@article{SchilbachAlkhaledWelkeretal.2015, author = {Schilbach, Karin and Alkhaled, Mohammed and Welker, Christian and Eckert, Franziska and Blank, Gregor and Ziegler, Hendrik and Sterk, Marco and M{\"u}ller, Friederike and Sonntag, Katja and Wieder, Thomas and Braum{\"u}ller, Heidi and Schmitt, Julia and Eyrich, Matthias and Schleicher, Sabine and Seitz, Christian and Erbacher, Annika and Pichler, Bernd J. and M{\"u}ller, Hartmut and Tighe, Robert and Lim, Annick and Gillies, Stephen D. and Strittmatter, Wolfgang and R{\"o}cken, Martin and Handgretinger, Rupert}, title = {Cancer-targeted IL-12 controls human rhabdomyosarcoma by senescence induction and myogenic differentiation}, series = {OncoImmunology}, volume = {4}, journal = {OncoImmunology}, number = {7}, doi = {10.1080/2162402X.2015.1014760}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-154579}, pages = {e1014760}, year = {2015}, abstract = {Stimulating the immune system to attack cancer is a promising approach, even for the control of advanced cancers. Several cytokines that promote interferon-γ-dominated immune responses show antitumor activity, with interleukin 12 (IL-12) being of major importance. Here, we used an antibody-IL-12 fusion protein (NHS-IL12) that binds histones of necrotic cells to treat human sarcoma in humanized mice. Following sarcoma engraftment, NHS-IL12 therapy was combined with either engineered IL-7 (FcIL-7) or IL-2 (IL-2MAB602) for continuous cytokine bioavailability. NHS-IL12 strongly induced innate and adaptive antitumor immunity when combined with IL-7 or IL-2. NHS-IL12 therapy significantly improved survival of sarcoma-bearing mice and caused long-term remissions when combined with IL-2. NHS-IL12 induced pronounced cancer cell senescence, as documented by strong expression of senescence-associated p16\(^{INK4a}\) and nuclear translocation of p-HP1γ, and permanent arrest of cancer cell proliferation. In addition, this cancer immunotherapy initiated the induction of myogenic differentiation, further promoting the hypothesis that efficient antitumor immunity includes mechanisms different from cytotoxicity for efficient cancer control in vivo.}, language = {en} } @article{WelkerKerstenMuelleretal.2021, author = {Welker, Armin and Kersten, Christian and M{\"u}ller, Christin and Madhugiri, Ramakanth and Zimmer, Collin and M{\"u}ller, Patrick and Zimmermann, Robert and Hammerschmidt, Stefan and Maus, Hannah and Ziebuhr, John and Sotriffer, Christoph and Schirmeister, Tanja}, title = {Structure-Activity Relationships of Benzamides and Isoindolines Designed as SARS-CoV Protease Inhibitors Effective against SARS-CoV-2}, series = {ChemMedChem}, volume = {16}, journal = {ChemMedChem}, number = {2}, doi = {10.1002/cmdc.202000548}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-225700}, pages = {340 -- 354}, year = {2021}, abstract = {Inhibition of coronavirus (CoV)-encoded papain-like cysteine proteases (PL\(^{pro}\)) represents an attractive strategy to treat infections by these important human pathogens. Herein we report on structure-activity relationships (SAR) of the noncovalent active-site directed inhibitor (R)-5-amino-2-methyl-N-(1-(naphthalen-1-yl)ethyl) benzamide (2 b), which is known to bind into the S3 and S4 pockets of the SARS-CoV PL\(^{pro}\). Moreover, we report the discovery of isoindolines as a new class of potent PL\(^{pro}\) inhibitors. The studies also provide a deeper understanding of the binding modes of this inhibitor class. Importantly, the inhibitors were also confirmed to inhibit SARS-CoV-2 replication in cell culture suggesting that, due to the high structural similarities of the target proteases, inhibitors identified against SARS-CoV PL\(^{pro}\) are valuable starting points for the development of new pan-coronaviral inhibitors.}, language = {en} } @phdthesis{Mueller2009, author = {M{\"u}ller, Christian Robert}, title = {Nanoelektronische Feldeffekt-Transistoren und Quantenpunktspeicher auf der Basis von modulationsdotierten GaAs/AlGaAs Heterostrukturen}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-39948}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2009}, abstract = {Diese Arbeit besch{\"a}ftigt sich mit Elektronentransport in nanostrukturierten Bauelementen auf Halbleiterbasis, wobei im Speziellen deren Transistor- und Speichereigenschaften untersucht werden. Grundlage f{\"u}r die Bauelemente stellt eine modulationsdotierte GaAs/AlGaAs Heterostruktur dar, die mittels Elektronenstrahllithographie und nasschemischen {\"A}tzverfahren strukturiert wird. Auf Grund der Bandverbiegung bildet sich in der N{\"a}he des Hetero{\"u}bergangs ein zweidimensionales Elektronengas (2DEG) aus, das als leitf{\"a}hige Schicht in den Strukturen dient. Im Rahmen der Arbeit werden die Transporteigenschaften f{\"u}r unterschiedliche Bauelementdesigns untersucht, wobei die laterale Ausdehnung der Bauelemente wenige 10 nm betr{\"a}gt. Die Charakterisierung des Elektronentransports erfolgt sowohl im linearen als auch nichtlinearen Transportregime f{\"u}r tiefe Temperaturen (T = 4.2 K) bis hin zu Raumtemperatur. Das erste experimentelle Kapitel besch{\"a}ftigt sich mit dem Entwurf und der Charakterisierung von statischen Speicherzellen mit integriertem Floating Gate. Bei den hierf{\"u}r hergestellten Bauelementen befindet sich eine Schicht selbstorganisierter Quantenpunkte (QDs) in direkter N{\"a}he zum 2DEG. Der Abstand zwischen 2DEG und QDs ist kleiner als die Abschirml{\"a}nge im Halbleitermaterial, wodurch die QDs als Floating Gate dienen und Informationen elektrisch gespeichert werden k{\"o}nnen. Die Speicherzellen wurden in Form von Quantendraht-Transistoren (QWTs) und Y-Schaltern (YBSs) realisiert und bez{\"u}glich der Speicherf{\"a}higkeit der QDs sowohl bei tiefen Temperaturen als auch bei Raumtemperatur untersucht. Im zweiten experimentellen Kapitel dieser Arbeit wird ein neues, auf dem Feldeffekt beruhendes, Transistordesign vorgestellt. Die hierf{\"u}r hergestellten Heterostrukturen besitzen ein 2DEG, das sich zwischen 33 nm und 80 nm unterhalb der Oberfl{\"a}che der Heterostruktur befindet. Mittels in die Oberfl{\"a}che der Heterostruktur ge{\"a}tzter Gr{\"a}ben wird eine Isolation zwischen den leitf{\"a}higen Regionen der Bauelemente geschaffen. Das einfache Design der sogenannten Three-Terminal Junctions (TTJs), in Verbindung mit dem oberfl{\"a}chennahen 2DEG, erm{\"o}glicht die monolithische Realisierung von integrierten logischen Gattern. Durch eine ausf{\"u}hrliche Betrachtung des Transistorverhaltens der TTJs k{\"o}nnen sowohl Subthreshold Swings kleiner als das thermische Limit klassischer Feldeffekt-Transistoren als auch Hochfrequenzfunktionalit{\"a}t demonstriert werden.}, subject = {Galliumarsenid}, language = {de} } @article{RinaldettiPfirrmannManzetal.2018, author = {Rinaldetti, S{\´e}bastien and Pfirrmann, Markus and Manz, Kirsi and Guilhot, Joelle and Dietz, Christian and Panagiotidis, Panayiotidis and Spiess, Birgit and Seifarth, Wolfgang and Fabarius, Alice and M{\"u}ller, Martin and Pagoni, Maria and Dimou, Maria and Dengler, Jolanta and Waller, Cornelius F. and Br{\"u}mmendorf, Tim H. and Herbst, Regina and Burchert, Andreas and Janßen, Carsten and Goebeler, Maria Elisabeth and Jost, Philipp J. and Hanzel, Stefan and Schafhausen, Philippe and Prange-Krex, Gabriele and Illmer, Thomas and Janzen, Viktor and Klausmann, Martine and Eckert, Robert and B{\"u}schel, Gerd and Kiani, Alexander and Hofmann, Wolf-Karsten and Mahon, Fran{\c{c}}ois-Xavier and Saussele, Susanne}, title = {Effect of ABCG2, OCT1, and ABCB1 (MDR1) Gene Expression on Treatment-Free Remission in a EURO-SKI Subtrial}, series = {Clinical Lymphoma, Myeloma \& Leukemia}, volume = {18}, journal = {Clinical Lymphoma, Myeloma \& Leukemia}, number = {4}, doi = {10.1016/j.clml.2018.02.004}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-226281}, pages = {266-271}, year = {2018}, abstract = {Within the EURO-SKI trial, 132 chronic phase CML patients discontinued imatinib treatment. RNA was isolated from peripheral blood in order to analyze the expression of MDR1, ABCG2 and OCT1. ABCG2 was predictive for treatment-free remission in Cox regression analysis. High transcript levels of the ABCG2 efflux transporter (>4.5 parts per thousand) were associated with a twofold higher risk of relapse. Introduction: Tyrosine kinase inhibitors (TKIs) can safely be discontinued in chronic myeloid leukemia (CML) patients with sustained deep molecular response. ABCG2 (breast cancer resistance protein), OCT1 (organic cation transporter 1), and ABCB1 (multidrug resistance protein 1) gene products are known to play a crucial role in acquired pharmacogenetic TKI resistance. Their influence on treatment-free remission (TFR) has not yet been investigated. Materials and Methods: RNA was isolated on the last day of TKI intake from peripheral blood leukocytes of 132 chronic phase CML patients who discontinued TKI treatment within the European Stop Tyrosine Kinase Inhibitor Study trial. Plasmid standards were designed including subgenic inserts of OCT1, ABCG2, and ABCB1 together with GUSB as reference gene. For expression analyses, quantitative real-time polymerase chain reaction was used. Multiple Cox regression analysis was performed. In addition, gene expression cutoffs for patient risk stratification were investigated. Results: The TFR rate of 132 patients, 12 months after TKI discontinuation, was 54\% (95\% confidence interval [CI], 46\%-62\%). ABCG2 expression (parts per thousand) was retained as the only significant variable (P=.02; hazard ratio, 1.04; 95\% CI, 1.01-1.07) in multiple Cox regression analysis. Only for the ABCG2 efflux transporter, a significant cutoff was found (P=.04). Patients with an ABCG2/GUSB transcript level >4.5 parts per thousand (n=93) showed a 12-month TFR rate of 47\% (95\% CI, 37\%-57\%), whereas patients with low ABCG2 expression (<= 4.5 parts per thousand; n=39) had a 12-month TFR rate of 72\% (95\% CI, 55\%-82\%). Conclusion: In this study, we investigated the effect of pharmacogenetics in the context of a CML treatment discontinuation trial. The transcript levels of the efflux transporter ABCG2 predicted TFR after TKI discontinuation. (C) 2018 The Authors. Published by Elsevier Inc.}, language = {en} } @article{MuellerLeppichGeissetal.2023, author = {M{\"u}ller, Konstantin and Leppich, Robert and Geiß, Christian and Borst, Vanessa and Pelizari, Patrick Aravena and Kounev, Samuel and Taubenb{\"o}ck, Hannes}, title = {Deep neural network regression for normalized digital surface model generation with Sentinel-2 imagery}, series = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing}, volume = {16}, journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing}, issn = {1939-1404}, doi = {10.1109/JSTARS.2023.3297710}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-349424}, pages = {8508-8519}, year = {2023}, abstract = {In recent history, normalized digital surface models (nDSMs) have been constantly gaining importance as a means to solve large-scale geographic problems. High-resolution surface models are precious, as they can provide detailed information for a specific area. However, measurements with a high resolution are time consuming and costly. Only a few approaches exist to create high-resolution nDSMs for extensive areas. This article explores approaches to extract high-resolution nDSMs from low-resolution Sentinel-2 data, allowing us to derive large-scale models. We thereby utilize the advantages of Sentinel 2 being open access, having global coverage, and providing steady updates through a high repetition rate. Several deep learning models are trained to overcome the gap in producing high-resolution surface maps from low-resolution input data. With U-Net as a base architecture, we extend the capabilities of our model by integrating tailored multiscale encoders with differently sized kernels in the convolution as well as conformed self-attention inside the skip connection gates. Using pixelwise regression, our U-Net base models can achieve a mean height error of approximately 2 m. Moreover, through our enhancements to the model architecture, we reduce the model error by more than 7\%.}, language = {en} }