Mitigating Winner-Take-All Resource Competition through Antithetic Control Mechanism

Competition among genes for limited transcriptional and translational resources impairs the functionality and modularity of synthetic gene circuits. Traditional control mechanisms, such as feedforward and negative feedback loops, have been proposed to alleviate these challenges, but they often focus on individual modules or inadvertently increase the burden on the system. In this study, we introduce three novel multimodule control strategies─local regulation, global regulation, and negatively competitive regulation (NCR)─that employ an antithetic regulatory mechanism to mitigate resource competition. Our systematic analysis reveals that while all three control mechanisms can alleviate resource competition to some extent, the NCR controller consistently outperforms both the global and local controllers. This superior performance stems from the unique architecture of the NCR controller, which is independent of specific parameter choices. Notably, the NCR controller not only facilitates the activation of less active modules through cross-activation mechanisms but also effectively utilizes the resource consumption within the controller itself. These findings emphasize the critical role of carefully designing the topology of multimodule controllers to ensure robust performance.

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Institutions

Publication Details

Journal
ACS Synthetic Biology
Published
2024-12-06
DOI
https://doi.org/10.1021/acssynbio.4c00476
Citations
6
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
1.97

Funders

Controls
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article

Mitigating Winner-Take-All Resource Competition through Antithetic Control Mechanism

Xiao‐Jun Tian, Suchana Chakravarty, Rong Zhang, Rishabh Guttal
6 citations
ACS Synthetic Biology
Advanced Control Systems Optimization
1.97
article

Mitigating Winner-Take-All Resource Competition through Antithetic Control Mechanism

Xiao‐Jun Tian, Suchana Chakravarty, Rong Zhang, Rishabh Guttal
article en
6 citations

Abstract

Competition among genes for limited transcriptional and translational resources impairs the functionality and modularity of synthetic gene circuits. Traditional control mechanisms, such as feedforward and negative feedback loops, have been proposed to alleviate these challenges, but they often focus on individual modules or inadvertently increase the burden on the system. In this study, we introduce three novel multimodule control strategies─local regulation, global regulation, and negatively competitive regulation (NCR)─that employ an antithetic regulatory mechanism to mitigate resource competition. Our systematic analysis reveals that while all three control mechanisms can alleviate resource competition to some extent, the NCR controller consistently outperforms both the global and local controllers. This superior performance stems from the unique architecture of the NCR controller, which is independent of specific parameter choices. Notably, the NCR controller not only facilitates the activation of less active modules through cross-activation mechanisms but also effectively utilizes the resource consumption within the controller itself. These findings emphasize the critical role of carefully designing the topology of multimodule controllers to ensure robust performance.

ACS Synthetic BiologyVol. 13(12)
Arizona State University (US)
National Institutes of Health, National Institute of General Medical Sciences
Openalex Percentile: Top 13%
Advanced Control Systems Optimization
1.97
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Mitigating Winner-Take-All Resource Competition through Antithetic Control Mechanism — Xiao‐Jun Tian, Suchana Chakravarty, et al. · ACS Synthetic Biology (2024) | TGRS Research Map | TGRS