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Analytical methods to identify tumor heterogeneity and rare subclones in single-cell DNA sequencing data from targeted panels

Manimozhi Manivannan

High-throughput single-cell DNA sequencing is essential to assess genetic variations in rare cells and better understand the role they play in the evolution of tumor progression. To address these challenges and enable the characterization of genetic diversity in cancer cell populations, we developed a novel approach to identify mutation signatures, which define subclones present in tumor populations.

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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

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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

Analytical methods to identify tumor heterogeneity and rare subclones in single-cell DNA sequencing data from targeted panels

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