Home
Graduate Program
Genetic Counselling
Research
Clinical Genetics
Events/Awards
Resources

Angelique Scnerch

ANGELIQUE SCHNERCH – MSc DEFENSE

 

“Analysis of Undifferentiated Human Embryonic Stem Cell Lines Using Serial Analysis of Gene Expression”

 

Bachelor of Science, University of British Columbia, 2000

Thursday, December 8, 2005, 11:00 am, Room 7.116, BC Cancer Research Centre

 

Angelique Scnerch – MSc Defense - pdf

 


SUPERVISORY COMMITTEE

Dr. Steven Jones (Co-supervisor)

Dr. Marco Marra (Co-supervisor)

Dr. Pamela Hoodless

Dr. Keith Humphries

 

 

EXAMINING COMMITTEE

Chair: Dr. Jan M. Friedman

Supervisory Committee: Dr. Marco Marra, Research Supervisor (Medical Genetics), Dr. Steven Jones, Research Supervisor (Medical Genetics), Dr. Pamela Hoodless (Medical Genetics)

University Examiners: Dr. Angela Brooks-Wilson (Medical Genetics)

 

 

ABSTRACT

Since the first reported isolation of immortalized human embryonic stem cell (hESC) lines in 1998, methods for directing their differentiation to various specialized derivatives has been extensively demonstrated and provides hope for future therapeutic applications. Furthermore, hESCs offer unique opportunities for investigations of the molecular mechanisms governing early embryonic development and oncogenesis. Global gene expression profiles of the 8 undifferentiated hESC lines were created using Serial Analysis of Gene Expression (SAGE). It is widely established that SAGE is qualitative and quantitative, producing a digital transcriptome survey of known and novel transcripts. We have generated 12 long SAGE libraries from 8 undifferentiated hESC lines (NIH stem cell registry code BG01, ES03, ES04, WA01, WA07, WA09, WA13, and WA14) and analyzed 2,613,475 total tags corresponding to 379,465 unique tag types (transcripts). Through the employ of various comprehensive tag-to-gene mapping resources I have provided a detailed survey of the genes expressed and differentially expressed in multiple hESC lines. A suite of stemnessassociated factors was observed in the hESC SAGE data. We also observed molecular components of several pathways involved in embryonic development, the cell cycle, and programmed cell death. The study of these data has identified transcripts up-regulated in hESCs compared with 72 normal human SAGE libraries. The development of a robust computational approach to identify "novel" transcripts in hESCs has elucidated at least 301 candidates that may be integral to human pluripotent stem cells. These studies represent an important step in the development of high throughput approaches to an analysis of early human developmental processes and will be a strategic element in more comprehensive interspecies comparisons of ES cells to identify preserved control mechanisms.

 

 

SELECTED PUBLICATIONS

Martin Hirst, Allen Delaney, Sean Rogers, Angelique Schnerch, Deryck Persaud, Michael O’Connor, Thomas Zeng, Michelle Moksa, Stephanie Menzies, Ágnes Baross Jaswinder Khattra, Stephanie Menzies, Asim Siddiqui, Robert Holt, Steven Jones, James A. Thomson, Connie J. Eaves, Marco A. Marra. LongSAGE Transcriptome analysis of Nine Human Embryonic Stem Cell Lines reveals novel transcripts and an over representation of RNA binding proteins. (Submitted).

 

Yun Zhao, Afshin Raouf, David Kent, Jaswinder Khattra, Allen Delaney, Angelique Schnerch, Jennifer Asano, Helen MacDonald, Christina Chan, Steven Jones, Marco A. Marra & Connie J. Eaves. PCR-SAGE: Development, Validation and Application to CD34+ Cells from Normal Adult Human Bone Marrow. (Submitted)

 

Gerhard DS, Wagner L, Feingold EA, Shenmen CM, Grouse LH, Schuler G, Klein SL, Old S, Rasooly R, Good P, Guyer M, Peck AM, Derge JG, Lipman D, Collins FS, Jang W, Sherry S, Feolo M, Misquitta L, Lee E, Rotmistrovsky K, Greenhut SF, Schaefer CF, Buetow K, Bonner TI, Haussler D, Kent J, Kiekhaus M, Furey T, Brent M, Prange C, Schreiber K, Shapiro N, Bhat NK, Hopkins RF, Hsie F, Driscoll T, Soares MB, Casavant TL, Scheetz TE, Brown-stein MJ, Usdin TB, Toshiyuki S, Carninci P, Piao Y, Dudekula DB, Ko MS, Kawakami K, Suzuki Y, Sugano S, Gruber CE, Smith MR, Simmons B, Moore T, Waterman R, Johnson SL, Ruan Y, Wei CL, Mathavan S, Gunaratne PH, Wu J, Garcia AM, Hulyk SW, Fuh E, Yuan Y, Sneed A, Kowis C, Hodgson A, Muzny DM, McPherson J, Gibbs RA, Fahey J, Helton E, Ketteman M, Madan A, Rodrigues S, Sanchez A, Whiting M, Madari A, Young AC, Wetherby KD, Granite SJ, Kwong PN, Brinkley CP, Pearson RL, Bouffard GG, Blakesly RW, Green ED, Dickson MC, Rodriguez AC, Grimwood J, Schmutz J, Myers RM, Butterfield YS, Griffith M, Griffith OL, Krzywinski MI, Liao N, Morrin R, Palmquist D, Petrescu AS, Skalska U, Smailus DE, Stott JM, Schnerch A, Schein JE, Jones SJ, Holt RA, Baross A, Marra MA, Clifton S, Makowski KA, Bosak S, Malek J; MGC Project Team. 2004. The status, quality, and expansion of the NIH full-length cDNA project: the Mammalian Gene Collection (MGC). Genome Res. 14(10B):2121-7.

 

Prasad SS, Schnerch A, Lam DY, To E, Jim J, Kaufman PL, Matsubara JA. 2002. Immunohistochemical investigations of neurofilament M' and alphabeta-crystallin in the magnocellular layers of the primate lateral geniculate nucleus.  Mol Brain Res. 109(1-2):216-20.

 

 

SELECTED PRESENTATIONS

BC Cancer Agency Thursday Student Seminars. Vancouver, British Columbia. June 2005. Schnerch, A. Global Transcriptome Analysis of Undifferentiated Stem Cell Lines Using SAGE. Invited presentation.

 

Canada’s Michael Smith Genome Sciences Centre Bioinformatics Seminar.

Vancouver, British Columbia. May 2003. Schnerch, A. Bioinformatic

Approaches for Molecular Profiling in Stem Cells. Invited Presentation.

 

SAGE Congress. Amsterdam, The Netherlands. January 2003. Schnerch, A.,

Asano, J., Chan, S., Khattra, J., Oveisi, M., Pleasance, E., Ruzanov, P., Varhol, R., Vatcher, G., Zuyderduyn, S., Eaves, C.J., Humphries. K., Thomson, J.A., Jones, S., and Marra, M. Global Gene Expression Profiling in Murine and Human Embryonic Stem Cells using SAGE and Affymetrix GeneChips. Invited Presentation and Abstract.

 

 

GRADUATE STUDIES

Field of Study: Stem cell analysis using SAGE.

 

Courses:

MEDI 590 Molecular Regulation of Cell Growth Dr. S. Pelech


Angelique Scnerch – MSc Defense - pdf