3 research outputs found

    Simulating non-small cell lung cancer with a multiscale agent-based model-2

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    <p><b>Copyright information:</b></p><p>Taken from "Simulating non-small cell lung cancer with a multiscale agent-based model"</p><p>http://www.tbiomed.com/content/4/1/50</p><p>Theoretical Biology & Medical Modelling 2007;4():50-50.</p><p>Published online 21 Dec 2007</p><p>PMCID:PMC2259313.</p><p></p>increases from 2.65 × 1.0 to 2.65 × 31.1, 2.65 × 31.2, and finally, to 2.65 × 50.0 nM. (From to ) plotted are the absolute change of PLC, rate of change of PLC, and rate of change of ERK. Note that the number of proliferations is decreasing gradually and finally disappears at a phase transition between the EGF concentrations of 2.65 × 31.1 and 2.65 × 31.2 nM. (For phenotype labeling see Fig. 4)

    Shows the multicellular patterns that emerge through rule A and rule B, respectively

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    <p><b>Copyright information:</b></p><p>Taken from "Simulating non-small cell lung cancer with a multiscale agent-based model"</p><p>http://www.tbiomed.com/content/4/1/50</p><p>Theoretical Biology & Medical Modelling 2007;4():50-50.</p><p>Published online 21 Dec 2007</p><p>PMCID:PMC2259313.</p><p></p> Describes the numeric evolution () of each cell phenotype as well as of the [total] cell population () over time () for rule A () and rule B (), respectively. Note: proliferative tumor cells are labeled in , migratory cells in , quiescent cells in and dead cells in

    Simulating non-small cell lung cancer with a multiscale agent-based model-1

    No full text
    <p><b>Copyright information:</b></p><p>Taken from "Simulating non-small cell lung cancer with a multiscale agent-based model"</p><p>http://www.tbiomed.com/content/4/1/50</p><p>Theoretical Biology & Medical Modelling 2007;4():50-50.</p><p>Published online 21 Dec 2007</p><p>PMCID:PMC2259313.</p><p></p>g the corresponding rule (see Fig. 3). The line indicates rule A-mediated migrations in , while the line denotes rule B-mediated proliferations in Fitting curves in are calculated using a standard linear least squares method. Slopes of the fitting curves are 1.40 cells/step in and 0.03 cells/step in , respectively. Note: The drop of the dashed red line in the of is caused by the termination of the simulation when a cell reached the source (in this case, no further computation on remaining cells will be performed)
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