Transcriptional changes of mouse ovary during follicle initial or cyclic recruitment mediated by extra hormone

Xuejiao Bian1, Qin Xie1, Yuxiao Zhou2

  • 1Department of Assisted Reproduction, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China.

Life Sciences
|November 3, 2020
PubMed
Abstract

Insights

This study reveals key gene expression changes during mouse folliculogenesis, identifying master transcription factors. These findings offer insights into controlled ovarian stimulation for infertility treatment.

Area of Science:

  • Reproductive Biology
  • Genomics
  • Molecular Endocrinology

Background:

  • Folliculogenesis, the development of ovarian follicles, involves gonadotropin-independent and -dependent stages.
  • Disruptions in folliculogenesis can lead to oocyte retrieval failure in clinical settings.
  • The molecular mechanisms regulating folliculogenesis remain incompletely understood.

Purpose of the Study:

  • To investigate the transcriptome dynamics during mouse folliculogenesis.
  • To identify molecular components, including transcription factors, that regulate this process.
  • To provide insights for improving controlled ovarian stimulation in infertility treatments.

Main Methods:

  • Ovaries from mice at different developmental stages (P3, P20) and after exogenous gonadotropin treatment (P22) were collected.
  • RNA sequencing (RNA-seq) was performed to analyze transcriptome variance.
  • Differential gene expression (DEG) analysis and pathway enrichment analysis were conducted.

Main Results:

  • 1883 and 626 differentially expressed genes (DEGs) were identified for specific stages.
  • Distinct biological processes, including metabolism, gene expression, cell cycle, immune system, and DNA methylation, were enriched.
  • Eight master transcription factors (Runx1, Stat3, Sox3, Pou5f1, Gata4, Foxl2, Cebpb, Esr1) were identified as key regulators.

Conclusions:

  • The study elucidated temporal transcriptional reprogramming during folliculogenesis.
  • Gene expression dynamics, influenced by hormonal treatment, were revealed.
  • Findings may inform future strategies for controlled ovarian stimulation in assisted reproductive technologies.

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