NT5E Gene Expression Analysis for Pulmonary Hypertension Biomarker Identification

Two NAD+ metabolism-related genes, NT5E and CD38, were identified as candidate biomarkers for pulmonary hypertension through bioinformatics analysis. The dataset contains results from differential expression, ROC curve, and gene set enrichment analyses across GSE113439 and GSE53408 datasets. Yanan Chu published this supplementary data in April 2026.

Use Cases

• Validate NT5E's diagnostic accuracy using the provided area under the ROC curve values of 0.891 and 0.894 from different datasets.
• Analyze the association between NT5E expression and immune cell infiltration, specifically plasma cells and eosinophils, in the PH microenvironment.
• Correlate high NT5E expression with enriched biological functions and pathways identified by the Gene Set Enrichment Analysis (GSEA).
• Compare expression levels of candidate NMRGs like NT5E and CD38 against differentially expressed genes from the GEO database.

Strengths

• ROC analysis shows high predictive accuracy for NT5E with AUC values of 0.891 and 0.894.
• Analysis integrates results from multiple public datasets (GSE113439, GSE53408) and in vitro validation.

Limitations

• The 1.8 MB file size suggests a small dataset, likely containing summary results rather than raw expression data.
• Specific row counts, sample sizes, and individual-level data are not provided.

Provenance

Source

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

Collection Method

Bioinformatics analysis using the Limma R package, weighted gene co-expression network analysis, ROC curve analysis, GSEA, and CIBERSORT algorithm.

Freshness

Last updated in April 2026.