CPMOAD: comprehensive preeclampsia multi-omics analysis database.

Area of Science:

• Genomics
• Biotechnology
• Reproductive Medicine

Background:

• Preeclampsia (PE) is a significant global health concern during pregnancy, affecting maternal and fetal well-being.
• Existing multi-omics datasets for PE are fragmented, hindering comprehensive analysis and discovery.
• A unified platform for integrating and analyzing diverse PE-related omics data is critically needed.

Purpose of the Study:

• To develop a centralized online platform for integrating and analyzing preeclampsia multi-omics data.
• To provide researchers with tools for exploring gene expression, DNA methylation, and molecular interactions in PE.
• To facilitate the discovery of novel molecular mechanisms and biomarkers for preeclampsia.

Main Methods:

• Developed CPMOAD (Comprehensive Preeclampsia Multi-Omics Analysis Database), an integrated online platform.
• Integrated RNA-seq, DNA methylation, and literature-curated data for preeclampsia.
• Applied uniform processing for differential expression, methylation analysis, and molecular interaction records.

Main Results:

• CPMOAD provides access to diverse PE data, including gene expression and methylation profiles.
• The platform enables interactive differential expression, methylation, and pathway enrichment analyses.
• Users can explore validated molecular signatures associated with preeclampsia through the web interface.

Conclusions:

• CPMOAD is a comprehensive, user-friendly resource for integrated multi-omics analysis in preeclampsia research.
• The database aims to accelerate the identification of molecular mechanisms and biomarkers for PE.
• CPMOAD is freely accessible, promoting collaborative research in preeclampsia.