Literature DB >> 18689831

Logical modelling of the role of the Hh pathway in the patterning of the Drosophila wing disc.

Aitor González1, Claudine Chaouiya, Denis Thieffry.   

Abstract

MOTIVATIONS: The development of most tissues and organs relies on a limited number of signal transduction pathways enabling the coordination of cellular differentiation. A proper understanding of the roles of signal transduction pathways requires the definition of formal models capturing the main qualitative features of these patterning processes. This is a challenging task because the underlying processes, diffusion, regulatory modifications, reception and sequestration of signalling molecules, transcriptional regulation of target genes, etc. are only partly characterized. In this context, qualitative models can be more readily proposed on the basis of available (molecular) genetic data. But this requires novel computational tools and proper qualitative representations of phenomena such as diffusion or sequestration. To assess the power and limits of a logical formalism in this context, we propose a multi-level model of the multi-cellular network involved in the definition of the anterior-posterior boundary during the development of the wing disc of Drosophila melanogaster. The morphogen Hedgehog (Hh) is the inter-cellular signal coordinating this process. It diffuses from the posterior compartment of the disc to activate its pathway in cells immediately anterior to the boundary. In these boundary cells, the Hh gradient induces target genes in distinct domains as a function of the Hh concentration. One target of Hh signalling is the gene coding for the receptor Patched (Ptc), which sequesters Hh and impedes further diffusion, thereby refining the boundary.
RESULTS: We have delineated a logical model of the patterning process defining the cellular anterior-posterior boundary in the developing imaginal disc of Drosophila melanogaster. This model qualitatively accounts for the formation of a gradient of Hh, as well as for the transduction of this signal through a balance between the activatory (CiA) and inhibitory (CiR) products of the gene cubitus interruptus (ci). Wild-type and mutant simulations have been carried out to assess the coherence of the model with experimental data. Interestingly, our computational analysis provides novel insights into poorly understood processes such as the regulation of Ptc by CiR, the formation of a functional gradient of CiA across boundary cells, or yet functional En differences between anterior and posterior cells. In conclusion, our model analysis demonstrates the flexibility of the logical formalism, enabling consistent qualitative representation of diffusion, sequestration and post-transcriptional regulatory processes within and between neighbouring cells. AVAILABILITY: An XML.le containing the proposed model together with annotations can be downloaded from our website (http://gin.univ-mrs.fr/GINsim/), along with GINsim, a logical modelling and simulation software freely available to academic groups.

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Year:  2008        PMID: 18689831     DOI: 10.1093/bioinformatics/btn266

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  12 in total

1.  ASP-G: an ASP-based method for finding attractors in genetic regulatory networks.

Authors:  Mushthofa Mushthofa; Gustavo Torres; Yves Van de Peer; Kathleen Marchal; Martine De Cock
Journal:  Bioinformatics       Date:  2014-07-15       Impact factor: 6.937

2.  ASP-based method for the enumeration of attractors in non-deterministic synchronous and asynchronous multi-valued networks.

Authors:  Emna Ben Abdallah; Maxime Folschette; Olivier Roux; Morgan Magnin
Journal:  Algorithms Mol Biol       Date:  2017-08-15       Impact factor: 1.405

3.  Dynamic interpretation of hedgehog signaling in the Drosophila wing disc.

Authors:  Marcos Nahmad; Angelike Stathopoulos
Journal:  PLoS Biol       Date:  2009-09-29       Impact factor: 8.029

4.  Single-cell and coupled GRN models of cell patterning in the Arabidopsis thaliana root stem cell niche.

Authors:  Eugenio Azpeitia; Mariana Benítez; Iliusi Vega; Carlos Villarreal; Elena R Alvarez-Buylla
Journal:  BMC Syst Biol       Date:  2010-10-05

Review 5.  Logical Modeling and Dynamical Analysis of Cellular Networks.

Authors:  Wassim Abou-Jaoudé; Pauline Traynard; Pedro T Monteiro; Julio Saez-Rodriguez; Tomáš Helikar; Denis Thieffry; Claudine Chaouiya
Journal:  Front Genet       Date:  2016-05-31       Impact factor: 4.599

6.  Qualitative Dynamical Modelling Can Formally Explain Mesoderm Specification and Predict Novel Developmental Phenotypes.

Authors:  Abibatou Mbodj; E Hilary Gustafson; Lucia Ciglar; Guillaume Junion; Aitor Gonzalez; Charles Girardot; Laurent Perrin; Eileen E M Furlong; Denis Thieffry
Journal:  PLoS Comput Biol       Date:  2016-09-06       Impact factor: 4.475

7.  Logic Modeling in Quantitative Systems Pharmacology.

Authors:  Pauline Traynard; Luis Tobalina; Federica Eduati; Laurence Calzone; Julio Saez-Rodriguez
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2017-07-29

8.  Logical Modeling and Analysis of Cellular Regulatory Networks With GINsim 3.0.

Authors:  Aurélien Naldi; Céline Hernandez; Wassim Abou-Jaoudé; Pedro T Monteiro; Claudine Chaouiya; Denis Thieffry
Journal:  Front Physiol       Date:  2018-06-19       Impact factor: 4.566

9.  CellNOptR: a flexible toolkit to train protein signaling networks to data using multiple logic formalisms.

Authors:  Camille Terfve; Thomas Cokelaer; David Henriques; Aidan MacNamara; Emanuel Goncalves; Melody K Morris; Martijn van Iersel; Douglas A Lauffenburger; Julio Saez-Rodriguez
Journal:  BMC Syst Biol       Date:  2012-10-18

10.  SBML qualitative models: a model representation format and infrastructure to foster interactions between qualitative modelling formalisms and tools.

Authors:  Claudine Chaouiya; Duncan Bérenguier; Sarah M Keating; Aurélien Naldi; Martijn P van Iersel; Nicolas Rodriguez; Andreas Dräger; Finja Büchel; Thomas Cokelaer; Bryan Kowal; Benjamin Wicks; Emanuel Gonçalves; Julien Dorier; Michel Page; Pedro T Monteiro; Axel von Kamp; Ioannis Xenarios; Hidde de Jong; Michael Hucka; Steffen Klamt; Denis Thieffry; Nicolas Le Novère; Julio Saez-Rodriguez; Tomáš Helikar
Journal:  BMC Syst Biol       Date:  2013-12-10
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