Role of Amylase in Ovarian Cancer

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Role of Amylase in Ovarian CancerMai MohamedUniversity of South Florida, [email protected]

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Role of Amylase in Ovarian Cancer

by

Mai Mohamed

A dissertation submitted in partial fulfillment

of the requirements for the degree of

Doctor of Philosophy

Department of Pathology and Cell Biology

Morsani College of Medicine

University of South Florida

Major Professor: Patricia Kruk, Ph.D.

Paula C. Bickford, Ph.D.

Meera Nanjundan, Ph.D.

Marzenna Wiranowska, Ph.D.

Lauri Wright, Ph.D.

Date of Approval:

June 29, 2017

Keywords: ovarian cancer, amylase, computational analyses, glycocalyx, cellular invasion

Copyright © 2017, Mai Mohamed

Dedication

This dissertation is dedicated to my parents, Ahmed and Fatma, who have always stressed the

importance of education, and, throughout my education, have been my strongest source of

encouragement and support. They always believed in me and I am eternally grateful to them. I

would also like to thank my brothers, Mohamed and Hussien, and my sister, Mariam. I would also

like to thank my husband, Ahmed. You have all been a bottomless source of strength,

encouragement, and love throughout my Ph.D. Thank you. I love you. I would like to thank Dr.

Kruk. Your continued support and patience are the reasons I was able to get his far. I would like

to thank Stephanie Buttermore, my lab mate, for keeping me sane on my craziest days.

Acknowledgements

It is a pleasure to thank all of those who made this dissertation possible. I want to sincerely thank

Dr. Patricia Kruk for accepting me into her lab and for her guidance, support, and patience over

the years. The lessons and skills I learned from her during my time her lab will be invaluable in

my future endeavors. I would like to thank my committee members, Dr. Paula C. Bickford, Dr.

Meera Nanjundan, Dr. Marzenna Wiranowska, and Dr. Lauri Wright for their time and valuable

insight on my dissertation research. I would also like to thank Dr. Eric Bennett for welcoming me

into the program, as well as the rest of the Medical Sciences program and Pathology and Cell

Biology departmental staff who have provided support for me during my time at the University of

South Florida. Finally, thank you to all of the Kruk Lab members, past and present. Special thanks

to my current fellow lab member: Stephanie Buttermore for her insight and for always making my

time at the lab such a fun and entertaining experience. Finally, I would like to thank my family

and friends for encouraging me over the last four years. It has been a long road that I would not

have been able to travel on my own.

i

Table of Contents

List of Tables v

List of Figures vi

List of Abbreviations viii

Abstract xiii

Chapter 1 Overview of Ovarian Cancer Biomarkers 1

Ovarian Cancer 1

Literature-derived OC protein biomarkers 3

Cytokines and growth factors 5

Interleukin-6 (IL-6) 5



Prolactin (PRL) 6

Transforming growth factor beta 1 (TGF-β1) 6

Tumor necrosis factor alpha (TNFα) 7

Vascular endothelial growth factor (VEGF) 7

Structural and extracellular matrix proteins 8

Transmembrane proteins 8

Claudin-3 and -4 8

Mucin 1 (MUC1) 9

Mucin 4 (MUC4) 9

Mucin 16 (CA125) 9

Structural and matrix-related proteins 10

Collagen (COL1A1 and COL11A1) 10

Human plasminogen activator inhibitor-1 (PAI-1) 10

Kallikrein (KLK-10,-11) 11

Matrix metalloproteinases (MMP-2 and -9) 12

Osteopontin (SPP1) 12

Stress induced phosphoprotein 1 (STIP1) 13

Metabolic regulators 13

Apolipoprotein E (ApoE) 13

Fatty acid synthase (FASN) 13

Receptors 14

Folate receptor-α (FLOR1) 14

Proteins of unknown function in ovarian cancer 15

ii

Human epididymis protein 4 (HE4) 15

Mesothelin (MSLN) 15

Prostasin (PRSS8) 16

Shared Computational Characteristics 19

Characteristics of secreted proteins 19

Characteristics of stable proteins 20

Identifying additional key regulators of ovarian cancer 24

Rationale 31

Central Hypothesis 31

Aim 1 32

Aim 2 32

Aim 3 32

Chapter 2 Computational Analysis of Amylase Isozymes Contributing to Ovarian

Cancer 34

Introduction 34

History of the amylase genes 34

Evolution and expression of amylase genes 35

Amylase gene regulation 37

Differentiating amylase isozymes 38

Known amylase characteristics 39

Amylase in cancer 40

Objectives 41

Materials and methods 41

Sequences used in computational characterization 41

Amylase isozyme homology 41

Protein biochemical properties databases 41

Protein disorder 42

Secondary structure prediction 42

Posttranslational modification 43

Transcription regulation by promoter analysis 43

Mutational analysis of the amylase isozymes 43

Clinical specimens 44

Western blot 44

Results 45

Amylase isozymes are highly homologous 45

Amylase isozymes have similar molecular weights and isoelectric points 45

Amylases are highly ordered proteins with one predicted protein binding site 45

Amylase isozymes are hydrophilic 50

Amylase is predicted to be glycosylated and phosphorylated 50

The amylase isozymes have common domains, and structural features 51

Amylase isozymes have unique binding regions for chloride, calcium

and glucose 52

The amylase isozymes have similar secondary and tertiary structure profiles 54

Multiple regions of amylase are prone to aggregation 55

iii

The amylase isozymes functionally interact with metabolic proteins 56

Amylase isozyme expression may be driven by differential promotor

activation 59

AMY2B overexpression is the most likely to be associated with

amplification mutations in cancer 60

Clinical validation confirms elevated levels of AMY2B protein in OC 67

Discussion 69

Chapter 3 Amylase Promotes Ovarian Cancer Cell Invasion In Vitro 79

Introduction 79


Tissue culture 80

Transmission Electron microscope (TEM) 80

Quantitative PCR 81

Western blot 82

Amylase ELISA 82

Amylase activity assay 83

Amylase transfection 83

Invasion assay 84

Glycosaminoglycan (GAG)/proteoglycan quantitative assay 84

Immunogold staining 84

Statistical analysis 85

Results 85

Confirmation of yeast-free cultures 85

OC cells overexpress amylase in vitro 87

Amylase secreted by OC cells is metabolically active 91

Inhibiting amylase decreases OC invasion 93

The gylcocalyx of OC cells is thicker than the glycocalyx of IOSE cells 94

Inhibiting amylase increases GAG production 98

Discussion 99

Chapter 4 Regulation of amylase by spirulina 103

Introduction 103


Tissue culture 104

Microarray 105

Quantitative PCR 105

Western blot 106

Amylase ELISA 106

Invasion assay 107

MTS assay 107

Statistical analysis 107

Results 108

Amylase is a downstream target of spirulina 108

Spirulina downregulates amylase mRNA expression in OC cell lines 108

Spirulina downregulates amylase protein expression in OC cell lines 109

iv

Spirulina reduces amylase secretion by OC cell lines 112

Spirulina decreases the invasive capacity of OC cells 113

Spirulina decreased migration of OVCAR5 cells 113

Spirulina does not alter OC proliferation 115

Phycocyanin abrogates amylase RNA expression 116

Spirulina-induced inhibition of OC invasion is driven, in part, by

Phycocyanin 117

Discussion 118

Chapter 5 Concluding Remarks 121

Chapter 6 References 126

Appendix I Potential novel regulators or biomarkers of OC – 683 proteins in total

of non-redundant, secreted, ordered and aggregation-prone

human proteins. 176

v

List of Tables

Table 1.1 Functional and clinical characteristics of OC biomarkers 4

Table 1.2 Computational characteristics of OC biomarkers 17

Table 1.3 Proteins that interact with literature reported ovarian cancer biomarkers 28

Table 2.1 Biochemical properties of amylase determined by computational analyses 47

Table 2.2 Secondary structural and posttranslational modifications among

amylase isozymes 51

Table 2.3 Proteins that functionally interact with amylase isozymes 58

Table 2.4 Distinguishing computational characteristics among amylase isozymes 72

Table 3.1 AMY1 and AMY2B are typically overexpressed in cancer cells 91

Table 4.1 Spirulina transcriptionally targets amylase 108

vi

List of Figures

Figure 1.1 OC biomarkers have functional interactions 25

Figure 1.2 Summarial schematic identifying additional protein regulators of OC 26

Figure 1.3 Identification of proteins that interact with literature-derived OC biomarkers 30

Figure 2.1 Schematic of mammalian amylase gene distinction 36

Figure 2.2 Amylase proteins are highly homologous 46

Figure 2.3 Amylase isozymes are ordered proteins 48

Figure 2.4 Amylase isozymes are hydrophilic 49

Figure 2.5 Amylase isozymes share structural features 53

Figure 2.6 AMY2A has a unique 3D structure 54

Figure 2.7 Amylase isozymes have multiple aggregation prone regions 55

Figure 2.8 Amylase isozymes form functional interactions with other metabolic enzymes 57

Figure 2.9 AMY2B has unique potential transcription factors 61

Figure 2.10 Mutational events are highest in AMY2B 62

Figure 2.11 AMY2B is altered in most cancer types 63

Figure 2.12 AMY2B is the most expressed amylase isozyme in OC 66

Figure 2.13 Serum levels of AMY2B protein are altered in OC 68

Figure 3.1 Establishing cell cultures are free of yeast 86

Figure 3.2 Amylase AMY1 and AMY2B RNA are typically expressed in OC cell lines 88

Figure 3.3 Most non-OC cell types express AMY1 and AMY2B RNA 88

vii

Figure 3.4 AMY1 and AMY2B protein are overexpressed in OC cell lines 89

Figure 3.5 OC cells produce more amylase than normal cells 92

Figure 3.6 OC cells secrete more metabolically active amylase than IOSE cells 93

Figure 3.7 Abrogation of amylase reduces invasion in OC cells 95

Figure 3.8 The glycocalyx of OC cells is thicker than IOSE cells 96

Figure 3.9 Amylase can be localized to the OC cells glycocalyx/cell surface 97

Figure 3.10 Amylase promotes GAG digestion 98

Figure 4.1 Spirulina downregulates most amylase isozymes in cancer cells 110

Figure 4.2 Spirulina transcriptionally downregulates amylase in OC cell lines 111

Figure 4.3 Spirulina reduces amylase protein levels in OC cell lines 111

Figure 4.4 Spirulina reduces amylase secretion in OC cell lines 112

Figure 4.5 Spirulina decreased invasive capacity in OC cells 113

Figure 4.6 Spirulina reduced migration in OVCAR5 cells 114

Figure 4.7 Spirulina treatment did not alter IOSE or OC cell survival and

Proliferation 115

Figure 4.8 Phycocyanin abrogates amylase expression in OC cells 116

Figure 4.9 Spirulina driven inhibition of OC invasion is partly mediated by

phycocyanin 117

Figure 5.1 Schematic of the possible influence of amylase in altering the glycocalyx

of OC cell and consequently lead to a more malignant phenotype. 124

viii

List of Abbreviations

AGL Glycogen debranching enzyme

AKAP1 Kinase A anchor protein 1

AKAP8 Kinase A anchor protein 8

AMY Amylase

ApoE Apolipoprotein E

ATP1A1 ATPase, Na+/K+ transporting, Alpha 1 polypeptide

ATP1A4 ATPase, Na+/K+ transporting, Alpha 4 polypeptide

BRCA1/2 BReast Cancer gene 1/2

BPI Bacterial/perimeability-increasing protein

CAC Cacodylate

CCM Concentrated conditioned media

CD2 CD molecule

cDNA Complementary DNA

cdx-1 Caudal Type Homeobox (transcription factor) 1

C/EBP CCAAT/enhancer-binding protein

CLDN3 Claudin-3

CLDN4 Claudin-4

COL1A1 Collagen, type I, alpha I

COL10A1 Collagen, type X, alpha 1

ix

COL11A1 Collagen, type XI, alpha 1

CPE Clostridium perfringens enterotoxin

CSSP Consensus Secondary Structure Prediction

CT Computed tomography

Ct Threshold cycle

DEPP Disorder enhanced phosphorylation predictor

ECM Extracellular matrix

ENO1 Enolase 1

EOC Epithelial ovarian cancer

EPD Eukaryotic Promoter Database

ETOH Ethanol

FASN Fatty Acid synthase

FBS fetal bovine serum

FOLR1 Folate receptor-α

FT Fallopian tube

GA Glutaraldehyde

GAG Glycosaminoglycans

GBE1 Glucan (1,4-alpha-) branching enzyme 1

GEMM Genetically engineered mouse models

GP2 Glycoprotein 2

GRAVY Grand average of hydropathy

GRE General transcriptional enhancer

HE4 Human epididymis protein-4

x

HDL high-density lipoprotein

HLDL Very low-density lipoproteins

HOSE Human ovarian surface epithelial

HRP Horseradish peroxidase

IL-6 Interleukin-6

IL-8 Interleukin-8

IL-10 Inerleukin-10

iNOS inducible nitric oxide synthase

IOSE Human ovarian surface epithelial

IP Intraperitoneal

IP3 Inositol trisphosphate

KLK10 Kallikreins-10

KLK11 Kallikreins-11

LCT Lactase

LDL Low-density lipoprotein

LTR Long terminal repeat

MGAM Maltase-glucoamylase

MRI Magnetic resonance imaging

MMP-2 Metalloproteinase-2

MMP-9 Metalloproteinase-9

MSLN Mesothelin

MUC1 Mucin 1

MUC4 Mucin 4

xi

MUC16 Mucin 16

NACB National Academy of Clinical Biochemistry

NADPH Nicotinamide adenine dinucleotide phosphate

NO Nitric oxide

OC Ovarian cancer

OSE Ovarian surface epithelial

OsO4/0.8% K4Fe(CN)6 Osmium tetroxide-potassium ferrocyanide

PAI-1 Human plasminogen activator inhibitor-1

PCR Polymerase chain reaction

PET Positron emission tomography

PFA Paraformaldehyde

PGM1 Phosphoglucomutase 1

pI Isoelectric point

PKC Protein kinase C

PLC Phospholipase C

PLCO Prostate, Lung, Colorectal and Ovarian screening trial

PNLIP Pancreatic lipase

POU1F1 Pituitary-Specific Positive Transcription Factor 1

PRL prolactin

PRSS8 Prostasin

PVDF Polyvinylidene fluoride

PYGB Glycogen phosphorylase, brain form

PYGL Glycogen phosphorylase, liver form

xii

RNA Ribonucleic acid

ROS Reactive oxygen species

SDS-PAGE Sodium dodecyl sulfate polyacrylamide gel electrophoresis

SERPINE1 Human plasminogen activator inhibitor-1

sGAG Sulfated glycosaminoglycans

SI Sucrose-isomaltase

SMAD Mothers against decapentaplegic homolog 3

SPP1 Osteopontin

STAT3 Signal transducer and activator of transcription 3

STAT5A Signal transducer and activator of transcription 5A

STIP1 Tumor stress-induced phosphoprotein

TAS Transabdominal ultrasound

TBST Tween 20-Tris buffered Saline

TG Triglycerides

TGF Transforming growth factor

TGF-β1 Transforming growth factor beta 1

TNFα Tumor necrosis factor alpha

TSHB Thyroid Stimulating Hormone, Beta

TVS Transvaginal ultrasound

VEGF Vascular endothelial growth factor

WFDC2 WAP Four-Disulfide Core Domain 2

HE4 Human epididymis protein-4

Zic1/2 Zic Family Member 1/2

xiii

Abstract

Ovarian cancer (OC) accounts for 4% of all cancer cases and 4.2% of all cancer deaths

worldwide. OC is the most lethal gynecological cancer because it lacks early disease symptoms

and does not have a specific diagnostic marker. As a result, more than 70% of OC patients are

diagnosed in later stages when the disease has already metastasized and the 5-year survival rate

has decreased to less than 20% compared with approximately 90% survival for women diagnosed

with early stage disease. Therefore, I initiated my studies with a computational analysis of the 27

most commonly reported literature-derived ovarian cancer (LDOC) protein biomarkers. I found

that LDOC protein biomarkers share many biochemical features including a preponderance for a

stable protein structure, the ability to be secreted, and functionality related to extracellular matrix

(ECM) modification, immune response and/or energy production. Subsequently, I analyzed the

human proteome to identify proteins that also share these biochemical features. Of the 70,616

proteins in the human proteome, 683 proteins were found to have similar biochemical features to

the 27 LDOC proteins. I also identified a subset of 21 potential additional protein regulators of

ovarian cancer (APROC) that interact with LDOCs. Three of the APROCs identified were amylase

proteins AMY1A, AMY2A, and AMY2B which cleaves alpha 1, 4-glycosidic bonds in

polysaccharides. Amylase is reportedly overexpressed in and secreted by ovarian tumors but its

functional contribution to OC remains unknown[1]. In this thesis, I posit that amylase contributes

xiv

to OC invasion. I initiated my studies by computational characterizing the different amylase

isozymes to predict which amylase isozyme(s) is most likely overexpressed in and contributory to

OC invasion. I found that AMY1 and AMY2B have unique regions of disorder and unique

phosphorylation sites indicating that AMY1 and AMY2B would be more likely to interact with

other proteins, and to be easily secreted. Using OC patient serum samples, I was able to validate

AMY1 and AMY2B overexpression by western immunoblotting.

I then developed an in vitro model system to study the molecular contribution of amylase

to OC invasion using normal ovarian surface epithelial (IOSE) and OC cell lines. I showed that

OC cells generally overexpress and secrete metabolically active amylase isozymes AMY1 and

AMY2B. Abrogating amylase activity using siRNA silencing technology decreased the capacity

of OC cells to invade collagen coated Boyden chambers and increased sulfated

glycosaminoglycans (sGAG) production. Since a survey of OC cell lines indicated that cancer cells

have a bulkier glycocalyx compared to IOSE cells and immunogold labeling studies indicated the

presence of amylase within the immediate OC microenvironment, my data suggest that, by

cleaving alpha 1, 4-glycosidic bonds in glycoconjugates present within ECM, amylase may

remodel the ECM to promote an invasive cancer phenotype. Amylase is therefore a target for

therapeutic intervention in OC patients with hyperamylasemia. I established Spirulina, a dietary

supplement, as a novel transcriptional inhibitor of amylase. Spirulina inhibited amylase expression

in OC cell lines at both the message and protein levels. Spirulina reduced OC cell invasion and

migration in vitro, putatively by decreasing amylase expression.

1

Chapter 1

Overview of Ovarian Cancer Biomarkers

Ovarian Cancer

Ovarian cancer (OC) is the 5th leading cause of cancer death in women in the US after lung,

bronchial, breast, colorectal, and pancreatic cancers [2]. OC represents the most lethal

gynecological cancer [3]. Approximately 22,000 new cases are diagnosed each year and

approximately 14,000 women die from OC each year [2]. While the causes of OC remain

unknown, risk factors for OC include Caucasian race, age, increased number of ovulatory cycles

associated with early menarche, late menopause, nulliparity [4], family history of breast and/or

ovarian cancer, and BReast CAncer genes 1 and 2 (BRCA1/2) mutations [5–7].

A precursor of epithelial OC has not been identified [8,9] and the site of origin of OC remains

unknown [10]. OC is thought to arise from the ovarian surface epithelium [11,12], a specialized

mesothelial layer of cells derived from the coelomic epithelium [10] that covers and protects the

ovary [13]. The coelomic epithelium also gives rise to the epithelia of the peritoneum, the fallopian

tubes (FTs) and the uterus and expresses mesenchymal markers Vimentin and N-Cadherin [14].

Further, the common embryonic origin of the epithelia lining the majority of the female

reproductive tract is reflected in histologic subtypes of OC [15] such that serous, mucinous and

endometrioid OCs histologically mimic the epithelium lining the FT, cervix and uterus,

respectively [16]. Recent studies suggest the FT is an alternate source of OC [10], because serous

2

carcinoma, the most frequent OC subtype, resembles the FT [17]. High grade serous OCs account

for much of the mortality associated with OC due to their aggressive phenotype evidenced by

disease relapse following initial treatment and emergence of drug-resistant disease. [18–20].

Lastly, some OC may arise from extra-ovarian origins, i.e. clear cell OC mimics renal clear cell

carcinoma and mucinous OC bears a resemblance to the gastrointestinal tract [20,21].

Symptoms of OC are generally vague and unspecific; symptoms include bloating, pelvic

discomfort, gas pains and a change in urinary frequency. OC symptoms appear during early disease

stages, but the symptoms are usually mistaken for benign intestinal, musculoskeletal, or

gynecologic conditions. Eighty-nine percent of OC patients experience symptoms during the first

stages of disease and 97% of OC patients experience symptoms in the later stages of disease.

Unfortunately, the non-specific nature of symptoms and a lack of a specific screening test results

in OC generally being diagnosed when it has already metastasized [5].

Current modalities for the detection of OC include pelvic examination, transvaginal ultrasound,

transabdominal ultrasound, and serum CA125 levels (see below). Other imaging methods include

computed tomography, magnetic resonance imaging, and positron emission tomography.

However, none of these modalities is sufficiently sensitive or specific to identify OC, especially

in early stage disease when the 5-year survival rate can be as high as 90% [4,22]. As a result, the

5-year survival for OC patients diagnosed at late stages is generally no better than 30% [23].

Consequently, identifying new screening and detection methods as well as further elucidating the

etiology of OC remains imperative to improving OC patient survival [24].

3

Literature-derived OC protein biomarkers

A number of OC biomarkers has been reported to date and include biomarkers found elevated

in the serum, urine and/or tissues of OC patients [25]. These biomarkers may have not only

diagnostic and prognostic clinical value as indicators of survival time, drug resistance and

recurrent disease, but also serve as possible therapeutic targets. OC biomarkers have been

associated with molecular and cellular processes that include inflammation, cellular movement,

proliferation and cell death. Many OC biomarkers also play a role in cancer development by

regulating metastasis, angiogenesis, immune responses, cell cycle regulation and inflammation

[26].

In order to identify the most prominent protein biomarkers associated with OC, a review of the

literature was carried out and monomer protein OC biomarkers with more than 100 publications

in Pubmed or proteins explored by the Prostate, Lung, Colorectal, and Ovarian (PLCO) screening

trial and/or the National Academy of Clinical Biochemistry (NACB) due to their potential

diagnostic and prognostic utility were selected for further review by computational analyses. The

resulting set of 27 biomarkers identified are typically overexpressed in OC patient serum and tissue

and are associated with poor clinical outcome (Table 1). These biomarkers fell within the following

categories:

(1) Cytokines and growth factors: interleukin-6 (IL-6), interleukin-8 (IL-8/ CXCL8), interleukin-

10 (IL-10), prolactin (PRL), transforming growth factor beta 1 (TGF-β1), tumor necrosis factor

alpha (TNFα) and vascular endothelial growth factor (VEGF);

(2) Structural and Extracellular matrix (ECM) related proteins: claudin 3,4 (CLDN3,4),

collagen1A1, 11A1 (COL1A1 and COL11A1), human plasminogen activator inhibitor-1

(SERPINE1), kallikreins-10, -11 (KLK-10, -11), metalloproteinase-2, -9 (MMP-2, -9), mucin 1

4

(MUC1), mucin 4 (MUC4), mucin 16 (MUC16), osteopontin (SPP1) and phosphoprotein 1

(STIP1);

(3) Metabolic regulators: apolipoprotein E (ApoE) and fatty acid synthase (FASN);

(4) Receptors: folate receptor-α (FOLR1);

(5) Proteins of unknown functions in cancer: human epididymis protein 4 (WFDC2/HE4),

mesothelin (MSLN), and tumor stress-induced prostasin (PRSS8).

Table 1.1: Functional and clinical characteristics of OC biomarkers

Protein

Protein expression Clinical outcomes

Ref

eren

ces

Ser

um

Tis

sue

Cy

stic

flu

id

Asc

ites

OC

cel

ls

Uri

ne

Can

cer

cell

pro

life

rati

on

Met

asta

sis/

inv

asio

n

Dru

g

resi

stan

ce

Red

uce

d

ov

eral

l

surv

ival

An

gio

gen

esis

Po

or

pro

gn

osi

s

Mar

ker

of

dis

ease

recu

rren

ce

Cytokines and growth factors

IL-6 [27–34] IL-8 [35–37] IL-10 [30,38,39] PRL [40–44] TGF-β1 [30,45–48] TNFα [49–53] VEGF [54–57] Adhesion proteins/proteases/ receptors

CLDN3 [58–66] CLDN4 [58–66] COL1A1 [67–69] COL11A1 [69–71] FOLR1 [72]

SERPINE

1

[73–76] KLK10 [77–91]

KLK11 [77–91] MMP2 [92–95] MMP9 [92–95] MUC1 [96–98] MUC4 [99–101] MUC16 [102–104] SPP1 [87,105–109] STIP1 [110–117] Metabolic Regulators

ApoE [89,118]

FASN [119–126] Proteins of unknown function

WFDC2 [87,127,128] MSLN [129–132] PRSS8 [133]

Grey shading indicates notable protein expression or reported clinical outcome.

5

Herein follows a brief review of these 27 proteins describing their diagnostic, prognostic,

and clinical use as well as their potential contribution and function in the etiology of OC.


While both cytokines and growth factors regulate the immune response, cytokines are small

polypeptides secreted from cells that stimulate proliferation, survival and differentiation of other

cells through cytokine receptors. Chemokines, a subtype of cytokines, attract cells to sites of

inflammation, thereby influencing cell migration. Cytokines overexpressed in OC enhance cancer

progression through increased cell survival, migration and chemoresistance [134].

Interleukin-6 (IL-6)

IL-6 is predominately a pro-inflammatory cytokine secreted by T-cells and macrophages to

stimulate the immune response [135]. However, in cancer cells, IL-6 may also promote metastasis

through down-regulation of E-cadherin, thereby inducing epithelial-mesenchymal transition

(EMT) [136]. IL-6 overexpression in OC cells results in an upregulation of anti-apoptotic

regulators and matrix metalloproteinase-9 leading to increased cancer cell proliferation and

invasion, respectively [31,34]. Elevated serum IL-6 is also associated with higher OC stage and

reduced chemotherapeutic responsiveness [32,33].


IL-8 is a chemokine produced by macrophages, endothelial cells and a number of epithelial

cells [137]. IL-8 overexpression increases OC cell proliferation [35] by activating the PI3K/Akt

and Raf/MEK/ERK pathways and altering cell cycle regulating proteins. In addition, IL-8

overexpression appears to enhance OC invasion through an upregulation of matrix

metalloproteinase (MMP2/9 – see below) expression and activity [36].

6


IL-10 is an anti-inflammatory cytokine that mediates the immune response through signal

transducer and activator of transcription 3 (STAT3) signaling [138] and effectively inhibits

bacterial-mediated induction of pro-inflammatory cytokines [139,140]. IL-10 levels are elevated

in the serum and ascites fluid of OC patients where it is thought to serve as a useful prognostic

biomarker indicative of disease recurrence [30,39] and worse overall survival [38] by diminishing

the immune response in OC patients.

Prolactin (PRL)

Secreted by the pituitary, PRL is best known for its role to stimulate milk production [141].

However, specific PRL isoforms secreted by monocytes have been shown to enhance the

inflammatory response [142]. Further, by promoting endothelial cell migration and angiogenesis

via enhanced ERK1/2 and STAT5 signaling as well as enhancing breast cancer cell migration

through modulation of the actin cytoskeleton, PRL is believed to promote breast cancer

progression [40,41]. Prolactin is a circulating cytokine/hormone secreted by ovarian follicular cells

[42]. PRL is significantly elevated in OC patient serum [43] where it is believed that increased

PRL expression increases OC PRL receptor expression leading to enhanced OC proliferation via

activation of the MAPK/ERK1 pathway [42]. Further, PRL acts as a tumorigenic agent by

activating Ras in normal ovarian epithelial cells while also protecting these cells from apoptosis

following chemotherapeutic treatment [42]. Lastly, PRL overexpression can enhance OC

migration via reduction of E-cadherin expression [44].

Transforming growth factor beta 1 (TGF-β1)

TGF-β1, a member of the transforming growth factor beta family, is a highly pleiotropic

cytokine involved in cell growth, proliferation, differentiation and apoptosis through Mothers

7

against decapentaplegic homolog 3 (SMAD3) signaling in OC [143–145]. TGF-β1 promotes

tumor cell-mediated ECM remodeling. TGF-β1 increases proteinase and plasmin expression by

tumor cells which creates a positive regulatory feedback loop that increases TGF-β1 activation and

release with subsequent ECM degradation. TGF-β1 expression also upregulates MMP expression

leading to increased ECM remodeling [146]. Elevated TGF-β1 serum levels parallel OC stage and

correlate with metastatic disease [30]. Likewise, OC patients with drug resistant disease also

demonstrate elevated serum TGF-β1 [45] so that OC patients with TGF-β1 overexpression have

poor prognosis [46]. Overexpressed TGF-β1 stimulates tumor growth and angiogenesis in

xenograft OC models [47] and OC metastasis through MMP-2 activation [48].

Tumor necrosis factor alpha (TNFα)

TNFα is typically produced by macrophages and lymphocytes to control immune cells during

the immune response [137]. However, TNFα is a multifunctional cytokine mediating diverse

cellular effects including apoptosis, angiogenesis and cell migration [50,51]. Consequently, TNFα

has been implicated in both anti- and pro-tumorigenic roles [147]. TNFα is overexpressed in OC

tissue [49]. Since TNFα overexpression modulates the expression of other cytokines, including IL-

6 and IL-8, TNFα may mediate inflammatory stimuli that contribute to OC tumorigenesis [52].

TNFα can also act as an endogenous tumor promoter contributing to cellular transformation,

invasion, dissemination and angiogenesis in OC [50,53].

Vascular endothelial growth factor (VEGF)

The VEGF family consists of endothelial cell mitogens that enhance endothelial cell growth

and migration following binding to cell surface receptors that trigger activation of receptor tyrosine

kinases [148]. Secreted VEGF recruits and promotes progenitor endothelial cell growth and

migration that create leaky and permeable cancer vasculature for nutrient transportation and waste

8

removal necessary to the survival, proliferation, invasion and metastasis of cancer cells. VEGF

also acts as an anti-apoptotic factor for recruited endothelial cells [54]. VEGF released by and

sequestered in the ECM can be activated by extracellular cleavage by MMPs. Active VEGF then

binds to ECM collagens and proteoglycans in the ECM that then remodel the ECM to enhance

vascular branching and capillary density [149]. Overexpression of VEGF in OC tissue and patient

serum is associated with poor overall survival and can be indicative of tumor recurrence [55].

Serum VEGF levels have been used to predict patients’ response to anti-angiogenic treatment [56].

VEGF levels in the ovarian cyst fluids are elevated in malignant OC tumors compared with benign

or borderline cysts and tumors and inhibiting VEGF expression can lead to suppression of tumor

growth [57].

Structural and extracellular matrix (ECM) related proteins

Transmembrane proteins

Claudin-3 and -4

Claudins (20-27 kDa), a family of transmembrane proteins, play a central role in tight junction

formation, thereby maintaining epithelial integrity [58]. Both claudin-3 and claudin-4 have been

reported to be overexpressed in OC cells [58–65] and associated with increased cancer cell

survival, invasion and motility which may be mediated, in part, through increased MMP-2 activity

(see below). Claudins also play a role in drug resistance since claudin-4 is overexpressed in

cisplatin-resistant OC cells [66]. Claudin-3 and claudin-4 also act as specific receptors of

Clostridium perfringens enterotoxin (CPE) by mediating endotoxin-dependent cell lysis

[150,151]. Treatment of xenograft ovarian tumors with CPE-based therapies results in inhibited

tumor growth suggesting that claudin-3 and claudin-4 may serve as potential targets for therapeutic

intervention in OC [89,152].

9

Mucin 1 (MUC1)

MUC1, also known as CA15-3, is a highly glycosylated transmembrane glycoprotein that

facilitates invasion, metastasis, immune system evasion, drug resistance, and survival via the ErbB

and β-catenin-Wnt pathways [96–98]. MUC1 is overexpressed on OC cell surfaces and in OC

patient serum. Compared with normal cells, MUC1 expressed by cancer cells is structurally

different – it is attached to shorter and less dense O-glycan moieties, thereby unmasking novel

protein core epitopes that can be exploited to create antibodies differentiating between normal and

diseased cells. MUC1 is overexpressed in over 90% of OC, but only 5% of normal ovarian tissue.

Mucin 4 (MUC4)

MUC4 is a highly glycosylated glycoprotein that lubricates epithelial cell surfaces. MUC4 is

also a signal modulator that can alter tumor phenotype by reorganizing actin indirectly by HER2-

mediated pathways [153]. MUC4 expression was reported to be upregulated in 100% and 88% of

early (stage I and II) and advanced (stage III and IV) OC samples, respectively – with an overall

incidence of 92% in OC samples. Though MUC4 plays a diagnostic role, there is no prognostic

correlation of MUC4 expression with prolonged patient survival [99]. OC cells in effusions have

higher MUC4 expression when compared with solid OC primary tumors and metastases [100].

MUC4-expressing OC cells demonstrate an enhanced motility due to the formation of

lamellipodia, filopodia and microspikes [101].

Mucin 16 (CA125)

Mucin16, a transmembrane mucin known as CA125, is a widely used serum marker of OC

[102]. However, CA125 can be elevated in benign conditions, including menstruation,

endometriosis and pregnancy as well as in malignancies of the liver, lung, bladder and pancreas

contributing to false positive results. In healthy adults, CA125 can be expressed in coelomic and

10

Mullerian epithelium, as well as the pancreas, colon, gall bladder, lung, kidney, and stomach

epithelia. While CA125 values below 35U/L are considered normal, CA125 is only elevated in

50% of stage I OC patients leading to many false negative results. CA125 is elevated in 75-90%

of advanced stage ovarian disease and CA125 is elevated in approximately 80% of epithelial OCs.

[103,104]. CA125 plays a role in OC peritoneal metastasis by interacting with mesothelin. CA125

also plays an immunosuppressive role in OC by inhibiting natural killer cells’ cytotoxic responses

[98].

Structural and matrix-related proteins

Collagen (COL1A1 and COL11A1)

Collagens are abundant fibrous proteins found in the ECM. Collagen I (COL1A1) is the most

abundant structural constituent of the ECM of OC and has been shown to enhance OC adhesion

and proliferation by interacting with integrin receptors α3β1 and α6β1 that then activate the Ras,

Erk and Akt pathways in OC cell lines [154]. Collagen XI (COL11A1), which is absent in most

tissues, is overexpressed in OC ECM and OC patient serum potentially serving as one of the

earliest indications of cancer initiation and progression [67,69]. COL11A1 overexpression, as

triggered by TGF-β1 activation and SMAD2 signaling, promotes MMP3 activation in OC [68].

COL11A1 overexpression enhances OC migration and invasion [70]. The overexpression of

collagen by OC also serves to reduce chemotherapeutic drug efficacy by inhibiting drug

penetration/access to OC cells, therefore, contributing to drug resistance and OC tissue survival

[71].

Human plasminogen activator inhibitor-1 (PAI-1)

PAI-1, also known as SERPINE1, is a serine protease inhibitor that plays a role in tissue

remodeling [75]. Inactive plasminogen is converted to broad spectrum serine protease plasmin by

11

urinary (uPA) or tissue-type (tPA) plasminogen activators (PAs) which then cleave ECM

components such as fibronectin, laminin, vitronectin, proteoglycans, and fibrins. PAs are regulated

by plasminogen activator inhibitors (PAI) which curb plasmin generation [155]. PAIs prevent the

cleavage of plasminogen by binding to the active site of PA [156]. PAI is overexpressed in OC

patient serum [73] and tissue [74]. PAI-1 overexpression is associated with proliferation and PAI-

1 inhibitors can act as anticancer agents. PAI-1 expression is associated with poor prognosis [75]

and lower overall survival [73]. Overexpressed PAI-1 has been correlated with higher grade OC

tumors and a higher probability of disease recurrence [76].

Kallikrein (KLK-10, -11)

Kallikriens (KLKs) comprise a family of 15 secreted serine proteases that are dependent upon

a serine in their catalytic site. Secreted into the tumor microenvironment, KLKs, which are thought

to be stimulated by a steroid hormone–driven cascade [84], are involved in tissue remodeling and

neoplastic disease progression [77–79] by promoting ECM degradation, cellular invasion and

metastasis [80–83]. Kallikrein-4, -5, -6, -7, -8, -10, -11, -13, -14, and -15 are overexpressed in OC

tissues, serum, and cell lines at the mRNA and protein levels. Kallikrein-4, -6, and -10 are highly

expressed in serous epithelial ovarian tumors, and kallikrein-5, -11, and -13 are found in non-

serous ovarian tumors. Kallikrein–8, -10, -11, -13 and -14 have also been found in ascites fluid of

OC patients [84]. Further, kallikrein-10 and -11, which are promising OC serum biomarkers are,

respectively, elevated in approximately 56% and 70% of OC patients serum and tissue [85–88].

Upregulation of KLKs in OC has been associated with worse overall survival, although conflicting

reports indicate that further research is required [89–91].

12

Matrix metalloproteinases (MMP-2 and -9)

MMPs consist of a group of 23 proteins that play an important role in tumor progression by

degrading the basement membrane and ECM components; MMP2 cleaves fibronectin, vitronectin

and collagen I [157] into smaller fragments that enhance adhesion of OC cells via α5β1 (fibronectin

receptor) and αVβ3 (vitronectin receptor) integrin binding [158] and MMP9 degrades E-cadherin

which is involved in cell-cell adhesion and differentiation [93]. MMP-2 and -9 play a role in tumor

metastasis, migration, angiogenesis, cell proliferation and cell–cell interactions [92,93], therefore,

MMP-2 and -9 expression has been associated with poor survival [94]. Differential MMP

expression in OC tissue can be used to distinguish different OC subtypes and determine prognosis;

MMP-2 and -9 are more highly expressed in serous OC than mucinous OC tumors. MMP-2

expression is higher in benign tumors versus borderline and malignant tumors, but MMP-9

expression is higher in malignant tumors versus borderline tumors [95].

Osteopontin (SPP1)

Osteopontin, a glycophosphoprotein found in all body fluids and expressed in the ECM, is

involved in embryonic development, wound healing and tumor development. Osteopontin appears

to promote tumor growth, survival, angiogenesis and metastasis by upregulation of the PI3K/Akt

pathway [105] and MMP-9 activity [87,106,107]. Of clinical significance, osteopontin expression

is higher in OC cells, ovarian tumor tissue and serum of OC patients when compared with healthy

control patients. Osteopontin expression is higher in borderline and invasive tumors than in benign

tumors and normal ovaries, which suggests that osteopontin may be effective to detect early stage

OC [108,109].

13

Stress induced phosphoprotein 1 (STIP1)

Stress induced phosphoprotein 1 (STIP1) forms nuclear scaffolds supporting formation of

protein complexes that participate in transcription, protein folding, signal transduction and cell

cycle regulation [159,160]. STIP1 is elevated in melanoma, glioma, hepatocellular carcinoma and

pancreatic cancer and is believed to induce survival and invasion in cancer by modulating the

SMAD pathway and MMP-2 expression [110–115]. STIP1 is significantly higher in OC patients

tissue and serum versus normal age-matched patients [116,117]. Analysis of STIP1 levels in OC

patients with low CA125 levels revealed that STIP1 levels can be used to detect invasive OC as

an alternative diagnostic marker of OC [161].

Metabolic regulators

Apolipoprotein E (ApoE)

ApoE is an essential component of the plasma lipoproteins responsible for cholesterol

transportation and metabolism. ApoE is mostly found in the liver, brain, adrenal glands, kidney,

and macrophages and is associated with cholesterol-rich proteins [162]. ApoE expression has been

associated with serous OC, but not with borderline serous tumors or normal ovarian surface

epithelial. Inhibiting ApoE expression leads to G2 cell-cycle arrest and apoptosis in ApoE-

expressing OC cells, indicating ApoE is important for OC proliferation and survival [89,118].

Fatty acid synthase (FASN)

FASN, a cytoplasmic enzyme, is involved in de novo fatty acid synthesis via Nicotinamide

adenine dinucleotide phosphate (NADPH)-dependent condensation of malonyl-CoA and acetyl-

CoA into palmitate [119]. Normal adult tissues minimally express FASN, however, FASN

overexpression has been reported in breast, colon, ovarian and prostate cancer [120,163–168] and

is associated with metabolic dysregulation in cancer cells. FASN levels are elevated in OC

14

development, in serous carcinoma [119–121], and especially in recurrent serous carcinomas [122].

Elevated FASN levels parallel cancer aggressiveness, predict poorer overall survival as well as

disease recurrence [119,120,122–126]. FASN-based therapies have been developed for recurrent

OC patients; FASN can be successfully targeted by C93, a FASN inhibitor, to induce apoptosis in

drug resistant OC cells [89,169]. Since FASN is elevated in >75% of OC, the use of therapies

targeting FASN has great potential, but current inhibitors of FASN have limited efficacy due to

cell impermeability and solubility as well as lack of cell selectivity [170,171].

Receptors

Folate receptor-α (FLOR1)

FOLR1, a 38–40 kDa [172] glycosylphosphatidyl-inositol-membrane anchored protein, is

found in the kidneys where it reabsorbs folate (vitamin B9) from the urine filtrate back into the

blood. FOLR1 is normally expressed in the apical surface of epithelial cells [72], especially in the

lung and kidney [172]. FOLR1 is overexpressed in epithelial cancer, including ovarian, renal, lung,

and breast cancers, though its function in cancer is unknown. Overexpressed FOLR1 can be used

to target cancer with therapeutic drugs or imaging agents. FOLR1 is overexpressed in 72% in

primary OC and 81.5% in recurrent tumors and FOLR1 expression is equal in primary, metastatic

and recurrent tumors. Over 90% of non-mucinous OCs overexpress FOLR1, and the level of

FOLR1 correlates with aggressiveness of the malignancy [72]. Secreted functional FOLR1 in the

blood serves as an OC biomarker [172]. While FOLR1 is not a prognostic marker since levels of

FOLR1 do not correlate with survival or tumor response to treatment [173], FOLR1 could deliver

therapeutic drugs to OC tumors. For example, BGC 945, a thymidylate synthase inhibitor, is

transported into the cell via FOLR1 and, therefore, targets cells that overexpress FOLR1 [89,174].

15

Proteins of unknown function in OC

Human epididymis protein 4 (HE4)

The WAP Four-Disulfide Core Domain 2 (WFDC2) gene encodes HE4, a secreted “four-

disulfide core” protein of unknown function. The four-disulfide core protein family is a varied

group of acid- and heat-stable proteins that have many proposed functions including aiding in

sperm maturation and storage [127,175]. HE4 is expressed at low levels in the female reproductive

tract, breast and respiratory system. HE4 is a 13KDa protein that is secreted as a 25kDa

glycosylated protein [176]. The WFDC2 gene is amplified in epithelial OC (EOC) tissue and this

is associated with increased HE4 in OC serum while HE4 expression remains low in normal tissue.

In comparison with CA125, serum HE4 levels have greater specificity in discriminating malignant

disease from benign ovarian disease and between early and late stage disease [127]. Likewise,

preoperative HE4 levels may be used to predict the extent and success of cytoreductive surgery

needed for optimal debulking [87,128]. Overexpression of HE4 in OC patients correlates with

lower overall survival and increased cisplatin resistance. Lastly, in vitro and in vivo HE4

overexpression increases tumor growth and cisplatin resistance in OC cells and tumors such that

targeting HE4 suppresses OC cells and tumor growth. HE4 may function by interacting with

EGFR, IGF1R, and TF HIF1α [176].

Mesothelin (MSLN)

The soluble mesothelin-related peptide (SMRP) gene encodes MSLN, a 40 kDa

glycosylphosphatidylinositol-anchored cell surface molecule, found on the cell surface of

mesothelial cells and overexpressed in the serum and urine of patients with mesotheliomas and

OC [129–131]. MSLN is highly expressed in non-mucinous OCs, including endometrioid, clear

cell, and transitional cell carcinoma as well as pancreatic adenocarcinomas, endometrium

16

carcinoma and lung carcinoma [177]. While the function of MSLN has not been fully elucidated,

MSLN binds to CA125 on tumor cell surfaces which may alter cell-to-cell adhesion and increase

metastasis to the peritoneum [178]. The development of m912, a human monoclonal antibody to

MSLN, imparts tumor cell toxicity [179]. In contrast, other reports suggest that presence of MSLN

after treatment in advanced-stage OC disease patients is associated with prolonged survival

[130,132].

Prostasin (PRSS8)

PRSS8, first isolated from seminal fluid, is expressed at low concentrations in a variety of

tissues including salivary gland, lung, bronchus, kidney, liver, pancreas, and colon, but is absent

in normal testis and ovary [180]. PRSS8 is a secreted prostatic serine protease and potential OC

biomarker [181]. The function of PRSS8 is not completely understood, however, it is thought to

play a role in fertilization [133,182]. Elevated PRSS8 levels in the serum of OC patients have been

detected with the highest level of PRSS8 detected in stage II of the disease [133].

17

*The protein sequences for the OC biomarkers isolated from the literature were retrieved from

Uniprot for bioinformatics analysis. The distribution of intrinsic protein disorder was analyzed

using disorder predictors PONDR® VLXT [183] and PONDR® VSL2 [184,185] which identify

regions of protein disorder and hydropathy. Amylpred 2 [186] was used to find protein sequences

prone to form protein aggregates. Uniprot [187] was used to determine regions of protein

Table 1.2. Computational characteristics of OC biomarkers

Proteins

Biochemical

Characteristi

cs

Posttranslational Modifications

Cellular

localization

Hydro

phil

ic

Ord

ered

Aggre

gat

ed

Gly

cosy

lati

on

Phosp

hory

lati

on

Sum

oyla

tion

Ace

tyla

tion

Sulf

atio

n

Ubiq

uit

inat

ion

Met

hyla

tion

Succ

inyla

tion

Pal

mit

oyla

tio

n

Myri

stoyla

tio

n

Pre

nyla

tion

Sec

rete

d

Mem

bra

ne

Cyto

pla

sm


IL-6

IL-8

IL-10

PRL

TGF-β1

TNFα

VEGF

Adhesion proteins/proteases/ receptors

CLDN3

CLDN4

COL1A1

COL11A

1

FOLR1

SERPIN

E1

KLK10

KLK11

MMP2

MMP9

MUC1

MUC4

MUC16

SPP1

STIP1

Metabolic Regulators

ApoE

FASN

Proteins of unknown function

WFDC2

MSLN

PRSS8

18

instability, signal localization, and binding sites. The predicted post-translational modifications of

each protein was elucidated using different programs. Phosphorylation was predicted using

PhosphoSitePlus (PSP) which provides phosphorylation, ubiquitination, acetylation and

methylation information pertaining to each protein as curated from literature and low- and high-

throughput data sources [188]. N-linked glycosylation was predicted using NetNGlyc 1.0 Server

which predicts the acceptor sites of N-linked glycosylation at Asn-Xaa-Ser/Thr (where Xaa is not

Pro) residues. NetNGlyc 1.0 Server predicts glycosylation with 76% overall accuracy [189]. O-

linked glycosylation was predicted using NetOGlyc 4.0 Server which predicts the addition of a

glycan moiety on Ser, Thr and Tyr residues. The NetOGlyc 4.0 determined glycosylated proteins

from mapping the proteome of different human cell lines [190]. Sumoylation was predicted by

SUMOplot Analysis Program. Sumoylation is the reversible attachment of a SUMO protein (11

kDa). SUMO protein is added to a peptide sequence of a hydrophobic residue bound to a lysine

bound to any amino acid followed by an acidic residue [191]. Palmitoylation, the reversible

attachment of a 16-carbon saturated fatty acid to a cysteine reside via a thioester linkage was

predicted vis NBA-Palm [192]. Acetylation was predicted to by NetAcet 1.0 Server which predicts

the addition of acetyl moiety by N-acetyltransferase A [193]. Tyrosine sulfation sites were

predicted by the Sulfinator which uses four different models to recognize sulfated tyrosine residues

located in the N- and C- terminals [194]. Myristoylation was predicted using Myristoylator which

looks for sequences that accept the addition of a myristate to a N-terminal glycine [195].

Prenylation was predicted using PrePS which determines protein farnesylation (15 carbon

polyisopren) as carried out by farnesyltransferases and geranylgeranylation (20 carbon

polyisopren) as carried out by geranylgeranyltransferase 1 and Geranylgeranyltransferase 2. PrePS

recognizes the motifs recognized by prenyltransfeases (the CaaX box and Rab escort protein in the

C-terminal of proteins. Therefore, PrePS recognizes CaaX Farnesylation, CaaX

Geranylgeranylation and Rab Geranylgeranylation [196]. Methylation was predicted using MeMo,

the methylation Modification Prediction Server 2.0 which predicts methylation on lysine and

arginine residues [197].

19

Shared computational characteristics among OC protein biomarkers

All these OC biomarkers have limited diagnostic usefulness. While none are effective at

detecting all OCs, these OC biomarkers may contribute to malignant transformation and/or disease

progression in OC. Therefore, in order to better understand the molecular mechanisms involved in

OC it would be useful to identify other proteins that may also contribute to OC based on similar

biochemical protein characteristics. Therefore, to identify common biochemical features among

the 27 OC biomarkers derived from literature review, computational analyses for measurements

of protein order, hydropathy, posttranslational modifications, aggregation prone regions and

subcellular localization were performed (Table 1.2). As outlined below, computational analyses

indicated that these reported 27 OC protein biomarkers share characteristics of secreted (presence

of export signal sequence, hydrophilic) and stable (ordered, aggregation prone, glycosylated,

sumoylated) proteins.

Characteristics of secreted proteins - (presence of export signal sequence, hydrophilic)

The majority (22/27) of OC biomarkers examined (ApoE, COL1A1, COL11A1, FOLR1,

IL-6, IL-8, IL-10, KLK10, KLK11, MMP2, MMP9, MSLN, MUC1, MUC4, MUC16, PRL,

PRSS8, SERPINE1, SPP1, TGF-β1, VEGF, WFDC2) are secreted proteins based on the presence

of an export signal sequence while 5/27 (CLDN3, CLDN4, FASN, TNF-α) and only 1/27 (STIP1)

were predicted to be localized at cell membranes or within the cytoplasm, respectively.

Likewise, the vast majority (24/27) of these OC biomarkers (ApoE, COL1A1, CLDN3,

CLDN4, FASN, FOLR1, IL-6, IL-8, IL-10, KLK10, KLK11, MMP2, MMP9, MSLN, MUC1,

MUC4, MUC16, PRL, PRSS8, SERPINE1, TNF-α, TGF-β1, VEGF, WFDC2) were determined

to be hydrophilic in keeping with a secretory protein profile or function within hydrophilic

cytoplasmic environments. Similarly, almost half, 11/27, (COL11A1, IL-10, MUC1, MUC4,

20

MUC16, MMP2, SPP1, STIP1, TGF-β1, TNF-α, VEGF) of the OC biomarkers were predicted to

be sulfated. Sulfation, the enzyme-catalyzed conjugation of a sulfo group, often to tyrosine

residues, is required by many secreted proteins that traverse the Golgi apparatus for export [198].

Consequently, it is not unexpected that many of the OC biomarkers should be sulfated.

In contrast, only 8/27 (ACTH, ALB, COL1A1, COL11A1, FASN, IL-10, MMP9, TGF-β1)

were predicted to be methylated. Since methylation increases protein hydrophobicity [199–201]

and the vast majority of OC biomarkers are hydrophilic, it is not surprising that few are predicted

to be methylated. In addition, only 4/27 biomarkers (ApoE, COL1A1, FASN, STIP1) were

predicted to be succinylated. While protein succinylation at lysine residues plays a significant role

in protein structure, folding and function due to the addition of a large structural moiety,

succinylation also typically changes protein charge from +1 to −1 [202]. Since secreted proteins

contain a positively charged amino terminal necessary for the export process, low levels of OC

biomarker succinylation (4/27) are consistent with characteristics of secreted proteins [203].

Lastly, only 3/27 (CLDN3, CLDN4, PRL) are predicted to be palmitoylated and none of the

OC biomarkers are predicted to be myristoylated or prenylated. Since palmitoylation,

myristoylation and prenylation anchor proteins to the membrane with potential for increased

interaction with the endoplasmic reticulum [204], the few OC biomarkers predicted to undergo

these posttranslational modifications suggests that they mostly operate without membrane

anchorage.

Characteristics of stable proteins - (ordered, aggregation prone, glycosylated, sumoylated)

In addition to a secretory protein profile, the majority (19/27) of reported OC biomarkers

(CLDN3, CLDN4, FASN, FOLR1, IL-6, IL-8, IL-10, KLK10, KLK11, MMP2, MMP9, MSLN,

PRL, PRSS8, SERPINE1, TNF-α, TGF-β1, VEGF, WFDC2) were determined to be ordered

21

proteins with over 65% ordered content. Since highly ordered proteins have stable secondary

and/or tertiary structures with low physical binding potential to other proteins, these OC

biomarkers are unlikely to form larger multi-protein complexes [205]. Interestingly, 17/27

(CLDN3, CLDN4, FOLR1, IL-6, IL-8, IL-10, KLK10, KLK11, MMP2, MMP9, PRL, PRSS8,

SERPINE1, TGF-β1, TNF-α, VEGF, WFDC2) of the OC biomarkers contain amino acid

sequences of which, greater than 30% are considered aggregation prone regions (APR). APRs are

more likely to represent conserved regions and occur in ordered regions within close structural

proximity to catalytic residues and have, therefore, been theorized to stabilize proteins and

contribute to protein function [206].

With regards to possible post-translational modifications in support of stable protein structures,

most (23/27) of the OC biomarkers studied (ApoE, COL1A1, COL11A1, CLDN3, FOLR1, IL-

10, KLK10, KLK11, MMP2, MMP9, MSLN, MUC1, MUC4, MUC16, PRL, PRSS8, SERPINE1,

SPP1, STIP1, TNF-α, TGF-β1, VEGF, WFDC2) are predicted to be glycosylated. Glycosylation

can increase protein stability and modify protein function by increasing thermal stability that

destabilizes the unfolded state of proteins [207], thereby playing a role in many cellular functions

including intercellular communication, adhesion and migration, all of which are important in

cancer progression. Consequently, in addition to an ordered and aggregation prone protein

structure imparting a stable protein confirmation, additional protein stability would be conferred

by glycosylation.

Many of the OC biomarkers (20/27) (ApoE, COL1A1, COL11A1, CLDN3, CLDN4, IL-6,

KLK10, KLK11, MMP2, MMP9, MSLN, MUC1, MUC4, MUC16, SERPINE1, SPP1, STIP1,

TNF-α, TGF-β1, VEGF) are predicted to be phosphorylated. Phosphorylation can alter protein

activity, stability, function by changing serine, threonine or tyrosine residues from 0 to −2 [202]

22

as well as protein interactions [208] by activating intracellular signaling cascades [209].

Phosphorylation is predicted to be a common posttranslational modification in OC biomarkers

because it affects many oncogenic processes, including transcriptional regulation, proliferation and

kinase signaling [210].

Further, the vast majority (22/27) of OC biomarkers (ApoE, COL1A1, COL11A1,CLDN3,

CLDN4, FASN, FOLR1, IL-10, KLK11, MMP2, MMP9, MSLN, MUC4, MUC16, PRL, PRSS8,

SERPINE1, STIP1, TNF-α, TGF-β1, VEGF, WFDC2) are also predicted to be sumoylated.

Sumoylation is a posttranslational modification resulting from the conjugation of Small Ubiquitin-

related MOdifiers (SUMO) to proteins; sumoylated proteins appear to take a part in transcription

[211,212], apoptosis [213], and signal transduction [214]. While the mechanisms that regulate

sumoylation are not well understood, conjugation of SUMO to proteins can alter protein

configuration potentially leading to new protein-protein interactions, inhibition of existing protein-

protein interactions and/or changes to existing protein functions and activity [215], thereby

enhancing functional diversity. In this way, sumoylation can increase protein stability by

promoting the formation of multimeric protein complexes as well as by inhibition of ubiquitination

[216].

In contrast, only 12/27 (ApoE, CLDN3, CLDN4, COL1A1, COL11A1, FASN, MMP9,

MUC1, MUC4, MUC16, STIP1, VEGF) of OC biomarkers were predicted to be acetylated. While

certain forms of protein acetylation can increase protein stability by reducing protein degradation

[217], the principal function of acetylation involves regulation of gene expression. Since the group

of OC biomarkers examined do not typically include transcriptional proteins, it is not surprising

that few might be acetylated. Likewise, only 10/27 (ApoE, CLDN3, CLDN4, COL11A1, FASN,

IL-6, KLK11, PRL, STIP1, TGF-β1) of OC biomarkers were predicted to be ubiquitinated.

23

Ubiquitination marks proteins for degradation. Ordered proteins have fewer ubiquitination and

microRNA targeting sites, and lower mRNA decay rates. Therefore, ordered proteins can persist

within cells at higher levels for longer periods before facing decay [218]. This is consistent with

the prediction that most biomarkers (17/27) are not ubiquitinated.

As might be expected for disease biomarkers, computational biochemical analyses indicated

that the set of published OC protein biomarkers share characteristics of secreted (export signal

sequence, high hydrophilic, low hydrophobicity, low palmitoylation, myristoylation and

prenylation) and stable (ordered, aggregation prone, sumoylated, glycosylated, but not acetylated

or ubiquinated) proteins. However, given the functional diversity of these biomarkers as indicated

above, String [219] analysis was also performed to identify a network of functional interactions

among these established OC biomarkers (Figure 1.1). Interestingly, interactions among these

diverse biomarkers appear functionally related to: ECM/microenvironment modifications (CLDN-

3, CLDN-4, COL1A1, COL11A1, KLK10, KLK11, MMP2, MMP9, MUC1, MUC4, MUC16,

SERPINE1, SPP1); regulation/modulation of the immune response (IL-6, IL-8, IL-10, TNFα) and;

energy production (ApoE, FASN). Since the ECM/ tumor microenvironment encompasses many

components, including stromal cells, ECM components (cytokines, MMPs, integrins, etc.) and

exosomes, it plays an important role in OC dissemination and metastasis through a variety of

mechanisms that include the activation of signaling pathways (AKT and FAK) that induce invasion

and metastasis, the initiation of EMT changes, and the release of proteases and angiogenic factors

that remodel ECM and stimulate microvessel formation [220]. While the immune response

recognizes and eliminates tumor cells, in malignant states, immunosuppression and

immunoediting often prevail leading to unhindered tumor growth. Though increased tumor-

infiltrating leukocyte expression is associated with improved survival, OC is associated with an

24

immunosuppressive environment. Therefore, future therapies might aim to reverse

immunosuppression and modulate the immune response to combat OC [221]. Lastly, besides

endogenous energy production, OC cells induce stromal fibroblasts to secrete energy metabolites

lactate and pyruvate that are then shuttled into the tricarboxylic acid (TCA) cycle in OC cell

mitochondria. This shuttling promotes increased energy production contributing to accelerated

tumor growth and angiogenesis [222].

Identifying additional key regulators of OC

The best OC biomarker in clinical use today is CA-125 which has a number of limitations

including expression in less than 50% of stage I disease and expression that is rarely elevated in

mucinous, endometrioid or clear-cell carcinomas. CA-125 is elevated in advanced-stage OC and

in some benign and malignant conditions and is dependent on additional factors including age,

history of hysterectomy and weight. Though many potential OC biomarkers have been identified

in the literature (see above), none have overcome CA-125’s clinical limitations [26]. However, the

potential biomarkers reported in literature highlight different biological pathways of ovarian

tumorigenesis that could increase our understanding of the etiology of OC. Many of the OC

biomarkers identified so far fall loosely within three functional groups - immune response,

ECM/microenvironment modifications, energy production and metabolism. Therefore, these

protein regulators of OC may be relevant for elucidating mechanisms and pathways of disease

initiation and progression.

25

Figure 1.1. OC biomarkers have functional interactions. Analysis of the interactivity of published

OC biomarkers by String produced a network of predicted associations for these proteins. The

network nodes are proteins, whereas the edges represent the predicted or known functional

associations. An edge may be drawn with up to 7 differently colored lines that represent the

existence of the seven types of evidence used in predicting the associations. A red line indicates

the presence of fusion evidence; a green line - neighborhood evidence; a blue line – co-occurrence

evidence; a purple line - experimental evidence; a yellow line – text mining evidence; a light blue

line - database evidence; a black line – co-expression evidence.

26

Figure 1.2. Summarial schematic identifying additional protein regulators of OC. Proteins

(70,616) of the human proteome were subjected to sequential computational analysis to

identify proteins (21) that are secreted, ordered and aggregation-prone and which interact

with previously reported OC biomarkers (27).

70,616 non-redundant proteins

8,059 proteins have signal peptide

1,848 proteins have signal peptides and are secreted

1,578 proteins have signal pepties, are secreted and ordered

758 secreted proteins with signal peptides, are ordered and have

aggregation-prone regions

Literature review of monomer OC

biomarkers with more than 100

publications in PubMed and proteins

explored by PLCO screening trial

and/or the NACB

Secreted proteins with export signal

peptide sequences that are ordered,

hydrophilic, and have aggregation-

prone sequences

21 proteins that

interact with literature

biomarkers

27 literature

derived

proteins

683

computational

derived

proteins

27

Consequently, expanding upon the characteristics of stable and secreted OC biomarkers

noted above (ordered, aggregation-prone, hydrophilic, export signal peptide sequence and secreted

proteins) potentially involved in immune response, ECM/microenvironment modifications, and

energy production and metabolism, I explored the human proteome to identify additional protein

regulators of OC (Figure 1.2). According to the Uniprot Database, the human proteome contains

70,616 non-redundant proteins, of which 8,059 proteins contain an export signal peptide and of

which 1,848 proteins are secreted. Of these 1,848 proteins 1,578 proteins are ordered and 758 of

the non-redundant proteins have aggregation-prone regions that cover 30% of their total amino

acid composition. Of these proteins, 75 proteins are putative or uncharacterized proteins of

unknown function and, therefore, were removed from the proposed list of proteins to identify 683

proteins as potential protein regulators of OC (Appendix I). Interestingly, of those 683 proteins,

243 proteins are functionally related to the regulation/modulation of the immune response, 235

proteins functionally related to ECM/microenvironment modifications, 120 proteins functionally

related to energy production and metabolism and 86 proteins of unknown function. Subsequent

String analysis demonstrated possible interactions between 27 of the functionally known literature-

based OC biomarkers and 21/683 putative biomarkers (Figure 1.3, Table 1.3) including three

isozymes of amylase, a secreted and stable protein involved in carbohydrate metabolism.

28

Table 1.3: Proteins that interact with literature reported ovarian cancer biomarkers

Protein Protein name Function in cancer

CXCL12

Stromal cell-derived factor 1 (SDF-1) (hSDF-1) (C-X-

C motif chemokine 12) (Intercrine reduced in

hepatomas) (IRH) (hIRH) (Pre-B cell growth-

stimulating factor) (PBSF) [Cleaved into: SDF-1-

beta(3-72); SDF-1-alpha(3-67)]

Tumor growth,

angiogenesis,

immune functions,

inflammation,

invasion [26]

IL2 Interleukin-2 (IL-2) (T-cell growth factor) (TCGF)

(Aldesleukin)

Immune response

[223]

GHR Growth hormone receptor (GH receptor)

(Somatotropin receptor) [Cleaved into: Growth

hormone-binding protein (GH-binding protein)

(GHBP) (Serum-binding protein)]

Tumor growth and

metastasis [224]

IFNG Interferon gamma (IFN-gamma) (Immune interferon) Immune functions,

Inflammation [225]

VWF Von Willebrand Factor Angiogenesis [54]

KDR Kinase Insert Domain Receptor/ Vascular endothelial

growth factor receptor 2

Angiogenesis [54]

PLAT Tissue-type plasminogen activator (t-PA) (t-

plasminogen activator) (tPA) (EC 3.4.21.68)

(Alteplase) (Reteplase) [Cleaved into: Tissue-type

plasminogen activator chain A; Tissue-type

plasminogen activator chain B]

Tumor invasion [155]

PLAU Urokinase-type plasminogen activator (U-

plasminogen activator) (uPA) (EC 3.4.21.73) [Cleaved

into: Urokinase-type plasminogen activator long chain

A; Urokinase-type plasminogen activator short chain

A; Urokinase-type plasminogen activator chain B]

Tumor invasion [155]

HPR Heparanase (EC 3.2.1.166) (Endo-glucoronidase)

(Heparanase-1) (Hpa1) [Cleaved into: Heparanase 8

kDa subunit; Heparanase 50 kDa subunit]

Tumor proliferation

and metastasis [226]

TSLP Thymic stromal lymphopoietin Inflammation [227]

CRLF2 Cytokine receptor-like factor 2 (Cytokine receptor-like

2) (IL-XR) (Thymic stromal lymphopoietin protein

receptor) (TSLP receptor)

Inflammation [227]

AMY1A Alpha-amylase 1 (EC 3.2.1.1) (1,4-alpha-D-glucan

glucanohydrolase 1) (Salivary alpha-amylase)

Cleaves alpha 1, 4-

glycosidic bonds in

polysaccharides; role

in cancer unknown

[228]

AMY2A Pancreatic alpha-amylase (PA) (EC 3.2.1.1) (1,4-

alpha-D-glucan glucanohydrolase)

Cleaves alpha 1, 4-

glycosidic bonds in


29

in cancer unknown

[228]

AMY2B Alpha-amylase 2B (EC 3.2.1.1) (1,4-alpha-D-glucan

glucanohydrolase 2B) (Carcinoid alpha-amylase)

Cleaves alpha 1, 4-

glycosidic bonds in


in cancer unknown

[228]

TIMP1 Metalloproteinase inhibitor 1 (Erythroid-potentiating

activity) (EPA) (Fibroblast collagenase inhibitor)

(Collagenase inhibitor) (Tissue inhibitor of

metalloproteinases 1) (TIMP-1)

Invasion/metastases

[26]

TIMP3 Metalloproteinase inhibitor 2 (CSC-21K) (Tissue

inhibitor of metalloproteinases 2) (TIMP-2)

Invasion/metastases

[26]

LPL Lipoprotein lipase (LPL) (EC 3.1.1.34) Lipid metabolism,

inflammation [229]

APOB Apolipoprotein B (Including Ag(X) Antigen) Tumor growth [26]

APOA2 Apolipoprotein A-II (Apo-AII) (ApoA-II)

(Apolipoprotein A2) [Cleaved into: Proapolipoprotein

A-II (ProapoA-II); Truncated apolipoprotein A-II

(Apolipoprotein A-II(1-76))]

Tumor growth [26]

INS Insulin [Cleaved into: Insulin B chain; Insulin A

chain]

Tumor growth,

transformation [26]

LY6G5C Lymphocyte antigen 6 complex locus protein G5c Unknown

30

Figure 1.3. Identification of proteins that interact with literature-derived OC biomarkers. The 27

literature OC biomarkers interact with 21 proteins from the human proteome with similar structural

and functional characteristics, including the amylase isozymes AMY-1A, -2A, and -2B. Analysis

of the interactivity of published OC biomarkers by String produced a network of predicted

associations for these proteins. The network nodes are proteins, whereas the edges represent the

predicted or known functional associations. An edge may be drawn with up to 7 differently colored

lines that represent the existence of the seven types of evidence used in predicting the associations.

A red line indicates the presence of fusion evidence; a green line - neighborhood evidence; a blue

line – co-occurrence evidence; a purple line - experimental evidence; a yellow line – text mining

evidence; a light blue line - database evidence; a black line – co-expression evidence.

31

Rationale

Given the overall poor survival associated with OC, it is imperative to identify and

delineate the role of novel protein regulators of OC in order to understand their role OC progression

and which could also one day serve as potential targets for therapeutic intervention. While

comprising a diverse group of functional proteins, OC biomarkers share several features including

a preponderance for a stable protein structure (ordered, hydrophilic, aggregation-prone,

glycosylated and sumoylated), the ability to be secreted (export signal peptide sequence,

hydrophilic) and functionality related to ECM modification, immune response and/or energy

production. Interestingly, several amylase isozymes are noted among the potential OC protein

biomarkers of interest identified for further investigation (Figure 3, Table 3). Elevated serum levels

of amylase or hyperamylasemia, has been long associated with OC and has been studied as both a

diagnostic and prognostic indicator even though its functional contribution to OC progression

remains unknown. Amylase is also interesting because it can potentially play multiple roles in OC,

including cleaving alpha 1, 4-glycosidic bonds in polysaccharides to initiate carbohydrate

metabolism, thereby contributing to energy production. Amylase may also play a role in ECM

remodeling by cleaving polysaccharide moieties in the tumor microenvironment; amylase has

already been shown to degrade bacterial biofilm in wounds [228]. It has also been proposed that

amylase is released as part of an immune response due to inflammatory microenvironment induced

by OC [230].

Central Hypothesis

The objective of this study is to determine the function of amylase in OC. My central

hypothesis is that increased amylase expression and secretion alters ECM structure and

32

composition to enhance OC cell invasion. This study also proposes that Spirulina is a novel

transcriptional inhibitor of amylase which can decrease OC invasion. Three aims are proposed.

Aim 1: Characterize and predict which amylase isozyme(s) is overexpressed in OC.

Currently, it is unclear which amylase isozyme is overexpressed in OC. Computational

analyses will be performed on the amylase isozyme (AMY1A, -1B, -1C, -2A, and -2B) sequences

to determine the characteristics of each isozyme and predict which isozyme is most likely

overexpressed in OC. Predicted overexpression of specific amylase isozymes will be validated in

serum samples from healthy controls and patients with OC.

Aim 2: Determine the extracellular function of amylase in OC.

In order to begin to understand the role of amylase for OC progression, an in vitro model

system of OC cell lines that overexpress and secrete amylase will be established, then utilized to

show that by remodeling ECM, amylase may contribute to OC cell invasion.

Aim 3: Transcriptionally inhibit amylase expression using a novel agent.

Since hyperamylasemia is associated with poor clinical outcome in cancer [231], amylase may

represent a novel target for therapeutic intervention. Commercially available amylase inhibitors

typically inhibit amylase at the protein level. I propose to employ Spirulina, a dietary supplement,

as a novel transcriptional inhibitor of amylase. Subsequently, the ability of Spirulina to inhibit OC

cell migration and invasion will be determined.

33

Defining the function of amylase in OC will fill a much needed gap about the etiology of OC.

Further, these studies will establish a novel transcriptional inhibitor of amylase that may lead to

more effective treatment options for OC patients with hyperamylasemia.

34

Chapter 2

Computational Analysis of Amylase Isozymes Contributing to Ovarian Cancer

Introduction

Glucose metabolism is the fundamental biochemical reaction providing energy to cells.

Whether by oxidative phosphorylation or glycolysis [232], glucose consumption is typically

greater in cancer cells than their normal counterparts [233,234]. Alpha-amylase (commonly

referred to as amylase) was first characterized as a starch digesting enzyme in 1913 [235]. There

are three main classes of amylase (α, β and γ) that differ in their structure, mechanism of action

and phylogenetic location; α-amylase is found in animals, plants, fungi, and bacteria, β-amylase is

found in plant seeds and γ-amylase is found in yeast and fungi [236]. Amylase cleaves alpha 1, 4-

glycosidic bonds in polysaccharides to initiate carbohydrate metabolism. Consequently, since α-

amylase is restricted to mammalian cells and since starch is the major source of dietary glucose,

changes in the levels of α-amylase could influence cancer cell survival.

History of the amylase genes

In 1988, cloned amylase genes examined by Southern blot indicated there are three distinct

copies of the amylase genes in the human genome (AMY1, amy2 and amy3 ) whereas previously,

it was thought there is only salivary AMY1 and pancreatic AMY2 [237,238]. In 1989, amy2 and

amy3 were dubbed AMY2A and AMY2B, respectively. Previously, amy3 was mostly associated

35

with carcinoid tissue because it was isolated from lung cancer tissue [239]. The AMY2B amylase

gene was cloned and characterized; it was found to consist of ten exons that are highly homologous

to the ten exons that make up AMY1 and AMY2A (amy2). The introns of AMY1, AMY2A, and

AMY2B were also reported to be highly homologous. However, it was found that AMY2B has

two unique untranslated regions in the 5’ region, placing the promoter of the AMY2B gene farther

upstream than the promoters of AMY1 and AMY2A [240]. A later report found AMY1 consists

of 11 exons [241].

Evolution and expression of amylase genes

Amylase consists of a family of isozymes derived from a single ancestral gene. The

evolution of amylase genes started 43 million years ago with the insertion of a γ-actin pseudogene

before the primordial amylase gene constituting the ancestral amylase gene (Figure. 2.1A). The

ancestral gene underwent duplication. One copy of the ancestral amylase genes has maintained its

structural integrity to date and is referred to as AMY-2B (Figure. 2.1A). However, approximately

39 million years ago, a retroviral insertion interrupted the actin pseudogene of the other copy of

the ancestral gene and is dubbed the ‘retroviral’ amylase gene. The ‘retroviral’ amylase gene then

underwent further duplication. One copy of the ‘retroviral’ amylase gene underwent long terminal

repeat (LTR) recombination to become AMY-2A. Approximately a million years ago, the other

‘retroviral’ amylase gene triplicated to become AMY-1A, -1B, and -1C. Consequently,

evolutionary diversification has resulted in five amylase genes (AMY-1A, -1B, -1C, AMY-2A, -

2B) clustered on the short arm of chromosome one at p21 (Figure 2.1B). These genes are

characterized by three distinct gene flanking regions including a retroviral insertion (AMY1A,

36

AMY1B, and AMY1C), a 3/5’LTR recombination (AMY2A) and an actin pseudogene (AMY2B)

(Figure 2.1C) [242].

Figure 2.1. Schematic of mammalian amylase gene distinction. (A) The five amylase genes

evolved from a single primordial gene. Adapted from [244]. (B) Current amylase genes are

clustered on chromosome 1.p21. Figure adapted from [242]. (C) Evolution of amylase resulted

in three distinct regions flanking the amylase genes characterized by a retroviral insertion

(AMY1A, AMY1B, and AMY1C), a 3/5’LTR recombination (AMY2A) and an actin

pseudogene (AMY2B). Figure adapted from [244].

A

B

C

37

The retroviral insertion is thought to have resulted in amylase tissue specificity.

Historically, AMY-1A, AMY-1B, and AMY-1C were thought to encode salivary amylase,

whereas AMY2A and AMY2B encoded pancreatic amylase [243]. However, recently, AMY-2B

protein has been found endogenously in many normal tissues because it does not have tissue

specificity established by the retroviral insertion [243,244]. There are also reports of AMY2B

protein expression in normal tissue such as the liver, gonads, fallopian tubes, ovary, leukocytes

and intestinal tract. There has been evidence that AMY2B’s expression in different tissues is

regulated by unique promoters. The AMY2B’s pancreatic start site differs from its hepatic start

site [243]. AMY1 expression was thought to be exclusively found in salivary glands, however,

AMY1 expression has been reported in two cases of normal thyroid gland tissue, two cases of

cervix tissue, and one case of fallopian tube tissue. A case of normal ovary tissue presented with

AMY1 expression, but a second case of ovarian tissue did not present with AMY1 expression

[245,246]. Both AMY2B and AMY1 expression have been isolated in normal lung tissue [246].

Total amylase levels in the serum of normal healthy human adults are elevated with age; amylase

levels are elevated in women in their 30s and 40s [247].

Amylase gene regulation

The promoter of AMY-2B, the ancestral amylase gene, has not yet been identified. It is

hypothesized that the retroviral insertion either activates a hidden promoter within the actin

pseudogene or acts as an enhancer that drives the endogenous promoter of AMY-2B. Regardless,

the retroviral insertion plays an important regulatory role in the transcription of amylase [248,249].

No work has been done on the regulation of AMY2A and the promoter of AMY2A has not been

validated experimentally.

38

In contrast, it has been assumed that the promoters for AMY-1A, -1B, and -1C reside in the

region flanking these genes. Studies targeting the flanking regions of AMY-1C indicate that AMY-

1C can be activated by integrin and/or growth factor stimulation [248]. Integrin activation leads to

stimulation of downstream signaling cascades and an increase in intracellular calcium levels that

leads to increased amylase expression. Transforming growth factor (TGF)-α activation triggers

phosphatidylinositol phospholipase C (PLC), inositol triphosphate (IP3) and increases intracellular

calcium levels. Downstream protein kinase C (PKC) and ERK1/2 phosphorylation activate the

amylase 1C promoter [249,250]. Both pathways result in increased amylase 1C expression

indicating that the region flanking the amylase gene may play a role in the regulation of amylase

1C expression.

It has been reported that the amylase genes contain general transcriptional enhancer (GRE)

regions in their promoters that respond to glucocorticoid binding. There are two GRE regions in

the promoters of the pancreatic amylase genes and five GRE regions in the promoter of the salivary

amylase genes [238]. The LTRs inserted in the promoters of the salivary AMY1 and AMY2A

genes contain transcriptional control elements including a TATA box, a CCAAT box, a

polyadenylation signal, and GREs [244].

Differentiating amylase isozymes

The amylase enzymes are predominately secreted by the pancreas and salivary glands [251].

Amylase isozymes have been differentiated by digestion of the fluorogenic substrate, FG5P, by

salivary (AMY-1A, -1B, or -1C), pancreatic (AMY-2A) and AMY-2B amylases into FG3 and p-

nitrophenyl α-maltoside or FG4 and p-nitrophenyl α-glucoside. The FG4/FG3 ratios are 1.88 for

AMY2B, 1.08 for AMY-2A and 0.52 AMY-1A, -1B, or -1C [252].

39

Amylase isozymes can also be distinguished by differences in isoelectric points (pI) and

molecular weight. Experimentally, salivary amylase (AMY1A, AMY1B, and AMY1C) has a pI at

6.36 and 6.65 and pancreatic amylase has a pI at 7.4 [253]. On western blots, ovarian tumor

amylase and salivary amylase have a similar migratory pattern and appear as a doublet of

approximately 57 and 60 kDa. The doublet formation is believed to be due to posttranslational

modifications including glycosylation and deamination. In contrast, the pancreatic amylase

isoenzyme migrates as a single band at 55 kDa [253].

Known amylase characteristics

It has been reported that the amylase genes are located on the short arm of chromosome 1 and

amylase proteins have an average molecular weight of 56 kDa [254]. There is also high homology

among the amylase genes. The three AMY1 are more than 99.9% homologous. AMY1 is 93.2%

homologous to AMY2A and 93.6% homologous to AMY2B. AMY2A and AMY2B are 94%

homologous [255]. The 3D structures of the pancreatic [256] and salivary [257] α-amylase were

obtained by X-ray crystallography. The resulting tertiary structures of the salivary and pancreatic

amylase were revealed to be very similar. However, in these studies it was not indicated which

pancreatic amylase (AMY2A or AMY2B) was used to elucidate the tertiary structure. Further,

while calcium (Asn100, Arg158, Asp167, and His201) and chloride ion (Arg195, Asn298,

Arg337) binding sites of the pancreatic amylase protein have been elucidated, all amylase

isozymes have three similar domains: Domain A (residues 1-99, 469-404), Domain B (residues

100-168), and Domain C (residues 405-496) with active sites at residues Asp197, Glu233, and

Asp300.

40

A trans-species comparison of human pancreatic amylase, porcine amylase, Aspergillus oryzae

“Taka” (fungus) amylase and Aspergillus niger (fungus) amylase revealed very little primary

sequence homology among these amylases. Yet, strong homology across species in residues 96-

101, 201, 233-236, and 294-301 confers structural homology of amylases derived from different

animal species [256]. Likewise, amylase isozymes exhibit similar enzyme activity and degrees of

inhibition [253]. Amylase from Aspergillus oryzae has been reported to have a single N-

glycosylation site at Asn 197 [258,259].

In rats, amylase activity is affected significantly by the sex cycle; the change in amylase

expression is not correlated to calcium levels in the ovary, but to sex hormones acting on the ovary.

Both salivary and pancreatic amylases were isolated in rat ovary, but only salivary amylase was

isolated in rat serum [260].

Amylase in cancer

Amylase is overexpressed in and secreted by a number of tumors [261] including ovarian

tumors [262]. However, it remains controversial as to which amylase gene encodes amylase

isoenzymes secreted by tumors. Some suggest that amylase secreted by tumors is encoded by

AMY-2B [237,245,263–265], while others consider salivary AMY-1A, -1B, or -1C [240,246,266–

271] as the source of tumor amylases. A unique amylase isoenzyme secreted by tumors has also

been suggested [253,272–274]. Further, it is unknown whether several amylase isozymes or a

single isoform is secreted by tumors. As a result, disagreement and mischaracterization of tumor

amylase isozyme expression is common [253,271].

41

Objectives

Hyperamylasemia is associated with disease progression although its contribution to OC is

unclear [1]. Although functionally similar, differential expression of amylase isozymes in OC may

be clinically significant for diagnostic and/or prognostic outcome. Since there is a controversy as

to which amylase isozyme(s) is overexpressed in OC, in this chapter I sought to characterize and

predict which amylase isozyme is overexpressed in OC using computational analyses (evolution,

disorder, hydrophobicity, aggregation, structure, structural features, possible binding partners,

mutation profile, and promoter transcription factors) of human amylase isozymes AMY-1A, -1B,

-1C, -2A, and -2B. Lastly, I sought to validate my prediction in clinical serum samples.

Materials and methods

Sequences used in computational characterization

Computational amylase analyses were performed using the human AMY-1A (NCBI Reference

Sequence: NP_001008222.1); AMY-1B (NCBI Reference Sequence: NP_001008219.1); AMY-

1C (NCBI Reference sequence: NP_001008220.1); AMY-2A (NCBI Reference Sequence:

NP_000690.10) and AMY-2B (NCBI Reference Sequence: NP_066188.1) protein sequences.

Amylase isozyme homology

ClustalW2 is a program used to align multiple DNA and protein sequences using pairwise

sequence alignment tools; ClustalW2 [275–277] was used to determine the percentage of

homology between amylase protein sequences.

Protein biochemical properties databases

ProtParam [278] was used to define the molecular weight, theoretical pI, instability index

(distinctive dipeptides that confer instability to a protein), and GRAVY (grand average of

hydropathy—the sum of hydropathy values of the entire protein, divided by the number of residues

http://web.expasy.org/protparam

42

in the sequence). Uniprot [187] was used to determine regions of protein instability, signal

localization, and binding sites. The information gathered from Uniprot jointly with SignalP 4.1

and SBASE was also used to construct a general structure depicting the common features shared

by the amylase isozymes.

SignalP 4.1 [279] was used to predict the presence and the cleavage site of a possible signal

transport sequence. The protein sequences were run in SBASE [280] to determine which domains

are in each amylase isozyme. Domains were confirmed with pfam [281,282], a large collection of

the protein families.

Protein disorder

The distribution of intrinsic amylase protein disorder was analyzed using disorder

predictors PONDR® VLXT [183] and PONDR® VSL2 [184,185] which identify regions of protein

disorder and hydropathy. PONDR® VLXT is capable of identifying potential molecular

interactions motifs in disordered proteins and disordered protein regions [184] while PONDR®

VSL2 more accurately predicts general protein disorder.

Secondary structure prediction

CSSP (Consensus Secondary Structure Prediction)[283] was used to predict the consensus

secondary structure of the amylase isozymes. I-TASSER was used to predict the tertiary structure

of the amylase isozymes [284–287]. Amylpred 2 [186] was used to identify protein sequences

prone to form protein aggregates.

Potential protein binding sites within amylase isozyme proteins were identified by the

ANCHOR algorithm [288,289] which determines protein binding motifs within regions of

disordered proteins. String [219] analysis was performed to identify potential amylase isozyme

binding partners by depicting a network of proteins that physically and/or functionally interact

43

with amylase. RaptorX-binding [290] analysis was performed to determine ligands that potentially

bind to the amylase isozymes.

Posttranslational modification

HMMpTM [291] was used to predict phosphorylation and glycosylation sites in the

amylase isozymes. Disorder Enhanced Phosphorylation Predictor (DEPP) is a PONDR

phosphorylation predictor that determines possible phosphorylated amino acid residues through

patterns of disorder, hydrophobicity and charge. Sumoylation was predicted by SUMOplot

Analysis Program.

Transcription regulation by promoter analysis

The promoters of the amylase isozymes have not been previously validated by

experimentation. The suspected amylase promoters used were the -600 base pairs flanking the 5'

transcription start site as retrieved from Ensembl genome browser [292]. The promoter regions of

all five amylase isozymes were examined by the Promo database [293,294] to find possible

transcription factor binding sites that could regulate amylase expression. To find other regulatory

regions in the promoter, the Eukaryotic Promoter Database (EPD) [295] was utilized to find the

promoter of the amylase isozymes and then find the TATA box, the GC box and the CCAAT box

sequences within the promoter sequence to better distinguish the core promoter elements.

Mutational analysis of the amylase isozymes

The mutation profiles of AMY-1A, AMY-2A, and AMY-2B were found on cBioPortal

[296,297] for Cancer Genomics, a large scale cancer genomics database that determines the

individual mutations in genes as well as the prevalence of mutations in cancer.

44

Clinical Specimens

With prior University of South Florida Institutional Review Board committee approval

serum samples were collected at the H. Lee Moffitt Cancer Center and at the University of South

Florida. A total of 30 de-identified serum samples were collected from women with benign

gynecologic disease (N = 8) as well as from patients with serous OC (N = 8), endometrial cancer

(N = 5), mucinous OC (N = 5), thecoma (N = 1), teratoma (N=1), ovarian anaplastic metastatic

carcinoma (N =1) and clear cell OC (N = 1). Pooled serum (N = 4) from healthy individuals was

obtained from Valley Biomedical Cat. HS1021, Lot. 7A0032 and Lot. 6K2146 (Winchester, VA)

and Atlanta Biomedical Cat. S40590, Lot. M14161 and Lot. C16037 (Flowery Branch, GA) to be

used as control. All serum samples were kept on ice following collection, centrifuged at 3000 g

for 15 minutes at 4°C and supernatants were then aliquoted and stored at –20°C.

Western blot

Serum samples were diluted in CHAPS buffer and 120ug of serum protein were separated

by a 10% sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE). Proteins were

transferred to Polyvinylidene fluoride (PVDF) membranes, washed in Tween 20-Tris buffered

Saline (TBST), and blocked in 5% milk in TBST. Blots were incubated in their respective primary

antibodies overnight, followed by incubation with a horseradish peroxidase (HRP)-conjugated

secondary antibody (Fisher, Pittsburgh, PA), and developed via FEMTO Cat. 34095 Life

Technologies (Grand Island, NY). Antibodies used were: AMY1A (1:1000) Cat.H00000276-M04

Abnova (Taipei City, Taiwan); AMY2A (1:500) LS-C114393 LSBio (Seattle, WA); AMY2B

(1:2000) Cat. LS-C173958 LSBio (Seattle, WA); Transferrin ab82411 abcam (San Francisco, CA).

Densitometry was performed using ImageJ software to normalize amylase band strength to the

transferrin bands in serum samples.

45

Results:

Amylase isozymes are highly homologous.

Alignment analyses were performed on amylase isozyme protein sequences using

ClustalW2 software. AMY-1A, -1B, and -1C have 100% alignment, whereas they were only 96%

homologous to AMY-2A and 97% homologous to AMY-2B. Amy-2B and AMY-2A are 98%

homologous (Figure 2.2). In short, all the amylase proteins are highly homologous. Henceforth,

AMY-1A, -1B, and -1C are collectively referred to as AMY1.

Amylase isozymes have similar molecular weights and isoelectric points.

While the amylase isozymes contain up to 12 exons (11 exons in AMY1 and 12 exons in

AMY2B), all the amylase isozymes contain 10 coding exons resulting in proteins of 511 amino

acids (Table 2.1). Computational analysis revealed the molecular weight of salivary amylase

(AMY1) and pancreatic amylases (AMY2A and AMY2B) are 57,767.8 Da, 57,706.8 Da and

57,709.8 Da respectively (Table 2.1). Computational pI for AMY1A, AMY2A and AMY2B is

6.47, 6.60 and 6.64, respectively (Table 2.1).

Amylases are highly ordered proteins with one predicted protein binding site.

Protparam predicted that all amylases are stable (ordered) proteins, because they were

beneath the threshold of 40, above of which indicates instability. In mammalian cells, all the

amylase isozymes have an identical half-life of 30 hours in vitro (Table 2.1). PONDR protein

disorder predictor indicated that all amylase isozymes are mostly ordered proteins with small

regions of disorder. While the amylase isozymes have similar regions of disorder, AMY1 and

AMY2B have unique regions of disorder that are not found in AMY2A. AMY1 has two unique

regions of disorder encompassing amino acids 51 through 63 and amino acids 375 through 384;

AMY2B also has two unique regions of disorder encompassing amino acids 51 through 63 and

46

Figure 2.2. Amylase proteins are highly homologous. The protein sequences of the amylase

isozymes were subjected to ClustalW2 for alignment. AMY-1A, -1B, and -1C have 100%

alignment, whereas they were only 96% homologous to AMY-2A. AMY-1A, -1B, and -1C are

97% homologous to AMY-2B. Amy-2B and AMY-2A are 98% homologous. Homologous

amino acids share the same color. Clear amino acids are non-homologous.

47

Table 2.1. Biochemical properties of amylase determined by computational analyses

AMY1—AMY-

1A, AMY-1B,

AMY-1C

AMY-2A AMY-2B Significance

Exons 11 but only 10

coding

10 12 but only

10 coding

All amylase

isozymes have 10

coding exons

Length of α-

amylase (amino

acids)

511 511 511 All amylase

isozymes are the

same length

Theoretical

molecular

weight (Da)

57767.8 57706.8 57709.8 All amylase

isozymes have an

average

computational

molecular weight of

57KDa

Theoretical pI 6.47 6.60 6.64 All amylase

isozymes have an

average

computational

isoelectric point of

6.57.

Instability index 23.58 23.56 25.26 All amylase

isozymes are

ordered

Half-life The estimated half-life is:

>30 hours (mammalian reticulocytes, in

vitro).

>20 hours (yeast, in vivo).

>10 hours (Escherichia coli, in vivo).

All amylase

isozymes are stable

for long periods of

time

Possible protein

binding

(ANCHOR)

aa107-112 aa109-110 aa108-111 All amylase

isozymes have one

possible binding site

GRAVY

(hydrophobicity)

-0.436 -0.396 -0.417 All amylase

isozymes are

hydrophilic

PONDR

hydropathy

0.4516 0.4559 0.4537 All amylase

isozymes are

hydrophilic

48

Figure 2.3. Amylase isozymes are ordered proteins. Amylase isozymes AMY-1A, -1B, -

1C (A), AMY-2A (B) and AMY-2B (C) were subjected to PONDR analyses for protein

disorder. AMY1 has two unique regions of disorder encompassing amino acids 51 through

63 and 375 through 384; AMY2B has two unique regions of disorder encompassing amino

acids 51 through 63 and 117 through 134 (denoted by*).

A

* *

B

C

* *

49

A

C

B

Figure 2.4. Amylase isozymes are hydrophilic. Amylase isozymes AMY-1A, -1B, -1C (A),

AMY-2A (B) and AMY-2B (C) were subjected to PONDR analyses for protein

hydropathy. The amylase isozymes are hydrophilic according to the mean scale

hydropathy. The amylase isozymes also have low absolute mean net charge values

indicating that amylase isozymes are ordered.

50

amino acids 117 through 134 (Figure 2.3; denoted by *).

The ANCHOR program predicted a single potential protein binding site within the ordered

protein regions, unique to each amylase isozyme. AMY1 could potentially bind another protein at

amino acids 108-111; AMY2A at 109-110 and AMY2B at 107-112 (Table 2.1).

Amylase isozymes are hydrophilic.

All amylase isozymes have low negative GRAVY (grand average of hydrophobicity index)

scores: AMY1 is -0.436, AMY2A is -0.396 and AMY2B is -0.417 (Table 2.1) indicating they are

hydrophilic (increasing positive GRAVY values indicate higher hydrophobicity). Likewise,

PONDR predicted hydrophobicity scores of 0.4516 for AMY1, 0.4559 for AMY2A and 0.4537

for AMY2B (Figure 2.4, Table 2.1) suggesting that the amylase isozymes are hydrophilic proteins.

Amylase is predicted to be glycosylated and phosphorylated.

HMMpTM and PONDR Disorder Enhanced Phosphorylation Predictor (DEPP) database

were used to identify potential posttranslational modifications, especially glycosylation and

phosphorylation sites (Table 2.2). According to HMMpTM, the amylase isozymes do not differ

significantly from each other with each isozyme containing 13-15 possible glycosylation and seven

possible phosphorylation sites. DEPP predicted that all amylase isozymes also have two

phosphorylated residues at amino acids 166 and 197. AMY2B appears to have a unique

phosphorylation residue at amino acid 133 (Table 2.2, Figure 2.5). The SUMOplot Analysis

Program predicted that all amylase isozymes were sumoylated at amino acids 2, 50, 275 and 279

(Table 2.2).

51

Table 2.2 – Secondary structural and posttranslational modifications among amylase

isozymes

AMY1—AMY-1A,

AMY-1B, AMY-1C

AMY-2A AMY-2B

Phosphorylation

(DEPP)

166, 197 166, 197 133, 166, 197

Phosphorylation

(HMMpTM)

7; residues 246, 259,

269, 279, 290, 291,

304

7; residues 246, 259,

269, 279, 290, 291,

304

7; residues 246, 259,

269, 279, 290, 291,

304

Glycosylation

(HMMpTM)

14; O-linked: 58,

127, 452, 457, 493

N-linked: 61, 96,

102, 103, 165, 365,

411, 427, 476

13; O-linked: 58,

127, 452, 457, 493

N-linked: 61, 96,

102, 103, 165, 365,

427, 476

15; O-linked: 58, 123,

127, 452, 457, 493

N-linked: 61, 96, 102,

103, 165, 365, 411,

427, 476

Sumoylation

(SUMO plot)

2,50, 275, 279 2,50, 275, 279 2,50, 275, 279

Signal peptide

(SignalP)

Yes; 1-15 Yes; 1-15 Yes; 1-15

Consensus

Secondary

Structure

(CSSP)

Alpha helix: 15.65%

beta strand: 22.30%

Alpha helix: 16.24%

beta strand: 24.07%

Alpha helix: 16.04%

beta strand: 22.11%

Aggregation

prone regions

(Amylpred)

16 aggregation prone

regions


regions


regions

The amylase isozymes have common domains, and structural features.

According to SBASE and pfam, all the amylase isozymes have two main structural domains:

an alpha amylase catalytic domain from amino acids 36 to 351 and a C-terminal all-beta domain

from amino acids 421 to 510 (Figure 2.5). The C-terminal all-beta domain is unique to the glycosyl

hydrolase family members and is important for folding and secretion of amylase [298]. SignalP

analysis predicted a transport signal cleavage site at amino acid 15 in all amylase isozymes (Table

2.2) which is in keeping with secretion of amylase out of the cell [299].

Uniprot determined possible cofactor binding sites in amylase isozymes. All amylase

proteins require calcium and chloride cofactors for enzymatic function [300,301] and have calcium

52

binding sites at amino acids 115, 173, 182, and 216 and chloride binding sites at amino acids 210,

313, and 352. Amino acids 212 and 248 play an essential role in the active site of all amylase

isozymes (Figure 2.5). All amylase isozymes have four disulfide bonds connecting amino acids 43

to 101, amino acids 85 to 130, amino acids 156 to 175, and amino acids 393 to 399. ProtParam

also predicted that amylase requires calcium and chloride as cofactors with calcium and chloride

binding sites at the same residues predicted by Uniprot (Figure 2.5).

Amylase isozymes have unique binding regions for chloride, calcium and glucose.

RaptorX binding analysis suggested that while all the amylase isozymes bind chloride,

calcium, and glucose, individually, they may have additional binding residues for chloride,

calcium and glucose. All amylase isozymes can bind chloride at residues R210, E248, N313, and

R352 (Figure 2.5). However, AMY2A and AMY2B could bind chloride at residue T269 and

AMY2B might additionally bind chloride at residue H216 (Figure 2.5). Likewise, all amylase

isozymes could bind calcium at residues R173 and D182 (Figure 2.5). However, AMY1 can also

bind calcium at residues N115 while AMY2A might bind calcium at residues N115 and H216

(Figure 2.5). All amylase isozymes appear capable of binding glucose at residues W73, W74, Y77,

Q78, H116, L177, L180, R210, D212, A213, H216, E248, I250, H314, D315, and H320 (Figure

2.5). However, AMY2A and AMY2B can also bind glucose at residues T178 and G321 (Figure

2.5). Therefore, AMY2A and AMY2B appear to share the greatest number of unique binding

residues for chloride, calcium, and glucose which further supports the high homology between

these isozymes.

53

Transport signal cleavage site Calcium binding sites Chloride binding sites Glucose binging sites Active sites Phosphorylation sites O-linked glycosylation N-linked glycosylation Disulfide bonds AMY1 calcium binding site AMY2A calcium binding site AMY2B calcium binding site AMY1 anchor possible binding site AMY2A anchor possible binding site AMY2B anchor possible binding sites AMY2A/AMY2B glucose binding site AMY1/AMY2B N-linked glycosylation site AMY2A/AMY2B chloride binding site AMY2B phosphorylation site AMY2B O-linked glycosylation site

Figure 2.5. Amylase isozymes share structural

features. The SBASE, Uniprot, and DEPP database,

Raptor binding, HMMpTM databases were used to

define general structural features of the amylase

isozymes including domains, co-factor binding sites,

post-translational modifications and residues that

may play an important role in amylase catalytic

activity. The amylase isozymes have an amylase

catalytic domain from amino acid 36 to 351, a C-

terminal all-beta domain from amino acid 421 to 510,

calcium binding sites at amino acids 173 and 182,

chloride binding sites at amino acids 210, 248, 313,

and 352, and glucose binding sites at amino acids 73,

74, 77, 78, 116, 117, 180, 210, 212, 213, 2116, 248,

250, 314, 315, and 320. The amylase isozymes also

have four disulfide bonds at amino acids 43 to 101,

amino acids 85 to 130, amino acids 156 to 175, and

amino acids 393 to 399. Uniprot also determined that

amino acids 212 and 248 play an essential role in the

active site. All amylase isozymes have

phosphorylation sites at amino acids 166, 197, 246,

259, 269, 279, 290, 291, and 304. All amylase

isozymes have O-linked glycosylation sites at amino

acids 58, 127, 452, 457, and 493 and N-linked

glycosylation sites at amino acids 61, 96, 102, 103,

165, 365, 427, and 476. B) Unique calcium, chloride,

and glucose binding sites, phosphorylation and

glycosylation sites and anchor potential binding sites

are also depicted on the bottom of the figure.

54

The amylase isozymes have similar secondary and tertiary structure profiles.

The secondary structure of amylase isozymes was examined by Consensus Secondary

Structure (CSSP) (Table 2.2). The predicted secondary structure of all amylase isozymes is

composed of over 50% of coil. The other 50% is composed of alpha helices and beta sheets. AMY1

is predicted to have 15.65% alpha helical structure and 22.30% beta sheet structure. AMY2A is

predicted to have 16.24% alpha helical structure and 24.07% beta sheet structure. AMY2B is

predicted to have 16.04% alpha helical structure and 22.11% beta sheets. Therefore, the predicted

secondary structure makeup of the amylase isozymes is very similar.

The tertiary structure as isolated by I-TASSER analysis shows that the tertiary structure of

amylase isozymes AMY1 and AMY2B is identical (Figure 2.6). Though the structure of AMY2A

was similar to the structure of AMY1 and AMY2B, it has looser, less organized and less defined

coil structures (Figure 2.6, denoted by orange arrows).

B

Figure 2.6. AMY2A has a unique 3D structure. The amylase isozymes

were subjected to RAPTORX to render a 3D structure. The 3D structure of

AMY1 (A), AMY2A (B), and AMY2B (C) determined that the structures

of AMY1 and AMY2B are identical and AMY2A has different coil

structures as denoted by orange arrows.

C A

55

Multiple regions of amylase are prone to aggregation.

The aggregation prone regions of the amylase isozymes were predicted by AmylPred2.

AMY1 has 16 aggregation prone regions. AMY2A has 21 regions of aggregation and AMY2B has

22 regions of aggregation (Table 2.2, Figure 2.7). AMY2A and AMY2B displayed unique

aggregation prone regions (Figure 2.7). Unique aggregation regions within AMY2A were mapped

to amino acids 2, 64-68, 97-98, 116, 118, 197, 279-281, 325-332,340-345, 355-356, 383-386, 407-

415, 439, 456, and 478-480. Likewise, unique aggregation regions within AMY2B mapped to

amino acids 2, 26, 40, 97-98, 116, 176-182, 325-332, 340-345, 355-356, 383-386, 408-409, 413-

414, 439, and 464-466. While aggregation prone regions were found throughout the proteins, the

isozyme unique aggregation prone regions were mostly found at the terminal ends of the protein

isozymes (Figure. 2.7).

Figure 2.7. Amylase

isozymes have multiple

aggregation prone regions.

The amylase isozymes were

subjected to analysis by

AmylPred2 in order to

determine aggregation prone

regions. AMY1 has 16

aggregation prone regions.

AMY2A has 21 regions of

aggregation and AMY2B has

22 regions of aggregation.

AMY2A and AMY2B have

unique regions of aggregation

not found in AMY1 (*).

56

The amylase isozymes functionally interact with metabolic proteins

According to String analysis, amylase interacts functionally with metabolic proteins

(Figure 2.8). Using a medium confidence interval of interaction, I could isolate proteins that most

likely interact with amylase. Proteins that interact with all amylase isozymes are glycogen

phosphorylase, brain form (PYGB), glucan (1,4-alpha-) branching enzyme 1 (GBE1), glycogen

phosphorylase, liver form (PYGL), glycogen debranching enzyme (AGL), and sucrase-isomaltase

(SI). The proteins that interact with all the amylase isozymes have functions associated with

carbohydrate metabolism (Table 2.3, Figure 2.8). Both AMY2A and AMY2B interact with

Thyroid Stimulating Hormone, Beta (TSHB)

However, amylase isozymes also have unique probable interactions. AMY1 interacts with

lactase (LCT), kinase A anchor protein 1 (AKAP1), kinase A anchor protein 8 (AKAP8), collagen,

type X, alpha 1 (COL10A1), and bacterial/permeability-increasing protein (BPI). The unique

proteins associated with AMY1 are connected to carbohydrate metabolism, antibacterial functions,

and extracellular matrix glycoprotein remodeling. AMY2A interacts with maltase-glucoamylase

(MGAM), glycoprotein 2 (GP2), enolase 1 (ENO1), and pancreatic lipase (PNLIP). The unique

proteins associated with AMY2A are connected to carbohydrate and lipid metabolism, and

immune and antibacterial functions. AMY2B interacts with phosphoglucomutase 1 (PGM1), CD

molecule (CD2), ATPase, Na+/K+ transporting, Alpha 4 Polypeptide (ATP1A4), ATPase,

Na+/K+ transporting, and Alpha 1 Polypeptide (ATP1A1). The unique proteins associated with

AMY2B are connected to carbohydrate metabolism, energy production and immune functions.

57

A

B

C

Figure 2.8. Amylase isozymes form functional interactions with other metabolic enzymes.

String database indicate that AMY1 (A), AMY2A (B), and AMY2B (C) have functional

interactions with other starch digesting enzymes. Shown is the interaction network of the

amylase isozymes at medium confidence. Green lines connect proteins which are associated

by recurring conserved genomic neighborhood, red lines indicate gene-fusion events in other

species, blue connections are inferred by phylogenetic co-occurrence derived from similar

patterns of absence and presence of genes, black lines indicate co-expression analysis derived

from similar patterns of mRNA expression, purple lines indicate high-throughput

experimental data, light blue lines indicate associations in curated database, and light green

lines indicate textmining or co-occurrence of gene/protein names in abstracts.

58

Table 2.3. Proteins that functionally interact with amylase isozymes

Proteins that interact with all amylase isozymes

AGL Amylo-alpha-1, 6-glucosidase, 4-alpha-glucanotransferase. Glycogen debrancher

enzyme which is involved in glycogen degradation.

PYGB Phosphorylase, glycogen; brain; Glycogen phosphorylase found predominantly in

the brain as an allosteric enzyme in carbohydrate metabolism.

GBE1 Glucan (1,4-alpha-), branching enzyme 1; Glycogen branching enzyme required

for sufficient glycogen accumulation.

PYGL Phosphorylase, glycogen, liver. This gene encodes a protein that cleaves alpha-1,

4-glucosidic bonds to release glucose-1-phosphate from liver glycogen stores.

SI Sucrose-isomaltase (alpha-glucosidase). This gene encodes a sucrose-isomaltase

complex essential for the final stage of digestion of dietary carbohydrates.

Proteins that interact with both AMY2A and AMY2B

TSHB Thyroid Stimulating Hormone, Beta is indispensable for the control of thyroid

function and metabolism.

Proteins that interact only with AMY1

LCT Lactase-glycosylceramidase is an integral protein in the plasma membrane that has

both lactase activity and phlorizin hydrolase activity.

AKAP1 A kinase (PRKA) anchor protein 1; binds to type I and II regulatory subunits of

protein kinase A and anchors them to the mitochondrion.

AKAP8 A kinase (PRKA) anchor protein 8; anchoring protein that mediates the

compartmentation of PKA and other signaling molecules. AKAP8 may target

PKA and the condensin complex to chromatin during mitosis for chromosome

condensation.

COL10A1 Collagen, type X, alpha 1; type X collagen is a homotrimer product of

hypertrophic chondrocytes during endochondral ossification

BPI Bactericidal/permeability-increasing protein. This gene encodes a

lipopolysaccharide binding protein associated with human neutrophil granules and

has antimicrobial activity against gram-negative organisms.

Proteins that interact with only AMY2A

MGAM Maltase-glucoamylase (alpha-glucosidase) is a brush border membrane enzyme

that plays a role in the final steps of digestion of starch.

GP2 Glycoprotein 2 (zymogen granule membrane) encodes an integral membrane

protein that is secreted from intracellular zymogen granules and associates with

the plasma membrane via glycosylphosphatidylinositol (GPI) linkage. The

encoded protein binds pathogens such as enterobacteria, thereby playing an

important role in the innate immune response.

ENO1 Enolase 1, (alpha). Each isoenzyme is a homodimer composed of 2 alpha, 2

gamma, or 2 beta subunits, and functions as a glycolytic enzyme. Alternative

59

splicing of this gene results in a shorter isoform that has been shown to bind to the

c-myc promoter and function as a tumor suppressor.

PNLIP Pancreatic lipase. It encodes a carboxyl esterase that hydrolyzes insoluble,

emulsified triglycerides, and is essential for the efficient digestion of dietary fats.

Proteins that interact with only AMY2B

PGM1 Phosphoglucomutase 1 belongs to the phosphohexose mutase family. There are

several PGM isozymes, which are encoded by different genes and catalyze the

transfer of phosphate between the 1 and 6 positions of glucose. In most cell types,

this PGM isozyme is predominant, representing about 90% of total PGM activity.

ATP1A4 ATPase, Na+/K+ Transporting, Alpha 4 Polypeptide. The protein encoded is the

catalytic subunit of the subfamily of Na+/K+ -ATPases, an integral membrane

protein responsible for establishing and maintaining the electrochemical gradients

of Na and K ions across the plasma membrane essential for osmoregulation, for

sodium-coupled transport of molecules, and for electrical excitability of nerve and

muscle.

ATP1A1 The catalytic component catalyzes the hydrolysis of ATP coupled with the

exchange of sodium and potassium ions across the plasma membrane. This action

creates the electrochemical gradient of sodium and potassium ions, providing the

energy for active transport of various nutrients.

CD2 CD2 molecule, a surface antigen of the human T-lymphocyte lineage that is

expressed on all peripheral blood T cells. It is one of the earliest T-cell markers,

being present on more than 95% of thymocytes and on some natural killer cells.

* Protein description was retrieved from GeneCards

Amylase isozyme expression may be driven by differential promotor activation

To begin to understand the mechanisms responsible for hyperamylasemia in OC, additional

computational analyses were performed to identify potential transcription factors that might

regulate amylase expression. Promo was used to analyze the probable promoter regions of the

amylase isozymes. Promo predicted probable attractive transcription factor binding sites within

each probable promoter region. It also predicted which transcription factors would be most likely

to bind to these potential transcription factor binding sites (Figure 2.9). The binding sites of these

transcription factors are located at different regions of the isozyme promoter sequences, suggesting

differing patterns of regulation.

60

Transcription factors C/EBP alpha (regulates cell cycle regulation), C/EBP delta (regulates

immune and inflammatory responses), and Zic1/2 (regulates mammalian development) were

predicted to regulate AMY1 and AMY2A promoter activity. STAT5A (signal transduction and

transcription factor) is a unique transcription factor of AMY1. C/EBP delta was also identified as

a candidate transcription factor for AMY2B, however, POU1F1 (regulates mammalian

development) and Cdx-1 (regulates intestine-specific gene expression) were uniquely predicted to

regulate AMY2B (Figure 2.9).

The EPD was utilized to find potential core promoter elements such as the TATA, CG and

CCAAT boxes (Figure 2.9). AMY1 has a TATA box at residues -51 to -33 and a CG box at

residues 40 to 55. AMY2A has TATA boxes at residues -52 to -21 and -17 to -5. AMY2A also has

two CCAAT boxes at residues -598 to -585 and -547 to -534. AMY2B has two TATA boxes at

residues -138 to -101 and -50 to -33 and a CG box at residues 15 to 28.

AMY2B overexpression is the most likely to be associated with amplification mutations in

cancer

cBioPortal for Cancer Genomics database determined the frequency and pattern of mutations in

the amylase isozymes. The number of reported amylase genes’ mutation reflects their evolutionary

history. AMY2B, the most evolutionarily conserved amylase gene, has developed the most

mutations (n = 86), whereas AMY1, the most recently evolved, has developed the least amount of

mutations (n = 4). All the AMY1 mutations are missense mutations; AMY2B mutations are 90.7%

missense mutations, 3.5% nonsense mutations, 4.6% frameshift mutations and 1.1% splice site

mutations. AMY2A has an intermediate number of mutations (n = 51). Mutations in AMY2A are

82.4% missense mutations and 17.6% nonsense mutations (Figure 2.10).

61

Figure 2.9. AMY2B has unique potential transcription factors. The potential promoters of the

amylase isozymes were retrieved from Ensembl genome browser and analyzed by Promo database

to identify candidate transcription factors driving amylase promoter activity.

62

Figure 2.10. Mutational events are highest in AMY2B. cBioPortal for Cancer Genomics

database determined the pattern of mutations in the amylase isozymes AMY1 (A), AMY2A

(B), and AMY2B (C). Mutations are denoted by lollipops – green lollipops denote missense

mutations, red lollipops denote truncating mutations, black lollipops denote inframe deletions

and insertions. Purple lollipops denote residues affected by multiple mutation types. AMY2B,

the most conserved amylase gene, has developed 86 mutations, whereas AMY1, the most

recently evolved, has developed 4 mutations. AMY2A developed 41 mutations.

A

B

C

63

Figure 2.11: AMY2B is altered in most cancer types (Continued on Next Page)

B

A

64

cBioPortal for Cancer Genomics database determinations also revealed a variety of mutations

among the amylase isozymes, including non-specific mutations, deletion mutations and

amplification mutations present in many cancer types including cancers of the lung, colon, uterus

and skin (Figure 2.11). Mutations in AMY1, AMY2A, and AMY2B were found in 21, 24, and 26

cancer types, respectively. AMY1 mutations in cancers other than OC mostly arise from genetic

amplifications and deletions whereas AMY2A mutations in other cancers are comprised of a

C

Figure 2.11. AMY2B is altered in most cancer types. Amplifications comprise the majority

of amylase mutations in OC. cBioPortal for Cancer Genomics database determined the

mutational profiles for amylase; AMY1 (A), AMY2A (B), and AMY2B (C).

65

mixture of deletions, amplifications and missense mutations. Likewise, AMY2B mutations in

other cancers typically occur as missense mutations and amplification mutations (Figure 2.11).

The pattern of amylase isozyme mutations in OC is somewhat different from that in other

cancer types. In OC, the mutational profile of amylase isozyme AMY1 consists mostly of

amplifications and deletions while the mutational profile of the amylase isozyme AMY2A in OC

is mostly amplifications as well as some deletions and nonsense mutations. The pattern genetic

mutation of the amylase isozyme AMY2B in OC is also mostly due to amplifications although

some deletions, truncations and in-frame mutations are also noted. Further, in OC, the mutation

frequency of the amylase isozyme AMY1 was determined to be 2.2% amplifications and 0.3%

deletions. The mutation frequency of AMY2A was 2.1% amplification, 0.3% deletion, 0.1%

missense mutation and 0.1% mixed missense mutation and amplification while the mutation

frequency of AMY2B was 2.2% amplifications and 0.3% deletions (Figure 2.11).

Lastly, cBioPortal for Cancer Genomics database was utilized to determine amylase isozyme

mRNA expression in different cancers (Figure 2.12). AMY1 mRNA expression was low in most

cancers. Only OC, lung squamous carcinoma, thyroid cancer and lung adenocarcinoma expressed

relatively high AMY1 mRNA levels. AMY2A mRNA expression was almost negligible in most

cancers except for its high mRNA expression in pancreatic cancer. AMY2B mRNA expression

was relatively high in all cancers explored by the database. In OC, AMY2B mRNA expression

levels were highest followed by AMY1 and AMY2A mRNA expression levels.

66

Figure 2.12: AMY2B is the most expressed amylase isozyme in OC (Continued on Next Page)

A

B

67

Clinical validation confirms elevated levels of AMY2B protein in OC

While my computational analyses predicted elevated AMY2B RNA levels in OC, validation

of elevated AMY2B protein had yet to be determined in OC. Therefore, to validate differential

amylase isozyme protein expression with OC, serum samples from healthy controls, women with

benign gynecologic disease and women with OC and endometrial cancer were subjected to WB

analyses. Using the 95th percentile of amylase values for healthy controls as the threshold for serum

C

Figure 2.12. AMY2B is the most expressed amylase isozyme in OC. cBioPortal for Cancer

Genomics database determined amylase isozyme mRNA expression in cancers at the

transcriptional level; AMY1 (A), AMY2A (B), and AMY2B (C). AMY2B demonstrated the

highest RNA expression in OC when compared with other amylase isozymes (denoted by

boxes). AMY2B RNA is most expressed in OC followed by AMY1 and AMY2A mRNA.

68

amylase positivity, the amount of serum AMY1, AMY2A and AMY2B was generally negligible

in healthy pooled controls and individual serum samples from women with benign gynecologic

disease (Figure 2.13). Likewise, negligible amounts of AMY1A and AMY2A protein were present

in serum samples from endometrial cancer, clear cell carcinoma and mucinous OC. While elevated

levels of AMY2B protein were noted in most endometrial cancers (4/5) and clear cell OC (1/1),

AMY2B protein levels were only elevated in 2/5 mucinous OC. AMY2B levels. In contrast, serum

samples from patients with serous ovarian carcinoma revealed AMY1 (in 3/8 samples) and

AMY2B (in 7/8 samples) protein levels up to 2x greater than healthy controls.

Figure 2.13: Serum levels of AMY2B protein are altered in OC (Continued on Next Page)

69

Discussion: The chromosomal localization of the amylase isozymes on chromosome 1p21 [302,303],

evolutionary development of the amylase isozymes from a single ancestral gene [242–244], and

similar biochemical properties such as the molecular weight, isoelectric point [242,304] and

calcium and chloride cofactor binding features common to the amylase isozymes have been

identified in the literature previously [305,306]. Further, the catalytic domain and the C-terminal

domain of the amylase isozymes [307], and crystalized tertiary structure of the amylase isozymes

[257,308] have also been elucidated.

Figure 2.13. Serum levels of AMY2B protein are altered in OC. Serum samples from normal

controls (*), women with benign gynecologic disease and cancer were subjected to western

immunoblotting for amylase AMY1, AMY2A, AMY2B (upper panel). Amylase band intensity

was quantified and densitometry values are expressed relative to the transferrin control group

(lower panel).

0

0.5

1

1.5

2

2.5

7A

00

32

31

19

-29

31

19

-51

31

19

-53

31

19

-54

31

19

-55

31

19

-56

P2

0A

31

19

-62

6K

21

46

31

19

-12

31

19

-26

31

19

-30

31

19

-40

31

19

-65

31

19

-61

C1

60

37

31

19

-37

31

19

-44

31

19

-63

P8

0

P9

0

31

19

-60

31

19

-48

31

19

-59

M1

41

61

31

19

-43

31

19

-19

31

19

-33

31

19

-15

31

19

-31

31

19

-22

31

19

-35

31

19

-17

Rat

io o

f am

ylas

e to

tra

nsf

erri

nSerum densitometry

AMY1 AMY2A AMY2B

* * *

*

Serous OC

Mucinous OC

Clear cell OC

Ovarian tumor thecoma

Endometrial Cancer

Benign gynecological disease

Ovarian Anaplastic metastatic Carcinoma

Mature cystic Teratoma

70

Given the common evolutionary background and shared sequence homology, it is not

surprising that the amylase isozymes share biochemical and structural features despite differential

tissue expression. Computational analyses indicated that the amylase isozymes are composed of

511 amino acids, have an average computational molecular weight of 57 kDa and an average

computational isoelectric point of 6.57. The amylase isozymes also bind chloride and calcium as

enzymatic cofactors. This, coupled with predictions that the amylase isozymes are hydrophilic,

suggests that amylase is secreted from cells, in keeping with its known digestive function.

Structurally, the amylase isozymes share a common structure dominated by an amino terminal

transport signal site and a catalytic domain. The amylase isozymes also share common

phosphorylation, glycosylation, and calcium, chloride and glucose binding sites.

Computational analysis was not always in agreement with known properties of amylase

reported in literature. Both computational and known literature reported the homology of the

amylase isozymes as being above 90%; however, the amylase isozymes are much more

homologous according to the computational analysis. Literature reported molecular weight and

isoelectric point did not differentiate between the AMY2A and AMY2B making the computational

analysis of the amylase isozymes size more specific. There was no agreement between the results

of the computational analysis and literature reported domains of the amylase isozyme, the position

of the active sites or the calcium and chloride binding sites. This discrepancy may be due to the

different algorisms used by the computational programs and may not accurately depict biological

conditions. It may also be that experimental validation of the new biological knowledge found by

computational programs has not been done.

In order to begin to understand the role of and mechanisms contributing to hyperamylasemia

seen in OC, I performed computational analyses to identify unique features of the amylase

71

isozymes in order to predict which isozyme would most likely be overexpressed in OC-associated

hyperamylasemia. Computational analyses highlighted new features of the amylase isozymes not

previously reported (Table 2.4). They include the following:

First, potential unique post-translational modifications, including novel glycosylation and

phosphorylation sites, were identified among the amylase isozymes. Glycosylation is a regulated

and reversible modification including the covalent bonding of a sugar moiety of variable length

and arrangement to a protein residue [309]. Glycosylation plays a role in folding and structural

stability of protein, protein localization and interactions as well as immune responses and

modifying cell signaling. Glycosylation of proteins confers a more stable configuration that is less

prone to degradation [310–312]. Glycan dysfunction can lead to cancer, diabetes and liver cirrhosis

[209,313,314], therefore, additional glycan sites at residues 411 for AMY1 and residues 423 and

411 for AMY2B may lead to enhanced protein stability.

Phosphorylation is a flexible, simple, reversible regulatory mechanism utilized by 30% of

human proteins via protein kinases. Phosphorylation can alter protein activity, stability, function,

and interactions. Abnormal phosphorylation is often a cause or consequence of human disease

[208,315]. Phosphorylation affects intracellular signaling cascades that regulate metabolism,

enzyme reactions and protein degradation [209] so a unique phosphorylation site at amino acid

residue 133 in AMY2B (according to DEPP) can be responsible for increased protein stability and

possibly more protein-protein interactions. These potential posttranslational modifications may be

key for amylase function. Together, these unique and/or aberrant posttranslational modifications

could alter amylase transcription, secretion or enzymatic activity contributing to overexpression

of amylase in cancer.

72

Table 2.4. Distinguishing computational characteristics among amylase isozymes

AMY1 AMY2A AMY2B

Tissue specificity Salivary gland Pancreas None

Unique regions of

disorder

Amino acid 51-63,

117-134 and 375-384

- Amino acid 51-63 and

117-134

Unique calcium

binding residues

N115 N115, H216 H216

Unique chloride

binding residues

- 269 T269

Unique glucose

binding residues

- T178, G321 V178, G321

Unique 3D structure - + -

Unique regions of

aggregation

- 2, 64-68, 97-98, 116,

118, 197, 279-281,

325-332,340-345,

355-356, 383-386,

407-415, 439, 456,

478-480

2, 26, 40, 97-98, 116,

176-182, 325-332,

340-345, 355-356,

383-386, 408-409,

413-414, 439, 464-466

Unique

phosphorylation

sites

- - Amino acid 133

Unique

glycosylation sites

N-linked: residue 411 - N-linked: residue 411

O-linked: residue 123

Unique interacting

proteins

LCT, BPI, COL10A1,

AKAP1, AKAP8

MGAM, TSHB,

GP2, PNLIP, ENO1

TSHB, ATP1A4,

ATP1A1, CD2, PGM1

Unique transcription

factors

C/EBP alpha, Zic1/2,

STAT5A

C/EBP alpha and

Zic1/2

POU1F1 and Cdx-1

No. of mutations 4 41 86

* Common features of the amylase isozymes are discussed in the results section. Table indicates

the unique characteristics of the different amylase isozymes.

Sumoylation is the reversible attachment of a Small Ubiquitin-related MOdifiers (SUMO) to

proteins. SUMO protein is added to a specific peptide sequence of a hydrophobic residue bound

to a lysine bound to any amino acid followed by an acidic residue [316]. Sumoylated proteins

appear to take a part in transcription [211,212], apoptosis [213], and signal transduction [214].

While the mechanisms that regulate sumoylation are not well understood, conjugation of SUMO

to proteins can alter protein configuration potentially leading to new protein-protein interactions,

73

inhibition of existing protein-protein interactions and/or changes to existing protein functions and

activity [215], thereby enhancing functional diversity. In this way, sumoylation can increase

protein stability by promoting the formation of multimeric protein complexes as well as by

inhibition of ubiquitination [216]. Since all amylase isozymes are predicted to be sumoylated, it is

expected that sumoylation imparts stability and may result in a longer half-life due to lack of

ubiquitination and, subsequently, degradation.

Second, protein function is determined by protein structure which, in turn, is based on protein

sequence. Consequently, evolutionarily related proteins have similar structural motifs and the

structural similarities between the amylase isozymes are indicative of their evolutionary history

[317]. In agreement, I found that all the amylase isozymes are generally highly ordered proteins

with long half-lives. Therefore, the amylase isozymes have a stable secondary and/or tertiary

structure. Since ordered proteins have low binding potential to other proteins and usually do not

form complexes, it is unlikely that amylase forms larger protein complexes [205]. However, I also

found that AMY1 and AMY2B have unique internal regions of protein disorder. AMY1 has unique

disorder regions at amino acids 51 to 63 and 375 to 384 while AMY2B has a unique disorder

profile at amino acids 51 to 63 and 117 to 134. These internal regions of protein disorder in AMY1

and AMY2B represent zones of flexible protein configurations that: (1) are more prone to

posttranslational modifications (such as the unique phosphorylation site at amino acid 133 in

AMY2B) that increase protein functionality; (2) may function as linkers between the two

structured domains of the amylase isozymes or; (3) may confer increased binding potential to the

structured domains of other proteins [317].

Third, amylase function may be related to protein aggregation inherent in amylase protein

structure. Alpha-amylase was found to be more prone to aggregation as compared to β-amylase

74

due to the presence of cysteine residues on the surface of amylase which help form intermolecular

sulfide bonds that covalently-link amylase dimers [318]. Computational analyses revealed that the

amylase isozymes share multiple, common aggregation prone regions, but AMY2A and AMY2B

have additional unique regions of aggregation. Unique aggregation prone regions were mostly

found in AMY2B, indicating it is most likely to aggregate. Aggregation prone regions are more

likely to be in ordered regions and stabilize proteins. Aggregation prone regions are also very likely

to be found in close structural proximity to catalytic residues further indicating that aggregation

prone regions contribute to protein function. Aggregation prone regions can be conserved in

proteins to maintain protein stability and function [206]. AMY2A and AMY2B have unique

regions of aggregation which is in keeping with their evolutionary history. Unlike AMY1, since

AMY2B is the oldest of the amylase isozymes, it has the most conserved ordered protein regions

which is in keeping with the view that intrinsically ordered proteins are associated with high self-

aggregability. This was further supported by analyses of tertiary amylase structure. Specifically,

alpha helixes are the most common secondary structure to transverse the membrane due to their

ability to maintain more polar structures inside the helix [319] while beta sheets play a large part

in amyloid formation [320]. The pancreatic amylase isozyme AMY2A has more alpha helix

structure indicating it may more readily transverse the membrane than AMY1 and AMY2B

amylase isozymes.

The salivary glands and pancreas account for most of the amylase activity in the body.

Increased amylase expression and activity (hyperamylasemia) has been associated with insult to

the pancreas or salivary glands, chronic alcoholism, amylase secreting cancers and anorexia

nervosa or bulimia. Hyperamylasemia is due to an overproduction of amylase that is secreted into

the serum as well as decreased amylase clearance. Decreased amylase clearance may be due to

75

macroamylasemia, an asymptomatic condition wherein amylase aggregates into high-molecular

weight complexes containing immunoglobulins [321]. Reportedly, hyperamylasemia and

macroamylasemia can occur as secondary conditions to cancer [322]. The amylase proteins

displayed different potential aggregation-prone regions. Since AMY2A and AMY2B may be more

prone to self-aggregate because they have more aggregation prone regions, they may contribute to

macroamylasemia [323].

Fourth, while the ordered nature of the amylase isozymes typically precludes their physical

interaction with other proteins, computational analyses predicted several potential functional

amylase-protein interactions, mostly associated with carbohydrate metabolism. However, unique

functional interactions among amylase isozyme family members were also noted and might

represent novel functions limited to specific amylase isozymes. That is, AMY1 has unique

interactions with lactase (LCT), kinase A anchor protein 1 (AKAP1), kinase A anchor protein 8

(AKAP8), collagen, type X, alpha 1 (COL10A1), and bacterial/permeability-increasing protein

(BPI). These unique interactions indicate that AMY1 might participate in a variety of established

and novel functions including carbohydrate metabolism, extracellular matrix remodeling, and cell

immunity. AMY2A has interactions with maltase-glucoamylase (MGAM), glycoprotein 2 (GP2),

enolase 1 (ENO1), pancreatic lipase (PNLIP), and TSHB. These unique interactions indicate that

AMY2A could participate in a variety of functions including carbohydrate and lipid metabolism

and cell immunity. With possible involvement in lipid metabolism, AMY2A may play a role in

alternate energy production. AMY2B has interactions with phosphoglucomutase 1 (PGM1), CD

molecule (CD2), ATPase, Na+/K+ transporting, Alpha 4 Polypeptide (ATP1A4), Alpha 1

Polypeptide (ATP1A1), and TSHB. These unique interactions suggest that AMY2B could also

participate in carbohydrate metabolism as well as ATP production and cell immunity.

76

Interestingly, all amylase isozymes functionally interact with different immunity related proteins,

indicating that amylase may modulate the immune response. These novel interactions point to

potential alternative functions of the amylase isozymes. It is important to note that all the proteins

that interact with amylase do not form physical interactions, but have functional interactions. There

is no indication that amylase forms complexes with other metabolic enzymes. However, it has

been proposed that amylase is sequestered in normal tissue and during inflammatory events,

amylase is released into the blood [324]. Consequently, the high levels of tissue amylase may be

related to an anti-bacterial role [325].

Fifth, unique amylase isozyme expression profiles may arise through differential gene

expression regulated, in part, by different transcription factors. The current study revealed that

AMY1 transcription may be regulated by the C/EBP alpha, C/EBP delta, zic1/2, and STAT5a

while AMY2A is regulated by C/EBP alpha, C/EBP delta and zic1/2 and AMY2B is regulated by

C/EBP delta, POU1F1 and Cdx-1. The function of the differentiation-inducing C/EBP

transcription factor family has been found to be abrogated in hematopoietic, lung and skin cancers

[326]. C/EBP beta is overexpressed in OC epithelial cells in vivo and C/EBP alpha and delta have

constant expression levels regardless of tumor stage/progression [327]. Zic1 plays a role in cancer

progression in medulloblastomas, endometrial cancers, colorectal and mesenchymal neoplasms

such that Zic1 is downregulated during transformation [328]. In breast cancer, loss of STAT5A is

associated with poor clinical outcome and advanced tumor progression [329]. Not much is known

about the role many of these transcription factors play in OC in particular though it is clear that

they play a large role in cancer progression in other cancer types.

In addition to all the above, all three amylase isozymes had TATA boxes in their promoter

regions while only AMY1 and AMY2B have CG boxes in their promoter regions and only

77

AMY2A has CCAAT boxes in its promoter region. Core promoter elements determine

transcriptional regulations by governing which transcription factors are recruited. The TATA box

is a DNA sequence that specifies where transcription initiates by binding transcription factors.

TATA boxes are typically found in highly regulated genes [330]. The GC box is usually found

upstream of the TATA box and acts like a transcriptional enhancer that binds transcription factors

[331]. The CCAAT box also occurs upstream of the transcription start site and is known to be part

of the core promoter. Interestingly, the C/EBP proteins are highly conserved CCAAT enhancer-

binding proteins with multiple functions in proliferation, metabolism, immunity and inflammation

[332–335]. This indicates that the amylase isozymes have different core promoter and enhancer

regions that recruit transcriptional factors by unique methods.

Lastly, computational analyses indicated that the number of potential mutations among

amylase isozymes was greatest in AMY2B (with 86 possible mutations) compared with AMY2A

(with 41 possible mutations) and AMY1 (with 4 possible mutations). It is also interesting that the

AMY1 mutations are located at the end of the alpha-amylase catalytic domain while mutations in

AMY2A are localized mutations mostly in the N-terminal and alpha-amylase catalytic domain.

This suggests that the alpha-amylase catalytic domain may be prone to mutations. In contrast,

AMY2B has mutations uniformly distributed throughout its protein. Nonetheless, mutations of

amylase isozymes often lead to amplification and could explain overexpression leading to

hyperamylasemia in OC.

Despite many similarities among the amylase isozymes, computational analyses revealed

significant differences among these isozymes based on regions of protein disorder, calcium

binding sites, glycosylation sites, phosphorylation sites, regulatory transcription factors, tertiary

structure, aggregation prone regions and susceptibility for mutational events. Consequently,

78

structural, functional and regulatory differences among the amylase isozymes may contribute to

differential tissue expression in disease. The computational differences among amylase isozymes

leads me to believe that AMY2A and AMY2B may be more prone to self-aggregation. AMY1 and

AMY2B have unique regions of disorder indicating these isozymes may mediate more

interactions, and be more susceptible to mis-folding and aggregation. AMY1 and AMY2B have

identical tertiary structures indicating AMY1 and AMY2A may have similar interactions and

patterns of secretion. AMY2B is endogenously expressed in many tissues due to its lack of a

retroviral insertion that induces tissue specificity. During malignant transformation, AMY2B

expression may be exacerbated by genetic deregulation.

Taken together, my computational analyses predict that AMY2B and, to a lesser extent,

AMY1 may be the amylase isozymes overexpressed in OC-associated hyperamylasemia. While

my computational analyses suggest that AMY2B RNA is overexpressed in OC and elevated levels

of AMY2B amylase have been anecdotally reported in OC serum and tissues, information about

the specific amylase isozyme overexpressed at the protein level in OC disease is lacking.

Therefore, to validate my computational predictions, serum samples from normal controls and

from women with benign gynecologic disease and reproductive cancers were assessed by amylase

isozyme protein expression by western immunoblotting. I was able to confirm that, compared to

normal controls and benign disease, AMY2B was preferentially overexpressed at the protein in

serous ovarian cancers, the most frequently occurring ovarian histologic subtype. Consequently,

computational strategies can serve as a first step to help identify novel protein regulators for OC,

such as AMY2B, which can then be expanded in further studies on the molecular mechanism(s)

contributing to OC progression.

C/EBP alpha C/EBP delta STAT5A

vitamin D

C/EBP alpha

79

Chapter 3

Amylase promotes OC cell invasion in vitro

Introduction:

Hyperamylasemia has been reported in OC [262,336,337], specifically in women with serous

ovarian tumors [338] and ovarian cystadenocarcinoma [230]. Zakrezewska et al. found that

amylase is overexpressed in 39% of OC patients [339]. Hyperamylasemia is associated with poor

prognostic outcome including rapid disease progression and increased mortality; it has been

suggested that amylase is a marker of disease progression as amylase activity only decreases in

response to treatment and rapidly increases when diseases relapse [340–343]. However, its

contribution to OC disease etiology remains unknown [1]. Nonetheless, since hyperamylasemia in

OC patients is reduced after ovarian tumor removal or treatment, elevated serum levels of amylase

in patients with hyperamylasemia are thought to result by secretion of amylase by OC cells

[269,336].

My computational analyses predicted AMY1A and AMY2B as the most likely amylase

isozymes overexpressed in OC, and western blot analysis of OC patient serum samples confirmed

high levels of AMY1 and AMY2B in OC (Chapter 2). To begin to determine the contribution of

amylase for OC progression, in this chapter, an in vitro model of amylase secretion by OC cells

will be developed. The functional contribution amylase for OC will be evaluated by measurement

80

of cellular proliferation and invasion as well as the ability for amylase to degrade ECM

components. Lastly, by demonstrating amylase within the cellular glycocalyx and the ECM

environment, I propose a role/mechanism by which amylase may not only drive energy production,

but invasion by OC cells.

Materials and Methods:

Tissue culture

The following human cell lines were used: normal human dermal fibroblasts HDF; SV 40-

Large T-Antigen transfected human ovarian surface epithelial (IOSE) cell lines MCC3, IOSE-80,

IOSE-121, and IOSE-144 derived from normal patients with no family history (NFH) of breast

and/or OC [344,345]; OC cell lines CaOV3, OVCAR5, OV-90, SKOV3, TOV21G and IGROV;

colorectal adenocarcinoma cancer cell lines WiDr and SW626; breast cancer cell lines MDA-MB-

231 and MCF7; head and neck cancer cell line HN5α [346]; cervical cancer cell lines Hela, C13,

OV2008; pancreatic cancer cell line Panc1; lung cancer cell lines NCI-H2009 and H69; and

glioblastoma U373MG cells. Cells were cultured in Medium 199/MCDB 105 (Sigma, St. Louis,

MO) with 5% fetal bovine serum (FBS) and gentamicin and incubated at 37°C with 5% CO2.

Media was concentrated using Centriprep Centrifugal Filter Devices (Ultracel YM-3 Cat.4302

Merck Millipore Ltd, Tullagreen, Ireland).

Transmission Electron Microscopy (TEM)

Cells were grown on routine tissue culture plasticware in a monolayer on a 13mm coverslip in

6 well plates overnight. Adherent cells were fixed with 75 mM lysine in 0.075% (w/v) alcian blue,

2% paraformaldehyde (PFA), 2.5% glutaraldehyde (GA) in 0.1 M cacodylate (CAC) buffer

solution, buffered at pH 7.2, for 0.5 hour at 37°C. The coverslips were then washed for 1.5 hours

at room temperature followed by storage at 4°C overnight. Coverslips were then rinsed three times

81

for five minutes with 0.1 M CAC, pH 7.2 and postfixed with 1% osmium tetroxide-potassium

ferrocyanide (OsO4/0.8% K4Fe(CN)6) in 0.1M CAC, pH 7.2 for 1 hr. Coverslips were then rinsed

for five minutes with 0.1M CAC, pH 7.2, and washed with dH2O twice for five minutes. Coverslips

were dehydrated with a graded ethanol (ETOH) series: 35%, 50%, 70%, and 95% ETOH followed

by three exchanges of anhydrous 100% ETOH prior to critical point drying via three ten minute

washes in 100% acetone. For resin infiltration, cells were incubated in graded acetone/Epon 812

resin solutions: 2:1 acetone to resin solution for ten min, 1:1 acetone to resin solution for 48 hours,

1:2 acetone to resin solution for two hours and pure resin twice for two hours each. The coverslips

were then cut into 2mm x 6.5mm segments and baked on pure resin at 40°C for 2-4 hours and at

70°C overnight to polymerize the resin. The coverslips were then sectioned, examined and

photographed on a Zeiss EM 30 electron microscope. Cell cultures were screened for yeast

contamination and contaminated cultures were replaced.

Quantitative PCR

Cells were treated with TRIzol reagent from Invitrogen (Carlsbad, CA) and ribonucleic acid

(RNA) was isolated according to the manufacturer’s instructions. To generate single-stranded

complementary DNA (cDNA), the Applied Biosystems GeneAmp RNA polymerase chain

reaction (PCR) Core Kit (Foster City, CA) was used with 3 ug/mL total RNA using a Biometra

UNO-thermo-block and Perkin-Elmer-GeneAmp PCR system 9600. qPCR was carried out with

SYBR Green Universal Master Mix (Applied Biosystems), cDNA, and primers. Primers used were

AMY1A (GeneCopoeia: Hs-QRP-21480; Rockville, MD), AMY2A (GeneCopoeia: Hs-QRP-

21450), AMY2B (GeneCopoeia: Hs-QRP-21451; Rockville, MD), and GAPDH (GeneCopoeia:

Hs-QRP-20169; Rockville, MD) as control. Sequences for the amylase primers remain the

proprietary property of GeneCopoeia. Amplification was performed with 40 cycles of denaturation

82

(95°C, 10 sec), annealing (60°C, 20 sec), and extension (72°C, 15 sec) using a Bio-RAD Chromo4

Real Time PCR Detector using Opticon Monitor 3 program. Levels of amylase were normalized

to their respective GAPDH message values and the fold difference was determined by dividing the

threshold cycle (Ct) value by the reference sample.

Western blot

Cells were washed in PBS, trypsinized, pelleted, rewashed with PBS and counted. Cells

were lysed in CHAPS buffer for 30 minutes on ice before being centrifuged at 115,000 x g, at 4°C

for 1h. Twenty ug of protein were separated by a 10% sodium dodecyl sulfate polyacrylamide gel

electrophoresis (SDS-PAGE). Proteins were transferred to Polyvinylidene fluoride (PVDF)

membranes, washed in Tween 20-Tris buffered Saline (TBST), and blocked in 5% milk in TBST.

Blots were incubated in their respective primary antibodies overnight, followed by incubation with

a horseradish peroxidase (HRP)-conjugated secondary antibody (Fisher, Pittsburgh, PA), and

developed via FEMTO Cat. 34095 Life Technologies (Grand Island, NY). Antibodies used were:

AMY1A (1:1000) Cat.H00000276-M04 Abnova (Taipei City, Taiwan); AMY2A (1:500) 15845-

1-AP Proteintech (Chicago, IL); AMY2B (1:2000) Cat. LS-C173958 LSBio (Seattle, WA); Beta

Actin Loading Control Antibody (BA3R) (1:10,000) Cat. # MA5-15739 Thermo Scientific

(Rockford, IL). Densitometry was performed using ImageJ software to normalize amylase band

strength to the actin band.

Amylase ELISA

To measure amylase protein levels in OC samples and/or their conditioned medium, 100ul

of samples corresponding to 104 cells were assayed in triplicate using the quantitative double

sandwich enzyme-linked immunosorbent assay (Amy-p ELISA Kit; Cat. MBS264855;

MyBioSource, San Diego, CA). Absorbance was read on a Microplate Reader BioTek ELx800

83

(Winooski, Vermont) using Gen5 Data Analysis Software (Biotek, Winooski, Vermont). Resultant

values were derived from a standard curve and expressed as the mean amylase concentration of

triplicate samples.

Amylase activity assay

The Amylase Assay Kit (Cat: ab102523 Abcam, Cambridge, MA) was used to measure

amylase activity according to the manufacturer’s instructions from concentrated conditioned

media (CCM). The CCM corresponding to 104 cells was incubated with ethylidene-pNP-G7, a

substrate that is cleaved by amylase into smaller fragments targeted by α-glucosidase to release a

chromophore whose concentration was measured at 405 nm using μQuant plate reader from Bio-

tek instruments, Inc. (Winooski, VT).

Amylase transfection

For silencing experiments, IOSE and OC cells were split into four groups, including a

control group supplemented with only the transfection reagent, a negative control group

transfected with a non-targeting control scramble siRNA and the transfection reagent, a third group

supplemented separately with the three different amylase siRNAs and the transfection reagents

and, lastly, a fourth group transfected with GFP to monitor transfection efficiency. Cells were

transfected with ON-TARGETplus Human AMY1A siRNA-SMARTpool (Cat. L-012691-01-

0010), ON-TARGETplus Human AMY2B siRNA-SMARTpool (Cat. L-015880-01-0010), and

ON-TARGETplus Human AMY2A siRNA-SMARTpool (Cat. L-016978-01-0010) or ON-

TARGETplus Non-targeting scramble siRNAs (Cat. D-001810-01-0010) GE Healthcare

Dharmacon (Lafayette, CO). The SMARTpool is a mix of four siRNAs provided as a single

reagent. Cells were plated in 6 well plates, serum starved overnight then treated with 145 pmol

siRNA per well incubated with Lipofectamine 3000 Transfection Reagent (Invitrogen, Madison,

84

WI, United States) according to the manufacturer’s instructions. Transfection efficiency was

determined by transfecting cells with pmaxGFP™ Control Vector (Cat. VCA-1003) Lonza (Basel,

Switzerland). Transfected cells were maintained for 48 h before further experiments, unless

otherwise described.

Invasion assay

Cells were incubated on type I collagen coated transwells (CytoSelect 96-Well Cell Invasion

Assay, catalog number: CBA-112-COL (San Diego, CA)) for 24 hours. Following incubation,

cells that had invaded through the collagen gel and onto the transwell membrane insert were

stained with 0.1% crystal violet solution and photographed using an Olympus DP20 digital camera

(Burnaby, BC, Canada) under a Leica DMIRE2 microscope. The number of cells that invaded the

transwell was then counted and subjected to statistical analysis.

Glycosaminoglycan (GAG)/proteoglycan quantification assay

GAG content was determined using a Blyscan colorimetric assay (Biocolor Assays, County

Antrim, BT38 8YF, United Kingdom). After transfection with amylase siRNA, and scramble

RNA, 7x106 IOSE-121 and OVCAR5 cells were digested in a papain extraction reagent. The GAG

content in each sample was detected with spectrometry at 656 nm after precipitation and dye

binding of GAG according to the manufacturer’s instructions. A standard curve was created using

controls according to the manufacturer’s instructions.

Immunogold staining

For immunogold staining, cells were grown on coverslips and prepared for TEM analysis

as described earlier. Sectioned grids of cells were incubated in 4% w/v aqueous sodium

metaperiodate for two minutes, washed multiple times in water, blocked in PBSG (PBS containing

0.001% (v/v) Tween 20 and Triton X-100 and 1% (w/v) gelatin from cold water fish) for 10

85

minutes before incubation overnight in 6ug/ml anti-salivary alpha amylase antibody (Cat. ab54765

Abcam (Cambridge, MA)). The grids were then washed twice in PBS then eight times in water

before a two-hour incubation in goat-anti-mouse IgG (H&L) conjugated to 15nm colloidal gold

particles 1:40 (Cat. 25133 Electron Microscopy Sciences (Hatfield, PA)). The grids were rinsed in

H2O for 30-40 sec then counterstained in uranyl acetate (saturated) in 50% methanol for 2 minutes.

To confirm the specificity of the primary antibody, non-immune goat IgG were used as negative

control in place of primary antibody. The cells were then viewed by TEM.

Statistical analyses

For real time PCR, error bars illustrate RQmin and RQmax, which were calculated as: RQave

divided by (standard deviation^ student’s t value at the 95% confidence interval, for 5 degrees

freedom) and RQave times (standard deviation^ student’s t value at the 95% confidence interval,

for 5 degrees of freedom), respectively. This range represents the 95% confidence level. For

amylase activity assay, amylase ELISA, GAG assay and invasion assay, student’s t test was

performed to assess statistical difference between means of triplicates ± standard error. P-values ≤

0.05 were considered statistically significant.

Results:

Confirmation of yeast-free cell cultures.

Since cell culture contaminants, including commensal yeast, can produce amylase, it was

necessary to ensure that cell lines used for this study were free of microbial contaminants.

Examination of cell cultures by light microscopy did not detect presence of yeast in any cultures.

However, for more stringent examination, IOSE and OC cell lines were examined by TEM for

possible yeast contamination. IOSE-121, HIO118, SKOV3, OV-90 and OVCAR5 were found to

86

be free of yeast, while yeast was found in CaOV3 and IGROV (Figure 3.1). I replaced the yeast-

infected cell lines with yeast-free cell lines as validated by TEM visualization.

A. CaOV3:

B. IGROV:

Figure 3.1. Establishing cell cultures are free of yeast. Cells cultures were examined by TEM

to detect microbial contamination, including yeast. Representative photographs illustrate

endogenous yeast (arrows) in CaOV3 (A) and IGROV (B) ovarian cancer cell lines.

87

OC cells overexpress amylase in vitro.

Computational analyses predicted that AMY1 and AMY2B would be overexpressed in OC

(Chapter 2). A panel of cell lines was used to confirm which amylase isozymes are overexpressed

in established OC cell lines as well as from other cancer types at the message level using qPCR

(Figures 3.2 and 3.3) and at the protein level using western immunoblotting (Figure 3.4). At the

message level, there were variable levels of amylase expression in OC and normal cell lines (Figure

3.2). Moderate levels of AMY1 and AMY2B RNA were expressed in MCC3, while IOSE-121

essentially only expressed AMY1 RNA. As defined by the average signal ratio of

amylase/GAPDH in IOSE cells, only 2/5 (40%) of OC cell lines, OVCAR5 and IGROV,

overexpressed amylase AMY1 and AMY2B to a greater extent than IOSE cells. Though

expressing small levels of amylase message, SKOV3, OV-90, and TOV21G were shown to

express AMY1 and AMY2B RNA. Likewise, there was no clear pattern of which amylase isozyme

is overexpressed in other cancer types at the RNA level (Figure 3.3). Whereas human dermal

fibroblast (HDF) most notably expresses AMY1 RNA, lung cancer cells H2009 displayed an

overexpression of amylase AMY1 and AMY2A while amylase RNA was not detected in H69

cells. Likewise, colorectal cancer WiDr cells displayed an overexpression of amylase AMY1 and

AMY2B while SW626 cells expressed negligible amounts of AMY1. Similarly, cervical cancer

cells (Hela, C13) expressed small amounts of AMY1 and AMY2B. Cells lines representing breast

cancer, head and neck cancer, glioblastoma and pancreatic cancer expressed negligible amounts

of amylase although when detected, these cell lines preferentially expressed AMY1 RNA and,

occasionally, AMY2B (Figure 3.3).

88

At the protein level, all OC cell lines examined, TOV21G (8x for AMY1 and 4x for AMY2B),

OV-90 (13x for AMY1 and 8x for AMY2B), OVCAR5 (10x for AMY1 and 20x for AMY2B),

SKOV3 (5x for AMY1 and 16x for AMY2B) and IGROV (3x for AMY1 and 9x for AMY2B),

Figure 3.2. Amylase AMY1 and AMY2B RNA are typically expressed in OC cell lines.

Cellular RNA was collected from IOSE and OC cells and analyzed by qPCR to determine

AMY1, AMY2A, and AMY2B message expression. Data are expressed as the average ratio of

amylase isozyme expression to control GAPDH mRNA from triplicate samples.

0

0.0001

0.0002

0.0003

0.0004

0.0005

0.0006

0.0007

0.0008

0.0009

0.001

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

IOSE-121 MCC3 OVCAR5 SKOV3 OV-90 TOV21G IGROV

HOSE Cells OC

Rat

io o

f A

MY/

GA

PD

H m

RN

AAmylase messenger level in ovarian cells

Figure 3.3. Most non-OC cell types express AMY1 and AMY2B RNA. Cellular RNA was

collected from HDF and representative cancer cells and analyzed by qPCR to determine AMY1,

AMY2A, and AMY2B message expression. Data are expressed as the average ratio of amylase

isozyme expression to control GAPDH mRNA from triplicate samples.

0

0.0005

0.001

0.0015

0.002

0.0025

0.003

0.0035

0.004

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

HDF H2009 H69 WIDR SW626 MDA231 MCF7 HN5A U373MG HELA OV2008 C13 PANC1

Fibroblast Lung Ca Colorectal Ca Breast Ca H&N Ca Glioma Cervical Pancreatic Ca

Rat

io o

f A

MY/

GA

PD

H m

RN

A Amylase messenger level in other cancer types

89

expressed 3x-20x more amylase AMY1 and AMY2B protein relative to IOSE-121 and IOSE-144

cells (Figure 3.4, Table 3.1). With the exception of U373MG, MDA231 and H2009 cells, cells

representing other cancer types, also expressed more AMY1 and/or AMY2B protein relative to

HDF. That is, breast cancer MCF7 (7x), colorectal cancer WIDR (2x) and SW626 (12x), pancreatic

cancer PANC1 (9x) and cervical cancer Hela (3x) overexpress AMY1; colon cancer cell line

SW626 (114x), and pancreatic cancer cell line PANC1 (137x) cells overexpress AMY2A. Breast

cancer cell line MCF7 (214x), colorectal cancer cell lines WIDR (74x) and SW626 (475x),

glioblastoma cell line U373MG (20x), pancreatic cancer cell line PANC1 (412x), and cervical

cancer cell line HELA (200x) overexpressed AMY2B (Figure 3.4, Table 3.1). Overall, protein

levels of the amylase isozymes were greater in cancer cell lines than normal cells and the amylase

isozymes most typically expressed are AMY2B and AMY1. Analysis of amylase at the protein

level showed that AMY1 and AMY2B are consistently elevated in OC cells, whereas, other cancer

types don’t show consistent amylase overexpression.

Figure 3.4: AMY1 and AMY2B protein are overexpressed in OC cell lines (Continued on Next

Page)

IOSE

-12

1

IOSE

-14

4

TOV

21

G

OV

-90

O

VC

AR

5

SKO

V3

IGR

OV

AMY1A

AMY2A

AMY2B

ACTIN

HD

F M

DA

23

1

MC

F7

WID

R

SW6

26

U3

73

MG

H2

00

9

PAN

C1

HEL

A

90

Figure 3.4. AMY1 and AMY2B protein are overexpressed in OC cell lines. HDF, IOSE and a

panel of cancer cells were subjected to western blot to determine the expression of amylase

isozymes at the protein level (upper panel). Densitometry analysis of was used to determine

the intensity ratio of amylase isozyme band signal to respective loading control actin bands

and are shown in corresponding lower panels.

0

0.2

0.4

0.6

0.8

1

1.2

1.4

1.6

1.8

2

IOSE-121 IOSE-144 TOV21G OV-90 OVCAR5 SKOV3 IGROV

Rat

io o

f am

ylas

e to

act

inDensitometry of amylase in OSE and OC cells

AMY1 AMY2A AMY2B

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

HDF MDA231 MCF7 WIDR SW626 U373MG H2009 PANC1 HELA

Rat

io o

f am

ylas

e to

act

in

Densitometry of amylase in other cancer types

AMY1 AMY2A AMY2B

91

Table 3.1: AMY1 and AMY2B are typically overexpressed in cancer cells

Cancer type Cell line Amylase isozyme overexpressed

Ovarian TOV21G AMY2B

Ovarian OV-90 AMY1, AMY2A and AMY2B

Ovarian OVCAR5 AMY2B

Ovarian IGROV AMY2B

Breast MCF7 AMY1 and AMY2B

Colorectal SW626 AMY1 and AMY2B

Glioblastoma U373MG AMY2A

Lung H2009 AMY1 and AMY2A

Pancreas Panc1 AMY1 and AMY2B

Cervical Hela AMY1, AMY2A and AMY2B

Amylase secreted by OC cells is metabolically active.

To determine the proportion of amylase that remains in cell lysates and the proportion that

is secreted into the media, cytoplasmic lysates from IOSE-121, IOSE-144, OVCAR5 and SKOV3

cells and their respective CCM of equivalent 104 cells were subjected to an amylase ELISA.

Normal cells IOSE-121 (total 3 ng/ml) and IOSE-144 (total 2.26 ng/ml) produced negligible

amounts of amylase protein in cell lysate and CCM, whereas OVCAR5 (total 47.9 ng/ml) and

SKOV3 (total 8.9 ng/ml) produced 3x to 16x more amylase than normal cells with the majority of

amylase produced by OC cells secreted into their conditioned medium (Figure 3.5)

92

To determine if secreted amylase was metabolically active, CCM from a panel of cancer

cell lines was subjected to the amylase activity assay. All cancer cell lines secreted active amylase

ranging from 0.7 mU/ml to 10 mU/ml. Cervical cancer cell lines secreted active amylase ranging

from 0.7 mU/ml to 10.5 mU/ml, averaging 4.9 mU/ml. Lung cancer cell lines secreted active

amylase ranging from 2.6 mU/ml to 3.7 mU/ml, averaging 3.2 mU/ml (Figure 3.6). Levels of

amylase activity by IOSE cells ranged from 1.5 to 3.7, averaging 2.4 mU/ml. OC cells secreted

metabolically active amylase to a greater extent than IOSE cells, ranging from 5.1 mU/ml to 34.2

mU/ml, averaging 11.2 mU/ml so that OC cells secreted up to 4x more active amylase compared

to normal OSE cells (Figure 3.6). Interestingly, only the glioblastoma (U373MG) and a single

cervical cancer cell line (C13) secreted greater amounts of metabolically active amylase (6.5 &

10.5 mU/ML) than IOSE cells. All other remaining cancer cell lines examined secreted amounts

of metabolically active amylase within a similar range seen in IOSE cells.

Figure 3.5. OC cells produce more amylase than normal cells. Cell lysates and their CCM were

subjected to amylase elisa to determine the amounts of amylase in cell lysates and secreted into

the cell media. Data are expressed as the average of triplicates ± standard deviation (*P < 0.05).

0

10

20

30

40

50

60

IOSE-122 IOSE-144 OVCAR5 SKOV3

ng/

ml a

myl

ase

pro

tein

Cell lysate CCM

*

*

93

Inhibiting amylase decreases OC invasion.

To begin to understand how amylase promotes OC progression, I investigated whether

abrogation of amylase affected the invasive capacity of OC cells using collagen coated Boyden

chambers. Amylase knockdown was performed using pooled amylase siRNAs targeting all

amylase isozymes. Amylase knockdown was validated by qPCR for amylase mRNA levels

(Figure 3.7A). Compared to untreated cells, siAMY abrogated AMY1 and AMY2B RNA levels

in OVCAR5 cells up to 3.7x and 7.8x, respectively. While scramble RNA inhibited AMY2B to

a lesser extent than siAMY, it did not alter AMY1 expression. As determined by parallel GFP

signals, transfection efficiency in OVCAR5 and IOSE 121 was determined to be 80% and 76%,

respectively. Amylase knockdown reduced OC cell invasion especially in SiAMY-treated OC

0

5

10

15

20

25

30

35

40m

U/m

l (*

10

-7)

amyl

ase

Lung

cancer

Cervical

cancer

Normal HOSE

OC

Figure 3.6. OC cells secrete more metabolically active amylase than IOSE cells. CCM,

equivalent to 104 cells, was subjected to the amylase activity assay. Results are expressed as

the average amylase activity in mU/ml, normalized for cell number from triplicate samples

± SE.

94

cell line OVCAR5 by 32% (Figure 3.7B). Scramble RNA did not alter invasive capacities of

OC cells. Since IOSE121 cells have little amylase expression, reduction of their amylase

expression did not significantly affect IOSE121 invasion (Figure 3.7). After transfection, cell

numbers did not change, therefore, amylase does not affect cell proliferation. Cells were

counted after transfection with scramble RNA and amylase SiRNA for 48 hours and an

insignificant percent change ranging from 0.5% to 5.3% was noted.

The glycocalyx of OC cells is thicker than the glycocalyx of IOSE cells:

Given that amylase appears to mediate OC cell invasion and that amylase is an extracellular

metabolically active enzyme, I proceeded to examine whether amylase could modulate the

ECM/tumor microenvironment. To begin, IOSE121 cells and OC cells were examined by TEM

to determine the thickness of their respective glycocalyces. As shown in Figure 3.8, the average

glycocalyx thickness measured from 10 fields of IOSE-121, IGROV, and CAOV3, OVCAR5 and

SKOV3 was 83.7 nm, 207.4 nm, 264.8 nm, 257.2 nm, and 263 nm, respectively. The glycocalyces

of OC cells, then, were 2.4x to 3.2x thicker than the glycocalyx of IOSE121 cells (Figure 3.8).

In order to localize amylase to the OC cell surface and/or its immediate ECM, immunogold

labeling for amylase was performed. Immunogold labeling illustrated the presence of anti-amylase

gold particles in OVCAR5 cells (Figure 3.9). Immunogold particles appeared localized at the

external cell membrane and within the immediate tumor microenvironment. Control sections failed

to demonstrated presence of immunogold particles.

95

Figure 3.7. Abrogation of amylase reduces invasion in OC cells. A) IOSE121 and OVCAR5

cells were treated with siRNA targeting amylase and scramble RNA as control. Verification

of siRNA efficiency was validated by qPCR. B) Treated cells were then seeded into invasion

assay chambers and number of invasive cells were evaluated after 24-hour incubation. Results

are expressed as the average relative fluorescence (a measure of the number of invasive cells)

from triplicate samples ± SE (*P < 0.05).

0

0.0001

0.0002

0.0003

0.0004

0.0005

0.0006

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

Untreated scramble RNA AmylaseSiRNA

Untreated scramble RNA AmylaseSiRNA

IOSE-121 OVCAR5

Rat

io o

f am

ylas

e/G

AP

DH

mR

NA

A

0

5000

10000

15000

20000

25000

30000

35000

40000

Untreated Scramble RNA AmylaseSiRNA

Untreated Scramble RNA AmylaseSiRNA

IOSE-121 OVCAR5

Inva

sio

n (

rela

tive

flu

ore

sce

nce

)

Abrogating amylase reduces invasion

*

B

96

Fig

ure

3.8

. T

he

gly

coca

lyx

of

OC

cel

ls i

s th

icker

than

IO

SE

cel

ls.

IOS

E a

nd O

C c

ells

wer

e

exam

ined

b

y

TE

M

for

vis

ual

izat

ion

of

thei

r re

spec

tive

gly

coca

lyce

s.

Rep

rese

nta

tive

photo

gra

phs

IOS

E a

nd O

C m

orp

holo

gy a

t th

e ult

rast

ruct

ura

l le

vel

(upper

pan

el)

and r

espec

tive

gly

coca

lyce

s as

dep

icte

d w

ith l

ines

(lo

wer

pan

el).

8

3.7

207.4

264.8

2

57.2

263

Av

erag

e gly

coca

lyx

thic

knes

s (n

m)

mea

sure

d f

rom

10

fie

lds

OS

E-1

21

IG

RO

V

C

AO

V3

O

VC

AR

5

SK

OV

3

120K x magnification

5K

x

1

0K

x

6K

x

1

5K

x

8K

x

97

Figure 3.9 Amylase can be localized to the OC cells glycocalyx/cell surface. OVCAR5 cells

were examined by TEM following immunogold labeling with anti-AMY antibodies (upper

panel) or serum controls (lower panel).

98

Inhibiting amylase increases GAG production.

In order to better understand how extracellular amylase could promote OC cell invasion,

IOSE-121 and OVCAR5 cells were treated with scramble RNA and siRNA targeting amylase and

subjected to the Blyscan Sulfated Glycosaminoglycan Assay to measure sulfated glycan

(proteoglycans and glycosaminoglycans) content at the same time as my Boyden chamber

experiments. Successful validation of transfection is shown in Figure 3.7A. Abrogating amylase

in IOSE-121 cells slightly increased cellular GAG content over untreated IOSE-121 cells from

0.11 ug GAG to 0.33 ug GAG. In contrast, abrogating amylase increased cellular GAG levels in

OVCAR5 over untreated or scramble RNA treated cells from 1.382 ug to 3.787 ug (Figure 3.10).

0

0.5

1

1.5

2

2.5

3

3.5

4

Control Scramble RNA Amylase SiRNA Control Scramble RNA Amylase SiRNA

IOSE-121 OVCAR5

Tota

l ug

sGA

G

sGAG increases after abrogating amylase expression

Cell lysate

Figure 3.10 Amylase promotes GAG digestion. IOSE 121 and OVCAR5 cells were treated

with scramble RNA and amylase siRNA and subjected to the sulfated glycosaminoglycan

assay. Results are expressed as the total ug of GAGs from triplicate samples ± SE (*P < 0.05).

*

99

Discussion:

Amylase (originally known as ptyalin) was discovered in 1831 [347] and has been

extensively studied since its isolation in 1862 from pancreatic trypsin [348]. Since Weiss et al.

(1950s) reported a case of an amylase-producing tumor, multiple cases of cancer-associated

hyperamylasemia have been reported although hyperamylasemia appears limited to few types of

cancers [273] Nonetheless, hyperamylasemia has been strongly associated with lung cancer,

ovarian cancer, multiple myeloma and pheochromocytoma cancers [349]. Hyperamylasemia is

typically asymptomatic and its cause, isozyme profile and contribution to cancer progression are

still unknown. Salivary amylase (AMY1) and pancreatic amylase (AMY2B) have both been

proposed to be overexpressed in cancer. AMY2A has also been proposed to be a tumor suppressor

gene; mutation, deletion, or silencing of AMY2A may lead to malignant transformation in gastric

cancer [350]. Since OC remains the most lethal gynecologic cancer, studies on the contribution of

hyperamylasemia to OC are warranted, but require the establishment of an appropriate model

system.

Potentially owing to differences in reproductive physiology, humans are the only animals in

which OC occurs with regular frequency. Laying hens are the only animals that spontaneously

develop OC, therefore, a laying hen model of OC was characterized to determine its validity as an

in vivo model of OC [351]. Laying hens spontaneously developed serous, endometrioid, mucinous

and clear cell ovarian carcinomas with staging, histology and metastatic characteristics similar to

human OC conditions. However, laying hens only have one ovary, making staging ovarian cancer

more challenging in hens. Also, lymph nodes in chickens are not well organized so OC metastasis

in laying hens is not reflective of OC in humans [351]. Rabbit models for papillogenesis may be

informative for the very early stages of ovarian tumor growth, but these benign conditions

100

indicative of hyper-proliferative events do not progress to full malignant transformation [352].

Current mouse models of OC are also of limited use because they either employ intraperitoneal

(IP) or subcutaneous xenografts or are of genetic backgrounds that do not produce ovarian tumors

that histologically reflect serous adenocarcinoma of the human ovary. Of note, the most common

mouse models of OC employ xenograft model types which are effective in mimicking different

aspects of OC growth and metastasis. However, xenograft models do not reflect the initial

transformation events that lead to OC tumorigenesis. Genetically engineered mouse models

(GEMM) are important for investigating early changes that lead to OC; however, GEMMs are

complicated to generate due to lack of knowledge on OC etiology [353]. Therefore, I chose to use

an in vitro model system using established human cells lines to study the contribution of amylase

to OC progression. While a number of OC cell lines have been established and many are

commercially available, an important advantage for using an in vitro model for studies on the role

of amylase for OC progression is that normal control cell lines derived from pure human ovarian

surface epithelium and transfected with SV-40 large T antigen for enhanced lifespan are also

available. As a result, studies using IOSE cell lines have shown the capacity of OSE cells to

produce, lyse and reconstruct extracellular matrix components [344,345,354] and a demonstration

that OSE has the capacity to undergo epithelial-mesenchymal conversions [355].

As predicted in chapter 2, using cell lines devoid of yeast contamination, I found increased

protein levels of amylase AMY1 and AMY2B in OC cell lines. In addition, since the majority of

amylase produced by OC cells was both secreted and metabolically active, so these cell lines

represent a valid model system to pursue studies on the biological and molecular contribution of

amylase to OC disease.

101

The glycocalyx is the outermost layer of the cell composed of a negatively charged web of

enzymes, proteins, and glycoconjugates—one or more glycan units covalently bound to non-

carbohydrate units. Glycoconjugates include glycosaminoglycans (GAGs), glycoproteins,

glycolipids, and proteoglycans [356]. The glycocalyx is associated with many functions including

mediating cell-to-cell and cell-to-matrix interactions [357]. It also mediates ligand-receptor

interactions and other biological processes including specific recognition events. During malignant

transformation, atypical glycocalyx component expression and structure influences tumor

progression [356] by enhancing tumor growth, adhesion, motility, and invasion [358]. The

glycocalyx is also proposed to facilitate cancer progression [356] and cancer metastasis [359].

There is a correlation between glycoconjugates present at the cell membrane and the metastatic

potential of a cell [360]. A denser glycocalyx may promote more receptor interaction and lead to

more adhesion and migration of tumor cells [358]. It is also believed that the bulky glycocalyx of

malignant cells may serve a drug-resistant function by acting as a barrier against therapeutic agents

[358]. My survey of OC cell lines indicated that cancer cell lines have a bulkier glycocalyx

compared to normal IOSE cells.

Quintarelli et al. found that amylase degraded the glycan moieties that crosslink collagen

fibrils, therefore disassociating collagen fibrils and allowing for collagen degradation [361,362].

Inhibition of amylase decreased the ability of OC cells to invade collagen coated Boyden

chambers, thereby identifying a functional behavior of amylase to promote OC progression.

Amylase secreted by OC cells may, therefore, degrade the glycosylation links that play a role in

linking collagen fibrils to facilitate OC cell invasion. The role of amylase in the glycocalyx is

further supported by the presence of amylase in the glycocalyx and ECM as indicated with

immunogold studies. Amylase in the glycocalyx and ECM suggests that amylase may modify the

102

ECM to promote invasion. Amylase, which cleaves alpha 1, 4-glycosidic bonds in polysaccharides

to initiate carbohydrate metabolism and contribute to energy production, can also play a role in

ECM remodeling by cleaving polysaccharide moieties in the tumor microenvironment. Amylase

has already been shown to degrade connective tissue in bacterial biofilm in wounds [228].

In summary, to test the hypothesis that secreted amylase may modify the cancer cell glycocalyx

by digesting α1, 4-glycosidic bonds [235] found in glycosaminoglycans, which in turn leads to

altered downstream signaling that promotes proliferation, survival or migration/invasion, an in

vitro model to explore the contribution of hyperamylasemia to OC was established by analyzing

amylase message and protein levels from a panel of established cell lines. The activity of amylase

in cell lysates and conditioned concentrated media was also investigated. Lastly, to begin to

explore the contribution of hyperamylasemia to OC, the in-vitro model established was used to

determine how amylase contributes to OC cell invasion.

103

Chapter 4

Regulation of Amylase by Spirulina

Introduction

Using an in vitro model system, I have been able to demonstrate that elevated levels of

amylase in OC cells lines, representing hyperamylasemia, may drive disease progression, at least

in part, by promoting cellular invasion related to alterations in the tumor microenvironment

(Chapter 3). Amylase, then, may serve as a novel target for therapeutic intervention in OC patients

with hyperamylasemia. However, commercially available amylase inhibitors typically inhibit

amylase activity at the protein level and produce a variety of adverse gastrointestinal side effects

such as flatulence, abdominal distension, and diarrhea [363]. Therefore, there is a need for the

development of new amylase inhibitors. Spirulina, a dietary supplement, has recently gained

popularity with many health claims including that it enhances immunity, controls high blood

pressure and serum cholesterol levels and has anti-tumorigenic, anti-inflammatory and anti-

oxidant properties [364,365]. Spirulina is also associated with neuro-protective properties, as has

been shown by reduced ischemic brain damage in rats, improved post-stroke locomotor activity

and reduced levels of pro-inflammatory cytokines in the brain [366–368].

There are several species of the microalgae spirulina: Spirulina platensis, Spirulina

fusiforme, and Spirulina maxima. Spirulina has been used as a food source for centuries; with the

104

earliest recorded human consumption of spirulina by the Chadiansa of Africa and Aztecs of

Mexico [369]. Spirulina is a good nutritional source because of its high protein content; 60-70%

and 5-10% of spirulina’s dry weight is protein and lipid, respectively. Further, the protein in

spirulina is complete, meaning it contains all the essential amino acids. Spirulina also contains

many essential fatty acids (gamma-linolenic, linoleic and oleic acids) and, lastly, spirulina contains

high levels of vitamin B12, beta-carotene, phycocyanin, superoxide dismutase, iron, calcium and

phosphorous [369,370].

In this chapter, I propose employing spirulina or phycocyanin, one of the active ingredients

in spirulina with high anti-inflammatory potential [371], as novel transcriptional inhibitors of

amylase. By determining whether spirulina can inhibit OC cell invasion without cytotoxicity to

normal cells, a novel clinical use for spirulina will be established.

Materials and Methods

Tissue Culture

The following human cell lines were used: normal human dermal fibroblasts HDF; SV 40-

Large T-Antigen transfected human ovarian surface epithelial (IOSE) cell lines MCC3, IOSE-80,

IOSE-121, and IOSE-144 [344,345]; OC cell lines CaOV3, OVCAR5, OV-90, SKOV3, TOV21G

and IGROV; colorectal cancer cell lines WiDr and SW626; breast cancer cell lines MDA-MB-

231, MDA-MB-231, MCF7; head and neck cancer cell line HN5α [346]; cervical cancer cell line

Hela; pancreatic cancer cell line Panc1; lung cancer cell lines NCI-H2009 and H69; and

glioblastoma U373MG cells. Cells were cultured in Medium 199/MCDB 105 (Sigma, St. Louis,

MO) with 5% fetal bovine serum (FBS) and gentamicin and incubated at 37°C with 5% CO2.

Conditioned media was concentrated (CCM) using Centriprep Centrifugal Filter Devices (Ultracel

105

YM-3 Cat.4302 Merck Millipore Ltd, Tullagreen, Ireland). Cell lines were treated with ± 0-150

ug/ml spirulina (kindly provided by Dr. P Bickford, USF) or 1-100 ug/ml phycocyanin (Catalog

number: P2172-25MG; Sigma Aldrich; St. Louis, MO) for 0-72 h.

Microarray

HN5α cells were treated for 24h ± 100ug/ml spirulina, RNA collected, reverse transcribed,

amplified and labeled with biotin at the H. Lee Moffitt Cancer Center Microarray core facility.

Biotin-labeled DNA was applied to Human Genome U133A Affymetrix chips and analyzed using

Affymetrix Microarray MAS 5.0 software to identify increased and decreased gene expression at

p < 0.005.

Quantitative PCR

Cells were treated with TRIzol reagent from Invitrogen (Carlsbad, CA) and ribonucleic acid

(RNA) was isolated according to the manufacturer’s instructions. To generate single-stranded

complementary DNA (cDNA), the Applied Biosystems GeneAmp RNA polymerase chain

reaction (PCR) Core Kit (Foster City, CA) was used with 3 ug/mL total RNA using a Biometra

UNO-thermo-block and Perkin-Elmer-GeneAmp PCR system 9600. qPCR was carried out with

SYBR Green Universal Master Mix (Applied Biosystems), cDNA, and primers. Primers used were

AMY1A (GeneCopoeia: Hs-QRP-21480), AMY2A (GeneCopoeia: Hs-QRP-21450), AMY2B

(GeneCopoeia: Hs-QRP-21451), and GAPDH (GeneCopoeia: Hs-QRP-20169) as control.

Sequences for the amylase primers remain the proprietary property of GeneCopoeia. Amplification

was performed with 40 cycles of denaturation (95°C, 10 sec), annealing (60°C, 20 sec), and

extension (72°C, 15 sec) using a Bio-RAD Chromo4 Real Time PCR Detector using Opticon

Monitor 3 program. Levels of amylase was normalized to the GAPDH message values and the

fold difference was determined by dividing the threshold cycle (Ct) value by the reference sample.

106

Western blot

Cells were washed in PBS, trypsinized, pelleted, rewashed with PBS and counted. Cells were

lysed in CHAPS buffer for 30 minutes on ice before being centrifuged at 115,000 x g, at 4°C for

1h. Twenty ug of protein were separated by a 10% sodium dodecyl sulfate polyacrylamide gel

electrophoresis (SDS-PAGE). Proteins were transferred to Polyvinylidene fluoride (PVDF)

membranes, washed in Tween 20-Tris buffered Saline (TBST), and blocked in 5% milk in TBST

or PBST. Blots were incubated in their respective primary antibodies overnight, followed by

incubation with a horseradish peroxidase (HRP)-conjugated secondary antibody (Fisher,

Pittsburgh, PA), and developed via FEMTO Cat. 34095 Life Technologies (Grand Island, NY).

Antibodies used were: AMY1A (1:1000) Cat.H00000276-M04 Abnova (Taipei City, Taiwan);

AMY2A (1:500) 15845-1-AP Proteintech (Chicago, IL); AMY2B (1:2000) Cat. LS-C173958

LSBio (Seattle, WA); Beta Actin Loading Control Antibody (BA3R) (1:10,000) Cat. # MA5-

15739 Thermo Scientific (Rockford, IL). Densitometry was performed using ImageJ software to

normalize amylase band strength to their respective actin band.

Amylase ELISA

To measure amylase protein levels, 100ul of cytoplasmic lysate and CCM of equivalent cell

number (104/well) were assayed in triplicate using the quantitative double sandwich enzyme-

linked immunosorbant assay (Amy-p ELISA Kit; catalog number: MBS264855; MyBioSource,

San Diego, CA) according to the manufacturer's instructions. Absorbance was read on a Microplate

Reader BioTek ELx800 (Winooski, Vermont) using Gen5 Data Analysis Software (Biotek,

Winooski, Vermont). Resultant values were derived from a standard curve and expressed as the

mean amylase concentration of triplicate samples.

107

Invasion assay

Spirulina treated cells were incubated on type I collagen coated transwells (CytoSelect 96-

Well Cell Invasion Assay, catalog number: CBA-112-COL (San Diego, CA)) for 24 hours.

Following incubation, transwell filters were stained with a 0.1% crystal violet solution and

photographed using an Olympus DP20 digital camera (Burnaby, BC, Canada) under a Leica

DMIRE2 microscope. The number of cells that had migrated through the collagen cell and across

the transwell membrane was then counted.

MTS assay

Cell growth and cytotoxicity were determined by the MTS assay (Promega, Madison, WI)

according to the manufacturer's directions. Cells (1 × 103) were seeded in 96-well plates and grown

in Medium 199/MCDB 105 (Sigma, St. Louis, MO) containing 0.1% FBS. Cells were treated with

varying concentrations of spirulina (0ug/ml, 50ug/ml, 100ug/ml, 150ug/ml). Absorbance was read

nm using a multi-well plate reader (BioTek, Winooski, VT, USA) every 24 hours for 72 hours.

The samples were assayed in two separate experiments, each in triplicate and the results were

expressed as the mean ± standard error.

Statistical Analyses

For real time PCR, error bars illustrate RQmin and RQmax, which were calculated as: RQave

divided by (standard deviation^ student’s t value at the 95% confidence interval, for 5 degrees

freedom) and RQave times (standard deviation^ student’s t value at the 95% confidence interval,

for 5 degrees of freedom), respectively. This range represents the 95% confidence level. For

amylase activity assays, ELISA, MTS, and invasion student’s t test was performed to assess

statistical difference between means of triplicates ± standard error.

108

Results

Amylase is a downstream target of spirulina.

In order to screen for downstream targets of spirulina, an Affymetrix microarray was

performed on spirulina treated HN5α cells. The results indicated that spirulina downregulated all

amylase isozyme expression at least 2.5 fold. Spirulina also suppressed expression of multiple

transcription factors predicted to regulate amylase gene expression (Chapter 2) including C/EBP

alpha, C/EBP delta, Zic1 and POU1F1 (Table 4.1).

Table 4.1: Spirulina transcriptionally targets amylase

Gene Fold change

AMY1A, AMY1B, AMY1C, AMY2A, AMY2B, ACTG1P4, AMYP1 -2.62

AMY1A, AMY1B, AMY1C, AMY2A, AMY2B -2.5

AMY1A, AMY1B, AMY1C, AMY2A, AMY2B, ACTG1P4, AMYP1 -2.5

CCAAT/enhancer binding protein (C/EBP), alpha -1.18

CCAAT/enhancer binding protein (C/EBP), delta -1.15

Zic1 -1.05

POU1F1 -1.19

Spirulina downregulates amylase mRNA expression in OC cell lines.

To confirm that spirulina inhibits amylase expression, a panel of cancer cell lines was

treated ± 100ug/ml spirulina and amylase expression was measured using qPCR. While spirulina

downregulated amylase expression in normal human dermal fibroblasts between 43% (AMY2B)

to 95% (AMY2A) among the amylase isozymes, the pattern of spirulina-mediated inhibition of

amylase expression varied among cancer cell types (Figure 4.1).

Spirulina significantly downregulated the expression of all amylase isozymes by 46% to

99% in colon cancer cells (WIDR and SW626) and by 57% to 77% in breast cancer cells MDA231,

but it actually increased amylase isozyme expression by 1302% for AMY1, 79418% for AMY2A,

109

and 588% for AMY2B in MCF7 breast cancer cells. Similarly, spirulina increased amylase

isozyme expression by 511% to 1875% in glioblastoma cells U373MG. Spirulina also

downregulated amylase isozyme expression by approximately 80% in cervical cancer cells Hela.

Spirulina downregulated AMY1 (43%) and AMY2A (82%) expression in pancreatic cancer cells

PANC1, but increased AMY2B (200%) expression. In addition, spirulina downregulated at least

two amylase isozymes in lung cancer cells (H2009) by 54%.

In contrast, spirulina consistently downregulated amylase expression in amylase positive OC

cells with spirulina-mediated inhibition of AMY1 and AMY2B, ranging from 6% to 99% (Figure

4.2). However, spirulina did not significantly decrease small endogenous levels of amylase

expression in IOSE-121 (Figure 4.2).

Spirulina downregulates amylase protein expression in OC cell lines.

Since RNA levels do not always accurately reflect target protein levels, to determine if

spirulina-mediated inhibition of amylase could be detected at the protein level, cells were treated

with 100ug/ml spirulina for 24 hours and protein amylase isozyme expression was determined

using western blot. While there was no significant change in amylase protein levels in IOSE-121

cells after spirulina treatment (Figure 4.3), spirulina reduced AMY1 protein levels in OVCAR5

and OV-90 cells by 23% and 26%, respectively; spirulina reduced AMY2A protein levels in

OVCAR5 and OV-90 cells by 51% and77%, respectively and spirulina reduced AMY2B protein

levels in OVCAR5 and OV-90 cells by 25% and 43%, respectively.

110

Fig

ure

4.1

. S

pir

uli

na

dow

nre

gula

tes

most

am

yla

se i

sozy

mes

in c

ance

r ce

lls.

Cel

ls t

reat

ed ±

100 u

g/m

l sp

iruli

na

wer

e su

bje

cted

to

qP

CR

to d

eter

min

e am

yla

se i

sozy

me

exp

ress

ion.

Dat

a ar

e ex

pre

ssed

as

the

rati

o o

f am

yla

se i

sozy

me

signal

to G

AP

DH

.

111

Figure 4.2. Spirulina transcriptionally downregulates amylase in OC cell lines. Cells treated

± 100 ug/ml spirulina treatment were subjected to qPCR to determine amylase isozyme

expression. Data are expressed as the ratio of amylase isozyme signal to GAPDH.

0

0.0001

0.0002

0.0003

0.0004

0.0005

0.0006

0.0007

0.0008

0.0009

0.001

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

IOSE-121 IOSE-121 +100ug/mlspirulina

OV-90 OV-90 +100ug/mlspirulina

TOV21G TOV21G +100ug/mlspirulina

IGROV IGROV +100ug/mlspirulina

OVCAR5 OVCAR5 +SPIR

Rat

io o

f A

MY/

GA

PD

H m

RN

A

Figure 4.3. Spirulina reduces amylase protein levels in OC cell lines. Cells treated ± 100

ug/ml spirulina were subjected to western blot analysis to determine amylase isozyme protein

expression (left panel). Densitometric analyses representing ratio of amylase isozyme band

signal to respective actin loading control band signals are shown in the right panel.

IOSE

-1

21

IOSE

-12

1 +

spir

ulin

a O

VC

AR

5

OV

CA

R5

+ s

pir

ulin

a

OV

-90

OV

-90

+ s

pir

ulin

a

AMY1A

AMY2A

AMY2B

ACTIN

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

IOSE-121 IOSE-121+ 100ug/ml

spirulina

OVCAR5 OVCAR5 +100ug/mlspirulina

OV-90 OV-90 +100ug/mlspirulina

Rat

io o

f am

ylas

e/ac

tin

pro

tein

AMY1 AMY2A AMY2B

112

Spirulina reduces amylase secretion by OC cell lines.

To determine if spirulina inhibited amylase secretion, cell lysates and CCM collected from

IOSE-121, IOSE-144, OVCAR5 and SKOV3 cells treated with 100ug/ml spirulina for 24 h and

then subjected to an amylase ELISA (Figure 4.4). In agreement with figure 4.3, I found 12%

reduction in cellular amylase in IOSE-121 and -144, respectively. In addition, levels of secreted

amylase in IOSE-121 and -144 were reduced by 28% and 18% following spirulina treatment,

respectively. Also in agreement with figure 4.3, I found 72% and 16% reduction in cellular amylase

in OVCAR5 and SKOV3 cells, respectively. More notably, levels of secreted amylase in OVCAR5

and SKOV3 cells were reduced by 90% and 6% following spirulina treatment, respectively.

Figure 4.4. Spirulina reduces amylase secretion in OC cell lines. Cell lysates and CCM from

cells treated ± spirulina were subjected to amylase ELISA to determine relative amounts of

cellular and secreted amylase. Data are presented as the mean of triplicates ± SE (*P<0.05).

*

0

10

20

30

40

50

60

IOSE-122 IOSE-122 +100ug/mlspirulina

IOSE-144 IOSE-144 +100 ug/mlspirulina

OVCAR5 OVCAR5 +100 ug/mlspirulina

SKOV3 SKOV3 +100 ug/mlspirulina

ng/

ml a

myl

ase

Cell lysate CCM

113

Spirulina decreases the invasive capacity of OC cells.

Using Boyden chamber assays, I found that spirulina did not significantly reduce invasive

capacity in IOSE-121 cells (Figure 4.5). However, spirulina significantly reduced invasive

capacity of OVCAR5 by 51% compared to untreated cells.

Spirulina decreased migration of OVCAR5 cells.

To confirm the inhibitory effect of spirulina for OC cell motility, OVCAR5 cells were

visualized in a scratch assay for 0-24 hours ± 100 ug/ml spirulina. Untreated cells migrated to fill

the scratch gap within 24 h (Figure 4.6) However, spirulina-treated cells did not migrate as quickly

and had only filled in 64% of their scratch gap at 24h.

Figure 4.5. Spirulina decreased invasive capacity in OC cells. IOSE-121 and OVCAR5 cells

were treated ± 100 ug/ml spirulina and assayed in Boyden chambers. Data are presented as

the mean of triplicates ± S.E. (*P<0.05).

0

20

40

60

80

100

120

untreated 100ug/mlspirulina


IOSE-121 OVCAR5

Nu

mb

er o

f in

vasi

ve c

ells

Spirulina invasion assay

*

114

Day 0 Day 1

OVCAR5 control

OVCAR5 + 100 ug/ml spirulina

Figure 4.6. Spirulina reduced migration in OVCAR5 cells. OVCAR5

cells were visualized in a scratch assay for 0-24h ± 100 ug/ml spirulina.

Experiment was performed in triplicate. Representative scratch assay is

illustrated in the upper panel while lower panel represents percent wound

closure.

0

20

40

60

80

100

120

DAY 0 DAY 1

Per

cen

t cl

osu

re

Time

Spirulina decreased migration in OVCAR5 cells

OVCAR5 control OVCAR5 + 100 ug/ml spirulina

115

Spirulina does not alter OC proliferation.

To determine whether spirulina is potentially cytotoxic for normal or OC cells, IOSE and

OC cell survival and growth were measured by MTS assay for 0-72 hours when treated with a

range of concentrations of spirulina (Figure 4.7). Spirulina did not significantly alter or affect

proliferation of either OSE or OC cells.

Figure 4.7. Spirulina did not alter IOSE or OC cell survival and proliferation. IOSE-121, IOSE-

144, OVCAR5 and OV-90 cells were treated with varying concentrations—0ug/ml, 50ug/ml,

100ug/ml, 150ug/ml— of spirulina and proliferation was measured every 24 hours for 72 hours.

Data are presented as the mean of two biological experiments, each performed in triplicates ±

SE.

0

0.2

0.4

0.6

0 24 48 72

Ab

sorb

ance

Time (hrs)

IOSE-121

0ug/mL50ug/mL100ug/mL150ug/mL

0

0.1

0.2

0.3

0.4

0 24 48 72

Ab

sorb

ance

Time (hrs)

IOSE-144

0ug/mL

50ug/mL

100ug/mL

150ug/mL

0

0.1

0.2

0.3

0 24 48 72

Ab

sorb

ance

Time (hrs)

OV-90

0ug/mL

50ug/mL

100ug/mL

150ug/mL

0

0.1

0.2

0.3

0.4

0 24 48 72

Ab

sorb

ance

Time (hrs)

OVCAR5

0ug/mL

50ug/mL

100ug/mL

150ug/mL

116

Phycocyanin abrogates amylase RNA expression.

IOSE-121 and OVCAR5 cells were treated with spirulina or phycocyanin in order to

determine if transcriptional downregulation of amylase by spirulina is due to one of its major active

ingredients, phycocyanin. In agreement with my earlier data (Figure 4.2), spirulina failed to

suppress amylase isozyme RNA expression in IOSE-121 (Figure 4.8), but phycocyanin increased

AMY1 and AMY2B RNA expression levels in a dose related manner. In contrast, but also in

agreement with my earlier data (Figure 4.2), spirulina completely inhibited AMY1 and AMY2B

RNA levels in OVCAR cells. Likewise, phycocyanin completely abrogated AMY1 and AMY2B

RNA levels in OC cells.

0

0.0001

0.0002

0.0003

0.0004

0.0005

0.0006

0.0007

0.0008

0.0009

0.001

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

AM

Y1

AM

Y2A

AM

Y2B

Control 100ug/mlSpirulina

1ug/mlphycocyanin

100ug/mlphycocyanin

Control 100ug/mlSpirulina

1ug/mlphycocyanin

100ug/mlphycocyanin

IOSE-121 OVCAR5

Rat

io o

f am

ylas

e/G

AP

DH

mR

NA

Figure 4.8. Phycocyanin abrogates amylase expression in OC cells. IOSE-121 and OVCAR5

cells were treated with 100 ug/ml spirulina, 1ug/ml phycocyanin or 100 ug/ml phycocyanin and

subjected to qPCR for amylase isozyme RNA expression. Data are expressed as the ratio of

amylase isozyme signal to GAPDH.

117

Spirulina-induced inhibition of OC invasion is driven, in part, by phycocyanin.

To determine whether spirulina-mediated inhibition of OC invasive capacity was driven by

phycocyanin, using Boyden chamber assays, I found that neither spirulina nor phycocyanin

significantly reduced invasive capacity in IOSE-121 cells (Figure 4.9). In agreement with my

earlier data (Figure 4.5), spirulina reduced the invasive capacity of OVCAR5 cells by

approximately 51%. However, phycocyanin was only able to reduce the invasive capacity of

OVCAR5 cells by approximately 32%, suggesting that spirulina-induced inhibition of OC

invasion is driven only in part by phycocyanin.

0

20

40

60

80

100

120


1ug/ml c-phycocyanin


1ug/ml c-phycocyanin

IOSE-121 OVCAR5

Nu

mb

er o

f in

vasi

ve c

ells

Number of invasive cells

Figure 4.9. Spirulina driven inhibition of OC invasion is partly mediated by phycocyanin.

IOSE-121 and OVCAR5 cells were treated with 100 ug/ml spirulina or 1ug/ml phycocyanin

and assayed in collagen-coated Boyden chambers. Data are presented as the mean of

triplicates (*P<0.05).

*

*

118

Discussion

Dietary supplements are widely recognized for their medicinal benefits. Many are or

contain free radical scavengers that promote improved health through anti-inflammatory activity

and clinically manifest as reduced incidence of disease, reduced damage associated with disease

and/or accelerated healing from disease. For example, curcumin, an active component of the spice

turmeric is widely used traditional Chinese herbal medicine. It has anti-cancer properties related

to suppression of the NF-κB signaling pathway which inhibits cellular proliferation and metastasis

[372]. Further, treatment of endometrial carcinoma cells, HEC-1B, with curcumin results in

decreased migration and invasion by reducing the expression and activity of MMP-2/9 via

suppression of the ERK signaling pathway [372,373].

Likewise, the clinical benefits of spirulina have also been investigated with regards to its

anti-oxidant, anti-inflammatory and anti-cancer properties. Several preclinical and clinical studies

have investigated the hypolipidemic effects of spirulina, that is, its ability to reduce cholesterol by

decreasing low-density lipoproteins (LDL), very low-density lipoproteins (HLDL), and

triglycerides (TG) and increase protective high-density lipoproteins (HDL). The cumulative data

indicates that spirulina has hypolipidemic activity in healthy young [374] and elderly volunteers,

patients with type 2 diabetes [375], patients with nephrotic syndrome [376] and patients with

ischaemic heart disease [377]. However, the exact molecular mechanism by which spirulina

promotes its hypolipidemic effects has not yet been elucidated [364].

The antioxidant and anti-inflammatory effects of spirulina were examined in in-vitro, pre-

clinical and some clinical studies. Spirulina can decrease the inflammatory reaction induced by

toxic, oxidative and physical damaging agents [378,379]. Spirulina’s antioxidant and anti-

inflammatory effects have been attributed to phycocyanin and β-carotene. Phycocyanin is an

119

antioxidant that can scavenge free radicals and lower lipid peroxidation [371]. Phycocyanin has

also been reported to inhibit TNF alpha and nitrile production [380]. On the other hand, the anti-

oxidant properties of β-carotene are related to its ability to decrease production of nitric oxide

(NO) and PGE(2), inducible NO synthase (iNOS), cyclooxygenase-2, TNF-alpha, and IL-1beta

[381].

Lastly, the anti-cancer properties of spirulina have also been studied. Spirulina and

compounds isolated from spirulina, including phycocyanobilin and chlorophyllin, tetrapyrrolic,

significantly decrease proliferation of human pancreatic cancer cells in xenotransplanted nude

mice [382]. Spirulina has been reported to down-regulate inflammation and carcinogenesis

induced by UVB irradiation in the skin [383]. Additionally, spirulina exhibited anti-proliferative

activity with low cytotoxicity in five cancer cell lines – HepG2 (liver cancer cell line), MCF-7

(breast cancer cell line), SGC-7901 (gastric cancer cell line), A549 (non-small cell lung cancer),

and HT-29 (colon colorectal cancer cell line) [384]. Finally, colon colorectal cells (Caco-2) treated

with spirulina display decreased proliferation, migration and increased apoptosis that may be

related to increased intracellular reactive oxygen species (ROS) and nitric oxide (NO) levels [385].

In contrast, there have only been two reports investigating the role of spirulina in OC and

both studies were limited to the effect of phycocyanin in a single OC cell line. By targeting

mitochondrial proteins, phycocyanin was reported to inhibit cellular proliferation and induce

apoptosis by increased ROS production and activation of caspase-3, -8, and -9 in SKOV3 cells.

[386]. Ying et al. (2016) suggested that the anti-proliferative action of phycocyanin in SKOV3

cells could be mediated through 18 cellular pathways [387].

In the present study, I showed that amylase is a downstream target of spirulina. Spirulina

consistently downregulated amylase isozyme expression at the message and protein levels. As a

120

result, spirulina, and to a lesser degree, phycocyanin appear to abrogate OC invasion by inhibiting

amylase-mediated OC cell migration and invasion. Importantly, spirulina did not appear to

adversely affect normal OSE cells. Given that the high mortality associated with OC is due, to a

large extent, by its propensity to metastasize early, the subset of patients whose cancers

overexpress amylase may benefit from adjuvant spirulina therapy to minimize burden of disease.

121

Chapter 5

Concluding Remarks

Although its etiology is poorly understood, OC accounts for 4% of all cancer cases and

4.2% of all cancer deaths worldwide. OC is the most lethal gynecological cancer because early

symptoms of the disease are generally lacking. As a result, more than 70% of OC patients are

diagnosed in later stages when the disease has already metastasized. Women diagnosed in late

disease stage have a 5-year survival rate of less than 20% compared with approximately 90%

survival for women diagnosed with early stage disease. The current gold standard for OC

detection, serum CA-125, is only elevated in 50% of stage I OC patients so that CA-125 is more

useful as a prognostic rather than a diagnostic marker [388]. Therefore, there remains an urgent

need to better understand the cellular and molecular regulators that drive OC progression in order

to reduce metastatic spread as well as identify novel diagnostic and therapeutic targets.

A number of potential OC biomarkers have been reported to date. However, their efficacy

for disease detection or functional contribution to OC progression is limited. Therefore, I initiated

my studies with a computational analysis of the 27 most commonly reported literature-derived

ovarian cancer (LDOC) protein biomarkers. I found that LDOC protein biomarkers share many

biochemical features including a preponderance for a stable protein structure (ordered, hydrophilic,

aggregation-prone, glycosylated and sumoylated), the ability to be secreted (export signal peptide

122

sequence, hydrophilic) and functionality related to ECM modification, immune response and/or

energy production. Subsequently, I analyzed the human proteome to identify additional proteins

that also share these biochemical features. Of the 70,616 proteins in the human proteome, 683

proteins were found to have similar biochemical features to the 27 LDOC proteins. With further

computational analyses I identified a subset of 21 potential additional protein regulators of ovarian

cancer (APROC) sharing similar functional and biochemical protein profiles and interactivity with

LDOCs in the humane proteome.

Three of the APROCs identified were amylase (AMY) AMY1A, AMY2A, and AMY2B,

which compromise the members of the human amylase gene family. Amylase cleaves alpha 1, 4-

glycosidic bonds in polysaccharides to initiate carbohydrate metabolism, thereby contributing to

energy production. Amylase is reportedly overexpressed in and secreted by ovarian tumors [262].

Hyperamylasemia has been studied as both a diagnostic and prognostic indicator even though its

functional contribution to OC progression remains unknown [1]. Since amylase can degrade

bacterial biofilms in wounds [228], it is possible that, by cleaving polysaccharide moieties in the

tumor microenvironment, amylase also plays a role in ECM remodeling. Consequently, I sought

to determine whether amylase could promote OC cell migration and invasion.

I initiated my studies on the role of amylase to drive OC invasion with additional

computational studies focused on characterizing the different amylase isozymes in order to predict

which amylase isozyme(s) is most likely overexpressed in and contributory to OC invasion. I found

that there were significant differences among the isozymes. Specifically, AMY1 and AMY2B have

unique regions of disorder, unique regions of aggregation and unique phosphorylation sites

indicating that AMY1 and AMY2B would be more likely to interact with other proteins, to

123

aggregate and to be easily secreted. Using serum samples from patients with OC, I was able to

validate AMY1 and AMY2B overexpression by western immunoblotting.

I then developed an in vitro model system to study the molecular contribution of amylase

to OC using IOSE and OC cell lines. I showed that OC cells generally overexpress and secrete

metabolically active amylase isozymes AMY1 and AMY2B. Abrogating amylase activity using

siRNA silencing technology decreased the capacity of OC cells to invade collagen coated Boyden

chambers and increased sGAG production. Since a survey of OC cell lines indicated that cancer

cells have a bulkier glycocalyx compared to IOSE cells and immunogold labeling studies indicated

the presence of amylase within the immediate OC microenvironment, my data suggest that, by

cleaving alpha 1, 4-glycosidic bonds in glycoconjugates (glycosaminoglycans (GAGs),

glycoproteins, glycolipids, and proteoglycans) present within ECM, amylase may remodel the

ECM to promote an invasive cancer phenotype.

Further studies are needed to validate the hypothesis that amylase may promote OC

invasion by altering the glycocalyx/ECM architecture in OC. Assuming that amylase maintains its

traditional enzymatic activity in the OC ECM, GAGs within the glycocalyx containing α-1, 4-

glycosidic bonds should be susceptible to hydrolysis by amylase enzymatic activity. By cleaving

α-1, 4-glycosidic bonds in negatively charged repellant GAGs [356], amylase may lead to

proteoglycan condensation. Consequently, this proteoglycan condensation could result in integrin

clustering and dimerization, leading to an altered glycocalyx characteristic of malignant cells that

is associated with an invasive phenotype (Figure 5.1). Weaver et al. described metastatic tumors

which overexpress bulky glycan structures and glycoproteins that alter integrin organization by

funneling active integrins together. Glycocalyx –mediated integrin clustering promote phenotypes

associated with cancer [389,390].

124

Amylase could, then, be a target for therapeutic intervention in OC patients with

hyperamylasemia. However, commercially available amylase inhibitors typically inhibit amylase

activity at the protein level and produce a variety of adverse gastrointestinal side effects [363]. I

established Spirulina, a dietary supplement, as a novel transcriptional inhibitor of amylase.

Spirulina inhibited amylase expression in OC cell lines at both the message and protein levels.

Spirulina reduced OC cell invasion and migration in vitro, putatively by decreasing amylase

expression. Phycocyanin, one of the active ingredients of spirulina, was investigated in order to

determine if it was responsible for the downregulation of amylase expression and reduced invasion

induced by spirulina. I found that phycocyanin reduced amylase expression in and invasive

Figure 5.1. Schematic of the possible influence of amylase in altering the glycocalyx of OC

cell and consequently lead to a more malignant phenotype. Amylase may cleave α-1, 4-

glycosidic bonds in OC cell glycocalyx which leads to proteoglycan condensation and integrin

clustering. The resulting altered glycocalyx promotes a malignant phenotype.

125

behavior of OC cells, but the degree to which phycocyanin reduced amylase-mediated activities

was less than that of spirulina. Therefore, multiple components of spirulina are likely responsible

for regulating amylase expression.

Clearly, further studies are warranted to determine the clinical impact of amylase in OC,

and, potentially other cancer types. Since lung cancer is also often clinically associated with

hyperamylasemia, it would be interesting to determine whether amylase similarly mediates cellular

invasion in lung cancer cells. Given the lack of sensitive and specific biomarkers for OC, it might

also be clinically impactful to examine the potential for serum amylase to serve as a biomarker of

disease based on amylase isozyme subtype. Furthermore, spirulina may be an attractive and

effective therapy/therapeutic adjuvant to reduce the migratory and invasive capabilities of OC cells

leading to decreased disease burden. Going forward, it would be important to identify and isolate

the specific components of Spirulina that transcriptionally inhibit amylase as well as examine other

dietary supplements for their ability to inhibit amylase alone or in concert with Spirulina. Lastly,

I have shown the power of computational analyses to provide insight about the different molecular

mechanisms employed by disease regulators with shared protein profiles. I would hope that future

endeavors explore the biochemical features, metabolic pathways and protein-protein networks

among the remaining APROC candidates to provide additional insights about the appearance of

diverse histologic subtypes, the propensity for metastatic spread and the emergence of drug

resistance in OC. This, in turn, could reduce the mortality of a disease that kills thousands of

women annually.

126

Chapter 6

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176

Appendix I

Potential novel regulators or biomarkers of OC – 683 proteins in total of non-redundant,

secreted, ordered and aggregation-prone human proteins.

Appendix I

Uniprot

entry

Uniprot

entry

name

Gene name Protein name

Proteins functionally related to ECM/microenvironment modifications

A8K2U0 A2ML1 A2ML1 CPAMD9

Q9Y653 AGRG1 ADGRG1 GPR56 TM7LN4

TM7XN1 UNQ540/PRO1083

P01019 ANGT AGT SERPINA8 Angiotensinogen (Serpin A8)

[Cleaved into: Angiotensin-1

(Angiotensin 1-10) (Angiotensin I)

(Ang I); Angiotensin-2

(Angiotensin 1-8) (Angiotensin II)

(Ang II); Angiotensin-3

(Angiotensin 2-8) (Angiotensin

III) (Ang III) (Des-Asp[1]-

angiotensin II); Angiotensin-4

(Angiotensin 3-8) (Angiotensin

IV) (Ang IV); Angiotensin 1-9;

Angiotensin 1-7; Angiotensin 1-5;

Angiotensin 1-4]

Q13740 CD166 ALCAM MEMD CD166 antigen (Activated

leukocyte cell adhesion molecule)

(CD antigen CD166)

S4R3Y4 S4R3Y4 AMBP Protein AMBP

Q15389 ANGP1 ANGPT1 KIAA0003 Angiopoietin-1 (ANG-1)

O15123 ANGP2 ANGPT2 Angiopoietin-2 (ANG-2)

O95841 ANGL1 ANGPTL1 ANG3 ANGPT3

ARP1 PSEC0154

UNQ162/PRO188

Angiopoietin-related protein 1

(Angiopoietin-3) (ANG-3)

(Angiopoietin-like protein 1)

Q9UKU9 ANGL2 ANGPTL2 ARP2

UNQ170/PRO196



177

P58335 ANTR2 ANTXR2 CMG2 Anthrax toxin receptor 2

(Capillary morphogenesis gene 2

protein) (CMG-2)

O95393 BMP10 BMP10 Bone morphogenetic protein 10

(BMP-10)

P22003 BMP5 BMP5 Bone morphogenetic protein 5

(BMP-5)

P22004 BMP6 BMP6 VGR Bone morphogenetic protein 6

(BMP-6) (VG-1-related protein)

(VG-1-R) (VGR-1)

P18075 BMP7 BMP7 OP1 Bone morphogenetic protein 7

(BMP-7) (Osteogenic protein 1)

(OP-1) (Eptotermin alfa)

P59826 BPIB3 BPIFB3 C20orf185 LPLUNC3 BPI fold-containing family B

member 3 (Ligand-binding protein

RYA3) (Long palate, lung and

nasal epithelium carcinoma-

associated protein 3)

Q075Z2 BSPH1 BSPH1 Binder of sperm protein homolog

1 (Bovine seminal plasma protein

homolog 1) (Bovine seminal

plasma protein-like 1)

P35070 BTC BTC Probetacellulin [Cleaved into:

Betacellulin (BTC)]

Q9BXJ1 C1QT1 C1QTNF1 CTRP1

UNQ310/PRO353

Complement C1q tumor necrosis

factor-related protein 1 (G protein-

coupled receptor-interacting

protein) (GIP)


UNQ303/PRO344


factor-related protein 5

P60827 C1QT8 C1QTNF8

UNQ5829/PRO19648


factor-related protein 8 (C1q/TNF-

related protein 8) (CTRP8)

Q8IUK8 CBLN2 CBLN2 UNQ1892/PRO4338 Cerebellin-2

P48960 CD97 CD97

Q9H5V8 CDCP1 CDCP1 TRASK

UNQ2486/PRO5773

P13688 CEAM1 CEACAM1 BGP BGP1 Carcinoembryonic antigen-related

cell adhesion molecule 1 (Biliary

glycoprotein 1) (BGP-1) (CD

antigen CD66a)

Q2WEN9 CEA16 CEACAM16 CEAL2 Carcinoembryonic antigen-related

cell adhesion molecule 16

(Carcinoembryonic antigen-like 2)

178

Q9UNI1 CELA1 CELA1 ELA1 Chymotrypsin-like elastase family

member 1 (EC 3.4.21.36)

(Elastase-1) (Pancreatic elastase 1)

P08217 CEL2A CELA2A ELA2A Chymotrypsin-like elastase family

member 2A (EC 3.4.21.71)

(Elastase-2A)

Q9BXR6 FHR5 CFHR5 CFHL5 FHR5 Complement factor H-related

protein 5 (FHR-5)

Q15782 CH3L2 CHI3L2 Chitinase-3-like protein 2

(Chondrocyte protein 39) (YKL-

39)

Q9BU40 CRDL1 CHRDL1 NRLN1 Chordin-like protein 1 (Neuralin-

1) (Neurogenesin-1) (Ventroptin)

Q9UQC9 CLCA2 CLCA2 CACC3

O43405 COCH COCH COCH5B2

UNQ257/PRO294

Cochlin (COCH-5B2)

P12109 CO6A1 COL6A1

P12111 CO6A3 COL6A3

A8TX70 CO6A5 COL6A5 COL29A1 VWA4

A6NMZ7 CO6A6 COL6A6

Q8IVL8 CBPO CPO Carboxypeptidase O (CPO) (EC

3.4.17.-)

O75629 CREG1 CREG1 CREG

UNQ727/PRO1409

Protein CREG1 (Cellular repressor

of E1A-stimulated genes 1)

Q9H0B8 CRLD2 CRISPLD2 CRISP11 LCRISP2

UNQ2914/PRO1156/PRO9783

Cysteine-rich secretory protein

LCCL domain-containing 2

(Cysteine-rich secretory protein

11) (CRISP-11) (LCCL domain-

containing cysteine-rich secretory

protein 2)

O60676 CST8 CST8 CRES Cystatin-8 (Cystatin-related

epididymal spermatogenic protein)

Q9H4G1 CST9L CST9L CTES7B

UNQ1835/PRO3543

Cystatin-9 (Cystatin-like

molecule)

Q8N907 DAND5 DAND5 CER2 CKTSF1B3

GREM3 SP1

DAN domain family member 5

(Cerberus-like protein 2) (Cerl-2)

(Cysteine knot superfamily 1,

BMP antagonist 3) (Gremlin-3)

Q07507 DERM DPT Dermatopontin (Tyrosine-rich

acidic matrix protein) (TRAMP)

O60469 DSCAM DSCAM

Q14507 EP3A EDDM3A FAM12A HE3A Epididymal secretory protein E3-

alpha (Human epididymis-specific

protein 3-alpha) (HE3-alpha)

179

P56851 EP3B EDDM3B FAM12B HE3B

UNQ6412/PRO21187

Epididymal secretory protein E3-

beta (Human epididymis-specific

protein 3-beta) (HE3-beta)

O43854 EDIL3 EDIL3 DEL1 EGF-like repeat and discoidin I-

like domain-containing protein 3

(Developmentally-regulated

endothelial cell locus 1 protein)

(Integrin-binding protein DEL1)

Q12805 FBLN3 EFEMP1 FBLN3 FBNL EGF-containing fibulin-like

extracellular matrix protein 1

(Extracellular protein S1-5)

(Fibrillin-like protein) (Fibulin-3)

(FIBL-3)

O95967 FBLN4 EFEMP2 FBLN4

UNQ200/PRO226

EGF-containing fibulin-like

extracellular matrix protein 2

(Fibulin-4) (FIBL-4) (Protein

UPH1)

P20827 EFNA1 EFNA1 EPLG1 LERK1

TNFAIP4

Ephrin-A1 (EPH-related receptor

tyrosine kinase ligand 1) (LERK-

1) (Immediate early response

protein B61) (Tumor necrosis

factor alpha-induced protein 4)

(TNF alpha-induced protein 4)

[Cleaved into: Ephrin-A1, secreted

form]

P52798 EFNA4 EFNA4 EPLG4 LERK4 Ephrin-A4 (EPH-related receptor

tyrosine kinase ligand 4) (LERK-

4)

Q96BH3 ESPB1 ELSPBP1 E12

Q9UJA9 ENPP5 ENPP5 UNQ550/PRO1107 Ectonucleotide

pyrophosphatase/phosphodiesteras

e family member 5 (E-NPP 5)

(NPP-5) (EC 3.1.-.-)

Q6UW88 EPGN EPGN UNQ3072/PRO9904 Epigen (Epithelial mitogen) (EPG)

M5A8F1 SUPYN ERVH48-1 C21orf105 HERV-

Fb1 NDUFV3-AS1

Suppressyn (Endogenous

retrovirus group 48 member 1)

(NDUFV3 antisense RNA 1)

(endogenous retrovirus group Fb

member 1)

Q5T1H1 EYS EYS C6orf178 C6orf179 C6orf180 EGFL10 EGFL11 SPAM

UNQ9424/PRO34591

P03951 FA11 F11 Coagulation factor XI (FXI) (EC

3.4.21.27) (Plasma thromboplastin

antecedent) (PTA) [Cleaved into:

Coagulation factor XIa heavy

180

chain; Coagulation factor XIa light

chain]

P13726 TF F3 Tissue factor (TF) (Coagulation

factor III) (Thromboplastin) (CD

antigen CD142)

P08709 FA7 F7 Coagulation factor VII

P00740 FA9 F9 Coagulation factor IX (EC

3.4.21.22) (Christmas factor)

(Plasma thromboplastin

component) (PTC) [Cleaved into:

Coagulation factor IXa light chain;

Coagulation factor IXa heavy

chain]

Q96MK3 FA20A FAM20A UNQ9388/PRO34279 Pseudokinase FAM20A

Q8IXL6 FA20C FAM20C DMP4 Extracellular serine/threonine

protein kinase FAM20C (EC

2.7.11.1) (Dentin matrix protein 4)

(DMP-4) (Golgi casein kinase)

(Golgi-enriched fraction casein

kinase) (GEF-CK)

Q9Y6R7 FCGBP FCGBP

P08620 FGF4 FGF4 HST HSTF1 KS3 Fibroblast growth factor 4 (FGF-

4) (Heparin secretory-

transforming protein 1) (HST)

(HST-1) (HSTF-1) (Heparin-

binding growth factor 4) (HBGF-

4) (Transforming protein KS3)

P10767 FGF6 FGF6 HST2 HSTF2 Fibroblast growth factor 6 (FGF-

6) (Heparin secretory-

transforming protein 2) (HST-2)

(HSTF-2) (Heparin-binding

growth factor 6) (HBGF-6)

P21781 FGF7 FGF7 KGF Fibroblast growth factor 7 (FGF-

7) (Heparin-binding growth factor

7) (HBGF-7) (Keratinocyte

growth factor)

P02679 FIBG FGG PRO2061 Fibrinogen gamma chain

Q9NZU1 FLRT1 FLRT1 UNQ752/PRO1483 Leucine-rich repeat

transmembrane protein FLRT1

(Fibronectin-like domain-

containing leucine-rich

transmembrane protein 1)

O43155 FLRT2 FLRT2 KIAA0405

UNQ232/PRO265

Leucine-rich repeat



181



Q9NZU0 FLRT3 FLRT3 KIAA1469

UNQ856/PRO1865

Leucine-rich repeat





P0C091 FREM3 FREM3

P01225 FSHB FSHB Follitropin subunit beta (Follicle-

stimulating hormone beta subunit)

(FSH-B) (FSH-beta) (Follitropin

beta chain)

Q9BTY2 FUCO2 FUCA2 PSEC0151

UNQ227/PRO260

Plasma alpha-L-fucosidase (EC

3.2.1.51) (Alpha-L-fucoside

fucohydrolase 2) (Alpha-L-

fucosidase 2)

Q9UBS5 GABR1 GABBR1 GPRC3A

Q9NR23 GDF3 GDF3 UNQ222/PRO248 Growth/differentiation factor 3

(GDF-3)

O60383 GDF9 GDF9 Growth/differentiation factor 9

(GDF-9)

Q3B7J2 GFOD2 GFOD2 UNQ9430/PRO34691 Glucose-fructose oxidoreductase

domain-containing protein 2 (EC

1.-.-.-)

P10912 GHR GHR Growth hormone receptor (GH

receptor) (Somatotropin receptor)

[Cleaved into: Growth hormone-

binding protein (GH-binding

protein) (GHBP) (Serum-binding

protein)]

Q86XP6 GKN2 GKN2 BLOT GDDR TFIZ1

UNQ465/PRO813

Gastrokine-2 (Blottin) (Down-

regulated in gastric cancer)

(Trefoil factor interactions(z) 1)

P0CG01 GKN3 GKN3P Gastrokine-3

Q6UWM

5

GPRL1 GLIPR1L1 UNQ2972/PRO7434 GLIPR1-like protein 1

P01148 GON1 GNRH1 GNRH GRH LHRH Progonadoliberin-1

(Progonadoliberin I) [Cleaved

into: Gonadoliberin-1

(Gonadoliberin I) (Gonadorelin)

(Gonadotropin-releasing hormone

I) (GnRH-I) (Luliberin I)

(Luteinizing hormone-releasing

hormone I) (LH-RH I); GnRH-

associated peptide 1 (GnRH-

associated peptide I)]

182

P51654 GPC3 GPC3 OCI5 Glypican-3 (GTR2-2) (Intestinal

protein OCI-5) (MXR7) [Cleaved

into: Secreted glypican-3]

O75487 GPC4 GPC4 UNQ474/PRO937 Glypican-4 (K-glypican) [Cleaved

into: Secreted glypican-4]

P78333 GPC5 GPC5 Glypican-5 [Cleaved into:

Secreted glypican-5]

Q9Y625 GPC6 GPC6 UNQ369/PRO705 Glypican-6 [Cleaved into:

Secreted glypican-6]

Q96T91 GPHA2 GPHA2 GPA2 ZSIG51 Glycoprotein hormone alpha-2

(Putative secreted protein Zsig51)

(Thyrostimulin subunit alpha)

Q86YW7 GPHB5 GPHB5 GPB5 ZLUT1 Glycoprotein hormone beta-5

(Thyrostimulin subunit beta)

Q02747 GUC2A GUCA2A GUCA2 Guanylin (Guanylate cyclase

activator 2A) (Guanylate cyclase-

activating protein 1) (Guanylate

cyclase-activating protein I)

(GCAP-I) [Cleaved into: HMW-

guanylin; Guanylin]

Q96RW7 HMCN1 HMCN1 FIBL6

Q9Y251 HPSE HPSE HEP HPA HPA1 HPR1

HPSE1 HSE1

Heparanase (EC 3.2.1.166) (Endo-

glucoronidase) (Heparanase-1)

(Hpa1) [Cleaved into: Heparanase

8 kDa subunit; Heparanase 50 kDa

subunit]

Q8WWQ

2

HPSE2 HPSE2 HPA2 Inactive heparanase-2 (Hpa2)

P02790 HEMO HPX Hemopexin (Beta-1B-

glycoprotein)

Q92743 HTRA1 HTRA1 HTRA PRSS11 Serine protease HTRA1 (EC

3.4.21.-) (High-temperature

requirement A serine peptidase 1)

(L56) (Serine protease 11)

P83110 HTRA3 HTRA3 PRSP Serine protease HTRA3 (EC


requirement factor A3)

(Pregnancy-related serine

protease)

P83105 HTRA4 HTRA4 Serine protease HTRA4 (EC


requirement factor A4)

Q12794 HYAL1 HYAL1 LUCA1 Hyaluronidase-1 (Hyal-1) (EC

3.2.1.35)

(Hyaluronoglucosaminidase-1)

183

(Lung carcinoma protein 1)

(LuCa-1)

O43820 HYAL3 HYAL3 LUCA3 Hyaluronidase-3 (Hyal-3) (EC

3.2.1.35)

(Hyaluronoglucosaminidase-3)

(Lung carcinoma protein 3)

(LuCa-3)

P35858 ALS IGFALS ALS Insulin growth factor-like family

member 1

Q8N6C5 IGSF1 IGSF1 IGDC1 KIAA0364

PGSF2

P35968 VGFR2 KDR FLK1 VEGFR2

Q14667 K0100 KIAA0100 BCOX1

O43240 KLK10 KLK10 NES1 PRSSL1 Kallikrein-10 (EC 3.4.21.-)

(Normal epithelial cell-specific 1)

(Protease serine-like 1)

Q9UKR0 KLK12 KLK12 KLKL5

UNQ669/PRO1303

Kallikrein-12 (EC 3.4.21.-)

(Kallikrein-like protein 5) (KLK-

L5)

P07288 KLK3 KLK3 APS Prostate-specific antigen (PSA)

(EC 3.4.21.77) (Gamma-

seminoprotein) (Seminin)

(Kallikrein-3) (P-30 antigen)

(Semenogelase)

Q9Y5K2 KLK4 KLK4 EMSP1 PRSS17 PSTS Kallikrein-4 (EC 3.4.21.-)

(Enamel matrix serine proteinase

1) (Kallikrein-like protein 1)

(KLK-L1) (Prostase) (Serine

protease 17)

P49862 KLK7 KLK7 PRSS6 SCCE Kallikrein-7 (hK7) (EC

3.4.21.117) (Serine protease 6)

(Stratum corneum chymotryptic

enzyme) (hSCCE)

Q9UKQ9 KLK9 KLK9 Kallikrein-9 (EC 3.4.21.-)

(Kallikrein-like protein 3) (KLK-

L3)

P03952 KLKB1 KLKB1 KLK3 Plasma kallikrein (EC 3.4.21.34)

(Fletcher factor) (Kininogenin)

(Plasma prekallikrein) (PKK)

[Cleaved into: Plasma kallikrein

heavy chain; Plasma kallikrein

light chain]

P25391 LAMA1 LAMA1 LAMA

P24043 LAMA2 LAMA2 LAMM

Q16787 LAMA3 LAMA3 LAMNA

184

O15230 LAMA5 LAMA5 KIAA0533 KIAA1907

Q13751 LAMB3 LAMB3 LAMNB1

Q6JVE6 LCN10 LCN10 Epididymal-specific lipocalin-10

Q6JVE9 LCN8 LCN8 LCN5 Epididymal-specific lipocalin-8

Q6P5S2 LEG1H LEG1 C6orf58 Protein LEG1 homolog

O95970 LGI1 LGI1 EPT UNQ775/PRO1569 Leucine-rich glioma-inactivated

protein 1 (Epitempin-1)

P01229 LSHB LHB Lutropin subunit beta (Lutropin

beta chain) (Luteinizing hormone

subunit beta) (LH-B) (LSH-B)

(LSH-beta)

P02750 A2GL LRG1 LRG Leucine-rich alpha-2-glycoprotein

(LRG)

Q8N6Y2 LRC17 LRRC17 P37NB

UNQ3076/PRO9909

Leucine-rich repeat-containing

protein 17 (p37NB)

P21941 MATN1 MATN1 CMP CRTM Cartilage matrix protein (Matrilin-

1)

O15232 MATN3 MATN3 Matrilin-3

O95460 MATN4 MATN4 Matrilin-4

P08581 MET MET

P08493 MGP MGP MGLAP GIG36 Matrix Gla protein (MGP) (Cell

growth-inhibiting gene 36 protein)

P03956 MMP1 MMP1 CLG Interstitial collagenase (EC

3.4.24.7) (Fibroblast collagenase)

(Matrix metalloproteinase-1)

(MMP-1) [Cleaved into: 22 kDa

interstitial collagenase; 27 kDa

interstitial collagenase]

P09238 MMP10 MMP10 STMY2 Stromelysin-2 (SL-2) (EC

3.4.24.22) (Matrix

metalloproteinase-10) (MMP-10)

(Transin-2)

P39900 MMP12 MMP12 HME Macrophage metalloelastase

(MME) (EC 3.4.24.65)

(Macrophage elastase) (ME)

(hME) (Matrix metalloproteinase-

12) (MMP-12)

P51512 MMP16 MMP16 MMPX2 Matrix metalloproteinase-16

(MMP-16) (EC 3.4.24.-) (MMP-

X2) (Membrane-type matrix

metalloproteinase 3) (MT-MMP 3)

(MTMMP3) (Membrane-type-3

matrix metalloproteinase) (MT3-

MMP) (MT3MMP)

185

Q99542 MMP19 MMP19 MMP18 RASI Matrix metalloproteinase-19

(MMP-19) (EC 3.4.24.-) (Matrix

metalloproteinase RASI) (Matrix


O60882 MMP20 MMP20 Matrix metalloproteinase-20

(MMP-20) (EC 3.4.24.-) (Enamel

metalloproteinase) (Enamelysin)

Q8N119 MMP21 MMP21 Matrix metalloproteinase-21

(MMP-21) (EC 3.4.24.-)

Q9H239 MMP28 MMP28 MMP25

UNQ1893/PRO4339

Matrix metalloproteinase-28

(MMP-28) (EC 3.4.24.-)

(Epilysin)

P08254 MMP3 MMP3 STMY1 Stromelysin-1 (SL-1) (EC

3.4.24.17) (Matrix


(Transin-1)

P22894 MMP8 MMP8 CLG1 Neutrophil collagenase (EC

3.4.24.34) (Matrix


(PMNL collagenase) (PMNL-CL)

P08118 MSMB MSMB PRSP Beta-microseminoprotein

(Immunoglobulin-binding factor)

(IGBF) (PN44) (Prostate secreted

seminal plasma protein) (Prostate

secretory protein of 94 amino

acids) (PSP-94) (PSP94) (Seminal

plasma beta-inhibin)

Q1L6U9 MSMP MSMP PSMP Prostate-associated

microseminoprotein (PC3-secreted

microprotein)

Q99972 MYOC MYOC GLC1A TIGR Myocilin (Myocilin 55 kDa

subunit) (Trabecular meshwork-

induced glucocorticoid response

protein) [Cleaved into: Myocilin,

N-terminal fragment (Myocilin 20

kDa N-terminal fragment);

Myocilin, C-terminal fragment

(Myocilin 35 kDa N-terminal

fragment)]

Q8TB73 NDNF NDNF C4orf31

UNQ2748/PRO6487

Protein NDNF (Neuron-derived

neurotrophic factor)

Q00604 NDP NDP EVR2 Norrin (Norrie disease protein)

(X-linked exudative

vitreoretinopathy 2 protein)

Q15223 NECT1 NECTIN1 HVEC PRR1 PVRL1 Nectin-1 (Herpes virus entry

mediator C) (Herpesvirus entry

186

mediator C) (HveC) (Herpesvirus

Ig-like receptor) (HIgR) (Nectin

cell adhesion molecule 1)

(Poliovirus receptor-related

protein 1) (CD antigen CD111)

Q96NY8 NECT4 NECTIN4 LNIR PRR4 PVRL4 Nectin-4 (Ig superfamily receptor

LNIR) (Nectin cell adhesion

molecule 4) (Poliovirus receptor-

related protein 4) [Cleaved into:

Processed poliovirus receptor-

related protein 4]

Q8TDF5 NETO1 NETO1 BTCL1 Neuropilin and tolloid-like protein

1 (Brain-specific transmembrane

protein containing 2 CUB and 1

LDL-receptor class A domains

protein 1)

Q6P988 NOTUM NOTUM OK/SW-CL.30 Palmitoleoyl-protein

carboxylesterase NOTUM (EC

3.1.1.98) (hNOTUM)

P0C0P6 NPS NPS Neuropeptide S

P47972 NPTX2 NPTX2 Neuronal pentraxin-2 (NP2)

(Neuronal pentraxin II) (NP-II)

Q92823 NRCAM NRCAM KIAA0343

O95156 NXPH2 NXPH2 NPH2 Neurexophilin-2

Q99784 NOE1 OLFM1 NOE1 NOEL1 Noelin (Neuronal olfactomedin-

related ER localized protein)

(Olfactomedin-1)

Q6UX06 OLFM4 OLFM4 GW112

UNQ362/PRO698

Olfactomedin-4 (OLM4)

(Antiapoptotic protein GW112)

(G-CSF-stimulated clone 1

protein) (hGC-1) (hOLfD)

Q6IE37 OVOS1 OVOS1

Q6IE36 OVOS2 OVOS2

P09466 PAEP PAEP Glycodelin (GD) (Placental

protein 14) (PP14) (Pregnancy-

associated endometrial alpha-2

globulin) (PAEG) (PEG)

(Progestagen-associated

endometrial protein)

(Progesterone-associated

endometrial protein)

P0C8F1 PATE4 PATE4 Prostate and testis expressed

protein 4 (PATE-like protein B)

(PATE-B)

Q96QU1 PCD15 PCDH15 USH1F

187

Q15113 PCOC1 PCOLCE PCPE1 Procollagen C-endopeptidase

enhancer 1 (Procollagen COOH-

terminal proteinase enhancer 1)

(PCPE-1) (Procollagen C-

proteinase enhancer 1) (Type 1

procollagen C-proteinase enhancer

protein) (Type I procollagen

COOH-terminal proteinase

enhancer)

Q9UKZ9 PCOC2 PCOLCE2 PCPE2

UNQ250/PRO287

Procollagen C-endopeptidase

enhancer 2 (Procollagen COOH-

terminal proteinase enhancer 2)

(PCPE-2) (Procollagen C-

proteinase enhancer 2)

Q15198 PGFRL PDGFRL PRLTS Platelet-derived growth factor

receptor-like protein (PDGFR-like

protein) (PDGF receptor beta-like

tumor suppressor)

P12273 PIP PIP GCDFP15 GPIP4 Prolactin-inducible protein (Gross

cystic disease fluid protein 15)

(GCDFP-15) (Prolactin-induced

protein) (Secretory actin-binding

protein) (SABP) (gp17)

Q504Y2 PKDCC PKDCC SGK493 VLK Extracellular tyrosine-protein

kinase PKDCC (EC 2.7.10.2)

(Protein kinase domain-containing

protein, cytoplasmic) (Protein

kinase-like protein SgK493)

(Sugen kinase 493) (Vertebrate

lonesome kinase)

P00750 TPA PLAT Tissue-type plasminogen activator

(t-PA) (t-plasminogen activator)

(tPA) (EC 3.4.21.68) (Alteplase)

(Reteplase) [Cleaved into: Tissue-

type plasminogen activator chain

A; Tissue-type plasminogen

activator chain B]

P00749 UROK PLAU Urokinase-type plasminogen

activator (U-plasminogen

activator) (uPA) (EC 3.4.21.73)

[Cleaved into: Urokinase-type

plasminogen activator long chain

A; Urokinase-type plasminogen

activator short chain A;

Urokinase-type plasminogen

activator chain B]

188

Q15195 PLGA PLGLA PLGLA1 PLGP2

PRGA

Plasminogen-like protein A

(Plasminogen-like protein A1)

(Plasminogen-related protein A)

P40967 PMEL PMEL D12S53E PMEL17 SILV Melanocyte protein PMEL

(ME20-M) (ME20M) (Melanocyte

protein Pmel 17) (Melanocytes

lineage-specific antigen GP100)

(Melanoma-associated ME20

antigen) (P1) (P100)

(Premelanosome protein) (Silver

locus protein homolog) [Cleaved

into: M-alpha (95 kDa

melanocyte-specific secreted

glycoprotein) (P26) (Secreted

melanoma-associated ME20

antigen) (ME20-S) (ME20S); M-

beta]

Q7Z5L7 PODN PODN SLRR5A

UNQ293/PRO332

Podocan

Q15063 POSTN POSTN OSF2

P07478 TRY2 PRSS2 TRY2 TRYP2 Trypsin-2 (EC 3.4.21.4) (Anionic

trypsinogen) (Serine protease 2)

(Trypsin II)

Q8NHM4 TRY6 PRSS3P2 T6 TRY6 Putative trypsin-6 (EC 3.4.21.4)

(Serine protease 3 pseudogene 2)

(Trypsinogen C)

Q6UWY2 PRS57 PRSS57 PRSSL1

UNQ782/PRO1599

Serine protease 57 (EC 3.4.21.-)

(Serine protease 1-like protein 1)

Q16557 PSG3 PSG3 Pregnancy-specific beta-1-

glycoprotein 3 (PS-beta-G-3)

(PSBG-3) (Pregnancy-specific

glycoprotein 3)

(Carcinoembryonic antigen SG5)

Q00889 PSG6 PSG6 CGM3 PSG10 PSG12

PSGGB

Pregnancy-specific beta-1-



glycoprotein 6) (Pregnancy-

specific beta-1-glycoprotein 10)

(PS-beta-G-10) (PSBG-10)

(Pregnancy-specific glycoprotein

10) (Pregnancy-specific beta-1-

glycoprotein 12) (PS-beta-G-12)


glycoprotein 12)

Q13046 PSG7 PSG7 Putative pregnancy-specific beta-

1-glycoprotein 7 (PS-beta-G-7)

189


glycoprotein 7)

Q9UQ74 PSG8 PSG8 Pregnancy-specific beta-1-



glycoprotein 8)

Q96A98 TIP39 PTH2 TIP39 TIPF39 Tuberoinfundibular peptide of 39

residues (TIP39) (Parathyroid

hormone 2)

P21246 PTN PTN HBNF1 NEGF1 Pleiotrophin (PTN) (Heparin-

binding brain mitogen) (HBBM)

(Heparin-binding growth factor 8)

(HBGF-8) (Heparin-binding

growth-associated molecule) (HB-

GAM) (Heparin-binding neurite

outgrowth-promoting factor 1)

(HBNF-1) (Osteoblast-specific

factor 1) (OSF-1)

P10082 PYY PYY Peptide YY (PYY) (PYY-I)

(Peptide tyrosine tyrosine)

[Cleaved into: Peptide YY(3-36)

(PYY-II)]

P20742 PZP PZP CPAMD6

P78509 RELN RELN

Q6XE38 SG1D4 SCGB1D4 UNQ517/PRO812 Secretoglobin family 1D member

4 (IFN-gamma-inducible

secretoglobin) (IIS)

Q96PL1 SG3A2 SCGB3A2 PNSP1 UGRP1

UNQ566/PRO1128

Secretoglobin family 3A member

2 (Pneumo secretory protein 1)

(PnSP-1) (Uteroglobin-related

protein 1)

Q07699 SCN1B SCN1B Sodium channel subunit beta-1

P01009 A1AT SERPINA1 AAT PI PRO0684

PRO2209

Alpha-1-antitrypsin (Alpha-1

protease inhibitor) (Alpha-1-

antiproteinase) (Serpin A1)

[Cleaved into: Short peptide from

AAT (SPAAT)]

P29622 KAIN SERPINA4 KST PI4 Kallistatin (Kallikrein inhibitor)

(Peptidase inhibitor 4) (PI-4)

(Serpin A4)

P05154 IPSP SERPINA5 PCI PLANH3

PROCI

Plasma serine protease inhibitor

(Acrosomal serine protease

inhibitor) (Plasminogen activator

inhibitor 3) (PAI-3) (PAI3)

(Protein C inhibitor) (PCI) (Serpin

A5)

190

P01008 ANT3 SERPINC1 AT3 PRO0309 Antithrombin-III (ATIII) (Serpin

C1)

P05121 PAI1 SERPINE1 PAI1 PLANH1 Plasminogen activator inhibitor 1

(PAI) (PAI-1) (Endothelial

plasminogen activator inhibitor)

(Serpin E1)

P07093 GDN SERPINE2 PI7 PN1 Glia-derived nexin (GDN)

(Peptidase inhibitor 7) (PI-7)

(Protease nexin 1) (PN-1)

(Protease nexin I) (Serpin E2)

A8MV23 SERP3 SERPINE3 Serpin E3

P36955 PEDF SERPINF1 PEDF PIG35 Pigment epithelium-derived factor

(PEDF) (Cell proliferation-

inducing gene 35 protein) (EPC-1)

(Serpin F1)

P08697 A2AP SERPINF2 AAP PLI Alpha-2-antiplasmin (Alpha-2-

AP) (Alpha-2-plasmin inhibitor)

(Alpha-2-PI) (Serpin F2)

P05155 IC1 SERPING1 C1IN C1NH Plasma protease C1 inhibitor (C1

Inh) (C1Inh) (C1 esterase

inhibitor) (C1-inhibiting factor)

(Serpin G1)

Q99574 NEUS SERPINI1 PI12 Neuroserpin (Peptidase inhibitor

12) (PI-12) (Serpin I1)

O75830 SPI2 SERPINI2 MEPI PI14 Serpin I2 (Myoepithelium-derived

serine protease inhibitor)

(Pancpin) (Pancreas-specific

protein TSA2004) (Peptidase

inhibitor 14) (PI-14)

Q15465 SHH SHH Sonic hedgehog protein (SHH)

(HHG-1) [Cleaved into: Sonic

hedgehog protein N-product;

Sonic hedgehog protein C-

product]

O75093 SLIT1 SLIT1 KIAA0813 MEGF4 SLIL1

X6R3P0 X6R3P0 SLIT2

O94813 SLIT2 SLIT2 SLIL3

P55000 SLUR1 SLURP1 ARS Secreted Ly-6/uPAR-related

protein 1 (SLURP-1) (ARS

component B) (ARS(component

B)-81/S) (Anti-neoplastic urinary

protein) (ANUP)

Q1W4C9 ISK13 SPINK13 HBVDNAPTP1

SPINK5L3

Serine protease inhibitor Kazal-

type 13 (Hepatitis B virus DNA

polymerase transactivated serine

protease inhibitor) (Hespintor)

191

(Serine protease inhibitor Kazal-

type 5-like 3)

Q6IE38 ISK14 SPINK14 SPINK5L2 Serine protease inhibitor Kazal-

type 14

P20155 ISK2 SPINK2 Serine protease inhibitor Kazal-

type 2 (Acrosin-trypsin inhibitor)

(Epididymis tissue protein Li 172)

(HUSI-II)

O60575 ISK4 SPINK4 Serine protease inhibitor Kazal-

type 4 (Peptide PEC-60 homolog)

Q6UWN8 ISK6 SPINK6 UNQ844/PRO1782 Serine protease inhibitor Kazal-

type 6 (Kallikrein inhibitor)

P58062 ISK7 SPINK7 ECG2

UNQ745/PRO1474

Serine protease inhibitor Kazal-

type 7 (Esophagus cancer-related

gene 2 protein) (ECRG-2)

O60687 SRPX2 SRPX2 SRPUL Sushi repeat-containing protein

SRPX2 (Sushi-repeat protein

upregulated in leukemia)

P02808 STAT STATH Statherin

P52823 STC1 STC1 STC Stanniocalcin-1 (STC-1)

Q4LDE5 SVEP1 SVEP1 C9orf13 CCP22 SELOB

Q2MV58 TECT1 TCTN1 TECT1

UNQ9369/PRO34160

Tectonic-1

O75443 TECTA TECTA

Q96PL2 TECTB TECTB Beta-tectorin

P04155 TFF1 TFF1 BCEI PS2 Trefoil factor 1 (Breast cancer

estrogen-inducible protein) (PNR-

2) (Polypeptide P1.A) (hP1.A)

(Protein pS2)

P01135 TGFA TGFA Protransforming growth factor

alpha [Cleaved into: Transforming

growth factor alpha (TGF-alpha)

(EGF-like TGF) (ETGF) (TGF

type 1)]

P10600 TGFB3 TGFB3 Transforming growth factor beta-3

(TGF-beta-3) [Cleaved into:

Latency-associated peptide (LAP)]

Q9UPZ6 THS7A THSD7A KIAA0960

P01033 TIMP1 TIMP1 CLGI TIMP Metalloproteinase inhibitor 1

(Erythroid-potentiating activity)

(EPA) (Fibroblast collagenase

inhibitor) (Collagenase inhibitor)

(Tissue inhibitor of


192

P35625 TIMP3 TIMP3 Metalloproteinase inhibitor 2

(CSC-21K) (Tissue inhibitor of


Q99727 TIMP4 TIMP4 Metalloproteinase inhibitor 3

(Protein MIG-5) (Tissue inhibitor

of metalloproteinases 3) (TIMP-3)

P24821 TENA TNC HXB

Q9UQP3 TENN TNN

Q8WU66 TSEAR TSPEAR C21orf29 Thrombospondin-type laminin G

domain and EAR repeat-

containing protein (TSP-EAR)

P04275 VWF VWF F8VWF

F5GYM2 F5GYM

2

WNT5B Protein Wnt-5b

D6RF94 D6RF94 WNT8A Protein Wnt-8a (Protein Wnt-8d)

O60844 ZG16 ZG16 Zymogen granule membrane

protein 16 (Zymogen granule

protein 16) (hZG16) (Secretory

lectin ZG16)

P21754 ZP3 ZP3 ZP3A ZP3B ZPC Zona pellucida sperm-binding

protein 3 (Sperm receptor)

(ZP3A/ZP3B) (Zona pellucida

glycoprotein 3) (Zp-3) (Zona

pellucida protein C) [Cleaved into:

Processed zona pellucida sperm-

binding protein 3]

Q12836 ZP4 ZP4 ZPB Zona pellucida sperm-binding

protein 4 (Zona pellucida

glycoprotein 4) (Zp-4) (Zona

pellucida protein B) [Cleaved into:

Processed zona pellucida sperm-

binding protein 4]

Q9BS86 ZPBP1 ZPBP ZPBP1 Zona pellucida-binding protein 1

(Sp38)

Q6X784 ZPBP2 ZPBP2 ZPBPL Zona pellucida-binding protein 2

(ZPBP-like protein)

P15151 PVR PVR PVS Poliovirus receptor (Nectin-like

protein 5) (NECL-5) (CD antigen

CD155)

Q9Y5C1 ANGL3 ANGPTL3 ANGPT5

UNQ153/PRO179


(Angiopoietin-5) (ANG-5)


[Cleaved into: ANGPTL3(17-

221); ANGPTL3(17-224)]

193

Q6GPI1 CTRB2 CTRB2 Chymotrypsinogen B2 (EC

3.4.21.1) [Cleaved into:

Chymotrypsin B2 chain A;

Chymotrypsin B2 chain B;

Chymotrypsin B2 chain C]

Q99983 OMD OMD SLRR2C

UNQ190/PRO216

Osteomodulin (Keratan sulfate

proteoglycan osteomodulin)

(KSPG osteomodulin)

(Osteoadherin) (OSAD)

Proteins functionally related to the regulation/modulation of the immune response

Q6UW15 REG3G REG3G PAP1B

UNQ429/PRO162

Regenerating islet-derived protein

3-gamma (REG-3-gamma)

(Pancreatitis-associated protein

1B) (PAP-1B) (Pancreatitis-

associated protein IB) (PAP IB)

(Regenerating islet-derived protein

III-gamma) (REG III) (Reg III-

gamma) [Cleaved into:


3-gamma 16.5 kDa form;


3-gamma 15 kDa form]

P07360 CO8G C8G Complement component C8

gamma chain

O43699 SIGL6 SIGLEC6 CD33L CD33L1

OBBP1

Sialic acid-binding Ig-like lectin 6

(Siglec-6) (CD33 antigen-like 1)

(CDw327) (Obesity-binding

protein 1) (OB-BP1) (CD antigen

CD327)

Q9BY15 AGRE3 ADGRE3 EMR3

UNQ683/PRO1562

Adhesion G protein-coupled

receptor E3 (EGF-like module

receptor 3) (EGF-like module-

containing mucin-like hormone

receptor-like 3)

P02771 FETA AFP HPAFP Alpha-fetoprotein (Alpha-1-

fetoprotein) (Alpha-fetoglobulin)

P28039 AOAH AOAH Acyloxyacyl hydrolase (EC


Acyloxyacyl hydrolase small

subunit; Acyloxyacyl hydrolase

large subunit]

O75882 ATRN ATRN KIAA0548 MGCA

P61769 B2MG B2M CDABP0092 HDCMA22P

Q13072 BAGE1 BAGE BAGE1 B melanoma antigen 1 (B

melanoma antigen) (Antigen

194

MZ2-BA) (Cancer/testis antigen

2.1) (CT2.1)

O95972 BMP15 BMP15 GDF9B Bone morphogenetic protein 15

(BMP-15) (Growth/differentiation

factor 9B) (GDF-9B)

P17213 BPI BPI Bactericidal permeability-

increasing protein (BPI) (CAP 57)

Q9NP55 BPIA1 BPIFA1 LUNX NASG PLUNC

SPLUNC1 SPURT

UNQ787/PRO1606

BPI fold-containing family A

member 1 (Lung-specific protein

X) (Nasopharyngeal carcinoma-

related protein) (Palate lung and

nasal epithelium clone protein)

(Secretory protein in upper

respiratory tracts) (Short

PLUNC1) (SPLUNC1) (Tracheal

epithelium-enriched protein) (Von

Ebner protein Hl)

Q96DR5 BPIA2 BPIFA2 C20orf70 SPLUNC2

UNQ510/PRO1025

BPI fold-containing family A

member 2 (Parotid secretory

protein) (PSP) (Short palate, lung

and nasal epithelium carcinoma-


Q8TDL5 BPIB1 BPIFB1 C20orf114 LPLUNC1

UNQ706/PRO1357

BPI fold-containing family B

member 1 (Long palate, lung and


associated protein 1) (Von Ebner

minor salivary gland protein)

(VEMSGP)

Q8NFQ6 BPIFC BPIFC BPIL2 BPI fold-containing family C

protein (Bactericidal/permeability-

increasing protein-like 2) (BPI-

like 2)

Q13410 BT1A1 BTN1A1 BTN Butyrophilin subfamily 1 member

A1 (BT)

Q6UWK7 CJ099 C10orf99 UNQ1833/PRO3446 Secreted protein C10orf99

(Antimicrobial peptide-57) (AP-

57) (Colon-derived SUSD2

binding factor) (CSBF)

P02745 C1QA C1QA Complement C1q subcomponent

subunit A

P02746 C1QB C1QB Complement C1q subcomponent

subunit B

P02747 C1QC C1QC C1QG Complement C1q subcomponent

subunit C


UNQ753/PRO1484



195

(Collagenous repeat-containing

sequence 26 kDa protein)

(CORS26) (Secretory protein

CORS26)

Q9BXI9 C1QT6 C1QTNF6 CTRP6

UNQ581/PRO1151



Q9BXJ2 C1QT7 C1QTNF7 CTRP7 Complement C1q tumor necrosis


Q9NZP8 C1RL C1RL C1RL1 C1RLP CLSPA Complement C1r subcomponent-

like protein (C1r-LP) (C1r-like

protein) (EC 3.4.21.-) (C1r-like

serine protease analog protein)

(CLSPa)

P01024 CO3 C3 CPAMD1

P0C0L4 CO4A C4A CO4 CPAMD2

P0C0L5 CO4B C4B CO4 CPAMD3; C4B_2

P04003 C4BPA C4BPA C4BP C4b-binding protein alpha chain

(C4bp) (Proline-rich protein)

(PRP)

P07358 CO8B C8B Complement component C8 beta

chain (Complement component 8

subunit beta)

P02748 CO9 C9 Complement component C9

[Cleaved into: Complement

component C9a; Complement

component C9b]

P49913 CAMP CAMP CAP18 FALL39 HSD26 Cathelicidin antimicrobial peptide

(18 kDa cationic antimicrobial

protein) (CAP-18) (hCAP-18)

[Cleaved into: Antibacterial

peptide FALL-39 (FALL-39

peptide antibiotic); Antibacterial

peptide LL-37]

P22362 CCL1 CCL1 SCYA1 C-C motif chemokine 1 (Small-

inducible cytokine A1) (T

lymphocyte-secreted protein I-

309)

P51671 CCL11 CCL11 SCYA11 Eotaxin (C-C motif chemokine 11)

(Eosinophil chemotactic protein)

(Small-inducible cytokine A11)

Q99616 CCL13 CCL13 MCP4 NCC1 SCYA13 C-C motif chemokine 13 (CK-

beta-10) (Monocyte

chemoattractant protein 4)

(Monocyte chemotactic protein 4)

(MCP-4) (NCC-1) (Small-

inducible cytokine A13) [Cleaved

196

into: C-C motif chemokine 13,

long chain; C-C motif chemokine

13, medium chain; C-C motif

chemokine 13, short chain]

Q16627 CCL14 CCL14 NCC2 SCYA14 C-C motif chemokine 14

(Chemokine CC-1/CC-3) (HCC-

1/HCC-3) (HCC-1(1-74)) (NCC-

2) (Small-inducible cytokine A14)

[Cleaved into: HCC-1(3-74);

HCC-1(4-74); HCC-1(9-74)]

Q16663 CCL15 CCL15 MIP5 NCC3 SCYA15 C-C motif chemokine 15

(Chemokine CC-2) (HCC-2)

(Leukotactin-1) (LKN-1) (MIP-1

delta) (Macrophage inflammatory

protein 5) (MIP-5) (Mrp-2b)

(NCC-3) (Small-inducible

cytokine A15) [Cleaved into:

CCL15(22-92); CCL15(25-92);

CCL15(29-92)]

O15467 CCL16 CCL16 ILINCK NCC4

SCYA16

C-C motif chemokine 16

(Chemokine CC-4) (HCC-4)

(Chemokine LEC) (IL-10-

inducible chemokine) (LCC-1)

(Liver-expressed chemokine)

(Lymphocyte and monocyte

chemoattractant) (LMC)

(Monotactin-1) (MTN-1) (NCC-4)


Q92583 CCL17 CCL17 SCYA17 TARC C-C motif chemokine 17 (CC

chemokine TARC) (Small-

inducible cytokine A17) (Thymus

and activation-regulated

chemokine)

P55774 CCL18 CCL18 AMAC1 DCCK1 MIP4

PARC SCYA18

C-C motif chemokine 18

(Alternative macrophage

activation-associated CC

chemokine 1) (AMAC-1) (CC

chemokine PARC) (Dendritic cell

chemokine 1) (DC-CK1)

(Macrophage inflammatory

protein 4) (MIP-4) (Pulmonary

and activation-regulated

chemokine) (Small-inducible

cytokine A18) [Cleaved into:

CCL18(1-68); CCL18(3-69);

CCL18(4-69)]

197

Q99731 CCL19 CCL19 ELC MIP3B SCYA19 C-C motif chemokine 19 (Beta-

chemokine exodus-3) (CK beta-

11) (Epstein-Barr virus-induced

molecule 1 ligand chemokine)

(EBI1 ligand chemokine) (ELC)


protein 3 beta) (MIP-3-beta)


P13500 CCL2 CCL2 MCP1 SCYA2 C-C motif chemokine 2 (HC11)

(Monocyte chemoattractant

protein 1) (Monocyte chemotactic

and activating factor) (MCAF)

(Monocyte chemotactic protein 1)

(MCP-1) (Monocyte secretory

protein JE) (Small-inducible

cytokine A2)

P78556 CCL20 CCL20 LARC MIP3A SCYA20 C-C motif chemokine 20 (Beta-

chemokine exodus-1) (CC

chemokine LARC) (Liver and

activation-regulated chemokine)


protein 3 alpha) (MIP-3-alpha)


[Cleaved into: CCL20(1-67);

CCL20(1-64); CCL20(2-70)]

O00626 CCL22 CCL22 MDC SCYA22 A-

152E5.1

C-C motif chemokine 22 (CC

chemokine STCP-1) (MDC(1-69))

(Macrophage-derived chemokine)


(Stimulated T-cell chemotactic

protein 1) [Cleaved into: MDC(3-

69); MDC(5-69); MDC(7-69)]

O00175 CCL24 CCL24 MPIF2 SCYA24 C-C motif chemokine 24 (CK-

beta-6) (Eosinophil chemotactic

protein 2) (Eotaxin-2) (Myeloid

progenitor inhibitory factor 2)

(MPIF-2) (Small-inducible

cytokine A24)

O15444 CCL25 CCL25 SCYA25 TECK C-C motif chemokine 25

(Chemokine TECK) (Small-

inducible cytokine A25) (Thymus-

expressed chemokine)

Q9Y258 CCL26 CCL26 SCYA26

UNQ216/PRO242

C-C motif chemokine 26 (CC

chemokine IMAC) (Eotaxin-3)


protein 4-alpha) (MIP-4-alpha)

198


(Thymic stroma chemokine-1)

(TSC-1)

Q9Y4X3 CCL27 CCL27 ILC SCYA27 C-C motif chemokine 27 (CC

chemokine ILC) (Cutaneous T-

cell-attracting chemokine)

(CTACK) (ESkine) (IL-11 R-

alpha-locus chemokine)

(Skinkine) (Small-inducible

cytokine A27)

P10147 CCL3 CCL3 G0S19-1 MIP1A SCYA3 C-C motif chemokine 3 (G0/G1

switch regulatory protein 19-1)


protein 1-alpha) (MIP-1-alpha)

(PAT 464.1) (SIS-beta) (Small-

inducible cytokine A3) (Tonsillar

lymphocyte LD78 alpha protein)

[Cleaved into: MIP-1-alpha(4-69)

(LD78-alpha(4-69))]

P16619 CL3L1 CCL3L1 D17S1718 G0S19-2

SCYA3L1; CCL3L3

C-C motif chemokine 3-like 1

(G0/G1 switch regulatory protein

19-2) (LD78-beta(1-70)) (PAT

464.2) (Small-inducible cytokine

A3-like 1) (Tonsillar lymphocyte

LD78 beta protein) [Cleaved into:

LD78-beta(3-70); LD78-beta(5-

70)]

P13236 CCL4 CCL4 LAG1 MIP1B SCYA4 C-C motif chemokine 4 (G-26 T-

lymphocyte-secreted protein)

(HC21) (Lymphocyte activation

gene 1 protein) (LAG-1) (MIP-1-

beta(1-69)) (Macrophage

inflammatory protein 1-beta)

(MIP-1-beta) (PAT 744) (Protein

H400) (SIS-gamma) (Small-

inducible cytokine A4) (T-cell

activation protein 2) (ACT-2)

[Cleaved into: MIP-1-beta(3-69)]

Q8NHW4 CC4L CCL4L1 CCL4L LAG1

SCYA4L1; CCL4L2 CCL4L

SCYA4L2

C-C motif chemokine 4-like

(Lymphocyte activation gene 1

protein) (LAG-1) (Macrophage

inflammatory protein 1-beta)

(MIP-1-beta) (Monocyte

adherence-induced protein 5-

alpha) (Small-inducible cytokine

A4-like)

199

P13501 CCL5 CCL5 D17S136E SCYA5 C-C motif chemokine 5 (EoCP)

(Eosinophil chemotactic cytokine)

(SIS-delta) (Small-inducible

cytokine A5) (T cell-specific

protein P228) (TCP228) (T-cell-

specific protein RANTES)

[Cleaved into: RANTES(3-68);

RANTES(4-68)]

P80098 CCL7 CCL7 MCP3 SCYA6 SCYA7 C-C motif chemokine 7



protein 3) (MCP-3) (NC28)


P80075 CCL8 CCL8 MCP2 SCYA10 SCYA8 C-C motif chemokine 8 (HC14)



protein 2) (MCP-2) (Small-

inducible cytokine A8) [Cleaved

into: MCP-2(6-76)]

Q8TD46 MO2R1 CD200R1 CD200R CRTR2

MOX2R OX2R

UNQ2522/PRO6015

Cell surface glycoprotein CD200

receptor 1 (CD200 cell surface

glycoprotein receptor) (Cell

surface glycoprotein OX2 receptor

1)

P13987 CD59 CD59 MIC11 MIN1 MIN2

MIN3 MSK21

CD59 glycoprotein (1F5 antigen)

(20 kDa homologous restriction

factor) (HRF-20) (HRF20) (MAC-

inhibitory protein) (MAC-IP)

(MEM43 antigen) (Membrane

attack complex inhibition factor)

(MACIF) (Membrane inhibitor of

reactive lysis) (MIRL) (Protectin)

(CD antigen CD59)

P01732 CD8A CD8A MAL T-cell surface glycoprotein CD8

alpha chain (T-lymphocyte

differentiation antigen T8/Leu-2)

(CD antigen CD8a)

P10966 CD8B CD8B CD8B1 T-cell surface glycoprotein CD8

beta chain (CD antigen CD8b)

P00746 CFAD CFD DF PFD Complement factor D (EC

3.4.21.46) (Adipsin) (C3

convertase activator) (Properdin

factor D)

P05156 CFAI CFI IF Complement factor I (EC

3.4.21.45) (C3B/C4B inactivator)

[Cleaved into: Complement factor

200

I heavy chain; Complement factor

I light chain]

P36222 CH3L1 CHI3L1 Chitinase-3-like protein 1 (39 kDa

synovial protein) (Cartilage

glycoprotein 39) (CGP-39) (GP-

39) (hCGP-39) (YKL-40)

Q2VPA4 CR1L CR1L Complement component receptor

1-like protein (Complement C4b-

binding protein CR-1-like protein)

Q9HC73 CRLF2 CRLF2 CRL2 ILXR TSLPR Cytokine receptor-like factor 2

(Cytokine receptor-like 2) (IL-XR)

(Thymic stromal lymphopoietin

protein receptor) (TSLP receptor)

P02741 CRP CRP PTX1 C-reactive protein [Cleaved into:

C-reactive protein(1-205)]

P15509 CSF2R CSF2RA CSF2R CSF2RY Granulocyte-macrophage colony-

stimulating factor receptor subunit

alpha (GM-CSF-R-alpha)

(GMCSFR-alpha) (GMR-alpha)

(CDw116) (CD antigen CD116)

P01037 CYTN CST1 Cystatin-SN (Cystain-SA-I)

(Cystatin-1) (Salivary cystatin-

SA-1)

P01036 CYTS CST4 Cystatin-S (Cystatin-4) (Cystatin-

SA-III) (Salivary acidic protein 1)

O76096 CYTF CST7 Cystatin-F (Cystatin-7) (Cystatin-

like metastasis-associated protein)

(CMAP) (Leukocystatin)

Q5W186 CST9 CST9 CLM CTES7A Cystatin-9 (Cystatin-like

molecule)

P02778 CXL10 CXCL10 INP10 SCYB10 C-X-C motif chemokine 10 (10

kDa interferon gamma-induced

protein) (Gamma-IP10) (IP-10)

(Small-inducible cytokine B10)

[Cleaved into: CXCL10(1-73)]

O14625 CXL11 CXCL11 ITAC SCYB11

SCYB9B

C-X-C motif chemokine 11 (Beta-

R1) (H174) (Interferon gamma-

inducible protein 9) (IP-9)

(Interferon-inducible T-cell alpha

chemoattractant) (I-TAC) (Small-

inducible cytokine B11)

P48061 SDF1 CXCL12 SDF1 SDF1A SDF1B Stromal cell-derived factor 1

(SDF-1) (hSDF-1) (C-X-C motif

chemokine 12) (Intercrine reduced

in hepatomas) (IRH) (hIRH) (Pre-

B cell growth-stimulating factor)

201

(PBSF) [Cleaved into: SDF-1-

beta(3-72); SDF-1-alpha(3-67)]

O43927 CXL13 CXCL13 BCA1 BLC SCYB13 C-X-C motif chemokine 13

(Angie) (B cell-attracting

chemokine 1) (BCA-1) (B

lymphocyte chemoattractant)

(CXC chemokine BLC) (Small-

inducible cytokine B13)

P42830 CXCL5 CXCL5 ENA78 SCYB5 C-X-C motif chemokine 5 (ENA-

78(1-78)) (Epithelial-derived

neutrophil-activating protein 78)

(Neutrophil-activating peptide

ENA-78) (Small-inducible

cytokine B5) [Cleaved into: ENA-

78(8-78); ENA-78(9-78)]

P80162 CXCL6 CXCL6 GCP2 SCYB6 C-X-C motif chemokine 6

(Chemokine alpha 3) (CKA-3)

(Granulocyte chemotactic protein

2) (GCP-2) (Small-inducible

cytokine B6) [Cleaved into:

Small-inducible cytokine B6, N-

processed variant 1; Small-

inducible cytokine B6, N-

processed variant 2; Small-

inducible cytokine B6, N-

processed variant 3]

P10145 IL8 CXCL8 IL8

Q9NRR1 CYTL1 CYTL1 C4orf4

UNQ1942/PRO4425

Neuferricin (Cytochrome b5

domain-containing protein 2)

P59665 DEF1 DEFA1 DEF1 DEFA2 MRS;

DEFA1B

Neutrophil defensin 1 (Defensin,

alpha 1) (HNP-1) (HP-1) (HP1)

[Cleaved into: HP 1-56;

Neutrophil defensin 2 (HNP-2)

(HP-2) (HP2)]

P59666 DEF3 DEFA3 DEF3 Neutrophil defensin 3 (Defensin,

alpha 3) (HNP-3) (HP-3) (HP3)

[Cleaved into: HP 3-56;

Neutrophil defensin 2 (HNP-2)

(HP-2) (HP2)]

P12838 DEF4 DEFA4 DEF4 Neutrophil defensin 4 (Defensin,

alpha 4) (HNP-4) (HP-4)

Q01523 DEF5 DEFA5 DEF5 Defensin-5 (Defensin, alpha 5)

(HD5(20-94)) [Cleaved into:

HD5(23-94); HD5(29-94);

HD5(56-94); HD5(63-94)]

Q01524 DEF6 DEFA6 DEF6 Defensin-6 (Defensin, alpha 6)

202

P60022 DEFB1 DEFB1 BD1 HBD1 Beta-defensin 1 (BD-1) (hBD-1)

(Defensin, beta 1)

P81534 D103A DEFB103A BD3 DEFB103

DEFB3; DEFB103B

Beta-defensin 103 (Beta-defensin

3) (BD-3) (DEFB-3) (HBD3)

(hBD-3) (Defensin, beta 103)

(Defensin-like protein)

Q8NG35 D105A DEFB105A BD5 DEFB105

DEFB5; DEFB105B


5) (BD-5) (DEFB-5) (Defensin,

beta 105)

Q8IZN7 D107A DEFB107A DEFB107 DEFB7;

DEFB107B


7) (BD-7) (DEFB-7) (Defensin,

beta 107)

Q30KR1 DB109 DEFB109P1 DEFB109

DEFB109A; DEFB109P1B

Beta-defensin 109 (Defensin, beta

109) (Defensin, beta 109,

pseudogene 1/1B)

Q30KQ9 DB110 DEFB110 DEFB10 DEFB11

DEFB111


10) (DEFB-10) (Beta-defensin 11)

(DEFB-11) (Beta-defensin 111)

(Defensin, beta 110) (Defensin,

beta 111)

Q30KQ7 DB113 DEFB113 DEFB13 Beta-defensin 113 (Beta-defensin

13) (DEFB-13) (Defensin, beta

113)



114)



115)

Q8N690 DB119 DEFB119 DEFB120 DEFB19

DEFB20 UNQ2449/PRO5729


120) (Beta-defensin 19) (DEFB-

19) (Beta-defensin 20) (DEFB-20)

(Defensin, beta 119) (Defensin,

beta 120) (ESC42-RELA)

Q5J5C9 DB121 DEFB121 DEFB21 Beta-defensin 121 (Beta-defensin


121)

Q8N688 DB123 DEFB123 DEFB23

UNQ1963/PRO4485



123)

Q8NES8 DB124 DEFB124 DEFB24 Beta-defensin 124 (Beta-defensin


124)

Q9BYW3 DB126 DEFB126 C20orf8 DEFB26 Beta-defensin 126 (Beta-defensin


203

126) (Epididymal secretory

protein 13.2) (ESP13.2) (HBD26)

Q9H1M4 DB127 DEFB127 C20orf73 DEFB27

UNQ1956/PRO6071



127)

Q7Z7B8 DB128 DEFB128 DEFB28 Beta-defensin 128 (Beta-defensin


128)

Q9H1M3 DB129 DEFB129 C20orf87 DEFB29

UNQ5794/PRO19599



129)

Q30KQ2 DB130 DEFB130 DEFB30; DEFB130L Beta-defensin 130 (Beta-defensin


130)

P59861 DB131 DEFB131 DEFB31 Beta-defensin 131 (Beta-defensin


131)

Q7Z7B7 DB132 DEFB132 DEFB32

UNQ827/PRO1754


32) (BD-32) (DEFB-32) (Defensin

HEL-75) (Defensin, beta 132)

Q30KQ1 DB133 DEFB133 Beta-defensin 133 (Defensin, beta

133)

Q4QY38 DB134 DEFB134 Beta-defensin 134 (Defensin, beta

134)

Q30KP9 DB135 DEFB135 Beta-defensin 135 (Defensin, beta

135)

Q30KP8 DB136 DEFB136 Beta-defensin 136 (Defensin, beta

136)

O15263 DFB4A DEFB4A DEFB102 DEFB2

DEFB4; DEFB4B

Beta-defensin 4A (Beta-defensin

2) (BD-2) (hBD-2) (Defensin, beta

2) (Skin-antimicrobial peptide 1)

(SAP1)

Q6UX07 DHR13 DHRS13 SDR7C5

UNQ419/PRO853

Dehydrogenase/reductase SDR

family member 13 (EC 1.1.-.-)

(Short chain

dehydrogenase/reductase family

7C member 5)

Q92874 DNSL2 DNASE1L2 DHP1 DNAS1L2 Deoxyribonuclease-1-like 2 (EC

3.1.21.-) (DNase I homolog

protein DHP1)

(Deoxyribonuclease I-like 2)

(DNase I-like 2)

Q9UHL4 DPP2 DPP7 DPP2 QPP Dipeptidyl peptidase 2 (EC

3.4.14.2) (Dipeptidyl

aminopeptidase II) (Dipeptidyl

peptidase 7) (Dipeptidyl peptidase

204

II) (DPP II) (Quiescent cell proline

dipeptidase)

Q14213 IL27B EBI3 IL27B Interleukin-27 subunit beta (IL-27

subunit beta) (IL-27B) (Epstein-

Barr virus-induced gene 3 protein)

(EBV-induced gene 3 protein)

P19235 EPOR EPOR Erythropoietin receptor (EPO-R)

Q7Z5A8 F19A3 FAM19A3 TAFA3 Protein FAM19A3 (Chemokine-

like protein TAFA-3)

P98173 FAM3A FAM3A 2-19 2.19 Protein FAM3A (Cytokine-like

protein 2-19)

P24071 FCAR FCAR CD89 Immunoglobulin alpha Fc receptor

(IgA Fc receptor) (CD antigen

CD89)

P08637 FCG3A FCGR3A CD16A FCG3

FCGR3 IGFR3

Low affinity immunoglobulin

gamma Fc region receptor III-A

(CD16a antigen) (Fc-gamma RIII-

alpha) (Fc-gamma RIII) (Fc-

gamma RIIIa) (FcRIII) (FcRIIIa)

(FcR-10) (IgG Fc receptor III-2)

(CD antigen CD16a)

O75015 FCG3B FCGR3B CD16B FCG3 FCGR3

IGFR3

Low affinity immunoglobulin

gamma Fc region receptor III-B

(Fc-gamma RIII-beta) (Fc-gamma

RIII) (Fc-gamma RIIIb) (FcRIII)

(FcRIIIb) (FcR-10) (IgG Fc

receptor III-1) (CD antigen

CD16b)

Q6BAA4 FCRLB FCRLB FCRL2 FCRLM2

FCRY FREB2

Fc receptor-like B (Fc receptor

homolog expressed in B-cells

protein 2) (FREB-2) (Fc receptor-

like and mucin-like protein 2) (Fc

receptor-like protein 2) (Fc

receptor-related protein Y) (FcRY)

Q8NFU4 FDSCP FDCSP C4orf7

UNQ733/PRO1419

Follicular dendritic cell secreted

peptide (FDC secreted protein)

(FDC-SP)

O15520 FGF10 FGF10 Fibroblast growth factor 10 (FGF-

10) (Keratinocyte growth factor 2)

Q14314 FGL2 FGL2 Fibroleukin (Fibrinogen-like

protein 2) (pT49)

Q9UK05 GDF2 GDF2 BMP9 Growth/differentiation factor 2

(GDF-2) (Bone morphogenetic

protein 9) (BMP-9)

P55259 GP2 GP2 Pancreatic secretory granule

membrane major glycoprotein

205

GP2 (Pancreatic zymogen granule

membrane protein GP-2) (ZAP75)

P12544 GRAA GZMA CTLA3 HFSP Granzyme A (EC 3.4.21.78) (CTL

tryptase) (Cytotoxic T-lymphocyte

proteinase 1) (Fragmentin-1)

(Granzyme-1) (Hanukkah factor)

(H factor) (HF)

P49863 GRAK GZMK TRYP2 Granzyme K (EC 3.4.21.-)

(Fragmentin-3) (Granzyme-3)

(NK-tryptase-2) (NK-Tryp-2)

P51124 GRAM GZMM MET1 Granzyme M (EC 3.4.21.-) (Met-1

serine protease) (Hu-Met-1) (Met-

ase) (Natural killer cell granular

protease)

A8MTL9 HMSD HMSD Serpin-like protein HMSD (Minor

histocompatibility protein HMSD)

(Minor histocompatibility serpin

domain-containing protein)

P15516 HIS3 HTN3 HIS2 Histatin-3 (Basic histidine-rich

protein) (Hst) (Histidine-rich

protein 3) (PB) [Cleaved into:

Histatin-3; His3-(20-44)-peptide

(His3 20/44) (His3-(1-25)-peptide)

(His3 1/25) (Histatin-3 1/25)

(Histatin-6); His3-(20-43)-peptide

(His3 20/43) (His3-(1-24)-peptide)

(His3 1/24) (Histatin-3 1/24)


(His3 20/32) (His3-(1-13)-peptide)

(His3 1/13) (Histatin-3 1/13);

His3-(20-31)-peptide (His3 20/31)

(His3-(1-12)-peptide) (His3 1/12)

(Histatin-3 1/12); His3-(20-30)-

peptide (His3 20/30) (His3-(1-11)-

peptide) (His3 1/11) (Histatin-3

1/11); His3-(24-32)-peptide (His3

24/32) (His3-(5-13)-peptide) (His3

5/13) (Histatin-3 5/13); His3-(24-

31)-peptide (His3 24/31) (His3-(5-

12)-peptide) (His3 5/12) (Histatin-

11) (Histatin-3 5/12); His3-(24-

30)-peptide (His3 24/30) (His3-(5-


12) (Histatin-3 5/11); His3-(25-

32)-peptide (His3 25/32) (His3-(6-


206

3 6/13); His3-(25-30)-peptide

(His3 25/30) (His3-(6-11)-peptide)

(His3 6/11) (Histatin-3 6/11);

His3-(26-32)-peptide (His3 26/32)

(His3-(7-13)-peptide) (His3 7/13)

(Histatin-3 7/13); His3-(26-31)-

peptide (His3 26/31) (His3-(7-12)-


7/12); His3-(26-30)-peptide (His3

26/30) (His3-(7-11)-peptide) (His3

7/11) (Histatin-3 7/11); His3-(31-

51)-peptide (His3 31/51) (His3-

(12-32)-peptide) (His3 12/32)

(Histatin-3 12/32) (Histatin-4);

His3-(31-44)-peptide (His3 31/44)

(His3-(12-25)-peptide) (His3

12/25) (Histatin-3 12/25)


(His3 31/43) (His3-(12-24)-


12/24) (Histatin-7); His3-(32-44)-

peptide (His3 32/44) (His3-(13-

25)-peptide) (His3 13/25)

(Histatin-10) (Histatin-3 13/25);

His3-(32-43)-peptide (His3 32-43)

(His3-(13-24)-peptide) (His3

13/24) (Histatin-3 13/24)


(His3 33/44) (His3-(14-25)-


14/25); His3-(33-43)-peptide

(His3 33/43) (His3-(14-24)-


14/24); His3-(34-44)-peptide

(His3 34/44) (His3-(15-25)-


15/25); His3-(34-43)-peptide

(His3 34/43) (His3-(15-24)-


15/24); His3-(45-51)-peptide

(His3 45/51) (His3-(26-32)-


26/32); His3-(47-51)-peptide

(His3 47/51) (His3-(28-32)-


28/32); His3-(48-51)-peptide

207

(His3 48/51) (His3-(29-32)-


29/32)]

Q14773 ICAM4 ICAM4 LW Intercellular adhesion molecule 4

(ICAM-4) (Landsteiner-Wiener

blood group glycoprotein) (LW

blood group protein) (CD antigen

CD242)

Q9Y6W8 ICOS ICOS AILIM Inducible T-cell costimulator

(Activation-inducible lymphocyte

immunomediatory molecule) (CD

antigen CD278)

P13284 GILT IFI30 GILT IP30 Gamma-interferon-inducible

lysosomal thiol reductase (EC

1.8.-.-) (Gamma-interferon-

inducible protein IP-30)

(Legumaturain)

P01562 IFNA1 IFNA1; IFNA13 Interferon alpha-1/13 (IFN-alpha-

1/13) (Interferon alpha-D) (LeIF

D)

P01566 IFN10 IFNA10 Interferon alpha-10 (IFN-alpha-

10) (Interferon alpha-6L)

(Interferon alpha-C) (LeIF C)


14) (Interferon alpha-H) (LeIF H)

(Interferon lambda-2-H)


16) (Interferon alpha-WA)


17) (Interferon alpha-88)

(Interferon alpha-I') (LeIF I)

(Interferon alpha-T)

P01563 IFNA2 IFNA2 IFNA2A IFNA2B

IFNA2C

Interferon alpha-2 (IFN-alpha-2)

(Interferon alpha-A) (LeIF A)


21) (Interferon alpha-F) (LeIF F)

P05014 IFNA4 IFNA4 Interferon alpha-4 (IFN-alpha-4)

(Interferon alpha-4B) (Interferon

alpha-76) (Interferon alpha-M1)


(Interferon alpha-54) (Interferon

alpha-K) (LeIF K)


(Interferon alpha-J) (LeIF J)

(Interferon alpha-J1) (IFN-alpha-

J1)

208


(Interferon alpha-B) (LeIF B)

(Interferon alpha-B2)

P48551 INAR2 IFNAR2 IFNABR IFNARB Interferon alpha/beta receptor 2

(IFN-R-2) (IFN-alpha binding

protein) (IFN-alpha/beta receptor

2) (Interferon alpha binding

protein) (Type I interferon

receptor 2)

P01574 IFNB IFNB1 IFB IFNB Interferon beta (IFN-beta)

(Fibroblast interferon)

Q86WN2 IFNE IFNE IFNE1 UNQ360/PRO655 Interferon epsilon (IFN-epsilon)

(Interferon epsilon-1)

P01579 IFNG IFNG Interferon gamma (IFN-gamma)

(Immune interferon)

P05000 IFNW1 IFNW1 Interferon omega-1 (Interferon

alpha-II-1)

A6NJS3 IV1U1 IGHV1OR21-1 Putative V-set and

immunoglobulin domain-

containing-like protein

IGHV1OR21-1 (Immunoglobulin

heavy variable 1 orphon 21-1)

A6NJ16 IV4F8 IGHV4OR15-8 VSIG6 Putative V-set and


containing-like protein

IGHV4OR15-8 (Immunoglobulin

heavy variable 4 orphon 15-8)

(Putative V-set and


containing protein 6)

A6NJ69 IGIP IGIP C5orf53 IgA-inducing protein homolog

A6NGN9 IGLO5 IGLON5 IgLON family member 5

Q96ID5 IGS21 IGSF21 Immunoglobulin superfamily

member 21 (IgSF21)

P29459 IL12A IL12A NKSF1 Interleukin-12 subunit alpha (IL-

12A) (Cytotoxic lymphocyte

maturation factor 35 kDa subunit)

(CLMF p35) (IL-12 subunit p35)

(NK cell stimulatory factor chain

1) (NKSF1)

P29460 IL12B IL12B NKSF2 Interleukin-12 subunit beta (IL-

12B) (Cytotoxic lymphocyte

maturation factor 40 kDa subunit)

(CLMF p40) (IL-12 subunit p40)

(NK cell stimulatory factor chain

2) (NKSF2)

209

P35225 IL13 IL13 NC30 Interleukin-13 (IL-13)

Q16552 IL17 IL17A CTLA8 IL17 Interleukin-17A (IL-17) (IL-17A)

(Cytotoxic T-lymphocyte-

associated antigen 8) (CTLA-8)

Q9NRM6 I17RB IL17RB CRL4 EVI27 IL17BR

UNQ2501/PRO19612

Interleukin-17 receptor B (IL-17

receptor B) (IL-17RB) (Cytokine

receptor-like 4) (IL-17 receptor

homolog 1) (IL-17Rh1) (IL17Rh1)

(Interleukin-17B receptor) (IL-

17B receptor)

O95998 I18BP IL18BP Interleukin-18-binding protein

(IL-18BP) (Tadekinig-alfa)

Q9UHD0 IL19 IL19 ZMDA1 Interleukin-19 (IL-19) (Melanoma

differentiation-associated protein-

like protein) (NG.1)

P14778 IL1R1 IL1R1 IL1R IL1RA IL1RT1 Interleukin-1 receptor type 1 (IL-

1R-1) (IL-1RT-1) (IL-1RT1)

(CD121 antigen-like family

member A) (Interleukin-1 receptor

alpha) (IL-1R-alpha) (Interleukin-

1 receptor type I) (p80) (CD

antigen CD121a) [Cleaved into:

Interleukin-1 receptor type 1,

membrane form (mIL-1R1) (mIL-

1RI); Interleukin-1 receptor type

1, soluble form (sIL-1R1) (sIL-

1RI)]

P27930 IL1R2 IL1R2 IL1RB Interleukin-1 receptor type 2 (IL-

1R-2) (IL-1RT-2) (IL-1RT2)


member B) (CDw121b) (IL-1 type

II receptor) (Interleukin-1 receptor

beta) (IL-1R-beta) (Interleukin-1

receptor type II) (CD antigen

CD121b) [Cleaved into:

Interleukin-1 receptor type 2,

membrane form (mIL-1R2) (mIL-

1RII); Interleukin-1 receptor type

2, soluble form (sIL-1R2) (sIL-

1RII)]

Q9NPH3 IL1AP IL1RAP C3orf13 IL1R3 Interleukin-1 receptor accessory

protein (IL-1 receptor accessory

protein) (IL-1RAcP) (Interleukin-

1 receptor 3) (IL-1R-3) (IL-1R3)

Q01638 ILRL1 IL1RL1 DER4 ST2 T1 Interleukin-1 receptor-like 1

(Protein ST2)

210

P18510 IL1RA IL1RN IL1F3 IL1RA Interleukin-1 receptor antagonist

protein (IL-1RN) (IL-1ra) (IRAP)

(ICIL-1RA) (IL1 inhibitor)

(Anakinra)

P60568 IL2 IL2 Interleukin-2 (IL-2) (T-cell growth

factor) (TCGF) (Aldesleukin)

Q9NYY1 IL20 IL20 ZCYTO10

UNQ852/PRO1801

Interleukin-20 (IL-20) (Cytokine

Zcyto10)

Q9GZX6 IL22 IL22 ILTIF ZCYTO18

UNQ3099/PRO10096

Interleukin-22 (IL-22) (Cytokine

Zcyto18) (IL-10-related T-cell-

derived-inducible factor) (IL-TIF)

Q9NPF7 IL23A IL23A SGRF

UNQ2498/PRO5798

Interleukin-23 subunit alpha (IL-

23 subunit alpha) (IL-23-A)

(Interleukin-23 subunit p19) (IL-

23p19)

Q13007 IL24 IL24 MDA7 ST16 Interleukin-24 (IL-24) (Melanoma

differentiation-associated gene 7

protein) (MDA-7) (Suppression of

tumorigenicity 16 protein)

Q8NEV9 IL27A IL27 IL27A IL30 Interleukin-27 subunit alpha (IL-

27 subunit alpha) (IL-27-A)

(IL27-A) (Interleukin-30) (p28)

Q6EBC2 IL31 IL31 Interleukin-31 (IL-31)

Q6ZMJ4 IL34 IL34 C16orf77 Interleukin-34 (IL-34)

P05113 IL5 IL5 Interleukin-5 (IL-5) (B-cell

differentiation factor I)

(Eosinophil differentiation factor)

(T-cell replacing factor) (TRF)

P13232 IL7 IL7 Interleukin-7 (IL-7)

P16871 IL7RA IL7R Interleukin-7 receptor subunit

alpha (IL-7 receptor subunit alpha)

(IL-7R subunit alpha) (IL-7R-

alpha) (IL-7RA) (CDw127) (CD

antigen CD127)

P15248 IL9 IL9 Interleukin-9 (IL-9) (Cytokine

P40) (T-cell growth factor P40)

Q01113 IL9R IL9R Interleukin-9 receptor (IL-9

receptor) (IL-9R) (CD antigen

CD129)

P08476 INHBA INHBA Inhibin beta A chain (Activin beta-

A chain) (Erythroid differentiation

protein) (EDF)

Q8TB96 TIP ITFG1 LNKN-1 TIP CDA08 T-cell immunomodulatory protein

(Protein TIP) (Integrin-alpha FG-

GAP repeat-containing protein 1)

(Linkin)

211

Q9BX67 JAM3 JAM3 UNQ859/PRO1868 Junctional adhesion molecule C

(JAM-C) (JAM-2) (Junctional

adhesion molecule 3) (JAM-3)

P01591 IGJ JCHAIN IGCJ IGJ Immunoglobulin J chain (Joining

chain of multimeric IgA and IgM)

P21583 SCF KITLG MGF SCF Kit ligand (Mast cell growth

factor) (MGF) (Stem cell factor)

(SCF) (c-Kit ligand) [Cleaved

into: Soluble KIT ligand

(sKITLG)]

Q9UEF7 KLOT KL

P18428 LBP LBP Lipopolysaccharide-binding

protein (LBP)

Q08380 LG3BP LGALS3BP M2BP Galectin-3-binding protein

(Basement membrane autoantigen

p105) (Lectin galactoside-binding

soluble 3-binding protein) (Mac-2-

binding protein) (MAC2BP)

(Mac-2 BP) (Tumor-associated

antigen 90K)

P15018 LIF LIF HILDA Leukemia inhibitory factor (LIF)

(Differentiation-stimulating factor)

(D factor) (Melanoma-derived

LPL inhibitor) (MLPLI)

(Emfilermin)

Q8N149 LIRA2 LILRA2 ILT1 LIR7 Leukocyte immunoglobulin-like

receptor subfamily A member 2


member H) (Immunoglobulin-like

transcript 1) (ILT-1) (Leukocyte

immunoglobulin-like receptor 7)

(LIR-7) (CD antigen CD85h)

Q8N6C8 LIRA3 LILRA3 ILT6 LIR4 Leukocyte immunoglobulin-like

receptor subfamily A member 3


member E) (Immunoglobulin-like

transcript 6) (ILT-6) (Leukocyte

immunoglobulin-like receptor 4)

(LIR-4) (Monocyte inhibitory

receptor HM43/HM31) (CD

antigen CD85e)

P01374 TNFB LTA TNFB TNFSF1 Lymphotoxin-alpha (LT-alpha)

(TNF-beta) (Tumor necrosis factor

ligand superfamily member 1)

Q8NDX9 LY65B LY6G5B C6orf19 G5B Lymphocyte antigen 6 complex

locus protein G5b

212

Q5SRR4 LY65C LY6G5C C6orf20 G5C NG33 Lymphocyte antigen 6 complex

locus protein G5c

O95711 LY86 LY86 MD1 Lymphocyte antigen 86 (Ly-86)

(Protein MD-1)

Q9Y6Y9 LY96 LY96 ESOP1 MD2 Lymphocyte antigen 96 (Ly-96)

(ESOP-1) (Protein MD-2)

Q9BZG9 LYNX1 LYNX1 SLURP2 Ly-6/neurotoxin-like protein 1

(Secreted Ly-6/uPAR domain-

containing protein 2) (Secreted

Ly-6/uPAR-related protein 2)

(SLURP-2)

Q6UX82 LYPD8 LYPD8 UNQ511/PRO1026 Ly6/PLAUR domain-containing

protein 8

Q6UWQ5 LYZL1 LYZL1 LYC2

UNQ648/PRO1278

Lysozyme-like protein 1 (EC

3.2.1.17)

Q7Z4W2 LYZL2 LYZL2 Lysozyme-like protein 2

(Lysozyme-2) (EC 3.2.1.17)

O75951 LYZL6 LYZL6 LYC1

UNQ754/PRO1485

Lysozyme-like protein 6 (EC

3.2.1.17)

Q95460 HMR1 MR1 Major histocompatibility complex

class I-related gene protein (MHC

class I-related gene protein) (Class

I histocompatibility antigen-like

protein)

Q969H8 MYDGF MYDGF C19orf10 IL25 Myeloid-derived growth factor

(MYDGF) (Interleukin-25) (IL-

25) (Stromal cell-derived growth

factor SF20)

P02763 A1AG1 ORM1 AGP1 Alpha-1-acid glycoprotein 1 (AGP

1) (Orosomucoid-1) (OMD 1)

P19652 A1AG2 ORM2 AGP2 Alpha-1-acid glycoprotein 2 (AGP

2) (Orosomucoid-2) (OMD 2)

Q9BQ51 PD1L2 PDCD1LG2 B7DC CD273

PDCD1L2 PDL2

Programmed cell death 1 ligand 2

(PD-1 ligand 2) (PD-L2) (PDCD1

ligand 2) (Programmed death

ligand 2) (Butyrophilin B7-DC)

(B7-DC) (CD antigen CD273)

P02776 PLF4 PF4 CXCL4 SCYB4 Platelet factor 4 (PF-4) (C-X-C

motif chemokine 4) (Iroplact)

(Oncostatin-A) [Cleaved into:

Platelet factor 4, short form]

P10720 PF4V PF4V1 CXCL4V1 SCYB4V1 Platelet factor 4 variant (C-X-C

motif chemokine 4 variant)

(CXCL4L1) (PF4alt) (PF4var1)

[Cleaved into: Platelet factor 4

variant(4-74); Platelet factor 4

213

variant(5-74); Platelet factor 4

variant(6-74)]

Q96LB9 PGRP3 PGLYRP3 PGRPIA Peptidoglycan recognition protein

3 (Peptidoglycan recognition

protein I-alpha) (PGLYRPIalpha)

(PGRP-I-alpha) (Peptidoglycan

recognition protein intermediate

alpha)

Q96LB8 PGRP4 PGLYRP4 PGRPIB SBBI67 Peptidoglycan recognition protein

4 (Peptidoglycan recognition

protein I-beta) (PGLYRPIbeta)

(PGRP-I-beta) (Peptidoglycan

recognition protein intermediate

beta)

P19957 ELAF PI3 WAP3 WFDC14 Elafin (Elastase-specific inhibitor)

(ESI) (Peptidase inhibitor 3) (PI-3)

(Protease inhibitor WAP3) (Skin-

derived antileukoproteinase)

(SKALP) (WAP four-disulfide

core domain protein 14)

Q02325 PLGB PLGLB1 PLGL PRGB;

PLGLB2 PLGP1

Plasminogen-like protein B

(Plasminogen-related protein B)

P14222 PERF PRF1 PFP Perforin-1 (P1) (Cytolysin)

(Lymphocyte pore-forming

protein) (PFP)

P13727 PRG2 PRG2 MBP Bone marrow proteoglycan

(BMPG) (Proteoglycan 2)

[Cleaved into: Eosinophil granule

major basic protein (EMBP)

(MBP) (Pregnancy-associated

major basic protein)]

P01236 PRL PRL Prolactin (PRL)

Q9HC23 PROK2 PROK2 BV8 Prokineticin-2 (PK2) (Protein Bv8

homolog)

P07477 TRY1 PRSS1 TRP1 TRY1 TRYP1 Trypsin-1 (EC 3.4.21.4) (Beta-

trypsin) (Cationic trypsinogen)

(Serine protease 1) (Trypsin I)

[Cleaved into: Alpha-trypsin chain

1; Alpha-trypsin chain 2]

P11465 PSG2 PSG2 PSBG2 Pregnancy-specific beta-1-




specific beta-1 glycoprotein E)

(PS-beta-E)

214

Q00888 PSG4 PSG4 CGM4 PSG9 Pregnancy-specific beta-1-




specific beta-1-glycoprotein 9)

(PS-beta-G-9) (PSBG-9)

(Pregnancy-specific glycoprotein

9)

Q15238 PSG5 PSG5 Pregnancy-specific beta-1-



glycoprotein 5) (Fetal liver non-

specific cross-reactive antigen 3)

(FL-NCA-3)

Q96A99 PTX4 PTX4 C16orf38 Pentraxin-4

Q8TD07 N2DL4 RAET1E LETAL N2DL4

ULBP4 UNQ1867/PRO4303

NKG2D ligand 4 (N2DL-4)

(NKG2DL4) (Lymphocyte

effector toxicity activation ligand)

(RAE-1-like transcript 4) (RL-4)

(Retinoic acid early transcript 1E)

Q99969 RARR2 RARRES2 TIG2 Retinoic acid receptor responder

protein 2 (Chemerin) (RAR-

responsive protein TIG2)

(Tazarotene-induced gene 2

protein)

Q06141 REG3A REG3A HIP PAP PAP1 Regenerating islet-derived protein

3-alpha (REG-3-alpha)

(Hepatointestinal pancreatic

protein) (HIP/PAP) (Human

proislet peptide) (Pancreatitis-


(Regenerating islet-derived protein

III-alpha) (Reg III-alpha) [Cleaved

into: Regenerating islet-derived

protein 3-alpha 16.5 kDa form;


3-alpha 15 kDa form]

P12724 ECP RNASE3 ECP RNS3 Eosinophil cationic protein (ECP)

(EC 3.1.27.-) (Ribonuclease 3)

(RNase 3)

Q96QR1 SG3A1 SCGB3A1 HIN1 PNSP2

UGRP2 UNQ629/PRO1245

Secretoglobin family 3A member

1 (Cytokine HIN-1) (High in

normal 1) (Pneumo secretory

protein 2) (PnSP-2) (Uteroglobin-

related protein 2)

215

Q8WVN6 SCTM1 SECTM1 K12 Secreted and transmembrane

protein 1 (Protein K-12)

O95025 SEM3D SEMA3D UNQ760/PRO1491

P01011 AACT SERPINA3 AACT GIG24

GIG25

Alpha-1-antichymotrypsin (ACT)

(Cell growth-inhibiting gene 24/25

protein) (Serpin A3) [Cleaved

into: Alpha-1-antichymotrypsin

His-Pro-less]

Q13291 SLAF1 SLAMF1 SLAM Signaling lymphocytic activation

molecule (CDw150) (IPO-3)

(SLAM family member 1) (CD

antigen CD150)

Q5VX71 SUSD4 SUSD4 UNQ196/PRO222 Sushi domain-containing protein 4

P61812 TGFB2 TGFB2 Transforming growth factor beta-2

(TGF-beta-2) (BSC-1 cell growth

inhibitor) (Cetermin)

(Glioblastoma-derived T-cell

suppressor factor) (G-TSF)

(Polyergin) [Cleaved into:

Latency-associated peptide (LAP)]

Q15661 TRYB1 TPSAB1 TPS1 TPS2 TPSB1 Tryptase alpha/beta-1 (Tryptase-1)

(EC 3.4.21.59) (Tryptase I)

(Tryptase alpha-1)

P20231 TRYB2 TPSB2 TPS2 Tryptase beta-2 (Tryptase-2) (EC

3.4.21.59) (Tryptase II)

Q9NP99 TREM1 TREM1 Triggering receptor expressed on

myeloid cells 1 (TREM-1)

(Triggering receptor expressed on

monocytes 1) (CD antigen

CD354)

Q6UXN2 TRML4 TREML4 TLT4

UNQ9425/PRO34675

Trem-like transcript 4 protein

(TLT-4) (Triggering receptor

expressed on myeloid cells-like

protein 4)

Q969D9 TSLP TSLP Thymic stromal lymphopoietin

Q96RP3 UCN2 UCN2 SRP URP Urocortin-2 (Stresscopin-related

peptide) (Urocortin II) (Ucn II)

(Urocortin-related peptide)

Q9BZM5 N2DL2 ULBP2 N2DL2 RAET1H

UNQ463/PRO791

NKG2D ligand 2 (N2DL-2)

(NKG2DL2) (ALCAN-alpha)

(Retinoic acid early transcript 1H)

(UL16-binding protein 2)

P01282 VIP VIP VIP peptides [Cleaved into:

Intestinal peptide PHV-42

(Peptide histidine valine 42);

Intestinal peptide PHM-27

216

(Peptide histidine methioninamide

27); Vasoactive intestinal peptide

(VIP) (Vasoactive intestinal

polypeptide)]

Q8IW00 VSTM4 VSTM4 C10orf72 V-set and transmembrane domain-

containing protein 4 [Cleaved into:

Peptide Lv]

P47992 XCL1 XCL1 LTN SCYC1 Lymphotactin (ATAC) (C motif

chemokine 1) (Cytokine SCM-1)

(Lymphotaxin) (SCM-1-alpha)

(Small-inducible cytokine C1)

(XC chemokine ligand 1)

Q9UBD3 XCL2 XCL2 SCYC2 Cytokine SCM-1 beta (C motif

chemokine 2) (XC chemokine

ligand 2)

P04217 A1BG A1BG Alpha-1B-glycoprotein (Alpha-1-

B glycoprotein)

Q86SQ3 AGRE4 ADGRE4P EMR4 EMR4P

GPR127 PGR16

Putative adhesion G protein-

coupled receptor E4P (EGF-like

module receptor 4) (EGF-like

module-containing mucin-like

hormone receptor-like 4) (G-

protein coupled receptor 127) (G-

protein coupled receptor PGR16)

Q92485 ASM3B SMPDL3B ASML3B Acid sphingomyelinase-like

phosphodiesterase 3b (ASM-like

phosphodiesterase 3b) (EC 3.1.4.-)

Proteins functionally related to energy production and metabolism

Q96PD5 PGRP2 PGLYRP2 PGLYRPL PGRPL

UNQ3103/PRO10102

N-acetylmuramoyl-L-alanine

amidase (EC 3.5.1.28)

(Peptidoglycan recognition protein

2) (Peptidoglycan recognition

protein long) (PGRP-L)

P01242 SOM2 GH2 Growth hormone variant (GH-V)

(Growth hormone 2) (Placenta-

specific growth hormone)

P22303 ACES ACHE Acetylcholinesterase (AChE) (EC

3.1.1.7)

Q15848 ADIPO ADIPOQ ACDC ACRP30

APM1 GBP28

Adiponectin (30 kDa adipocyte

complement-related protein)

(Adipocyte complement-related 30

kDa protein) (ACRP30)

(Adipocyte, C1q and collagen

domain-containing protein)

(Adipose most abundant gene

217

transcript 1 protein) (apM-1)

(Gelatin-binding protein)

Q9BRR6 ADPGK ADPGK PSEC0260 ADP-dependent glucokinase

(ADP-GK) (ADPGK) (EC

2.7.1.147) (RbBP-35)

P43652 AFAM AFM ALB2 ALBA Afamin (Alpha-albumin) (Alpha-

Alb)

P04745 AMY1 AMY1A AMY1; AMY1B

AMY1; AMY1C AMY1

Alpha-amylase 1 (EC 3.2.1.1)

(1,4-alpha-D-glucan

glucanohydrolase 1) (Salivary

alpha-amylase)

P19961 AMY2B AMY2B Alpha-amylase 2B (EC 3.2.1.1)

(1,4-alpha-D-glucan

glucanohydrolase 2B) (Carcinoid

alpha-amylase)

P02743 SAMP APCS PTX2 Serum amyloid P-component

(SAP) (9.5S alpha-1-glycoprotein)

[Cleaved into: Serum amyloid P-

component(1-203)]

P02652 APOA2 APOA2 Apolipoprotein A-II (Apo-AII)

(ApoA-II) (Apolipoprotein A2)

[Cleaved into: Proapolipoprotein

A-II (ProapoA-II); Truncated

apolipoprotein A-II

(Apolipoprotein A-II(1-76))]

P04114 APOB APOB

Q13790 APOF APOF Apolipoprotein F (Apo-F) (Lipid

transfer inhibitor protein) (LTIP)

Q9BPW4 APOL4 APOL4 Apolipoprotein L4

(Apolipoprotein L-IV) (ApoL-IV)

O95445 APOM APOM G3A NG20 HSPC336 Apolipoprotein M (Apo-M)

(ApoM) (Protein G3a)

Q9BUR5 MIC26 APOO FAM121B MIC23

MIC26 My025

UNQ1866/PRO4302

MICOS complex subunit MIC26

(Apolipoprotein O) (MICOS

complex subunit MIC23) (Protein

FAM121B)

P54793 ARSF ARSF Arylsulfatase F (ASF) (EC 3.1.6.-)

Q5FYB1 ARSI ARSI Arylsulfatase I (ASI) (EC 3.1.6.-)

Q5FYB0 ARSJ ARSJ UNQ372/PRO708 Arylsulfatase J (ASJ) (EC 3.1.6.-)

Q6UWY0 ARSK ARSK TSULF

UNQ630/PRO1246

Arylsulfatase K (ASK) (EC 3.1.6.-

) (Telethon sulfatase)

P06276 CHLE BCHE CHE1 Cholinesterase (EC 3.1.1.8)

(Acylcholine acylhydrolase)

(Butyrylcholine esterase) (Choline

esterase II) (Pseudocholinesterase)

218

P43251 BTD BTD Biotinidase (Biotinase) (EC

3.5.1.12)

P23280 CAH6 CA6 Carbonic anhydrase 6 (EC 4.2.1.1)

(Carbonate dehydratase VI)

(Carbonic anhydrase VI) (CA-VI)

(Salivary carbonic anhydrase)

(Secreted carbonic anhydrase)

P08218 CEL2B CELA2B ELA2B Chymotrypsin-like elastase family

member 2B (EC 3.4.21.71)

(Elastase-2B)

Q9UKY3 CES1P CES1P1 CES4 Putative inactive carboxylesterase

4 (Inactive carboxylesterase 1

pseudogene 1) (Placental

carboxylesterase 3) (PCE-3)

Q5XG92 EST4A CES4A CES8

UNQ440/PRO873

Carboxylesterase 4A (EC 3.1.1.-)

P11597 CETP CETP Cholesteryl ester transfer protein

(Lipid transfer protein I)

Q92496 FHR4 CFHR4 CFHL4 FHR4 Complement factor H-related

protein 4 (FHR-4)

Q9BZP6 CHIA CHIA Acidic mammalian chitinase

(AMCase) (EC 3.2.1.14) (Lung-

specific protein TSA1902)

Q6UXF7 CL18B CLEC18B MRLP1

UNQ306/PRO347

C-type lectin domain family 18

member B (Mannose receptor-like

protein 1)

Q8NCF0 CL18C CLEC18C MRLP3 C-type lectin domain family 18

member C (Mannose receptor-like

protein 3)

P04118 COL CLPS Colipase

Q6UWE3 COLL2 CLPSL2 C6orf126

UNQ3045/PRO9861

Colipase-like protein 2

Q96KN2 CNDP1 CNDP1 CN1 CPGL2

UNQ1915/PRO4380

Beta-Ala-His dipeptidase (EC

3.4.13.20) (CNDP dipeptidase 1)

(Carnosine dipeptidase 1)

(Glutamate carboxypeptidase-like

protein 2) (Serum carnosinase)

P15085 CBPA1 CPA1 CPA Carboxypeptidase A1 (EC

3.4.17.1)

P48052 CBPA2 CPA2 Carboxypeptidase A2 (EC

3.4.17.15)

Q8N4T0 CBPA6 CPA6 CPAH Carboxypeptidase A6 (EC 3.4.17.-

)

P15086 CBPB1 CPB1 CPB PCPB Carboxypeptidase B (EC 3.4.17.2)

(Pancreas-specific protein)

(PASP)

219

Q96IY4 CBPB2 CPB2 Carboxypeptidase B2 (EC

3.4.17.20) (Carboxypeptidase U)

(CPU) (Plasma carboxypeptidase

B) (pCPB) (Thrombin-activable

fibrinolysis inhibitor) (TAFI)

P16870 CBPE CPE Carboxypeptidase E (CPE) (EC

3.4.17.10) (Carboxypeptidase H)

(CPH) (Enkephalin convertase)

(Prohormone-processing

carboxypeptidase)

P17538 CTRB1 CTRB1 CTRB Chymotrypsinogen B (EC


Chymotrypsin B chain A;

Chymotrypsin B chain B;

Chymotrypsin B chain C]

Q6PKH6 DR4L2 DHRS4L2 SDR25C3 Dehydrogenase/reductase SDR

family member 4-like 2 (EC 1.1.-.-

) (Short chain


25C member 3)

A6NNS2 DRS7C DHRS7C SDR32C2 Dehydrogenase/reductase SDR

family member 7C (EC 1.1.-.-)

(Short-chain


32C member 2)

Q9UGM3 DMBT1 DMBT1 GP340

O75356 ENTP5 ENTPD5 CD39L4 PCPH Ectonucleoside triphosphate

diphosphohydrolase 5 (NTPDase

5) (EC 3.6.1.6) (CD39 antigen-like

4) (ER-UDPase) (Guanosine-

diphosphatase ENTPD5) (GDPase

ENTPD5) (EC 3.6.1.42)

(Nucleoside diphosphatase)

(Uridine-diphosphatase ENTPD5)

(UDPase ENTPD5)

Q8NAU1 FNDC5 FNDC5 FRCP2 Fibronectin type III domain-

containing protein 5 (Fibronectin

type III repeat-containing protein

2) [Cleaved into: Irisin]

Q92820 GGH GGH Gamma-glutamyl hydrolase (EC

3.4.19.9) (Conjugase) (GH)

(Gamma-Glu-X carboxypeptidase)

P27352 IF GIF IFMH Gastric intrinsic factor (Intrinsic

factor) (IF) (INF)

Q6UWU2 GLB1L GLB1L UNQ229/PRO262 Beta-galactosidase-1-like protein

(EC 3.2.1.-)

220

Q96SL4 GPX7 GPX7 GPX6 UNQ469/PRO828 Glutathione peroxidase 7 (GPx-7)

(GSHPx-7) (EC 1.11.1.9) (CL683)

Q16661 GUC2B GUCA2B Guanylate cyclase activator 2B

[Cleaved into: Guanylate cyclase

C-activating peptide 2 (Guanylate

cyclase C-activating peptide II)

(GCAP-II); Uroguanylin (UGN)]

P81172 HEPC HAMP HEPC LEAP1

UNQ487/PRO1003

Hepcidin (Liver-expressed

antimicrobial peptide 1) (LEAP-1)

(Putative liver tumor regressor)

(PLTR) [Cleaved into: Hepcidin-

25 (Hepc25); Hepcidin-20

(Hepc20)]

P10997 IAPP IAPP Islet amyloid polypeptide

(Amylin) (Diabetes-associated

peptide) (DAP) (Insulinoma

amyloid peptide)


(Interferon alpha-61) (Interferon

alpha-G) (LeIF G)

Q6UW32 IGFL1 IGFL1 UNQ644/PRO1274 Insulin growth factor-like family

member 2

Q6UWQ7 IGFL2 IGFL2 UNQ645/PRO1275 Insulin growth factor-like family

member 3

Q6UXB1 IGFL3 IGFL3 UNQ483/PRO982

P01308 INS INS Insulin [Cleaved into: Insulin B

chain; Insulin A chain]

P04180 LCAT LCAT Phosphatidylcholine-sterol

acyltransferase (EC 2.3.1.43)

(Lecithin-cholesterol

acyltransferase) (Phospholipid-

cholesterol acyltransferase)

Q6JVE5 LCN12 LCN12 Epididymal-specific lipocalin-12

Q5VSP4 LC1L1 LCN1P1 LCN1L1 Putative lipocalin 1-like protein 1

(Lipocalin 1-like pseudogene 1)

Q8WX39 LCN9 LCN9 Epididymal-specific lipocalin-9

(MUP-like lipocalin)

P48357 LEPR LEPR DB OBR

P11150 LIPC LIPC HTGL Hepatic triacylglycerol lipase (HL)

(Hepatic lipase) (EC 3.1.1.3)

(Lipase member C)

P07098 LIPG LIPF Gastric triacylglycerol lipase (GL)

(Gastric lipase) (EC 3.1.1.3)

Q9Y5X9 LIPE LIPG UNQ387/PRO719 Endothelial lipase (EC 3.1.1.3)

(Endothelial cell-derived lipase)

(EDL) (EL)

221

Q8WWY

8

LIPH LIPH LPDLR MPAPLA1

PLA1B

Lipase member H (LIPH) (EC

3.1.1.-) (LPD lipase-related

protein) (Membrane-associated

phosphatidic acid-selective

phospholipase A1-alpha) (mPA-

PLA1 alpha) (Phospholipase A1

member B)

Q6XZB0 LIPI LIPI LPDL PRED5 Lipase member I (LIPI) (EC

3.1.1.-) (Cancer/testis antigen 17)

(CT17) (LPD lipase) (Membrane-

associated phosphatidic acid-

selective phospholipase A1-beta)

(mPA-PLA1 beta)

Q5VXJ0 LIPK LIPK LIPL2 Lipase member K (EC 3.1.1.-)

(Lipase-like abhydrolase domain-


Q5VYY2 LIPM LIPM LIPL3 Lipase member M (EC 3.1.1.-)



Q5VXI9 LIPN LIPN LIPL4 Lipase member N (EC 3.1.1.-)



P06858 LIPL LPL LIPD Lipoprotein lipase (LPL) (EC

3.1.1.34)

Q9Y2E5 MA2B2 MAN2B2 KIAA0935

Q08431 MFGM MFGE8

A6NG13 MGT4D MGAT4D Alpha-1,3-mannosyl-glycoprotein

4-beta-N-

acetylglucosaminyltransferase-like

protein MGAT4D (EC 2.4.1.-)

O96009 NAPSA NAPSA NAP1 NAPA Napsin-A (EC 3.4.23.-) (Aspartyl

protease 4) (ASP4) (Asp 4)

(Napsin-1) (TA01/TA02)

P61916 NPC2 NPC2 HE1 Epididymal secretory protein E1

(Human epididymis-specific

protein 1) (He1) (Niemann-Pick

disease type C2 protein)

P0DJD8 PEPA3 PGA3 Pepsin A-3 (EC 3.4.23.1)

(Pepsinogen-3)


(Pepsinogen-4)


(Pepsinogen-5)

P20142 PEPC PGC Gastricsin (EC 3.4.23.3)

(Pepsinogen C)

222

O43692 PI15 PI15 CRISP8 P25TI Peptidase inhibitor 15 (PI-15) (25

kDa trypsin inhibitor) (p25TI)

(Cysteine-rich secretory protein 8)

(CRISP-8) (SugarCrisp)

Q53H76 PLA1A PLA1A NMD PSPLA1 Phospholipase A1 member A (EC

3.1.1.-) (Phosphatidylserine-

specific phospholipase A1) (PS-

PLA1)

H3BRW4 H3BRW

4

PLA2G10 hCG_1746186 Phospholipase A(2) (EC 3.1.1.4)

Q8NCC3 PAG15 PLA2G15 LYPLA3

UNQ341/PRO540

Group XV phospholipase A2 (EC

2.3.1.-) (1-O-acylceramide

synthase) (ACS) (LCAT-like

lysophospholipase) (LLPL)

(Lysophospholipase 3)

(Lysosomal phospholipase A2)

(LPLA2)

P04054 PA21B PLA2G1B PLA2 PLA2A

PPLA2

Phospholipase A2 (EC 3.1.1.4)

(Group IB phospholipase A2)

(Phosphatidylcholine 2-

acylhydrolase 1B)

Q5R387 PA2GC PLA2G2C Putative inactive group IIC

secretory phospholipase A2

(Phosphatidylcholine 2-

acylhydrolase-like protein GIIC)

Q13093 PAFA PLA2G7 PAFAH Platelet-activating factor

acetylhydrolase (PAF

acetylhydrolase) (EC 3.1.1.47) (1-

alkyl-2-

acetylglycerophosphocholine

esterase) (2-acetyl-1-

alkylglycerophosphocholine

esterase) (Group-VIIA

phospholipase A2) (gVIIA-PLA2)

(LDL-associated phospholipase

A2) (LDL-PLA(2)) (PAF 2-

acylhydrolase)

P55058 PLTP PLTP Phospholipid transfer protein

(Lipid transfer protein II)

P16233 LIPP PNLIP Pancreatic triacylglycerol lipase

(PL) (PTL) (Pancreatic lipase)

(EC 3.1.1.3)

P54315 LIPR1 PNLIPRP1 PLRP1 Inactive pancreatic lipase-related

protein 1 (PL-RP1)

223

P54317 LIPR2 PNLIPRP2 PLRP2 Pancreatic lipase-related protein 2

(PL-RP2) (EC 3.1.1.26) (EC

3.1.1.3) (Galactolipase)

Q17RR3 LIPR3 PNLIPRP3 Pancreatic lipase-related protein 3

(PL-RP3) (EC 3.1.1.3)

P27169 PON1 PON1 PON Serum paraoxonase/arylesterase 1

(PON 1) (EC 3.1.1.2) (EC

3.1.1.81) (EC 3.1.8.1) (Aromatic

esterase 1) (A-esterase 1) (K-45)

(Serum aryldialkylphosphatase 1)

Q15166 PON3 PON3 Serum paraoxonase/lactonase 3

(EC 3.1.1.2) (EC 3.1.1.81) (EC

3.1.8.1)

Q13162 PRDX4 PRDX4 Peroxiredoxin-4 (EC 1.11.1.15)

(Antioxidant enzyme AOE372)

(AOE37-2) (Peroxiredoxin IV)

(Prx-IV) (Thioredoxin peroxidase

AO372) (Thioredoxin-dependent

peroxide reductase A0372)

P04070 PROC PROC Vitamin K-dependent protein C

Q9BQR3 PRS27 PRSS27 MPN

UNQ1884/PRO4327

Serine protease 27 (EC 3.4.21.-)

(Marapsin) (Pancreasin)

P07602 SAP PSAP GLBA SAP1 Prosaposin (Proactivator

polypeptide) [Cleaved into:

Saposin-A (Protein A); Saposin-B-

Val; Saposin-B (Cerebroside

sulfate activator) (CSAct)

(Dispersin) (Sphingolipid activator

protein 1) (SAP-1)

(Sulfatide/GM1 activator);

Saposin-C (A1 activator) (Co-

beta-glucosidase)

(Glucosylceramidase activator)

(Sphingolipid activator protein 2)

(SAP-2); Saposin-D (Component

C) (Protein C)]

Q6NUJ1 SAPL1 PSAPL1 Proactivator polypeptide-like 1

[Cleaved into: Saposin A-like;

Saposin B-Val-like; Saposin B-

like; Saposin C-like; Saposin D-

like]

Q9NRI6 PYY2 PYY2 Putative peptide YY-2 (Putative

peptide YY2)

P02753 RET4 RBP4 PRO2222 Retinol-binding protein 4 (Plasma

retinol-binding protein) (PRBP)

(RBP) [Cleaved into: Plasma

224

retinol-binding protein(1-182);

Plasma retinol-binding protein(1-

181); Plasma retinol-binding

protein(1-179); Plasma retinol-

binding protein(1-176)]

P05451 REG1A REG1A PSPS PSPS1 REG Lithostathine-1-alpha (Islet cells

regeneration factor) (ICRF) (Islet

of Langerhans regenerating

protein) (REG) (Pancreatic stone

protein) (PSP) (Pancreatic thread

protein) (PTP) (Regenerating islet-

derived protein 1-alpha) (REG-1-

alpha) (Regenerating protein I

alpha)

P35542 SAA4 SAA4 CSAA Serum amyloid A-4 protein

(Constitutively expressed serum

amyloid A protein) (C-SAA)

Q8IW75 SPA12 SERPINA12 Serpin A12 (OL-64) (Visceral

adipose tissue-derived serine

protease inhibitor) (Vaspin)

(Visceral adipose-specific serpin)

Q9HAT2 SIAE SIAE YSG2 Sialate O-acetylesterase (EC

3.1.1.53) (H-Lse) (Sialic acid-

specific 9-O-acetylesterase)

P17405 ASM SMPD1 ASM Sphingomyelin phosphodiesterase

(EC 3.1.4.12) (Acid

sphingomyelinase) (aSMase)

Q92484 ASM3A SMPDL3A ASML3A Acid sphingomyelinase-like

phosphodiesterase 3a (ASM-like

phosphodiesterase 3a) (EC 3.1.4.-)

P00995 ISK1 SPINK1 PSTI Serine protease inhibitor Kazal-

type 1 (Pancreatic secretory

trypsin inhibitor) (Tumor-

associated trypsin inhibitor)

(TATI)

P20061 TCO1 TCN1 TC1 Transcobalamin-1 (TC-1)

(Haptocorrin) (HC) (Protein R)

(Transcobalamin I) (TC I) (TCI)

P20062 TCO2 TCN2 TC2 Transcobalamin-2 (TC-2)

(Transcobalamin II) (TC II) (TCII)

P01222 TSHB TSHB Thyrotropin subunit beta

(Thyroid-stimulating hormone

subunit beta) (TSH-B) (TSH-beta)

(Thyrotropin beta chain)

(Thyrotropin alfa)

225

P02766 TTHY TTR PALB Transthyretin (ATTR)

(Prealbumin) (TBPA)

P55089 UCN1 UCN Urocortin

O95399 UTS2 UTS2 UNQ525/PRO1068 Urotensin-2 (Urotensin II) (U-II)

(UII)

Q765I0 UTS2B UTS2B URP UTS2D Urotensin-2B (Urotensin II-related

peptide) (Urotensin IIB) (U-IIB)

(UIIB) (Urotensin-2 domain-

containing protein)

Q13231 CHIT1 CHIT1 Chitotriosidase-1 (EC 3.2.1.14)

(Chitinase-1)

A5D8T8 CL18A CLEC18A MRLP2 C-type lectin domain family 18

member A (Mannose receptor-like

protein 2)

P04746 AMYP AMY2A Pancreatic alpha-amylase (PA)

(EC 3.2.1.1) (1,4-alpha-D-glucan

glucanohydrolase)

P80188 NGAL LCN2 HNL NGAL Neutrophil gelatinase-associated

lipocalin (NGAL) (25 kDa alpha-

2-microglobulin-related subunit of

MMP-9) (Lipocalin-2) (Oncogene

24p3) (Siderocalin LCN2) (p25)

Q9NZK5 CECR1 CECR1 ADA2 ADGF IDGFL Adenosine deaminase CECR1 (EC

3.5.4.4) (Cat eye syndrome critical

region protein 1)

Proteins of unknown function

Q6P093 ADCL2 AADACL2 Arylacetamide deacetylase-like 2

(EC 3.1.1.-)

Q5VST6 AB17B ABHD17B C9orf77 FAM108B1

CGI-67

Protein ABHD17B (EC 3.-.-.-)

(Alpha/beta hydrolase domain-

containing protein 17B)

(Abhydrolase domain-containing

protein 17B)

O43827 ANGL7 ANGPTL7 CDT6

UNQ313/PRO356


(Angiopoietin-like factor)


(Cornea-derived transcript 6

protein)

P0DMC3 ELA APELA ELA TDL Apelin receptor early endogenous

ligand (Protein Elabela) (Protein

Toddler)

Q86Y30 BAGE2 BAGE2 B melanoma antigen 2

(Cancer/testis antigen 2.2) (CT2.2)

Q86Y29 BAGE3 BAGE3 B melanoma antigen 3


226

Q86Y28 BAGE4 BAGE4 MLL3P B melanoma antigen 4


Q7Z5Y6 BMP8A BMP8A Bone morphogenetic protein 8A

(BMP-8A)

P34820 BMP8B BMP8B BMP8 Bone morphogenetic protein 8B

(BMP-8) (BMP-8B) (Osteogenic

protein 2) (OP-2)

Q86YQ2 LATH BPIFA4P BASE LATH Putative BPIFA4P protein (BPI

fold containing family A, member

4, pseudogene) (Breast cancer and

salivary gland-expressed protein)

(Putative latherin)

Q8N4F0 BPIB2 BPIFB2 BPIL1 C20orf184

LPLUNC2 UNQ2489/PRO5776

BPI fold-containing family B

member 2

(Bactericidal/permeability-

increasing protein-like 1) (BPI-

like 1) (Long palate, lung and


associated protein 2) (RYSR)

P59827 BPIB4 BPIFB4 C20orf186 LPLUNC4 BPI fold-containing family B

member 4 (Ligand-binding protein

RY2G5) (Long palate, lung and



Q8NFQ5 BPIB6 BPIFB6 BPIL3 BPI fold-containing family B

member 6

(Bactericidal/permeability-

increasing protein-like 3)

Q8N8R5 CB069 C2orf69 UPF0565 protein C2orf69

P23435 CBLN1 CBLN1 Cerebellin-1 (Precerebellin)

[Cleaved into: Cerebellin (CER);

[des-Ser1]-cerebellin]

Q6UW01 CBLN3 CBLN3 UNQ755/PRO1486 Cerebellin-3

Q9NTU7 CBLN4 CBLN4 CBLNL1

UNQ718/PRO1382

Cerebellin-4 (Cerebellin-like

glycoprotein 1)

Q9H6E4 CC134 CCDC134 Coiled-coil domain-containing

protein 134

Q04900 MUC24 CD164 Sialomucin core protein 24

(MUC-24) (Endolyn) (Multi-

glycosylated core protein 24)

(MGC-24) (MGC-24v) (CD

antigen CD164)

Q5VXM1 CDCP2 CDCP2 CUB domain-containing protein 2

Q6NT32 EST5A CES5A CES7 Carboxylesterase 5A (EC 3.1.1.1)

(Carboxylesterase-like urinary

227

excreted protein homolog)

(Cauxin)

P01215 GLHA CGA Glycoprotein hormones alpha

chain (Anterior pituitary

glycoprotein hormones common

subunit alpha)

(Choriogonadotropin alpha chain)

(Chorionic gonadotrophin subunit

alpha) (CG-alpha) (Follicle-

stimulating hormone alpha chain)

(FSH-alpha) (Follitropin alpha

chain) (Luteinizing hormone alpha

chain) (LSH-alpha) (Lutropin

alpha chain) (Thyroid-stimulating

hormone alpha chain) (TSH-alpha)

(Thyrotropin alpha chain)

H9KV56 H9KV56 CGB2 Choriogonadotropin subunit beta

variant 2

P0DN87 CGB7 CGB7 Choriogonadotropin subunit beta 7

Q9BWS9 CHID1 CHID1 GL008 PSEC0104

SB139

Chitinase domain-containing

protein 1 (Stabilin-1-interacting

chitinase-like protein) (SI-CLP)

Q9Y6N3 CLCA3 CLCA3P CLCA3 Calcium-activated chloride

channel regulator family member

3 (Calcium-activated chloride

channel family member 3)

(hCLCA3)

A2RUU4 COLL1 CLPSL1 C6orf127 Colipase-like protein 1

Q9UI42 CBPA4 CPA4 CPA3

UNQ694/PRO1339

Carboxypeptidase A4 (EC 3.4.17.-

) (Carboxypeptidase A3)

Q8WXQ8 CBPA5 CPA5 Carboxypeptidase A5 (EC 3.4.17.-

)

P15169 CBPN CPN1 ACBP Carboxypeptidase N catalytic

chain (CPN) (EC 3.4.17.3)

(Anaphylatoxin inactivator)

(Arginine carboxypeptidase)

(Carboxypeptidase N polypeptide

1) (Carboxypeptidase N small

subunit) (Kininase-1) (Lysine

carboxypeptidase) (Plasma

carboxypeptidase B) (Serum

carboxypeptidase N) (SCPN)

P22792 CPN2 CPN2 ACBP Carboxypeptidase N subunit 2

(Carboxypeptidase N 83 kDa

chain) (Carboxypeptidase N large

subunit) (Carboxypeptidase N

228

polypeptide 2) (Carboxypeptidase

N regulatory subunit)

P24387 CRHBP CRHBP CRFBP Corticotropin-releasing factor-

binding protein (CRF-BP) (CRF-

binding protein) (Corticotropin-

releasing hormone-binding

protein) (CRH-BP)

P07498 CASK CSN3 CASK CSN10 CSNK Granulocyte colony-stimulating

factor (G-CSF) (Pluripoietin)

(Filgrastim) (Lenograstim)

P09228 CYTT CST2 Cystatin-SA (Cystatin-2)

(Cystatin-S5)

Q5W188 CST9P CST9LP1 Putative cystatin-9-like protein

CST9LP1 (Cystatin-9-like

pseudogene 1)

Q6UWP2 DHR11 DHRS11 SDR24C1

UNQ836/PRO1774

Dehydrogenase/reductase SDR

family member 11 (EC 1.1.-.-)

(Short-chain


24C member 1)

P24855 DNAS1 DNASE1 DNL1 DRNI Deoxyribonuclease-1 (EC

3.1.21.1) (Deoxyribonuclease I)

(DNase I) (Dornase alfa)

Q7Z5P4 DHB13 HSD17B13 SCDR9 SDR16C3

HMFN0376 UNQ497/PRO1014

17-beta-hydroxysteroid

dehydrogenase 13 (17-beta-HSD

13) (EC 1.1.-.-) (Short chain


16C member 3) (Short-chain

dehydrogenase/reductase 9)

Q8N0V4 LGI2 LGI2 KIAA1916 LGIL2 Leucine-rich repeat LGI family

member 2 (LGI1-like protein 2)

(Leucine-rich glioma-inactivated

protein 2)

Q6UXI9 NPNT NPNT EGFL6L POEM

UNQ295/PRO334

Nephronectin (Preosteoblast EGF-

like repeat protein with MAM

domain) (Protein EGFL6-like)

Q9GZU5 NYX NYX CLRP Nyctalopin

O95897 NOE2 OLFM2 NOE2 Noelin-2 (Olfactomedin-2)

Q96PB7 NOE3 OLFM3 NOE3

UNQ1924/PRO4399

Noelin-3 (Olfactomedin-3)

(Optimedin)

A8MZH6 OOSP1 OOSP1 Putative oocyte-secreted protein 1

homolog

Q3ZCN5 OTOGL OTOGL C12orf64

Q7RTZ1 OVCH2 OVCH2 OVTN Ovochymase-2 (EC 3.4.21.-)

(Oviductin)

229

Q8WXA2 PATE1 PATE1 PATE Prostate and testis expressed

protein 1

Q6UY27 PATE2 PATE2 C11orf38

UNQ3112/PRO10144

Prostate and testis expressed

protein 2 (PATE-like protein M)

(PATE-M)

B3GLJ2 PATE3 PATE3 Prostate and testis expressed

protein 3 (Acrosomal vesicle

protein HEL-127) (PATE-like

protein DJ) (PATE-DJ)

E5RFR1 E5RFR1 PENK Proenkephalin-A (Fragment)

Q9HBJ0 PLAC1 PLAC1 Placenta-specific protein 1

Q6GTS8 P20D1 PM20D1 Probable carboxypeptidase

PM20D1 (EC 3.4.17.-) (Peptidase

M20 domain-containing protein 1)

Q9BSG0 PADC1 PRADC1 C2orf7 PAP21 UNQ833/PRO1760

Q9P1C3 YN010 PRO2829 Putative uncharacterized protein

PRO2829

A6NIE9 PRS29 PRSS29P ISP2 Putative serine protease 29 (EC

3.4.21.-) (Implantation serine

proteinase 2-like protein) (ISP2-

like protein)

A4D1T9 PRS37 PRSS37 TRYX2 Probable inactive serine protease

37 (Probable inactive trypsin-X2)

A1L453 PRS38 PRSS38 MPN2 Serine protease 38 (EC 3.4.21.-)

(Marapsin-2)

Q7Z5A4 PRS42 PRSS42 TESSP2 Serine protease 42 (EC 3.4.21.-)

(Testis serine protease 2)

E7EML9 PRS44 PRSS44 TESSP4 Serine protease 44 (EC 3.4.21.-)

(Testis serine protease 4) (TESSP-

4)

A8MTI9 PRS47 PRSS47 Putative serine protease 47 (EC

3.4.21.-)

Q7RTY5 PRS48 PRSS48 ESSPL Serine protease 48 (EC 3.4.21.-)

(Epidermis-specific serine

protease-like protein)

Q6PEW0 PRS54 PRSS54 KLKBL4 Inactive serine protease 54

(Cancer/testis antigen 67) (CT67)

(Plasma kallikrein-like protein 4)

Q8IYP2 PRS58 PRSS58 TRY1 TRYX3

UNQ2540/PRO6090

Serine protease 58 (EC 3.4.21.4)

(Trypsin-X3)

Q5JQD4 PYY3 PYY3 Putative peptide YY-3 (Putative

peptide YY3) (PYY-III)

P00797 RENI REN Renin (EC 3.4.23.15)

(Angiotensinogenase)

230

P34096 RNAS4 RNASE4 RNS4 Ribonuclease 4 (RNase 4) (EC

3.1.27.-)

P11684 UTER SCGB1A1 CC10 CCSP UGB Uteroglobin (Clara cell

phospholipid-binding protein)

(CCPBP) (Clara cells 10 kDa

secretory protein) (CC10)

(Secretoglobin family 1A member

1) (Urinary protein 1) (UP-1)

(UP1) (Urine protein 1)

Q8TD33 SG1C1 SCGB1C1 Secretoglobin family 1C member

1 (Secretoglobin RYD5)

P0DMR2 SG1C2 SCGB1C2 Secretoglobin family 1C member

2

Q9HB40 RISC SCPEP1 RISC SCP1 MSTP034

UNQ265/PRO302

Retinoid-inducible serine

carboxypeptidase (EC 3.4.16.-)

(Serine carboxypeptidase 1)

Q9UK55 ZPI SERPINA10 ZPI

UNQ707/PRO1358

Protein Z-dependent protease

inhibitor (PZ-dependent protease

inhibitor) (PZI) (Serpin A10)

P08185 CBG SERPINA6 CBG Corticosteroid-binding globulin

(CBG) (Serpin A6) (Transcortin)

P05543 THBG SERPINA7 TBG Thyroxine-binding globulin

(Serpin A7) (T4-binding globulin)

P05120 PAI2 SERPINB2 PAI2 PLANH2 Plasminogen activator inhibitor 2

(PAI-2) (Monocyte Arg-serpin)

(Placental plasminogen activator

inhibitor) (Serpin B2) (Urokinase

inhibitor)

P0C7L1 ISK8 SPINK8 Serine protease inhibitor Kazal-

type 8

Q5DT21 ISK9 SPINK9 LEKTI2 Serine protease inhibitor Kazal-

type 9 (Lymphoepithelial Kazal-

type-related inhibitor 2)

P49223 SPIT3 SPINT3 Kunitz-type protease inhibitor 3

(HKIB9)

Q6UDR6 SPIT4 SPINT4 C20orf137 Kunitz-type protease inhibitor 4

P01266 THYG TG

Q9P2K2 TXD16 TXNDC16 KIAA1344

P07911 UROM UMOD Uromodulin (Tamm-Horsfall

urinary glycoprotein) (THP)

[Cleaved into: Uromodulin,

secreted form]

Q6UY13 YB003 UNQ5830/PRO19650/PRO1981

6

Putative uncharacterized protein

UNQ5830/PRO19650/PRO19816

231

Q9H1F0 WF10A WFDC10A C20orf146 WAP10 WAP four-disulfide core domain

protein 10A (Putative protease

inhibitor WAP10A)

Q8IUB3 WF10B WFDC10B WAP12 Protein WFDC10B

Q8NEX5 WFDC9 WFDC9 WAP9 Protein WFDC9

P60852 ZP1 ZP1 Zona pellucida sperm-binding

protein 1 (Zona pellucida

glycoprotein 1) (Zp-1) [Cleaved

into: Processed zona pellucida

sperm-binding protein 1]

Documents

Role of Amylase in Ovarian Cancer