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Published on: March 5, 2019
Deep phenotyping ILCs and T cells: A comparative analysis protocol for conventional and spectral flow cytometry
Jadie Acklam1, Sukhveer K Mann2, Karen G Hogg2
1Centre for Blood Research, York Biomedical Research Institute, Department of Biology, University of York, Heslington, York YO10 5DD, UK; NIHR, Leeds-York Biomedical Research Centre, Leeds, UK.
STAR Protocols
|July 17, 2026
Summary
This study details a 19-plex flow cytometry protocol for identifying innate lymphoid cells (ILCs) and T cells in human samples. The method enhances analysis flexibility and correlation with mouse models.
Area of Science:
- Immunology
- Cell Biology
Background:
- Innate lymphoid cells (ILCs) and T cells are crucial immune components.
- Accurate identification and characterization of these cells are vital for immunological research.
- Existing flow cytometry methods may have limitations in multiplexing and cross-species correlation.
Purpose of the Study:
- To present a detailed protocol for identifying human innate lymphoid cells (ILCs) and T cells.
- To adapt a flow cytometry panel for spectral flow cytometry analysis.
- To improve the flexibility and correlative potential of flow cytometry panels for immunological studies.
Main Methods:
- Development of a 19-plex flow cytometry panel for human peripheral blood and bone marrow.
- Optimization of antibody titration and single-stain controls.
- Adaptation of the panel for spectral flow cytometry, including detailed transfer procedures.
Main Results:
- Successful identification of human ILCs and T cells using the 19-plex panel.
- Demonstration of effective transfer from conventional to spectral flow cytometry.
- Enhanced ability to resolve complex fluorophore combinations and increase panel flexibility.
Conclusions:
- The presented protocol provides a robust method for high-parameter analysis of human ILCs and T cells.
- This approach facilitates better correlation between human studies and murine models.
- The protocol increases the utility and adaptability of flow cytometry in immunological research.
