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Quantitative CRISPR interference screens in yeast identify chemical-genetic interactions and new rules for guide RNA design

BACKGROUND: Genome-scale CRISPR interference (CRISPRi) has been used in human cell lines; however, the features of effective guide RNAs (gRNAs) in different organisms have not been well characterized. Here, we define rules that determine gRNA effectiveness for transcriptional repression in Saccharom...

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Autores principales: Smith, Justin D., Suresh, Sundari, Schlecht, Ulrich, Wu, Manhong, Wagih, Omar, Peltz, Gary, Davis, Ronald W., Steinmetz, Lars M., Parts, Leopold, St.Onge, Robert P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4784398/
https://www.ncbi.nlm.nih.gov/pubmed/26956608
http://dx.doi.org/10.1186/s13059-016-0900-9
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author Smith, Justin D.
Suresh, Sundari
Schlecht, Ulrich
Wu, Manhong
Wagih, Omar
Peltz, Gary
Davis, Ronald W.
Steinmetz, Lars M.
Parts, Leopold
St.Onge, Robert P.
author_facet Smith, Justin D.
Suresh, Sundari
Schlecht, Ulrich
Wu, Manhong
Wagih, Omar
Peltz, Gary
Davis, Ronald W.
Steinmetz, Lars M.
Parts, Leopold
St.Onge, Robert P.
author_sort Smith, Justin D.
collection PubMed
description BACKGROUND: Genome-scale CRISPR interference (CRISPRi) has been used in human cell lines; however, the features of effective guide RNAs (gRNAs) in different organisms have not been well characterized. Here, we define rules that determine gRNA effectiveness for transcriptional repression in Saccharomyces cerevisiae. RESULTS: We create an inducible single plasmid CRISPRi system for gene repression in yeast, and use it to analyze fitness effects of gRNAs under 18 small molecule treatments. Our approach correctly identifies previously described chemical-genetic interactions, as well as a new mechanism of suppressing fluconazole toxicity by repression of the ERG25 gene. Assessment of multiple target loci across treatments using gRNA libraries allows us to determine generalizable features associated with gRNA efficacy. Guides that target regions with low nucleosome occupancy and high chromatin accessibility are clearly more effective. We also find that the best region to target gRNAs is between the transcription start site (TSS) and 200 bp upstream of the TSS. Finally, unlike nuclease-proficient Cas9 in human cells, the specificity of truncated gRNAs (18 nt of complementarity to the target) is not clearly superior to full-length gRNAs (20 nt of complementarity), as truncated gRNAs are generally less potent against both mismatched and perfectly matched targets. CONCLUSIONS: Our results establish a powerful functional and chemical genomics screening method and provide guidelines for designing effective gRNAs, which consider chromatin state and position relative to the target gene TSS. These findings will enable effective library design and genome-wide programmable gene repression in many genetic backgrounds. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-016-0900-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-47843982016-03-10 Quantitative CRISPR interference screens in yeast identify chemical-genetic interactions and new rules for guide RNA design Smith, Justin D. Suresh, Sundari Schlecht, Ulrich Wu, Manhong Wagih, Omar Peltz, Gary Davis, Ronald W. Steinmetz, Lars M. Parts, Leopold St.Onge, Robert P. Genome Biol Research BACKGROUND: Genome-scale CRISPR interference (CRISPRi) has been used in human cell lines; however, the features of effective guide RNAs (gRNAs) in different organisms have not been well characterized. Here, we define rules that determine gRNA effectiveness for transcriptional repression in Saccharomyces cerevisiae. RESULTS: We create an inducible single plasmid CRISPRi system for gene repression in yeast, and use it to analyze fitness effects of gRNAs under 18 small molecule treatments. Our approach correctly identifies previously described chemical-genetic interactions, as well as a new mechanism of suppressing fluconazole toxicity by repression of the ERG25 gene. Assessment of multiple target loci across treatments using gRNA libraries allows us to determine generalizable features associated with gRNA efficacy. Guides that target regions with low nucleosome occupancy and high chromatin accessibility are clearly more effective. We also find that the best region to target gRNAs is between the transcription start site (TSS) and 200 bp upstream of the TSS. Finally, unlike nuclease-proficient Cas9 in human cells, the specificity of truncated gRNAs (18 nt of complementarity to the target) is not clearly superior to full-length gRNAs (20 nt of complementarity), as truncated gRNAs are generally less potent against both mismatched and perfectly matched targets. CONCLUSIONS: Our results establish a powerful functional and chemical genomics screening method and provide guidelines for designing effective gRNAs, which consider chromatin state and position relative to the target gene TSS. These findings will enable effective library design and genome-wide programmable gene repression in many genetic backgrounds. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-016-0900-9) contains supplementary material, which is available to authorized users. BioMed Central 2016-03-08 /pmc/articles/PMC4784398/ /pubmed/26956608 http://dx.doi.org/10.1186/s13059-016-0900-9 Text en © Smith et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Smith, Justin D.
Suresh, Sundari
Schlecht, Ulrich
Wu, Manhong
Wagih, Omar
Peltz, Gary
Davis, Ronald W.
Steinmetz, Lars M.
Parts, Leopold
St.Onge, Robert P.
Quantitative CRISPR interference screens in yeast identify chemical-genetic interactions and new rules for guide RNA design
title Quantitative CRISPR interference screens in yeast identify chemical-genetic interactions and new rules for guide RNA design
title_full Quantitative CRISPR interference screens in yeast identify chemical-genetic interactions and new rules for guide RNA design
title_fullStr Quantitative CRISPR interference screens in yeast identify chemical-genetic interactions and new rules for guide RNA design
title_full_unstemmed Quantitative CRISPR interference screens in yeast identify chemical-genetic interactions and new rules for guide RNA design
title_short Quantitative CRISPR interference screens in yeast identify chemical-genetic interactions and new rules for guide RNA design
title_sort quantitative crispr interference screens in yeast identify chemical-genetic interactions and new rules for guide rna design
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4784398/
https://www.ncbi.nlm.nih.gov/pubmed/26956608
http://dx.doi.org/10.1186/s13059-016-0900-9
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