Heterogeneity in the size distribution of cancer cell populations is linked to drug resistance and invasiveness. However, understanding how such heterogeneity arises is still damped by the difficulties of monitoring the proliferation at the typical timescales of mammalian cells. Here, we show how to infer the growth regime and division strategy of leukemia cell populations using live cell fluorescence labeling and flow cytometry in combination with an analytical model where cell growth and division rates depend on powers of the size. We found that the dynamics of the size distribution of Jurkat T-cells is reproduced by (i) a sizer-like division strategy, with (ii) division times following an Erlang distribution and (iii) fluctuations up to ten percent of the inherited fraction of size at division. Overall, our apparatus can be extended to other cell types and environmental conditions allowing for a comprehensive characterization of the growth and division model different cells adopt.Understanding how cancer cells regulate their size is still largely an open question. The authors propose a method to infer the division strategy of leukemia cells via live cell fluorescence labeling and flow cytometry measurements combined with a mathematical model based on size-dependent growth and division rates.

A size-dependent division strategy accounts for leukemia cell size heterogeneity / Miotto, Mattia; Scalise, Simone; Leonetti, Marco; Ruocco, Giancarlo; Peruzzi, Giovanna; Gosti, Giorgio. - In: COMMUNICATIONS PHYSICS. - ISSN 2399-3650. - 7:1(2024), pp. 1-11. [10.1038/s42005-024-01743-1]

A size-dependent division strategy accounts for leukemia cell size heterogeneity

Miotto, Mattia
Primo
;
Scalise, Simone;Leonetti, Marco;Ruocco, Giancarlo;Peruzzi, Giovanna;Gosti, Giorgio
2024

Abstract

Heterogeneity in the size distribution of cancer cell populations is linked to drug resistance and invasiveness. However, understanding how such heterogeneity arises is still damped by the difficulties of monitoring the proliferation at the typical timescales of mammalian cells. Here, we show how to infer the growth regime and division strategy of leukemia cell populations using live cell fluorescence labeling and flow cytometry in combination with an analytical model where cell growth and division rates depend on powers of the size. We found that the dynamics of the size distribution of Jurkat T-cells is reproduced by (i) a sizer-like division strategy, with (ii) division times following an Erlang distribution and (iii) fluctuations up to ten percent of the inherited fraction of size at division. Overall, our apparatus can be extended to other cell types and environmental conditions allowing for a comprehensive characterization of the growth and division model different cells adopt.Understanding how cancer cells regulate their size is still largely an open question. The authors propose a method to infer the division strategy of leukemia cells via live cell fluorescence labeling and flow cytometry measurements combined with a mathematical model based on size-dependent growth and division rates.
2024
cell size; flow cytometry; stochastic simulations
01 Pubblicazione su rivista::01a Articolo in rivista
A size-dependent division strategy accounts for leukemia cell size heterogeneity / Miotto, Mattia; Scalise, Simone; Leonetti, Marco; Ruocco, Giancarlo; Peruzzi, Giovanna; Gosti, Giorgio. - In: COMMUNICATIONS PHYSICS. - ISSN 2399-3650. - 7:1(2024), pp. 1-11. [10.1038/s42005-024-01743-1]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1724410
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