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Volumetric morphometry reveals spindle width as the best predictor of mammalian spindle scaling
The function of cellular structures at the mesoscale is dependent on their geometry and proportionality to cell size. The mitotic spindle is a good example why length and shape of intracellular organelles matter. Spindle length determines the distance over which chromosomes will segregate, and spind...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Rockefeller University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719715/ https://www.ncbi.nlm.nih.gov/pubmed/34787651 http://dx.doi.org/10.1083/jcb.202106170 |
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author | Kletter, Tobias Reusch, Sebastian Cavazza, Tommaso Dempewolf, Nils Tischer, Christian Reber, Simone |
author_facet | Kletter, Tobias Reusch, Sebastian Cavazza, Tommaso Dempewolf, Nils Tischer, Christian Reber, Simone |
author_sort | Kletter, Tobias |
collection | PubMed |
description | The function of cellular structures at the mesoscale is dependent on their geometry and proportionality to cell size. The mitotic spindle is a good example why length and shape of intracellular organelles matter. Spindle length determines the distance over which chromosomes will segregate, and spindle shape ensures bipolarity. While we still lack a systematic and quantitative understanding of subcellular morphology, new imaging techniques and volumetric data analysis promise novel insights into scaling relations across different species. Here, we introduce Spindle3D, an open-source plug-in that allows for the quantitative, consistent, and automated analysis of 3D fluorescent data of spindles and chromatin. We systematically analyze different mammalian cell types, including somatic cells, stem cells, and one- and two-cell embryos, to derive volumetric relations of spindle, chromatin, and the cell. Taken together, our data indicate that mitotic spindle width is a robust indicator of spindle volume, which correlates linearly with chromatin and cell volume both within single cell types and across mammalian species. |
format | Online Article Text |
id | pubmed-8719715 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Rockefeller University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-87197152022-07-03 Volumetric morphometry reveals spindle width as the best predictor of mammalian spindle scaling Kletter, Tobias Reusch, Sebastian Cavazza, Tommaso Dempewolf, Nils Tischer, Christian Reber, Simone J Cell Biol Tools The function of cellular structures at the mesoscale is dependent on their geometry and proportionality to cell size. The mitotic spindle is a good example why length and shape of intracellular organelles matter. Spindle length determines the distance over which chromosomes will segregate, and spindle shape ensures bipolarity. While we still lack a systematic and quantitative understanding of subcellular morphology, new imaging techniques and volumetric data analysis promise novel insights into scaling relations across different species. Here, we introduce Spindle3D, an open-source plug-in that allows for the quantitative, consistent, and automated analysis of 3D fluorescent data of spindles and chromatin. We systematically analyze different mammalian cell types, including somatic cells, stem cells, and one- and two-cell embryos, to derive volumetric relations of spindle, chromatin, and the cell. Taken together, our data indicate that mitotic spindle width is a robust indicator of spindle volume, which correlates linearly with chromatin and cell volume both within single cell types and across mammalian species. Rockefeller University Press 2021-11-17 /pmc/articles/PMC8719715/ /pubmed/34787651 http://dx.doi.org/10.1083/jcb.202106170 Text en © 2021 Kletter et al. https://creativecommons.org/licenses/by-nc-sa/4.0/http://www.rupress.org/terms/This article is distributed under the terms of an Attribution–Noncommercial–Share Alike–No Mirror Sites license for the first six months after the publication date (see http://www.rupress.org/terms/). After six months it is available under a Creative Commons License (Attribution–Noncommercial–Share Alike 4.0 International license, as described at https://creativecommons.org/licenses/by-nc-sa/4.0/). |
spellingShingle | Tools Kletter, Tobias Reusch, Sebastian Cavazza, Tommaso Dempewolf, Nils Tischer, Christian Reber, Simone Volumetric morphometry reveals spindle width as the best predictor of mammalian spindle scaling |
title | Volumetric morphometry reveals spindle width as the best predictor of mammalian spindle scaling |
title_full | Volumetric morphometry reveals spindle width as the best predictor of mammalian spindle scaling |
title_fullStr | Volumetric morphometry reveals spindle width as the best predictor of mammalian spindle scaling |
title_full_unstemmed | Volumetric morphometry reveals spindle width as the best predictor of mammalian spindle scaling |
title_short | Volumetric morphometry reveals spindle width as the best predictor of mammalian spindle scaling |
title_sort | volumetric morphometry reveals spindle width as the best predictor of mammalian spindle scaling |
topic | Tools |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8719715/ https://www.ncbi.nlm.nih.gov/pubmed/34787651 http://dx.doi.org/10.1083/jcb.202106170 |
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