Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published June 4, 2019 | Submitted
Report Open

Bacterial Controller Aided Wound Healing: A Case Study in Dynamical Population Controller Design

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.

Additional Information

The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license. bioRxiv preprint first posted online Jun. 4, 2019. This version posted June 15, 2020. The authors would like to thank Reed McCardell, William Poole, Ayush Pandey and Mark Prator for their insightful discussion. The authors L. G., X. R., and C. H. are supported by Defense Advanced Research Projects Agency (Agreement HR0011-17-2-0008). The content of the information does not necessarily re ect the position or the policy of the Government, and no official endorsement should be inferred. Competing Interest Statement: The authors have declared no competing interest.

Attached Files

Submitted - 659714v2.full.pdf

Files

659714v2.full.pdf
Files (528.5 kB)
Name Size Download all
md5:c0e68fb96ff43551c4e4446da2d70cab
528.5 kB Preview Download

Additional details

Created:
August 19, 2023
Modified:
October 20, 2023