Our translational research group develops and applies mass spectrometry (MS) based proteomics workflows for cancer systems biology. For this purpose, we use a combination of analytical tools including multi-level proteomics (expression-, interaction- phospho-proteomics) and functional cell biology assays.
We have recently co-developed Deep Visual Proteomics, a first-of-its-kind concept that combines high-resolution imaging, AI-guided image analysis and ultra-sensitive MS-based proteomics. Applied to preclinical models and archived biobank specimens, this concept allows us to gain unprecedented insights into cellular proteome heterogeneity.
Our long-term goal is to decipher molecular and cellular disease pattern that can be used as predictive measures in precision oncology.