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Transcriptome-scale RNase-footprinting of RNA-protein complexes
Zhe Ji1,2, Ruisheng Song1, Hailiang Huang2,3
1Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, Massachusetts, USA.
Nature Biotechnology
|February 23, 2016
Summary
This study introduces Rfoot, a computational tool to identify nonribosomal RNA-protein complexes in ribosomal profiling data. Rfoot precisely maps protected RNA regions, revealing conserved functional elements in various RNA types.
Area of Science:
- Molecular Biology
- Genomics
- Bioinformatics
Background:
- Ribosome profiling is a key technique for studying translation.
- However, sequence reads can originate from nonribosomal RNA-protein complexes, complicating analysis.
- Distinguishing these complexes is crucial for accurate biological interpretation.
Purpose of the Study:
- To develop a computational pipeline, Rfoot, for analyzing ribosomal profiling data.
- To identify and precisely map native, nonribosomal RNA-protein complexes.
- To investigate the association patterns of various RNA classes with protein complexes.
Main Methods:
- Development of the Rfoot computational pipeline.
- Application of Rfoot to analyze ribosomal profiling data from human cells.
- Mapping RNase-protected regions in small nucleolar RNAs, spliceosomal RNAs, microRNAs, tRNAs, long noncoding RNAs, and mRNA 3' UTRs.
Main Results:
- Rfoot successfully identified RNase-protected regions in diverse RNA types.
- Differential complex association was observed even among RNAs of the same class.
- A subset of long noncoding RNAs (lncRNAs) exhibited multiple, evolutionarily conserved RNase footprints, suggesting functional roles.
Conclusions:
- Rfoot enhances the analysis of ribosomal profiling data by distinguishing nonribosomal RNA-protein complexes.
- The pipeline provides precise mapping of protected RNA regions, offering insights into RNA-protein interactions.
- Conserved footprints in lncRNAs highlight their potential biological functions and involvement in complex formation.
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