Article (Scientific journals)
The role of elasticity on adhesion and clustering of neurons on soft surfaces.
Marinaro, Giovanni; Bruno, Luigi; Pirillo, Noemi et al.
2024In Communications Biology, 7 (1), p. 617
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Keywords :
Surface Properties; Cells, Cultured; Cell Adhesion; Medicine (miscellaneous); Biochemistry, Genetics and Molecular Biology (all)
Abstract :
[en] The question of whether material stiffness enhances cell adhesion and clustering is still open to debate. Results from the literature are seemingly contradictory, with some reports illustrating that adhesion increases with surface stiffness and others suggesting that the performance of a system of cells is curbed by high values of elasticity. To address the role of elasticity as a regulator in neuronal cell adhesion and clustering, we investigated the topological characteristics of networks of neurons on polydimethylsiloxane (PDMS) surfaces - with values of elasticity (E) varying in the 0.55-2.65 MPa range. Results illustrate that, as elasticity increases, the number of neurons adhering on the surface decreases. Notably, the small-world coefficient - a topological measure of networks - also decreases. Numerical simulations and functional multi-calcium imaging experiments further indicated that the activity of neuronal cells on soft surfaces improves for decreasing E. Experimental findings are supported by a mathematical model, that explains adhesion and clustering of cells on soft materials as a function of few parameters - including the Young's modulus and roughness of the material. Overall, results indicate that - in the considered elasticity interval - increasing the compliance of a material improves adhesion, improves clustering, and enhances communication of neurons.
Disciplines :
Biotechnology
Author, co-author :
Marinaro, Giovanni  ;  Université de Liège - ULiège > Département de pharmacie > Analyse des médicaments
Bruno, Luigi ;  Department of Mechanical, Energy and Management Engineering, University of Calabria, 87036, Rende, Italy
Pirillo, Noemi;  Nanotechnology Research Center, Department of Experimental and Clinical Medicine, University of "Magna Graecia" of Catanzaro, 88100, Catanzaro, Italy
Coluccio, Maria Laura ;  Nanotechnology Research Center, Department of Experimental and Clinical Medicine, University of "Magna Graecia" of Catanzaro, 88100, Catanzaro, Italy
Nanni, Marina;  Department of Neuroscience and Brain Technologies, Italian Institute of Technology, Via Morego 30, 16163, Genoa, Italy
Malara, Natalia ;  Department of Health Science, University of "Magna Graecia" of Catanzaro, 88100, Catanzaro, Italy
Battista, Edmondo ;  Department of Innovative Technologies in Medicine & Dentistry, University "G. d'Annunzio" Chieti-Pescara, 66100, Chieti, Italy
Bruno, Giulia;  Plasmon Nanotechnologies, Italian Institute of Technology, Via Morego 30, 16163, Genoa, Italy
De Angelis, Francesco;  Plasmon Nanotechnologies, Italian Institute of Technology, Via Morego 30, 16163, Genoa, Italy
Cancedda, Laura ;  Department of Neuroscience and Brain Technologies, Italian Institute of Technology, Via Morego 30, 16163, Genoa, Italy
Di Mascolo, Daniele ;  Laboratory of Nanotechnology for Precision Medicine, Italian Institute of Technology, 16163, Genoa, Italy. daniele.dimascolo@poliba.it ; Department of Electrical and Information Engineering, Polytechnic University of Bari, 70126, Bari, Italy. daniele.dimascolo@poliba.it
Gentile, Francesco ;  Nanotechnology Research Center, Department of Experimental and Clinical Medicine, University of "Magna Graecia" of Catanzaro, 88100, Catanzaro, Italy. francesco.gentile@unicz.it
Language :
English
Title :
The role of elasticity on adhesion and clustering of neurons on soft surfaces.
Publication date :
23 May 2024
Journal title :
Communications Biology
eISSN :
2399-3642
Publisher :
Nature Research, England
Volume :
7
Issue :
1
Pages :
617
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
AIRC - Associazione Italiana per la Ricerca sul Cancro
Funding text :
This study was partially funded by the Italian Association for Cancer Research (AIRC) under the grant number AIRC IG 2021 ID 25656. The Authors thank Andrea Contestabile for the support provided during the fMCI experiments.
Available on ORBi :
since 09 October 2024

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