Turing pattern design principles and their robustness
| Autor: | David Schnoerr, Thomas Leyshon, Michael P. H. Stumpf, Sean T. Vittadello |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Cognitive science
design principles Computer science General Mathematics Perspective (graphical) General Engineering General Physics and Astronomy Design elements and principles Context (language use) Articles Models Biological positional information Synthetic biology pattern formation Turing patterns Biological significance Morphogenesis Synthetic Biology Robustness (economics) Review Articles Turing computer computer.programming_language |
| Zdroj: | Philosophical transactions. Series A, Mathematical, physical, and engineering sciences |
| ISSN: | 1471-2962 1364-503X |
| DOI: | 10.1098/rsta.2020.0272 |
| Popis: | 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: | OpenAIRE |
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