Different Places, Different Shapes
Segal et al. determine environmental cell shape adaptation of human Ewing sarcoma xenografts in zebrafish embryos.
Mixed Signals Driving Oncogenesis: Clues from Cell Morphology
Dr. Gabriel Muhire Gihana awarded the highly competitive HHMI Hanna Gray Fellowship to study how cell shape mediates RAS oncogenic signaling.
Causal inference when perturbations fail
Noh, Isogai et al publish an integrated statistical and experimental pipeline to determine the causal structure of molecular circuitry with significant redundancy and nonlinear interactions among components.
What exactly does a Deep Learner learn?
Assaf Zaritsky, Andrew Jamieson, based on experiments by Erik Welf and Andres Nevarez, propose a mechanism for interpreting complex cell image features driving Deep learning classifiers.
Park, Burckhardt et al. describe a mechanism through which cells modulate their glucose metabolism based on their mechanical surroundings.
Measuring and modeling non-genetic mechanisms of cancer metastasis and drug resistance
The Danuser lab develops computer vision methods and mathematical models in combination with live cell imaging approaches to unveil non-genetic mechanisms of cancer metastasis and drug resistance.
Specialty areas: Computer Vision, Computational Biology, Live Cell Imaging
Principal Investigators: Gaudenz Danuser, Ph.D., Jungsik Noh, Ph.D.
Meet the Team
Learn more about our lab members contributing to our pivotal research.See Lab Members & Alumni
Join Our Lab
Danuser Lab would like to hear from graduate students and postdocs who are self-driven.Explore Opportunities