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Using Synthetic Biology to Engineer Spatial Patterns
Author(s) -
SantosMoreno Javier,
Schaerli Yolanda
Publication year - 2019
Publication title -
advanced biosystems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.153
H-Index - 18
ISSN - 2366-7478
DOI - 10.1002/adbi.201800280
Subject(s) - synthetic biology , multicellular organism , multidisciplinary approach , biology , process (computing) , field (mathematics) , population , data science , computer science , computational biology , mathematics , genetics , demography , social science , sociology , pure mathematics , gene , operating system
Synthetic biology has emerged as a multidisciplinary field that provides new tools and approaches to address longstanding problems in biology. It integrates knowledge from biology, engineering, mathematics, and biophysics to build—rather than to simply observe and perturb—biological systems that emulate natural counterparts or display novel properties. The interface between synthetic and developmental biology has greatly benefitted both fields and allowed to address questions that would remain challenging with classical approaches due to the intrinsic complexity and essentiality of developmental processes. This Progress Report provides an overview of how synthetic biology can help to understand a process that is crucial for the development of multicellular organisms: pattern formation. It reviews the major mechanisms of genetically encoded synthetic systems that have been engineered to establish spatial patterns at the population level. Limitations, challenges, applications, and potential opportunities of synthetic pattern formation are also discussed.

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