The Department for BioMedical Research (DBMR) aims to foster bottom-up initiatives originating from individual DBMR research groups to work together or with groups outside of the DBMR. Research groups are invited to create Research Clusters for which the DBMR will give visibility and logistical support.
Cluster for Regenerative Neuroscience
The interdisciplinary collaboration between five research groups of the University of Bern was inspired by the emerging field of stem cell research, which offers interesting new therapeutic options for a variety of disorders of the brain and the sensory organs of the head.
Cluster "Signal Transduction in Disease"
Intracellular signal transduction pathways are often deregulated in major human diseases, such as cancer, cardiovascular diseases, inflammation and diabetes. The study of intracellular signal transduction can lead to a better understanding of the molecular mechanisms underlying human diseases and identify novel drug targets to develop new therapeutic approaches.
Cluster for Lung Development, Regeneration and Respiratory Diseases
The history of lung research in Bern dates back to the early 1960’s beginning with the pioneering work of Ewald Weibel, a prominent Swiss lung morphologist and biomedical researcher. Weibel’s seminal work elucidating the relationship between lung microstructure and function built the foundation for an expanded network of research groups presently at the University of Bern dedicated to respiratory research.
Cluster for Cardiovascular Research (nur in Englisch)
As cardiovascular disease is the leading cause of death globally, a greater understanding of cardiovascular physiology and pathophysiology is of utmost importance. Consequently, several teams of the Department for BioMedical Research (DBMR) and the University of Bern (UniBE) are actively involved in research concerning the function of the heart, arteries and veins, as well as the underlying mechanisms, in healthy and disease states. This research ranges from fundamental biochemical science to pre-clinical and clinical studies, and thereby relies on a multitude of experimental models.