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poster

High Throughput Single Cell Analysis Workflow for Accurate Measurement of Genotoxicity Arising from Gene Editing Experiments


Saurabh Gulati

Despite advancements in precise gene editing technologies such as CRISPR-Cas9, TALENs, and ZFNs, the fundamental editing process yields heterogeneous populations where some cells may have undesired outcomes that bear the risk of genome toxicity. Notably, these adverse outcomes include the introduction of structural variants, copy number alterations, or chromosomal translocations. Therefore, the development of efficacious gene therapies hinges on the ability to accurately measure and understand these events. Furthermore, since “cells” are the functional units of gene editing products, it is prudent to measure the co-occurrences of editing results and potential genotoxicity events in a single-cell context. Here, we demonstrate a microfluidics and multiplex PCR based single-cell technology that, in once assay, simultaneously measures the co-occurrence and zygosity of on-target edit, off-target edits, translocations between predicted edit sites, as well as the genomic CNV landscape in over thousands of cells in parallel. This single-cell technology offers a comprehensive view of the heterogeneous editing profile of gene edited products for a proper and fast evaluation of editing outcome and potential malignant events.


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Navigating Heterogeneity in Genome Editing Outcomes Using Single-cell Analysis
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Single-Cell Multi-Omic Correlation of Single Nucleotide Variants, Copy Number Variation, and Surface Epitopes for Clonal Profiling of Myeloma
Adam Sciambi; Indira Krishnan; Ben Geller; Daniel Mendoza; Chenchen Yang; Charlie Murphy; Cedric Dos Santos; Vivek S. Chopra; Habib Hamidi; Michael Nixon; Yann Nouet; Todd Druley; Herve Avet-Loiseau
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Saurabh Gulaiti
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Single-Cell Multi-Omic Correlation of Single Nucleotide Variants, Copy Number Variation, and Surface Epitopes for Clonal Profiling of Myeloma
Adam Sciambi, Cedric Dos Santos, Vivek S. Chopra, Habib Hamidi, Michael Nixon, Yann Nouet, Todd Druley, Herve Avet-Loiseau
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