Psoriasis Immune-Related Hub Genes Identified from Microarray Data

A bioinformatics study by Yuzhen Sun, last updated in April 2026, identified 3,281 differential genes and validated six immune-related hub genes (CLEC7A, CXCL1, IRF1, S100A12, S100A8, S100A9) from multiple psoriasis patient microarray datasets. The 350.6 KB dataset, shared on figshare, contains results from differential gene analysis, WGCNA, LASSO, and PPI network analyses, validated with GSEA and ROC curves.

Use Cases

• Validate biomarker discovery for psoriasis severity based on the six identified hub genes.
• Analyze immune cell infiltration patterns in psoriatic lesions based on CIBERSORT algorithm results mentioned in the description.
• Identify potential drug targets for biologics based on drug-gene interaction analysis from the DGIdb.
• Correlate gene expression with clinical treatment outcomes based on Pearson correlation analysis described in the study.

Strengths

• Identifies 3,281 differential genes and six validated hub genes with high within-sample discrimination (AUC > 0.9).
• Analysis integrates results from five distinct microarray datasets (GSE30999, GSE106992, GSE14905, GSE78097, GSE117468).
• Includes results from multiple analytical methods: differential gene analysis, WGCNA, LASSO, PPI networks, GSEA, and ROC curves.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (350.6 KB), indicating limited scope, likely containing summary results rather than raw expression data.

Provenance

Source

figshare, author Yuzhen Sun.

Collection Method

Computational analysis of publicly available microarray datasets from psoriasis patients.

Time Range

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Freshness

Last updated 2026-04-20 17:39:05; freshness should be verified.

Geography

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