Literature DB >> 22072186

The influence of receptor-mediated interactions on reaction-diffusion mechanisms of cellular self-organisation.

Václav Klika1, Ruth E Baker, Denis Headon, Eamonn A Gaffney.   

Abstract

Understanding the mechanisms governing and regulating self-organisation in the developing embryo is a key challenge that has puzzled and fascinated scientists for decades. Since its conception in 1952 the Turing model has been a paradigm for pattern formation, motivating numerous theoretical and experimental studies, though its verification at the molecular level in biological systems has remained elusive. In this work, we consider the influence of receptor-mediated dynamics within the framework of Turing models, showing how non-diffusing species impact the conditions for the emergence of self-organisation. We illustrate our results within the framework of hair follicle pre-patterning, showing how receptor interaction structures can be constrained by the requirement for patterning, without the need for detailed knowledge of the network dynamics. Finally, in the light of our results, we discuss the ability of such systems to pattern outside the classical limits of the Turing model, and the inherent dangers involved in model reduction.

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Year:  2011        PMID: 22072186     DOI: 10.1007/s11538-011-9699-4

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  20 in total

1.  Towards an integrated experimental-theoretical approach for assessing the mechanistic basis of hair and feather morphogenesis.

Authors:  K J Painter; G S Hunt; K L Wells; J A Johansson; D J Headon
Journal:  Interface Focus       Date:  2012-02-15       Impact factor: 3.906

2.  High-throughput mathematical analysis identifies Turing networks for patterning with equally diffusing signals.

Authors:  Luciano Marcon; Xavier Diego; James Sharpe; Patrick Müller
Journal:  Elife       Date:  2016-04-08       Impact factor: 8.140

3.  History dependence and the continuum approximation breakdown: the impact of domain growth on Turing's instability.

Authors:  Václav Klika; Eamonn A Gaffney
Journal:  Proc Math Phys Eng Sci       Date:  2017-03-15       Impact factor: 2.704

4.  Instability of turing patterns in reaction-diffusion-ODE systems.

Authors:  Anna Marciniak-Czochra; Grzegorz Karch; Kanako Suzuki
Journal:  J Math Biol       Date:  2016-06-15       Impact factor: 2.259

5.  A probabilistic Boolean model on hair follicle cell fate regulation by TGF-β.

Authors:  Katherine Dinh; Qixuan Wang
Journal:  Biophys J       Date:  2022-06-16       Impact factor: 3.699

6.  Pattern Formation in a Spatially Extended Model of Pacemaker Dynamics in Smooth Muscle Cells.

Authors:  H O Fatoyinbo; R G Brown; D J W Simpson; B van Brunt
Journal:  Bull Math Biol       Date:  2022-07-08       Impact factor: 3.871

7.  Direct reprogramming of human fibroblasts into sweat gland-like cells.

Authors:  Zhiliang Zhao; Mengyao Xu; Meng Wu; Kui Ma; Mengli Sun; Xiaocheng Tian; Cuiping Zhang; Xiaobing Fu
Journal:  Cell Cycle       Date:  2015       Impact factor: 4.534

Review 8.  Modelling from the experimental developmental biologists viewpoint.

Authors:  Andrew D Economou; Jeremy B A Green
Journal:  Semin Cell Dev Biol       Date:  2014-07-12       Impact factor: 7.727

9.  Isolating Patterns in Open Reaction-Diffusion Systems.

Authors:  Andrew L Krause; Václav Klika; Philip K Maini; Denis Headon; Eamonn A Gaffney
Journal:  Bull Math Biol       Date:  2021-06-04       Impact factor: 1.758

10.  Sharpening of expression domains induced by transcription and microRNA regulation within a spatio-temporal model of mid-hindbrain boundary formation.

Authors:  Sabrina Hock; Yen-Kar Ng; Jan Hasenauer; Dominik Wittmann; Dominik Lutter; Dietrich Trümbach; Wolfgang Wurst; Nilima Prakash; Fabian J Theis
Journal:  BMC Syst Biol       Date:  2013-06-25
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