Literature DB >> 17936275

Robustness analysis identifies the plausible model of the Bcl-2 apoptotic switch.

Chun Chen1, Jun Cui, Wei Zhang, Pingping Shen.   

Abstract

In this paper two competing models of the B-cell lymphoma 2 (Bcl-2) apoptotic switch were contrasted by mathematical modeling and robustness analysis. Since switch-like behaviors are required for models that attempt to explain the all-or-none decisions of apoptosis, ultrasensitivity was employed as a criterion for comparison. Our results successfully exhibit that the direct activation model operates more reliably to achieve a robust switch in cellular conditions. Moreover, by investigating the robustness of other important features of the Bcl-2 apoptotic switch (including low Bax basal activation, inhibitory role of anti-apoptotic proteins and insensitivity to small perturbations) the direct activation model was further supported. In all, we identified the direct activation model as a more plausible explanation for the Bcl-2 apoptotic switch.

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Year:  2007        PMID: 17936275     DOI: 10.1016/j.febslet.2007.09.063

Source DB:  PubMed          Journal:  FEBS Lett        ISSN: 0014-5793            Impact factor:   4.124


  17 in total

1.  Systems analysis of phosphorylation-regulated Bcl-2 interactions establishes a model to reconcile the controversy over the significance of Bcl-2 phosphorylation.

Authors:  Ting Song; Peiran Wang; Xiaoyan Yu; Anhui Wang; Gaobo Chai; Yudan Fan; Zhichao Zhang
Journal:  Br J Pharmacol       Date:  2018-12-26       Impact factor: 8.739

2.  Steady states and dynamics of urokinase-mediated plasmin activation in silico and in vitro.

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3.  Molecular analysis of functional redundancy among anti-apoptotic Bcl-2 proteins and its role in cancer cell survival.

Authors:  Joshua M Eichhorn; Sarah E Alford; Nandini Sakurikar; Timothy C Chambers
Journal:  Exp Cell Res       Date:  2014-02-17       Impact factor: 3.905

4.  Plasmin triggers a switch-like decrease in thrombospondin-dependent activation of TGF-β1.

Authors:  Lakshmi Venkatraman; Ser-Mien Chia; Balakrishnan Chakrapani Narmada; Jacob K White; Sourav S Bhowmick; C Forbes Dewey; Peter T So; Lisa Tucker-Kellogg; Hanry Yu
Journal:  Biophys J       Date:  2012-09-05       Impact factor: 4.033

5.  Modeling the basal dynamics of p53 system.

Authors:  Tingzhe Sun; Weiwei Yang; Jing Liu; Pingping Shen
Journal:  PLoS One       Date:  2011-11-16       Impact factor: 3.240

6.  Programming biological models in Python using PySB.

Authors:  Carlos F Lopez; Jeremy L Muhlich; John A Bachman; Peter K Sorger
Journal:  Mol Syst Biol       Date:  2013       Impact factor: 11.429

7.  Properties of cell death models calibrated and compared using Bayesian approaches.

Authors:  Hoda Eydgahi; William W Chen; Jeremy L Muhlich; Dennis Vitkup; John N Tsitsiklis; Peter K Sorger
Journal:  Mol Syst Biol       Date:  2013       Impact factor: 11.429

8.  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

9.  Dynamical systems analysis of mitochondrial BAK activation kinetics predicts resistance to BH3 domains.

Authors:  Claire Grills; Nyree Crawford; Alex Chacko; Patrick G Johnston; Francesca O'Rourke; Dean A Fennell
Journal:  PLoS One       Date:  2008-08-22       Impact factor: 3.240

10.  Two independent positive feedbacks and bistability in the Bcl-2 apoptotic switch.

Authors:  Jun Cui; Chun Chen; Haizhu Lu; Tingzhe Sun; Pingping Shen
Journal:  PLoS One       Date:  2008-01-23       Impact factor: 3.240

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