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

Research output: Contribution to journalArticlepeer-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 languageEnglish
Pages (from-to)40-49
JournalMathematical Biosciences
Volume213
Issue number1
DOIs
Publication statusPublished - 2008

Subject classification (UKÄ)

  • Cancer and Oncology

Free keywords

  • Branching process
  • Cell cycle progression
  • S phase duration
  • Flow cytometry

Fingerprint

Dive into the research topics of 'Estimating the variation in S phase duration from flow cytometric histograms.'. Together they form a unique fingerprint.

Cite this