Bodenmiller Lab: Spatial Cancer Systems Biology

The overall aim of our research is to accurately determine the cell types and states in solid tumors and to map spatially resolved cellular networks. We want to understand how cell-cell communication changes the information processing and ultimately affects tumor development and treatment. For that purpose, we are developing novel experimental and computational approaches that allow for highly multiplexed, spatially resolved, comprehensive single cell network analysis in cells in a tissue or tumor. In our most recent publication, we show how mass cytometry enables the simultaneous imaging of 32 proteins and protein modifications at subcellular resolution in breast cancer tissues. Besides mass cytometry imaging, we also use systematic perturbation experiments and model systems of cancer to study how signaling networks contribute to different aspects of cancer biology.

Principal Investigator

Bernd Bodenmiller


University of Zurich, Zurich, Switzerland


Latest Cytobank Reports

CellCycleTRACER accounts for cell cycle and volume in mass cytometry data
Maria Anna Rapsomaniki, Xiao-Kang Lun, Stefan Woerner, Marco Laumanns, Bernd Bodenmiller, and María Rodríguez Martínez
Nature Communications, February 2018

An immune atlas of clear cell renal cell carcinoma
Stéphane Chevrier, Jacob Levine, Vito Zanotelli, Karina Silina, Daniel Schulz, Marina Bacac, Carola Ries, Laurie Ailles, Michael A.S. Jewett, Holger Moch, Maries van den Broek, Christian Beisel, Michael B. Stadler, Craig Gedye, Bernhard Reis, Dana Pe’er, and Bernd Bodenmiller
Cell, May 2017

Influence of node abundance on signaling network state and dynamics analyzed by mass cytometry
Xiao-Kang Lun, Vito R T Zanotelli, James D Wade, Denis Schapiro, Marco Tognetti, Nadine Dobberstein & Bernd Bodenmiller
Nature Biotechnology, January 2017