ArticleJournal of immunological methods2011
A new model for the estimation of cell proliferation dynamics using CFSE data.
Article in Journal of immunological methods, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Integration of quantitative methods and mathematical approaches for the modeling of cancer cell proliferation dynamics.American journal of physiology. Cell physiology · 2023Review
- Hydroxytyrosol Inhibits MDSCs and Promotes M1 Macrophages in Mice With Orthotopic Pancreatic Tumor.Frontiers in pharmacology · 2021Article
- Prediction of PD-L1 inhibition effects for HIV-infected individuals.PLoS computational biology · 2019Article
- BA71ΔCD2: a New Recombinant Live Attenuated African Swine Fever Virus with Cross-Protective Capabilities.Journal of virology · 2017Article
- Estimates and impact of lymphocyte division parameters from CFSE data using mathematical modelling.PloS one · 2017Article
- Live attenuated African swine fever viruses as ideal tools to dissect the mechanisms involved in viral pathogenesis and immune protection.Veterinary research · 2015Article
- Mathematical models for CFSE labelled lymphocyte dynamics: asymmetry and time-lag in division.Journal of mathematical biology · 2014Article
- Simultaneous analysis of p53 protein expression and cell proliferation in irradiated human lymphocytes by flow cytometry.Dose-response : a publication of International Hormesis Society · 2014Article
- A structured population modeling framework for quantifying and predicting gene expression noise in flow cytometry data.Applied mathematics letters · 2013Article
- Quantifying T lymphocyte turnover.Journal of theoretical biology · 2013Article
- Quantifying CFSE Label Decay in Flow Cytometry Data.Applied mathematics letters · 2013Article
- A mechanistic model for bromodeoxyuridine dilution naturally explains labelling data of self-renewing T cell populations.Journal of the Royal Society, Interface · 2013Article
- 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
- The contribution of age structure to cell population responses to targeted therapeutics.Journal of theoretical biology · 2012Article
- A new model for the estimation of cell proliferation dynamics using CFSE data.Journal of immunological methods · 2011Article
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10 authors.
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Abstract
CFSE analysis of a proliferating cell population is a popular tool for the study of cell division and divisionlinked changes in cell behavior. Recently Banks et al. (2011), Luzyanina et al. (2009), Luzyanina et al. (2007), a partial differential equation (PDE) model to describe lymphocyte dynamics in a CFSE proliferation assay was proposed. We present a significant revision of this model which improves the physiological understanding of several parameters. Namely, the parameter used previously as a heuristic explanation for the dilution of CFSE dye by cell division is replaced with a more physical component, cellular autofluorescence. The rate at which label decays is also quantified using a Gompertz decay process. We then demonstrate a revised method of fitting the model to the commonly used histogram representation of the data. It is shown that these improvements result in a model with a strong physiological basis which is fully capable of replicating the behavior observed in the data.
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