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Estimating the variation in S phase duration from flow cytometric histograms.

Larsson Lönn, Sara LU ; Rydén, Tobias LU ; Holst, Ulla LU ; Oredsson, Stina LU and Johansson, Maria C LU (2008) In Mathematical Biosciences 213(1). p.40-49
Abstract
A stochastic model for interpreting BrdUrd DNA FCM-derived data is proposed. The model is based on branching processes and describes the progression of the DNA distribution of BrdUrd-labelled cells through the cell cycle. With the main focus on estimating the S phase duration and its variation, the DNA replication rate is modelled by a piecewise linear function, while assuming a gamma distribution for the S phase duration. Estimation of model parameters was carried out using maximum likelihood for data from two different cell lines. The results provided quite a good fit to the data, suggesting that stochastic models may be a valuable tool for analysing this kind of data.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Branching process, Cell cycle progression, S phase duration, Flow cytometry
in
Mathematical Biosciences
volume
213
issue
1
pages
40 - 49
publisher
Elsevier
external identifiers
  • wos:000256231600005
  • scopus:42649143819
ISSN
0025-5564
DOI
10.1016/j.mbs.2008.01.009
language
English
LU publication?
yes
id
1ed5542d-0947-4324-8ae5-3a8bccda7090 (old id 1147089)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/18433802?dopt=Abstract
date added to LUP
2008-09-15 11:57:00
date last changed
2017-01-01 06:05:46
@article{1ed5542d-0947-4324-8ae5-3a8bccda7090,
  abstract     = {A stochastic model for interpreting BrdUrd DNA FCM-derived data is proposed. The model is based on branching processes and describes the progression of the DNA distribution of BrdUrd-labelled cells through the cell cycle. With the main focus on estimating the S phase duration and its variation, the DNA replication rate is modelled by a piecewise linear function, while assuming a gamma distribution for the S phase duration. Estimation of model parameters was carried out using maximum likelihood for data from two different cell lines. The results provided quite a good fit to the data, suggesting that stochastic models may be a valuable tool for analysing this kind of data.},
  author       = {Larsson Lönn, Sara and Rydén, Tobias and Holst, Ulla and Oredsson, Stina and Johansson, Maria C},
  issn         = {0025-5564},
  keyword      = {Branching process,Cell cycle progression,S phase duration,Flow cytometry},
  language     = {eng},
  number       = {1},
  pages        = {40--49},
  publisher    = {Elsevier},
  series       = {Mathematical Biosciences},
  title        = {Estimating the variation in S phase duration from flow cytometric histograms.},
  url          = {http://dx.doi.org/10.1016/j.mbs.2008.01.009},
  volume       = {213},
  year         = {2008},
}