Journal
NATURE COMMUNICATIONS
Volume 8, Issue -, Pages -Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/s41467-017-01683-1
Keywords
-
Categories
Funding
- People Programme (Marie Curie Actions) of the European Union's Seventh Framework Programme under REA [291734]
- Austrian Science Fund [FWF P28844]
- internal IST Austria Interdisciplinary Project
- Agence Nationale de la Recherche (ANR) [ANR-16-CE33-0018, ANR-16-CE12-0025, ANR-10-BINF-06-01]
- Agence Nationale de la Recherche (ANR) [ANR-16-CE33-0018, ANR-16-CE12-0025] Funding Source: Agence Nationale de la Recherche (ANR)
- Austrian Science Fund (FWF) [P28844] Funding Source: Austrian Science Fund (FWF)
Ask authors/readers for more resources
Bacteria in groups vary individually, and interact with other bacteria and the environment to produce population-level patterns of gene expression. Investigating such behavior in detail requires measuring and controlling populations at the single-cell level alongside precisely specified interactions and environmental characteristics. Here we present an automated, programmable platform that combines image-based gene expression and growth measurements with on-line optogenetic expression control for hundreds of individual Escherichia coli cells over days, in a dynamically adjustable environment. This integrated platform broadly enables experiments that bridge individual and population behaviors. We demonstrate: (i) population structuring by independent closed-loop control of gene expression in many individual cells, (ii) cell-cell variation control during antibiotic perturbation, (iii) hybrid bio-digital circuits in single cells, and freely specifiable digital communication between individual bacteria. These examples showcase the potential for real-time integration of theoretical models with measurement and control of many individual cells to investigate and engineer microbial population behavior.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available