International Mammalian Genome Society

17th International Mouse Genome Conference

9-12 November 2003, Braunschweig, Germany

Plenary Presentations * Oral Presentations *
Poster Presentations: Behavioural Genetics and Genomics * Development and Stem Cells * Functional Genome Analysis * Mouse Models of Human Disease * Mouse System Biology Bioinformatics * Multigenic and Multifactorial Trait Analysis * Nutrition and Metabolic Disease * Phenotyping Methods Imaging * The Genetics and Genomics of Infectious Disease *
Verne Chapman Memorial Lecture * Table of Contents * Sponsor/Exhibitor List * Awards * Photographs

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ORAL PRESENTATION

MONDAY 10 NOVEMBER
11:30 – 11:45 HRS

GENE EXPRESSION PATTERNS OF THE MOUSE TRANSCRIPTOME

Wiltshire T
Genomics Institute of the Novartis Research Foundation

Co-Authors: Walker J, Su A, Batalov S, Hogenesch J
Institutions: Genomics Institute of the Novartis Research Foundation

We have recently completed an analysis of the gene expression patterns of the complete mammalian transcriptome for mouse and human. We used high-density oligonucleotide arrays to interrogate the mRNA expression of ~35,000 human and mouse genes in a diverse set of tissues, cell lines, organs, and pathological samples. Human tissue samples and cell lines were obtained from commercial sources, and ongoing research collaborations. Mouse tissue samples were derived from dissections. A total of 80+ human and 60+ mouse tissues were analyzed for gene expression across all transcripts. These data have been curated and compiled with annotation gathered from the public domain and integrated with genomic sequence data. They will be publicly available in our searchable GeneAtlas database. We have linked these data to an additional search tool, GexView (Gene Expression View), which provides the recall of the expression patterns of all transcripts within a specified genomic region. These data have already been used to facilitate the identification of candidate genes for both human and mouse disease states based on specific gene expression patterns. This extensive set of transcript profiles, representing a substantial portion of the protein encoding transcriptome, makes it possible to address a number of fundamental questions in transcription and adds significantly to our understanding of global transcriptional control, physiological and molecular gene function, transcriptional regulation of functional pathways and co-regulated genes, and disease etiology