• Lin Lin and Yonglun Luo.
• Department of Biomedicine, Aarhus University, Aarhus, Denmark.
• Methods Mol. Biol. 2019 Jan 1; 1961: 67-77.

AbstractRapid evaluation of the CRISPR gRNA activity is an essential step of employing the technology in editing genes. Through machine learning strategy, the rule sets for in silico designing gRNAs with high activity has greatly improved. However, there are still discrepancies between different prediction rule sets, and between the predicted and actual gRNA activities. Thus, experimentally validating gRNA activity is still the gold standard in defining the best gRNAs for gene editing experiments. One such approach for experimentally selecting gRNAs with high activity is fluorescent surrogate reporter vectors. We had previously developed a dual-fluorescent surrogate system, called C-Check, which based on single-strand annealing repair of the DNA double-strand breaks introduced by CRISPR-Cas9 to generate a functional EGFP. The system offers a tool for rapid functional evaluation of CRISPR gRNA activity, as well as for enrichment of gene edited cells. In this chapter, we will give a step-by-step instruction on the design, generation, and application of the C-Check system for quantifying gRNA activities.

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