Matrix Physicochemical Cues as Chemotherapeutic Protective Agents in Hepatocellular Carcinoma
Thuy is building a highthroughput biomaterial system in which to quantify how cancer cells respond to drugs in the presence of physiologically relevent stiffness and adhesive protein cues.
Inflammatory Feedback Loops in Cardiovascular Disease
Funding: ICE IGERT
We are investigating the ability of matrix state to trigger SMC motility and invasion via stiffness changes during atherosclerosis and the presence of infiltrating macrophages.
Stiffness Sensing as a Metastatic Indicator
Dannielle Ryman, in collaboration with Al Crosby in PSE
Funding: MRSEC Seed Award
We are working with Yuri Ebata and Yujie Liu from Al Crosby's lab in PSE to make novel substrates with unique presentation of stiffness arrays and mechanical length scales. We are visualizing how breast cancer cells of varying known metastatic capability sense and respond (namely, migration and mitosis) to these changes in stiffness.
Predicting Tissue Tropism in Metastasis
FUNDING: NSF PESO 1234852
Lauren Barney and Elyse Hartnet, in Collaboration with Nick Reich in the School of Public Health
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.
Anomalous Diffusion Methods to Predict 3D Stem Cell Motility in Porous Scaffolds
Tyler Vlass, in Collaboration with Josh Cohen at MIT and Ryan Hayward in PSE
Tyler and Josh are both outstanding undergraduates that the Peyton lab is lucky to work with. Tyler is leading experimental efforts to quantify how adult stem cells migrate in response to physical properties of 2D and 3D scaffolds. Josh works with us from MIT and is developing new computational approaches to describe and predict stem cell migration in these scaffolds.
File:MSC Peyton wordle.tiff