Mean-field study of the role of lateral cracks in microtubule dynamics

Gennady Margolin1, Holly V Goodson, Mark S Alber

  • 1Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, Indiana 46556, USA.

Insights

This study links dimer-scale processes to microtubule (MT) dynamics using a novel 2D mean-field model. The model accurately predicts key MT behaviors like polymerization thresholds and steady-state phases.

Area of Science:

  • Biophysics
  • Cell Biology
  • Computational Biology

Background:

  • Microtubules (MTs) are crucial cytoskeletal polymers.
  • Understanding MT dynamics at the molecular level is essential for cell function.
  • Previous theoretical models lacked explicit representation of key structural features and kinetics.

Purpose of the Study:

  • To develop a novel 2D mean-field model (MFM) for microtubule dynamics.
  • To bridge the gap between dimer-scale processes and macroscale MT behavior.
  • To analytically predict and quantify critical MT dynamic features.

Main Methods:

  • Developed a novel 2D mean-field model (MFM) incorporating dimer-level kinetics.
  • Explicitly represented inter-protofilament cracks and both longitudinal/lateral dimer interactions.
  • Compared MFM predictions with numerical simulations of a computational dimer-scale model.

Main Results:

  • The MFM analytically predicts a minimal soluble tubulin concentration for polymerization.
  • Identified steady-state growth and shortening phases with quantifiable velocities.
  • Described an unstable pause state near zero velocity.
  • Estimated the size of the GTP cap in growing MTs.
  • MFM predictions showed good agreement with numerical simulations.

Conclusions:

  • The 2D MFM provides a robust analytical framework for microtubule dynamics.
  • The model successfully links molecular interactions to emergent macroscopic properties of MTs.
  • This work offers quantitative insights into polymerization, depolymerization, and cap dynamics.

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