Synergistic action of master transcription factors controls epithelial-to-mesenchymal transition
Autor: | Liwen Zhang, Haiyue Liu, Mengzhu Xue, Chang Hongyuan, Peng Wang, Yuwei Liu, Shaowei Du |
---|---|
Rok vydání: | 2016 |
Předmět: |
0301 basic medicine
BRD4 Epithelial-Mesenchymal Transition Lung Neoplasms JUNB Adenocarcinoma of Lung Antineoplastic Agents Cell Cycle Proteins Biology Adenocarcinoma Proto-Oncogene Protein c-ets-2 Histones 03 medical and health sciences Transforming Growth Factor beta Cell Line Tumor Genetics Humans Epithelial–mesenchymal transition Smad3 Protein RNA Small Interfering Transcription factor Regulation of gene expression Sequence Analysis RNA Gene Expression Profiling Nuclear Proteins Computational Biology Epithelial Cells Transforming growth factor beta Azepines Triazoles Phenotype Survival Analysis Cell biology Gene expression profiling Gene Expression Regulation Neoplastic 030104 developmental biology Hepatocyte Nuclear Factor 4 embryonic structures Cancer research biology.protein Transcriptome Signal Transduction Transcription Factors |
Zdroj: | Nucleic Acids Research |
ISSN: | 1362-4962 |
Popis: | Epithelial-to-mesenchymal transition (EMT) is a complex multistep process in which phenotype switches are mediated by a network of transcription factors (TFs). Systematic characterization of all dynamic TFs controlling EMT state transitions, especially for the intermediate partial-EMT state, represents a highly relevant yet largely unexplored task. Here, we performed a computational analysis that integrated time-course EMT transcriptomic data with public cistromic data and identified three synergistic master TFs (ETS2, HNF4A and JUNB) that regulate the transition through the partial-EMT state. Overexpression of these regulators predicted a poor clinical outcome, and their elimination readily abolished TGF-β-induced EMT. Importantly, these factors utilized a clique motif, physically interact and their cumulative binding generally characterized EMT-associated genes. Furthermore, analyses of H3K27ac ChIP-seq data revealed that ETS2, HNF4A and JUNB are associated with super-enhancers and the administration of BRD4 inhibitor readily abolished TGF-β-induced EMT. These findings have implications for systematic discovery of master EMT regulators and super-enhancers as novel targets for controlling metastasis. |
Databáze: | OpenAIRE |
Externí odkaz: |