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A Dynamical Model for Activating and Silencing the Mitotic Checkpoint.

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Area of Science:

  • Cell Biology
  • Biophysics
  • Systems Biology

Background:

  • The spindle assembly checkpoint (SAC) ensures accurate chromosome segregation by monitoring kinetochore-microtubule attachments.
  • Previously, SAC regulation of the anaphase-promoting complex/cyclosome (APC/C) was thought to be an all-or-nothing process.
  • Recent evidence suggests a more nuanced, graded switch in APC/C activity.

Purpose of the Study:

  • To develop a comprehensive mathematical model of the human SAC.
  • To investigate the role of spatial properties and protein interactions in SAC dynamics.
  • To reconcile the apparent all-or-nothing nature of core components with the graded output of the SAC.

Main Methods:

  • Developed a detailed mathematical model encompassing all 92 human kinetochores and key SAC proteins.
  • Performed deterministic and spatially-stochastic simulations.
  • Validated model predictions against in-vitro mutation data and experimental measurements of Securin and CyclinB concentrations.

Main Results:

  • Spatial properties were found to have minimal impact on SAC function.
  • The model accurately reproduces in-vitro mutation effects and rheostat-like behavior (Securin/CyclinB levels).
  • An autocatalytic feedback loop generates an all-or-nothing switch in core components, but the overall SAC output functions as a rheostat.

Conclusions:

  • The SAC signal strength varies proportionally with the number of attached kinetochores.
  • The SAC integrates information to produce a graded output, despite potential all-or-nothing switches in its internal components.
  • This study supports a rheostat model for SAC regulation, crucial for understanding cell division fidelity.