A new model to simulate and analyze proliferating cell populations in BrdU labeling experiments View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-08-12

AUTHORS

Daniella Schittler, Frank Allgöwer, Rob J De Boer

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.We employ our model to study some naturally arising examples of heterogeneity in label uptake, which are not covered by existing models. With simulations of noisy and spacially heterogeneous label uptake, we demonstrate that our model contributes a more realistic quantitative description of labeling experiments.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. More... »

PAGES

s4

References to SciGraph publications

  • 2012-10-20. Analysis and Simulation of Division- and Label-Structured Population Models in BULLETIN OF MATHEMATICAL BIOLOGY
  • 2001-09-17. Functional antigen-independent synapses formed between T cells and dendritic cells in NATURE IMMUNOLOGY
  • 2011-03-23. The Role of Space in the Exploitation of Resources in BULLETIN OF MATHEMATICAL BIOLOGY
  • 2006-05-16. Estimating Lymphocyte Division and Death Rates from CFSE Data in BULLETIN OF MATHEMATICAL BIOLOGY
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    http://scigraph.springernature.com/pub.10.1186/1752-0509-7-s1-s4

    DOI

    http://dx.doi.org/10.1186/1752-0509-7-s1-s4

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1017780853

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/24268033


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