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Systematic gene expression profiling of mouse model series reveals coexpressed genes
Author(s) -
Horsch Marion,
Schädler Sandra,
GailusDurner Valerie,
Fuchs Helmut,
Meyer Helmut,
de Angelis Martin Hrabé,
Beckers Johannes
Publication year - 2008
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.200700725
Subject(s) - biology , phenotype , proteome , gene expression profiling , gene , transcriptome , microarray , mutant , microarray analysis techniques , gene expression , computational biology , dna microarray , genetics
A major aim of the Human Brain Proteome Project (HBPP) is a better understanding of the molecular etiology and progression of neurodegenerative diseases. Transgenic and loss‐of‐function mouse mutant lines (MMLs) serve as experimental models. Transcriptome and proteome regulate each other in a complex and controlled way, and their comparative analysis is an essential aspect. As a fundamental study, we have assessed transcript profiles using a microarray containing 21 000 cDNA probes in a series of disease models within the German Mouse Clinic (GMC). Seventeen distinct organs of one adult stage were systematically collected for each submitted MML. Samples for gene expression profiling are individually selected based on conspicuous phenotypes in at least one of 14 GMC phenotype screens or on previous knowledge of the mutant phenotype. By microarray experiments expression patterns of 90 organs from 46 MMLs were analysed, identifying up to 232 differentially expressed genes in 45 organs. Here we present an overview of the results of all MMLs analysed and demonstrate the efficiency of systematic genome‐wide expression profiling for the detection of molecular phenotypes in organs of a mammalian model organism. We identify the recurring regulation of particular genes and groups of coexpressed genes in apparently unrelated MMLs.