Estimating the variation in S phase duration from flow cytometric histograms.
(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:
https://lup.lub.lu.se/record/1147089
- author
- Larsson, Sara LU ; Rydén, Tobias LU ; Holst, Ulla LU ; Oredsson, Stina LU and Johansson, Maria C LU
- organization
- publishing date
- 2008
- 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}}, }