Literature DB >> 24337680

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

Tatyana Luzyanina1, Jovana Cupovic, Burkhard Ludewig, Gennady Bocharov.   

Abstract

Since their invention in 1994, fluorescent dyes such as carboxyfluorescein diacetate succinimidyl ester (CFSE) are used for cell proliferation analysis in flow cytometry. Importantly, the interpretation of such assays relies on the assumption that the label is divided equally between the daughter cells upon cell division. However, recent experimental studies indicate that division of cells is not perfectly symmetric and there is unequal distribution of protein between sister cell pairs. The uneven partition of protein or mass to daughter cells can lead to an overlap in the generations of CFSE-labelled cells with straightforward consequences for the resolution of individual generations. Numerous mathematical models developed so far for the analysis of CFSE proliferation assay incorporate the premise that the CFSE fluorescence intensity is halved in the two daughter cells. Here, we propose a novel modelling approach for the analysis of the CFSE cell proliferation assays which are characterized by poorly resolved peaks of cell generations in flow cytometric histograms. We formulate a mathematical model in the form of a system of delay hyperbolic partial differential equations which provides a good agreement with the CFSE histograms time-series data and allows an analytical treatment. The model is a further generalization of the recently proposed class of division- and label-structured models as it considers an asymmetric cell division. In addition, the basic structure of the cell cycle, i.e. the resting and cycling cell compartments, is taken into account. The model is used to estimate fundamental parameters such as activation rate, duration of the cell cycle, apoptosis rate, CFSE decay rate and asymmetry factor in cell division of monoclonal T cells during cognate interaction with dendritic cells.

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Year:  2013        PMID: 24337680     DOI: 10.1007/s00285-013-0741-z

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  38 in total

Review 1.  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

2.  Quantifying cell turnover using CFSE data.

Authors:  Vitaly V Ganusov; Sergei S Pilyugin; Rob J de Boer; Kaja Murali-Krishna; Rafi Ahmed; Rustom Antia
Journal:  J Immunol Methods       Date:  2005-03       Impact factor: 2.303

3.  Computational analysis of CFSE proliferation assay.

Authors:  Tatyana Luzyanina; Sonja Mrusek; John T Edwards; Dirk Roose; Stephan Ehl; Gennady Bocharov
Journal:  J Math Biol       Date:  2006-11-09       Impact factor: 2.259

4.  Interpretation of cellular proliferation data: avoid the panglossian.

Authors:  Mario Roederer
Journal:  Cytometry A       Date:  2011-01-12       Impact factor: 4.355

5.  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

6.  Do cells cycle?

Authors:  J A Smith; L Martin
Journal:  Proc Natl Acad Sci U S A       Date:  1973-04       Impact factor: 11.205

Review 7.  Cytotoxic T lymphocytes for the treatment of viral infections and posttransplant lymphoproliferative disorders in transplant recipients.

Authors:  Daria Pagliara; Barbara Savoldo
Journal:  Curr Opin Infect Dis       Date:  2012-08       Impact factor: 4.915

8.  The rescaling method for quantifying the turnover of cell populations.

Authors:  Sergei S Pilyugin; Vitaly V Ganusov; Kaja Murali-Krishna; Rafi Ahmed; Rustom Antia
Journal:  J Theor Biol       Date:  2003-11-21       Impact factor: 2.691

9.  Partition of protein (mass) to sister cell pairs at mitosis: a re-evaluation.

Authors:  R Sennerstam
Journal:  J Cell Sci       Date:  1988-06       Impact factor: 5.285

10.  Numerical modelling of label-structured cell population growth using CFSE distribution data.

Authors:  Tatyana Luzyanina; Dirk Roose; Tim Schenkel; Martina Sester; Stephan Ehl; Andreas Meyerhans; Gennady Bocharov
Journal:  Theor Biol Med Model       Date:  2007-07-24       Impact factor: 2.432

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7.  Stochastic Measurement Models for Quantifying Lymphocyte Responses Using Flow Cytometry.

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Journal:  PLoS One       Date:  2016-01-07       Impact factor: 3.240

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Journal:  Front Cell Infect Microbiol       Date:  2020-01-28       Impact factor: 5.293

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