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Updated: Jul 11, 2026

Yeast As a Chassis for Developing Functional Assays to Study Human P53
Published on: August 4, 2019
Analysis of a minimal model for p53 oscillations
Samuel Bottani1, Basile Grammaticos
1Laboratoire Matières et Systèmes Complexes, Université Paris 7, CNRS UMR 7057, c.c. 7056, 75205 Paris Cedex 13, France. samuel.bottani@univ-paris-diderot.fr
Cellular regulation dynamics are illuminated by studying genetic network oscillations. This research models the p53-Mdm2 feedback loop, revealing how protein degradation rates influence stable states and oscillations.
Area of Science:
- Systems Biology
- Molecular Biology
- Biophysics
Background:
- Oscillatory behaviors are crucial for understanding cellular regulation dynamics.
- The p53 tumor suppressor exhibits complex oscillatory responses to irradiation stress, as reported by Alon's team.
- Existing models for the p53 system primarily rely on negative feedback loops.
Purpose of the Study:
- To investigate oscillations and stability in a deterministic time-delayed differential model of the core p53 expression circuit.
- To analyze a minimal model based on well-established biomolecular regulations.
- To explore the impact of protein degradation rates on system dynamics.
Main Methods:
- Development of a deterministic time-delayed differential equation model for the p53-Mdm2 feedback loop.
- Analysis of bifurcations between stable steady states and oscillatory behaviors.
- Simulation and theoretical investigation of the core circuit dynamics.
Main Results:
- The model demonstrates the existence of bifurcations depending on protein degradation rates.
- Both stable steady states and oscillatory behaviors were observed.
- These dynamics occur in the presence and absence of irradiation stress.
Conclusions:
- Protein degradation rates are critical determinants of the p53 system's stability and oscillatory nature.
- The minimal model effectively captures key aspects of p53 network dynamics.
- This work contributes to understanding cellular responses to stress through mathematical modeling.
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