Modelling collective cell movement

Event


Date:

Event time : 4:00 pm

Please Note: The lecture will be followed by an informal reception

University of Glasgow, Lecture Theatre 2, Boyd Orr Building

University Avenue, Glasgow, G12 8QQ, UK

Organiser: School of Mathematics and Statistics, University of Glasgow

Tuesday April 18, 2017 4:00 pm Tuesday April 18, 2017 4:00 pm Europe/London Modelling collective cell movement University of Glasgow, Lecture Theatre 2, Boyd Orr Building, University Avenue, Glasgow, G12 8QQ, UK Modelling collective cell movement, a talk by Professor Philip K Maini FRS (University of Oxford) The University of Glasgow Sneddon Lecture Abstract […] The lecture will be followed by an informal reception Event Link: https://ima.org.uk/5627/modelling-collective-cell-movement/ School of Mathematics and Statistics, University of Glasgow

Modelling collective cell movement


Modelling collective cell movement, a talk by Professor Philip K Maini FRS (University of Oxford) The University of Glasgow Sneddon Lecture

Abstract

Collective cell movement is ubiquitous in biology, occurring both in normal processes (for example, development, wound healing) and in disease (for example, cancer).  In most of these examples, how cells coordinate their movement is still not well understood.  We will consider two examples: (i) angiogenesis is the process by which new blood vessels are formed in response to, for example, wounding or tumour growth.  Typically, this has been modelled phenomenologically using the well-known snail-trail framework, leading to a coupled system of nonlinear partial differential equations for two key endothelial cell populations (tips and sprouts).  Here, we revisit this model and show that a more formal derivation of the PDE model, from a discrete master equation framework, leads to a novel coupled system of PDEs to those studied in the literature; (ii) neural crest cell invasion is a very important early developmental process and also shares many common features with melanoma cell invasion.  Here, we use a combined experimental and mathematical modelling study to shed light on a number of questions regarding the basic principles of this phenomenon.

Image credit: Metastatic Melanoma Cells by NIH Image Gallery / Flickr / CC BY-NC 2.0

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