Work

Identification and Confirmation of a Module of Coexpressed Genes

Year: 2002

Type: preprint

Abstract: We synthesize a large gene expression data set using dbEST and UniGene. We use guilt-by-association (GBA) to analyze this data set and identify coexpressed genes. One module, or group of genes, was found to be coexpressed mainly in tissue extracted from breast and ovarian cancers, but also found in tissue from lung cancers, brain cancers, and bone marrow. This module contains at least six members that are believed to be involved in either transcritional regulation (PDEF, H2AFO, NUCKS) or the ubiquitin proteasome pathway (PSMD7, SQSTM1, FLJ10111). We confirm these observations of coexpression by real-time RT-PCR analysis of mRNA extracted from four model breast epithelial cell lines.

Source: Genome Research

DOI: 10.1101/gr.418402

Authors: H. Garrett R. Thompson, Joseph W. Harris, Barbara J. Wold, Stephen R. Quake, James P. Brody

Institutions: California Institute of Technology, University of California, Irvine

Language: English

Topic: Bioinformatics and Genomic Networks

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: bronze

Funder: National Human Genome Research Institute

Awards: G196954619, G3326669934