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Related Experiment Video

Updated: Mar 23, 2026

Use of a Caspase Multiplexing Assay to Determine Apoptosis in a Hypothalamic Cell Model
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Parameter identification using stochastic simulations reveals a robustness in CD95 apoptotic response.

Christoph Zimmer1, Kolja Schleich2, Inna Lavrik3

  • 1BIOMS, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany. christoph.zimmer@bioquant.uni-heidelberg.de.

Molecular Biosystems
|March 24, 2016
PubMed
Summary

This study introduces a novel parameter estimation method for small molecular systems, utilizing stochastic simulations to analyze cell death pathways. The approach successfully identified key parameters for CD95-induced apoptosis, offering new insights into cellular regulation.

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Area of Science:

  • Systems Biology
  • Computational Biology
  • Cellular Signaling

Background:

  • Mathematical models of apoptosis are crucial for understanding cell death mechanisms.
  • Parameter estimation for these models is challenging, especially with limited molecular numbers.
  • Efficient methods are needed to refine these models and gain biological insights.

Purpose of the Study:

  • To develop a novel parameter estimation method for mathematical models of biological systems with few molecules.
  • To apply this method to a model of CD95-induced apoptosis.
  • To gain new insights into CD95 apoptosis regulation and network robustness.

Main Methods:

  • Parameter selection based on ordinary differential equation (ODE) fitting.
  • Stochastic simulations performed for selected parameter sets.
  • Comparison of simulation correlation structures with experimental data to identify optimal parameters.

Main Results:

  • A new method for parameter estimation using stochastic simulations was successfully developed.
  • The method was applied to a CD95-induced apoptosis model, yielding a refined parameter set.
  • The refined parameters provided better fits to experimental data and revealed insights into CD95 apoptosis regulation and robustness.

Conclusions:

  • The developed stochastic simulation-based method is effective for parameter estimation in small molecular systems.
  • This approach offers valuable predictions and can be broadly applied to analyze other biological signaling networks.
  • The study enhances understanding of CD95-induced apoptosis and cellular network regulation.