EndometDB

EndometDB provides a relational database of global gene expression and integrated clinical data to support comparative molecular analyses of endometriosis.

Key Features:

• Gene Expression Data Repository: Houses global gene expression patterns from 115 patients with endometriosis and 53 control subjects covering over 24,000 genes.
• Clinical Feature Integration: Integrates clinical variables including patient age, disease stage, hormonal medication status, menstrual cycle phase, and types of endometriosis lesions.
• Tissue Coverage for Comparative Analyses: Contains expression data from endometriotic lesions, eutopic endometrium, peritoneum of affected individuals, and corresponding tissues from healthy women to enable cross-tissue comparisons.
• Data Visualization and Export: Supports generation of visualizations using Plotly and R and enables export of plots in PDF format.
• Relational Database Architecture: Implements a structured relational database to store and query gene expression and linked clinical data.

Scientific Applications:

• Differential Expression Analysis: Facilitates identification of genes differentially expressed between endometriotic lesions, eutopic endometrium, peritoneum, and controls.
• Biomarker Discovery: Supports exploration of candidate diagnostic or prognostic biomarkers associated with endometriosis.
• Hormonal and Menstrual Cycle Studies: Enables assessment of how hormonal medication status and menstrual cycle phase influence gene expression in endometriosis.
• Clinical Correlation: Allows correlation of gene expression patterns with patient age and disease stage.

Methodology:

Data are stored in a relational database comprising global gene expression profiles derived from 115 endometriosis patients and 53 controls spanning >24,000 genes, with integrated clinical variables; visualizations are generated using Plotly and R and can be exported as PDF.