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Related Experiment Video

Updated: Oct 30, 2025

Single Oocyte Bisulfite Mutagenesis
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Stratifying Cumulus Cell Samples Based on Molecular Profiling to Help Resolve Biomarker Discrepancies and to Predict

Osman El-Maarri1, Muhammad Ahmer Jamil1, Maria Köster2,3

  • 1Institute of Experimental Haematology and Transfusion Medicine, University of Bonn, Sigmund-Freud Str. 25, 53127 Bonn, Germany.

International Journal of Molecular Sciences
|July 2, 2021
PubMed
Summary

Identifying reliable biomarkers for assisted reproductive techniques (ART) is crucial. This study found specific gene markers (NME6, ASAP1) and pathway analysis in cumulus cells can predict ART success and improve patient stratification.

Keywords:
ARTCpG methylation profilingFSHICSIcumulus cellepigenetic biomarkermRNA expression profilingoocyte competencepathways analysisupstream regulators

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Area of Science:

  • Reproductive Biology
  • Genomics
  • Assisted Reproductive Technologies

Background:

  • Assisted reproductive techniques (ART) require efficient selection of viable gametes and embryos.
  • Current molecular biomarkers for ART success lack universal applicability across studies.

Purpose of the Study:

  • To identify predictive biomarkers for ART success by analyzing gene expression and CpG methylation profiles.
  • To correlate genomic data with clinical parameters and pregnancy outcomes in intra-cytoplasmic sperm injection (ICSI).

Main Methods:

  • Generated gene expression and CpG methylation profiles of outer cumulus cells during ICSI.
  • Analyzed associations between genomic data, clinical parameters (spindle, birefringence, hormones, follicle size), and pregnancy results.
  • Utilized pathway analysis to identify reliable predictive markers.

Main Results:

  • Identified NME6 and ASAP1 as single gene markers associated with pregnancy outcomes in the long ovarian stimulation protocol.
  • Correlated these markers with endometrium size and upstream regulators involved in apoptosis and cell proliferation.
  • Highlighted significant inter-individual, inter-treatment, and protocol-specific differences affecting biomarker analysis.

Conclusions:

  • Emphasized the need for sample stratification due to high heterogeneity in ART.
  • Advocated for pathway analysis as a more universal and reliable method for identifying biomarkers of oocyte developmental potential.