Literature DB >> 16849229

Elucidating the digital control mechanism for DNA damage repair with the p53-Mdm2 system: single cell data analysis and ensemble modelling.

Babatunde A Ogunnaike1.   

Abstract

Recent experimental evidence about DNA damage response using the p53-Mdm2 system has raised some fundamental questions about the control mechanism employed. In response to DNA damage, an ensemble of cells shows a damped oscillation in p53 expression whose amplitude increases with increased DNA damage--consistent with 'analogue' control. Recent experimental results, however, show that the single cell response is a series of discrete pulses in p53; and with increase in DNA damage, neither the height nor the duration of the pulses change, but the mean number of pulses increase--consistent with 'digital' control. Here we present a system engineering model that uses published data to elucidate this mechanism and resolve the dilemma of how digital behaviour at the single cell level can manifest as analogue ensemble behaviour. First, we develop a dynamic model of the p53-Mdm2 system that produces non-oscillatory responses to a stress signal. Second, we develop a probability model of the distribution of pulses in a cell population, and combine the two with the simplest digital control algorithm to show how oscillatory responses whose amplitudes grow with DNA damage can arise from single cell behaviour in which each single pulse response is independent of the extent of DNA damage. A stochastic simulation of the hypothesized control mechanism reproduces experimental observations remarkably well.

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Year:  2006        PMID: 16849229      PMCID: PMC1618486          DOI: 10.1098/rsif.2005.0077

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  12 in total

1.  Surfing the p53 network.

Authors:  B Vogelstein; D Lane; A J Levine
Journal:  Nature       Date:  2000-11-16       Impact factor: 49.962

Review 2.  The Mre11 complex: at the crossroads of dna repair and checkpoint signalling.

Authors:  Damien D'Amours; Stephen P Jackson
Journal:  Nat Rev Mol Cell Biol       Date:  2002-05       Impact factor: 94.444

3.  Dynamics of the p53-Mdm2 feedback loop in individual cells.

Authors:  Galit Lahav; Nitzan Rosenfeld; Alex Sigal; Naama Geva-Zatorsky; Arnold J Levine; Michael B Elowitz; Uri Alon
Journal:  Nat Genet       Date:  2004-01-18       Impact factor: 38.330

4.  Oscillatory expression of Hes1, p53, and NF-kappaB driven by transcriptional time delays.

Authors:  Nicholas A M Monk
Journal:  Curr Biol       Date:  2003-08-19       Impact factor: 10.834

Review 5.  Targeting the checkpoint kinases: chemosensitization versus chemoprotection.

Authors:  Bin-Bing S Zhou; Jiri Bartek
Journal:  Nat Rev Cancer       Date:  2004-03       Impact factor: 60.716

6.  Cell biology. Guiding ATM to broken DNA.

Authors:  Robert T Abraham; Randal S Tibbetts
Journal:  Science       Date:  2005-04-22       Impact factor: 47.728

Review 7.  Regulation of p53 in response to DNA damage.

Authors:  N D Lakin; S P Jackson
Journal:  Oncogene       Date:  1999-12-13       Impact factor: 9.867

Review 8.  Mdm2: keeping p53 under control.

Authors:  J Piette; H Neel; V Maréchal
Journal:  Oncogene       Date:  1997-08-28       Impact factor: 9.867

Review 9.  MDM2--master regulator of the p53 tumor suppressor protein.

Authors:  J Momand; H H Wu; G Dasgupta
Journal:  Gene       Date:  2000-01-25       Impact factor: 3.688

10.  Generation of oscillations by the p53-Mdm2 feedback loop: a theoretical and experimental study.

Authors:  R Lev Bar-Or; R Maya; L A Segel; U Alon; A J Levine; M Oren
Journal:  Proc Natl Acad Sci U S A       Date:  2000-10-10       Impact factor: 11.205

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  3 in total

1.  Introduction: statistical mechanics of molecular and cellular biological systems.

Authors:  Tom McLeish
Journal:  J R Soc Interface       Date:  2006-02-22       Impact factor: 4.118

2.  Mathematical modeling to distinguish cell cycle arrest and cell killing in chemotherapeutic concentration response curves.

Authors:  Salaheldin S Hamed; Charles M Roth
Journal:  J Pharmacokinet Pharmacodyn       Date:  2011-04-27       Impact factor: 2.745

Review 3.  Systems engineering medicine: engineering the inflammation response to infectious and traumatic challenges.

Authors:  Robert S Parker; Gilles Clermont
Journal:  J R Soc Interface       Date:  2010-02-10       Impact factor: 4.118

  3 in total

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