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Measuring Composition of CD95 Death-Inducing Signaling Complex and Processing of Procaspase-8 in this Complex
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Mathematical modeling reveals threshold mechanism in CD95-induced apoptosis

M Bentele1, I Lavrik, M Ulrich

  • 1Division Theoretical Bioinformatics,German Caner Research Center DKFZ, Heidelberg 69120, Germany.

The Journal of Cell Biology
|September 15, 2004
PubMed

Insights

Mathematical modeling of CD95-mediated apoptosis reveals critical parameters and system properties like modularity and robustness. This systems-level approach clarifies the threshold mechanism essential for regulating programmed cell death.

Area of Science:

  • Systems Biology
  • Molecular Biology
  • Computational Biology

Background:

  • Signal transduction networks, crucial for cellular processes, are complex and challenging to model.
  • Previous models of apoptotic signaling pathways were limited in scope or relied solely on qualitative data.
  • Dysregulation of apoptosis is implicated in diseases like cancer, autoimmunity, and neurodegeneration.

Purpose of the Study:

  • To develop a comprehensive mathematical modeling framework for understanding CD95 (APO-1/Fas)-mediated apoptosis.
  • To identify critical system parameters and essential properties (modularity, robustness) governing apoptotic signaling.
  • To elucidate the threshold mechanism regulating apoptosis at a systems level.

Main Methods:

  • Developed a novel mathematical modeling framework for CD95-mediated apoptosis.
  • Subdivided the complex apoptotic signaling system into subsystems of varying information qualities.
  • Applied a new sensitivity analysis approach within the mathematical model.

Main Results:

  • Identified critical system parameters influencing CD95-mediated apoptosis.
  • Revealed essential system properties: modularity and robustness.
  • The model successfully describes apoptosis regulation on a systems level.

Conclusions:

  • The developed mathematical model provides a systems-level understanding of CD95-mediated apoptosis.
  • Sensitivity analysis is key to identifying critical parameters and properties like modularity and robustness.
  • The study resolves the question of a threshold mechanism in apoptosis regulation.

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