NDLI: A Mathematical Model to Study the Dynamics of Epithelial Cellular Networks

Content Provider	ACM Digital Library
Author	Axelrod, Jeffrey D. Tomlin, Claire J. Dobbe, Roel Abate, Alessandro Silletti, Alberto Master, Neal Vincent, Stephane
Abstract	Epithelia are sheets of connected cells that are essential across the animal kingdom. Experimental observations suggest that the dynamical behavior of many single-layered epithelial tissues has strong analogies with that of specific mechanical systems, namely large networks consisting of point masses connected through spring-damper elements and undergoing the influence of active and dissipating forces. Based on this analogy, this work develops a modeling framework to enable the study of the mechanical properties and of the dynamic behavior of large epithelial cellular networks. The model is built first by creating a network topology that is extracted from the actual cellular geometry as obtained from experiments, then by associating a mechanical structure and dynamics to the network via spring-damper elements. This scalable approach enables running simulations of large network dynamics: the derived modeling framework in particular is predisposed to be tailored to study general dynamics (for example, morphogenesis) of various classes of single-layered epithelial cellular networks. In this contribution, we test the model on a case study of the dorsal epithelium of the Drosophila melanogaster embryo during early dorsal closure (and, less conspicuously, germband retraction).
Starting Page	1607
Ending Page	1620
Page Count	14
File Format	PDF
ISSN	15455963
DOI	10.1109/TCBB.2012.126
Volume Number	9
Issue Number	6
Journal	IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-11-01
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Cells (biology),Computational modeling,Finite element methods,Mechanical factors,Mathematical model,Elasticity,Biological system modeling,morphogenesis,Epithelium,cellular network,nonlinear dynamical model,spring-damper system,discrete element method,early dorsal closure
Content Type	Text
Resource Type	Article
Subject	Genetics Biotechnology Applied Mathematics

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