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

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dc.contributor.author Banks, H. Thomas
dc.contributor.author Sutton, Karyn L.
dc.contributor.author Thompson, W. Clayton
dc.contributor.author Bocharov, Gennady A.
dc.contributor.author Doumic, Marie
dc.contributor.author Schenkel, Tim
dc.contributor.author Argilaguet Marqués, Jordi, 1977-
dc.contributor.author Giest, Sandra
dc.contributor.author Peligero Cruz, Cristina, 1986-
dc.contributor.author Meyerhans, Andreas
dc.date.accessioned 2019-02-12T08:50:15Z
dc.date.available 2019-02-12T08:50:15Z
dc.date.issued 2011
dc.identifier.citation Banks HT, Sutton KL, Thompson WC, Bocharov G, Doumic M, Schenkel T et al. A new model for the estimation of cell proliferation dynamics using CFSE data. J Immunol Methods. 2011;373(1-2):143-60. DOI 10.1016/j.jim.2011.08.014
dc.identifier.issn 0022-1759
dc.identifier.uri http://hdl.handle.net/10230/36555
dc.description.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.
dc.description.sponsorship This research was supported in part by the National Institute of Allergy and Infectious Disease under grant NIAID 9R01AI071915, in part by the U.S. Air Force Office of Scientific Research under grant AFOSR-FA9550-09-1-0226, in part by the Russian Foundation for Basic Research (Grant 11-01-00117), in part by the Program of the Russian Academy of Sciences Basic Research for Medicine, in part by the Agence Nationale de la Recherche, Grant No. ANR-09-BLAN-0218 TOPPAZ, in part by the Deutsche Forschungsgemeinschaft and in part by grant SAF2010-21336 from the Spanish Ministry of Science and Innovation. The authors are also grateful to referees for constructive comments and suggestions for improvements in this manuscript.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.relation.ispartof Journal of Immunological Methods. 2011;373(1-2):143-60
dc.rights © Elsevier http://dx.doi.org/10.1016/j.jim.2011.08.014
dc.title A new model for the estimation of cell proliferation dynamics using CFSE data
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1016/j.jim.2011.08.014
dc.subject.keyword Cell proliferation
dc.subject.keyword Cell division number
dc.subject.keyword CFSE
dc.subject.keyword Label structured population dynamics
dc.subject.keyword Partial differential equations
dc.subject.keyword Inverse problems
dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/SAF2010-21336
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion


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