Literature DB >> 31648792

Coevolutionary Couplings Unravel PAM-Proximal Constraints of CRISPR-SpCas9.

Yi Li1, José A De la Paz2, Xianli Jiang2, Richard Liu3, Adarsha P Pokkulandra4, Leonidas Bleris5, Faruck Morcos6.   

Abstract

The clustered regularly interspaced short palindromic repeats (CRISPR) system, an immune system analog found in prokaryotes, allows a single-guide RNA to direct a CRISPR-associated protein (Cas) with combined helicase and nuclease activity to DNA. The presence of a specific protospacer adjacent motif (PAM) next to the DNA target site plays a crucial role in determining both efficacy and specificity of gene editing. Herein, we introduce a coevolutionary framework to computationally unveil nonobvious molecular interactions in CRISPR systems and experimentally probe their functional role. Specifically, we use direct coupling analysis, a statistical inference framework used to infer direct coevolutionary couplings, in the context of protein/nucleic acid interactions. Applied to Streptococcus pyogenes Cas9, a Hamiltonian metric obtained from coevolutionary relationships reveals, to our knowledge, novel PAM-proximal nucleotide preferences at the seventh position of S. pyogenes Cas9 PAM (5'-NGRNNNT-3'), which was experimentally confirmed by in vitro and functional assays in human cells. We show that coevolved and conserved interactions point to specific clues toward rationally engineering new generations of Cas9 systems and may eventually help decipher the diversity of this family of proteins.
Copyright © 2019 Biophysical Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2019        PMID: 31648792      PMCID: PMC6838953          DOI: 10.1016/j.bpj.2019.09.040

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  49 in total

1.  PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments.

Authors:  David T Jones; Daniel W A Buchan; Domenico Cozzetto; Massimiliano Pontil
Journal:  Bioinformatics       Date:  2011-11-17       Impact factor: 6.937

2.  Direct-coupling analysis of residue coevolution captures native contacts across many protein families.

Authors:  Faruck Morcos; Andrea Pagnani; Bryan Lunt; Arianna Bertolino; Debora S Marks; Chris Sander; Riccardo Zecchina; José N Onuchic; Terence Hwa; Martin Weigt
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-21       Impact factor: 11.205

3.  Mutation effects predicted from sequence co-variation.

Authors:  Thomas A Hopf; John B Ingraham; Frank J Poelwijk; Charlotta P I Schärfe; Michael Springer; Chris Sander; Debora S Marks
Journal:  Nat Biotechnol       Date:  2017-01-16       Impact factor: 54.908

4.  Enhancing protein fold determination by exploring the complementary information of chemical cross-linking and coevolutionary signals.

Authors:  Ricardo N Dos Santos; Allan J R Ferrari; Hugo C R de Jesus; Fábio C Gozzo; Faruck Morcos; Leandro Martínez
Journal:  Bioinformatics       Date:  2018-07-01       Impact factor: 6.937

5.  Learning protein constitutive motifs from sequence data.

Authors:  Jérôme Tubiana; Simona Cocco; Rémi Monasson
Journal:  Elife       Date:  2019-03-12       Impact factor: 8.140

6.  Current concepts in the diagnosis and management of cytokine release syndrome.

Authors:  Daniel W Lee; Rebecca Gardner; David L Porter; Chrystal U Louis; Nabil Ahmed; Michael Jensen; Stephan A Grupp; Crystal L Mackall
Journal:  Blood       Date:  2014-05-29       Impact factor: 22.113

7.  Integrated strategy reveals the protein interface between cancer targets Bcl-2 and NAF-1.

Authors:  Sagi Tamir; Shahar Rotem-Bamberger; Chen Katz; Faruck Morcos; Kendra L Hailey; John A Zuris; Charles Wang; Andrea R Conlan; Colin H Lipper; Mark L Paddock; Ron Mittler; José N Onuchic; Patricia A Jennings; Assaf Friedler; Rachel Nechushtai
Journal:  Proc Natl Acad Sci U S A       Date:  2014-03-25       Impact factor: 11.205

8.  X-ray refinement significantly underestimates the level of microscopic heterogeneity in biomolecular crystals.

Authors:  Antonija Kuzmanic; Navraj S Pannu; Bojan Zagrovic
Journal:  Nat Commun       Date:  2014       Impact factor: 14.919

9.  Real-time observation of flexible domain movements in CRISPR-Cas9.

Authors:  Saki Osuka; Kazushi Isomura; Shohei Kajimoto; Tomotaka Komori; Hiroshi Nishimasu; Tomohiro Shima; Osamu Nureki; Sotaro Uemura
Journal:  EMBO J       Date:  2018-04-12       Impact factor: 11.598

10.  Efficacy of In Vivo Electroporation on the Delivery of Molecular Agents into Aphid (Hemiptera: Aphididae) Ovarioles.

Authors:  Brendan V Jamison; Margaret W Thairu; Allison K Hansen
Journal:  J Insect Sci       Date:  2018-03-01       Impact factor: 1.857

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