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Updated: Nov 2, 2025

Isolation of Tonsillar Mononuclear Cells to Study Ex Vivo Innate Immune Responses in a Human Mucosal Lymphoid Tissue
Published on: June 14, 2020
Defining T Cell Subsets in Human Tonsils Using ChipCytometry
Joachim P Hagel1, Kyle Bennett2, Francesca Buffa3
1Peter Medawar Building for Pathogen Research, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom; paul.klenerman@medawar.ox.ac.uk joachim.hagel@ndm.ox.ac.uk.
Insights
ChipCytometry enables detailed analysis of immune cells in both tissue and single-cell suspensions. This multiplex imaging method successfully identified rare T cell subsets and characterized follicular T helper cells in human tonsils.
Area of Science:
- Immunology
- Cell Biology
- Biotechnology
Background:
- Multiplex imaging techniques are crucial for high-dimensional single-cell analysis.
- ChipCytometry allows iterative staining and photobleaching for multi-marker detection on a single sample.
- Understanding immune cell subsets in tissues and suspensions is vital for disease research.
Purpose of the Study:
- To evaluate ChipCytometry's feasibility for identifying and phenotyping immune cell subsets, including rare types.
- To analyze immune cell architecture in human palatine tonsils using ChipCytometry on tissue sections.
- To dissect human tonsillar T cell subsets from single-cell suspensions using ChipCytometry.
Main Methods:
- Applied ChipCytometry to human palatine tonsil tissue sections for spatial analysis.
- Utilized ChipCytometry on single-cell suspensions from human tonsils for detailed phenotyping.
- Employed unsupervised clustering and supervised manual gating for T cell subset analysis.
Main Results:
- Successfully mapped human tonsil architecture, identifying B and T cell zones and subcompartments.
- Characterized intrafollicular PD1-expressing CD4+ T cells and identified rare mucosal-associated invariant T (MAIT) and γδ-T cells in tonsil tissue.
- Differentiated follicular Th cells and pre-follicular Th cells within PD1+CD4+ T cells and confirmed MAIT cell phenotype in single-cell suspensions.
Conclusions:
- ChipCytometry is a viable method for analyzing single-cell suspensions, providing detailed immune cell phenotyping.
- ChipCytometry allows for spatial context analysis of immune cells within tissue sections.
- This technique offers a powerful approach for dissecting complex immune cell populations in both spatial and non-spatial formats.
Abstract:
ChipCytometry is a multiplex imaging method that can be used to analyze either cell suspensions or tissue sections. Images are acquired by iterative cycles of immunostaining with fluorescently labeled Abs, followed by photobleaching, which allows the accumulation of multiple markers on a single sample. In this study, we explored the feasibility of using ChipCytometry to identify and phenotype cell subsets, including rare cell types, using a combination of tissue sections and single-cell suspensions. Using ChipCytometry of tissue sections, we successfully demonstrated the architecture of human palatine tonsils, including the B and T cell zones, and characterized subcompartments such as the B cell mantle and germinal center zone, as well as intrafollicular PD1-expressing CD4+ T cells. Additionally, we were able to identify the rare tonsillar T cell subsets, mucosal-associated invariant T (MAIT) and γδ-T cells, within tonsil tissue. Using single-cell suspension ChipCytometry, we further dissected human tonsillar T cell subsets via unsupervised clustering analysis as well as supervised traditional manual gating. We were able to show that PD1+CD4+ T cells are comprised of CXCR5+BCL6high follicular Th cells and CXCR5-BCL6mid pre-follicular Th cells. Both supervised and unsupervised analysis approaches identified MAIT cells in single-cell suspensions, confirming a phenotype similar to that of blood-derived MAIT cells. In this study, we demonstrate that ChipCytometry is a viable method for single-cell suspension cytometry and analysis, with the additional benefit of allowing phenotyping in a spatial context using tissue sections.
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