Single-Cell Proteomics Study of Immune Cell Diversity by Quantitating 465 Proteins
Yang, L.; Liu, J.; Reddy, R.; Wang, J.
Show abstract
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.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A Mem-dELISA platform for dual color and ultrasensitive digital detection of colocalized proteins on extracellular vesicles 96%
- Synthetic Nanobody-Functionalized Nanoparticles for Accelerated Development of Rapid, Accessible Detection of Viral Antigens 95%
- Combinatorial perturbation sequencing on single cells using microwell-based droplet random pairing 95%
Similar papers in this journal
- Multiplexed protein detection and parallel binding kinetics analysis with label-free digital single-molecule counting 95%
- Droplet array-based platform for parallel optical analysis of dynamic extracellular vesicle secretion from single cells 94%
- Localized cell-surface sampling of a secreted factor using cell-targeting beads 94%
Similar papers in this journal
- Real-time respiration changes as a viability indicator for rapid antibiotic susceptibility testing in a microfluidic chamber array 94%
- HologLev: Hybrid Magnetic Levitation Platform Integrated with Lensless Holographic Microscopy for Density-Based Cell Analysis 94%
- Extracellular Vesicle Antibody Microarray for Multiplexed Inner and Outer Protein Analysis 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.