Nucleic Acids Research Advance Access first published online on January 30, 2007
This version published online on March 1, 2007
Nucleic Acids Research, doi:10.1093/nar/gkl1157
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Computational Biology |
Identifying synergistic regulation involving c-Myc and sp1 in human tissues
1Swiss Institute for Experimental Cancer Research (ISREC) and NCCR Molecular Oncology, Lausanne, Switzerland, 2Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland and 3School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
*To whom correspondence should be addressed. Tel: +1 41 6931621; Fax: +1 41 6931635; Email: felix.naef{at}isrec.ch
Received May 25, 2006. Revised December 18, 2006. Accepted December 20, 2006.
Combinatorial gene regulation largely contributes to phenotypic versatility in higher eukaryotes. Genome-wide chromatin immuno-precipitation (ChIP) combined with expression profiling can dissect regulatory circuits around transcriptional regulators. Here, we integrate tiling array measurements of DNA-binding sites for c-Myc, sp1, TFIID and modified histones with a tissue expression atlas to establish the functional correspondence between physical binding, promoter activity and transcriptional regulation. For this we develop SLM, a methodology to map c-Myc and sp1-binding sites and then classify sites as sp1-only, c-Myc-only or dual. Dual sites show several distinct features compared to the single regulator sites: specifically, they exhibit overall higher degree of conservation between human and rodents, stronger correlation with TFIID-bound promoters, and preference for permissive chromatin state. By applying regression models to an expression atlas we identified a functionally distinct signature for strong dual c-Myc/sp1 sites. Namely, the correlation with c-Myc expression in promoters harboring dual-sites is increased for stronger sp1 sites by strong sp1 binding and the effect is largest in proliferating tissues. Our approach shows how integrated functional analyses can uncover tissue-specific and combinatorial regulatory dependencies in mammals.
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