ArticleCommunications biology2025
Uncovering a fibroblast differentiation-based keloid classification by integration of single-cell and bulk RNA sequencing.
Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Identification of Epigenetic Regulator-Associated Genes in Keloid Disease Through Integrated Bulk and Single-Cell Transcriptomics With RT-qPCR Validation.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- Cellular Senescence in Keloid Pathology: Mechanisms, Biomarkers, and Potential Therapeutic Targets.Biomedicines · 2026Review
- Immune-dominated cellular heterogeneity and stromal plasticity in keloid infiltrating and hypercellular zones revealed by single-cell RNA sequencing.Frontiers in immunology · 2026Article
- Advances in the interplay between mechanical forces and inflammatory immunity in keloid formation.Frontiers in immunology · 2026Review
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Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Keloids are dermal fibroproliferative skin disorders caused by abnormal wound healing, resulting in impaired skin function and aesthetic defects. Abnormal fibroblast proliferation and excessive collagen deposition are involved in keloid formation. This study investigated the role of fibroblast differentiation in keloid development. Single-cell and bulk RNA sequencing data of keloids were comprehensively analyzed, and 25 clinically relevant differentially expressed fibroblast-differentiation-related genes (DEFDRGs) were identified. Based on DEFDRGs, a keloid diagnostic classification system comprising three subtypes was constructed, indicating that DEFDRGs could serve as therapeutic targets. Additionally, multiple microarray datasets, protein sequencing data, and immunohistochemical analyses of key markers in clinical keloid samples were used for further verification. In conclusion, this study established a molecular classification of keloids based on fibroblast differentiation, contributing to the further understanding of keloid pathogenesis and providing new insights for diagnosis and treatment.
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Registered trials
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