Tracking-seq reveals the heterogeneity of off-target effects in CRISPR–Cas9-mediated genome editing

  • Ming Zhu*
  • , Runda Xu
  • , Junsong Yuan
  • , Jiacheng Wang
  • , Xiaoyu Ren
  • , Tingting Cong
  • , Yaxian You
  • , Anji Ju
  • , Longchen Xu
  • , Huimin Wang
  • , Peiyuan Zheng
  • , Huiying Tao
  • , Chunhua Lin
  • , Honghao Yu
  • , Juanjuan Du
  • , Xin Lin
  • , Wei Xie
  • , Yinqing Li*
  • , Xun Lan*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

The continued development of novel genome editors calls for a universal method to analyze their off-target effects. Here we describe a versatile method, called Tracking-seq, for in situ identification of off-target effects that is broadly applicable to common genome-editing tools, including Cas9, base editors and prime editors. Through tracking replication protein A (RPA)-bound single-stranded DNA followed by strand-specific library construction, Tracking-seq requires a low cell input and is suitable for in vitro, ex vivo and in vivo genome editing, providing a sensitive and practical genome-wide approach for off-target detection in various scenarios. We show, using the same guide RNA, that Tracking-seq detects heterogeneity in off-target effects between different editor modalities and between different cell types, underscoring the necessity of direct measurement in the original system.

Original languageEnglish
Article number212
Pages (from-to)799-810
Number of pages12
JournalNature Biotechnology
Volume43
Issue number5
DOIs
StatePublished - May 2025
Externally publishedYes

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