Stochastic modeling of cell growth with symmetric or asymmetric division
Andrew Marantan, Ariel Amir

TL;DR
This paper develops a stochastic model for cell resource distribution during division, analyzing conditions for stable distributions, their properties, and the effects of asymmetry on stability and distribution width.
Contribution
It introduces a master equation for resource dynamics with symmetric/asymmetric division, deriving stability conditions and analyzing distribution tails and phase diagrams.
Findings
Stable resource distributions exist under certain conditions.
Asymmetry increases system stability but broadens the distribution.
Power-law tails can emerge in the resource distribution.
Abstract
We consider a class of biologically-motivated stochastic processes in which a unicellular organism divides its resources (volume or damaged proteins, in particular) symmetrically or asymmetrically between its progeny. Assuming the final amount of the resource is controlled by a growth policy and subject to additive and multiplicative noise, we derive the "master equation" describing how the resource distribution evolves over subsequent generations and use it to study the properties of stable resource distributions. We find conditions under which a unique stable resource distribution exists and calculate its moments for the class of affine linear growth policies. Moreover, we apply an asymptotic analysis to elucidate the conditions under which the stable distribution (when it exists) has a power-law tail. Finally, we use the results of this asymptotic analysis along with the moment…
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