AI Article Synopsis

  • Biological computation aims to control molecular behavior in living organisms for developing autonomous devices.
  • The study presents a synthetic network that uses miRNA switches for user-defined gene regulation, specifically for detoxifying harmful substances.
  • An evolved miRNA switch outperformed synthetic designs, enhancing control over enzyme activation and paving the way for modular detoxification systems with potential applications in therapy and biocomputing.

Article 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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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7844233PMC
http://dx.doi.org/10.1038/s41598-021-81679-6DOI Listing

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