A High-Resolution Map of Human Enhancer RNA Loci Characterizes Super-enhancer Activities in Cancer

Han Chen; Han Liang

doi:10.1016/j.ccell.2020.08.020

A High-Resolution Map of Human Enhancer RNA Loci Characterizes Super-enhancer Activities in Cancer

Han Chen, Han Liang

Bioinformatics & Computational Biology

Research output: Contribution to journal › Article › peer-review

64 Scopus citations

Abstract

Chen and Liang provide a high-resolution map of eRNA loci through which super-enhancer activities can be conveniently quantified by RNA-seq. The eRNA signals in cancer samples are clinically relevant and provide additional explanatory power for cancer phenotypes beyond those provided by mRNAs through resolving intra-tumor heterogeneity with enhancer cell-type specificity.

Original language	English (US)
Pages (from-to)	701-715.e5
Journal	Cancer cell
Volume	38
Issue number	5
DOIs	https://doi.org/10.1016/j.ccell.2020.08.020
State	Published - Nov 9 2020

Keywords

GTEx
The Cancer Genome Atlas
immunotherapy
nucleosome binding
super enhancer

ASJC Scopus subject areas

Oncology
Cell Biology
Cancer Research

MD Anderson CCSG core facilities

Bioinformatics Shared Resource

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10.1016/j.ccell.2020.08.020

Cite this

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title = "A High-Resolution Map of Human Enhancer RNA Loci Characterizes Super-enhancer Activities in Cancer",

abstract = "Chen and Liang provide a high-resolution map of eRNA loci through which super-enhancer activities can be conveniently quantified by RNA-seq. The eRNA signals in cancer samples are clinically relevant and provide additional explanatory power for cancer phenotypes beyond those provided by mRNAs through resolving intra-tumor heterogeneity with enhancer cell-type specificity.",

keywords = "GTEx, The Cancer Genome Atlas, immunotherapy, nucleosome binding, super enhancer",

author = "Han Chen and Han Liang",

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year = "2020",

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AU - Liang, Han

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N2 - Chen and Liang provide a high-resolution map of eRNA loci through which super-enhancer activities can be conveniently quantified by RNA-seq. The eRNA signals in cancer samples are clinically relevant and provide additional explanatory power for cancer phenotypes beyond those provided by mRNAs through resolving intra-tumor heterogeneity with enhancer cell-type specificity.

AB - Chen and Liang provide a high-resolution map of eRNA loci through which super-enhancer activities can be conveniently quantified by RNA-seq. The eRNA signals in cancer samples are clinically relevant and provide additional explanatory power for cancer phenotypes beyond those provided by mRNAs through resolving intra-tumor heterogeneity with enhancer cell-type specificity.

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KW - The Cancer Genome Atlas

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KW - nucleosome binding

KW - super enhancer

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A High-Resolution Map of Human Enhancer RNA Loci Characterizes Super-enhancer Activities in Cancer

Abstract

Keywords

ASJC Scopus subject areas

MD Anderson CCSG core facilities

Access to Document

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