Comprehensive analysis of the genome transcriptome and proteome landscapes of three tumor cell linesShow others and affiliations
2012 (English)In: Genome Medicine, ISSN 1756-994X, E-ISSN 1756-994X, Vol. 4, p. 86-Article in journal (Refereed) Published
Abstract [en]
We here present a comparative genome, transcriptome and functional network analysis of three human cancer cell lines (A431, U251MG and U2OS), and investigate their relation to protein expression. Gene copy numbers significantly influenced corresponding transcript levels; their effect on protein levels was less pronounced. We focused on genes with altered mRNA and/or protein levels to identify those active in tumor maintenance. We provide comprehensive information for the three genomes and demonstrate the advantage of integrative analysis for identifying tumor-related genes amidst numerous background mutations by relating genomic variation to expression/protein abundance data and use gene networks to reveal implicated pathways.
Place, publisher, year, edition, pages
2012. Vol. 4, p. 86-
Keywords [en]
human myt1, gene, cancer, networks, mutations, coactivator, pathways, p53, establishment, expression
National Category
Medical Biotechnology
Identifiers
URN: urn:nbn:se:kth:diva-119134DOI: 10.1186/gm387ISI: 000314579400001PubMedID: 23158748Scopus ID: 2-s2.0-84869000993OAI: oai:DiVA.org:kth-119134DiVA, id: diva2:610337
Funder
Science for Life Laboratory - a national resource center for high-throughput molecular bioscience
Note
QC 20130311
2013-03-112013-03-072024-03-15Bibliographically approved