Skip to main navigation Skip to search Skip to main content

Modeling mammalian meiosis with pluripotent stem cells: progress and challenges

  • Feng Yang
  • , Jiarui Gu
  • , Haiying Chen
  • , Yuying Wang
  • , Wenqiong Huang
  • , Xiaoli Chen
  • , Meijun Liu
  • , Xianqiang Yu*
  • , Kenneth Chat Pan Cheung*
  • *Corresponding author for this work

Research output: Contribution to journal › Journal article › peer-review

Abstract

Meiosis is a specialized cell division producing haploid gametes from diploid germ cells and is vital to sexual reproduction in mammals. This process entails carefully regulated molecular events including double-strand break repair, remodeling of the chromatin and the segregation of the chromosomes. There have been significant advances in understanding the core mechanisms through genetics and imaging techniques. Nevertheless, studying human meiosis is still difficult owing to limited access to tissue and interspecies differences in models using animals. Pluripotent stem cells (PSCs), namely embryonic and induced pluripotent stem cells, have turned out to be new in vitro models to model early germ cell development and meiotic progress in recent times. This article outlines the molecular regulation of meiosis in mammals and discusses the way in which the use of PSC-based models has begun to supplement classical methodologies in the study of meiosis.
Original languageEnglish
Article number25
Number of pages11
JournalClinical Epigenetics
Volume18
Issue number1
Early online date9 Jan 2026
DOIs
Publication statusE-pub ahead of print - 9 Jan 2026

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

User-Defined Keywords

  • Chromatin remodeling
  • Chromosome segregation
  • Germ cell
  • Meiosis
  • Pluripotent stem cells

Fingerprint

Dive into the research topics of 'Modeling mammalian meiosis with pluripotent stem cells: progress and challenges'. Together they form a unique fingerprint.

Cite this