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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 4

Epigenetic and transcriptomic profiling of γδ T cells reveals a KIR associated divergence.

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Epigenetic and transcriptomic profiling of γδ T cells reveals a KIR asso...
(A) Heatmap of differentially accessible regions (DARs) identified by ATAC-seq between KIR+ and KIR– γδ T cells. Sex, cell type (KIR– versus KIR+), and dominant subsets are provided. Rows (regions of differential accessibility) were ordered by hierarchical clustering. (B) Volcano plot of differential DNA accessibility in KIR+ and KIR– γδ T cells. Genomic windows with significantly different accessibility and located near genes of interest are labeled with the symbol and colored based on the γδ T cell subset showing higher accessibility. (C) Heatmap of gene expression differences between KIR+ and KIR– γδ T cells, organized as in A. (D) Volcano plot of differences in gene expression between KIR+ and KIR– γδ T cells. Select genes are labeled and colored by the direction of expression difference. (E) Results of gene set enrichment analysis using MSigDB Gene Ontology, Reactome and “Hallmark” gene sets. Only selected sets are shown. Node size is proportional to the number of genes contributing to the “core enrichment” of each set, while the adjusted P value (P < 0.05) is encoded by color. Samples from 6 individuals were used for both ATAC-seq and RNA-seq analysis.

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