Literature DB >> 16986275

p53-Mdm2 loop controlled by a balance of its feedback strength and effective dampening using ATM and delayed feedback.

J Wagner1, L Ma, J J Rice, W Hu, A J Levine, G A Stolovitzky.   

Abstract

When the genomic integrity of a cell is challenged, its fate is determined in part by signals conveyed by the p53 tumour suppressor protein. It was observed recently that such signals are not simple gradations of p53 concentration, but rather a counter-intuitive limit-cycle behaviour. Based on a careful mathematical interpretation of the experimental body of knowledge, we propose a model for the p53 signalling network and characterise the p53 stability and oscillatory dynamics. In our model, ATM, a protein that senses DNA damage, activates p53 by phosphorylation. In its active state, p53 has a decreased degradation rate and an enhanced transactivation of Mdm2, a gene whose protein product Mdm2 tags p53 for degradation. Thus the p53-Mdm2 system forms a negative feedback loop. However, the feedback in this loop is delayed, as the pool of Mdm2 molecules being induced by p53 at a given time will mark for degradation the pool of p53 molecules at some later time, after the Mdm2 molecules have been transcribed, exported out of the nucleus, translated and transported back into the nucleus. The analysis of our model demonstrates how this time lag combines with the ATM-controlled feedback strength and effective dampening of the negative feedback loop to produce limit-cycle oscillations. The picture that emerges is that ATM, once activated by DNA damage, makes the p53-Mdm2 oscillator undergo a supercritical Hopf bifurcation. This approach yields an improved understanding of the global dynamics and bifurcation structure of our time-delayed, negative feedback model and allows for predictions of the behaviour of the p53 system under different perturbations.

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Year:  2005        PMID: 16986275     DOI: 10.1049/ip-syb:20050025

Source DB:  PubMed          Journal:  Syst Biol (Stevenage)        ISSN: 1741-2471


  26 in total

Review 1.  The p53-MDM2 network: from oscillations to apoptosis.

Authors:  Indrani Bose; Bhaswar Ghosh
Journal:  J Biosci       Date:  2007-08       Impact factor: 1.826

2.  Ordered cyclic motifs contribute to dynamic stability in biological and engineered networks.

Authors:  Avi Ma'ayan; Guillermo A Cecchi; John Wagner; A Ravi Rao; Ravi Iyengar; Gustavo Stolovitzky
Journal:  Proc Natl Acad Sci U S A       Date:  2008-11-25       Impact factor: 11.205

3.  Recurrent initiation: a mechanism for triggering p53 pulses in response to DNA damage.

Authors:  Eric Batchelor; Caroline S Mock; Irun Bhan; Alexander Loewer; Galit Lahav
Journal:  Mol Cell       Date:  2008-05-09       Impact factor: 17.970

4.  Harmonic oscillations in homeostatic controllers: Dynamics of the p53 regulatory system.

Authors:  Ingunn W Jolma; Xiao Yu Ni; Ludger Rensing; Peter Ruoff
Journal:  Biophys J       Date:  2010-03-03       Impact factor: 4.033

5.  Decision making of the p53 network: death by integration.

Authors:  Zhiyuan Li; Ming Ni; Jikun Li; Yuping Zhang; Qi Ouyang; Chao Tang
Journal:  J Theor Biol       Date:  2010-12-03       Impact factor: 2.691

6.  Predicted functions of MdmX in fine-tuning the response of p53 to DNA damage.

Authors:  Sohyoung Kim; Mirit I Aladjem; Geoffrey B McFadden; Kurt W Kohn
Journal:  PLoS Comput Biol       Date:  2010-02-05       Impact factor: 4.475

7.  Stress-specific response of the p53-Mdm2 feedback loop.

Authors:  Alexander Hunziker; Mogens H Jensen; Sandeep Krishna
Journal:  BMC Syst Biol       Date:  2010-07-12

8.  Functions of bifans in context of multiple regulatory motifs in signaling networks.

Authors:  Azi Lipshtat; Sudarshan P Purushothaman; Ravi Iyengar; Avi Ma'ayan
Journal:  Biophys J       Date:  2008-01-04       Impact factor: 4.033

9.  A novel ataxia-telangiectasia mutated autoregulatory feedback mechanism in murine embryonic stem cells.

Authors:  Robert G Clyde; Ashley L Craig; Lucas de Breed; James L Bown; Leslie Forrester; Borivoj Vojtesek; Graeme Smith; Ted Hupp; John Crawford
Journal:  J R Soc Interface       Date:  2009-03-04       Impact factor: 4.118

10.  MDM2 phenotypic and genotypic profiling, respective to TP53 genetic status, in diffuse large B-cell lymphoma patients treated with rituximab-CHOP immunochemotherapy: a report from the International DLBCL Rituximab-CHOP Consortium Program.

Authors:  Zijun Y Xu-Monette; Michael B Møller; Alexander Tzankov; Santiago Montes-Moreno; Wenwei Hu; Ganiraju C Manyam; Louise Kristensen; Lei Fan; Carlo Visco; Karen Dybkaer; April Chiu; Wayne Tam; Youli Zu; Govind Bhagat; Kristy L Richards; Eric D Hsi; William W L Choi; J Han van Krieken; Qin Huang; Jooryung Huh; Weiyun Ai; Maurilio Ponzoni; Andrés J M Ferreri; Lin Wu; Xiaoying Zhao; Carlos E Bueso-Ramos; Sa A Wang; Ronald S Go; Yong Li; Jane N Winter; Miguel A Piris; L Jeffrey Medeiros; Ken H Young
Journal:  Blood       Date:  2013-08-27       Impact factor: 22.113

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