title: Stochastic modeling of cell growth with symmetric or asymmetric division.
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 recursive integral equation describing the evolution of the resource distribution 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 equations to draw a stability phase diagram for the system that reveals the counterintuitive result that asymmetry serves to increase stability while at the same time widening the stable distribution. We also briefly discuss how cells can divide damaged proteins asymmetrically between their progeny as a form of damage control. In the appendixes, motivated by the asymmetric division of cell volume in Saccharomyces cerevisiae, we extend our results to the case wherein mother and daughter cells follow different growth policies.
authors: Department of Physics, Harvard University, Cambridge, Massachusetts 02138, USA.
authors: Andrew
authors: A
authors: Marantan
authors: School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, USA.
authors: Ariel
authors: A
authors: Amir
mesh_terms: D002455:Cell Division / Q000502:physiology; D008954:Models, Biological; D012441:Saccharomyces cerevisiae / Q000166:cytology* / Q000502:physiology; D013269:Stochastic Processes