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Role of Mechanical Cues in Cell Differentiation and Proliferation: A 3D Numerical Model

Cell differentiation, proliferation and migration are essential processes in tissue regeneration. Experimental evidence confirms that cell differentiation or proliferation can be regulated according to the extracellular matrix stiffness. For instance, mesenchymal stem cells (MSCs) can differentiate...

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Autores principales: Mousavi, Seyed Jamaleddin, Hamdy Doweidar, Mohamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4416758/
https://www.ncbi.nlm.nih.gov/pubmed/25933372
http://dx.doi.org/10.1371/journal.pone.0124529
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author Mousavi, Seyed Jamaleddin
Hamdy Doweidar, Mohamed
author_facet Mousavi, Seyed Jamaleddin
Hamdy Doweidar, Mohamed
author_sort Mousavi, Seyed Jamaleddin
collection PubMed
description Cell differentiation, proliferation and migration are essential processes in tissue regeneration. Experimental evidence confirms that cell differentiation or proliferation can be regulated according to the extracellular matrix stiffness. For instance, mesenchymal stem cells (MSCs) can differentiate to neuroblast, chondrocyte or osteoblast within matrices mimicking the stiffness of their native substrate. However, the precise mechanisms by which the substrate stiffness governs cell differentiation or proliferation are not well known. Therefore, a mechano-sensing computational model is here developed to elucidate how substrate stiffness regulates cell differentiation and/or proliferation during cell migration. In agreement with experimental observations, it is assumed that internal deformation of the cell (a mechanical signal) together with the cell maturation state directly coordinates cell differentiation and/or proliferation. Our findings indicate that MSC differentiation to neurogenic, chondrogenic or osteogenic lineage specifications occurs within soft (0.1-1 kPa), intermediate (20-25 kPa) or hard (30-45 kPa) substrates, respectively. These results are consistent with well-known experimental observations. Remarkably, when a MSC differentiate to a compatible phenotype, the average net traction force depends on the substrate stiffness in such a way that it might increase in intermediate and hard substrates but it would reduce in a soft matrix. However, in all cases the average net traction force considerably increases at the instant of cell proliferation because of cell-cell interaction. Moreover cell differentiation and proliferation accelerate with increasing substrate stiffness due to the decrease in the cell maturation time. Thus, the model provides insights to explain the hypothesis that substrate stiffness plays a key role in regulating cell fate during mechanotaxis.
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spelling pubmed-44167582015-05-07 Role of Mechanical Cues in Cell Differentiation and Proliferation: A 3D Numerical Model Mousavi, Seyed Jamaleddin Hamdy Doweidar, Mohamed PLoS One Research Article Cell differentiation, proliferation and migration are essential processes in tissue regeneration. Experimental evidence confirms that cell differentiation or proliferation can be regulated according to the extracellular matrix stiffness. For instance, mesenchymal stem cells (MSCs) can differentiate to neuroblast, chondrocyte or osteoblast within matrices mimicking the stiffness of their native substrate. However, the precise mechanisms by which the substrate stiffness governs cell differentiation or proliferation are not well known. Therefore, a mechano-sensing computational model is here developed to elucidate how substrate stiffness regulates cell differentiation and/or proliferation during cell migration. In agreement with experimental observations, it is assumed that internal deformation of the cell (a mechanical signal) together with the cell maturation state directly coordinates cell differentiation and/or proliferation. Our findings indicate that MSC differentiation to neurogenic, chondrogenic or osteogenic lineage specifications occurs within soft (0.1-1 kPa), intermediate (20-25 kPa) or hard (30-45 kPa) substrates, respectively. These results are consistent with well-known experimental observations. Remarkably, when a MSC differentiate to a compatible phenotype, the average net traction force depends on the substrate stiffness in such a way that it might increase in intermediate and hard substrates but it would reduce in a soft matrix. However, in all cases the average net traction force considerably increases at the instant of cell proliferation because of cell-cell interaction. Moreover cell differentiation and proliferation accelerate with increasing substrate stiffness due to the decrease in the cell maturation time. Thus, the model provides insights to explain the hypothesis that substrate stiffness plays a key role in regulating cell fate during mechanotaxis. Public Library of Science 2015-05-01 /pmc/articles/PMC4416758/ /pubmed/25933372 http://dx.doi.org/10.1371/journal.pone.0124529 Text en © 2015 Mousavi, Doweidar http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Mousavi, Seyed Jamaleddin
Hamdy Doweidar, Mohamed
Role of Mechanical Cues in Cell Differentiation and Proliferation: A 3D Numerical Model
title Role of Mechanical Cues in Cell Differentiation and Proliferation: A 3D Numerical Model
title_full Role of Mechanical Cues in Cell Differentiation and Proliferation: A 3D Numerical Model
title_fullStr Role of Mechanical Cues in Cell Differentiation and Proliferation: A 3D Numerical Model
title_full_unstemmed Role of Mechanical Cues in Cell Differentiation and Proliferation: A 3D Numerical Model
title_short Role of Mechanical Cues in Cell Differentiation and Proliferation: A 3D Numerical Model
title_sort role of mechanical cues in cell differentiation and proliferation: a 3d numerical model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4416758/
https://www.ncbi.nlm.nih.gov/pubmed/25933372
http://dx.doi.org/10.1371/journal.pone.0124529
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