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A computational framework for modeling cell–matrix interactions in soft biological tissues

Living soft tissues appear to promote the development and maintenance of a preferred mechanical state within a defined tolerance around a so-called set point. This phenomenon is often referred to as mechanical homeostasis. In contradiction to the prominent role of mechanical homeostasis in various (...

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Autores principales: Eichinger, Jonas F., Grill, Maximilian J., Kermani, Iman Davoodi, Aydin, Roland C., Wall, Wolfgang A., Humphrey, Jay D., Cyron, Christian J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8450219/
https://www.ncbi.nlm.nih.gov/pubmed/34173132
http://dx.doi.org/10.1007/s10237-021-01480-2
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author Eichinger, Jonas F.
Grill, Maximilian J.
Kermani, Iman Davoodi
Aydin, Roland C.
Wall, Wolfgang A.
Humphrey, Jay D.
Cyron, Christian J.
author_facet Eichinger, Jonas F.
Grill, Maximilian J.
Kermani, Iman Davoodi
Aydin, Roland C.
Wall, Wolfgang A.
Humphrey, Jay D.
Cyron, Christian J.
author_sort Eichinger, Jonas F.
collection PubMed
description Living soft tissues appear to promote the development and maintenance of a preferred mechanical state within a defined tolerance around a so-called set point. This phenomenon is often referred to as mechanical homeostasis. In contradiction to the prominent role of mechanical homeostasis in various (patho)physiological processes, its underlying micromechanical mechanisms acting on the level of individual cells and fibers remain poorly understood, especially how these mechanisms on the microscale lead to what we macroscopically call mechanical homeostasis. Here, we present a novel computational framework based on the finite element method that is constructed bottom up, that is, it models key mechanobiological mechanisms such as actin cytoskeleton contraction and molecular clutch behavior of individual cells interacting with a reconstructed three-dimensional extracellular fiber matrix. The framework reproduces many experimental observations regarding mechanical homeostasis on short time scales (hours), in which the deposition and degradation of extracellular matrix can largely be neglected. This model can serve as a systematic tool for future in silico studies of the origin of the numerous still unexplained experimental observations about mechanical homeostasis.
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spelling pubmed-84502192021-10-05 A computational framework for modeling cell–matrix interactions in soft biological tissues Eichinger, Jonas F. Grill, Maximilian J. Kermani, Iman Davoodi Aydin, Roland C. Wall, Wolfgang A. Humphrey, Jay D. Cyron, Christian J. Biomech Model Mechanobiol Original Paper Living soft tissues appear to promote the development and maintenance of a preferred mechanical state within a defined tolerance around a so-called set point. This phenomenon is often referred to as mechanical homeostasis. In contradiction to the prominent role of mechanical homeostasis in various (patho)physiological processes, its underlying micromechanical mechanisms acting on the level of individual cells and fibers remain poorly understood, especially how these mechanisms on the microscale lead to what we macroscopically call mechanical homeostasis. Here, we present a novel computational framework based on the finite element method that is constructed bottom up, that is, it models key mechanobiological mechanisms such as actin cytoskeleton contraction and molecular clutch behavior of individual cells interacting with a reconstructed three-dimensional extracellular fiber matrix. The framework reproduces many experimental observations regarding mechanical homeostasis on short time scales (hours), in which the deposition and degradation of extracellular matrix can largely be neglected. This model can serve as a systematic tool for future in silico studies of the origin of the numerous still unexplained experimental observations about mechanical homeostasis. Springer Berlin Heidelberg 2021-06-25 2021 /pmc/articles/PMC8450219/ /pubmed/34173132 http://dx.doi.org/10.1007/s10237-021-01480-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Paper
Eichinger, Jonas F.
Grill, Maximilian J.
Kermani, Iman Davoodi
Aydin, Roland C.
Wall, Wolfgang A.
Humphrey, Jay D.
Cyron, Christian J.
A computational framework for modeling cell–matrix interactions in soft biological tissues
title A computational framework for modeling cell–matrix interactions in soft biological tissues
title_full A computational framework for modeling cell–matrix interactions in soft biological tissues
title_fullStr A computational framework for modeling cell–matrix interactions in soft biological tissues
title_full_unstemmed A computational framework for modeling cell–matrix interactions in soft biological tissues
title_short A computational framework for modeling cell–matrix interactions in soft biological tissues
title_sort computational framework for modeling cell–matrix interactions in soft biological tissues
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8450219/
https://www.ncbi.nlm.nih.gov/pubmed/34173132
http://dx.doi.org/10.1007/s10237-021-01480-2
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