RNAactDrug: a comprehensive database of RNAs associated with drug sensitivity from multi-omics data

Brief Bioinform. 2020 Dec 1;21(6):2167-2174. doi: 10.1093/bib/bbz142.

Abstract

Drug sensitivity has always been at the core of individualized cancer chemotherapy. However, we have been overwhelmed by large-scale pharmacogenomic data in the era of next-generation sequencing technology, which makes it increasingly challenging for researchers, especially those without bioinformatic experience, to perform data integration, exploration and analysis. To bridge this gap, we developed RNAactDrug, a comprehensive database of RNAs associated with drug sensitivity from multi-omics data, which allows users to explore drug sensitivity and RNA molecule associations directly. It provides association data between drug sensitivity and RNA molecules including mRNAs, long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) at four molecular levels (expression, copy number variation, mutation and methylation) from integrated analysis of three large-scale pharmacogenomic databases (GDSC, CellMiner and CCLE). RNAactDrug currently stores more than 4 924 200 associations of RNA molecules and drug sensitivity at four molecular levels covering more than 19 770 mRNAs, 11 119 lncRNAs, 438 miRNAs and 4155 drugs. A user-friendly interface enriched with various browsing sections augmented with advance search facility for querying the database is offered for users retrieving. RNAactDrug provides a comprehensive resource for RNA molecules acting in drug sensitivity, and it could be used to prioritize drug sensitivity-related RNA molecules, further promoting the identification of clinically actionable biomarkers in drug sensitivity and drug development more cost-efficiently by making this knowledge accessible to both basic researchers and clinical practitioners. Database URL: http://bio-bigdata.hrbmu.edu.cn/RNAactDrug.

Keywords: RNAactDrug; RNAs; drug sensitivity; integrative resource; multi-omics.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computational Biology
  • DNA Copy Number Variations
  • Data Management
  • Drug Resistance*
  • High-Throughput Nucleotide Sequencing*
  • MicroRNAs* / genetics
  • Pharmaceutical Preparations
  • RNA, Long Noncoding* / genetics
  • Software

Substances

  • MicroRNAs
  • Pharmaceutical Preparations
  • RNA, Long Noncoding