Data Sheet 2_Transcriptomic and experimental identification of immune- and telomere-relate

A 20.0 KB Excel file containing transcriptomic analysis results for pelvic organ prolapse (POP). The dataset, authored by Rong Ma and last updated on 2026-05-22, identifies differentially expressed genes and key biomarkers CCNL1 and NAMPT through machine learning and experimental validation.

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.
• Molecular regulatory network analysis based on the predicted 21 key nodes and 28 interactions.

Strengths

• Includes experimental validation via RT-qPCR for key biomarkers.
• Reports specific analytical results, including 864 differentially expressed genes and a diagnostic nomogram AUC of 0.847.
• Released under a permissive CC-BY-4.0 license.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is small (20.0 KB), indicating limited scope, likely containing summary results rather than raw data.
• Description metadata is limited; actual data quality and structure require manual inspection after download.

Provenance

Source

figshare, author Rong Ma.

Collection Method

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

Freshness

Last updated 2026-05-22 06:10:51; freshness should be verified.