Systematic functional characterization of cis-regulatory motifs in human core promoters

  1. Saurabh Sinha1,4,
  2. Adam S. Adler2,4,
  3. Yair Field3,
  4. Howard Y. Chang2,5, and
  5. Eran Segal3,5
  1. 1 Department of Computer Science, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, USA;
  2. 2 Program in Epithelial Biology, Stanford University, Stanford, California 94305, USA;
  3. 3 Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel
  1. 4 These authors contributed equally to this work.

Abstract

A large number of cis-regulatory motifs involved in transcriptional control have been identified, but the regulatory context and biological processes in which many of them function are unknown. Here, we computationally identify the sets of human core promoters targeted by motifs, and systematically characterize their function by using a robust gene-set-based approach and diverse sources of biological data. We find that the target sets of most motifs contain both genes with similar function and genes that are coregulated in vivo, thereby suggesting both the biological process regulated by the motifs and the conditions in which this regulation may occur. Our analysis also identifies many motifs whose target sets are predicted to be regulated by a common microRNA, suggesting a connection between transcriptional and post-transcriptional control processes. Finally, we predict novel roles for uncharacterized motifs in the regulation of specific biological processes and certain types of human cancer, and experimentally validate four such predictions, suggesting regulatory roles for four uncharacterized motifs in cell cycle progression. Our analysis thus provides a concrete framework for uncovering the biological function of cis-regulatory motifs genome wide.

Footnotes

  • 5 Corresponding authors.

    5 E-mail eran{at}weizmann.ac.il; fax +972-8-934-4122.

    5 E-mail howchang{at}stanford.edu; fax (650) 723-8762.

  • [Supplemental material is available online at www.genome.org.]

  • Article published online before print. Article and publication date are at http://www.genome.org/cgi/doi/10.1101/gr.6828808

    • Received June 19, 2007.
    • Accepted December 11, 2007.
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