Peyton:Research: Difference between revisions
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== Predicting Tissue Tropism in Metastasis == | == Predicting Tissue Tropism in Metastasis == | ||
''Lauren Barney and | FUNDING: NSF PESO 1234852 | ||
''Lauren Barney and Elyse Hartnet, in Collaboration with Nick Reich in the School of Public Health''<br> | |||
Lauren is creating both 2D and 3D models of tissues that are most often recipient of breast cancer metastasis. They are quantifying how breast cancer cells migrate and invade in these diverse environments, in the hope that we can identify physical mechanisms by which breast cancer spreads. | |||
[[Image:NSF_PESO_wordle.jpg|left|300px]] | [[Image:NSF_PESO_wordle.jpg|left|300px]] |
Revision as of 14:04, 14 September 2012
Matrix Physicochemical Cues as Chemotherapeutic Protective Agents in Hepatocellular CarcinomaThuy Nguyen
Inflammatory Feedback Loops in Cardiovascular DiseaseWill Herrick
Stiffness Sensing as a Metastatic IndicatorDannielle Ryman, in collaboration with Al Crosby in PSE Predicting Tissue Tropism in MetastasisFUNDING: NSF PESO 1234852
Lauren Barney and Elyse Hartnet, in Collaboration with Nick Reich in the School of Public Health
Anomalous Diffusion Methods to Predict 3D Stem Cell Motility in Porous ScaffoldsTyler Vlass, in Collaboration with Josh Cohen at MIT and Ryan Hayward in PSE |