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 |