Genome-wide detection of CRISPR editing in vivo using GUIDE-tag.
Genome-wide detection of CRISPR editing in vivo using GUIDE-tag.
复制标题
DOI:
10.1038/s41467-022-28135-9
复制
发表时间:
2022-01-21
影响因子:
16.6
通讯作者:
Xue W
中科院分区:
文献类型:
--
作者:
Liang SQ;Liu P;Smith JL;Mintzer E;Maitland S;Dong X;Yang Q;Lee J;Haynes CM;Zhu LJ;Watts JK;Sontheimer EJ;Wolfe SA;Xue W
Analysis of off-target editing is an important aspect of the development of safe nuclease-based genome editing therapeutics. in vivo assessment of nuclease off-target activity has primarily been indirect (based on discovery in vitro, in cells or via computational prediction) or through ChIP-based detection of double-strand break (DSB) DNA repair factors, which can be cumbersome. Herein we describe GUIDE-tag, which enables one-step, off-target genome editing analysis in mouse liver and lung. The GUIDE-tag system utilizes tethering between the Cas9 nuclease and the DNA donor to increase the capture rate of nuclease-mediated DSBs and UMI incorporation via Tn5 tagmentation to avoid PCR bias. These components can be delivered as SpyCas9-mSA ribonucleoprotein complexes and biotin-dsDNA donor for in vivo editing analysis. GUIDE-tag enables detection of off-target sites where editing rates are ≥ 0.2%. UDiTaS analysis utilizing the same tagmented genomic DNA detects low frequency translocation events with off-target sites and large deletions in vivo. The SpyCas9-mSA and biotin-dsDNA system provides a method to capture DSB loci in vivo in a variety of tissues with a workflow that is amenable to analysis of gross genomic alterations that are associated with genome editing. In vivo assessment of nuclease off-target activity has primarily been indirect or through ChIP-based detection of double-strand break DNA repair factors, which can be cumbersome. Here, the authors show that GUIDE-tag, enables one-step off-target genome editing analysis in mouse liver and lung.
登录
查看更多内容
影响因子:
7
作者:
Auer TO;Duroure K;De Cian A;Concordet JP;Del Bene F
通讯作者:
Del Bene F
影响因子:
16.6
作者:
Bolukbasi MF;Liu P;Luk K;Kwok SF;Gupta A;Amrani N;Sontheimer EJ;Zhu LJ;Wolfe SA
通讯作者:
Wolfe SA
影响因子:
46.9
作者:
通讯作者:
--
影响因子:
46.9
作者:
Doench JG;Fusi N;Sullender M;Hegde M;Vaimberg EW;Donovan KF;Smith I;Tothova Z;Wilen C;Orchard R;Virgin HW;Listgarten J;Root DE
通讯作者:
Root DE
影响因子:
14.9
作者:
He X;Tan C;Wang F;Wang Y;Zhou R;Cui D;You W;Zhao H;Ren J;Feng B
通讯作者:
Feng B