Title |
Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9
|
---|---|
Published in |
Nature Biotechnology, January 2016
|
DOI | 10.1038/nbt.3437 |
Pubmed ID | |
Authors |
John G Doench, Nicolo Fusi, Meagan Sullender, Mudra Hegde, Emma W Vaimberg, Katherine F Donovan, Ian Smith, Zuzana Tothova, Craig Wilen, Robert Orchard, Herbert W Virgin, Jennifer Listgarten, David E Root |
Abstract |
CRISPR-Cas9-based genetic screens are a powerful new tool in biology. By simply altering the sequence of the single-guide RNA (sgRNA), one can reprogram Cas9 to target different sites in the genome with relative ease, but the on-target activity and off-target effects of individual sgRNAs can vary widely. Here, we use recently devised sgRNA design rules to create human and mouse genome-wide libraries, perform positive and negative selection screens and observe that the use of these rules produced improved results. Additionally, we profile the off-target activity of thousands of sgRNAs and develop a metric to predict off-target sites. We incorporate these findings from large-scale, empirical data to improve our computational design rules and create optimized sgRNA libraries that maximize on-target activity and minimize off-target effects to enable more effective and efficient genetic screens and genome engineering. |
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Canada | 4 | 5% |
Germany | 4 | 5% |
United Kingdom | 4 | 5% |
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France | 3 | 4% |
Japan | 3 | 4% |
Australia | 1 | 1% |
El Salvador | 1 | 1% |
Other | 4 | 5% |
Unknown | 24 | 32% |
Demographic breakdown
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Scientists | 19 | 25% |
Science communicators (journalists, bloggers, editors) | 4 | 5% |
Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
Geographical breakdown
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United Kingdom | 8 | <1% |
Germany | 6 | <1% |
Canada | 6 | <1% |
Finland | 4 | <1% |
Austria | 3 | <1% |
Denmark | 3 | <1% |
Belgium | 2 | <1% |
China | 2 | <1% |
Other | 9 | <1% |
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Demographic breakdown
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Researcher | 736 | 17% |
Student > Bachelor | 496 | 12% |
Student > Master | 490 | 11% |
Student > Doctoral Student | 186 | 4% |
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Unknown | 906 | 21% |
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Medicine and Dentistry | 175 | 4% |
Immunology and Microbiology | 168 | 4% |
Neuroscience | 109 | 3% |
Other | 378 | 9% |
Unknown | 1001 | 23% |