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UID:20260907T094340EDT-73609vva9K@132.216.98.100
DTSTAMP:20260907T134340Z
DESCRIPTION:Cellular migration is a complex phenomenon that involves the in
 tegration of many intracellular processes\, allowing for an autonomous res
 ponse to motility cues found in the cellular environment. Cellular protrus
 ion and contraction\, crucial aspects of motility and migration\, are typi
 cally assumed to be driven by the RhoGTPases Rac and Rho\, respectively. N
 ear sites of protrusion\, integrin-based adhesions spontaneously assemble 
 and serve as both biochemical signaling hubs that feedback onto the local 
 balance of Rac and Rho activity levels (e.g.\, through phosphorylation of 
 the adhesion-associated protein paxillin) as well as force transmission po
 ints that cells can use to displace their bulk. This bidirectional feedbac
 k between biochemical activities and cellular displacement/mechanics makes
  understanding how cellular processes interact collectively with external 
 cues to produce motility a challenging task. To complement the existing ex
 perimental methods used to study this system\, we use computational modeli
 ng approaches to explore some facets of cellular motility. That includes (
 1) investigating how front-to-rear polarity\, as well as certain motility 
 phenotypes\, are produced by the spatio-temporal dynamics of RhoGTPases ar
 ising from of a combination of their intrinsic molecular properties and bi
 ochemical signaling\; (2) developing a biophysical model that describes th
 e nanoscale formation of integrin-based adhesions capable of explaining ex
 perimental variations in integrin density and predicting the mechanical co
 nditions required for self-assembly of adhesions\; and (3) focusing on a c
 ellular-scale model of protrusion to show how local interactions between m
 aturing adhesions and VASP\, an anti-capping protein for actin filaments\,
  produce a variety of spatio-temporal patterns of protrusion\, and how mec
 hanical feedback through adhesions modifies these patterns. These results 
 are compared to experimental findings to give more insight than would be f
 easible to achieve solely through experiments.\n\nThis seminar will be giv
 en online via Zoom. Details in attached poster.\n	 \n
DTSTART:20200925T150000Z
DTEND:20200925T160000Z
SUMMARY:Online Seminar - Modelling the Dynamics of Cellular Motility\, from
  Adhesion Dynamics to Cellular Migration
URL:https://www.mcgill.ca/physiology/channels/event/online-seminar-modellin
 g-dynamics-cellular-motility-adhesion-dynamics-cellular-migration-324641
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