BioFlow: a non-invasive, image-based method to measure speed, pressure and forces inside living cells

Abstract Cell motility is governed by a complex molecular machinery that converts physico-chemical cues into whole-cell movement. Understanding the underlying biophysical mechanisms requires the ability to measure physical quantities inside the cell in a simple, reproducible and preferably non-invas...

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Autores principales:	Aleix Boquet-Pujadas, Timothée Lecomte, Maria Manich, Roman Thibeaux, Elisabeth Labruyère, Nancy Guillén, Jean-Christophe Olivo-Marin, Alexandre C. Dufour
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9e8af26e55424a35b8aaabc5ce19de12
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spelling	oai:doaj.org-article:9e8af26e55424a35b8aaabc5ce19de122021-12-02T16:06:10ZBioFlow: a non-invasive, image-based method to measure speed, pressure and forces inside living cells10.1038/s41598-017-09240-y2045-2322https://doaj.org/article/9e8af26e55424a35b8aaabc5ce19de122017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-09240-yhttps://doaj.org/toc/2045-2322Abstract Cell motility is governed by a complex molecular machinery that converts physico-chemical cues into whole-cell movement. Understanding the underlying biophysical mechanisms requires the ability to measure physical quantities inside the cell in a simple, reproducible and preferably non-invasive manner. To this end, we developed BioFlow, a computational mechano-imaging method and associated software able to extract intracellular measurements including pressure, forces and velocity everywhere inside freely moving cells in two and three dimensions with high spatial resolution in a non-invasive manner. This is achieved by extracting the motion of intracellular material observed using fluorescence microscopy, while simultaneously inferring the parameters of a given theoretical model of the cell interior. We illustrate the power of BioFlow in the context of amoeboid cell migration, by modelling the intracellular actin bulk flow of the parasite Entamoeba histolytica using fluid dynamics, and report unique experimental measures that complement and extend both theoretical estimations and invasive experimental measures. Thanks to its flexibility, BioFlow is easily adaptable to other theoretical models of the cell, and alleviates the need for complex or invasive experimental conditions, thus constituting a powerful tool-kit for mechano-biology studies. BioFlow is open-source and freely available via the Icy software.Aleix Boquet-PujadasTimothée LecomteMaria ManichRoman ThibeauxElisabeth LabruyèreNancy GuillénJean-Christophe Olivo-MarinAlexandre C. DufourNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-16 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Aleix Boquet-Pujadas Timothée Lecomte Maria Manich Roman Thibeaux Elisabeth Labruyère Nancy Guillén Jean-Christophe Olivo-Marin Alexandre C. Dufour BioFlow: a non-invasive, image-based method to measure speed, pressure and forces inside living cells
description	Abstract Cell motility is governed by a complex molecular machinery that converts physico-chemical cues into whole-cell movement. Understanding the underlying biophysical mechanisms requires the ability to measure physical quantities inside the cell in a simple, reproducible and preferably non-invasive manner. To this end, we developed BioFlow, a computational mechano-imaging method and associated software able to extract intracellular measurements including pressure, forces and velocity everywhere inside freely moving cells in two and three dimensions with high spatial resolution in a non-invasive manner. This is achieved by extracting the motion of intracellular material observed using fluorescence microscopy, while simultaneously inferring the parameters of a given theoretical model of the cell interior. We illustrate the power of BioFlow in the context of amoeboid cell migration, by modelling the intracellular actin bulk flow of the parasite Entamoeba histolytica using fluid dynamics, and report unique experimental measures that complement and extend both theoretical estimations and invasive experimental measures. Thanks to its flexibility, BioFlow is easily adaptable to other theoretical models of the cell, and alleviates the need for complex or invasive experimental conditions, thus constituting a powerful tool-kit for mechano-biology studies. BioFlow is open-source and freely available via the Icy software.
format	article
author	Aleix Boquet-Pujadas Timothée Lecomte Maria Manich Roman Thibeaux Elisabeth Labruyère Nancy Guillén Jean-Christophe Olivo-Marin Alexandre C. Dufour
author_facet	Aleix Boquet-Pujadas Timothée Lecomte Maria Manich Roman Thibeaux Elisabeth Labruyère Nancy Guillén Jean-Christophe Olivo-Marin Alexandre C. Dufour
author_sort	Aleix Boquet-Pujadas
title	BioFlow: a non-invasive, image-based method to measure speed, pressure and forces inside living cells
title_short	BioFlow: a non-invasive, image-based method to measure speed, pressure and forces inside living cells
title_full	BioFlow: a non-invasive, image-based method to measure speed, pressure and forces inside living cells
title_fullStr	BioFlow: a non-invasive, image-based method to measure speed, pressure and forces inside living cells
title_full_unstemmed	BioFlow: a non-invasive, image-based method to measure speed, pressure and forces inside living cells
title_sort	bioflow: a non-invasive, image-based method to measure speed, pressure and forces inside living cells
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/9e8af26e55424a35b8aaabc5ce19de12
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BioFlow: a non-invasive, image-based method to measure speed, pressure and forces inside living cells

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