Published in: Proc. Natl. Acad. Sci. USA, vol. 99, no.2, pp. 757-762, (January 22, 2002):
http://www.pnas.org/cgi/doi/10.1073/pnas.231608898


"Exploiting Transcription Factor Binding Site Clustering to Identify Cis-Regulatory Modules Involved in Pattern Formation in the Drosophila Genome".

Benjamin P. Berman 1, Yutaka Nibu 1, Barret D. Pfeiffer 2, Pavel Tomancak 1, 3, Susan E. Celniker 2, 4, Michael Levine 1, Gerald M. Rubin 1, 2, 3, and Michael B. Eisen 1, 4

1 Department of Molecular and Cell Biology,  2 Berkeley Drosophila Genome Project, and  3 Howard Hughes Medical Institute, University of California, Berkeley, CA 94720; and
4 Department of Genome Sciences, Life Sciences Division, Lawrence Orlando Berkeley National Laboratory, Berkeley, CA 94720

¶ To whom reprint requests should be addressed at: Lawrence Berkeley National Laboratory, Mailstop 84-171, One Cyclotron Road, Berkeley, CA 94720.  E-mail:    mbeisen@lbl.gov



Abstract:

A major challenge in interpreting genome sequences is understanding how the genome encodes the information that specifies when and where a gene will be expressed. The first step in this process is the identification of regions of the genome that contain regulatory information. In higher eukaryotes, this cis-regulatory information is organized into modular units [cis-regulatory modules (CRMs)] of a few hundred base pairs. A common feature of these cis-regulatory modules is the presence of multiple binding sites for multiple transcription factors. Here, we evaluate the extent to which the tendency for transcription factor binding sites to be clustered can be used as the basis for the computational identification of cis-regulatory modules. By using published DNA binding specificity data for five transcription factors active in the early Drosophila embryo, we identified genomic regions containing unusually high concentrations of predicted binding sites for these factors. A significant fraction of these binding site clusters overlap known CRMs that are regulated by these factors. In addition, many of the remaining clusters are adjacent to genes expressed in a pattern characteristic of genes regulated by these factors. We tested one of the newly identified clusters, mapping upstream of the gap gene giant (gt), and show that it acts as an enhancer that recapitulates the posterior expression pattern of gt



This article has been cited by other articles:

Related Commentary in PNAS:
Michelson, A. M. (2002). "Deciphering genetic regulatory codes: A challenge for functional genomics". Proc. Natl. Acad. Sci. U. S. A. 99: 546-548 



Additional References:

1. Von Dassow G, Meir E, Munro EM, and Odell GM, "The Segment Polarity Network is a Robust Developmental Module", Nature vol. 406: no. 6792, pp. 188-192 (July 13, 2000).

2. Von Dassow G, Meir E, Munro EM, and Odell GM, "Formulation of a Model of the Segment Polarity Network as a System of First-Order Differential Equations using Ingeneue", On-Line Supplement to: Nature vol. 406, no. 6792, pp. 188-192 (July 13, 2000).



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