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Defining Cell Type-specific Immune Responses in a Mouse Model of Allergic Contact Dermatitis by Single-cell Transcriptomics

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Journal Elife
Specialty Biology
Date 2024 Aug 30
PMID 39213029
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Abstract

Allergic contact dermatitis (ACD), a prevalent inflammatory skin disease, is elicited upon repeated skin contact with protein-reactive chemicals through a complex and poorly characterized cellular network between immune cells and skin resident cells. Here, single-cell transcriptomic analysis of the murine hapten-elicited model of ACD reveals that upon elicitation of ACD, infiltrated CD4 or CD8 lymphocytes were primarily the IFNγ-producing type 1 central memory phenotype. In contrast, type 2 cytokines (IL4 and IL13) were dominantly expressed by basophils, IL17A was primarily expressed by δγ T cells, and IL1β was identified as the primary cytokine expressed by activated neutrophils/monocytes and macrophages. Furthermore, analysis of skin resident cells identified a sub-cluster of dermal fibroblasts with preadipocyte signature as a prominent target for IFNγ lymphocytes and dermal source for key T cell chemokines CXCL9/10. IFNγ treatment shifted dermal fibroblasts from collagen-producing to CXCL9/10-producing, which promoted T cell polarization toward the type-1 phenotype through a CXCR3-dependent mechanism. Furthermore, targeted deletion of in dermal fibroblasts in mice reduced expression, dermal infiltration of CD8 T cell, and alleviated ACD inflammation in mice. Finally, we showed that IFNγ CD8 T cells and CXCL10-producing dermal fibroblasts co-enriched in the dermis of human ACD skin. Together, our results define the cell type-specific immune responses in ACD, and recognize an indispensable role of dermal fibroblasts in shaping the development of type-1 skin inflammation through the IFNGR-CXCR3 signaling circuit during ACD pathogenesis.

Citing Articles

Defining cell type-specific immune responses in a mouse model of allergic contact dermatitis by single-cell transcriptomics.

Liu Y, Yin M, Mao X, Wu S, Wei S, Heng S Elife. 2024; 13.

PMID: 39213029 PMC: 11364439. DOI: 10.7554/eLife.94698.

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