Using Synthetic Biology to Engineer Spatial Patterns.

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Ressource 1Download: Santos-Moreno & Schaerli2018.pdf (1150.04 [Ko])
State: Public
Version: Author's accepted manuscript
License: Not specified
Serval ID
serval:BIB_90894E74453C
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Using Synthetic Biology to Engineer Spatial Patterns.
Journal
Advanced biosystems
Author(s)
Santos-Moreno J., Schaerli Y.
ISSN
2366-7478 (Print)
ISSN-L
2366-7478
Publication state
Published
Issued date
04/2019
Peer-reviewed
Oui
Volume
3
Number
4
Pages
e1800280
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't ; Review
Publication Status: ppublish
Abstract
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.
Keywords
Biomechanical Phenomena, Cell-Free System, Escherichia coli, HEK293 Cells, Humans, Models, Biological, Synthetic Biology, bottom-up approach, developmental biology, pattern formation, spatial patterns, synthetic biology
Pubmed
Web of science
Open Access
Yes
Funding(s)
Swiss National Science Foundation / 31003A_175608
Create date
12/01/2019 15:04
Last modification date
29/09/2020 5:25
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