Theoretical Design of Paradoxical Signaling-Based Synthetic Population Control Circuit in E. coli
- Creators
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Mayalu, Michaëlle N.
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Murray, Richard M.
Abstract
We have developed a mathematical framework to analyze the cooperative control of cell population homeostasis via paradoxical signaling in synthetic contexts. Paradoxical signaling functions through quorum sensing (where cells produce and release a chemical signal as a function of cell density). Precisely, the same quorum sensing signal provides both positive (proliferation) and negative (death) feedback in different signal concentration regimes. As a consequence, the relationship between intercellular quorum sensing signal concentration and net growth rate (cell proliferation minus death rates) can be non-monotonic. This relationship is a condition for robustness to certain cell mutational overgrowths and allows for increased stability in the presence of environmental perturbations. Here, we explore stability and robustness of a conceptualized synthetic circuit. Furthermore, we asses possible design principles that could exist among a subset of paradoxical circuit implementations. This analysis sparks the development a bio-molecular control theory to identify ideal underlying characteristics for paradoxical signaling control systems.
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 4.0 International license. bioRxiv preprint first posted online Jan. 28, 2020. The authors are grateful to Leopold N. Green for help with conceptualizing circuit components within design and elucidating mechanisms. The authors acknowledge funding support from the Burroughs Wellcome Fund. The efforts depicted is also sponsored by the Defense Advanced Research Projects Agency (Agreement HR0011-17-2-0008). The content of the information does not necessarily reflect the position or the policy of the Government, and no official endorsement should be inferred.Attached Files
Submitted - 2020.01.27.921734v1.full.pdf
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Additional details
- Eprint ID
- 100977
- Resolver ID
- CaltechAUTHORS:20200128-150452496
- Burroughs Wellcome Fund
- Defense Advanced Research Projects Agency (DARPA)
- HR0011-17-2-0008
- Created
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2020-01-28Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field
- Caltech groups
- Division of Biology and Biological Engineering (BBE)