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Updated: Mar 1, 2026

Yeast As a Chassis for Developing Functional Assays to Study Human P53
Published on: August 4, 2019
Genetic resonance in the p53 signaling network
Mathias S Heltberg1, Alba Jimenez2, Galit Lahav2
1Niels Bohr Institute, University of Copenhagen, 2100 Copenhagen, Denmark.
This study reveals resonance, a phenomenon previously known in physics, also occurs in gene regulatory networks. The tumor suppressor p53 exhibits resonance, amplifying its response to DNA damage and potentially activating specific genes.
Area of Science:
- Systems Biology
- Molecular Biology
- Biophysics
Background:
- Resonance amplifies system responses to periodic stimuli, a concept established in physics.
- Resonance has not been previously described in gene regulatory networks.
- The tumor suppressor p53 exhibits oscillatory dynamics following DNA damage to regulate growth-inhibitory pathways.
Purpose of the Study:
- To investigate the presence and characteristics of resonance in the p53 gene regulatory network.
- To determine if p53 dynamics exhibit frequency-dependent responses to periodic stimuli.
Main Methods:
- Development of a mathematical framework to predict p53 dynamics under various stimulation conditions.
- Live single-cell imaging to observe p53 oscillations in response to drug pulses.
- Theoretical analysis to explore the functional implications of observed resonance.
Main Results:
- Mathematical model predicted damped oscillations for single stimuli and frequency-dependent amplitudes for periodic stimuli.
- Experimental validation confirmed damped p53 oscillations after a single drug pulse.
- Periodic stimulation revealed frequency-dependent p53 responses, with maximal amplitudes at the natural oscillation frequency.
Conclusions:
- Resonance is identified as a regulatory principle in gene networks, exemplified by p53 dynamics.
- Resonance in p53 may enhance transcriptional responses and enable selective activation of downstream targets.
- This finding links transcription factor oscillations to signal amplification and selective gene activation.
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