Literature DB >> 19381725

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

Ha Youn Lee1, Edwin Hawkins, Martin S Zand, Tim Mosmann, Hulin Wu, Philip D Hodgkin, Alan S Perelson.   

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.

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Year:  2009        PMID: 19381725      PMCID: PMC2834560          DOI: 10.1007/s11538-009-9418-6

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  34 in total

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Authors:  E F Wagner; N Hanna; L D Fast; N Kouttab; P R Shank; A Vazquez; S Sharma
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4.  Functional antigen-independent synapses formed between T cells and dendritic cells.

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5.  A cellular calculus for signal integration by T cells.

Authors:  A V Gett; P D Hodgkin
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Review 6.  Analysing cell division in vivo and in vitro using flow cytometric measurement of CFSE dye dilution.

Authors:  A B Lyons
Journal:  J Immunol Methods       Date:  2000-09-21       Impact factor: 2.303

7.  Stochastic model of T cell proliferation: a calculus revealing IL-2 regulation of precursor frequencies, cell cycle time, and survival.

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Authors:  Stuart G Tangye; Danielle T Avery; Elissa K Deenick; Philip D Hodgkin
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9.  Modeling T cell proliferation and death in vitro based on labeling data: generalizations of the Smith-Martin cell cycle model.

Authors:  Ha Youn Lee; Alan S Perelson
Journal:  Bull Math Biol       Date:  2007-08-15       Impact factor: 1.758

10.  Analysis of cell kinetics using a cell division marker: mathematical modeling of experimental data.

Authors:  Samuel Bernard; Laurent Pujo-Menjouet; Michael C Mackey
Journal:  Biophys J       Date:  2003-05       Impact factor: 4.033

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  7 in total

1.  Mathematical models for CFSE labelled lymphocyte dynamics: asymmetry and time-lag in division.

Authors:  Tatyana Luzyanina; Jovana Cupovic; Burkhard Ludewig; Gennady Bocharov
Journal:  J Math Biol       Date:  2013-12-13       Impact factor: 2.259

2.  Evaluation of multitype mathematical models for CFSE-labeling experiment data.

Authors:  Hongyu Miao; Xia Jin; Alan S Perelson; Hulin Wu
Journal:  Bull Math Biol       Date:  2011-06-17       Impact factor: 1.758

3.  Estimation of cell proliferation dynamics using CFSE data.

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4.  Quantifying T lymphocyte turnover.

Authors:  Rob J De Boer; Alan S Perelson
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Review 5.  Stochastic models of lymphocyte proliferation and death.

Authors:  Anton Zilman; Vitaly V Ganusov; Alan S Perelson
Journal:  PLoS One       Date:  2010-09-30       Impact factor: 3.240

6.  Understanding natural killer cell regulation by mathematical approaches.

Authors:  Carsten Watzl; Michal Sternberg-Simon; Doris Urlaub; Ramit Mehr
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Review 7.  Asymmetry of Cell Division in CFSE-Based Lymphocyte Proliferation Analysis.

Authors:  Gennady Bocharov; Tatyana Luzyanina; Jovana Cupovic; Burkhard Ludewig
Journal:  Front Immunol       Date:  2013-09-02       Impact factor: 7.561

  7 in total

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