Sequence features and chromatin structure around the genomic regions bound by 119 human transcription factors.
Sequence features and chromatin structure around the genomic regions bound by 119 human transcription factors.
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DOI:
10.1101/gr.139105.112
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发表时间:
2012-09
期刊:
影响因子:
7
通讯作者:
Weng Z
中科院分区:
文献类型:
--
作者:
Wang J;Zhuang J;Iyer S;Lin X;Whitfield TW;Greven MC;Pierce BG;Dong X;Kundaje A;Cheng Y;Rando OJ;Birney E;Myers RM;Noble WS;Snyder M;Weng Z
Chromatin immunoprecipitation coupled with high-throughput sequencing (ChIP-seq) has become the dominant technique for mapping transcription factor (TF) binding regions genome-wide. We performed an integrative analysis centered around 457 ChIP-seq data sets on 119 human TFs generated by the ENCODE Consortium. We identified highly enriched sequence motifs in most data sets, revealing new motifs and validating known ones. The motif sites (TF binding sites) are highly conserved evolutionarily and show distinct footprints upon DNase I digestion. We frequently detected secondary motifs in addition to the canonical motifs of the TFs, indicating tethered binding and cobinding between multiple TFs. We observed significant position and orientation preferences between many cobinding TFs. Genes specifically expressed in a cell line are often associated with a greater occurrence of nearby TF binding in that cell line. We observed cell-line–specific secondary motifs that mediate the binding of the histone deacetylase HDAC2 and the enhancer-binding protein EP300. TF binding sites are located in GC-rich, nucleosome-depleted, and DNase I sensitive regions, flanked by well-positioned nucleosomes, and many of these features show cell type specificity. The GC-richness may be beneficial for regulating TF binding because, when unoccupied by a TF, these regions are occupied by nucleosomes in vivo. We present the results of our analysis in a TF-centric web repository Factorbook (http://factorbook.org) and will continually update this repository as more ENCODE data are generated.
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影响因子:
30.8
作者:
He, Housheng Hansen;Meyer, Clifford A.;Shin, Hyunjin;Bailey, Shannon T.;Wei, Gang;Wang, Qianben;Zhang, Yong;Xu, Kexin;Ni, Min;Lupien, Mathieu;Mieczkowski, Piotr;Lieb, Jason D.;Zhao, Keji;Brown, Myles;Liu, X. Shirley
通讯作者:
Liu, X. Shirley
DOI:
10.1126/science.1162327
发表时间:
2009-06-26
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Badis G;Berger MF;Philippakis AA;Talukder S;Gehrke AR;Jaeger SA;Chan ET;Metzler G;Vedenko A;Chen X;Kuznetsov H;Wang CF;Coburn D;Newburger DE;Morris Q;Hughes TR;Bulyk ML
通讯作者:
Bulyk ML
影响因子:
12.3
作者:
Li XY;Thomas S;Sabo PJ;Eisen MB;Stamatoyannopoulos JA;Biggin MD
通讯作者:
Biggin MD
影响因子:
30.8
作者:
Carroll, Jason S.;Meyer, Clifford A.;Brown, Myles
通讯作者:
Brown, Myles
影响因子:
30.8
作者:
John S;Sabo PJ;Thurman RE;Sung MH;Biddie SC;Johnson TA;Hager GL;Stamatoyannopoulos JA
通讯作者:
Stamatoyannopoulos JA