I apologize that our Website is still under construction and most pages are only available in English. This page is intended to give you a brief overview of our activities.
- We would like to support 'Systems Medicine' and the focus on 'Regenerative Medicine' at the Rostock Medical Center. Within the DFG SPP 1356, we currently focus on data analysis in mouse embryology and in endoderm differentiation of induced pluripotent stem cells (iPS cells) tracked by Next-Generation Sequencing. In a BMBF validation research project, we focus on the analysis of small-molecule effects to improve the production of iPS cells, the inhibition of eye-stent associated fibrosis, personalized diagnoses and kidney regeneration. The latter is a followup upon the BMBF PodoRePro project.
- We would like to support the Rostock University focus area of ageing research. For the Hauptstadtkongress in Berlin (June 25-27, 2014) we organize a session entitled 'Am Puls der Zeit: Regeneration und Verlangsamung des Alterungsprozesses in der Welt von Übermorgen'. We argue that slowing down the ageing process is the most promising goal of medical research, and one of the most challenging. Thus, we organize regular workshops, and contribute data analysis to ROSAge, a GerontoSys BMBF project and its followup intramural project 'MitoAge'.
- We are integrated in the planning, realization and data analysis of randomized clinical trials in several fields of medical science (dementia care , cardiac surgery and stem cells , clinical pharmacology, orthopaedics, etc.). In the methodical field of clinical trials we proceed our scientific work for the purpose of improvement of balancing in randomization methods.
In the future, we wish to support clinical studies with a 'personal genotyping' component (SNP array, whole-genome in some years), and to support genome-wide analyses in close cooperation with the Greifswald 'Study of Health in Pomerania', where we are a member of the 'Renal Disease Team'.
- Moreover, we study the question of extrapolation, or tranferability, of model organism results to human, guided by a good understanding of evolution, phylogeny & homology, in order to improve medical advances based on model organisms, and to avoid any unnecessary animal consumption in the life sciences.
Finally, we are interested in general issues concerning our ability to automate scientific discovery, the nature of innovations and creatitivity, finding a meaning in life, and the origin of life. We wish to respond to creationism and intelligent design by explaining the emergence of complex networks (such as life) from simple components.
- In teaching, we aim to offer the most modern curriculum in the 'Querschnittsbereich 1: Epidemiology, Medical Biometry und Medical Informatics', adding bioinformatics to the game: we believe every student of medicine must have
- a very basic understanding of computer science & programming,
- some understanding of what model organism research can tell you and how homology searches are done,
- some knowledge of the computational underpinnings behind individualized medicine,
- be able to work with a genome browser and interpret 'OMICS' data in context.
With all the best wishes for a long healthspan
Georg Fuellen, Institute Director