ArticleBiology direct2010
An age-dependent branching process model for the analysis of CFSE-labeling experiments.
Article in Biology direct, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Probabilistic modeling of cell cycle dynamics in response to cell cycle targeting chemotherapy drugs to guide treatment strategies.PLoS computational biology · 2025Article
- A comprehensive review of computational cell cycle models in guiding cancer treatment strategies.NPJ systems biology and applications · 2024Review
- Cyton2: A Model of Immune Cell Population Dynamics That Includes Familial Instructional Inheritance.Frontiers in bioinformatics · 2021Article
- Early exposure to broadly neutralizing antibodies may trigger a dynamical switch from progressive disease to lasting control of SHIV infection.PLoS computational biology · 2020Article
- Nongenetic origins of cell-to-cell variability in B lymphocyte proliferation.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Estimates and impact of lymphocyte division parameters from CFSE data using mathematical modelling.PloS one · 2017Article
- Stochastic modeling of stress erythropoiesis using a two-type age-dependent branching process with immigration.Journal of mathematical biology · 2015Article
- A multi-scale approach reveals that NF-κB cRel enforces a B-cell decision to divide.Molecular systems biology · 2015Article
- A Stochastic Model for CD4+ T Cell Proliferation and Dissemination Network in Primary Immune Response.PloS one · 2015Article
- CD4(+) T Cell Priming as Biomarker to Study Immune Response to Preventive Vaccines.Frontiers in immunology · 2013Review
- Asymmetry of Cell Division in CFSE-Based Lymphocyte Proliferation Analysis.Frontiers in immunology · 2013Review
- Quantifying T lymphocyte turnover.Journal of theoretical biology · 2013Article
- A mechanistic model for bromodeoxyuridine dilution naturally explains labelling data of self-renewing T cell populations.Journal of the Royal Society, Interface · 2013Article
- Article
- A novel statistical analysis and interpretation of flow cytometry data.Journal of biological dynamics · 2013Article
- FlowMax: A Computational Tool for Maximum Likelihood Deconvolution of CFSE Time Courses.PloS one · 2013Article
- A new model for the estimation of cell proliferation dynamics using CFSE data.Journal of immunological methods · 2011Article
- Quasi- and pseudo-maximum likelihood estimators for discretely observed continuous-time Markov branching processes.Journal of statistical planning and inference · 2011Article
- Two-Type Age-Dependent Branching Processes with Inhomogeneous Immigration as Models of Renewing Cell Populations.Pliska. Pliiska · 2011Article
- Mathematical and experimental approaches to identify and predict the effects of chemotherapy on neuroglial precursors.Cancer research · 2010Article
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3 authors.
Funding
Abstract
backgroundOver the past decade, flow cytometric CFSE-labeling experiments have gained considerable popularity among experimentalists, especially immunologists and hematologists, for studying the processes of cell proliferation and cell death. Several mathematical models have been presented in the literature to describe cell kinetics during these experiments.
resultsWe propose a multi-type age-dependent branching process to model the temporal development of populations of cells subject to division and death during CFSE-labeling experiments. We discuss practical implementation of the proposed model; we investigate a competing risk version of the process; and we identify the classes of cellular dependencies that may influence the expectation of the process and those that do not. An application is presented where we study the proliferation of human CD8+ T lymphocytes using our model and a competing risk branching process.
conclusionsThe proposed model offers a widely applicable approach to the analysis of CFSE-labeling experiments. The model fitted very well our experimental data. It provided reasonable estimates of cell kinetics parameters as well as meaningful insights into the processes of cell division and cell death. In contrast, the competing risk branching process could not describe the kinetics of CD8+ T cells. This suggested that the decision of cell division or cell death may be made early in the cell cycle if not in preceding generations. Also, we show that analyses based on the proposed model are robust with respect to cross-sectional dependencies and to dependencies between fates of linearly filiated cells. REVIEWERS: This article was reviewed by Marek Kimmel, Wai-Yuan Tan and Peter Olofsson.
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