Journal of translational medicine · 2025
CPMOAD: comprehensive preeclampsia multi-omics analysis database.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Fang Yang, Fan Mengzhe, Li Hao, Xu Hongen, Du Hongmei, Guo Yaqing, Gao Jinshuang, Yuan Erfeng, Song Liying, Wang Yu, Shi Qianqian, Yu HaiYang, Yuan Enwu, Zhao Xin, Zhang Linlin
Аннотация
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/ .
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/ .