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Related Experiment Video

Updated: May 8, 2026

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

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

Published on: January 30, 2017

Microarray analysis of preterm preeclampsia.

Huina Liu¹, Junjie Yu¹, Wenjing Yuan¹

¹Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.

Cellular and Molecular Biology (Noisy-Le-Grand, France)

|May 17, 2020

Summary

This summary is machine-generated.

Premature preeclampsia, a leading cause of maternal death, may be driven by specific gene modules and regulators. Identifying these key factors offers potential therapeutic targets for this critical condition.

Keywords:

Drive process Early preeclampsia Imbalance module Module subnetwork Pivot regulator

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

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Published on: January 30, 2017

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

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Trophoblast Cell Recovery from Angiogenesis-Tube Formation Assay for Differentiation Marker Expression Analysis

Trophoblast Cell Recovery from Angiogenesis-Tube Formation Assay for Differentiation Marker Expression Analysis

Published on: November 8, 2024

Area of Science:

Genomics
Molecular Biology
Reproductive Health

Background:

Premature preeclampsia is a significant global cause of maternal mortality.
Understanding its underlying molecular mechanisms is crucial for developing effective interventions.

Purpose of the Study:

To construct and analyze a multi-regulatory dysfunction module for preeclampsia.
To identify pivotal regulators and their roles in disease pathogenesis.

Main Methods:

Differential expression analysis, co-expression analysis, and enrichment analysis were employed.
Gene Ontology (GO) and KEGG pathway analyses were performed on identified modules.
Multivariate analysis was used to identify significant regulators.

Main Results:

23 distinct preeclampsia expression disorder modules involving 3016 genes were identified.
Key regulators, including non-coding RNAs (e.g., miR-182-5p, miR-200b-3p) and transcription factors, were pinpointed.
The identified modules primarily affect apoptotic signaling, inflammatory response, and retinol metabolism.

Conclusions:

A potential driving mechanism for premature preeclampsia involving specific gene modules and pivotal regulators has been elucidated.
These findings suggest novel therapeutic targets for managing preeclampsia.