eRNA-IDO: A One-stop Platform for Identification, Interactome Discovery, and Functional Annotation of Enhancer RNAs

Genomics Proteomics Bioinformatics. 2024 Oct 15;22(4):qzae059. doi: 10.1093/gpbjnl/qzae059.

Abstract

Growing evidence supports the transcription of enhancer RNAs (eRNAs) and their important roles in gene regulation. However, their interactions with other biomolecules and their corresponding functionality remain poorly understood. In an attempt to facilitate mechanistic research, this study presents eRNA-IDO, the first integrative computational platform for the identification, interactome discovery, and functional annotation of human eRNAs. eRNA-IDO comprises two modules: eRNA-ID and eRNA-Anno. Functionally, eRNA-ID can identify eRNAs from de novo assembled transcriptomes. eRNA-ID includes eight kinds of enhancer makers, enabling users to customize enhancer regions flexibly and conveniently. In addition, eRNA-Anno provides cell-/tissue-specific functional annotation for both new and known eRNAs by analyzing the eRNA interactome from prebuilt or user-defined networks between eRNAs and protein-coding genes. The prebuilt networks include the Genotype-Tissue Expression (GTEx)-based co-expression networks in normal tissues, The Cancer Genome Atlas (TCGA)-based co-expression networks in cancer tissues, and omics-based eRNA-centric regulatory networks. eRNA-IDO can facilitate research on the biogenesis and functions of eRNAs. The eRNA-IDO server is freely available at http://bioinfo.szbl.ac.cn/eRNA_IDO/.

Keywords: Enhancer RNA; Functional annotation; Identification; Interactome; Web server.

MeSH terms

  • Computational Biology / methods
  • Enhancer Elements, Genetic* / genetics
  • Enhancer RNAs
  • Gene Regulatory Networks / genetics
  • Humans
  • Molecular Sequence Annotation* / methods
  • RNA* / genetics
  • RNA* / metabolism
  • Software
  • Transcriptome / genetics

Substances

  • RNA
  • Enhancer RNAs