Prediction of off-target activities for the end-to-end design of CRISPR guide RNAs-Reference-Cited by-同舟云学术

Prediction of off-target activities for the end-to-end design of CRISPR guide RNAs

Published:2018-01 Issue:1 Volume:2 Page:38-47
ISSN:2157-846X
Container-title:Nature Biomedical Engineering
language:en
Short-container-title:Nat Biomed Eng

Author:

Listgarten Jennifer^ORCID,Weinstein Michael,Kleinstiver Benjamin P.,Sousa Alexander A.,Joung J. Keith^ORCID,Crawford Jake,Gao Kevin,Hoang Luong,Elibol Melih,Doench John G.^ORCID,Fusi Nicolo^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering,Medicine (miscellaneous),Bioengineering,Biotechnology

Link

http://www.nature.com/articles/s41551-017-0178-6.pdf

Reference46 articles.

1. Doench, J. G. et al. Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR–Cas9. Nat. Biotechnol. 34, 184–191 (2016).

2. Hsu, P. D. et al. DNA targeting specificity of RNA-guided Cas9 nucleases. Nat. Biotechnol. 31, 827–832 (2013).

3. Tsai, S. Q. et al. GUIDE-seq enables genome-wide profiling of off-target cleavage by CRISPR–Cas nucleases. Nat. Biotechnol. 33, 187–197 (2015).

4. Frock, R. L. et al. Genome-wide detection of DNA double-stranded breaks induced by engineered nucleases. Nat. Biotechnol. 33, 179–186 (2015).

5. Wang, X. et al. Unbiased detection of off-target cleavage by CRISPR–Cas9 and TALENs using integrase-defective lentiviral vectors. Nat. Biotechnol. 33, 175–178 (2015).

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