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poster

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

Using cryopreserved, human multiple myeloma (MM) patient samples processed on the Mission Bio Tapestri single-cell platform, subclones were simultaneously analyzed for single nucleotide variants (SNV), copy number variants (CNV), clonotypes, and surface protein expression. We show here complex clonal evolution of MM in two patient samples as copy gains and losses were sequentially acquired and correlated with expression changes of MM heme/therapeutic markers. This high-resolution, single cell assay offers a potential new modality for the diagnosis and surveillance of patients with suspected MGUS, SGUS or high-risk MM. We have demonstrated exceptional results from cryopreserved human specimens, as well as the ability to use genetic lesion profiling to positively identify subclonal MM and correlate cell surface protein expression of potential therapeutic targets with each clonal population.


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Decoding the mosaicism of genome editing with single-cell multi-omics analysis
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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A Multiomic, Single-Cell Measurable Residual Disease (scMRD) Assay For Phasing DNA Mutations and Surface Immunophenotypes
Charlie Murphy
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