ArticleBMC systems biology2013
A new model to simulate and analyze proliferating cell populations in BrdU labeling experiments.
Article in BMC systems biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- An integrative phenotype-structured partial differential equation model for the population dynamics of epithelial-mesenchymal transition.NPJ systems biology and applications · 2025Article
- The dynamics and longevity of circulating CD4+ memory T cells depend on cell age and not the chronological age of the host.PLoS biology · 2024Article
- The dynamics and longevity of circulating CD4bioRxiv : the preprint server for biology · 2024Article
- Profiling specific cell populations within the inflammatory tumor microenvironment by oscillating-gradient diffusion-weighted MRI.Journal for immunotherapy of cancer · 2023Article
- Evidence for postnatal neurogenesis in the human amygdala.Communications biology · 2022Article
- Estimation methods for heterogeneous cell population models in systems biology.Journal of the Royal Society, Interface · 2018Review
- Temporal fate mapping reveals age-linked heterogeneity in naive T lymphocytes in mice.Proceedings of the National Academy of Sciences of the United States of America · 2015Article
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3 authors.
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Abstract
backgroundThis paper presents a novel model for proliferating cell populations in labeling experiments. It is especially tailored to the technique of Bromodeoxyuridine (BrdU), which is taken up by dividing cells and thus accumulates with increasing division number during uplabeling. The study of the evolving label intensities of BrdU labeled cell populations is aimed at quantifying proliferation properties such as division and death rates.
resultsIn contrast to existing models, our model considers a labeling efficacy that follows a distribution, rather than a uniform value. It thereby allows to account for noise as well as possibly space-dependent heterogeneity in the effective label uptake of the individual cells in a population. Furthermore, it enables more informative comparison with experimental data: The population-level label distribution is provided as a model output, thereby increasing the information content compared to existing models that give the fraction of labeled cells or the mean label intensity.
conclusionThe presented model is to our knowledge the first one that predicts the full label distribution for BrdU labeling experiments. Thus, it can exploit more information, namely the full intensity distribution, from labeling measurements, and thereby opens up new quantitative insights into cell proliferation.
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