Literature DB >> 30528433

The Human RNA-Binding Proteome and Its Dynamics during Translational Arrest.

Jakob Trendel1, Thomas Schwarzl2, Rastislav Horos2, Ananth Prakash3, Alex Bateman3, Matthias W Hentze2, Jeroen Krijgsveld4.   

Abstract

Proteins and RNA functionally and physically intersect in multiple biological processes, however, currently no universal method is available to purify protein-RNA complexes. Here, we introduce XRNAX, a method for the generic purification of protein-crosslinked RNA, and demonstrate its versatility to study the composition and dynamics of protein-RNA interactions by various transcriptomic and proteomic approaches. We show that XRNAX captures all RNA biotypes and use this to characterize the sub-proteomes that interact with coding and non-coding RNAs (ncRNAs) and to identify hundreds of protein-RNA interfaces. Exploiting the quantitative nature of XRNAX, we observe drastic remodeling of the RNA-bound proteome during arsenite-induced stress, distinct from autophagy-related changes in the total proteome. In addition, we combine XRNAX with crosslinking immunoprecipitation sequencing (CLIP-seq) to validate the interaction of ncRNA with lamin B1 and EXOSC2. Thus, XRNAX is a resourceful approach to study structural and compositional aspects of protein-RNA interactions to address fundamental questions in RNA-biology.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  RNA-binding domain; Trizol; UV-crosslinking; autophagy; mRNA; mass spectrometry; ncRNA; protein-RNA interactions; proteomics; ribophagy

Mesh:

Substances:

Year:  2018        PMID: 30528433     DOI: 10.1016/j.cell.2018.11.004

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  89 in total

1.  Defining the RNA interactome by total RNA-associated protein purification.

Authors:  Vadim Shchepachev; Stefan Bresson; Christos Spanos; Elisabeth Petfalski; Lutz Fischer; Juri Rappsilber; David Tollervey
Journal:  Mol Syst Biol       Date:  2019-04-08       Impact factor: 11.429

Review 2.  Approaches for measuring the dynamics of RNA-protein interactions.

Authors:  Donny D Licatalosi; Xuan Ye; Eckhard Jankowsky
Journal:  Wiley Interdiscip Rev RNA       Date:  2019-08-20       Impact factor: 9.957

3.  TriPepSVM: de novo prediction of RNA-binding proteins based on short amino acid motifs.

Authors:  Annkatrin Bressin; Roman Schulte-Sasse; Davide Figini; Erika C Urdaneta; Benedikt M Beckmann; Annalisa Marsico
Journal:  Nucleic Acids Res       Date:  2019-05-21       Impact factor: 16.971

Review 4.  lncRedibly versatile: biochemical and biological functions of long noncoding RNAs.

Authors:  Emily J Shields; Ana F Petracovici; Roberto Bonasio
Journal:  Biochem J       Date:  2019-04-10       Impact factor: 3.857

5.  A systematic, label-free method for identifying RNA-associated proteins in vivo provides insights into vertebrate ciliary beating machinery.

Authors:  Kevin Drew; Chanjae Lee; Rachael M Cox; Vy Dang; Caitlin C Devitt; Claire D McWhite; Ophelia Papoulas; Ryan L Huizar; Edward M Marcotte; John B Wallingford
Journal:  Dev Biol       Date:  2020-09-06       Impact factor: 3.582

Review 6.  Multimodal Long Noncoding RNA Interaction Networks: Control Panels for Cell Fate Specification.

Authors:  Keriayn N Smith; Sarah C Miller; Gabriele Varani; J Mauro Calabrese; Terry Magnuson
Journal:  Genetics       Date:  2019-12       Impact factor: 4.562

7.  RNA-protein coevolution study of Gemin5 uncovers the role of the PXSS motif of RBS1 domain for RNA binding.

Authors:  Rosario Francisco-Velilla; Azman Embarc-Buh; Sergio Rangel-Guerrero; Sudipto Basu; Sudip Kundu; Encarnacion Martinez-Salas
Journal:  RNA Biol       Date:  2020-05-31       Impact factor: 4.652

Review 8.  RNA-binding proteins in human genetic disease.

Authors:  Fátima Gebauer; Thomas Schwarzl; Juan Valcárcel; Matthias W Hentze
Journal:  Nat Rev Genet       Date:  2020-11-24       Impact factor: 53.242

9.  R-DeeP: Proteome-wide and Quantitative Identification of RNA-Dependent Proteins by Density Gradient Ultracentrifugation.

Authors:  Maiwen Caudron-Herger; Scott F Rusin; Mark E Adamo; Jeanette Seiler; Vera K Schmid; Elsa Barreau; Arminja N Kettenbach; Sven Diederichs
Journal:  Mol Cell       Date:  2019-05-07       Impact factor: 17.970

10.  Identification, quantification and bioinformatic analysis of RNA-dependent proteins by RNase treatment and density gradient ultracentrifugation using R-DeeP.

Authors:  Maiwen Caudron-Herger; Elsa Wassmer; Isha Nasa; Astrid-Solveig Schultz; Jeanette Seiler; Arminja N Kettenbach; Sven Diederichs
Journal:  Nat Protoc       Date:  2020-02-24       Impact factor: 13.491

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