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Updated: Dec 22, 2025

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A Modified Co-Culture System for Understanding Granulosa-Theca Cell Interactions in the Bovine Ovary
Published on: September 19, 2025
452
Two waves of transcriptomic changes in periovulatory human granulosa cells.
L C Poulsen1, J A Bøtkjær2, O Østrup3
1Fertility Clinic, Zealand University Hospital, Lykkebækvej 14, 4600 Køge, Denmark.
Human Reproduction (Oxford, England)
|May 8, 2020
Summary
Human granulosa cells show two distinct transcriptional peaks during ovulation, primarily involving inflammatory system genes. This study reveals key gene expression changes and potential therapeutic targets for fertility treatments.
Area of Science:
- Reproductive Biology and Endocrinology
- Genomics and Transcriptomics
- Ovarian Physiology
Background:
- Granulosa cell (GC) transcriptomic profiling is crucial for understanding the essential crosstalk between GCs and the oocyte during ovulation and oocyte maturation.
- Detailed transcriptional changes in human GCs during ovulation have not been previously assessed.
Purpose of the Study:
- To investigate the dynamic changes in the human granulosa cell transcriptome during the ovulatory process.
- To identify key genes, pathways, and upstream regulators involved in human ovulation.
Main Methods:
- Prospective cohort study of 50 women undergoing fertility treatment.
- GC samples collected at five time points after ovulation induction (OI) (0, 12, 17, 32, and 36 hours).
- Gene expression analyzed by microarray, with differential expression assessed by ANOVA and pathway enrichment analysis.
Main Results:
- Two major transcriptional peaks observed at 12 and 36 hours post-OI, dominated by inflammatory system genes.
- Downregulated genes were associated with cell cycle and DNA repair pathways.
- Upregulated genes at 12 hours indicated inflammatory response initiation, while 36 hours showed effector functions like angiogenesis and tissue remodeling.
Conclusions:
- Human ovulation involves significant dynamic changes in GC gene expression, with two distinct inflammatory-driven peaks.
- Identified upstream regulators and differentially expressed genes may serve as potential pharmaceutical targets for fertility treatments.
- The study provides a valuable, publicly available dataset for future research into human ovarian function.
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