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Killer-cell immunoglobulin-like receptors define a potent effector program in human γδ T cells
Mahya Razmi, Yeganeh Almasi, Marilee Larrivée, Jonathan B. Angel, Alexandre Blais, Zakia Djaoud
Mahya Razmi, Yeganeh Almasi, Marilee Larrivée, Jonathan B. Angel, Alexandre Blais, Zakia Djaoud
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Research Article Hematology Immunology

Killer-cell immunoglobulin-like receptors define a potent effector program in human γδ T cells

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Abstract

Human γδ T cells are a rare but functionally diverse lymphocyte subset critical for tumor surveillance and antimicrobial immunity. Although they express NK cell–associated receptors such as killer-cell immunoglobulin-like receptors (KIRs), the relevance of KIR expression on γδ T cells remains largely unexplored. Using flow cytometry, ATAC-seq, and RNA-seq, we identified KIR expression as a marker that distinguished 2 functionally and molecularly distinct γδ T cell subsets. KIR+ γδ T cells exhibited an advanced, memory-like differentiation state characterized by heightened cytotoxicity, stable epigenetic remodeling, and a predominant IFN-γ–producing profile. In contrast, KIR– γδ T cells maintained a naive-like phenotype and preferentially produced IL-17 upon polarization. Notably, KIR+ γδ T cells were consistently observed across individuals but were significantly enriched in cytomegalovirus (CMV)-seropositive donors, suggesting that chronic antigenic stimulation could promote the emergence of KIR+ effector γδ T cells. These findings reveal a functional dichotomy in human γδ T cells defined by KIR expression, linking IFN-γ–driven cytotoxicity with KIR+ cells and IL-17 production with KIR– cells. This insight advances our understanding of γδ T cell heterogeneity and has implications for viral immunity, immune memory, and the development of γδ T cell–based immunotherapies.

Authors

Mahya Razmi, Yeganeh Almasi, Marilee Larrivée, Jonathan B. Angel, Alexandre Blais, Zakia Djaoud

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Figure 3

KIR+ γδ T cells have a TEMRA phenotype.

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KIR+ γδ T cells have a TEMRA phenotype.
(A) Representative histogram ove...
(A) Representative histogram overlays (left panel) and corresponding violin plots (right panel) show KIR expression intensity by total γδ T cells from CMV− and CMV+ individuals (n = 56; 35 CMV–, 21 CMV+). (B) Violin plots show the proportions of KIR+ γδ T cells expressing CD27, CD57, and granzyme B in CMV– and CMV+ individuals. Each dot represents an individual donor (n = 56; 22 CMV–, 19 CMV+). Statistical significance of the difference between KIR– and KIR+ cells was assessed using the unpaired 2-tailed t test (*P = 0.01, **P ≤ 0.001, ****P < 0.0001). (C and D) Correlation between KIR and granzyme B (C), and KIR and CD57 (D) expression intensities in γδ T cells (orange) and NK cells (green). Each dot represents an individual donor (n = 41). Expression intensities were measured by flow cytometry. A simple linear regression fit line is shown, and Pearson correlation analysis was used to assess the associations between the indicated parameters. (E) Representative pseudocolor plots (left panel) and the corresponding violin plots (right panel) show the distribution of CD27/CD45RA-defined subsets among KIR– and KIR+ γδ T cells, including naive, central memory (TCM), effector memory (TEM), and terminally differentiated effector memory (TEMRA) populations. Each dot represents an individual donor (n = 40). Samples from CMV+ individuals are shown in red symbols. Statistical significance of the difference between KIR– and KIR+ cells was assessed using the paired 2-tailed t test (***P = 0.0004, ****P < 0.0001).

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