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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POSTER 137- GENE EXPRESSION PROFILING OF C56BL/6J MOUSE TESTIS BY SAGE

Divina P
Centre of Integrated Genomics, Institute of Molecular Genetics, Academy of Sciences of the Czech Republic

Co-Authors: Vlcek C, Paces V, Forejt J
Institutions: Centre of Integrated Genomics, Institute of Molecular Genetics, Academy of Sciences of the Czech Republic

Serial Analysis of Gene Expression (SAGE) uses short nucleotide tags (10 bp) from the defined position in the transcripts for the identification of expressed genes. The ligation of the tags into long concatemers and sequencing, results in the qualitative and quantitative gene expression profile of the particular tissue. Here we used MicroSAGE adaptation to study the gene expression in adult mouse testis. Two SAGE libraries from the testes of adult B6 males were generated. A total of 76 854 tags were sequenced, corresponding to 24 529 different transcripts. From 7481 tags in the libraries present more than once, about 51 % can be reliably matched to a single UniGene cluster, 12 % have multiple reliable matches and 37 % have unreliable or no match to UniGene clusters. The number of duplicated ditags (~ 1 %) and the number of linker-derived tags (< 1 %) indicate high quality of both SAGE libraries. A catalogue of genes expressed in the normal mouse testis was created as a reference for further investigation of genes involved in the mouse sterility. A database was constructed of all publicly available SAGE libraries generated from various mouse tissues and cell lines. A web interface to the database provides the simple tools for browsing, comparing and searching the SAGE data with reliable tag-to-gene identification.