STREAMING LINK: https://iu.zoom.us/j/902728309
Tissue biology is a complex, multiscale systems problem, involving multiple cell types living and communicating in a 3-D biochemical and biophysical tissue microenvironment. Cells sample the tissue microenvironment and pass these signals through genetic, protein and other signaling networks to make behavioral “decisions” on growth, metabolism, division, mechanics, motility, and death. Moreover, cells can remodel the tissue microenvironment and secrete chemical signals, allowing them to coordinate their behavior. In cancer, tumor cells co-opt these dynamics. They alter their individual responses to the microenvironment in favor of proliferation and motility, and they encourage “normal” stromal cells to assist them. Cancer therapies perturb these interaction networks, in an attempt to reduce or eliminate the cancer cell population. However, these well-intended cell-level interventions often lead to undesired systems-level effects, such as therapeutic resistance, increased tissue invasion, and side effects. In this talk, we will explore mathematical and computational models that investigate these cancer systems dynamics. We will also highlight opportunities for network science methods to improve our analysis and understanding of these mathematical models and the underlying cancer systems biology.
Join from PC, Mac, Linux, iOS or Android: https://iu.zoom.us/j/902728309
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Meeting ID: 902 728 309
International numbers available: https://iu.zoom.us/zoomconference?m=6TqVylDC2mIiBNqFCjWp189WBxAGRxXl