SINGLE-CELL COMBINATORIAL INDEXED CYTOMETRY SEQUENCING

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 asso...

Full description

Saved in:
Bibliographic Details
Main Authors HWANG, Byungjin, YE, Chun, LEE, David Sungjin
Format Patent
LanguageEnglish
French
German
Published 03.04.2024
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary: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.
Bibliography:Application Number: EP20210770536