Pulmonary Hypertension Gene Expression Analysis for NT5E Biomarker

Supplementary data from a 2026 bioinformatics study by Yanan Chu investigating NAD+ metabolism-related genes in pulmonary hypertension. The 27.0 KB Excel file contains results identifying NT5E as a potential diagnostic biomarker, validated across two GEO datasets (GSE113439 and GSE53408).

Use Cases

• Analyze NT5E gene expression levels as a diagnostic biomarker for pulmonary hypertension.
• Validate the association between NT5E expression and immune cell infiltration, specifically plasma cells and eosinophils.
• Compare gene set enrichment analysis (GSEA) results for biological pathways enriched in high NT5E expression patients.
• Replicate ROC curve analysis using the provided area under the curve values (0.891 and 0.894) for model validation.

Strengths

• Results validated across two independent GEO datasets (GSE113439 and GSE53408).
• Includes specific AUC metrics (0.891 and 0.894) from ROC analysis for NT5E.
• Data is openly licensed under CC-BY-4.0 for reuse.

Limitations

• Dataset is very small at 27.0 KB, indicating limited raw data or summary results only.
• No column names or sample data are provided, limiting direct analysis.
• Scope is narrow, focused on two specific genes (NT5E and CD38) in one disease context.

Provenance

Source

Gene Expression Omnibus (GEO) database, Kyoto Encyclopedia of Genes and Genomes, and Reactome databases.

Collection Method

Bioinformatics analysis using Limma R package, weighted gene co-expression network analysis (WGCNA), ROC analysis, GSEA, and CIBERSORT algorithm, with in vitro cellular validation.

Freshness

Last updated in April 2026.