Literature DB >> 11708856

Age-dependent cell cycle models.

J Tyrcha1.   

Abstract

This paper presents age-dependent cell cycle models i.e., models where cell generation time is a random variable given by some distribution function, and the probability of cell division per unit time is a function only of cell age (not, for example, of cell mass). It is shown that there does not exist a stable mass distribution if the cells grow exponentially. In the case of linear growth, conditions for stability of the mass distribution are derived. To show these, the methods different from those considered up till now in the literature, are used. It is also shown that one can consider the cell mass growth as a linear dynamical system with a stochastic perturbation. The sister cell model as an improvement of the Transition Probability Model is derived. Statistical data are obtained for that model, and comparisons are made with some experimental data. As a verification tool, alpha and beta curves, are used. Copyright 2001 Academic Press.

Mesh:

Year:  2001        PMID: 11708856     DOI: 10.1006/jtbi.2001.2403

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  2 in total

1.  Evaluation of multitype mathematical models for CFSE-labeling experiment data.

Authors:  Hongyu Miao; Xia Jin; Alan S Perelson; Hulin Wu
Journal:  Bull Math Biol       Date:  2011-06-17       Impact factor: 1.758

2.  Quantifying the length and variance of the eukaryotic cell cycle phases by a stochastic model and dual nucleoside pulse labelling.

Authors:  Tom Serge Weber; Irene Jaehnert; Christian Schichor; Michal Or-Guil; Jorge Carneiro
Journal:  PLoS Comput Biol       Date:  2014-07-24       Impact factor: 4.475

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.