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High-resolution Time-lapse Imaging and Automated Analysis of Microtubule Dynamics in Living Human Umbilical Vein Endothelial Cells
Published on: August 13, 2016
Neuritic growth rate described by modeling microtubule dynamics
1Netherlands Institute for Brain Research, Amsterdam.
Bulletin of Mathematical Biology
|March 1, 1994
Summary
This study models neuronal elongation, revealing how microtubule dynamics and growth cone forces influence neurite growth. Unequal microtubule assembly/disassembly rates can cause segment retraction, impacting neuronal development.
Area of Science:
- Neuroscience
- Cell Biology
- Biophysics
Background:
- Neuronal elongation is crucial for nervous system development.
- Microtubule polymerization and growth cone mechanics drive neurite outgrowth.
- Understanding these processes is key to deciphering neuronal development and disorders.
Purpose of the Study:
- To develop a computational model of neuronal elongation.
- To investigate the roles of microtubule dynamics and growth cone forces.
- To explore the consequences of asymmetric growth cone activity.
Main Methods:
- Mathematical modeling of microtubule polymerization and neurite stretching.
- Simulation of single segments, branched neurites, and large neuronal trees.
- Analysis of tubulin concentration dynamics and elongation rates.
Main Results:
- A constant elongation rate is observed under balanced conditions.
- Asymmetric microtubule assembly/disassembly rates lead to transient or complete segment retraction.
- A maximal sustainable number of terminal segments is predicted for complex neuronal structures.
Conclusions:
- Neuronal elongation is sensitive to the balance of microtubule dynamics at growth cones.
- Asymmetric growth can lead to retraction, potentially influencing neuronal connectivity.
- The model provides insights into mechanisms regulating neuronal outgrowth and arborization.
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