We consider the problem of regulating by means of external control inputs the ratio of two cell populations. Specifically, we assume that these two cellular populations are composed of cells belonging to the same strain which embeds some bistable memory mechanism, e.g. a genetic toggle switch, allowing them to switch role from one population to another in response to some inputs. We present three control strategies to regulate the populations' ratio to arbitrary desired values which take also into account realistic physical and technological constraints occurring in experimental microfluidic platforms. The designed controllers are then validated in-silico using stochastic agent-based simulations.
Ratiometric control for differentiation of cell populations endowed with synthetic toggle switches / Salzano, D.; Fiore, D.; di Bernardo, M.. - 2019:(2019), pp. 927-932. ( 58th IEEE Conference on Decision and Control, CDC 2019 Acropolis Convention Centre, fra 2019) [10.1109/CDC40024.2019.9029592].
Ratiometric control for differentiation of cell populations endowed with synthetic toggle switches
Salzano D.Primo
;Fiore D.Secondo
;di Bernardo M.Ultimo
2019
Abstract
We consider the problem of regulating by means of external control inputs the ratio of two cell populations. Specifically, we assume that these two cellular populations are composed of cells belonging to the same strain which embeds some bistable memory mechanism, e.g. a genetic toggle switch, allowing them to switch role from one population to another in response to some inputs. We present three control strategies to regulate the populations' ratio to arbitrary desired values which take also into account realistic physical and technological constraints occurring in experimental microfluidic platforms. The designed controllers are then validated in-silico using stochastic agent-based simulations.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
