Clinical Information Table for Diabetic Retinopathy Uric Acid Gene Study

Haiming Liang published a clinical information table on figshare in 2026. The dataset supports a study identifying uric acid-related genes in diabetic retinopathy. It is a small dataset, 59.7 KB in size, stored in an XLSX file.

Use Cases

• Validate the expression of MMP15 and FOXK1 genes in diabetic retinopathy based on the study's findings.
• Analyze correlations between gene expression and immune cell infiltration based on the described immune infiltration analysis.
• Investigate transcriptional regulation by exploring the network of 12 transcription factors targeting MMP15 and FOXK1.
• Perform gene set enrichment analysis (GSEA) on pathways like phosphatidylinositol signaling based on the study's results.

Strengths

• Dataset is licensed under CC-BY-4.0, allowing for broad reuse and sharing.
• The underlying study employed multiple analytical methods, including machine learning and RT-qPCR validation.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Haiming Liang

Collection Method

Generated from public database transcriptome data using differential expression analysis, machine learning, and clinical validation with RT-qPCR.

Freshness

Last updated 2026-06-02 17:32:37; freshness should be verified.