High-resolution microscopy image

Coscia Lab

Spatial Proteomics


The systematic analysis of proteins in space and time, the building blocks of life that dictate health and disease, is key to our molecular understanding of severe diseases, such as cancer. Tumors are comprised of multiple cell types and phenotypic cellular states, which are often spatially organized in the complex tissue microenvironment. Studying these diverse cell types and their dynamic interplay on a global, quantitative and unbiased scale, requires novel multimodal concepts.

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.


Fabian Coscia
Dr. Fabian Coscia
Group Leader


Max Delbrück Center for Molecular Medicine (MDC)
Robert-Rössle-Str. 10
13092 Berlin, Germany
House: 31.2
Room 0221
Phone: 030/9406-2532