Literature DB >> 22649582

The effect of the signalling scheme on the robustness of pattern formation in development.

Hye-Won Kang1, Likun Zheng, Hans G Othmer.   

Abstract

Pattern formation in development is a complex process which involves spatially distributed signals called morphogens that influence gene expression and thus the phenotypic identity of cells. Usually different cell types are spatially segregated, and the boundary between them may be determined by a threshold value of some state variable. The question arises as to how sensitive the location of such a boundary is to variations in properties, such as parameter values, that characterize the system. Here, we analyse both deterministic and stochastic reaction-diffusion models of pattern formation with a view towards understanding how the signalling scheme used for patterning affects the variability of boundary determination between cell types in a developing tissue.

Keywords:  pattern formation; robustness; stochastic models

Year:  2012        PMID: 22649582      PMCID: PMC3363034          DOI: 10.1098/rsfs.2011.0116

Source DB:  PubMed          Journal:  Interface Focus        ISSN: 2042-8898            Impact factor:   3.906


  38 in total

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Authors:  E V Entchev; A Schwabedissen; M González-Gaitán
Journal:  Cell       Date:  2000-12-08       Impact factor: 41.582

2.  Shaping a morphogen gradient for positional precision.

Authors:  Feng He; Timothy E Saunders; Ying Wen; David Cheung; Renjie Jiao; Pieter Rein ten Wolde; Martin Howard; Jun Ma
Journal:  Biophys J       Date:  2010-08-04       Impact factor: 4.033

3.  Product-form stationary distributions for deficiency zero chemical reaction networks.

Authors:  David F Anderson; Gheorghe Craciun; Thomas G Kurtz
Journal:  Bull Math Biol       Date:  2010-03-20       Impact factor: 1.758

4.  Kinetics of morphogen gradient formation.

Authors:  Anna Kicheva; Periklis Pantazis; Tobias Bollenbach; Yannis Kalaidzidis; Thomas Bittig; Frank Jülicher; Marcos González-Gaitán
Journal:  Science       Date:  2007-01-26       Impact factor: 47.728

5.  Probing the limits to positional information.

Authors:  Thomas Gregor; David W Tank; Eric F Wieschaus; William Bialek
Journal:  Cell       Date:  2007-07-13       Impact factor: 41.582

6.  A theory of biological pattern formation.

Authors:  A Gierer; H Meinhardt
Journal:  Kybernetik       Date:  1972-12

7.  Precision and scaling in morphogen gradient read-out.

Authors:  Aitana Morton de Lachapelle; Sven Bergmann
Journal:  Mol Syst Biol       Date:  2010-03-09       Impact factor: 11.429

8.  Synergy between the hunchback and bicoid morphogens is required for anterior patterning in Drosophila.

Authors:  M Simpson-Brose; J Treisman; C Desplan
Journal:  Cell       Date:  1994-09-09       Impact factor: 41.582

9.  A positive feedback loop coordinates growth and patterning in the vertebrate limb.

Authors:  L Niswander; S Jeffrey; G R Martin; C Tickle
Journal:  Nature       Date:  1994-10-13       Impact factor: 49.962

10.  Formation of the bicoid morphogen gradient: an mRNA gradient dictates the protein gradient.

Authors:  Alexander Spirov; Khalid Fahmy; Martina Schneider; Erich Frei; Markus Noll; Stefan Baumgartner
Journal:  Development       Date:  2009-02       Impact factor: 6.868

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  9 in total

Review 1.  Mechanisms of scaling in pattern formation.

Authors:  David M Umulis; Hans G Othmer
Journal:  Development       Date:  2013-12       Impact factor: 6.868

2.  External noise control in inherently stochastic biological systems.

Authors:  Likun Zheng; Meng Chen; Qing Nie
Journal:  J Math Phys       Date:  2012-11-05       Impact factor: 1.488

3.  Single-cell resolution of intracellular T cell Ca2+ dynamics in response to frequency-based H2O2 stimulation.

Authors:  Ariel S Kniss-James; Catherine A Rivet; Loice Chingozha; Hang Lu; Melissa L Kemp
Journal:  Integr Biol (Camb)       Date:  2017-02-06       Impact factor: 2.192

Review 4.  Patterning, From Conifers to Consciousness: Turing's Theory and Order From Fluctuations.

Authors:  Thurston C Lacalli
Journal:  Front Cell Dev Biol       Date:  2022-05-03

5.  Stochastic analysis of reaction-diffusion processes.

Authors:  Jifeng Hu; Hye-Won Kang; Hans G Othmer
Journal:  Bull Math Biol       Date:  2013-05-30       Impact factor: 1.758

6.  The role of mathematical models in understanding pattern formation in developmental biology.

Authors:  David M Umulis; Hans G Othmer
Journal:  Bull Math Biol       Date:  2014-10-04       Impact factor: 1.758

7.  Local homeoprotein diffusion can stabilize boundaries generated by graded positional cues.

Authors:  Cristóbal Quiñinao; Alain Prochiantz; Jonathan Touboul
Journal:  Development       Date:  2015-05-15       Impact factor: 6.868

8.  Multiscale Stochastic Reaction-Diffusion Algorithms Combining Markov Chain Models with Stochastic Partial Differential Equations.

Authors:  Hye-Won Kang; Radek Erban
Journal:  Bull Math Biol       Date:  2019-06-04       Impact factor: 1.758

9.  Size matters: tissue size as a marker for a transition between reaction-diffusion regimes in spatio-temporal distribution of morphogens.

Authors:  Alberto S Ceccarelli; Augusto Borges; Osvaldo Chara
Journal:  R Soc Open Sci       Date:  2022-01-26       Impact factor: 2.963

  9 in total

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