GSEA Results for Pediatric Asthma Risk Groups with Iron Metabolism Genes

283 peripheral blood transcriptome samples (155 pediatric asthma, 128 control) from three GEO datasets (GSE27011, GSE40888, GSE40732) were analyzed by Liang Liu. The dataset contains results of Gene Set Enrichment Analysis (GSEA) for risk groups, identifying 15 iron metabolism-related differentially expressed genes. It was last updated on 2026-04-15.

Use Cases

• Validate diagnostic models based on the four key genes (C19orf12, IREB2, XK, GDF15) identified by machine learning.
• Investigate the role of iron metabolism-related genes in cellular energy metabolism and oxidative stress response in asthma.
• Analyze correlations between gene expression and immune cell proportions, such as memory CD4+ T cells and mast cells.
• Compare gene expression signatures between high-risk and low-risk pediatric asthma groups.

Strengths

• Includes 283 samples from three integrated public datasets (GSE27011, GSE40888, GSE40732).
• Analysis identified 15 specific iron metabolism-related differentially expressed genes (IMRDEGs).
• Findings are supported by independent qRT-PCR validation for genes C19orf12 and IREB2.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is very small (5.5 KB), indicating limited scope, likely containing summary results rather than raw data.

Provenance

Source

Integrated from three GEO database datasets (GSE27011, GSE40888, GSE40732).

Collection Method

Peripheral blood transcriptome data normalized and batch-corrected, followed by differential expression and functional enrichment analysis.

Freshness

Last updated 2026-04-15 17:36:38; freshness should be verified.