comprehensive analysis of the genome transcriptome and proteome landscapes of three tumor cell lines

we here present a comparative genome, transcriptome and functional network analysis of three human cancer celllines (a431, u251mg and u2os), and investigate their relation to protein expression. gene copy numberssignificantly influenced corresponding transcript levels; their effect on protein levels was less pronounced. wefocused on genes with altered mrna and/or protein levels to identify those active in tumor maintenance. weprovide comprehensive information for the three genomes and demonstrate the advantage of integrative analysisfor identifying tumor-related genes amidst numerous background mutations by relating genomic variation toexpression/protein abundance data and use gene networks to reveal implicated pathways.