Evidence map›Paper›PMID 42174157›Full record

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

Abstract read
In one paragraph

Article 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.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

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 itself

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.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsDependovirusGene EditingGenetic VectorsVirus IntegrationAnimalsHumansLiverMice

Identifiers

PMID42174157
PMCPMC13473653

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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.