ArticleJCI insight2020
A transcriptomic map of murine and human alopecia areata.
Article in JCI insight, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
18 citing papers in PubMed, 27 citations in OpenAlex.
- The Possible Role of Antibodies in Alopecia: A Narrative Review.Antibodies (Basel, Switzerland) · 2026Review
- Case Reports of Alopecia Areata Associated With Apical Periodontitis.Case reports in dentistry · 2026Article
- TScience advances · 2025Article
- Dermal T cell immunity and key regulatory signaling pathways: Implications in immune-mediated alopecia and hair regeneration.Genes & diseases · 2025Review
- Single-cell analysis of temporal immune cell dynamics in alopecia areata reveals a causal role for clonally expanded CD8Cell reports · 2025Article
- Epidermal γδ T cells, CD8 T cells and macrophages are increased in number in alopecia areata and express BST2 as part of an interferon-driven antiviral gene signature.bioRxiv : the preprint server for biology · 2025Article
- Pathophysiology of Alopecia Areata in the Pediatric Patient.Pediatric dermatology · 2025Review
- Humanized CXCL12 antibody delays onset and modulates immune response in alopecia areata mice: insights from single-cell RNA sequencing.Frontiers in immunology · 2024Article
- Distinct use of super-enhancer elements controls cell type-specific CD25 transcription and function.Science immunology · 2023Article
- Integrated single-cell chromatin and transcriptomic analyses of human scalp identify gene-regulatory programs and critical cell types for hair and skin diseases.Nature genetics · 2023Article
- A virtual memory CD8Nature immunology · 2023Article
- Functional interrogation of lymphocyte subsets in alopecia areata using single-cell RNA sequencing.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Recent advances in the genetics of alopecia areata.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2023Article
- The current state of knowledge of the immune ecosystem in alopecia areata.Autoimmunity reviews · 2022Review
- Immunopathology and Immunotherapy of Inflammatory Skin Diseases.Immune network · 2022Review
- Characterization of the Genomic and Immunologic Diversity of Malignant Brain Tumors through Multisector Analysis.Cancer discovery · 2022Article
- Autoantigen Discovery in the Hair Loss Disorder, Alopecia Areata: Implication of Post-Translational Modifications.Frontiers in immunology · 2022Review
- Applications of Single-Cell Sequencing in Dermatology.Medical science monitor : international medical journal of experimental and clinical research · 2021Review
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
Alopecia areata (AA) is a common autoimmune condition, presenting initially with loss of hair without other overt skin changes. The unremarkable appearance of the skin surface contrasts with the complex immune activity occurring at the hair follicle. AA pathogenesis is due to the loss of immune privilege of the hair follicle, leading to autoimmune attack. Although the literature has focused on CD8+ T cells, vital roles for CD4+ T cells and antigen-presenting cells have been suggested. Here, we use single-cell sequencing to reveal distinct expression profiles of immune cells in murine AA. We found clonal expansions of both CD4+ and CD8+ T cells, with shared clonotypes across varied transcriptional states. The murine AA data were used to generate highly predictive models of human AA disease. Finally, single-cell sequencing of T cells in human AA recapitulated the clonotypic findings and the gene expression of the predictive models.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.