864 differentially expressed genes, including 833 upregulated and 31 downregulated, were identified from public-database transcriptome data for pelvic organ prolapse (POP). Rong Ma published this dataset on figshare in 2026, which includes six candidate genes at the intersection of DEGs, telomere-related genes, and immune cell-related genes. Machine learning further pinpointed CCNL1 and NAMPT as key biomarkers, validated by RT-qPCR.
Use Cases
- Validate diagnostic biomarkers for pelvic organ prolapse based on identified key genes CCNL1 and NAMPT.
- Explore molecular regulatory networks in POP based on predicted interactions with 21 key nodes and 28 interactions.
- Predict potential therapeutic compounds for POP based on the 14 drug candidates identified in the study.
- Perform pathway enrichment analysis for POP based on results such as enrichment in ubiquitin-mediated proteolysis.
- Build a diagnostic nomogram for POP based on the reported AUC of 0.847.
Strengths
- Includes 864 differentially expressed genes specifically identified for pelvic organ prolapse.
- Key biomarkers CCNL1 and NAMPT were validated by RT-qPCR (p < 0.05).
- The dataset is openly licensed under CC-BY-4.0.
Limitations
- The dataset is very small at 631 bytes, suggesting limited raw data or summary-level information.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- figshare, author Rong Ma.
- Collection Method
- Generated from public-database transcriptome data using differential expression analysis, immune infiltration, WGCNA, and machine learning.
- Freshness
- Last updated 2026-05-22 06:10:46; freshness should be verified.