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Nano-topography Enhances Communication in Neural Cells Networks
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 effici...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5575309/ https://www.ncbi.nlm.nih.gov/pubmed/28851984 http://dx.doi.org/10.1038/s41598-017-09741-w |
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author | Onesto, V. Cancedda, L. Coluccio, M. L. Nanni, M. Pesce, M. Malara, N. Cesarelli, M. Di Fabrizio, E. Amato, F. Gentile, F. |
author_facet | Onesto, V. Cancedda, L. Coluccio, M. L. Nanni, M. Pesce, M. Malara, N. Cesarelli, M. Di Fabrizio, E. Amato, F. Gentile, F. |
author_sort | Onesto, V. |
collection | PubMed |
description | 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 S (a) affects networks topology. In the low nano-meter range, S (a) = 0–30 nm, information increases with S (a). 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. |
format | Online Article Text |
id | pubmed-5575309 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55753092017-09-01 Nano-topography Enhances Communication in Neural Cells Networks Onesto, V. Cancedda, L. Coluccio, M. L. Nanni, M. Pesce, M. Malara, N. Cesarelli, M. Di Fabrizio, E. Amato, F. Gentile, F. Sci Rep Article 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 S (a) affects networks topology. In the low nano-meter range, S (a) = 0–30 nm, information increases with S (a). 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. Nature Publishing Group UK 2017-08-29 /pmc/articles/PMC5575309/ /pubmed/28851984 http://dx.doi.org/10.1038/s41598-017-09741-w Text en © The Author(s) 2017 Open Access This 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/. |
spellingShingle | Article Onesto, V. Cancedda, L. Coluccio, M. L. Nanni, M. Pesce, M. Malara, N. Cesarelli, M. Di Fabrizio, E. Amato, F. Gentile, F. Nano-topography Enhances Communication in Neural Cells Networks |
title | Nano-topography Enhances Communication in Neural Cells Networks |
title_full | Nano-topography Enhances Communication in Neural Cells Networks |
title_fullStr | Nano-topography Enhances Communication in Neural Cells Networks |
title_full_unstemmed | Nano-topography Enhances Communication in Neural Cells Networks |
title_short | Nano-topography Enhances Communication in Neural Cells Networks |
title_sort | nano-topography enhances communication in neural cells networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5575309/ https://www.ncbi.nlm.nih.gov/pubmed/28851984 http://dx.doi.org/10.1038/s41598-017-09741-w |
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