共 50 条
A novel statistical analysis and interpretation of flow cytometry data
被引:10
|作者:
Banks, H. T.
[1
,2
]
Kapraun, D. F.
[1
,2
]
Thompson, W. Clayton
[1
,2
]
Peligero, Cristina
[3
]
Argilaguet, Jordi
[3
]
Meyerhans, Andreas
[3
]
机构:
[1] N Carolina State Univ, Ctr Res Sci Computat, Raleigh, NC 27695 USA
[2] N Carolina State Univ, Ctr Quantitat Sci Biomed, Raleigh, NC 27695 USA
[3] Univ Pompeu Fabra, Dept Expt & Hlth Sci, ICREA Infect Biol Lab, Barcelona 08003, Spain
基金:
美国国家科学基金会;
关键词:
immunology;
flow cytometry;
cyton models;
mathematical and statistical models;
label dynamics;
parameter estimation;
cellular models;
MEASURING LYMPHOCYTE-PROLIFERATION;
IN-VITRO;
DIVISION;
MODEL;
RESPONSES;
DYNAMICS;
VIVO;
D O I:
10.1080/17513758.2013.812753
中图分类号:
Q14 [生态学(生物生态学)];
学科分类号:
071012 ;
0713 ;
摘要:
A recently developed class of models incorporating the cyton model of population generation structure into a conservation-based model of intracellular label dynamics is reviewed. Statistical aspects of the data collection process are quantified and incorporated into a parameter estimation scheme. This scheme is then applied to experimental data for PHA-stimulated CD4+T and CD8+T cells collected from two healthy donors. This novel mathematical and statistical framework is shown to form the basis for accurate, meaningful analysis of cellular behaviour for a population of cells labelled with the dye carboxyfluorescein succinimidyl ester and stimulated to divide.
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页码:96 / 132
页数:37
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