Literature DB >> 30168907

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

Zhe Ji1,2.   

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.
© 2018 by John Wiley & Sons, Inc. © 2018 John Wiley & Sons, Inc.

Entities:  

Keywords:  RNase footprinting; lncRNA; non-ribosomal protein-RNA complex; ribosome profiling; small noncoding RNA

Mesh:

Substances:

Year:  2018        PMID: 30168907      PMCID: PMC6168344          DOI: 10.1002/cpmb.66

Source DB:  PubMed          Journal:  Curr Protoc Mol Biol        ISSN: 1934-3647


  12 in total

Review 1.  Genome regulation by long noncoding RNAs.

Authors:  John L Rinn; Howard Y Chang
Journal:  Annu Rev Biochem       Date:  2012       Impact factor: 23.643

2.  Fast gapped-read alignment with Bowtie 2.

Authors:  Ben Langmead; Steven L Salzberg
Journal:  Nat Methods       Date:  2012-03-04       Impact factor: 28.547

Review 3.  lincRNAs: genomics, evolution, and mechanisms.

Authors:  Igor Ulitsky; David P Bartel
Journal:  Cell       Date:  2013-07-03       Impact factor: 41.582

4.  Transcriptome-wide measurement of translation by ribosome profiling.

Authors:  Nicholas J McGlincy; Nicholas T Ingolia
Journal:  Methods       Date:  2017-06-01       Impact factor: 3.608

Review 5.  HITS-CLIP: panoramic views of protein-RNA regulation in living cells.

Authors:  Robert B Darnell
Journal:  Wiley Interdiscip Rev RNA       Date:  2010-08-02       Impact factor: 9.957

6.  Genome-wide analysis in vivo of translation with nucleotide resolution using ribosome profiling.

Authors:  Nicholas T Ingolia; Sina Ghaemmaghami; John R S Newman; Jonathan S Weissman
Journal:  Science       Date:  2009-02-12       Impact factor: 47.728

7.  Ribosome profiling reveals pervasive translation outside of annotated protein-coding genes.

Authors:  Nicholas T Ingolia; Gloria A Brar; Noam Stern-Ginossar; Michael S Harris; Gaëlle J S Talhouarne; Sarah E Jackson; Mark R Wills; Jonathan S Weissman
Journal:  Cell Rep       Date:  2014-08-21       Impact factor: 9.423

8.  Many lncRNAs, 5'UTRs, and pseudogenes are translated and some are likely to express functional proteins.

Authors:  Zhe Ji; Ruisheng Song; Aviv Regev; Kevin Struhl
Journal:  Elife       Date:  2015-12-19       Impact factor: 8.140

9.  TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions.

Authors:  Daehwan Kim; Geo Pertea; Cole Trapnell; Harold Pimentel; Ryan Kelley; Steven L Salzberg
Journal:  Genome Biol       Date:  2013-04-25       Impact factor: 13.583

10.  Transcriptome-scale RNase-footprinting of RNA-protein complexes.

Authors:  Zhe Ji; Ruisheng Song; Hailiang Huang; Aviv Regev; Kevin Struhl
Journal:  Nat Biotechnol       Date:  2016-02-22       Impact factor: 54.908

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  4 in total

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Journal:  NPJ Genom Med       Date:  2021-01-25       Impact factor: 8.617

3.  Low-input RNase footprinting for simultaneous quantification of cytosolic and mitochondrial translation.

Authors:  Qianru Li; Haiwang Yang; Emily K Stroup; Hongbin Wang; Zhe Ji
Journal:  Genome Res       Date:  2022-02-22       Impact factor: 9.438

4.  Novel open reading frames in human accelerated regions and transposable elements reveal new leads to understand schizophrenia and bipolar disorder.

Authors:  Chaitanya Erady; Krishna Amin; Temiloluwa O A E Onilogbo; Jakub Tomasik; Rebekah Jukes-Jones; Yagnesh Umrania; Sabine Bahn; Sudhakaran Prabakaran
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  4 in total

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