Engineering Logical Inflammation Sensing Circuit for Modulating Gut Conditions
Abstract
The mammalian gut contains trillions of microbes that interact with host cells and monitor changes in the environment. Opportunistic pathogens exploit environmental conditions to stimulate their growth and virulence, leading to a resurgence of chronic disorders such as inflammatory bowel disease (IBD). Current therapies are effective in less than 30% of patients due to the lack of adherence to prescription schedules and overall, off-target effects. Smart microbial therapeutics can be engineered to colonize the gut, providing in situ surveillance and conditional disease modulation. However, many current engineered microbes can only respond to single gut environmental factors, limiting their effectiveness. In this work, we implement the previously characterized split activator AND logic gate in the probiotic E. coli strain Nissle 1917. Our system can respond to two input signals: the inflammatory biomarker tetrathionate and a second input signal, IPTG. We report 4-6 fold induction with minimal leak when both signals are present. We model the dynamics of the AND gate using chemical reaction networks, and by tuning parameters in silico, we identified perturbations that affect our circuit's selectivity. We anticipate that our results will prove useful for designing living therapeutics for spatial targeting and signal processing in complex environments.
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-NC-ND 4.0 International license. This version posted November 10, 2020. We thank William Poole and John Marken for technical guidance, as well as all other Murray lab members for insightful discussions. We thank Dr. Henry Schreiber and Prof. Sarkis Mazmanian for collaborating with us in ongoing microbiome studies with this project. Dr. Leo Green is supported by the Caltech NSF AGEP Fellowship and Rosen Fellowship. We thank Caltech CEMI for providing support for future directions of this work. Prof. Justin Bois has provided excellent discussions regarding data analysis and availability. Logic gate strains were provided by Martin Buck & Baojun Wan. Some figures were created with BioRender.com. The authors have declared no competing interest.Attached Files
Submitted - 2020.11.10.377085v1.full.pdf
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Additional details
- Eprint ID
- 106610
- Resolver ID
- CaltechAUTHORS:20201111-100159834
- NSF Graduate Research Fellowship
- Donna and Benjamin M. Rosen Bioengineering Center
- Created
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2020-11-11Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field
- Caltech groups
- Rosen Bioengineering Center, Division of Biology and Biological Engineering (BBE)