Literature DB >> 16650876

A mathematical model for apoptosome assembly: the optimal cytochrome c/Apaf-1 ratio.

Jun Nakabayashi1, Akira Sasaki.   

Abstract

Apoptosis, a highly conserved form of cell suicide, is regulated by apoptotic signals and their transduction with caspases, a family of cystein proteases. Caspases are constantly expressed in the normal cells as inactive pro-enzymes. The activity of caspase is regulated by the proteolysis. Sequential proteolytic reactions of caspases are needed to execute apoptosis. Mitochondrial pathway is one of these apoptotic signal pathways, in which caspases are oligomerized into characteristic heptamer structure, called apoptosome, with caspase-9 that activate the effector caspases for apoptosis. To investigate the dynamics of signal transduction pathway regulated by oligomerization, we construct a mathematical model for Apaf-1 heptamer assembly process. The model first reveals that intermediate products can remain unconverted even after all assemble reactions are completed. The second result of the model is that the conversion efficiency of Apaf-1 heptamer assembly is maximized when the initial concentration of cytochrome c is equal to that of Apaf-1. When the concentration of cytochrome c is sufficiently larger or smaller than that of Apaf-1, the final Apaf-1 heptamer production is decreased, because intermediate Apaf-1 oligomers (tetramers and bigger oligomers), which themselves are unable to form active heptamer, accumulate too fast in the cells, choking a smooth production of Apaf-1 heptamer. Slow activation of Apaf-1 monomers and small oligomers increase the conversion efficiency. We also study the optimal number of subunits comprising an active oligomer that maximize the conversion efficiency in assembly process, and found that the tetramer is the optimum.

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Year:  2006        PMID: 16650876     DOI: 10.1016/j.jtbi.2006.02.022

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  9 in total

1.  Optimizing ring assembly reveals the strength of weak interactions.

Authors:  Eric J Deeds; John A Bachman; Walter Fontana
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-30       Impact factor: 11.205

2.  Protective Effect of L-Theanine on Cadmium-Induced Apoptosis in PC12 Cells by Inhibiting the Mitochondria-Mediated Pathway.

Authors:  Peiling Ben; Zhengping Zhang; Chunxia Xuan; Shasha Sun; Lei Shen; Yanhong Gao; Xiang Cao; Yi Zhou; Lei Lan; Zhimin Yin; Lan Luo
Journal:  Neurochem Res       Date:  2015-07-12       Impact factor: 3.996

3.  Mathematical modeling of the formation of apoptosome in intrinsic pathway of apoptosis.

Authors:  Seongho Ryu; Shih-Chieh Lin; Nadia Ugel; Marco Antoniotti; Bud Mishra
Journal:  Syst Synth Biol       Date:  2009-03-31

4.  Role of Bax/Bcl-2 family members in green tea polyphenol induced necroptosis of p53-deficient Hep3B cells.

Authors:  Weiping Lin; Sun Tongyi
Journal:  Tumour Biol       Date:  2014-05-19

Review 5.  The apoptosome: emerging insights and new potential targets for drug design.

Authors:  Marcello D'Amelio; Elisa Tino; Francesco Cecconi
Journal:  Pharm Res       Date:  2007-08-03       Impact factor: 4.200

6.  Modeling a snap-action, variable-delay switch controlling extrinsic cell death.

Authors:  John G Albeck; John M Burke; Sabrina L Spencer; Douglas A Lauffenburger; Peter K Sorger
Journal:  PLoS Biol       Date:  2008-12-02       Impact factor: 8.029

7.  Construction and analysis of a modular model of caspase activation in apoptosis.

Authors:  Heather A Harrington; Kenneth L Ho; Samik Ghosh; K C Tung
Journal:  Theor Biol Med Model       Date:  2008-12-10       Impact factor: 2.432

8.  Modeling heterogeneous responsiveness of intrinsic apoptosis pathway.

Authors:  Hsu Kiang Ooi; Lan Ma
Journal:  BMC Syst Biol       Date:  2013-07-23

Review 9.  From computational modelling of the intrinsic apoptosis pathway to a systems-based analysis of chemotherapy resistance: achievements, perspectives and challenges in systems medicine.

Authors:  M L Würstle; E Zink; J H M Prehn; M Rehm
Journal:  Cell Death Dis       Date:  2014-05-29       Impact factor: 8.469

  9 in total

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