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      CRISPR-RNAa: targeted activation of translation using dCas13 fusions to translation initiation factors

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          Abstract

          Tools for synthetically controlling gene expression are a cornerstone of genetic engineering. CRISPRi and CRISPRa technologies have been applied extensively for programmable modulation of gene transcription, but there are few such tools for targeted modulation of protein translation rates. Here, we employ CRISPR-Cas13 as a programmable activator of translation. We develop a novel variant of the catalytically-deactivated Cas13d enzyme dCasRx by fusing it to translation initiation factor IF3. We demonstrate dCasRx-IF3’s ability to enhance expression 21.3-fold above dCasRx when both are targeted to the start of the 5′ untranslated region of mRNA encoding red fluorescent protein in Escherichia coli. Activation of translation is location-dependent, and we show dCasRx-IF3 represses translation when targeted to the ribosomal binding site, rather than enhancing it. We provide evidence that dCasRx-IF3 targeting enhances mRNA stability relative to dCasRx, providing mechanistic insights into how this new tool functions to enhance gene expression. We also demonstrate targeted upregulation of native LacZ 2.6-fold, showing dCasRx-IF3’s ability to enhance expression of endogenous genes. dCasRx-IF3 requires no additional host modification to influence gene expression. This work outlines a novel approach, CRISPR-RNAa, for post-transcriptional control of translation to activate gene expression.

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          Most cited references86

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          A programmable dual-RNA-guided DNA endonuclease in adaptive bacterial immunity.

          Clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated (Cas) systems provide bacteria and archaea with adaptive immunity against viruses and plasmids by using CRISPR RNAs (crRNAs) to guide the silencing of invading nucleic acids. We show here that in a subset of these systems, the mature crRNA that is base-paired to trans-activating crRNA (tracrRNA) forms a two-RNA structure that directs the CRISPR-associated protein Cas9 to introduce double-stranded (ds) breaks in target DNA. At sites complementary to the crRNA-guide sequence, the Cas9 HNH nuclease domain cleaves the complementary strand, whereas the Cas9 RuvC-like domain cleaves the noncomplementary strand. The dual-tracrRNA:crRNA, when engineered as a single RNA chimera, also directs sequence-specific Cas9 dsDNA cleavage. Our study reveals a family of endonucleases that use dual-RNAs for site-specific DNA cleavage and highlights the potential to exploit the system for RNA-programmable genome editing.
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            Genome engineering using the CRISPR-Cas9 system.

            Targeted nucleases are powerful tools for mediating genome alteration with high precision. The RNA-guided Cas9 nuclease from the microbial clustered regularly interspaced short palindromic repeats (CRISPR) adaptive immune system can be used to facilitate efficient genome engineering in eukaryotic cells by simply specifying a 20-nt targeting sequence within its guide RNA. Here we describe a set of tools for Cas9-mediated genome editing via nonhomologous end joining (NHEJ) or homology-directed repair (HDR) in mammalian cells, as well as generation of modified cell lines for downstream functional studies. To minimize off-target cleavage, we further describe a double-nicking strategy using the Cas9 nickase mutant with paired guide RNAs. This protocol provides experimentally derived guidelines for the selection of target sites, evaluation of cleavage efficiency and analysis of off-target activity. Beginning with target design, gene modifications can be achieved within as little as 1-2 weeks, and modified clonal cell lines can be derived within 2-3 weeks.
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              Repurposing CRISPR as an RNA-guided platform for sequence-specific control of gene expression.

              Targeted gene regulation on a genome-wide scale is a powerful strategy for interrogating, perturbing, and engineering cellular systems. Here, we develop a method for controlling gene expression based on Cas9, an RNA-guided DNA endonuclease from a type II CRISPR system. We show that a catalytically dead Cas9 lacking endonuclease activity, when coexpressed with a guide RNA, generates a DNA recognition complex that can specifically interfere with transcriptional elongation, RNA polymerase binding, or transcription factor binding. This system, which we call CRISPR interference (CRISPRi), can efficiently repress expression of targeted genes in Escherichia coli, with no detectable off-target effects. CRISPRi can be used to repress multiple target genes simultaneously, and its effects are reversible. We also show evidence that the system can be adapted for gene repression in mammalian cells. This RNA-guided DNA recognition platform provides a simple approach for selectively perturbing gene expression on a genome-wide scale. Copyright © 2013 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                26 August 2022
                11 August 2022
                11 August 2022
                : 50
                : 15
                : 8986-8998
                Affiliations
                Biomanufacturing and Biomaterials Department, Sandia National Laboratories , Livermore, CA, USA
                Deconstruction Division, Joint BioEnergy Institute, Lawrence Berkeley National Laboratory , Emeryville, CA, USA
                Agile BioFoundry, Department of Energy , Emeryville, CA, USA
                Innovative Genomics Institute, University of California , Berkeley, CA, USA
                Department of Molecular and Cell Biology, University of California , Berkeley, CA, USA
                Innovative Genomics Institute, University of California , Berkeley, CA, USA
                Department of Molecular and Cell Biology, University of California , Berkeley, CA, USA
                California Institute for Quantitative Biosciences, University of California , Berkeley, CA, USA
                Department of Chemistry, University of California , Berkeley, CA, USA
                Howard Hughes Medical Institute, University of California , Berkeley, CA, USA
                Molecular Biophysics & Integrated Bioimaging Division, Lawrence Berkeley National Laboratory , Berkeley, CA, USA
                Gladstone Institutes, University of California , San Francisco, CA, USA
                Systems Biology Department, Sandia National Laboratories , Livermore, CA, USA
                Author notes
                To whom correspondence should be addressed. Tel: +1 925 294 2955; Fax: +1 925 294 3020; Email: jsschoe@ 123456sandia.gov
                Correspondence may also be addressed to Peter Otoupal. Email: peter.otoupal@ 123456colorado.edu
                Author information
                https://orcid.org/0000-0001-9871-3444
                https://orcid.org/0000-0002-2948-2846
                Article
                gkac680
                10.1093/nar/gkac680
                9410913
                35950485
                569cf0d2-07f0-4024-93c6-deb196c3ea38
                © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 05 August 2022
                : 19 July 2022
                : 17 March 2022
                Page count
                Pages: 13
                Funding
                Funded by: Genomic Science Program, Office of Biological and Environmental Research;
                Funded by: U.S. Department of Energy, DOI 10.13039/100000015;
                Award ID: DE-NA-0003525
                Categories
                AcademicSubjects/SCI00010
                Synthetic Biology and Bioengineering

                Genetics
                Genetics

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