Nano-topography Enhances Communication in Neural Cells Networks

Handle URI:
http://hdl.handle.net/10754/625820
Title:
Nano-topography Enhances Communication in Neural Cells Networks
Authors:
Onesto, V.; Cancedda, L. ( 0000-0003-0566-057X ) ; Coluccio, M. L.; Nanni, M.; Pesce, M.; Malara, N.; Cesarelli, M.; Di Fabrizio, Enzo M. ( 0000-0001-5886-4678 ) ; Amato, F. ( 0000-0002-9053-3139 ) ; Gentile, F.
Abstract:
Neural cells are the smallest building blocks of the central and peripheral nervous systems. Information in neural networks and cell-substrate interactions have been heretofore studied separately. Understanding whether surface nano-topography can direct nerve cells assembly into computational efficient networks may provide new tools and criteria for tissue engineering and regenerative medicine. In this work, we used information theory approaches and functional multi calcium imaging (fMCI) techniques to examine how information flows in neural networks cultured on surfaces with controlled topography. We found that substrate roughness Sa affects networks topology. In the low nano-meter range, S-a = 0-30 nm, information increases with Sa. Moreover, we found that energy density of a network of cells correlates to the topology of that network. This reinforces the view that information, energy and surface nano-topography are tightly inter-connected and should not be neglected when studying cell-cell interaction in neural tissue repair and regeneration.
KAUST Department:
Physical Sciences and Engineering (PSE) Division
Citation:
Onesto V, Cancedda L, Coluccio ML, Nanni M, Pesce M, et al. (2017) Nano-topography Enhances Communication in Neural Cells Networks. Scientific Reports 7. Available: http://dx.doi.org/10.1038/s41598-017-09741-w.
Publisher:
Springer Nature
Journal:
Scientific Reports
Issue Date:
23-Aug-2017
DOI:
10.1038/s41598-017-09741-w
Type:
Article
ISSN:
2045-2322
Additional Links:
https://www.nature.com/articles/s41598-017-09741-w
Appears in Collections:
Articles; Physical Sciences and Engineering (PSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorOnesto, V.en
dc.contributor.authorCancedda, L.en
dc.contributor.authorColuccio, M. L.en
dc.contributor.authorNanni, M.en
dc.contributor.authorPesce, M.en
dc.contributor.authorMalara, N.en
dc.contributor.authorCesarelli, M.en
dc.contributor.authorDi Fabrizio, Enzo M.en
dc.contributor.authorAmato, F.en
dc.contributor.authorGentile, F.en
dc.date.accessioned2017-10-05T12:47:10Z-
dc.date.available2017-10-05T12:47:10Z-
dc.date.issued2017-08-23en
dc.identifier.citationOnesto V, Cancedda L, Coluccio ML, Nanni M, Pesce M, et al. (2017) Nano-topography Enhances Communication in Neural Cells Networks. Scientific Reports 7. Available: http://dx.doi.org/10.1038/s41598-017-09741-w.en
dc.identifier.issn2045-2322en
dc.identifier.doi10.1038/s41598-017-09741-wen
dc.identifier.urihttp://hdl.handle.net/10754/625820-
dc.description.abstractNeural cells are the smallest building blocks of the central and peripheral nervous systems. Information in neural networks and cell-substrate interactions have been heretofore studied separately. Understanding whether surface nano-topography can direct nerve cells assembly into computational efficient networks may provide new tools and criteria for tissue engineering and regenerative medicine. In this work, we used information theory approaches and functional multi calcium imaging (fMCI) techniques to examine how information flows in neural networks cultured on surfaces with controlled topography. We found that substrate roughness Sa affects networks topology. In the low nano-meter range, S-a = 0-30 nm, information increases with Sa. Moreover, we found that energy density of a network of cells correlates to the topology of that network. This reinforces the view that information, energy and surface nano-topography are tightly inter-connected and should not be neglected when studying cell-cell interaction in neural tissue repair and regeneration.en
dc.publisherSpringer Natureen
dc.relation.urlhttps://www.nature.com/articles/s41598-017-09741-wen
dc.rightsThis 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleNano-topography Enhances Communication in Neural Cells Networksen
dc.typeArticleen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.identifier.journalScientific Reportsen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.institutionDepartment of Experimental and Clinical Medicine, University of Magna Graecia, Catanzaro, 88100, , Italyen
dc.contributor.institutionIstituto Italiano di Tecnologia, Via Morego 30, Genova, 16163, , Italyen
dc.contributor.institutionDepartment of Electrical Engineering, Information and Technology, University of Naples, Naples, 80125, , Italyen
kaust.authorDi Fabrizio, Enzo M.en
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