GEO Microarray Chip Information: Pediatric Asthma and Iron Metabolism Genes

283 peripheral blood transcriptome samples from three GEO datasets (GSE27011, GSE40888, GSE40732) were integrated to study pediatric asthma. The analysis identified 15 iron metabolism-related differentially expressed genes, including C19orf12 and IREB2. Liang Liu uploaded this 5.5 KB XLS file to figshare in April 2026.

Use Cases

• Validate iron metabolism gene signatures for pediatric asthma based on the 15 identified IMRDEGs.
• Build a diagnostic model for asthma using the four key genes isolated by machine learning.
• Investigate immune cell correlations in asthma by analyzing memory CD4+ T cell and mast cell proportions.
• Conduct differential expression analysis on integrated transcriptomic datasets from the GEO database.

Strengths

• Includes 283 samples (155 pediatric asthma, 128 control) from three integrated datasets.
• Analysis identified 15 specific iron metabolism-related genes, providing a focused target list.
• 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 at 5.5 KB, indicating limited scope, likely containing summary results rather than raw data.
• Data may reflect bias inherent to the specific GEO studies used as sources.

Provenance

Source

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

Collection Method

Peripheral blood transcriptome datasets were normalized and batch effect corrected.

Freshness

Last updated 2026-04-15 17:36:34; freshness should be verified.