DNA microarray analysis of functionally discrete human brain regions reveals divergent transcriptional profiles

Transcriptional profiles within discrete human brain regions are likely to reflect structural and functional specialization. Using DNA microarray technology, this study investigates differences in transcriptional profiles of highly divergent brain regions (the cerebellar cortex and the cerebral cort...

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Bibliographic Details
Published in:Neurobiology of disease 2003-11, Vol.14 (2), p.240-250
Main Authors: Evans, S.J, Choudary, P.V, Vawter, M.P, Li, J, Meador-Woodruff, J.H, Lopez, J.F, Burke, S.M, Thompson, R.C, Myers, R.M, Jones, E.G, Bunney, W.E, Watson, S.J, Akil, H
Format: Article
Language:English
Subjects:
Aged
Aged, 80 and over
Brain - metabolism
Brain - pathology
Cerebellum
Cingulate cortex
Depression
Female
Gene Expression Profiling - methods
Humans
Male
Microarray
Middle Aged
Oligonucleotide Array Sequence Analysis - methods
Prefrontal cortex
Psychiatric disorder
RNA - biosynthesis
RNA - genetics
Schizophrenia
Transcription, Genetic
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Summary:Transcriptional profiles within discrete human brain regions are likely to reflect structural and functional specialization. Using DNA microarray technology, this study investigates differences in transcriptional profiles of highly divergent brain regions (the cerebellar cortex and the cerebral cortex) as well as differences between two closely related brain structures (the anterior cingulate cortex and the dorsolateral prefrontal cortex). Replication of this study across three independent laboratories, to address false-positive and false-negative results using microarray technology, is also discussed. We find greater than a thousand transcripts to be differentially expressed between cerebellum and cerebral cortex and very few transcripts to be differentially expressed between the two neocortical regions. We further characterized transcripts that were found to be specifically expressed within brain regions being compared and found that ontological classes representing signal transduction machinery, neurogenesis, synaptic transmission, and transcription factors were most highly represented.
ISSN:0969-9961
1095-953X
DOI:10.1016/S0969-9961(03)00126-8