Estimating lymphocyte division and death rates from CFSE data

DOI10.1007/s11538-006-9094-8zbMath1334.92112OpenAlexW2104205011WikidataQ28251322 ScholiaQ28251322MaRDI QIDQ263654

Rob J. de Boer, Alan S. Perelson, Dejan Milutinović, Vitaly V. Ganusov, Philip D. Hodgkin

Publication date: 5 April 2016

Published in: Bulletin of Mathematical Biology (Search for Journal in Brave)

Full work available at URL: https://dspace.library.uu.nl/handle/1874/22578

zbMATH Keywords

cell death ratecell division rateCFSEIL-2lymphocyte dynamics

Mathematics Subject Classification ID

Cell biology (92C37)

Related Items (18)

Foreword to the special issue: A tribute to Lee Segel ⋮ Modeling HIV persistence, the latent reservoir, and viral blips ⋮ Predicting pathogen-specific CD8 T cell immune responses from a modeling approach ⋮ Multi-type branching models to describe cell differentiation programs ⋮ A mathematical model of combined \textit{bacillus Calmette-Guerin} (BCG) and interleukin (IL)-2 immunotherapy of superficial bladder cancer ⋮ Mathematical determination of cell population doubling times for multiple cell lines ⋮ Demographic modeling of transient amplifying cell population growth ⋮ Analysis and simulation of division- and label-structured population models. A new tool to analyze proliferation assays. ⋮ Evaluation of multitype mathematical models for CFSE-labeling experiment data ⋮ Modeling T cell proliferation and death in vitro based on labeling data: generalizations of the Smith-Martin cell cycle model ⋮ Estimation of cell proliferation dynamics using CFSE data ⋮ Model with two types of CTL regulation and experiments on CTL dynamics ⋮ Parameter identification for model of T cell proliferation in lymphopenia conditions ⋮ A novel statistical analysis and interpretation of flow cytometry data ⋮ Dependence of CD8 T cell response upon antigen load during primary infection. ⋮ Quantifying T lymphocyte turnover ⋮ Interpreting CFSE obtained division histories of B cells in vitro with Smith-Martin and cyton type models ⋮ Parameters identification for a model of T cell homeostasis

Cites Work

• Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy
• On the formulation and analysis of general deterministic structured population models. II. Nonlinear theory
• Estimating division and death rates from CFSE data

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