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Analysis of variability in estimates of cell proliferation parameters for cyton-based models using CFSE-based flow cytometry data

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dc.contributor.author Banks, H. Thomas
dc.contributor.author Kapraun, Dustin F.
dc.contributor.author Link, Kathryn
dc.contributor.author Thompson, W. Clayton
dc.contributor.author Peligero Cruz, Cristina, 1986-
dc.contributor.author Argilaguet Marqués, Jordi, 1977-
dc.contributor.author Meyerhans, Andreas
dc.date.accessioned 2016-02-23T14:18:23Z
dc.date.available 2016-05-01T02:00:04Z
dc.date.issued 2015
dc.identifier.citation Banks HT, Kapraun DF, Link KG, Thompson WC, Peligero C, Argilaguet J et al. Analysis of variability in estimates of cell proliferation parameters for cyton-based models using CFSE-based flow cytometry data. Journal of Inverse and Ill-posed Problems. 2015;23(2):135-71. DOI: 10.1515/jiip-2013-0065
dc.identifier.issn 0928-0219
dc.identifier.uri http://hdl.handle.net/10230/25931
dc.description.abstract In this article we assess variability in cell proliferation dynamics observed for CD4+ and CD8+ T cells collected from two healthy donors. We review a recently developed class of models that incorporates the so-called “cyton model” for cell numbers into a conservation-based PDE model for cell population dynamics and describe a statistical model that relates CFSE-based flow cytometry data to such models. A parameter estimation scheme is summarized and then applied to a large body of data to assess experimental variability (variation in parameter estimates as identical experiments are replicated) and biological variability (differences in parameter estimates obtained for different donors and cell types) in the context of these models. Variability in the data obtained from replicated experiments is also discussed. The results of this study indicate that many of the cyton model parameters for describing cell proliferation can be reliably estimated using our approach; however, they also show that substantial changes to our mathematical model and/or experimental procedures may be required to ensure identifiability of the remaining cell proliferation parameters.
dc.description.sponsorship This research was supported in part by Grant Number NIAID R01AI071915-10 from the National Institute of Allergy and Infectious Diseases, in part by the National Science Foundation under Research Training Grant (RTG) DMS-0636590, and in part by Grant SAF2010-21336 from the Spanish Ministry of Science and Innovation
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher De Gruyter
dc.relation.ispartof Journal of Inverse and Ill-posed Problems. 2015;23(2):135-71
dc.rights © De Gruyter Published version available at http://www.degruyter.com/view/j/jiip.2015.23.issue-2/jiip-2013-0065/jiip-2013-0065.xml http://dx.doi.org/10.1515/jiip-2013-0065
dc.subject.other Cèl·lules -- Proliferació
dc.title Analysis of variability in estimates of cell proliferation parameters for cyton-based models using CFSE-based flow cytometry data
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1515/jiip-2013-0065
dc.subject.keyword Cell proliferation
dc.subject.keyword Flow cytometry
dc.subject.keyword CFSE
dc.subject.keyword Partial differential equations
dc.subject.keyword Label-structured population dynamics
dc.subject.keyword Cell division number
dc.subject.keyword Inverse problems
dc.subject.keyword Variability in data
dc.subject.keyword Variability in parameter estimates
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/publishedVersion


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