Estimation of Cell Proliferation Dynamics Using CFSE Data

被引:60
作者
Banks, H. T. [1 ]
Sutton, Karyn L. [1 ]
Thompson, W. Clayton [1 ]
Bocharov, Gennady [2 ]
Roose, Dirk [3 ]
Schenkel, Tim [4 ]
Meyerhans, Andreas [5 ]
机构
[1] N Carolina State Univ, Ctr Res Sci Computat, Ctr Quantitat Sci Biomed, Raleigh, NC 27695 USA
[2] RAS, Inst Numer Math, Moscow 117901, Russia
[3] Katholieke Univ, Dept Comp Sci, Lueven, Belgium
[4] Univ Saarland, Dept Virol, D-6650 Homburg, Germany
[5] Univ Pompeu Fabra, Dept Expt & Hlth Sci, Barcelona 08003, Spain
基金
俄罗斯基础研究基金会;
关键词
Cell proliferation; CFSE; Label structured population dynamics; Partial differential equations; Inverse problems; LYMPHOCYTE DIVISION; MODEL; DISTRIBUTIONS; POPULATION; GROWTH; DIFFERENTIATION;
D O I
10.1007/s11538-010-9524-5
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Advances in fluorescent labeling of cells as measured by flow cytometry have allowed for quantitative studies of proliferating populations of cells. The investigations (Luzyanina et al. in J. Math. Biol. 54:57-89, 2007; J. Math. Biol., 2009; Theor. Biol. Med. Model. 4:1-26, 2007) contain a mathematical model with fluorescence intensity as a structure variable to describe the evolution in time of proliferating cells labeled by carboxyfluorescein succinimidyl ester (CFSE). Here, this model and several extensions/modifications are discussed. Suggestions for improvements are presented and analyzed with respect to statistical significance for better agreement between model solutions and experimental data. These investigations suggest that the new decay/label loss and time dependent effective proliferation and death rates do indeed provide improved fits of the model to data. Statistical models for the observed variability/noise in the data are discussed with implications for uncertainty quantification. The resulting new cell dynamics model should prove useful in proliferation assay tracking and modeling, with numerous applications in the biomedical sciences.
引用
收藏
页码:116 / 150
页数:35
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