Massively parallel genomic perturbations with multi-target CRISPR interrogates Cas9 activity and DNA repair at endogenous sites.
Massively parallel genomic perturbations with multi-target CRISPR interrogates Cas9 activity and DNA repair at endogenous sites.
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使用多靶点CRISPR的大规模平行基因组扰动询问内源性位点的Cas9活性和DNA修复。
DOI:
10.1038/s41556-022-00975-z
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发表时间:
2022-09
影响因子:
21.3
通讯作者:
中科院分区:
文献类型:
--
作者:
Here we present an approach that combines a clustered regularly interspaced short palindromic repeats (CRISPR) system that simultaneously targets hundreds of epigenetically diverse endogenous genomic sites with high-throughput sequencing to measure Cas9 dynamics and cellular responses at scale. This massive multiplexing of CRISPR is enabled by means of multi-target guide RNAs (mgRNAs), degenerate guide RNAs that direct Cas9 to a pre-determined number of well-mapped sites. mgRNAs uncovered generalizable insights into Cas9 binding and cleavage, revealing rapid post-cleavage Cas9 departure and repair factor loading at protospacer adjacent motif-proximal genomic DNA. Moreover, by bypassing confounding effects from guide RNA sequence, mgRNAs unveiled that Cas9 binding is enhanced at chromatin-accessible regions, and cleavage by bound Cas9 is more efficient near transcribed regions. Combined with light-mediated activation and deactivation of Cas9 activity, mgRNAs further enabled high-throughput study of the cellular response to double-strand breaks with high temporal resolution, revealing the presence, extent (under 2 kb) and kinetics (~1 h) of reversible DNA damage-induced chromatin decompaction. Altogether, this work establishes mgRNAs as a generalizable platform for multiplexing CRISPR and advances our understanding of intracellular Cas9 activity and the DNA damage response at endogenous loci. Zou et al. use a single multi-target guide RNA to direct Cas9 to a high number of loci mapped by high-throughput short-read sequencing. This multi-target CRISPR system allows detailed studies of genome editing and DNA repair.
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影响因子:
12.3
作者:
Chuai G;Ma H;Yan J;Chen M;Hong N;Xue D;Zhou C;Zhu C;Chen K;Duan B;Gu F;Qu S;Huang D;Wei J;Liu Q
通讯作者:
Liu Q
影响因子:
16.8
作者:
Kouzine, Fedor;Gupta, Ashutosh;Baranello, Laura;Wojtowicz, Damian;Ben-Aissa, Khadija;Liu, Juhong;Przytycka, Teresa M.;Levens, David
通讯作者:
Levens, David
影响因子:
56.9
作者:
Knight, Spencer C.;Xie, Liangqi;Tjian, Robert
通讯作者:
Tjian, Robert
影响因子:
64.8
作者:
Buenrostro JD;Wu B;Litzenburger UM;Ruff D;Gonzales ML;Snyder MP;Chang HY;Greenleaf WJ
通讯作者:
Greenleaf WJ
影响因子:
46.9
作者:
Kuscu, Cem;Arslan, Sevki;Adli, Mazhar
通讯作者:
Adli, Mazhar