Abstract |
The heterogeneity of transcriptional regulations by super-enhancers (SEs) is poorly understood in human cancers. Herein, we summarize a bioinformatics workflow for genome-wide SE profiling and identification of subtype-specific SEs and regulatory networks. Dissecting SE heterogeneity provides new insights into cancer biology and alternative therapeutic strategies for cancer precision medicine.
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Authors | Tan Wu, Hao Huang, Xin Wang |
Journal | Trends in genetics : TIG
(Trends Genet)
Vol. 38
Issue 12
Pg. 1199-1203
(12 2022)
ISSN: 0168-9525 [Print] England |
PMID | 35803787
(Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
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Copyright | Copyright © 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved. |
Topics |
- Humans
- Regulatory Sequences, Nucleic Acid
- Neoplasms
(genetics)
- Computational Biology
- Gene Expression Regulation
- Enhancer Elements, Genetic
(genetics)
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