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Correction of a CD55 Mutation to Quantify the Efficiency of Targeted Knock-in Via Flow Cytometry

Overview
Journal Mol Biol Rep
Specialty Molecular Biology
Date 2022 Apr 14
PMID 35420385
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Abstract

Background: Targeted knock-in assisted by the CRISPR/Cas9 system is an advanced technology with promising applications in various research fields including medical and agricultural sciences. However, improvements in the efficiency, precision, and specificity of targeted knock-in are prerequisites to facilitate the practical application of this technology. To improve the efficiency of targeted knock-in, it is necessary to have a molecular system that allows sensitive monitoring of targeted knock-in events with simple procedures.

Methods And Results: We developed an assay, named CD55 correction assay, with which to monitor CD55 gene correction accomplished by targeted knock-in. To create the reporter clones used in this assay, we initially introduced a 7.7-kb heterozygous deletion covering CD55 exons 2-5, and then incorporated a truncating mutation within exon 4 of the remaining CD55 allele in human cell lines. The resultant reporter clones that lost the CD55 protein on the cell membrane were next transfected with Cas9 constructs along with a donor plasmid carrying wild-type CD55 exon 4. The cells were subsequently stained with fluorescence-labeled CD55 antibody and analyzed by flow cytometry to detect CD55-positive cells. These procedures allow high-throughput, quantitative detection of targeted gene correction events occurring in an endogenous human gene.

Conclusions: The current study demonstrated the utility of the CD55 correction assay to sensitively quantify the efficiency of targeted knock-in. When used with the PIGA correction assay, the CD55 correction assay will help accurately determine the efficiency of targeted knock-in, precluding possible experimental biases caused by cell line-specific and locus-specific factors.

Citing Articles

Flow cytometry-based quantification of genome editing efficiency in human cell lines using the L1CAM gene.

Hasan M, Hyodo T, Biswas M, Rahman M, Mihara Y, Karnan S PLoS One. 2023; 18(11):e0294146.

PMID: 37943774 PMC: 10635454. DOI: 10.1371/journal.pone.0294146.

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