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Topology-based abstraction of complex biological systems: application to the Golgi apparatus
Authors:Mathieu Poudret  Agnès Arnould  Jean-Paul Comet  Pascale Le Gall  Philippe Meseure  François Képès
Affiliation:(1) XLIM-SIC UMR 6172 CNRS, Université de Poitiers, 86962 Futuroscope, France;(2) I3S UMR 6070 CNRS, Université de Nice-Sophia-Antipolis, 06903 Sophia-Antipolis, France;(3) MAS-école Centrale Paris, Grande Voie des Vignes, 92295 Chatenay-Malabry, France;(4) Programme d’épigénomique, Génopole, 91000 évry, France
Abstract:Many complex cellular processes involve major changes in topology and geometry. We have developed a method using topology-based geometric modelling in which the edge labels of an n-dimensional generalized map (a subclass of graphs) represent the relations between neighbouring biological compartments. We illustrate our method using two topological models of the Golgi apparatus. These models can be animated using transformation rules, which depend on geometric and/or biochemical data and which modify both these data and the topology. Both models constitute plausible topological representations of the Golgi apparatus, but only the model based on a recent hypothesis about the Golgi apparatus is fully compatible with data from electron microscopy. Finally, we outline how our method may help biologists to choose between different hypotheses.
Keywords:Topology-based geometric modelling  Biological processes modelling
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