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3D Polymer Architectures for the Identification of Optimal Dimensions for Cellular Growth of 3D Cellular Models

Organ-on-chips and scaffolds for tissue engineering are vital assay tools for pre-clinical testing and prediction of human response to drugs and toxins, while providing an ethical sound replacement for animal testing. A success criterion for these models is the ability to have structural parameters...

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Autores principales: Maibohm, Christian, Saldana-Lopez, Alberto, Silvestre, Oscar F., Nieder, Jana B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572445/
https://www.ncbi.nlm.nih.gov/pubmed/36236117
http://dx.doi.org/10.3390/polym14194168
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author Maibohm, Christian
Saldana-Lopez, Alberto
Silvestre, Oscar F.
Nieder, Jana B.
author_facet Maibohm, Christian
Saldana-Lopez, Alberto
Silvestre, Oscar F.
Nieder, Jana B.
author_sort Maibohm, Christian
collection PubMed
description Organ-on-chips and scaffolds for tissue engineering are vital assay tools for pre-clinical testing and prediction of human response to drugs and toxins, while providing an ethical sound replacement for animal testing. A success criterion for these models is the ability to have structural parameters for optimized performance. Here we show that two-photon polymerization fabrication can create 3D test platforms, where scaffold parameters can be directly analyzed by their effects on cell growth and movement. We design and fabricate a 3D grid structure, consisting of wall structures with niches of various dimensions for probing cell attachment and movement, while providing easy access for fluorescence imaging. The 3D structures are fabricated from bio-compatible polymer SZ2080 and subsequently seeded with A549 lung epithelia cells. The seeded structures are imaged with confocal microscopy, where spectral imaging with linear unmixing is used to separate auto-fluorescence scaffold contribution from the cell fluorescence. The volume of cellular material present in different sections of the structures is analyzed, to study the influence of structural parameters on cell distribution. Furthermore, time-lapse studies are performed to map the relation between scaffold parameters and cell movement. In the future, this kind of differentiated 3D growth platform, could be applied for optimized culture growth, cell differentiation, and advanced cell therapies.
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spelling pubmed-95724452022-10-17 3D Polymer Architectures for the Identification of Optimal Dimensions for Cellular Growth of 3D Cellular Models Maibohm, Christian Saldana-Lopez, Alberto Silvestre, Oscar F. Nieder, Jana B. Polymers (Basel) Article Organ-on-chips and scaffolds for tissue engineering are vital assay tools for pre-clinical testing and prediction of human response to drugs and toxins, while providing an ethical sound replacement for animal testing. A success criterion for these models is the ability to have structural parameters for optimized performance. Here we show that two-photon polymerization fabrication can create 3D test platforms, where scaffold parameters can be directly analyzed by their effects on cell growth and movement. We design and fabricate a 3D grid structure, consisting of wall structures with niches of various dimensions for probing cell attachment and movement, while providing easy access for fluorescence imaging. The 3D structures are fabricated from bio-compatible polymer SZ2080 and subsequently seeded with A549 lung epithelia cells. The seeded structures are imaged with confocal microscopy, where spectral imaging with linear unmixing is used to separate auto-fluorescence scaffold contribution from the cell fluorescence. The volume of cellular material present in different sections of the structures is analyzed, to study the influence of structural parameters on cell distribution. Furthermore, time-lapse studies are performed to map the relation between scaffold parameters and cell movement. In the future, this kind of differentiated 3D growth platform, could be applied for optimized culture growth, cell differentiation, and advanced cell therapies. MDPI 2022-10-04 /pmc/articles/PMC9572445/ /pubmed/36236117 http://dx.doi.org/10.3390/polym14194168 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Maibohm, Christian
Saldana-Lopez, Alberto
Silvestre, Oscar F.
Nieder, Jana B.
3D Polymer Architectures for the Identification of Optimal Dimensions for Cellular Growth of 3D Cellular Models
title 3D Polymer Architectures for the Identification of Optimal Dimensions for Cellular Growth of 3D Cellular Models
title_full 3D Polymer Architectures for the Identification of Optimal Dimensions for Cellular Growth of 3D Cellular Models
title_fullStr 3D Polymer Architectures for the Identification of Optimal Dimensions for Cellular Growth of 3D Cellular Models
title_full_unstemmed 3D Polymer Architectures for the Identification of Optimal Dimensions for Cellular Growth of 3D Cellular Models
title_short 3D Polymer Architectures for the Identification of Optimal Dimensions for Cellular Growth of 3D Cellular Models
title_sort 3d polymer architectures for the identification of optimal dimensions for cellular growth of 3d cellular models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572445/
https://www.ncbi.nlm.nih.gov/pubmed/36236117
http://dx.doi.org/10.3390/polym14194168
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