Literature DB >> 22832108

Global analysis of RNA secondary structure in two metazoans.

Fan Li1, Qi Zheng, Paul Ryvkin, Isabelle Dragomir, Yaanik Desai, Subhadra Aiyer, Otto Valladares, Jamie Yang, Shelly Bambina, Leah R Sabin, John I Murray, Todd Lamitina, Arjun Raj, Sara Cherry, Li-San Wang, Brian D Gregory.   

Abstract

The secondary structure of RNA is necessary for its maturation, regulation, processing, and function. However, the global influence of RNA folding in eukaryotes is still unclear. Here, we use a high-throughput, sequencing-based, structure-mapping approach to identify the paired (double-stranded RNA [dsRNA]) and unpaired (single-stranded RNA [ssRNA]) components of the Drosophila melanogaster and Caenorhabditis elegans transcriptomes, which allows us to identify conserved features of RNA secondary structure in metazoans. From this analysis, we find that ssRNAs and dsRNAs are significantly correlated with specific epigenetic modifications. Additionally, we find key structural patterns across protein-coding transcripts that indicate that RNA folding demarcates regions of protein translation and likely affects microRNA-mediated regulation of mRNAs in animals. Finally, we identify and characterize 546 mRNAs whose folding pattern is significantly correlated between these metazoans, suggesting that their structure has some function. Overall, our findings provide a global assessment of RNA folding in animals.
Copyright © 2012 The Authors. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22832108     DOI: 10.1016/j.celrep.2011.10.002

Source DB:  PubMed          Journal:  Cell Rep            Impact factor:   9.423


  74 in total

1.  Probing-directed identification of novel structured RNAs.

Authors:  Svetlana V Vinogradova; Roman A Sutormin; Andrey A Mironov; Ruslan A Soldatov
Journal:  RNA Biol       Date:  2016       Impact factor: 4.652

Review 2.  Probing dimensionality beyond the linear sequence of mRNA.

Authors:  Cristian Del Campo; Zoya Ignatova
Journal:  Curr Genet       Date:  2015-12-09       Impact factor: 3.886

3.  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 4.  Measuring RNA structure transcriptome-wide with icSHAPE.

Authors:  Dalen Chan; Chao Feng; Robert C Spitale
Journal:  Methods       Date:  2017-03-20       Impact factor: 3.608

5.  A Global View of RNA-Protein Interactions Identifies Post-transcriptional Regulators of Root Hair Cell Fate.

Authors:  Shawn W Foley; Sager J Gosai; Dongxue Wang; Nur Selamoglu; Amelia C Sollitti; Tino Köster; Alexander Steffen; Eric Lyons; Fevzi Daldal; Benjamin A Garcia; Dorothee Staiger; Roger B Deal; Brian D Gregory
Journal:  Dev Cell       Date:  2017-04-24       Impact factor: 12.270

6.  Genome-wide mapping of RNA structure using nuclease digestion and high-throughput sequencing.

Authors:  Yue Wan; Kun Qu; Zhengqing Ouyang; Howard Y Chang
Journal:  Nat Protoc       Date:  2013-04-04       Impact factor: 13.491

Review 7.  Insights into RNA structure and function from genome-wide studies.

Authors:  Stefanie A Mortimer; Mary Anne Kidwell; Jennifer A Doudna
Journal:  Nat Rev Genet       Date:  2014-05-13       Impact factor: 53.242

Review 8.  The spliceosome as a transposon sensor.

Authors:  Phillip A Dumesic; Hiten D Madhani
Journal:  RNA Biol       Date:  2013-11       Impact factor: 4.652

Review 9.  Genomic era analyses of RNA secondary structure and RNA-binding proteins reveal their significance to post-transcriptional regulation in plants.

Authors:  Ian M Silverman; Fan Li; Brian D Gregory
Journal:  Plant Sci       Date:  2013-02-01       Impact factor: 4.729

10.  Regulatory impact of RNA secondary structure across the Arabidopsis transcriptome.

Authors:  Fan Li; Qi Zheng; Lee E Vandivier; Matthew R Willmann; Ying Chen; Brian D Gregory
Journal:  Plant Cell       Date:  2012-11-13       Impact factor: 11.277

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