ArticleCommunications biology2026
AviTag-seq unifies nucleotide-resolution maps of CRISPR off-targets and AAV vector integrations.
Jia-Xin Li, Shu-Man Zhang, Xiao-Yu Ma, Dong-Hao Deng, Pei-Dong Bai, Juan-Juan Zhao, An Gong, Shan-Chen Pang, Fang Dong, Shu-Dong Wang and 2 more
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In one paragraphArticle in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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12 authors.
Jia-Xin Li *Haihe Laboratory of Cell Ecosystem, Tianjin Medical University, Tianjin, China.
Shu-Man Zhang *State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID 0000-0003-0228-3203 Xiao-Yu Ma *College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China.
Dong-Hao Deng *State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.ORCID 0009-0003-7565-1860 Pei-Dong BaiCollege of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China.
Juan-Juan ZhaoState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
An GongCollege of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China.
Shan-Chen PangCollege of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China.
Fang DongState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
Shu-Dong WangCollege of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China. wangsd@upc.edu.cn.ORCID 0000-0003-4360-6718 Jian-Ping ZhangState Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China. zhangjianping@ihcams.ac.cn.ORCID 0000-0002-5194-5077 Xiao-Bing ZhangHaihe Laboratory of Cell Ecosystem, Tianjin Medical University, Tianjin, China. zhangxbhk@gmail.com.ORCID 0000-0003-4319-6181 Funding
National Natural Science Foundation of China (National Science Foundation of China) 82402188
6 · The paper itselfAbstract
Comprehensive safety assessment of gene-editing therapies requires quantifying both off-target cleavage and vector integration. However, current double-strand break (DSB)-dependent assays are fundamentally limited when evaluating nickase-based editors and are hindered by tag polarity constraints. Here, we present AviTag-seq, a platform repurposing AAV Inverted Terminal Repeats (ITRs) as universal capture tags. By exploiting the ITRs' single-stranded hairpin structure, AviTag-seq overcomes polarity issues, enabling high-sensitivity detection with a single primer pair, particularly in iPSCs. Crucially, it captures off-target events from prime and base editors that evade conventional detection. In vivo, AviTag-seq outperformed DISCOVER-Seq+ in profiling Pcsk9 off-targets in mouse liver while simultaneously mapping AAV integration sites. This dual profiling revealed that, unlike in vitro, AAV vectors in vivo preferentially integrate into active gene promoters, highlighting a specific genotoxic risk for liver-directed therapies. AviTag-seq thus offers a unified, regulatory-grade solution for evaluating diverse genome-editing modalities.
Indexed as
Clustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsDependovirusGene EditingGenetic VectorsVirus IntegrationAnimalsHumansLiverMice
Identifiers
PMID42174157
PMCPMC13473653
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