Literature DB >> 12508238

Transitions in the model of epithelial patterning.

Michal Pribyl1, Cyrill B Muratov, Stanislav Y Shvartsman.   

Abstract

We analyze pattern formation in the model of cell communication in Drosophila egg development. The model describes the regulatory network formed by the epidermal growth factor receptor (EGFR) and its ligands. The network is activated by the oocyte-derived input that is modulated by feedback loops within the follicular epithelium. We analyze these dynamics within the framework of a recently proposed mathematical model of EGFR signaling (Shvartsman et al. [2002] Development 129:2577-2589). The emphasis is on the large-amplitude solutions of the model that can be correlated with the experimentally observed patterns of protein and gene expression. Our analysis of transitions between the major classes of patterns in the model can be used to interpret the experimentally observed phenotypic transitions in eggshell morphology in Drosophila melanogaster. The existence of complex patterns in the model can be used to account for complex eggshell morphologies in related fly species. Copyright 2002 Wiley-Liss, Inc.

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Year:  2003        PMID: 12508238     DOI: 10.1002/dvdy.10218

Source DB:  PubMed          Journal:  Dev Dyn        ISSN: 1058-8388            Impact factor:   3.780


  5 in total

1.  Feedback control of the EGFR signaling gradient: superposition of domain-splitting events in Drosophila oogenesis.

Authors:  Jeremiah J Zartman; Jitendra S Kanodia; Lily S Cheung; Stanislav Y Shvartsman
Journal:  Development       Date:  2009-07-29       Impact factor: 6.868

2.  Gene regulation during Drosophila eggshell patterning.

Authors:  George Pyrowolakis; Ville Veikkolainen; Nir Yakoby; Stanislav Y Shvartsman
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-06       Impact factor: 11.205

3.  Modeling the evolution of gene regulatory networks for spatial patterning in embryo development.

Authors:  Alexander V Spirov; David M Holloway
Journal:  Procedia Comput Sci       Date:  2013

4.  Propagation of kinetic uncertainties through a canonical topology of the TLR4 signaling network in different regions of biochemical reaction space.

Authors:  Jayson Gutiérrez; Georges St Laurent; Silvio Urcuqui-Inchima
Journal:  Theor Biol Med Model       Date:  2010-03-15       Impact factor: 2.432

5.  Predicting phenotypic diversity and the underlying quantitative molecular transitions.

Authors:  Claudiu A Giurumescu; Paul W Sternberg; Anand R Asthagiri
Journal:  PLoS Comput Biol       Date:  2009-04-10       Impact factor: 4.475

  5 in total

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