Proctor2008 - p53/Mdm2 circuit - p53 stablisation by p14ARF

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Proctor2008 - p53/Mdm2 circuit - p53 stabilisation by p14ARF

This model is described in the article:

Proctor CJ, Gray DA.
BMC Syst Biol 2008; 2: 75

Abstract:

BACKGROUND: In individual living cells p53 has been found to be expressed in a series of discrete pulses after DNA damage. Its negative regulator Mdm2 also demonstrates oscillatory behaviour. Attempts have been made recently to explain this behaviour by mathematical models but these have not addressed explicit molecular mechanisms. We describe two stochastic mechanistic models of the p53/Mdm2 circuit and show that sustained oscillations result directly from the key biological features, without assuming complicated mathematical functions or requiring more than one feedback loop. Each model examines a different mechanism for providing a negative feedback loop which results in p53 activation after DNA damage. The first model (ARF model) looks at the mechanism of p14ARF which sequesters Mdm2 and leads to stabilisation of p53. The second model (ATM model) examines the mechanism of ATM activation which leads to phosphorylation of both p53 and Mdm2 and increased degradation of Mdm2, which again results in p53 stabilisation. The models can readily be modified as further information becomes available, and linked to other models of cellular ageing. RESULTS: The ARF model is robust to changes in its parameters and predicts undamped oscillations after DNA damage so long as the signal persists. It also predicts that if there is a gradual accumulation of DNA damage, such as may occur in ageing, oscillations break out once a threshold level of damage is acquired. The ATM model requires an additional step for p53 synthesis for sustained oscillations to develop. The ATM model shows much more variability in the oscillatory behaviour and this variability is observed over a wide range of parameter values. This may account for the large variability seen in the experimental data which so far has examined ARF negative cells. CONCLUSION: The models predict more regular oscillations if ARF is present and suggest the need for further experiments in ARF positive cells to test these predictions. Our work illustrates the importance of systems biology approaches to understanding the complex role of p53 in both ageing and cancer.

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Format
SBML (L2V3)
Related Publication
  • Explaining oscillations and variability in the p53-Mdm2 system.
  • Proctor CJ, Gray DA
  • BMC systems biology , 8/ 2008 , Volume 2 , pages: 75
  • Centre for Integrated Systems Biology of Ageing and Nutrition, Institute for Ageing and Health, Newcastle University, Newcastle upon Tyne, UK. c.j.proctor@ncl.ac.uk
  • In individual living cells p53 has been found to be expressed in a series of discrete pulses after DNA damage. Its negative regulator Mdm2 also demonstrates oscillatory behaviour. Attempts have been made recently to explain this behaviour by mathematical models but these have not addressed explicit molecular mechanisms. We describe two stochastic mechanistic models of the p53/Mdm2 circuit and show that sustained oscillations result directly from the key biological features, without assuming complicated mathematical functions or requiring more than one feedback loop. Each model examines a different mechanism for providing a negative feedback loop which results in p53 activation after DNA damage. The first model (ARF model) looks at the mechanism of p14ARF which sequesters Mdm2 and leads to stabilisation of p53. The second model (ATM model) examines the mechanism of ATM activation which leads to phosphorylation of both p53 and Mdm2 and increased degradation of Mdm2, which again results in p53 stabilisation. The models can readily be modified as further information becomes available, and linked to other models of cellular ageing.The ARF model is robust to changes in its parameters and predicts undamped oscillations after DNA damage so long as the signal persists. It also predicts that if there is a gradual accumulation of DNA damage, such as may occur in ageing, oscillations break out once a threshold level of damage is acquired. The ATM model requires an additional step for p53 synthesis for sustained oscillations to develop. The ATM model shows much more variability in the oscillatory behaviour and this variability is observed over a wide range of parameter values. This may account for the large variability seen in the experimental data which so far has examined ARF negative cells.The models predict more regular oscillations if ARF is present and suggest the need for further experiments in ARF positive cells to test these predictions. Our work illustrates the importance of systems biology approaches to understanding the complex role of p53 in both ageing and cancer.
Contributors
Carole Proctor

Metadata information

is
BioModels Database MODEL8142536273
BioModels Database BIOMD0000000189
isDescribedBy
PubMed 18706112
hasTaxon
Taxonomy Homo sapiens
Curation status
Curated
Name Description Size Actions

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  • Model originally submitted by : Carole Proctor
  • Submitted: Sep 5, 2008 4:30:23 PM
  • Last Modified: Apr 11, 2016 5:06:48 PM
Revisions
  • Version: 2 public model Download this version
    • Submitted on: Apr 11, 2016 5:06:48 PM
    • Submitted by: Carole Proctor
    • With comment: Current version of Proctor2008 - p53/Mdm2 circuit - p53 stablisation by p14ARF
  • Version: 1 public model Download this version
    • Submitted on: Sep 5, 2008 4:30:23 PM
    • Submitted by: Carole Proctor
    • With comment: Original import of BIOMD0000000189.xml.origin
Curator's comment:
(added: 05 Sep 2008, 16:20:29, updated: 05 Sep 2008, 16:20:29)
Comment: Comment: The model is simulated and integrated using SBML OdeSolver with options (-n --printstep 1e4 --error 1e-14 -z). Figure 12 (for ARF model) of the original paper (Procter CJ, 2008) is reproduced in here.