TY - JOUR
T1 - Tracking-seq reveals the heterogeneity of off-target effects in CRISPR–Cas9-mediated genome editing
AU - Zhu, Ming
AU - Xu, Runda
AU - Yuan, Junsong
AU - Wang, Jiacheng
AU - Ren, Xiaoyu
AU - Cong, Tingting
AU - You, Yaxian
AU - Ju, Anji
AU - Xu, Longchen
AU - Wang, Huimin
AU - Zheng, Peiyuan
AU - Tao, Huiying
AU - Lin, Chunhua
AU - Yu, Honghao
AU - Du, Juanjuan
AU - Lin, Xin
AU - Xie, Wei
AU - Li, Yinqing
AU - Lan, Xun
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer Nature America, Inc. 2024.
PY - 2025/5
Y1 - 2025/5
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85197365767
U2 - 10.1038/s41587-024-02307-y
DO - 10.1038/s41587-024-02307-y
M3 - 文章
C2 - 38956324
AN - SCOPUS:85197365767
SN - 1087-0156
VL - 43
SP - 799
EP - 810
JO - Nature Biotechnology
JF - Nature Biotechnology
IS - 5
M1 - 212
ER -