Danuser Lab

Different Places, Different Shapes

Different Places, Different Shapes

Segal et al. determine environmental cell shape adaptation of human Ewing sarcoma xenografts in zebrafish embryos.

Cell shape mediates RAS oncogenic signaling

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

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.

Deep learning classifiers

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.

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Danuser Lab would like to hear from graduate students and postdocs who are self-driven.

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