Literature DB >> 31324449

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

Winston R Becker1, Benjamin Ober-Reynolds2, Karina Jouravleva3, Samson M Jolly3, Phillip D Zamore4, William J Greenleaf5.   

Abstract

Argonaute proteins loaded with microRNAs (miRNAs) or small interfering RNAs (siRNAs) form the RNA-induced silencing complex (RISC), which represses target RNA expression. Predicting the biological targets, specificity, and efficiency of both miRNAs and siRNAs has been hamstrung by an incomplete understanding of the sequence determinants of RISC binding and cleavage. We applied high-throughput methods to measure the association kinetics, equilibrium binding energies, and single-turnover cleavage rates of mouse AGO2 RISC. We find that RISC readily tolerates insertions of up to 7 nt in its target opposite the central region of the guide. Our data uncover specific guide:target mismatches that enhance the rate of target cleavage, suggesting novel siRNA design strategies. Using these data, we derive quantitative models for RISC binding and target cleavage and show that our in vitro measurements and models predict knockdown in an engineered cellular system.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  RISC; RNA interference; RNA-protein interactions; argonaute; high-throughput biophysics; miRNA; post-transcriptional regulation; siRNA

Mesh:

Substances:

Year:  2019        PMID: 31324449      PMCID: PMC6823844          DOI: 10.1016/j.molcel.2019.06.012

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


  70 in total

1.  Argonaute2 is the catalytic engine of mammalian RNAi.

Authors:  Jidong Liu; Michelle A Carmell; Fabiola V Rivas; Carolyn G Marsden; J Michael Thomson; Ji-Joon Song; Scott M Hammond; Leemor Joshua-Tor; Gregory J Hannon
Journal:  Science       Date:  2004-07-29       Impact factor: 47.728

Review 2.  Perspective: machines for RNAi.

Authors:  Yukihide Tomari; Phillip D Zamore
Journal:  Genes Dev       Date:  2005-03-01       Impact factor: 11.361

3.  Combinatorial microRNA target predictions.

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Journal:  Nat Genet       Date:  2005-04-03       Impact factor: 38.330

4.  Duplexes of 21-nucleotide RNAs mediate RNA interference in cultured mammalian cells.

Authors:  S M Elbashir; J Harborth; W Lendeckel; A Yalcin; K Weber; T Tuschl
Journal:  Nature       Date:  2001-05-24       Impact factor: 49.962

5.  Structural basis for 5'-end-specific recognition of guide RNA by the A. fulgidus Piwi protein.

Authors:  Jin-Biao Ma; Yu-Ren Yuan; Gunter Meister; Yi Pei; Thomas Tuschl; Dinshaw J Patel
Journal:  Nature       Date:  2005-03-31       Impact factor: 49.962

6.  Structural basis for microRNA targeting.

Authors:  Nicole T Schirle; Jessica Sheu-Gruttadauria; Ian J MacRae
Journal:  Science       Date:  2014-10-31       Impact factor: 47.728

7.  Mammalian microRNAs predominantly act to decrease target mRNA levels.

Authors:  Huili Guo; Nicholas T Ingolia; Jonathan S Weissman; David P Bartel
Journal:  Nature       Date:  2010-08-12       Impact factor: 49.962

8.  Transcriptome-wide miR-155 binding map reveals widespread noncanonical microRNA targeting.

Authors:  Gabriel B Loeb; Aly A Khan; David Canner; Joseph B Hiatt; Jay Shendure; Robert B Darnell; Christina S Leslie; Alexander Y Rudensky
Journal:  Mol Cell       Date:  2012-11-08       Impact factor: 17.970

9.  Designing siRNA that distinguish between genes that differ by a single nucleotide.

Authors:  Dianne S Schwarz; Hongliu Ding; Lori Kennington; Jessica T Moore; Janell Schelter; Julja Burchard; Peter S Linsley; Neil Aronin; Zuoshang Xu; Phillip D Zamore
Journal:  PLoS Genet       Date:  2006-07-24       Impact factor: 5.917

Review 10.  Therapeutic miRNA and siRNA: Moving from Bench to Clinic as Next Generation Medicine.

Authors:  Chiranjib Chakraborty; Ashish Ranjan Sharma; Garima Sharma; C George Priya Doss; Sang-Soo Lee
Journal:  Mol Ther Nucleic Acids       Date:  2017-06-12       Impact factor: 8.886

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  31 in total

1.  mRNA structural dynamics shape Argonaute-target interactions.

Authors:  Suzan Ruijtenberg; Stijn Sonneveld; Tao Ju Cui; Ive Logister; Dion de Steenwinkel; Yao Xiao; Ian J MacRae; Chirlmin Joo; Marvin E Tanenbaum
Journal:  Nat Struct Mol Biol       Date:  2020-07-13       Impact factor: 15.369

2.  Dynamics of RNA-protein interactions studied in living cells.

Authors:  Olivia S Rissland
Journal:  Nature       Date:  2021-03       Impact factor: 49.962

3.  Genome-wide DNA sampling by Ago nuclease from the cyanobacterium Synechococcus elongatus.

Authors:  Anna Olina; Anton Kuzmenko; Maria Ninova; Alexei A Aravin; Andrey Kulbachinskiy; Daria Esyunina
Journal:  RNA Biol       Date:  2020-02-16       Impact factor: 4.652

4.  MicroRNA 3'-compensatory pairing occurs through two binding modes, with affinity shaped by nucleotide identity and position.

Authors:  Sean E McGeary; Namita Bisaria; Thy M Pham; Peter Y Wang; David P Bartel
Journal:  Elife       Date:  2022-02-22       Impact factor: 8.140

5.  A tweak and a peek: How Cas9 pries open double-stranded DNA to check its sequence.

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Journal:  Nat Struct Mol Biol       Date:  2022-04       Impact factor: 15.369

6.  High-throughput biochemical profiling reveals functional adaptation of a bacterial Argonaute.

Authors:  Benjamin Ober-Reynolds; Winston R Becker; Karina Jouravleva; Samson M Jolly; Phillip D Zamore; William J Greenleaf
Journal:  Mol Cell       Date:  2022-03-16       Impact factor: 19.328

7.  NMR Chemical Exchange Measurements Reveal That N6-Methyladenosine Slows RNA Annealing.

Authors:  Honglue Shi; Bei Liu; Felix Nussbaumer; Atul Rangadurai; Christoph Kreutz; Hashim M Al-Hashimi
Journal:  J Am Chem Soc       Date:  2019-12-16       Impact factor: 15.419

8.  The biochemical basis of microRNA targeting efficacy.

Authors:  Sean E McGeary; Kathy S Lin; Charlie Y Shi; Thy M Pham; Namita Bisaria; Gina M Kelley; David P Bartel
Journal:  Science       Date:  2019-12-05       Impact factor: 47.728

9.  Genome wide screen of RNAi molecules against SARS-CoV-2 creates a broadly potent prophylaxis.

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Journal:  bioRxiv       Date:  2022-04-12

10.  IRF2-mediated upregulation of lncRNA HHAS1 facilitates the osteogenic differentiation of bone marrow-derived mesenchymal stem cells by acting as a competing endogenous RNA.

Authors:  Guiwen Ye; Peng Wang; Zhongyu Xie; Jinteng Li; Guan Zheng; Wenjie Liu; Qian Cao; Ming Li; Shuizhong Cen; Zhaofeng Li; Wenhui Yu; Yanfeng Wu; Huiyong Shen
Journal:  Clin Transl Med       Date:  2021-06
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