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A Mathematical Model Quantifies Proliferation and Motility Effects of TGF‐β on Cancer Cells

Shizhen Emily WangDepartment of Cancer Biology, Vanderbilt University, Nashville, TN, USAPeter HinowInstitute for Mathematics and Its Applications, University of Minnesota, Minneapolis, MN, USANicole S. BryceDepartment of Cancer Biology, Vanderbilt University, Nashville, TN, USAAlissa M. WeaverDepartment of Cancer Biology, Vanderbilt University, Nashville, TN, USALourdes EstradaDepartment of Cancer Biology, Vanderbilt University, Nashville, TN, USACarlos L. ArteagaDepartment of Cancer Biology, Vanderbilt University, Nashville, TN, USAGlenn F. WebbDepartment of Mathematics, Vanderbilt University, Nashville, TN, USA
2008en
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Transforming growth factor (TGF)‐β is known to have properties of both a tumour suppressor and a tumour promoter. While it inhibits cell proliferation, it also increases cell motility and decreases cell–cell adhesion. Coupling mathematical modelling and experiments, we investigate the growth and motility of oncogene‐expressing human mammary epithelial cells under exposure to TGF‐β. We use a version of the well‐known Fisher–Kolmogorov equation, and prescribe a procedure for its parametrisation. We quantify the simultaneous effects of TGF‐β to increase the tendency of individual cells and cell clusters to move randomly and to decrease overall population growth. We demonstrate that in experiments with TGF‐β treated cells in vitro , TGF‐β increases cell motility by a factor of 2 and decreases cell proliferation by a factor of 1/2 in comparison with untreated cells.

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