Background <p>Preeclampsia (PE) is a pregnancy-specific syndrome that poses serious risks to both maternal and fetal health globally. Despite the accumulation of multi-omics datasets from various studies, a unified platform that integrates these resources for comprehensive analysis remains unavailable.</p> Methods <p>We developed CPMOAD (Comprehensive Preeclampsia Multi-Omics Analysis Database), an online platform designed to integrate RNA-seq, DNA methylation, and literature-curated data related to PE. All datasets were uniformly processed to generate differential expression profiles, methylation data, and curated molecular interaction records. The database is equipped with interactive visualization tools and customizable analysis modules.</p> Results <p>CPMOAD offers access to a broad spectrum of PE-relevant data, including gene expression and methylation profiles. Users can perform differential expression analysis, methylation analysis, and pathway enrichment analysis directly through the web interface. The platform also enables the exploration of validated molecular signatures associated with PE.</p> Conclusions <p>CPMOAD serves as a comprehensive and user-friendly resource for integrated multi-omics analysis in preeclampsia research. By consolidating diverse datasets and providing powerful analytical tools, CPMOAD aims to accelerate the discovery of molecular mechanisms and potential biomarkers for PE. The database is freely accessible at <a href="http://nscc.zzu.edu.cn/CPMOAD/">http://nscc.zzu.edu.cn/CPMOAD/</a>.</p>

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CPMOAD: comprehensive preeclampsia multi-omics analysis database

  • Yang Fang,
  • Mengzhe Fan,
  • Hao Li,
  • Hongen Xu,
  • Hongmei Du,
  • Yaqing Guo,
  • Jinshuang Gao,
  • Erfeng Yuan,
  • Liying Song,
  • Yu Wang,
  • Qianqian Shi,
  • HaiYang Yu,
  • Enwu yuan,
  • Xin Zhao,
  • Linlin Zhang

摘要

Background

Preeclampsia (PE) is a pregnancy-specific syndrome that poses serious risks to both maternal and fetal health globally. Despite the accumulation of multi-omics datasets from various studies, a unified platform that integrates these resources for comprehensive analysis remains unavailable.

Methods

We developed CPMOAD (Comprehensive Preeclampsia Multi-Omics Analysis Database), an online platform designed to integrate RNA-seq, DNA methylation, and literature-curated data related to PE. All datasets were uniformly processed to generate differential expression profiles, methylation data, and curated molecular interaction records. The database is equipped with interactive visualization tools and customizable analysis modules.

Results

CPMOAD offers access to a broad spectrum of PE-relevant data, including gene expression and methylation profiles. Users can perform differential expression analysis, methylation analysis, and pathway enrichment analysis directly through the web interface. The platform also enables the exploration of validated molecular signatures associated with PE.

Conclusions

CPMOAD serves as a comprehensive and user-friendly resource for integrated multi-omics analysis in preeclampsia research. By consolidating diverse datasets and providing powerful analytical tools, CPMOAD aims to accelerate the discovery of molecular mechanisms and potential biomarkers for PE. The database is freely accessible at http://nscc.zzu.edu.cn/CPMOAD/.