Literature DB >> 25797096

The RNA structurome: transcriptome-wide structure probing with next-generation sequencing.

Chun Kit Kwok1, Yin Tang2, Sarah M Assmann3, Philip C Bevilacqua4.   

Abstract

RNA folds into intricate structures that enable its pivotal roles in biology, ranging from regulation of gene expression to ligand sensing and enzymatic functions. Therefore, elucidating RNA structure can provide profound insights into living systems. A recent marriage between in vivo RNA structure probing and next-generation sequencing (NGS) has revolutionized the RNA field by enabling transcriptome-wide structure determination in vivo, which has been applied to date to human cells, yeast cells, and Arabidopsis seedlings. Analysis of resultant in vivo 'RNA structuromes' provides new and important information regarding myriad cellular processes, including control of translation, alternative splicing, alternative polyadenylation, energy-dependent unfolding of mRNA, and effects of proteins on RNA structure. An emerging view suggests potential links between RNA structure and stress and disease physiology across the tree of life. As we discuss here, these exciting findings open new frontiers into RNA biology, genome biology, and beyond.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  RNA structure; RNA structurome; next-generation sequencing (NGS); structure prediction; structure probing; transcriptome

Mesh:

Substances:

Year:  2015        PMID: 25797096     DOI: 10.1016/j.tibs.2015.02.005

Source DB:  PubMed          Journal:  Trends Biochem Sci        ISSN: 0968-0004            Impact factor:   13.807


  61 in total

1.  Selective 2'-hydroxyl acylation analyzed by primer extension and mutational profiling (SHAPE-MaP) for direct, versatile and accurate RNA structure analysis.

Authors:  Matthew J Smola; Greggory M Rice; Steven Busan; Nathan A Siegfried; Kevin M Weeks
Journal:  Nat Protoc       Date:  2015-10-01       Impact factor: 13.491

2.  Comparative and integrative analysis of RNA structural profiling data: current practices and emerging questions.

Authors:  Krishna Choudhary; Fei Deng; Sharon Aviran
Journal:  Quant Biol       Date:  2017-03-30

3.  Probing RNA folding pathways by RNA fingerprinting.

Authors:  S A Woodson
Journal:  Curr Protoc Nucleic Acid Chem       Date:  2001-05

4.  StructureFold: genome-wide RNA secondary structure mapping and reconstruction in vivo.

Authors:  Yin Tang; Emil Bouvier; Chun Kit Kwok; Yiliang Ding; Anton Nekrutenko; Philip C Bevilacqua; Sarah M Assmann
Journal:  Bioinformatics       Date:  2015-04-16       Impact factor: 6.937

Review 5.  Decoding the RNA structurome.

Authors:  Zhipeng Lu; Howard Y Chang
Journal:  Curr Opin Struct Biol       Date:  2016-02-26       Impact factor: 6.809

6.  Analyses of mRNA structure dynamics identify embryonic gene regulatory programs.

Authors:  Jean-Denis Beaudoin; Eva Maria Novoa; Charles E Vejnar; Valeria Yartseva; Carter M Takacs; Manolis Kellis; Antonio J Giraldez
Journal:  Nat Struct Mol Biol       Date:  2018-07-30       Impact factor: 15.369

7.  Studying RNA Homology and Conservation with Infernal: From Single Sequences to RNA Families.

Authors:  Lars Barquist; Sarah W Burge; Paul P Gardner
Journal:  Curr Protoc Bioinformatics       Date:  2016-06-20

8.  rG4-seq reveals widespread formation of G-quadruplex structures in the human transcriptome.

Authors:  Chun Kit Kwok; Giovanni Marsico; Aleksandr B Sahakyan; Vicki S Chambers; Shankar Balasubramanian
Journal:  Nat Methods       Date:  2016-08-29       Impact factor: 28.547

Review 9.  Progress and challenges for chemical probing of RNA structure inside living cells.

Authors:  Miles Kubota; Catherine Tran; Robert C Spitale
Journal:  Nat Chem Biol       Date:  2015-11-17       Impact factor: 15.040

Review 10.  RNA systems biology: uniting functional discoveries and structural tools to understand global roles of RNAs.

Authors:  Eric J Strobel; Kyle E Watters; David Loughrey; Julius B Lucks
Journal:  Curr Opin Biotechnol       Date:  2016-04-30       Impact factor: 9.740

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