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Genomics

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

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Updated: Jan 16, 2026

Author Spotlight: Modeling an Aspect of Preeclampsia in Female Mice Using Hypoxic Human Placenta-Derived Small Extracellular Vesicles

Author Spotlight: Modeling an Aspect of Preeclampsia in Female Mice Using Hypoxic Human Placenta-Derived Small Extracellular Vesicles

Published on: January 26, 2024

CPMOAD: comprehensive preeclampsia multi-omics analysis database.

Yang Fang^1,2,3, Mengzhe Fan⁴, Hao Li^5,6

¹Department of Laboratory Medicine, The Third Affiliated Hospital of Zhengzhou University, 7 Kangfu Qian Street, Zhengzhou, 450052, Henan, People's Republic of China. yangfangscu@gmail.com.

Journal of Translational Medicine

|October 1, 2025

Summary

This summary is machine-generated.

A new database, CPMOAD, integrates multi-omics data for preeclampsia (PE) research. This comprehensive resource aids in discovering molecular mechanisms and biomarkers for improved maternal and fetal health outcomes in PE.

Keywords:

Database Interactive analysis Multi-omics Preeclampsia

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Transcriptome Profiling of In-Vivo Produced Bovine Pre-implantation Embryos Using Two-color Microarray Platform

Published on: January 30, 2017

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.