ANPEP Gene Expression Data for Atherosclerotic Stroke Research

A multi-omics study by Fanghui Bai published in April 2026 integrates transcriptomic datasets GSE100927 and GSE28829 and single-cell RNA sequencing data GSE159677. The research identifies characteristic lysosome-related genes, focusing on ANPEP's role in macrophage lipid metabolism and foam cell formation in large-artery atherosclerotic stroke.

Use Cases

• Identifying diagnostic biomarkers for atherosclerotic stroke based on lysosome-related gene expression patterns.
• Analyzing macrophage subpopulation gene expression using single-cell RNA sequencing data.
• Investigating lipid transport gene correlations with ANPEP expression via pseudotime trajectory analysis.
• Validating gene function through in silico knockout and RNA sequencing experiments.

Strengths

• Integrates multiple public transcriptomic datasets (GSE100927, GSE28829, GSE159677).
• Includes experimental validation via knockdown assays and functional experiments.
• ANPEP demonstrated high diagnostic performance (AUC: 0.803–1.000) in validation cohorts.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary file format is DOCX, which may not be a standard data format for analysis.

Provenance

Source

figshare

Collection Method

Analysis of public transcriptomic datasets and experimental validation.

Freshness

Last updated 2026-04-24 04:23:34; freshness should be verified.