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A Markov model approach shows a large variation in the length of S phase in MCF-7 breast cancer cells

Larsson Lönn, Sara LU ; Johansson, Maria C LU ; Oredsson, Stina LU and Holst, Ulla LU (2005) In Cytometry Part A 65A(1). p.15-25
Abstract
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... (More)
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. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Markov pure birth process, flow cytometry, movement, relative, DNA synthesis time, cell cycle kinetics, bromodeoxyuridine, local polynomial, regression
in
Cytometry Part A
volume
65A
issue
1
pages
15 - 25
publisher
John Wiley & Sons
external identifiers
  • pmid:15809992
  • wos:000228740600003
  • scopus:18044388166
ISSN
1552-4930
DOI
10.1002/cyto.a.20125
language
English
LU publication?
yes
id
2df6dcfb-1067-4d62-910c-75acea379e9a (old id 244487)
date added to LUP
2007-08-03 12:23:26
date last changed
2017-01-01 05:05:35
@article{2df6dcfb-1067-4d62-910c-75acea379e9a,
  abstract     = {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.},
  author       = {Larsson Lönn, Sara and Johansson, Maria C and Oredsson, Stina and Holst, Ulla},
  issn         = {1552-4930},
  keyword      = {Markov pure birth process,flow cytometry,movement,relative,DNA synthesis time,cell cycle kinetics,bromodeoxyuridine,local polynomial,regression},
  language     = {eng},
  number       = {1},
  pages        = {15--25},
  publisher    = {John Wiley & Sons},
  series       = {Cytometry Part A},
  title        = {A Markov model approach shows a large variation in the length of S phase in MCF-7 breast cancer cells},
  url          = {http://dx.doi.org/10.1002/cyto.a.20125},
  volume       = {65A},
  year         = {2005},
}