Embedded control of cell growth using tunable genetic systems

We present an embedded feedback control strategy to regulate the density of a microbial population, that is, number cells into given environment, allowing self-regulate their growth rate so as reach desired at steady state. consider static culture condition, where are provided with limited amount space and nutrients. The is built using tunable expression system (TES), which controls production inhibitor protein, complemented quorum sensing mechanism for population density. show via simplified population-level model TES endows additional flexibility by set-point be changed online. Finally, we validate effectiveness proposed means realistic in silico experiments conducted BSim, agent-based simulator explicitly designed simulate bacterial populations, test robustness our design disturbances parameters' variations due, instance, cell-to-cell variability.