Literature DB >> 35704130

Generation of C-to-G transversion in mouse embryos via CG editors.

Tianqi Cao1,2,3, Simiao Liu1,2, Yanling Qiu1,2, Min Gao1,2, Jinni Wu1,2, Guifang Wu1, Puping Liang1, Junjiu Huang4,5,6.   

Abstract

Base editors (BEs) are efficient and precise tools for generating single base conversions in living organisms. While most BE systems are limited in mediating C-to-T or A-to-G conversions, recently developed C-to-G base editors (CGBEs) could produce C-to-G transversions. CGBEs convert cytosine within the editing window to abasic intermediates, which would be replaced with any base after base excision repair (BER). By far, though the efficiency and editing scope of CGBEs have been investigated in cultured cells via gRNA library and machine-learning, the viability of CGBEs in generating mouse models has not been adequately tested. In this study, we tested the C-to-G transversion efficiency of the CGBE1 and CGBE-XRCC1 systems in mouse embryos. Our results showed that both of the CGBE systems were able to mediate C-to-G transversion on 2 out of 3 targets tested, with up to 20% frequency within the editing window. Notably, most of the groups showed over 40% of other base conversions, predominantly C-to-T. Lastly, we successfully acquired the F1 mouse carrying a disease-causing mutation. In all, our study suggested that CGBEs systems held great potential in generating mouse models and indicated that XRCC1 based system is applicable in mouse embryos.
© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Entities:  

Keywords:  Base editor; CGBE; Mouse model; Xrcc1

Mesh:

Substances:

Year:  2022        PMID: 35704130     DOI: 10.1007/s11248-022-00313-x

Source DB:  PubMed          Journal:  Transgenic Res        ISSN: 0962-8819            Impact factor:   3.145


  6 in total

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Journal:  Cell Discov       Date:  2020-04-28       Impact factor: 10.849

Review 2.  Diverse evolutionary roots and mechanistic variations of the CRISPR-Cas systems.

Authors:  Prarthana Mohanraju; Kira S Makarova; Bernd Zetsche; Feng Zhang; Eugene V Koonin; John van der Oost
Journal:  Science       Date:  2016-08-05       Impact factor: 47.728

3.  IL-1RN gene polymorphisms are associated with breast cancer risk in a Chinese Han population.

Authors:  Tianbo Jin; Wei Cao; Xiaoxiao Zuo; Miao Li; Ya Yang; Tiansong Liang; Hongyao Yang; Xinhan Zhao; Daoke Yang
Journal:  J Gene Med       Date:  2017-11-09       Impact factor: 4.565

4.  A programmable dual-RNA-guided DNA endonuclease in adaptive bacterial immunity.

Authors:  Martin Jinek; Krzysztof Chylinski; Ines Fonfara; Michael Hauer; Jennifer A Doudna; Emmanuelle Charpentier
Journal:  Science       Date:  2012-06-28       Impact factor: 47.728

5.  A targetable LIFR-NF-κB-LCN2 axis controls liver tumorigenesis and vulnerability to ferroptosis.

Authors:  Fan Yao; Yalan Deng; Yang Zhao; Ying Mei; Yilei Zhang; Xiaoguang Liu; Consuelo Martinez; Xiaohua Su; Roberto R Rosato; Hongqi Teng; Qinglei Hang; Shannon Yap; Dahu Chen; Yumeng Wang; Mei-Ju May Chen; Mutian Zhang; Han Liang; Dong Xie; Xin Chen; Hao Zhu; Jenny C Chang; M James You; Yutong Sun; Boyi Gan; Li Ma
Journal:  Nat Commun       Date:  2021-12-17       Impact factor: 14.919

6.  Programmable deletion, replacement, integration and inversion of large DNA sequences with twin prime editing.

Authors:  Andrew V Anzalone; Xin D Gao; Christopher J Podracky; Andrew T Nelson; Luke W Koblan; Aditya Raguram; Jonathan M Levy; Jaron A M Mercer; David R Liu
Journal:  Nat Biotechnol       Date:  2021-12-09       Impact factor: 68.164

  6 in total

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