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Self-adaptive biosystems through tunable genetic parts and circuits

Bartoli, Vittorio; di Bernardo, Mario; Gorochowski, Thomas E.;
Open Access
Abstract Biological systems often need to operate in complex environments where conditions can rapidly change. This is possible because of their inherent ability to sense changes and adapt their behavior in response. Here, we detail recent advances in the creation of synthetic genetic parts and circuits whose behaviors can be dynamically tuned through a variety of intracellular and extracellular signals. We show how this capability lays the foundation for implementing control engineering schemes in living cells and allows for the creation of biological systems that are able to self-adapt, ensuring their functionality is maintained in the face of varying environ...
Persistent Identifiers
Funded by
Control Engineering of Biological Systems for Reliable Synthetic Biology Applications
  • Funder: European Commission (EC)
  • Project Code: 766840
  • Funding stream: H2020
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Provider: ZENODO
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