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The mechanisms of microtubule catastrophe and rescue: implications from analysis of a dimer-scale computational model
Microtubule (MT) dynamic instability is fundamental to many cell functions, but its mechanism remains poorly understood, in part because it is difficult to gain information about the dimer-scale events at the MT tip. To address this issue, we used a dimer-scale computational model of MT assembly tha...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The American Society for Cell Biology
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3279392/ https://www.ncbi.nlm.nih.gov/pubmed/22190741 http://dx.doi.org/10.1091/mbc.E11-08-0688 |
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author | Margolin, Gennady Gregoretti, Ivan V. Cickovski, Trevor M. Li, Chunlei Shi, Wei Alber, Mark S. Goodson, Holly V. |
author_facet | Margolin, Gennady Gregoretti, Ivan V. Cickovski, Trevor M. Li, Chunlei Shi, Wei Alber, Mark S. Goodson, Holly V. |
author_sort | Margolin, Gennady |
collection | PubMed |
description | Microtubule (MT) dynamic instability is fundamental to many cell functions, but its mechanism remains poorly understood, in part because it is difficult to gain information about the dimer-scale events at the MT tip. To address this issue, we used a dimer-scale computational model of MT assembly that is consistent with tubulin structure and biochemistry, displays dynamic instability, and covers experimentally relevant spans of time. It allows us to correlate macroscopic behaviors (dynamic instability parameters) with microscopic structures (tip conformations) and examine protofilament structure as the tip spontaneously progresses through both catastrophe and rescue. The model's behavior suggests that several commonly held assumptions about MT dynamics should be reconsidered. Moreover, it predicts that short, interprotofilament “cracks” (laterally unbonded regions between protofilaments) exist even at the tips of growing MTs and that rapid fluctuations in the depths of these cracks influence both catastrophe and rescue. We conclude that experimentally observed microtubule behavior can best be explained by a “stochastic cap” model in which tubulin subunits hydrolyze GTP according to a first-order reaction after they are incorporated into the lattice; catastrophe and rescue result from stochastic fluctuations in the size, shape, and extent of lateral bonding of the cap. |
format | Online Article Text |
id | pubmed-3279392 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | The American Society for Cell Biology |
record_format | MEDLINE/PubMed |
spelling | pubmed-32793922012-04-30 The mechanisms of microtubule catastrophe and rescue: implications from analysis of a dimer-scale computational model Margolin, Gennady Gregoretti, Ivan V. Cickovski, Trevor M. Li, Chunlei Shi, Wei Alber, Mark S. Goodson, Holly V. Mol Biol Cell Articles Microtubule (MT) dynamic instability is fundamental to many cell functions, but its mechanism remains poorly understood, in part because it is difficult to gain information about the dimer-scale events at the MT tip. To address this issue, we used a dimer-scale computational model of MT assembly that is consistent with tubulin structure and biochemistry, displays dynamic instability, and covers experimentally relevant spans of time. It allows us to correlate macroscopic behaviors (dynamic instability parameters) with microscopic structures (tip conformations) and examine protofilament structure as the tip spontaneously progresses through both catastrophe and rescue. The model's behavior suggests that several commonly held assumptions about MT dynamics should be reconsidered. Moreover, it predicts that short, interprotofilament “cracks” (laterally unbonded regions between protofilaments) exist even at the tips of growing MTs and that rapid fluctuations in the depths of these cracks influence both catastrophe and rescue. We conclude that experimentally observed microtubule behavior can best be explained by a “stochastic cap” model in which tubulin subunits hydrolyze GTP according to a first-order reaction after they are incorporated into the lattice; catastrophe and rescue result from stochastic fluctuations in the size, shape, and extent of lateral bonding of the cap. The American Society for Cell Biology 2012-02-15 /pmc/articles/PMC3279392/ /pubmed/22190741 http://dx.doi.org/10.1091/mbc.E11-08-0688 Text en © 2012 Margolin et al. This article is distributed by The American Society for Cell Biology under license from the author(s). Two months after publication it is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0). “ASCB®,” “The American Society for Cell Biology®,” and “Molecular Biology of the Cell®” are registered trademarks of The American Society of Cell Biology. |
spellingShingle | Articles Margolin, Gennady Gregoretti, Ivan V. Cickovski, Trevor M. Li, Chunlei Shi, Wei Alber, Mark S. Goodson, Holly V. The mechanisms of microtubule catastrophe and rescue: implications from analysis of a dimer-scale computational model |
title | The mechanisms of microtubule catastrophe and rescue: implications from analysis of a dimer-scale computational model |
title_full | The mechanisms of microtubule catastrophe and rescue: implications from analysis of a dimer-scale computational model |
title_fullStr | The mechanisms of microtubule catastrophe and rescue: implications from analysis of a dimer-scale computational model |
title_full_unstemmed | The mechanisms of microtubule catastrophe and rescue: implications from analysis of a dimer-scale computational model |
title_short | The mechanisms of microtubule catastrophe and rescue: implications from analysis of a dimer-scale computational model |
title_sort | mechanisms of microtubule catastrophe and rescue: implications from analysis of a dimer-scale computational model |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3279392/ https://www.ncbi.nlm.nih.gov/pubmed/22190741 http://dx.doi.org/10.1091/mbc.E11-08-0688 |
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