Vol 13, Issue 5, 773-780, May 2003
Genome-Wide In Silico Identification of Transcriptional Regulators Controlling the Cell Cycle in Human Cells
Ran Elkon1,4,
Chaim Linhart2,4,
Roded Sharan3,
Ron Shamir2 and
Yosef Shiloh1,5
1The David and Inez Myers Laboratory for Genetic Research,
Department of Human Genetics and Molecular Medicine, Sackler School of
Medicine, and 2School of Computer Science, Tel Aviv
University, Tel Aviv 69978, Israel; 3International Computer
Science Institute, Berkeley, California 94704, USA
Dissection of regulatory networks that control gene transcription is
one of the greatest challenges of functional genomics. Using human
genomic sequences, models for binding sites of known transcription
factors, and gene expression data, we demonstrate that the reverse
engineering approach, which infers regulatory mechanisms from gene
expression patterns, can reveal transcriptional networks in human
cells. To date, such methodologies were successfully demonstrated only
in prokaryotes and low eukaryotes. We developed computational methods
for identifying putative binding sites of transcription factors and for
evaluating the statistical significance of their prevalence in a given
set of promoters. Focusing on transcriptional mechanisms that control
cell cycle progression, our computational analyses revealed eight
transcription factors whose binding sites are significantly
overrepresented in promoters of genes whose expression is
cell-cycle-dependent. The enrichment of some of these factors is
specific to certain phases of the cell cycle. In addition, several
pairs of these transcription factors show a significant co-occurrence
rate in cell-cycle-regulated promoters. Each such pair indicates
functional cooperation between its members in regulating the
transcriptional program associated with cell cycle progression. The
methods presented here are general and can be applied to the analysis
of transcriptional networks controlling any biological
process.
[Supplemental material is available online at
www.genome.org, including full lists of genes whose promoters were
found to contain high scoring sites for any of the enriched
transcription factors reported in Tables 1 and 3.]
4 These authors contributed equally to this work.
5 Corresponding author.
E-MAIL yossih{at}post.tau.ac.il; FAX 972-3-6407471.
Article and publication are at
http://www.genome.org/cgi/doi/10.1101/gr.947203.

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