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Integrated computational and experimental pipeline for quantifying local cell–matrix interactions
Cellular interactions with the extracellular matrix (ECM) play a key role in modulating biological processes. While studies have identified key molecular factors of these interactions, the mechanical regulation associated with these interactions is not well characterized. To address this, we present...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361134/ https://www.ncbi.nlm.nih.gov/pubmed/34385554 http://dx.doi.org/10.1038/s41598-021-95935-2 |
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author | Xiao, Hugh Nguyen, Ryan Y. LaRanger, Ryan Herzog, Erica L. Mak, Michael |
author_facet | Xiao, Hugh Nguyen, Ryan Y. LaRanger, Ryan Herzog, Erica L. Mak, Michael |
author_sort | Xiao, Hugh |
collection | PubMed |
description | Cellular interactions with the extracellular matrix (ECM) play a key role in modulating biological processes. While studies have identified key molecular factors of these interactions, the mechanical regulation associated with these interactions is not well characterized. To address this, we present an image analysis platform to analyze time-dependent dynamics observed in lung fibroblasts embedded in a 3D collagen matrix. Combining drug studies with quantitative analysis of cell–matrix interactions, our results are able to provide cellular level quantitative insights for mechanical and biophysical phenomena relevant to cell-ECM interactions. This system overall represents an initial pipeline for understanding cell mechanics in a 3D collagen gel and their implications in a physiologically relevant context. |
format | Online Article Text |
id | pubmed-8361134 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-83611342021-08-17 Integrated computational and experimental pipeline for quantifying local cell–matrix interactions Xiao, Hugh Nguyen, Ryan Y. LaRanger, Ryan Herzog, Erica L. Mak, Michael Sci Rep Article Cellular interactions with the extracellular matrix (ECM) play a key role in modulating biological processes. While studies have identified key molecular factors of these interactions, the mechanical regulation associated with these interactions is not well characterized. To address this, we present an image analysis platform to analyze time-dependent dynamics observed in lung fibroblasts embedded in a 3D collagen matrix. Combining drug studies with quantitative analysis of cell–matrix interactions, our results are able to provide cellular level quantitative insights for mechanical and biophysical phenomena relevant to cell-ECM interactions. This system overall represents an initial pipeline for understanding cell mechanics in a 3D collagen gel and their implications in a physiologically relevant context. Nature Publishing Group UK 2021-08-12 /pmc/articles/PMC8361134/ /pubmed/34385554 http://dx.doi.org/10.1038/s41598-021-95935-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Xiao, Hugh Nguyen, Ryan Y. LaRanger, Ryan Herzog, Erica L. Mak, Michael Integrated computational and experimental pipeline for quantifying local cell–matrix interactions |
title | Integrated computational and experimental pipeline for quantifying local cell–matrix interactions |
title_full | Integrated computational and experimental pipeline for quantifying local cell–matrix interactions |
title_fullStr | Integrated computational and experimental pipeline for quantifying local cell–matrix interactions |
title_full_unstemmed | Integrated computational and experimental pipeline for quantifying local cell–matrix interactions |
title_short | Integrated computational and experimental pipeline for quantifying local cell–matrix interactions |
title_sort | integrated computational and experimental pipeline for quantifying local cell–matrix interactions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361134/ https://www.ncbi.nlm.nih.gov/pubmed/34385554 http://dx.doi.org/10.1038/s41598-021-95935-2 |
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