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Related Concept Videos

Epigenetic Regulation01:46

Epigenetic Regulation

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Epigenetic mechanisms play an essential role in healthy development. Conversely, precisely regulated epigenetic mechanisms are disrupted in diseases like cancer.
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Related Experiment Video

Updated: Dec 30, 2025

Methyl-binding DNA capture Sequencing for Patient Tissues
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Methyl-binding DNA capture Sequencing for Patient Tissues

Published on: October 31, 2016

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DNA methylation profiling in recurrent miscarriage.

Li Pi1, Zhaofeng Zhang1, Yan Gu2

  • 1NHC Key Lab. of Reproduction Regulation (Shanghai Institute of Planned Parenthood Research), Medical School, Fudan University, Shanghai, China.

Peerj
|January 16, 2020
PubMed
Summary
This summary is machine-generated.

Recurrent miscarriage (RM) research identified 1,799 differentially methylated regions (DMRs) and potential diagnostic biomarkers like ABR and ALCAM. These genes showed higher mRNA expression in RM patients, suggesting a role in the condition.

Keywords:
DNA methylation profilingDifferentially methylated regionsMethylation variable positionsQuantitative real time PCRRecurrent miscarriage

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Area of Science:

  • Epigenetics
  • Reproductive Medicine
  • Genomics

Background:

  • Recurrent miscarriage (RM) presents a significant clinical challenge with unidentified diagnostic biomarkers.
  • Current understanding of the molecular mechanisms underlying RM remains incomplete.

Purpose of the Study:

  • To identify novel diagnostic biomarkers and regulatory targets for recurrent miscarriage (RM).
  • To explore genome-wide DNA methylation patterns associated with RM.

Main Methods:

  • Genome-wide DNA methylation analysis using the Illumina Infinium HumanMethylation450 array.
  • Differential methylation analysis (DMRs) with Limma package in R.
  • Gene Ontology (GO) and pathway enrichment analyses.
  • Validation of candidate gene mRNA expression levels.

Main Results:

  • Identified 1,799 differentially methylated regions (DMRs) between RM patients and healthy controls.
  • Enriched pathways included cell adhesion molecules and ECM-receptor interactions.
  • Genes such as ABR, ALCAM, HLA-E, HLA-G, and ISG15 were identified as potential biomarkers.
  • Candidate genes exhibited significantly higher mRNA expression in the RM group.

Conclusions:

  • The identified DMRs and candidate genes (ABR, ALCAM, HLA-E, HLA-G, ISG15) show potential as diagnostic biomarkers for RM.
  • Elevated mRNA expression of these genes in RM warrants further investigation into their regulatory roles.
  • Additional research is necessary to confirm the specific involvement of these biomarkers in RM pathogenesis.