Using FRET to Define Cdk1-Dependent Ordering of Events During Exit from Second Meiotic M-Phase in Oocytes

Chenxi Zhou1, Yunan Ye1, Hayden Homer2

  • 1Christopher Chen Oocyte Biology Research Laboratory, UQ Centre for Clinical Research, Herston, QLD, Australia.

Insights

Errors in M-phase exit cause cell death and aneuploidy. This study details a new protocol using a Cdk1 Fluorescence Resonance Energy Transfer (FRET) biosensor to analyze Cdk1 activity during fertilization in live mouse oocytes.

Area of Science:

  • Cell Biology
  • Developmental Biology
  • Molecular Biology

Background:

  • Exit from M-phase is critical for cell viability, with errors leading to aneuploidy, cancer, and pregnancy failure.
  • Oocyte meiosis II (MII) exit is a unique, sperm-triggered event involving pronuclear formation, but coordination mechanisms are poorly understood.
  • Cyclin-dependent kinase 1 (Cdk1) inactivation drives M-phase exit, yet its precise role in MII exit remains unclear due to experimental difficulties.

Purpose of the Study:

  • To develop and present a protocol for detailed analysis of Cdk1 activity during fertilization in live mouse oocytes.
  • To investigate the coordination of molecular events during MII exit using advanced imaging techniques.

Main Methods:

  • Utilized a Cdk1 Fluorescence Resonance Energy Transfer (FRET) biosensor for real-time monitoring of Cdk1 activity.
  • Employed time-lapse imaging to capture dynamic changes during fertilization and MII exit.
  • Developed a protocol for in-depth analysis of Cdk1 activity in live mouse oocytes.

Main Results:

  • Successfully detailed a protocol for analyzing Cdk1 activity throughout fertilization in live mouse oocytes.
  • Demonstrated the utility of FRET biosensors and time-lapse imaging for studying challenging cell-cycle events.
  • Provided new insights into the orchestration of MII exit by Cdk1.

Conclusions:

  • The developed protocol enables robust interrogation of Cdk1 activity during fertilization.
  • Time-lapse FRET imaging is a powerful tool for dissecting complex cell-cycle regulation.
  • Further understanding of MII exit mechanisms can inform reproductive health and cancer research.

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