Large differences in global transcriptional regulatory programs of normal and tumor colon cells.

ABSTRACT:

Background

Dysregulation of transcriptional programs leads to cell malfunctioning and can have an impact in cancer development. Our study aims to characterize global differences between transcriptional regulatory programs of normal and tumor cells of the colon.

Methods

Affymetrix Human Genome U219 expression arrays were used to assess gene expression in 100 samples of colon tumor and their paired adjacent normal mucosa. Transcriptional networks were reconstructed using ARACNe algorithm using 1,000 bootstrap replicates consolidated into a consensus network. Networks were compared regarding topology parameters and identified well-connected clusters. Functional enrichment was performed with SIGORA method. ENCODE ChIP-Seq data curated in the hmChIP database was used for in silic

SUBMITTER: Cordero D 

PROVIDER: S-EPMC4182786 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature