Literature DB >> 16002698

Effects of Bcl-2 levels on Fas signaling-induced caspase-3 activation: molecular genetic tests of computational model predictions.

Fei Hua1, Melanie G Cornejo, Michael H Cardone, Cynthia L Stokes, Douglas A Lauffenburger.   

Abstract

Fas-induced apoptosis is a critical process for normal immune system development and function. Although many molecular components in the Fas signaling pathway have been identified, a systematic understanding of how they work together to determine network dynamics and apoptosis itself has remained elusive. To address this, we generated a computational model for interpreting and predicting effects of pathway component properties. The model integrates current information concerning the signaling network downstream of Fas activation, through both type I and type II pathways, until activation of caspase-3. Unknown parameter values in the model were estimated using experimental data obtained from human Jurkat T cells. To elucidate critical signaling network properties, we examined the effects of altering the level of Bcl-2 on the kinetics of caspase-3 activation, using both overexpression and knockdown in the model and experimentally. Overexpression was used to distinguish among alternative hypotheses for inhibitory binding interactions of Bcl-2 with various components in the mitochondrial pathway. In comparing model simulations with experimental results, we find the best agreement when Bcl-2 blocks the release of cytochrome c by binding to both Bax and truncated Bid instead of Bax, truncated Bid, or Bid alone. Moreover, although Bcl-2 overexpression strongly reduces caspase-3 activation, Bcl-2 knockdown has a negligible effect, demonstrating a general model finding that varying the expression levels of signal molecules frequently has asymmetric effects on the outcome. Finally, we demonstrate that the relative dominance of type I vs type II pathways can be switched by varying particular signaling component levels without changing network structure.

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Year:  2005        PMID: 16002698     DOI: 10.4049/jimmunol.175.2.985

Source DB:  PubMed          Journal:  J Immunol        ISSN: 0022-1767            Impact factor:   5.422


  46 in total

1.  Integrated mechanistic and data-driven modelling for multivariate analysis of signalling pathways.

Authors:  Fei Hua; Sampsa Hautaniemi; Rayka Yokoo; Douglas A Lauffenburger
Journal:  J R Soc Interface       Date:  2006-08-22       Impact factor: 4.118

2.  Modeling of the role of a Bax-activation switch in the mitochondrial apoptosis decision.

Authors:  Chun Chen; Jun Cui; Haizhu Lu; Rui Wang; Shuai Zhang; Pingping Shen
Journal:  Biophys J       Date:  2007-03-30       Impact factor: 4.033

3.  Monte Carlo simulation of cell death signaling predicts large cell-to-cell stochastic fluctuations through the type 2 pathway of apoptosis.

Authors:  Subhadip Raychaudhuri; Eric Willgohs; Thuc-Nghi Nguyen; Elaine M Khan; Tzipora Goldkorn
Journal:  Biophys J       Date:  2008-07-18       Impact factor: 4.033

4.  Identifying fragilities in biochemical networks: robust performance analysis of Fas signaling-induced apoptosis.

Authors:  Jason E Shoemaker; Francis J Doyle
Journal:  Biophys J       Date:  2008-06-06       Impact factor: 4.033

5.  The antiapoptotic effect of mesenchymal stem cell transplantation on ischemic myocardium is enhanced by anoxic preconditioning.

Authors:  Aina He; Yun Jiang; Chun Gui; Yong Sun; Jiahui Li; Jian-an Wang
Journal:  Can J Cardiol       Date:  2009-06       Impact factor: 5.223

6.  Computational analysis of dynamical responses to the intrinsic pathway of programmed cell death.

Authors:  Tongli Zhang; Paul Brazhnik; John J Tyson
Journal:  Biophys J       Date:  2009-07-22       Impact factor: 4.033

Review 7.  Measuring and modeling apoptosis in single cells.

Authors:  Sabrina L Spencer; Peter K Sorger
Journal:  Cell       Date:  2011-03-18       Impact factor: 41.582

8.  Systems analysis of cancer cell heterogeneity in caspase-dependent apoptosis subsequent to mitochondrial outer membrane permeabilization.

Authors:  Jasmin Schmid; Heiko Dussmann; Gerhardt J Boukes; Lorna Flanagan; Andreas U Lindner; Carla L O'Connor; Markus Rehm; Jochen H M Prehn; Heinrich J Huber
Journal:  J Biol Chem       Date:  2012-10-04       Impact factor: 5.157

9.  Mitochondrial VDAC and hexokinase together modulate plant programmed cell death.

Authors:  Ashwini Godbole; Ashvini Kumar Dubey; Palakolanu S Reddy; M Udayakumar; Mathew K Mathew
Journal:  Protoplasma       Date:  2012-12-18       Impact factor: 3.356

10.  Neuroglobin protects nerve cells from apoptosis by inhibiting the intrinsic pathway of cell death.

Authors:  Subhadip Raychaudhuri; Joanna Skommer; Kristen Henty; Nigel Birch; Thomas Brittain
Journal:  Apoptosis       Date:  2010-04       Impact factor: 4.677

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