Quantitative Super-Resolution Microscopy to Assess Adhesion of Neuronal Cells on Single-Layer Graphene Substrates

Single Layer Graphene (SLG) has emerged as a critically important nanomaterial due to its unique optical and electrical properties and has become a potential candidate for biomedical applications, biosensors, and tissue engineering. Due to its intrinsic 2D nature, SLG is an ideal surface for the dev...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Silvia Scalisi, Francesca Pennacchietti, Sandeep Keshavan, Nathan D. Derr, Alberto Diaspro, Dario Pisignano, Agnieszka Pierzynska-Mach, Silvia Dante, Francesca Cella Zanacchi
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	biophysics super-resolution microscopy graphene adhesion complexes single molecule localization microscopy Chemical technology TP1-1185 Chemical engineering TP155-156
Acceso en línea:	https://doaj.org/article/772470da720342799d975defdb283525
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:772470da720342799d975defdb283525
record_format	dspace
spelling	oai:doaj.org-article:772470da720342799d975defdb2835252021-11-25T18:20:00ZQuantitative Super-Resolution Microscopy to Assess Adhesion of Neuronal Cells on Single-Layer Graphene Substrates10.3390/membranes111108782077-0375https://doaj.org/article/772470da720342799d975defdb2835252021-11-01T00:00:00Zhttps://www.mdpi.com/2077-0375/11/11/878https://doaj.org/toc/2077-0375Single Layer Graphene (SLG) has emerged as a critically important nanomaterial due to its unique optical and electrical properties and has become a potential candidate for biomedical applications, biosensors, and tissue engineering. Due to its intrinsic 2D nature, SLG is an ideal surface for the development of large-area biosensors and, due to its biocompatibility, can be easily exploited as a substrate for cell growth. The cellular response to SLG has been addressed in different studies with high cellular affinity for graphene often detected. Still, little is known about the molecular mechanism that drives/regulates the cellular adhesion and migration on SLG and SLG-coated interfaces with respect to other substrates<b>.</b> Within this scenario, we used quantitative super-resolution microscopy based on single-molecule localization to study the molecular distribution of adhesion proteins at the nanoscale level in cells growing on SLG and glass. In order to reveal the molecular mechanisms underlying the higher affinity of biological samples on SLG, we exploited stochastic optical reconstruction microscopy (STORM) imaging and cluster analysis, quantifying the super-resolution localization of the adhesion protein vinculin in neurons and clearly highlighting substrate-related correlations. Additionally, a comparison with an epithelial cell line (Chinese Hamster Ovary) revealed a cell dependent mechanism of interaction with SLG.Silvia ScalisiFrancesca PennacchiettiSandeep KeshavanNathan D. DerrAlberto DiasproDario PisignanoAgnieszka Pierzynska-MachSilvia DanteFrancesca Cella ZanacchiMDPI AGarticlebiophysicssuper-resolution microscopygrapheneadhesion complexessingle molecule localization microscopyChemical technologyTP1-1185Chemical engineeringTP155-156ENMembranes, Vol 11, Iss 878, p 878 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	biophysics super-resolution microscopy graphene adhesion complexes single molecule localization microscopy Chemical technology TP1-1185 Chemical engineering TP155-156
spellingShingle	biophysics super-resolution microscopy graphene adhesion complexes single molecule localization microscopy Chemical technology TP1-1185 Chemical engineering TP155-156 Silvia Scalisi Francesca Pennacchietti Sandeep Keshavan Nathan D. Derr Alberto Diaspro Dario Pisignano Agnieszka Pierzynska-Mach Silvia Dante Francesca Cella Zanacchi Quantitative Super-Resolution Microscopy to Assess Adhesion of Neuronal Cells on Single-Layer Graphene Substrates
description	Single Layer Graphene (SLG) has emerged as a critically important nanomaterial due to its unique optical and electrical properties and has become a potential candidate for biomedical applications, biosensors, and tissue engineering. Due to its intrinsic 2D nature, SLG is an ideal surface for the development of large-area biosensors and, due to its biocompatibility, can be easily exploited as a substrate for cell growth. The cellular response to SLG has been addressed in different studies with high cellular affinity for graphene often detected. Still, little is known about the molecular mechanism that drives/regulates the cellular adhesion and migration on SLG and SLG-coated interfaces with respect to other substrates<b>.</b> Within this scenario, we used quantitative super-resolution microscopy based on single-molecule localization to study the molecular distribution of adhesion proteins at the nanoscale level in cells growing on SLG and glass. In order to reveal the molecular mechanisms underlying the higher affinity of biological samples on SLG, we exploited stochastic optical reconstruction microscopy (STORM) imaging and cluster analysis, quantifying the super-resolution localization of the adhesion protein vinculin in neurons and clearly highlighting substrate-related correlations. Additionally, a comparison with an epithelial cell line (Chinese Hamster Ovary) revealed a cell dependent mechanism of interaction with SLG.
format	article
author	Silvia Scalisi Francesca Pennacchietti Sandeep Keshavan Nathan D. Derr Alberto Diaspro Dario Pisignano Agnieszka Pierzynska-Mach Silvia Dante Francesca Cella Zanacchi
author_facet	Silvia Scalisi Francesca Pennacchietti Sandeep Keshavan Nathan D. Derr Alberto Diaspro Dario Pisignano Agnieszka Pierzynska-Mach Silvia Dante Francesca Cella Zanacchi
author_sort	Silvia Scalisi
title	Quantitative Super-Resolution Microscopy to Assess Adhesion of Neuronal Cells on Single-Layer Graphene Substrates
title_short	Quantitative Super-Resolution Microscopy to Assess Adhesion of Neuronal Cells on Single-Layer Graphene Substrates
title_full	Quantitative Super-Resolution Microscopy to Assess Adhesion of Neuronal Cells on Single-Layer Graphene Substrates
title_fullStr	Quantitative Super-Resolution Microscopy to Assess Adhesion of Neuronal Cells on Single-Layer Graphene Substrates
title_full_unstemmed	Quantitative Super-Resolution Microscopy to Assess Adhesion of Neuronal Cells on Single-Layer Graphene Substrates
title_sort	quantitative super-resolution microscopy to assess adhesion of neuronal cells on single-layer graphene substrates
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/772470da720342799d975defdb283525
work_keys_str_mv	AT silviascalisi quantitativesuperresolutionmicroscopytoassessadhesionofneuronalcellsonsinglelayergraphenesubstrates AT francescapennacchietti quantitativesuperresolutionmicroscopytoassessadhesionofneuronalcellsonsinglelayergraphenesubstrates AT sandeepkeshavan quantitativesuperresolutionmicroscopytoassessadhesionofneuronalcellsonsinglelayergraphenesubstrates AT nathandderr quantitativesuperresolutionmicroscopytoassessadhesionofneuronalcellsonsinglelayergraphenesubstrates AT albertodiaspro quantitativesuperresolutionmicroscopytoassessadhesionofneuronalcellsonsinglelayergraphenesubstrates AT dariopisignano quantitativesuperresolutionmicroscopytoassessadhesionofneuronalcellsonsinglelayergraphenesubstrates AT agnieszkapierzynskamach quantitativesuperresolutionmicroscopytoassessadhesionofneuronalcellsonsinglelayergraphenesubstrates AT silviadante quantitativesuperresolutionmicroscopytoassessadhesionofneuronalcellsonsinglelayergraphenesubstrates AT francescacellazanacchi quantitativesuperresolutionmicroscopytoassessadhesionofneuronalcellsonsinglelayergraphenesubstrates
_version_	1718411328436043776

Quantitative Super-Resolution Microscopy to Assess Adhesion of Neuronal Cells on Single-Layer Graphene Substrates

Ejemplares similares