Biology – Quantitative Biology – Molecular Networks
Scientific paper
2008-11-08
Biology
Quantitative Biology
Molecular Networks
27 pages, 8 figures (already embedded in file) To appear in Nucleic Acids Research
Scientific paper
10.1093/nar/gkn752
We developed a method for estimating the positional distribution of transcription fac-tor (TF) binding sites using ChIP-chip data, and applied it to recently published experiments on binding sites of nine TFs; OCT4, SOX2, NANOG, HNF1A, HNF4A, HNF6, FOXA2, USF1 and CREB1. The data were obtained from a genome-wide cov-erage of promoter regions from 8kb upstream of the Transcription Start Site (TSS) to 2kb downstream. The number of target genes of each TF ranges from few hundred to several thousand. We found that for each of the nine TFs the estimated binding site distribution is closely approximated by a mixture of two components: a narrow peak, localized within 300 base pairs upstream of the TSS, and a distribution of almost uni-form density within the tested region. Using Gene Ontology and Enrichment analysis, we were able to associate (for each of the TFs studied) the target genes of both types of binding with known biological processes. Most GO terms were enriched either among the proximal targets or among those with a uniform distribution of binding sites. For example, the three stemness-related TFs have several hundred target genes that belong to "development" and "morphogenesis" whose binding sites belong to the uniform dis-tribution.
Domany Eytan
Koudritsky Mark
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