Literature DB >> 35381364

Reconstructed glycosylase base editors GBE2.0 with enhanced C-to-G base editing efficiency and purity.

Naxin Sun1, Dongdong Zhao1, Siwei Li1, Ziteng Zhang2, Changhao Bi3, Xueli Zhang4.   

Abstract

Base editing techniques were developed for precise base conversion on cellular genomic DNA, which has great potential for the treatment of human genetic diseases. The glycosylase base editor (GBE) recently developed in our lab was used to perform C-to-G transversions in mammalian cells. To improve the application prospects of GBE, it is necessary to further increase its performance. With this aim, we replaced the human Ung in GBE with Ung1 from Saccharomyces cerevisiae. The resulting editor APOBEC-nCas9-Ung1 was tested at 17 chromosomal loci and was found to have an increased C-to-G editing efficiency ranging from 2.63% to 52.3%, with an average of 23.48%, which was a significant improvement over GBE, with an average efficiency of 15.54%, but with a decreased purity. For further improvement, we constructed APOBEC(R33A)-nCas9-Rad51-Ung1 with two beneficial modifications adapted from previous reports. This base editor was able to achieve even higher editing efficiency ranging from 8.70% to 72.1%, averaging 30.88%, while also exhibiting high C-to-G purity ranging from 35.57% to 92.92%, and was designated GBE2.0. GBE2.0 provides high C-to-G editing efficiency and purity in mammalian cells, making it a powerful genetic tool for scientific research or potential genetic therapies for disease-causing G/C mutations.
Copyright © 2022 The American Society of Gene and Cell Therapy. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  base editing; glycosylase base editor

Mesh:

Year:  2022        PMID: 35381364      PMCID: PMC9263226          DOI: 10.1016/j.ymthe.2022.03.023

Source DB:  PubMed          Journal:  Mol Ther        ISSN: 1525-0016            Impact factor:   12.910


  38 in total

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Journal:  N Engl J Med       Date:  2020-12-05       Impact factor: 91.245

3.  Sequence motifs and prediction model of GBE editing outcomes based on target library analysis and machine learning.

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Authors:  Dongdong Zhao; Ju Li; Siwei Li; Xiuqing Xin; Muzi Hu; Marcus A Price; Susan J Rosser; Changhao Bi; Xueli Zhang
Journal:  Nat Biotechnol       Date:  2020-07-20       Impact factor: 54.908

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Journal:  Nat Biotechnol       Date:  2021-06-28       Impact factor: 54.908

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Journal:  Nat Biotechnol       Date:  2018-05-29       Impact factor: 54.908

9.  Cytosine base editors with minimized unguided DNA and RNA off-target events and high on-target activity.

Authors:  Yi Yu; Thomas C Leete; David A Born; Lauren Young; Luis A Barrera; Seung-Joo Lee; Holly A Rees; Giuseppe Ciaramella; Nicole M Gaudelli
Journal:  Nat Commun       Date:  2020-04-28       Impact factor: 14.919

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  1 in total

1.  CRISPR DNA Base Editing Strategies for Treating Retinitis Pigmentosa Caused by Mutations in Rhodopsin.

Authors:  Maria Kaukonen; Michelle E McClements; Robert E MacLaren
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  1 in total

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