Using Synthetic Biology to Engineer Spatial Patterns.

Détails

Ressource 1Télécharger: Santos-Moreno & Schaerli2018.pdf (1150.04 [Ko])
Etat: Public
Version: Author's accepted manuscript
Licence: Non spécifiée
ID Serval
serval:BIB_90894E74453C
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Synthèse (review): revue aussi complète que possible des connaissances sur un sujet, rédigée à partir de l'analyse exhaustive des travaux publiés.
Collection
Publications
Institution
Titre
Using Synthetic Biology to Engineer Spatial Patterns.
Périodique
Advanced biosystems
Auteur⸱e⸱s
Santos-Moreno J., Schaerli Y.
ISSN
2366-7478 (Print)
ISSN-L
2366-7478
Statut éditorial
Publié
Date de publication
04/2019
Peer-reviewed
Oui
Volume
3
Numéro
4
Pages
e1800280
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't ; Review
Publication Status: ppublish
Résumé
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.
Mots-clé
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
Oui
Financement(s)
Fonds national suisse / 31003A_175608
Création de la notice
12/01/2019 15:04
Dernière modification de la notice
21/11/2022 8:07
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