Interpreting CFSE obtained division histories of B cells in vitro with Smith-Martin and cyton type models

Bull Math Biol. 2009 Oct;71(7):1649-70. doi: 10.1007/s11538-009-9418-6. Epub 2009 Apr 21.

Abstract

The fluorescent dye carboxyfluorescin diacetate succinimidyl ester (CFSE) classifies proliferating cell populations into groups according to the number of divisions each cell has undergone (i.e., its division class). The pulse labeling of cells with radioactive thymidine provides a means to determine the distribution of times of entry into the first cell division. We derive in analytic form the number of cells in each division class as a function of time using the cyton approach that utilizes independent stochastic distributions for the time to divide and the time to die. We confirm that our analytic form for the number of cells in each division class is consistent with the numerical solution of a set of delay differential equations representing the generalized Smith-Martin model with cell death rates depending on the division class. Choosing the distribution of time to the first division to fit thymidine labeling data for B cells stimulated in vitro with lipopolysaccharide (LPS) and either with or without interleukin-4 (IL-4), we fit CFSE data to determine the dependence of B cell kinetic parameters on the presence of IL-4. We find when IL-4 is present, a greater proportion of cells are recruited into division with a longer average time to first division. The most profound effect of the presence of IL-4 was decreased death rates for smaller division classes, which supports a role of IL-4 in the protection of B cells from apoptosis.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Algorithms
  • Animals
  • Apoptosis / drug effects
  • B-Lymphocytes / cytology*
  • B-Lymphocytes / drug effects
  • Cell Count
  • Cell Division / drug effects
  • Cell Division / physiology*
  • Cell Proliferation / drug effects
  • Cells, Cultured
  • Computer Simulation
  • Demecolcine / pharmacology
  • Fluoresceins / metabolism*
  • Fluorescent Dyes / metabolism
  • Interleukin-4 / pharmacology
  • Lipopolysaccharides / pharmacology
  • Mice
  • Models, Biological*
  • Probability
  • Staining and Labeling
  • Stochastic Processes
  • Succinimides / metabolism*
  • Thymidine / metabolism

Substances

  • 5-(6)-carboxyfluorescein diacetate succinimidyl ester
  • Fluoresceins
  • Fluorescent Dyes
  • Lipopolysaccharides
  • Succinimides
  • Interleukin-4
  • Thymidine
  • Demecolcine