Literature DB >> 17701260

Modeling T cell proliferation and death in vitro based on labeling data: generalizations of the Smith-Martin cell cycle model.

Ha Youn Lee1, Alan S Perelson.   

Abstract

The fluorescent dye carboxyfluorescein 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 based on the distribution of times to the first division. Choosing the distribution of time to the first division to fit thymidine labeling data for T cells stimulated in vitro under different concentrations of IL-2, we fit CFSE data to determine the dependence of T cell kinetic parameters on the concentration of IL-2. As the concentration of IL-2 increases, the average cell cycle time is shortened, the death rate of cells is decreased, and a higher fraction of cells is recruited into division. We also find that if the average cell cycle time increases with division class then the qualify of our fit to the data improves.

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Year:  2007        PMID: 17701260     DOI: 10.1007/s11538-007-9239-4

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


  13 in total

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

Authors:  H T Banks; Karyn L Sutton; W Clayton Thompson; Gennady Bocharov; Marie Doumic; Tim Schenkel; Jordi Argilaguet; Sandra Giest; Cristina Peligero; Andreas Meyerhans
Journal:  J Immunol Methods       Date:  2011-08-24       Impact factor: 2.303

2.  Stretched cell cycle model for proliferating lymphocytes.

Authors:  Mark R Dowling; Andrey Kan; Susanne Heinzel; Jie H S Zhou; Julia M Marchingo; Cameron J Wellard; John F Markham; Philip D Hodgkin
Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-14       Impact factor: 11.205

3.  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

4.  An age-dependent branching process model for the analysis of CFSE-labeling experiments.

Authors:  Ollivier Hyrien; Rui Chen; Martin S Zand
Journal:  Biol Direct       Date:  2010-06-22       Impact factor: 4.540

5.  Quantifying T lymphocyte turnover.

Authors:  Rob J De Boer; Alan S Perelson
Journal:  J Theor Biol       Date:  2013-01-09       Impact factor: 2.691

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

Authors:  Ha Youn Lee; Edwin Hawkins; Martin S Zand; Tim Mosmann; Hulin Wu; Philip D Hodgkin; Alan S Perelson
Journal:  Bull Math Biol       Date:  2009-04-21       Impact factor: 1.758

Review 7.  Modeling HIV persistence, the latent reservoir, and viral blips.

Authors:  Libin Rong; Alan S Perelson
Journal:  J Theor Biol       Date:  2009-06-17       Impact factor: 2.691

8.  The contribution of age structure to cell population responses to targeted therapeutics.

Authors:  Pierre Gabriel; Shawn P Garbett; Vito Quaranta; Darren R Tyson; Glenn F Webb
Journal:  J Theor Biol       Date:  2012-07-11       Impact factor: 2.691

Review 9.  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

10.  Quantifying the length and variance of the eukaryotic cell cycle phases by a stochastic model and dual nucleoside pulse labelling.

Authors:  Tom Serge Weber; Irene Jaehnert; Christian Schichor; Michal Or-Guil; Jorge Carneiro
Journal:  PLoS Comput Biol       Date:  2014-07-24       Impact factor: 4.475

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