| Title | A Markov model approach shows a large variation in the length of S phase in MCF-7 breast cancer cells |
| Authors | Sara Larsson, Maria C Johansson, Stina Oredsson, Ulla Holst |
| Alternative Location | http://dx.doi.org/10.1002/c..., Restricted Access |
| Publication | Cytometry Part A |
| Year | 2005 |
| Volume | 65A |
| Issue | 1 |
| Pages | 15 - 25 |
| Document type | Article |
| Status | Published |
| Quality controlled | Yes |
| Language | eng |
| Publisher | Wiley |
| Abstract 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. |
| Keywords | Markov pure birth process, flow cytometry, movement, relative, DNA synthesis time, cell cycle kinetics, bromodeoxyuridine, local polynomial, regression, |
| ISBN/ISSN/Other | ISSN: 1552-4922 |
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