
How RSV manipulates the immune response in respiratory cells
TWINCORE researchers investigate gene activity in host cells

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.
This year's TWINCORE Symposium will take place on 3 - 4 September.

TWINCORE researchers investigate gene activity in host cells

Diverse Origins – One Goal

The 23rd doctoral thesis to receive an award at TWINCORE
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.
Vandenabeele L, Ayanwale A, Pietschmann T, Nilsson-Payant B
Dinkelborg K, Niehaus C, Bremer B, Wundes C, Tiede A, Petruch N, Deterding K, Kraft A, Hartleben B, Cornberg M, Wedemeyer H, Behrendt P, Maasoumy B
Berg K, Haid S, Vafadarnejad E, Carpentier A, Geffers R, Wiegmann B, Saliba A, Erhard F, Pietschmann T
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.
We are investigating how the association of HCV with lipoproteins contributes to the persistence of the virus by influencing entry into liver cells and protecting against antibodies. The aim is to gain new insights for the development of an HCV vaccine.
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.

