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Greg Sykes, Robyn Hedges, Ming Hui, and Yvonne Reid

Greg Sykes, Robyn Hedges, Ming Hui, and Yvonne Reid

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Page 1: Greg Sykes, Robyn Hedges, Ming Hui, and Yvonne Reid

Greg Sykes, Robyn Hedges, Ming Hui, and Yvonne Reid

Page 2: Greg Sykes, Robyn Hedges, Ming Hui, and Yvonne Reid

STR Analysis: From Cells To Data

Cultured Cells

DNA Extraction (MoBio UltraClean DNA

Bloodspin Kit, FTA Paper)

PowerPlex 1.2 PCR(Promega)

Electrophoretic Fractionation and

Fragment Detection(ABI 310)

GeneScan 3.1 and Genotyper 2.0 Analysis (peak detection and labeling)

Import Into In-House Database for Comparison

(Paradox macro)

Page 3: Greg Sykes, Robyn Hedges, Ming Hui, and Yvonne Reid

Table 1. The Promega PowerPlex 1.2 STR Loci

STR Locus Chromosomal Location 5’3’ Repeat

Amelogenin Xp22.10-22.3 and Y n/a

CSF1PO 5q33.3-34 AGAT

D5S818 5q21-q31 AGAT

D7S820 7q AGAT

D13S317 13q22-q31 AGAT

D16S539 16q24-qter AGAT

TH01 11p15.5 AATG

TPOX 2p23-pter AATG

vWA 12p12-pter AGAT

Probability of a random match is lower than 1 in 108.ATCC holds over 2,000 human cell lines.

Page 4: Greg Sykes, Robyn Hedges, Ming Hui, and Yvonne Reid

Cell Line Workflow and How It Relates To the STR Analysis

Depositor Material/Token Freeze

Master Cell Bank(Seed Freeze)

Comparison Profiles• Cross-compared against all profiles of that cell line

Working Cell Bank(Distribution Freeze)

Profile Baseline• Designated as oldest, most original material• Cross-compared against all existing profiles at ATCC

Page 5: Greg Sykes, Robyn Hedges, Ming Hui, and Yvonne Reid

Unlike STR profiles generated from normal human material, valid data from tumor cell lines are more complex due to:

• Heterogeneous original population (differences between cancer cells within the same mass) and subsequent selection.

• Addition or loss of chromosomal material due to uneven karyokinesis and cell hybrids.

• Mutation events occurring within the DNA sequence.

• Genetic drift with subsequent culture expansions.

Page 6: Greg Sykes, Robyn Hedges, Ming Hui, and Yvonne Reid

Figure 1. Example of a standard karyotype from CCL-75 (WI 38), normal lung tissue (n=46)

Page 7: Greg Sykes, Robyn Hedges, Ming Hui, and Yvonne Reid

Figure 2. Example of a karyotype from CRL-2061 (SJRH30), a rhabdomyosarcoma cell line (n=84)

Page 8: Greg Sykes, Robyn Hedges, Ming Hui, and Yvonne Reid

Figure 3. This relatively balanced-peak electropharogram of a colon adenocarcinoma cell line is atypical of cell line profiles.

Page 9: Greg Sykes, Robyn Hedges, Ming Hui, and Yvonne Reid

Figure 4. Most tumor and transformed cell line profiles have unbalanced peaks, but the data are reproducible. This example happens to be from a liver adenocarcinoma.

Page 10: Greg Sykes, Robyn Hedges, Ming Hui, and Yvonne Reid

Figure 5. This sample was submitted to the ATCC as a cancer line coming from a single patient. With six loci having trisomies or more, this line is considered cross contaminated.

Page 11: Greg Sykes, Robyn Hedges, Ming Hui, and Yvonne Reid

The amelogenin locus is useful in cell culture profiles:

• Finding appropriate X or X, Y peaks confirms the gender of the cell line (when provided).

• Female-derived cell lines with X, Y profiles are investigated; if the Y cannot be explained, the line is failed (not accessioned).

Page 12: Greg Sykes, Robyn Hedges, Ming Hui, and Yvonne Reid

Results From Chromosome Rearrangement

Figure 6. Based upon classic cytogenetic testing, cell line HTB-144 (JAR) was labeled “female.” STR analysis detected “Y” amelogenin. FISH analysis confirmed translocated Y chromosome material.

Y Chromosome

Page 13: Greg Sykes, Robyn Hedges, Ming Hui, and Yvonne Reid

Cell lines submitted as male but lack Y amelogenin are documented and approved because:

• A deletion on the Y chromosome amelogenin primer binding site may prevent a strong (or any) signal.

• Certain cancers (ex. bladder, renal, prostate, stomach, some leukemias) are more prone to a loss of the Y chromosome.

• Y chromosome is absent in up to 85% of the bone marrow cells of normal elderly males.

Page 14: Greg Sykes, Robyn Hedges, Ming Hui, and Yvonne Reid

Figure 7. Profile differences may emerge between normal tissue and tumors from the same patient or between a parental and derived cell lines. These differences may include:

Parental

• Nothing• Loss of heterozygosity (including locus drop-outs)• Gain of heterozygosity (somatic mutations)

Page 15: Greg Sykes, Robyn Hedges, Ming Hui, and Yvonne Reid

Figure 7. Profile differences may emerge between normal tissue and tumors from the same patient or between a parental and derived cell lines. These differences may include:

Parental: scrape

• Nothing• Loss of heterozygosity (including locus drop-outs)• Gain of heterozygosity (somatic mutations)

Derived: trypsin

Page 16: Greg Sykes, Robyn Hedges, Ming Hui, and Yvonne Reid

Figure 8. Compared to the parental cell line CRL-2570 (A3), a microvariant emerges in a derived line, CRL-2571 (I 9.2), following exposure to the frame-shifting mutagen, ICR-191.

Parental

Derived

Page 17: Greg Sykes, Robyn Hedges, Ming Hui, and Yvonne Reid

P8

P14

P13

P14

P13

P13

P11

P13

P13

P15

P13

P11

Unstable Alleles A

B

C

D

E MASTER

F

G

H

I

J

K

L

Figure 9. Cell lines rarely exhibit allelic instability. This umbilical cord line, CRL-1730 (HUV-EC-C), is an exception. Allele 9 at D13S317 has different intensities throughout the individual lots. However, the intensity of allele 9 within each lot is reproducible (ex. lot A = weak 9; lot B = strong 9; lot D = absent 9). Pn is the passage number.

Page 18: Greg Sykes, Robyn Hedges, Ming Hui, and Yvonne Reid

Post-Electropherogram Interpretation and Data Analysis

• Computer analysis cross-compares new baseline data with all previously generated profiles.

• Working stock profiles are imported and checked against all earlier profiles of that cell line.

• Cell lines with at least two independent analyses are posted on the ATCC website (http://www.atcc.org/Products/str.cfm).

• Commercially available kits enable research institutions, collections, patent offices, and scientists to confidently confirm or dispute cell line purity and authenticity.

Page 19: Greg Sykes, Robyn Hedges, Ming Hui, and Yvonne Reid

Summary

• Prior to their accession and distribution, ATCC uses STR analysis to screen all human cell lines for authenticity and purity.

• Tumor cell lines are unlike healthy tissue living within an organism. Most cell lines have undergone genetic mutation events. Abnormal karyology and sequence mutations impact the STR profile.

• Tumor and transformed cell line data interpretation is more challenging than that from normal material, but the data are reproducible.

• Resulting STR data can be globally communicated to researchers.

Page 20: Greg Sykes, Robyn Hedges, Ming Hui, and Yvonne Reid

Robyn Hedges Ming Hui Yvonne Reid

Acknowledgements

[email protected]

Ed CedroneScott Durkin

Brett HankinsQassim Azizi

Kristen MundyRuth Monk

The most exciting phrase to hear in science, the one that heralds new discoveries, is not

"Eureka!" (I found it!) but "That's funny." —Isaac Asimov