ArticleInternational wound journal2023
Bioinformatics analysis and verification of m6A related genes based on the construction of keloid diagnostic model.
Article in International wound journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Exploring the Complexities of TGF-β Signaling in Keloids: Beyond the Classical Smad Pathway.International journal of molecular sciences · 2026Review
- Function of epigenetic modifications in wound healing and potential therapies (Review).International journal of molecular medicine · 2025Review
- Epigenetic orchestration of RNA mInternational journal of biological sciences · 2025Review
- Unraveling the landscape of m6A RNA methylation in wound healing and scars.Cell death discovery · 2024Review
- Bioinformatics analysis and verification of m6A related genes based on the construction of keloid diagnostic model.International wound journal · 2023Article
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 1 country.
Funding
Abstract
Keloids are formed due to abnormal hyperplasia of the skin connective tissue. We explored the relationship between N6-methyladenosine (m6A)-related genes and keloids. The transcriptomic datasets (GSE44270 and GSE185309) of keloid and normal skin tissues samples were obtained from the Gene Expression Omnibus database. We constructed the m6A landscape and verified the corresponding genes using immunohistochemistry. We extracted hub genes for unsupervised clustering analysis using protein-protein interaction (PPI) network; gene ontology enrichment analysis was performed to determine the biological processes or functions affected by the differentially expressed genes (DEGs). We performed immune infiltration analysis to determine the relationship between keloids and the immune microenvironment using single-sample gene set enrichment analysis and CIBERSORT. Differential expression of several m6A genes was observed between the two groups; insulin-like growth factor 2 mRNA-binding protein 3 (IGF2BP3) was significantly upregulated in keloid patients. PPI analysis elucidated six genes with significant differences between the two keloid sample groups. Enrichment analysis revealed that the DEGs were mainly enriched in cell division, proliferation, and metabolism. Moreover, significant differences in immunity-related pathways were observed. Therefore, the results of this study will provide a reference for the elucidation of the pathogenesis and therapeutic targets of keloids.
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Registered trials
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