Revealing shared gene signatures and HIF-1α pathway in allergic rhinitis and asthma: a bio

Gene expression data from the GEO database (GSE52804, GSE6858, GSE41665) was analyzed to identify shared mechanisms in combined allergic rhinitis and asthma syndrome (CARAS). The study identified 56 differentially expressed genes and validated findings in a murine model. The dataset, authored by Zhuiyue Wang and last updated on 2026-05-15, includes analysis files in TIF, DOCX, and XLSX formats totaling 16.0 MB.

Use Cases

• Identify hub genes like IL6, Cxcl1, and Ccl9 based on protein-protein interaction network analysis
• Analyze key pathways such as viral protein interactions with cytokines and arachidonic acid metabolism based on KEGG pathway analysis
• Validate the role of the HIF-1α signaling pathway based on experimental data from a murine CARAS model
• Explore potential biomarkers for CARAS based on identified differentially expressed genes and inflammatory cytokine levels

Strengths

• Analysis is based on three distinct GEO datasets (GSE52804, GSE6858, GSE41665), providing multiple data sources
• Identifies 56 differentially expressed genes and 7 key hub genes (IL6, Cxcl1, Ccl9, Cxcl2, Ccl20, Ccl11, Cxcl5)
• Includes experimental validation using a murine CARAS model, linking bioinformatics findings to in vivo results

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Data may reflect bias inherent to the specific GEO datasets and experimental model used

Provenance

Source

Gene Expression Omnibus (GEO) database

Collection Method

Bioinformatics analysis of gene expression data and experimental validation in a murine model

Freshness

Last updated 2026-05-15 18:40:05; freshness should be verified