Literature DB >> 32376630

Massively parallel CRISPRi assays reveal concealed thermodynamic determinants of dCas12a binding.

David A Specht1, Yasu Xu2, Guillaume Lambert3.   

Abstract

The versatility of CRISPR-Cas endonucleases as a tool for biomedical research has led to diverse applications in gene editing, programmable transcriptional control, and nucleic acid detection. Most CRISPR-Cas systems, however, suffer from off-target effects and unpredictable nonspecific binding that negatively impact their reliability and broader applicability. To better evaluate the impact of mismatches on DNA target recognition and binding, we develop a massively parallel CRISPR interference (CRISPRi) assay to measure the binding energy between tens of thousands of CRISPR RNA (crRNA) and target DNA sequences. By developing a general thermodynamic model of CRISPR-Cas binding dynamics, our results unravel a comprehensive map of the energetic landscape of nuclease-dead Cas12a (dCas12a) from Francisella novicida as it inspects and binds to its DNA target. Our results reveal concealed thermodynamic factors affecting dCas12a DNA binding, which should guide the design and optimization of crRNA that limits off-target effects, including the crucial role of an extended protospacer adjacent motif (PAM) sequence and the impact of the specific base composition of crRNA-DNA mismatches. Our generalizable approach should also provide a mechanistic understanding of target recognition and DNA binding when applied to other CRISPR-Cas systems.

Entities:  

Keywords:  CRISPR; Escherichia coli; molecular biophysics; statistical mechanics; transcriptional regulation

Year:  2020        PMID: 32376630      PMCID: PMC7260945          DOI: 10.1073/pnas.1918685117

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


  60 in total

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Authors:  Seong Keun Kim; Haseong Kim; Woo-Chan Ahn; Kwang-Hyun Park; Eui-Jeon Woo; Dae-Hee Lee; Seung-Goo Lee
Journal:  ACS Synth Biol       Date:  2017-04-11       Impact factor: 5.110

2.  Genome-wide analysis reveals specificities of Cpf1 endonucleases in human cells.

Authors:  Daesik Kim; Jungeun Kim; Junho K Hur; Kyung Wook Been; Sun-Heui Yoon; Jin-Soo Kim
Journal:  Nat Biotechnol       Date:  2016-06-06       Impact factor: 54.908

3.  Hybridization Kinetics Explains CRISPR-Cas Off-Targeting Rules.

Authors:  Misha Klein; Behrouz Eslami-Mossallam; Dylan Gonzalez Arroyo; Martin Depken
Journal:  Cell Rep       Date:  2018-02-06       Impact factor: 9.423

4.  In vivo high-throughput profiling of CRISPR-Cpf1 activity.

Authors:  Hui K Kim; Myungjae Song; Jinu Lee; A Vipin Menon; Soobin Jung; Young-Mook Kang; Jae W Choi; Euijeon Woo; Hyun C Koh; Jin-Wu Nam; Hyongbum Kim
Journal:  Nat Methods       Date:  2016-12-19       Impact factor: 28.547

5.  A comprehensive library of fluorescent transcriptional reporters for Escherichia coli.

Authors:  Alon Zaslaver; Anat Bren; Michal Ronen; Shalev Itzkovitz; Ilya Kikoin; Seagull Shavit; Wolfram Liebermeister; Michael G Surette; Uri Alon
Journal:  Nat Methods       Date:  2006-08       Impact factor: 28.547

6.  Kinetics of dCas9 target search in Escherichia coli.

Authors:  Daniel Lawson Jones; Prune Leroy; Cecilia Unoson; David Fange; Vladimir Ćurić; Michael J Lawson; Johan Elf
Journal:  Science       Date:  2017-09-28       Impact factor: 47.728

7.  Positive and negative selection using the tetA-sacB cassette: recombineering and P1 transduction in Escherichia coli.

Authors:  Xin-Tian Li; Lynn C Thomason; James A Sawitzke; Nina Costantino; Donald L Court
Journal:  Nucleic Acids Res       Date:  2013-11-06       Impact factor: 16.971

8.  voom: Precision weights unlock linear model analysis tools for RNA-seq read counts.

Authors:  Charity W Law; Yunshun Chen; Wei Shi; Gordon K Smyth
Journal:  Genome Biol       Date:  2014-02-03       Impact factor: 13.583

9.  Enhanced proofreading governs CRISPR-Cas9 targeting accuracy.

Authors:  Janice S Chen; Yavuz S Dagdas; Benjamin P Kleinstiver; Moira M Welch; Alexander A Sousa; Lucas B Harrington; Samuel H Sternberg; J Keith Joung; Ahmet Yildiz; Jennifer A Doudna
Journal:  Nature       Date:  2017-09-20       Impact factor: 49.962

10.  WU-CRISPR: characteristics of functional guide RNAs for the CRISPR/Cas9 system.

Authors:  Nathan Wong; Weijun Liu; Xiaowei Wang
Journal:  Genome Biol       Date:  2015-11-02       Impact factor: 13.583

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  5 in total

1.  Toward a translationally independent RNA-based synthetic oscillator using deactivated CRISPR-Cas.

Authors:  James Kuo; Ruoshi Yuan; Carlos Sánchez; Johan Paulsson; Pamela A Silver
Journal:  Nucleic Acids Res       Date:  2020-08-20       Impact factor: 16.971

2.  Programmable Gene Knockdown in Diverse Bacteria Using Mobile-CRISPRi.

Authors:  Amy B Banta; Ryan D Ward; Jennifer S Tran; Emily E Bacon; Jason M Peters
Journal:  Curr Protoc Microbiol       Date:  2020-12

3.  A plasmid system with tunable copy number.

Authors:  Miles V Rouches; Yasu Xu; Louis Brian Georges Cortes; Guillaume Lambert
Journal:  Nat Commun       Date:  2022-07-07       Impact factor: 17.694

4.  Overcoming Leak Sensitivity in CRISPRi Circuits Using Antisense RNA Sequestration and Regulatory Feedback.

Authors:  David A Specht; Louis B Cortes; Guillaume Lambert
Journal:  ACS Synth Biol       Date:  2022-08-26       Impact factor: 5.249

5.  Epigenome engineering: new technologies for precision medicine.

Authors:  Agustin Sgro; Pilar Blancafort
Journal:  Nucleic Acids Res       Date:  2020-12-16       Impact factor: 16.971

  5 in total

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