Enhancer transcription reveals subtype-specific gene expression programs controlling breast cancer pathogenesis.
Enhancer transcription reveals subtype-specific gene expression programs controlling breast cancer pathogenesis.
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DOI:
10.1101/gr.226019.117
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发表时间:
2018-03
期刊:
影响因子:
7
通讯作者:
Kraus WL
中科院分区:
文献类型:
--
作者:
Franco HL;Nagari A;Malladi VS;Li W;Xi Y;Richardson D;Allton KL;Tanaka K;Li J;Murakami S;Keyomarsi K;Bedford MT;Shi X;Li W;Barton MC;Dent SYR;Kraus WL
Noncoding transcription is a defining feature of active enhancers, linking transcription factor (TF) binding to the molecular mechanisms controlling gene expression. To determine the relationship between enhancer activity and biological outcomes in breast cancers, we profiled the transcriptomes (using GRO-seq and RNA-seq) and epigenomes (using ChIP-seq) of 11 different human breast cancer cell lines representing five major molecular subtypes of breast cancer, as well as two immortalized (“normal”) human breast cell lines. In addition, we developed a robust and unbiased computational pipeline that simultaneously identifies putative subtype-specific enhancers and their cognate TFs by integrating the magnitude of enhancer transcription, TF mRNA expression levels, TF motif P-values, and enrichment of H3K4me1 and H3K27ac. When applied across the 13 different cell lines noted above, the Total Functional Score of Enhancer Elements (TFSEE) identified key breast cancer subtype-specific TFs that act at transcribed enhancers to dictate gene expression patterns determining growth outcomes, including Forkhead TFs, FOSL1, and PLAG1. FOSL1, a Fos family TF, (1) is highly enriched at the enhancers of triple negative breast cancer (TNBC) cells, (2) acts as a key regulator of the proliferation and viability of TNBC cells, but not Luminal A cells, and (3) is associated with a poor prognosis in TNBC breast cancer patients. Taken together, our results validate our enhancer identification pipeline and reveal that enhancers transcribed in breast cancer cells direct critical gene regulatory networks that promote pathogenesis.
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影响因子:
64.8
作者:
Heintzman, Nathaniel D.;Hon, Gary C.;Hawkins, R. David;Kheradpour, Pouya;Stark, Alexander;Harp, Lindsey F.;Ye, Zhen;Lee, Leonard K.;Stuart, Rhona K.;Ching, Christina W.;Ching, Keith A.;Antosiewicz-Bourget, Jessica E.;Liu, Hui;Zhang, Xinmin;Green, Roland D.;Lobanenkov, Victor V.;Stewart, Ron;Thomson, James A.;Crawford, Gregory E.;Kellis, Manolis;Ren, Bing
通讯作者:
Ren, Bing
DOI:
10.1038/nrm3949
发表时间:
2015-03
期刊:
Nature reviews. Molecular cell biology
影响因子:
--
作者:
Heinz S;Romanoski CE;Benner C;Glass CK
通讯作者:
Glass CK
影响因子:
64.5
作者:
Hah N;Danko CG;Core L;Waterfall JJ;Siepel A;Lis JT;Kraus WL
通讯作者:
Kraus WL
影响因子:
14.9
作者:
Bailey TL;Boden M;Buske FA;Frith M;Grant CE;Clementi L;Ren J;Li WW;Noble WS
通讯作者:
Noble WS
影响因子:
64.5
作者:
Ciriello G;Gatza ML;Beck AH;Wilkerson MD;Rhie SK;Pastore A;Zhang H;McLellan M;Yau C;Kandoth C;Bowlby R;Shen H;Hayat S;Fieldhouse R;Lester SC;Tse GM;Factor RE;Collins LC;Allison KH;Chen YY;Jensen K;Johnson NB;Oesterreich S;Mills GB;Cherniack AD;Robertson G;Benz C;Sander C;Laird PW;Hoadley KA;King TA;TCGA Research Network;Perou CM
通讯作者:
Perou CM