Literature DB >> 31765715

Clip for studying protein-RNA interactions that regulate virus replication.

Christian Shema Mugisha1, Kasyap Tenneti1, Sebla B Kutluay2.   

Abstract

Viral and cellular RNA-binding proteins regulate numerous key steps in the replication of diverse virus genera. Viruses efficiently co-opt the host cell machinery for purposes such as transcription, splicing and subcellular localization of viral genomes. Though viral RNAs often need to resemble cellular RNAs to effectively utilize the cellular machinery, they still retain unique sequence and structural features for recognition by viral proteins for processes such as RNA polymerization, RNA export and selective packaging into virus particles. While beneficial for virus replication, distinct features of viral nucleic acids can also be recognized as foreign by several host defense proteins. Development of the crosslinking immunoprecipitation coupled with sequencing (CLIP) approach has allowed the study of viral and cellular RNA binding proteins that regulate critical aspects of viral replication in unprecedented detail. By combining immunoprecipitation of covalently crosslinked protein-RNA complexes with high-throughput sequencing, CLIP provides a global account of RNA sequences bound by RNA-binding proteins of interest in physiological settings and at near-nucleotide resolution. Here, we describe the step-by-step application of the CLIP methodology within the context of two cellular splicing regulatory proteins, hnRNP A1 and hnRNP H1 that regulate HIV-1 splicing. In principle, this versatile protocol can be applied to many other viral and cellular RNA-binding proteins.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CLIP; Protein-RNA interactions; RNA-binding proteins; Sequencing

Year:  2019        PMID: 31765715      PMCID: PMC6963001          DOI: 10.1016/j.ymeth.2019.11.011

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  39 in total

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Authors:  C Tuerk; L Gold
Journal:  Science       Date:  1990-08-03       Impact factor: 47.728

2.  Rapid and systematic analysis of the RNA recognition specificities of RNA-binding proteins.

Authors:  Debashish Ray; Hilal Kazan; Esther T Chan; Lourdes Peña Castillo; Sidharth Chaudhry; Shaheynoor Talukder; Benjamin J Blencowe; Quaid Morris; Timothy R Hughes
Journal:  Nat Biotechnol       Date:  2009-06-28       Impact factor: 54.908

3.  Site identification in high-throughput RNA-protein interaction data.

Authors:  Philip J Uren; Emad Bahrami-Samani; Suzanne C Burns; Mei Qiao; Fedor V Karginov; Emily Hodges; Gregory J Hannon; Jeremy R Sanford; Luiz O F Penalva; Andrew D Smith
Journal:  Bioinformatics       Date:  2012-09-28       Impact factor: 6.937

4.  Quantitative analysis of RNA-protein interactions on a massively parallel array reveals biophysical and evolutionary landscapes.

Authors:  Jason D Buenrostro; Carlos L Araya; Lauren M Chircus; Curtis J Layton; Howard Y Chang; Michael P Snyder; William J Greenleaf
Journal:  Nat Biotechnol       Date:  2014-04-13       Impact factor: 54.908

5.  irCLIP platform for efficient characterization of protein-RNA interactions.

Authors:  Brian J Zarnegar; Ryan A Flynn; Ying Shen; Brian T Do; Howard Y Chang; Paul A Khavari
Journal:  Nat Methods       Date:  2016-04-25       Impact factor: 28.547

6.  CLIP identifies Nova-regulated RNA networks in the brain.

Authors:  Jernej Ule; Kirk B Jensen; Matteo Ruggiu; Aldo Mele; Aljaz Ule; Robert B Darnell
Journal:  Science       Date:  2003-11-14       Impact factor: 47.728

Review 7.  Advances in CLIP Technologies for Studies of Protein-RNA Interactions.

Authors:  Flora C Y Lee; Jernej Ule
Journal:  Mol Cell       Date:  2018-02-01       Impact factor: 17.970

Review 8.  Optimization of PAR-CLIP for transcriptome-wide identification of binding sites of RNA-binding proteins.

Authors:  Aitor Garzia; Cindy Meyer; Pavel Morozov; Marcin Sajek; Thomas Tuschl
Journal:  Methods       Date:  2016-10-17       Impact factor: 3.608

9.  CLIPSeqTools--a novel bioinformatics CLIP-seq analysis suite.

Authors:  Manolis Maragkakis; Panagiotis Alexiou; Tadashi Nakaya; Zissimos Mourelatos
Journal:  RNA       Date:  2015-11-17       Impact factor: 4.942

Review 10.  Computational Methods for CLIP-seq Data Processing.

Authors:  Paula H Reyes-Herrera; Elisa Ficarra
Journal:  Bioinform Biol Insights       Date:  2014-10-01
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  2 in total

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Journal:  Methods       Date:  2020-10-16       Impact factor: 3.608

Review 2.  Multiple functions of heterogeneous nuclear ribonucleoproteins in the positive single-stranded RNA virus life cycle.

Authors:  Jingming Wang; Di Sun; Mingshu Wang; Anchun Cheng; Yukun Zhu; Sai Mao; Xuming Ou; Xinxin Zhao; Juan Huang; Qun Gao; Shaqiu Zhang; Qiao Yang; Ying Wu; Dekang Zhu; Renyong Jia; Shun Chen; Mafeng Liu
Journal:  Front Immunol       Date:  2022-09-02       Impact factor: 8.786

  2 in total

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