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Isolation, Culture, and Characterization of Primary Dermal Fibroblasts from Human Keloid Tissue
Published on: July 28, 2023
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Bioinformatic Analysis of Key Genes and Pathways Related to Keloids.
Siwei Bi1, Ruiqi Liu2, Beiyi Wu1
1West China School of Medicine, Sichuan University, Chengdu, Sichuan 610041, China.
Biomed Research International
|April 16, 2021
Summary
This study identifies key genes and pathways involved in keloid development. Findings highlight collagen-related genes and pathways, offering insights for future keloid treatments.
Area of Science:
- Dermatology
- Genomics
- Bioinformatics
Background:
- Keloid pathophysiology is complex, with limited treatment options.
- Identifying key molecular players in keloid formation is crucial.
Purpose of the Study:
- To identify hub genes and critical pathways in keloid development.
- To analyze differentially expressed genes (DEGs) between normal skin and keloid tissues.
Main Methods:
- Downloaded and analyzed microarray datasets (GSE92566, GSE90051).
- Performed differential gene expression analysis, pathway enrichment analysis (GO, KEGG, Reactome), and network analysis.
- Validated hub genes and predicted miRNA-hub gene interactions.
Main Results:
- Identified 117 downregulated and 204 upregulated DEGs.
- Upregulated DEGs were enriched in extracellular and collagen-related pathways.
- Downregulated DEGs were associated with keratinization pathways.
- Identified COL5A1, COL5A2, and SERPINH1 as key hub genes, validated in a separate dataset.
Conclusions:
- Bioinformatic analysis revealed significant hub genes and pathways in keloid development.
- Insights into miRNA-hub gene interactions were provided.
- Results support the development of novel therapeutic strategies for keloids.
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