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Reverse-engineering forces responsible for dynamic clustering and spreading of multiple nuclei in developing muscle cells
How cells position their organelles is a fundamental biological question. During Drosophila embryonic muscle development, multiple nuclei transition from being clustered together to splitting into two smaller clusters to spreading along the myotube’s length. Perturbations of microtubules and motor p...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The American Society for Cell Biology
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7521854/ https://www.ncbi.nlm.nih.gov/pubmed/32129712 http://dx.doi.org/10.1091/mbc.E19-12-0711 |
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author | Manhart, Angelika Azevedo, Mafalda Baylies, Mary Mogilner, Alex |
author_facet | Manhart, Angelika Azevedo, Mafalda Baylies, Mary Mogilner, Alex |
author_sort | Manhart, Angelika |
collection | PubMed |
description | How cells position their organelles is a fundamental biological question. During Drosophila embryonic muscle development, multiple nuclei transition from being clustered together to splitting into two smaller clusters to spreading along the myotube’s length. Perturbations of microtubules and motor proteins disrupt this sequence of events. These perturbations do not allow intuiting which molecular forces govern the nuclear positioning; we therefore used computational screening to reverse-engineer and identify these forces. The screen reveals three models. Two suggest that the initial clustering is due to nuclear repulsion from the cell poles, while the third, most robust, model poses that this clustering is due to a short-ranged internuclear attraction. All three models suggest that the nuclear spreading is due to long-ranged internuclear repulsion. We test the robust model quantitatively by comparing it with data from perturbed muscle cells. We also test the model using agent-based simulations with elastic dynamic microtubules and molecular motors. The model predicts that, in longer mammalian myotubes with a large number of nuclei, the spreading stage would be preceded by segregation of the nuclei into a large number of clusters, proportional to the myotube length, with a small average number of nuclei per cluster. |
format | Online Article Text |
id | pubmed-7521854 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The American Society for Cell Biology |
record_format | MEDLINE/PubMed |
spelling | pubmed-75218542020-10-06 Reverse-engineering forces responsible for dynamic clustering and spreading of multiple nuclei in developing muscle cells Manhart, Angelika Azevedo, Mafalda Baylies, Mary Mogilner, Alex Mol Biol Cell Articles How cells position their organelles is a fundamental biological question. During Drosophila embryonic muscle development, multiple nuclei transition from being clustered together to splitting into two smaller clusters to spreading along the myotube’s length. Perturbations of microtubules and motor proteins disrupt this sequence of events. These perturbations do not allow intuiting which molecular forces govern the nuclear positioning; we therefore used computational screening to reverse-engineer and identify these forces. The screen reveals three models. Two suggest that the initial clustering is due to nuclear repulsion from the cell poles, while the third, most robust, model poses that this clustering is due to a short-ranged internuclear attraction. All three models suggest that the nuclear spreading is due to long-ranged internuclear repulsion. We test the robust model quantitatively by comparing it with data from perturbed muscle cells. We also test the model using agent-based simulations with elastic dynamic microtubules and molecular motors. The model predicts that, in longer mammalian myotubes with a large number of nuclei, the spreading stage would be preceded by segregation of the nuclei into a large number of clusters, proportional to the myotube length, with a small average number of nuclei per cluster. The American Society for Cell Biology 2020-07-21 /pmc/articles/PMC7521854/ /pubmed/32129712 http://dx.doi.org/10.1091/mbc.E19-12-0711 Text en © 2020 Manhart et al. “ASCB®,” “The American Society for Cell Biology®,” and “Molecular Biology of the Cell®” are registered trademarks of The American Society for Cell Biology. http://creativecommons.org/licenses/by-nc-sa/3.0 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. |
spellingShingle | Articles Manhart, Angelika Azevedo, Mafalda Baylies, Mary Mogilner, Alex Reverse-engineering forces responsible for dynamic clustering and spreading of multiple nuclei in developing muscle cells |
title | Reverse-engineering forces responsible for dynamic clustering and spreading of multiple nuclei in developing muscle cells |
title_full | Reverse-engineering forces responsible for dynamic clustering and spreading of multiple nuclei in developing muscle cells |
title_fullStr | Reverse-engineering forces responsible for dynamic clustering and spreading of multiple nuclei in developing muscle cells |
title_full_unstemmed | Reverse-engineering forces responsible for dynamic clustering and spreading of multiple nuclei in developing muscle cells |
title_short | Reverse-engineering forces responsible for dynamic clustering and spreading of multiple nuclei in developing muscle cells |
title_sort | reverse-engineering forces responsible for dynamic clustering and spreading of multiple nuclei in developing muscle cells |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7521854/ https://www.ncbi.nlm.nih.gov/pubmed/32129712 http://dx.doi.org/10.1091/mbc.E19-12-0711 |
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