PuSH - Publikationsserver des Helmholtz Zentrums München: Systematic gene expression profiling of mouse model series reveals coexpressed genes.

Informationen

Hinweise zu Qualitätskriterien von Zeitschriften

Open-Access-Richtlinie der Helmholtz-Gemeinschaft 2016

CC Licencences

Metriken für Publikationen

Navigation

Startseite

English

EVA: Veröffentlichen

Neuer EVA Antrag

Recherche

Erweiterte Suche

Durchblättern nach ...

... HMGU-Autoren/Konsortien

... Organisationsstruktur

... Zeitschriften

... Publikationstypen

... Forschungsdaten

... Arbeitsgruppen

... Erscheinungsjahr

Publikationen im Überblick

Statistik

HGF Fortschrittsbericht

OA Publikationen

Eintragen

Neue Publikation eintragen

Neue Publikation holen aus...

...EVA

Fehlende Publikation melden

Highlights

Suche

Hilfe & Kontakt

Ansprechpartner

Hilfe

Datenschutz

Helmholtz Open Science

Bibliometrische Indikatoren

SHERPA/RoMEO

DOAJ

Export:

Text

Endnote (RIS) BIB

BibTeX

Horsch, M. ; Schädler, S. ; Gailus-Durner, V. ; Fuchs, H. ; Meyer, H.* ; Hrabě de Angelis, M. ; Beckers, J.

Systematic gene expression profiling of mouse model series reveals coexpressed genes.

Proteomics 8, 1248-1256 (2008)

DOI

PMC

Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.

Abstract
Metriken
Zusatzinfos

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.

Impact Factor

Scopus SNIP

Web of Science
Times Cited

Scopus
Cited By

Altmetric

5.479

1.600