
A major step for HCV research
Research team from Hannover adapts hepatitis C virus to infect mouse liver cells
Read moreAt TWINCORE, 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.
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Research team from Hannover adapts hepatitis C virus to infect mouse liver cells
Read moreResearchers in Hannover have developed a new method for studying neuroinfections. This reduces errors in analysis and delivers more accurate results.
Read moreA research team at TWINCORE was able to establish that TLR8 influences the formation of disease-relevant cytokines.
Read moreWe 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.
Tham H, Chong L, Krishnan M, Khan A, Choi S, Tamura T, Yusoff K, Tan G, Song A
Klee B, Diexer S, Langer S, Gottschick C, Hartmann C, Glaser N, Horn J, Dorendorf E, Raupach-Rosin H, Hassan L, Rübsamen N, Meyer-Schlinkmann K, Guzman C, Heselich V, Battin E, Pietschmann T, Pieper D, Pletz M, Riese P, Trittel S, Thies S, von Kaisenberg C, Dressler F, Guthmann F, Oberhoff C, Schild R, Karch A, Mikolajczyk R
Jumde R, Jézéquel G, Saramago M, Frank N, Adam S, Cunha M, Bader C, Gunesch A, Köhler N, Johannsen S, Bousis S, Pietschmann T, Matos R, Müller R, Arraiano C, Hirsch A
Immunomodulatory drugs for rheumatic diseases specifically influence immune cells and messenger substances. This project investigates their effect on immune responses in order to find individually suitable therapies.
The project is developing methods to specifically transport antibiotics into cells such as alveolar macrophages, which are important in Mycobacterium tuberculosis infections. The aim is to overcome resistance and reduce side effects.
The CoViPa consortium uses computer-assisted high-throughput virus discovery and evolutionary analyses to identify RNA viruses with high spillover risk and potential animal host reservoirs and to investigate new pathogenicity factors.
Population genetic studies show that genetic variability between bacterial strains can influence the evolution of antimicrobial resistance. Using automated laboratory evolution (ALE), we are investigating how genetic backgrounds control AMR evolution.