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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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Single-cell Multi-omics Analysis Reveals Differential Lineage-specific Vector Copy Number Distribution in CAR-T Cell Products
Yilong Yang; Saurabh Parikh; Khushali Patel; Qawer Ayaz; Lindsey Murphy; Amanda Winters; Terry J. Fry; Mahir Mohiuddin; Hua-Jun He; John Elliott; Benjamin Schroeder; Shu Wang; Chieh-Yuan (Alex) Li
poster
High Throughput Single-cell Assessment of Genome Integrity and Toxicity Events Associated With Edited Cells
Chieh-Yuan (Alex) Li; Saurabh Parikh; Saurabh Gulati; Donjo Ban; Nechama Kalter; Michael Rosenburg; Qawer Ayaz; Joanne Nguyen; Benjamin Miltz; Yang Li1; Madhumita Shrikhande; Edward Szekeres; Ayal Hendel; Benjamin Schroeder; Shu Wang
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Single-cell Multiomic Clonal Tracking in Myeloma Identifies SMM Clones that Progress to MM and Low-Frequency MM Clones with Resistance Features Enabling More Precise Application of Targeted Therapies
Adam Sciambi
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A novel single-cell measurable residual disease (scMRD) assay for simultaneous DNA mutation and surface immunophenotype profiling
Holly Tillson
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