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