KEGG Pathway Analysis for Acute Pancreatitis-Associated Lung Injury

94 overlapping differentially expressed genes were identified from mouse lung tissue and human peripheral blood datasets. Lingfeng Chen published this bioinformatics analysis on figshare in May 2026. The 9.1 KB text file contains results from pathway enrichment and protein-protein interaction network construction.

Use Cases

• Identify candidate hub genes like IL-1β and CXCL2 based on the protein-protein interaction network analysis
• Investigate shared inflammatory pathways such as NF-κB signaling based on the KEGG enrichment results
• Perform cross-species validation of systemic inflammatory responses based on the comparison of mouse lung tissue and human peripheral blood data

Strengths

• Analysis integrates three distinct Gene Expression Omnibus datasets (GSE244335, GSE216943, GSE194331)
• Results include a list of 10 hub genes identified from mouse data and 10 from human data
• The dataset is openly licensed under CC-BY-4.0

Limitations

• The 9.1 KB size suggests the dataset likely contains summary results, not raw expression data
• Row count and column-level documentation are unknown, limiting suitability assessment
• Direct validation in human pulmonary tissue is noted as warranted, indicating the findings are computational hypotheses

Provenance

Source

Gene Expression Omnibus (GEO) database

Collection Method

Bioinformatics analysis including differential gene expression screening, GO/KEGG pathway enrichment, and PPI network construction

Freshness

Last updated 2026-05-22 17:41:25