Literature DB >> 21889510

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

H T Banks1, Karyn L Sutton, W Clayton Thompson, Gennady Bocharov, Marie Doumic, Tim Schenkel, Jordi Argilaguet, Sandra Giest, Cristina Peligero, Andreas Meyerhans.   

Abstract

CFSE analysis of a proliferating cell population is a popular tool for the study of cell division and divisionlinked changes in cell behavior. Recently Banks et al. (2011), Luzyanina et al. (2009), Luzyanina et al. (2007), a partial differential equation (PDE) model to describe lymphocyte dynamics in a CFSE proliferation assay was proposed. We present a significant revision of this model which improves the physiological understanding of several parameters. Namely, the parameter used previously as a heuristic explanation for the dilution of CFSE dye by cell division is replaced with a more physical component, cellular autofluorescence. The rate at which label decays is also quantified using a Gompertz decay process. We then demonstrate a revised method of fitting the model to the commonly used histogram representation of the data. It is shown that these improvements result in a model with a strong physiological basis which is fully capable of replicating the behavior observed in the data.
Copyright © 2011 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21889510      PMCID: PMC3196292          DOI: 10.1016/j.jim.2011.08.014

Source DB:  PubMed          Journal:  J Immunol Methods        ISSN: 0022-1759            Impact factor:   2.303


  44 in total

Review 1.  Fluorescent dyes for lymphocyte migration and proliferation studies.

Authors:  C R Parish
Journal:  Immunol Cell Biol       Date:  1999-12       Impact factor: 5.126

Review 2.  Analysis of growth kinetics by division tracking.

Authors:  R E Nordon; M Nakamura; C Ramirez; R Odell
Journal:  Immunol Cell Biol       Date:  1999-12       Impact factor: 5.126

3.  Flow cytometric analysis of cell division history using dilution of carboxyfluorescein diacetate succinimidyl ester, a stably integrated fluorescent probe.

Authors:  A B Lyons; J Hasbold; P D Hodgkin
Journal:  Methods Cell Biol       Date:  2001       Impact factor: 1.441

4.  A cellular calculus for signal integration by T cells.

Authors:  A V Gett; P D Hodgkin
Journal:  Nat Immunol       Date:  2000-09       Impact factor: 25.606

5.  Label Structured Cell Proliferation Models.

Authors:  H T Banks; Frédérique Charles; Marie Doumic Jauffret; Karyn L Sutton; W Clayton Thompson
Journal:  Appl Math Lett       Date:  2010-12-01       Impact factor: 4.055

6.  A model of immune regulation as a consequence of randomized lymphocyte division and death times.

Authors:  E D Hawkins; M L Turner; M R Dowling; C van Gend; P D Hodgkin
Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-14       Impact factor: 11.205

Review 7.  Toward a multiscale model of antigen presentation in immunity.

Authors:  Denise E Kirschner; Stewart T Chang; Thomas W Riggs; Nicolas Perry; Jennifer J Linderman
Journal:  Immunol Rev       Date:  2007-04       Impact factor: 12.988

8.  Advanced application of CFSE for cellular tracking.

Authors:  Jacek M Witkowski
Journal:  Curr Protoc Cytom       Date:  2008-04

9.  Do cells cycle?

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

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

View more
  14 in total

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

Authors:  Tatyana Luzyanina; Jovana Cupovic; Burkhard Ludewig; Gennady Bocharov
Journal:  J Math Biol       Date:  2013-12-13       Impact factor: 2.259

2.  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

3.  A structured population modeling framework for quantifying and predicting gene expression noise in flow cytometry data.

Authors:  Kevin B Flores
Journal:  Appl Math Lett       Date:  2013-07       Impact factor: 4.055

4.  A mechanistic model for bromodeoxyuridine dilution naturally explains labelling data of self-renewing T cell populations.

Authors:  Vitaly V Ganusov; Rob J De Boer
Journal:  J R Soc Interface       Date:  2012-11-08       Impact factor: 4.118

5.  Simultaneous analysis of p53 protein expression and cell proliferation in irradiated human lymphocytes by flow cytometry.

Authors:  Rafael de Freitas E Silva; Neyliane Frassinetti Gonçalves Dos Santos; Valéria Rěgo Alves Pereira; Ademir Amaral
Journal:  Dose Response       Date:  2013-08-27       Impact factor: 2.658

6.  Quantifying CFSE Label Decay in Flow Cytometry Data.

Authors:  H T Banks; A Choi; T Huffman; J Nardini; L Poag; W C Thompson
Journal:  Appl Math Lett       Date:  2013-01-03       Impact factor: 4.055

7.  Quantifying T lymphocyte turnover.

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

9.  FlowMax: A Computational Tool for Maximum Likelihood Deconvolution of CFSE Time Courses.

Authors:  Maxim Nikolaievich Shokhirev; Alexander Hoffmann
Journal:  PLoS One       Date:  2013-06-27       Impact factor: 3.240

10.  Live attenuated African swine fever viruses as ideal tools to dissect the mechanisms involved in viral pathogenesis and immune protection.

Authors:  Anna Lacasta; Paula L Monteagudo; Ángeles Jiménez-Marín; Francesc Accensi; María Ballester; Jordi Argilaguet; Iván Galindo-Cardiel; Joaquim Segalés; María L Salas; Javier Domínguez; Ángela Moreno; Juan J Garrido; Fernando Rodríguez
Journal:  Vet Res       Date:  2015-11-20       Impact factor: 3.683

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.