Cargando…
Optimized libraries for CRISPR-Cas9 genetic screens with multiple modalities
The creation of genome-wide libraries for CRISPR knockout (CRISPRko), interference (CRISPRi), and activation (CRISPRa) has enabled the systematic interrogation of gene function. Here, we show that our recently-described CRISPRko library (Brunello) is more effective than previously published librarie...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303322/ https://www.ncbi.nlm.nih.gov/pubmed/30575746 http://dx.doi.org/10.1038/s41467-018-07901-8 |
_version_ | 1783382154330243072 |
---|---|
author | Sanson, Kendall R. Hanna, Ruth E. Hegde, Mudra Donovan, Katherine F. Strand, Christine Sullender, Meagan E. Vaimberg, Emma W. Goodale, Amy Root, David E. Piccioni, Federica Doench, John G. |
author_facet | Sanson, Kendall R. Hanna, Ruth E. Hegde, Mudra Donovan, Katherine F. Strand, Christine Sullender, Meagan E. Vaimberg, Emma W. Goodale, Amy Root, David E. Piccioni, Federica Doench, John G. |
author_sort | Sanson, Kendall R. |
collection | PubMed |
description | The creation of genome-wide libraries for CRISPR knockout (CRISPRko), interference (CRISPRi), and activation (CRISPRa) has enabled the systematic interrogation of gene function. Here, we show that our recently-described CRISPRko library (Brunello) is more effective than previously published libraries at distinguishing essential and non-essential genes, providing approximately the same perturbation-level performance improvement over GeCKO libraries as GeCKO provided over RNAi. Additionally, we present genome-wide libraries for CRISPRi (Dolcetto) and CRISPRa (Calabrese), and show in negative selection screens that Dolcetto, with fewer sgRNAs per gene, outperforms existing CRISPRi libraries and achieves comparable performance to CRISPRko in detecting essential genes. We also perform positive selection CRISPRa screens and demonstrate that Calabrese outperforms the SAM approach at identifying vemurafenib resistance genes. We further compare CRISPRa to genome-scale libraries of open reading frames (ORFs). Together, these libraries represent a suite of genome-wide tools to efficiently interrogate gene function with multiple modalities. |
format | Online Article Text |
id | pubmed-6303322 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-63033222018-12-23 Optimized libraries for CRISPR-Cas9 genetic screens with multiple modalities Sanson, Kendall R. Hanna, Ruth E. Hegde, Mudra Donovan, Katherine F. Strand, Christine Sullender, Meagan E. Vaimberg, Emma W. Goodale, Amy Root, David E. Piccioni, Federica Doench, John G. Nat Commun Article The creation of genome-wide libraries for CRISPR knockout (CRISPRko), interference (CRISPRi), and activation (CRISPRa) has enabled the systematic interrogation of gene function. Here, we show that our recently-described CRISPRko library (Brunello) is more effective than previously published libraries at distinguishing essential and non-essential genes, providing approximately the same perturbation-level performance improvement over GeCKO libraries as GeCKO provided over RNAi. Additionally, we present genome-wide libraries for CRISPRi (Dolcetto) and CRISPRa (Calabrese), and show in negative selection screens that Dolcetto, with fewer sgRNAs per gene, outperforms existing CRISPRi libraries and achieves comparable performance to CRISPRko in detecting essential genes. We also perform positive selection CRISPRa screens and demonstrate that Calabrese outperforms the SAM approach at identifying vemurafenib resistance genes. We further compare CRISPRa to genome-scale libraries of open reading frames (ORFs). Together, these libraries represent a suite of genome-wide tools to efficiently interrogate gene function with multiple modalities. Nature Publishing Group UK 2018-12-21 /pmc/articles/PMC6303322/ /pubmed/30575746 http://dx.doi.org/10.1038/s41467-018-07901-8 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Sanson, Kendall R. Hanna, Ruth E. Hegde, Mudra Donovan, Katherine F. Strand, Christine Sullender, Meagan E. Vaimberg, Emma W. Goodale, Amy Root, David E. Piccioni, Federica Doench, John G. Optimized libraries for CRISPR-Cas9 genetic screens with multiple modalities |
title | Optimized libraries for CRISPR-Cas9 genetic screens with multiple modalities |
title_full | Optimized libraries for CRISPR-Cas9 genetic screens with multiple modalities |
title_fullStr | Optimized libraries for CRISPR-Cas9 genetic screens with multiple modalities |
title_full_unstemmed | Optimized libraries for CRISPR-Cas9 genetic screens with multiple modalities |
title_short | Optimized libraries for CRISPR-Cas9 genetic screens with multiple modalities |
title_sort | optimized libraries for crispr-cas9 genetic screens with multiple modalities |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6303322/ https://www.ncbi.nlm.nih.gov/pubmed/30575746 http://dx.doi.org/10.1038/s41467-018-07901-8 |
work_keys_str_mv | AT sansonkendallr optimizedlibrariesforcrisprcas9geneticscreenswithmultiplemodalities AT hannaruthe optimizedlibrariesforcrisprcas9geneticscreenswithmultiplemodalities AT hegdemudra optimizedlibrariesforcrisprcas9geneticscreenswithmultiplemodalities AT donovankatherinef optimizedlibrariesforcrisprcas9geneticscreenswithmultiplemodalities AT strandchristine optimizedlibrariesforcrisprcas9geneticscreenswithmultiplemodalities AT sullendermeagane optimizedlibrariesforcrisprcas9geneticscreenswithmultiplemodalities AT vaimbergemmaw optimizedlibrariesforcrisprcas9geneticscreenswithmultiplemodalities AT goodaleamy optimizedlibrariesforcrisprcas9geneticscreenswithmultiplemodalities AT rootdavide optimizedlibrariesforcrisprcas9geneticscreenswithmultiplemodalities AT piccionifederica optimizedlibrariesforcrisprcas9geneticscreenswithmultiplemodalities AT doenchjohng optimizedlibrariesforcrisprcas9geneticscreenswithmultiplemodalities |