RT Journal Article
SR Electronic
T1 Single-Cell Proteomics Study of Immune Cell Diversity by Quantitating 465 Proteins
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2022.01.07.475463
DO 10.1101/2022.01.07.475463
A1 Liwei Yang
A1 Jesse Liu
A1 Revanth Reddy
A1 Jun Wang
YR 2022
UL http://biorxiv.org/content/early/2022/01/10/2022.01.07.475463.abstract
AB The identification and characterization of T cell subpopulations is critical to reveal cell development throughout life and immune responses to environmental factors. Next-generation sequencing technologies have dramatically advanced the single-cell genomics and transcriptomics for T cell classification. However, gene expression is often not correlated with protein expression, and immunotyping is mostly accepted in the protein format. Current single-cell proteomics technologies are either limited in multiplex capacity or not sensitive enough to detect the critical functional proteins. Herein we present a cyclic multiplex in situ tagging (Cyclic MIST) technology to simultaneously measure 465 proteins, a scale of >10 times than similar technologies, in single cells. Such a high multiplexity is achieved by reiterative staining of the single cells coupled with a MIST array for detection. This technology has been thoroughly validated through comparison with flow cytometry and fluorescence immunostaining techniques. Both THP1 and CD4+ T cells are analyzed by the Cyclic MIST technology, and over 300 surface markers have been profiled to classify the subpopulations. This represents the most comprehensive mapping of the diversity of immune cells at the protein level. With additional information from intracellular proteins of the same single cells, our technology can potentially facilitate mechanistic studies of immune responses, particularly cytokine storm that results in sepsis.Competing Interest StatementThe authors have declared no competing interest.