Susann Meyer

19.05.2022

Prof. Dr. Hauke Hillen, Junior Professor at the Department of Cellular Biochemistry, University Medical Center Göttingen (UMG) and group leader at the Max Planck Institute (MPI) for Multidisciplinary Sciences. Photo: mpi-nat/irene böttcher-gajewski

19.05.2022

Hauke Hillen receives Peter and Traudl Engelhorn Research Award 2022

The Peter and Traudl Engelhorn Foundation awards MBExC member Prof. Dr. Hauke Hillen for his work on the molecular mechanisms of gene activation of viruses and mitochondria. The Peter and […]

18.05.2022

J Am Chem Soc

18.05.2022

Fast photoswitchable molecular prosthetics control neuronal activity in the cochlea

Garrido-Charles A, Huet AT, Matera C, Thirumalai A, Hernando J, Llebaria A, Moser T, Gorostiza P

17.05.2022

Nat Struct Mol Biol

17.05.2022

Histone H1 binding to nucleosome arrays depends on linker DNA length and trajectory

Dombrowski M, Engeholm M, Dienemann C, Dodonova, S. Cramer P

14.05.2022

Hum Mol Genet

14.05.2022

Alpha-synuclein overexpression induces epigenomic dysregulation of glutamate signaling and locomotor pathways

Schaffner SL, Wassouf Z, Lazaro DF, Xylaki M, Gladish N, Lin DTS, MacIsaac J, Ramadori K, Hentrich T, Schulze-Hentrich JM, Outeiro TF, Kobor MS

03.05.2022

Front. Mol. Neurosci

03.05.2022

α-Synuclein Impacts on Intrinsic Neuronal Network Activity Through Reduced Levels of Cyclic AMP and Diminished Numbers of Active Presynaptic Terminals

Leite K, Garg P, Spitzner FP, Guerin Darvas S, Bähr M, Priesemann V, Kügler S

02.05.2022

The figure shows a cell with excessive alpha-synuclein (left) compared to a cell, where alpha-synuclein was genetically switched off (right). The cell nucleus is colored blue, the protein alpha-synuclein yellow.© Felipe Opazo / UMG

02.05.2022

Possible biomarker for Parkinson’s discovered using new MRI method

Researchers and MBExC members at the Max Planck Institute (MPI) for Multidisciplinary Sciences, the University Medical Center Göttingen (UMG), and the German Center for Neurodegenerative Diseases (DZNE) have used this insight in a first step to develop a new diagnostics approach.