Cargando…

Force-based three-dimensional model predicts mechanical drivers of cell sorting

Many biological processes, including tissue morphogenesis, are driven by cell sorting. However, the primary mechanical drivers of sorting in multicellular aggregates (MCAs) remain controversial, in part because there is no appropriate computational model to probe mechanical interactions between cell...

Descripción completa

Detalles Bibliográficos
Autores principales: Revell, Christopher, Blumenfeld, Raphael, Chalut, Kevin J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6364585/
https://www.ncbi.nlm.nih.gov/pubmed/30963946
http://dx.doi.org/10.1098/rspb.2018.2495
_version_ 1783393299523960832
author Revell, Christopher
Blumenfeld, Raphael
Chalut, Kevin J.
author_facet Revell, Christopher
Blumenfeld, Raphael
Chalut, Kevin J.
author_sort Revell, Christopher
collection PubMed
description Many biological processes, including tissue morphogenesis, are driven by cell sorting. However, the primary mechanical drivers of sorting in multicellular aggregates (MCAs) remain controversial, in part because there is no appropriate computational model to probe mechanical interactions between cells. To address this important issue, we developed a three-dimensional, local force-based simulation based on the subcellular element method. In our method, cells are modelled as collections of locally interacting force-bearing elements. We use the method to investigate the effects of tension and cell–cell adhesion on MCA sorting. We predict a minimum level of adhesion to produce inside-out sorting of two cell types, which is in excellent agreement with observations in several developmental systems. We also predict the level of tension asymmetry needed for robust sorting. The generality and flexibility of the method make it applicable to tissue self-organization in a myriad of other biological processes, such as tumorigenesis and embryogenesis.
format Online
Article
Text
id pubmed-6364585
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher The Royal Society
record_format MEDLINE/PubMed
spelling pubmed-63645852019-02-14 Force-based three-dimensional model predicts mechanical drivers of cell sorting Revell, Christopher Blumenfeld, Raphael Chalut, Kevin J. Proc Biol Sci Morphology and Biomechanics Many biological processes, including tissue morphogenesis, are driven by cell sorting. However, the primary mechanical drivers of sorting in multicellular aggregates (MCAs) remain controversial, in part because there is no appropriate computational model to probe mechanical interactions between cells. To address this important issue, we developed a three-dimensional, local force-based simulation based on the subcellular element method. In our method, cells are modelled as collections of locally interacting force-bearing elements. We use the method to investigate the effects of tension and cell–cell adhesion on MCA sorting. We predict a minimum level of adhesion to produce inside-out sorting of two cell types, which is in excellent agreement with observations in several developmental systems. We also predict the level of tension asymmetry needed for robust sorting. The generality and flexibility of the method make it applicable to tissue self-organization in a myriad of other biological processes, such as tumorigenesis and embryogenesis. The Royal Society 2019-01-30 2019-01-23 /pmc/articles/PMC6364585/ /pubmed/30963946 http://dx.doi.org/10.1098/rspb.2018.2495 Text en © 2019 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Morphology and Biomechanics
Revell, Christopher
Blumenfeld, Raphael
Chalut, Kevin J.
Force-based three-dimensional model predicts mechanical drivers of cell sorting
title Force-based three-dimensional model predicts mechanical drivers of cell sorting
title_full Force-based three-dimensional model predicts mechanical drivers of cell sorting
title_fullStr Force-based three-dimensional model predicts mechanical drivers of cell sorting
title_full_unstemmed Force-based three-dimensional model predicts mechanical drivers of cell sorting
title_short Force-based three-dimensional model predicts mechanical drivers of cell sorting
title_sort force-based three-dimensional model predicts mechanical drivers of cell sorting
topic Morphology and Biomechanics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6364585/
https://www.ncbi.nlm.nih.gov/pubmed/30963946
http://dx.doi.org/10.1098/rspb.2018.2495
work_keys_str_mv AT revellchristopher forcebasedthreedimensionalmodelpredictsmechanicaldriversofcellsorting
AT blumenfeldraphael forcebasedthreedimensionalmodelpredictsmechanicaldriversofcellsorting
AT chalutkevinj forcebasedthreedimensionalmodelpredictsmechanicaldriversofcellsorting