Controlling spatiotemporal pattern formation in a concentration gradient with a synthetic toggle switch.
Détails
Télécharger: Barbier2020.pdf (4627.74 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY 4.0
Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_35C2422DBA31
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Controlling spatiotemporal pattern formation in a concentration gradient with a synthetic toggle switch.
Périodique
Molecular systems biology
ISSN
1744-4292 (Electronic)
ISSN-L
1744-4292
Statut éditorial
Publié
Date de publication
06/2020
Peer-reviewed
Oui
Volume
16
Numéro
6
Pages
e9361
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Publication Status: ppublish
Résumé
The formation of spatiotemporal patterns of gene expression is frequently guided by gradients of diffusible signaling molecules. The toggle switch subnetwork, composed of two cross-repressing transcription factors, is a common component of gene regulatory networks in charge of patterning, converting the continuous information provided by the gradient into discrete abutting stripes of gene expression. We present a synthetic biology framework to understand and characterize the spatiotemporal patterning properties of the toggle switch. To this end, we built a synthetic toggle switch controllable by diffusible molecules in Escherichia coli. We analyzed the patterning capabilities of the circuit by combining quantitative measurements with a mathematical reconstruction of the underlying dynamical system. The toggle switch can produce robust patterns with sharp boundaries, governed by bistability and hysteresis. We further demonstrate how the hysteresis, position, timing, and precision of the boundary can be controlled, highlighting the dynamical flexibility of the circuit.
Mots-clé
Escherichia coli/drug effects, Escherichia coli/genetics, Gene Expression Regulation, Bacterial/drug effects, Gene Regulatory Networks/drug effects, Isopropyl Thiogalactoside/pharmacology, Models, Theoretical, Probability, Synthetic Biology, Time Factors, bistability, dynamical systems, gene regulatory networks, pattern formation, synthetic biology
Pubmed
Web of science
Open Access
Oui
Financement(s)
Fonds national suisse / 31003A_175608
Création de la notice
12/06/2020 16:11
Dernière modification de la notice
21/11/2022 8:16