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

Cancer Cell. 2020 Nov 9;38(5):701-715.e5. doi: 10.1016/j.ccell.2020.08.020. Epub 2020 Oct 1.

Abstract

Although enhancers play critical roles in cancer, quantifying enhancer activities in clinical samples remains challenging, especially for super-enhancers. Enhancer activities can be inferred from enhancer RNA (eRNA) signals, which requires enhancer transcription loci definition. Only a small proportion of human eRNA loci has been precisely identified, limiting investigations of enhancer-mediated oncogenic mechanisms. Here, we characterize super-enhancer regions using aggregated RNA sequencing (RNA-seq) data from large cohorts. Super-enhancers usually contain discrete loci featuring sharp eRNA expression peaks. We identify >300,000 eRNA loci in ∼377 Mb super-enhancer regions that are regulated by evolutionarily conserved, well-positioned nucleosomes and are frequently dysregulated in cancer. The eRNAs provide explanatory power for cancer phenotypes beyond that provided by mRNA expression through resolving intratumoral heterogeneity with enhancer cell-type specificity. Our study provides a high-resolution map of eRNA loci through which super-enhancer activities can be quantified by RNA-seq and a user-friendly data portal, enabling a broad range of biomedical investigations.

Keywords: GTEx; The Cancer Genome Atlas; immunotherapy; nucleosome binding; super enhancer.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Databases, Genetic
  • Enhancer Elements, Genetic*
  • Gene Expression Regulation, Neoplastic
  • Genetic Heterogeneity
  • Humans
  • Neoplasms / genetics*
  • Nucleosomes / genetics
  • Organ Specificity
  • Phenotype
  • RNA / genetics*
  • Sequence Analysis, RNA / methods*

Substances

  • Nucleosomes
  • RNA