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CASE STUDIES

CRISPR Analytics Platform

NGS and Sanger sequencing are commonly used to evaluate editing, but do not often correlate to cell-editing outcomes or provide information on why an edit was a success or failure. 

This is where CRISPR QC steps in: Our CRISPR Analytics platform simulates gene editing activity in real time - providing insights and data behind key factors driving editing success: cleavage activity, RNP stability, gRNA competition in multiplex editing environments, and more. 

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Case Study:
gRNA Selection

PROBLEM

Established In-silico models failed to accurately predict outcomes - costing the customer weeks of lost work.

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DATA

Comparative analysis of gRNA activity to identify highest-performing candidates; gRNA#39 demonstrated a clear separation from control

CONCLUSION

In this study, gRNA#39 showed the strongest performance and should be selected as the primary gRNA candidate

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CUSTOMER OUTCOME

CRISPR QC identified the highest-performing gRNAs using our unique data, enabling them to achieve their desired gene edit.

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Case Study:
Environmental Comparison

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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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.

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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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Case Study:
Multiplex Displacement

PROBLEM

Customer facing challenges getting desired multiplex editing result, and wanted to investigate the cause.

DATA

CRISPR-Chip analysis was used to characterize the binding kinetics of different gRNAs to Cas.

CONCLUSION

CRISPR QC determined how different gRNAs compete for Cas binding sites. In this study, gRNA #5 proved to be the fastest displacer.

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CUSTOMER OUTCOME

 Insight provided by CRISPR QC has given the customer new factors to optimize their multiplex editing.

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Case Study:
Cas Vendor Comparison

PROBLEM

Customer wanted to vet Cas9 vendors ahead of setting up a CRISPR editing program.

DATA

CRISPR QC ran analysis on the activity between the chosen vendors and between batches from each.

CONCLUSION

Vendor 1 showed the most consistent performance and was recommended as the supplier for customer editing.

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CUSTOMER OUTCOME

Customer has been able to reduce variability in their outcomes by integrating regular Cas activity QC into their editing workflow.

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