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A comprehensive analysis of the human placenta transcriptome.

J Saben1, Y Zhong2, S McKelvey3

  • 1Arkansas Children's Nutrition Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA; Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.

Placenta
|December 17, 2013
PubMed
Summary
This summary is machine-generated.

Researchers characterized the term placenta transcriptome using RNA-sequencing to identify novel genes and pathways. This study provides a new reference for placental gene expression and aids in understanding placental development and disease.

Keywords:
DevelopmentFetal tissueGene expressionPregnancyRNA-seq

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Area of Science:

  • Reproductive Biology
  • Genomics
  • Developmental Biology

Background:

  • The placenta is crucial for fetal growth, mediating nutrient and growth factor transfer.
  • Understanding placental gene expression is key to deciphering developmental mechanisms.
  • Dysregulation of placental function is linked to adverse pregnancy outcomes.

Purpose of the Study:

  • To characterize the human term placenta transcriptome using RNA-sequencing.
  • To identify genes uniquely and highly expressed in the placenta.
  • To map the expression of key developmental gene families within the placenta.

Main Methods:

  • RNA-sequencing (RNA-seq) of term placenta from 20 healthy women.
  • Comparative transcriptome analysis against 7 other human tissues.
  • Semi-quantitative RT-PCR and immunohistochemistry for validation.

Main Results:

  • Identified novel placental genes, including QSOX1, DLG5, and SEMA7A.
  • Confirmed high expression of these novel genes in the placental syncytium.
  • Mapped expression of developmental gene families (Fox, Sox, Gata, Tead, Wnt), with FOXO4, GATA3, and WNT7A being highly expressed.

Conclusions:

  • This study presents a comprehensive reference of the term placental transcriptome.
  • Findings highlight novel genes and pathways involved in placental physiology.
  • The data can facilitate the identification of targets for understanding and treating placental diseases.