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Predictive assembling model reveals the self-adaptive elastic properties of lamellipodial actin networks for cell migration
Branched actin network supports cell migration through extracellular microenvironments. However, it is unknown how intracellular proteins adapt the elastic properties of the network to the highly varying extracellular resistance. Here we develop a three-dimensional assembling model to simulate the r...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7588425/ https://www.ncbi.nlm.nih.gov/pubmed/33106551 http://dx.doi.org/10.1038/s42003-020-01335-z |
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author | Chen, Xindong Zhu, Hanxing Feng, XiQiao Li, Xiaona Lu, Yongtao Wang, Zuobin Rezgui, Yacine |
author_facet | Chen, Xindong Zhu, Hanxing Feng, XiQiao Li, Xiaona Lu, Yongtao Wang, Zuobin Rezgui, Yacine |
author_sort | Chen, Xindong |
collection | PubMed |
description | Branched actin network supports cell migration through extracellular microenvironments. However, it is unknown how intracellular proteins adapt the elastic properties of the network to the highly varying extracellular resistance. Here we develop a three-dimensional assembling model to simulate the realistic self-assembling process of the network by encompassing intracellular proteins and their dynamic interactions. Combining this multiscale model with finite element method, we reveal that the network can not only sense the variation of extracellular resistance but also self-adapt its elastic properties through remodeling with intracellular proteins. Such resistance-adaptive elastic behaviours are versatile and essential in supporting cell migration through varying extracellular microenvironments. The bending deformation mechanism and anisotropic Poisson’s ratios determine why lamellipodia persistently evolve into sheet-like structures. Our predictions are confirmed by published experiments. The revealed self-adaptive elastic properties of the networks are also applicable to the endocytosis, phagocytosis, vesicle trafficking, intracellular pathogen transport and dendritic spine formation. |
format | Online Article Text |
id | pubmed-7588425 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75884252020-10-29 Predictive assembling model reveals the self-adaptive elastic properties of lamellipodial actin networks for cell migration Chen, Xindong Zhu, Hanxing Feng, XiQiao Li, Xiaona Lu, Yongtao Wang, Zuobin Rezgui, Yacine Commun Biol Article Branched actin network supports cell migration through extracellular microenvironments. However, it is unknown how intracellular proteins adapt the elastic properties of the network to the highly varying extracellular resistance. Here we develop a three-dimensional assembling model to simulate the realistic self-assembling process of the network by encompassing intracellular proteins and their dynamic interactions. Combining this multiscale model with finite element method, we reveal that the network can not only sense the variation of extracellular resistance but also self-adapt its elastic properties through remodeling with intracellular proteins. Such resistance-adaptive elastic behaviours are versatile and essential in supporting cell migration through varying extracellular microenvironments. The bending deformation mechanism and anisotropic Poisson’s ratios determine why lamellipodia persistently evolve into sheet-like structures. Our predictions are confirmed by published experiments. The revealed self-adaptive elastic properties of the networks are also applicable to the endocytosis, phagocytosis, vesicle trafficking, intracellular pathogen transport and dendritic spine formation. Nature Publishing Group UK 2020-10-26 /pmc/articles/PMC7588425/ /pubmed/33106551 http://dx.doi.org/10.1038/s42003-020-01335-z Text en © Crown 2020, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Chen, Xindong Zhu, Hanxing Feng, XiQiao Li, Xiaona Lu, Yongtao Wang, Zuobin Rezgui, Yacine Predictive assembling model reveals the self-adaptive elastic properties of lamellipodial actin networks for cell migration |
title | Predictive assembling model reveals the self-adaptive elastic properties of lamellipodial actin networks for cell migration |
title_full | Predictive assembling model reveals the self-adaptive elastic properties of lamellipodial actin networks for cell migration |
title_fullStr | Predictive assembling model reveals the self-adaptive elastic properties of lamellipodial actin networks for cell migration |
title_full_unstemmed | Predictive assembling model reveals the self-adaptive elastic properties of lamellipodial actin networks for cell migration |
title_short | Predictive assembling model reveals the self-adaptive elastic properties of lamellipodial actin networks for cell migration |
title_sort | predictive assembling model reveals the self-adaptive elastic properties of lamellipodial actin networks for cell migration |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7588425/ https://www.ncbi.nlm.nih.gov/pubmed/33106551 http://dx.doi.org/10.1038/s42003-020-01335-z |
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