Rfoot: Transcriptome-Scale Identification of RNA-Protein Complexes from Ribosome Profiling Data

Zhe Ji*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Ribosome profiling was developed to identify genome-wide RNA fragments associated with translating ribosomes. However, no experimental procedure was developed to effectively purify ribosome-RNA complexes. Actually, ribosome profiling is a transcriptomic RNase footprinting assay, which can identify both ribosomal and non-ribosomal protein-RNA complexes. Many sequencing reads represent functional RNA footprints associated with non-ribosomal proteins. Here I present a computational pipeline named Rfoot to systematically identify genome-wide non-ribosomal RNA footprints, based on the highly localized read distribution feature. Analyses have revealed native functional protein-RNA complexes in lncRNAs, 3′UTRs of mRNAs, and all types of small noncoding RNAs. This computational tool is useful for discovering novel noncoding functions of RNAs.

Original languageEnglish (US)
Article numbere66
JournalCurrent Protocols in Molecular Biology
Volume124
Issue number1
DOIs
StatePublished - Oct 2018

Keywords

  • RNase footprinting
  • lncRNA
  • non-ribosomal protein-RNA complex
  • ribosome profiling
  • small noncoding RNA

ASJC Scopus subject areas

  • Molecular Biology

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