Liver Cirrhosis Gene Expression Statistics from GEO Datasets

749 key genes identified from integrated liver cirrhosis microarray datasets from NCBI-GEO. The dataset likely contains descriptive statistics for genes, including MMP2 and ITGB2, which were validated via immunohistochemistry. It was authored by Lei Feng and last updated in June 2026.

Use Cases

• Identifying diagnostic biomarkers for liver cirrhosis based on differentially expressed genes.
• Constructing prognostic models based on hub genes like MMP2 and ITGB2.
• Exploring potential therapeutic agents via molecular docking approaches using identified key genes.
• Analyzing immune infiltration and microenvironment construction in liver cirrhosis based on leukocyte transendothelial migration genes.

Strengths

• Focuses on 749 key genes identified through differential expression and WGCNA analysis.
• Includes validation data from immunohistochemical staining for MMP2 and ITGB2 protein levels.
• Released under a CC-BY-4.0 license, facilitating open reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is 5.5 KB, indicating a very limited scope, likely containing summary statistics rather than raw expression data.

Provenance

Source

NCBI-GEO database

Collection Method

Integrated analysis of human liver cirrhosis microarray datasets.

Freshness

Last updated 2026-06-03 17:27:54; freshness should be verified.