UARGs from GeneCards: Uric Acid-Related Genes in Diabetic Retinopathy

A study by Haiming Liang, published on figshare in 2026, identified uric acid-related genes (UARGs) associated with diabetic retinopathy (DR). The dataset contains results from differential expression analysis, machine learning, and immune infiltration analysis of public transcriptome data. It includes potential key genes MMP15 and FOXK1, validated with RT-qPCR on patient blood samples.

Use Cases

• Biomarker discovery for diabetic retinopathy based on identified uric acid-related genes (UARGs).
• Immune infiltration analysis in DR based on correlations with 7 immune cell types.
• Gene set enrichment analysis (GSEA) based on pathways like phosphatidylinositol signaling and proteasome.
• Construction of molecular regulatory networks based on 12 identified transcription factors targeting MMP15 and FOXK1.

Strengths

• Includes clinical validation via RT-qPCR on patient blood samples.
• Analysis integrates multiple methods: differential expression, machine learning, ROC analysis, and immune infiltration.
• Identifies two specific potential key genes (MMP15 and FOXK1) with supporting enrichment and correlation data.

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 small (343.8 KB), indicating a limited scope of data.

Provenance

Source

figshare, author Haiming Liang.

Collection Method

Generated from public database transcriptome data using differential expression analysis, machine learning, ROC analysis, and clinical validation.

Freshness

Last updated 2026-06-02 17:32:38; freshness should be verified.