Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.742181
Title: Image based modelling of bleb site selection
Author: Collier, Sharon
ISNI:       0000 0004 7227 3622
Awarding Body: University of Warwick
Current Institution: University of Warwick
Date of Award: 2017
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Abstract:
Cellular blebs are fast, pressure-driven protrusions of the cell membrane that are initially devoid of F-actin. Although blebs have often been overlooked as a functional part of cell motility, blebbing has been shown to play an important role in migration in 3D mechanically resistive environments, such as movement through densely packed tissues. The location of bleb nucleation sites is often assumed to be entirely stochastic, however, cells migrating using blebbing motility have been repeatedly observed to perform persistent, directional movement. Given the compelling evidence on the role of blebbing in directional cell migration, relatively little is known on the mechanisms of bleb site selection; how bleb sites are determined and directed to the cell front remains an open question. Previously, Tyson et al. found that chemotaxing Dictyostelium cells preferentially bleb from concave regions, where membrane tension could facilitate membrane-cortex detachment. Based on this, a biophysical model for curvature dependent bleb nucleation was proposed, hinting at the possibility that polarised blebbing was due to physical forces alone. We develop a novel image based modeling approach, using real cell contours from image data to initialise the model. This enables us to link quantitative experimental data and predictive modeling on the spatial distribution of blebs for the first time. We proceed to show that the extent to which cell geometry is a good predictor of bleb site selection is highly dependent on the degree of mechanical resistance the cells experience. For cells in highly resistive environments, where we observe the front and rear of the cell to be geometrically distinct, our novel modeling approach demonstrates that physical forces are sufficient to polarise blebbing activity in chemotaxing cells. For cells in low resistive environments however, where the front and rear of the cell are not geometrically distinct, we show that an additional mechanism is required to restrict blebbing to the cell front. We propose this additional mechanism to be a front-to-rear gradient in the linker protein TalinA. Creation of a TalinA-mNeon construct allows us to experimentally confirm the existence of an asymmetric linker distribution. We incorporate the observed exponential linker gradient within the model. Inclusion of this mechanism increases the predictive power of the model, with regard to the spatial distribution of experimentally observed bleb sites, through efficiently directing blebbing activity to the cell front. We have created a method which links quantitative experimental data and predictive modeling, this tool allows us to disentangle the role of physical forces and biological mechanisms in the prediction of bleb nucleation sites.
Supervisor: Not available Sponsor: Molecular Organisation and Assembly in Cells ; Engineering and Physical Sciences Research Council
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.742181  DOI: Not available
Keywords: QH301 Biology
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