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Self-organized patterning by diffusible ...
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Document type :
Article dans une revue scientifique
DOI :
10.3233/FI-2012-723
Title :
Self-organized patterning by diffusible factors: roles of a community effect
Author(s) :
Batmanov, Kirill [Auteur correspondant]
Programming Languages for Biological Modeling and Simulation [BioComputing]
Kuttler, Celine [Auteur] refId
Programming Languages for Biological Modeling and Simulation [BioComputing]
Lhoussaine, Cedric [Auteur] refId
Programming Languages for Biological Modeling and Simulation [BioComputing]
Saka, Yasushi [Auteur]
Journal title :
Fundamenta Informaticae
Pages :
419-461
Publisher :
Polskie Towarzystwo Matematyczne
Publication date :
2012
ISSN :
0169-2968
HAL domain(s) :
Informatique [cs]/Bio-informatique [q-bio.QM]
Sciences du Vivant [q-bio]/Bio-Informatique, Biologie Systémique [q-bio.QM]
English abstract : [en]
For decades, scientists have sought to elucidate self-organized patterning in development. One of the key questions in animal development is how a group of cells of one type keeps its identity and differentiates co-ordinately ...
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For decades, scientists have sought to elucidate self-organized patterning in development. One of the key questions in animal development is how a group of cells of one type keeps its identity and differentiates co-ordinately while surrounded by others. It has been shown that in certain cases, cells interact with their neighbours by diffusible factors in order to establish and maintain a common identity. This developmental process is called a community effect. In this work, we examine the dynamics of a community effect in space and investigate its roles in two other processes of self-organized patterning by diffusible factors: Turing's reaction-diffusion systems and embryonic induction by morphogens. Our major results are the following. First, we show that, starting from a one-dimensional model with the simplest feedback loop, a community effect spreads in an unlimited manner. Second, this unrestricted expansion of a community effect can be avoided by additional negative feedback. In Turing's reaction-diffusion system with a built-in community effect, if induction is localized, sustained activation also remains localized. Third, when a simple cross-repression gene circuitry is combined with a community effect loop, the system self-organizes. A gene expression pattern with a well-demarcated boundary appears in response to a transient morphogen gradient. Surprisingly, even when the morphogen distribution eventually becomes uniform, the system can maintain the pattern. The regulatory network thus confers memory of morphogen dynamics.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
  • Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Source :
Harvested from HAL
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