Data Sheet 8_Transcriptomic and experimental identification of immune- and telomere-relate

A transcriptomic dataset from a study identifying immune- and telomere-related biomarkers for pelvic organ prolapse (POP). The analysis identified 864 differentially expressed genes and pinpointed CCNL1 and NAMPT as key biomarkers. The dataset was authored by Rong Ma and last updated on May 22, 2026.

Use Cases

• Validate the diagnostic potential of CCNL1 and NAMPT biomarkers based on ROC analysis results
• Explore molecular regulatory networks based on predicted interactions with 21 key nodes
• Identify potential therapeutic compounds based on the 14 predicted drug candidates
• Conduct pathway enrichment analysis based on results like ubiquitin-mediated proteolysis from GSEA

Strengths

• Includes results from differential expression analysis identifying 864 genes
• Biomarker validation includes RT-qPCR results and a nomogram with an AUC of 0.847
• Released under a permissive CC-BY-4.0 license

Limitations

• Dataset is extremely small at 429 bytes, suggesting it likely contains only summary results, not raw transcriptomic data
• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment

Provenance

Source

figshare, authored by Rong Ma

Collection Method

Analysis of public-database transcriptome data using differential expression analysis, machine learning, and validation experiments.

Freshness

Last updated 2026-05-22 06:10:47; freshness should be verified