
New findings on spinal muscular atrophy
Researchers investigate the impact on the immune system.

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.

Researchers investigate the impact on the immune system.

How bacteria develop resistance to antisense antibiotics - and how future therapies can be designed to reduce the risk of resistance

A team of researchers from Hamburg, Berlin, Göttingen and Hannover has provided evidence of possible cross-protection offered by an already authorised Zaire Ebola virus vaccine.
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.
Frommeyer Y, Sun J, Wu J, Kennepohl B, Witte J, Gomez N, Battermann J, Becker L, Cetraro P, Verstraten R, Tomasch J, Pich A, Depledge D, Dedon P, Häussler S
Pape T, Pak O, Graalmann T, Ehlers C, Deutscher J, Spiegelberg D, Horn P, Stahl K, Hoeper M, David S, Sommer N, Seeliger B
Xie E, Schubert M, Reeb J, Seligmann B, Schaks M, Müsken M, Steffen A, Stradal T, Haid S, Rottner K, Sieben C
The project investigates how HCMV is recognized by the immune system and which mechanisms the virus uses to camouflage itself. The aim is to understand the immune reactions and develop therapies for severely affected patients.
The project is developing iPSC-based therapies for MSMD patients, a genetic disease with mutations in the IFN-γ signaling pathway that lead to severe mycobacterial infections. The aim is to improve the treatment prognosis.
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.
Thanks to high-throughput sequencing, genome sequences of hundreds of bacterial strains can be analyzed efficiently, revealing differences of up to 60 % in gene content, as in E. coli. With the help of machine learning, we want to better predict the functions of accessory genes and decipher their contribution to survival in specialized niches.
Dr. Verónica Durán
Stanford University School of Medicine, Stanford
"Age-dependent immune landscape in dengue infection and disease progression"
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Prof. Shirit Einav
Stanford University School of Medicine, Stanford
"Targeting an understudied lipid kinase to restore lysosomal function in viral infection and neurodegeneration"
"Why is knowledge in regulatory science important for translational medicine and basic science?"

