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Optimal mechanical interactions direct multicellular network formation on elastic substrates
Cells self-organize into functional, ordered structures during tissue morphogenesis, a process that is evocative of colloidal self-assembly into engineered soft materials. Understanding how intercellular mechanical interactions may drive the formation of ordered and functional multicellular structur...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636364/ https://www.ncbi.nlm.nih.gov/pubmed/37910554 http://dx.doi.org/10.1073/pnas.2301555120 |
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author | Noerr, Patrick S. Zamora Alvarado, Jose E. Golnaraghi, Farnaz McCloskey, Kara E. Gopinathan, Ajay Dasbiswas, Kinjal |
author_facet | Noerr, Patrick S. Zamora Alvarado, Jose E. Golnaraghi, Farnaz McCloskey, Kara E. Gopinathan, Ajay Dasbiswas, Kinjal |
author_sort | Noerr, Patrick S. |
collection | PubMed |
description | Cells self-organize into functional, ordered structures during tissue morphogenesis, a process that is evocative of colloidal self-assembly into engineered soft materials. Understanding how intercellular mechanical interactions may drive the formation of ordered and functional multicellular structures is important in developmental biology and tissue engineering. Here, by combining an agent-based model for contractile cells on elastic substrates with endothelial cell culture experiments, we show that substrate deformation–mediated mechanical interactions between cells can cluster and align them into branched networks. Motivated by the structure and function of vasculogenic networks, we predict how measures of network connectivity like percolation probability and fractal dimension as well as local morphological features including junctions, branches, and rings depend on cell contractility and density and on substrate elastic properties including stiffness and compressibility. We predict and confirm with experiments that cell network formation is substrate stiffness dependent, being optimal at intermediate stiffness. We also show the agreement between experimental data and predicted cell cluster types by mapping a combined phase diagram in cell density substrate stiffness. Overall, we show that long-range, mechanical interactions provide an optimal and general strategy for multicellular self-organization, leading to more robust and efficient realizations of space-spanning networks than through just local intercellular interactions. |
format | Online Article Text |
id | pubmed-10636364 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-106363642023-11-15 Optimal mechanical interactions direct multicellular network formation on elastic substrates Noerr, Patrick S. Zamora Alvarado, Jose E. Golnaraghi, Farnaz McCloskey, Kara E. Gopinathan, Ajay Dasbiswas, Kinjal Proc Natl Acad Sci U S A Physical Sciences Cells self-organize into functional, ordered structures during tissue morphogenesis, a process that is evocative of colloidal self-assembly into engineered soft materials. Understanding how intercellular mechanical interactions may drive the formation of ordered and functional multicellular structures is important in developmental biology and tissue engineering. Here, by combining an agent-based model for contractile cells on elastic substrates with endothelial cell culture experiments, we show that substrate deformation–mediated mechanical interactions between cells can cluster and align them into branched networks. Motivated by the structure and function of vasculogenic networks, we predict how measures of network connectivity like percolation probability and fractal dimension as well as local morphological features including junctions, branches, and rings depend on cell contractility and density and on substrate elastic properties including stiffness and compressibility. We predict and confirm with experiments that cell network formation is substrate stiffness dependent, being optimal at intermediate stiffness. We also show the agreement between experimental data and predicted cell cluster types by mapping a combined phase diagram in cell density substrate stiffness. Overall, we show that long-range, mechanical interactions provide an optimal and general strategy for multicellular self-organization, leading to more robust and efficient realizations of space-spanning networks than through just local intercellular interactions. National Academy of Sciences 2023-11-01 2023-11-07 /pmc/articles/PMC10636364/ /pubmed/37910554 http://dx.doi.org/10.1073/pnas.2301555120 Text en Copyright © 2023 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Physical Sciences Noerr, Patrick S. Zamora Alvarado, Jose E. Golnaraghi, Farnaz McCloskey, Kara E. Gopinathan, Ajay Dasbiswas, Kinjal Optimal mechanical interactions direct multicellular network formation on elastic substrates |
title | Optimal mechanical interactions direct multicellular network formation on elastic substrates |
title_full | Optimal mechanical interactions direct multicellular network formation on elastic substrates |
title_fullStr | Optimal mechanical interactions direct multicellular network formation on elastic substrates |
title_full_unstemmed | Optimal mechanical interactions direct multicellular network formation on elastic substrates |
title_short | Optimal mechanical interactions direct multicellular network formation on elastic substrates |
title_sort | optimal mechanical interactions direct multicellular network formation on elastic substrates |
topic | Physical Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10636364/ https://www.ncbi.nlm.nih.gov/pubmed/37910554 http://dx.doi.org/10.1073/pnas.2301555120 |
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