Optimised metrics for CRISPR-KO screens with second-generation gRNA libraries
Abstract Genome-wide CRISPR-based knockout (CRISPR-KO) screening is an emerging technique which enables systematic genetic analysis of a cellular or molecular phenotype in question. Continuous improvements, such as modifications to the guide RNA (gRNA) scaffold and the development of gRNA on-target...
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Nature Portfolio
2017
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oai:doaj.org-article:bf61f265b7c34397b4f245df7adcb64e2021-12-02T11:41:22ZOptimised metrics for CRISPR-KO screens with second-generation gRNA libraries10.1038/s41598-017-07827-z2045-2322https://doaj.org/article/bf61f265b7c34397b4f245df7adcb64e2017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-07827-zhttps://doaj.org/toc/2045-2322Abstract Genome-wide CRISPR-based knockout (CRISPR-KO) screening is an emerging technique which enables systematic genetic analysis of a cellular or molecular phenotype in question. Continuous improvements, such as modifications to the guide RNA (gRNA) scaffold and the development of gRNA on-target prediction algorithms, have since been made to increase their screening performance. We compared the performance of three available second-generation human genome-wide CRISPR-KO libraries that included at least one of the improvements, and examined the effect of gRNA scaffold, number of gRNAs per gene and number of replicates on screen performance. We identified duplicated screens using a library with 6 gRNAs per gene as providing the best trade-off. Despite the improvements, we found that each improved library still has library-specific false negatives and, for the first time, estimated the false negative rates of CRISPR-KO screens, which are between 10% and 20%. Our newly-defined optimal screening parameters would be helpful in designing screens and constructing bespoke gRNA libraries.Swee Hoe OngYilong LiHiroko Koike-YusaKosuke YusaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-10 (2017) |
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Medicine R Science Q Swee Hoe Ong Yilong Li Hiroko Koike-Yusa Kosuke Yusa Optimised metrics for CRISPR-KO screens with second-generation gRNA libraries |
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Abstract Genome-wide CRISPR-based knockout (CRISPR-KO) screening is an emerging technique which enables systematic genetic analysis of a cellular or molecular phenotype in question. Continuous improvements, such as modifications to the guide RNA (gRNA) scaffold and the development of gRNA on-target prediction algorithms, have since been made to increase their screening performance. We compared the performance of three available second-generation human genome-wide CRISPR-KO libraries that included at least one of the improvements, and examined the effect of gRNA scaffold, number of gRNAs per gene and number of replicates on screen performance. We identified duplicated screens using a library with 6 gRNAs per gene as providing the best trade-off. Despite the improvements, we found that each improved library still has library-specific false negatives and, for the first time, estimated the false negative rates of CRISPR-KO screens, which are between 10% and 20%. Our newly-defined optimal screening parameters would be helpful in designing screens and constructing bespoke gRNA libraries. |
format |
article |
author |
Swee Hoe Ong Yilong Li Hiroko Koike-Yusa Kosuke Yusa |
author_facet |
Swee Hoe Ong Yilong Li Hiroko Koike-Yusa Kosuke Yusa |
author_sort |
Swee Hoe Ong |
title |
Optimised metrics for CRISPR-KO screens with second-generation gRNA libraries |
title_short |
Optimised metrics for CRISPR-KO screens with second-generation gRNA libraries |
title_full |
Optimised metrics for CRISPR-KO screens with second-generation gRNA libraries |
title_fullStr |
Optimised metrics for CRISPR-KO screens with second-generation gRNA libraries |
title_full_unstemmed |
Optimised metrics for CRISPR-KO screens with second-generation gRNA libraries |
title_sort |
optimised metrics for crispr-ko screens with second-generation grna libraries |
publisher |
Nature Portfolio |
publishDate |
2017 |
url |
https://doaj.org/article/bf61f265b7c34397b4f245df7adcb64e |
work_keys_str_mv |
AT sweehoeong optimisedmetricsforcrisprkoscreenswithsecondgenerationgrnalibraries AT yilongli optimisedmetricsforcrisprkoscreenswithsecondgenerationgrnalibraries AT hirokokoikeyusa optimisedmetricsforcrisprkoscreenswithsecondgenerationgrnalibraries AT kosukeyusa optimisedmetricsforcrisprkoscreenswithsecondgenerationgrnalibraries |
_version_ |
1718395424041074688 |