Engineering Tunable, Low Latency Spatial Computation with Dual Input Quorum Sensing Promoters.

engineering intercellular signaling genetic circuits mathematical modeling spatial synthetic biology

Journal

ACS synthetic biology
ISSN: 2161-5063
Titre abrégé: ACS Synth Biol
Pays: United States
ID NLM: 101575075

Informations de publication

Date de publication:
23 May 2024
Historique:
medline: 23 5 2024
pubmed: 23 5 2024
entrez: 23 5 2024
Statut: aheadofprint

Résumé

Quorum sensing signals have evolved for population-level signaling in bacterial communities and are versatile tools for engineering cell-cell signaling in synthetic biology projects. Here, we characterize the spatial diffusion of a palette of quorum sensing signals and find that their diffusion in agar can be predicted from their molecular weight with a simple power law. We also engineer novel dual- and multi-input promoters that respond to quorum-sensing diffusive signals for use in engineered genetic systems. We engineer a promoter scaffold that can be adapted for activation and repression by multiple diffusers simultaneously. Lastly, we combine the knowledge on diffusion dynamics with the novel genetic components to build a new generation of spatial, stripe-forming systems with a simplified design, improved robustness, tuneability, and response time.

Identifiants

pubmed: 38781598
doi: 10.1021/acssynbio.4c00068
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Jure Tica (J)

Department of Life Sciences, Imperial College London, London SW7 2AZ, U.K.

Haobin Chen (H)

Department of Life Sciences, Imperial College London, London SW7 2AZ, U.K.

Shulei Luo (S)

Department of Life Sciences, Imperial College London, London SW7 2AZ, U.K.

Manman Chen (M)

Department of Life Sciences, Imperial College London, London SW7 2AZ, U.K.

Mark Isalan (M)

Department of Life Sciences, Imperial College London, London SW7 2AZ, U.K.
Imperial College Centre for Synthetic Biology, Imperial College London, London SW7 2AZ, U.K.

Classifications MeSH