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- Drosophila melanogaster (19)
- Kernspintomografie (19)
- Molekularbiologie (19)
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- Verhalten (15)
- Virtuelle Realität (15)
- Angst (14)
- Epigenetik (14)
- Exziton (14)
- Farbstoff (14)
- Femtosekundenspektroskopie (14)
- MRI (14)
- Mikroskopie (14)
- Myc (14)
- Netzwerk (14)
- Regulation (14)
- Serotonin (14)
- Trypanosoma brucei (14)
- Ultrakurzzeitspektroskopie (14)
- Vaccinia-Virus (14)
- cancer (14)
- Biodiversität (13)
- Escherichia coli (13)
- Halbleiter (13)
- Hydrogel (13)
- Inhibitor (13)
- Kognition (13)
- Makrophage (13)
- Monte-Carlo-Simulation (13)
- Motoneuron (13)
- Organische Solarzelle (13)
- Spintronik (13)
- miRNS (13)
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- Apoptose (12)
- Aufmerksamkeit (12)
- Bildgebendes Verfahren (12)
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- HgTe (12)
- Immunologie (12)
- Immuntherapie (12)
- Konditionierung (12)
- Rezeptor (12)
- Schlaganfall (12)
- Stammzelle (12)
- Theoretische Chemie (12)
- Thrombose (12)
- Topologie (12)
- Zelldifferenzierung (12)
- Aggregation (11)
- Antikörper (11)
- Cancer (11)
- Candida albicans (11)
- Deutschland (11)
- Dünne Schicht (11)
- Gehirn (11)
- Genanalyse (11)
- Knockout <Molekulargenetik> (11)
- Lungenkrebs (11)
- Megakaryozyt (11)
- Merocyanine (11)
- Microscopy (11)
- NFATc1 (11)
- NMR-Spektroskopie (11)
- NMR-Tomographie (11)
- Neisseria meningitidis (11)
- Perylenderivate (11)
- Supersymmetrie (11)
- Synapse (11)
- Zellskelett (11)
- learning (11)
- platelets (11)
- topological insulator (11)
- ARPES (10)
- Ameisen (10)
- Aminosäuren (10)
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- Entwicklung (10)
- Gefühl (10)
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- MAP-Kinase (10)
- Optische Spektroskopie (10)
- Oxidativer Stress (10)
- Perylenbisimid (10)
- Proteine (10)
- Robotik (10)
- Supraleitung (10)
- Transkription <Genetik> (10)
- 3D-Druck (9)
- Arteriosklerose (9)
- Aspergillus fumigatus (9)
- Bakterien (9)
- Bildverarbeitung (9)
- Chlamydia trachomatis (9)
- Computersimulation (9)
- DFT (9)
- Diabetes mellitus (9)
- Einzelmolekülmikroskopie (9)
- Elektronenkorrelation (9)
- Elektrophysiologie (9)
- Elementarteilchenphysik (9)
- Extrazelluläre Matrix (9)
- Festkörperphysik (9)
- Fuchsbandwurm (9)
- G-Protein gekoppelte Rezeptoren (9)
- Geruchswahrnehmung (9)
- HPLC (9)
- Immunreaktion (9)
- Mensch-Maschine-Kommunikation (9)
- Mitose (9)
- Neurobiologie (9)
- Organische Chemie (9)
- Platelets (9)
- Quality of Experience (9)
- Quanten-Hall-Effekt (9)
- Quantenchemie (9)
- Quantenpunkt (9)
- Raman-Spektroskopie (9)
- Ratte (9)
- Small RNA (9)
- Starke Kopplung (9)
- Tagesrhythmus (9)
- Tumor (9)
- Virulenz (9)
- fluorescence (9)
- perylene bisimide (9)
- self-assembly (9)
- signal transduction (9)
- Ökologie (9)
- ADHD (8)
- Affekt (8)
- Arabidopsis thaliana (8)
- Arzneimitteldesign (8)
- Aufmerksamkeits-Defizit-Syndrom (8)
- Bioinformatics (8)
- Biomarker (8)
- Blazar (8)
- DNA damage (8)
- Elektronenspinresonanz (8)
- Elektronischer Transport (8)
- Fluoreszenz-Resonanz-Energie-Transfer (8)
- Fotovoltaik (8)
- Galliumarsenid (8)
- Herzinfarkt (8)
- Heterostruktur (8)
- Induzierte pluripotente Stammzelle (8)
- Infektion (8)
- Inhibition (8)
- Ladungstransfer (8)
- Machine Learning (8)
- Mensch (8)
- Metabolismus (8)
- Microarray (8)
- Muscarinrezeptor (8)
- Nahrungserwerb (8)
- Namibia (8)
- Nanopartikel (8)
- Neisseria gonorrhoeae (8)
- Pflanzen (8)
- Pilzkörper (8)
- Squaraine (8)
- Therapie (8)
- Transkription (8)
- Ultrakurzer Lichtimpuls (8)
- Westafrika (8)
- Zellkultur (8)
- dSTORM (8)
- evolution (8)
- photoelectron spectroscopy (8)
- Übergangsmetallkomplexe (8)
- Aktiver galaktischer Kern (7)
- Alzheimerkrankheit (7)
- Angeregter Zustand (7)
- Angiogenese (7)
- Arzneimittel (7)
- Autonomer Roboter (7)
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- Biofilm (7)
- Biomaterial (7)
- Bioverfügbarkeit (7)
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- EEG (7)
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- Emotion (7)
- Enzym (7)
- Extremwertstatistik (7)
- FRET (7)
- Fluorescence (7)
- Furcht (7)
- Gammastrahlung (7)
- Geldpolitik (7)
- Genetik (7)
- Genmutation (7)
- Helicobacter pylori (7)
- Hubbard-Modell (7)
- In vitro (7)
- Informationsverarbeitung (7)
- Insulin (7)
- Japankärpfling (7)
- Katalyse (7)
- Kleinsatellit (7)
- Klimawandel (7)
- LHC (7)
- Landnutzung (7)
- Ligand <Biochemie> (7)
- MYC (7)
- Malaria (7)
- Methylierung (7)
- Mobiler Roboter (7)
- Motivation (7)
- NMR-Bildgebung (7)
- Nash-Gleichgewicht (7)
- Neuroethologie (7)
- Nigeria (7)
- Operations Management (7)
- Optogenetik (7)
- Organisches Molekül (7)
- Pathogenität (7)
- Performance Evaluation (7)
- Pheromon (7)
- RNS (7)
- Radioastronomie (7)
- Spinale Muskelatrophie (7)
- Supersymmetry (7)
- Synthese (7)
- Textverstehen (7)
- Thrombosis (7)
- Transcription (7)
- Tuberkelbakterium (7)
- Wahrnehmung (7)
- Zebrabärbling (7)
- Zellmigration (7)
- climate change (7)
- dendritic cells (7)
- fMRI (7)
- femtosecond spectroscopy (7)
- melanoma (7)
- memory (7)
- metabolism (7)
- social insects (7)
- virtual reality (7)
- ATLAS <Teilchendetektor> (6)
- AdS-CFT-Korrespondenz (6)
- Antibiotikum (6)
- Arbeitsteilung (6)
- B-Lymphozyt (6)
- Biologie (6)
- Bor (6)
- Camponotus floridanus (6)
- China (6)
- Chiralität <Chemie> (6)
- Click-Chemie (6)
- Cloud Computing (6)
- DNS (6)
- Elektrochemie (6)
- Elektronenstruktur (6)
- Fibroblastenwachstumsfaktor (6)
- Funktionelle Kernspintomografie (6)
- Gehirn-Computer-Schnittstelle (6)
- Genom (6)
- Geruchssinn (6)
- Graphen (6)
- HIV (6)
- Hochtemperatursupraleiter (6)
- Honigbiene (6)
- Instrumentelle Analytik (6)
- Interaktion (6)
- Komplexitätstheorie (6)
- Konfokale Mikroskopie (6)
- Konjugierte Polymere (6)
- Künstliche Intelligenz (6)
- Laser (6)
- Lithium-Ionen-Akkumulator (6)
- Löslichkeit (6)
- Magnetismus (6)
- Natürliche Killerzelle (6)
- Neuronale Plastizität (6)
- Neutrino (6)
- Newton-Verfahren (6)
- Numerisches Verfahren (6)
- Onkolyse (6)
- Organische Synthese (6)
- Parkinson-Krankheit (6)
- Pharmakokinetik (6)
- Platelet (6)
- Pulsformung (6)
- Raf <Biochemie> (6)
- Rekombination (6)
- Routing (6)
- Röntgen-Photoelektronenspektroskopie (6)
- Röntgenspektroskopie (6)
- Self-assembly (6)
- Soziale Insekten (6)
- Spintronics (6)
- Stoffwechsel (6)
- Symbiose (6)
- Systembiologie (6)
- Transplantat-Wirt-Reaktion (6)
- USA (6)
- Ubiquitin (6)
- Verteiltes System (6)
- Zwei-Sechs-Halbleiter (6)
- apoptosis (6)
- drug delivery (6)
- gene expression (6)
- honeybee (6)
- in vitro (6)
- mesenchymal stem cells (6)
- microRNA (6)
- molecular beam epitaxy (6)
- olfaction (6)
- organic semiconductors (6)
- organic solar cells (6)
- platelet (6)
- pulse shaping (6)
- spectroscopy (6)
- supramolecular chemistry (6)
- vaccinia virus (6)
- Übergangsmetall (6)
- Actin (5)
- Aggregat <Chemie> (5)
- Algorithmus (5)
- Antigen CD8 (5)
- Apis mellifera (5)
- Assoziatives Gedächtnis (5)
- Astrophysik (5)
- Ausbreitung (5)
- BMP (5)
- Bauchspeicheldrüsenkrebs (5)
- Biofabrication (5)
- Blattschneiderameisen (5)
- Blut-Hirn-Schranke (5)
- Borylierung (5)
- CRISPR/Cas-Methode (5)
- CRISPR/Cas9 (5)
- Cataglyphis (5)
- Chlamydia (5)
- Chromatin (5)
- Chromophor (5)
- Coherent Multidimensional Spectroscopy (5)
- Cytoskeleton (5)
- Cytotoxizität (5)
- DNA repair (5)
- Demökologie (5)
- Dendritic cells (5)
- Diffusion (5)
- Echinococcus (5)
- Endothel (5)
- Entscheidungsunterstützung (5)
- Epidermaler Wachstumsfaktor-Rezeptor (5)
- Femtosekundenbereich (5)
- Fermionensystem (5)
- Fluoreszenzspektroskopie (5)
- Flüssigkristall (5)
- Fortpflanzung (5)
- Fourier-Spektroskopie (5)
- Gammaastronomie (5)
- Gephyrin (5)
- Geruch (5)
- Gold (5)
- Graph (5)
- Graphenzeichnen (5)
- Herz (5)
- Herzhypertrophie (5)
- Hippocampus (5)
- Honeybee (5)
- Hubbard model (5)
- Hydrogeologie (5)
- Hypoxie (5)
- Hämostase (5)
- Immunology (5)
- Immunotherapy (5)
- Impurity Profiling (5)
- Invasion (5)
- Klima (5)
- Knochen-Morphogenese-Proteine (5)
- Komplexität (5)
- Kondensierte Materie (5)
- Kondo-Effekt (5)
- LC-MS (5)
- LC-MS/MS (5)
- Latrophilin (5)
- Learning (5)
- Listeria monocytogenes (5)
- MAGIC-Teleskop (5)
- MBE (5)
- Magnetische Resonanz (5)
- Magnetischer Halbleiter (5)
- Makroökonomie (5)
- Manganarsenide (5)
- Manganverbindungen (5)
- Massenspektrometrie (5)
- Meeresschwämme (5)
- Meiose (5)
- Memory (5)
- Metagenom (5)
- Mitochondrium (5)
- Molekulardynamik (5)
- Monitoring (5)
- Monoklonaler Antikörper (5)
- Monte Carlo (5)
- Nahfeldoptik (5)
- Namibia <Nordwest> (5)
- Nanodraht (5)
- Nanostruktur (5)
- Naphthylisochinolinalkaloide (5)
- Nervendegeneration (5)
- Neuroanatomie (5)
- Neurodegeneration (5)
- Neurogenetik (5)
- Nichtlineare Optimierung (5)
- Nichtlineare Spektroskopie (5)
- Non-coding RNA (5)
- Nucleinsäuren (5)
- Oberflächenphysik (5)
- Olfaction (5)
- Optik (5)
- Optogenetics (5)
- Perowskit (5)
- Pharmakodynamik (5)
- Photochemie (5)
- Phylogenie (5)
- Quanteninformation (5)
- RNA (5)
- Rastertunnelmikroskop (5)
- Regulatorischer T-Lymphozyt (5)
- Remote Sensing (5)
- Rhodium (5)
- Ringöffnungspolymerisation (5)
- SMN (5)
- Satellit (5)
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- Spin (5)
- Spin-Bahn-Wechselwirkung (5)
- Stabilität (5)
- Standardmodell <Elementarteilchenphysik> (5)
- Stressreaktion (5)
- T cell (5)
- Tanzania (5)
- Theoretical Chemistry (5)
- Theoretische Informatik (5)
- Transkriptomanalyse (5)
- Trypanosomen (5)
- Tumorzelle (5)
- UV-VIS-Spektroskopie (5)
- Ultraschall (5)
- Virulenzfaktor (5)
- Visuelle Aufmerksamkeit (5)
- Wirkstoff (5)
- XPS (5)
- Zellteilung (5)
- Zelltod (5)
- Zellwand (5)
- Zentralnervensystem (5)
- ants (5)
- atherosclerosis (5)
- biodiversity (5)
- biomarker (5)
- charge transfer (5)
- dispersal (5)
- diversity (5)
- division of labor (5)
- ecology (5)
- emotion (5)
- extracellular matrix (5)
- graph drawing (5)
- inflammation (5)
- insects (5)
- land use (5)
- neurobiology (5)
- oncolytic virotherapy (5)
- optimal control (5)
- regulation (5)
- soziale Insekten (5)
- spintronics (5)
- super-resolution microscopy (5)
- virulence (5)
- Actin-bindende Proteine (4)
- AdS/CFT (4)
- Alzheimer-Krankheit (4)
- Ancistrocladaceae (4)
- Antennallobus (4)
- Antimikrobieller Wirkstoff (4)
- Approximationsalgorithmus (4)
- Arbeitsmarkt (4)
- Atherosclerosis (4)
- Aufmerksamkeitsdefizit-Syndrom (4)
- Autoantikörper (4)
- Autoimmunität (4)
- B-Zell-Lymphom (4)
- Bestäubung (4)
- Bienen <Familie> (4)
- Bilanzpolitik (4)
- Biochemie (4)
- Biogenese (4)
- Biologische Uhr (4)
- Biomechanik (4)
- Biotransformation (4)
- Borane (4)
- Brain-derived neurotrophic factor (4)
- Bruchpilot (4)
- Brustkrebs (4)
- CD1d (4)
- Cadherine (4)
- Caenorhabditis elegans (4)
- Calciumkanal (4)
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- Chemische Reinheit (4)
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- Computational Chemistry (4)
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- Conditioning (4)
- Dark Matter (4)
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- Deep learning (4)
- Dendritic cell (4)
- Dienstgüte (4)
- Differentialgleichung (4)
- Dopamin (4)
- Dotierung (4)
- Drahtloses Sensorsystem (4)
- Dunkle Materie (4)
- Dünndarm (4)
- Electrospinning (4)
- Elektroencephalographie (4)
- Elektronendichte (4)
- Elektronenspin (4)
- Elektronentransport (4)
- Embryonale Stammzelle (4)
- Emotionsregulation (4)
- Endocytose (4)
- Entwicklungsbiologie (4)
- Enzyminhibitor (4)
- Epigenetic (4)
- Erwachsener (4)
- Euler equations (4)
- Expansion Microscopy (4)
- Experimentelle Psychologie (4)
- Extremwerttheorie (4)
- Fanconi-Anämie (4)
- Festkörpertheorie (4)
- Fibroblasten (4)
- Finite-Elemente-Methode (4)
- Fotokatalyse (4)
- Fotophysik (4)
- G-Protein gekoppelter Rezeptor (4)
- GPVI (4)
- Gasionisationsdetektor (4)
- Gelenkknorpel (4)
- Genetics (4)
- Geoinformationssystem (4)
- Geomorphologie (4)
- Graphene (4)
- HPLC-MS (4)
- Heart (4)
- Herzmuskel (4)
- Herzmuskelzelle (4)
- Histone (4)
- Hyaluronsäure (4)
- Hypoxia (4)
- Höhengradient (4)
- Image Processing (4)
- Immunisierung (4)
- Immunmodulation (4)
- Immunsuppression (4)
- Impfung (4)
- Implantat (4)
- Inflammation (4)
- Infrarotspektroskopie (4)
- Innate immunity (4)
- Innovation (4)
- Integrine (4)
- Interleukin 4 (4)
- Ionenkanal (4)
- Jura <Geologie> (4)
- Kilimandscharo (4)
- Kommunikation (4)
- Korrelation (4)
- Kosmologie (4)
- Krebs (4)
- Krebsforschung (4)
- Kristallwachstum (4)
- Kutikularwachs (4)
- LEED (4)
- Landwirtschaft (4)
- Laserspektroskopie (4)
- Leishmania (4)
- Leishmaniose (4)
- Lernverhalten (4)
- Ligand (4)
- Lipide (4)
- Localization (4)
- MMB (4)
- MODIS (4)
- MRSA (4)
- Magnetic Resonance Imaging (4)
- Magnetoelektronik (4)
- Magnetowiderstand (4)
- Makrophagen (4)
- Mathematische Modellierung (4)
- Mathematisches Modell (4)
- Mechanismus (4)
- Medaka (4)
- Mehrkriterielle Optimierung (4)
- Meiosis (4)
- Mensch-Maschine-Schnittstelle (4)
- Mergers and Acquisitions (4)
- Merkel cell carcinoma (4)
- Mesenchymzelle (4)
- Metaanalyse (4)
- Metakognition (4)
- Metallosupramolekulare Chemie (4)
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- NEXAFS (4)
- NFAT (4)
- NIR-Spektroskopie (4)
- Nachhaltigkeit (4)
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- Nanooptik (4)
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- Nestbau (4)
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- OLED (4)
- Onkogen (4)
- Optimization (4)
- Orientierung (4)
- Overlay-Netz (4)
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- Parasit (4)
- Parkinson's disease (4)
- Peptide (4)
- Peptidsynthese (4)
- Permeabilität (4)
- Perovskite (4)
- Perylenbisdicarboximide <Perylen-3,4:9,10-bis(dicarboximide)> (4)
- Perylene Bisimide (4)
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- Physik (4)
- Physiologie (4)
- Phänologie (4)
- Plasmodium falciparum (4)
- Plasmon (4)
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- Porin (4)
- Posttranskriptionelle Regulation (4)
- Prescriptive Analytics (4)
- Primaten (4)
- Prognose (4)
- Proliferation (4)
- Protonen-NMR-Spektroskopie (4)
- Pump-Probe-Technik (4)
- Punktwolke (4)
- QM/MM (4)
- Quantenfeldtheorie (4)
- Quantenspinsystem (4)
- ROS (4)
- Raman (4)
- Rashba-Effekt (4)
- Rastertunnelmikroskopie (4)
- Reaktionsmechanismus (4)
- Rechnungslegung (4)
- Renormierungsgruppe (4)
- Resistenz (4)
- Rutheniumkomplexe (4)
- Röntgendiffraktometrie (4)
- SARS-CoV-2 (4)
- SERS (4)
- Salmonella (4)
- Schwämme (4)
- Sekundärmetabolit (4)
- Silicium (4)
- Smad (4)
- Sol-Gel-Verfahren (4)
- Solarzelle (4)
- Soziale Wahrnehmung (4)
- Spectroscopy (4)
- Stratigraphie (4)
- Supply Chain Management (4)
- Supramolekulare Struktur (4)
- Synapsine (4)
- TFIIH (4)
- Targeted drug delivery (4)
- Telekommunikationsnetz (4)
- Theoretische Physik (4)
- Toxin (4)
- Transcriptome (4)
- Transforming Growth Factor beta (4)
- Transiente Absorption (4)
- Transpiration <Pflanzen> (4)
- Triarylamine (4)
- Triarylborane (4)
- TrkB (4)
- Ubiquitinierung (4)
- Ultrafast spectroscopy (4)
- Ultraschnelle Photochemie (4)
- Ultraviolett-Photoelektronenspektroskopie (4)
- VASP (4)
- VSG (4)
- Venusfliegenfalle (4)
- Verarbeitungsflüssigkeit (4)
- Wasseroxidation (4)
- West Africa (4)
- Wide-gap-Halbleiter (4)
- Wirkstofffreisetzung (4)
- Zeitreihe (4)
- Zelladhäsion (4)
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Institut
- Graduate School of Life Sciences (769)
- Theodor-Boveri-Institut für Biowissenschaften (478)
- Physikalisches Institut (208)
- Institut für Informatik (139)
- Institut für Theoretische Physik und Astrophysik (122)
- Institut für Organische Chemie (113)
- Institut für Mathematik (112)
- Institut für Psychologie (110)
- Institut für Pharmazie und Lebensmittelchemie (100)
- Julius-von-Sachs-Institut für Biowissenschaften (88)
Schriftenreihe
Sonstige beteiligte Institutionen
- Fraunhofer-Institut für Silicatforschung ISC (5)
- Helmholtz Institute for RNA-based Infection Research (HIRI) (5)
- Technische Hochschule Nürnberg Georg Simon Ohm (3)
- Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Raumfahrtsysteme (2)
- EMBL Heidelberg (2)
- Institut für Tierökologie und Tropenbiologie (2)
- Rudolf Virchow Center for Integrative and Translational Bioimaging, University of Würzburg (2)
- Universität Belgrad, Serbien (2)
- Universitätsklinikum Münster (2)
- Universitätsklinikum Würzburg (2)
- Zentrum für Infektionsforschung (ZINF) Würzburg (2)
- Zentrum für Telematik e.V. (2)
- ACC GmbH Analytical Clinical Concepts (1)
- ATLAS Collaboration (1)
- Adam Opel AG (1)
- Airbus Defence and Space GmbH (1)
- Anthropology Department University of Tennessee, Knoxville (1)
- BMBF (1)
- Bio-Imaging Center Würzburg (1)
- Biomedical Center Munich, Department of Physiological Chemistry, Ludwig-Maximilians-Universität München (1)
- Biomedizinische NMR Forschungs GmbH am Max-Planck-Institut fuer biophysikalische Chemie (1)
- Boehringer Ingelheim Pharma GmbH & Co. KG (1)
- Bundesinstitut für Arzneimittel und Medizinprodukte (1)
- CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - the development agency of the Brazilian Federal Government (1)
- CERN (1)
- CERN (Geneva, Switzerland) (1)
- Carl-Ludwig-Institut für Physiologie, Universität Leipzig (1)
- Center for Nanosystems Chemistry (1)
- Chair of Experimental Biomedicine I (1)
- Cheng Lab, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA (1)
- DAAD - Deutscher Akademischer Austauschdienst (1)
- DLR (1)
- Department of Biochemistry (1)
- Department of Cellular Therapies, University of Navarra, Pamplona, Spain (1)
- Department of Mathematical Analysis, Faculty of Mathematics and Physics, Charles University in Prague (1)
- Department of Veterinary Sciences, Experimental Parasitology, Ludwig-Maximilians-Universität München (1)
- Department of X-ray Microscopy, University of Würzburg, Würzburg, Germany (1)
- Deutscher Akademischer Austauschdienst (DAAD) (1)
- Deutsches Krebsforschungszentrum Heidelberg (1)
- Deutsches Zentrum für Luft & Raumfahrt (DLR) (1)
- Deutsches Zentrum für Luft- und Raumfahrt (1)
- Deutsches Zentrum für Luft- und Raumfahrt (DLR) (1)
- Deutsches Zentrum für Luft- und Raumfahrt e.V. (1)
- EMBL Mouse Biology Unit, Monterotondo, Italien (1)
- ESPCI Paris (1)
- European Molecular Biology Laboratory, Heidelberg, Germany (1)
- European Space Agency (1)
- Evangelisches Studienwerk e.V. (1)
- Experimental Physics V, University of Wuerzburg (1)
- Expertenkreis zur Erarbeitung eines Stufenplans zur Diagnose und Therapie von Angsterkrankungen (1)
- Fachgebiet für Populationsgenomik bei Nutztieren, Universität Hohenheim (1)
- Forschungsverbund ForChange des Bayrischen Kultusministeriums (1)
- Fraunhofer ISC (1)
- Fraunhofer Insitut für Silicatforschung ISC (1)
- Fraunhofer Institute for Silicate Research ISC in Würzburg (1)
- Fraunhofer-Institut für Chemische Technologie (ICT) (1)
- Fraunhofer-Institute for Silicate Research ISC (1)
- Friedrich-Schiller-Universität Jena (1)
- GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel (1)
- Harvard Medical School, Boston, USA (1)
- Helmholtz Center for RNA-based Infection Research (1)
- Helmholtz Institut für RNA-basierte Infektionsforschung (1)
- Helmholtz Institute for RNA-based Infection Research (1)
- Helmholtz-Institut für RNA-basierte Infektionsforschung (1)
- IBMP - Institut für Biomedizinische und Pharmazeutische Forschung in Nürnberg-Heroldsberg (1)
- Institut Ruđer Bošković, Zagreb, Croatia (1)
- Institut für Hygiene und Mikrobiologie (1)
- Institut für Medizinische Mikrobiologie und Hygiene der Eberhard-Karls-Universität Tübingen (1)
- Institut für Organische Chemie, RWTH Aachen (1)
- Institut für klinische Neurobiologie (1)
- Institute for Biochemistry I, University of Cologne (1)
- Institute of Transformative Bio-Molecules, Nagoya University, Nagoya, Japan (1)
- Instituto de Higiene, Universidad de la República, Montevideo, Uruguay (1)
- Instituto de Hygiene Montevideo, Uruguay (1)
- Interdisziplinäre Zentrum für Klinische Forschung (IZKF) (1)
- Interdisziplinäres Zentrum für Klinische Forschung (IZKF) Würzburg (1)
- Joslin Diabetes Center, Harvard Medical School (1)
- Julius-von-Sachs-Institut für Biowissenschaften Lehrstuhl für Botanik II - Ökophysiologie und Vegetationsökologie (1)
- Klinik für Psychiatrie und Psychotherapie, Universität Würzburg (1)
- Klinik und Poliklinik für Anästhesiologie, Intensivmedizin, Notfallmedizin und Schmerztherapie des Universitätsklinikums Würzburg (1)
- Klinische Mikrobiologie am Universitätsklinikum Erlangen (1)
- König-Ludwig-Haus, Orthopedic Clinic, Würzburg (1)
- LMU München (1)
- Landesbetrieb Landwirtschaft Hessen, Bieneninstitut Kirchhain (1)
- Lehrkrankenhaus II. Medizinische Klinik Klinikum Coburg (1)
- Lehrstuhl für Bioinformatik (1)
- Lehrstuhl für Fernerkundung der Uni Würzburg, in Kooperation mit dem Deutschen Fernerkundungsdatenzentrum (DFD) des Deutschen Zentrums für Luft- und Raumfahrt (DLR) (1)
- Lehrstuhl für Tierökologie und Tropenbiologie, Universität Würzburg (1)
- Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V. (1)
- MRB Research Center for Magnetic-Resonance-Bavaria (1)
- Maastricht University, Department of Psychiatry and Neuropsychology (1)
- Maastricht University, Maastricht, the Netherlands (1)
- Mathematical Institute, Czech Academy of Sciences (1)
- Max Delbrück Center for Molecular Medicine (1)
- Max-Delbrück-Center für molekulare Medizin, Berlin (1)
- Medizinische Klinik und Poliklinik 1, Abteilung Kardiologie (1)
- Medizinische Klinik und Poliklinik 1, Abteilung Nephrologie (1)
- Medizinische Universität Innsbruck (1)
- Michigan State University (1)
- National Park "Bavarian Forest" (1)
- New York Blood Center (1)
- Novartis AG (1)
- Novartis Pharma AG, Switzerland (1)
- OTH Regensburg (1)
- Opel Automobile GmbH (1)
- Ostbayerische Technische Hochschule Regensburg (1)
- Paul-Scherrer-Institut, Villigen, CH (1)
- Pharmakologie, Universität Bonn (1)
- Pharmazie, Universität Mailand (1)
- Politecnico di Milano (1)
- Queensland University of Technology (1)
- Research Center for Infectious Diseases, University of Würzburg (1)
- Roche Diagnostics GmbH Penzberg (1)
- Rudolf-Virchow-Zentrum für Experimentelle Biomedizin der Universität Würzburg (1)
- Sahin Lab, F.M. Kirby Neurobiology Center Boston Children’s Hospital, Department of Neurology, Harvard Medical School (1)
- Siemens Corporate Technology Munich (1)
- Spanish National Center for Biotechnology (CNB-CSIC) (1)
- Spectral Service AG (1)
- Synchrotron SOLEIL, Gif-sur-Yvette (1)
- Tanzania Food and Drugs Authority (1)
- Technische Universität Darmstadt (1)
- Technische Universität Dresden (1)
- The project was founded by IZKF (1)
- Tropenmedizin, Klinikum Würzburg Mitte gGmbH, Missioklinik (1)
- University of Applied Sciences Aschaffenburg (1)
- University of Applied Sciences and Arts Western Switzerland, Fribourg (1)
- University of Birmingham, Medical School, Institute of Biomedical Research (1)
- University of Leipzig, Faculty of Life Sciences, Institute for Biology (1)
- University of Stellenbosch, Division of Medical Virology (1)
- University of Twente (The Netherlands) (1)
- Universität Bielefeld (1)
- Universität Duisburg-Essen, Institut für Molekularbiologie, AG Becker-Flegler (1)
- Universität Würzburg GmbH für Bildungs- und Campusdienstleistungen (1)
- Universitätsklinikum Würzburg (UKW) (1)
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- Université d'Abomey-Calavi, Benin (1)
- Université de Bordeaux, Bordeaux, France (1)
- Université de Montréal (1)
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- ZINF Research Center for Infectious Diseases (1)
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ResearcherID
- B-1911-2015 (1)
- B-4606-2017 (1)
- C-2593-2016 (1)
- D-1250-2010 (1)
- I-5818-2014 (1)
- J-8841-2015 (1)
- M-1240-2017 (1)
- N-2030-2015 (1)
- N-3741-2015 (1)
EU-Projektnummer / Contract (GA) number
- 311781 (1)
- 320377 (1)
- EU (FP7/ 2007-2013) (1)
In 2020, cancer was the leading cause of death worldwide, accounting for nearly 10 million deaths. Lung cancer was the most common cancer, with 2.21 million cases per year in both sexes. This non-homogeneous disease is further subdivided into small cell lung cancer (SCLC, 15%) and non-small cell lung cancer (NSCLC, 85%). By 2023, the American Cancer Society estimates that NSCLC will account for 13% of all new cancer cases and 21% of all estimated cancer deaths. In recent years, the treatment of patients with NSCLC has improved with the development of new therapeutic interventions and the advent of targeted and personalised therapies. However, these advances have only marginally improved the five-year survival rate, which remains alarmingly low for patients with NSCLC. This observation highlights the importance of having more appropriate experimental and preclinical models to recapitulate, identify and test novel susceptibilities in NSCLC. In recent years, the Trp53fl/fl KRaslsl-G12D/wt mouse model developed by Tuveson, Jacks and Berns has been the main in vivo model used to study NSCLC. This model mimics ADC and SCC to a certain extent. However, it is limited in its ability to reflect the genetic complexity of NSCLC. In this work, we use CRISPR/Cas9 genome editing with targeted mutagenesis and gene deletions to recapitulate the conditional model. By comparing the Trp53fl/fl KRaslsl- G12D/wt with the CRISPR-mediated Trp53mut KRasG12D, we demonstrated that both showed no differences in histopathological features, morphology, and marker expression. Furthermore, next-generation sequencing revealed a very high similarity in their transcriptional profile. Adeno-associated virus-mediated tumour induction and the modular design of the viral vector allow us to introduce additional mutations in a timely manner. CRISPR-mediated mutation of commonly mutated tumour suppressors in NSCLC reliably recapitulated the phenotypes described in patients in the animal model. Lastly, the dual viral approach could induce the formation of lung tumours not only in constitutive Cas9 expressing animals, but also in wildtype animals. Thus, the implementation of CRISPR genome editing can rapidly advance the repertoire of in vivo models for NSCLC research. Furthermore, it can reduce the necessity of extensive breeding.
Physical regimes characterized by low Mach numbers and steep stratifications pose severe challenges to standard finite volume methods. We present three new methods specifically designed to navigate these challenges by being both low Mach compliant and well-balanced. These properties are crucial for numerical methods to efficiently and accurately compute solutions in the regimes considered.
First, we concentrate on the construction of an approximate Riemann solver within Godunov-type finite volume methods. A new relaxation system gives rise to a two-speed relaxation solver for the Euler equations with gravity. Derived from fundamental mathematical principles, this solver reduces the artificial dissipation in the subsonic regime and preserves hydrostatic equilibria. The solver is particularly stable as it satisfies a discrete entropy inequality, preserves positivity of density and internal energy, and suppresses checkerboard modes.
The second scheme is designed to solve the equations of ideal MHD and combines different approaches. In order to deal with low Mach numbers, it makes use of a low-dissipation version of the HLLD solver and a partially implicit time discretization to relax the CFL time step constraint. A Deviation Well-Balancing method is employed to preserve a priori known magnetohydrostatic equilibria and thereby reduces the magnitude of spatial discretization errors in strongly stratified setups.
The third scheme relies on an IMEX approach based on a splitting of the MHD equations. The slow scale part of the system is discretized by a time-explicit Godunov-type method, whereas the fast scale part is discretized implicitly by central finite differences. Numerical dissipation terms and CFL time step restriction of the method depend solely on the slow waves of the explicit part, making the method particularly suited for subsonic regimes. Deviation Well-Balancing ensures the preservation of a priori known magnetohydrostatic equilibria.
The three schemes are applied to various numerical experiments for the compressible Euler and ideal MHD equations, demonstrating their ability to accurately simulate flows in regimes with low Mach numbers and strong stratification even on coarse grids.
The WHO-designated neglected-disease pathogen Chlamydia trachomatis (CT) is a gram-negative bacterium responsible for the most frequently diagnosed sexually transmitted infection worldwide. CT infections can lead to infertility, blindness and reactive arthritis, among others. CT acts as an infectious agent by its ability to evade the immune response of its host, which includes the impairment of the NF-κB mediated inflammatory response and the Mcl1 pro-apoptotic pathway through its deubiquitylating, deneddylating and transacetylating enzyme ChlaDUB1 (Cdu1). Expression of Cdu1 is also connected to host cell Golgi apparatus fragmentation, a key process in CT infections.
Cdu1 may this be an attractive drug target for the treatment of CT infections. However, a lead molecule for the development of novel potent inhibitors has been unknown so far. Sequence alignments and phylogenetic searches allocate Cdu1 in the CE clan of cysteine proteases. The adenovirus protease (adenain) also belongs to this clan and shares a high degree of structural similarity with Cdu1. Taking advantage of topological similarities between the active sites of Cdu1 and adenain, a target-hopping approach on a focused set of adenain inhibitors, developed at Novartis, has been pursued. The thereby identified cyano-pyrimidines represent the first active-site directed covalent reversible inhibitors for Cdu1. High-resolution crystal structures of Cdu1 in complex with the covalently bound cyano-pyrimidines as well as with its substrate ubiquitin have been elucidated. The structural data of this thesis, combined with enzymatic assays and covalent docking studies, provide valuable insights into Cdu1s activity, substrate recognition, active site pocket flexibility and potential hotspots for ligand interaction. Structure-informed drug design permitted the optimization of this cyano-pyrimidine based scaffold towards HJR108, the first molecule of its kind specifically designed to disrupt the function of Cdu1. The structures of potentially more potent and selective Cdu1 inhibitors are herein proposed.
This thesis provides important insights towards our understanding of the structural basis of ubiquitin recognition by Cdu1, and the basis to design highly specific Cdu1 covalent inhibitors.
This dissertation explores the development and assessment of inhibitory control – a crucial component of executive functions – in young children. Inhibitory control, defined as the ability to suppress inappropriate responses (Verbruggen & Logan, 2008), is essential for adaptable and goal-oriented behavior. The rapid and non-linear development of this cognitive function in early childhood presents unique challenges for accurate assessment. As children age, they often exhibit a ceiling effect in terms of response accuracy (Petersen et al., 2016), underscoring the need to consider response latency as well. Ideally, combining response latency with accuracy could yield a more precise measure of inhibitory control (e.g., Magnus et al., 2019), facilitating a detailed tracking of developmental changes in inhibitory control across a wider age spectrum. The three studies of this dissertation collectively aim to clarify the relationship between response accuracy, response latency, and inhibitory control across different stages of child development. Each study utilizes a computerized Pointing Stroop Task (Berger et al., 2000) to measure inhibitory control, examining the task's validity and the integration of dual metrics for a more comprehensive evaluation.
The first study focuses on establishing the validity of using both response accuracy and latency as indicators of inhibitory control. Utilizing the framework of explanatory item-response modeling (De Boeck & Wilson, 2004), the study revealed how the task characteristics congruency and item position influence both the difficulty level and timing aspects in young children’s responses in the computerized Pointing Stroop task. Further, this study found that integrating response accuracy with latency, even in a basic manner, provides additional insights. Building upon these findings, the second study investigates the nuances of integrating response accuracy and latency, examining whether this approach can account for age-related differences in inhibitory control. It also explores whether response latencies may contain different information depending on the age and proficiency of the children. The study leverages novel and established methodological perspectives to integrate response accuracy and latency into a single metric, showing the potential applicability of different approaches for assessing inhibitory control development. The third study extends the investigation to a longitudinal perspective, exploring the dynamic relationship between response accuracy, latency, and inhibitory control over time. It assesses whether children who achieve high accuracy at an earlier age show faster improvement in response latency, suggesting a non-linear maturation pathway of inhibitory control. The study also examines if the predictive value of early response latency for later fluid intelligence is dependent on the response accuracy level.
Together, these empirical studies contribute to a more robust understanding of the complex interaction between inhibitory control, response accuracy, and response latency, facilitating valid evaluations of cognitive capabilities in children. Moreover, the findings may have practical implications for designing educational strategies and clinical interventions that address the developmental trajectory of inhibitory control. The nuanced approach advocated in this dissertation suggests prioritizing accuracy in assessment and interventions during the early stages of children's cognitive development, gradually shifting the focus to response latency as children mature and secure their inhibitory control abilities.
The focus of this thesis is on analysing a linear stochastic partial differential equation (SPDE) with a bounded domain. The first part of the thesis commences with an examination of a one-dimensional SPDE. In this context, we construct estimators for the parameters of a parabolic SPDE based on discrete observations of a solution in time and space on a bounded domain. We establish central limit theorems for a high-frequency asymptotic regime, showing substantially smaller asymptotic variances compared to existing estimation methods. Moreover, asymptotic confidence intervals are directly feasible. Our approach builds upon realized volatilities and their asymptotic illustration as the response of a log-linear model with a spatial explanatory variable. This yields efficient estimators based on realized volatilities with optimal rates of convergence and minimal variances. We demonstrate our results by Monte Carlo simulations.
Extending this framework, we analyse a second-order SPDE model in multiple space dimensions in the second part of this thesis and develop estimators for the parameters of this model based on discrete observations in time and space on a bounded domain. While parameter estimation for one and two spatial dimensions was established in recent literature, this is the first work that generalizes the theory to a general, multi-dimensional framework. Our methodology enables the construction of an oracle estimator for volatility within the underlying model. For proving central limit theorems, we use a high-frequency observation scheme. To showcase our results, we conduct a Monte Carlo simulation, highlighting the advantages of our novel approach in a multi-dimensional context.
Two-dimensional lattices are in the focus of research in modern solid state physics due to their novel and exotic electronic properties with tremendous potential for seminal future applications. Of particular interest within this research field are quantum spin Hall insulators which are characterized by an insulating bulk with symmetry-protected metallic edge states. For electrons within these one-dimensional conducting channels, spin-momentum locking enables dissipationless transport - a property which promises nothing short of a revolution for electronic devices. So far, however, quantum spin Hall materials require enormous efforts to be realized such as cryogenic temperatures or ultra-high vacuum. A potential candidate to overcome these shortcomings are two-dimensional lattices of the topological semi-metal antimony due to their potential to host the quantum spin Hall effect while offering improved resilience against oxidation.
In this work, two-dimensional lattices of antimony on different substrates, namely Ag(111), InSb(111) and SiC(0001), are investigated regarding their atomic structure and electronic properties with complimentary surface sensitive techniques. In addition, a systematic oxidation study compares the stability of Sb-SiC(0001) with that of the two-dimensional topological insulators bismuthene-SiC(0001) and indenene-SiC(0001).
A comprehensive experimental analysis of the \((\sqrt{3}\times\sqrt{3})R30^\circ\) Sb-Ag(111) surface, including X-ray standing wave measurements, disproves the proclaimed formation of a buckled antimonene lattice in literature. The surface lattice can instead be identified as a metallic Ag\(_2\)Sb surface alloy.
Antimony on InSb(111) shows an unstrained Volmer-Weber island growth due to its large lattice mismatch to the substrate. The concomitant moir\'{e} situation at the interface imprints mainly in a periodic height corrugation of the antimony islands which as observed with scanning tunneling microscopy. On islands with various thicknesses, quasiparticle interference patterns allow to trace the topological surface state of antimony down to the few-layer limit.
On SiC(0001), two different two-dimensional antimony surface reconstructions are identified. Firstly, a metallic triangular $1\times1$ lattice which constitutes the antimony analogue to the topological insulator indenene. Secondly, an insulating asymmetric kagome lattice which represents the very first realized atomic surface kagome lattice.
A comparative, systematic oxidation study of elemental (sub-)monolayer materials on SiC(0001) reveals a high sensitivity of indenene and bismuthene to small dosages of oxygen. An improved resilience is found for Sb-SiC(0001) which, however, oxidizes nevertheless if exposed to oxygen. These surface lattices are therefore not suitable for future applications without additional protective measures.
In this thesis, a variety of Fokker--Planck (FP) optimal control problems are investigated. Main emphasis is put on a first-- and second--order analysis of different optimal control problems, characterizing optimal controls, establishing regularity results for optimal controls, and providing a numerical analysis for a Galerkin--based numerical scheme.
The Fokker--Planck equation is a partial differential equation (PDE) of linear parabolic type deeply connected to the theory of stochastic processes and stochastic differential equations. In essence, it describes the evolution over time of the probability distribution of the state of an object or system of objects under the influence of both deterministic and stochastic forces.
The FP equation is a cornerstone in understanding and modeling phenomena ranging from the diffusion and motion of molecules in a fluid to the fluctuations in financial markets.
Two different types of optimal control problems are analyzed in this thesis. On the one hand, Fokker--Planck ensemble optimal control problems are considered that have a wide range of applications in controlling a system of multiple non--interacting objects. In this framework, the goal is to collectively drive each object into a desired state.
On the other hand, tracking--type control problems are investigated, commonly used in parameter identification problems or stemming from the field of inverse problems.
In this framework, the aim is to determine certain parameters or functions of the FP equation, such that the resulting probability distribution function takes a desired form, possibly observed by measurements.
In both cases, we consider FP models where the control functions are part of the drift, arising only from the deterministic forces of the system. Therefore, the FP optimal control problem has a bilinear control structure.
Box constraints on the controls may be present, and the focus is on time--space dependent controls for ensemble--type problems and on only time--dependent controls for tracking--type optimal control problems.
In the first chapter of the thesis, a proof of the connection between the FP equation and stochastic differential equations is provided. Additionally, stochastic optimal control problems, aiming to minimize an expected cost value, are introduced, and the corresponding formulation within a deterministic FP control framework is established.
For the analysis of this PDE--constrained optimal control problem, the existence, and regularity of solutions to the FP problem are investigated. New $L^\infty$--estimates for solutions are established for low space dimensions under mild assumptions on the drift. Furthermore, based on the theory of Bessel potential spaces, new smoothness properties are derived for solutions to the FP problem in the case of only time--dependent controls. Due to these properties, the control--to--state map, which associates the control functions with the corresponding solution of the FP problem, is well--defined, Fréchet differentiable and compact for suitable Lebesgue spaces or Sobolev spaces.
The existence of optimal controls is proven under various assumptions on the space of admissible controls and objective functionals. First--order optimality conditions are derived using the adjoint system. The resulting characterization of optimal controls is exploited to achieve higher regularity of optimal controls, as well as their state and co--state functions.
Since the FP optimal control problem is non--convex due to its bilinear structure, a first--order analysis should be complemented by a second--order analysis.
Therefore, a second--order analysis for the ensemble--type control problem in the case of $H^1$--controls in time and space is performed, and sufficient second--order conditions are provided. Analogous results are obtained for the tracking--type problem for only time--dependent controls.
The developed theory on the control problem and the first-- and second--order optimality conditions is applied to perform a numerical analysis for a Galerkin discretization of the FP optimal control problem. The main focus is on tracking-type problems with only time--dependent controls. The idea of the presented Galerkin scheme is to first approximate the PDE--constrained optimization problem by a system of ODE--constrained optimization problems. Then, conditions on the problem are presented such that the convergence of optimal controls from one problem to the other can be guaranteed.
For this purpose, a class of bilinear ODE--constrained optimal control problems arising from the Galerkin discretization of the FP problem is analyzed. First-- and second--order optimality conditions are established, and a numerical analysis is performed. A discretization with linear finite elements for the state and co--state problem is investigated, while the control functions are approximated by piecewise constant or piecewise quadratic continuous polynomials. The latter choice is motivated by the bilinear structure of the optimal control problem, allowing to overcome the discrepancies between a discretize--then--optimize and optimize--then--discretize approach. Moreover, second--order accuracy results are shown using the space of continuous, piecewise quadratic polynomials as the discrete space of controls. Lastly, the theoretical results and the second--order convergence rates are numerically verified.
This work presents the first ILT observations of high redshift blazars and their study in terms of jet evolution, morphology, and interaction with the surrounding medium. Each of these represents a highly topical area of astronomywith a large number of open questions. To better understand Active Galactic Nuclei (AGN) and their fundamental inner workings, new techniques are needed to exploit the full potential of the next generation of radio interferometers. Some of these tools are presented here and applied to one of the latest generation of software radio telescopes. A major focus of the studies presented is on the unification model, where the observed blazars are discussed for their properties to be rotated counterparts of Fanaroff-Riley Class II (FR-II) radio galaxies, when classified as Flat Spectrum Radio Quasars (FSRQs). In addition, multiwavelength information has been included in the analysis. Both studies are feasibility studies that will serve as a basis for future similar studies. The characteristics discussed and their interpretation do not allow conclusions to be drawn for their respective populations. However, by applying them to a larger number of targets, population studies will be possible. The first chapters introduce the necessary topics, AGN, principles of radio observations and ILT, in the necessary depth to provide the reader with a solid knowledge base. They are particularly important for understanding the current limits and influences of uncertainties in the observation, calibration and imaging process. But they also shed light on realistic future improvements. A particular focus is on the development and evolution of the LOw-Frequency ARray (LOFAR)-Very Long Baseline Interferometry (VLBI) pipeline. With the tools at hand, the first study addresses the high redshift blazar S5 0836+710 $(z=2.218)$, which has been observed at various wavelengths and resolutions. It has a disrupted one-sided jet with an associated extended region further out. Despite the excellent wavelength coverage, only the additional ILT observations provided a complete picture of the source. With the data, the extended region could be classified as a hotspot moving at slightly relativistic speeds.. With the ILT data it was also possible to extract the flux of the core region of the AGN, and in projection to reveal the mixed counter-hotspot behind it. This also allowed constraints on jet parameters and environmental properties to be modelled, which were previously inconclusive. Technically, this study shows that the ILT can be used as an effective VLBI array for compact sources with small angular scales. However, the detection of faint components beyond redshifts of $z=2$ may require the capabilities of the Square Kilometre Array (SKA) to provide a significant number of detections to enable statistical conclusions. The second study uses a much improved calibration pipeline to analyse the high redshift blazar GB1508+5714 $(z=4.30)$. The ILT data revealed a previously unseen component in the eastern direction. A spectral index map was generated from the Karl G. Jansky Very Large Array (VLA) data, showing spectral index values of $-1.2_{-0.2}^{+0.4}$ for the western component, steeper than $-1.1$ for the eastern region, and $0.023 \pm 0.007$ for the core. Using the information provided by the ILT observation, as well as multi-wavelength information from other observations ranging from the long radio wavelengths to the $\gamma$ regime, four models were developed to interpret the observed flux with different emission origins. This also allowed to test a proposed interaction channel of the electrons provided by the jet, to cool off via inverse compton scattering with the Cosmic Microwave Background (CMB) photons, rather than by the usual synchrotron emission. This is referred to as cmb quenching in the literature, which could be shown in the study, to be necessary in any case. Finally, one of the four models was considered in which the hotspots in the detected components are unresolved and mixed by the lobe emission, with the X-ray emission coming from the lobes and partially mixed by the bright core region. The results of this preferred model are consistent with hotspots in a state of equipartition and lobes almost so. The study shows that high redshift blazars can be studied with the ILT, and expanding the sample of high redshift blazars resolved at multiple frequencies will allow a statistical study of the population. Finally, this work successfully demonstrates the powerful capabilities of the ILT to address questions that were previously inaccessible. The current state of the LOFAR-VLBI pipeline, when properly executed, allows work on the most challenging objects and will only improve in the future. In particular, this gives a glimpse of the possibilities that SKA will bring to astronomy.
Helically Twisted Graphene Nanoribbons: Bottom-up Stereospecific Synthesis and Characterization
(2024)
Over the past decade, substantial progress has been made in synthesizing atomically precise carbon nanostructures, with a focus on graphene nanoribbons (NRs) through advanced synthetic techniques. Despite these advancements, precise control over the stereochemistry of twisted NRs remains challenging. This thesis introduces a strategic approach to achieve absolute control over the single-handed helical conformation in a cove-edged NR, utilizing enantiopure [n]helicenes as a molecular wrench to intricately dictate the overall conformation of the NR.
Enantiopure [7]helicenes were stitched to the terminal K-regions of a conjugated pyrene NR using a stereospecific and site-selective palladium(II)-catalyzed annulative π-extension (APEX) reaction, resulting in a helically twisted NR with an end-to-end twist of 171°, the second-largest twist reported so far in the literature for twistacenes. The helical end-to-end twist increases with each addition of benzene ring to the central acene core, suggesting that the extra strain induced by the terminal [7]helicenes maintains such a high level of twist.
The quantum chemical calculations were conducted to investigate the impact of twisting on the conformational population. At room temperature, the central backbone of the nanoribbon adopts the twisted helicity opposite to that of the attached [7]helicene, constituting around 99% of the molecular population. For instance, (P)-[7]helicenes produce a left-handed helical nanoribbon, while (M)-[7]helicenes produce a right-handed helical nanoribbon. In the presence of helicenes of opposite chirality, the nanoribbon adopts a waggling conformation. The helically twisted nanoribbons are conformationally robust, as variable temperature chiroptical measurements showed no change in CD and CPL spectra. The proposed strategy, involving the late-stage addition of [n]helicene units through the APEX reaction, appears promising for streamlining the synthesis of diverse cove edge NR variants with desired conformations.
In addition to single-handed helically twisted nanoribbons, the symmetry-based functional properties of C2 and C1 symmetric pyrene-fused single and double [n]helicene compounds were studied. Owing to its higher structural rigidity, the C1 symmetric heptagonal ring-containing molecules exhibited exceptional configurational stability along with remarkable chiroptical properties compared to their C2 symmetric as well as pristine helicene congeners.
The goal of this thesis was to investigate the influence of rotational restriction between individual parts and of the varying electron density in the bridging unit of D B A systems on the exchange interaction 2J, and thus the electronic coupling between a donor state and an acceptor state. A better understanding of how to influence the underlaying spin dynamics in such donor acceptor systems can open up the door to new technologies, such as modern molecular electronics or optoelectronic devices.
Therefore, three series of molecules consisting of a TAA electron donor, a TTC or ATC bridging unit and a PDI electron acceptor were studied. To investigate the influence of rotational restriction on 2J and the electronic coupling, a series of four rotationally hindered triads (chapter 6) was synthesised. The dihedral angle between the TAA and the TTC as well as between the TTC and the PDI was restricted by ortho methyl groups at the phenylene linkers of the connecting ends to the TTC bridge, producing a twist around the linking single bond which minimises the π overlap. The triads exhibit varying numbers of ortho methyl groups and therefore different degrees of rotational restriction. In order to shine light on the influence of varying electron density on 2J and the electronic coupling, a series of four substituted triptycene triads (chapter 7) was synthesised. The electron density in the TTC bridging unit was varied by electron donating and electron withdrawing groups in 12,13 position of the TTC bridging unit and thus varying its HOMO/LUMO energy. The last series of two anthracene bridge triads (chapter 8) connected both approaches by restricting the rotation with ortho methyl groups and simultaneously by varying the bridge energies.
In order to obtain the electronic properties, steady state absorption and emission spectra of all triads were investigated (chapter 4). Here, all triads show spectral features associated with the separate absorption bands of TAA and the PDI moiety. The reduced QYs, compared to the unsubstituted PDI acceptor, indicate a non radiative quenching mechanism in all triads. The CV data (chapter 5) were used to calculate the energies of possible CSSs and those results were used to assign the CR dynamics into the different Marcus regions. fs TA measurements reveal that all triads form a CSS upon excitation of the PDI moiety. The lifetimes of the involved states and the rate constants were determined by global exponential fits and global target analysis. The CR dynamics upon depopulation of the CSSs were investigated using external magnetic field dependent ns TA spectroscopy. The ns TA maps show that all triads recombine via CRT pathway populating the local 3PDI state in toluene and provided the respective lifetimes. The approximate QYs of triplet formation were determined using actinometry. The magnetic field dependent ns TA data reveal the exchange interaction 2J between singlet and triplet CSS for each triad. Those magnetic field dependent ns TA data in toluene were furthermore treated using a quantum mechanical simulation (done by U.E. Steiner) to extract the rate constants kT and kS for CRT and CRS, respectively. However, the error margins of kS were rather wide. Finally, the electronic couplings between the donor and the acceptor states were obtained by combining the aforementioned experimental results of the rate constants and applying the Bixon Jortner theoretical description of diabatic ET and Andersons perturbative theory of the exchange coupling. Therefore, the experimentally determined values of 2J and the calculated values of kCS and kT were used. The rate constant kS was calculated based on the electronic coupling V1CSS 1S0.
The rotationally hindered triads (chapter 6) show a strong influence of the degree of rotational restriction on the lifetimes and rate constants of the CS processes. The rate constants of CS are increasing with increasing rotational freedom. The magnetic field dependent decay data show that the exchange interactions increase with increasing rotational freedom. Based on the CR dynamics, the calculated electronic couplings of the ET processes reflect the same trend along the series. Here, only singlet couplings turned out to be strongly influenced while the triplet couplings are not. Therefore, this series shows that the ET dynamics of donor acceptor systems can strongly be influenced by restricting the rotational freedom.
In the substituted triptycene triads (chapter 7), decreasing electron density in the bridging unit causes a decrease of the CS rate constants. The magnetic field dependent decay data show that with decreasing electron density in the bridge the exchange interaction decreases. The CR dynamics-based rate constants and the electronic couplings follow the same trend as the exchange interaction. This series shows that varying the HOMO/LUMO levels of the connecting bridge between donor and acceptor strongly influences the ET processes.
In the anthracene bridge triads (chapter 8), the CS process is slow in both triads. The CR was fast in the anthracene triad and is slowed down in the methoxy substituted anthracene bridge triad. The increase of the exchange interaction with increasing electron density in the bridge was more pronounced than in the substituted triptycene triads. Thus, the variation of electron density in the bridge strongly influences the ET processes even though the rotation is restricted.
In this thesis, it was shown that the influence of the rotational hindrance as well as the electron density in a connecting bridge have strong influence on all ET processes and the electronic coupling in donor acceptor systems. These approaches can therefore be used to modify magnetic properties of new materials.
In a world of constant change, uncertainty has become a daily challenge for businesses. Rapidly shifting market conditions highlight the need for flexible responses to unforeseen events. Operations Management (OM) is crucial for optimizing business processes, including site planning, production control, and inventory management. Traditionally, companies have relied on theoretical models from microeconomics, game theory, optimization, and simulation. However, advancements in machine learning and mathematical optimization have led to a new research field: data-driven OM.
Data-driven OM uses real data, especially time series data, to create more realistic models that better capture decision-making complexities. Despite the promise of this new research area, a significant challenge remains: the availability of extensive historical training data. Synthetic data, which mimics real data, has been used to address this issue in other machine learning applications.
Therefore, this dissertation explores how synthetic data can be leveraged to improve decisions for data-driven inventory management, focusing on the single-period newsvendor problem, a classic stochastic optimization problem in inventory management.
The first article, "A Meta Analysis of Data-Driven Newsvendor Approaches", presents a standardized evaluation framework for data-driven prescriptive approaches, tested through a numerical study. Findings suggest model performance is not robust, emphasizing the need for a standardized evaluation process.
The second article, "Application of Generative Adversarial Networks in Inventory Management", examines using synthetic data generated by Generative Adversarial Networks (GANs) for the newsvendor problem. This study shows GANs can model complex demand relationships, offering a promising alternative to traditional methods.
The third article, "Combining Synthetic Data and Transfer Learning for Deep Reinforcement Learning in Inventory Management", proposes a method using Deep Reinforcement Learning (DRL) with synthetic and real data through transfer learning. This approach trains a generative model to learn demand distributions, generates synthetic data, and fine-tunes a DRL agent on a smaller real dataset. This method outperforms traditional approaches in controlled and practical settings, though further research is needed to generalize these findings.
Plants are able to sense mechanical forces in order to defend themselves against predators,
for instance by synthesizing repellent compounds. Very few plants evolved extremely sensitive
tactile abilities that allow them to perceive, interpret and respond by rapid movement in the
milliseconds range. One such rarity is the charismatic Venus flytrap (Dionaea muscipula) - a
carnivorous plant which relies on its spectacular active trapping strategy to catch its prey. The
snapping traps are equipped with touch-specialised trigger hairs, that upon bending elicit an
action potential (AP). This electrical signal originates within the trigger hairs’ mechanosensory
cells and further propagates throughout the whole trap, alerting the plant of potential prey.
Two APs triggered within thirty seconds will set off the trap and more than five APs will
initiate the green stomach formation for prey decomposition and nutrient uptake. Neither
the molecular components of the plant’s AP nor the Venus flytrap’s fast closure mechanism
have been fully elucidated yet. Therefore, the general objective of this study is to expound
on the molecular basis of touch perception: from AP initiation to trap closure and finally to
stomach formation.
The typical electrical signal in plants lasts for minutes and its shape is determined by the
intensity of the mechanical force applied. In contrast, the Venus flytrap’s one-second AP is of
all-or-nothing type, similar in shape to the animal AP. In order to gain more insight into the
molecular components that give rise to the Venus flytrap’s emblematic AP, the transcriptomic
landscape of its unique mechanotransducer - the trigger hair – was compared to the rest
of the non-specialised tissues and organs. Additionally, the transcriptome of the electrically
excitable fully-developed adult trap was compared to non-excitable juvenile traps that are
unable to produce sharp APs. Together, the two strategies helped with the identification of
electrogenic channels and pumps for each step of the AP as follows: (1) the most specific to
the trigger hair was the mechanosensitive channel DmMSL10, making up the best candidate for
the initial AP depolarization phase, (2) the K+ outward rectifier DmSKOR could be responsible
for repolarisation, (3) further, the proton pump DmAHA4, might kick in during repolarisation
and go on with hyperpolarisation and (4) the hyperpolarization- and acid-activated K+ inward
rectifier KDM1 might contribute to the re-establishment of electrochemical gradient and
the resting potential. Responsible for the AP-associated Ca2+ wave and electrical signal
propagation, the glutamate-like receptor DmGLR3.6 was also enriched in the trigger hairs.
Together, these findings suggest that the reuse of genes involved in electrical signalling in
ordinary plants can give rise to the Venus flytrap’s trademark AP.
The Venus flytrap has been cultivated ever since its discovery, generating more than one
hundred cultivars over the years. Among them, indistinguishable from a normal Venus flytrap
at first sight, the ’ERROR’ cultivar exhibits a peculiar behaviour: it is unable to snap its traps
upon two APs. Nevertheless, it is still able to elicit normal APs. To get a better understanding
of the key molecular mechanisms and pathways that are essential for a successful trap closure,
the ’ERROR’ mutant was compared to the functional wild type.
Timelapse photography led to the observation that the ’ERROR’ mutants were able to leisurely
half close their traps when repeated mechanostimulation was applied (10 minutes after 20
APs, 0.03 Hz). As a result of touch or wounding in non-carnivorous plants, jasmonic acid
(JA) is synthesized, alerting the plants of potential predators. Curiously, the JA levels were reduced upon mechanostimulation and completely impaired upon wounding in the ’ERROR’
mutant. In search of genes accountable for the ’ERROR’ mutant’s defects, the transcriptomes
of the two phenotypes were compared before and after mechanostimulation (1h after 10
APs, 0.01 Hz). The overall dampened response of the mutant compared to the wild type,
was reflected at transcriptomic level as well. Only about 50% of wild type’s upregulated
genes after touch stimulation were differentially expressed in ’ERROR’ and they manifested
only half of the wild type’s expression amplitude. Among unresponsive functional categories
of genes in ’ERROR’ phenotype, there were: cell wall integrity surveilling system, auxin
biosynthesis and stress-related transcription factors from the ethylene-responsive AP2/ERF and
C2H2-ZF families. Deregulated Ca2+-decoding as well as redox-related elements together with
JA-pathway components might also contribute to the malfunctioning of the ’ERROR’ mutant. As
the mutant does not undergo full stomach formation after mechanical treatment, these missing
processes represent key milestones that might mediate growth-defence trade-offs under JA
signalling. This confirms the idea that carnivory has evolved by recycling the already available
molecular machineries of the ubiquitous plant immune system.
To better understand the mutant’s defect in the trap snapping mechanism, the ground states
(unstimulated traps) of the two phenotypes were compared. In this case, many cell wall-related
genes (e.g. expansins) were downregulated in the ’ERROR’ mutant. For the first time, these
data point to the importance of a special cell wall architecture of the trap, that might confer
the mechanical properties needed for a functional buckling system - which amplifies the speed
of the trap closure.
This study provides candidate channels for each of the AP phases that give rise to and shape
the sharp Venus flytrap-specific AP. It further underlines the possible contribution of the cell
wall architecture to the metastable ready-to-snap configuration of the trap before stimulation
- which might be crucial for the buckling-dependent snapping. And finally, it highlights
molecular milestones linked to defence responses that ensure trap morphing into a green
stomach after mechanostimulation. Altogether, these processes prove to be interdependent
and essential for a successful carnivorous lifestyle.
Colorectal Cancer (CRC) is the third most common cancer in the US. The majority of CRC cases are due to deregulated WNT-signalling pathway. These alterations are mainly caused by mutations in the tumour suppressor gene APC or in CTNNB1, encoding the key effector protein of this pathway, β-Catenin. In canonical WNT-signalling, β-Catenin activates the transcription of several target genes, encoding for proteins involved in proliferation, such as MYC, JUN and NOTCH. Being such a critical regulator of these proto-oncogenes, the stability of β-Catenin is tightly regulated by the Ubiquitin-Proteasome System. Several E3 ligases that ubiquitylate and degrade β-Catenin have been described in the past, but the antagonists, the deubiquitylases, are still unknown. By performing an unbiased siRNA screen, the deubiquitylase USP10 was identified as a de novo positive regulator of β-Catenin stability in CRC derived cells. USP10 has previously been shown in the literature to regulate both mutant and wild type TP53 stability, to deubiquitylate NOTCH1 in endothelial cells and to be involved in the regulation of AMPKα signalling. Overall, however, its role in colorectal tumorigenesis remains controversial. By analysing publicly available protein and gene expression data from colorectal cancer patients, we have shown that USP10 is strongly upregulated or amplified upon transformation and that its expression correlates positively with CTNNB1 expression. In contrast, basal USP10 levels were found in non-transformed tissues, but surprisingly USP10 is upregulated in intestinal stem cells. Endogenous interaction studies in CRC-derived cell lines, with different extend of APCtruncation, revealed an APC-dependent mode of action for both proteins. Furthermore, by utilising CRISPR/Cas9, shRNA-mediated knock-down and overexpression of USP10, we could demonstrate a regulation of β-Catenin stability by USP10 in CRC cell lines. It is widely excepted that 2D cell culture systems do not reflect complexity, architecture and heterogeneity and are therefore not suitable to answer complex biological questions. To overcome this, we established the isolation, cultivation and genetically modification of murine intestinal organoids and utilised this system to study Usp10s role ex vivo. By performing RNA sequencing, dependent on different Usp10 levels, we were able to recapitulate the previous findings and demonstrated Usp10 as important regulator of β-dependent regulation of stem cell homeostasis. Since genetic depletion of USP10 resulted in down-regulation of β-Catenin-dependent transcription, therapeutic intervention of USP10 in colorectal cancer was also investigated. Commercial and newly developed inhibitors were tested for their efficacy against USP10, but failed to significantly inhibit USP10 activity in colorectal cancer cells. To validate the findings from this work also in vivo, development of a novel mouse model for colorectal cancer has begun. By combining CRISPR/Cas9 and classical genetic engineering with viral injection strategies, WT and genetically modified mice could be transformed and, at least in some animals, intestinal lesions were detectable at the microscopic level. The inhibition of USP10, which we could describe as a de novo tumour-specific regulator of β-Catenin, could become a new therapeutic strategy for colorectal cancer patients.
In this thesis, a model system of a magnetic topological heterostructure is studied, namely a heterosystem consisting of a single ferromagnetic septuple-layer (SL) of \(MnBi_2Te_4\) on the surface of the three-dimensional topological insulator \(Bi_2Te_3\).
Using MBE and developing a specialized experimental setup, the first part of this thesis deals with the growth of \(Bi_2Te_3\) and thin films of \(MnBi_2Te_4\) on \(BaF_2\)-substrates by the co-evaporation of its binary constituents. The structural analysis is conducted along several suitable probes such as X-ray diffraction (XRD, XRR), AFM and scanning tunnelling electron microscopy (STEM). It is furthermore found that the growth of a single septuple-layer of \(MnBi_2Te_4\) on the surface of \(Bi_2Te_3\) can be facilitated.
By using X-ray absorption and circular magnetic dichroism (XAS, XMCD), the magnetic properties of \(MnBi_2Te_4\) are explored down to the monolayer limit. The layered nature of the vdW crystal and a strong uniaxial magnetocrystalline anisotropy establish stable out-of plane magnetic order at the surface of \(MnBi_2Te_4\), which is stable even down to the 2D limit. Pushing the material system to there, i.e. a single SL \(MnBi_2Te_4\) further allows to study the phase transition of this 2D ferromagnet and extract its critical behaviour with \(T_c \, = \, 14.89~k\) and \(\beta \, = \, 0.484\).
Utilizing bulk crystals of the ferromagnetic \(Fe_3GeTe_2\) as substrate allows to influence, enhance and bias the magnetism in the single SL of \(MnBi_2Te_4\). By growing heterostructures of the type \(MnBi_2Te_4\) -- n layer \(Bi_2Te_3\) -- \(Fe_3GeTe_2\)for n between 0 and 2, it is shown, that a considerable magnetic coupling can be introduced between the \(MnBi_2Te_4\) top-layer and the substrate.
Finally the interplay between topology and magnetism in the ferromagnetic extension is studied directly by angle-resolved photoemission spectroscopy. The heterostructure is found to host a linearly dispersing TSS at the centre of the Brillouin zone. Using low temperature and high-resolution ARPES a large magnetic gap opening of \(\sim\) 35 meV is found at the Dirac point of the TSS. By following its temperature evolution, it is apparent that the scaling behaviour coincides with the magnetic order parameter of the modified surface.
The expression of the MYC proto-oncogene is elevated in a large proportion of patients with pancreatic ductal adenocarcinoma (PDAC). Previous findings in PDAC have shown that this increased MYC expression mediates immune evasion and promotes S-phase progression. How these functions are mediated and whether a downstream factor of MYC mediates these functions has remained elusive. Recent studies identifying the MYC interactome revealed a complex network of interaction partners, highlighting the need to identify the oncogenic pathway of MYC in an unbiased manner.
In this work, we have shown that MYC ensures genomic stability during S-phase and prevents transcription-replication conflicts. Depletion of MYC and inhibition of ATR kinase showed a synergistic effect to induce DNA damage. A targeted siRNA screen targeting downstream factors of MYC revealed that PAF1c is required for DNA repair and S-phase progression. Recruitment of PAF1c to RNAPII was shown to be MYC dependent. PAF1c was shown to be largely dispensable for cell proliferation and regulation of MYC target genes.
Depletion of CTR9, a subunit of PAF1c, caused strong tumor regression in a pancreatic ductal adenocarcinoma model, with long-term survival in a subset of mice. This effect was not due to induction of DNA damage, but to restoration of tumor immune surveillance.
Depletion of PAF1c resulted in the release of RNAPII with transcription elongation factors, including SPT6, from the bodies of long genes, promoting full-length transcription of short genes. This resulted in the downregulation of long DNA repair genes and the concomitant upregulation of short genes, including MHC class I genes. These data demonstrate that a balance between long and short gene transcription is essential for tumor progression and that interference with PAF1c levels shifts this balance toward a tumor-suppressive transcriptional program. It also directly links MYC-mediated S-phase progression to immune evasion. Unlike MYC, PAF1c has a stable, known folded structure; therefore, the development of a small molecule targeting PAF1c may disrupt the immune evasive function of MYC while sparing its physiological functions in cellular growth.
Maladaptive avoidance behaviors can contribute to the maintenance of fear, anxiety, and anxiety disorders. It has been proposed that, throughout anxiety disorder progression, extensively repeated avoidance may become a habit (i.e., habitual avoidance) instead of being controlled by internal threat-related goals (i.e., goal-directed avoidance). However, the process of the acquisition of habitual avoidance in anxiety disorders is not yet well understood. Accordingly, the current thesis aimed to investigate experimentally whether trait anxiety and anxiety disorders are associated with an increased shift from goal-directed to habitual avoidance.
The aim of Study 1 was to develop an experimental operationalization of maladaptive habitual avoidance. To this end, we adapted a commonly used action control task, the outcome devaluation paradigm. In this task, habitual avoidance was operationalized as persistent responses after extensive training to avoid an unpleasant stimulus when the aversive outcome was devalued, i.e., when individuals knew the aversive outcome could not occur anymore. We included indicators for costly and low-cost habitual avoidance, whereby habitual avoidance was associated with a monetary cost, while low-cost habitual avoidance was not associated with monetary costs. In Experiment 1 of Study 1, a pronounced costly and non-costly outcome devaluation effect was observed. However, this result may have partly resulted from trial-and-error learning or a better-safe-than-sorry strategy since not instructions about the stimulus-response-outcome contingencies after the outcome devaluation procedure had been provided to the participants. In Experiment 2 of Study 1, instructions on these stimulus-response-outcome contingencies were included to prevent the potential confounders. As a result, we observed no indicators for costly habitual avoidance, but evidence for low-cost habitual avoidance, potentially because competing goal-directed responses could easily be implemented and inhibited costly habitual avoidance tendencies.
In Study 2, the strength of habitual avoidance acquisition was compared between participants with and without anxiety disorders, using the experimental task of Experiment 1 in Study 1. The results indicated that costly and low-cost habitual avoidance was not more pronounced in participants with anxiety disorders than in the healthy control group. However, in an exploratory subgroup comparison, panic disorder predicted more substantial habitual avoidance acquisition than social anxiety disorder.
In Study 3, we investigated whether trait anxiety as a risk factor for anxiety disorders is associated with a specific increased shift from goal-directed to habitual avoidance and approach. The task from the Experiment 1 of Study 1 was adapted to include parallel versions for operationalizing habitual avoidance and habitual approach responses. Using a within-subjects design, the individuals – pre-screened for high and low trait anxiety – took part in the approach and the avoidance outcome devaluation task version. The results suggested stronger non-costly habitual responses in more highly trait-anxious individuals independent of the task version, and suggested a tendency towards an impact of trait anxiety on costly habitual approach rather than on costly habitual avoidance.
In summary, individuals with high trait anxiety or anxiety disorders did not develop habitual avoidance more readily than individuals with low trait anxiety or without anxiety disorders. Therefore, this thesis does not support the assumption that an increased tendency to acquire habitual avoidance contributes to persistent maladaptive avoidance in anxiety disorders. The thesis also contributes to the discourse on the validity of outcome devaluation studies in general by highlighting the impact of task features, such as the instructions after the outcome devaluation procedure or the task difficulty in the test phase, on the experimental results. Such validity issues may partly explain the heterogeneity of findings in research with the outcome devaluation paradigm. We suggest ways towards more valid operationalizations of habitual avoidance in future studies.
To grow larger, insects must shed their old rigid exoskeleton and replace it with a new one. This process is called molting and the motor behavior that sheds the old cuticle is called ecdysis. Holometabolic insects have pupal stages in between their larval and adult forms, during which they perform metamorphosis. The pupal stage ends with eclosion, i.e., the emergence of the adult from the pupal shell. Insects typically eclose at a specific time during the day, likely when abiotic conditions are at their optimum. A newly eclosed insect is fragile and needs time to harden its exoskeleton. Hence, eclosion is regulated by sophisticated developmental and circadian timing mechanisms.
In Drosophila melanogaster, eclosion is limited to a daily time window in the morning, regarded as the “eclosion gate”. In a population of laboratory flies entrained by light/dark cycles, most of the flies eclose around lights on. This rhythmic eclosion pattern is controlled by the circadian clock and persists even under constant conditions.
Developmental timing is under the control of complex hormonal signaling, including the steroid ecdysone, insulin-like peptides, and prothoracicotropic hormone (PTTH). The interactions of the central circadian clock in the brain and a peripheral clock in the prothoracic gland (PG) that produces ecdysone are important for the circadian timing of eclosion. These two clocks are connected by a bilateral pair of peptidergic PTTH neurons (PTTHn) that project to the PG. Before each molt, the ecdysone level rises and then falls shortly before ecdysis. The falling ecdysone level must fall below a certain threshold value for the eclosion gate to open. The activity of PTTHn is inhibited by short neuropeptide F (sNPF) from the small ventrolateral neurons (sLNvs) and inhibition is thought to lead to a decrease in ecdysone production.
The general aim of this thesis is to further the understanding of how the circadian clock and neuroendocrinal pathways are coordinated to drive eclosion rhythmicity and to identify when these endocrinal signaling pathways are active. In Chapter I, a series of conditional PTTHn silencing-based behavioral assays, combined with neuronal activity imaging techniques such as non-invasive ARG-Luc show that PTTH signaling is active and required shortly before eclosion and may serve to phase-adjust the activity of the PG at the end of pupal development. Trans-synaptic anatomical stainings identified the sLNvs, dorsal neurons 1 (DN1), dorsal neurons 2 (DN2), and lateral posterior neurons (LPNs) clock neurons as directly upstream of the PTTHn.
Eclosion motor behavior is initiated by Ecdysis triggering hormone (ETH) which activates a pair of ventromedial (Vm) neurons to release eclosion hormone (EH) which positively feeds back to the source of ETH, the endocrine Inka cells. In Chapter II trans-synaptic tracing showed that most clock neurons provide input to the Vm and non-canonical EH neurons. Hence, clock can potentially influence the ETH/EH feedback loop. The activity profile of the Inka cells and Vm neurons before eclosion is described. Vm and Inka cells are active around seven hours before eclosion. Interestingly, all EH neurons appear to be exclusively peptidergic.
In Chapter III, using chemoconnectomics, PTTHns were found to express receptors for sNPF, allatostatin A (AstA), allatostatin C (AstC), and myosuppressin (Ms), while EH neurons expressed only Ms and AstA receptors. Eclosion assays of flies with impaired AstA, AstC, or Ms signaling do not show arrhythmicity under constant conditions. However, optogenetic activation of the AstA neurons strongly suppresses eclosion.
Chapter IV focuses on peripheral ventral’ Tracheal dendrite (v’Td) and class IV dendritic arborization (C4da) neurons. The C4da neurons mediate larval light avoidance through endocrine PTTH signaling. The v’Td neurons mainly receive O2/CO2 input from the trachea and are upstream of Vm neurons but are not required for eclosion rhythmicity. Conditional ablation of the C4da neurons or torso (receptor of PTTH) knock-out in the C4da neurons impaired eclosion rhythmicity. Six to seven hours before eclosion, PTTHn, C4da, and Vm neurons are active based on ARG-Luc imaging. Thus, C4da neurons may indirectly connect the PTTHn to the Vm neurons.
In summary, this thesis advances our knowledge of the temporal activity and role of PTTH signaling during pupal development and rhythmic eclosion. It further provides a comprehensive characterization of the synaptic and peptidergic inputs from clock neurons to PTTHn and EH neurons. AstA, AstC, and Ms are identified as potential modulators of eclosion circuits and suggest an indirect effect of PTTH signaling on EH signaling via the peripheral sensory C4da neurons.
The immune system is responsible for the preservation of homeostasis whenever a given organism is exposed to distinct kinds of perturbations. Given the complexity of certain organisms like mammals, and the diverse types of challenges that they encounter (e.g. infection or disease), the immune system evolved to harbor a great variety of distinct immune cell populations with specialized functions. For instance, the family of T cells is sub-divided into conventional (Tconv) and unconventional T cells (UTCs). Tconv form part of the adaptive arm of the immune system and are comprised of αβ CD4+ or CD8+ cells that differentiate from naïve to effector and memory populations upon activation and are essential during infection and cancer. Furthermore, UTCs, which include γδ T cells, NKT and MAIT, are involved in innate and adaptive immune responses, due to their dual mode of activation, through cytokines (innate-like) or TCR (adaptive), and function. Despite our understanding of the basic functions of T cells in several contexts, a great number of open questions related to their basic biology remain. For instance, the mechanism behind the differentiation of naïve CD4+ and CD8+ T cells into effector and memory populations is not fully understood. Moreover, the exact function and relevance of distinct UTC subpopulations in a physiological context have not been fully clarified. Here, we investigated the factors mediating naïve CD8+ T cell differentiation into effector and memory cells. By using flow cytometry, mass spectrometry, enzymatic assays, and transgenic mouse models, we found that the membrane bound enzyme sphingomyelin-phosphodiesterase acid-like 3b (Smpdl3b) is crucial for the maintenance of memory CD8+ T cells. Our data show that the absence of Smpdl3b leads to diminished CD8+ T cell memory, and a loss of stem-like memory populations due to an aggravated contraction. Our scRNA-seq data suggest that Smpdl3b could be involved in clathrinmediated endocytosis through modulation of Huntingtin interacting protein 1 (Hip1) levels, likely regulating TCR-independent signaling events. Furthermore, in this study we explored the role of UTCs in lymph node-specific immune responses. By using transgenic mouse models for photolabeling, lymph node transplantation models, infection models and flow cytometry, we demonstrate that S1P regulates the migration of tissue-derived UTC from tissues to draining lymph nodes, resulting in heterogeneous immune responses mounted by lymph nodes draining different tissues. Moreover, our unbiased scRNAseq and single lineage-deficient mouse models analysis revealed that all UTC lineages (γδ T cells, NKT and MAIT) are organized in functional units, based on transcriptional homogeneity, shared microanatomical location and migratory behavior, and numerical and functional redundancy. Taken together, our studies describe additional cell intrinsic (Smpdl3b) and extrinsic (S1Pmediated migration) functions of sphingolipid metabolism modulating T cell biology. We propose the S1P/S1PR1/5 signaling axis as the potential survival pathway for Smpdl3b+ memory CD8+ T cells and UTCs, mainly in lymph nodes. Possibly, Smpdl3b regulates S1P/S1PR signaling by balancing ligandreceptor endocytosis, while UTCs migrate to lymph nodes during homeostasis to be exposed to specific levels of S1P that assure their maintenance. Our results are clinically relevant, since several drugs modulating the S1P/S1PR signaling axis or the levels of Smpdl3b are currently used to treat human diseases, such as multiple sclerosis and B cell-mediated diseases. We hope that our discoveries will inspire future studies focusing on sphingolipid metabolism in immune cell biology.
The Western Honeybee (Apis mellifera) is among the most versatile species in the world. Its adaptability is rooted in thousands of the differently specialized individuals acting jointly together. Thus, bees that are able to handle a certain task or condition well can back up other individuals less capable to do so on the colony level. Vice versa, the latter individuals might perform better in other situations. This evolutionary recipe for success ensures the survival of colonies despite challenging habitat conditions. In this context, the ectoparasitic mite Varroa destructor reflects the most pronounced biotic challenge to honeybees worldwide. Without proper treatment, infested colonies rapidly dwindle and ultimately die. Nevertheless, resistance behaviours against this parasite have evolved in some populations through natural selection, enabling colonies to survive untreated. In this, different behaviours appear to be adapted to the respective habitat conditions and may complement each other. Yet, the why and how of this behavioural response to the mite remains largely unknown. My thesis focuses on the biological background of Varroa-resistance traits in honeybees and presents important findings for the comprehension of this complex host-parasite interaction. Based on this, I draw implications for both, applied bee breeding and scientific investigations in the field of Varroa-resistance. Specifically, I focus on two traits commonly found in resistant and, to a lower degree, also mite-susceptible colonies: decreased mite reproduction and the uncapping and subsequent recapping of sealed brood cells. Examining failures in the reproductive success of mites as a primary mechanism of Varroa-resistance, I was able to link them to specific bee behaviours and external factors. Since mite reproduction and the brood rearing of bees are inevitably connected, I first investigated the effects of brood interruption on the reproductive success of mites. Brood interruption decreased the reproductive success of mites both immediately and in the long term. By examining the causes of reproductive failure, I could show that this was mainly due to an increased share of infertile mites. Furthermore, I proved that interruption in brood rearing significantly increased the expression of recapping behaviour. These findings consequently showed a dynamic modulation of mite reproduction and recapping, as well as a direct effect of brood interruption on both traits. To further elucidate the plasticity in the expression of both traits, I studied mite reproduction, recapping behaviour and infestation levels over the course of three years. The resulting extensive dataset unveiled a significant seasonal variation in mite reproduction and recapping. In addition, I show that recapping decreases the reproductive success of mites by increasing delayed developing female offspring and cells lacking male offspring. By establishing a novel picture-based brood investigation method, I could furthermore show that both the removal of brood cells and recapping activity specifically target brood ages in which mite offspring would be expected. Recapping, however, did not cause infertility of mites. Considering the findings of my first study, this points towards complementary mechanisms.
This underlines the importance of increased recapping behaviour and decreased mite reproduction as resistance traits, while at the same time emphasising the challenges of reliable data acquisition. To pave the way for a practical application of these findings in breeding, we then investigated the heritability (i.e., the share of genotypic variation on the observed phenotypic variation) of the accounted traits. By elaborating comparable test protocols and compiling data from over 4,000 colonies, we could, for the first time, demonstrate that recapping of infested cells and decreased reproductive success of mites are heritable (and thus selectable) traits in managed honeybee populations.
My thesis proves the importance of recapping and decreased mite reproduction as resistance traits and therefore valuable goals for breeding efforts. In this regard, I shed light on the underlying mechanisms of both traits, and present clear evidence for their interaction and heritability.
A novel USP11-TCEAL1-mediated mechanism protects transcriptional elongation by RNA Polymerase II
(2024)
Deregulated expression of MYC oncoproteins is a driving event in many human cancers. Therefore, understanding and targeting MYC protein-driven mechanisms in tumor biology remain a major challenge.
Oncogenic transcription in MYCN-amplified neuroblastoma leads to the formation of the MYCN-BRCA1-USP11 complex that terminates transcription by evicting stalling RNAPII from chromatin. This reduces cellular stress and allows reinitiation of new rounds of transcription. Basically, tumors with amplified MYC genes have a high demand on well orchestration of transcriptional processes-dependent and independent from MYC proteins functions in gene regulation. To date, the cooperation between promoter-proximal termination and transcriptional elongation in cancer cells remains still incomplete in its understanding.
In this study the putative role of the dubiquitinase Ubiquitin Specific Protease 11 (USP11) in transcription regulation was further investigated. First, several USP11 interaction partners involved in transcriptional regulation in neuroblastoma cancer cells were identified. In particular, the transcription elongation factor A like 1 (TCEAL1) protein, which assists USP11 to engage protein-protein interactions in a MYCN-dependent manner, was characterized. The data clearly show that TCEAL1 acts as a pro-transcriptional factor for RNA polymerase II (RNAPII)-medi- ated transcription. In detail, TCEAL1 controls the transcription factor S-II (TFIIS), a factor that assists RNAPII to escape from paused sites. The findings claim that TCEAL1 outcompetes the transcription elongation factor TFIIS in a non-catalytic manner on chromatin of highly expressed genes. This is reasoned by the need regulating TFIIS function in transcription. TCEAL1 equili- brates excessive backtracking and premature termination of transcription caused by TFIIS.
Collectively, the work shed light on the stoichiometric control of TFIIS demand in transcriptional regulation via the USP11-TCEAL1-USP7 complex. This complex protects RNAPII from TFIIS-mediated termination helping to regulate productive transcription of highly active genes in neuroblastoma.
In this study, we developed an innovative nanoparticle formulation to facilitate the delivery of antitumor antibodies to tumor sites. The study commenced with the utilization of 13 bispecific antibody fusion proteins, which targeted the Fn14 receptor, thereby validating the pivotal role of crosslinking in Fn14 receptor activation. Subsequently, gold nanoparticles were activated using COOH-PEG-SH in combination with EDC/NHS, and subsequently conjugated with two Fn14-targeting antibodies, PDL192 and 5B6. Following this, a pH-sensitive shell was generated on the outer layer of the antibody-coupled gold nanoparticles through the application of chemically modified polylysine. The resultant complexes, termed MPL-antibody-AuNP, demonstrated a release profile reminiscent of the tumor microenvironment (TME). Notably, these complexes released antibody-AuNPs only in slightly acidic conditions while remaining intact in neutral or basic environments. Functionality analysis further affirmed the pH-sensitive property of MPL-antibody-AuNPs, demonstrating that the antibodies only initiated potent Fn14 activation in slightly acidic environments. This formulation holds potential for applicability to antibodies or ligands targeting the 80 TNFRSF family, given that gold nanoparticles successfully served as platforms for antibody crosslinking, thereby transforming these antibodies into potent agonists. Moreover, the TME disintegration profile of MPL mitigates the potential cytotoxic effects of antibodies, thereby circumventing associated adverse side effects. This study not only showcases the potential of nanoparticle formulations in targeted therapy, but also provides a solid foundation for further investigations on their clinical application in the context of targeting category II TNFRSF receptors with antibodies or ligands.
Structure and dynamics of the plasma membrane: a single-molecule study in \(Trypanosoma\) \(brucei\)
(2024)
The unicellular, flagellated parasite Trypanosoma brucei is the causative agent of human African sleeping sickness and nagana in livestock. In the last decades, it has become an established eukaryotic model organism in the field of biology, as well as in the interdisciplinary field of biophysics. For instance, the dense variant surface glycoprotein (VSG) coat offers the possibility to study the dynamics of GPI-anchored proteins in the plasma membrane of living cells. The fluidity of the VSG coat is not only an interesting object of study for its own sake, but is critically important for the survival of the parasite in the mammalian host. In order to maintain the integrity of the coat, the entire VSG coat is recycled within a few minutes. This is surprisingly fast for a purely diffusive process with the flagellar pocket (FP) as the sole site for endo- and exocytosis. Previous studies characterising VSG dynamics using FRAP reported diffusion coefficients that were not sufficient to to enable fast turnover based on passive VSG randomisation on the trypanosome surface.
In this thesis, live-cell single-molecule fluorescence microscopy (SMFM) was employed to elucidate whether VSG diffusion coefficients were priorly underestimated or whether directed forces could be involved to bias VSGs towards the entrance of the FP. Embedding the highly motile trypanosomes in thermo-stable hydrogels facilitated the investigation of VSG dynamics on living trypanosomes at the mammalian host's temperature of 37°C. To allow for a spatial correlation of the VSG dynamics to the FP entrance, a cell line was employed harbouring a fluorescently labelled structure as a reference. Sequential two-colour SMFM was then established to allow for recording and registration of the dynamic and static single-molecule information.
In order to characterise VSG dynamics, an algorithm to obtain reliable information from short trajectories was adapted (shortTrAn). It allowed for the quantification of the local dynamics in two distinct scenarios: diffusion and directed motion. The adaptation of the algorithm to the VSG data sets required the introduction of an additional projection filter. The algorithm was further extended to take into account the localisation errors inherent to single-particle tracking. The results of the quantification of diffusion and directed motion were presented in maps of the trypanosome surface, including an outline generated from a super-resolved static structure as a reference. Information on diffusion was displayed in one map, an ellipse plot. The colour code represented the local diffusion coefficient, while the shape of the ellipses provided an indication of the diffusion behaviour (aniso- or isotropic diffusion). The eccentricity of the ellipses was used to quantify deviations from isotropic diffusion. Information on directed motion was shown in three maps: A velocity map, representing the amplitude of the local velocities in a colour code. A quiver plot, illustrating the orientation of directed motion, and a third map which indicated the relative standard error of the local velocities colour-coded. Finally, a guideline based on random walk simulations was used to identify which of the two motion scenarios dominated locally. Application of the guideline to the VSG dynamics analysed by shortTrAn yielded supermaps that showed the locally dominant motion mode colour-coded.
I found that VSG dynamics are dominated by diffusion, but several times faster than previously determined. The diffusion behaviour was additionally characterised by spatial heterogeneity. Moreover, isolated regions exhibiting the characteristics of round and elongated traps were observed on the cell surface. Additionally, VSG dynamics were studied with respect to the entrance of the FP. VSG dynamics in this region displayed similar characteristics compared to the remainder of the cell surface and forces biasing VSGs into the FP were not found.
Furthermore, I investigated a potential interference of the attachment of the cytoskeleton to the plasma membrane with the dynamics of VSGs which are anchored to the outer leaflet of the membrane. Preliminary experiments were conducted on osmotically swollen trypanosomes and trypanosomes depleted for a microtubule-associated protein anchoring the subpellicular microtubule cytoskeleton to the plasma membrane. The measurements revealed a trend that detachment of the cytoskeleton could be associated with a reduction in the VSG diffusion coefficient and a loss of elongated traps. The latter could be an indication that these isolated regions were caused by underlying structures associated with the cytoskeleton.
The measurements on cells with an intact cytoskeleton were complemented by random walk simulations of VSG dynamics with the newly determined diffusion coefficient on long time scales not accessible in experiments. Simulations showed that passive VSG randomisation is fast enough to allow for a turnover of the full VSG coat within a few minutes. According to an estimate based on the known rate of endocytosis and the newly determined VSG diffusion coefficient, the majority of exocytosed VSGs could escape from the FP to the cell surface without being immediately re-endocytosed.
Human prosociality, encompassing generosity, cooperation, and volunteering, holds a vital role in our daily lives. Over the last decades, the question of whether prosociality undergoes changes over the adult lifespan has gained increased research attention. Earlier studies suggested increased prosociality in older compared to younger individuals. However, recent meta-analyses revealed that this age effect might be heterogeneous and modest. Moreover, the contributing factors and mechanisms behind these age-related variations remain to be identified. To unravel age-related differences in prosociality, the first study of this dissertation employed a meta-analytical approach to summarize existing findings and provide insight into their heterogeneity by exploring linear and quadratic age effects on self-reported and behavioral prosociality. Additionally, two empirical research studies investigated whether these age-related differences in prosociality were observed in real life, assessed through ecological momentary assessment (Study 2), and in a controlled laboratory setting by applying a modified dictator game (Study 3). Throughout these three studies, potential underlying behavioral and computational mechanisms were explored. The outcome of the meta-analysis (Study 1) revealed small linear age effects on prosociality and significant age group differences between younger and older adults, with higher levels of prosociality in older adults. Explorative evidence emerged in favor of a quadratic age effect on behavioral prosociality, indicating the highest levels in midlife. Additionally, heightened prosocial behavior among middle-aged adults was observed compared to younger adults, whereas no significant differences in prosocial behavior were noted between middle-aged and older adults. Situational and contextual features, such as the setting of the study and specific paradigm characteristics, moderated the age-prosociality relationship, highlighting the importance of the (social) context when studying prosociality. For Study 2, no significant age effect on real-life prosocial behavior was observed. However, evidence for a significant linear and quadratic age effect on experiencing empathy in real life emerged, indicating a midlife peak. Additionally, across all age groups, the link between an opportunity to empathize and age significantly predicted real-life prosocial behavior. This effect, indicating higher levels of prosocial behavior when there was a situation possibly evoking empathy, was most pronounced in midlife. Study 3 presented age differences in how older and younger adults integrate values related to monetary gains for self and others to make a potential prosocial decision. Younger individuals effectively combined both values in a multiplicative fashion, enhancing decision-making efficiency. Older adults showed an additive effect of values for self and other and displayed increased decision-making efficiency when considering the values separately. However, among older adults, individuals with better inhibitory control were better able to integrate information about both values in their decisions. Taken together, the findings of this dissertation offer new insights into the multi-faceted nature of prosociality across adulthood and the mechanisms that help explain these age-related disparities. While this dissertation observed increasing prosociality across the adult lifespan, it also questions the assumption that older adults are inherently more prosocial. The studies highlight midlife as a potential peak period in social development but also emphasize the importance of the (social) context and that different operationalizations might capture distinct facets of prosociality. This underpins the need for a comprehensive framework to understand age effects of prosociality better and guide potential interventions.
In vitro models mimic the tissue-specific anatomy and play essential roles in personalized medicine and disease treatments. As a sophisticated manufacturing technology, 3D printing overcomes the limitations of traditional technologies and provides an excellent potential for developing in vitro models to mimic native tissue. This thesis aims to investigate the potential of a high-resolution 3D printing technology, melt electrowriting (MEW), for fabricating in vitro models. MEW has a distinct capacity for depositing micron size fibers with a defined design. In this thesis, three approaches were used, including 1) extending the MEW polymer library for different biomedical applications, 2) developing in vitro models for evaluation of cell growth and migration toward the different matrices, and 3) studying the effect of scaffold designs and biochemical cues of microenvironments on cells.
First, we introduce the MEW processability of (AB)n and (ABAC)n segmented copolymers, which have thermally reversible network formulation based on physical crosslinks. Bisurea segments are combined with hydrophobic poly(dimethylsiloxane) (PDMS) or hydrophilic poly(propylene oxide)-poly(ethylene oxide)-poly(propylene oxide) (PPO-PEG-PPO) segments to form the (AB)n segmented copolymers. (ABAC)n segmented copolymers contain all three segments: in addition to bisurea, both hydrophobic and hydrophilic segments are available in the same polymer chain, resulting in tunable mechanical and biological behaviors. MEW copolymers either support cells attachment or dissolve without cytotoxic side effects when in contact with the polymers at lower concentrations, indicating that this copolymer class has potential in biological applications. The unique biological and surface properties, transparency, adjustable hydrophilicity of these copolymers could be beneficial in several in vitro models.
The second manuscript addresses the design and development of a melt electrowritten competitive 3D radial migration device. The approach differs from most of the previous literature, as MEW is not used here to produce cell invasive scaffolds but to fabricate an in vitro device. The device is utilized to systematically determine the matrix which promotes cell migration and growth of glioblastoma cells. The glioblastoma cell migration is tested on four different Matrigel concentrations using a melt electrowritten radial device. The glioblastoma U87 cell growth and migration increase at Matrigel concentrations 6 and 8 mg mL-1 In the development of this radial device, the accuracy, and precision of melt electrowritten circular shapes were investigated. The results show that the printing speed and design diameter are essential parameters for the accuracy of printed constructs. It is the first instance where MEW is used for the production of in vitro devices.
The influence of biochemical cues and scaffold designs on astrocytes and glioblastoma is investigated in the last manuscript. A fiber comprising the box and triangle-shaped pores within MEW scaffolds are modified with biochemical cues, including RGD and IKVAV peptides using a reactive NCO-sP(EO-stat-PO) macromer. The results show that astrocytes and glioblastoma cells exhibit different phenotypes on scaffold designs and peptide-coated scaffolds.
Few topics have been the subject of more controversy than those encapsulated by the terms "sex" and "gender". Social-cultural and biological-evolutionary argumentation patterns frequently clash and especially the public debate appears to be stuck in a stalemate between the two competing parties.
From a psychological perspective both topics appear deeply intertwined and are not easy to be separated. This study pursues an integrative approach to better understand the roots of differences best subsumed under the term sex/gender. It will become apparent that both nature and nurture variables interact and form the complex system of human behavior and experience.
The hallmark oncoprotein Myc is a major driver of tumorigenesis in various human cancer entities. However, Myc’s structural features make it challenging to develop small molecules against it. A promising strategy to indirectly inhibit the function of Myc is by targeting its interactors. Many Myc-interacting proteins have reported scaffolding functions which are difficult to target using conventional occupancy- driven inhibitors. Thus, in this thesis, the proteolysis targeting chimera (PROTAC) approach was used to target two oncoproteins interacting with Myc which promote the oncogenicity of Myc, Aurora-A and WDR5. PROTACs are bifunctional small molecules that bind to the target protein with one ligand and recruit a cellular E3- ligase with the other ligand to induce target degradation via the ubiquitin- proteasome system. So far, the most widely used E3-ligases for PROTAC development are Cereblon (CRBN) and von Hippel–Lindau tumor suppressor (VHL). Furthermore, there are cases of incompatibility between some E3-ligases and proteins to bring about degradation. Hence there is a need to explore new E3- ligases and a demand for a tool to predict degradative E3-ligases for the target protein in the PROTAC field.
In the first part, a highly specific mitotic kinase Aurora-A degrader, JB170, was developed. This compound utilized Aurora-A inhibitor alisertib as the target ligand and thalidomide as the E3-ligase CRBN harness. The specificity of JB170 and the ternary complex formation was supported by the interactions between Aurora-A and CRBN. The PROTAC-mediated degradation of Aurora-A induced a distinct S- phase defect rather than mitotic arrest, shown by its catalytic inhibition. The finding demonstrates that Aurora-A has a non-catalytic role in the S-phase. Furthermore, the degradation of Aurora-A led to apoptosis in various cancer cell lines.
In the second part, two different series of WDR5 PROTACs based on two protein- protein inhibitors of WDR5 were evaluated. The most efficient degraders from both series recruited VHL as a E3-ligase and showed partial degradation of WDR5. In addition, the degradation efficiency of the PROTACs was significantly affected by the linker nature and length, highlighting the importance of linker length and composition in PROTAC design. The degraders showed modest proliferation defects at best in cancer cell lines. However, overexpression of VHL increased the degradation efficiency and the antiproliferative effect of the PROTACs.
In the last part, a rapamycin-based assay was developed to predict the degradative E3-ligase for a target. The assay was validated using the WDR5/VHL and Aurora- A/CRBN pairs. The result that WDR5 is degraded by VHL but not CRBN and Aurora-A is degraded by CRBN, matches observations made with PROTACs. This technique will be used in the future to find effective tissue-specific and essential E3-ligases for targeted degradation of oncoproteins using PROTACs.
Collectively, the work presented here provides a strategy to improve PROTAC development and a starting point for developing Aurora-A and WDR5 PROTACs for cancer therapy.
1,1,2-trifluoroethene (HFO-1123) is intended for use as a refrigerant. Inhalation studies on HFO-1123 in rats suggested a low potential for toxicity, with no-observed-adverse-effect levels greater then 20,000 ppm. However, single inhalation exposure of Goettingen Minipigs and New Zealand White Rabbits resulted in mortality. It was assumed that conjugation of HFO-1123 with glutathione, via glutathione S-transferase, gives rise to S-(1,1,2-trifluoroethyl)-L-glutathione (1123-GSH), which is then transformed to the corresponding cysteine S-conjugate (S-(1,1,2-trifluoroethyl)-L-cysteine, 1123-CYS). Subsequent beta-lyase mediated cleavage of 1123-CYS may result in monofluoroacetic acid, a potent inhibitor of aconitase. Species-differences in 1123-GSH formation and 1123-CYS cleavage to MFA may explain species-differences in HFO-1123 toxicity.
This study was designed to test the hypothesis, that GSH-dependent biotransformation and subsequent beta-lyase mediated formation of monofluoroacetic acid, a potent inhibitor of aconitase in the citric acid cycle, may play a key role in HFO-1123 toxicity and to evaluate if species-differences in the extent of MFA formation may account for the species-differences in HFO-1123 toxicity. The overall objective was to determine species-differences in HFO-1123 biotransformation in susceptible vs. less susceptible species and humans as a basis for human risk assessment.
To this end, in vitro biotransformation of HFO-1123 and 1123-CYS was investigated in renal and hepatic subcellular fractions of mice, rats, humans, Goettingen Minipigs and NZW Rabbits. Furthermore, cytotoxicity and metabolism of 1123-CYS was assessed in cultured renal epithelial cells. Enzyme kinetic parameters for beta-lyase mediated cleavage of 1123-CYS in renal and hepatic cytosolic fractions were determined, and 19F-NMR was used to identify fluorine containing metabolites arising from 1123-CYS cleavage. Quantification of 1123-GSH formation in hepatic S9 fractions after incubation with HFO-1123 was performed by LC-MS/MS and hepatic metabolism of HFO-1123 was monitored by 19F-NMR.
Rates of 1123-GSH formation were increased in rat, mouse and NZW Rabbit compared to human and Goettingen hepatic S9, indicating increased GSH dependent biotransformation in rats, mouse and NZW Rabbits. NZW Rabbit hepatic S9 exhibited increased 1123-GSH formation in the presence compared to the absence of acivicin, a specific gamma-GT inhibitor. This indicates increased gamma-GT mediated cleavage of 1123-GSH in NZW Rabbit hepatic S9 compared to the other species. 19F-NMR confirmed formation of 1123-GSH as the main metabolite of GSH mediated biotransformation of HFO-1123 in hepatic S9 fractions next to F-. Increased F- formation was detected in NZW Rabbit and Goettingen Minipig hepatic S9 in the presence of an NADPH regenerating system, indicating a higher rate of CYP-450 mediated metabolism in these species. Based on these findings, it is possible that CYP-450 mediated metabolism may contribute to HFO-1123 toxicity.
In contrast to the increased formation of 1123-GSH in rat, mouse and NZW Rabbit hepatic S9 (compared to human and Goettingen Minipig), enzyme kinetic studies revealed a significantly higher beta-lyase activity towards 1123-CYS in renal cytosol of Goettingen Minipigs compared to cytosol from rats, mice, humans and NZW Rabbits. However, beta-lyase cleavage in renal NZW Rabbit cytosol was slightly increased compared to rat, mouse and human renal cytosols. 19F-NMR analysis confirmed increased time-dependent formation of MFA in renal Goettingen Minipig cytosol and NZW Rabbit (compared to human and rat cytosolic fractions). Three structurally not defined MFA-derivatives were detected exclusively in NZW Rabbit and Goettingen Minipig cytosols. Also, porcine kidney cells were more sensitive to cytotoxicity of 1123-CYS compared to rat and human kidney cells.
Overall, increased beta-lyase mediate cleavage of 1123-CYS to MFA in Goettingen Minipig and NZW Rabbit kidney (compared to human and rat) may support the hypothesis that enzymatic cleavage by beta-lyases may account for the species-differences in HFO-1123 toxicity. However, the extent of GST mediated biotransformation in the liver as the initial step in HFO-1123 metabolism does not fully agree with this hypothesis, since 1123-GSH formation occurs at higher rates in rat, mouse and NZW Rabbit S9 as compared to the Goettingen Minipig.
Based on the inconsistencies between the extent of GST and beta-lyase mediated biotransformation of HFO-1123 obtained by this study, a decisive statement about an increased biotransformation of HFO-1123 in susceptible species with a direct linkage to the species-specific toxicity cannot be drawn. Resulting from this, a clear and reliable conclusion regarding the risk for human health originating from HFO-1123 cannot be made. However, considering the death of Goettingen Minipigs and NZW Rabbits after inhalation exposure of HFO-1123 at concentrations great than 500 ppm and greater than 1250 ppm, respectively, this indicates a health concern for humans under peak exposure conditions. For a successful registration of HFO-1123 and its use as a refrigerant, further in vitro and in vivo investigations addressing uncertainties in the species-specific toxicity of HFO-1123 are urgently needed.
Idiopathic Pulmonary Fibrosis (IPF) is a progressive parenchymal lung disease with limited therapeutic treatments. Pathologically altered lung fibroblasts, called myofibroblasts, exhibit increased proliferation, migration, and collagen production, and drive IPF development and progression. Fibrogenic factors such as Platelet derived growth factor-BB (PDGF-BB) contribute to these pathological alterations. Endogenous counter-regulating factors are barely known. Published studies have described a protective role of exogenously administered C-type Natriuretic Peptide (CNP) in pathological tissue remodeling, for example in heart and liver fibrosis. CNP and its cyclic GMP producing guanylyl cyclase B (GC-B) receptor are expressed in the lungs, but it is unknown whether CNP can attenuate lung fibrosis by this pathway. To address this question, we performed studies in primary cultured lung fibroblasts.
To examine the effects of the CNP/GC-B pathway on PDGF-BB-induced collagen
production, proliferation, and migration in vitro, lung fibroblasts were cultured from wildtype control and GC-B knockout mice. Human lung fibroblasts from patients with IPF and healthy controls were obtained from the UGMLC Biobank. In RIA experiments, CNP, at 10nM and 100nM, markedly and similarly increased cGMP levels in both the murine and human lung fibroblasts, demonstrating GC-B/cGMP signaling. CNP reduced PDGF-BB induced proliferation and migration of lung fibroblasts in BrdU incorporation and gap closure assays, respectively. CNP strongly decreased PDGF-BB-induced collagen 1/3 expression as measured by immunocytochemistry and immunoblotting. Importantly, the protective actions of CNP were preserved in IPF fibroblasts. It is known that the profibrotic actions of PDGF-BB are partly mediated by phosphorylation and nuclear export of Forkhead Box O3 (FoxO3), a transcription factor downregulated in IPF. CNP prevented PDGF-BB elicited FoxO3 phosphorylation and nuclear exclusion in both murine and human control and IPF fibroblasts. CNP signaling and functions were abolished in GC-B-deficient lung fibroblasts.
Taken together, the results show that CNP moderates the PDGF-BB-induced activation and differentiation of human and murine lung fibroblasts to myofibroblasts. This effect is mediated CNP-dependent by GC-B/cGMP signaling and FoxO3 regulation. To follow up the patho-physiological relevance of these results, we are generating mice with fibroblast-restricted GC-B deletion for studies in the model of bleomycin-induced pulmonary fibrosis.
Humans actively interact with the world through a wide range of body movements. To understand human cognition in its natural state, we need to incorporate ecologically relevant body movement into our account. One fundamental body movement during daily life is natural walking. Despite its ubiquity, the impact of natural walking on brain activity and cognition has remained a realm underexplored.
In electrophysiology, previous studies have shown a robust reduction of ongoing alpha power in the parieto-occipital cortex during body movements. However, what causes the reduction of ongoing alpha, namely whether this is due to body movement or prevalent sensory input changes, was unknown. To clarify this, study 1 was performed to test if the alpha reduction is dependent on visual input. I compared the resting state alpha power during natural walking and standing, in both light and darkness. The results showed that natural walking led to decreased alpha activity over the occipital cortex compared to standing, regardless of the lighting condition. This suggests that the movement-induced modulation of occipital alpha activity is not driven by visual input changes during walking. I argue that the observed alpha power reduction reflects a change in the state of the subject based on disinhibition induced by walking. Accordingly, natural walking might enhance visual processing and other cognitive processes that involve occipital cortical activity.
I first tested this hypothesis in vision. Study 2 was performed to examine the possible effects of natural walking across visual processing stages by assessing various neural markers during different movement states. The findings revealed an amplified early visual response, while a later visual response remain unaffected. A follow-up study 3 replicated the walking-induced enhancement of the early visual evoked potential and showed that the enhancement was dependent on specific stimulus-related parameters (eccentricity, laterality, distractor presence). Importantly, the results provided evidence that the enhanced early visual responses are indeed linked to the modulation of ongoing occipital alpha power. Walking also modulated the stimulus-induced alpha power. Specifically, it showed that when the target appeared in the fovea area without a distractor, walking exhibited a significantly reduced modulation of alpha power, and showed the largest difference to standing condition. This effect of eccentricity indicates that during later visual processing stages, the visual input in the fovea area is less processed than in peripheral areas while walking.
The two visual studies showed that walking leads to an enhancement in temporally early visual processes which can be predicted by the walking-induced change in ongoing alpha oscillation likely marking disinhibition. However, while walking affects neural markers of early sensory processes, it does not necessarily lead to a change in the behavioural outcome of a sensory task. The two visual studies suggested that the behavioural outcome seems to be mainly based on later processing stages.
To test the effects of walking outside the visual domain, I turned to audition in study 4. I investigated the influence of walking in a particular path vs. simply stepping on auditory processing. Specifically, the study tested whether enhanced processing due to natural walking can be found in primary auditory brain activity and whether the processing preferences are dependent on the walking path. In addition, I tested whether the changed spatial processing that was reported in previous visual studies can be seen in the auditory domain. The results showed enhanced sensory processing due to walking in the auditory domain, which was again linked to the modulation of occipital alpha oscillation. The auditory processing was further dependent on the walking path. Additionally, enhanced peripheral sensory processing, as found in vision, was also present in audition.
The findings outside vision supported the idea of natural walking affecting cognition in a rather general way. Therefore in my study 5, I examined the effect of natural walking on higher cognitive processing, namely divergent thinking, and its correlation with the modulation of ongoing alpha oscillation. I analyzed alpha oscillations and behavioural performance during restricted and unrestricted movement conditions while subjects completed a Guilford's alternate uses test. The results showed that natural walking, as well as missing body restriction, reduces the occipital alpha ongoing power independent of the task phase which goes along with higher test scores. The occipital alpha power reduction can therefore be an indicator of a changed state that allows improved higher cognitive processes.
In summary, the research presented in this thesis highlights that natural walking can change different processes in the visual and auditory domain as well as higher cognitive processes. The effect can be attributed to the movement of natural walking itself rather than to changes in sensory input during walking. The results further indicate that the walking-induced modulation of ongoing occipital alpha oscillations drives the cognitive effects. We therefore suggest that walking changes the inhibitory state which can influence awareness and attention. Such a mechanism could facilitate an adaptive enhancement in cognitive processes and thereby optimize movement-related behaviour such as navigation.
The pancreas is the key organ for the maintenance of euglycemia. This is regulated in particular by α-cell-derived glucagon and β-cell-derived insulin, which are released in response to nutrient deficiency and elevated glucose levels, respectively. Although glucose is the main regulator of insulin secretion, it is significantly enhanced by various potentiators.
Platelets are anucleate cell fragments in the bloodstream that are essential for hemostasis to prevent and stop bleeding events. Besides their classical role, platelets were implemented to be crucial for other physiological and pathophysiological processes, such as cancer progression, immune defense, and angiogenesis. Platelets from diabetic patients often present increased reactivity and basal activation. Interestingly, platelets store and release several substances that have been reported to potentiate insulin secretion by β-cells. For these reasons, the impact of platelets on β-cell functioning was investigated in this thesis.
Here it was shown that both glucose and a β-cell-derived substance/s promote platelet activation and binding to collagen. Additionally, platelet adhesion specifically to the microvasculature of pancreatic islets was revealed, supporting the hypothesis of their influence on glucose homeostasis. Genetic or pharmacological ablation of platelet functioning and platelet depletion consistently resulted in reduced insulin secretion and associated glucose intolerance. Further, the platelet-derived lipid fraction was found to enhance glucose-stimulated insulin secretion, with 20-hydroxyeicosatetraenoic acid (20-HETE) and possibly also lyso-precursor of platelet-activating factor (lysoPAF) being identified as crucial factors. However, the acute platelet-stimulated insulin secretion was found to decline with age, as did the levels of platelet-derived 20-HETE. In addition to their direct stimulatory effect on insulin secretion, specific defects in platelet activation have also been shown to affect glucose homeostasis by potentially influencing islet vascular development. Taking together, the results of this thesis suggest a direct and indirect mechanism of platelets in the regulation of insulin secretion that ensures glucose homeostasis, especially in young individuals.
The increase in intensively used areas and climate change are direct and indirect consequences of anthropogenic actions, caused by a growing population and increasing greenhouse gas emissions. The number of research studies, investigating the effects of land use and climate change on ecosystems, including flora, fauna, and ecosystem services, is steadily growing. This thesis contributes to this research area by investigating land-use and climate effects on decomposer communities (arthropods and microbes) and the ecosystem service ‘decomposition of dead material’.
Chapter II deals with consequences of intensified land use and climate change for the ecosystem service ‘decomposition of dead organic material’ (necromass). Considering the severe decline in insects, we experimentally excluded insects from half of the study objects. The decomposition of both dung and carrion was robust to land-use changes. Dung decomposition, moreover, was unaffected by temperature and the presence/ absence of insects. Along the altitudinal gradient, however, highest dung decomposition was observed at medium elevation between 600 and 700 m above sea level (although insignificant). As a consequence, we assume that at this elevation there is an ideal precipitation:temperature ratio for decomposing organisms, such as earthworms or collembolans. Carrion decomposition was accelerated by increasing elevation and by the presence of insects, indicating that increasing variability in climate and an ongoing decline in insects could modify decomposition processes and consequently natural nutrient cycles. Moreover, we show that different types of dead organic material respond differently to environmental factors and should be treated separately in future studies.
In Chapter III, we investigated land-use and climate effects on dung-visiting beetles and their resource specialization. Here, all beetles that are preferentially found on dung, carrion or other rotten material were included. Both α- and γ-diversity were strongly reduced in agricultural and urban areas. High precipitation reduced dung-visiting beetle abundance, whereas γ-diversity was lowest in the warmest regions. Resource specialization decreased with increasing temperatures. The results give evidence that land use as well as climate can alter dung-visiting beetle diversity and resource specialization and may hence influence the natural balance of beetle communities and their contribution to the ecosystem service ‘decomposition of dead material’.
The following chapter, Chapter IV, contributes to the findings in Chapter II. Here, carrion decomposition is not only explained by land-use intensity and climate but also by diversity and community composition of two taxonomic groups found on carrion, beetles and bacteria. The results revealed a strong correlation between bacteria diversity and community composition with temperature. Carrion decomposition was to a great extent directed by bacterial community composition and precipitation. The role of beetles was neglectable in carrion decomposition. With this study, I show that microbes, despite their microscopic size, direct carrion decomposition and may not be neglected in future decomposition studies.
In Chapter V a third necromass type is investigated, namely deadwood. The aim was to assess climate and land-use effects on deadwood-inhabiting fungi and bacteria. Main driver for microbial richness (measured as number of OTUs) was climate, including temperature and precipitation. Warmer climates promoted the diversity of bacteria, whereas fungi richness was unaffected by temperature. In turn, fungi richness was lower in urban landscapes compared to near-natural landscapes and bacteria richness was higher on meadows than on forest sites. Fungi were extremely specialized on their host tree, independent of land use and climate. Bacteria specialization, however, was strongly directed by land use and climate. These results underpin previous studies showing that fungi are highly specialized in contrast to bacteria and add new insights into the robustness of fungi specialization to climate and land use.
I summarize that climate as well as intensive land use influence biodiversity. Temperature and precipitation, however, had positive and negative effects on decomposer diversity, while anthropogenic land use had mostly negative effects on the diversity of decomposers.
Academic education is seen as an important place for the development of professionalism of (future) adult educators. Since adult education academia, research, and practice is closely intertwined with global and international de- velopments, there is a need for adult education programmes to prepare their students for these interconnections. This can be examined in the context of international teaching and learning settings that integrate international, inter- cultural, or global perspectives into teaching and learning and are part of the internationalisation efforts of higher education. The focus of this international and comparative study is on how international teaching and learning settings contribute to the academic professionalisation in adult education in three mas- ter’s programmes with a focus on adult education at the University of Würzburg (Germany), University of Belgrade (Serbia) and University of Florence (Italy). International teaching and learning settings are examined on the structural and individual level of academic professionalisation. The aim is to explore the provision of international teaching and learning settings in the master’s pro- grammes on the one hand, and to analyse the contribution of international teach- ing and learning settings to the development of students’ professionalism on the other. For this purpose, three focus group interviews with programme heads, (academic) staff, and students as well as 22 guided interviews with graduates of the three master’s programmes at the three university locations are collected and analysed in an international and comparative study design. The study reveals similarities and differences in the forms, framework con- ditions, and goals of international teaching and learning settings between the three master’s programmes. Overarching contexts that guide the internationalisation of the master’s programmes become apparent (e.g. education and higher education policy, internationalisation of the university, programme structure). The triangulation of the interview data of the graduates shows that the interna- tional environment, the structural arrangement, and the practical relevance of the international teaching and learning settings support the development of the graduates’ professionalism. The results underline the relevance of international teaching and learning settings for the development of professionalism in adult education and point to the requirement for a systematic and comprehensive in- ternationalisation of adult education programmes.
Wireless communication networks already comprise an integral part of both the private and industrial sectors and are successfully replacing existing wired networks. They enable the development of novel applications and offer greater flexibility and efficiency. Although some efforts are already underway in the aerospace sector to deploy wireless communication networks on board spacecraft, none of these projects have yet succeeded in replacing the hard-wired state-of-the-art architecture for intra-spacecraft communication. The advantages are evident as the reduction of the wiring harness saves time, mass, and costs, and makes the whole integration process more flexible. It also allows for easier scaling when interconnecting different systems.
This dissertation deals with the design and implementation of a wireless network architecture to enhance intra-spacecraft communications by breaking with the state-of-the-art standards that have existed in the space industry for decades. The potential and benefits of this novel wireless network architecture are evaluated, an innovative design using ultra-wideband technology is presented. It is combined with a Medium Access Control (MAC) layer tailored for low-latency and deterministic networks supporting even mission-critical applications. As demonstrated by the Wireless Compose experiment on the International Space Station (ISS), this technology is not limited to communications but also enables novel positioning applications.
To adress the technological challenges, extensive studies have been carried out on electromagnetic compatibility, space radiation, and data robustness. The architecture was evaluated from various perspectives and successfully demonstrated in space.
Overall, this research highlights how a wireless network can improve and potentially replace existing state-of-the-art communication systems on board spacecraft in future missions. And it will help to adapt and ultimately accelerate the implementation of wireless networks in space systems.
The goal of this thesis is to study the topological and algebraic properties of the quasiconformal automorphism groups of simply and multiply connected domains in the complex plain, in which the quasiconformal automorphism groups are endowed with the supremum metric on the underlying domain. More precisely, questions concerning central topological properties such as (local) compactness, (path)-connectedness and separability and their dependence on the boundary of the corresponding domains are studied, as well as completeness with respect to the supremum metric. Moreover, special subsets of the quasiconformal automorphism group of the unit disk are investigated, and concrete quasiconformal automorphisms are constructed. Finally, a possible application of quasiconformal unit disk automorphisms to symmetric cryptography is presented, in which a quasiconformal cryptosystem is defined and studied.
Trust carries the capacity to shift the focus from risks to opportunities of a situation. Scientific studies from the field of trust research point out that besides situation-specific factors (i.e., stimuli of the environment), cross-situationally stable interindividual differences (i.e., personality) are involved in the emergence of trust. Stable interindividual differences are particularly influential to the subjective experience of situational conditions when crucial information is incomplete. The online shopping environment classifies as a prime example of markets with asymmetric information. Research has examined online consumer trust in the light of signaling theory to understand the effects of trust-enhancing signals. Previous research largely neglects interindividual differences in the perception, processing and reaction to these signals. Against this background, this scientific work has two primary objectives: the investigation of (1) interindividual differences in the evaluation of trust-enhancing signals and (2) a personality-based personalization of trust-enhancing signals in its effect on cognition and behavior. For this purpose, an interactive online shop setup was created, which served as realistic environmental framework. First, the results show a trust-enhancing effect of both objective and subjective personalization, with a superiority of subjective over objective personalization. Second, results suggest a particular susceptibility of the beliefs component of trust. Third, the results suggest that personalization exerts a specifically strong effect in what is, by definition, the particularly uncertain environment of credence goods. Fourth, results indicate that while the trust-enhancing effects of personalization operate (largely) independently of personality, the effect of personality on trust seems to depend on the condition of signal presentation. Taken together, the present work makes a contribution to understanding the effect of personality-adapted signaling environments on the emergence of trust and decision making in the specific context of B2C e-commerce.
This work illustrates how the targeted tailoring of supramolecular cavities can not only accomplish high binding due to optimized stereoelectronic shape matches between host and guest but also how molecular engineering of the binding site by a refined substitution periphery of the cavity makes enantiospecific guest recognition and host mediated chirality transfer feasible. Moreover, an enzyme mimic, following the Pauling-Jencks model of enzyme catalysis was realized by the smart design of a PBI host composed of moderately twisted chromophores, which drives the substrate inversion according to the concepts of transition state stabilization and ground state destabilization. The results of this thesis contribute to a better understanding of structure-specific interactions in host-guest complexes as well as the corresponding thermodynamic and kinetic properties and represent an appealing blueprint for the design of new artificial complex structures of high stereoelectronic shape complementarity in order to achieve the goal of sophisticated supramolecular receptors and enzyme mimicry.
Learning accompanies us throughout our lives, from early childhood education through
school, training and university to learning at work. However, much of what we learn is quickly
forgotten. The use of practice tests is a learning strategy that contributes to the acquisition of
sustainable knowledge, i.e. knowledge that is permanently available and can be retrieved when
it is needed. This dissertation first presents findings from previous research on testing in real
educational contexts and discusses theoretically why certain learner or situational
characteristics might influence the effectiveness of the testing effect. Furthermore, a cycle of
three experiments is presented, which were used to investigate whether the positive effect of
practice tests on retention (testing effect) depends on personal or situational characteristics and
also promotes the retention of lecture content that was not directly tested (transfer) in the context
of regular psychology lectures in teacher training courses. In an additional chapter, feedback
from students on the implementation of the study in the classroom context is examined in more
detail. Finally, the results of the three studies are discussed and placed in relation to the theories
presented. The central conclusion from the studies presented is that the testing effect appears to
be a very effective learning strategy that can be used effectively in university teaching and leads
to better learning outcomes regardless of learner characteristics. However, the practice tests
should cover the entire range of relevant content, as transfer effects to non-tested content are
not to be expected.
Anxiety patients overgeneralize fear, also because of an inability to perceptually discriminate threat and safety signals. Therefore, some studies have developed discrimination training that successfully reduced the occurrence of fear generalization. The present work is the first to take a treatment-like approach by using discrimination training after generalization has occurred. Therefore, two studies were conducted with healthy participants using the same fear conditioning and generalization paradigm, with two faces as conditioned stimuli (CSs), and four facial morphs between CSs as generalization stimuli (GSs). Only one face (CS+) was followed by a loud scream (unconditioned stimulus, US). In Study 1, participants underwent either fear-relevant (discriminating faces) or fear-irrelevant discrimination training (discriminating width of lines) or a non-discriminative control training between the two generalization tests, each with or without feedback (n = 20 each). Generalization of US expectancy was reduced more effectively by fear-relevant compared to fear-irrelevant discrimination training. However, neither discrimination training was more effective than non-discriminative control training. Moreover, feedback reduced generalization of US expectancy only in discrimination training. Study 2 was designed to replicate the effects of the discrimination-training conditions in a large sample (N = 244) and examine their benefits in individuals at risk for anxiety disorders. Again, feedback reduced fear generalization particularly well for US expectancy. Fear relevance was not confirmed to be particularly fear-reducing in healthy participants, but may enhance training effects in individuals at risk of anxiety disorder. In summary, this work provides evidence that existing fear generalization can be reduced by discrimination training, likely involving several (higher-level) processes besides perceptual discrimination (e.g., motivational mechanisms in feedback conditions). Its use may be promising as part of individualized therapy for patients with difficulty discriminating similar stimuli.
Adoptive cellular immunotherapy with chimeric antigen receptor (CAR) T cells is highly effective in haematological malignancies. This success, however, has not been achieved in solid tumours so far. In contrast to hematologic malignancies, solid tumours include a hostile tumour microenvironment (TME), that poses additional challenges for curative effects and consistent therapeutic outcome. These challenges manifest in physical and immunological barriers that dampen efficacy of the CAR T cells. Preclinical testing of novel cellular immunotherapies is performed mainly in 2D cell culture and animal experiments. While 2D cell culture is an easy technique for efficacy analysis, animal studies reveal information about toxicity in vivo. However, 2D cell culture cannot fully reflect the complexity observed in vivo, because cells are cultured without anchorage to a matrix and only short-term periods are feasible. Animal studies provide a more complex tissue environment, but xenografts often lack human stroma and tumour inoculation occurs mostly ectopically. This emphasises the need for standardisable and scalable tumour models with incorporated TME-aspects, which enable preclinical testing with enhanced predictive value for the clinical outcome of immunotherapies. Therefore, microphysiologic 3D tumour models based on the biological SISmuc (Small Intestinal mucosa and Submucosa) matrix with preserved basement membrane were engaged and improved in this work to serve as a modular and versatile tumour model for efficacy testing of CAR T cells. In order to reflect a variety of cancer entities, TME-aspects, long-term stability and to enhance the read-out options they were further adapted to achieve scalable and standardisable defined microphysiologic 3D tumour models. In this work, novel culture modalities (semi-static, sandwich-culture) were characterised and established that led to an increased and organised tissue generation and long-term stability. Application of the SISmuc matrix was extended to sarcoma and melanoma models and serial bioluminescence intensity (BLI)-based in vivo imaging analysis was established in the microphysiologic 3D tumour models, which represents a time-efficient read-out method for quality evaluation of the models and treatment efficacy analysis, that is independent of the cell phenotype. Isolation of cancer-associated-fibroblasts (CAFs) from lung (tumour) tissue was demonstrated and CAF-implementation further led to stromal-enriched microphysiologic 3D tumour models with in vivo-comparable tissue-like architecture. Presence of CAFs was confirmed by CAF-associated markers (FAP, α-SMA, MMP-2/-9) and cytokines correlated with CAF phenotype, angiogenesis, invasion and immunomodulation. Additionally, an endothelial cell barrier was implemented for static and dynamic culture in a novel bioreactor set-up, which is of particular interest for the analysis of immune cell diapedesis. Studies in microphysiologic 3D Ewing’s sarcoma models indicated that sarcoma cells could be sensitised for GD2-targeting CAR T cells. After enhancing the scale of assessment of the microphysiologic 3D tumour models and improving them for CAR T cell testing, the tumour models were used to analyse their sensitivity towards differently designed receptor tyrosine kinase-like orphan receptor 1 (ROR1) CAR T cells and to study the effects of the incorporated TME-aspects on the CAR T cell treatment respectively. ROR1 has been described as a suitable target for several malignancies including triple negative breast cancer (TNBC), as well as lung cancer. Therefore, microphysiologic 3D TNBC and lung cancer models were established. Analysis of ROR1 CAR T cells that differed in costimulation, spacer length and targeting domain, revealed, that the microphysiologic 3D tumour models are highly sensitive and can distinguish optimal from sub-optimal CAR design. Here, higher affinity of the targeting domain induced stronger anti-tumour efficacy and anti-tumour function depended on spacer length, respectively. Long-term treatment for 14 days with ROR1 CAR T cells was demonstrated in dynamic microphysiologic 3D lung tumour models, which did not result in complete tumour cell removal, whereas direct injection of CAR T cells into TNBC and lung tumour models represented an alternative route of application in addition to administration via the medium flow, as it induced strong anti-tumour response. Influence of the incorporated TME-aspects on ROR1 CAR T cell therapy represented by CAF-incorporation and/or TGF-β supplementation was analysed. Presence of TGF-β revealed that the specific TGF-β receptor inhibitor SD-208 improves ROR1 CAR T cell function, because it effectively abrogated immunosuppressive effects of TGF-β in TNBC models. Implementation of CAFs should provide a physical and immunological barrier towards ROR1 CAR T cells, which, however, was not confirmed, as ROR1 CAR T cell function was retained in the presence of CAFs in stromal-enriched microphysiologic 3D lung tumour models. The absence of an effect of CAF enrichment on CAR T cell efficacy suggests a missing component for the development of an immunosuppressive TME, even though immunomodulatory cytokines were detected in co-culture models. Finally, improved gene-edited ROR1 CAR T cells lacking exhaustion-associated genes (PD-1, TGF-β-receptor or both) were challenged by the combination of CAF-enrichment and TGF-β in microphysiologic 3D TNBC models. Results indicated that the absence of PD-1 and TGF-β receptor leads to improved CAR T cells, that induce strong tumour cell lysis, and are protected against the hostile TME. Collectively, the microphysiologic 3D tumour models presented in this work reflect aspects of the hostile TME of solid tumours, engage BLI-based analysis and provide long-term tissue homeostasis. Therefore, they present a defined, scalable, reproducible, standardisable and exportable model for translational research with enhanced predictive value for efficacy testing and candidate selection of cellular immunotherapy, as exemplified by ROR1 CAR T cells.
Since the prediction of the quantum spin Hall effect in graphene by Kane and Mele, \(Z_2\) topology in hexagonal monolayers is indissociably linked to high-symmetric honeycomb lattices. This thesis breaks with this paradigm by focusing on topological phases in the fundamental two-dimensional hexagonal crystal, the triangular lattice. In contrast to Kane-Mele-type systems, electrons on the triangular lattice profit from a sizable, since local, spin-orbit coupling (SOC) and feature a non-trivial ground state only in the presence of inversion symmetry breaking. This tends to displace the valence charge form the atomic position. Therefore, all non-trivial phases are real-space obstructed. Inspired by the contemporary conception of topological classification of electronic systems, a comprehensive lattice and band symmetry analysis of insulating phases of a \(p\)-shell on the triangular lattice is presented. This reveals not only the mechanism at the origin of band topology, the competition of SOC and symmetry breaking, but sheds also light on the electric polarization arising from a displacement of the valence charge centers from the nuclei, i. e., real-space obstruction. In particular, the competition of SOC versus horizontal and vertical reflection symmetry breaking gives rise to four topologically distinct insulating phases: two kinds of quantum spin Hall insulators (QSHI), an atomic insulator and a real-space obstructed higher-order topological insulator. The theoretical analysis is complemented with state-of-the-art first principles calculations and experiments on trigonal monolayer adsorbate systems. This comprises the recently discovered triangular QSHI indenene, formed by In atoms, and focuses on its topological classification and real-space obstruction. The analysis reveals Kane-Mele-type valence bands which profit from the atomic SOC of the triangular lattice. The realization of a HOTI is proposed by reducing SOC by considering lighter adsorbates. Further the orbital Rashba effect is analyzed in AgTe, a consequence of mirror symmetry breaking, the formation of local angular momentum polarization and SOC. As an outlook beyond topology, the Fermi surface and electronic susceptibility of Group V adsorbates on silicon carbide are investigated.
In summary, this thesis elucidates the interplay of symmetry breaking and SOC on the triangular lattice, which can promote non-trivial insulating phase.
Graphs provide a key means to model relationships between entities.
They consist of vertices representing the entities,
and edges representing relationships between pairs of entities.
To make people conceive the structure of a graph,
it is almost inevitable to visualize the graph.
We call such a visualization a graph drawing.
Moreover, we have a straight-line graph drawing
if each vertex is represented as a point
(or a small geometric object, e.g., a rectangle)
and each edge is represented as a line segment between its two vertices.
A polyline is a very simple straight-line graph drawing,
where the vertices form a sequence according to which the vertices are connected by edges.
An example of a polyline in practice is a GPS trajectory.
The underlying road network, in turn, can be modeled as a graph.
This book addresses problems that arise
when working with straight-line graph drawings and polylines.
In particular, we study algorithms
for recognizing certain graphs representable with line segments,
for generating straight-line graph drawings,
and for abstracting polylines.
In the first part, we first examine,
how and in which time we can decide
whether a given graph is a stick graph,
that is, whether its vertices can be represented as
vertical and horizontal line segments on a diagonal line,
which intersect if and only if there is an edge between them.
We then consider the visual complexity of graphs.
Specifically, we investigate, for certain classes of graphs,
how many line segments are necessary for any straight-line graph drawing,
and whether three (or more) different slopes of the line segments
are sufficient to draw all edges.
Last, we study the question,
how to assign (ordered) colors to the vertices of a graph
with both directed and undirected edges
such that no neighboring vertices get the same color
and colors are ascending along directed edges.
Here, the special property of the considered graph is
that the vertices can be represented as intervals
that overlap if and only if there is an edge between them.
The latter problem is motivated by an application
in automated drawing of cable plans with vertical and horizontal line segments,
which we cover in the second part.
We describe an algorithm that
gets the abstract description of a cable plan as input,
and generates a drawing that takes into account
the special properties of these cable plans,
like plugs and groups of wires.
We then experimentally evaluate the quality of the resulting drawings.
In the third part, we study the problem of abstracting (or simplifying)
a single polyline and a bundle of polylines.
In this problem, the objective is to remove as many vertices as possible from the given polyline(s)
while keeping each resulting polyline sufficiently similar to its original course
(according to a given similarity measure).
Electrochemical impedance spectroscopy (EIS) is a valuable technique analyzing electrochemical behavior of biological systems such as electrical characterization of cells and biomolecules, drug screening, and biomaterials in biomedical field. In EIS, an alternating current (AC) power signal is applied to the biological system, and the impedance of the system is measured over a range of frequencies.
In vitro culture models of endothelial or epithelial barrier tissue can be achieved by culturing barrier tissue on scaffolds made with synthetic or biological materials that provide separate compartments (apical and basal sides), allowing for further studies on drug transport. EIS is a great candidate for non-invasive and real-time monitoring of the electrical properties that correlate with barrier integrity during the tissue modeling. Although commercially available transendothelial/transepithelial electrical resistance (TEER) measurement devices are widely used, their use is particularly common in static transwell culture. EIS is considered more suitable than TEER measurement devices in bioreactor cultures that involve dynamic fluid flow to obtain accurate and reliable measurements. Furthermore, while TEER measurement devices can only assess resistance at a single frequency, EIS measurements can capture both resistance and capacitance properties of cells, providing additional information about the cellular barrier's characteristics across various frequencies. Incorporating EIS into a bioreactor system requires the careful optimization of electrode integration within the bioreactor setup and measurement parameters to ensure accurate EIS measurements. Since bioreactors vary in size and design depending on the purpose of the study, most studies have reported using an electrode system specifically designed for a particular bioreactor. The aim of this work was to produce multi-applicable electrodes and established methods for automated non-invasive and real-time monitoring using the EIS technique in bioreactor cultures. Key to the electrode material, titanium nitride (TiN) coating was fabricated on different substrates (materials and shape) using physical vapor deposition (PVD) and housed in a polydimethylsiloxane (PDMS) structure to allow the electrodes to function as independent units. Various electrode designs were evaluated for double-layer capacitance and morphology using EIS and scanning electron microscopy (SEM), respectively. The TiN-coated tube electrode was identified as the optimal choice. Furthermore, EIS measurements were performed to examine the impact of influential parameters related to culture conditions on the TiN-coated electrode system. In order to demonstrate the versatility of the electrodes, these electrodes were then integrated into in different types of perfusion bioreactors for monitoring barrier cells. Blood-brain barrier (BBB) cells were cultured in the newly developed dynamic flow bioreactor, while human umblical vascular endothelial cells (HUVECs) and Caco-2 cells were cultured in the miniature hollow fiber bioreactor (HFBR). As a result, the TiN-coated tube electrode system enabled investigation of BBB barrier integrity in long-term bioreactor culture. While EIS measurement could not detect HUVECs electrical properties in miniature HFBR culture, there was the possibility of measuring the barrier integrity of Caco-2 cells, indicating potential usefulness for evaluating their barrier function. Following the bioreactor cultures, the application of the TiN-coated tube electrode was expanded to hemofiltration, based on the hypothesis that the EIS system may be used to monitor clotting or clogging phenomena in hemofiltration. The findings suggest that the EIS monitoring system can track changes in ion concentration of blood before and after hemofiltration in real-time, which may serve as an indicator of clogging of filter membranes. Overall, our research demonstrates the potential of TiN-coated tube electrodes for sensitive and versatile non-invasive monitoring in bioreactor cultures and medical devices.
Barth Syndrome (BTHS) is an inherited X-chromosomal linked disorder, characterized by early development of cardiomyopathy, immune system defects, skeletal muscle myopathy and growth retardation. The disease displays a wide variety of symptoms including heart failure, exercise intolerance and fatigue due to the muscle weakness. The cause of the disease are mutations in the gene encoding for the mitochondrial transacylase Tafazzin (TAZ), which is important for remodeling of the phospholipid cardiolipin (CL). All mutations result in a pronounced decrease of the functional enzyme leading to an increase of monolysocardiolipin (MLCL), the precursor of mature CL, and a decrease in mature CL itself. CL is a hallmark phospholipid of mitochondrial membranes, highly enriched in the inner mitochondrial membrane (IMM). It is not only important for the formation of the cristae structures, but also for the function of different protein complexes associated with the mitochondrial membrane. Reduced levels of mature CL cause remodeling of the respiratory chain supercomplexes, impaired respiration, defects in the Krebs cycle and a loss of mitochondrial calcium uniporter (MCU) protein. The defective Ca2+ handling causes impaired redox homeostasis and energy metabolism resulting in cellular arrhythmias and defective electrical conduction. In an uncompensated situation, blunting mitochondrial Ca2+ uptake provokes increased mitochondrial emission of H2O2 during workload transitions, related to oxidation of NADPH, which is required to regenerate anti-oxidative enzymes. However, in the hearts and cardiac myocytes of mice with a global knock-down of the Taz gene (Taz-KD), no increase in mitochondrial ROS was observed, suggesting that other metabolic pathways may have compensated for reduced Krebs cycle activation.
The healthy heart produces most of its energy by consuming fatty acids. In this study, the fatty acid uptake into mitochondria and their further degradation was investigated, which showed a switch of the metabolism in general in the Taz-KD mouse model. In vivo studies revealed an increase of glucose uptake into the heart and decreased fatty acid uptake and oxidation. Disturbed energy conversion resulted in activation of retrograde signaling pathways, implicating overall changes in the cell metabolism. Upregulated integrated stress response (ISR) was confirmed by increased levels of the downstream target, i.e., the activating transcription factor 4 (ATF4). A Tafazzin knockout mouse embryonal fibroblast cell model (TazKO) was used to inhibit the ISR using siRNA transfection or pharmaceutical inhibition. This verified the central role of
II
the ISR in regulating the metabolism in BTHS. Moreover, an increased metabolic flux into glutathione biosynthesis was observed, which supports redox homeostasis. In vivo PET-CT scans depicted elevated activity of the xCT system in the BTHS mouse heart, which transports essential amino acids for the biosynthesis of glutathione precursors. Furthermore, the stress induced signaling pathway also affected the glutamate metabolism, which fuels into the Krebs cycle via -ketoglutarate and therefore supports energy converting pathways. In summary, this thesis provides novel insights into the energy metabolism and redox homeostasis in Barth syndrome cardiomyopathy and its regulation by the integrated stress response, which plays a central role in the metabolic alterations. The aim of the thesis was to improve the understanding of these metabolic changes and to identify novel targets, which can provide new possibilities for therapeutic intervention in Barth syndrome.
Platelets play an important role in haemostasis by mediating blood clotting at sites of blood vessel damage. Platelets, also participate in pathological conditions including thrombosis and inflammation. Upon vessel damage, two glycoprotein receptors, the GPIb-IX-V complex and GPVI, play important roles in platelet capture and activation.
GPIb-IX-V binds to von Willebrand factor and GPVI to collagen. This initiates a signalling cascade resulting in platelet shape change and spreading, which is dependent on the actin cytoskeleton. This thesis aimed to develop and implement different super-resolution microscopy techniques to gain a deeper understanding of the conformation and location of these receptors in the platelet plasma membrane, and to provide insights into their signalling pathways. We suggest direct stochastic optical reconstruction microscopy (dSTORM) and structured illumination microscopy (SIM) as the best candidates for imaging single platelets, whereas expansion microscopy (ExM) is ideal for imaging platelets aggregates.
Furthermore, we highlighted the role of the actin cytoskeleton, through Rac in GPVI signalling pathway. Inhibition of Rac, with EHT1864 in human platelets induced GPVI and GPV, but not GPIbα shedding. Furthermore, EHT1864 treatment did not change GPVI dimerisation or clustering, however, it decreased phospholipase Cγ2 phosphorylation levels, in human, but not murine platelets, highlighting interspecies differences. In summary, this PhD thesis demonstrates that; 1) Rac alters GPVI signalling pathway in human but not mouse platelets; 2) our newly developed ExM protocol can be used to image platelet aggregates labelled with F(ab’) fragments
Early-onset torsion dystonia (DYT-TOR1A, DYT1) is an inherited hyperkinetic movement disorder caused by a mutation of the TOR1A gene encoding the torsinA protein. DYT-TOR1A is characterized as a network disorder of the central nervous system (CNS), including predominantly the cortico-basal ganglia-thalamo-cortical loop resulting in a severe generalized dystonic phenotype. The pathophysiology of DYTTOR1A is not fully understood. Molecular levels up to large-scale network levels of the CNS are suggested to be affected in the pathophysiology of DYT-TOR1A. The reduced penetrance of 30% - 40% indicates a gene-environmental interaction, hypothesized as “second hit”. The lack of appropriate and phenotypic DYT-TOR1A animal models encouraged us to verify the “second hit” hypothesis through a unilateral peripheral nerve trauma of the sciatic nerve in a transgenic asymptomatic DYT-TOR1A rat model (∆ETorA), overexpressing the human mutated torsinA protein. In a multiscale approach, this animal model was characterized phenotypically and pathophysiologically.
Nerve-injured ∆ETorA rats revealed dystonia-like movements (DLM) with a partially generalized phenotype. A physiomarker of human dystonia, describing increased theta oscillation in the globus pallidus internus (GPi), was found in the entopeduncular nucleus (EP), the rodent equivalent to the human GPi, of nerve-injured ∆ETorA rats. Altered oscillation patterns were also observed in the primary motor cortex. Highfrequency stimulation (HFS) of the EP reduced DLM and modulated altered oscillatory activity in the EP and primary motor cortex in nerve-injured ∆ETorA rats. Moreover, the dopaminergic system in ∆ETorA rats demonstrated a significant increased striatal dopamine release and dopamine turnover. Whole transcriptome analysis revealed differentially expressed genes of the circadian clock and the energy metabolism, thereby pointing towards novel, putative pathways in the pathophysiology of DYTTOR1A dystonia.
In summary, peripheral nerve trauma can trigger DLM in genetically predisposed asymptomatic ΔETorA rats leading to neurobiological alteration in the central motor network on multiple levels and thereby supporting the “second hit” hypothesis. This novel symptomatic DYT-TOR1A rat model, based on a DYT-TOR1A genetic background, may prove as a valuable chance for DYT-TOR1A dystonia, to further investigate the pathomechanism in more detail and to establish new treatment strategies.
Chapter I: Introduction
Temperature is a major driver of biodiversity and abundance patterns on our planet, which becomes particularly relevant facing the entanglement of an imminent biodiversity and climate crisis. Climate shapes the composition of species assemblages either directly via abiotic filtering mechanisms or indirectly through alterations in biotic interactions. Insects - integral elements of Earth’s ecosystems - are affected by climatic variation such as warming, yet responses vary among species. While species’ traits, antagonistic biotic interactions, and even species’ microbial mutualists may determine temperature-dependent assembly processes, the lion’s share of these complex relationships remains poorly understood due to methodological constraints. Mountains, recognized as hotspots of diversity and threatened by rapidly changing climatic conditions, can serve as natural experimental settings to study the response of insect assemblages and their trophic interactions to temperature variation, instrumentalizing the high regional heterogeneity of micro- and macroclimate. With this thesis, we aim to enhance our mechanistic understanding of temperature-driven assembly processes within insect communities, exemplified by Orthoptera, that are significant herbivores in temperate mountain grassland ecosystems. Therefore, we combined field surveys of Orthoptera assemblages on grassland sites with molecular tools for foodweb reconstruction, primarily leveraging the elevational gradients offered by the complex topography within the Berchtesgaden Alpine region (Bavaria, Germany) as surrogate for temperature variation (space-for-time substitution approach). In this framework, we studied the effects of temperature variation on (1) species richness, abundance, community composition, and interspecific as well as intraspecific trait patterns, (2) ecological feeding specialisation, and (3) previously neglected links to microbial associates found in the faeces.
Chapter II: Temperature-driven assembly processes
Climate varies at multiple scales. Since microclimate is often overlooked, we assessed effects of local temperature deviations on species and trait compositions of insect communities along macroclimatic temperature gradients in Chapter II. Therefore, we employed joint species distribution modelling to explore how traits drive variation in the climatic niches of Orthoptera species at grassland sites characterized by contrasting micro- and macroclimatic conditions. Our findings revealed two key insights: (1) additive effects of micro- and macroclimate on the diversity, but (2) interactive effects on the abundance of several species, resulting in turnover and indicating that species possess narrower climatic niches than their elevational distributions might imply. This chapter suggests positive effects of warming on Orthoptera, but also highlights that the interplay of macro- and microclimate plays a pivotal role in structuring insect communities. Thus, it underscores the importance of considering both elements when predicting the responses of species to climate change. Additionally, this chapter revealed inter- and intraspecific effects of traits on the niches and distribution of species.
Chapter III: Dietary specialisation along climatic gradients
A crucial trait linked to the position of climatic niches is dietary specialisation. According to the ‘altitudinal niche-breadth hypothesis’, species of high-elevation habitats should be less specialized compared to their low-elevation counterparts. However, empirical evidence on shifts in specialization is scarce for generalist insect herbivores and existing studies often fail to control for the phylogeny and abundance of interaction partners. In Chapter III, we used a combination of field observations and amplicon sequencing to reconstruct dietary relationships between Orthoptera and plants along an extensive temperature gradient. We did not find close but flexible links between individual grasshopper and plant taxa in space. While interaction network specialisation increased with temperature, the corrected dietary specialisation pattern peaked at intermediate elevations on assemblage level. These nuanced findings demonstrate that (1) resource availability, (2) phylogenetic relationships, and (3) climate can affect empirical foodwebs intra- and interspecifically and, hence, the dietary specialisation of herbivorous insects. In this context, we discuss that the underlying mechanisms involved in shaping the specialisation of herbivore assemblages may switch along temperature clines.
Chapter IV: Links between faecal microbe communities, feeding habits, and climate
Since gut microbes affect the fitness and digestion of insects, studying their diversity could provide novel insights into specialisation patterns. However, their association with insect hosts that differ in feeding habits and specialisation has never been investigated along elevational climatic gradients. In Chapter IV, we utilized the dietary information gathered in Chapter III to characterize links between insects with distinct feeding behaviour and the microbial communities present in their faeces, using amplicon sequencing. Both, feeding and climate affected the bacterial communities. However, the large overlap of microbes at site level suggests that common bacteria are acquired from the shared feeding environment, such as the plants consumed by the insects. These findings emphasize the influence of a broader environmental context on the composition of insect gut microbial communities.
Chapter V: Discussion & Conclusions
Cumulatively, the sections of this dissertation provide support for the hypothesis that climatic conditions play a role in shaping plant–herbivore systems. The detected variation of taxonomic and functional compositions contributes to our understanding of assembly processes and resulting diversity patterns within Orthoptera communities, shedding light on the mechanisms that structure their trophic interactions in diverse climates. The combined results presented suggest that a warmer climate could foster an increase of Orthoptera species richness in Central European semi-natural grasslands, also because the weak links observed between insect herbivores and plants are unlikely to limit decoupled range shifts. However, the restructuring of Orthoptera communities in response to warmer temperatures depends on species' traits such as moisture preferences or phenology. Notably, we were able to demonstrate a crucial role of microclimate for many species, partly unravelling narrower climatic niches than their elevational ranges suggest. We found evidence that not only Orthoptera community composition, specialisation, and traits varied along elevational gradients, but even microbial communities in the faeces of Orthoptera changed, which is a novel finding. This complex restructuring and reassembly of communities, coupled with the nonlinear specialisation of trophic interactions and a high diversity of associated bacteria, emphasize our currently incomplete comprehension of how ecosystems will develop under future climatic conditions, demanding caution in making simplified predictions for biodiversity change under climate warming. Since these predictions may benefit from including biotic interactions and both, micro- and macroclimate based on our findings, conservation authorities and practitioners must not neglect improving microclimatic conditions to ensure local survival of a diverse set of threatened and demanding species. In this context, mountains can play a pivotal role for biodiversity conservation since these offer heterogeneous microclimatic conditions in proximity that can be utilized by species with distinct niches.
The detection of smallest mechanical loads plays an increasingly important role in many areas of advancing automation and manufacturing technology, but also in everyday life. In this doctoral thesis, various microparticle systems were developed that are able to indicate mechanical shear stress via simple mechanisms. Using a toolbox approach, these systems can be spray-dried from various nanoscale primary particles (silica and iron oxide) to micrometer-sized units, so-called supraparticles. By varying the different building blocks and in combination with different dyes, a new class of mechanochromic shear stress indicators was developed by constructing hierarchically structured core-shell supraparticles that can indicate mechanical stress via an easily detectable color change. Three different mechanisms can be distinguished. If a signal becomes visible only by a mechanical load, it is a turn-on indicator. In the opposite case, the turn-off indicator, the signal is switched off by a mechanical load. In the third mechanism, the color-change indicator, the color changes as a result of a mechanical load. In principle, these indicators can be used in two different ways. First, they can be incorporated into a coating as an additive. These coatings can be applied to a wide range of products, including food packaging, medical devices, and generally any sensitive surface where mechanical stress, such as scratches, is difficult to detect but can have serious consequences. Second, these shear stress indicators can also be used directly in powder form and for example then applied in 3D-printing or in ball mills. A total of six different shear stress indicators were developed, three of which were used as additives in coatings and three were applied in powder form. Depending on their composition, these indicators were readout by fluorescence, UV-Vis or Magnetic Particle Spectroscopy. The development of these novel shear stress indicator supraparticles were successfully combined molecular chemistry with the world of nano-objects to develop macroscopic systems that can enable smart and communicating materials to indicate mechanical stress in a variety of applications.
Lung cancer is the main cause of cancer-related deaths worldwide. Despite the availability of several targeted therapies and immunotherapies in the clinics, the prognosis for lung cancer remains poor. A major problem for the low benefit of these therapies is intrinsic and acquired resistance, asking for pre-clinical models for closer investigation of predictive biomarkers for refined personalized medicine and testing of possible combination therapies as well as novel therapeutic approaches to break resistances.
One third of all lung adenocarcinoma harbor mutations in the KRAS gene, of which 39 % are transitions from glycine to cysteine in codon 12 (KRASG12C). Being considered “undruggable” in previous decades, KRASG12C-inhibitors now paved the way into the standard-of-care for lung adenocarcinoma treatment in the clinics. Still, the overall response rates as well as overall survival of patients treated with KRASG12C-inhibitors are sobering. Therefore, 3D KRASG12C-biomarker in vitro models were developed based on a decellularized porcine jejunum (SISmuc) using commercial and PDX-derived cell lines and characterized in regards of epithelial-mesenchymal-transition (EMT), stemness, proliferation, invasion and c-MYC expression as well as the sensitivity towards KRASG12C-inhibiton. The phenotype of lung tumors harboring KRAS mutations together with a c-MYC overexpression described in the literature regarding invasion and proliferation for in vivo models was well represented in the SISmuc models. A higher resistance towards targeted therapies was validated in the 3D models compared to 2D cultures, while reduced viability after treatment with combination therapies were exclusively observed in the 3D models. In the test system neither EMT, stemness nor the c-MYC expression were directly predictive for drug sensitivity. Testing of a panel of combination therapies, a sensitizing effect of the aurora kinase A (AURKA) inhibitor alisertib for the KRASG12C-inhibitor ARS-1620 directly correlating with the level of c-MYC expression in the corresponding 3D models was observed. Thereby, the capability of SISmuc tumor models as an in vitro test system for patient stratification was demonstrated, holding the possibility to reduce animal experiments.
Besides targeted therapies the treatment of NSCLC with oncolytic viruses (OVs) is a promising approach. However, a lack of in vitro models to test novel OVs limits the transfer from bench to bedside. In this study, 3D NSCLC models based on the SISmuc were evaluated for their capability to perform efficacy and risk assessment of oncolytic viruses (OVs) in a pre-clinical setting. Hereby, the infection of cocultures of tumor cells and fibroblasts on the SISmuc with provided viruses demonstrated that in contrast to a wildtype herpes simplex virus 1 (HSV-1) based OV, the attenuated version of the OV exhibited specificity for NSCLC cells with a more advanced and highly proliferative phenotype, while fibroblasts were no longer permissive for infection. This approach introduced SISmuc tumor models as novel test system for in vitro validation of OVs.
Finally, a workflow for validating the efficacy of anti-cancer therapies in 3D tumor spheroids was established for the transfer to an automated platform based on a two-arm-robot system. In a proof-of-concept process, H358 spheroids were characterized and treated with the KRASG12C-inhibitor ARS-1620. A time- and dose-dependent reduction of the spheroid area after treatment was defined together with a live/dead-staining as easy-to-perform and cost-effective assays for automated drug testing that can be readily performed in situ in an automated system.
After priming in Peyer's patches (PPs) and mesenteric lymph nodes (mLN) T- cells infiltrate the intestine through lymphatic draining and homing through the bloodstream. However, we found that in mouse models of acute graft-versus-host disease (GvHD), a subset of alloreactive T-cells directly migrates from PPs to the adjacent intestinal lamina propria (LP), bypassing the normal lymphatic drainage and vascular trafficking routes. Notably, this direct migration occurred in irradiated and unirradiated GvHD models, indicating that irradiation is not a prerequisite for this observed behavior.
Next, we established a method termed serial intravascular staining (SIVS) in mouse models to systematically investigate the trafficking and migration of donor T- cells in the early stages of acute GvHD initiation. We found that the direct migration of T-cells from PPs to LP resulted in faster recruitment of cells after allogeneic hematopoietic cell transplantation (allo-HCT). These directly migrating T-cells were found to be in an activated and proliferative state, exhibiting a TH1/TH17-like phenotype and producing cytokines such as IFN-γ and TNF-α. Furthermore, we observed that the directly migrating alloreactive T-cells expressed specific integrins (α4+, αE+) and chemokine receptors (CxCR3+, CCR5+, and CCR9+). Surprisingly, blocking these integrins and chemokine-coupled receptors did not hinder the direct migration of T- cells from PPs to LP, suggesting the involvement of alternative mechanisms. Previous experiments ruled out the involvement of S1PR1 and topographical features of macrophages, leading us to hypothesize that mediators of cytoskeleton reorganization, such as Coro1a, Dock2, or Cdc42, may play a role in this unique migration process.
Additionally, we observed that directly migrating T-cells created a local inflammatory microenvironment, which attracts circulating T-cells. Histological analysis confirmed that alloreactive PPs-derived T-cells and bloodborne T-cells colocalized. We employed two experimental approaches, including either photoconversion of T-cells in PPs or direct transfer of activated T-cells into the vasculature, to demonstrate this colocalization. We hypothesize that cytokines released by migrating T-cells, such as IFN-γ and TNF-α, may play a role in recruiting T-cells from the vasculature, as inhibiting chemokine-coupled receptors did not impair recruitment.
Gastroesophageal junction (GEJ), demarcating the region where the distal esophagus meets with the proximal stomach region, is known for developing pathological conditions, including metaplasia and esophageal adenocarcinoma (EAC). It is essential to understand the mechanisms of developmental stages which lead to EAC since the incidence rate of EAC increased over 7-fold during the past four decades, and the overall five years survival rate is 18.4%. In most cases, patients are diagnosed in the advanced stage without prior symptoms. The main precursor for the development of EAC is a pre-malignant condition called Barrett's esophagus (BE). BE is the metaplastic condition where the multilayered squamous epithelium of the native esophagus is replaced by specialized single-layered columnar epithelium, which shows the molecular characteristics of the gastric as well as intestinal epithelium. The main risk factors for BE development include chronic gastro-esophageal acid reflux disease (GERD), altered microbiota, and altered retinoic acid signaling (RA). The cell of origin of BE is under debate due to a lack of clear evidence demonstrating the process of BE initiation. Here, I investigated how GEJ homeostasis is maintained in healthy tissue by stem cell regulatory morphogens, the role of vitamin A (RA signaling), and how its alteration contributes to BE development.
In the first part of my thesis, I showed the presence of two types of epithelial cells, the squamous type in the esophagus and the columnar type in the stomach region in the GEJ, using single-molecule RNA in situ hybridization (smRNA-ISH) and immunohistochemistry. Employing lineage tracing in the mouse model, I have demonstrated that the esophageal epithelial and stomach epithelial cells derived from two distinct epithelial stem cell lineages in the GEJ. The border between squamous and columnar epithelial cells in the Squamo-columnar junction (SCJ) of GEJ is regulated by opposing Wnt microenvironments. The regeneration of stomach columnar epithelial stem cells is maintained by Wnt activating signal from the stromal compartment while squamous epithelial stem cells of the esophagus are maintained by the Wnt inhibitory signals. I recapitulated the in vivo GEJ epithelial stem cell maintenance by using in vitro epithelial 3D organoid culture model. The growth and propagation of stomach columnar epithelial organoids depend on Wnt growth factors, while squamous epithelial organoids' development needs Wnt-deficient culture conditions.
Further, single-cell RNA sequence (scRNA-seq) analysis of organoid-derived epithelial cells revealed the non-canonical Wnt/ planar cell polarity (PCP) pathway involvement in regulating the squamous epithelial cells. In contrast, columnar stomach epithelial cells are regulated by the canonical Wnt/ beta-catenin and non-canonical Wnt/Ca2+ pathways. My data indicate that the SCJ epithelial cells that merge at the GEJ are regulated by opposing stromal Wnt factors and distinct Wnt pathway signaling in the epithelial cells.
In the second part of the thesis, I investigated the role of Vitamin A-derived bioactive compound RA on esophageal and stomach epithelial stem cells. In vitro treatment of esophageal and stomach, epithelial organoids with RA or its pharmacological inhibitor BMS 493 revealed that each cell type was regulated distinctly. I observed that enhanced RA promoted esophageal stem cell differentiation and loss of stratification, while RA inhibition led to enhanced stemness and regeneration of the esophagus stratified epithelium. As opposed to the esophagus, RA signaling is active in the stomach organoids, and inhibition of RA reduces the growth of stomach organoids. Global transcriptomic data and scRNA-seq data revealed that RA signaling induces dormancy phenotype in the esophageal cells. In contrast, the absence of RA in stomach epithelial cells induces the expression of genes associated with BE. Thus, spatially defined regulation of Wnt and RA signaling at GEJ is critical for healthy homeostasis, and its perturbation leads to disease development.