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Two feedback loop stochastic model of p53 regulation
Krzysztof PuszyńskiBeata HatTomasz Lipniacki
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Outline
• Introduction• p53|Mdm2 regulatory module• Existing models• p53|Mdm2 model with feedback loop• Model’s equations• Results
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Why p53|Mdm2 ?
• p53 regulates activity of hundreds of genes responsible among others for :- cell cycle arrest- DNA repair processes- apoptosis
• In 50% cancer cases p53 is mutated or not present. In remaining cases genes which are in it’s regulatory module are mutated
• There is over 50 000 experimental citations and only about 100 theoretical work.
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Apoptosis
• Programmed cell death• Characteristic cell
morphology• Safely cell’s fragments
removal• About 50 - 70 billions of
cells die every day due to apoptosis in average adult human
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Apoptosis
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Kohn and Pommier 2005
p53|Mdm2 module
10 or more feedbacks,Over 100 components,Stochastic noises
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Inputs and outputs of the p53|Mdm2 regulatory unit
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Cilliberto 2005
• Three forms of p53• Positive feedback loop to
simplified (PTEN, PIP3 i Akt proteins are absent)
• One stable state and limit cycle
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Ma 2005
• Two forms of p53• The lack of the
positive feedback• One stable state and
limit cycle
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Wee 2006
• One form of p53• Limit cycle
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Zhang 2007
• One form of p53• Neglected delays• One stable state and
limit cycle
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p53|Mdm2 model
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Negative feedback loop
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Positive feedback loop
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Modeling• Deterministic models based on
ODE – fast but can be used on population not the single cell level
• Stochastic models based on Gillespie algorithm – can work on the single cell level but are very slow
• Haseltine and Rawlings approach – fast (modeled by using ODE) and slow (modeled stochastically) reaction channels – fast and can work on the single cell level
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Stochasticity in the p53|Mdm2 model
• IR dose increases the probability of DNA damage occurs
• Level of the p53pn protein increases the probability of the DNA repair and Mdm2 and PTEN gene activation
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Equations
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Equations
Proapoptotic factors
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Stochasticity in modelprobability of gene copy activation:
probability of gene copy deactivation:
transcriptional efficiency of p53(probability that the gene copy is active if p53np(t)=const):
probability that new DSB appears:
propability that the number of DSB decreases by one:
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PTEN off, DNA repair off, dose 5Gy(oscillations)
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PTEN off, DNA repair off, dose 5Gy(a1 – p53 activation, d1 – Mdm2 degradation)
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PTEN on, DNA repair off, dose 5Gy(apoptosis)
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PTEN on, DNA repair off, doses 5Gy(a1 – p53 activation, d1 – Mdm2 degradation)
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PTEN on, DNA repair on(competition)
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PTEN on, DNA on + proapoptotic factors(competition)
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Cell fate
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Cell fate - PTEN on
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Cell fate – PTEN off
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Thank you
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Parameters
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Parameters