AI Article Synopsis

  • CRISPR/Cas9 is an advanced gene-editing tool known for its ability to create gene knockouts and targeted knock-ins, but efficiency and precision need improvement for broader practical applications.* -
  • This study introduces a method using flow cytometry (FCM) to easily monitor genome editing events in the L1CAM gene across various human cell lines, allowing for quick detection of L1CAM abrogation.* -
  • The L1CAM-based assay is faster and more sensitive than existing methods for measuring targeted knock-in efficiency, helping researchers refine and enhance genome editing techniques.*

Article Abstract

CRISPR/Cas9 is a powerful genome editing system that has remarkably facilitated gene knockout and targeted knock-in. To accelerate the practical use of CRISPR/Cas9, however, it remains crucial to improve the efficiency, precision, and specificity of genome editing, particularly targeted knock-in, achieved with this system. To improve genome editing efficiency, researchers should first have a molecular assay that allows sensitive monitoring of genome editing events with simple procedures. In the current study, we demonstrate that genome editing events occurring in L1CAM, an X-chromosome gene encoding a cell surface protein, can be readily monitored using flow cytometry (FCM) in multiple human cell lines including neuroblastoma cell lines. The abrogation of L1CAM was efficiently achieved using Cas9 nucleases which disrupt exons encoding the L1CAM extracellular domain, and was easily detected by FCM using anti-L1CAM antibodies. Notably, L1CAM-abrogated cells could be quantified by FCM in four days after transfection with a Cas9 nuclease, which is much faster than an established assay based on the PIGA gene. In addition, the L1CAM-based assay allowed us to measure the efficiency of targeted knock-in (correction of L1CAM mutations) accomplished through different strategies, including a Cas9 nuclease-mediated method, tandem paired nicking, and prime editing. Our L1CAM-based assay using FCM enables rapid and sensitive quantification of genome editing efficiencies and will thereby help researchers improve genome editing technologies.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10635454PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0294146PLOS

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