TY  - JOUR
A1  - Pollinger, Florian
A1  - Schmitt, Stefan
A1  - Sander, Dirk
A1  - Tian, Zhen
A1  - Kirschner, Jürgen
A1  - Vrdoljak, Pavo
A1  - Stadler, Christoph
A1  - Maier, Florian
A1  - Marchetto, Helder
A1  - Schmidt, Thomas
A1  - Schöll, Achim
A1  - Umbach, Eberhard
T1  - Nanoscale patterning, macroscopic reconstruction, and enhanced surface stress by organic adsorption on vicinal surfaces
JF  - New Journal of Physics
N2  - Self-organization is a promising method within the framework of bottom-up architectures to generate nanostructures in an efficient way. The present work demonstrates that self- organization on the length scale of a few to several tens of nanometers can be achieved by a proper combination of a large (organic) molecule and a vicinal metal surface if the local bonding of the molecule on steps is significantly stronger than that on low-index surfaces. In this case thermal annealing may lead to large mass transport of the subjacent substrate atoms such that nanometer-wide and micrometer-long molecular stripes or other patterns are being formed on high-index planes. The formation of these patterns can be controlled by the initial surface orientation and adsorbate coverage. The patterns arrange self-organized in regular arrays by repulsive mechanical interactions over long distances accompanied by a significant enhancement of surface stress. We demonstrate this effect using the planar organic molecule PTCDA as adsorbate and Ag(10 8 7) and Ag(775)surfaces as substrate. The patterns are directly observed by STM, the formation of vicinal surfaces is monitored by highresolution electron diffraction, the microscopic surface morphology changes are followed by spectromicroscopy, and the macroscopic changes of surface stress are measured by a cantilever bending method. The in situ combination of these complementary techniques provides compelling evidence for elastic interaction and a significant stress contribution to long-range order and nanopattern formation.
KW  - physics
KW  - patterning
KW  - reconstruction
KW  - surface stress
KW  - STM
KW  - SPA-LEED
KW  - vicinal surfaces
KW  - adsoption
Y1  - 2017
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-171947
VL  - 19
ER  - 
TY  - JOUR
A1  - Maaß, Henriette
A1  - Bentmann, Hendrik
A1  - Seibel, Christoph
A1  - Tusche, Christian
A1  - Eremeev, Sergey V.
A1  - Peixoto, Thiago R.F.
A1  - Tereshchenko, Oleg E.
A1  - Kokh, Konstantin A.
A1  - Chulkov, Evgueni V.
A1  - Kirschner, Jürgen
A1  - Reinert, Friedrich
T1  - Spin-texture inversion in the giant Rashba semiconductor BiTeI
JF  - Nature Communications
N2  - Semiconductors with strong spin–orbit interaction as the underlying mechanism for the generation of spin-polarized electrons are showing potential for applications in spintronic devices. Unveiling the full spin texture in momentum space for such materials and its relation to the microscopic structure of the electronic wave functions is experimentally challenging and yet essential for exploiting spin–orbit effects for spin manipulation. Here we employ a state-of-the-art photoelectron momentum microscope with a multichannel spin filter to directly image the spin texture of the layered polar semiconductor BiTeI within the full two-dimensional momentum plane. Our experimental results, supported by relativistic ab initio calculations, demonstrate that the valence and conduction band electrons in BiTeI have spin textures of opposite chirality and of pronounced orbital dependence beyond the standard Rashba model, the latter giving rise to strong optical selection-rule effects on the photoelectron spin polarization. These observations open avenues for spin-texture manipulation by atomic-layer and charge carrier control in polar semiconductors.
KW  - applied physics
KW  - spintronics
KW  - semiconductors
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-173769
VL  - 7
ER  - 
TY  - JOUR
A1  - Zimniak, Melissa
A1  - Kirschner, Luisa
A1  - Hilpert, Helen
A1  - Geiger, Nina
A1  - Danov, Olga
A1  - Oberwinkler, Heike
A1  - Steinke, Maria
A1  - Sewald, Katherina
A1  - Seibel, Jürgen
A1  - Bodem, Jochen
T1  - The serotonin reuptake inhibitor Fluoxetine inhibits SARS-CoV-2 in human lung tissue
JF  - Scientific Reports
N2  - To circumvent time-consuming clinical trials, testing whether existing drugs are effective inhibitors of SARS-CoV-2, has led to the discovery of Remdesivir. We decided to follow this path and screened approved medications "off-label" against SARS-CoV-2. Fluoxetine inhibited SARS-CoV-2 at a concentration of 0.8 mu g/ml significantly in these screenings, and the EC50 was determined with 387 ng/ml. Furthermore, Fluoxetine reduced viral infectivity in precision-cut human lung slices showing its activity in relevant human tissue targeted in severe infections. Fluoxetine treatment resulted in a decrease in viral protein expression. Fluoxetine is a racemate consisting of both stereoisomers, while the S-form is the dominant serotonin reuptake inhibitor. We found that both isomers show similar activity on the virus, indicating that the R-form might specifically be used for SARS-CoV-2 treatment. Fluoxetine inhibited neither Rabies virus, human respiratory syncytial virus replication nor the Human Herpesvirus 8 or Herpes simplex virus type 1 gene expression, indicating that it acts virus-specific. Moreover, since it is known that Fluoxetine inhibits cytokine release, we see the role of Fluoxetine in the treatment of SARS-CoV-2 infected patients of risk groups.
KW  - SARS-CoV-2
KW  - viral epidemiology
KW  - viral infection
Y1  - 2021
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-259820
VL  - 11
ER  - 
TY  - JOUR
A1  - Gröbner, Susanne N.
A1  - Worst, Barbara C.
A1  - Weischenfeldt, Joachim
A1  - Buchhalter, Ivo
A1  - Kleinheinz, Kortine
A1  - Rudneva, Vasilisa A.
A1  - Johann, Pascal D.
A1  - Balasubramanian, Gnana Prakash
A1  - Segura-Wang, Maia
A1  - Brabetz, Sebastian
A1  - Bender, Sebastian
A1  - Hutter, Barbara
A1  - Sturm, Dominik
A1  - Pfaff, Elke
A1  - Hübschmann, Daniel
A1  - Zipprich, Gideon
A1  - Heinold, Michael
A1  - Eils, Jürgen
A1  - Lawerenz, Christian
A1  - Erkek, Serap
A1  - Lambo, Sander
A1  - Waszak, Sebastian
A1  - Blattmann, Claudia
A1  - Borkhardt, Arndt
A1  - Kuhlen, Michaela
A1  - Eggert, Angelika
A1  - Fulda, Simone
A1  - Gessler, Manfred
A1  - Wegert, Jenny
A1  - Kappler, Roland
A1  - Baumhoer, Daniel
A1  - Stefan, Burdach
A1  - Kirschner-Schwabe, Renate
A1  - Kontny, Udo
A1  - Kulozik, Andreas E.
A1  - Lohmann, Dietmar
A1  - Hettmer, Simone
A1  - Eckert, Cornelia
A1  - Bielack, Stefan
A1  - Nathrath, Michaela
A1  - Niemeyer, Charlotte
A1  - Richter, Günther H.
A1  - Schulte, Johannes
A1  - Siebert, Reiner
A1  - Westermann, Frank
A1  - Molenaar, Jan J.
A1  - Vassal, Gilles
A1  - Witt, Hendrik
A1  - Burkhardt, Birgit
A1  - Kratz, Christian P.
A1  - Witt, Olaf
A1  - van Tilburg, Cornelis M.
A1  - Kramm, Christof M.
A1  - Fleischhack, Gudrun
A1  - Dirksen, Uta
A1  - Rutkowski, Stefan
A1  - Frühwald, Michael
A1  - Hoff, Katja von
A1  - Wolf, Stephan
A1  - Klingebeil, Thomas
A1  - Koscielniak, Ewa
A1  - Landgraf, Pablo
A1  - Koster, Jan
A1  - Resnick, Adam C.
A1  - Zhang, Jinghui
A1  - Liu, Yanling
A1  - Zhou, Xin
A1  - Waanders, Angela J.
A1  - Zwijnenburg, Danny A.
A1  - Raman, Pichai
A1  - Brors, Benedikt
A1  - Weber, Ursula D.
A1  - Northcott, Paul A.
A1  - Pajtler, Kristian W.
A1  - Kool, Marcel
A1  - Piro, Rosario M.
A1  - Korbel, Jan O.
A1  - Schlesner, Matthias
A1  - Eils, Roland
A1  - Jones, David T. W.
A1  - Lichter, Peter
A1  - Chavez, Lukas
A1  - Zapatka, Marc
A1  - Pfister, Stefan M.
T1  - The landscape of genomic alterations across childhood cancers
JF  - Nature
N2  - Pan-cancer analyses that examine commonalities and differences among various cancer types have emerged as a powerful way to obtain novel insights into cancer biology. Here we present a comprehensive analysis of genetic alterations in a pan-cancer cohort including 961 tumours from children, adolescents, and young adults, comprising 24 distinct molecular types of cancer. Using a standardized workflow, we identified marked differences in terms of mutation frequency and significantly mutated genes in comparison to previously analysed adult cancers. Genetic alterations in 149 putative cancer driver genes separate the tumours into two classes: small mutation and structural/copy-number variant (correlating with germline variants). Structural variants, hyperdiploidy, and chromothripsis are linked to TP53 mutation status and mutational signatures. Our data suggest that 7–8% of the children in this cohort carry an unambiguous predisposing germline variant and that nearly 50% of paediatric neoplasms harbour a potentially druggable event, which is highly relevant for the design of future clinical trials.
KW  - cancer genomics
KW  - oncogenesis
KW  - paediatric cancer
KW  - predictive markers
KW  - translational research
Y1  - 2018
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-229579
VL  - 555
ER  -