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PMID: 21179027 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Integrative model of genomic factors for determining binding site selection by estrogen receptor-α.

Molecular systems biology ·Vol. 6 ·2010-12-21 ·Pages 456

Joseph R, Orlov YL, Huss M, Sun W, Kong SL, Ukil L, Pan YF, Li G, Lim M, Thomsen JS, Ruan Y, Clarke ND, Prabhakar S, Cheung E, Liu ET

Abstract

A major question in transcription factor (TF) biology is why a TF binds to only a small fraction of motif eligible binding sites in the genome. Using the estrogen receptor-α as a model system, we sought to explicitly define parameters that determine TF-binding site selection. By examining 12 genetic and epigenetic parameters, we find that an energetically favorable estrogen response element (ERE) motif sequence, co-occupancy by the TF FOXA1, the presence of the H3K4me1 mark and an open chromatin configuration in the pre-ligand state provide specificity for ER binding. These factors can model estrogen-induced ER binding with high accuracy (ROC-AUC=0.95 and 0.88 using different genomic backgrounds). Moreover, when assessed in another estrogen-responsive cell line, this model was highly predictive for ERα binding (ROC-AUC=0.86). Variance in binding site selection between MCF-7 and T47D resides in sites with suboptimal ERE motifs, but modulated by the chromatin configuration. These results suggest a definable interplay between sequence motifs and local chromatin in selecting TF binding.

MeSH Terms
Base Sequence Binding Sites Cell Line Cell Line, Tumor Chromatin/metabolism DNA-Binding Proteins/genetics,metabolism Estrogen Receptor alpha/chemistry,genetics,metabolism Hepatocyte Nuclear Factor 3-alpha Humans Ligands Models, Biological Protein Binding RNA Polymerase II/metabolism Response Elements Transcription Factors/metabolism Transcription Initiation Site
Chemicals
Chromatin DNA-Binding Proteins Estrogen Receptor alpha Hepatocyte Nuclear Factor 3-alpha Ligands Transcription Factors RNA Polymerase II
Authors & Affiliations
15 authors, click to expand affiliations / ORCID
Joseph Roy
Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore.
Orlov Yuriy L
Huss Mikael
Sun Wenjie
Kong Say Li
Ukil Leena
Pan You Fu
Li Guoliang
Lim Michael
Thomsen Jane S
Ruan Yijun
Clarke Neil D
Prabhakar Shyam
Cheung Edwin
Liu Edison T
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Article Info
Journal
Molecular systems biology
Abbr.
Mol Syst Biol
ISSN
1744-4292
Published
2010-12-21
Pages
456
Language
English
Region
England
NLM ID
101235389
PMCID
PMC3018168
Subset
IM
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