Zamboni Group
Our lab is interested in cellular metabolism, how it drives cellular decisions and differentiation, and how it sustains pathological states in disease.
To address these questions, we develop and apply advanced techniques to monitor the activity of metabolic networks. Our approaches build largely on mass spectrometry (i.e. high-throughput and quantitative metabolomics, tracer studies, dynamic experiments) and computational analysis for data processing, mining, and integration. In particular, we strive to develop generally applicable, data-driven methods that can cope with the complexity of mammalian cells or dynamic systems.
Our toolbox is applied broadly on very different systems (microbes, worms, cell lines, mice, primary human cells and tissues, etc.) through a large network of collaborators in Academia and Industry. Read more
We host the PHRT Center for Clinical Metabolomics and Lipidomics and are involved in multiple National and local projects on personalized health.
Quick links:
Blog
external page On the benefits and role of electron-induced dissociation in lipidomics
external page Why do we prefer TOFs over Orbitraps for flow injection analysis?
external page All-inclusive, turnkey processing for untargeted LC-MS
external page MSNovelist:The journey towards de novo structure elucidation
Mass Spectrometry in the Life Sciences Award 2024 to Nicola Zamboni
The prize by the German Society of Mass Spectrometry (DGMS) honors outstanding method developments in and applications of mass spectrometry in the life sciences.
Sauer Zamboni group achieves LEAF sustainability certification!
The group was one of 19 labs across ETH Zurich to be certified in the LEAF pilot project.
Congratulations to Stephan Durot for passing his PhD defense
Stephan's thesis pivots on the integrated analysis of endothelial cells from different vascular beds.
Adriano Rutz wins the Gold Trophy of the National ORD Prize 2023! Well done!
The prize is awarded by the Swiss Academies of Arts and Sciences in recognition of innovative and impactful practices in the field of Open Research Data (ORD).
Tomek Diederen defends his PhD Thesis
We congratulate Tomek for successfully defending his thesis on "Simulation-based metabolic flux inference" which, by his own words, all boils down to clouds vs. points. Well done!