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A new model for the estimation of cell proliferation dynamics using CFSE data

  • H. T. Banks
  • , Karyn L. Sutton
  • , W. Clayton Thompson
  • , Gennady Bocharov
  • , Marie Doumic
  • , Tim Schenkel
  • , Jordi Argilaguet
  • , Sandra Giest
  • , Cristina Peligero
  • , Andreas Meyerhans
  • North Carolina State University
  • RAS
  • INRIA Rocquencourt
  • Saarland University
  • Pompeu Fabra University (UPF)

Research output: Contribution to journalArticlepeer-review

Abstract

CFSE analysis of a proliferating cell population is a popular tool for the study of cell division and divisionlinked changes in cell behavior. Recently Banks et al. (2011), Luzyanina et al. (2009), Luzyanina et al. (2007), a partial differential equation (PDE) model to describe lymphocyte dynamics in a CFSE proliferation assay was proposed. We present a significant revision of this model which improves the physiological understanding of several parameters. Namely, the parameter used previously as a heuristic explanation for the dilution of CFSE dye by cell division is replaced with a more physical component, cellular autofluorescence. The rate at which label decays is also quantified using a Gompertz decay process. We then demonstrate a revised method of fitting the model to the commonly used histogram representation of the data. It is shown that these improvements result in a model with a strong physiological basis which is fully capable of replicating the behavior observed in the data.

Original languageEnglish
Pages (from-to)143-160
Number of pages18
JournalJournal of Immunological Methods
Volume373
Issue number1-2
DOIs
Publication statusPublished - 28 Oct 2011
Externally publishedYes

Keywords

  • CFSE
  • Cell division number
  • Cell proliferation
  • Inverse problems
  • Label structured population dynamics
  • Partial differential equations

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