Evidence map›Paper›PMID 35443934›Full record

ArticleMolecular therapy : the journal of the American Society of Gene Therapy2022

Eliminating predictable DNA off-target effects of cytosine base editor by using dual guiders including sgRNA and TALE.

Jizeng Zhou, Yang Liu, Yuhui Wei, Shuwen Zheng, Shixue Gou, Tao Chen, Yang Yang, Ting Lan, Min Chen, Yuan Liao and 10 more

Abstract read
In one paragraph

Article in Molecular therapy : the journal of the American Society of Gene Therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Jizeng ZhouGuangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, School of Biotechnology and Health Sciences, Wuyi University, Jiangmen, China; School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, China.
Yang LiuCAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; School of Life Sciences, University of Science and Technology of China, Hefei, China.
Yuhui WeiCAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Shuwen ZhengGuangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, School of Biotechnology and Health Sciences, Wuyi University, Jiangmen, China.
Shixue GouCAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Tao ChenGuangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, School of Biotechnology and Health Sciences, Wuyi University, Jiangmen, China.
Yang YangSchool of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, China.
Ting LanCAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Min ChenGuangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, School of Biotechnology and Health Sciences, Wuyi University, Jiangmen, China.
Yuan LiaoCAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Quanjun ZhangCAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China; Research Unit of Generation of Large Animal Disease Models, Chinese Academy of Medical Sciences (2019RU015), Guangzhou, China.
Chengcheng TangGuangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, School of Biotechnology and Health Sciences, Wuyi University, Jiangmen, China.
Yu LiuGuangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, School of Biotechnology and Health Sciences, Wuyi University, Jiangmen, China.
Yunqin WuGuangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, School of Biotechnology and Health Sciences, Wuyi University, Jiangmen, China.
Xiaohua PengGuangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, School of Biotechnology and Health Sciences, Wuyi University, Jiangmen, China.
Minghui GaoCAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Junwei WangCAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.
Kun ZhangGuangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, School of Biotechnology and Health Sciences, Wuyi University, Jiangmen, China; School of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, China. Electronic address: kzhang@gdut.edu.cn.
Liangxue LaiGuangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, School of Biotechnology and Health Sciences, Wuyi University, Jiangmen, China; CAS Key Laboratory of Regenerative Biology, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China; Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China; Research Unit of Generation of Large Animal Disease Models, Chinese Academy of Medical Sciences (2019RU015), Guangzhou, China. Electronic address: lai_liangxue@gibh.ac.cn.
Qingjian ZouGuangdong Provincial Key Laboratory of Large Animal Models for Biomedicine, School of Biotechnology and Health Sciences, Wuyi University, Jiangmen, China. Electronic address: zouqj@wyu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predictable DNA off-target effect is one of the major safety concerns for the application of cytosine base editors (CBEs). To eliminate Cas9-dependent DNA off-target effects, we designed a novel effective CBE system with dual guiders by combining CRISPR with transcription activator-like effector (TALE). In this system, Cas9 nickase (nCas9) and cytosine deaminase are guided to the same target site to conduct base editing by single-guide RNA (sgRNA) and TALE, respectively. However, if nCas9 is guided to a wrong site by sgRNA, it will not generate base editing due to the absence of deaminase. Similarly, when deaminase is guided to a wrong site by TALE, base editing will not occur due to the absence of single-stranded DNA. In this way, Cas9- and TALE-dependent DNA off-target effects could be completely eliminated. Furthermore, by fusing TALE with YE1, a cytidine deaminase with minimal Cas9-independent off-target effect, we established a novel CBE that could induce efficient C-to-T conversion without detectable Cas9- or TALE-dependent DNA off-target mutations.

Indexed as

CytosineRNA, Guide, CRISPR-Cas SystemsCRISPR-Cas SystemsDNAGene EditingTranscription Activator-Like EffectorsCytosineDNARNA, Guide, CRISPR-Cas SystemsTranscription Activator-Like EffectorsCRISPR-Cas9cytosine base editorpredictable DNA off-target effectsTALE

Identifiers

PMID35443934
PMCPMC9263286

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.