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

  • Yuwei Zhang
  • , Lihai Gong
  • , Ruofan Ding
  • , Wenyan Chen
  • , Hao Rong
  • , Yanguo Li
  • , Fawziya Shameem
  • , Korakkandan Arshad Ali
  • , Lei Li
  • , Qi Liao

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

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/.

Original languageEnglish
Article numberqzae059
JournalGenomics, Proteomics and Bioinformatics
Volume22
Issue number4
DOIs
StatePublished - 1 Aug 2024
Externally publishedYes

Keywords

  • Enhancer RNA
  • Functional annotation
  • Identification
  • Interactome
  • Web server

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