GSE216943-DEGs: Differentially Expressed Genes for Acute Pancreatitis Lung Injury

469 and 153 differentially expressed genes were identified from two mouse tissue datasets, with 94 overlapping genes. This dataset, created by Lingfeng Chen and last updated in May 2026, contains results from a cross-species bioinformatics analysis linking acute pancreatitis to acute lung injury. The analysis identified hub genes like IL-1β and CXCL2 and implicated the IL-17/NF-κB signaling pathway in the disease mechanism.

Use Cases

• Identifying candidate molecular targets for diagnosis and treatment based on the identified hub genes.
• Analyzing shared pathogenic pathways between acute pancreatitis and lung injury based on the GO/KEGG enrichment results.
• Validating cross-species consistency of inflammatory mechanisms between mouse models and human data.
• Constructing protein-protein interaction networks based on the screened differentially expressed genes.

Strengths

• Analysis includes cross-species validation using a human peripheral blood dataset.
• Specific counts of DEGs are provided: 469 from one dataset, 153 from another, with 94 overlapping.
• Results include identified top hub genes (e.g., IL-1β, CCL3, CXCL2) and enriched pathways like NF-κB signaling.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is derived from computational analysis; direct validation in human pulmonary tissue is noted as required.

Provenance

Source

Gene Expression Omnibus (GEO) database, specifically datasets GSE244335, GSE216943, and GSE194331.

Collection Method

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

Time Range

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Freshness

Last updated 2026-05-22 17:41:23; freshness should be verified.

Geography

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