Genome editing systems are increasingly used to advance cell therapies, but edited cellular systems need to be thoroughly characterized to fully understand the nature of induced mutations and lower the risk of utilizing genome editing technologies. Both on- and off-target effects must be measured through high-sensitivity detection methods.
Single-cell resolution supports genome editing system optimization by enabling the detection of low-frequency events in as few as 0.1 percent of cells. Furthermore, single-cell data resolves the complexities of mutation zygosity and co-occurrence in genome-editing experiments targeting multiple loci. This technical note demonstrates the Tapestri Platform’s ability to characterize edited cells with single-cell DNA analysis to help optimize genome editing systems.
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