3D Reduced Graphene Oxide Scaffolds with a Combinatorial Fibrous-Porous Architecture for Neural Tissue Engineering
Graphene oxide (GO) assists a diverse set of promising routes to build bioactive neural microenvironments by easily interacting with other biomaterials to enhance their bulk features or, alternatively, self-assembling toward the construction of biocompatible systems with specific three-dimensional (...
| Autores: | , , , , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/230299 |
| Acceso en línea: | http://hdl.handle.net/10261/230299 |
| Access Level: | acceso abierto |
| Palabra clave: | Reduced graphene oxide 3D scaffold Fibrous-porous architecture Electrospinning Neural tissue engineering |
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| dc.title.none.fl_str_mv |
3D Reduced Graphene Oxide Scaffolds with a Combinatorial Fibrous-Porous Architecture for Neural Tissue Engineering |
| title |
3D Reduced Graphene Oxide Scaffolds with a Combinatorial Fibrous-Porous Architecture for Neural Tissue Engineering |
| spellingShingle |
3D Reduced Graphene Oxide Scaffolds with a Combinatorial Fibrous-Porous Architecture for Neural Tissue Engineering Girão, André F. Reduced graphene oxide 3D scaffold Fibrous-porous architecture Electrospinning Neural tissue engineering |
| title_short |
3D Reduced Graphene Oxide Scaffolds with a Combinatorial Fibrous-Porous Architecture for Neural Tissue Engineering |
| title_full |
3D Reduced Graphene Oxide Scaffolds with a Combinatorial Fibrous-Porous Architecture for Neural Tissue Engineering |
| title_fullStr |
3D Reduced Graphene Oxide Scaffolds with a Combinatorial Fibrous-Porous Architecture for Neural Tissue Engineering |
| title_full_unstemmed |
3D Reduced Graphene Oxide Scaffolds with a Combinatorial Fibrous-Porous Architecture for Neural Tissue Engineering |
| title_sort |
3D Reduced Graphene Oxide Scaffolds with a Combinatorial Fibrous-Porous Architecture for Neural Tissue Engineering |
| dc.creator.none.fl_str_mv |
Girão, André F. Sousa, Joana Domínguez-Bajo, Ana González Mayorga, Ankor Bdikin, Igor Pujades Otero, Eulalia Casañ Pastor, Nieves Hortigüela, María J. Otero Irurueta, Gonzalo Completo, António Serrano, María C. Marques, Paula A.A.P. |
| author |
Girão, André F. |
| author_facet |
Girão, André F. Sousa, Joana Domínguez-Bajo, Ana González Mayorga, Ankor Bdikin, Igor Pujades Otero, Eulalia Casañ Pastor, Nieves Hortigüela, María J. Otero Irurueta, Gonzalo Completo, António Serrano, María C. Marques, Paula A.A.P. |
| author_role |
author |
| author2 |
Sousa, Joana Domínguez-Bajo, Ana González Mayorga, Ankor Bdikin, Igor Pujades Otero, Eulalia Casañ Pastor, Nieves Hortigüela, María J. Otero Irurueta, Gonzalo Completo, António Serrano, María C. Marques, Paula A.A.P. |
| author2_role |
author author author author author author author author author author author |
| dc.contributor.none.fl_str_mv |
Fundação para a Ciência e a Tecnologia (Portugal) European Commission Agencia Estatal de Investigación (España) Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Reduced graphene oxide 3D scaffold Fibrous-porous architecture Electrospinning Neural tissue engineering |
| topic |
Reduced graphene oxide 3D scaffold Fibrous-porous architecture Electrospinning Neural tissue engineering |
| description |
Graphene oxide (GO) assists a diverse set of promising routes to build bioactive neural microenvironments by easily interacting with other biomaterials to enhance their bulk features or, alternatively, self-assembling toward the construction of biocompatible systems with specific three-dimensional (3D) geometries. Herein, we first modulate both size and available oxygen groups in GO nanosheets to adjust the physicochemical and biological properties of polycaprolactone–gelatin electrospun nanofibrous systems. The results show that the incorporation of customized GO nanosheets modulates the properties of the nanofibers and, subsequently, markedly influences the viability of neural progenitor cell cultures. Interestingly, the partially reduced GO (rGO) nanosheets with larger dimensions trigger the best cell response, while the rGO nanosheets with smaller size provoke an accentuated decrease in the cytocompatibility of the resulting electrospun meshes. Then, the most auspicious nanofibers are synergistically accommodated onto the surface of 3D-rGO heterogeneous porous networks, giving rise to fibrous-porous combinatorial architectures suitable for enhancing adhesion and differentiation of neural cells. By varying the chemical composition of the nanofibers, it is possible to adapt their performance as physical crosslinkers for the rGO sheets, leading to the modulation of both pore size and structural/mechanical integrity of the scaffold. Importantly, the biocompatibility of the resultant fibrous-porous systems is not compromised after 14 days of cell culture, including standard differentiation patterns of neural progenitor cells. Overall, in light of these in vitro results, the reported scaffolding approach presents not only an indisputable capacity to support highly viable and interconnected neural circuits but also the potential to unlock novel strategies for neural tissue engineering applications. |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020 2021 2021 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Postprint info:eu-repo/semantics/acceptedVersion |
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article |
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acceptedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10261/230299 |
| url |
http://hdl.handle.net/10261/230299 |
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Inglés |
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Inglés |
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#PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MAT2016-78857-R info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-097753-B-I00 info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/SEV-2015-0496 http://dx.doi.org/10.1021/acsami.0c10599 Sí |
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info:eu-repo/semantics/openAccess |
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openAccess |
| dc.publisher.none.fl_str_mv |
American Chemical Society |
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American Chemical Society |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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1869403837534568448 |
| spelling |
3D Reduced Graphene Oxide Scaffolds with a Combinatorial Fibrous-Porous Architecture for Neural Tissue EngineeringGirão, André F.Sousa, JoanaDomínguez-Bajo, AnaGonzález Mayorga, AnkorBdikin, IgorPujades Otero, EulaliaCasañ Pastor, NievesHortigüela, María J.Otero Irurueta, GonzaloCompleto, AntónioSerrano, María C.Marques, Paula A.A.P.Reduced graphene oxide3D scaffoldFibrous-porous architectureElectrospinningNeural tissue engineeringGraphene oxide (GO) assists a diverse set of promising routes to build bioactive neural microenvironments by easily interacting with other biomaterials to enhance their bulk features or, alternatively, self-assembling toward the construction of biocompatible systems with specific three-dimensional (3D) geometries. Herein, we first modulate both size and available oxygen groups in GO nanosheets to adjust the physicochemical and biological properties of polycaprolactone–gelatin electrospun nanofibrous systems. The results show that the incorporation of customized GO nanosheets modulates the properties of the nanofibers and, subsequently, markedly influences the viability of neural progenitor cell cultures. Interestingly, the partially reduced GO (rGO) nanosheets with larger dimensions trigger the best cell response, while the rGO nanosheets with smaller size provoke an accentuated decrease in the cytocompatibility of the resulting electrospun meshes. Then, the most auspicious nanofibers are synergistically accommodated onto the surface of 3D-rGO heterogeneous porous networks, giving rise to fibrous-porous combinatorial architectures suitable for enhancing adhesion and differentiation of neural cells. By varying the chemical composition of the nanofibers, it is possible to adapt their performance as physical crosslinkers for the rGO sheets, leading to the modulation of both pore size and structural/mechanical integrity of the scaffold. Importantly, the biocompatibility of the resultant fibrous-porous systems is not compromised after 14 days of cell culture, including standard differentiation patterns of neural progenitor cells. Overall, in light of these in vitro results, the reported scaffolding approach presents not only an indisputable capacity to support highly viable and interconnected neural circuits but also the potential to unlock novel strategies for neural tissue engineering applications.This work was supported by the projects UIDB/00481/2020 and UIDP/00481/2020 - FCT - Fundação para a Ciência e a Tecnologia; and CENTRO-01-0145-FEDER-022083 - Centro Portugal Regional Operational Program (Centro2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund; Agencia Estatal de Investigación of Spain and the Fondo Europeo de Desarrollo Regional (MAT2016-78857-R, AEI/FEDER, UE); RTI2018-097753-B-I00, and Severo Ochoa Program (SEV-2015-0496). A.F.G. thanks FCT for the Ph.D. grant SFRH/BD/130287/2017, which is carried out in collaboration between TEMA-UA and ICMM-CSIC. J.S. thanks FCT for the Ph.D. grant SFRH/BD/144579/2019. I.B. thanks FCT for financial support (IF/00582/2015).Peer reviewedAmerican Chemical SocietyFundação para a Ciência e a Tecnologia (Portugal)European CommissionAgencia Estatal de Investigación (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202120212020info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/230299reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MAT2016-78857-Rinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-097753-B-I00info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/SEV-2015-0496http://dx.doi.org/10.1021/acsami.0c10599Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2302992026-05-22T06:33:51Z |
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15.812429 |