A Markov model approach shows a large variation in the length of S phase in MCF-7 breast cancer cells
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/244487
- author
- Larsson, Sara LU ; Johansson, Maria C LU ; Oredsson, Stina LU and Holst, Ulla LU
- organization
- publishing date
- 2005
- 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 Inc.
- external identifiers
-
- pmid:15809992
- wos:000228740600003
- scopus:18044388166
- pmid:15809992
- 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
- 2016-04-01 12:22:48
- date last changed
- 2022-01-27 02:54:19
@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, Sara and Johansson, Maria C and Oredsson, Stina and Holst, Ulla}}, issn = {{1552-4930}}, keywords = {{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 Inc.}}, 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}}, doi = {{10.1002/cyto.a.20125}}, volume = {{65A}}, year = {{2005}}, }