4.3 Article

OMIP 071: A 31-Parameter Flow Cytometry Panel for In-Depth Immunophenotyping of Human T-Cell Subsets Using Surface Markers

Journal

CYTOMETRY PART A
Volume 99, Issue 3, Pages 273-277

Publisher

WILEY
DOI: 10.1002/cyto.a.24272

Keywords

human T‐ cell subsets cell surface staining31‐ parameter flow cytometry panelPBMCs

Funding

  1. China Postdoctoral Science Foundation [2018M643095, 2019M650201]
  2. National Natural Science Foundation of China [81801607, 81901652]
  3. Outstanding Scholar Program of Guangzhou Regenerative Medicine and Health Guangdong Laboratory [2018GZR110102001]
  4. Program for Guangdong Introducing Innovative and Enterpreneurial Teams [2017ZT07S054]

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The article introduced a 31-parameter panel for in-depth immunophenotyping of human T-cell subsets, which can be applied in monitoring, prognosis, and mechanistic studies of various immune-related diseases.
Dissecting the functional diversity of T cells is critical in elucidating mechanisms and in developing therapies for various diseases. Here, we designed a 31-parameter (29-color) panel to enable the characterization of T-cell subsets and immunophenotyping of the human peripheral blood and lymph nodes using cell surface staining. In addition to adaptive T-cell markers, TCR V alpha 24-J alpha 18, TCR gamma delta, TCR Valpha7.2, and CD161 were included to identify iNKT, gamma delta T, and MAIT cells, respectively, which are innate-like T cells. C-X-C chemokine receptors (CXCR3, CXCR4, CXCR5, CXCR6) and C-C motif chemokine receptors (CCR4, CCR6, CCR7) were included to enable the identification of Th cell subsets (Th1, Th2, Th17), Tfh cell subsets (Tfh1, Tfh2, Tfh17), and Th cells with specific homing capacities. Furthermore, in this panel, we also used markers for assessing cell differentiation (CD45RO, CD7), activation (CD57, CD95, HLA-DR) and the expression of some cosignaling molecules (PD-1, NKG2D, CD28). Particularly, CD69 and CD103 were included for the further analysis of tissue resident memory T (Trm) cells. This panel would enable the in-depth immunophenotyping of human T-cell subsets, and may be applied in the monitoring, prognosis, and mechanistic studies of various immune-related diseases.

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