Deep phenotyping ILCs and T cells: A comparative analysis protocol for conventional and spectral flow cytometry

Here, we present a protocol for identifying human innate lymphoid cells (ILCs) and T cells using a 19-plex flow cytometry panel. We describe steps for titrating antibodies, preparing single-stain controls and samples, and staining cells for human peripheral blood and bone marrow samples. We then detail procedures for transferring a flow cytometry panel optimized for conventional cytometry to spectral flow cytometry analysis. This protocol facilitates correlation with murine models, maximizes measurable parameters, resolves complex fluorophore combinations, and increases panel flexibility.

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Publication Details

Journal
STAR Protocols
Published
2026-07-16
DOI
https://doi.org/10.1016/j.xpro.2026.104669
Primary Topic
IL-33, ST2, and ILC Pathways
Type
article
Field-Weighted Citation Impact
0.00

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article

Deep phenotyping ILCs and T cells: A comparative analysis protocol for conventional and spectral flow cytometry

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Deep phenotyping ILCs and T cells: A comparative analysis protocol for conventional and spectral flow cytometry

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article en

Abstract

Here, we present a protocol for identifying human innate lymphoid cells (ILCs) and T cells using a 19-plex flow cytometry panel. We describe steps for titrating antibodies, preparing single-stain controls and samples, and staining cells for human peripheral blood and bone marrow samples. We then detail procedures for transferring a flow cytometry panel optimized for conventional cytometry to spectral flow cytometry analysis. This protocol facilitates correlation with murine models, maximizes measurable parameters, resolves complex fluorophore combinations, and increases panel flexibility.

STAR ProtocolsVol. 7(3)
University of Leeds (GB), St James's University Hospital (GB), Nonwovens Innovation & Research Institute (GB), NIHR Leeds Musculoskeletal Biomedical Research Unit (GB), University of York (GB)
Medical Research Council, Leeds Biomedical Research Centre
Zero hunger
Openalex Percentile: Top 14%
IL-33, ST2, and ILC Pathways
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