The Annals of Applied Probability

Proliferating parasites in dividing cells: Kimmel’s branching model revisited

Vincent Bansaye

Source: Ann. Appl. Probab. Volume 18, Number 3 (2008), 967-996.

Abstract

We consider a branching model introduced by Kimmel for cell division with parasite infection. Cells contain proliferating parasites which are shared randomly between the two daughter cells when they divide. We determine the probability that the organism recovers, meaning that the asymptotic proportion of contaminated cells vanishes. We study the tree of contaminated cells, give the asymptotic number of contaminated cells and the asymptotic proportions of contaminated cells with a given number of parasites. This depends on domains inherited from the behavior of branching processes in random environment (BPRE) and given by the bivariate value of the means of parasite offsprings. In one of these domains, the convergence of proportions holds in probability, the limit is deterministic and given by the Yaglom quasistationary distribution. Moreover, we get an interpretation of the limit of the Q-process as the size-biased quasistationary distribution.

Primary Subjects: 60J80, 60J85, 60K37
Secondary Subjects: 92C37, 92D25, 92D30
Keywords: Bienaymé Galton Watson process (BGW); branching processes in random environment (BPRE); Markov chain indexed by a tree; quasistationary distribution; empirical measures

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Permanent link to this document: http://projecteuclid.org/euclid.aoap/1211819791
Digital Object Identifier: doi:10.1214/07-AAP465
Mathematical Reviews number (MathSciNet): MR2418235

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