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    Theor Biol Med Model. 2006 May 17;3:21.

    Stochastic modeling of oligodendrocyte generation in cell culture: model validation with time-lapse data.

    Source

    Department of Biostatistics and Computational Biology, University of Rochester, 601 Elmwood Avenue, Rochester, New York 14642, USA. Ollivier_Hyrien@urmc.rochester.edu

    Abstract

    BACKGROUND:

    The purpose of this paper is two-fold. The first objective is to validate the assumptions behind a stochastic model developed earlier by these authors to describe oligodendrocyte generation in cell culture. The second is to generate time-lapse data that may help biomathematicians to build stochastic models of cell proliferation and differentiation under other experimental scenarios.

    RESULTS:

    Using time-lapse video recording it is possible to follow the individual evolutions of different cells within each clone. This experimental technique is very laborious and cannot replace model-based quantitative inference from clonal data. However, it is unrivalled in validating the structure of a stochastic model intended to describe cell proliferation and differentiation at the clonal level. In this paper, such data are reported and analyzed for oligodendrocyte precursor cells cultured in vitro.

    CONCLUSION:

    The results strongly support the validity of the most basic assumptions underpinning the previously proposed model of oligodendrocyte development in cell culture. However, there are some discrepancies; the most important is that the contribution of progenitor cell death to cell kinetics in this experimental system has been underestimated.

    PMID:
    16707014
    [PubMed - indexed for MEDLINE]
    PMCID: PMC1481529
    Free PMC Article

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