Analysis of differentially expressed genes in placental tissues of preeclampsia patients using microarray combined with the Connectivity Map database

Placenta. 2013 Dec;34(12):1190-5. doi: 10.1016/j.placenta.2013.09.013. Epub 2013 Oct 6.

Abstract

Preeclampsia (PE), which affects 2-7% of human pregnancies, causes significant maternal and neonatal morbidity and mortality. To better understand the pathophysiology of PE, the gene expression profiles of placental tissue from 5 controls and 5 PE patients were assessed using microarray. A total of 224 transcripts were significantly differentially expressed (>2-fold change and q value <0.05, SAM software). Gene Ontology (GO) enrichment analysis indicated that genes involved in hypoxia and oxidative and reductive processes were significantly changed. Three differentially expressed genes (DEGs) involved in these biological processes were further verified by quantitative real-time PCR. Finally, the potential therapeutic agents for PE were explored via the Connectivity Map database. In conclusion, the data obtained in this study might provide clues to better understand the pathophysiology of PE and to identify potential therapeutic agents for PE patients.

Keywords: Connectivity Map database; Expression profiles; Microarray; Preeclampsia.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Asian People
  • Biomarkers / metabolism
  • Case-Control Studies
  • Cell Hypoxia
  • Cesarean Section
  • China
  • Computational Biology
  • Databases, Protein
  • Expert Systems
  • Female
  • Gene Expression Profiling
  • Gene Expression Regulation, Developmental*
  • Gene Ontology
  • Humans
  • Oligonucleotide Array Sequence Analysis
  • Oxidation-Reduction
  • Pre-Eclampsia / metabolism*
  • Pre-Eclampsia / physiopathology
  • Pregnancy
  • Pregnancy Proteins / genetics
  • Pregnancy Proteins / metabolism*
  • Premature Birth
  • Severity of Illness Index

Substances

  • Biomarkers
  • Pregnancy Proteins