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Published on: August 4, 2019

Stochastic and Deterministic Models of Cellular p53 Regulation

Gerald B Leenders1, Jack A Tuszynski

  • 1Department of Physics, University of Alberta Edmonton, AB, Canada.

Frontiers in Oncology
|April 9, 2013
PubMed

Insights

This study explores how random fluctuations (stochasticity) impact cell cycle regulation by p53, MDM2, and MDMX proteins, crucial in cancer. Findings reveal stochasticity significantly alters system behavior and causes synchronized oscillations to desynchronize.

Area of Science:

  • Cellular Biology
  • Biophysics
  • Computational Biology

Background:

  • The tumor suppressor protein p53 is vital for cellular stress response.
  • Overexpression of p53 inhibitors, MDM2 and MDMX, is common in cancer.
  • Understanding these interactions is key to cancer research.

Purpose of the Study:

  • To investigate the role of p53, MDM2, and MDMX in cell cycle regulation using computational methods.
  • To analyze the impact of stochasticity on the behavior of these regulatory systems.
  • To understand how synchronized oscillating systems lose synchronization.

Main Methods:

  • In silico computational modeling techniques were employed.
  • Analysis focused on the p53-MDM2-MDMX regulatory network.
  • Stochastic processes within the cell cycle were mathematically modeled.

Main Results:

  • Stochasticity was found to profoundly influence the behavior of the regulatory system.
  • A general mathematical result was derived describing the desynchronization of oscillating systems.
  • The interactions between p53, MDM2, and MDMX under stochastic conditions were elucidated.

Conclusions:

  • Stochasticity plays a critical role in the dynamics of p53 regulatory networks.
  • Computational approaches are valuable for dissecting complex cellular processes.
  • Findings may inform strategies targeting cancer-related protein interactions.
Keywords:
cancercell cycledesynchronizationdeterministic modelingp53stochastic modeling

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