Literature DB >> 29600989

Response to "Unexpected mutations after CRISPR-Cas9 editing in vivo".

Christopher J Wilson1, Tim Fennell2, Anne Bothmer1, Morgan L Maeder1, Deepak Reyon1, Cecilia Cotta-Ramusino1, Cecilia A Fernandez1, Eugenio Marco1, Luis A Barrera1,3, Hariharan Jayaram1, Charles F Albright1, Gerald F Cox1, George M Church4, Vic E Myer1.   

Abstract

Mesh：

Year:  2018        PMID： 29600989     DOI： 10.1038/nmeth.4552

Source DB:  PubMed          Journal:  Nat Methods        ISSN： 1548-7091            Impact factor:   28.547


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  5 in total

1.  Unexpected mutations after CRISPR-Cas9 editing in vivo.

Authors:  Kellie A Schaefer; Wen-Hsuan Wu; Diana F Colgan; Stephen H Tsang; Alexander G Bassuk; Vinit B Mahajan
Journal:  Nat Methods       Date:  2017-05-30       Impact factor: 28.547

2.  Whole-genome sequencing analysis reveals high specificity of CRISPR/Cas9 and TALEN-based genome editing in human iPSCs.

Authors:  Cory Smith; Athurva Gore; Wei Yan; Leire Abalde-Atristain; Zhe Li; Chaoxia He; Ying Wang; Robert A Brodsky; Kun Zhang; Linzhao Cheng; Zhaohui Ye
Journal:  Cell Stem Cell       Date:  2014-07-03       Impact factor: 24.633

3.  Low incidence of off-target mutations in individual CRISPR-Cas9 and TALEN targeted human stem cell clones detected by whole-genome sequencing.

Authors:  Adrian Veres; Bridget S Gosis; Qiurong Ding; Ryan Collins; Ashok Ragavendran; Harrison Brand; Serkan Erdin; Chad A Cowan; Michael E Talkowski; Kiran Musunuru
Journal:  Cell Stem Cell       Date:  2014-07-03       Impact factor: 24.633

4.  Off-target mutations are rare in Cas9-modified mice.

Authors:  Vivek Iyer; Bin Shen; Wensheng Zhang; Alex Hodgkins; Thomas Keane; Xingxu Huang; William C Skarnes
Journal:  Nat Methods       Date:  2015-06       Impact factor: 28.547

5.  Genetic and epigenetic variation among inbred mouse littermates: identification of inter-individual differentially methylated regions.

Authors:  Harald Oey; Luke Isbel; Peter Hickey; Basant Ebaid; Emma Whitelaw
Journal:  Epigenetics Chromatin       Date:  2015-12-12       Impact factor: 4.954
  5 in total
  12 in total

1.  Inconclusive studies on possible CRISPR-Cas off-targets should moderate expectations about enzymes that have evolved to be non-specific.

Authors:  Sandeep Chakraborty
Journal:  J Biosci       Date:  2018-06       Impact factor: 1.826

Review 2.  Technologies and Computational Analysis Strategies for CRISPR Applications.

Authors:  Kendell Clement; Jonathan Y Hsu; Matthew C Canver; J Keith Joung; Luca Pinello
Journal:  Mol Cell       Date:  2020-07-02       Impact factor: 17.970

3.  Optimizing CRISPR/Cas9 technology for precise correction of the Fgfr3-G374R mutation in achondroplasia in mice.

Authors:  Kai Miao; Xin Zhang; Sek Man Su; Jianming Zeng; Zebin Huang; Un In Chan; Xiaoling Xu; Chu-Xia Deng
Journal:  J Biol Chem       Date:  2018-11-28       Impact factor: 5.157

4.  Unexpected mutations were expected and unrelated to CRISPR-Cas9 activity.

Authors:  Lluis Montoliu; C Bruce A Whitelaw
Journal:  Transgenic Res       Date:  2018-05-31       Impact factor: 2.788

5.  Illuminating the genome-wide activity of genome editors for safe and effective therapeutics.

Authors:  Yong Cheng; Shengdar Q Tsai
Journal:  Genome Biol       Date:  2018-12-22       Impact factor: 13.583

Review 6.  Generating mouse models for biomedical research: technological advances.

Authors:  Channabasavaiah B Gurumurthy; Kevin C Kent Lloyd
Journal:  Dis Model Mech       Date:  2019-01-08       Impact factor: 5.758

7.  Off- and on-target effects of genome editing in mouse embryos.

Authors:  Shinya Ayabe; Kenichi Nakashima; Atsushi Yoshiki
Journal:  J Reprod Dev       Date:  2018-12-06       Impact factor: 2.214

8.  Optimized CRISPR guide RNA design for two high-fidelity Cas9 variants by deep learning.

Authors:  Daqi Wang; Chengdong Zhang; Bei Wang; Bin Li; Qiang Wang; Dong Liu; Hongyan Wang; Yan Zhou; Leming Shi; Feng Lan; Yongming Wang
Journal:  Nat Commun       Date:  2019-09-19       Impact factor: 14.919

9.  No excessive mutations in transcription activator-like effector nuclease-mediated α-1,3-galactosyltransferase knockout Yucatan miniature pigs.

Authors:  Kimyung Choi; Joohyun Shim; Nayoung Ko; Joonghoon Park
Journal:  Asian-Australas J Anim Sci       Date:  2019-08-23       Impact factor: 2.509

Review 10.  Variability in Genome Editing Outcomes: Challenges for Research Reproducibility and Clinical Safety.

Authors:  Lydia Teboul; Yann Herault; Sara Wells; Waseem Qasim; Guillaume Pavlovic
Journal:  Mol Ther       Date:  2020-03-20       Impact factor: 11.454
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