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Single-cell transcriptional analysis reveals allergen-specific signatures in human γδ T cells
Kendall Kearns, … , Alessandro Sette, Ricardo Da Silva Antunes
Kendall Kearns, … , Alessandro Sette, Ricardo Da Silva Antunes
Published April 17, 2025
Citation Information: JCI Insight. 2025;10(11):e191359. https://doi.org/10.1172/jci.insight.191359.
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Research Article Cell biology Immunology

Single-cell transcriptional analysis reveals allergen-specific signatures in human γδ T cells

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Abstract

The role of gamma-delta T (γδ T) cells in immune responses to common allergens is poorly understood. Here, we utilized single-cell (sc) transcriptomic analysis of allergen-reactive γδ T cells in humans to characterize the transcriptional landscapes and TCR repertoires in response to cockroach (CR) and mouse (MO) allergens. Using a potentially novel activation-induced marker (AIM) assay that allows detection of γδ T cells combined with scRNA sequencing and TCR repertoire analysis, we identified both shared and allergen-specific γδ T cell activation patterns and gene expression profiles. While CR extract activated both Vδ1 and Vδ2 subsets, MO extract primarily stimulated Vδ2 cells. Our analysis revealed allergen-specific clusters with distinct functional signatures, including enhanced inflammatory responses and cytotoxic effector functions in MO-specific γδ T cells and natural killer cell–mediated immunity and IFN-γ signaling in CR-specific populations. Comparison of allergic and nonallergic individuals highlighted differences in gene expression and TCR repertoires, including a higher IFNG expression in the CR-allergic compared with nonallergic cohorts, suggesting that phenotypic and functional differences are associated with γδ T allergen responses. This study provides insights into the cellular and molecular heterogeneity and functionality of allergen-reactive γδ T cells, offering a foundation for understanding their role in allergic diseases and potential therapeutic interventions.

Authors

Kendall Kearns, Sloan A. Lewis, Esther Dawen Yu, Adam Abawi, Eric Wang, Synaida Maiche, Monalisa Mondal, Pandurangan Vijayanand, Grégory Seumois, Bjoern Peters, Alessandro Sette, Ricardo Da Silva Antunes

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Figure 2

Stimulation with allergen drives clustering of scRNA-sequencing data.

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Stimulation with allergen drives clustering of scRNA-sequencing data.
(A...
(A) Uniform manifold approximation and projection (UMAP) visualizations of scRNA-sequencing data colored by cluster (left), stimulation (top right), or allergic-stimulation condition (bottom right). (B) Proportion of each cluster attributable to CR-, MO-, or HDMAPP-stimulated samples. (C) UMAP visualizations of TRDV1 (top) or TRDV2 (bottom) expression. (D and E) Graphs show the percentage of cells from each stimulus found in each cluster and the attribution of antigen specificity to each individual cluster. Kruskal-Wallis test with Dunn’s multiple comparisons test was performed to determine if significantly more cells from 1 stimulus were present in each cluster compared with the other stimuli, thus allowing us to identify stimulus-specific clusters. P < 0.05 was considered statistically significant.

Copyright © 2025 American Society for Clinical Investigation
ISSN 2379-3708

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