Single-cell combinatorial indexed cytometry sequencing
AssigneesChan Zuckerberg Biohub, Inc., The Regents of the University of California
InventorsByungjin Hwang, David Sungjin Lee, Chun Ye
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AssigneesChan Zuckerberg Biohub, Inc., The Regents of the University of California
InventorsByungjin Hwang, David Sungjin Lee, Chun Ye
Estimating the term…
The development of DNA-barcoded antibodies to tag cell-surface molecules has enabled the use of droplet-based single cell sequencing (dsc-seq) to profile the surface proteomes of cells. Compared to flow and mass cytometry, the major limitation of current dsc-seq-based workflows is the high cost associated with profiling each cell, thus precluding its use in applications where millions of cells are required. Here, we introduce SCITO-seq, a new workflow that combines combinatorial indexing and commercially available dsc-seq to enable cost-effective cell surface proteomic profiling of greater than 105 cells per microfluidic reaction. We demonstrate SCITO-seq's feasibility and scalability by profiling mixed species cell lines and mixed human T and B lymphocytes. To further demonstrate its applicability, we used SCITO-seq to obtain cellular composition estimates in peripheral blood mononuclear cells across two donors that are reproducible and comparable to those obtained by mass cytometry. SCITO-seq can be extended to include simultaneous profiling of additional modalities such as transcripts and accessible chromatin or tracking of experimental perturbations such as genome edits or extracellular stimuli.
An assay method comprising
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An assay method for determining cell surface protein expression profiles of cells in a population of cells, comprising
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An assay method comprising
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A kit comprising two or more of
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Dependencies are inferred from the claim text.