Literature DB >> 9446747

Establishement of the dorso-ventral pattern during embryonic development of drosophila melanogasater: a logical analysis

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Abstract

This report focuses on dorso-ventral patterning in the segmented region of the Drosophila melanogaster embryo. According to the concept of positional information, this pattern results from the different response of cells to the Dorsal-protein morphogen. This protein shows a distribution gradient along the dorso-ventral axis, with the highest concentration on the ventral side. Using the generalized logical formalism developed by R. Thomas and co-workers, the different cellular responses were analysed in terms of the intracellular loops between the regulatory genes. Two positive loops were found to be involved, each constituting a switch which can be acted upon by the Dorsal morphogen to determine the different cell types that make up the embryonic dorso-ventral pattern. The novelty in this use of generalized logical formalism is the employment of a multilevel variable to represent a morphogen gradient. The proposed model accounts for the essential qualitative effects of the Dorsal gradient in the dorso-ventral determination process. Three main conclusions may be drawn. Firstly, the gene twist needs to have two functional threshold concentrations, one for autoactivation and the other for activation of the gene snail. Secondly, the autoactivation threshold must be smaller than that which activates snail. Thirdly, the action of the gene snail on the maintenance function of the gene twist is crucial for cells to be able to choose between the mesoderm or neuroectoderm developmental pathways. Furthermore, it is predicted that if the gene snail shows autoregulation, this will not be crucial for the determination of the embryonic D-V pattern. Copyright 1997 Academic Press Limited Copyright 1997 Academic Press Limited

Entities:  

Year:  1997        PMID: 9446747     DOI: 10.1006/jtbi.1997.0523

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  13 in total

1.  Quantitative analysis of binding motifs mediating diverse spatial readouts of the Dorsal gradient in the Drosophila embryo.

Authors:  Dmitri Papatsenko; Michael Levine
Journal:  Proc Natl Acad Sci U S A       Date:  2005-03-28       Impact factor: 11.205

Review 2.  Boolean network models of cellular regulation: prospects and limitations.

Authors:  Stefan Bornholdt
Journal:  J R Soc Interface       Date:  2008-08-06       Impact factor: 4.118

3.  Mathematical model reveals that heterogeneity in the number of ion transporters regulates the fraction of mouse sperm capacitation.

Authors:  Alejandro Aguado-García; Daniel A Priego-Espinosa; Andrés Aldana; Alberto Darszon; Gustavo Martínez-Mekler
Journal:  PLoS One       Date:  2021-11-18       Impact factor: 3.240

Review 4.  Quantitative and logic modelling of molecular and gene networks.

Authors:  Nicolas Le Novère
Journal:  Nat Rev Genet       Date:  2015-02-03       Impact factor: 53.242

5.  Discrete time piecewise affine models of genetic regulatory networks.

Authors:  R Coutinho; B Fernandez; R Lima; A Meyroneinc
Journal:  J Math Biol       Date:  2006-03-06       Impact factor: 2.164

6.  Applications of a formal approach to decipher discrete genetic networks.

Authors:  Fabien Corblin; Eric Fanchon; Laurent Trilling
Journal:  BMC Bioinformatics       Date:  2010-07-20       Impact factor: 3.169

7.  Dynamical modeling of the cholesterol regulatory pathway with Boolean networks.

Authors:  Gwenael Kervizic; Laurent Corcos
Journal:  BMC Syst Biol       Date:  2008-11-24

8.  Implementing arithmetic and other analytic operations by transcriptional regulation.

Authors:  Sean M Cory; Theodore J Perkins
Journal:  PLoS Comput Biol       Date:  2008-05-09       Impact factor: 4.475

9.  An Extended, Boolean Model of the Septation Initiation Network in S.Pombe Provides Insights into Its Regulation.

Authors:  Anastasia Chasapi; Paulina Wachowicz; Anne Niknejad; Philippe Collin; Andrea Krapp; Elena Cano; Viesturs Simanis; Ioannis Xenarios
Journal:  PLoS One       Date:  2015-08-05       Impact factor: 3.240

10.  CoGNaC: A Chaste Plugin for the Multiscale Simulation of Gene Regulatory Networks Driving the Spatial Dynamics of Tissues and Cancer.

Authors:  Simone Rubinacci; Alex Graudenzi; Giulio Caravagna; Giancarlo Mauri; James Osborne; Joe Pitt-Francis; Marco Antoniotti
Journal:  Cancer Inform       Date:  2015-09-01
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