Literature DB >> 31010827

Boosting activity of high-fidelity CRISPR/Cas9 variants using a tRNAGln-processing system in human cells.

Xiubin He1,2,3, Yufei Wang1,2,3, Fayu Yang1,2,3, Bang Wang1,2,3, Haihua Xie1,2,3, Lingkai Gu1,2,3, Tianyuan Zhao1,2,3, Xiexie Liu1,2,3, Dingbo Zhang4,5, Qianwen Ren1,2,3, Xiaoyu Liu1,2,3, Yong Liu1,2,3, Caixia Gao4, Feng Gu6,2,3.   

Abstract

CRISPR/Cas9 nucleases are widely used for genome editing but can induce unwanted off-target mutations. High-fidelity Cas9 variants have been identified; however, they often have reduced activity, constraining their utility, which presents a major challenge for their use in research applications and therapeutics. Here we developed a tRNAGln-processing system to restore the activity of multiple high-fidelity Cas9 variants in human cells, including SpCas9-HF1, eSpCas9, and xCas9. Specifically, acting on previous observations that small guide RNAs (sgRNAs) harboring an extra A or G (A/G) in the first 5' nucleotide greatly affect the activity of high-fidelity Cas9 variants and that tRNA-sgRNA fusions improve Cas9 activity, we investigated whether a GN20 sgRNA fused to different tRNAs (G-tRNA-N20) could restore the activity of SpCas9 variants in human cells. Using flow cytometry, a T7E1 assay, deep sequencing-based DNA cleavage activity assays, and HEK-293 cells, we observed that a tRNAGln-sgRNA fusion system enhanced the activity of Cas9 variants, which could be harnessed for efficient correction of a pathogenic mutation in the retinoschisin 1 (RS1) gene, resulting in 6- to 8-fold improved Cas9 activity. We propose that the tRNA-processing system developed here specifically for human cells could facilitate high-fidelity Cas9-mediated human genome-editing applications.
© 2019 He et al.

Entities:  

Keywords:  CRISPR/Cas; CRISPR/Cas9; gene therapy; genetic disease; high-fidelity enzyme; homologous recombination; off-target effects; tRNA; tRNA processing

Mesh:

Substances:

Year:  2019        PMID: 31010827      PMCID: PMC6556588          DOI: 10.1074/jbc.RA119.007791

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  24 in total

1.  Functional non-homologous end joining patterns triggered by CRISPR/Cas9 in human cells.

Authors:  Fayu Yang; Xianglian Ge; Xiubin He; Xiexie Liu; Chenchen Zhou; Huihui Sun; Junsong Zhang; Junzhao Zhao; Zongming Song; Jia Qu; Changbao Liu; Feng Gu
Journal:  J Genet Genomics       Date:  2018-05-08       Impact factor: 4.275

2.  Genome-wide analysis reveals characteristics of off-target sites bound by the Cas9 endonuclease.

Authors:  Cem Kuscu; Sevki Arslan; Ritambhara Singh; Jeremy Thorpe; Mazhar Adli
Journal:  Nat Biotechnol       Date:  2014-05-18       Impact factor: 54.908

3.  Small molecule-triggered Cas9 protein with improved genome-editing specificity.

Authors:  Kevin M Davis; Vikram Pattanayak; David B Thompson; John A Zuris; David R Liu
Journal:  Nat Chem Biol       Date:  2015-04-06       Impact factor: 15.040

4.  GUIDE-seq enables genome-wide profiling of off-target cleavage by CRISPR-Cas nucleases.

Authors:  Shengdar Q Tsai; Zongli Zheng; Nhu T Nguyen; Matthew Liebers; Ved V Topkar; Vishal Thapar; Nicolas Wyvekens; Cyd Khayter; A John Iafrate; Long P Le; Martin J Aryee; J Keith Joung
Journal:  Nat Biotechnol       Date:  2014-12-16       Impact factor: 54.908

5.  Engineering CRISPR/Cpf1 with tRNA promotes genome editing capability in mammalian systems.

Authors:  Han Wu; Qishuai Liu; Hui Shi; Jingke Xie; Quanjun Zhang; Zhen Ouyang; Nan Li; Yi Yang; Zhaoming Liu; Yu Zhao; Chengdan Lai; Degong Ruan; Jiangyun Peng; Weikai Ge; Fangbing Chen; Nana Fan; Qin Jin; Yanhui Liang; Ting Lan; Xiaoyu Yang; Xiaoshan Wang; Zhiyong Lei; Pieter A Doevendans; Joost P G Sluijter; Kepin Wang; Xiaoping Li; Liangxue Lai
Journal:  Cell Mol Life Sci       Date:  2018-04-10       Impact factor: 9.261

6.  Engineering the Direct Repeat Sequence of crRNA for Optimization of FnCpf1-Mediated Genome Editing in Human Cells.

Authors:  Li Lin; Xiubin He; Tianyuan Zhao; Lingkai Gu; Yeqing Liu; Xiaoyu Liu; Hongyan Liu; Fayu Yang; Mengjun Tu; Lianchao Tang; Xianglian Ge; Changbao Liu; Junzhao Zhao; Zongming Song; Jia Qu; Feng Gu
Journal:  Mol Ther       Date:  2018-09-01       Impact factor: 11.454

7.  High-fidelity CRISPR-Cas9 nucleases with no detectable genome-wide off-target effects.

Authors:  Benjamin P Kleinstiver; Vikram Pattanayak; Michelle S Prew; Shengdar Q Tsai; Nhu T Nguyen; Zongli Zheng; J Keith Joung
Journal:  Nature       Date:  2016-01-06       Impact factor: 49.962

8.  Perfectly matched 20-nucleotide guide RNA sequences enable robust genome editing using high-fidelity SpCas9 nucleases.

Authors:  Dingbo Zhang; Huawei Zhang; Tingdong Li; Kunling Chen; Jin-Long Qiu; Caixia Gao
Journal:  Genome Biol       Date:  2017-10-11       Impact factor: 13.583

9.  Evolved Cas9 variants with broad PAM compatibility and high DNA specificity.

Authors:  Johnny H Hu; Shannon M Miller; Maarten H Geurts; Weixin Tang; Liwei Chen; Ning Sun; Christina M Zeina; Xue Gao; Holly A Rees; Zhi Lin; David R Liu
Journal:  Nature       Date:  2018-02-28       Impact factor: 49.962

10.  Directed evolution of CRISPR-Cas9 to increase its specificity.

Authors:  Jungjoon K Lee; Euihwan Jeong; Joonsun Lee; Minhee Jung; Eunji Shin; Young-Hoon Kim; Kangin Lee; Inyoung Jung; Daesik Kim; Seokjoong Kim; Jin-Soo Kim
Journal:  Nat Commun       Date:  2018-08-06       Impact factor: 14.919

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  3 in total

1.  Two high-fidelity variants: efSaCas9 and SaCas9-HF, which one is better?

Authors:  Jineng Lv; Haitao Xi; Xiujuan Lv; Yue Zhou; Jiahua Wang; Haoran Chen; Tong Yan; Jiang Jin; Junzhao Zhao; Feng Gu; Zongming Song
Journal:  Gene Ther       Date:  2022-01-31       Impact factor: 4.184

2.  Quantification of the affinities of CRISPR-Cas9 nucleases for cognate protospacer adjacent motif (PAM) sequences.

Authors:  Vladimir Mekler; Konstantin Kuznedelov; Konstantin Severinov
Journal:  J Biol Chem       Date:  2020-04-01       Impact factor: 5.157

3.  Can SpRY recognize any PAM in human cells?

Authors:  Jinbin Ye; Haitao Xi; Yilu Chen; Qishu Chen; Xiaosheng Lu; Jineng Lv; Yamin Chen; Feng Gu; Junzhao Zhao
Journal:  J Zhejiang Univ Sci B       Date:  2022-05-15       Impact factor: 3.066

  3 in total

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