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Self-agglomerated collagen patterns govern cell behaviour

Reciprocity between cells and their surrounding extracellular matrix is one of the main drivers for cellular function and, in turn, matrix maintenance and remodelling. Unravelling how cells respond to their environment is key in understanding mechanisms of health and disease. In all these examples,...

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Autores principales: Dede Eren, Aysegul, Eren, E. Deniz, Wilting, Twan J. S., de Boer, Jan, Gelderblom, Hanneke, Foolen, Jasper
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7810981/
https://www.ncbi.nlm.nih.gov/pubmed/33452334
http://dx.doi.org/10.1038/s41598-021-81054-5
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author Dede Eren, Aysegul
Eren, E. Deniz
Wilting, Twan J. S.
de Boer, Jan
Gelderblom, Hanneke
Foolen, Jasper
author_facet Dede Eren, Aysegul
Eren, E. Deniz
Wilting, Twan J. S.
de Boer, Jan
Gelderblom, Hanneke
Foolen, Jasper
author_sort Dede Eren, Aysegul
collection PubMed
description Reciprocity between cells and their surrounding extracellular matrix is one of the main drivers for cellular function and, in turn, matrix maintenance and remodelling. Unravelling how cells respond to their environment is key in understanding mechanisms of health and disease. In all these examples, matrix anisotropy is an important element, since it can alter the cell shape and fate. In this work, the objective is to develop and exploit easy-to-produce platforms that can be used to study the cellular response to natural proteins assembled into diverse topographical cues. We demonstrate a robust and simple approach to form collagen substrates with different topographies by evaporating droplets of a collagen solution. Upon evaporation of the collagen solution, a stain of collagen is left behind, composed of three regions with a distinct pattern: an isotropic region, a concentric ring pattern, and a radially oriented region. The formation and size of these regions can be controlled by the evaporation rate of the droplet and initial collagen concentration. The patterns form topographical cues inducing a pattern-specific cell (tenocyte) morphology, density, and proliferation. Rapid and cost-effective production of different self-agglomerated collagen topographies and their interfaces enables further study of the cell shape-phenotype relationship in vitro. Substrate topography and in analogy tissue architecture remains a cue that can and will be used to steer and understand cell function in vitro, which in turn can be applied in vivo, e.g. in optimizing tissue engineering applications.
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spelling pubmed-78109812021-01-21 Self-agglomerated collagen patterns govern cell behaviour Dede Eren, Aysegul Eren, E. Deniz Wilting, Twan J. S. de Boer, Jan Gelderblom, Hanneke Foolen, Jasper Sci Rep Article Reciprocity between cells and their surrounding extracellular matrix is one of the main drivers for cellular function and, in turn, matrix maintenance and remodelling. Unravelling how cells respond to their environment is key in understanding mechanisms of health and disease. In all these examples, matrix anisotropy is an important element, since it can alter the cell shape and fate. In this work, the objective is to develop and exploit easy-to-produce platforms that can be used to study the cellular response to natural proteins assembled into diverse topographical cues. We demonstrate a robust and simple approach to form collagen substrates with different topographies by evaporating droplets of a collagen solution. Upon evaporation of the collagen solution, a stain of collagen is left behind, composed of three regions with a distinct pattern: an isotropic region, a concentric ring pattern, and a radially oriented region. The formation and size of these regions can be controlled by the evaporation rate of the droplet and initial collagen concentration. The patterns form topographical cues inducing a pattern-specific cell (tenocyte) morphology, density, and proliferation. Rapid and cost-effective production of different self-agglomerated collagen topographies and their interfaces enables further study of the cell shape-phenotype relationship in vitro. Substrate topography and in analogy tissue architecture remains a cue that can and will be used to steer and understand cell function in vitro, which in turn can be applied in vivo, e.g. in optimizing tissue engineering applications. Nature Publishing Group UK 2021-01-15 /pmc/articles/PMC7810981/ /pubmed/33452334 http://dx.doi.org/10.1038/s41598-021-81054-5 Text en © The Author(s) 2021 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Dede Eren, Aysegul
Eren, E. Deniz
Wilting, Twan J. S.
de Boer, Jan
Gelderblom, Hanneke
Foolen, Jasper
Self-agglomerated collagen patterns govern cell behaviour
title Self-agglomerated collagen patterns govern cell behaviour
title_full Self-agglomerated collagen patterns govern cell behaviour
title_fullStr Self-agglomerated collagen patterns govern cell behaviour
title_full_unstemmed Self-agglomerated collagen patterns govern cell behaviour
title_short Self-agglomerated collagen patterns govern cell behaviour
title_sort self-agglomerated collagen patterns govern cell behaviour
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7810981/
https://www.ncbi.nlm.nih.gov/pubmed/33452334
http://dx.doi.org/10.1038/s41598-021-81054-5
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