ArticleFEBS open bio2023
Identification of distinct gene co-expression modules and specific hub genes in skin lesions of atopic dermatitis and psoriasis by WGCNA.
Article in FEBS open bio, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
- Identifying core genes in keloid and investigating immune infiltration and pan-cancer associations using eQTL and machine learning.Bioinformatics advances · 2025Article
- Identifying key inflammatory genes in psoriasis via weighted gene co-expression network analysis: Potential targets for therapy.Biomolecules & biomedicine · 2024Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
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Abstract
Atopic dermatitis (AD) and psoriasis are among the most common chronic inflammatory skin diseases. Although AD and psoriasis are distinguished using clinical criteria, the lesions of these two diseases are sometimes highly similar, making diagnosis difficult. In addition, the mechanisms underlying these two diseases are not fully clear. Here, we aimed to identify potential genes and regulatory mechanisms in AD and psoriasis patients to aid in the diagnosis and treatment of AD and psoriasis. The GSE121212 dataset was obtained from the NCBI Gene Expression Omnibus database and weighted gene co-expression network analysis (WGCNA) was applied. The functions of genes in modules of interest were determined using Gene Ontology enrichment analysis and Kyoto Encyclopedia of Genes and Genomes analysis with the ggplot2 package of r. The hub genes were obtained using the Search Tool for the Retrieval of Interacting Genes database and then visualized using cytoscape. The MEgreen and MEbrown modules were identified to associate with AD and psoriasis, respectively, and the biological functions and pathways of genes in clinically significant modules were detected and analyzed. Hub genes in these two modules and details on potential protein interactions were also revealed. The genes and modules identified by WGCNA might contribute to our understanding of the molecular mechanisms of AD and psoriasis and aid in their diagnosis and treatment.
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