Literature DB >> 27184079

In Vivo Mapping of Eukaryotic RNA Interactomes Reveals Principles of Higher-Order Organization and Regulation.

Jong Ghut Ashley Aw1, Yang Shen2, Andreas Wilm2, Miao Sun2, Xin Ni Lim1, Kum-Loong Boon1, Sidika Tapsin1, Yun-Shen Chan1, Cheng-Peow Tan1, Adelene Y L Sim3, Tong Zhang4, Teodorus Theo Susanto1, Zhiyan Fu2, Niranjan Nagarajan5, Yue Wan6.   

Abstract

Identifying pairwise RNA-RNA interactions is key to understanding how RNAs fold and interact with other RNAs inside the cell. We present a high-throughput approach, sequencing of psoralen crosslinked, ligated, and selected hybrids (SPLASH), that maps pairwise RNA interactions in vivo with high sensitivity and specificity, genome-wide. Applying SPLASH to human and yeast transcriptomes revealed the diversity and dynamics of thousands of long-range intra- and intermolecular RNA-RNA interactions. Our analysis highlighted key structural features of RNA classes, including the modular organization of mRNAs, its impact on translation and decay, and the enrichment of long-range interactions in noncoding RNAs. Additionally, intermolecular mRNA interactions were organized into network clusters and were remodeled during cellular differentiation. We also identified hundreds of known and new snoRNA-rRNA binding sites, expanding our knowledge of rRNA biogenesis. These results highlight the underexplored complexity of RNA interactomes and pave the way to better understanding how RNA organization impacts biology.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27184079     DOI: 10.1016/j.molcel.2016.04.028

Source DB:  PubMed          Journal:  Mol Cell        ISSN: 1097-2765            Impact factor:   17.970


  118 in total

Review 1.  The RNA Base-Pairing Problem and Base-Pairing Solutions.

Authors:  Zhipeng Lu; Howard Y Chang
Journal:  Cold Spring Harb Perspect Biol       Date:  2018-12-03       Impact factor: 10.005

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

Review 3.  RNA modifications and structures cooperate to guide RNA-protein interactions.

Authors:  Cole J T Lewis; Tao Pan; Auinash Kalsotra
Journal:  Nat Rev Mol Cell Biol       Date:  2017-02-01       Impact factor: 94.444

4.  Suboptimal RNA-RNA interaction limits U1 snRNP inhibition of canonical mRNA 3' processing.

Authors:  Junjie Shi; Yanhui Deng; Shanshan Huang; Chunliu Huang; Jinkai Wang; Andy Peng Xiang; Chengguo Yao
Journal:  RNA Biol       Date:  2019-07-07       Impact factor: 4.652

Review 5.  Global in situ profiling of RNA-RNA spatial interactions with RIC-seq.

Authors:  Changchang Cao; Zhaokui Cai; Rong Ye; Ruibao Su; Naijing Hu; Hailian Zhao; Yuanchao Xue
Journal:  Nat Protoc       Date:  2021-05-21       Impact factor: 13.491

6.  Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen.

Authors:  Jong Ghut Ashley Aw; Yang Shen; Niranjan Nagarajan; Yue Wan
Journal:  J Vis Exp       Date:  2017-05-24       Impact factor: 1.355

Review 7.  Novel roles for Sm-class RNAs in the regulation of gene expression.

Authors:  Demián Cazalla
Journal:  RNA Biol       Date:  2018-07-09       Impact factor: 4.652

8.  Identification of host RNAs that interact with EBV noncoding RNA EBER2.

Authors:  Adalena V Nanni; Nara Lee
Journal:  RNA Biol       Date:  2018-09-18       Impact factor: 4.652

9.  In vivo analysis of influenza A mRNA secondary structures identifies critical regulatory motifs.

Authors:  Lisa Marie Simon; Edoardo Morandi; Anna Luganini; Giorgio Gribaudo; Luis Martinez-Sobrido; Douglas H Turner; Salvatore Oliviero; Danny Incarnato
Journal:  Nucleic Acids Res       Date:  2019-07-26       Impact factor: 16.971

Review 10.  Teaching an Old Virus New Tricks: A Review on New Approaches to Study Age-Old Questions in Influenza Biology.

Authors:  Seema S Lakdawala; Nara Lee; Christopher B Brooke
Journal:  J Mol Biol       Date:  2019-04-30       Impact factor: 5.469

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