Collier, Sharon, Paschke, Peggy, Kay, Robert R. and Bretschneider, Till (2017) Data for Image based modeling of bleb site selection. [Dataset]

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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.

Item Type:	Dataset
Subjects:	Q Science > QH Natural history > QH301 Biology
Divisions:	Faculty of Science > Chemistry Faculty of Science > Computer Science
Type of Data:	Raw image data, and processed files including QuimP segmentation output
Library of Congress Subject Headings (LCSH):	Cytology, Cell membranes, Dictyostelium
Publisher:	Department of Computer Science, University of Warwick
Official Date:	23 August 2017
Dates:	Date Event 18 July 2017 Available 23 August 2017 Published
Status:	Not Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Open Access
Description:	We include all the raw image data and QuimP analysis used in the paper. Data is subdivided into folders according to percentage of agarose overlay used (either 2% or 0pt7%), each dataset is then further subdivided into folders for individual cells analysed. QuimP file types: - Parameter files (.paQP) Store segmentation parameters, frame rate, scale and pixel size - Snake contour data (.snQP) Segmentation infro: Node positions, Node speed between frames, fluorescence intensity for each channel, x and y coordinates where fluorescence was sampled along the contour - Frame statistics (.stQP) Statistics for each frame rather than for individual nodes - Map files (.maQP) Motility map of node speeds over time, convexity map of curvature over time, Fluorescence maps of cortical fluorescence over time - Scalable vector graphics output (.svg) Cell track showing cell outlines for all time frames overlayed
RIOXX Funder/Project Grant:	Project/Grant ID RIOXX Funder Name Funder ID U105115237 Medical Research Council http://dx.doi.org/10.13039/501100000265 EP/F500378/1 [EPSRC] Engineering and Physical Sciences Research Council http://dx.doi.org/10.13039/501100000266 BB/M01150X/1 Biotechnology and Biological Sciences Research Council http://dx.doi.org/10.13039/501100000268
Related URLs:	Organisation Other Repository Related item in WRAP
Contributors:	Contribution Name Contributor ID Depositor Bretschneider, Till 22311 Depositor Collier, Sharon 66157

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