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

Ming ZhuRunda XuJunsong YuanJiacheng WangXiaoyu RenTingting CongYaxian YouAnji JuLongchen XuHuimin WangPeiyuan ZhengHuiying TaoChunhua LinHonghao YuJuanjuan DuXin LinWei XieYinqing LiXun Lan
Published in: Nature biotechnology (2024)
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.
Keyphrases
  • genome editing
  • crispr cas
  • single cell
  • genome wide
  • rna seq
  • dna methylation
  • gene expression
  • cell therapy
  • mesenchymal stem cells
  • small molecule