POSTER

 

POSTER

 

 

QUANTITATIVE PCR

VALIDATING AFFYMETRIX DATA – THE TRANSCRIPT PROBLEM!

 

Michael

L. Mimmack1,2, Steve Huffaker1,2, Margaret Ryan1,2,

and Sabine Bahn1,2

 

1Department of

Neurobiology, Babraham Institute, Cambridge CB2 4AT, UK; 2Department

of Psychiatry, University of Cambridge, Addenbrooke’s Hospital, Cambridge CB2

2QQ, UK

 

 

Affymetrix Genechip technology offers an opportunity to profile

well-characterized, annotated gene transcripts but provides limited information

on splice variants and lacks the sensitivity to detect low abundance

transcripts.  Microarray studies of 150 human post-mortem brain samples has

identified statistically significant data, however to confirm or ‘validate’

multiple gene targets using high throughput quantitative PCR technologies still

presents a formidable challenge.  Microarray analysis has reduced the potential

candidate gene list and Q-PCR will be used to identify similar gene expression

profiles in peripheral tissues (liver, spleen), specific blood cell types (T and

B cells) and isolated cell populations (oligodendrocytes, neurons endothelial

cells) from laser-microdissected brain tissue.  We also investigated the

differences between individual microarray and quantitative PCR data in terms of

specific and multiple transcript detection.  Correlation between microarray and

Q-PCR expression profiles “expression tracking” for individual samples can be

used as a method to demonstrate equivalent transcript detection sensitivity. 

This combined approach has the inherent advantages of reduced cost and greater

transcript detection accuracy to further extend these studies in selected

tissues and cell types.

 

This work was supported

through a centre grant by the Stanley Medical Research Institute