Toggle switches, pulses and oscillations are intrinsic properties of the Src activation/deactivation cycle

Nikolai P Kaimachnikov1, Boris N Kholodenko

  • 1Department of Pathology, Anatomy and Cell Biology, Thomas Jefferson University, Philadelphia, PA, USA.

The FEBS Journal
|July 25, 2009
PubMed

Insights

The Src activation cycle exhibits complex dynamics like oscillations and bistability, driven by intrinsic properties rather than external feedback. These behaviors influence cell fate decisions based on stimulation history.

Area of Science:

  • Cellular signaling
  • Molecular dynamics
  • Biophysics

Background:

  • Src-family kinases (SFKs) are crucial for cell growth, motility, and invasiveness.
  • SFKs regulate signaling through a tightly controlled activation/deactivation cycle involving autoinhibition and phosphorylation.
  • The complex spatiotemporal dynamics of SFK activation remain poorly understood.

Purpose of the Study:

  • To investigate the intrinsic signaling dynamics of the Src activation/deactivation cycle.
  • To explore how basic kinetic properties generate complex behaviors like oscillations and bistability.
  • To understand how these dynamics influence cell-fate decisions.

Main Methods:

  • Mathematical modeling of the Src activation/deactivation cycle.
  • Analysis of intrinsic feedback mechanisms within the Src pathway.
  • Simulation of SFK responses under varying conditions of kinase and phosphatase activity.

Main Results:

  • The Src activation/deactivation cycle intrinsically generates complex dynamics, including oscillations, toggle switches, and excitable behavior.
  • These dynamics occur independently of external feedback loops and at constant inhibitor/activator levels.
  • Modulations in C-terminal Src kinase (CSK) and protein tyrosine phosphatase (PTP) activity, or Src overexpression, alter response patterns, leading to oscillations or bistability.

Conclusions:

  • The intrinsic properties of the Src activation cycle are sufficient to produce complex signaling dynamics.
  • SFK activation dynamics can lead to distinct cellular responses, influencing cell-fate decisions based on stimulation history.
  • Mathematical modeling provides insights into experimental observations and predicts testable conditions for SFK kinetic behaviors.

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