Conference paper Open Access

Ratiometric control for differentiation of cell populations endowed with synthetic toggle switches

Salzano, Davide; Fiore, Davide; di Bernardo, Mario

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{
"DOI": "10.1109/CDC40024.2019.9029592",
"title": "Ratiometric control for differentiation of cell populations endowed with synthetic toggle switches",
"issued": {
"date-parts": [
[
2020,
3,
12
]
]
},
"abstract": "<p>&nbsp;</p>\n\n<p>Abstract</p>\n\n<p>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&#39; 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.</p>\n\n<p>&nbsp;</p>\n\n<p>&nbsp;</p>\n\n<p>&nbsp;</p>\n\n<p>&nbsp;</p>",
"author": [
{
"family": "Salzano,\u00a0Davide"
},
{
"family": "Fiore,\u00a0Davide"
},
{
"family": "di Bernardo,\u00a0Mario"
}
],
"id": "4836205",
"note": "This is a preprint of the conference paper published in \"2019 IEEE 58th Conference on Decision and Control (CDC)\"",
"event-place": "Nice, France",
"type": "paper-conference",
"event": "2019 IEEE 58th Conference on Decision and Control (CDC)"
}
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