RT Journal A1 Franco, Hector L. A1 Nagari, Anusha A1 Malladi, Venkat S. A1 Li, Wenqian A1 Xi, Yuanxin A1 Richardson, Dana A1 Allton, Kendra L. A1 Tanaka, Kaori A1 Li, Jing A1 Murakami, Shino A1 Keyomarsi, Khandan A1 Bedford, Mark T. A1 Shi, Xiaobing A1 Li, Wei A1 Barton, Michelle C. A1 Dent, Sharon Y.R. A1 Kraus, W. Lee T1 Enhancer transcription reveals subtype-specific gene expression programs controlling breast cancer pathogenesis JF Genome Research JO Genome Research YR 2018 FD February 01 VO 28 IS 2 SP 159 OP 170 DO 10.1101/gr.226019.117 UL http://genome.cshlp.org/content/28/2/159.abstract AB 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.