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Genome-based expression profiling as a single standardized microarray platform for the diagnosis of endometrial disorder: an array of 126-gene model

Ling-Hong Tseng, Ilen Chen, Ming-Yang Chen, Hong Yan, Chao-Nin Wang, Chyi-Long Lee*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Objective: To assess the molecular signatures underlying endometrial disorder using cDNA microarray. 
Design: Gene expression-based oligonucleotide array of the normal endometrium. 
Setting: University hospital. 
Patient(s): Humans. 
Intervention(s): Endometrial tissues were obtained from 28 normal cycling women undergoing endometrial biopsy. RNA was extracted from each tissue and all labeled samples were hybridized to Affymetrix Human U133 plus 2.0 array. 
Main Outcome Measure(s): Transcriptional response. 
Result(s): Hierarchical cluster analysis with the Mahalanobis distance revealed a "126-gene" model, which are up-regulated at mid-secretory phase, moderately expressed at late-secretary phase, and down-regulated at late-secretory phase. Furthermore, the mechanisms underlying the receptivity of human endometrium at mid-secretary phase can be summarized: first, complex metabolic reactions are involved. Second, the activation of complement and coagulation cascades promotes muscle contraction, chemotaxis, phagocyte recruitment, and peritoneal inflammation. Third, Ephrin A-mediated axon guidance promotes retrograde menstruation. Fourth, autophagic degradation is suggested to be responsible for the new blood vessel formation. In addition, DKK1 is up-regulated, indicating that WNT signaling pathway may contribute to the development of endometrial disorders. 
Conclusion(s): The success of this innovation has supported the use of microarray-based genome expression profiling as a single standardized platform for diagnosis of endometrial disorders. © 2010 American Society for Reproductive Medicine.
Original languageEnglish
Pages (from-to)114-119
JournalFertility and Sterility
Volume94
Issue number1
Online published27 Mar 2009
DOIs
Publication statusPublished - Jun 2010
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Research Keywords

  • cDNA microarray
  • endometrial disorder
  • Human endometrium
  • menstrual cycle

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