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Environmental Comparison - Case Study

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Feb. 6, 2023
Courtesy ofCRISPR QC

Problem: Customer noticed the gRNA selections as predicted by in-silico algorithms didn`t lead to optimal editing outcomes. Sequencing data only told them that the edits didn`t occur, but not why.

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in vitro

Performance of various gRNAs was ranked in relation to their activity in differing pH levels. These graphs compare RNP response of 8 different gRNAs at three different pH levels.

pH was determined to be a causal factor in their editing, something in-silico algorithms couldn`t emulate.

Customer was able to use our in-vitro data to select effective gRNAs. This greatly reduced the amount of cell work needed to produce a repeatable edit.