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Inducible expression of large gRNA arrays for multiplexed CRISPRai applications

CRISPR gene activation and inhibition (CRISPRai) has become a powerful synthetic tool for influencing the expression of native genes for foundational studies, cellular reprograming, and metabolic engineering. Here we develop a method for near leak-free, inducible expression of a polycistronic array...

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Autores principales: Shaw, William M., Studená, Lucie, Roy, Kyler, Hapeta, Piotr, McCarty, Nicholas S., Graham, Alicia E., Ellis, Tom, Ledesma-Amaro, Rodrigo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411621/
https://www.ncbi.nlm.nih.gov/pubmed/36008396
http://dx.doi.org/10.1038/s41467-022-32603-7
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author Shaw, William M.
Studená, Lucie
Roy, Kyler
Hapeta, Piotr
McCarty, Nicholas S.
Graham, Alicia E.
Ellis, Tom
Ledesma-Amaro, Rodrigo
author_facet Shaw, William M.
Studená, Lucie
Roy, Kyler
Hapeta, Piotr
McCarty, Nicholas S.
Graham, Alicia E.
Ellis, Tom
Ledesma-Amaro, Rodrigo
author_sort Shaw, William M.
collection PubMed
description CRISPR gene activation and inhibition (CRISPRai) has become a powerful synthetic tool for influencing the expression of native genes for foundational studies, cellular reprograming, and metabolic engineering. Here we develop a method for near leak-free, inducible expression of a polycistronic array containing up to 24 gRNAs from two orthogonal CRISPR/Cas systems to increase CRISPRai multiplexing capacity and target gene flexibility. To achieve strong inducibility, we create a technology to silence gRNA expression within the array in the absence of the inducer, since we found that long gRNA arrays for CRISPRai can express themselves even without promoter. Using this method, we create a highly tuned and easy-to-use CRISPRai toolkit in the industrially relevant yeast, Saccharomyces cerevisiae, establishing the first system to combine simultaneous activation and repression, large multiplexing capacity, and inducibility. We demonstrate this toolkit by targeting 11 genes in central metabolism in a single transformation, achieving a 45-fold increase in succinic acid, which could be precisely controlled in an inducible manner. Our method offers a highly effective way to regulate genes and rewire metabolism in yeast, with principles of gRNA array construction and inducibility that should extend to other chassis organisms.
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spelling pubmed-94116212022-08-27 Inducible expression of large gRNA arrays for multiplexed CRISPRai applications Shaw, William M. Studená, Lucie Roy, Kyler Hapeta, Piotr McCarty, Nicholas S. Graham, Alicia E. Ellis, Tom Ledesma-Amaro, Rodrigo Nat Commun Article CRISPR gene activation and inhibition (CRISPRai) has become a powerful synthetic tool for influencing the expression of native genes for foundational studies, cellular reprograming, and metabolic engineering. Here we develop a method for near leak-free, inducible expression of a polycistronic array containing up to 24 gRNAs from two orthogonal CRISPR/Cas systems to increase CRISPRai multiplexing capacity and target gene flexibility. To achieve strong inducibility, we create a technology to silence gRNA expression within the array in the absence of the inducer, since we found that long gRNA arrays for CRISPRai can express themselves even without promoter. Using this method, we create a highly tuned and easy-to-use CRISPRai toolkit in the industrially relevant yeast, Saccharomyces cerevisiae, establishing the first system to combine simultaneous activation and repression, large multiplexing capacity, and inducibility. We demonstrate this toolkit by targeting 11 genes in central metabolism in a single transformation, achieving a 45-fold increase in succinic acid, which could be precisely controlled in an inducible manner. Our method offers a highly effective way to regulate genes and rewire metabolism in yeast, with principles of gRNA array construction and inducibility that should extend to other chassis organisms. Nature Publishing Group UK 2022-08-25 /pmc/articles/PMC9411621/ /pubmed/36008396 http://dx.doi.org/10.1038/s41467-022-32603-7 Text en © The Author(s) 2022, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Shaw, William M.
Studená, Lucie
Roy, Kyler
Hapeta, Piotr
McCarty, Nicholas S.
Graham, Alicia E.
Ellis, Tom
Ledesma-Amaro, Rodrigo
Inducible expression of large gRNA arrays for multiplexed CRISPRai applications
title Inducible expression of large gRNA arrays for multiplexed CRISPRai applications
title_full Inducible expression of large gRNA arrays for multiplexed CRISPRai applications
title_fullStr Inducible expression of large gRNA arrays for multiplexed CRISPRai applications
title_full_unstemmed Inducible expression of large gRNA arrays for multiplexed CRISPRai applications
title_short Inducible expression of large gRNA arrays for multiplexed CRISPRai applications
title_sort inducible expression of large grna arrays for multiplexed crisprai applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411621/
https://www.ncbi.nlm.nih.gov/pubmed/36008396
http://dx.doi.org/10.1038/s41467-022-32603-7
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