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Minimal Mechanisms of Microtubule Length Regulation in Living Cells
The microtubule cytoskeleton is responsible for sustained, long-range intracellular transport of mRNAs, proteins, and organelles in neurons. Neuronal microtubules must be stable enough to ensure reliable transport, but they also undergo dynamic instability, as their plus and minus ends continuously...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cornell University
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614985/ https://www.ncbi.nlm.nih.gov/pubmed/37904745 |
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author | Nelson, Anna C Rolls, Melissa M Ciocanel, Maria-Veronica McKinley, Scott A |
author_facet | Nelson, Anna C Rolls, Melissa M Ciocanel, Maria-Veronica McKinley, Scott A |
author_sort | Nelson, Anna C |
collection | PubMed |
description | The microtubule cytoskeleton is responsible for sustained, long-range intracellular transport of mRNAs, proteins, and organelles in neurons. Neuronal microtubules must be stable enough to ensure reliable transport, but they also undergo dynamic instability, as their plus and minus ends continuously switch between growth and shrinking. This process allows for continuous rebuilding of the cytoskeleton and for flexibility in injury settings. Motivated by \textit{in vivo} experimental data on microtubule behavior in \textit{Drosophila} neurons, we propose a mathematical model of dendritic microtubule dynamics, with a focus on understanding microtubule length, velocity, and state-duration distributions. We find that limitations on microtubule growth phases are needed for realistic dynamics, but the type of limiting mechanism leads to qualitatively different responses to plausible experimental perturbations. We therefore propose and investigate two minimally-complex length-limiting factors: limitation due to resource (tubulin) constraints and limitation due to catastrophe of large-length microtubules. We combine simulations of a detailed stochastic model with steady-state analysis of a mean-field ordinary differential equations model to map out qualitatively distinct parameter regimes. This provides a basis for predicting changes in microtubule dynamics, tubulin allocation, and the turnover rate of tubulin within microtubules in different experimental environments. Ultimately, this work provides a tunable and statistically identifiable framework for studying the emergent properties of dynamic instability of microtubules. |
format | Online Article Text |
id | pubmed-10614985 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cornell University |
record_format | MEDLINE/PubMed |
spelling | pubmed-106149852023-11-20 Minimal Mechanisms of Microtubule Length Regulation in Living Cells Nelson, Anna C Rolls, Melissa M Ciocanel, Maria-Veronica McKinley, Scott A ArXiv Article The microtubule cytoskeleton is responsible for sustained, long-range intracellular transport of mRNAs, proteins, and organelles in neurons. Neuronal microtubules must be stable enough to ensure reliable transport, but they also undergo dynamic instability, as their plus and minus ends continuously switch between growth and shrinking. This process allows for continuous rebuilding of the cytoskeleton and for flexibility in injury settings. Motivated by \textit{in vivo} experimental data on microtubule behavior in \textit{Drosophila} neurons, we propose a mathematical model of dendritic microtubule dynamics, with a focus on understanding microtubule length, velocity, and state-duration distributions. We find that limitations on microtubule growth phases are needed for realistic dynamics, but the type of limiting mechanism leads to qualitatively different responses to plausible experimental perturbations. We therefore propose and investigate two minimally-complex length-limiting factors: limitation due to resource (tubulin) constraints and limitation due to catastrophe of large-length microtubules. We combine simulations of a detailed stochastic model with steady-state analysis of a mean-field ordinary differential equations model to map out qualitatively distinct parameter regimes. This provides a basis for predicting changes in microtubule dynamics, tubulin allocation, and the turnover rate of tubulin within microtubules in different experimental environments. Ultimately, this work provides a tunable and statistically identifiable framework for studying the emergent properties of dynamic instability of microtubules. Cornell University 2023-11-20 /pmc/articles/PMC10614985/ /pubmed/37904745 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Nelson, Anna C Rolls, Melissa M Ciocanel, Maria-Veronica McKinley, Scott A Minimal Mechanisms of Microtubule Length Regulation in Living Cells |
title | Minimal Mechanisms of Microtubule Length Regulation in Living Cells |
title_full | Minimal Mechanisms of Microtubule Length Regulation in Living Cells |
title_fullStr | Minimal Mechanisms of Microtubule Length Regulation in Living Cells |
title_full_unstemmed | Minimal Mechanisms of Microtubule Length Regulation in Living Cells |
title_short | Minimal Mechanisms of Microtubule Length Regulation in Living Cells |
title_sort | minimal mechanisms of microtubule length regulation in living cells |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614985/ https://www.ncbi.nlm.nih.gov/pubmed/37904745 |
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