ArticleScientific reports2018
A surrogate reporter system for multiplexable evaluation of CRISPR/Cas9 in targeted mutagenesis.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Double step screening using endogenous marker improves relative gene targeting efficiency in Arabidopsis.Scientific reports · 2024Article
- Enrichment strategies to enhance genome editing.Journal of biomedical science · 2023Review
- Restoration of Osteogenesis by CRISPR/Cas9 Genome Editing of the MutatedJournal of clinical medicine · 2021Article
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Authors and funding
9 authors.
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Abstract
Engineered nucleases in genome editing manifest diverse efficiencies at different targeted loci. There is therefore a constant need to evaluate the mutation rates at given loci. T7 endonuclease 1 (T7E1) and Surveyor mismatch cleavage assays are the most widely used methods, but they are labour and time consuming, especially when one must address multiple samples in parallel. Here, we report a surrogate system, called UDAR (Universal Donor As Reporter), to evaluate the efficiency of CRISPR/Cas9 in targeted mutagenesis. Based on the non-homologous end-joining (NHEJ)-mediated knock-in strategy, the UDAR-based assay allows us to rapidly evaluate the targeting efficiencies of sgRNAs. With one-step transfection and fluorescence-activated cell sorting (FACS) analysis, the UDAR assay can be completed on a large scale within three days. For detecting mutations generated by the CRISPR/Cas9 system, a significant positive correlation was observed between the results from the UDAR and T7E1 assays. Consistently, the UDAR assay could quantitatively assess bleomycin- or ICRF193-induced double-strand breaks (DSBs), which suggests that this novel strategy is broadly applicable to assessing the DSB-inducing capability of various agents. With the increasing impact of genome editing in biomedical studies, the UDAR method can significantly benefit the evaluation of targeted mutagenesis, especially for high-throughput purposes.
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