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Updated: Jul 12, 2026

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
Published on: May 28, 2021
Exploring the association between rosacea and acne by integrated bioinformatics analysis
Jingchen Liang1, Ying Chen1, Zihao Wang2
1Department of Dermatology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
This study reveals shared molecular mechanisms between rosacea and acne, identifying key genes like IL1B and PTPRC. Increased gamma delta T cell infiltration is linked to both conditions, suggesting new therapeutic targets.
Area of Science:
- Dermatology
- Immunology
- Molecular Biology
Background:
- Rosacea frequently co-occurs with acne, suggesting shared underlying molecular pathways.
- The precise pathophysiological links between rosacea and acne remain incompletely understood.
Purpose of the Study:
- To elucidate the molecular mechanisms driving rosacea and acne pathogenesis.
- To identify common differentially expressed genes (DEGs) and key regulatory pathways.
Main Methods:
- Utilized limma and weighted gene co-expression network analysis to identify DEGs.
- Constructed protein-protein interaction networks to screen for hub genes.
- Performed transcription factor prediction, immune cell infiltration analysis (CIBERSORT), and correlation analyses.
Main Results:
- Identified 169 common DEGs, primarily enriched in immune-related pathways.
- Key hub genes identified include IL1B, PTPRC, CXCL8, MMP9, CCL4, CXCL10, CD163, CCR5, CXCR4, and TLR8.
- Significantly increased infiltration of gamma delta T cells was observed in rosacea and acne lesions, correlating positively with hub genes.
Conclusions:
- The identified hub genes and gamma delta T cells are implicated in the pathogenesis of both rosacea and acne.
- Findings suggest potential shared therapeutic targets for managing these common dermatological conditions.
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