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Updated: Nov 5, 2025

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Network analysis reveals important genes in human placenta.

Peihong Lin1, Xuedan Lai1, Ling Wu1

  • 1Department of Gynaecology and Obstetrics, Fuzhou First Hospital Affiliated to Fujian Medical University, Fuzhou, China.

The Journal of Obstetrics and Gynaecology Research
|May 18, 2021
PubMed
Summary
This summary is machine-generated.

Network analysis identified 99 key placental genes, including MIB2, UBB, ACTG1, and SOD1, crucial for understanding and potentially treating placenta-related diseases.

Keywords:
cytotrophoblastextravillous trophoblastfetal growth restrictiongestational diabetes mellituspreeclampsiapreterm birthsyncytiotrophoblasttranscriptomevillous stromal cell

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • The placenta is vital for fetal development.
  • Understanding placental gene function is crucial for diagnosing and treating pregnancy complications.

Purpose of the Study:

  • To identify key genes in placental tissue using network analysis.
  • To explore the role of these genes in placenta-related diseases.

Main Methods:

  • RNA-Seq data was used to screen placenta-expressed genes.
  • Protein-protein interaction data from STRING was analyzed.
  • Google PageRank algorithm identified important genes within the placental network.

Main Results:

  • The top 99 genes with high PageRank were identified as important.
  • GAPDH exhibited the highest PageRank.
  • Differential expression patterns were observed for genes like FN1 and HSPA4 in placental cell types.
  • MIB2, TLR4, and UBB were consistently altered in preeclampsia (PE).
  • UBB and ACTG1 were downregulated in fetal growth restriction (FGR).
  • SOD1 was downregulated in preterm birth placenta.

Conclusions:

  • The study highlights the significance of identified genes in placenta-related diseases.
  • MIB2, UBB, ACTG1, and SOD1 are proposed as potential biomarkers for diagnosis and therapeutic targets.