Bioinformatic screening of human ESTs for differentially expressed genes in normal and tumor tissues.

ABSTRACT:

Background

Owing to the explosion of information generated by human genomics, analysis of publicly available databases can help identify potential candidate genes relevant to the cancerous phenotype. The aim of this study was to scan for such genes by whole-genome in silico subtraction using Expressed Sequence Tag (EST) data.

Methods

Genes differentially expressed in normal versus tumor tissues were identified using a computer-based differential display strategy. Bcl-xL, an anti-apoptotic member of the Bcl-2 family, was selected for confirmation by western blot analysis.

Results

Our genome-wide expression analysis identified a set of genes whose differential expression may be attributed to the genetic alterations associated with tumor formation and malignant growth. W

SUBMITTER: Aouacheria A 

PROVIDER: S-EPMC1459866 | biostudies-literature | 2006 Apr

REPOSITORIES: biostudies-literature