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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 1

CMV-serostatus influences KIR expression by γδ T cells.

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CMV-serostatus influences KIR expression by γδ T cells.
(A) Representati...
(A) Representative pseudocolor plots show the frequencies of CD3+ and αβ TCR+ cells within PBMCs (left panel) and within αβ T cell–depleted PBMCs (right panel). Vδ1, Vδ2, and Vδ1/2– subsets are shown in the right panel, within αβ T cell–depleted PBMCs. (B) Violin plots depict Vδ2/Vδ1 ratios within γδ T cells from CMV– and CMV+ individuals. Each dot represents a donor. (C) Representative t-SNE plots show the distribution of Vδ1, Vδ2, and Vδ1/2– subsets (left), and of KIR– and KIR+ cells (right), among γδ T cells in 2 representative CMV– and CMV+ individuals. Vδ1, Vδ2, KIRs, CD56, and CD57 were used as input parameters to generate the t-SNE plots. Vδ1, Vδ2, and Vδ1/2– populations were manually overlaid on the left panel, while KIR expression was overlaid on the right panel. (D–F) Violin plots show the proportions of KIR+ cells among γδ T cells (D), NK cells (E), or γδ T cell subsets (F). (G) A representative pseudocolor plot and histogram show the proportion of Vγ9–Vδ2+ cells within the γδ T cell population and the proportion of KIR+ cells within this subset. (H) Representative pseudocolor plots illustrate the expression of selected KIRs on γδ T cells, including KIR2DL2/L3+, KIR2DL1+, KIR3DS1+, KIR3DL1+, and KIR2DS4+ populations. (I and J) Representative pseudocolor plots (I) and corresponding violin plots (J) compare the frequencies of KIR+NKG2C+ γδ T cells (orange) and KIR+NKG2C+ NK cells (green) in CMV– and CMV+ individuals. Each dot represents an individual donor. The flow cytometry analysis was performed on samples from 35 CMV– and 21 CMV+ individuals (A–E) and 15 CMV– and 15 CMV+ individuals (J). Statistical significance of the difference between CMV– and CMV+ individuals was assessed using the unpaired 2-tailed t test (**P < 0.005, ***P < 0.0008).

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