Integrated computational and experimental pipeline for quantifying local cell–matrix interactions

Abstract 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, w...

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Autores principales:	Hugh Xiao, Ryan Y. Nguyen, Ryan LaRanger, Erica L. Herzog, Michael Mak
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/2a1a073e5be449128718a57ccb25c785
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spelling	oai:doaj.org-article:2a1a073e5be449128718a57ccb25c7852021-12-02T19:06:38ZIntegrated computational and experimental pipeline for quantifying local cell–matrix interactions10.1038/s41598-021-95935-22045-2322https://doaj.org/article/2a1a073e5be449128718a57ccb25c7852021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-95935-2https://doaj.org/toc/2045-2322Abstract 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.Hugh XiaoRyan Y. NguyenRyan LaRangerErica L. HerzogMichael MakNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Hugh Xiao Ryan Y. Nguyen Ryan LaRanger Erica L. Herzog Michael Mak Integrated computational and experimental pipeline for quantifying local cell–matrix interactions
description	Abstract 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	article
author	Hugh Xiao Ryan Y. Nguyen Ryan LaRanger Erica L. Herzog Michael Mak
author_facet	Hugh Xiao Ryan Y. Nguyen Ryan LaRanger Erica L. Herzog Michael Mak
author_sort	Hugh Xiao
title	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_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_sort	integrated computational and experimental pipeline for quantifying local cell–matrix interactions
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/2a1a073e5be449128718a57ccb25c785
work_keys_str_mv	AT hughxiao integratedcomputationalandexperimentalpipelineforquantifyinglocalcellmatrixinteractions AT ryanynguyen integratedcomputationalandexperimentalpipelineforquantifyinglocalcellmatrixinteractions AT ryanlaranger integratedcomputationalandexperimentalpipelineforquantifyinglocalcellmatrixinteractions AT ericalherzog integratedcomputationalandexperimentalpipelineforquantifyinglocalcellmatrixinteractions AT michaelmak integratedcomputationalandexperimentalpipelineforquantifyinglocalcellmatrixinteractions
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Integrated computational and experimental pipeline for quantifying local cell–matrix interactions

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