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Abstract
Biological computation requires in vivo control of molecular behavior to progress development of autonomous devices. miRNA switches represent excellent, easily engineerable synthetic biology tools to achieve user-defined gene regulation. Here we present the construction of a synthetic network to implement detoxification functionality. We employed a modular design strategy by engineering toxin-induced control of an enzyme scavenger. Our miRNA switch results show moderate synthetic expression control over a biologically active detoxification enzyme molecule, using an established design protocol. However, following a new design approach, we demonstrated an evolutionarily designed miRNA switch to more effectively activate enzyme activity than synthetically designed versions, allowing markedly improved extrinsic user-defined control with a toxin as inducer. Our straightforward new design approach is simple to implement and uses easily accessible web-based databases and prediction tools. The ability to exert control of toxicity demonstrates potential for modular detoxification systems that provide a pathway to new therapeutic and biocomputing applications.
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1 University of the Sunshine Coast, Genecology Research Centre, Sippy Downs, Australia (GRID:grid.1034.6) (ISNI:0000 0001 1555 3415); University of the Sunshine Coast, School of Science, Technology, and Engineering, Sippy Downs, Australia (GRID:grid.1034.6) (ISNI:0000 0001 1555 3415); The University of Queensland, Australian Institute for Bioengineering and Nanotechnology, Brisbane, Australia (GRID:grid.1003.2) (ISNI:0000 0000 9320 7537); CSIRO Synthetic Biology Future Science Platform, Canberra, Australia (GRID:grid.1016.6) (ISNI:0000 0001 2173 2719)
2 The University of Queensland, Australian Institute for Bioengineering and Nanotechnology, Brisbane, Australia (GRID:grid.1003.2) (ISNI:0000 0000 9320 7537); The University of Queensland, UQ Centre for Stem Cell Ageing and Regenerative Engineering, Brisbane, Australia (GRID:grid.1003.2) (ISNI:0000 0000 9320 7537)
3 University of the Sunshine Coast, Genecology Research Centre, Sippy Downs, Australia (GRID:grid.1034.6) (ISNI:0000 0001 1555 3415); University of the Sunshine Coast, School of Science, Technology, and Engineering, Sippy Downs, Australia (GRID:grid.1034.6) (ISNI:0000 0001 1555 3415); Columbia University, Division of Experimental Therapeutics, Department of Medicine, New York, USA (GRID:grid.21729.3f) (ISNI:0000000419368729)