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Physiol. Genomics (February 5, 2008). doi:10.1152/physiolgenomics.00125.2007
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Submitted on June 8, 2007
Accepted on February 1, 2008

Quantitative gene expression profiling of mouse brain regions reveals differential transcripts conserved in man and affected in disease models

Camille Brochier1, Marie-Claude Gaillard1, Elsa Diguet2, Nicolas Caudy1, Carole Dossat3, Beatrice Segurens3, Patrick Wincker3, Emmanuel Roze4, Jocelyne Caboche4, Philippe Hantraye2, Emmanuel Brouillet2, Jean-Marc Elalouf1, and Michel de Chaldee1*

1 iBiTecS, CEA, France
2 I2BM, CEA, France
3 IG, CEA, France
4 UPMC-CNRS, France

* To whom correspondence should be addressed. E-mail: michel.de.chaldee{at}cea.fr.

Using serial analysis of gene expression (SAGE), we collected quantitative transcriptome data in 11 regions of the adult wild-type mouse brain: the orbital, prelimbic, cingulate, motor, somatosensory and entorhinal cortices, the caudate-putamen, the nucleus accumbens, the thalamus, the substantia nigra and the ventral tegmental area. With more than 1.2 million cDNA tags sequenced, this database is a powerful resource to explore brain functions and disorders. As an illustration, we performed inter-regional comparisons and evidenced 315 differential transcripts. Most of them are poorly characterized and 20 % lack functional annotation. For 78 differential transcripts, we provide independent expression level measurements in mouse brain regions by real-time quantitative RT-PCR. We also show examples where we used in situ hybridization to achieve infrastructural resolution. For 30 transcripts, we next demonstrated that regional enrichment is conserved in the human brain. We then quantified the expression levels of region-enriched transcripts in the R6/2 mouse model of Huntington disease and the 1 methyl-4 phenyl-1,2,3,6 tetrahydropyridine (MPTP) mouse model of Parkinson disease, and observed significant alterations in the striatum, cerebral cortex, thalamus and substantia nigra of R6/2 mice and in the striatum of MPTP-treated mice. These results show that the gene expression data provided here for the mouse brain can be used to explore pathophysiological models and disclose transcripts differentially expressed in human brain regions.







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