Turing pattern design principles and their robustness.

Autor:	Vittadello ST; School of BioSciences, University of Melbourne, Melbourne, Victoria 3010, Australia., Leyshon T; Department of Life Sciences, Imperial College London, London, UK., Schnoerr D; Department of Life Sciences, Imperial College London, London, UK., Stumpf MPH; School of BioSciences, University of Melbourne, Melbourne, Victoria 3010, Australia.; School of Mathematics and Statistics, University of Melbourne, Melbourne, Victoria 3010, Australia.
Jazyk:	angličtina
Zdroj:	Philosophical transactions. Series A, Mathematical, physical, and engineering sciences [Philos Trans A Math Phys Eng Sci] 2021 Dec 27; Vol. 379 (2213), pp. 20200272. Date of Electronic Publication: 2021 Nov 08.
DOI:	10.1098/rsta.2020.0272
Abstrakt:	Turing patterns have morphed from mathematical curiosities into highly desirable targets for synthetic biology. For a long time, their biological significance was sometimes disputed but there is now ample evidence for their involvement in processes ranging from skin pigmentation to digit and limb formation. While their role in developmental biology is now firmly established, their synthetic design has so far proved challenging. Here, we review recent large-scale mathematical analyses that have attempted to narrow down potential design principles. We consider different aspects of robustness of these models and outline why this perspective will be helpful in the search for synthetic Turing-patterning systems. We conclude by considering robustness in the context of developmental modelling more generally. This article is part of the theme issue 'Recent progress and open frontiers in Turing's theory of morphogenesis'.
Databáze:	MEDLINE
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