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Updated: Nov 7, 2025
Visualizing Antigen Specific CD4+ T Cells using MHC Class II Tetramers
Published on: March 6, 2009
Mass Cytometry Analysis of T-Helper Cells
Priyanka B Subrahmanyam1, Holden T Maecker2
1Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA.
Insights
Mass cytometry (CyTOF) enables high-dimensional proteomic analysis of CD4+ T helper cell subsets. This advanced method allows for detailed characterization of Th1, Th2, Th17, and regulatory T cells (Tregs) for immune response studies.
Area of Science:
- Immunology
- Cell Biology
- Proteomics
Background:
- CD4+ T cells, or helper T cells, are crucial for immune responses against pathogens, tumors, and in conditions like asthma, allergy, and autoimmunity.
- Comprehensive investigation of diverse T helper cell subsets is of significant interest to understand their varied roles.
Purpose of the Study:
- To present a mass cytometry (CyTOF) based method for high-dimensional proteomic characterization of CD4+ T helper cell subsets.
- To enable detailed identification and phenotypical/functional analysis of Th1, Th2, Th17, and regulatory T cells (Tregs).
Main Methods:
- Utilized mass cytometry (CyTOF) for simultaneous detection of over 40 markers using metal ion-tagged antibodies.
- Applied an extensive staining panel including lineage, cytokine, and functional markers on ex vivo stimulated human peripheral blood mononuclear cells.
- Identified T helper cell subsets based on characteristic cytokine production (IFNγ for Th1, IL-4 for Th2, IL-17 for Th17) and Treg markers (CD4+CD25+CD127lo).
Main Results:
- Successfully identified and characterized distinct CD4+ T helper cell subsets (Th1, Th2, Th17, Tregs) using CyTOF.
- Collected high-dimensional single-cell proteomic data, allowing for in-depth analysis of T helper cell populations.
- Demonstrated the capability of CyTOF to reveal novel features of T helper cells through automated data analysis.
Conclusions:
- Mass cytometry (CyTOF) is a powerful technique for comprehensive, high-dimensional characterization of T helper cell subsets.
- This method facilitates detailed understanding of T helper cell heterogeneity and function in various immunological contexts.
- Automated analysis of CyTOF data aids in discovering new characteristics of T helper cells.
Abstract:
CD4+ T cells or helper T cells play various roles in the immune response to pathogens, tumors, as well as in asthma, allergy, and autoimmunity. Consequently, there is great interest in the comprehensive investigation of different T helper cell subsets. Here, we use mass cytometry (CyTOF), which is similar to flow cytometry but uses metal ion-tagged antibodies, which are detected using time-of-flight mass spectrometry. CyTOF allows the simultaneous detection of over 40 different antibodies, allowing us to collect high-dimensional single-cell proteomic data on T helper subsets. We use an extensive staining panel with a large number of lineage markers, cytokines, and other functional markers to identify and characterize CD4+ T cell subsets. In this method, human peripheral blood mononuclear cells are stimulated ex vivo with PMA and ionomycin, which activates T cells. The activated CD4+ T cells can then be identified as Th1, Th2, or Th17 cells based on their production of IFNγ, IL-4, and IL-17, respectively. Tregs are identified as CD4+CD25+CD127lo. Once Th1, Th2, Th17, and Tregs have been identified, they can be characterized in more detail using the large number of phenotypic and functional markers included in the CyTOF staining panel. Finally, automated and unbiased high-dimensional data analysis tools can be employed to comprehensively characterize T helper cells and discover novel features.
