Literature DB >> 11491305

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

A E Kel1, O V Kel-Margoulis, P J Farnham, S M Bartley, E Wingender, M Q Zhang.   

Abstract

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. In 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.

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Year:  2001        PMID: 11491305     DOI: 10.1006/jmbi.2001.4650

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  60 in total

1.  Gene expression changes in response to E2F1 activation.

Authors:  Jens Stanelle; Thorsten Stiewe; Carmen C Theseling; Martin Peter; Brigitte M Pützer
Journal:  Nucleic Acids Res       Date:  2002-04-15       Impact factor: 16.971

2.  The identification of E2F1-specific target genes.

Authors:  Julie Wells; Carrie R Graveel; Stephanie M Bartley; Steven J Madore; Peggy J Farnham
Journal:  Proc Natl Acad Sci U S A       Date:  2002-03-19       Impact factor: 11.205

3.  Use of chromatin immunoprecipitation to clone novel E2F target promoters.

Authors:  A S Weinmann; S M Bartley; T Zhang; M Q Zhang; P J Farnham
Journal:  Mol Cell Biol       Date:  2001-10       Impact factor: 4.272

4.  NPAT expression is regulated by E2F and is essential for cell cycle progression.

Authors:  Guang Gao; Adrian P Bracken; Karina Burkard; Diego Pasini; Marie Classon; Claire Attwooll; Masashi Sagara; Takashi Imai; Kristian Helin; Jiyong Zhao
Journal:  Mol Cell Biol       Date:  2003-04       Impact factor: 4.272

Review 5.  In silico identification of metazoan transcriptional regulatory regions.

Authors:  Wyeth W Wasserman; William Krivan
Journal:  Naturwissenschaften       Date:  2003-03-27

6.  Folylpolyglutamate synthetase gene transcription is regulated by a multiprotein complex that binds the TEL-AML1 fusion in acute lymphoblastic leukemia.

Authors:  Guy J Leclerc; Christopher Sanderson; Stephen Hunger; Meenakshi Devidas; Julio C Barredo
Journal:  Leuk Res       Date:  2010-06-09       Impact factor: 3.156

7.  An approach to identify over-represented cis-elements in related sequences.

Authors:  Jiashun Zheng; Jiajin Wu; Zhirong Sun
Journal:  Nucleic Acids Res       Date:  2003-04-01       Impact factor: 16.971

8.  Bidirectional DNA unwinding by a ternary complex of T antigen, nucleolin and topoisomerase I.

Authors:  Stephanie Seinsoth; Heike Uhlmann-Schiffler; Hans Stahl
Journal:  EMBO Rep       Date:  2003-03       Impact factor: 8.807

9.  Genome-wide in silico identification of transcriptional regulators controlling the cell cycle in human cells.

Authors:  Ran Elkon; Chaim Linhart; Roded Sharan; Ron Shamir; Yosef Shiloh
Journal:  Genome Res       Date:  2003-05       Impact factor: 9.043

10.  Finding functional sequence elements by multiple local alignment.

Authors:  Martin C Frith; Ulla Hansen; John L Spouge; Zhiping Weng
Journal:  Nucleic Acids Res       Date:  2004-01-02       Impact factor: 16.971

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