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Architectures for Combined Transcriptional and Translational Resource Allocation Controllers.
- Source :
-
Cell systems [Cell Syst] 2020 Oct 21; Vol. 11 (4), pp. 382-392.e9. Date of Electronic Publication: 2020 Sep 15. - Publication Year :
- 2020
-
Abstract
- Recent work on engineering synthetic cellular circuitry has shown that non-regulatory interactions mediated by competition for gene expression resources can result in degraded performance or even failure. Transcriptional and translational resource allocation controllers based on orthogonal circuit-specific gene expression machinery have separately been shown to improve modularity and circuit performance. Here, we investigate the potential advantages, challenges, and design trade-offs involved in combining transcriptional and translational controllers into a "dual resource allocation control system." We show that separately functional, translational, and transcriptional controllers cannot generally be combined without extensive redesign. We analyze candidate architectures for direct design of dual resource allocation controllers and propose modifications to improve their performance (in terms of decoupling and expression level) and robustness. We show that dual controllers can be built that are composed only of orthogonal gene expression resources and demonstrate that such designs offer both superior performance and robustness characteristics.<br />Competing Interests: Declaration of Interests The authors declare no competing interests.<br /> (Copyright © 2020 Elsevier Inc. All rights reserved.)
- Subjects :
- Algorithms
Feedback, Physiological
Gene Expression physiology
Gene Regulatory Networks genetics
Gene Regulatory Networks physiology
Models, Theoretical
Protein Processing, Post-Translational
Proteomics methods
Synthetic Biology
Gene Expression Regulation physiology
Protein Biosynthesis physiology
Transcription, Genetic physiology
Subjects
Details
- Language :
- English
- ISSN :
- 2405-4720
- Volume :
- 11
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Cell systems
- Publication Type :
- Academic Journal
- Accession number :
- 32937113
- Full Text :
- https://doi.org/10.1016/j.cels.2020.08.014