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Research Data - Engineering - Biomechanics


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Now showing 1 - 5 of 5
  • ItemOpen Access
    Research data supporting "Emergent Patterns from Probabilistic Generalisations of Lateral Activation and Inhibition"
    (2015-12) Willis, Lisa; Kabla, Alexandre
    The combination of laterally activating and inhibiting feedbacks is well known to spontaneously generate spatial organisation. It was introduced by Gierer and Meinhardt as an extension of Turing's great insight, that two reacting and diffusing chemicals can spontaneously drive spatial morphogenesis per se. In this study, we develop an accessible nonlinear and discrete probabilistic model to study simple generalisations of lateral activation and inhibition. By doing so, we identify novel modes of morphogenesis beyond the familiar Turing-type modes; notably, beyond stripes, hexagonal nets, pores, and labyrinths, we identify labyrinthine highways, Kagome lattices, gyrating labyrinths, and multi-colour travelling waves and spirals. The results are discussed within the context of Turing's original motivating interest: the mechanisms which underpin the morphogenesis of living organisms. This repository contains the supplementary movies of the paper.
  • ItemOpen Access
    Research data supporting "Emergence of homeostatic epithelial packing and stress dissipation through divisions oriented along the long cell axis"
    (2015-04-19) Wyatt, Tom P. J.; Harris, Andrew R.; Lam, Maxine; Cheng, Qian; Bellis, Julien; Dimitracopoulos, Andrea; Kabla, Alexandre J.; Charras, Guillaume T.; Baum, Buzz
  • ItemOpen Access
    Cancer Metastasis: Collective Invasion in Heterogeneous Multicellular Systems
    (2014-12-30) Kabla, Alexandre; Hallou, Adrien; Jennings, Joel
    These are supplementary files for the paper: Cancer Metastasis: Collective Invasion in Heterogeneous Multicellular Systems
  • ItemOpen Access
    Collective cell migration: leadership, invasion and segregation.
    (The Royal Society, 2012-12-07) Kabla, Alexandre J; Kabla, Alexandre [0000-0002-0280-3531]
    A number of biological processes, such as embryo development, cancer metastasis or wound healing, rely on cells moving in concert. The mechanisms leading to the emergence of coordinated motion remain however largely unexplored. Although biomolecular signalling is known to be involved in most occurrences of collective migration, the role of physical and mechanical interactions has only been recently investigated. In this study, a versatile framework for cell motility is implemented in silico in order to study the minimal requirements for the coordination of a group of epithelial cells. We find that cell motility and cell-cell mechanical interactions are sufficient to generate a broad array of behaviours commonly observed in vitro and in vivo. Cell streaming, sheet migration and susceptibility to leader cells are examples of behaviours spontaneously emerging from these simple assumptions, which might explain why collective effects are so ubiquitous in nature. The size of the population and its confinement appear, in particular, to play an important role in the coordination process. In all cases, the complex response of the population can be predicted from the knowledge of the correlation length of the velocity field measured in the bulk of the epithelial layer. This analysis provides also new insights into cancer metastasis and cell sorting, suggesting, in particular, that collective invasion might result from an emerging coordination in a system where single cells are mechanically unable to invade.