Literature DB >> 7311619

Modeling cellular systems and aging processes: I. Mathematics of cell system models-a review.

M Witten.   

Abstract

A review of the literature on mathematical models of populations of cellular systems is presented. Continuous, discrete, and stochastic models are presented in a semihistorical manner as a prelude to answering the question of how to model an asynchronously dividing cellular system. This analysis is then broadened, in an attempt to broach the more general question of modeling the distribution of a set or collection of cell properties through an asynchronously dividing cellular system. Such properties might be cell motility, cell cycle length, time to mitosis, or number of epigenetic particles. It is shown that one fruitful approach to this modeling question is a coupled continuous-probabilistic model. The ramifications of this type of formalism are discussed.

Mesh:

Year:  1981        PMID: 7311619     DOI: 10.1016/0047-6374(81)90128-7

Source DB:  PubMed          Journal:  Mech Ageing Dev        ISSN: 0047-6374            Impact factor:   5.432


  3 in total

1.  A model of proliferating cell populations with inherited cycle length.

Authors:  G F Webb
Journal:  J Math Biol       Date:  1986       Impact factor: 2.259

2.  Biological system interactions.

Authors:  G Adomian; G E Adomian; R E Bellman
Journal:  Proc Natl Acad Sci U S A       Date:  1984-05       Impact factor: 11.205

3.  Chemotherapy in conjoint aging-tumor systems: some simple models for addressing coupled aging-cancer dynamics.

Authors:  Mitra S Feizabadi; Tarynn M Witten
Journal:  Theor Biol Med Model       Date:  2010-06-15       Impact factor: 2.432

  3 in total

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