CRISPR Activation Screens Systematically Identify Factors that Drive Neuronal Fate and Reprogramming.
CRISPR Activation Screens Systematically Identify Factors that Drive Neuronal Fate and Reprogramming.
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DOI:
10.1016/j.stem.2018.09.003
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发表时间:
2018-11-01
期刊:
影响因子:
23.9
通讯作者:
Qi LS
中科院分区:
文献类型:
--
作者:
Liu Y;Yu C;Daley TP;Wang F;Cao WS;Bhate S;Lin X;Still C 2nd;Liu H;Zhao D;Wang H;Xie XS;Ding S;Wong WH;Wernig M;Qi LS
Comprehensive identification of factors that can specify neuronal fate could provide valuable insights into lineage specification and reprogramming, but systematic interrogation of transcription factors, and their interactions with each other, has proven technically challenging. We developed a CRISPR activation (CRISPRa) approach to systematically identify regulators of neuronal fate specification. We activated expression of all endogenous transcription factors and other regulators via a pooled CRISPRa screen in embryonic stem cells, revealing genes including epigenetic regulators such as Ezh2 that can induce neuronal fate. Systematic CRISPR-based activation of factor pairs allowed us to generate a genetic interaction map for neuronal differentiation, with confirmation of top individual and combinatorial hits as bona fide inducers of neuronal fate. Several factor pairs could directly reprogram fibroblasts into neurons, which shared similar transcriptional programs with endogenous neurons. This study provides an unbiased discovery approach for systematic identification of genes that drive cell fate acquisition. Liu and colleagues developed a high-throughput CRISPR activation screening approach to systematically identify transcription factors that efficiently promote neuronal fate from ESCs. Some of these single and pairwise factors can further reprogram fibroblasts into neurons, showing that this approach may have broad utility for engineering cell lineages.
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影响因子:
64.8
作者:
Konermann S;Brigham MD;Trevino AE;Joung J;Abudayyeh OO;Barcena C;Hsu PD;Habib N;Gootenberg JS;Nishimasu H;Nureki O;Zhang F
通讯作者:
Zhang F
DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Anders S;Pyl PT;Huber W
通讯作者:
Huber W
影响因子:
7.5
作者:
Cheng P;Sun X;Yin D;Xu F;Yang K;Qin L;Dong Y;Guo F;Chen A;Zhang W;Huang H
通讯作者:
Huang H
影响因子:
64.5
作者:
Dixit, Atray;Pamas, Oren;Li, Biyu;Chen, Jenny;Fulco, Charles P.;Jerby-Amon, Livnat;Marjanovic, Nemanja D.;Dionne, Danielle;Burks, Tyler;Raychowdhury, Raktima;Adamson, Britt;Norman, Thomas M.;Lander, Eric S.;Weissman, Jonathan S.;Friedman, Nir;Regev, Aviv
通讯作者:
Regev, Aviv
影响因子:
23.9
作者:
Black, Joshua B.;Adler, Andrew F.;Wang, Hong-Gang;D'Ippolito, Anthony M.;Hutchinson, Hunter A.;Reddy, Timothy E.;Pitt, Geoffrey S.;Leong, Kam W.;Gersbach, Charles A.
通讯作者:
Gersbach, Charles A.