NT5E Gene Analysis in Pulmonary Hypertension Biomarker Study

A research paper details the identification of NAD+ metabolism-related genes as biomarkers for pulmonary hypertension. The analysis leverages gene expression data from the Gene Expression Omnibus database, specifically datasets GSE113439 and GSE53408. The study was authored by Yanan Chu and uploaded to figshare in April 2026.

Use Cases

• Validate NT5E gene expression as a diagnostic biomarker using ROC curve analysis results (AUC values of 0.891 and 0.894).
• Replicate immune infiltration analysis linking NT5E expression to plasma cells and eosinophils in the PH microenvironment.
• Reproduce Gene Set Enrichment Analysis (GSEA) findings on PH-related biological functions and pathways associated with high NT5E expression.
• Cross-reference identified differentially expressed genes (DEGs) and NMRGs from KEGG and Reactome databases for meta-analysis.

Strengths

• ROC analysis reports high predictive accuracy with AUC values of 0.891 and 0.894 across two distinct datasets.
• Analysis integrates results from multiple bioinformatics methods: DEG identification, WGCNA, GSEA, and immune infiltration.

Limitations

• The dataset is a 16.7 KB DOCX file containing a research paper, not primary gene expression data.
• No raw data columns or sample data are provided for independent computational analysis.

Provenance

Source

Gene Expression Omnibus (GEO) database, specifically datasets GSE113439 and GSE53408.

Collection Method

Bioinformatics analysis using the Limma R package, weighted gene co-expression network analysis (WGCNA), and CIBERSORT algorithm.

Time Range

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Geography

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