Literature DB >> 9041112

A transition probability cell cycle model simulation of bivariate DNA/bromodeoxyuridine distributions.

S J Cain1, P C Chau.   

Abstract

The transition probability cell cycle model is extended to describe both cell cycle variability and incorporation of bromodeoxyuridine (BrdUrd). The model can simulate BrdUrd uptake in both pulse-chase and continuous-labeling experiments. With the use of a random transition, variability due to cell cycle progression is distinguished from dispersion due to staining and machine errors in the generation of bivariate DNA/BrdUrd distributions. In a comparative test with a compartmental model developed by Yanagisawa et al. (Cytometry 6:550-562, 1985), the present model is shown to provide realistic simulations with fewer model parameters and with the ability to describe gradual asynchronization of cell cycle cohorts. With model predictions as the basis, a simulated experiment is performed to illustrate the difficulty in analyzing bivariate distributions. The simulated experiment illustrated that it is very easy to overestimate unlabeled cell fractions, and, as a result, matching the periodicity of the cell cycle cohort movements is more reliable in the estimation of model parameters.

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Year:  1997        PMID: 9041112     DOI: 10.1002/(sici)1097-0320(19970301)27:3<239::aid-cyto5>3.0.co;2-9

Source DB:  PubMed          Journal:  Cytometry        ISSN: 0196-4763


  2 in total

1.  Three-dimensional cell cycle model with distributed transcription and translation.

Authors:  K J Rounseville; P C Chau
Journal:  Med Biol Eng Comput       Date:  2005-01       Impact factor: 2.602

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

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