Data Sheet 3_Transcriptomic and experimental identification of immune- and telomere-relate

Data Sheet 3 contains transcriptomic data and analysis results from a study identifying immune- and telomere-related genes in pelvic organ prolapse (POP). The dataset includes results from differential expression analysis, machine learning, and validation, identifying CCNL1 and NAMPT as key biomarkers. It was authored by Rong Ma and last updated on 2026-05-22.

Use Cases

• Validate the diagnostic potential of CCNL1 and NAMPT biomarkers based on ROC analysis results mentioned in the description.
• Explore molecular regulatory networks based on the predicted 21 key nodes and 28 interactions described.
• Identify potential therapeutic compounds based on the 14 predicted drugs mentioned in the study.
• Conduct pathway enrichment analysis based on results like ubiquitin-mediated proteolysis identified via GSEA.

Strengths

• Includes results from a multi-method analysis pipeline (differential expression, machine learning, ROC analysis).
• Identifies two specific key biomarkers (CCNL1 and NAMPT) validated by RT-qPCR.
• Dataset is openly licensed under CC-BY-4.0.
• File size is 95.1 KB, indicating a focused and manageable dataset for analysis.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset's small size (95.1 KB) suggests it contains summary or processed results rather than raw transcriptomic data.
• Freshness should be verified as the last update is in the future (2026-05-22).

Provenance

Source

figshare, authored by Rong Ma.

Collection Method

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

Freshness

Last updated 2026-05-22 06:10:45; freshness should be verified.