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A Hairless Mouse Model for Vitiligo: Enhancing Preclinical Therapeutic Evaluation

GSE302067 Mus musculus Expression profiling by high throughput sequencing 7 samples Submitted 2025/07/14 Platform GPL34290
Summary
Vitiligo is an autoimmune disease that targets melanocytes, and preclinical models of the disease can strongly promote the development of new treatments. This study introduces a vitiligo model using hairless hk14-SCF Tg mice, whose melanocyte distribution closely mimics human skin, enabling comprehensive therapeutic evaluation. Two methods were used to induce vitiligo: (1) hairless hk14-SCF Tg mice received bone marrow-derived dendritic cells (BMDCs) pulsed with the melanocyte-specific peptide gp100 and CD8+ T cells targeting gp100 (PMEL CD8+ T cells), and (2) hk14-SCF Tg mice were crossbred with PMEL TCR transgenic mice without additional treatment. Skin samples were subsequently analyzed using immunohistochemistry, flow cytometry, bulk RNA sequencing, and cytokine assays, confirming that the mechanisms that drive vitiligo in this model closely resemble those of prior mouse models and vitiligo patients. Various treatments— including ultraviolet irradiation, topical corticosteroids, and a JAK inhibitor—were tested and all significantly reduced vitiligo-affected areas, as verified through objective ImageJ analysis. In conclusion, this model addresses key limitations of previous models, offering a robust platform for preclinical treatment evaluation and potentially accelerating clinical translation.
Published in
A Hairless Mouse Model for Vitiligo: Enhancing Preclinical Therapeutic Evaluation
Okamura K, Arai Y, Kawaguchi J et al. · The Journal of investigative dermatology 2026 · PMID 40701402 · doi:10.1016/j.jid.2025.06.1596
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Direct links to NCBI, no account and no request form: the whole study as GSE302067_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 7 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1288449 and SRA study SRP599168. Searching any of these in the dataset finder brings you back here.

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