NT5E Gene Expression Data for Pulmonary Hypertension Biomarker Analysis

Gene expression data supporting the identification of NAD+ metabolism-related genes as biomarkers for pulmonary hypertension. The dataset originates from a 2026 bioinformatics study by Yanan Chu, published on figshare. Its small size of 8.4 KB indicates a focused, supplementary dataset.

Use Cases

• Identify differentially expressed genes (DEGs) like NT5E and CD38 from pulmonary hypertension patient samples.
• Perform receiver operator characteristic (ROC) curve analysis using gene expression values to evaluate diagnostic accuracy.
• Conduct gene set enrichment analysis (GSEA) to explore PH-related biological functions associated with high NT5E expression.
• Analyze immune cell infiltration patterns, such as plasma cells and eosinophils, correlated with NT5E expression levels.
• Validate in vitro findings by comparing gene expression data from bioinformatics analysis with experimental cell model results.

Strengths

• Data supports a specific finding: NT5E showed high predictive accuracy with AUC values of 0.891 and 0.894 in two validation datasets.
• Clear methodological provenance from a published study using Gene Expression Omnibus (GEO) data and bioinformatics tools.
• Published under a permissive CC-BY-4.0 license, allowing for reuse and redistribution.

Limitations

• Very small dataset at 8.4 KB, indicating limited scope and likely a summary or supplementary file rather than raw expression data.
• Unknown row count and column structure, limiting immediate usability for direct analysis.
• Temporal coverage and specific sample sources (e.g., GEO dataset identifiers) are not explicitly detailed in the provided metadata.

Provenance

Source

Gene Expression Omnibus (GEO) database, analyzed as part of a research study.

Collection Method

Bioinformatics analysis using the Limma R package for differential expression and weighted gene co-expression network analysis (WGCNA).

Freshness

Last updated on April 6, 2026, indicating it is a forward-dated or planned publication entry.