
Successful start for HCV vaccine project
923,000 € funding for the V³ECTORY project from IBT Lower Saxony
TWINCORE was founded in 2008 by the Helmholtz Centre for Infection Research and the Hannover Medical School. We combine the expertise of medical professionals and scientists from a wide range of disciplines to find answers to the pressing questions in infection research. Our focus: translational research – the bridge between basic science and clinical application.
923,000 € funding for the V³ECTORY project from IBT Lower Saxony
Frank Pessler's spin-off honoured as "Emerging Startup" at BioVaria 2025
Hannover researchers develop stem cell-based infection model
We conduct translational infection research to improve the prevention, diagnosis and treatment of infectious diseases in humans. We focus on three areas that characterize our research work. Find out here how we proceed and what results we achieve.
Under the leadership of our best scientists, various labs are working on different projects within our research topics.
Bartsch Y, Webb N, Burgess E, Kang J, Lauffenburger D, Julg B
Haller R, Cai Y, DeBuhr N, Rieder J, Schlüter D, Baier C, Rohde H, von Köckritz-Blickwede M, Vital M, Winstel V
Chou Y, Cornberg M
The project investigates the immune response of the central nervous system in viral infections, in particular the role of type I IFN, microglia and monocytes in the development of encephalitis and their influence on seizures and hippocampal damage.
We develop high-throughput screening assays to identify antiviral molecules against RSV and SARS-CoV-2. We use compound libraries, investigate new mechanisms of action and strive for innovative therapies.
Together with the Department of Structural Biology at the University of Lübeck, human, strongly neutralizing antibodies against HEV were identified and characterized for the first time. These showed a protective effect in the mouse model and are currently being further developed for clinical application, including mRNA-based application methods.
By applying statistical genetics methods to pathogen genome sequences, we aim to identify and validate genetic determinants of phenotypes such as pathogenicity, virulence and antibiotic resistance, e.g. in E. coli and P. aeruginosa.