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Plug-and-Play Multicellular Circuits with Time-Dependent Dynamic Responses.
- Source :
-
ACS synthetic biology [ACS Synth Biol] 2018 Apr 20; Vol. 7 (4), pp. 1095-1104. Date of Electronic Publication: 2018 Apr 02. - Publication Year :
- 2018
-
Abstract
- Synthetic biology studies aim to develop cellular devices for biomedical applications. These devices, based on living instead of electronic or electromechanic technology, might provide alternative treatments for a wide range of diseases. However, the feasibility of these devices depends, in many cases, on complex genetic circuits that must fulfill physiological requirements. In this work, we explored the potential of multicellular architectures to act as an alternative to complex circuits for implementation of new devices. As a proof of concept, we developed specific circuits for insulin or glucagon production in response to different glucose levels. Here, we show that fundamental features, such as circuit's affinity or sensitivity, are dependent on the specific configuration of the multicellular consortia, providing a method for tuning these properties without genetic engineering. As an example, we have designed and built circuits with an incoherent feed-forward loop architecture (FFL) that can be easily adjusted to generate single pulse responses. Our results might serve as a blueprint for future development of cellular devices for glycemia regulation in diabetic patients.
- Subjects :
- Cell Communication
Feedback, Physiological
Gene Regulatory Networks
Glucagon genetics
Glucagon metabolism
Glucose Transport Proteins, Facilitative genetics
Glucose Transport Proteins, Facilitative metabolism
Green Fluorescent Proteins genetics
Green Fluorescent Proteins metabolism
Insulin genetics
Mating Factor genetics
Mating Factor metabolism
Microorganisms, Genetically-Modified
Monosaccharide Transport Proteins genetics
Promoter Regions, Genetic
Saccharomyces cerevisiae cytology
Saccharomyces cerevisiae metabolism
Saccharomyces cerevisiae Proteins genetics
Saccharomyces cerevisiae Proteins metabolism
Signal Transduction
Time Factors
Glucose metabolism
Insulin metabolism
Saccharomyces cerevisiae genetics
Synthetic Biology methods
Subjects
Details
- Language :
- English
- ISSN :
- 2161-5063
- Volume :
- 7
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- ACS synthetic biology
- Publication Type :
- Academic Journal
- Accession number :
- 29584406
- Full Text :
- https://doi.org/10.1021/acssynbio.7b00463