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Life is inherently dynamic, and understanding the dynamics of signaling transduction at the single-cell level has the potential to reveal how cells control their behaviors and fates, how cells self-organize in tissues and what goes wrong in cancer.
Canine kidney cells expressing an ERK kinase activity biosensor, showing an apoptosis-triggered ERK wave
Colorectal cancer organoid with nuclei color-coded for ERK kinase activity, with apoptosis annotation (blue crosses), and collective events (polygons)
Single-cell time trajectories of ERK and geminin (live-cell cycle reporter)
CODEX, a machine learning approach to explore the heterogeneity of single-cell signaling dynamics in WT and KRAS-mutated MCF10A cells
Grants:
2026-2030 AIRC Investigator grant 2025 đź”—
Collaborators:
Prof. Olivier Pertz, University of Bern, Switzerland
Dr. Maciej Dobrzyński, University of Bern, Switzerland
Prof. Luca Primo, Candiolo Cancer Institute, Candiolo, Italy
Dr. Sara Sommariva, University of Genoa, Italy
Prof. Andy Cohen, Drexel University, USA
Prof. Chiara Ambrogio, University of Torino, Italy
Prof. Massimo Salvi, Politecnico di Torino, Italy
Dr. Benedikt Prifling, Ulm University, Germany
Prof. Tomek Lipniacki, Polish Academy of Sciences, Poland
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