CEBPD Gene Expression Data for Uterine Leiomyoma Fibrosis Analysis

34.3 KB of supplementary research data analyzes the expression of the CEBPD gene in uterine leiomyoma. The data includes results from two independent cohorts (GSE64763, GSE95101) and single-cell RNA sequencing analysis, authored by Ran Duan and last updated in May 2026. It supports the investigation of CEBPD as a diagnostic biomarker and regulator of fibrosis.

Use Cases

• Evaluate diagnostic biomarker performance based on ROC curve analysis results
• Investigate gene expression correlations with fibrosis based on negative correlation with COL1A1, COL1A2, and COL3A1
• Analyze cellular distribution of gene expression based on single-cell RNA sequencing data mapping to 8 cell subsets
• Study the association between gene expression and epithelial-mesenchymal transition based on correlation with ZFP36, KLF2, and NR4A1

Strengths

• Data is validated across two independent ULM cohorts (GSE64763, GSE95101)
• CEBPD showed robust diagnostic accuracy with AUC values of 0.878 and 0.858
• Analysis includes single-cell RNA sequencing data for cellular-level insights
• Findings are supported by histological validation using clinical specimens

Limitations

• Dataset scale is limited at 34.3 KB, suggesting it is a supplementary document rather than primary data
• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment for computational analysis

Provenance

Source

figshare

Collection Method

Analysis of transcriptional profiles from public GEO datasets (GSE64763, GSE95101) and single-cell RNA sequencing data.

Freshness

Last updated 2026-05-19 05:38:37