Quantifying cell turnover using CFSE data

被引:63
作者
Ganusov, VV [1 ]
Pilyugin, SS
de Boer, RJ
Murali-Krishna, K
Ahmed, R
Antia, R
机构
[1] Emory Univ, Dept Biol, Atlanta, GA 30332 USA
[2] Univ Florida, Dept Math, Gainesville, FL 32611 USA
[3] Univ Utrecht, NL-3584 CH Utrecht, Netherlands
[4] Univ Washington, Dept Immunol, Seattle, WA 98195 USA
[5] Emory Univ, Dept Microbiol & Immunol, Atlanta, GA 30332 USA
关键词
CFSE; cell turnover; cell cycle; Smith-Martin model; parameter estimation; nonlinear regression; linear regression; Gett-Hodgkin method; average division time; death rate;
D O I
10.1016/j.jim.2005.01.011
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The CFSE dye dilution assay is widely used to determine the number of divisions a given CFSE labelled cell has undergone in vitro and in vivo. In this paper, we consider how the data obtained with the use of CFSE (CFSE data) can be used to estimate the parameters determining cell division and death. For a homogeneous cell population (i.e., a population with the parameters for cell division and death being independent of time and the number of divisions cells have undergone), we consider a specific biologically based "Smith-Martin" model of cell turnover and analyze three different techniques for estimation of its parameters: direct fitting, indirect fitting and resealing method. We find that using only CFSE data, the duration of the division phase (i.e., approximately the S+G(2)+M phase of the cell cycle) can be estimated with the use of either technique. In some cases, the average division or cell cycle time can be estimated using the direct fitting of the model solution to the data or by using the Gett-Hodgkin method [Gett A. and Hodgkin, P. 2000. A cellular calculus for signal integration by T cells. Nat. Immunol. 1:239-244]. Estimation of the death rates during commitment to division (i.e., approximately the G, phase of the cell cycle) and during the division phase may not be feasible with the use of only CFSE data. We propose that measuring an additional parameter, the fraction of cells in division, may allow estimation of all model parameters including the death rates during different stages of the cell cycle. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:183 / 200
页数:18
相关论文
共 39 条
[1]   An introduction to lymphocyte and viral dynamics: the power and limitations of mathematical analysis [J].
Asquith, B ;
Bangham, CRM .
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2003, 270 (1525) :1651-1657
[2]   Lymphocyte kinetics: the interpretation of labelling data [J].
Asquith, B ;
Debacq, C ;
Macallan, DC ;
Willems, L ;
Bangham, CRM .
TRENDS IN IMMUNOLOGY, 2002, 23 (12) :596-601
[3]  
Bellman R., 1963, DIFFERENTIAL DIFFERE
[4]   Analysis of cell kinetics using a cell division marker: Mathematical modeling of experimental data [J].
Bernard, S ;
Pujo-Menjouet, L ;
Mackey, MC .
BIOPHYSICAL JOURNAL, 2003, 84 (05) :3414-3424
[5]   Estimating the precursor frequency of naive antigen-specific CD8 T cells [J].
Blattman, JN ;
Antia, R ;
Sourdive, DJD ;
Wang, XC ;
Kaech, SM ;
Murali-Krishna, K ;
Altman, JD ;
Ahmed, R .
JOURNAL OF EXPERIMENTAL MEDICINE, 2002, 195 (05) :657-664
[6]   FLOW CYTOMETRIC CELL-CYCLE ANALYSIS USING THE QUENCHING OF 33258 HOECHST FLUORESCENCE BY BROMODEOXYURIDINE INCORPORATION [J].
BOHMER, RM .
CELL AND TISSUE KINETICS, 1979, 12 (01) :101-110
[7]   Quantification of cell turnover kinetics using 5-bromo-2′-deoxyuridine [J].
Bonhoeffer, S ;
Mohri, H ;
Ho, D ;
Perelson, AS .
JOURNAL OF IMMUNOLOGY, 2000, 164 (10) :5049-5054
[8]   MAMMALIAN-CELL CYCLES NEED 2 RANDOM TRANSITIONS [J].
BROOKS, RF ;
BENNETT, DC ;
SMITH, JA .
CELL, 1980, 19 (02) :493-504
[9]  
BROOKS RF, 1980, J CELL SCI, V90, P601
[10]   ON EXISTENCE OF A G0-PHASE IN CELL CYCLE [J].
BURNS, FJ ;
TANNOCK, IF .
CELL AND TISSUE KINETICS, 1970, 3 (04) :321-&