Data Sheet 11_Transcriptomic and experimental identification of immune- and telomere-relat

A transcriptomic dataset from figshare, last updated in May 2026, containing results from a computational study of pelvic organ prolapse (POP). The analysis identified 864 differentially expressed genes and pinpointed CCNL1 and NAMPT as key biomarkers. The dataset was created by Rong Ma and is shared under a CC-BY-4.0 license.

Use Cases

• Biomarker validation for pelvic organ prolapse based on identified key genes CCNL1 and NAMPT.
• Pathway enrichment analysis based on results such as ubiquitin-mediated proteolysis from GSEA.
• Drug target prediction based on the 14 potential therapeutic compounds identified.
• Diagnostic model development based on the reported nomogram with an AUC of 0.847.

Strengths

• Identifies two specific key biomarkers (CCNL1 and NAMPT) validated by RT-qPCR.
• Reports a diagnostic nomogram with an AUC of 0.847.
• Analysis includes a molecular regulatory network with 21 key nodes and 28 interactions.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 3.6 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

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

Freshness

Last updated 2026-05-22 06:10:50; freshness should be verified.