Abstract
BackgroundMassive gene expression changes in different cellular states measured by microarrays, in fact, reflect just an "echo" of real molecular processes in the cells. Transcription factors constitute a class of the regulatory molecules that typically require posttranscriptional modifications or ligand binding in order to exert their function. Therefore, such important functional changes of transcription factors are not directly visible in the microarray experiments.ResultsWe developed a novel approach to find key transcription factors that may explain concerted expression changes of specific components of the signal transduction network. The approach aims at revealing evidence of positive feedback loops in the signal transduction circuits through activation of pathway-specific transcription factors. We demonstrate that promoters of genes encoding components of many known signal transduction pathways are enriched by binding sites of those transcription factors that are endpoints of the considered pathways. Application of the approach to the microarray gene expression data on TNF-alpha stimulated primary human endothelial cells helped to reveal novel key transcription factors potentially involved in the regulation of the signal transduction pathways of the cells.ConclusionWe developed a novel computational approach for revealing key transcription factors by knowledge-based analysis of gene expression data with the help of databases on gene regulatory networks (TRANSFAC® and TRANSPATH®). The corresponding software and databases are available at .
Highlights
Massive gene expression changes in different cellular states measured by microarrays, reflect just an "echo" of real molecular processes in the cells
We demonstrated that promoters of genes encoding components of many known signal transduction pathways are enriched by binding sites of those transcription factors that are end-points of the considered pathways
TF binding sites (TFBS) in promoters of genes belonging to the same pathway In order to evaluate the approach we applied the promoter analysis algorithm to the promoters of genes encoding various known signal transduction pathways
Summary
Massive gene expression changes in different cellular states measured by microarrays, reflect just an "echo" of real molecular processes in the cells. A way to facilitate data interpretation is to construct gene regulatory networks that include signal transduction mediators, transcriptional regulators and target genes. This is a complex task, because of the huge number of molecules involved, and because of variations across tissues, developmental stages and physiological conditions. These networks hold the key to the understanding of the regulatory processes within a cell and, to the majority of life processes in general
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