In Vivo Feedback Control of an Antithetic Molecular-Titration Motif in Escherichia coli Using Microfluidics
Authors/Creators
- 1. DNA-Protein Interactions Unit, School of Biochemistry, University of Bristol, Bristol BS8 1TD, U.K. - BrisSynBio, Life Sciences Building, Tyndall Avenue, Bristol BS8 1TQ, U.K.
- 2. Department of Engineering Mathematics, University of Bristol, Bristol BS8 1UB, U.K. - BrisSynBio, Life Sciences Building, Tyndall Avenue, Bristol BS8 1TQ, U.K.
- 3. Department of Engineering Mathematics, University of Bristol, Bristol BS8 1UB, U.K.
- 4. Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy
- 5. School of Biological Sciences, University of Bristol, Bristol BS8 1UH, U.K. - BrisSynBio, Life Sciences Building, Tyndall Avenue, Bristol BS8 1TQ, U.K.
- 6. Department of Engineering Mathematics, University of Bristol, Bristol BS8 1UB, U.K. - Department of Electrical Engineering and Information Technology, University of Naples Federico II, 80125 Naples, Italy - BrisSynBio, Life Sciences Building, Tyndall Avenue, Bristol BS8 1TQ, U.K.
Description
Abstract
We study both in silico and in vivo the real-time feedback control of a molecular titration motif that has been earmarked as a fundamental component of antithetic and multicellular feedback control schemes in E. coli. We show that an external feedback control strategy can successfully regulate the average fluorescence output of a bacterial cell population to a desired constant level in real-time. We also provide in silico evidence that the same strategy can be used to track a time-varying reference signal where the set-point is switched to a different value halfway through the experiment. We use the experimental data to refine and parametrize an in silico model of the motif that can be used as an error computation module in future embedded or multicellular control experiments.
Files
Shannon et al 2020 ACS .pdf
Files
(708.8 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:9aef46d7a30024b78a4204353b04687f
|
708.8 kB | Preview Download |