A novel method of differential gene expression analysis using multiple cDNA libraries applied to the identification of tumour endothelial genes.

ABSTRACT:

Background

In this study, differential gene expression analysis using complementary DNA (cDNA) libraries has been improved. Firstly by the introduction of an accurate method of assigning Expressed Sequence Tags (ESTs) to genes and secondly, by using a novel likelihood ratio statistical scoring of differential gene expression between two pools of cDNA libraries. These methods were applied to the latest available cell line and bulk tissue cDNA libraries in a two-step screen to predict novel tumour endothelial markers. Initially, endothelial cell lines were in silico subtracted from non-endothelial cell lines to identify endothelial genes. Subsequently, a second bulk tumour versus normal tissue subtraction was employed to predict tumour endothelial markers.

Results

From an endo

SUBMITTER: Herbert JM 

PROVIDER: S-EPMC2346479 | biostudies-literature | 2008 Apr

REPOSITORIES: biostudies-literature