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

Sara Larsson; Tobias Rydén; Ulla Holst; Stina Oredsson; Maria C Johansson

doi:10.1016/j.mbs.2008.01.009

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

Sara Larsson, Tobias Rydén, Ulla Holst, Stina Oredsson, Maria C Johansson

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	40-49
Journal	Mathematical Biosciences
Volume	213
Issue number	1
DOIs	https://doi.org/10.1016/j.mbs.2008.01.009
Publication status	Published - 2008

Subject classification (UKÄ)

Cancer and Oncology

Free keywords

Branching process
Cell cycle progression
S phase duration
Flow cytometry

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.mbs.2008.01.009

http://www.ncbi.nlm.nih.gov/pubmed/18433802?dopt=Abstract

Cite this

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title = "Estimating the variation in S phase duration from flow cytometric histograms.",

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.",

keywords = "Branching process, Cell cycle progression, S phase duration, Flow cytometry",

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AU - Larsson, Sara

AU - Rydén, Tobias

AU - Holst, Ulla

AU - Oredsson, Stina

AU - Johansson, Maria C

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

KW - Branching process

KW - Cell cycle progression

KW - S phase duration

KW - Flow cytometry

U2 - 10.1016/j.mbs.2008.01.009

DO - 10.1016/j.mbs.2008.01.009

M3 - Article

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SN - 0025-5564

VL - 213

SP - 40

EP - 49

JO - Mathematical Biosciences

JF - Mathematical Biosciences

IS - 1

ER -

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

Abstract

Subject classification (UKÄ)

Free keywords

UN SDGs

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