ArticleNPJ systems biology and applications2022
Restoring circadian gene profiles in clock networks using synthetic feedback control.
Article in NPJ systems biology and applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 8 citations in OpenAlex.
- Integrated circadian regulation in horticultural plants: light-environment mechanisms governing growth and development.Horticulture research · 2026Article
- Biochemical implementation of acceleration sensing and PIDA control.NPJ systems biology and applications · 2025Article
- Noise properties of adaptation-conferring biochemical control modules.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Regulation strategies for two-output biomolecular networks.Journal of the Royal Society, Interface · 2023Article
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Authors and funding
3 authors at 2 institutions in 1 country.
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Abstract
The circadian system-an organism's built-in biological clock-is responsible for orchestrating biological processes to adapt to diurnal and seasonal variations. Perturbations to the circadian system (e.g., pathogen attack, sudden environmental change) often result in pathophysiological responses (e.g., jetlag in humans, stunted growth in plants, etc.) In view of this, synthetic biologists are progressively adapting the idea of employing synthetic feedback control circuits to alleviate the effects of perturbations on circadian systems. To facilitate the design of such controllers, suitable models are required. Here, we extend our recently developed model for the plant circadian clock-termed the extended S-System model-to model circadian systems across different kingdoms of life. We then use this modeling strategy to develop a design framework, based on an antithetic integral feedback (AIF) controller, to restore a gene's circadian profile when it is subject to loss-of-function due to external perturbations. The use of the AIF controller is motivated by its recent successful experimental implementation. Our findings provide circadian biologists with a systematic and general modeling and design approach for implementing synthetic feedback control of circadian systems.
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