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poster

Multimodal Analysis of DNA and Proteins in Single Cells


Prithvi Singh, Dalia Dhingra, Saurabh Parikh, Adam Sciambi, Aik Ooi

Cancer is a disease driven by genomic mutation and selection. While the advent of next generation sequencing has revolutionized genomic analysis, the data obtained from bulk sequencing do not represent the heterogeneity in cancer. Single-cell RNA sequencing has advanced the knowledge of cellular heterogeneity, but this method is limited to the analysis of transcriptomes. As proteins are the key functional machinery of cells, capturing the differential protein expression from cell to cell would benefit the study of cancer biology. Multimodal approaches such as CITE-seq only partially address this problem by allowing simultaneous analysis of transcriptome and surface proteins, but not intracellular proteins that play vital roles in cellular functions. Additionally, these methods do not directly analyze DNA, hence do not provide a readout of genotypic information such as single-nucleotide variants (SNVs) and copy number variations (CNVs).

In this poster we describe a technology to overcome these hurdles. Using a novel workflow, cells treated with barcoded antibodies are encapsulated in droplets using the Mission Bio Tapestri Platform and subsequently processed to obtain DNA and protein information from the same single cells.


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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
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