<p>Relevant parameters of the intersecting pathways.</p>

Lingfeng Chen published this dataset on figshare in May 2026. It contains bioinformatics analysis results identifying key genes and shared pathways associated with acute pancreatitis-associated acute lung injury (AP ALI). The data is derived from three Gene Expression Omnibus (GEO) datasets, including mouse lung tissue and human peripheral blood samples, and is stored in a 5.5 KB XLS file.

Use Cases

• Identifying hub genes like IL-1β and CXCL2 based on protein-protein interaction network analysis described in the results.
• Analyzing enrichment in immune-inflammatory response and NF-κB signaling pathways based on GO/KEGG analysis results.
• Conducting cross-species validation of systemic inflammatory mechanisms based on the comparison of mouse lung tissue and human peripheral blood data.
• Generating testable hypotheses for experimental validation of inflammatory pathways in AP-ALI based on the computational findings.

Strengths

• Analysis integrates data from three distinct GEO datasets (GSE244335, GSE216943, GSE194331) for cross-species comparison.
• Identifies 94 overlapping differentially expressed genes and specific hub genes (e.g., IL-1β, CCL3, S100A9) from the bioinformatics workflow.
• Released under a permissive CC-BY-4.0 license, facilitating reuse and redistribution.

Limitations

• Row count and column-level documentation are unknown, which may limit suitability assessment.
• The dataset is very small (5.5 KB), indicating it contains processed analysis results rather than raw expression data.
• Direct validation in human pulmonary tissue is noted as warranted, suggesting the findings are computational hypotheses.

Provenance

Source

Gene Expression Omnibus (GEO) database.

Collection Method

Bioinformatics analysis of retrieved GEO datasets, including differential expression screening, GO/KEGG pathway analysis, and PPI network construction.

Time Range

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Freshness

Last updated 2026-05-22 17:41:28; freshness should be verified.

Geography

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