A New Model for the Estimation of Cell Proliferation Dynamics Using CFSE Data

Abstract

CFSE analysis of a proliferating cell population is a popular tool for the study of cell division and division-linked changes in cell behavior. Recently, 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.

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Document Details

Document Type
Technical Report
Publication Date
Aug 20, 2011
Accession Number
ADA556898

Entities

People

  • Andreas Meyerhans
  • Cristina Peligero
  • Gennady Bocharov
  • H. Thomas Banks
  • Jordi Argilaguet
  • Karyn L. Sutton
  • Marie Doumic
  • Sandra Giest
  • Tim Schenkel
  • W. C. Thompson

Organizations

  • North Carolina State University

Tags

DTIC Thesaurus Topics

  • Air Force
  • Blood
  • Cell Division
  • Cell Physiological Processes
  • Cells
  • Computational Science
  • Computations
  • Differential Equations
  • Dynamics
  • Equations
  • Inverse Problems
  • Lymphocytes
  • Mathematical Analysis
  • Mathematical Models
  • Probability Distributions
  • Random Variables
  • Stem Cells

Fields of Study

  • Biology
  • Mathematics

Readers

  • Computational Modeling and Simulation
  • Immunology