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A theory for controlling cell cycle dynamics using a reversibly binding inhibitor

T S Gardner1, M Dolnik, J J Collins

  • 1Center for BioDynamics and Department of Biomedical Engineering, Boston University, 44 Cummington Street, Boston, MA 02215, USA.

Proceedings of the National Academy of Sciences of the United States of America
|November 25, 1998
PubMed
Summary

Scientists modeled cell division cycle (CDC) dynamics to control cell division frequency and size. Artificially expressing a protein that inactivates CDC proteins offers a practical method for tuning cell cycle characteristics in vivo.

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Area of Science:

  • Cell Biology
  • Biophysics
  • Mathematical Biology

Background:

  • Precise control over cell division is crucial for development and tissue homeostasis.
  • Existing methods for cell cycle manipulation are often complex or lack fine-tuning capabilities.

Purpose of the Study:

  • To demonstrate a novel mechanism for controlling cell division frequency and cell size.
  • To explore the application of mathematical modeling in understanding cell cycle regulation.

Main Methods:

  • Mathematical modeling of cell division cycle (CDC) dynamics.
  • Simulating the effects of an artificially expressed protein that reversibly binds and inactivates CDC proteins.

Main Results:

  • The model shows that regulating the synthesis, binding, or equilibrium of the binding protein can alter CDC oscillation frequency.

Related Experiment Videos

  • In models with size-control checkpoints, this binding reaction can modulate mean cell mass.
  • The proposed control scheme is general and effective across different cell division models.

    • Conclusions:

    • Artificial expression of a single protein offers a practical and tunable method for controlling cell division frequency and size in vivo.
    • Mathematical modeling provides valuable insights into designing biological control systems.
    • This approach has potential applications in developmental biology and regenerative medicine.