Abstract

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.

CRISPR gene activation and inhibition has become a powerful synthetic tool for influencing the expression of native genes for foundational studies, cellular reprograming, and metabolic engineering. Here the authors demonstrate near leak-free, inducible expression of a polycistronic array containing up to 24 gRNAs from two orthogonal CRISPR/Cas systems.

Details

Title
Inducible expression of large gRNA arrays for multiplexed CRISPRai applications
Author
Shaw, William M. 1 ; Studená, Lucie 1   VIAFID ORCID Logo  ; Roy, Kyler 1 ; Hapeta, Piotr 1 ; McCarty, Nicholas S. 1 ; Graham, Alicia E. 1 ; Ellis, Tom 1   VIAFID ORCID Logo  ; Ledesma-Amaro, Rodrigo 1   VIAFID ORCID Logo 

 Imperial College London, Imperial College Centre for Synthetic Biology, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111); Imperial College London, Department of Bioengineering, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111) 
Pages
4984
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2706509781
Copyright
© The Author(s) 2022. corrected publication 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.