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Cells on Hydrogels with Micron-Scaled Stiffness Patterns Demonstrate Local Stiffness Sensing
Cell rigidity sensing—a basic cellular process allowing cells to adapt to mechanical cues—involves cell capabilities exerting force on the extracellular environment. In vivo, cells are exposed to multi-scaled heterogeneities in the mechanical properties of the surroundings. Here, we investigate whet...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880377/ https://www.ncbi.nlm.nih.gov/pubmed/35214978 http://dx.doi.org/10.3390/nano12040648 |
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author | Mgharbel, Abbas Migdal, Camille Bouchonville, Nicolas Dupenloup, Paul Fuard, David Lopez-Soler, Eline Tomba, Caterina Courçon, Marie Gulino-Debrac, Danielle Delanoë-Ayari, Héléne Nicolas, Alice |
author_facet | Mgharbel, Abbas Migdal, Camille Bouchonville, Nicolas Dupenloup, Paul Fuard, David Lopez-Soler, Eline Tomba, Caterina Courçon, Marie Gulino-Debrac, Danielle Delanoë-Ayari, Héléne Nicolas, Alice |
author_sort | Mgharbel, Abbas |
collection | PubMed |
description | Cell rigidity sensing—a basic cellular process allowing cells to adapt to mechanical cues—involves cell capabilities exerting force on the extracellular environment. In vivo, cells are exposed to multi-scaled heterogeneities in the mechanical properties of the surroundings. Here, we investigate whether cells are able to sense micron-scaled stiffness textures by measuring the forces they transmit to the extracellular matrix. To this end, we propose an efficient photochemistry of polyacrylamide hydrogels to design micron-scale stiffness patterns with kPa/µm gradients. Additionally, we propose an original protocol for the surface coating of adhesion proteins, which allows tuning the surface density from fully coupled to fully independent of the stiffness pattern. This evidences that cells pull on their surroundings by adjusting the level of stress to the micron-scaled stiffness. This conclusion was achieved through improvements in the traction force microscopy technique, e.g., adapting to substrates with a non-uniform stiffness and achieving a submicron resolution thanks to the implementation of a pyramidal optical flow algorithm. These developments provide tools for enhancing the current understanding of the contribution of stiffness alterations in many pathologies, including cancer. |
format | Online Article Text |
id | pubmed-8880377 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88803772022-02-26 Cells on Hydrogels with Micron-Scaled Stiffness Patterns Demonstrate Local Stiffness Sensing Mgharbel, Abbas Migdal, Camille Bouchonville, Nicolas Dupenloup, Paul Fuard, David Lopez-Soler, Eline Tomba, Caterina Courçon, Marie Gulino-Debrac, Danielle Delanoë-Ayari, Héléne Nicolas, Alice Nanomaterials (Basel) Article Cell rigidity sensing—a basic cellular process allowing cells to adapt to mechanical cues—involves cell capabilities exerting force on the extracellular environment. In vivo, cells are exposed to multi-scaled heterogeneities in the mechanical properties of the surroundings. Here, we investigate whether cells are able to sense micron-scaled stiffness textures by measuring the forces they transmit to the extracellular matrix. To this end, we propose an efficient photochemistry of polyacrylamide hydrogels to design micron-scale stiffness patterns with kPa/µm gradients. Additionally, we propose an original protocol for the surface coating of adhesion proteins, which allows tuning the surface density from fully coupled to fully independent of the stiffness pattern. This evidences that cells pull on their surroundings by adjusting the level of stress to the micron-scaled stiffness. This conclusion was achieved through improvements in the traction force microscopy technique, e.g., adapting to substrates with a non-uniform stiffness and achieving a submicron resolution thanks to the implementation of a pyramidal optical flow algorithm. These developments provide tools for enhancing the current understanding of the contribution of stiffness alterations in many pathologies, including cancer. MDPI 2022-02-15 /pmc/articles/PMC8880377/ /pubmed/35214978 http://dx.doi.org/10.3390/nano12040648 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 Mgharbel, Abbas Migdal, Camille Bouchonville, Nicolas Dupenloup, Paul Fuard, David Lopez-Soler, Eline Tomba, Caterina Courçon, Marie Gulino-Debrac, Danielle Delanoë-Ayari, Héléne Nicolas, Alice Cells on Hydrogels with Micron-Scaled Stiffness Patterns Demonstrate Local Stiffness Sensing |
title | Cells on Hydrogels with Micron-Scaled Stiffness Patterns Demonstrate Local Stiffness Sensing |
title_full | Cells on Hydrogels with Micron-Scaled Stiffness Patterns Demonstrate Local Stiffness Sensing |
title_fullStr | Cells on Hydrogels with Micron-Scaled Stiffness Patterns Demonstrate Local Stiffness Sensing |
title_full_unstemmed | Cells on Hydrogels with Micron-Scaled Stiffness Patterns Demonstrate Local Stiffness Sensing |
title_short | Cells on Hydrogels with Micron-Scaled Stiffness Patterns Demonstrate Local Stiffness Sensing |
title_sort | cells on hydrogels with micron-scaled stiffness patterns demonstrate local stiffness sensing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880377/ https://www.ncbi.nlm.nih.gov/pubmed/35214978 http://dx.doi.org/10.3390/nano12040648 |
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