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Quantitative assessment of transcriptome differences between brain territories
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Quantitative assessment of transcriptome differences between brain territories

Michel de Chaldée, Marie-Claude Gaillard, Nicolas Bizat, Jean-Marie Buhler, Olivier Manzoni, Joël Bockaert, Philippe Hantraye, Emmanuel Brouillet et Jean-Marc Elalouf
Genome research, Vol.13(7), p.1646-1653
07/2003
PMID: 12840043

Résumé

Animals Biomarkers Brain - anatomy & histology Brain - metabolism Brain Chemistry - genetics Brain Mapping - methods Corpus Striatum - anatomy & histology Corpus Striatum - chemistry Corpus Striatum - metabolism Gene Expression Profiling Genes - genetics Male Mice Mice, Inbred C57BL Nucleus Accumbens - anatomy & histology Nucleus Accumbens - chemistry Nucleus Accumbens - metabolism Proteome - genetics RNA, Messenger - biosynthesis Somatosensory Cortex - anatomy & histology Somatosensory Cortex - chemistry Somatosensory Cortex - metabolism Transcription, Genetic - genetics
Transcriptome analysis of mammalian brain structures is a potentially powerful approach in addressing the diversity of cerebral functions. Here, we used a microassay for serial analysis of gene expression (SAGE) to generate quantitative mRNA expression profiles of normal adult mouse striatum, nucleus accumbens, and somatosensory cortex. Comparison of these profiles revealed 135 transcripts heterogeneously distributed in the brain. Among them, a majority (78), although matching a registered sequence, are novel regional markers. To improve the anatomical resolution of our analysis, we performed in situ hybridization and observed unique expression patterns in discrete brain regions for a number of candidates. We assessed the distribution of the new markers in peripheral tissues using quantitative RT-PCR, Northern hybridization, and published SAGE data. In most cases, expression was higher in the brain than in peripheral tissues. Because the markers were selected according to their expression level, without reference to prior knowledge, our studies provide an unbiased, comprehensive molecular signature for various mammalian brain structures that can be used to investigate their plasticity under a variety of circumstances.

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