Prof. Dr. Julia Groß
Professor of Biochemistry
Department of Medicine
HMU Health and Medical University Potsdam
Olympischer Weg 1, D-14471 Potsdam; Germany
ORCID
University Links:
https://www.hmu-potsdam.de
https://www.extracellular-signaling-lab.de/
Short CV
Julia Groß is Full Professor of Biochemistry and Prorector for Research at the HMU Health and Medical University Potsdam. She obtained her PhD from the Goethe University Frankfurt a.M., conducted postdoctoral research at the German Cancer Research Center in Heidelberg University, and established her independent group at the University Medical Center Göttingen.
Her research explores how cells communicate through molecular transport and extracellular vesicle (EV) secretion. She investigates the dynamic interplay of motor proteins, adaptor complexes, and small GTPases that coordinate the trafficking of multivesicular bodies (MVBs) and the selective release of signaling cargo. A particular focus lies on Wnt signaling via EVs, a pathway that links membrane trafficking to morphogen distribution and developmental patterning. Using a combination of cell biological, biochemical, and imaging-based approaches, her group dissects the molecular logistics of EV biogenesis and secretion. In translational projects, she studies EV-based biomarkers in metabolic and tumor diseases such as lipedema and breast cancer, aiming to bridge fundamental cell biology with diagnostic and therapeutic innovation.
Research Interest
Extracellular vesicles, Wnt signaling, Endosomal trafficking, Multivesicular bodies, Biomarker discovery, Tumor cell biology, Lipedema, Proteomics
Lab Skills
Cell and Molecular Biology, Biochemistry, Microscopy and Live-Cell Imaging, Proteomics, EV Research, Biomarker Discovery
Available methodology:
• Mammalian cell culture and gene silencing (siRNA)
• Extracellular vesicle isolation and characterization (ultracentrifugation, NTA, WB)
• Confocal and live-cell imaging and co-localization assays
• Protein and lipid analysis (proteomics, metabolomics)
• Molecular cloning and expression assays
• Data analysis and bioinformatics pipelines