Integrative epigenomic and high-throughput functional enhancer profiling reveals determinants of enhancer heterogeneity in gastric cancer

Genome Med. 2021 Oct 11;13(1):158. doi: 10.1186/s13073-021-00970-3.

Abstract

Background: Enhancers are distal cis-regulatory elements required for cell-specific gene expression and cell fate determination. In cancer, enhancer variation has been proposed as a major cause of inter-patient heterogeneity-however, most predicted enhancer regions remain to be functionally tested.

Methods: We analyzed 132 epigenomic histone modification profiles of 18 primary gastric cancer (GC) samples, 18 normal gastric tissues, and 28 GC cell lines using Nano-ChIP-seq technology. We applied Capture-based Self-Transcribing Active Regulatory Region sequencing (CapSTARR-seq) to assess functional enhancer activity. An Activity-by-contact (ABC) model was employed to explore the effects of histone acetylation and CapSTARR-seq levels on enhancer-promoter interactions.

Results: We report a comprehensive catalog of 75,730 recurrent predicted enhancers, the majority of which are GC-associated in vivo (> 50,000) and associated with lower somatic mutation rates inferred by whole-genome sequencing. Applying CapSTARR-seq to the enhancer catalog, we observed significant correlations between CapSTARR-seq functional activity and H3K27ac/H3K4me1 levels. Super-enhancer regions exhibited increased CapSTARR-seq signals compared to regular enhancers, even when decoupled from native chromatin contexture. We show that combining histone modification and CapSTARR-seq functional enhancer data improves the prediction of enhancer-promoter interactions and pinpointing of germline single nucleotide polymorphisms (SNPs), somatic copy number alterations (SCNAs), and trans-acting TFs involved in GC expression. We identified cancer-relevant genes (ING1, ARL4C) whose expression between patients is influenced by enhancer differences in genomic copy number and germline SNPs, and HNF4α as a master trans-acting factor associated with GC enhancer heterogeneity.

Conclusions: Our results indicate that combining histone modification and functional assay data may provide a more accurate metric to assess enhancer activity than either platform individually, providing insights into the relative contribution of genetic (cis) and regulatory (trans) mechanisms to GC enhancer functional heterogeneity.

Keywords: CapSTARR-seq; Enhancer heterogeneity; Enhancer landscape; Enhancer-promoter interactions; Gastric cancer.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • ADP-Ribosylation Factors / genetics
  • ADP-Ribosylation Factors / metabolism
  • Acetylation
  • Cell Line, Tumor
  • Cell Proliferation
  • Chromatin
  • Enhancer Elements, Genetic*
  • Epigenomics*
  • Gene Expression Regulation, Neoplastic
  • Genomics
  • Histones / metabolism
  • Humans
  • Inhibitor of Growth Protein 1 / genetics
  • Inhibitor of Growth Protein 1 / metabolism
  • Oncogenes
  • Promoter Regions, Genetic
  • RNA-Seq
  • Stomach Neoplasms / genetics*
  • Transcriptome
  • Whole Genome Sequencing

Substances

  • Chromatin
  • Histones
  • ING1 protein, human
  • Inhibitor of Growth Protein 1
  • ADP-Ribosylation Factors
  • ARL4C protein, human