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In vitro CRISPR-Cas Cleavage Assays Streamline Gene Editing Workflows

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.

Data

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.

Conclusion

pH was determined to be a causal factor in their editing, something in-silico algorithms couldn’t emulate.

Customer Outcome

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.

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info@crisprqc.com

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San Diego, CA 92121, USA