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Using Pathway-tools for phenotype-directed curation Jeremy Zucker Broad Institute of MIT and Harvard Boston University

Using Pathway-tools for phenotype-directed curation

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Using Pathway-tools for phenotype-directed curation. Jeremy Zucker Broad Institute of MIT and Harvard Boston University. Genome sequence to metabolic reconstruction. Genome sequence to metabolic model. Elements. Pathways. Literature . Metadata. Nutrient media ( Vogels ). Complexes. - PowerPoint PPT Presentation

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Page 1: Using Pathway-tools for phenotype-directed  curation

Using Pathway-tools for phenotype-directed curation

Jeremy ZuckerBroad Institute of MIT and Harvard

Boston University

Page 2: Using Pathway-tools for phenotype-directed  curation

GENOME SEQUENCE TO METABOLIC RECONSTRUCTION

Page 3: Using Pathway-tools for phenotype-directed  curation

Genome sequence to metabolic modelPathways Literature

Nutrient media(Vogels)

NeurosporaCyc

Elements Metadata

Complexes

Reactions

Transporters

Biomass composition

Page 4: Using Pathway-tools for phenotype-directed  curation

EFICAz2 predicts enzymes

Deci

sion

tree

Databases

HMMs

FDR

SVM

9934 protein sequences

1993 enzymes1770 reactions

BMC Bioinformatics 2009, 10:107

Page 5: Using Pathway-tools for phenotype-directed  curation

Protein Complex editor182 reactions with isozymes or complexes

56 complexes experimentally validated through literature search

• 2-oxoisovalerate alpha subunit• 2-oxoisovalerate beta subunit

…• fatty acid synthase betasubunit dehydratase• fatty acid synthase alpha subunit reductase

Identify multiple genes of reaction

Allow curator to validate potential complexes

2-oxoisovalerate complex

Present all possible combinations of

complexes

Fatty acid synthasecomplex

Page 6: Using Pathway-tools for phenotype-directed  curation

Transport inference parser (TIP)9934 free-text Protein annotations

442 transport reactions

• MFS glucose transporter• ATP synthase

…• sucrose transporter

Filter proteins for transporters

Infer multimeric complex

Infer substrate

Infer energy-coupling mechanism

Bioinformatics (2008) 24 (13): i259-i267.

Page 7: Using Pathway-tools for phenotype-directed  curation

Pathologic predicts pathways1770 enzyme-catalyzedreactions

893 reactions assigned to 265 Pathways

… …

X = #rxns in metacyc pwy

Y = #rxns with enzyme evidence

Z = #unique rxns in pwy

P(X|Y|Z) = prob of pwy in Neurospora

Science 293:2040-4, 2001.

Page 8: Using Pathway-tools for phenotype-directed  curation

Literature curation validates pathways

523 citations associated with 265 pathways 56 complexes524 genes

Page 9: Using Pathway-tools for phenotype-directed  curation

PHENOTYPE-DIRECTED CURATION

Page 10: Using Pathway-tools for phenotype-directed  curation

Metabolic Model+

Steady State Assumption

=

Predict Rate of Biomass

Production

Nutrient Uptake

Biom

ass C

ompo

nent

s

Knockout Phenotype Prediction

Page 11: Using Pathway-tools for phenotype-directed  curation

Knockout Phenotype PredictionNutrient Uptake

Biom

ass C

ompo

nent

s

• Simulate KO by removing reaction

• Are any biomass components blocked when applying FBA?– No: non-essential

gene– Yes: essential gene

Page 12: Using Pathway-tools for phenotype-directed  curation

Why is it useful?

Page 13: Using Pathway-tools for phenotype-directed  curation
Page 14: Using Pathway-tools for phenotype-directed  curation

Phenotype-directed curation

Page 15: Using Pathway-tools for phenotype-directed  curation

461 curated minimal media viable and essential genes

Page 16: Using Pathway-tools for phenotype-directed  curation

Minimal media gene essentiality training set

Predicted

Growth No-growth

Observed Growth 103 (TP) 0 (FN)

No-growth 2 (FP) 46 (TN)

Sensitivity TP/(TP+FN) 100%

Specificity TN/(TN+FP) 95.8%

Page 17: Using Pathway-tools for phenotype-directed  curation

105 auxotroph supplemental rescue phenotypes

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Supplemental rescue training set

Predicted

Growth No-growth

Observed Growth 74 (TP) 3 (FN)

Sensitivity TP/(TP+FN) 96.1%

Page 19: Using Pathway-tools for phenotype-directed  curation

Final metabolic reconstruction224 Pathways 523 Citations

Nutrient media(Vogels)

NeurosporaCyc

Elements Metadata

56 Complexes

1650 Reactions

442 Transporters

Biomass composition

Page 20: Using Pathway-tools for phenotype-directed  curation

Independent test set validation

Page 21: Using Pathway-tools for phenotype-directed  curation

Minimal media gene essentiality test set

Predicted

Growth No-growth

Observed Growth 274 (TP) 20 (FN)

No-growth 1 (FP) 15 (TN)

Viable predicted/observed (sensitivity): 93.2%Essential predicted/observed (specificity): 93.8%

Page 22: Using Pathway-tools for phenotype-directed  curation

Comparison of model organisms under minimal media

Yeast 4.01 E.coli iJO13662 Neurospora

Viable Predicted/ Observed

691/772=89.5% 1079/1159=91.2% 274/294=93.2%

Essential Predicted/Observed

49/152=32.3% 168/207=81.2% 15/16=93.8%

[1] Dobson et al. BMC Systems Biology 2010, 4:145[2] Molecular Systems Biology 7 Article number: 535

Page 23: Using Pathway-tools for phenotype-directed  curation

Supplemental rescue test set

Predicted

Growth No-growth

Observed Growth 23 (TP) 5 (FN)

Rescues predicted/observed (sensitivity): 82.1%

trp-1,3 rescued by tryptophannic-3 rescued by nicotinamidecys-11 rescued by sulfate, thiosulfite, methionine, cysteine

Page 24: Using Pathway-tools for phenotype-directed  curation

MULTIPLE KNOCKOUTS

Page 25: Using Pathway-tools for phenotype-directed  curation

Synthetic Lethality

Page 26: Using Pathway-tools for phenotype-directed  curation

Pathway interpretation

Page 27: Using Pathway-tools for phenotype-directed  curation

Synthetic lethal rescues computationally predicted

Page 28: Using Pathway-tools for phenotype-directed  curation

Pathway interpretation

Page 29: Using Pathway-tools for phenotype-directed  curation

Phenotype arrays

Page 30: Using Pathway-tools for phenotype-directed  curation

AcknowledgementsBoston UniversityJames GalaganJonathan Dreyfuss Andrew Krueger

OHSUHeather Hood

Texas A&MJoe Sturino Matt Sachs

UC RiversideKathy BorkovichJacqueline Servin

University of LeedsAlan Radford

SRIPeter KarpMario Latendresse

Broad InstituteChristian Stolte

Citizen ScientistLinda Ocasio