H1N1 and Guillain-Barré Syndrome: Common Gene Expression and Pathway Analysis

Integrated bioinformatics analysis identifies common differentially expressed genes between Influenza A (H1N1) infection and Guillain-Barré Syndrome (GBS). The 17.6 MB dataset, authored by Ye Deng and last updated in May 2026, contains results from enrichment and protein-protein interaction network analyses. It highlights TLR4, TNF, and ITGAM as key hub genes potentially linking the immunopathology of both conditions.

Use Cases

• Identifying common molecular pathways between H1N1 infection and GBS based on the described enrichment analysis.
• Validating hub gene candidates (TLR4, TNF, ITGAM) for therapeutic targeting using the provided protein-protein interaction network data.
• Predicting drug targets by analyzing interactions between hub genes and miRNAs or transcription factors as described in the study.

Strengths

• Dataset size is 17.6 MB, indicating a detailed analysis output.
• Analysis is based on GEO datasets, a public repository for gene expression data.
• License is CC-BY-4.0, permitting broad reuse with attribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Integrated bioinformatics and systems biology analysis of GEO datasets for H1N1 infection and GBS.

Freshness

Last updated 2026-05-21 07:35:56; freshness should be verified.