Literature DB >> 28325876

Comprehensive and quantitative mapping of RNA-protein interactions across a transcribed eukaryotic genome.

Richard She1, Anupam K Chakravarty1, Curtis J Layton2, Lauren M Chircus1,2, Johan O L Andreasson2,3, Nandita Damaraju2, Peter L McMahon2,4, Jason D Buenrostro2, Daniel F Jarosz5,6, William J Greenleaf7,4.   

Abstract

RNA-binding proteins (RBPs) control the fate of nearly every transcript in a cell. However, no existing approach for studying these posttranscriptional gene regulators combines transcriptome-wide throughput and biophysical precision. Here, we describe an assay that accomplishes this. Using commonly available hardware, we built a customizable, open-source platform that leverages the inherent throughput of Illumina technology for direct biophysical measurements. We used the platform to quantitatively measure the binding affinity of the prototypical RBP Vts1 for every transcript in the Saccharomyces cerevisiae genome. The scale and precision of these measurements revealed many previously unknown features of this well-studied RBP. Our transcribed genome array (TGA) assayed both rare and abundant transcripts with equivalent proficiency, revealing hundreds of low-abundance targets missed by previous approaches. These targets regulated diverse biological processes including nutrient sensing and the DNA damage response, and implicated Vts1 in de novo gene "birth." TGA provided single-nucleotide resolution for each binding site and delineated a highly specific sequence and structure motif for Vts1 binding. Changes in transcript levels in vts1Δ cells established the regulatory function of these binding sites. The impact of Vts1 on transcript abundance was largely independent of where it bound within an mRNA, challenging prevailing assumptions about how this RBP drives RNA degradation. TGA thus enables a quantitative description of the relationship between variant RNA structures, affinity, and in vivo phenotype on a transcriptome-wide scale. We anticipate that TGA will provide similarly comprehensive and quantitative insights into the function of virtually any RBP.

Entities:  

Keywords:  RNA; RNA binding proteins; Vts1; next-generation sequencing; systems biochemistry

Mesh:

Substances:

Year:  2017        PMID: 28325876      PMCID: PMC5389288          DOI: 10.1073/pnas.1618370114

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  48 in total

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Authors:  Stefanie Gerstberger; Markus Hafner; Thomas Tuschl
Journal:  Nat Rev Genet       Date:  2014-11-04       Impact factor: 53.242

2.  Fast gapped-read alignment with Bowtie 2.

Authors:  Ben Langmead; Steven L Salzberg
Journal:  Nat Methods       Date:  2012-03-04       Impact factor: 28.547

3.  Systematic genetic analysis with ordered arrays of yeast deletion mutants.

Authors:  A H Tong; M Evangelista; A B Parsons; H Xu; G D Bader; N Pagé; M Robinson; S Raghibizadeh; C W Hogue; H Bussey; B Andrews; M Tyers; C Boone
Journal:  Science       Date:  2001-12-14       Impact factor: 47.728

Review 4.  Translational regulation in development.

Authors:  D Curtis; R Lehmann; P D Zamore
Journal:  Cell       Date:  1995-04-21       Impact factor: 41.582

5.  Insights into RNA biology from an atlas of mammalian mRNA-binding proteins.

Authors:  Alfredo Castello; Bernd Fischer; Katrin Eichelbaum; Rastislav Horos; Benedikt M Beckmann; Claudia Strein; Norman E Davey; David T Humphreys; Thomas Preiss; Lars M Steinmetz; Jeroen Krijgsveld; Matthias W Hentze
Journal:  Cell       Date:  2012-05-31       Impact factor: 41.582

6.  Proteome-wide search reveals unexpected RNA-binding proteins in Saccharomyces cerevisiae.

Authors:  Nikoleta G Tsvetanova; Daniel M Klass; Julia Salzman; Patrick O Brown
Journal:  PLoS One       Date:  2010-09-10       Impact factor: 3.240

7.  RNA Bind-n-Seq: quantitative assessment of the sequence and structural binding specificity of RNA binding proteins.

Authors:  Nicole Lambert; Alex Robertson; Mohini Jangi; Sean McGeary; Phillip A Sharp; Christopher B Burge
Journal:  Mol Cell       Date:  2014-05-15       Impact factor: 17.970

8.  Advancing the functional utility of PAR-CLIP by quantifying background binding to mRNAs and lncRNAs.

Authors:  Matthew B Friedersdorf; Jack D Keene
Journal:  Genome Biol       Date:  2014-01-07       Impact factor: 13.583

9.  Dissecting noncoding and pathogen RNA-protein interactomes.

Authors:  Ryan A Flynn; Lance Martin; Robert C Spitale; Brian T Do; Selena M Sagan; Brian Zarnegar; Kun Qu; Paul A Khavari; Stephen R Quake; Peter Sarnow; Howard Y Chang
Journal:  RNA       Date:  2014-11-19       Impact factor: 4.942

10.  iCLIP reveals the function of hnRNP particles in splicing at individual nucleotide resolution.

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Journal:  Nat Struct Mol Biol       Date:  2010-07-04       Impact factor: 15.369

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  21 in total

1.  High-Throughput Analysis Reveals Rules for Target RNA Binding and Cleavage by AGO2.

Authors:  Winston R Becker; Benjamin Ober-Reynolds; Karina Jouravleva; Samson M Jolly; Phillip D Zamore; William J Greenleaf
Journal:  Mol Cell       Date:  2019-07-16       Impact factor: 17.970

2.  Blind tests of RNA-protein binding affinity prediction.

Authors:  Kalli Kappel; Inga Jarmoskaite; Pavanapuresan P Vaidyanathan; William J Greenleaf; Daniel Herschlag; Rhiju Das
Journal:  Proc Natl Acad Sci U S A       Date:  2019-04-08       Impact factor: 11.205

3.  A Quantitative and Predictive Model for RNA Binding by Human Pumilio Proteins.

Authors:  Inga Jarmoskaite; Sarah K Denny; Pavanapuresan P Vaidyanathan; Winston R Becker; Johan O L Andreasson; Curtis J Layton; Kalli Kappel; Varun Shivashankar; Raashi Sreenivasan; Rhiju Das; William J Greenleaf; Daniel Herschlag
Journal:  Mol Cell       Date:  2019-05-08       Impact factor: 17.970

4.  High-Throughput Investigation of Diverse Junction Elements in RNA Tertiary Folding.

Authors:  Sarah Knight Denny; Namita Bisaria; Joseph David Yesselman; Rhiju Das; Daniel Herschlag; William James Greenleaf
Journal:  Cell       Date:  2018-06-28       Impact factor: 41.582

5.  High-density functional-RNA arrays as a versatile platform for studying RNA-based interactions.

Authors:  Jack O Phillips; Louise E Butt; Charlotte A Henderson; Martin Devonshire; Jess Healy; Stuart J Conway; Nicolas Locker; Andrew R Pickford; Helen A Vincent; Anastasia J Callaghan
Journal:  Nucleic Acids Res       Date:  2018-08-21       Impact factor: 16.971

6.  Large-Scale, Quantitative Protein Assays on a High-Throughput DNA Sequencing Chip.

Authors:  Curtis J Layton; Peter L McMahon; William J Greenleaf
Journal:  Mol Cell       Date:  2019-03-07       Impact factor: 17.970

7.  REX technologies for profiling and decoding the electrophile signaling axes mediated by Rosetta Stone proteins.

Authors:  Marcus J C Long; Daniel A Urul; Yimon Aye
Journal:  Methods Enzymol       Date:  2019-03-14       Impact factor: 1.600

8.  Organizing biochemistry in space and time using prion-like self-assembly.

Authors:  Christopher M Jakobson; Daniel F Jarosz
Journal:  Curr Opin Syst Biol       Date:  2017-12-06

Review 9.  High throughput approaches to study RNA-protein interactions in vitro.

Authors:  Xuan Ye; Eckhard Jankowsky
Journal:  Methods       Date:  2019-09-05       Impact factor: 3.608

10.  High-throughput dissection of the thermodynamic and conformational properties of a ubiquitous class of RNA tertiary contact motifs.

Authors:  Steve L Bonilla; Sarah K Denny; John H Shin; Aurora Alvarez-Buylla; William J Greenleaf; Daniel Herschlag
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-17       Impact factor: 11.205

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