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

arXiv: https://arxiv.org/abs/1903.09414 · HTML: https://mlsanity.com/paper/1903.09414/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Mar 2019.

## Built on by (most cited first, 1 of 1)

- [External control of a genetic toggle switch via Reinforcement Learning](https://mlsanity.com/paper/2204.04972/) (2022)

## Abstract (arXiv)

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.