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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Membranes |
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| Online Access: | https://www.mdpi.com/2077-0375/11/11/878 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T05:17:51Z |
| format | Article |
| id | doaj.art-772470da720342799d975defdb283525 |
| institution | Directory Open Access Journal |
| issn | 2077-0375 |
| language | English |
| last_indexed | 2024-03-10T05:17:51Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Membranes |
| spelling | doaj.art-772470da720342799d975defdb2835252023-11-23T00:19:58ZengMDPI AGMembranes2077-03752021-11-01111187810.3390/membranes11110878Quantitative Super-Resolution Microscopy to Assess Adhesion of Neuronal Cells on Single-Layer Graphene SubstratesSilvia Scalisi0Francesca Pennacchietti1Sandeep Keshavan2Nathan D. Derr3Alberto Diaspro4Dario Pisignano5Agnieszka Pierzynska-Mach6Silvia Dante7Francesca Cella Zanacchi8Nanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, 16152 Genoa, ItalyNanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, 16152 Genoa, ItalyMaterials Characterization Facility, Istituto Italiano di Tecnologia, 16163 Genoa, ItalyCenter for Microscopy and Imaging & Department of Biological Sciences, Smith College, 44 College Lane, Northampton, MA 01063, USANanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, 16152 Genoa, ItalyPhysics Department ‘E. Fermi’, University of Pisa, 56127 Pisa, ItalyNanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, 16152 Genoa, ItalyMaterials Characterization Facility, Istituto Italiano di Tecnologia, 16163 Genoa, ItalyNanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, 16152 Genoa, ItalySingle 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.https://www.mdpi.com/2077-0375/11/11/878biophysicssuper-resolution microscopygrapheneadhesion complexessingle molecule localization microscopy |
| spellingShingle | 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 Membranes biophysics super-resolution microscopy graphene adhesion complexes single molecule localization microscopy |
| title | 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_short | 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 |
| topic | biophysics super-resolution microscopy graphene adhesion complexes single molecule localization microscopy |
| url | https://www.mdpi.com/2077-0375/11/11/878 |
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