NDLI: On the role of ultrasensitivity in biomolecular control systems

Content Provider	IEEE Xplore Digital Library
Author	Montefusco, F. Steinacher, A. Akman, O.E. Bates, D.G. Soyer, O.S.
Copyright Year	2012
Description	Author affiliation: Centre for Systems, Dynamics and Control, College of Engineering, Mathematics and Physical Sciences, University of Exeter, UK (Montefusco, F.; Steinacher, A.; Akman, O.E.; Bates, D.G.; Soyer, O.S.)
Abstract	One of the most important design parameters in synthetic biological circuits is the gain of the system. In many naturally occurring biological control systems, however, the precise role of the gain in ensuring accurate control is unclear. In this study, we employ control theory to explore the role of gain in osmoregulation. It has been well-documented that the upstream signalling pathways involved in this system implement high levels of ultrasensitivity, however, the role of such high gain in producing the observed perfect adaptation is not clear. Indeed, it has been argued that a simple integral feedback controller can explain osmoadaptation without the need for high gain. Here, we extend a recently developed proportional controller model for this system with the implementation of ultrasenstivity. We evaluate the performance of the resulting two controllers under different biological assumptions and allowing different levels of gain. We find that a proportional controller implementing ultrasensitivity allows more precise and faster adaptation of cell volume following an osmo-shock. Such an input-output relationship can be tuned as a filter, where the proportional controller couldn't, and thereby allowing responses to signals above a certain threshold. Our results provide insights on the potential role of gain in biological systems, and should be of interest to synthetic biologists attempting to design biomolecular control systems.
Starting Page	3602
Ending Page	3607
File Size	256865
Page Count	6
File Format	PDF
ISBN	9781467320658
ISSN	07431546
e-ISBN	9781467320665
e-ISBN	9781467320641
DOI	10.1109/CDC.2012.6426064
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mathematical model Biological system modeling Production Control systems Adaptation models Solid modeling Sensitivity
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Modeling and Simulation

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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