-
- Sean T. Vittadello
- School of BioSciences, University of Melbourne, Melbourne, Victoria 3010, Australia
-
- Thomas Leyshon
- Department of Life Sciences, Imperial College London, London, UK
-
- David Schnoerr
- Department of Life Sciences, Imperial College London, London, UK
-
- Michael P. H. Stumpf
- School of BioSciences, University of Melbourne, Melbourne, Victoria 3010, Australia
この論文をさがす
説明
<jats:p>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.</jats:p> <jats:p>This article is part of the theme issue ‘Recent progress and open frontiers in Turing’s theory of morphogenesis’.</jats:p>
収録刊行物
-
- Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
-
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 379 (2213), 20200272-, 2021-11-08
The Royal Society