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

Larsson, 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
; ; ; and
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
  • pmid:18433802
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
2016-04-01 14:10:10
date last changed
2022-01-27 23:06:53
@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, Sara and Rydén, Tobias and Holst, Ulla and Oredsson, Stina and Johansson, Maria C}},
  issn         = {{0025-5564}},
  keywords     = {{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}},
  doi          = {{10.1016/j.mbs.2008.01.009}},
  volume       = {{213}},
  year         = {{2008}},
}