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Mathematical Modeling Identifies Inhibitors of Apoptosis as Mediators of Positive Feedback and Bistability

Overview of attention for article published in PLoS Computational Biology, September 2006
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Title
Mathematical Modeling Identifies Inhibitors of Apoptosis as Mediators of Positive Feedback and Bistability
Published in
PLoS Computational Biology, September 2006
DOI 10.1371/journal.pcbi.0020120
Pubmed ID
Authors

Stefan Legewie, Nils Blüthgen, Hanspeter Herzel

Abstract

The intrinsic, or mitochondrial, pathway of caspase activation is essential for apoptosis induction by various stimuli including cytotoxic stress. It depends on the cellular context, whether cytochrome c released from mitochondria induces caspase activation gradually or in an all-or-none fashion, and whether caspase activation irreversibly commits cells to apoptosis. By analyzing a quantitative kinetic model, we show that inhibition of caspase-3 (Casp3) and Casp9 by inhibitors of apoptosis (IAPs) results in an implicit positive feedback, since cleaved Casp3 augments its own activation by sequestering IAPs away from Casp9. We demonstrate that this positive feedback brings about bistability (i.e., all-or-none behaviour), and that it cooperates with Casp3-mediated feedback cleavage of Casp9 to generate irreversibility in caspase activation. Our calculations also unravel how cell-specific protein expression brings about the observed qualitative differences in caspase activation (gradual versus all-or-none and reversible versus irreversible). Finally, known regulators of the pathway are shown to efficiently shift the apoptotic threshold stimulus, suggesting that the bistable caspase cascade computes multiple inputs into an all-or-none caspase output. As cellular inhibitory proteins (e.g., IAPs) frequently inhibit consecutive intermediates in cellular signaling cascades (e.g., Casp3 and Casp9), the feedback mechanism described in this paper is likely to be a widespread principle on how cells achieve ultrasensitivity, bistability, and irreversibility.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 186 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Germany 1 <1%
France 1 <1%
United Kingdom 1 <1%
Singapore 1 <1%
Taiwan 1 <1%
Sweden 1 <1%
Estonia 1 <1%
Romania 1 <1%
Other 2 1%
Unknown 171 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 58 31%
Student > Ph. D. Student 45 24%
Student > Master 19 10%
Professor 11 6%
Student > Bachelor 10 5%
Other 23 12%
Unknown 20 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 72 39%
Biochemistry, Genetics and Molecular Biology 26 14%
Computer Science 13 7%
Mathematics 9 5%
Medicine and Dentistry 9 5%
Other 33 18%
Unknown 24 13%