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 language | English (US) |
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Article number | e66 |
Journal | Current Protocols in Molecular Biology |
Volume | 124 |
Issue number | 1 |
DOIs | |
State | Published - Oct 2018 |
Keywords
- RNase footprinting
- lncRNA
- non-ribosomal protein-RNA complex
- ribosome profiling
- small noncoding RNA
ASJC Scopus subject areas
- Molecular Biology