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A theory that predicts behaviors of disordered cytoskeletal networks
Morphogenesis in animal tissues is largely driven by actomyosin networks, through tensions generated by an active contractile process. Although the network components and their properties are known, and networks can be reconstituted in vitro, the requirements for contractility are still poorly under...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5615920/ https://www.ncbi.nlm.nih.gov/pubmed/28954810 http://dx.doi.org/10.15252/msb.20177796 |
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author | Belmonte, Julio M Leptin, Maria Nédélec, François |
author_facet | Belmonte, Julio M Leptin, Maria Nédélec, François |
author_sort | Belmonte, Julio M |
collection | PubMed |
description | Morphogenesis in animal tissues is largely driven by actomyosin networks, through tensions generated by an active contractile process. Although the network components and their properties are known, and networks can be reconstituted in vitro, the requirements for contractility are still poorly understood. Here, we describe a theory that predicts whether an isotropic network will contract, expand, or conserve its dimensions. This analytical theory correctly predicts the behavior of simulated networks, consisting of filaments with varying combinations of connectors, and reveals conditions under which networks of rigid filaments are either contractile or expansile. Our results suggest that pulsatility is an intrinsic behavior of contractile networks if the filaments are not stable but turn over. The theory offers a unifying framework to think about mechanisms of contractions or expansion. It provides the foundation for studying a broad range of processes involving cytoskeletal networks and a basis for designing synthetic networks. |
format | Online Article Text |
id | pubmed-5615920 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56159202017-09-28 A theory that predicts behaviors of disordered cytoskeletal networks Belmonte, Julio M Leptin, Maria Nédélec, François Mol Syst Biol Articles Morphogenesis in animal tissues is largely driven by actomyosin networks, through tensions generated by an active contractile process. Although the network components and their properties are known, and networks can be reconstituted in vitro, the requirements for contractility are still poorly understood. Here, we describe a theory that predicts whether an isotropic network will contract, expand, or conserve its dimensions. This analytical theory correctly predicts the behavior of simulated networks, consisting of filaments with varying combinations of connectors, and reveals conditions under which networks of rigid filaments are either contractile or expansile. Our results suggest that pulsatility is an intrinsic behavior of contractile networks if the filaments are not stable but turn over. The theory offers a unifying framework to think about mechanisms of contractions or expansion. It provides the foundation for studying a broad range of processes involving cytoskeletal networks and a basis for designing synthetic networks. John Wiley and Sons Inc. 2017-09-27 /pmc/articles/PMC5615920/ /pubmed/28954810 http://dx.doi.org/10.15252/msb.20177796 Text en © 2017 The Authors. Published under the terms of the CC BY 4.0 license This is an open access article under the terms of the Creative Commons Attribution 4.0 (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Belmonte, Julio M Leptin, Maria Nédélec, François A theory that predicts behaviors of disordered cytoskeletal networks |
title | A theory that predicts behaviors of disordered cytoskeletal networks |
title_full | A theory that predicts behaviors of disordered cytoskeletal networks |
title_fullStr | A theory that predicts behaviors of disordered cytoskeletal networks |
title_full_unstemmed | A theory that predicts behaviors of disordered cytoskeletal networks |
title_short | A theory that predicts behaviors of disordered cytoskeletal networks |
title_sort | theory that predicts behaviors of disordered cytoskeletal networks |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5615920/ https://www.ncbi.nlm.nih.gov/pubmed/28954810 http://dx.doi.org/10.15252/msb.20177796 |
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