Better prediction of bacterial properties
News from the RESIST Cluster of Excellence
Read moreTWINCORE 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.
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News from the RESIST Cluster of Excellence
Read moreResearch team from Hannover adapts hepatitis C virus to infect mouse liver cells
Read moreResearchers in Hannover have developed a new method for studying neuroinfections.
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.
Bartsch Y, Webb N, Burgess E, Kang J, Lauffenburger D, Julg B
Goranovič D, Jenko B, Ramšak B, Podgoršek Berke A, Bedrač L, Horvat J, Šala M, Makuc D, Carriche G, Silva L, Lopez Krol A, Pšeničnik A, Durán Alonso M, Avbelj M, Stavber S, Plavec J, Sparwasser T, Müller R, Kosec G, Fujs Š, Petković H
Li W, Zhang Z, Kumar S, Botey-Bataller J, Zoodsma M, Ehsani A, Zhan Q, Alaswad A, Zhou L, Grondman I, Koeken V, Yang J, Wang G, Volland S, Crişan T, Joosten L, Illig T, Xu C, Netea M, Li Y
This project focuses on lung infections such as influenza, COVID-19, pneumonia and tuberculosis in order to improve diagnostics, patient stratification and therapy. RNA molecules and metabolites are being investigated as biomarkers and complementary therapies.
Older people are at high risk of a poor immune response to the flu vaccine. Together with partners, we are looking for biomarkers and risk factors for this inadequate response and are investigating ways to improve the vaccination response.
The project investigates the factors that determine the species barrier mechanism of HCV and make it impossible to study the infection in animal models. The aim is to use genetic screening systems to develop in vivo models for vaccine research.
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.