Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
X
X
poster

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

Chimeric antigen receptor T-Cell (CAR-T) immuno-therapies have been transformative solutions to treat cancer patients. As most CAR-T therapies rely on the introduction of CAR into host cells using lentiviral vectors followed by re-introducing the modified T-cell back into patients, the quality of CAR-T is extensively regulated. Key safety and efficacy attributes such as transduction efficiency and transgene copy number, or viral vector copy number (VCN), needs to be accurately measured. Yet conventional methods for measuring gene transfer lack the resolution and representation to truly reflect sample composition and either report a population average (bulk) or involve laborious and time-consuming clonal outgrowth.

Mission Bio has developed an end-to-end solution from panel design to data analysis for single-cell targeted DNA sequencing to interrogate transgenes. We applied this single-cell protein + DNA multi-omic VCN workflow to analyze a bi-cistronic CD19 and CD22 CAR-T product. Our VCN analysis confirmed the distribution of VCN in the product closely adhered to the expected Poisson distribution throughout the expansion, suggesting a low risk of biased functional clonal expansion favoring cells with high VCN. Additionally, we quantitatively measured surface protein expression for lineage assignment. This revealed differential transduction percentages and VCN distribution patterns across cell lineages (e.g., CD4+ and CD8+ T cells), providing insights into factors potentially influencing treatment outcomes.


VIEW
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
poster
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
poster
A novel single-cell measurable residual disease (scMRD) assay for simultaneous DNA mutation and surface immunophenotype profiling
Holly Tillson
poster
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
REQUEST QUOTE