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LongSAGE analysis of wild-type mouse brain regions

ABSTRACT: LongSAGE libraries generated from various brain regions of 8- to 12-week-old male C57BL/6 mice. Keywords: Micro-dissection, Brain regions, SAGE Sau3A I was used as the anchoring enzyme and Mme I as the tagging enzyme. Data are provided after linker removal.

ORGANISM(S): Mus musculus

SUBMITTER: Jean-Marc Elalouf

PROVIDER: E-GEOD-7593 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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

Brochier Camille C Gaillard Marie-Claude MC Diguet Elsa E Caudy Nicolas N Dossat Carole C Ségurens Béatrice B Wincker Patrick P Roze Emmanuel E Caboche Jocelyne J Hantraye Philippe P Brouillet Emmanuel E Elalouf Jean-Marc JM de Chaldée Michel M

Physiological genomics 20080205 2

Using serial analysis of gene expression, 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 >1.2 million cDNA tags sequenced, this database is a powerful resource to explore brain functions and disorders. As an illustration, we performed interregional comp ...[more]

PMID: 18252803

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SAGE analysis of wild-type mouse brain regions

Project description:SAGE libraries generated from various brain regions of 8- to 12-week-old male C57BL/6 mice. Keywords: Micro-dissection, Brain regions, SAGE Sau3A I was used as the anchoring enzyme and Bsmf I as the tagging enzyme. Data are provided after linker removal.

2008-02-05 | E-GEOD-7594 | biostudies-arrayexpress

LongSAGE analysis of wild-type mouse brain regions

Project description:LongSAGE libraries generated from various brain regions of 8- to 12-week-old male C57BL/6 mice. Keywords: Micro-dissection, Brain regions, SAGE

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LongSAGE analysis significantly improves genome annotation

Project description:Owing to its increased tag length, LongSAGE tags are expected to be more reliable in direct assignment to genome sequences. Therefore, we evaluated the use of LongSAGE data in genome annotation by using our LongSAGE dataset of 202 015 tags (consisting of 41 718 unique tags), experimentally generated from mouse embryonic tail libraries. RESULTS: A fraction of LongSAGE tags could not be unambiguously assigned to its gene, due to the presence of widely conserved sequences downstream of particular CATG anchor sites. The presence of alternative forms of transcripts was confirmed in 45% of all detected genes. Surprisingly, a large fraction of LongSAGE tags with hits to the genome (66%) could not be assigned to any gene annotated in EnsEMBL. Among such cases, 2098 LongSAGE tags fell into a region containing a putative gene predicted by GenScan, providing experimental evidence for the presence of real genes, while 9112 genes were found out to be left out or wrongly annotated by the EnsEMBL pipeline. CONCLUSIONS: LongSAGE transcriptome data can significantly improve the genome annotation by identifying novel genes and alternative transcripts, even in the case of thus far best-characterized organisms like the mouse. Keywords: other

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LongSAGE analysis significantly improves genome annotation

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Babesia Infected/Control LongSAGE libraries for Boophilus microplus ovary tissue

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