4.7 Article

Computer-assisted identification of cell cycle-related genes: new targets for E2F transcription factors

期刊

JOURNAL OF MOLECULAR BIOLOGY
卷 309, 期 1, 页码 99-120

出版社

ACADEMIC PRESS LTD
DOI: 10.1006/jmbi.2001.4650

关键词

cell cycle; E2F transcription factors; computer-associated prediction; composite elements; weight matrix

资金

  1. NCI NIH HHS [CA45240] Funding Source: Medline
  2. NHGRI NIH HHS [HG01696] Funding Source: Medline
  3. NIGMS NIH HHS [GM60513] Funding Source: Medline

向作者/读者索取更多资源

The processes that take place during development and differentiation are directed through coordinated regulation of expression of a large number of genes. One such gene regulatory network provides cell cycle control in eukaryotic organisms. Ln this work, we have studied the structural features of the 5' regulatory regions of cell cycle-related genes. We developed a new method for identifying composite substructures (modules) in regulatory regions of genes consisting of a binding site for a key transcription factor and additional contextual motifs: potential targets for other transcription factors that may synergistically regulate gene transcription. Applying this method to cell cycle-related promoters, we created a program for context-specific identification of binding sites for transcription factors of the E2F family which are key regulators of the cell cycle. We found that E2F composite modules are found at a high frequency and in close proximity to the start of transcription in cell cycle-related promoters in comparison with other promoters. Using this information, we then searched for E2F sites in genomic sequences with the goal of identifying new genes which play important roles in controlling cell proliferation, differentiation and apoptosis. Using a chromatin immunoprecipitation assay, we then experimentally verified the binding of E2F in vivo to the promoters predicted by the computer-assisted methods. Our identification of new E2F target genes provides new insight into gene regulatory networks and provides a framework for continued analysis of the role of contextual promoter features in transcriptional regulation. The tools described are available at http:// compel.bionet.nsc.ru/FunSite/ SiteScan.html. (C) 2001 Academic Press.

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