NT5E Gene Expression Analysis for Pulmonary Hypertension Biomarker Discovery

A 91.5 KB Excel file contains bioinformatics analysis results identifying NAD+ metabolism-related genes in pulmonary hypertension. The dataset includes results from differential expression analysis, ROC curve evaluations, and immune cell infiltration assessments from GEO datasets GSE113439 and GSE53408. It was authored by Yanan Chu and last updated in April 2026.

Use Cases

• Identify differentially expressed NAD+ metabolism-related genes like NT5E and CD38 from overlapping gene lists.
• Evaluate diagnostic biomarker potential using ROC curve analysis results with AUC values for NT5E.
• Analyze immune cell infiltration associations, such as between NT5E expression and plasma cells or eosinophils.
• Perform gene set enrichment analysis (GSEA) on pathways enriched in patients with high NT5E expression.
• Validate bioinformatics findings by comparing in vitro experimental results on NT5E knockdown effects.

Strengths

• Includes validated ROC analysis results with AUC values of 0.891 and 0.894 for NT5E across two datasets.
• Integrates multiple analysis methods: differential expression, WGCNA, GSEA, and immune infiltration.
• Dataset is openly licensed under CC-BY-4.0 for reuse.

Limitations

• Very small dataset at 91.5 KB, indicating limited raw data or summary results only.
• No column names or sample data are provided, obscuring the exact data structure.
• Temporal and geographic coverage of the underlying patient samples is unspecified.

Provenance

Source

Gene Expression Omnibus (GEO) databases GSE113439 and GSE53408.

Collection Method

Bioinformatics analysis using the Limma R package, WGCNA, ROC curves, GSEA, and the CIBERSORT algorithm.

Freshness

Last updated in April 2026.