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      Single-Step qPCR and dPCR Detection of Diverse CRISPR-Cas9 Gene Editing Events in Vivo

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          Abstract

          Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-CRISPR-associated protein 9 (Cas9)-based technology is currently the most flexible means to create targeted mutations by recombination or indel mutations by nonhomologous end joining. During mouse transgenesis, recombinant and indel alleles are often pursued simultaneously. Multiple alleles can be formed in each animal to create significant genetic complexity that complicates the CRISPR-Cas9 approach and analysis. Currently, there are no rapid methods to measure the extent of on-site editing with broad mutation sensitivity. In this study, we demonstrate the allelic diversity arising from targeted CRISPR editing in founder mice. Using this DNA sample collection, we validated specific quantitative and digital PCR methods (qPCR and dPCR, respectively) for measuring the frequency of on-target editing in founder mice. We found that locked nucleic acid (LNA) probes combined with an internal reference probe (Drop-Off Assay) provide accurate measurements of editing rates. The Drop-Off LNA Assay also detected on-target CRISPR-Cas9 gene editing in blastocysts with a sensitivity comparable to PCR-clone sequencing. Lastly, we demonstrate that the allele-specific LNA probes used in qPCR competitor assays can accurately detect recombinant mutations in founder mice. In summary, we show that LNA-based qPCR and dPCR assays provide a rapid method for quantifying the extent of on-target genome editing in vivo, testing RNA guides, and detecting recombinant mutations.

          Most cited references15

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          Genome-wide CRISPR screen in a mouse model of tumor growth and metastasis.

          Genetic screens are powerful tools for identifying genes responsible for diverse phenotypes. Here we describe a genome-wide CRISPR/Cas9-mediated loss-of-function screen in tumor growth and metastasis. We mutagenized a non-metastatic mouse cancer cell line using a genome-scale library with 67,405 single-guide RNAs (sgRNAs). The mutant cell pool rapidly generates metastases when transplanted into immunocompromised mice. Enriched sgRNAs in lung metastases and late-stage primary tumors were found to target a small set of genes, suggesting that specific loss-of-function mutations drive tumor growth and metastasis. Individual sgRNAs and a small pool of 624 sgRNAs targeting the top-scoring genes from the primary screen dramatically accelerate metastasis. In all of these experiments, the effect of mutations on primary tumor growth positively correlates with the development of metastases. Our study demonstrates Cas9-based screening as a robust method to systematically assay gene phenotypes in cancer evolution in vivo.
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            Expanding the Biologist's Toolkit with CRISPR-Cas9.

            Few discoveries transform a discipline overnight, but biologists today can manipulate cells in ways never possible before, thanks to a peculiar form of prokaryotic adaptive immunity mediated by clustered regularly interspaced short palindromic repeats (CRISPR). From elegant studies that deciphered how these immune systems function in bacteria, researchers quickly uncovered the technological potential of Cas9, an RNA-guided DNA cleaving enzyme, for genome engineering. Here we highlight the recent explosion in visionary applications of CRISPR-Cas9 that promises to usher in a new era of biological understanding and control.
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              CRISP-ID: decoding CRISPR mediated indels by Sanger sequencing

              The advent of next generation gene editing technologies has revolutionized the fields of genome engineering in allowing the generation of gene knockout models and functional gene analysis. However, the screening of resultant clones remains challenging due to the simultaneous presence of different indels. Here, we present CRISP-ID, a web application which uses a unique algorithm for genotyping up to three alleles from a single Sanger sequencing trace, providing a robust and readily accessible platform to directly identify indels and significantly speed up the characterization of clones.
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                Author and article information

                Journal
                G3 (Bethesda)
                Genetics
                G3: Genes, Genomes, Genetics
                G3: Genes, Genomes, Genetics
                G3: Genes, Genomes, Genetics
                G3: Genes|Genomes|Genetics
                Genetics Society of America
                2160-1836
                31 August 2017
                October 2017
                : 7
                : 10
                : 3533-3542
                Affiliations
                [* ]University of Pittsburgh School of Medicine, Department of Medicine, Division of Cardiology, Center for Metabolism and Mitochondrial Medicine and Vascular Medicine Institute, Pennsylvania 15261
                []Integrated DNA Technologies, Coralville, Iowa 52241
                []University of Pittsburgh School of Medicine, Department of Medicine, Vascular Medicine Institute, Pennsylvania 15261
                [§ ]University of Pittsburgh School of Medicine, Department of Medicine, Division of Endocrinology, Pennsylvania 15261
                [** ]University of Pittsburgh School of Medicine, Department of Immunology, Pennsylvania 15261
                [†† ]University of Pittsburgh School of Medicine, Department of Medicine, Division of Pulmonary, Allergy and Critical Care Medicine, Vascular Medicine Institute, and Department of Bioengineering, Pennsylvania 15261
                Author notes
                [1 ]Corresponding author: University of Pittsburgh School of Medicine, Department of Medicine, Division of Cardiology, Center for Metabolism and Mitochondrial Medicine and Vascular Medicine Institute, 200 Lothrop St. BST E1241, Pittsburgh, PA 15261. E-mail: bkauf@ 123456pitt.edu
                Article
                GGG_300123
                10.1534/g3.117.300123
                5633400
                28860183
                eb21c63c-0667-42c7-ba39-e8e4e7ba0f8e
                Copyright © 2017 Falabella et al.

                This is an open-access article 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 the original work is properly cited.

                History
                : 01 January 2017
                : 28 August 2017
                Page count
                Figures: 7, Tables: 0, Equations: 0, References: 25, Pages: 10
                Categories
                Investigations

                Genetics
                Genetics

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