A Markov model approach shows a large variation in the length of S phase in MCF-7 breast cancer cells
Author
Summary, in English
Background: The potential doubling time of a tumor has been suggested to be a measurement of tumor aggressiveness; therefore, it is of interest to find reliable methods to estimate this time. Because of variability in length of the various cell cycle phases, stochastic modeling of the cell cycle might be a suitable approach. Methods: The relative movement curve and the DNA synthesis time were estimated by using local polynomial regression methods. Further, the rate of nucleotide incorporation was estimated by using a Markov pure birth process with one absorbing state to model the progression of the DNA distribution through S phase. Results: An estimate of the DNA synthesis time, with confidence intervals, was obtained from the relative movement curve. The Markov approach provided an estimate of the distribution of the time to complete S phase given the initial distribution. Using the Markov approach we also made an estimate of the mean number of active replicons during S phase. Conclusions: A Markov pure birth process has shown to be useful to model the progression of cells through S phase and to increase knowledge about the variability in the length of S phase and a large variation is shown.
Publishing year
2005
Language
English
Pages
15-25
Publication/Series
Cytometry Part A
Volume
65A
Issue
1
Document type
Journal article
Publisher
John Wiley & Sons Inc.
Topic
- Cell and Molecular Biology
Keywords
- Markov pure birth process
- flow cytometry
- movement
- relative
- DNA synthesis time
- cell cycle kinetics
- bromodeoxyuridine
- local polynomial
- regression
Status
Published
ISBN/ISSN/Other
- ISSN: 1552-4930