Difference between revisions of "Bacterial Controller Aided Wound Healing: A Case Study in Dynamical Population Controller Design"

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Latest revision as of 00:11, 10 June 2019

Title Bacterial Controller Aided Wound Healing: A Case Study in Dynamical Population Controller Design
Authors Leopold N. Green, Chelsea Y. Hu, Xinying Y. Ren, Richard M. Murray
Source qBio Conference 2019
Abstract Wound healing is a complicated biological process consisting of many types of cellular dynamics and functions regulated by chemical and molecular signals. Recent advances in synthetic biology have made it possible to predictably design and build closed-loop controllers that can function appropriately alongside biological species. In this paper we develop a simple dynamical population model mimicking the sequential relay-like dynamics of cellular populations involved in the wound healing process. Our model consists of four nodes and five signals whose parameters we can tune to simulate various chronic healing conditions. We also develop a set of regulator functions based on type-1 incoherent feed forward loops (IFFL) that can sense the change from acute healing to incomplete chronic wounds, improving the system in a timely manner. Both the wound healing and type-1 IFFL controller architectures are compatible with available synthetic biology experimental tools for potential applications.
Type Conference paper
URL https://www.biorxiv.org/content/10.1101/659714v1
Tag GHRM19-qbio
ID 2019c
Funding DARPA BioCon
Flags