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AviTag-seq unifies nucleotide-resolution maps of CRISPR off-targets and AAV vector integrations
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  • Published: 22 May 2026

AviTag-seq unifies nucleotide-resolution maps of CRISPR off-targets and AAV vector integrations

  • Jia-Xin Li1 na1,
  • Shu-Man Zhang  ORCID: orcid.org/0000-0003-0228-32032,3 na1,
  • Xiao-Yu Ma4 na1,
  • Dong-Hao Deng  ORCID: orcid.org/0009-0003-7565-18602,3 na1,
  • Pei-Dong Bai4,
  • Juan-Juan Zhao2,3,
  • An Gong4,
  • Shan-Chen Pang4,
  • Fang Dong2,
  • Shu-Dong Wang  ORCID: orcid.org/0000-0003-4360-67184,
  • Jian-Ping Zhang  ORCID: orcid.org/0000-0002-5194-50772,3 &
  • …
  • Xiao-Bing Zhang  ORCID: orcid.org/0000-0003-4319-61811,2,3 

Communications Biology (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • CRISPR-Cas9 genome editing
  • Targeted resequencing

Abstract

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.

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Acknowledgements

This work was supported by the National Key Research and Development Program of China (Grant Nos. 2019YFA0110803, 2019YFA0110204, and 2021YFA1100900), the National Natural Science Foundation of China (Grant Nos. 92568302, 82570286, 82402188, 81870149, 82070115, 81890990 and 81730006), the Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences (CIFMS) (Grant Nos. 2024-I2M-ZH-015, 2024-I2M-3-018, 2023-I2M-2-007, 2022-I2M-2-003, 2022-I2M-2-001, 2021-I2M-1-041, 2021-I2M-1-040, and 2021-I2M-1-001), the Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences (Grant No. 2020-PT310-011), the Tianjin Synthetic Biotechnology Innovation Capacity Improvement Project (Grant No. TSBICIP-KJGG-017), the CAMS Fundamental Research Funds for Central Research Institutes (Grant No. 3332021093), the Tianjin Natural Science Foundation Project (Grant No. S25YB0754), the Haihe Laboratory of Cell Ecosystem Innovation Fund (Grant Nos. 24HHXBSS00005 and HH22KYZX0022), the China Foundation For Youth Entrepreneurship and Employment-Incaier Public Welfare Fund (HH25KYHX0009), the Fundamental Research Funds for the Central Universities (Grant No. 3332024074) and Postdoctoral Fellowship Program of CPSF (Grant Nos. GZC20240154).

Author information

Author notes
  1. These authors contributed equally: Jia-Xin Li, Shu-Man Zhang, Xiao-Yu Ma, Dong-Hao Deng.

Authors and Affiliations

  1. Haihe Laboratory of Cell Ecosystem, Tianjin Medical University, Tianjin, China

    Jia-Xin Li & Xiao-Bing Zhang

  2. 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

    Shu-Man Zhang, Dong-Hao Deng, Juan-Juan Zhao, Fang Dong, Jian-Ping Zhang & Xiao-Bing Zhang

  3. Tianjin Institutes of Health Science, Tianjin, China

    Shu-Man Zhang, Dong-Hao Deng, Juan-Juan Zhao, Jian-Ping Zhang & Xiao-Bing Zhang

  4. College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China

    Xiao-Yu Ma, Pei-Dong Bai, An Gong, Shan-Chen Pang & Shu-Dong Wang

Authors
  1. Jia-Xin Li
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  2. Shu-Man Zhang
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Corresponding authors

Correspondence to Shu-Dong Wang, Jian-Ping Zhang or Xiao-Bing Zhang.

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Cite this article

Li, JX., Zhang, SM., Ma, XY. et al. AviTag-seq unifies nucleotide-resolution maps of CRISPR off-targets and AAV vector integrations. Commun Biol (2026). https://doi.org/10.1038/s42003-026-10298-6

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  • Received: 10 July 2025

  • Accepted: 07 May 2026

  • Published: 22 May 2026

  • DOI: https://doi.org/10.1038/s42003-026-10298-6

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