Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Noerr, Patrick S., Zamora Alvarado, Jose E., Golnaraghi, Farnaz, McCloskey, Kara E., Gopinathan, Ajay, Dasbiswas, Kinjal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2023
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
_version_ 1785146415778889728
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
work_keys_str_mv AT noerrpatricks optimalmechanicalinteractionsdirectmulticellularnetworkformationonelasticsubstrates
AT zamoraalvaradojosee optimalmechanicalinteractionsdirectmulticellularnetworkformationonelasticsubstrates
AT golnaraghifarnaz optimalmechanicalinteractionsdirectmulticellularnetworkformationonelasticsubstrates
AT mccloskeykarae optimalmechanicalinteractionsdirectmulticellularnetworkformationonelasticsubstrates
AT gopinathanajay optimalmechanicalinteractionsdirectmulticellularnetworkformationonelasticsubstrates
AT dasbiswaskinjal optimalmechanicalinteractionsdirectmulticellularnetworkformationonelasticsubstrates