Image based modeling of bleb site selection

Abstract Cells often employ fast, pressure-driven blebs to move through tissues or against mechanical resistance, but how bleb sites are selected and directed to the cell front remains an open question. Previously, we found that chemotaxing Dictyostelium cells preferentially bleb from concave region...

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Autores principales:	Sharon Collier, Peggy Paschke, Robert R. Kay, Till Bretschneider
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/71ddb652264f426bbc129e1da08b70c6
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id	oai:doaj.org-article:71ddb652264f426bbc129e1da08b70c6
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spelling	oai:doaj.org-article:71ddb652264f426bbc129e1da08b70c62021-12-02T11:52:26ZImage based modeling of bleb site selection10.1038/s41598-017-06875-92045-2322https://doaj.org/article/71ddb652264f426bbc129e1da08b70c62017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-06875-9https://doaj.org/toc/2045-2322Abstract Cells often employ fast, pressure-driven blebs to move through tissues or against mechanical resistance, but how bleb sites are selected and directed to the cell front remains an open question. Previously, we found that chemotaxing Dictyostelium cells preferentially bleb from concave regions, where membrane tension facilitates membrane-cortex detachment. Now, through a novel modeling approach based on actual cell contours, we use cell geometry to predict where blebs will form in migrating cells. We find that cell geometry alone, and by implication, physical forces in the membrane, is sufficient to predict the location of blebs in rounded cells moving in a highly resistive environment. The model is less successful with more polarized cells moving against less resistance, but can be greatly improved by positing a front-to-back gradient in membrane-cortex adhesion. In accord with this prediction, we find that Talin, which links membrane and cortex, forms such a front-to-back gradient. Thus our model provides a means of dissecting out the role of physical forces in controlling where blebs form, and shows that in certain circumstances they could be the major determining factor.Sharon CollierPeggy PaschkeRobert R. KayTill BretschneiderNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sharon Collier Peggy Paschke Robert R. Kay Till Bretschneider Image based modeling of bleb site selection
description	Abstract Cells often employ fast, pressure-driven blebs to move through tissues or against mechanical resistance, but how bleb sites are selected and directed to the cell front remains an open question. Previously, we found that chemotaxing Dictyostelium cells preferentially bleb from concave regions, where membrane tension facilitates membrane-cortex detachment. Now, through a novel modeling approach based on actual cell contours, we use cell geometry to predict where blebs will form in migrating cells. We find that cell geometry alone, and by implication, physical forces in the membrane, is sufficient to predict the location of blebs in rounded cells moving in a highly resistive environment. The model is less successful with more polarized cells moving against less resistance, but can be greatly improved by positing a front-to-back gradient in membrane-cortex adhesion. In accord with this prediction, we find that Talin, which links membrane and cortex, forms such a front-to-back gradient. Thus our model provides a means of dissecting out the role of physical forces in controlling where blebs form, and shows that in certain circumstances they could be the major determining factor.
format	article
author	Sharon Collier Peggy Paschke Robert R. Kay Till Bretschneider
author_facet	Sharon Collier Peggy Paschke Robert R. Kay Till Bretschneider
author_sort	Sharon Collier
title	Image based modeling of bleb site selection
title_short	Image based modeling of bleb site selection
title_full	Image based modeling of bleb site selection
title_fullStr	Image based modeling of bleb site selection
title_full_unstemmed	Image based modeling of bleb site selection
title_sort	image based modeling of bleb site selection
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/71ddb652264f426bbc129e1da08b70c6
work_keys_str_mv	AT sharoncollier imagebasedmodelingofblebsiteselection AT peggypaschke imagebasedmodelingofblebsiteselection AT robertrkay imagebasedmodelingofblebsiteselection AT tillbretschneider imagebasedmodelingofblebsiteselection
_version_	1718395052477120512

Image based modeling of bleb site selection

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