Supplementary Material for Bioinformatics Analysis of Hypoxia Genes in Allergic Rhinitis

33.0 KB of supplementary material from a 2026 study analyzing two public gene expression datasets (GSE261239 and GSE171005) to investigate allergic rhinitis. The research identified 11 hypoxia-related genes with altered expression and validated the role of IGFBP3 using an ovalbumin-induced mouse model. The author is listed as figshare admin karger.

Use Cases

• Replicating the bioinformatics pipeline for identifying hypoxia-related genes in allergic rhinitis based on the described analysis of GSE261239 and GSE171005.
• Validating the correlation between IGFBP3 expression and immune cell infiltration (mast cells, Th1 cells) as described in the results.
• Designing animal model experiments to test therapeutic interventions for allergic rhinitis based on the described OVA-induced mouse model and IGFBP3 treatment protocol.

Strengths

• Supplementary material for a peer-reviewed study, providing methodological context.
• Analysis is based on two distinct public gene expression datasets (human and mouse-derived).
• Findings were validated in an animal model, suggesting a translational research approach.

Limitations

• The 33.0 KB size suggests the file is likely a document describing methods and results, not the primary gene expression data.
• Column-level documentation for any underlying data is absent; field semantics must be inferred after download.
• Row count for any associated data is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Bioinformatics analysis of public datasets GSE261239 and GSE171005, combined with validation in an OVA-induced mouse model.

Freshness

Last updated 2026-04-10 11:55:13; freshness should be verified.