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]
Programming Languages for Biological Modeling and Simulation [BioComputing]
Lhoussaine, Cedric [Auteur]
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 ...
Show more >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

Popular science :

Non

ANR Project :

Des modèles de population aux populations de modèles: observation, modélisation et contrôle de l'expression génique au niveau de la cellule unique

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL