首页 | 本学科首页   官方微博 | 高级检索  
   检索      


Estimation of Cell Proliferation Dynamics Using CFSE Data
Authors:H T Banks  Karyn L Sutton  W Clayton Thompson  Gennady Bocharov  Dirk Roose  Tim Schenkel  Andreas Meyerhans
Institution:1.Center for Research in Scientific Computation, Center for Quantitative Science in Biomedicine,North Carolina State University,Raleigh,USA;2.Institute of Numerical Mathematics,RAS,Moscow,Russia;3.Department of Computer Science,Katholieke Universiteit,Lueven,Belgium;4.Department of Virology,University of the Saarland,Homburg,Germany;5.Department of Experimental and Health Sciences,Universitat Pompeu Fabra,Barcelona,Spain
Abstract:Advances in fluorescent labeling of cells as measured by flow cytometry have allowed for quantitative studies of proliferating populations of cells. The investigations (Luzyanina et al. in J. Math. Biol. 54:57–89, 2007; J. Math. Biol., 2009; Theor. Biol. Med. Model. 4:1–26, 2007) contain a mathematical model with fluorescence intensity as a structure variable to describe the evolution in time of proliferating cells labeled by carboxyfluorescein succinimidyl ester (CFSE). Here, this model and several extensions/modifications are discussed. Suggestions for improvements are presented and analyzed with respect to statistical significance for better agreement between model solutions and experimental data. These investigations suggest that the new decay/label loss and time dependent effective proliferation and death rates do indeed provide improved fits of the model to data. Statistical models for the observed variability/noise in the data are discussed with implications for uncertainty quantification. The resulting new cell dynamics model should prove useful in proliferation assay tracking and modeling, with numerous applications in the biomedical sciences.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号