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Sonstige beteiligte Institutionen
- Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Raumfahrtsysteme (1)
- Institute of Transformative Bio-Molecules, Nagoya University, Nagoya, Japan (1)
- Joslin Diabetes Center, Harvard Medical School (1)
- Julius-von-Sachs-Institut für Biowissenschaften Lehrstuhl für Botanik II - Ökophysiologie und Vegetationsökologie (1)
- Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V. (1)
- Technische Hochschule Nürnberg Georg Simon Ohm (1)
- University of Stellenbosch, Division of Medical Virology (1)
- Universität Belgrad, Serbien (1)
- Université de Bordeaux, Bordeaux, France (1)
EU-Projektnummer / Contract (GA) number
- 311781 (1)
- EU (FP7/ 2007-2013) (1)
L-type calcium channels (LTCCs) control crucial physiological processes in cardiomyocytes such as the duration and amplitude of action potentials, excitation-contraction coupling and gene expression, by regulating the entry of Ca2+ into the cells. Cardiac LTCCs consist of one pore-forming α1 subunit and the accessory subunits Cavβ, Cavα2δ and Cavγ. Of these auxiliary subunits, Cavβ is the most important regulator of the channel activity; however, it can also have LTCC-independent cellular regulatory functions. Therefore, changes in the expression of Cavβ can lead not only to a dysregulation of LTCC activity, but also to changes in other cellular functions. Cardiac hypertrophy is one of the most relevant risk factors for congestive heart failure and depends on the activation of calcium-dependent prohypertrophic signaling pathways. However, the role of LTCCs and especially Cavβ in this pathology is controversial and needs to be further elucidated.
Of the four Cavβ isoforms, Cavβ2 is the predominant one in cardiomyocytes. Moreover, there are five different splice variants of Cavβ2 (Cavβ2a-e), differing only in the N-terminal region. We reported that Cavβ2b is the predominant variant expressed in the heart. We also revealed that a pool of Cavβ2 is targeted to the nucleus in cardiomyocytes. The expression of the nuclear Cavβ2 decreases during in vitro and in vivo induction of cardiomyocyte hypertrophy and overexpression of a nucleus-targeted Cavβ2 completely abolishes the in vitro induced hypertrophy. Additionally, we demonstrated by shRNA-mediated protein knockdown that downregulation of Cavβ2 enhances the hypertrophy induced by the α1-adrenergic agonist phenylephrine (PE) without involvement of LTCC activity. These results suggest that Cavβ2 can regulate cardiac hypertrophy through LTCC-independent pathways. To further validate the role of the nuclear Cavβ2, we performed quantitative proteome analyses of Cavβ2-deficient neonatal rat cardiomyocytes (NRCs). The results show that downregulation of Cavβ2 influences the expression of various proteins, including a decrease of calpastatin, an inhibitor of the calcium-dependent cysteine protease calpain. Moreover, downregulation of Cavβ2 during cardiomyocyte hypertrophy drastically increases calpain activity as compared to controls after treatment with PE. Finally, the inhibition of calpain by calpeptin abolishes the increase in PE-induced hypertrophy in Cavβ2-deficient cells. These results suggest that nuclear Cavβ2 has Ca2+- and LTCC-independent functions during the development of hypertrophy. Overall, our results indicate a new role for Cavβ2 in antihypertrophic signaling in cardiac hypertrophy.
Allocation planning describes the process of allocating scarce supply to individual customers in order to prioritize demands from more important customers, i.e. because they request a higher service-level target. A common assumption across publications is that allocation planning is performed by a single planner with the ability to decide on the allocations to all customers simultaneously. In many companies, however, there does not exist such a central planner and, instead, allocation planning is a decentral and iterative process aligned with the company's multi-level hierarchical sales organization.
This thesis provides a rigorous analytical and numerical analysis of allocation planning in such hierarchical settings. It studies allocation methods currently used in practice and shows that these approaches typically lead to suboptimal allocations associated with significant performance losses. Therefore, this thesis provides multiple new allocation approaches which show a much higher performance, but still are simple enough to lend themselves to practical application. The findings in this thesis can guide decision makers when to choose which allocation approach and what factors are decisive for their performance. In general, our research suggests that with a suitable hierarchical allocation approach, decision makers can expect a similar performance as under centralized planning.
Neisseria meningitidis (N. meningitidis) is a human commensal that occasionally causes life-threatening infections such as bacterial meningitis and septicemia. Despite experi-mental evidence that the expression of small non-coding RNAs (sRNAs) as well as the RNA chaperone Hfq affect meningococcal physiology, the impact of RNA-based regula-tion (riboregulation) on fitness and virulence in N. meningitidis is only poorly understood. Therefore, this study addressed these issues using a combination of high-throughput tech-nologies.
A differential RNA-sequencing (dRNA-seq) approach was applied to produce a single-nucleotide resolution map of the primary transcriptome of N. meningitidis strain 8013. The dRNA-seq analysis predicted 1,625 transcriptional start sites including 65 putative sRNAs, of which 20 were further validated by northern blot analysis. By Hfq RNA im-munopreci-pitation sequencing a large Hfq-centered post-transcriptional regulatory net-work comprising 23 sRNAs and 401 potential mRNA targets was identified. Rifampicin stability assays demonstrated that Hfq binding confers enhanced stability on its associat-ed sRNAs. Based on these data, the interactions of two paralogous sRNAs and their cog-nate target mRNA prpB were validated in vivo as well as in vitro. Both sRNAs directly repress prpB encoding a methylisocitrate lyse which was previously shown to be involved in meningococcal colonization of the human nasopharynx.
Besides the well-described RNA chaperone Hfq, FinO-domain proteins have recently been recognized as a widespread family of RNA-binding proteins (RBPs) with regulatory roles in diverse bacteria. They display an intriguing bandwidth of target sites, ranging from a single RNA pair as recognized by plasmid-encoded FinO to the global RNA regu-lons of enterobacterial ProQ proteins. To better understand the intrinsic targeting mode of this RBP family, in vivo targets of the minimal ProQ protein of N. meningitidis were de-termined. In vivo UV crosslinking with RNA deep sequencing (UV-CLIP) identified as-sociations of ProQ with 16 sRNAs and 166 mRNAs encoding a variety of biological functions and thus revealed ProQ as another global RBP in meningococci. It could be shown that meningococcal ProQ predominantly binds to highly structured RNA regions including DNA uptake sequences (DUS) and rho-independent transcription terminators and stabilizes many of its RNA targets as proved by rifampicin stability experiments. As expected from the large suite of ProQ-bound RNAs, proQ deletion globally affects both gene and protein expression in N. meningitidis, changing the expression levels of at least 244 mRNAs and 80 proteins. Phenotypic analyses suggested that ProQ promotes oxida-tive stress tolerance and UV damage repair capacity, both of which are required for full virulence of N. meningitidis.
Together, this work uncovers the co-existence of two major post-transcriptional regulons, one governed by ProQ, the other by Hfq, in N. meningitidis. It further highlights the role of these distinct RBPs and its associated sRNAs to bacterial virulence and indicates that riboregulation is likely to contribute to the way how meningococci adapt to different host niches.
A continuous arms race between the development of novel antibiotics and the evolution of corresponding resistance mechanisms in bacteria has been observed, since antibiotic agents like arsphenamines (e.g. Salvarsan, developed by Paul Ehrlich [1]), sulphonamides (e.g. Prontosil, Gerhard Domagk [2]) and penicillin (Alexander Fleming [3]) were first applied to effectively cure bacterial infections in the early 20th century. The rapid emergence of resistances in contrast to the currently lagging discovery of antibiotics displays a severe threat to human health. Some serious infectious diseases, such as tuberculosis or melioidosis, which were either thought to be an issue only in Third-World countries in case of tuberculosis, or regionally restricted with respect to melioidosis, are now on the rise to expand to other areas. In contrast, methicillin-resistant Staphylococcus aureus (MRSA) is already present in clinical setups all over the world and causes severe infections in immunocompromised patients. Thus, there is an urgent need for new and effective antimicrobial agents, which impair vital functions of the pathogen’s metabolism.
One central metabolic pathway is represented by the bacterial fatty-acid synthesis pathway (FAS II), which is essential for the synthesis of long and branched-chain fatty acids, as well as mycolic acids. These substances play a major role as modulating components of the properties of the most important protective barrier – the cell envelope. The integrity of the bacterial cell wall and the associated membrane(s) is crucial for cell growth and for protection against physical strain, intrusion of antibiotic agents and regulation of uptake of ions and other small molecules. Thus, this central pathway represents a promising target for antibiotic action against pathogens to combat infectious diseases. The last and rate-limiting step is catalysed by the trans-2-enoyl-ACP reductase (ENR) FabI or InhA (in mycobacteria), which has been demonstrated to be a valuable target for drug design and can be addressed, amongst others, by diphenyl ether (DPE) compounds, derived from triclosan (TCL) – the first one of this class which was discovered to bind to ENR enzymes [4, 5].
Based on this scaffold, inhibitors containing different combinations of substituents at crucial positions, as well as a novel type of substituent at position five were investigated regarding their binding behaviour towards the Burkholderia pseudomallei and Mycobacterium tuberculosis ENR enzymes bpFabI and InhA, respectively, by structural, kinetic and in-vivo experiments. Generally, substitution patterns modulate the association and dissociation velocities of the different ENR inhibitors in the context of the two-step slow-onset binding mechanism, which is observed for both enzymes. These alterations in the rapidity of complex formation and decomposition have a crucial impact on the residence time of a compound and hence, on the pharmacokinetic properties of potential drug candidates. For example, the substituents at the 2’-position of the DPE scaffold influence the ground- and transition state stability during the binding process to bpFabI, whereas 4’-substituents primarily alter the transition state [6]. The novel triazole group attached to the 5-position of the scaffold, targeting the hydrophobic part of the substrate-binding pocket in InhA, significantly enhances the energy barrier of the transition state of inhibitor binding [7] and decelerates the association- as well as the dissociation processes. Combinations with different substituents at the 2’-position can enhance or diminish this effect, e.g. by ground-state stabilisation, which will result in an increased residence time of the respective inhibitor on InhA.
Further structural investigations carried out in this work, confirm the proposed binding mode of a customised saFabI inhibitor [8], carrying a pyridone moiety on the DPE scaffold to expand interactions with the protein environment. Structural and preliminary kinetic data confirm the binding of the same inhibitor to InhA in a related fashion. Comparisons with structures of the ENR inhibitor AFN-1252 [9] bound to ENR enzymes from other organisms, addressing a similar region as the pyridone-moiety of the DPE inhibitor, suggest that also the DPE inhibitor bears the potential to display binding to homologues of saFabI and InhA and may be optimised accordingly.
Both of the newly investigated substituents, the pyridone moiety at the 4’-position as well as the 5-triazole substituent, provide a good starting point to modify the DPE scaffold also towards improved kinetic properties against ENR enzymes other than the herein studied and combining both groups on the DPE scaffold may have beneficial effects. The understanding of the underlying binding mechanism is a crucial factor to promote the dedicated design of inhibitors with superior pharmacokinetic characteristics.
A second target for a structure-based drug-design approach is the interaction surface between ENR enzymes and the acyl-carrier protein (ACP), which delivers the growing acyl chain to each distinct enzyme of the dissociated FAS-II system and presumably recognises its respective interaction partner via electrostatic contacts. The interface between saACP and saFabI was investigated using different approaches including crosslinking experiments and the design of fusion constructs connecting the ACP and the FabI subunits via a flexible linker region of varying lengths and compositions. The crosslinking studies confirmed a set of residues to be part of the contact interface of a previously proposed complex model [10] and displayed high crosslinking efficiency of saACP to saFabI when mutated to cysteine residues. However, crystals of the complex obtained from either the single components, or of the fusion constructs usually displayed weak diffraction, which supports the assumption that complex formation is highly transient. To obtain ordered crystals for structural characterisation of the complex it is necessary to trap the complex in a fixed state, e.g. by a high-affinity substrate attached to ACP [11], which abolishes rapid complex dissociation. For this purpose, acyl-coupled long-residence time inhibitors might be a valuable tool to elucidate the detailed architecture of the ACP-FabI interface. This may provide a novel basis for the development of inhibitors that specifically target the FAS-II biosynthesis pathway.
In the framework of the presented doctoral thesis, the plant ubiquitous, non-selective vacuolar cation channel TPC1/SV was electrophysiologically studied in Arabidopsis thaliana mesophyll vacuoles to further enlighten its physiological role in plant stress responses. For this, the hyperactive channel version fou2 (D454N), gaining a non-functional vacuolar calcium sensor, strong retarded growth phenotype and upregulated JA signalling pathway, and eight fou2 reverting WT-like ouf mutants were used. Except of ouf4, all other seven ouf mutants carried a 2nd mutation in the TPC1 gene. Therefore, the TPC1 electrical features of all ouf mutants were electrophysiologically characterized with the patch clamp method and compared with fou2 and WT.
Due to a missense mutation, ouf1 and ouf7 mutants harboured a truncated TPC1 channel protein, resulting in an impaired protein integrity and in turn loss of TPC1 channel activity. Accordingly, ouf1 and ouf7 mimicked the tpc1-2 null mutant with a WT- rather fou2-like phenotype. The ouf2 (G583D D454N) mutant exhibited inactive TPC1 channels, probably because the G583D mutation located in luminal part of the S11 helix caused (i) a shift of the activation threshold to much more positive voltages (i.e. to more than +110 mV) (ii) or channel blockage. As a result of the TPC1 channel inactivity, the ouf2 mutant also imitates the WT-like phenotype of the tpc1-2 null mutant. In the ouf6 mutant (A669V D454N) the 2nd reverting mutation selectively influenced fou2-like SV channel features. Both, the fast activation kinetics and reduced luminal calcium sensitivity were similar in ouf6 and fou2. However, deviations in both, the relative and absolute open channel probability, resulted in strongly reduced (80 %) current density at 0 mM and channel inactivity in the voltage range between -30 mV to +40 mV compared to fou2 and WT. Furthermore, the TPC1 channels in ouf6 exhibited a higher susceptibility to inhibitory luminal Ca2+ than fou2. As a result of these different effects, the TPC1 channel activity almost vanished at high luminal Ca2+ loads, what is very likely the reason that ouf6 lost the fou2-like phenotype. The ouf4 mutation did not change the fou2 TPC1-channel features like fast channel activation, single channel conductance and voltage-dependent gating behaviour. Nevertheless, the TPC1 current density was 80% less in ouf4 than in fou2. Since the TPC1 gene was not the target of the 2nd mutation, it can be assumed that it is modulated via external, yet unknown factor. In the ouf8 mutant the TPC1 channels additionally possess M629I mutation within the selectivity filter II resulting in a 50% decrease in the TPC1 unitary conductance. However, the slightly increased relative open channel probability of the TPC1 channels in ouf8 compared to fou2 appeared to be sufficient to compensate the reduced transport capacity of individual TPC1 channels. As a result, a similar macroscopic outward current density of ouf8 and fou2 was detected in the absence of vacuolar Ca2+. Furthermore, ouf8 mutation did not drastically change the typical fou2 TPC1 channel features such as fast activation, vacuolar calcium insensitivity and voltage dependency. However, a reversible block of the cytosol-directed potassium efflux at increased vacuolar calcium concentration in ouf8 mutant was found. Further inspection of transiently expressed TPC1 channel variants (M629I, M629T) on the single channel level suggest that Met629 of AtTPC1 in the channel pore region is crucial for the unitary channel conductance.
Taken together, current membrane recordings from ouf mutants revealed one common feature: All of them lacked or showed a strongly impaired ability for TPC1-mediated potassium release from the vacuole into the cytosol. Additionally, considering the detected dependence of the vacuolar membrane voltage on TPC1 activity, it thus seems that the TPC1-triggered vacuolar membrane depolarization caused by vacuolar K+ release plays a key role in generation of the fou2-like phenotype. Accordingly, one can conclude that TPC1-dependent vacuolar membrane depolarization and initiation of jasmonate production are likely linked. This statement is supported also by the complete restoration of WT-like plant phenotype and JA signalling in the ouf mutants. Finally, as a control element of the vacuolar membrane voltage TPC1 is probably upstream located in JA signalling pathway and therefore a perfect junction for linking multiple physiological stimuli and response to them.
Im Rahmen der vorgelegten Doktorarbeit wurde der in Pflanzen ubiquitär exprimierte, nicht-selektive vakuoläre Kationenkanal TPC1/SV elektrophysiologisch in Arabidopsis thaliana Mesophyllvakuolen untersucht, um seine physiologische Rolle in der pflanzlichen Stressantwort weiter aufzuklären. Hierfür wurde die hyperaktive Kanalvariante fou2 (D454N), die einen nicht-funktionalen vakuolären Calciumsensor, ein stark verzögertes Pflanzenwachstum und einen hochregulierten Jasmonsäure-Signalweg aufweist, sowie acht ouf Mutanten mit fou2-umkehrenden Phänotyp benutzt. Mit Ausnahme von ouf4 enthalten alle anderen ouf Mutanten eine weitere Mutation im TPC1-Gen. Daher wurden die elektrischen Eigenschaften von TPC1 in allen ouf Mutanten elektrophysiologisch mittels der Patch clamp Technik charakterisiert und mit fou2 und dem Wildtyp verglichen.
Aufgrund einer Missense-Mutation beinhalten die Mutanten ouf1 und ouf7 ein verkürztes TPC1 Protein, woraus eine gestörte Proteinintegrität resultiert und daraus wiederum ein Fehlen der TCP1-Kanalaktivität. Dementsprechend ähneln ouf1 und ouf7 der tpc1-2 Nullmutante mit einem WT- oder eher fou2-artigen Phänotyp. Wahrscheinlich weist die ouf2 (G583D D454N) Mutante einen inaktiven TPC1-Kanal auf, weil die G583D Mutation, die in einem luminalen Teil der S11 Helix sitzt, eine Verschiebung der Aktivierungsschwelle hin zu einer höheren Spannung (z. B. mehr als +110 mV) oder einen Kanalblock verursacht. Als Folge der TPC1 Kanal Inaktivität, ahmt die ouf2 Mutante auch den WT-ähnlichen Phänotyp der tpc1-2 Nullmutante nach. In der ouf6 Mutante (A669V D454N) beeinflusst die zweite Mutation selektiv die fou2-ähnlichen SV-Kanaleigenschaften. Sowohl die schnelle Aktivierungskinetik als auch die verringerte luminale Calciumsensitivität waren denen von ouf6 und fou2 ähnlich. Die Abweichungen in der relativen sowie der absoluten Offenwahrscheinlichkeit resultierten jedoch in einer stark reduzierten (80 %) Stromdichte bei 0 mM luminalem Calcium verglichen mit fou2 und dem WT, sowie einer Kanalinaktivität bei Spannungen zwischen -30 mV und +40 mV. Darüber hinaus zeigten die TPC1 Kanäle in ouf6 eine höhere Anfälligkeit für inhibitorisches, luminales Calcium als die in fou2. Das Ergebnis der beiden unterschiedlichen Effekte ist, dass die TPC1 Kanalaktivität bei einer hohen luminalen Calciumkonzentration fast verschwindet, woraus zu schließen ist, dass ouf6 den fou2-ähnlichen Phänotyp verlor. Die ouf4 Mutation veränderte nicht die fou2 TPC1 Kanaleigenschaften, wie die schnelle Kanalaktivierung, die Einzelkanalleitfähigkeit und das spannungsabhängige Verhalten. Nichtsdestotrotz war die TCP1 Stromdichte in ouf4 um 80 % geringer als in fou2. Da das TPC1 Gen nicht das Ziel der zweiten Mutation war, kann angenommen werden, dass es durch äußere, bisher noch unbekannte Faktoren, reguliert wird. In der ouf8 Mutante haben die TPC1 Kanäle zusätzlich eine M629I Mutation innerhalb des zweiten Selektivitätsfilters, welche in einem 50 % Rückgang der TCP1 Einzelkanalleitfähigkeit resultiert. Jedoch scheint die leicht erhöhte Offenwahrscheinlichkeit der TCP1 Kanäle in ouf8, verglichen mit fou2, ausreichend zu sein, um die reduzierte Transportkapazität der individuellen TPC1 Kanäle zu kompensieren. Schlussfolgernd wurde eine ähnliche makroskopische auswärts gerichtete Stromdichte des ouf8 und des fou2 in Abwesenheit vakuolären Calciums entdeckt. Des Weiteren änderte eine ouf8 Mutation die fou2 TPC1 Kanaleigenschaften wie eine schnelle Aktivierung, vakuoläre Calciuminsensitivität und die Spannungsabhängigkeit nicht drastisch. Jedoch wurde ein reversibler Block des Zytosol-gerichteten Kalium Ausstroms bei erhöhten vakuolären Calcium Konzentrationen in ouf8 gefunden. Eine weitere Betrachtung transient exprimierter TPC1 Kanalvarianten (M629I, M629T) auf Einzelkanalebene weist darauf hin, dass das Met629 des AtTPC1 in der Kanalporenregion entscheidend ist für die Einzelkanalleitfähigkeit.
Zusammengefasst zeigt der über die Membran von ouf Mutanten gemessene Strom eine Gemeinsamkeit: Alle zeigten keinen oder einen stark beeinträchtigten TPC1-vermittelten Kaliumausstrom aus der Vakuole ins Zytosol. Unter Berücksichtigung der beobachteten Abhängigkeit der vakuolären Membranspannung von der TPC1 Aktivität, scheint es, als ob die durch TPC1 angeregte Depolarisation der Vakuolenmembran, welche durch die vakuoläre Kaliumfreisetzung bedingt wird, in der Ausbildung des fou2 Phänotyps eine Rolle spielt. Daraus lässt sich ableiten, dass die TPC1-abhängige Depolarisation der Vakuolenmembran und die Jasmonat Bildung vermutlich verbunden sind. Diese Behauptung wird auch gestützt durch die komplette Wiederherstellung des WT-ähnlichen Pflanzenphänotyps und des Jasmonsäure Signalwegs in den ouf Mutanten. Letztendlich ist TPC1 als kontrollierendes Element der vakuolären Membranspannung wahrscheinlich dem Jasmonsäure Signalweg vorgeschaltet und deswegen ein perfekter Knotenpunkt, der verschiedene physiologische Stimuli und ihre Antworten verbindet.
The human body is colonized by trillions of microbes from all three domains of life – eukaryotes, bacteria and archaea. The lower gastrointestinal tract is the most densely colonized part of the body, harbouring a diverse and dynamic community of microbes. While the importance of bacteria in this so-called microbiota is well acknowledged, the role of commensal fungi remains underexplored. The most prominent fungus of the human gastrointestinal microbiota is Candida albicans. This fungus occasionally causes life-threatening disseminated infections in individuals with debilitated immune defences. It is this “pathogenic” facet that has received the most attention from researchers in the past, leaving many aspects of its “commensal” lifestyle understudied. Using gnotobiotic mice as a model system to explore the biology of C. albicans in the mammalian gut, in this dissertation I establish the global response of the host to C. albicans monocolonization as well as the spatial distribution of the fungus in the intestine in the context of co-colonization with single gut bacterial species. The fungus elicited transcriptome changes in murine intestinal tissue, which included the activation of a reactive oxygen species-related defence mechanism and the induction of regulators of the circadian clock circuitry. Both responses have previously been described in the context of a complete bacterial microbiota. Imaging the intestine of animals monocolonized with the fungus or co-colonized with C. albicans and the gut bacteria Bacteroides thetaiotaomicron or Lactobacillus reuteri revealed that the fungus was embedded in a B. thetaiotaomicron-promoted outer mucus layer in the murine colon. The gel-like outer mucus constitutes a unique microhabitat, distinct in microbial composition from the adjacent intestinal lumen. This finding indicates that bacteria can shape the specific microhabitat occupied by the fungus in the intestine. Overall, the results described in this dissertation suggest that gnotobiotic mice constitute a valuable tool to dissect multiple aspects of the interactions among host, commensal fungi and cohabiting bacteria.
ADMM-Type Methods for Optimization and Generalized Nash Equilibrium Problems in Hilbert Spaces
(2020)
This thesis is concerned with a certain class of algorithms for the solution of constrained optimization problems and generalized Nash equilibrium problems in Hilbert spaces. This class of algorithms is inspired by the alternating direction method of multipliers (ADMM) and eliminates the constraints using an augmented Lagrangian approach. The alternating direction method consists of splitting the augmented Lagrangian subproblem into smaller and more easily manageable parts.
Before the algorithms are discussed, a substantial amount of background material, including the theory of Banach and Hilbert spaces, fixed-point iterations as well as convex and monotone set-valued analysis, is presented. Thereafter, certain optimization problems and generalized Nash equilibrium problems are reformulated and analyzed using variational inequalities and set-valued mappings. The analysis of the algorithms developed in the course of this thesis is rooted in these reformulations as variational inequalities and set-valued mappings.
The first algorithms discussed and analyzed are one weakly and one strongly convergent ADMM-type algorithm for convex, linearly constrained optimization. By equipping the associated Hilbert space with the correct weighted scalar product, the analysis of these two methods is accomplished using the proximal point method and the Halpern method.
The rest of the thesis is concerned with the development and analysis of ADMM-type algorithms for generalized Nash equilibrium problems that jointly share a linear equality constraint. The first class of these algorithms is completely parallelizable and uses a forward-backward idea for the analysis, whereas the second class of algorithms can be interpreted as a direct extension of the classical ADMM-method to generalized Nash equilibrium problems.
At the end of this thesis, the numerical behavior of the discussed algorithms is demonstrated on a collection of examples.
Fluorinated compounds are an important motif, particularly in pharmaceuticals, as one-third of the top performing drugs have fluorine in their structures. Fluorinated biaryls also have numerous applications in areas such as material science, agriculture, crystal engineering, supramolecular chemistry, etc. Thus, the development of new synthetic routes to fluorinated chemical compounds is an important area of current research. One promising method is the borylation of suitable precursors to generate fluorinated aryl boronates as versatile building blocks for organic synthesis.
Chapter 1
In this chapter, the latest developments in the synthesis, stability issues, and applications of fluorinated aryl boronates in organic synthesis are reviewed. The catalytic synthesis of fluorinated aryl boronates using different methods, such as C–H, C–F, and C–X (X = Cl, Br, I, OTf) borylations are discussed. Further studies covering instability issues of the fluorinated boronate derivatives, which are accelerated by ortho-fluorine, have been reported, and the applications of these substrates, therefore, need special treatment.
Numerous groups have reported methods to employ highly fluorinated aryl boronates that anticipate the protodeboronation issue; thus, polyfluorinated aryl boronates, especially those containing ortho-fluorine substituents, can be converted into chloride, bromide, iodide, phenol, carboxylic acid, nitro, cyano, methyl esters, and aldehyde analogues. These substrates can be applied in many cross-coupling reactions, such as the Suzuki-Miyaura reaction with aryl halides, the Chan-Evans-Lam C–N reaction with aryl amines or nitrosoarenes, C–C(O) reactions with N-(aryl-carbonyloxy)phthalamides or thiol esters (Liebskind-Srogl cross-coupling), and oxidative coupling reactions with terminal alkynes. Furthermore, the difficult reductive elimination from the highly stable complex [PdL2(2,6-C6F2+nH3-n)2] was the next challenge to be targeted in the homocoupling of 2,6-di-fluoro aryl pinacol boronates, and it has been solved by conducting the reaction in arene solvents that reduce the energy barrier in this step as long as no coordinating solvent or ancillary ligand is employed.
Chapter 2
In this chapter, phenanthroline-ligated copper complexes proved to be efficient catalysts for the Suzuki-Miyaura cross-coupling of highly fluorinated aryl boronate esters (ArF–Bpin) with aryl iodides or bromides. This newly developed method is an attractive alternative to the traditional methods as copper is an Earth-abundant metal, less toxic, and cheaper compared to the traditional methods which commonly required palladium catalysts, and silver oxide that is also often required in stoichiometric amounts. A combination of 10 mol% copper iodide and 10 mol% phenanthroline, with CsF as a base, in DMF, at 130 ˚C, for 18 hours is efficient to cross-couple fluorinated aryl pinacol boronates with aryl iodides to generate cross-coupled products in good to excellent yields. This method is also viable for polyfluorophenyl borate salts such as pentafluorophenyl-BF3K. Notably, employing aryl bromides instead of aryl iodides for the coupling with fluorinated aryl–Bpin compounds is also possible; however, increased amounts of CuI/phenanthroline catalyst is necessary, in a mixture of DMF and toluene (1:1).
A diverse range of π···π stacking interactions is observed in the cross-coupling products partly perfluorinated biaryl crystals. They range from arene–perfluoroarene interactions (2-(perfluorophenyl)naphthalene and 2,3,4-trifluorobiphenyl) to arene–arene (9-perfluorophenyl)anthracene) and perfluoroarene–perfluoroarene (2,3,4,5,6-pentafluoro-2’methylbiphenyl) interactions.
Chapter 3
In this chapter, the efficient Pd-catalyzed homocoupling reaction of aryl pinacol pinacol boronates (ArF–Bpin) that contain two ortho-fluorines is presented. The reaction must be conducted in a “noncoordinating” solvent such as toluene, benzene, or m-xylene and, notably, stronger coordinating solvents or ancillary ligands have to be avoided. Thus, the Pd center becomes more electron deficient and the reductive elimination becomes more favorable. The Pd-catalyzed homocoupling reaction of di-ortho-fluorinated aryl boronate derivatives is difficult in strongly coordinating solvents or in the presence of strong ancillary ligands, as the reaction stops at the [PdL2(2,6-C6F2+nH3-n)2] stage after the transmetalations without the reductive elimination taking place. It is known that the rate of reductive elimination of Ar–Ar from [ML2(Ar)(Ar)] complexes containing group-10 metals decreases in the order Arrich–Arpoor > Arrich–Arrich > Arpoor–Arpoor. Furthermore, reductive elimination of the most electron-poor diaryls, such as C6F5–C6F5, from [PdL2(C6F5)2] complexes is difficult and has been a challenge for 50 years, due to their high stability as the Pd–Caryl bond is strong. Thus, the Pd-catalyzed homocoupling of perfluoro phenyl boronates is found to be rather difficult.
Further investigation showed that stoichiometric reactions of C6F5Bpin, 2,4,6-trifluorophenyl–Bpin, or 2,6-difluorophenyl–Bpin with palladium acetate in MeCN stops at the double transmetalation step, as demonstrated by the isolation of cis-[Pd(MeCN)2(C6F5)2], cis-[Pd(MeCN)2(2,4,6-C6F3H2)2], and cis-[Pd(MeCN)2(2,6-C6F2H3)2] in quantitative yields. Thus, it can be concluded that the reductive elimination from diaryl-palladium complexes containing two ortho-fluorines in both aryl rings, is difficult even in a weakly coordinating solvent such as MeCN. Therefore, even less coordinating solvents are needed to make the Pd center more electron deficient. Reactions using “noncoordinating” arene solvents such as toluene, benzene, or m-xylene were conducted and found to be effective for the catalytic homocoupling of 2,6-C6F2+nH3-nBpin. The scope of the reactions was expanded. Using toluene as the solvent, the palladium-catalyzed homocoupling of ArF–Bpin derivatives containing one, two or no ortho-fluorines gave the coupled products in excellent yields without any difficulties.
DFT calculations at the B3LYP-D3/def2-TZVP/6-311+g(2d,p)/IEFPCM // B3LYP-D3/SDD/6-31g**/IEFPCM level of theory predicted an exergonic process and lower barrier (< 21 kcal/mol) for the reductive elimination of Pd(C6F5)2 complexes bearing arene ligands, compared to stronger coordinating solvents (acetonitrile, THF, SMe2, and PMe3), which have high barriers ( > 33.7 kcal/mol). Reductive elimination from [Pd(ηn-Ar)(C6F5)2] complexes have low barriers due to: (i) ring slippage of the arene ligand as a hapticity change from η6 in the reactant to ηn (n ≤ 3) in the transition state and the product, which led to less σ-repulsion; and (ii) more favorable π-back-bonding from Pd(ArF)2 to the arene fragment in the transition state.
Chapter 4
In this chapter, the efficient Pd-catalyzed C–Cl borylation of aryl chlorides containing two ortho-fluorines is presented. The reactions are conducted under base-free conditions to prevent the decomposition of the di-ortho-fluorinated aryl boronates, which are unstable in the presence of base. A combination of Pd(dba)2 (dba = dibenzylideneacetone) with SPhos (2-dicyclohexylphosphino-2′,6′-dimethoxybiphenyl) as a ligand is efficient to catalyze the C–Cl borylation of aryl chlorides containing two ortho-fluorine substituents without base, and the products were isolated in excellent yields. The substrate scope can be expanded to aryl chloride containing one or no ortho-fluorines and the borylated products were isolated in good to very good yield. This method provides a nice alternative to traditional methodologies using lithium or Grignard reagents.
Nicotinamide N-methyltransferase (NNMT) is a new regulator of energy homeostasis. Its expression is increased in models of obesity and diabetes. An enhanced NNMT level is also caused by an adipose tissue-specific knockout of glucose transporter type 4 (GLUT4) in mice, whereas the overexpression of this glucose transporter reduced the NNMT expression. Furthermore, the knockdown of the enzyme prevents mice from diet-induced obesity (DIO) and the recently developed small molecule inhibitors for NNMT reverses the DIO. These previous findings demonstrated the exclusive role of NNMT in adipose tissue and further make it to a promising target in obesity treatment. However, the regulation mechanism of this methyltransferase is not yet clarified.
The first part of the thesis focus on the investigation whether pro-inflammatory signals are responsible for the enhanced NNMT expression in obese adipose tissue because a hallmark of this tissue is a low-level chronic inflammation. Indeed, the NNMT mRNA in our study was elevated in obese patients compared with the control group, whereas the GLUT4 mRNA expression does not differ between lean and obese humans. To analyze whether pro inflammatory signals, like interleukin (IL 6) and tumor necrosis factor α (TNF-α), regulate NNMT expression 3T3-L1 adipocytes were treated with these cytokines. However, IL 6, TNF α, and leptin, which is an alternative activator of the JAK/STAT pathway, did not affect the NNMT protein or mRNA level in differentiated 3T3-L1 adipocytes. The mRNA and protein levels were measured by quantitative polymerase chain reaction (qPCR) and western blotting.
In the second part of this study, 3T3-L1 adipocytes were cultivated with varying glucose concentrations to show whether NNMT expression depends on glucose availability. Further studies with activators and inhibitors of AMP-activated protein kinase (AMPK) and mechanistic target of rapamycin (mTOR) signaling pathways were used to elucidate the regulation mechanism of the enzyme.
The glucose deprivation of differentiated 3T3-L1 adipocytes led to a 2-fold increase in NNMT expression. This effect was confirmed by the inhibition of the glucose transports with phloretin as well as the inhibition of glycolysis with 2-deoxyglucose (2-DG). AMPK serves as an intracellular energy sensor and the pharmacological activation of it enhanced the NNMT expression. This increase was also caused by the inhibition of mTOR. Conversely, the activation of mTOR using MHY1485 prevented the effect of glucose deprivation on NNMT. Furthermore, the NNMT up-regulation was also blocked by the different autophagy inhibitors.
Taken together, NNMT plays a critical role in autophagy in adipocytes, because an inhibition of this process prevented the augmented NNMT expression during glucose starvation. Moreover, the effect on NNMT protein and mRNA level depends on AMPK and mTOR. However, pro-inflammatory signals did not affect the expression. Further in vivo studies have to clarify whether AMPK activation and mTOR inhibition as well as autophagy are responsible for the increased NNMT levels in obese adipose tissue. In future this methyltransferase emerges as an awesome therapeutic target for obesity.
Multiple myeloma (MM) is a disease of terminally differentiated B-cells which accumulate in the bone marrow leading to bone lesions, hematopoietic insufficiency and hypercalcemia. Genetically, MM is characterized by a great heterogeneity. A recent next-generation sequencing approach resulted in the identification of a signaling network with an accumulation of mutations in receptor-tyrosine kinases (RTKs), adhesion molecules and downstream effectors. A deep-sequencing amplicon approach of the coding DNA sequence of the six RTKs EPHA2, EGFR, ERBB3, IGF1R, NTRK1 and NTRK2 was conducted in a patient cohort (75 MM samples and 68 corresponding normal samples) of the “Deutsche Studiengruppe Multiples Myelom (DSMM)” to further elucidate the role of RTKs in MM. As an initial approach the detected mutations were correlated with cytogenetic abnormalities and clinical data in the course of this thesis. RTK mutations were present in 13% of MM patients of the DSMM XI trial and accumulated in the ligand-binding and tyrosine-kinase domain. The newly identified mutations were associated with an adverse patient survival, but not with any cytogenetic abnormality common in MM. Especially rare patient-specific SNPs (single nucleotide polymorphism) had a negative impact on patient survival. For a more comprehensive understanding of the role of rare RTK SNPs in MM, a second amplicon sequencing approach was performed in a patient cohort of the DSMM XII trial that included 75 tumor and 184 normal samples. This approach identified a total of 23 different mutations in the six RTKs EPHA2, EGFR, ERBB3, IGF1R, NTRK1 and NTRK2 affecting 24 patients. These mutations could furthermore be divided into 20 rare SNPs and 3 SNVs (single nucleotide variant). In contrast to the first study, the rare SNPs were significantly associated with the adverse prognostic factor del17p.
IGF1R was among the most commonly mutated RTKs in the first amplicon sequencing approach and is known to play an important role in diverse cellular processes such as cell proliferation and survival. To study the role of IGF1R mutations in the hard-to-transfect MM cells, stable IGF1R-knockdown MM cell lines were established. One of the knockdown cell lines (L363-C/C9) as well as a IGF1R-WT MM cell line (AMO1) were subsequently used for the stable overexpression of WT IGF1R and mutant IGF1R (N1129S, D1146N). Overall, an impact on the MAPK and PI3K/AKT signaling pathways was observed upon the IGF1R knockdown as well as upon WT and mutant IGF1R overexpression. The resulting signaling pattern, however, differed between different MM cell lines used in this thesis as well as in a parallel performed master thesis which further demonstrates the great heterogeneity described in MM.
Taken together, the conducted sequencing and functional studies illustrate the importance of RTKs and especially of IGF1R and its mutants in the pathogenesis of MM. Moreover, the results support the potential role of IGF1R as a therapeutic target for a subset of MM patients with mutated IGF1R and/or IGF1R overexpression.
Chapter two reports the catalytic triboration of terminal alkynes with B2pin2 using readily available Cu(OAc)2 and PnBu3. Various 1,1,2-triborylalkenes, a class of compounds which have been demonstrated to be potential Matrix Metalloproteinase-2 (MMP-2) inhibitors, are obtained directly in moderate to good yields. The process features mild reaction conditions, broad substrate scope, and good functional group tolerance were observed. This Cu-catalyzed reaction can be conducted on a gram scale to produce the corresponding 1,1,2-triborylalkenes in modest yields. The utility of these products is demonstrated by further transformation of the C-B bonds to prepare gem-dihaloborylalkenes (F, Cl, Br), monohalodiborylalkenes (Cl, Br), and trans-diaryldiborylalkenes, which serve as important synthons and have previously been challenging to prepare.
A convenient and efficient one step synthesis of 1,1,1-triborylalkanes was achieved via sequential dehydrogenative borylation and double hydroboration of terminal alkynes with HBpin (HBpin = pinacolborane) catalyzed by inexpensive and readily available Cu(OAc)2. This protocol proceeded under mild conditions, furnishing 1,1,1-tris(boronates) with wide substrate scope, excellent selectivity and good functional group tolerance, and is applicable to gram-scale synthesis without loss of yield. The 1,1,1-triborylalkanes can be used in the preparation of α-vinylboronates and borylated cyclic compounds, which are valuable but previously rare compounds. Different alkyl groups can be introduced stepwise via base-mediated deborylative alkylation to produce racemic tertiary alkyl boronates, which can be readily transformed into useful tertiary alcohols.
Chapter 4 reported a NaOtBu-catalyzed mixed 1,1-diboration of terminal alkynes with an unsymmetrical diboron reagent BpinBdan. This Brønsted base-catalyzed reaction proceeds in a regio- and stereoselective fashion affording 1,1-diborylalkenes with two different boryl moieties in moderate to high yields, and is applicable to gram-scale synthesis without loss of yield or selectivity. Hydrogen bonding between the Bdan group and tBuOH is proposed to be responsible for the observed stereoselectivity. The mixed 1,1-diborylalkenes can be utilized in stereoselective Suzuki-Miyaura cross-coupling reactions.
Divalent cations are important second messengers triggering various signal transduction events in platelets. Whereas calcium channel blockers have an established antithrombotic effect and the regulation of Ca2+ homeostasis has been elucidated in platelets, the molecular regulation of Mg2+ and Zn2+ homeostasis has not been investigated so far.
In the first part of the thesis, the role of -type serine-threonine kinase linked to transient receptor potential cation channel, subfamily M, member 7 (TRPM7) in platelets was investigated. Using Trpm7R/R mice with a point mutation deleting the kinase activity, we showed that the TRPM7 kinase regulates platelet activation via immunoreceptor tyrosine-based activation motif (ITAM), hem(ITAM) and protease-activated receptor (PAR) signaling routes. Furthermore, Trpm7R/R mice were protected from in vivo thrombosis and stroke, thus establishing TRPM7 kinase as a promising anti-thrombotic target.
In the second part of the thesis, the role of TRPM7 channel in a megakaryocyte (MK) and platelet-specific knockout mouse, Trpm7fl/fl-Pf4Cre, was investigated. Here, we observed that depending on the type of stimulation, Trpm7fl/fl-Pf4Cre platelets showed either enhanced or inhibited responses. Although Trpm7fl/fl-Pf4Cre mice were thrombocytopenic, no differences to wildtype mice were observed in models of in vivo thrombosis and stroke. The above two studies highlight that inhibition of TRPM7 kinase but not the channel itself (in MKs and platelets) may be a promising anti-thrombotic strategy.
Besides TRPM7, we investigated the role of magnesium transporter 1 (MAGT1) in platelet Mg2+ homeostasis and found that MAGT1 primarily regulates receptor-operated calcium entry (ROCE) in platelets specifically upon GPVI activation. This physiological crosstalk is triggered by protein kinase C (PKC) isoforms. Platelets from Magt1-/y mice hyper-reacted to GPVI and thromboxane A2 (TXA2) receptor stimulation in vitro. Consequently, Magt1-/y platelets were found to be pro-thrombotic in disease models of thrombosis and stroke.
To compare platelet ITAM-signaling to the immune system, we further investigated the role of MAGT1 in T and B cells. We described the primary role of MAGT1 in mice under pathogen-free conditions. Magt1-/y B cells showed dysregulated Mg2+ and Ca2+ homeostasis upon B-cell receptor activation, thereby altering Syk, LAT, phospholipase C (PLC)2 and PKC phosphorylation. In contrast to human MAGT1-deficient T cells, development and effector functions of mouse Magt1-/y T cells showed no alterations.
Finally, in the last part of the thesis, we described methods to measure intracellular free zinc [Zn2+]i in human and mouse platelets with storage pool disease (SPD). We propose to measure the [Zn2+]i status in SPD platelets as a relatively easy diagnostic to screen platelet granule abnormalities.
Chapter 1
N-Heterocyclic olefins (NHOs), relatives of N-heterocyclic carbenes (NHCs), exhibit high nucleophilicity and soft Lewis basic character. To investigate their π-electron donating ability, NHOs were attached to triarylborane π-acceptors (A) giving donor(D)-π-A compounds 1-3. In addition, an enamine π-donor analogue (4) was synthesized for comparison.
UV-visible absorption studies show a larger red shift for the NHO-containing boranes than for the enamine analogue, a relative of a CAAC. The red shifted absorption of NHO-containing boranes indicate smaller energy gaps of NHO-containing boranes than CAAC-containing boranes. Solvent-dependent emission studies indicate that 1-4 have moderate intramolecular charge transfer (ICT) behavior.
Electrochemical investigations reveal that the NHO-containing boranes have extremely low reversible oxidation potentials (e.g., for 3, E1/2ox = –0.40 V vs. Fc/Fc+ in THF) which indicate the electron rich property of NHOs.
Furthermore, TD-DFT calculations were carried out on these four D-π-A boranes. The results show that the LUMOs of 1-4 only show a small difference, but the HOMOs of 1-3 are much more destabilized than that of the enamine-containing 4, which is in agreement with the electrochemical investigations and confirms the stronger donating ability of NHOs.
Chapter 2
Since the beginning of this century, the chemistry of (hetero)arene-fused boroles has attracted increasing interest. (Hetero)arene-fused boroles exhibit strong Lewis acidity, distinct fluorescence properties, strong electron accepting abilities, etc. However, their chemistry been only very briefly reviewed either as part of reviews on “free” boroles or on boron-doped polycyclic aromatic hydrocarbons (PAHs). In this chapter, we addressed the chemistry of (hetero)arene-fused boroles from fundamentals to their widely varying applications. It includes:
1) Synthetic methodology Both historical and recently developed strategies for the synthesis of fused boroles.
2) Stabilities A comparison of different kinetic protection strategies.
3) 9-Borafluorenes with a fluorinated backbone Application as Lewis acids, forming ion pairs with Cp2Zr(CH3)2 and applied as activators for polymerization, activators of H2, and other related applications.
4) Donor-acceptor 9-borafluorenes Applications as F– “turn on” sensors, potential applications as electron accepting units for organic (opto)electronics, bipolar transporting materials, TADF materials, and different functionalization strategies.
5) Heteroarene-fused boroles Enhanced antiaromaticity, unique coordination mode and their interesting properties.
6) Intramolecular dative bonding in 9-borafluorenes Bond-cleavage-induced intramolecular charge transfer (BICT), BICT-induced large Stoke shifts and dual emissions, application as a ratiometric sensor.
7) 9-Borafluorene-based main chain polymers Application in polymer chemistry and their distinct properties, e.g., as a sensor for gaseous NH3.
8) Electrochemistry A comparison of electron-accepting ability of different functionalized fused boroles through electrochemical studies.
9) Chemical reduction of fused boroles Stable radical anions and dianions of fused boroles and their properties.
10) Three-coordinate borafluorenium cations Cationic 9-borafluorenes and their interesting properties, e.g., in THF, reversible thermal colour switching properties.
Finally, a conclusion and outlook regarding the chemistry, properties and applications, and suggestions for areas which require further study was provided.
Chapter 3
Interested in fusing electron-poor arene onto boroles, two electron-poor phenylpyridyl-fused boroles, [TipPBB1]4 and TipPBB2 were prepared. [TipPBB1]4 is a white solid adopting a unique coordination mode, which forming a tetramer with a cavity in both the solid state and solution (1H DOSY). The boron center of TipPBB2 is 4-coordinate in the solid state, evidenced by a solid-state 11B{1H} RSHE/MAS NMR study, but the system dissociates in solution, leading to 3-coordinate borole species.
[TipPBB1]4 exhibits two reduction processes which are attributed to the phenylpyridyl cores. TipPBB2 also exhibits two reduction processes with the first half-reduction potential of E1/2red = –1.94 V. The electron accepting ability of TipPBB2 is largely enhanced and comparable to that of FMesBf. This enhanced electron accepting ability is attributed to the electron withdrawing property of the pyridyl group.
TipPBB2 exhibits concentration- and temperature-dependent dual fluorescence in solution. With the temperature is lowered, the emission intensity decreases (Figure 6.4, left). We suggested that the dual fluorescence is caused by an equilibrium between 3-coordinate TipPBB2 and a weak intermolecular adduct of TipPBB2 via a B–N bond. This hypothesis was further supported by lifetime measurements at different concentrations, low temperature excitation spectra low temperature 1H NMR spectra and lifetime measurements upon addition of DMAP to a solution of TipPBB2 to simulate the 4-coordiante TipPBB2 species. Interestingly, the ratio of the relative percentages of the two lifetimes shows a linear relationship with temperature; thus, TipPBB2 could serve as a fluorescent thermometer.
Furthermore, theoretical studies were carried out on TipPBB2, and two models, ((BMe3)TipPBB1(NMe3) and (BMe3)TipPBB2(NMe3)), which utilize a BMe3 group as the Lewis acid coordinated to pyridine and an NMe3 group as the Lewis base coordinated to the boron center of the borole, were used to simulate the [TipPBB1]4 and intermolecular 4-coordinate TipPBB2, respectively. Theoretical studies indicate that the HOMO of TipPBB2 is located at the Tip group, which is in contrast to its borafluorene derivatives for which the HOMOs are located on the borafluorene cores.
Chapter 4
Two derivatives of phenylpyridyl-fused boroles were prepared via functionalization of the pyridyl groups in two different directions, namely an electron-rich dihydropyridine moiety (compound 10) and an electron-deficient N-methylpyridinium cation (compound 11). Both compounds were fully characterized. The 11B NMR signal of compound 10 was observed at 58.8 ppm in CDCl3, which suggests strong conjugation between the boron atom and dihydropyridine moiety. Compound 11 shows a reversible coordination to THF which was confirmed by NMR studies. Compared to other 2,4,6-triisopropylphenyl protected 9-borafluorenes which only coordinate to CH3CN or DMF, the coordination of the weaker and bulkier THF to compound 11 indicates an extremely electron-deficient boron center in compound 11.
The electron-rich property of the dihydropyridine moiety of compound 10 was confirmed by its oxidation potential (Epc = +0.37 V). Due to the strong conjugation of the dihydropyridine moiety with the boron atom, the reduction potential of compound 10 shifts cathodically and is more negative than –2.5 V. Compound 11 exhibits three reduction processes with the first reversible reduction potential at Ered1/2 = –1.23 V, which is significantly anodically shifted compared to that of its precursor (TipPBB2) or its framework 1-methyl-2-phenylpyridin-1-ium triflate (12). This significantly anodically shifted reduction potential confirms an extremely electron-deficient property of compound 11.
Photophysical studies indicate that the lowest energy transition of compound 10 is more likely a locally-excited (LE) transition and compound 11 exhibits a polarized ground state.
Furthermore, we performed theoretical studies for both compounds. The electron cloud distribution of the HOMO of compound 10 supports the strong conjugation between the boron atom and the dihydropyridine moiety in the ground state. An extremely low LUMO energy was determined by theoretical studies which confirmed the extremely electron-deficient property of compound 11.
Chapter 5
Inspired by the enhancement of electron accepting ability with increasing numbers of electron withdrawing groups at boron, we tried to study the properties of a bis(pyridyl)arylboranes. In our attempt to synthesize a bis(pyridyl)arylborane, we obtained a bis(2-pyridyl)methoxyborate Li+ complex which is as a dimer both in solution and the solid state.
In the solid state, compound [16]2 is a dimer containing two bis(2-pyridyl)methoxyborate which are linked by two lithium cations. Each lithium cation coordinates to one methoxy group and two pyridyl groups, one from each of the two bis(2-pyridyl)methoxyborate anions. The parameters of [16]2 were compared with other bis(2-pyridyl)methoxyborate stabilized Pt(IV) complex, bis(2-pyridyl)hydroxylborate stabilized Ru(II) complex and the dimer of EtAl(OMe)(2-pyridyl)2Li.
To confirm the coordination mode in solution, 1H DOSY spectroscopy was carried out in CD2Cl2. The van der Waals radius obtained by 1H DOSY nicely matches with the result from the solid state and thus proves the dimer of 16 is persistent in solution.
Finally, different Lewis acids (e.g., TMSCl, BF3•Et2O, AlCl3, HCl) were used to attempt to detach the methoxy group of [16]2. However, we observed either decomposition or selective cleavage of the Tip group, or no reaction at all, rather than cleavage of the methoxy group from boron.
Maintenance of tumor vasculature integrity is indispensable for tumor growth and thus affects tumor progression. Previous studies have identified platelets as major regulators of tumor vascular integrity, as their depletion selectively renders tumor vessels highly permeable, causing massive intratumoral hemorrhage. While these results establish platelets as potential targets for anti-tumor therapy, depletion is not a treatment option due to the essential role of platelets for hemostasis. This thesis demonstrates for the first time that functional inhibition of glycoprotein (GP) VI on the platelet surface rapidly induces tumor hemorrhage and diminishes tumor growth similar to complete platelet depletion but without inducing systemic bleeding complications. Both, the intratumoral bleeding and tumor growth arrest could be reverted by depletion of Ly6G+ cells confirming them to be responsible for the induction of bleeding and necrosis within the tumor. In addition, GPVI inhibition increased intra-tumoral accumulation of co-administered chemotherapeutic agents, thereby resulting in a profound anti-tumor effect. In summary, this thesis manifests platelet GPVI as a key regulator of vascular integrity specifically in growing tumors, serving as a potential basis for the development of anti-tumor strategies.
In the second part of this thesis, light is shed on the modulating role of bridging integrator 2 (BIN2) in platelet Ca2+ signaling. Stromal interaction molecule 1 (STIM1) mediated store-operated calcium entry (SOCE) is the major route of Ca2+ influx in platelets, triggered by inositol trisphosphate receptor (IP3R)-dependent Ca2+ store release. In this thesis, the BAR domain superfamily member BIN2 was identified as the first Ca2+ signaling modulator, interacting with both, STIM1 and IP3R in platelets. Deletion of BIN2 resulted in reduced Ca2+ store release and Ca2+ influx in response to all tested platelet agonists. These defects were a consequence of impaired IP3R function in combination with defective STIM1-mediated SOC channel activation, while Ca2+ store content and agonist-induced IP3 production were unaltered. These results establish BIN2 as a central regulator of platelet Ca2+ signaling.
The third part of this thesis focuses on the effect of the soluble neuronal guidance protein Sema7A on platelet function. Rosenberger et al. discovered that Sema7A cleavage from red blood cells increases the formation of platelet-neutrophil complexes, thereby reinforcing thrombo-inflammation in myocardial ischemia-reperfusion injury (MIRI). This thesis establishes soluble Sema7A as a stimulator of platelet thrombus formation via its interaction with platelet GPIbα, thereby reinforcing PNC formation. Thus, interfering with the GPIb-Sema7A interaction during MIRI represents a potential strategy to reduce cardiac damage and improve clinical outcome following MI.
Affordable prices for 3D laser range finders and mature software solutions for registering multiple point clouds in a common coordinate system paved the way for new areas of application for 3D point clouds. Nowadays we see 3D laser scanners being used not only by digital surveying experts but also by law enforcement officials, construction workers or archaeologists. Whether the purpose is digitizing factory production lines, preserving historic sites as digital heritage or recording environments for gaming or virtual reality applications -- it is hard to imagine a scenario in which the final point cloud must also contain the points of "moving" objects like factory workers, pedestrians, cars or flocks of birds. For most post-processing tasks, moving objects are undesirable not least because moving objects will appear in scans multiple times or are distorted due to their motion relative to the scanner rotation.
The main contributions of this work are two postprocessing steps for already registered 3D point clouds. The first method is a new change detection approach based on a voxel grid which allows partitioning the input points into static and dynamic points using explicit change detection and subsequently remove the latter for a "cleaned" point cloud. The second method uses this cleaned point cloud as input for detecting collisions between points of the environment point cloud and a point cloud of a model that is moved through the scene.
Our approach on explicit change detection is compared to the state of the art using multiple datasets including the popular KITTI dataset. We show how our solution achieves similar or better F1-scores than an existing solution while at the same time being faster.
To detect collisions we do not produce a mesh but approximate the raw point cloud data by spheres or cylindrical volumes. We show how our data structures allow efficient nearest neighbor queries that make our CPU-only approach comparable to a massively-parallel algorithm running on a GPU. The utilized algorithms and data structures are discussed in detail. All our software is freely available for download under the terms of the GNU General Public license. Most of the datasets used in this thesis are freely available as well. We provide shell scripts that allow one to directly reproduce the quantitative results shown in this thesis for easy verification of our findings.
This thesis reports on the applications of a particular N-heterocyclic silylene, Dipp2NHSi (1), as an ambiphilic reagent in main group chemistry and as a ligand in transition metal chemistry. One focus of the work lies in the evaluation of the differences in the reactivity of N-heterocyclic silylenes in main group element and transition metal chemistry in comparison with the in these areas nowadays ubiquitous N-heterocyclic carbenes. The first chapter gives an insight into the reactivity of Dipp2NHSi with respect to different types of main group element compounds. Silylene 1 was reacted with group 13 compounds. Adduct formation was observed with AlI3, Al(C6F5)3 and B(C6F5)3 which led to isolation of Dipp2NHSi·AlI3 (2), Dipp2NHSi·Al(C6F5)3 (3) and Dipp2NHSi·B(C6F5)3 (4). Furthermore, the reactivity of Dipp2NHSi (1) with respect to different elementhalide bonds was investigated. The reaction with elemental bromine and iodine leads to the dihalosilanes Dipp2NHSiBr2 (5) and Dipp2NHSiI2 (6). Utilizing methyl iodide, benzyl chloride and benzyl bromide, the insertion products Dipp2NHSi(I)(Me) (10), Dipp2NHSi(Cl)(benzyl) (11) and Dipp2NHSi(Br)(benzyl) (12) are obtained. Thus, insertion is preferred to reductive coupling with formation of RH2C–CH2R (R = H, Ph) and the corresponding dihalosilane. The reaction of 1 with Me3SnCl leads to the diazabutene {(Me3Sn)N(Dipp)CH}2 (9). The reaction of 1 with Ph2SnCl2 gives exclusively Dipp2NHSiCl2 (8) and cyclic polystannanes (Ph2Sn)n. The reactivity of 1 towards selected 1,3-dipolar compounds was also examined and Dipp2NHSi was reacted with azides of different size. The reaction with adamantyl azide led to the formation of the tetrazoline 13. For the reaction with the sterically less demanding trimethylsilyl azide the azido silane Dipp2NHSi(N(SiMe3)2)(N3) (14) and the degradation product 14* was isolated. The cyclosilamine 15 was formed from the reaction of 1 with 2,6-(diphenyl)phenyl azide. The bonding situation and ligation properties of Dipp2NHSi in transition metal complexes was assessed in the second part of the thesis by means of theoretical calculations and experimental investigations. Calculations on the main electronic features of Me2Im/Me2NHSi and Dipp2NHSi/Dipp2Im revealed significant differences in the frontier orbital region of these compounds, which affect the ligation properties of NHSis in general. It was demonstrated that NHSis show significantly different behaviour concerning their coordination chemistry. In particular, one energetically low lying π-acceptor orbital seems to determine the coordination chemistry of these ligands. To provide experimental support for these calculations, the silylene complexes [M(CO)5(Dipp2NHSi)] (M = Cr 16, Mo 17, W 18) were synthesized from Dipp2NHSi and [M(CO)6] (M = Cr, Mo, W) and the tungsten NHSi complex 18 was compared to the NHC complexes [W(CO)5(iPr2Im)] (19), [W(CO)5(iPr2ImMe)] (20) and [W(CO)5(Me2ImMe)] (21). The bonding of Me2Im and Me2NHSi (= L) to transition metal complexes has been assessed with DFT calculations for the model systems [Ni(L)], [Ni(CO)3(L)], and [W(CO)5(L)]. These studies revealed some common features in the difference between M–NHSi and M–NHC bonding which largely affect the bonding situation in transition metal complexes. NHSis show a propensity for bridging two metal atoms which was demonstrated on three different examples. Dipp2NHSi reacts with [Ni(CO)4] to form the dinuclear silylene-bridged complex [{Ni(CO)2(μ-Dipp2NHSi)}2] (22) upon CO elimination. The reduction of [Ni(η5-C5H5)2] with lithium naphthalenide in the presence of Dipp2NHSi yielded the NHSi-bridged Ni(I) dimer [{(η5 C5H5)Ni(µ-Dipp2NHSi)}2] (23). The dimeric half-sandwich complex [{(η5-C5H5)Fe(CO)2}2] led upon reaction with Dipp2NHSi to the formation of the dinuclear, NHSi-bridged complex [{(η5-C5H5)Fe(CO)}2(µ-CO)(µ-Dipp2NHSi)] (24). The insertion of Dipp2NHSi into metal halide bonds was investigated in a series of manganese complexes [Mn(CO)5(X)] (X = Cl, Br, I). The reaction of Dipp2NHSi with [Mn(CO)5(I)] led to substitution of two carbonyl ligands with Dipp2NHSi (1) to afford the tricarbonyl complex [Mn(CO)3(Dipp2NHSi)2(I)] (25). In 25, the iodide ligand is aligned in the {Mn(CO)3} plane, located between both NHSi silicon atoms. Treatment of [Mn(CO)5(Br)] with two equivalents of Dipp2NHSi afforded the complex [Mn(CO)3(Dipp2NHSi)2(Br)] (26), in which the bromide ligand is distorted towards one of the NHSi ligands. The reaction of the silylene ligand with [Mn(CO)5(Cl)] at room temperature afforded a mixture of two products, [Mn(CO)3(Dipp2NHSi)2(Cl)] (27*) and the insertion product [Mn(CO)4(Dipp2NHSi)(Dipp2NHSi-Cl)] (27). Complete transfer of a halide to the silylene was achieved for the reaction of Dipp2NHSi with [(η5-C5H5)Ni(PPh3)(Cl)] to yield [Ni(PPh3)(η5-C5H5)(Dipp2NHSi-Cl)] (28). Similarly, the reaction with [(η5-C5H5)Fe(CO)2(I)] led to the formation of [(η5 C5H5)Fe(CO)2(Dipp2NHSi-I)] (29).
The contribution of this dissertation is to empirically analyze the link between income distribution, sectoral financial balances, and the current account. Firstly, it examines the relationship between the personal and the functional income distribution which may have rather different implications for aggregate demand and the current account. Secondly, it analyzes the importance of different sectors of the economy for current account balances and tests whether households are able to fully pierce the institutional veils of the corporate and the government sector. Thirdly, it investigates how changes in the personal and the functional income distribution affect the saving and investment decisions of the household and the corporate sector, and hence the current account. Finally, it shows how different growth regimes are linked to different patterns of personal and functional income distribution, and how differences in wage bargaining institutions contribute to explaining these different patterns of income distribution.
Knowing then defeating: The Ubiquitin activating enzyme, a promising target for cancer therapy
(2020)
Ubiquitin is a 76 amino acid long polypeptide, which is present throughout eukaryotes in a highly conserved fashion. Ubiquitin can modify proteins by becoming covalently attached to them. Eukaryotic cells employ ubiquitin to maintain and regulate fundamental cellular processes like protein degradation, the immune response and transcriptional and translational regulation. Transfer of ubiquitin to the substrate is achieved by the catalysis of three classes of enzymes namely E1, E2 and E3. Together these enzymes form a pyramidal hierarchy, where E1 stands at the apex and E3 enzymes form the base of the pathway.
The ubiquitin activating enzyme 1 (UBA1) plays a major role in ubiquitylation being the ubiquitin-dedicated E1 enzyme. In addition, it is the only enzyme in this pathway to use ATP as an energy source to catalyze two important reactions. The products of these reactions, ubiquitin adenylate and ubiquitin thioester, are the essential intermediate states of ubiquitin, for being conjugated to the target protein. With the help of X-ray crystallography and biochemical approaches, snapshots of multiple catalytic states of UBA1, where it is bound to Mg-ATP, ubiquitin and the E2 Ubc13 as substrates could be captured. With the help of these high-resolution crystal structures, deeper insights into the enzymatic mechanism of UBA1 could be attained. The resulting insights into the catalytic cycle were further validated by biochemical assays. It could be shown that ATP acts as a molecular switch to induce the enzyme’s open conformation. Ubiquitin-binding to the enzyme leads to domain rotations, which facilitate the recruitment of a cognate E2 enzyme. The interdomain communication as well as the cross-talk with the substrates and the products fuel the enzymatic cycle of UBA1.
Due to the proven efficacy of proteasome inhibitors for cancer treatment, which block degradation of proteins labeled with ubiquitin, enzymes participating in the ubiquitylation cascade have been targeted by researchers for the development of novel anti-cancer therapeutics. UBA1 inhibition has been shown to preferentially induce cell death in malignant cells, and it can also be used as a strategy to overcome resistance against proteasome inhibitors. MLN7243, an adenosyl sulfamate inhibitor developed by Millenium Pharmaceutical to specifically target UBA1, is currently in Phase-I clinical trials for the treatment of solid tumors. UBA1 could be crystallized in complex with three adenosyl sulfamate inhibitors covalently linked to ubiquitin, which are promising drug candidates for cancer therapy. The inhibitors employed, MLN7243, MLN4924 and ABPA3, show distinct specificities towards different E1 enzymes. With the help of crystal structures the specificity determinants of these inhibitors could be deciphered, which were further confirmed by inhibition assays as well as molecular dynamics simulations. Together these crystal structures provide a starting point for developing E1-specific inhibitors, which, besides their potential for medicinal purposes, are important tools to better understand the function of the ubiquitin system as well as the action of ubiquitin-like proteins.
The CXC chemokine receptor 4 (CXCR4) and the atypical chemokine receptor 3 (ACKR3) are seven transmembrane receptors that are involved in numerous pathologies, including several types of cancers. Both receptors bind the same chemokine, CXCL12, leading to significantly different outcomes. While CXCR4 activation generally leads to canonical GPCR signaling, involving Gi proteins and β‐arrestins, ACKR3, which is predominantly found in intracellular vesicles, has been shown to signal via β‐arrestin‐dependent signaling pathways. Understanding the dynamics and kinetics of their activation in response to their ligands is of importance to understand how signaling proceeds via these two receptors.
In this thesis, different Förster resonance energy transfer (FRET)‐based approaches have been combined to individually investigate the early events of their signaling cascades. In order to investigate receptor activation, intramolecular FRET sensors for CXCR4 and ACKR3 were developed by using the pair of fluorophores cyan fluorescence protein and fluorescence arsenical hairpin binder. The sensors, which exhibited similar functional properties to their wild‐type counterparts, allowed to monitor their ligand-induced conformational changes and represent the first RET‐based receptor sensors in the field of chemokine receptors. Additional FRET‐based settings were also established to investigate the coupling of receptors with G proteins, rearrangements within dimers, as well as G protein activation. On one hand, CXCR4 showed a complex activation mechanism in response to CXCL12 that involved rearrangements in the transmembrane domain of the receptor followed by rearrangements between the receptor and the G protein as well as rearrangements between CXCR4 protomers, suggesting a role of homodimers in the activation course of this receptor. This was followed by a prolonged activation of Gi proteins, but not Gq activation, via the axis CXCL12/CXCR4. In contrast, the structural rearrangements at each step of the signaling cascade in response to macrophage migration inhibitory factor (MIF) were dynamically and kinetically different and no Gi protein activation via this axis was detected. These findings suggest distinct mechanisms of action of CXCL12 and MIF on CXCR4 and provide evidence for a new type of sequential signaling events of a GPCR. Importantly, evidence in this work revealed that CXCR4 exhibits some degree of constitutive activity, a potentially important feature for drug development. On the other hand, by cotransfecting the ACKR3 sensor with K44A dynamin, it was possible to increase its presence in the plasma membrane and measure the ligand‐induced activation of this receptor. Different kinetics of ACKR3 activation were observed in response to CXCL12 and three other agonists by means of using the receptor sensor developed in this thesis, showing that it is a valuable tool to study the activation of this atypical receptor and pharmacologically characterize ligands. No CXCL12‐induced G protein activation via ACKR3 was observed even when the receptor was re-localized to the plasma membrane by means of using the mutant dynamin. Altogether, this thesis work provides the temporal resolution of signaling patterns of two chemokine receptors for the first time as well as valuable tools that can be applied to characterize their activation in response to pharmacologically relevant ligands.
Potential evolutionary responses to landscape heterogeneity and systematic environmental trends
(2020)
Over the course of the last century, humans have witnessed drastic levels of global environmental change that endangered both, the survival of single species as well as biodiversity itself. This includes climate change, in both environmental means and in variance and subsequently frequent extreme weather events, as well as land use change that species have to cope with.
With increasing urbanization, increasing agricultural area and increasing intensification, natural habitat is not only lost, but also changes its shape and distribution in the landscape. Both aspects can heavily influence an individual's fitness and therefore act as a selective force promoting evolutionary change.
This way climate change influences individuals' niches and dispersal. Local adaptation and dispersal are not independent of each other. Dispersal can have two opposite effects on local adaptation. It can oppose local adaptation, by promoting the immigration of maladapted indi-
viduals or favor local adaptation by introducing better adapted genotypes. Which of those effects of dispersal on local adaptation emerges in a population depends on the dispersal strategies and the spatial structure of the landscape. In principle an adaptive response can include adjustment of the niche optimum as well as habitat tolerance (niche width) or (instead) ecological tracking of adequate conditions by dispersal and range shifting. So
far, there has been no extensive modeling study of the evolution of the environmental niche optimum and tolerance along with dispersal probability in complex landscapes. Either only dispersal or (part of ) the environmental niche can evolve or the landscapes used are not realistic but rather a very abstract representation of spatial structures.
I want to try and disentangle those different effects of both local adaptation and dispersal during global change, as well as their interaction, especially considering the separation between the effects of increasing mean and increasing variance. For this, I implemented an individual based model (IBM), with escalating complexity.
I showed that both on a temporal as well as on a spatial scale, variation can be more influential then mean conditions.
Indeed, the actual spatial configuration of this heterogeneity and the relationship between spatial and temporal heterogeneity affect the evolution of the niche and of dispersal probability more than temporal or spatial mean conditions. I could show that in isolated populations, an increase of an environmental attribute's mean or variance can lead to extinction, under certain conditions. In particular, increasing variance cannot be tracked forever, since increasing tolerance has distinct limits of feasibility. Increasing mean conditions can also occur too fast to be tracked, especially from generalist individuals. When expanding the model to the metapopulation level without a temporal environmental trend, the degree of spatial vs.temporal heterogeneity influenced the evolution of random dispersal heavily. With increasing spatial heterogeneity, individuals from extreme and rare patches
evolve from being philopatric to dispersive, while individuals from average patches switch in the opposite direction.
With the last expansion to a different set of landscapes with varying degrees of edge density, I could show that edge effects are strong in pseudo-agricultural landscapes, while
in pseudo-natural habitats they were hardly found, regardless of emigration strategy. Sharp edges select against dispersal in the edge patches and could potentially further isolate populations in agricultural landscapes.
The work I present here can also be expanded further and I present several suggestions on what to do next. These expansions could help the realism of the model and eventually shed light on its bearing on ecological global change predictions. For example species distribution models or extinction risk models would be more precise, if they included both spatial and temporal variation. The current modeling practices might not be suffcient to
describe the possible outcomes of global change, because spatio-temporal heterogeneity and its influence on species' niches is too important to be ignored for longer.
Parkinson’s disease (PD) is among the most common neurodegenerative conditions, and it is characterized by the progressive loss of dopaminergic neurons and a great variability in clinical expression. Despite several effective medications, it still causes disability as all patients show treatment-resistant symptoms and complications.
A possible reason for this therapeutic-burden and great clinical variability lies in a probable misconception about its pathophysiology, one that focuses on neurodegeneration, while largely neglecting its functional consequences and the related compensatory changes. In this thesis, I expand on the hypothesis that some PD symptoms have a dysfunctional origin and reflect derangements of neural network dynamics, the means by which brain coordination supports any motor behaviour. In particular, I have investigated resting tremor and freezing of gait, two common symptoms with an enigmatic mechanism and suboptimal management.
In the case of tremor, I predicted a pathological change in response to dopamine loss, which included the activation of noradrenergic (NA) neurons of the locus coeruleus (LC) projecting to the cerebellum. This compensatory LC activation that supports dopaminergic neurons might indeed come at the expense of tremor development. To assess the role of LC-NA in tremor development, I recorded tremor occurrence in the reserpinized rat model of PD, one of very few showing tremor, after selective lesioning (with the neurotoxin DSP-4) of the LC-NA terminal axons. DSP-4 induced a severe reduction of LC-NA terminal axons in the cerebellar cortex and this was associated with a significant reduction in tremor development. Unlike its development, tremor frequency and the akinetic rigid signs did not differ between the groups, thus suggesting a dopaminergic dependency. These findings suggest that the LC-NA innervation of the cerebellum has a critical role for PD tremor, possibly by exerting a network effect, which gates the cerebello-thalamic-cortical circuit into pathological oscillations upon a dopaminergic loss in the basal ganglia.
In contrast, for the study of freezing of gait, I worked with human PD subjects and deep brain stimulation, a therapeutic neuromodulation device that in some prototypes also allows the recording of neural activity in freely-moving subjects. Gait freezing is a disabling PD symptom that suddenly impairs effective stepping, thus causing falls and disability. Also in this study, I hypothesized that the underlying pathophysiology may be represented by dysfunctional neural network dynamics that abruptly impair locomotor control by affecting the communication in the supraspinal locomotor network. To test this hypothesis, I investigated the coupling between the cortex and the subthalamic nucleus, two main nodes of the supraspinal locomotor network, in freely-moving subjects PD patients and also performed molecular brain imaging of striatal dopamine receptor density and kinematic measurements. I found that in PD patients, walking is associated with cortical-subthalamic stable coupling in a low-frequency band (i.e. θ-α rhythms). In contrast, these structures decoupled when gait freezing occurred in the brain hemisphere with less dopaminergic innervation. These findings suggest that freezing of gait is a “circuitopathy”, with dysfunctional cortical-subcortical communication.
Altogether the results of my experiments support the hypothesis that the pathophysiology of PD goes beyond neurodegenerative (loss-of-function) processes and that derangement of neural network dynamics coincides with some disabling PD symptoms, thus suggesting that PD can be interpreted as the combination of multiple circuitopathies.
Nowadays, employees have to work with applications, technical services, and systems every day for hours. Hence, performance degradation of such systems might be perceived negatively by the employees, increase frustration, and might also have a negative effect on their productivity. The assessment of the application's performance in order to provide a smooth operation of the application is part of the application management. Within this process it is not sufficient to assess the system performance solely on technical performance parameters, e.g., response or loading times. These values have to be set into relation to the perceived performance quality on the user's side - the quality of experience (QoE).
This dissertation focuses on the monitoring and estimation of the QoE of enterprise applications. As building models to estimate the QoE requires quality ratings from the users as ground truth, one part of this work addresses methods to collect such ratings. Besides the evaluation of approaches to improve the quality of results of tasks and studies completed on crowdsourcing platforms, a general concept for monitoring and estimating QoE in enterprise environments is presented. Here, relevant design dimension of subjective studies are identified and their impact of the QoE is evaluated and discussed. By considering the findings, a methodology for collecting quality ratings from employees during their regular work is developed. The method is realized by implementing a tool to conduct short surveys and deployed in a cooperating company.
As a foundation for learning QoE estimation models, this work investigates the relationship between user-provided ratings and technical performance parameters. This analysis is based on a data set collected in a user study in a cooperating company during a time span of 1.5 years. Finally, two QoE estimation models are introduced and their performance is evaluated.
Despite the advancement in the treatment from genotoxic drugs to more targeted therapies, multiple myeloma (MM) remains incurable. MM is known for its complex genetic heterogeneity as different genetic lesion accrue over the course of the disease. The current work focuses on the functional analysis of genetic lesions found at the time of diagnosis and relapse and their potential role regarding therapy response and refractory disease. Genetic lesions involving tumor suppressor gene TP53, are found at diagnosis and tend to accrue during disease progression. Different types of mono- and biallelic TP53 alterations were emulated in the AMO1 cell line model, were functionally characterized and tested for their potential role in therapy response. Both types of single hit TP53 alteration (deletion 17p and TP53 point mutations) were found to have similar adverse effects on the functionality of the p53 system and response to genotoxic drugs which were completely abolished in the case of double hit TP53 alterations (no p53 expression, or mutant overexpression in wild type TP53 deletion background). Whereas, sensitivity to proteasome inhibitors remained unaltered. Using the clonal competition assay (CCA), single TP53 hit clones were found to have a fitness advantage over wildtype cells. Proliferative cell fitness was further enhanced in double hit TP53 clones, as they dominated wildtype and single hit TP53 clones in the CCA. Presence of external selection pressure in the form of low dose melphalan expedited the intrinsic fitness advantage. Alterations found in CUL4B, a component of CRL4-CRBN protein complex, a target of immunomodulatory drugs (IMiDs), were also functionally analyzed in the current study. Hotspot mutations and mutations found in IMiDs refractory patients were modelized in L363 cells and their role in IMiDs sensitivity was studied. CUL4B mutations were found not to be involved in providing lenalidomide resistance to the cell, whereas knocking CUL4B out was observed to provide negative fitness to the cells in CCA. In the presence of external selection pressure, these clones showed fitness, which was lost in the case of lenalidomide withdrawal. This shows that some alterations may play a role in refractory patients only in the presence of therapy, and as soon as therapy is discontinued, these altered clones may disappear such as clones with alterations in CUL4B. On the other hand, some alterations provide drug-independent intrinsic positive fitness, however, be further enhanced by drug exposure, such as seen in case of TP53 altered clones. Therefore, close monitoring and functional analysis of evolving clones is desired during disease progression, as it can be helpful in therapeutic guidance to achieve a better outcome for patients.
Background: Integrase strand transfer inhibitors (INSTIs) are the latest addition to the array of antiretroviral compounds used to treat an infection with Human Immunodeficiency Virus (HIV). Due to their high efficacy and increased tolerability, INSTIs have become an integral part of first-line therapy in most high-income countries over the past years. However, little is known about HIV-1’s genetic inter- and intra-subtype diversity on the Integrase (IN)-gene and its impact on the emergence of INSTI-resistance. In the absence of a functional cure, long-term efficacy of first-line compounds remains paramount for reducing virological failure and curbing on-going HIV transmissions. South Africa, harbouring more than 20% of the global HIV burden (7.7 / 37.9 million people), requires international attention in order to globally pursue UNAIDS’ (Joint United Nations Programme on HIV/AIDS) 90-90-90 goals and the road to ending the HIV/AIDS (Acquired immunodeficiency syndrome) pandemic by 2030.
Methods: In this study, the prevalence of INSTI-resistance associated mutations (RAM) was investigated in a cohort of 169 archived drug-naïve blood samples from multiple collection sites around Cape Town, South Africa. Viral RNA was isolated from plasma samples, the integrase fragment amplified by RT-PCR and subsequently sequenced by Sanger-sequencing. Additionally, all publicly available drug-naïve, South African IN sequences, isolated before the availability of the first INSTIs in 2007, were retrieved from the Los Alamos HIV sequence database (n=284). All sequences were analysed for RAMs using the Stanford HIV Drug resistance database. The identification of polymorphism in the South African subtype C IN consensus sequence allowed for comparative analyses with global subtype B, as well as subtype C sequences, from countries other than South Africa.
Results: The IN gene could be amplified and sequenced in 95/169 samples (56%). Phylogenetic inference revealed close homology between three sequence-pairs, warranting the exclusion of 3/95 sequences from further analyses. Of the 92 samples used for mutational analyses, 86/92 (93.5%) belonged to subtype C, 5/92 (5.4%) to subtype B and 1/92 (1.1%) to subtype A. The prevalence of major and accessory INSTI RAMs was 0/92 (0%) and 1/91 (1.1%), respectively, similar to the observed rates of 8/284 (2.8%) and 8/284 (2.8%) in the database sequences (p = 0.2076 and p = 0.6944, Fisher’s exact test). Compared to subtype B IN sequences, 15 polymorphisms were significantly enriched in South African subtype C sequences (corrected p<0.0015. Fisher’s exact test, Bonferroni post-hoc procedure).
Compared to subtype C IN sequences isolated outside South Africa, four polymorphisms were significantly enriched in this study cohort (corrected p<0.0014, Fisher’s exact test, Bonferroni post-hoc procedure). The highest prevalence margin was observed for the polymorphism Met50Ile being present in 60.1% of South African subtype C sequences, compared to 37% in non-South African subtype C sequences.
Conclusions: The low prevalence of major and minor RAMs in all South African Integrase sequences predicts a high susceptibility to INSTIs, however, the presence of natural polymorphisms, in particular Met50Ile, in the majority of sequences warrants further monitoring under therapeutic pressure, as their role in mutational pathways leading to INSTI- resistance is yet to be determined. Additionally, this study revealed the presence of substantial inter- and intra-subtype diversity within the HIV-1 Subtype C IN-gene. These results implicate the need for more research on a regional, potentially patient-specific level, as mutational insights from other diverse backgrounds may not accurately represent the South African context. The implementation of a national pre-treatment INSTI-resistance screening program may provide necessary insights into the development of mutational pathways leading to INSTI-resistance under therapeutic pressure for the South African context and thereby bring South Africa one step closer to achieving UNAIDS 90-90-90 goals and ending the AIDS epidemic by 2030.
The human body is laden with trillions of microorganisms that belong to all three domains of life. Some species of this microbiota subsist as harmless commensals in healthy adults, but under certain circumstances, they can cause mucosal disease or even systemic, life-threatening infections. While the bacterial members of our microbiota are heavily studied today, much less attention is afforded to eukaryotic species that colonize different mucocutaneous surfaces of the human body. This dissertation focuses on identifying regulatory circuits that enable a prominent member of these eukaryotes, C. albicans, to, on the one hand, live on a specific mammalian mucosal surface as a harmless commensal and, on the other hand, proliferate as a pathogen. Since the ultimate source of many fatal Candida infections is the gastrointestinal (GI) tract of the infected individual, this organism is particularly suited to distinguishing traits essential for the gut colonization of commensal fungi and their ability to cause disease. Sequence-specific DNA-binding proteins that regulate transcription are important to most biological processes; I thus used these proteins as starting points to gain insights into 1) how a specific transcription regulator promotes virulence in C. albicans; 2) which traits C. albicans requires to inhabit the GI tract of a specific, well-defined mouse model as a harmless commensal; and 3) how three previously undescribed transcriptional regulators contribute to the commensal colonization of the digestive tract of this mouse model. Altogether, this work advances the knowledge concerning the biology of commensal fungi in the mammalian gut and genetic determinants of fungal commensalism, as well as pathogenicity.
Cuticular hydrocarbons (CHC) abound on the surface of arthropods. In spite of their simple structure (molecules of carbon and hydrogen atoms), they provide pivotal functions in insects: their hydrophobic properties confer the insects a means to regulate water balance and avoid desiccation, whereas their diversity has enhanced their use as signals and cues in a wide range of communication and recognition processes. Although the study of CHC in insects over the past two decades has provided great insight into the wide range of functions they play, there is still a gap in understanding how they diversify and evolve. In this thesis, I have used members of the family Chrysididae to explore patterns of diversification of CHC. Most of the species of cuckoo wasps in this study are specialized parasitoids or kleptoparasites of mainly solitary hymenopteran hosts. Other hosts of the family include butterflies or stick insects. Cuckoo wasps are a particular interesting model to study the evolution of cuticular hydrocarbons because of their chemical adaptations that allow them to remain unrecognized by their hosts. Chemical insignificance (the reduction of the total amount of CHC on the cuticle) and chemical mimicry (the de novo production of CHC profiles resembling those of their female host) have been described in some representatives of the family and unpublished evidence suggests chemical deception is widespread in Chrysididae (Chapter 2). Nonetheless, to trace the evolution of any trait of interest, a reliable phylogenetic reconstruction of the family is required. Therefore, the first study of this thesis constitutes the largest and to-date most reliable phylogenetic reconstruction of the family Chrysididae, which includes representatives of 186 species of cuckoo wasps. While the results of this phylogenetic reconstruction are consistent with previous ideas on the relationships of subfamilies and tribes, it shows the existence of several non-monophyletic genera (Chapter 3). CHC are involved in intraspecific recognition, often acting as contact sex pheromones. Nevertheless, it is not yet understood to what extent CHC profiles differ between the two sexes and whether some compound classes are more prevalent in one or the other sex. So far, no comparison of CHC profiles of males and females has been done for more than a dozen of related species. In Chapter 4, I describe and compare CHC profiles of females and males of 58 species of cuckoo wasps in order to evaluate whether and to what extent CHC profiles of these species differ between the sexes. I demonstrated that CHC profiles of cuckoo wasps are frequently (more than 90% of the species analyzed) and strongly dimorphic (both sexes of a given species tend to produce very different CHC compounds). Methyl-branched compounds tend to be more prevalent in males (especially dimethyl-branched compounds) and unsaturated compounds prevail in females. Moreover, a sex-specific pattern in the distribution of the double bond position of alkenes was evident: internal double bond positions (> 11) occur predominantly in males, whereas alkenes with the doublé bond at position 9 were more abundant and frequent in females (Chapter4). In Chapter5, I investigated how CHC profiles of cuckoo wasps differ across species. Are CHC profiles of cuckoo wasps species-specific, enabling their use as cues for species recognition? How do CHC profiles resemble phylogenetic relatedness? In Chapter 5, I try to answer these questions by comparing CHC profiles of 59 species of cuckoo wasps. CHC profiles of cuckoo wasps are shown to be species (and sex-) specific. I show that CHC profiles are useful as a complementary tool to help delimiting taxonomically difficult sibling species. Moreover, the evaluation of CHC profiles of five commonly occurring species within a genus, showed little or no geographical variation. However, CHC profiles of closely related species may differ strongly among each other, not being useful to track the evolutionary history of species (Chapter 5). Sexual selection is generally credited for generating striking sexual dimorphism by causing changes in male traits. Most often, sexual selection has a stronger effect on males, who compete for access to and may be selected by females, thus male traits may rapidly evolve. Nevertheless, in cuckoo wasps, it appears that it is the female sex the one evolving faster changes, with females of very closely related species showing extremely divergent profiles. One plausible reason for this disparity is that natural selection acting on female’s CHC profiles may be stronger than sexual selection on males (Chapter 6). Since females of cuckoo wasps are most probably engaged in an evolutionary arms race with their female hosts, CHC profiles of female cuckoo wasps are likely rapidly evolving, thus explaining part of the strong observed sexual dimorphism of CHC (Chapter 6). In fact, Chapter 7 shows evidence of a possible ongoing evolutionary arms race between five cuckoo wasps of the genus Hedychrum and their hosts. Hedychrum species parasitize either Coleoptera-hunting or Hymenoptera-hunting digger wasps. Since the coleopteran prey of the former digger wasps is naturally better protected against fungus infestation, these wasps do not embalm their prey with alkene-enriched secretions as do the Hymenoptera-hunting digger wasps. Thus, Coleoptera-hunting digger wasps can apparently diversify their profiles to escape chemical mimicry. Interestingly, only female cuckoo wasps of these hosts have started producing the same compound classes and even the same CHC compounds as those of their hosts. Male cuckoo wasps, however retain an alkene-enriched CHC profile that reflects the molecular phylogeny of the genus (Chapter 7). Whereas, a larger number of parasite-host comparisons may be needed to further conclude that an arms race between cuckoo wasps and their hosts is capable of generating sexual dimorphism of cuckoo wasps, this thesis constitutes the first effort towards this, providing a starting point for further studies. Finally, I provide some methodological tools that may help in speeding up the sometimes cumbersome process of analyzing and identifying CHC profiles. One of the most time-demanding steps in the processing of CHC data is the alignment of CHC chromatograms. This process is often done manually, because alignment programs are mostly designed for metabolomics or are just recently being developed. I analyzed CHC profiles using a combined approach with two freely available programs. I used AMDIS (Automated Mass Spectral Deconvolution and Identification System, http://chemdata.nist.gov/mass-spc/amdis/) to deconvolute and automatically identify all CHC of interest present in a chromatogram. I then developed a series of R scripts to correct for potential, unavoidable errors while processing CHC chromatograms with AMDIS. Chapter 8 explains this procedure. In the next chapter, I developed a program that helps in the identification of one commonly occurring class of hydrocarbons. The limited number of linear alkanes (only one per carbon atom) and their characteristic diagnostic ion allows a rapid and unambigous identification of these substances. In opposition, unsaturated and methyl-branched compounds are more difficult to identify, as a result of the much larger diversity of existing compounds. To identify unsaturated compounds a derivatization is necessary to determine the position of the double bond. Methyl-branched alkanes, however can be identified from the original chromatogram if their diagnostic ions are known. Nonetheless, polymethyl-branched alkanes (e.g., compounds with two or more methyl groups along the chain) are often difficult to identify, because they may appear in mixes (e.g., 3,7 diMeC27 and 3,9 diMeC27), and tables containing the diagnostic ions are not easily available. Therefore, I developed a program that creates a table with all possiblemethyl-branched compounds containing up to 4 methyl groups, and that provides their diagnostic ions and a calculated retention index. This may allow a much faster identification of the methyl-branched compound a researcher is dealing with, without having to lose time in the tedious calculations by hand. The program is able to correctly identify, or at least, greatly reduce the number of possible options for the identification of an unknown methyl-branched compound. Thus, using this tool, most methyl-branched compounds can be readily identified (Chapter 9). This thesis ends with a general discussion (Chapter 10). Overall, this work provides a comprehensive overview of the diversity of cuticular hydrocarbons of cuckoo wasps. The analyses presented here shed light on the emergence and evolution of interspecific diversity and intraspecific sexual dimorphism of CHC profiles. In addition, two technical methods have been developed that could greatly facilitate the CHC analysis of insects.
Objectives: The aim of this work is to define critical warning brainstem auditory evoked potential (BAEP) signs as a marker for the postoperative hearing outcome.
Study design: Retrospective study
Setting: Tertiary referral center
Patients: 162 patients who underwent resection of acoustic neuroma via a transtemporal approach with intraoperative monitoring (IOM) at the Department of Otorhinolaryngology, Plastic, Esthetic and Reconstructive Head and Neck Surgery, from January 2011 to December 2017.
Interventions: BAEP was performed in all patients; while intraoperative direct recording of the cochlear nerve function was done in 131 patients.
Main Outcome Measure: postoperative hearing thresholds (Pure tone audiometry).
Results: The most significant risk factor is the permanent loss of wave V as it increases the risk of postoperative hearing loss by 18 times; followed by three-steps increment of the stimulus intensity as it increases the risk by 5.75 times; and finally the response thresholds obtained during the intraoperative direct recording of cochlear nerve function. Each unite increment of the threshold increases the risk of postoperative hearing loss by 6.7%.
Conclusions: We believe that the intraoperative BAEP critical signs during IOM detected in this study can be used as a helpful tool to predict postoperative hearing loss in patients with acoustic neuroma.
T cells play an essential role in the immune system. Engaging the T cell receptor (TCR) initiates a cascade of signaling events that activates the T cells. Neutral sphingomyelinase (NSM) is a member of a superfamily of enzymes responsible for the hydrolysis of sphingomyelin into phosphocholine and ceramide. Sphingolipids are essential mediators in signaling cascades involved in apoptosis, proliferation, stress responses, necrosis, inflammation, autophagy, senescence, and differentiation.
Upon specific ablation of NSM2, T cells proved to be hyper-responsive to CD3/CD28 co-stimulation, indicating that the enzyme acts to dampen early overshooting activation of these cells. It remained unclear whether a deregulated metabolic activity supports the hyper-reactivity of NSM2 deficient T cells. This work demonstrates that the ablation of NSM2 activity affects the metabolism of the quiescent CD4+ T cells. These accumulate ATP in mitochondria and increase basal glycolytic activity by increasing the basal glucose uptake and GLUT1 receptor expression, which, altogether, raises intracellular ATP levels and boosts cellular respiration. The increased basal metabolic activity is associated with rapid phosphorylation of S6, a mTORC1 target, as well as enhanced elevation total ATP levels within the first hour after CD3/CD28 costimulation. Increased metabolic activity in resting NSM2 deficient T cells does, however, not support sustained stimulated responses. While elevated under steady-state conditions and elevated early after co-stimulation in NSM2 deficient CD4+ T cells, the mTORC1 pathway regulating mitochondria size, oxidative phosphorylation, and ATP production is impaired after 24 hours of stimulation. Taken together, the absence of NSM2 promotes a hyperactive metabolic state in unstimulated CD4+ T cells yet fails to support sustained T cell responses upon antigenic stimulation without affecting T cell survival.
Serotonin (5-hydroxytryptamine, 5-HT) is a neurotransmitter involved in early
developmental processes such as cell proliferation, migration, and differentiation.
Recent research in humans showed that the brain 5-HT system and CDH13 are
interlinked in the genetics of neurodevelopmental disorders including attention-
deficit/hyperactivity disorder and autism spectrum disorder (Lesch et al., 2008;
Neale et al., 2008; Neale, Medland, Ripke, Anney, et al., 2010; Neale, Medland,
Ripke, Asherson, et al., 2010; Sanders et al., 2011; Sanders et al., 2015; Zhou et
al., 2008). This study introduces Cadherin-13 (CDH13), a cell adhesion protein, as
a contributor to the development and function of the 5-HT system. Our
experiments show that the absence of CDH13 increases the density of 5-HT
neurons in the developing dorsal raphe (DR) and increases the 5-HT innervation
of the prefrontal cortex in mouse embryonic stages. CDH13 is also observed in
radial glial cells, an important progenitor cell type linked to neuronal migration.
A three-dimensional reconstruction carried out with super-resolution microscopy,
identifies 5-HT neurons intertwined with radial glial cells, and CDH13 clusters at
contact points between these cells. This indicates a potential contribution of
CDH13 to the migration of DR 5-HT neurons. As CDH13 is strongly expressed in
5-HT neurons, we asked whether the selective deletion of CDH13 from these cells
is sufficient to generate the alterations observed in the Cdh13 constitutive
knockout mouse line.
In 5-HT conditional Cdh13 knockout mice (Cdh13 cKO) an increase in DR 5-HT
neurons in the embryonic and adult brains is observed, as well as 5-HT
hyperinnervation of cortical regions. Therefore, illustrating that the lack of CDH13
from 5-HT neurons alone impacts DR formation and serotonergic innervation.
Behavioral testing conducted on Cdh13 cKO mice showed delayed learning in
visuospatial learning and memory processing, as well as, changes in sociability
parameters. To find out how CDH13 localizes in human 5-HT neurons, CDH13 was
visualized in neurons that derived from human induced pluripotent stem cells
(iPSC). Super-resolution microscopy confirmed CDH13 expression in a subgroup
of induced human neurons positive for typical hallmarks of 5-HT neurons, such as
expression of Tph2, the neuron-specific tryptophan hydroxylase, and synaptic
structures. In summary, the work included in this thesis presents a detailed
analysis of CDH13 expression and localization in the 5-HT system and shows that
deletion of CDH13 from 5-HT neurons affects specific higher-order functions of the
brain.
Induced pluripotent stem cells (iPSCs) have been recognised as a virtually unlimited source of stem cells that can be generated in a patient-specific manner. Due to these cells’ potential to give rise to all differentiated cell types of the human body, they have been widely used to derive differentiated cells for drug screening and disease modelling purposes. iPSCs also garner much interest as they can potentially serve as a source for cell replacement therapy. Towards the realisation of these biomedical applications, this thesis aims to address challenges that are associated with scale-up, safety and biofabrication.
Firstly, the manufacture of a high number of human iPSCs (hiPSCs) will require standardised procedures for scale-up and the development of a flexible bioprocessing method, since standard adherent hiPSC culture exhibits limited scalability and is labour-intensive. While the quantity of cells that are required for cell therapy depends largely on the tissue and defect that these replacing cells are meant to correct, an estimate of 1 × 10^9 has been suggested to be sufficient for several indications, including myocardial infarction and islet replacement for diabetes. Here, the development of an integrated, microcarrier-free workflow to transition standard adherent hiPSC culture (6-well plates) to scalable stirred suspension culture in bioreactors (1 L working volume, 2.4 L maximum working volume) is presented. The two-phase bioprocess lasts 14 days and generates hiPSC aggregates measuring 198 ± 58 μm in diameter on the harvesting day, yielding close to 2 × 10^9 cells. hiPSCs can be maintained in stirred suspension for at least 7 weeks with weekly passaging, while exhibiting pluripotency-associated markers TRA-1-60, TRA-1-81, SSEA-4, OCT4, and SOX2. These cells retain their ability to differentiate into cells of all the three germ layers in vitro, exemplified by cells positive for AFP, SMA, or TUBB3. Additionally, they maintain a stable karyotype and continue to respond to specification cues, demonstrated by directed differentiation into beating cardiomyocyte-like cells. Therefore, the aim of manufacturing high hiPSC quantities was met using a state-of-the-art scalable suspension bioreactor platform.
Secondly, multipotent stem cells such as induced neural stem cells (iNSCs) may represent a safer source of renewable cells compared to pluripotent stem cells. However, pre-conditioning of stem cells prior to transplantation is a delicate issue to ensure not only proper function in the host but also safety. Here, iNSCs which are normally maintained in the presence of factors such as hLIF, CHIR99021, and SB431542 were cultured in basal medium for distinct periods of time. This wash-out procedure results in lower proliferation while maintaining key neural stem cell marker PAX6, suggesting a transient pre-differentiated state. Such pre-treatment may aid transplantation studies to suppress tumourigenesis through transplanted cells, an approach that is being evaluated using a mouse model of experimental focal demyelination and autoimmune encephalomyelitis.
Thirdly, biomedical applications of stem cells can benefit from recent advancements in biofabrication, where cells can be arranged in customisable topographical layouts. Employing a 3DDiscovery bioprinter, a bioink consisting of hiPSCs in gelatin-alginate was extruded into disc-shaped moulds or printed in a cross-hatch infill pattern and cross-linked with calcium ions. In both discs and printed patterns, hiPSCs recovered from these bioprints showed viability of around 70% even after 4 days of culture when loaded into gelatin-alginate solution in aggregate form. They maintained pluripotency-associated markers TRA-1-60 and SSEA-4 and continued to proliferate after re-plating. As further proof-of-principle, printed hiPSC 3D constructs were subjected to targeted neuronal differentiation, developing typical neurite outgrowth and resulting in a widespread network of cells throughout and within the topology of the printed matrix. Staining against TUBB3 confirmed neuronal identity of the differentiated cellular progeny. In conclusion, these data demonstrate that hiPSCs not only survive the 3D-printing process but were able to differentiate along the printed topology in cellular networks.
The role of the adhesion and degranulation promoting adapter protein (ADAP) in platelet production
(2020)
Bone marrow (BM) megakaryocytes (MKs) produce platelets by extending proplatelets into sinusoidal blood vessels. Although this process is fundamental to maintain normal platelet counts in circulation only little is known about the regulation of directed proplatelet formation.
As revealed in this thesis, ADAP (adhesion and degranulation promoting adapter protein) deficiency (constitutive as well as MK and platelet-specific) resulted in a microthrombocytopenia in mice, recapitulating the clinical hallmark of patients with mutations in the ADAP gene. The thrombocytopenia was caused by a combination of an enhanced removal of platelets from the circulation by macrophages and a platelet production defect. This defect led to an ectopic release of (pro)platelet-like particles into the bone marrow compartment, with a massive accumulation of such fragments around sinusoids. In vitro studies of cultured BM cell-derived MKs revealed a polarization defect of the demarcation membrane system, which is dependent on F-actin dynamics. ADAP-deficient MKs spread on collagen and fibronectin displayed a reduced F-actin content and podosome density in the lowest confocal plane. In addition, ADAP-deficient MKs exhibited a reduced capacity to adhere on Horm collagen and in line with that the activation of beta1-integrins in the lowest confocal plane of spread MKs was diminished. These results point to ADAP as a novel regulator of terminal platelet formation.
Beside ADAP-deficient mice, three other knockout mouse models (deficiency for profilin1 (PFN1), Wiskott-Aldrich-syndrome protein (WASP) and Actin-related protein 2/3 complex subunit 2 (ARPC2)) exist, which display ectopic release of (pro)platelet-like particles. As shown in the final part of the thesis, the pattern of the ectopic release of (pro)platelet-like particles in these genetically modified mice (PFN1 and WASP) was comparable to ADAP-deficient mice. Furthermore, all tested mutant MKs displayed an adhesion defect as well as a reduced podosome density on Horm collagen. These results indicate that similar mechanisms might apply for ectopic release.
Traditional fashion retailers are increasingly hard-pressed to keep up with their digital competitors. In this context, the re-invention of brick-and-mortar stores as smart retail environments is being touted as a crucial step towards regaining a competitive edge. This thesis describes a design-oriented research project that deals with automated product tracking on the sales floor and presents three smart fashion store applications that are tied to such localization information: (i) an electronic article surveillance (EAS) system that distinguishes between theft and non-theft events, (ii) an automated checkout system that detects customers’ purchases when they are leaving the store and associates them with individual shopping baskets to automatically initiate payment processes, and (iii) a smart fitting room that detects the items customers bring into individual cabins and identifies the items they are currently most interested in to offer additional customer services (e.g., product recommendations or omnichannel services). The implementation of such cyberphysical systems in established retail environments is challenging, as architectural constraints, well-established customer processes, and customer expectations regarding privacy and convenience pose challenges to system design. To overcome these challenges, this thesis leverages Radio Frequency Identification (RFID) technology and machine learning techniques to address the different detection tasks. To optimally configure the systems and draw robust conclusions regarding their economic value contribution, beyond technological performance criteria, this thesis furthermore introduces a service operations model that allows mapping the systems’ technical detection characteristics to business relevant metrics such as service quality and profitability. This analytical model reveals that the same system component for the detection of object transitions is well suited for the EAS application but does not have the necessary high detection accuracy to be used as a component of an automated checkout system.
Humans in our environment are of special importance to us. Even if our minds are
fixated on tasks unrelated to their presence, our attention will likely be drawn
towards other people’s appearances and their actions.
While we might remain unaware of this attentional bias at times, various studies have demonstrated the preferred visual scanning of other humans by recording eye movements in laboratory settings. The present thesis aims to investigate the circumstances under and the mechanisms by which this so-called social attention operates.
The first study demonstrates that social features in complex naturalistic scenes are prioritized in an automatic fashion. After 200 milliseconds of stimulus presentation, which is too brief for top-down processing to intervene, participants targeted image areas depicting humans significantly more often than would be expected from a chance distribution of saccades. Additionally, saccades towards these areas occurred earlier in time than saccades towards non-social image regions. In the second study, we show that human features receive most fixations even when bottom-up information is restricted; that is, even when only the fixated region was visible and the remaining parts of the image masked, participants still fixated on social image regions longer than on regions without social cues. The third study compares the influence of real and artificial faces on gaze patterns during the observation of dynamic naturalistic videos. Here we find that artificial faces, belonging to humanlike statues or machines, significantly predicted gaze allocation but to a lesser extent than real faces. In the fourth study, we employed functional magnetic resonance imaging to investigate the neural correlates of reflexive social attention. Analyses of the evoked blood-oxygenation level dependent responses pointed to an involvement of striate and extrastriate visual cortices in the encoding of social feature space.
Collectively, these studies help to elucidate under which circumstances social
features are prioritized in a laboratory setting and how this prioritization might be achieved on a neuronal level. The final experimental chapter addresses the question whether these laboratory findings can be generalized to the real world. In this study, participants were introduced to a waiting room scenario in which they interacted with a confederate. Eye movement analyses revealed that gaze behavior heavily depended on the social context and were influenced by whether an interaction is currently desired. We further did not find any evidence for altered gaze behavior in socially anxious participants. Alleged gaze avoidance or hypervigilance in social
anxiety might thus represent a laboratory phenomenon that occurs only under very specific real-life conditions. Altogether the experiments described in the present
thesis thus refine our understanding of social attention and simultaneously
challenge the inferences we can draw from laboratory research.
This Thesis explores hybrid structures on the basis of quantum spin Hall insulators, and in particular the interplay of their edge states and superconducting and magnetic order. Quantum spin Hall insulators are one example of topological condensed matter systems, where the topology of the bulk bands is the key for the understanding of their physical properties. A remarkable consequence is the appearance of states at the boundary of the system, a phenomenon coined bulk-boundary correspondence. In the case of the two-dimensional quantum spin Hall insulator, this is manifested by so-called helical edge states of counter-propagating electrons with opposite spins. They hold great promise, \emph{e.g.}, for applications in spintronics -- a paradigm for the transmission and manipulation of information based on spin instead of charge -- and as a basis for quantum computers. The beginning of the Thesis consists of an introduction to one-dimensional topological superconductors, which illustrates basic concepts and ideas. In particular, this includes the topological distinction of phases and the accompanying appearance of Majorana modes at their ends. Owing to their topological origin, Majorana modes potentially are essential building-blocks for topological quantum computation, since they can be exploited for protected operations on quantum bits. The helical edge states of quantum spin Hall insulators in conjunction with $s$-wave superconductivity and magnetism are a suitable candidate for the realization of a one-dimensional topological superconductor. Consequently, this Thesis investigates the conditions in which Majorana modes can appear. Typically, this happens between regions subjected to either only superconductivity, or to both superconductivity and magnetism. If more than one superconductor is present, the phase difference is of paramount importance, and can even be used to manipulate and move Majorana modes. Furthermore, the Thesis addresses the effects of the helical edge states on the anomalous correlation functions characterizing proximity-induced superconductivity. It is found that helicity and magnetism profoundly enrich their physical structure and lead to unconventional, exotic pairing amplitudes. Strikingly, the nonlocal correlation functions can be connected to the Majorana bound states within the system. Finally, a possible thermoelectric device on the basis of hybrid systems at the quantum spin Hall edge is discussed. It utilizes the peculiar properties of the proximity-induced superconductivity in order to create spin-polarized Cooper pairs from a temperature bias. Cooper pairs with finite net spin are the cornerstone of superconducting spintronics and offer tremendous potential for efficient information technologies.
Time-triggered communication is widely used throughout several industry do-
mains, primarily for reliable and real-time capable data transfers. However,
existing time-triggered technologies are designed for terrestrial usage and not
directly applicable to space applications due to the harsh environment. In-
stead, specific hardware must be developed to deal with thermal, mechanical,
and especially radiation effects.
SpaceWire, as an event-triggered communication technology, has been used
for years in a large number of space missions. Its moderate complexity, her-
itage, and transmission rates up to 400 MBits/s are one of the main ad-
vantages and often without alternatives for on-board computing systems of
spacecraft. At present, real-time data transfers are either achieved by prior-
itization inside SpaceWire routers or by applying a simplified time-triggered
approach. These solutions either imply problems if they are used inside dis-
tributed on-board computing systems or in case of networks with more than
a single router are required.
This work provides a solution for the real-time problem by developing
a novel clock synchronization approach. This approach is focused on being
compatible with distributed system structures and allows time-triggered data
transfers. A significant difference to existing technologies is the remote clock
estimation by the use of pulses. They are transferred over the network and
remove the need for latency accumulation, which allows the incorporation of
standardized SpaceWire equipment. Additionally, local clocks are controlled
decentralized and provide different correction capabilities in order to handle
oscillator induced uncertainties. All these functionalities are provided by a developed Network Controller (NC), able to isolate the attached network and
to control accesses.
Structural equation modeling (SEM) has been used and developed for decades across various domains and research fields such as, among others, psychology, sociology, and business research. Although no unique definition exists, SEM is best understood as the entirety of a set of related theories, mathematical models, methods, algorithms, and terminologies related to analyzing the relationships between theoretical entities -- so-called concepts --, their statistical representations -- referred to as constructs --, and observables -- usually called indicators, items or manifest variables.
This thesis is concerned with aspects of a particular strain of research within SEM -- namely, composite-based SEM. Composite-based SEM is defined as SEM involving linear compounds, i.e., linear combinations of observables when estimating parameters of interest.
The content of the thesis is based on a working paper (Chapter 2), a published refereed journal article (Chapter 3), a working paper that is, at the time of submission of this thesis, under review for publication (Chapter 4), and a steadily growing documentation that I am writing for the R package cSEM (Chapter 5). The cSEM package -- written by myself and my former colleague at the University of Wuerzburg, Florian Schuberth -- provides functions to estimate, analyze, assess, and test nonlinear, hierarchical and multigroup structural equation models using composite-based approaches and procedures.
In Chapter 1, I briefly discuss some of the key SEM terminology.
Chapter 2 is based on a working paper to be submitted to the Journal of Business Research titled “Assessing overall model fit of composite models in structural equation modeling”. The article is concerned with the topic of overall model fit assessment of the composite model. Three main contributions to the literature are made. First, we discuss the concept of model fit in SEM in general and composite-based SEM in particular. Second, we review common fit indices and explain if and how they can be applied to assess composite models. Third, we show that, if used for overall model fit assessment, the root mean square outer residual covariance (RMS_theta) is identical to another well-known index called the standardized root mean square residual (SRMR).
Chapter 3 is based on a journal article published in Internet Research called “Measurement error correlation within blocks of indicators in consistent partial least squares: Issues and remedies”. The article enhances consistent partial least squares (PLSc) to yield consistent parameter estimates for population models whose indicator blocks contain a subset of correlated measurement errors. This is achieved by modifying the correction for attenuation as originally applied by PLSc to include a priori assumptions on the structure of the measurement error correlations within blocks of indicators. To assess the efficacy of the modification, a Monte Carlo simulation is conducted. The paper is joint work with Florian Schuberth and Theo Dijkstra.
Chapter 4 is based on a journal article under review for publication in Industrial Management & Data Systems called “Estimating and testing second-order constructs using PLS-PM: the case of composites of composites”. The purpose of this article is threefold: (i) evaluate and compare common approaches to estimate models containing second-order constructs modeled as composites of composites, (ii) provide and statistically assess a two-step testing procedure to test the overall model fit of such models, and (iii) formulate recommendation for practitioners based on our findings. Moreover, a Monte Carlo simulation to compare the approaches in terms of Fisher consistency, estimated bias, and RMSE is conducted. The paper is joint work with Florian Schuberth and Jörg Henseler.
Although the contribution to the Isotropic Gamma-Ray Background (IGRB) from unresolved extragalactic objects has been studied for many years, its exact composition and origin are as of yet unknown. It is suspected that diffuse processes such as dark matter annihilation contribute to the total IGRB, as well as unresolved gamma-ray emission from Active Galactic Nuclei (AGN), including radio galaxies. Radio galaxies are a source class that emit strongly at radio wavelengths, some of which have also been detected at gamma-ray wavelengths by the Fermi Large Area Telescope (Fermi-LAT), and by very high energy gamma-ray Cherenkov telescopes. It is thought that due to the orientation of their jets, radio galaxies are detected less numerously at gamma-ray energies than blazars. Furthermore, only a small number of radio galaxies have been detected at gamma-ray energies though it is considered that others do as well. It is for these reasons that gamma-ray emitting radio galaxies, an interesting and elusive class of objects, are selected for investigation in this work.
In order to reach the goal of better understanding diffuse processes, it is necessary to model the radio galaxy spectral energy distributions (SEDs). As AGN emission is variable with respect to time, it is critical to use simultaneously collected observations. Calculation of the SED based on simultaneous, multiwavelength data across the electromagnetic spectrum produces a reasonably accurate representation of the state of an object in a given time range. The gamma-ray emitting radio galaxies M 87, NGC 1275, Pictor A, and Centaurus A are selected here based on having been detected in very high energy gamma-rays by Cherenkov telescopes, as well as in other wavelengths. A uniquely consistent analysis approach is applied, in which each radio galaxy is analyzed the same way using simultaneously collected data. This approach sets it apart from other studies.
Fermi-LAT raw data for each source in the sample is analyzed in time ranges which directly overlap the very high energy gamma-ray Cherenkov observations, as well as several other wavelength ranges. A synchrotron self-Compton (SSC) model is applied, which provides accurate treatment of synchrotron and inverse-Compton processes occurring in the jets of AGN, while estimating physical characteristics of the source. It is found that the spectra of M 87, NGC 1275, Pictor A, and Centaurus A can be well described by the same SSC model, producing values for the physical characteristics such as the doppler factor and magnetic field, which are relatively consistent with each other.
In order to characterize the diffuse emission from dark matter self-annihilation, the radio galaxy SEDs are also fit with a dark matter model, resulting in an estimated dark matter particle mass of around 4.7 TeV which lies within predicted ranges.
The highly dense regions near the black holes of AGN provide the optimal conditions for detecting these signatures. It is also found here that discrepancies between the expected emission and the observed emission in the spectra of some radio galaxies can be explained using the combined SSC and dark matter model. As emission from dark matter annihilation is expected to remain steady with respect to time, a key feature of this work is the novelty of the combined SSC and dark matter model, and the finding that dark matter characteristics may be revealed through similar multiwavelength analyses during future low emission states of the AGN.
The radio galaxy sample is then extended to include all gamma-ray emitting radio galaxies detected by the Fermi-LAT, and a calculation of the core radio, total radio, and gamma-ray luminosities is followed through. A future step in extending this work would be to estimate the gamma-ray luminosity function of radio galaxies and their percent contribution to the total IGRB, based on the widely agreed upon assumption that a reasonable estimate of the gamma-ray luminosity function of a population can be attained by appropriately scaling its radio luminosity function, as gamma-ray luminosities and radio luminosities are strongly linearly correlated. This work has also provided the basis for such a calculation by outlining the theory and initial steps.
It is the hope that the vast scope of the gathered data, its simultaneity, and the use of consistent analysis methods across the sample, will provide an improved foundation for a future calculation of the contribution of this population to the IGRB, as well as encourage stricter requirements for multiwavelength studies.
Structural and functional elucidation of the Type VIIb secretion system from Staphylococcus aureus
(2020)
The Type VII secretion system (T7SS) is linked to virulence and long-term pathogenesis in a broad range of Gram-positive bacteria, including the human commensal and pathogen Staphylococcus aureus. The Type VIIb secretion system (T7SSb) is responsible for the export of small toxic proteins, which induce antibacterial immune responses and mediate bacterial persistence in the host. In addition, it is also involved in bacterial competition. The T7SSb requires several proteins to build up the secretion machinery. This work focuses on the structural and functional investigation of the motor ATPase EssC and the putative pore forming, multi-pass membrane component EsaA. Both proteins are indispensable for substrate secretion.
EssC belongs to the FtsK/SpoIIIE ATPase family and is conserved among the T7SSs. It contains three C-terminal, cytosolic ATPase domains, designated as EssC- D1, -D2 and -D3, whereby EssC-D3 is the most distal one. In this thesis, I am presenting the crystal structure of the EssC-D3 at 1.7 Å resolution. As the deletion of EssC-D3 abrogates substrate export, I have demonstrated that this domain comprises a hydrophobic, surface-exposed pocket, which is required for substrate secretion. More specifically, I have identified two amino acids involved in the secretion process. In addition, my results indicate that not only EssC-D3 is important for substrate interaction but also EssC-D2 and/or EssC-D1. Unlike in the related Yuk T7SSb of Bacillus subtilis, the ATPase activity of D3 domain contributes to substrate secretion. Mutation of the modified Walker B motif in EssC-D3 diminishes substrate secretion completely.
The membrane protein EsaA encompasses an extracellular segment spanning through the cell wall of S. aureus. I was able to reveal that this part folds into a stable domain, which was crystallized and diffracted up to 4 Å. The first attempts to dissolve the structure failed due to a lack of homologues structures. Therefore, crystals for single-wavelength anomalous dispersion, containing selenomethionyl-substitutes, were produced and the structure solution is still in progress. Preliminary experiments addressing the function of the extracellular domain indicate an important role in substrate secretion and bacterial competition.
Nanoelectronics is an essential technology for down-scaling beyond the limit of silicon-based electronics. Single-Wall Carbon Nanotubes (SWNT) are semiconducting components that exhibit a large variety of properties that make them usable for sensing, telecommunication, or computational tasks. Due to their high surface to volume ratio, carbon nanotubes are strongly affected by molecular adsorptions, and almost all properties depend on surface adsorption. SWNT with smaller diameters (0.7-0.9nm) show a stronger sensitivity to surface effects. An optimized synthesis route was developed to produce these nanotubes directly. They were produced with a clean surface, high quality, and large lengths of 2 μ m. The results complement previous studies on larger diameters (0.9-1.4nm). They allow performing statistically significant assumptions for a perfect nanotube, which is selected from a subset of nanotubes with good emission intensity, and high mechanical durability. The adsorption of molecules on the surface of carbon nanotubes influences the motion and binding strength of chargeseparated states in this system. To gain insight into the adsorption processes on the surface with a minimum of concurrent overlapping effects, a microscopic setup, and a measurement technique were developed. The system was estimated to exhibit excellent properties like long exciton diffusion lengths (>350nm), and big exciton sizes (8.5(5)nm), which was substantiated by a simulation. We studied the adsorption processes at the surface of Single-Wall Carbon Nanotubes for molecules in the gas phase, solvent molecules, and surfactant molecules. The experiments were all carried out on suspended individualized carbon nanotubes on a silicon wafer substrate. The experiments in the gas-phase showed that the excitonic emission energy and intensity experiences a rapid blue shift during observation. This shift was associated with the spontaneous desorption of large clusters of gaseous molecules caused by laser heat up. The measurement of this desorption was essential for creating a reference to an initially clean surface and allows us to perform a comparison with previous measurements on this topic. Furthermore, the adsorption of hydrogen on the nanotube surface at high temperatures was investigated. It was found that a new emission mode arises slightly red-shifted to the excitonic emission in these systems. The new signal is almost equally strong as the main excitonic peak and was associated with the brightening of dark excitons at sp3-defects through a K-phonon assisted pathway. The finding is useful for the direct synthesis of spintronic devices as these systems are known to act as single-photon emitters. The suspended nanotubes were further studied to estimate the effect of solvent adsorption on the excitonic states during nanotube dispersion for each nanotube individually. A significant quantum yield loss is observable for hexane and acetonitrile, while the emission intensity was found to be the strongest in toluene. The reference to a clean surface allowed us to estimate the exact influence of the dielectric environment of adsorbing solvents on the excitonic emission energy. Solvent adsorption was found to lead to an energy shift that is almost twice as high as suggested in previous studies. The amount of this energy shift, however, was comparably similar for all solvents, which suggests that the influence of the distinct dielectric constant in the outer environment less significantly influences the energy shift than previously thought. An interesting phenomenon was found when using acetonitrile as a solvent, which leads to greatly enhanced emission properties. The emission is more than twice as high as in the same air-suspended nanotubes, which suggests a process that depends on the laser intensity. In this study, it was reasonably explained how an energy down-conversion is possible through the coupling of the excitonic states with solvent vibrations. The strength of this coupling, however, also suggests adsorptions to the inside of the tubular nanotube structure leading to a coupled vibration of linear acetonitrile molecules that are adsorbed to the inner surface. The findings are important for the field of nanofluidics and provide an excellent system for efficient energy down-conversion in the transmission window of biological tissue. Having separated the pure effect of solvent adsorption allowed us to study the undisturbed molecular adsorption of polymers in these systems. The addition of polyfluorene polymer leads to a slow but stepwise intensity increase. The intensity increase is overlapping with a concurrent process that leads to an intensity decrease. Unfortunately, observing the stepwise process has a low spacial resolution of only 100-250nm, which is in the range of the exciton diffusion length in these systems and hinders detailed analysis. The two competing and overlapping processes processes are considered to originate from slow π-stacking and fast side-chain binding. Insights into this process are essential for selecting suitably formed polymers. However, the findings also emphasize the importance of solvent selection during nanotube dispersion since solvent effects were proven to be far more critical on the quantum yield in these systems. These measurements can shed light on the ongoing debate on polymers adsorption during nanotube individualization and allow us to direct the discussion more towards the selection of suitable solvents. This work provides fundamental insights into the adsorption of various molecules on the surface of individually observed suspended Single-Wall Carbon Nanotubes. It allows observing the adsorption of individual molecules below the optical limit in the solid, liquid, and gas phases. Nanotubes are able to act as sensing material for detecting changes in their direct surrounding. These fundamental findings are also crucial for increasing the quantum yield of solvent-dispersed nanotubes. They can provide better light-harvesting systems for microscopy in biological tissue and set the base for a more efficient telecommunication infrastructure with nano-scale spintronics devices and lasing components. The newly discovered solvent alignment in the nanotube surrounding can potentially also be used for supercapacitors that are needed for caching the calculation results in computational devices that use polymer wrapped nanotubes as transistors. Although fundamental, these studies develop a strategy to enlighten this room that is barely only visible at the bottom of the nano-scale.
Deterioration of gait and alterations of physiological gait initiation contribute significantly to the burden of disease in Parkinson's disease. This paper systematically investigates disease-specific alterations during the postural phases of gait initiation and demonstrates the influence of dopaminergic networks by assessing levodopa mediated improvements in motor performance and correlation of motor behavior with loss of striatal and cortical dopaminergic neurons. Particular attention is given to known confounders such as initial stance and anthropometrics.
Modern agriculture is the basis of human existence, a blessing, but also a curse. It provides nourishment and well-being to the ever-growing human population, yet destroys biodiversity-mediated processes that underpin productivity: ecosystem services such as water filtration, pollination and biological pest control. Ecological intensification is a promising alternative to conventional farming, and aims to sustain yield and ecosystem health by actively managing biodiversity and essential ecosystem services. Here, I investigate opportunities and obstacles for ecological intensification. My research focuses on 1) the relative importance of soil, management and landscape variables for biodiversity and wheat yield (Chapter II); 2) the influence of multi-scale landscape-level crop diversity on biological pest control in wheat (Chapter III) and 3) on overall and functional bird diversity (Chapter IV). I conclude 4) by introducing a guide that helps scientists to increase research impact by acknowledging the role of stakeholder engagement for the successful implementation of ecological intensification (Chapter V).
Ecological intensification relies on the identification of natural pathways that are able to sustain current yields. Here, we crossed an observational field study of arthropod pests and natural enemies in 28 real-life wheat systems with an orthogonal on-field insecticide-fertilizer experiment. Using path analysis, we quantified the effect of 34 factors (soil characteristics, recent and historic crop management, landscape heterogeneity) that directly or indirectly (via predator-prey interactions) contribute to winter wheat yield. Reduced soil preparation and high crop rotation diversity enhanced crop productivity independent of external agrochemical inputs. Concurrently, biological control by arthropod natural enemies could be restored by decreasing average field sizes on the landscape scale, extending crop rotations and reducing soil disturbance. Furthermore, reductions in agrochemical inputs decreased pest abundances, thereby facilitating yield quality.
Landscape-level crop diversity is a promising tool for ecological intensification. However, biodiversity enhancement via diversification measures does not always translate into agricultural benefits due to antagonistic species interactions (intraguild predation). Additionally, positive effects of crop diversity on biological control may be masked by inappropriate study scales or correlations with other landscape variables (e.g. seminatural habitat). Therefore, the multiscale and context-dependent impact of crop diversity on biodiversity and ecosystem services is ambiguous. In 18 winter wheat fields along a crop diversity gradient, insect- and bird-mediated pest control was assessed using a natural enemy exclusion experiment with cereal grain aphids. Although birds did not influence the strength of insect-mediated pest control, crop diversity (rather than seminatural habitat cover) enhanced aphid regulation by up to 33%, particularly on small spatial scales. Crop diversification, an important Greening measure in the European Common Agricultural Policy, can improve biological control, and could lower dependence on insecticides, if the functional identity of crops is taken into account. Simple measures such as ‘effective number of crop types’ help in science communication.
Although avian pest control did not respond to landscape-level crop diversity, birds may still benefit from increased crop resources in the landscape, depending on their functional grouping (feeding guild, conservation status, habitat preference, nesting behaviour). Observational studies of bird functional diversity on 14 wheat study fields showed that non-crop landscape heterogeneity rather than crop diversity played a key role in determining the richness of all birds. Insect-feeding, non-farmland and non-threatened birds increased across multiple spatial scales (up to 3000 m). Only crop-nesting farmland birds declined in heterogeneous landscapes. Thus, crop diversification may be less suitable for conserving avian diversity, but abundant species benefit from overall habitat heterogeneity. Specialist farmland birds may require more targeted management approaches.
Identifying ecological pathways that favour biodiversity and ecosystem services provides opportunities for ecological intensification that increase the likelihood of balancing conservation and productivity goals. However, change towards a more sustainable agriculture will be slow to come if research findings are not implemented on a global scale. During dissemination activities within the EU project Liberation, I gathered information on the advantages and shortcomings of ecological intensification and its implementation. Here, I introduce a guide (‘TREE’) aimed at scientists that want to increase the impact of their research. TREE emphasizes the need to engage with stakeholders throughout the planning and research process, and actively seek and promote science dissemination and knowledge implementation. This idea requires scientists to leave their comfort zone and consider socioeconomic, practical and legal aspects often ignored in classical research.
Ecological intensification is a valuable instrument for sustainable agriculture. Here, I identified new pathways that facilitate ecological intensification. Soil quality, disturbance levels and spatial or temporal crop diversification showed strong positive correlations with natural enemies, biological pest control and yield, thereby lowering the dependence on agrochemical inputs. Differences between functional groups caused opposing, scale-specific responses to landscape variables. Opposed to our predictions, birds did not disturb insect-mediated pest control in our study system, nor did avian richness relate to landscape-level crop diversity. However, dominant functional bird groups increased with non-crop landscape heterogeneity. These findings highlight the value of combining different on-field and landscape approaches to ecological intensification. Concurrently, the success of ecological intensification can be increased by involving stakeholders throughout the research process. This increases the quality of science and reduces the chance of experiencing unscalable obstacles to implementation.
Deubiquitinases are regulators of the ubiquitin proteasome system that counteract the ubiquitination cascade by removing ubiquitin from substrates and cleaving ubiquitin chains. Due to their involvment in various important pathways, they are associated with several diseases and may thus present promising drug targets. The two related ubiquitin specific proteases USP25 and USP28 share a highly conserved amino acid sequence but perform distinct biological functions. USP28 plays roles in cell cycle regulation and was also linked to several types of cancer. It adopts oncogenic functions by rescuing the oncoproteins MYC and JUN from proteasomal degradation, which is induced by the E3-ligase SCF (FBW7). Opposingly, USP28 also regulates the stability of the tumor suppressor FBW7 itself. USP25 contributes to a balanced innate immune system by stabilizing TRAF3 and TRAF6 and lately was found to promote Wnt-signaling by deubiquitinating TNKS.
Due to the high level of identity of both proteases, a recent attempt to inhibit USP28 led to cross reactivity against USP25. In our study, we characterized both USP25 and USP28 structurally and functionally using x-ray crystallography, biochemical as well as biophysical approaches to determine similarities and differences that can be exploited for the development of specific inhibitors.
The crystal structure of the USP28 catalytic domain revealed a cherry-couple like dimer that mediates self-association by an inserted helical subdomain, the USP25/28 catalytic domain inserted domain (UCID). In USP25, the UCID leads to formation of a tetramer composed of two interlinked USP28-like dimers. Structural and functional analysis revealed that the dimeric USP28 is active, whereas the tetrameric USP25 is auto inhibited. Disruption of the tetramer by a cancer-associated mutation or a deletion-variant activates USP25 through dimer formation in in vitro assays and leads to an increased stability of TNKS in cell studies. Furthermore, in vitro data showed that neither ubiquitin nor substrate binding led to the activation of the USP25 tetramer construct. With the structure of the C-terminal domain of USP25, we determined the last unknown region in the enzyme as a separately folded domain that mediates substrate interactions.
Combined the structures of the USP25 and USP28 catalytic domains and the functional characterization of both enzymes provide novel insights into the regulation of USPs by oligomerization. Furthermore, we identified individual features of each protease that might be explored for the development of specific small molecule inhibitors.
Gastrointestinal infections account for high morbidity and mortality in humans every year across the globe. The increasing emergence of antibiotic resistance among the gastrointestinal pathogens and the induction of virulence factors by antibiotics makes it highly risky to only depend on antibiotic therapy for intestinal infections. Most of these infections are associated with an imbalance in the gut microbial population whereas the restoration of the balance with probiotic supplements can result in an improvement of the health condition. Probiotics are therefore considered as successful support in the treatment of gastrointestinal infections.
E. coli Nissle 1917 (EcN) is the active component of the probiotic medication Mutaflor® and has been used in the treatment of various gastrointestinal disorders for more than 100 years. Several studies have reported antagonistic effects of EcN against enterohemorrhagic E. coli (EHEC) in vitro and in vivo. However, detailed investigations on the probiotic mechanisms and safety aspects of EcN are a pre-requisite, for administering EcN to treat EHEC infected patients or to use EcN as a prophylactic for the patient’s close contacts.
In this regard, the first part of the study aimed to understand the nature and behaviour of EcN in the presence of pathogenic or non-pathogenic E. coli strains. Transcriptomic analysis was deployed to this end. We investigated the changes in EcN’s transcriptome after different time points of coculture with the EHEC strain EDL933 or the K-12 strain MG1655. The transcriptome data reported a strain-specific response in EcN at all the investigated time points (3 h, 5 h, 7 h and 8 h) of coincubation. The alterations in gene regulation of EcN were highly pronounced in initial timepoints (3 h and 5 h) of coincubation with EDL933, which gradually decreased over time. In the presence of MG1655, the alterations were strongly differentially regulated only at later time points (7 h and 8 h). The unique transcriptional response of EcN towards two different E. coli strains, that are genetically more than 98 % identical, was startling.
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More importantly, this can be considered as a beneficial trait of EcN over a chemical-pharmaceutical preparation like an antibiotic that might act identically on all target cells.
Bacteriophages are one of the most abundant members of gut microbiota. On the one hand, the infection of a probiotic strain by a lysogenic phage could transfer genetic material coding for pathogenic factors or antibiotic resistance into an otherwise beneficial probiotic bacterium and thereby converting it into a virulent pathogenic bacterium. On the other hand, infection by a lytic phage could result in bacterial lysis and prevent the bacterium from exerting its probiotic effect. Thus, in order to successfully establish and colonise the gut, it is crucial for any probiotic to be resistant against phage infections. To address this, in the second part of the study, we investigated the phage resistance of EcN towards the lysogenic lambda and the lytic T4 phage.
EcN showed complete resistance against tested phages and was also able to inactivate these phages upon coincubation. In the case of lambda phages, the resistance was attributed to the presence of a lambdoid prophage (prophage 3) in the genome of EcN. In addition, the overexpression of one of the early genes of EcN’s prophage 3 (i.e. phage repressor gene pr) in the phage sensitive MG1655 conferred partial protection against lambda phage infection. Moreover, the inactivation was mediated by binding of lambda phages to its receptor LamB. Experiments with lytic T4 phages revealed that the EcN’s K5 polysaccharide capsule was crucial for its T4 phage resistance, while its lipopolysaccharide (LPS) inactivated the T4 phages. Apart from protecting itself, EcN displayed even a protective role for the tested K-12 strains, by interfering with the lysogeny and lysis by these phages.
In summary, this work highlights two novel positive traits of the probiotic strain EcN: i) the strain-specific response that was evident from the global transcriptome analysis of EcN when incubated with other E. coli strains, and ii) lytic and lysogenic phage resistance. Both these traits are additional safety aspects for a well-characterised probiotic strain and encourage its application in therapeutics.
Zinc is an essential trace element for all living organisms. In mammals, including humans and mice, it is required for normal growth, development, hematopoiesis and immune defense. This thesis investigates the influence of zinc on the development of megakaryocytes (MKs), the cells responsible for bone marrow-derived platelet production. Furthermore, a detailed analysis of the expression of zinc import and export transporters (Slc39a/Slc30a genes) is carried out, firstly over the course of MK differentiation and secondly dependent on extracellular zinc.
Dispersal is a life-history trait affecting dynamics and persistence of populations; it evolves under various known selective pressures. Theoretical studies on dispersal typically assume 'natal dispersal', where individuals emigrate right after birth. But emigration may also occur during a later moment within a reproductive season ('breeding dispersal'). For example, some female butterflies first deposit eggs in their natal patch before migrating to other site(s) to continue egg-laying there. How breeding compared to natal dispersal influences the evolution of dispersal has not been explored. To close this gap we used an individual-based simulation approach to analyze (i) the evolution of timing of breeding dispersal in annual organisms, (ii) its influence on dispersal (compared to natal dispersal). Furthermore, we tested (iii) its performance in direct evolutionary contest with individuals following a natal dispersal strategy. Our results show that evolution should typically result in lower dispersal under breeding dispersal, especially when costs of dispersal are low and population size is small. By distributing offspring evenly across two patches, breeding dispersal allows reducing direct sibling competition in the next generation whereas natal dispersal can only reduce trans-generational kin competition by producing highly dispersive offspring in each generation. The added benefit of breeding dispersal is most prominent in patches with small population sizes. Finally, the evolutionary contests show that a breeding dispersal strategy would universally out-compete natal dispersal.
Endophytes live in partial symbiosis inside a plant and have been detected in all tested plants. They belong to the group of fungi or bacteria and their ecological function is mostly unknown. The fungal endophytes of the genus Epichloë belong to a special group of endophytes. Epichloë endophytes live symbiotically inside cool season grass species and some of them are able to produce alkaloids toxic to vertebrates and insects. Their symbiosis is seen as mutualistic for the following reasons: the fungus provides the plant herbivore resistance by producing alkaloids, and it increases the plant’s drought tolerance as well as its biomass production. In return, the grass provides the fungus shelter, nutrients and dispersal. Epichloë endophytes are host specific and the ability to produce alkaloids differs between species. In order to estimate intoxication risks in grasslands, it is necessary to detect infection rates of different grass species with Epichloë endophytes, and to determine the genotypes and chemotypes of the Epichloë species as well as the produced alkaloid concentrations. Factors like land-use intensity or season may have an influence on infection rates and alkaloid concentrations. Also, different methodological approaches may lead to different results. In this doctoral thesis my general aim was to evaluate intoxication risks in German grasslands caused by Epichloë endophytes. For that I investigated infection rates of different grass species and the genotypes and chemotypes of their Epichloë endophytes in German grasslands (Chapter II). Furthermore, I compared alkaloid concentrations detected with dry and fresh plant weight and different analytical methods. I also detected possible changes on the influence of season or land-use intensity (Chapter III). Additionally, I examined infections with Epichloë endophytes and alkaloid concentrations in commercially available grass seed mixtures and determined how that influences the intoxication risk of grazing animals in Europe (Chapter IV).
It is of agricultural interest to estimate intoxication risks for grazing livestock on German grasslands due to Epichloë infected grass species. Therefore, it is important to investigate which grasses are infected with the Epichloë endophyte, if the endophytes have the ability to produce vertebrate and invertebrate toxic alkaloids and if the alkaloids are indeed produced. I showed that Epichloë festucae var. lolii infecting agriculturally important Lolium perenne lacked the starting gene for ergovaline biosynthesis. Hence, vertebrate toxic ergovaline was not detected in the majority of the collected L. perenne plants. The detection of alkaloid concentrations is an important tool to estimate intoxication risk for vertebrates, but also invertebrates. My studies showed that the usage of dry plant material is crucial to quantify the correct alkaloid concentrations, and that alkaloid concentrations can vary depending on the detection method. Hence, the usage of validated, similar detection methods is important to be able to compare alkaloid concentrations from different studies. Nevertheless, the trends of seasonal changes and the influence of land-use intensity stayed the same, regardless if dry or fresh plant weight was used. Also, alkaloid concentrations were below toxicity thresholds on population level, regardless of the method used. Two commercially available forage grass and two commercially available turf grass seed mixtures were infected with Epichloë endopyhtes and alkaloids were detected. This might contribute to the spreading of Epichloë endopyhtes in Germany, therefore seed mixtures should be tested for Epichloë infections. My results indicate that the intoxication risk is generally low in Germany at the moment, although that might change due to climate change, an increase of monocultural land-use, or the seeding of Epichloë infected grass seeds.
The work in this thesis contains three main topics. These are the passage from discrete to continuous models by means of $\Gamma$-convergence, random as well as periodic homogenization and fracture enabled by non-convex Lennard-Jones type interaction potentials. Each of them is discussed in the following.
We consider a discrete model given by a one-dimensional chain of particles with randomly distributed interaction potentials. Our interest lies in the continuum limit, which yields the effective behaviour of the system. This limit is achieved as the number of atoms tends to infinity, which corresponds to a vanishing distance between the particles. The starting point of our analysis is an energy functional in a discrete system; its continuum limit is obtained by variational $\Gamma$-convergence.
The $\Gamma$-convergence methods are combined with a homogenization process in the framework of ergodic theory, which allows to focus on heterogeneous systems. On the one hand, composite materials or materials with impurities are modelled by a stochastic or periodic distribution of particles or interaction potentials. On the other hand, systems of one species of particles can be considered as random in cases when the orientation of particles matters. Nanomaterials, like chains of atoms, molecules or polymers, are an application of the heterogeneous chains in experimental sciences.
A special interest is in fracture in such heterogeneous systems. We consider interaction potentials of Lennard-Jones type. The non-standard growth conditions and the convex-concave structure of the Lennard-Jones type interactions yield mathematical difficulties, but allow for fracture. The interaction potentials are long-range in the sense that their modulus decays slower than exponential. Further, we allow for interactions beyond nearest neighbours, which is also referred to as long-range.
The main mathematical issue is to bring together the Lennard-Jones type interactions with ergodic theorems in the limiting process as the number of particles tends to infinity. The blow up at zero of the potentials prevents from using standard extensions of the Akcoglu-Krengel subadditive ergodic theorem. We overcome this difficulty by an approximation of the interaction potentials which shows suitable Lipschitz and Hölder regularity. Beyond that, allowing for continuous probability distributions instead of only finitely many different potentials leads to a further challenge.
The limiting integral functional of the energy by means of $\Gamma$-convergence involves a homogenized energy density and allows for fracture, but without a fracture contribution in the energy. In order to refine this result, we rescale our model and consider its $\Gamma$-limit, which is of Griffith's type consisting of an elastic part and a jump contribution.
In a further approach we study fracture at the level of the discrete energies. With an appropriate definition of fracture in the discrete setting, we define a fracture threshold separating the region of elasticity from that of fracture and consider the pointwise convergence of this threshold. This limit turns out to coincide with the one obtained in the variational $\Gamma$-convergence approach.
In recent years, great progress has been made in the area of Artificial Intelligence (AI) due to the possibilities of Deep Learning which steadily yielded new state-of-the-art results especially in many image recognition tasks.
Currently, in some areas, human performance is achieved or already exceeded.
This great development already had an impact on the area of Optical Music Recognition (OMR) as several novel methods relying on Deep Learning succeeded in specific tasks.
Musicologists are interested in large-scale musical analysis and in publishing digital transcriptions in a collection enabling to develop tools for searching and data retrieving.
The application of OMR promises to simplify and thus speed-up the transcription process by either providing fully-automatic or semi-automatic approaches.
This thesis focuses on the automatic transcription of Medieval music with a focus on square notation which poses a challenging task due to complex layouts, highly varying handwritten notations, and degradation.
However, since handwritten music notations are quite complex to read, even for an experienced musicologist, it is to be expected that even with new techniques of OMR manual corrections are required to obtain the transcriptions.
This thesis presents several new approaches and open source software solutions for layout analysis and Automatic Text Recognition (ATR) for early documents and for OMR of Medieval manuscripts providing state-of-the-art technology.
Fully Convolutional Networks (FCN) are applied for the segmentation of historical manuscripts and early printed books, to detect staff lines, and to recognize neume notations.
The ATR engine Calamari is presented which allows for ATR of early prints and also the recognition of lyrics.
Configurable CNN/LSTM-network architectures which are trained with the segmentation-free CTC-loss are applied to the sequential recognition of text but also monophonic music.
Finally, a syllable-to-neume assignment algorithm is presented which represents the final step to obtain a complete transcription of the music.
The evaluations show that the performances of any algorithm is highly depending on the material at hand and the number of training instances.
The presented staff line detection correctly identifies staff lines and staves with an $F_1$-score of above $99.5\%$.
The symbol recognition yields a diplomatic Symbol Accuracy Rate (dSAR) of above $90\%$ by counting the number of correct predictions in the symbols sequence normalized by its length.
The ATR of lyrics achieved a Character Error Rate (CAR) (equivalently the number of correct predictions normalized by the sentence length) of above $93\%$ trained on 771 lyric lines of Medieval manuscripts and of 99.89\% when training on around 3.5 million lines of contemporary printed fonts.
The assignment of syllables and their corresponding neumes reached $F_1$-scores of up to $99.2\%$.
A direct comparison to previously published performances is difficult due to different materials and metrics.
However, estimations show that the reported values of this thesis exceed the state-of-the-art in the area of square notation.
A further goal of this thesis is to enable musicologists without technical background to apply the developed algorithms in a complete workflow by providing a user-friendly and comfortable Graphical User Interface (GUI) encapsulating the technical details.
For this purpose, this thesis presents the web-application OMMR4all.
Its fully-functional workflow includes the proposed state-of-the-art machine-learning algorithms and optionally allows for a manual intervention at any stage to correct the output preventing error propagation.
To simplify the manual (post-) correction, OMMR4all provides an overlay-editor that superimposes the annotations with a scan of the original manuscripts so that errors can easily be spotted.
The workflow is designed to be iteratively improvable by training better models as soon as new Ground Truth (GT) is available.
This thesis is concerned with the solution of control and state constrained optimal control problems, which are governed by elliptic partial differential equations. Problems of this type are challenging since they suffer from the low regularity of the multiplier corresponding to the state constraint. Applying an augmented Lagrangian method we overcome these difficulties by working with multiplier approximations in $L^2(\Omega)$. For each problem class, we introduce the solution algorithm, carry out a thoroughly convergence analysis and illustrate our theoretical findings with numerical examples.
The thesis is divided into two parts. The first part focuses on classical PDE constrained optimal control problems. We start by studying linear-quadratic objective functionals, which include the standard tracking type term and an additional regularization term as well as the case, where the regularization term is replaced by an $L^1(\Omega)$-norm term, which makes the problem ill-posed. We deepen our study of the augmented Lagrangian algorithm by examining the more complicated class of optimal control problems that are governed by a semilinear partial differential equation.
The second part investigates the broader class of multi-player control problems. While the examination of jointly convex generalized Nash equilibrium problems (GNEP) is a simple extension of the linear elliptic optimal control case, the complexity is increased significantly for pure GNEPs. The existence of solutions of jointly convex GNEPs is well-studied. However, solution algorithms may suffer from non-uniqueness of solutions. Therefore, the last part of this thesis is devoted to the analysis of the uniqueness of normalized equilibria.
Plants have evolved many mechanisms to defend against herbivores and pathogens. In many cases, these mechanisms took other duties. One example of such a neofunction- alisation would be carnivory. Carnivory evolved from the defence against herbivores. Instead of repelling the predator with a bitter taste, the plant kills it and absorbs its nutrients. A second example can be found in the pollination process. Many of the genes involved here were originally part of defence mechanisms against pathogens. In this thesis, I study these two examples on a genomic and transcriptomic level. The first project, Genomics of carnivorous Droseraceae, aims at obtaining annotated genome sequences of three carnivorous plants. I assembled the genome of Aldrovanda vesiculosa, annotated those of A. vesiculosa, Drosera spatulata and Dionaea muscipula and com- pared their genomic contents. Because of the high repetitiveness of the D. muscipula genome, I also developed reper, an assembly free method for detection, classification and quantification of repeats. With that method, we were able to study the repeats without the need of incorporating them into a genome assembly. The second large project investigates the role of DEFL (defensin-like) genes in pollen tube guidance in tobacco flowers. We sequenced the transcriptome of the SR1 strain in different stages of the pollination process. I assembled and annotated the transcriptome and searched for differentially expressed genes. We also used a method based on Hidden- Markov-Models (HMM) to find DEFLs, which I then analysed regarding their expression during the different stages of fertilisation. In total, this thesis results in annotated genome assemblies of three carnivorous Droser- aceae, which are used as a foundation for various analyses investigating the roots of car- nivory, insights into the role of DEFLs on a transcriptomic level in tobacco pollination and a new method for repeat identification in complex genomes.
People who suffer Social Anxiety Disorder (SAD) are under substantial personal distress and endure impaired normal functioning in at least some parts of everyday life. Next, to the personal suffering, there are also the immense public health costs to consider, as SAD is the most common anxiety disorder and thereby one of the major psychiatric disorders in general. Over the last years, fundamental research found cognitive factors as essential components in the development and maintenance of social fears. Following leading cognitive models, avoidance behaviors are thought to be an important factor in maintaining the developed social anxieties. Therefore, this thesis aims to deepen the knowledge of avoidance behaviors exhibited in social anxiety, which allows to get a better understanding of how SAD is maintained.
To reach this goal three studies were conducted, each using a different research approach. In the first study cutting-edge Virtual Reality (VR) equipment was used to immerse participants in a virtual environment. In this virtual setting, High Socially Anxious (HSA) individuals and matched controls had to execute a social Approach-Avoidance Task (AAT). In the task, participants had to pass a virtual person displaying neutral or angry facial expressions. By using a highly immersive VR apparatus, the first described study took the initial step in establishing a new VR task for the implicit research on social approach-avoidance behaviors. By moving freely through a VR environment, participants experienced near real-life social situations. By tracking body and head movements, physical and attentional approach-avoidance processes were studied.
The second study looked at differences in attention shifts initiated by gaze-cues of neutral or emotional faces. Comparing HSA and controls, enabled a closer look at attention re-allocation with special focus on social stimuli. Further, context conditioning was used to compare task performance in a safe and in a threatening environment. Next to behavioral performance, the study also investigated neural activity using Electroencephalography (EEG) primarily looking at the N2pc component.
In the third study, eye movements of HSA and Low Socially Anxious (LSA) were analyzed using an eye-tracking apparatus while participants executed a computer task. The participants’ tasks consisted of the detection of either social or non-social stimuli in complex visual settings. The study intended to compare attention shifts towards social components between these two tasks and how high levels of social anxiety influence them. In other words, the measurements of eye movements enabled the investigation to what extent social attention is task-dependent and how it is influenced by social anxiety.
With the three described studies, three different approaches were used to get an in-depth understanding of what avoidance behaviors in SAD are and to which extent they are exhibited. Overall, the results showed that HSA individuals exhibited exaggerated physical and attentional avoidance behavior. Furthermore, the results highlighted that the task profoundly influences attention allocation. Finally, all evidence indicates that avoidance behaviors in SAD are exceedingly complex. They are not merely based on the fear of a particular stimulus, but rather involve highly compound cognitive processes, which surpass the simple avoidance of threatening stimuli. To conclude, it is essential that further research is conducted with special focus on SAD, its maintaining factors, and the influence of the chosen research task and method.
To foster sustainable environmentally friendly behavior in children it is important to provide an effective form of environmental education. In this context we studied three important factors: Attitude towards nature, environmental knowledge and advanced expert knowledge.
Concerning attitude towards nature our first question was: “Is it possible to affect primary school children’s environmental values during a one-day visit at a wildlife park?”
As a control, the program was also conducted in schools, leading to two different learning settings- wildlife park and school.
Regarding environmental knowledge, in our second question we wanted to know, if our modified teaching approach “guided learning at workstations” (G) combining instructional and constructivist elements would lead to good cognitive learning results of primary school children. Additionally, we compared it to a stronger teacher-centered (T) as well as to a stronger student-centered (S) approach.
The third question we asked was “Is it possible to convey fascinating expert knowledge on a more advanced subject to primary school children using conceptual change theory?” After gathering primary school children’s preconceptions, we defined different groups due to the heterogeneity of their pre-existing conceptions and the change in conceptions. Based on this research we designed a program along with an instrument to measure the impact of the conceptual change teaching method.
After years of building a strong cooperation between the section Didactics of Biology at the Julius-Maximilians University Würzburg, the nearby schools and the wildlife park “Wild-Park Klaushof” near Bad Kissingen in northern Bavaria it was time to evaluate the environmental education programs prepared and applied by undergraduate university students. As a model species we chose the European wildcat (Felis silvestris silvestris) which represents endangered wildlife in Europe and the need for human interaction for the sake of preserving a species by restoring or recreating the habitat conditions needed while maintaining current infrastructure. Drawing from our own as well as teachers’ and university students’ experiences, we built, implemented and evaluated a hands-on program following several workstations between the wildcat enclosure and the wildlife park’s green classroom.
The content of our intervention was presented as a problem-oriented lesson, where children were confronted with the need for human interaction in order to preserve the European wildcat. Not only on a theoretical basis, but very specific to their hometowns they were told where and when nature conservation groups met or where to donate money.
692 Bavarian third grade primary school children in 35 classes participated in the one-day intervention that took place between the months of april, 2014 and november, 2015 in the wildlife park or in their respective classrooms. The ages varied between 8 and 11 years with the mean age being 8.88 ± 0.56 years old. 48.6 % of them were boys, 51.4 % were girls.
(1) To measure primary school children’s environmental attitudes a questionnaire on two major environmental values- preservation and utilization of nature- was administered in a pre, post- and retention test design. It was possible to affect primary school children’s environmental preservation values during our one-day program. This result could be found not only at the wildlife park but unexpectedly also in school, where we educated classes for control purposes. We also found this impact consistent in all used teaching approaches and were surprised to see the preservation values change in a way we did not expect from higher tendency towards preservation of nature to a lower one.
We presume that children of this age group reflected on the contents of our intervention. This had an influence on their own values towards preservation which led to a more realistic marking behavior in the questionnaire. We therefore conclude that it is possible to affect primary school children’s environmental values with a one-day program on environmental content.
(2) We were interested in conveying environmental knowledge about the European wildcat; its morphology, ecology and behavior. We designed and applied a knowledge questionnaire also in a pre-, post- and retention test design, to find out, whether different forms of instruction made a difference in learning success of primary school children.
We used two approaches with a teacher in the role of a didactic leader- our modified guided approach (G) as well as a stronger teacher-centered one (T) with a higher focus on instruction. The third approach was presented as a strong student-centered learning at workstations (S) without a didactic leader we also called “free learning at workstations”.
Overall, all children’s knowledge scores changed significantly from pre- to post-test and from pre- to retention test, indicating learning success. Differences could only be found between the posttest values of both approaches with a didactic leader (G, T) in comparison to the strong student-centered (S) form.
It appears that these primary school children gained knowledge at the out of school learning setting regardless of the used teaching approach.
On the subject of short-term differences, we discuss, that the difference in learning success might have been consistent from post to retention test if a consolidation phase had been added in the days following the program as should be common practice after a visit to an out-of- school learning setting but was not part of our intervention.
When comparing both approaches with a didactic leader (G, T), we prefer our modified guided learning at workstations (G) since constructivist phases can be implemented without losses concerning learning success. Moreover, the (at least temporary) presence of a teacher in the role of a didactic leader ensures maintained discipline and counteracts off-task behavior.
To make sure, different emotional states did not factor in our program, we measured children’s situational emotions directly after the morning intervention using a short scale that evaluated interest, wellbeing and boredom. We found, that these emotions remained consistent over both learning settings as well as different forms of instruction. While interest and wellbeing remained constantly high, boredom values remained low.
We take this as a sign of high quality designing and conducting the intervention.
(3) In the afternoon of the one-day intervention, children were given the opportunity to investigate the wildcat further, this time using the conceptual change theory in combination with a more complex and fascinating content: cats’ vision in dusk and dawn.
Children were confronted with their preconceptions which had been sampled prior to the study and turned into three distinctive topics reflected in a special questionnaire.
In a pre-, post and retention test design we included the most common alternative conceptions, the scientifically correct conceptions as well as other preconceptions.
We gathered a high heterogeneity of preconceptions and defined three groups based on conceptual change literature: “Conceptual change”, “Synthetic Models” and “Conceptual Growth”. In addition to these we identified two more groups after our data analysis: “Knowledge” and “Non-addressed Concepts”.
We found that instruction according to the conceptual change theory did not work with primary school children in our intervention. The conceptual change from the addressed alternative conceptions as well as from other preconceptions towards the scientifically correct conceptions was successfully achieved only on occasion.
In our case and depending on the topic only one third to one fourth of the children actually held the addressed conception while the rest was not targeted by the instruction. Moreover, we conclude children holding other conceptions were rather confused than educated by the confrontation. We assume that children of this age group may be overchallenged by the conceptual change method.
Staphylococcus aureus is a Gram-positive commensal bacterium, that asymptomatically colonizes human skin and mucosal surfaces. Upon opportune conditions, such as immunodeficiency or breached barriers of the host, it can cause a plethora of infections ranging from local, superficial infections to life-threatening diseases. Despite being regarded as an extracellular pathogen, S. aureus can invade and survive within non-phagocytic and phagocytic cells. Eventually, the pathogen escapes from the host cell resulting in killing of the host cell, which is associated with tissue destruction and spread of infection. However, the exact molecular mechanisms underlying S. aureus-induced host cell death remain to be elucidated.
In the present work, a genome-wide haploid genetic screen was performed to identify host cell genes crucial for S. aureus intracellular cytotoxicity. A mutant library of the haploid cell line HAP1 was infected with the pathogen and cells surviving the infection were selected. Twelve genes were identified, which were significantly enriched when compared to an infection with a non-cytotoxic S. aureus strain.
Additionally, characteristics of regulated cell death pathways and the role of Ca2+ signaling in S. aureus-infected cells were investigated. Live cell imaging of Ca2+ reporter cell lines was used to analyze single cells. S. aureus-induced host cell death exhibited morphological features of apoptosis and activation of caspases was detected. Cellular H2O2 levels were elevated during S. aureus intracellular infection. Further, intracellular S. aureus provoked cytosolic Ca2+ overload in epithelial cells. This resulted from Ca2+ release from endoplasmic reticulum and Ca2+ influx via the plasma membrane and led to mitochondrial Ca2+ overload. The final step of S. aureus-induced cell death was plasma membrane permeabilization, a typical feature of necrotic cell death.
In order to identify bacterial virulence factors implicated in S. aureus-induced host cell killing, the cytotoxicity of selected mutants was investigated. Intracellular S. aureus employs the bacterial cysteine protease staphopain A to activate an apoptosis-like cell death characterized by cell contraction and membrane bleb formation. Phagosomal escape represents a prerequisite staphopain A-induced cell death, whereas bacterial intracellular replication is dispensable. Moreover, staphopain A contributed to efficient colonization of the lung in a murine pneumonia model.
In conclusion, this work identified at least two independent cell death pathways activated by intracellular S. aureus. While initially staphopain A mediates S. aureus-induced host cell killing, cytosolic Ca2+-overload follows later and leads to the final demise of the host cell.
Induction of ectopic bone formation by site directed immobilized BMP2 variants \(in\) \(vivo\)
(2020)
In contrast to common bone fractures, critical size bone defects are unable to self-regenerate and therefore external sources for bone replacement are needed. Currently, the gold standard to treat critical size bone fractures, resulting from diseases, trauma or surgical interventions, is the use of autologous bone transplantation that is associated with several drawbacks such as postoperative pain, increased loss of blood during surgery and extended operative time.
The field of bone tissue engineering focuses on the combination of biomaterials and growth factors to circumvent these adverse events and thereby to improve critical size bone defects treatment.
To this aim, a promising approach is represented by using a collagen sponge soaked with one of the most powerful osteoinductive proteins, the bone morphogenetic protein 2 (BMP2). After the approval by the Food and Drug Administration (FDA), BMP2 was used to successfully treat several severe bone defects. However, the use of BMP2 delivery systems is associated with severe side effects such as inflammation, swelling, ectopic bone formation outside of the site of implantation and breathing problems if implanted in the area of the cervical spine. The occurrence of severe side effects is related to the supraphysiological amounts of the applied protein at the implantation site. The BMP2 is typically adsorbed into the scaffold and diffuses rapidly after implantation. Therefore, intensive research has been conducted to improve the protein’s retention ability, since a prolonged entrapment of the BMP2 at the implantation site would induce superior bone formation in vivo due to a minimized protein release. By controlling the release from newly designed materials or changing the protein immobilization methods, it seems possible to improve the osteoinductive properties of the resulting BMP2-functionalized scaffolds.
The combination of biocompatible and biodegradable scaffolds functionalized with a covalently immobilized protein such as BMP2 would constitute a new alternative in bone tissue engineering by eliminating the aforementioned severe side effects. One of the most common immobilization techniques is represented by the so-called EDC/NHS chemistry. This coupling technique allows covalent biding of the growth factor but in a non-site direct manner, thus producing an implant with uncontrollable and unpredictable osteogenic activities. Therefore, the generation of BMP2 variants harboring functional groups that allow a site-directed immobilization to the scaffold, would enable the production of implants with reproducible osteogenic activity.
The new BMP2 variants harbor an artificial amino acid at a specific position of the mature polypeptide sequence. The presence of the unnatural amino acid allows to use particular covalent immobilization techniques in a highly specific and site directed manner. The two selected BMP2 variants, BMP2 E83Plk and BMP2 E83Azide, were expressed in E. coli, renatured and purified by cation exchange chromatography. The final products were intensively analyzed in terms of purity and biological activity in vitro. The two BMP2 variants enabled the application of different coupling techniques and verify the possible options for site directed immobilization to the scaffold.
Intensive analyses on the possible side effects caused by the coupling reactions and on the quantification of the coupled protein were performed. Both click chemistry reactions showed high reaction efficacies when the BMP2 variants were coupled to functionalized fluorophores. Quantification by ELISA and scintillation counting of radioactively labeled protein revealed different outcomes. Moreover, the amounts of protein detected for the BMP2 variants coupled to microspheres were similar to that of the wild type protein. Therefore, it was not possible to conclude whether the BMP2 variants were covalently coupled or just adsorbed.
BMP2 variants being immobilized to various microspheres induced osteogenic differentiation of C2C12 cells in vitro, but only in those cells that were located in close proximity to the functionalized beads. This selectivity strongly indicates that the protein is for a great portion covalently coupled and not just adsorbed. Moreover, the difference between the covalently coupled BMP2 variants and the adsorbed BMP2 WT was confirmed in vivo. Injection of the BMP2-functionalized microspheres in a rat model induced subcutaneous bone formation.
The main aim of the animal experiment was to prove whether covalently coupled BMP2 induces bone formation at significant lower doses if compared to the amount being required if the protein is simply adsorbed. To this aim, several BMP2 concentrations were tested in this animal experiment. The BMP2 variants, being covalently immobilized, were hypothesized to be retained and therefore bio-available at the site of implantation for a prolonged time. However, in the animal experiments, lower doses of either coupled or adsorbed protein were unable to induce any bone formation within the 12 weeks.
In contrast, the highest doses induced bone formation that was first detected at week 4. During the 12 weeks of the experiment, an increase in bone density and a steady state bone volume was observed. These results were obtained only for the covalently coupled BMP2 E83Azide but not for BMP2 E83Plk that did not induce bone formation in any condition. The negative outcome after application of BMP2 E83Plk suggested that the coupling reaction might have provoked changes in the protein structure that extremely influenced its osteogenic capabilities in vivo.
However, the histological examination of the different ossicles induced either by BMP2 WT or BMP2 E83Azide, revealed clear morphological differences. BMP2 WT induced a bone shell-like structure, while the covalently coupled protein induced uniform bone formation also throughout the inner part. The differences between the two newly formed bones can be clearly associated with the different protein delivery mechanisms. Thus, the developed functionalized microspheres constitute a new interesting strategy that needs further investigations in order to be able to be used as replacement of the currently used BMP2 WT loaded medical devices.
Quantitative Electron Paramagnetic Resonance Studies of Charge Transfer in Organic Semiconductors
(2020)
In the present work we investigated various charge transfer processes, as they appear in the versatile world of organic semiconductors by probing the spin states of the corresponding charge carrier species via electron paramagnetic resonance (EPR) spectroscopy. All studied material systems are carbon-based compounds, either belonging to the group of polymers, fullerenes, or single-wall carbon nanotubes (SWNTs).
In the first instance, we addressed the change of the open circuit voltage (Voc) with the fullerene blend stoichiometry in fullerene-based solar cells for organic photovoltaics (OPV). The voltage depends strongly on the energy separation between the lowest unoccupied molecular orbital (LUMO) of the donor and the highest occupied molecular orbital (HOMO) of the acceptor. By exploiting the Gaussian distribution of the charge carriers in a two-level system, and thus also their spins in the EPR experiment, it could be shown that the LUMOs get closer by a few to a few hundred meV when going from pure fullerene materials to a fullerene mixture. The reason for this strong energetic effect is likely the formation of a fullerene alloy.
Further, we investigated the chemical doping mechanism of SWNTs with a (6,5)-chirality and their behaviour under optical excitation. In order to determine the unintentional (pre)-doping of SWNTs, EPR spectra of the raw material as well as after different purification steps were recorded. This facilitated the determination of nanotube defects and atmospheric p-doping as the causes of the measured EPR signals. In order to deliberately transfer additional charge carriers to the nanotubes, we added the redox-active substance AuCl3 where we determined an associated doping-yield of (1.5±0.2)%. In addition, a statistical occupation model was developed which can be used to simulate the distribution of EPR active, i.e. unpaired and localised charge carriers on the nanotubes.
Finally, we investigated the charge transfer behaviour of (6,5)-SWNTs together with the polymer P3HT and the fullerene PC60BM after optical excitation.
In this thesis we discuss the potential of nanodevices based on topological insulators. This novel class of matter is characterized by an insulating bulk with simultaneously conducting boundaries. To lowest order, the states that are evoking the conducting behavior in TIs are typically described by a Dirac theory. In the two-dimensional case, together with time- reversal symmetry, this implies a helical nature of respective states. Then, interesting physics appears when two such helical edge state pairs are brought close together in a two-dimensional topological insulator quantum constriction. This has several advantages. Inside the constriction, the system obeys essentially the same number of fermionic fields as a conventional quantum wire, however, it possesses more symmetries. Moreover, such a constriction can be naturally contacted by helical probes, which eventually allows spin- resolved transport measurements.
We use these intriguing properties of such devices to predict the formation and detection of several profound physical effects. We demonstrate that narrow trenches in quantum spin Hall materials – a structure we coin anti-wire – are able to show a topological super- conducting phase, hosting isolated non-Abelian Majorana modes. They can be detected by means of a simple conductance experiment using a weak coupling to passing by helical edge states. The presence of Majorana modes implies the formation of unconventional odd-frequency superconductivity. Interestingly, however, we find that regardless of the presence or absence of Majoranas, related (superconducting) devices possess an uncon- ventional odd-frequency superconducting pairing component, which can be associated to a particular transport channel. Eventually, this enables us to prove the existence of odd- frequency pairing in superconducting quantum spin Hall quantum constrictions. The symmetries that are present in quantum spin Hall quantum constrictions play an essen- tial role for many physical effects. As distinguished from quantum wires, quantum spin Hall quantum constrictions additionally possess an inbuilt charge-conjugation symmetry. This can be used to form a non-equilibrium Floquet topological phase in the presence of a time-periodic electro-magnetic field. This non-equilibrium phase is accompanied by topological bound states that are detectable in transport characteristics of the system. Despite single-particle effects, symmetries are particularly important when electronic in- teractions are considered. As such, charge-conjugation symmetry implies the presence of a Dirac point, which in turn enables the formation of interaction induced gaps. Unlike single-particle gaps, interaction induced gaps can lead to large ground state manifolds. In combination with ordinary superconductivity, this eventually evokes exotic non-Abelian anyons beyond the Majorana. In the present case, these interactions gaps can even form in the weakly interacting regime (which is rather untypical), so that the coexistence with superconductivity is no longer contradictory. Eventually this leads to the simultaneous presence of a Z4 parafermion and a Majorana mode bound at interfaces between quantum constrictions and superconducting regions.
In the past decades correlated-electron physics due to strong Coulomb interactions and topological physics caused by band inversion often induced by strong spin-orbit coupling have been the workhorses of solid state research.
While commonly considered as disparate phenomena, it was realized in the early 2010s that the interplay between the comparably strong Coulomb and spin-orbit interactions in the $5d$ transition metal oxides may result in hitherto unforeseen properties.
The layered perovskite Sr$\textsubscript{2}$IrO$\textsubscript{4}$ has attracted special attention due to the observation of an unconventional Mott-insulating phase and predictions of exotic superconductivity.
Less is known about its three-dimensional counterpart SrIrO$\textsubscript{3}$, since rather than the cubic perovskite structure it adopts the thermodynamically stable hexagonal polymorph thereof.
This thesis therefore sets out to establish the synthesis of epitaxially stabilized perovskite SrIrO$\textsubscript{3}$ by pulsed laser deposition and to investigate its electronic and magnetic structure by state-of-the-art x-ray spectroscopy techniques.
In this endeavor the appropriate thermodynamic conditions for the growth of high-quality SrIrO$\textsubscript{3}$ are identified with a focus on the prevention of cation off-stoichiometry and the sustainment of layer-by-layer growth.
In the thus-optimized films the cubic perovskite symmetry is broken by a tetragonal distortion due to epitaxial strain and additional cooperative rotations of the IrO$\textsubscript{6}$ octahedra.
As a consequence of the thermodynamic instability of the IrO$\textsubscript{2}$ surface layer, the films unexpectedly undergo a conversion to a SrO termination during growth.
In an attempt to disentangle the interplay between spin-orbit and Coulomb interaction the three-dimensional electronic structure of perovskite SrIrO$\textsubscript{3}$ is investigated in a combined experimental and theoretical approach using soft x-ray angle-resolved photoelectron spectroscopy and \textit{ab initio} density functional theory calculations.
The experimentally found metallic ground state hosts coherent quasiparticle peaks with a well-defined Fermi surface and is theoretically described by a single half-filled band with effective total angular momentum $J_\text{eff} = 1/2$ only upon incorporation of a sizeable local Coulomb repulsion and -- to a lesser extent -- the broken cubic crystal symmetry in the film.
Upon reduction of the SrIrO$\textsubscript{3}$ thickness below a threshold of four unit cells the scales are tipped in favor of a Mott-insulating phase as the on-site Coulomb repulsion surmounts the diminishing kinetic energy upon transition into the two-dimensional regime.
Concomitantly, a structural transition occurs because the corner-shared octahedral network between substrate and film imposes constraints upon the IrO$\textsubscript{6}$ octahedral rotations in the thin-film limit.
The striking similarity between the quasi-two-dimensional spin-orbit-induced Mott insulator Sr$\textsubscript{2}$IrO$\textsubscript{4}$ and SrO-terminated SrIrO$\textsubscript{3}$ in the monolayer limit underlines the importance of dimensionality for the metal-insulator transition and possibly opens a new avenue towards the realization of exotic superconductivity in iridate compounds.
Whether the analogy between SrIrO$\textsubscript{3}$ in the two-dimensional limit and its Ruddlesden-Popper bulk counterparts extends to their complex magnetic properties ultimately remains an open question, although no indications for a remanent (anti)ferromagnetic order were found.
The unprecedented observation of an x-ray magnetic circular dichroism at the O~$K$-absorption edge of iridium oxides in an external magnetic field promises deeper insights into the intricate connection between the $J_\text{eff} = 1/2$ pseudospin state, its hybridization with the oxygen ligand states and the magnetic order found in the Ruddlesden-Popper iridates.
Nowadays, computational-aided investigations become an essential part in the chemical, biochemical or pharmaceutical research. With increasing computing power, the calculation of larger biological systems becomes feasible. In this work molecular mechanical (MM) and quantum mechanical approaches (QM) and the combination of both (QM/MM) have been applied to study several questions which arose from different working groups. Thus, this work comprises eight different subjects which deals with chemical reactions or proton transfer in enzymes, conformational changes of ligands or proteins and verification of experimental data.
This work firstly deals with reaction mechanisms of aromatic inhibitors of cysteine proteases which can be found in many organisms. These enzymes are responsible for various cancer or diseases as for example Human African Trypanosomiasis (HAT) or the Chagas disease. Aromatic SNAr-type electrophiles might offer a new possibility to covalently modify these proteases. Quantum mechanical calculations have been performed to gain insights into the energetics and possible mechanisms.
The next chapter also deals with Trypanosomiasis but the focus was set on a different enzyme. The particularity of Trypanosomiasis is the thiol metabolism which can also be modified by covalent inhibitors. In this context, the wild type and point mutations of the enzyme tryparedoxin have been investigated via molecular dynamic (MD) simulations to examine the influence of specific amino acids in regard to the inhibitor. Experimental data showed that a dimerization of the enzyme occurs if the inhibitor is present. Simulations revealed that the stability of the dimer decreases in absence of the inhibitor and thus confirms these experiments.
Further investigations concerning cysteine proteases such as cruzain and rhodesain have been conducted with respect to experimental kinetic data of covalent vinylsulfone inhibitors. Several approaches such as QM or QM/MM calculations and docking, MD or MMPBSA/MMGBSA simulations have been applied to reproduce these data. The utilization of force field approaches resulted in a qualitatively accurate prediction.
The kinase AKT is involved in a range of diseases and plays an important role in the formation of cancer. Novel covalent-allosteric inhibitors have been developed and crystallized in complex with AKT. It was shown that depending on the inhibitor a different cysteine residue is modified. To investigate these differences in covalent modification computational simulations have been applied.
Enoyl-(acyl carrier) (ENR) proteins are essential in the last step of the fatty acid biosynthesis II (FAS) and represent a good target for inhibition. The diphenylether inhibitor SKTS1 which was originally designed to target the ENR’s of Staphylococcus aureus was also crystallized in InhA, the ENR of Mycobacterium tuberculosis (TB). Crystal structures indicate a change of the inhibitor's tautomeric form. This subject was investigated via MD simulations. Results of these simulations confirmed the tautomerization of the inhibitor.
This work also deals with the development of a covalent inhibitor originating from a non-covalent ligand. The target FadA5 is an essential enzyme for the degradation of steroids in TB and is responsible for chronic tuberculosis. This enzyme was crystallized in complex with a non-covalent ligand which served as starting point for this study. Computations on QM or QM/MM level and docking and MD simulations have been applied to evaluate potential candidates.
The next chapter focuses on the modification of the product spectrum of Bacillus megaterium levansucrase, a polymerase which catalyzes the biosynthesis of fructans. The covalent modification of the wild type or mutants of the enzyme lead to an accumulation of oligosaccharides but also to polymers with higher polymerization degree. To understand these changes in product spectra MD simulations have been performed.
Finally, the proton transfer in catalytic cysteine histidine dyads was investigated. The focus was set on the influence of the relaxation of the protein environment to the reaction. Calculations of the enzymes FadA5 and rhodesain revealed that the preferred protonation state of the dyade depends on the protein environment and has an impact on the reaction barrier. Furthermore, the adaptation of the environment to a fixed protonation state was analyzed via MD simulations.
The Role of Attentional Control and Fear Acquisition and Generalization in Social Anxiety Disorder
(2020)
Although Social Anxiety Disorder (SAD) is one of the most prevalent mental disorders, still little is known about its development and maintenance. Cognitive models assume that deviations in attentional as well as associative learning processes play a role in the etiology of SAD. Amongst others, deficits in inhibitory attentional control as well as aberrations during fear generalization, which have already been observed in other anxiety disorders, are two candidate mechanisms that might contribute to the onset and retention of SAD. However, a review of the literature shows that there is a lack of research relating to these topics. Thus, the aim of the present thesis was to examine in which way individuals with SAD differ from healthy controls regarding attentional control and generalization of acquired fear during the processing of social stimuli.
Study 1 tested whether impairment in the inhibitory control of attention is a feature of SAD, and how it might be influenced by emotional expression and gaze direction of an interactional partner. For this purpose, individuals with SAD and healthy controls (HC) participated in an antisaccade task with faces displaying different emotional expressions (angry, neutral and happy) and gaze directions (direct and averted) serving as target stimuli. While the participants performed either pro- or antisaccades in response to the peripherally presented faces, their gaze behavior was recorded via eye-tracking, and ratings of valence and arousal were obtained. Results revealed that both groups showed prolonged latencies and increased error rates in trials with correct anti- compared to prosaccades. However, there were no differences between groups with regard to response latency or error rates, indicating that SAD patients did not exhibit impairment on inhibitory attentional control in comparison to HC during eye-tracking. Possible explanations for this finding could be that reduced inhibitory attentional control in SAD only occurs under certain circumstances, for example, when these individuals currently run the risk of being negatively evaluated by others and not in the mere presence of phobic stimuli, or when the cognitive load of a task is so high that it cannot be unwound by compensatory strategies, such as putting more effort into a task.
As not only deviations in attentional, but also associative learning processes might be pathogenic markers of SAD, these mechanisms were further addressed in the following experiments. Study 2 is the first that attempted to investigate the generalization of conditioned fear in patients with SAD. To this end, patients with SAD and HC were conditioned to two neutral female faces serving as conditioned stimuli (CS+: reinforced; CS-: non-reinforced) and a fearful face paired with a loud scream serving as unconditioned stimulus (US). Fear generalization was tested by presenting morphs of the two faces (GS: generalization stimuli), which varied in their similarity to the original faces. During the whole experiment, self-report ratings, heart rate (HR) and skin conductance responses (SCR) were recorded. Results demonstrated that SAD patients rated all stimuli as less pleasant and more arousing, and overestimated the occurrence of the US compared to HC, indicating a general hyperarousal in individuals with SAD. In addition, ratings and SCR indicated that both groups generalized their acquired fear from the CS+ to intermediate GSs as a function of their similarity to the CS+. However, except for the HR data, which indicated that only SAD patients but not HC displayed a generalization response in this measure, most of the results did not support the hypothesis that SAD is characterized by overgeneralization. A plausible reason for this finding could be that overgeneralization is just a key characteristic of some anxiety disorders and SAD is not one of them. Still, other factors, such as comorbidities in the individuals with SAD, could also have had an influence on the results, which is why overgeneralization was further examined in study 3.
The aim of study 3 was to investigate fear generalization on a neuronal level. Hence, high (HSA) and low socially anxious participants (LSA) underwent a conditioning paradigm, which was an adaption of the experimental design used study 2 for EEG. During the experiment, steady-state visually evoked potentials (ssVEPs) and ratings of valence and arousal were recorded. Analyses revealed significant generalization gradients in all ratings with highest fear responses to the CS+ and a progressive decline of these reactions with increasing similarity to the CS-. In contrast, the generalization gradient on a neuronal level showed highest amplitudes for the CS+ and a reduction in amplitude to the most proximal, but not distal GSs in the ssVEP signal, which might be interpreted as lateral inhibition in the visual cortex. The observed dissociation among explicit and implicit measures points to different functions of behavioral and sensory cortical processes during fear generalization: While the ratings might reflect an individual’s consciously increased readiness to react to threat, the lateral inhibition pattern in the occipital cortex might serve to maximize the contrast among stimuli with and without affective value and thereby improve adaptive behavior. As no group differences could be observed, the finding of study 2 that overgeneralization does not seem to be a marker of SAD is further consolidated.
In sum, the conducted experiments suggest that individuals with SAD are characterized by a general hyperarousal during the exposition to disorder-relevant stimuli as indicated by enhanced arousal and reduced valence ratings of the stimuli compared to HC. However, the hypotheses that reduced inhibitory attentional control and overgeneralization of conditioned fear are markers of SAD were mostly not confirmed. Further research is required to elucidate whether they only occur under certain circumstances, such as high cognitive load (e.g. handling two tasks simultaneously) or social stress (e.g. before giving a speech), or whether they are not characteristics of SAD at all. With the help of these findings, new interventions for the treatment of SAD can be developed, such as attentional bias modification or discrimination learning.
This cumulative dissertation is organized as follows:
After the introduction, the second chapter, based on “Asymptotic independence of bivariate order statistics” (2017) by Falk and Wisheckel, is an investigation of the asymptotic dependence behavior of the components of bivariate order statistics. We find that the two components of the order statistics become asymptotically independent for certain combinations of (sequences of) indices that are selected, and it turns out that no further assumptions on the dependence of the two components in the underlying sample are necessary. To establish this, an explicit representation of the conditional distribution of bivariate order statistics is derived.
Chapter 3 is from “Conditional tail independence in archimedean copula models” (2019) by Falk, Padoan and Wisheckel and deals with the conditional distribution of an Archimedean copula, conditioned on one of its components. We show that its tails are independent under minor conditions on the generator function, even if the unconditional tails were dependent. The theoretical findings are underlined by a simulation study and can be generalized to Archimax copulas.
“Generalized pareto copulas: A key to multivariate extremes” (2019) by Falk, Padoan and Wisheckel lead to Chapter 4 where we introduce a nonparametric approach to estimate the probability that a random vector exceeds a fixed threshold if it follows a Generalized Pareto copula. To this end, some theory underlying the concept of Generalized Pareto distributions is presented first, the estimation procedure is tested using a simulation and finally applied to a dataset of air pollution parameters in Milan, Italy, from 2002 until 2017.
The fifth chapter collects some additional results on derivatives of D-norms, in particular a condition for the existence of directional derivatives, and multivariate spacings, specifically an explicit formula for the second-to-last bivariate spacing.
The AdS/CFT correspondence is an explicit realization of the holographic principle. It describes a field theory living on the boundary of a volume by a gravitational theory living in the interior and vice-versa. With its origins in string theory, the correspondence incorporates an explicit relationship between the degrees of freedom of both theories: the AdS/CFT dictionary. One astonishing aspect of the AdS/CFT correspondence is the emergence of geometry from field theory.
On the gravity side, a natural way to probe the geometry is to study boundary-anchored extremal surfaces of different dimensionality. While there is no unified way to determine the field theory dual for such non-local quantities, the AdS/CFT dictionary contains entries for surfaces of certain dimensionality: it relates two-point functions to geodesics, the Wilson loop expectation value to two-dimensional surfaces and the entanglement entropy, i.e. a measure for entanglement between states in a region and in its complement, to co-dimension two surfaces in the bulk.
In this dissertation, we calculate these observables for gravity setups dual to thermal states in the field theory. The geometric dual is given by AdS Schwarzschild black holes in general dimensions. We find analytic results for minimal areas in this setup. One focus of our analysis is the high-temperature limit. The leading and subleading term in this limit have diverse interpretation for the different observables. For example, the subleading term of the entanglement entropy satisfies a c-theorem for renormalization flows and gives insights into the number of effective degrees of freedom.
The entanglement entropy emerged as the favorable way to probe the geometric dual. In addition to the extremal bulk surface, the holographic entanglement entropy associates a bulk region to the considered boundary region. The volume of this region is conjectured to be a measure of complexity, i.e. a measure of how difficult it is to obtain the corresponding field-theory state. Building on our aforementioned results for the entanglement entropy, we study this complexity for AdS Schwarzschild black holes in general dimensions.
In particular, we draw conclusions on how efficient holography encodes the field theory and compare these results to MERA tensor networks, a numerical tool to study quantum many-body systems.
Moreover, we holographically study the complexity of pure states. This sheds light on the notion of complexity in field theories. We calculate the complexity for a simple, calculable example: states obtained by conformal transformations of the vacuum state in AdS3/CFT2. In this lower-dimensional realization of AdS/CFT, the conformal group is infinite dimensional. We construct a continuous space of states with the same complexity as the vacuum state. Furthermore, we determine the change of complexity caused by small conformal transformation. The field-theory operator implementing this transformation is known and allows to compare the holographic results to field theory expectations.
Availability of water and desiccation of important water reservoirs is a vital challenge in semi-arid to arid climates with growing economy and population. Low quantities of precipitation and high evaporation rates leave the water supply vulnerable to human activity and climatic variations. Endorheic basins of Northern Iran were hydrologically landlocked within geological timescales and thus bear evidence of past variations of water resources in generations of water related landforms, like abandoned lake level shorelines, alluvial fans and stream terraces. Understanding the development of these landforms reveals crucial information about past water reservoirs and landscape history.
This study offers a comprehensive approach on understanding the geomorphological development of the landscape throughout Late Pleistocene and Holocene times. It integrates remote sensing and geographic information system analysis, with geomorphological and stratigraphical mapping fieldwork and detailed sedimentological investigations.
The work shows the importance of analytical geomorphological mapping for delineating stratigraphic units of the Iranian Quaternary. Thus, several phases of drying and lake level retreat were identified in parallel geoarchives and could be dated to a time span from today to Late Pleistocene. The findings link the fate of the citizens of the ancient city of "Tepe Hissar" to their access to water and to the power of geomorphological processes, which started changing their environment.
Sexually reproducing organisms depend on meiosis for the generation of haploid, genetically diverse gametes to maintain genome stability and the potential to adapt to changing environments. Haploidization is achieved through two successive rounds of cell division after a single initial pre-meiotic DNA replication. Meiosis I segregates the homologous chromosomes, followed by the segregation of the sister chromatids in meiosis II. Genetic diversity is achieved through the process of recombination that de-scribes the exchange of genetic material between the maternal and paternal homolog. Recombination and the initial steps of haploidization are executed already early on in prophase I. Both essential processes depend on a variety of multiprotein complexes, such as the linker of nucleo- and cytoplasm (LINC) complex and the synaptonemal complex (SC). The structure of multiprotein complexes is adjusted according to their function, environment, and the forces they are subjected to. Coiled-coil domains typical in load-bearing proteins characterize the meiotic mechanotransducing LINC complexes. SCs resemble ladder-like structures that are highly conserved amongst eukaryotes, while the primary sequence of the proteins that form the complex display very little if any sequence homology. Despite the apparent significance of the structure to their function, little quantitative and topological data existed on the LINC complexes and the SC within their morphological context prior to the present work. Here, the molecular architecture of the meiotic telomere attachment site where LINC complexes reside and the SC have been analyzed in depth, mainly on the basis of electron microscope tomography derived 3D models complemented by super-resolution light microscopic acquisitions of the respective protein components.
Complex formation between macromolecules constitutes the foundation of most cellular processes. Most known complexes are made up of two or more proteins interacting in order to build a functional entity and therefore enabling activities which
the single proteins could otherwise not fulfill. With the increasing knowledge about
noncoding RNAs (ncRNAs) it has become evident that, similar to proteins, many of
them also need to form a complex to be functional. This functionalization is usually executed by specific or global RNA-binding proteins (RBPs) that are specialized
binders of a certain class of ncRNAs. For instance, the enterobacterial global RBPs
Hfq and ProQ together bind >80 % of the known small regulatory RNAs (sRNAs),
a class of ncRNAs involved in post-transcriptional regulation of gene expression.
However, identification of RNA-protein interactions so far was performed individually by employing low-throughput biochemical methods and thereby hindered the discovery of such interactions, especially in less studied organisms such
as Gram-positive bacteria. Using gradient profiling by sequencing (Grad-seq), the
present thesis aimed to establish high-throughput, global RNA/protein complexome resources for Escherichia coli and Streptococcus pneumoniae in order to provide a
new way to investigate RNA-protein as well as protein-protein interactions in these
two important model organisms.
In E. coli, Grad-seq revealed the sedimentation profiles of 4,095 (∼85 % of
total) transcripts and 2,145 (∼49 % of total) proteins and with that reproduced
its major ribonucleoprotein particles. Detailed analysis of the in-gradient distribution of the RNA and protein content uncovered two functionally unknown
molecules—the ncRNA RyeG and the small protein YggL—to be ribosomeassociated. Characterization of RyeG revealed it to encode for a 48 aa long, toxic protein that drastically increases lag times when overexpressed. YggL was shown to
be bound by the 50S subunit of the 70S ribosome, possibly indicating involvement
of YggL in ribosome biogenesis or translation of specific mRNAs.
S. pneumoniae Grad-seq detected 2,240 (∼88 % of total) transcripts and 1,301
(∼62 % of total) proteins, whose gradient migration patterns were successfully reconstructed, and thereby represents the first RNA/protein complexome resource
of a Gram-positive organism. The dataset readily verified many conserved major
complexes for the first time in S. pneumoniae and led to the discovery of a specific
interaction between the 3’!5’ exonuclease Cbf1 and the competence-regulating ciadependent sRNAs (csRNAs). Unexpectedly, trimming of the csRNAs by Cbf1 stabilized the former, thereby promoting their inhibitory function. cbf1 was further shown
to be part of the late competence genes and as such to act as a negative regulator of
competence.
In this dissertation, we develop and analyze novel optimizing feedback laws for control-affine systems with real-valued state-dependent output (or objective) functions. Given a control-affine system, our goal is to derive an output-feedback law that asymptotically stabilizes the closed-loop system around states at which the output function attains a minimum value. The control strategy has to be designed in such a way that an implementation only requires real-time measurements of the output value. Additional information, like the current system state or the gradient vector of the output function, is not assumed to be known. A method that meets all these criteria is called an extremum seeking control law. We follow a recently established approach to extremum seeking control, which is based on approximations of Lie brackets. For this purpose, the measured output is modulated by suitable highly oscillatory signals and is then fed back into the system. Averaging techniques for control-affine systems with highly oscillatory inputs reveal that the closed-loop system is driven, at least approximately, into the directions of certain Lie brackets. A suitable design of the control law ensures that these Lie brackets point into descent directions of the output function. Under suitable assumptions, this method leads to the effect that minima of the output function are practically uniformly asymptotically stable for the closed-loop system. The present document extends and improves this approach in various ways.
One of the novelties is a control strategy that does not only lead to practical asymptotic stability, but in fact to asymptotic and even exponential stability. In this context, we focus on the application of distance-based formation control in autonomous multi-agent system in which only distance measurements are available. This means that the target formations as well as the sensed variables are determined by distances. We propose a fully distributed control law, which only involves distance measurements for each individual agent to stabilize a desired formation shape, while a storage of measured data is not required. The approach is applicable to point agents in the Euclidean space of arbitrary (but finite) dimension. Under the assumption of infinitesimal rigidity of the target formations, we show that the proposed control law induces local uniform asymptotic (and even exponential) stability. A similar statement is also derived for nonholonomic unicycle agents with all-to-all communication. We also show how the findings can be used to solve extremum seeking control problems.
Another contribution is an extremum seeking control law with an adaptive dither signal. We present an output-feedback law that steers a fully actuated control-affine system with general drift vector field to a minimum of the output function. A key novelty of the approach is an adaptive choice of the frequency parameter. In this way, the task of determining a sufficiently large frequency parameter becomes obsolete. The adaptive choice of the frequency parameter also prevents finite escape times in the presence of a drift. The proposed control law does not only lead to convergence into a neighborhood of a minimum, but leads to exact convergence. For the case of an output function with a global minimum and no other critical point, we prove global convergence.
Finally, we present an extremum seeking control law for a class of nonholonomic systems. A detailed averaging analysis reveals that the closed-loop system is driven approximately into descent directions of the output function along Lie brackets of the control vector fields. Those descent directions also originate from an approximation of suitably chosen Lie brackets. This requires a two-fold approximation of Lie brackets on different time scales. The proposed method can lead to practical asymptotic stability even if the control vector fields do not span the entire tangent space. It suffices instead that the tangent space is spanned by the elements in the Lie algebra generated by the control vector fields. This novel feature extends extremum seeking by Lie bracket approximations from the class of fully actuated systems to a larger class of nonholonomic systems.
The subject of this thesis is the fabrication and characterization of magnetic topological
insulator layers of (V,Bi,Sb)\(_2\)Te\(_3\) exhibiting the quantum anomalous Hall
effect. A major task was the experimental realization of the quantum anomalous
Hall effect, which is only observed in layers with very specific structural,
electronic and magnetic properties. These properties and their influence on the
quantum anomalous Hall effect are analyzed in detail.
First, the optimal conditions for the growth of pure Bi\(_2\)Te\(_3\) and Sb\(_2\)Te\(_3\) crystal
layers and the resulting structural quality are studied. The crystalline quality of
Bi\(_2\)Te\(_3\) improves significantly at higher growth temperatures resulting in a small
mosaicity-tilt and reduced twinning defects. The optimal growth temperature is
determined as 260\(^{\circ}\)C, low enough to avoid desorption while maintaining a high
crystalline quality.
The crystalline quality of Sb\(_2\)Te\(_3\) is less dependent on the growth temperature.
Temperatures below 230\(^{\circ}\)C are necessary to avoid significant material desorption,
though. Especially for the nucleation on Si(111)-H, a low sticking coefficient is
observed preventing the coalescence of islands into a homogeneous layer.
The influence of the substrate type, miscut and annealing sequence on the growth
of Bi\(_2\)Te\(_3\) layers is investigated. The alignment of the layer changes depending on
the miscut angle and annealing sequence: Typically, layer planes align parallel to
the Si(111) planes. This can enhance the twin suppression due to transfer of the
stacking order from the substrate to the layer at step edges, but results in a step
bunched layer morphology. For specific substrate preparations, however, the layer
planes are observed to align parallel to the surface plane. This alignment avoids
displacement at the step edges, which would cause anti-phase domains. This results
in narrow Bragg peaks in XRD rocking curve scans due to long-range order in
the absence of anti-phase domains. Furthermore, the use of rough Fe:InP(111):B
substrates leads to a strong reduction of twinning defects and a significantly reduced
mosaicity-twist due to the smaller lattice mismatch.
Next, the magnetically doped mixed compound V\(_z\)(Bi\(_{1−x}\)Sb\(_x\))\(_{2−z}\)Te\(_3\) is studied in
order to realize the quantum anomalous Hall effect. The addition of V and Bi to
Sb\(_2\)Te\(_3\) leads to efficient nucleation on the Si(111)-H surface and a closed, homogeneous
layer. Magneto-transport measurements of layers reveal a finite anomalous
Hall resistivity significantly below the von Klitzing constant. The observation of
the quantum anomalous Hall effect requires the complete suppression of parasitic
bulklike conduction due to defect induced carriers. This can be achieved by optimizing
the thickness, composition and growth conditions of the layers.
The growth temperature is observed to strongly influence the structural quality.
Elevated temperatures result in bigger islands, improved crystallographic orientation
and reduced twinning. On the other hand, desorption of primarily Sb is
observed, affecting the thickness, composition and reproducibility of the layers.
At 190\(^{\circ}\)C, desorption is avoided enabling precise control of layer thickness and
composition of the quaternary compound while maintaining a high structural
quality.
It is especially important to optimize the Bi/Sb ratio in the (V,Bi,Sb)\(_2\)Te\(_3\) layers,
since by alloying n-type Bi\(_2\)Te\(_3\) and p-type Sb\(_2\)Te\(_3\) charge neutrality is achieved at
a specific mixing ratio. This is necessary to shift the Fermi level into the magnetic
exchange gap and fully suppress the bulk conduction. The Sb content x furthermore
influences the in-plane lattice constant a significantly. This is utilized to
accurately determine x even for thin films below 10 nm thickness required for the
quantum anomalous Hall effect. Furthermore, x strongly influences the surface
morphology: with increasing x the island size decreases and the RMS roughness
increases by up to a factor of 4 between x = 0 and x = 1.
A series of samples with x varied between 0.56-0.95 is grown, while carefully
maintaining a constant thickness of 9 nm and a doping concentration of 2 at.% V.
Magneto-transport measurements reveal the charge neutral point around x = 0.86
at 4.2 K. The maximum of the anomalous Hall resistivity of 0.44 h/e\(^2\) is observed
at x = 0.77 close to charge neutrality. Reducing the measurement temperature
to 50 mK significantly increases the anomalous Hall resistivity. Several samples
in a narrow range of x between 0.76-0.79 show the quantum anomalous Hall effect
with the Hall resistivity reaching the von Klitzing constant and a vanishing
longitudinal resistivity. Having realized the quantum anomalous Hall effect as the
first group in Europe, this breakthrough enabled us to study the electronic and
magnetic properties of the samples in close collaborations with other groups.
In collaboration with the Physikalisch-Technische Bundesanstalt high-precision
measurements were conducted with detailed error analysis yielding a relative de-
viation from the von Klitzing constant of (0.17 \(\pm\) 0.25) * 10\(^{−6}\). This is published
as the smallest, most precise value at that time, proving the high quality of the
provided samples. This result paves the way for the application of magnetic topological
insulators as zero-field resistance standards.
Non-local magneto-transport measurements were conducted at 15 mK in close
collaboration with the transport group in EP3. The results prove that transport
happens through chiral edge channels. The detailed analysis of small anomalies in
transport measurements reveals instabilities in the magnetic phase even at 15 mK.
Their time dependent nature indicates the presence of superparamagnetic contributions
in the nominally ferromagnetic phase.
Next, the influence of the capping layer and the substrate type on structural properties
and the impact on the quantum anomalous Hall effect is investigated. To
this end, a layer was grown on a semi-insulating Fe:InP(111)B substrate using the
previously optimized growth conditions. The crystalline quality is improved significantly
with the mosaicity twist reduced from 5.4\(^{\circ}\) to 1.0\(^{\circ}\). Furthermore, a layer
without protective capping layer was grown on Si and studied after providing sufficient
time for degradation. The uncapped layer on Si shows perfect quantization,
while the layer on InP deviates by about 5%. This may be caused by the higher
crystalline quality, but variations in e.g. Sb content cannot be ruled out as the
cause. Overall, the quantum anomalous Hall effect seems robust against changes
in substrate and capping layer with only little deviations.
Furthermore, the dependence of the quantum anomalous Hall effect on the thickness
of the layers is investigated. Between 5-8 nm thickness the material typically
transitions from a 2D topological insulator with hybridized top and bottom surface
states to a 3D topological insulator. A set of samples with 6 nm, 8 nm, and
9 nm thickness exhibits the quantum anomalous Hall effect, while 5 nm and 15 nm
thick layers show significant bulk contributions. The analysis of the longitudinal
and Hall conductivity during the reversal of magnetization reveals distinct differences
between different thicknesses. The 6 nm thick layer shows scaling consistent
with the integer quantum Hall effect, while the 9 nm thick layer shows scaling expected
for the topological surface states of a 3D topological insulator. The unique
scaling of the 9 nm thick layer is of particular interest as it may be a result of
axion electrodynamics in a 3D topological insulator.
Subsequently, the influence of V doping on the structural and magnetic properties
of the host material is studied systematically. Similarly to Bi alloying, increased
V doping seems to flatten the layer surface significantly. With increasing V content,
Te bonding partners are observed to increase simultaneously in a 2:3 ratio
as expected for V incorporation on group-V sites. The linear contraction of the
in-plane and out-of-plane lattice constants with increasing V doping is quantitatively
consistent with the incorporation of V\(^{3+}\) ions, possibly mixed with V\(^{4+}\)
ions, at the group-V sites. This is consistent with SQUID measurements showing
a magnetization of 1.3 \(\mu_B\) per V ion.
Finally, magnetically doped topological insulator heterostructures are fabricated
and studied in magneto-transport. Trilayer heterostructures with a non-magnetic
(Bi,Sb)\(_2\)Te\(_3\) layer sandwiched between two magnetically doped layers are predicted
to host the axion insulator state if the two magnetic layers are decoupled and in
antiparallel configuration. Magneto-transport measurements of such a trilayer heterostructure
with 7 nm undoped (Bi,Sb)\(_2\)Te\(_3\) between 2 nm thick layers doped with
1.5 at.% V exhibit a zero Hall plateau representing an insulating state. Similar results
in the literature were interpreted as axion insulator state, but in the absence
of a measurement showing the antiparallel magnetic orientation other explanations
for the insulating state cannot be ruled out.
Furthermore, heterostructures including a 2 nm thin, highly V doped layer region
show an anomalous Hall effect of opposite sign compared to previous samples. A
dependency on the thickness and position of the doped layer region is observed,
which indicates that scattering at the interfaces causes contributions to the anomalous
Hall effect of opposite sign compared to bulk scattering effects.
Many interesting phenomena in quantum anomalous Hall insulators as well as axion
insulators are still not unambiguously observed. This includes Majorana bound
states in quantum anomalous Hall insulator/superconductor hybrid systems and
the topological magneto-electric effect in axion insulators. The limited observation
temperature of the quantum anomalous Hall effect of below 1 K could be increased
in 3D topological insulator/magnetic insulator heterostructures which utilize the
magnetic proximity effect.
The main achievement of this thesis is the reproducible growth and characterization
of (V,Bi,Sb)2Te3 layers exhibiting the quantum anomalous Hall effect. The
detailed study of the structural requirements of the quantum anomalous Hall effect
and the observation of the unique axionic scaling behavior in 3D magnetic
topological insulator layers leads to a better understanding of the nature of this
new quantum state. The high-precision measurements of the quantum anomalous
Hall effect reporting the smallest deviation from the von Klitzing constant
are an important step towards the realization of a zero-field quantum resistance
standard.
In the context of this work, important trends in the influence of the metal center, coligand, and alkyne reaction partner on the iClick reaction of square-planar palladium(II) and platinum(II) complexes with a N^N^N, C^N^N, or S^N^N coordination sphere and a number of internal as well as terminal alkynes were elaborated. Preliminary bioactivity studies on a human cancer cell line gave low micromolar EC50 values, for the most promising compound comparable to cisplatin serving as a reference drug. The further application of the iClick reaction to bioconjugation will be explored in future work.
Platelet activation and aggregation at sites of vascular injury involves massive cytoskeletal re-organization, which is required for proper platelet function. Moreover, the cytoskeleton plays central roles in megakaryo- and thrombopoiesis. Thus, cytoskeletal protein aberrations can be the underlying reason for many pathological phenotypes. Although intensive research is carried out to identify the key players involved in cytoskeletal reorganization, the signaling cascades orchestrating these complex processes are still poorly understood. This thesis investigates the role of three actin-binding proteins, Coactosin-like (Cotl) 1, Profilin (Pfn) 1 and Thymosin (T) β4, in platelet formation and function using genetically modified mice.
ADF-H-containing proteins such as Twinfilin or Cofilin are well characterized as regulators of thrombopoesis and cytoskeletal reorganization. Although Cotl1 belongs to the ADF-H protein family, lack of Cotl1 did not affect platelet count or cytoskeletal dynamics. However, Cotl1-deficiency resulted in significant protection from arterial thrombus formation and ischemic stroke in vivo. Defective GPIb-vWF interactions and altered second wave mediator release present potential reasons for the beneficial effect of Cotl1-deficiency. These results reveal an unexpected function of Cotl1 as a regulator of thrombosis and hemostasis, establishing it as a potential target for a safe therapeutic therapy to prevent arterial thrombosis or ischemic stroke.
Recent studies showed that the organization of the circumferential actin cytoskeleton modulates calpain-mediated αIIbβ3 integrin closure, thereby also controlling αIIbβ3 integrin localization. The second part of this thesis identified the actin-sequestering protein Pfn1 as a central regulator of platelet integrin function as Pfn1-deficient platelets displayed almost abolished αIIbβ3 integrin signaling. This translated into a profound protection from arterial thrombus formation and prolonged tail bleeding times in vivo which was caused by enhanced calpain-dependent integrin closure. These findings further emphasize the importance of a functional actin cytoskeleton for intact platelet function in vitro and in vivo.
Tβ4 is a moonlighting protein, acting as one of the major actin-sequestering proteins in cells of higher eukaryotes and exerting various paracrine functions including anti-inflammatory, immunomodulatory and pro-angiogenic effects. Although excessively studied, its role for cytoskeletal dynamics, the distinction between endo- and exogenous protein function and its uptake and release mechanisms are still poorly understood. Constitutive Tβ4-deficiency resulted in thrombocytopenia accompanied by a largely diminished G-actin pool in platelets and divergent effects on platelet reactivity. Pre-incubation of platelets with recombinant Tβ4 will help to understand the function of endo- and exogenous protein, which is under current investigation.
Accounting plays an essential role in solving the principal-agent problem between managers and shareholders of capital market-oriented companies through the provision of information by the manager. However, this can succeed only if the accounting information is of high quality. In this context, the perceptions of shareholders regarding earnings quality are of particular importance.
The present dissertation intends to contribute to a deeper understanding regarding earnings quality from the perspective of shareholders of capital market-oriented companies. In particular, the thesis deals with indicators of shareholders’ perceptions of earnings quality, the influence of the auditor’s independence on these perceptions, and the shareholders’ assessment of the importance of earnings quality in general. Therefore, this dissertation examines market reactions to earnings announcements, measures of earnings quality and the auditor’s independence, as well as shareholders’ voting behavior at annual general meetings.
Following the introduction and a theoretical part consisting of two chapters, which deal with the purposes of accounting and auditing as well as the relevance of shareholder voting at the annual general meeting in the context of the principal-agent theory, the dissertation presents three empirical studies.
The empirical study presented in chapter 4 investigates auditor ratification votes in a U.S. setting. The study addresses the question of whether the results of auditor ratification votes are informative regarding shareholders’ perceptions of earnings quality. Using a returns-earnings design, the study demonstrates that the results of auditor ratification votes are associated with market reactions to unexpected earnings at the earnings announcement date. Furthermore, there are indications that this association seems to be positively related to higher levels of information asymmetry between managers and shareholders. Thus, there is empirical support for the notion that the results of auditor ratification votes are earnings-related information that might help shareholders to make informed investment decisions.
Chapter 5 investigates the relation between the economic importance of the client and perceived earnings quality. In particular, it is examined whether and when shareholders have a negative perception of an auditor’s economic dependence on the client. The results from a Big 4 client sample in the U.S. (fiscal years 2010 through 2014) indicate a negative association between the economic importance of the client and shareholders’ perceptions of earnings quality. The results are interpreted to mean that shareholders are still concerned about auditor independence even ten years after the implementation of the Sarbanes-Oxley Act. Furthermore, the association between the economic importance of the client and shareholders’ perceptions of earnings quality applies predominantly to the subsample of clients that are more likely to be financially distressed. Therefore, the empirical results reveal that shareholders’ perceptions of auditor independence are conditional on the client’s circumstances.
The study presented in chapter 6 sheds light on the question of whether earnings quality influences shareholders’ satisfaction with the members of the company’s board. Using data from 1,237 annual general meetings of German listed companies from 2010 through 2015, the study provides evidence that earnings quality – measured by the absolute value of discretionary accruals – is related to shareholders’ satisfaction with the company’s board. Moreover, the findings imply that shareholders predominantly blame the management board for inferior earnings quality. Overall, the evidence that earnings quality positively influences shareholders’ satisfaction emphasizes the relevance of earnings quality.
We are living in a system that underlies permanent environmental changes due to the rotation of our planet. These changes are rhythmic with the most prominent one having a period of about 24 hours, but also shorter and longer rhythms characterize our environment. To cope with the ever-changing environmental conditions, it is thought to be beneficial if an organism can track and anticipate these changes. The so called endogenous clocks enable this and might provide a fitness advantage. To investigate and unravel the mechanism of endogenous clocks Chronobiologists have used different model organisms. In this thesis Drosophila melanogaster was used as model organism with its about 150 clock neurons representing the main endogenous clock of the fly in the central brain.
The molecular mechanisms and the interlocked feedback loops with the main circadian key players like period, timeless, clock or cycle are under investigation since the 1970s and are characterized quite well so far. But the impact of a functional endogenous clock in combination with diverse factors and the resulting fitness advantages were analysed in only a few studies and remains for the most part unknown. Therefore the aim of this thesis was to unravel the impact of Drosophila melanogaster`s endogenous clock on the fitness of the fly. To achieve this goal different factors – like day length, humidity and food composition – were analyzed in wild type CS and three different period mutants, namely perL, perS and per01, that carry a point mutation altering or abolishing the free-running period of the fruit fly as well as a second arrhythmic strain, clkAR.
In competition assay experiments wild type and clock mutant flies competed for up to 63 generations under a normal 24 hour rhythm with 12 hours light/day and 12 hours darkness/night (LD12:12) or T-cycles with 19 or 29 hours, according to the mutants free-running period, or constant light (LL) in case of the arrhythmic mutant as well as under natural-like outdoor conditions in two consecutive years. Overall the wild type CS strain was outcompeting the clock mutant strains independent of the environmental conditions. As the perL fly strain elongated their free-running period, the competition experiments were repeated with naturally cantonized new fly strains. With these experiments it could be shown that the genetic background of the fly strains – which are kept for decades in the lab, with backcrosses every few years – is very important and influences the fitness of flies. But also the day length impacts the fitness of the flies, enabling them to persist in higher percentage in a population under competition. Further factors that might influence the survival in a competing population were investigated, like e.g. mating preferences and locomotor activity of homo- and heterozygous females or sperm number of males transferred per mating. But these factors can still not explain the results in total and play no or only minor roles and show the complexity of the whole system with still unknown characteristics.
Furthermore populations of flies were recorded to see if the flies exhibit a common locomotor activity pattern or not and indeed a population activity pattern could be recorded for the first time and social contact as a Zeitgeber could be verified for Drosophila melanogaster.
In addition humidity and its impact on the flies´ fitness as well as a potential Zeitgeber was examined in this thesis. The flies experienced different relative humidities for eclosion and wing expansion and humidity cycle phase shifting experiments were performed to address these two different questions of fitness impact and potential Zeitgeber. The fruit fly usually ecloses in the morning hours when the relative humidity is quite high and the general assumption was that they do so to prevent desiccation. The results of this thesis were quite clear and demonstrate that the relative humidity has no great effect on the fitness of the flies according to successful eclosion or wing expansion and that temperature might be the more important factor. In the humidity cycle phase shifting experiments it could be revealed that relative humidity cannot act as a Zeitgeber for Drosophila melanogaster, but it influences and therefore masks the activity of flies by allowing or surpressing activity at specific relative humidity values.
As final experiments the lifespan of wild type and clock mutant flies was investigated under different day length and with different food qualities to unravel the impact of these factors on the fitness and therefore survival of the flies on the long run. As expected the flies with nutrient-poor minimum medium died earlier than on the nutrient-rich maximum medium, but a small effect of day length could also be seen with flies living slightly longer when they experience environmental day length conditions resembling their free-running period. The experiments also showed a fitness advantage of the wild type fly strain against the clock mutant strains for long term, but not short term (about the first 2-3 weeks).
As a conclusion it can be said that genetic variation is important to be able to adapt to changing environmental conditions and to optimize fitness and therefore survival. Having a functional endogenous clock with a free-running period of about 24 hours provides fitness advantages for the fruit fly, at least under competition. The whole system is very complex and many factors – known and unknown ones – play a role in this system by interacting on different levels, e.g. physiology, metabolism and/or behavior.
Chapter 1
Thermally activated delayed fluorescence (TADF) materials provide a strategy to improve external quantum efficiencies of organic light emitting diodes (OLEDs). Because of spin-statistics, 25% singlet and 75% triplet excitons are generated in an electronic device. Conventional organic emitters cannot harvest the triplet excitons, due to low spin orbit coupling, and exhibit low external quantum efficiencies. TADF materials have to be designed in such a way, that the energy gap between the lowest singlet and triplet states (ΔES-T) is sufficiently small to allow reverse intersystem crossing (rISC) in organic systems. An established structure property relationship for the generation of TADF materials is the spatial separation of HOMO and LUMO via an orthogonal arrangement of donor and acceptor in donor-π-acceptor (D-π-A) compounds. This is achieved by increasing the steric bulk of the π-bridge. However, this is not always the most efficient method and electronic parameters have to be considered. In a combined experimental and theoretical study, a computational protocol to predict the excited states in D-π-A compounds containing the B(FXyl)2 (FXyl = 2,6-bis(trifluoromethyl)phenyl) acceptor group for the design of new TADF emitters is presented. To this end, the effect of different donor and π-bridge moieties on the energy gaps between local and charge-transfer singlet and triplet states was examined. To prove the computationally aided design concept, the D-π-B(FXyl)2 compounds Cbz-π (1), Cbz-Meπ (2), Phox-Meπ (3), Phox-MeOπ (4), and MeO₃Ph-FMeπ (5) were synthesized and fully characterized. The photophysical properties of these compounds in various solvents, polymeric film and in a frozen matrix were investigated in detail and show excellent agreement with the computationally obtained data (Figure 5.1). A simple structure-property relationship based on the molecular fragment orbitals of the donor and the π-bridge which minimize the relevant singlet-triplet gaps to achieve efficient TADF emitters is presented.
Chapter 2
Three-coordinate boron is widely used as an acceptor in conjugated materials. In recent years the employment of trifluoromethylated aryls was shown to improve the acceptor properties of such boranes. Astonishingly, the use of ortho-trifluoromethylated aryls in boron containing systems also improves the stability of those systems in regard to their inherent reactivity towards nucleophiles. Borafluorenes are stronger acceptors than their non-annulated triarylborane derivatives. In previous studies, the effect of trifluoromethylated aryls as the exo-aryl moieties in borafluorenes, as well as the effect of fluorination on the backbone, were examined. As the latter suffers from a very low stability, systems using trifluoromethyl groups, both on the exo-aryl as well as the borafluorene backbone were designed in order to maximize both the stability as well as the acceptor strength.
Three different perfluoroalkylated borafluorenes were prepared and their electronic and photophysical properties were investigated. The systems have four trifluoromethyl moieties on the borafluorene moiety as well as two trifluoromethyl groups at the ortho positions of their exo-aryl moieties. They differ with regard to the para-substituents on their exo-aryl moieties, being a proton (FXylFBf), a trifluoromethyl group (FMesFBf) or a dimethylamino group (p NMe2-FXylFBf), respectively. Furthermore, an acetonitrile adduct of FMesFBf was obtained and characterized. All derivatives exhibit extraordinarily low reduction potentials, comparable to those of perylenediimides. The most electron deficient derivative FMesFBf was also chemically reduced and its radical anion isolated and characterized. Furthermore, the photophysical properties of all compounds were investigated. All compounds exhibit weakly allowed lowest energy absorptions and very long fluorescent lifetimes of ca. 250 ns up to 1.6 μs; however, the underlying mechanisms differ. The donor substituted derivative p-NMe2-FXylFBf exhibits thermally activated delayed fluorescence from a charge transfer (CT) state, while the FMesFBf and FXylFBf borafluorenes exhibit only weakly allowed locally excited (LE) transitions due to their symmetry and low transition dipole moments, as suggested by DFT and TD-DFT calculations.
Chapter 3
Conjugated dendrimers find wide application in various fields, such as charge transport/storage or emitter materials in organic solar cells or OLEDs. Previous studies on boron containing conjugated dendrimers are scarce and mostly employ a convergent synthesis approach, lacking a simple, generally applicable synthetic access. A new divergent approach was designed and conjugated triarylborane dendrimers were synthesized up to the 2nd generation. The synthetic strategy consists of three steps:
1) functionalization, via iridium catalyzed C–H borylation;
2) activation, via fluorination of the generated boronate ester with K[HF2] or [N(nBu)4][HF2]; and
3) expansion, via reaction of the trifluoroborate salts with aryl Grignard reagents.
The concept was also shown to be viable for a convergent approach. All but one of the conjugated borane dendrimers exhibit multiple, distinct and reversible reduction potentials, making them potentially interesting materials for applications in molecular accumulators (Figure 5.7).
Based on their photophysical properties, the 1st generation dendrimers exhibit good conjugation over the whole system. The conjugation does not further increase upon expansion to the 2nd generation, but the molar extinction coefficients increase linearly with the number of triarylborane sub-units, suggesting a potential application as photonic antennas.
Chapter 4
A surprisingly high electronically-driven regioselectivity for the iridium-catalyzed C–H borylation using [Ir(COD)OMe]2 (COD = 1,5-cyclooctadiene) as the precatalytic species, bis(pinacolato)diboron (B2pin2) as the boron source and 4,4’-ditertbutyl-2,2’-bipyridin (dtbpy) as the ligand of D-π-A systems with diphenylamino (1) or carbazolyl (2) moieties as the donor, bis(2,6-bis(trifluoromethyl)phenyl)boryl (B(FXyl)2) as the acceptor, and 1,4-phenylene as the π-bridge was observed. Under these conditions, borylation was observed only at the sterically least encumbered para-positions of the acceptor groups. As boronate esters are versatile building blocks for organic synthesis (C–C coupling, functional group transformations), the C–H borylation represents a simple potential method for post-functionalization by which electronic or other properties of D-π-A systems can be fine-tuned for specific applications. The photophysical and electrochemical properties of the borylated (1-(Bpin)2) and unborylated (1) diphenylamino-substituted D-π-A systems were investigated. Interestingly, the borylated derivative exhibits coordination of THF to the boronate ester moieties, influencing the photophysical properties and exemplifying the non-innocence of boronate esters.
Antigenic variation of surface proteins is a commonly used strategy among pathogens to evade the host immune response [63]. The mechanism underlying antigenic variation relies on monoallelic exclusion of a single gene from a hypervariable multigene family combined with repeated, systematic changes in antigen expression. In many systems, these gene families are arranged in subtelomeric contingency loci that are subject to both transcriptional repression and enhanced mutagenesis and recombination [16].
Eviction of a selected gene from a repressed antigen repertoire can be achieved e.g. by recombination into a dedicated, transcriptionally permissive site or by local epigenetic alterations in chromatin composition of the selected gene.
Both processes are ultimately affected by genome architecture. Architectural proteins controlling antigenic variation have, however, remained elusive in any pathogen.
The unicellular protozoan parasite Trypanosoma brucei evades the host immune response by periodically changing expression of a single variant surface glycoprotein (VSG) from a repertoire of ~3000 VSG genes – the largest mutually exclusively expressed gene family described today. To activate a selected VSG gene, it needs to be located in a dedicated expression site that becomes subject to relocation into a distinct, transcriptionally active subnuclear compartment, the expression site body (ESB). Whereas this emphasizes the importance of nuclear architecture in regulating antigen expression in T. brucei, the mechanisms underlying spatial positioning of DNA in T. brucei are not well understood.
In this study I applied genome-wide chromosome conformation capture (Hi-C) to obtain a comprehensive picture of the T. brucei genome in three dimensions, both in procyclic and bloodstream form parasites. Hi-C revealed a highly structured nucleus with megabase chromosomes occupying distinct chromosome territories. Further, specific trans interactions between chromosomes, among which are clusters of centromeres, rRNA genes and procyclins became apparent. With respect to antigenic variation, Hi-C revealed a striking compaction of the subtelomeric VSG gene repertoire and a strong clustering of transcriptionally repressed VSG-containing expression sites. Further, Hi-C analyses confirmed the spatial separation of the actively transcribed from the silenced expression sites in three dimensions.
I further sought to characterize architectural proteins mediating nuclear architecture in T. brucei. Whereas CTCF is absent in non-metazoans, we found cohesin to be expressed throughout the cell cycle, emphasizing a function beyond sister chromatid cohesion in S-phase.
By Chromatin-Immunoprecipitation with sequencing (ChIPseq), I found cohesin enrichment to coincide with the presence of histone H3 vari- ant (H3.V) and H4 variant (H4.V). Most importantly, cohesin and the histone variants were enriched towards the VSG gene at silent and active expression sites.
While the deletion of H3.V led to increased clustering of expression sites in three dimensions and increased chromatin accessibility at expression site promoters, the additional deletion of H4.V increased chromatin accessibility at expression sits even further.
RNAseq showed that mutually exclusive VSG expression was lost in H3.V and H4.V single and double deletion mutants. Immunofluorescence imaging of surface VSGs, flow cytometry and single-cell RNAseq revealed a progressive loss of VSG-2 expression, indicative of an increase in VSG switching rate in the H3.V/H4.V double deletion mutants. Using long-read sequencing technology, we found that VSG switching occurred via recombination and concluded, that the concomitant increase in spatial proximity and accessibility among expression sites facilitated the recombination event.
I therefore identified the histone variants H3.V and H4.V to act at the interface of global nuclear architecture and chromatin accessibility and to represent a link between genome architecture and antigenic variation.
In this study, we examined the regional grey matter density in 35 spider phobic patients and 33 age, gender and education matched healthy controls. We used a method called Voxel-Based Morphometry, which allowed us to conduct a voxel- by-voxel analysis of the entire brain. We also tried to determine if there was any relationship between the severity of fear (expressed in BAT and SPQ score) and grey matter density. Based on previous findings, we expected to find structural changes in the following brain regions:
- prefrontal cortex;
- orbitofrontal cortex;
- anterior cingulate cortex;
- insula;
- visual and associative cortices.
Between-group comparison of spider phobic patients and healthy controls yielded no significant results. Additionally, and as expected, we did not find a between- group difference in TIV. Surprisingly, however, we found several brain regions whose GMD was significantly correlated with severity of spider phobia.
The score that correlated with several regions GMD and yielded the largest cluster was the SPQ. SPQ was positively correlated with dorsal anterior cingulate, right insula and left inferior parietal lobule. Final distance in centimetres was correlated with left superior frontal gyrus and right paracentral lobule densities. All correlations were observed at a cluster level and no significant results at peak level were found. Interestingly, out of all BAT fear values, only BAT when the spider was taken away had a positive correlation with GMD (vermis). There were no indications of reduced GMD in spider phobic patients.
Overall, our regions of significance were in line of those of other structural and functional neuroimaging studies in the field of specific phobia. As expected, we found GMD changes in the prefrontal cortex, ACC, insula and the associative
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cortices. The functions of these regions such as processing of disgust, attention, autonomous responses, consolidation of memory and regulation of affect support the possible involvement of these structures in SP.
We did, however, also yield some unexpected results (vermis, right paracentral lobule). Interestingly and in contrast to other studies, our results were only limited to the phobic group itself- we found no regions of significance in the SP-HC between-group analysis.
In the future, more VBM studies with larger size of spider phobic subjects should be conducted, further investigating both the between-group differences and the correlation between spider phobia severity and GMD. Additionally, studies should investigate the relationship between structural changes and activation patterns observed in fMRI, find out whether brain changes precede the clinical symptoms or vice versa and see, if structural changes normalize in response to CBT the same way functional changes do.
Honest actions predominate human behavior. From time to time, this general preference must yield to dishonest actions, which require an effortful process of overcoming initial honest response activation. This thesis presents three experimental series to elucidate this tug-of-war between honest and dishonest response tendencies in overtly committed instances of lies, thereby joining recent efforts to move from a sheer phenomenological perspective on dishonest responding as being more difficult than honest responding to a precise description of the underlying cognitive processes. The consideration of cognitive theories, empirical evidence, and paradigms from different research fields – dishonesty, cognitive control and sensorimotor stage models of information processing – lay the groundwork for the research questions and methodological approach of this thesis.
The experiments pinpoint the underlying conflict of dishonest responding in the central, capacity-limited stage of information processing (Experiments 1 to 4), but they also demonstrate that cognitive control processes (Experiments 5 to 7) and the internalization of false alibis (Experiments 8 to 11) can reduce or even completely eliminate this conflict. The data reveals great flexibility at the cognitive basis of dishonest responding: On the one hand, dishonest responding appears to rely heavily on capacity-limited processes of response selection to overcome honest response tendencies alongside up- and downstream consequences of response activation and monitoring. On the other hand, agents have powerful tools to mitigate these effortful processes through control adaptation and false alibis. These results support and expand current theorizing of the cognitive underpinnings of dishonest responding. Furthermore, they are alerting from an applied perspective on the detection of lies, especially when considering the flexibility of even basic cognitive processes in the face of false alibis. A promising way to move forward from here would be a fine-grained discrimination of response activation, passive decay and active inhibition of honest representations in dishonest responding and the assessment of the adaptiveness of these processes.
The book you hold in your hands is an interdisciplinary study on diaspora literacy in Afro-Central America. An exploration through various imaginings of times past, this study is concerned with how oxymoron, metonymy, and multilingualism deploy pluricentrical belonging.
By exploring the interlocking of multiple roots that have developed on account of routes, rhizomatic historical imaginations are unearthed here so as to imagine an other Costa Rica.
A Black Costa Rica.
A mouse model for genetic deletion of presynaptic BDNF from adult hippocampal mossy fiber terminals
(2020)
Brain-derived neurotrophic factor (BDNF) is a modulator and mediator of structural and functional plasticity at synapses in the central nervous system. Despite our profound knowledge about the synaptic function of BDNF at synapses, it is still controversially discussed whether synaptic BDNF acts primarily from pre- or postsynaptic sites. In the central nervous system, several studies show that mossy fiber (MF) projections formed by hippocampal granule neurons store the highest amount of BDNF. However, immunofluorescence and RNA labelling studies suggest that MF BDNF is primarily produced by granule neurons. Multiple other studies prefer the view that BDNF is primarily produced by postsynaptic neurons such as CA3 pyramidal neurons. Here, we question whether the BDNF, which is stored in the mossy fiber synapse, is primarily produced by granule neurons or whether by other cells in the MF-CA3 microcircuit. After standardization of immunolabelling of BDNF, confocal imaging confirmed the localization of BDNF in presynaptic MF terminals. This anterograde location of synaptic BDNF was also found in distinct regions of the fear and anxiety circuit, namely in the oval nucleus of the bed nucleus stria terminals (ovBNST) and in the central amygdala. To find out whether the presynaptic BDNF location is due to protein translation in the corresponding presynaptic dentate gyrus (DG) granule neuron, we developed and characterized a mouse model that exhibits BDNF deletion specifically from adult DG granule neurons. In this mouse model, loss of presynaptic BDNF immunoreactivity correlated with the specific Creactivity in granule neurons, thus confirming that MF BDNF is principally released by granule neurons. After BDNF deletion from granule neurons, we observed more immature neurons with widely arborized dendritic trees. This indicated that local BDNF deletion also affects the local adult neurogenesis, albeit Cre-mediated BDNF deletion only occur in adult granule neurons. Since BDNF is a master regulator of structural synaptic plasticity, it was questioned whether it is possible to visualize presynaptic, synapse-specific, structural plasticity in mossy fiber synapses. It was established that a combination of Cre-techniques together with targeting of GFP to membranes with the help of palmitoylation / myristoylation anchors was able to distinctly outline the synaptic structure of the BDNF-containing MF synapse. In summary, the mouse model characterized in here is suited to investigate the synaptic signalling function of presynaptic BDNF at the mossy fiber terminal, a model synapse to investigate microcircuit information processing from molecule to behaviour.
Amplification of N-MYC is a poor prognostic and survival marker of neuroblastoma. To broaden the scope of knowledge in N-MYC cancer biology, interactors of N-MYC should be investigated. TFIIIC complex was identified as a new protein interacting partner of N-MYC. TFIIIC is a core component of RNAPIII transcription machinery which is important for the synthesis of tRNA genes. TFIIIC recognizes and binds to B-box located internal of tRNA genes which subsequently initiate the RNAPIII transcription process. Apart from the role in RNAPIII transcription machinery, TFIIIC is an architectural protein. TFIIIC binds to thousands of sites across the genome without RNAPIII and TFIIIB. These binding loci are known as Extra TFIIIC (ETC) sites at which TFIIIC perform its role in genome organization. However, knowledge of TFIIIC is mostly restricted to studies conducted in yeasts, the exact function of TFIIIC and how it regulates N-MYC remains to be elucidated. To obtain a better overview about TFIIIC functions, two TFIIIC subunits (TFIIIC5 and TFIIIC2) which represent sub-complexes A and B were chosen for investigation. ChIP-seq experiment of RNAPIII transcription machinery was performed. It showed that both TFIIIC subunits functioned together as a complex. Next, joint binding sites of two TFIIIC subunits and N-MYC were identified. The data revealed that co-occupancies between N-MYC and TFIIIC subunits had different preference on genomic distribution. Furthermore, TFIIIC5 exhibited strong binding association with architectural proteins RAD21 and CTCF whereas TFIIIC2 was only modestly enriched with these two proteins. Both TFIIIC subunits showed equal but weak enrichment with accessory protein CAPH2. Despite the weak association with other architectural proteins, TFIIIC2 binds preferentially to repetitive elements SINE. In order to understand how TFIIIC5 affects other architectural proteins in chromatin binding, cells were depleted of TFIIIC protein upon doxycycline induction of shRNA. N-MYC binding was not affected. Yet, 50% reduction of RAD21 binding to joint N-MYC/TFIIIC sites was noticed. CAPH2 binding was increased at some joint sites while some did not respond. Lastly, CTCF did not show changes in binding under the effect of TFIIIC5 knockdown. In summary, the data indicated TFIIIC subunits from different sub-complexes diverge in functions other than tRNA synthesis. The association of TFIIIC5 with architectural proteins and TFIIIC2 with SINE elements were suggested to be distinct mechanisms to regulate N-Myc directly or indirectly.
This thesis contributes to the understanding of the labor market effects of international trade, with a focus on the effects on wage and earnings inequality. The thesis draws on high-quality micro data and applies modern econometric techniques and theoretical concepts to improve our understanding of the distributional effects of international trade. The thesis focuses on the effects in Germany and the USA.
The present dissertation aims to shed light on different mechanisms of socio-emotional feedback in social decision-making situations. The objective is to evaluate emotional facial expressions as feedback stimuli, i.e., responses of interaction partners to certain social decisions. In addition to human faces, artificial emojis are also examined due to their relevance for modern digital communication. Previous research on the influence of emotional feedback suggests that a person's behavior can be effectively reinforced by rewarding stimuli. In the context of this dissertation, the differences in the feedback processing of human photographs and emojis, but also the evaluation of socially expected versus socially unexpected feedback were examined in detail in four studies. In addition to behavioral data, we used the electroencephalogram (EEG) in all studies to investigate neural correlates of social decision-making and emotional feedback.
As the central paradigm, all studies were based on a modified ultimatum game. The game is structured as follows: there is a so-called proposer who holds a specific amount of money (e.g., 10 cents) and offers the responder a certain amount (e.g., 3 cents). The responder then decides whether to accept or reject the offer. In the version of the ultimatum game presented here, different types of proposers are introduced. After the participants have accepted or rejected in the role of the responder, the different proposers react to the participant’s decision with specific emotional facial expressions. Different feedback patterns are used for the individual experiments conducted in the course of this dissertation.
In the first study, we investigated the influence of emotional feedback on decision-making in the modified version of the ultimatum game. We were able to show that a proposer who responds to the acceptance of an offer with a smiling face achieves more accepted offers overall than a control proposer who responds to both accepted and rejected offers with a neutral facial expression. Consequently, the smile served as a positive reinforcement. Similarly, a sad expression in response to a rejected offer also resulted in higher acceptance rates as compared to the control identity, which could be considered an expression of compassion for that proposer. On a neuronal level, we could show that there are differences between simply looking at negative emotional stimuli (i.e., sad and angry faces) and their appearance as feedback stimuli after rejected offers in the modified ultimatum game. The so-called feedback-related negativity was reduced (i.e., more positive) when negative emotions appeared as feedback from the proposers. We argued that these findings might show that the participants wanted to punish the proposers by rejecting an offer for its unfairness and therefore the negative feedback met their expectations. The altered processing of negative emotional facial expressions in the ultimatum game could therefore indicate that the punishment is interpreted as successful. This includes the expectation that the interaction partner will change his behavior in the future and eventually make fairer offers.
In the second study we wanted to show that smiling and sad emojis as feedback stimuli in the modified ultimatum game can also lead to increased acceptance rates. Contrary to our assumptions, this effect could not be observed. At the neural level as well, the findings did not correspond to our assumptions and differed strongly from those of the first study. One finding, however, was that the neural P3 component showed how the use of emojis as feedback stimuli particularly characterizes certain types of proposers. This is supported by the fact that the P3 is increased for the proposer who rewards an acceptance with a smile as well as for the proposer who reacts to rejection with a sad emoji compared to the neutral control proposer.
The third study examined the discrepancy between the findings of the first and second study. Accordingly, both humans and emojis representing the different proposers were presented in the ultimatum game. In addition, emojis were selected that showed a higher similarity to known emojis from common messenger services compared to the second study. We were able to replicate that the proposers in the ultimatum game, who reward an acceptance of the offer with a smile, led to an increased acceptance rate compared to the neutral control proposers. This difference is independent of whether the proposers are represented by emojis or human faces. With regard to the neural correlates, we were able to demonstrate that emojis and human faces differ strongly in their neural processing. Emojis showed stronger activation than human faces in the face-processing N170 component, the feedback-related negativity and the P3 component. We concluded that the results of the N170 and feedback-related negativity could indicate a signal for missing social information of emojis compared to faces. The increased P3 amplitude for emojis might imply that emojis appear unexpectedly as reward stimuli in a social decision task compared to human faces.
The last study of this project dealt with socially unexpected feedback. In comparison to the first three studies, new proposer identities were implemented. In particular, the focus was on a proposer who reacted to the rejection of an offer unexpectedly with a smile and to the acceptance with a neutral facial expression. According to the results, participants approach this unexpected smile through increased rejection, although it is accompanied by financial loss. In addition, as reported in studies one and three, we were able to show that proposers who respond to the acceptance of an offer with a smiling face and thus meet the expectations of the participants have higher offer acceptance rates than the control proposer. At the neuronal level, especially the feedback from the socially unexpected proposer led to an increased P3 amplitude, which indicates that smiling after rejection is attributed a special subjective importance.
The experiments provide new insights into the social influence through emotional feedback and the processing of relevant social cues. Due to the conceptual similarity of the studies, it was possible to differentiate between stable findings and potentially stimulus-dependent deviations, thus creating a well-founded contribution to the current research. Therefore, the novel paradigm presented here, and the knowledge gained from it could also play an important role in the future for clinical questions dealing with limited social competencies.
Recently, it was shown that MDA-MB-231 breast cancer cells express very high levels of the A2BAR as the sole adenosine receptor subtype, and stimulation of the A2BAR in MDA-MB-231 cells triggers an unusual inhibitory signal on ERK1/2 phosphorylation. The ERK1/2 pathway is reported to be associated with the control of growth, proliferation and differentiation of cells and as such might serve as a promising target for tumor treatment. The present study investigated signaling mechanisms involved in linking A2BAR to ERK1/2 phosphorylation in MDA-MB-231 cells. The A2BAR mediated reduction of ERK1/2 phosphorylation and of proliferation of MDA-MB-231 cell is in good agreement with previous results from (Dubey et al., 2005). These observations provide support to the hypothesis that activation of A2BAR could attenuate the growth of some types of cancer cell and argue against a stimulation of proliferation resulting from the activation of A2BAR as discussed by (Fernandez-Gallardo et al., 2016). AC activation by forskolin has recently been shown to enhance the activity of the chemotherapeutic agent doxorubicin in TNBC cells via a mechanism dependent on the PKA-mediated inhibition of ERK1/2 phosphorylation. Furthermore, forskolin also increased the sensitivity of MDA-MB-231 and MDA-MB-468 triple negative breast cancer cells to 5-fluorouracil and taxol (Illiano et al., 2018), and sustains the evidence of anticancer activity mediated by cAMP/PKA-mediated ERK1/2 inhibition. Similar to these studies, a reduced amount of pERK1/2 was also observed after stimulation of AC with FSK, application of cAMP-AM or inhibition of PDE-4. The inhibition of ERK1/2 phosphorylation was mimicked by UTP and abolished with the PLC inhibitor U73122 or by chelating intracellular Ca2+ with BAPTA-AM. These results point to an important role for both cAMP and Ca2+ signaling in the pathway leading to a decrease in ERK1/2 phosphorylation. This study encourages the idea that A2BAR could be used as target in cancer therapy. But A2BAR did not only stimulate signaling cascades associated with cell survival and proliferation reduction, but also key phases relevant in angiogenesis like Ca2+ mobilization (Kohn et al., 1995). Whereas the potency toward AC and Ca2+ are similar for the diverse agonists, the potency to promote ERK1/2 reduction is much higher. Interestingly, the proliferation of MDA-MB-231 cells is inhibited by low nanomolar agonist concentration which is inactive in Ca2+ mobilization. This means that it is certainly possible to reduce the proliferation without promoting angiogenesis. LUF6210 is particularly interesting when considering that it preferentially stimulates a reduction in ERK1/2 phosphorylation over Ca2+ and therefore may not promote angiogenesis. LUF6210 is therapeutically appealing as adjuvant in treatment of cancer. Given that stimulation of AC can activate a reduction of ERK1/2 phosphorylation and proliferation in cancer cells, agonist bias toward Gs-AC-PKA-mediated ERK1/2 inhibition represent a potential therapy of various malignancies. The fact that the reduction of ERK1/2 phosphorylation followed by reduced proliferation observed in MDA-MB-231 cells were mediated by the activation of the A2BAR illustrates the importance of this receptor subtype in cancer. A2BARs must be considered as a key factor in cancer treatment and deserve attention for the development of new therapeutic strategies.
This thesis aims for a better understanding of the mechanisms underlying anxiety as well as trauma- and stressor-related disorders and the development of new therapeutic approaches. I was first interested in the associative learning mechanisms involved in the etiology of anxiety disorders. Second, I explored the therapeutic effects of transcutaneous vagus nerve stimulation (tVNS) as a promising new method to accelerate and stabilize extinction learning in humans.
For these purposes, I applied differential anxiety conditioning protocols realized by the implementation of virtual reality (VR). Here, a formerly neutral virtual context (anxiety context, CTX+) is presented whereby the participants unpredictably receive mildly aversive electric stimuli (unconditioned stimulus, US). Another virtual context (safety context, CTX-) is never associated with the US. Moreover, extinction of conditioned anxiety can be modeled by presenting the same contexts without US delivery. When unannounced USs were administered after extinction, i.e. reinstatement, the strength of the “returned” conditioned anxiety can provide information on the stability of the extinction memory.
In Study 1, I disentangled the role of elemental and conjunctive context representations in the acquisition of conditioned anxiety. Sequential screenshots of two virtual offices were presented like a flip-book so that I elicited the impression of walking through the contexts. Some pictures of CTX+ were paired with an US (threat elements), but not some other screenshots of the same context (non-threat elements), nor the screenshots depicting CTX- (safety elements). Higher contingency ratings for threat compared to non-threat elements revealed elemental representation. Electro-cortical responses showed larger P100 and early posterior negativity amplitudes elicited by screenshots depicting CTX+ compared to CTX- and suggested conjunctive representation. These results support the dual context representation in anxiety acquisition in healthy individuals.
Study 2 addressed the effects of tVNS on the stabilization of extinction learning by using a context conditioning paradigm. Potentiated startle responses as well as higher aversive ratings in CTX+ compared to CTX- indicate successful anxiety conditioning. Complete extinction was found in startle responses and valence ratings as no differentiation between CTX+ and CTX- suggested. TVNS did not affect extinction or reinstatement of anxiety which may be related to the inappropriate transferability of successful stimulation parameters from epilepsy patients to healthy participants during anxiety extinction.
Therefore, in Study 3 I wanted to replicate the modulatory effects of tVNS on heart rate and pain perception by the previously used parameters. However, no effects of tVNS were observed on subjective pain ratings, on pain tolerance, or on heart rate. This led to the conclusion that the modification of stimulation parameters is necessary for a successful acceleration of anxiety extinction in humans.
In Study 4, I prolonged the tVNS and, considering previous tVNS studies, I applied a cue conditioning paradigm in VR. Therefore, during acquisition a cue (CS+) presented in CTX+ predicted the US, but not another cue (CS-). Both cues were presented in a second context (CTX-) and never paired with the US. Afterward, participants received either tVNS or sham stimulation and underwent extinction learning. I found context-dependent cue conditioning only in valence ratings, which was indicated by lower valence for CS+ compared to CS- in CTX+, but no differential ratings in CTX-. Successful extinction was indicated by equal responses to CS+ and CS-. Interestingly, I found reinstatement of conditioned fear in a context-dependent manner, meaning startle response was potentiated for CS+ compared to CS- only in the anxiety context. Importantly, even the prolonged tVNS had no effect, neither on extinction nor on reinstatement of context-dependent cue conditioning. However, I found first evidence for accelerated physiological contextual extinction due to less differentiation between startles in CTX+ compared to CTX- in the tVNS than in the sham stimulated group.
In sum, this thesis first confirms the dual representation of a context in an elemental and a conjunctive manner. Second, though anxiety conditioning and context-dependent cue conditioning paradigms worked well, the translation of tVNS accelerated extinction from rats to humans needs to be further developed, especially the stimulation parameters. Nevertheless, tVNS remains a very promising approach of memory enhancement, which can be particularly auspicious in clinical settings.
An Intelligent Semi-Automatic Workflow for Optical Character Recognition of Historical Printings
(2020)
Optical Character Recognition (OCR) on historical printings is a challenging task mainly due to the complexity of the layout and the highly variant typography. Nevertheless, in the last few years great progress has been made in the area of historical OCR resulting in several powerful open-source tools for preprocessing, layout analysis and segmentation, Automatic Text Recognition (ATR) and postcorrection. Their major drawback is that they only offer limited applicability by non-technical users like humanist scholars, in particular when it comes to the combined use of several tools in a workflow. Furthermore, depending on the material, these tools are usually not able to fully automatically achieve sufficiently low error rates, let alone perfect results, creating a demand for an interactive postcorrection functionality which, however, is generally not incorporated.
This thesis addresses these issues by presenting an open-source OCR software called OCR4all which combines state-of-the-art OCR components and continuous model training into a comprehensive workflow. While a variety of materials can already be processed fully automatically, books with more complex layouts require manual intervention by the users. This is mostly due to the fact that the required Ground Truth (GT) for training stronger mixed models (for segmentation as well as text recognition) is not available, yet, neither in the desired quantity nor quality.
To deal with this issue in the short run, OCR4all offers better recognition capabilities in combination with a very comfortable Graphical User Interface (GUI) that allows error corrections not only in the final output, but already in early stages to minimize error propagation. In the long run this constant manual correction produces large quantities of valuable, high quality training material which can be used to improve fully automatic approaches. Further on, extensive configuration capabilities are provided to set the degree of automation of the workflow and to make adaptations to the carefully selected default parameters for specific printings, if necessary. The architecture of OCR4all allows for an easy integration (or substitution) of newly developed tools for its main components by supporting standardized interfaces like PageXML, thus aiming at continual higher automation for historical printings.
In addition to OCR4all, several methodical extensions in the form of accuracy improving techniques for training and recognition are presented. Most notably an effective, sophisticated, and adaptable voting methodology using a single ATR engine, a pretraining procedure, and an Active Learning (AL) component are proposed. Experiments showed that combining pretraining and voting significantly improves the effectiveness of book-specific training, reducing the obtained Character Error Rates (CERs) by more than 50%.
The proposed extensions were further evaluated during two real world case studies: First, the voting and pretraining techniques are transferred to the task of constructing so-called mixed models which are trained on a variety of different fonts. This was done by using 19th century Fraktur script as an example, resulting in a considerable improvement over a variety of existing open-source and commercial engines and models. Second, the extension from ATR on raw text to the adjacent topic of typography recognition was successfully addressed by thoroughly indexing a historical lexicon that heavily relies on different font types in order to encode its complex semantic structure.
During the main experiments on very complex early printed books even users with minimal or no experience were able to not only comfortably deal with the challenges presented by the complex layout, but also to recognize the text with manageable effort and great quality, achieving excellent CERs below 0.5%. Furthermore, the fully automated application on 19th century novels showed that OCR4all (average CER of 0.85%) can considerably outperform the commercial state-of-the-art tool ABBYY Finereader (5.3%) on moderate layouts if suitably pretrained mixed ATR models are available.
In the thesis at hand, several sequences of number theoretic interest will be studied in the context of uniform distribution modulo one. <br>
<br>
In the first part we deduce for positive and real \(z\not=1\) a discrepancy estimate for the sequence \( \left((2\pi )^{-1}(\log z)\gamma_a\right) \),
where \(\gamma_a\) runs through the positive imaginary parts of the nontrivial \(a\)-points of the Riemann zeta-function. If the considered imaginary
parts are bounded by \(T\), the discrepancy of the sequence \( \left((2\pi )^{-1}(\log z)\gamma_a\right) \) tends to zero like
\( (\log\log\log T)^{-1} \) as \(T\rightarrow \infty\). The proof is related to the proof of Hlawka, who determined a discrepancy estimate for the
sequence containing the positive imaginary parts of the nontrivial zeros of the Riemann zeta-function. <br>
<br>
The second part of this thesis is about a sequence whose asymptotic behaviour is motivated by the sequence of primes. If \( \alpha\not=0\) is real
and \(f\) is a function of logarithmic growth, we specify several conditions such that the sequence \( (\alpha f(q_n)) \) is uniformly distributed
modulo one. The corresponding discrepancy estimates will be stated. The sequence \( (q_n)\) of real numbers is strictly increasing and the conditions
on its counting function \( Q(x)=\#\lbrace q_n \leq x \rbrace \) are satisfied by primes and primes in arithmetic progessions. As an application we
obtain that the sequence \( \left( (\log q_n)^K\right)\) is uniformly distributed modulo one for arbitrary \(K>1\), if the \(q_n\) are primes or primes
in arithmetic progessions. The special case that \(q_n\) equals the \(\textit{n}\)th prime number \(p_n\) was studied by Too, Goto and Kano. <br>
<br>
In the last part of this thesis we study for irrational \(\alpha\) the sequence \( (\alpha p_n)\) of irrational multiples of primes in the context of
weighted uniform distribution modulo one. A result of Vinogradov concerning exponential sums states that this sequence is uniformly distributed modulo one.
An alternative proof due to Vaaler uses L-functions. We extend this approach in the context of the Selberg class with polynomial Euler product. By doing so, we obtain
two weighted versions of Vinogradov's result: The sequence \( (\alpha p_n)\) is \( (1+\chi_{D}(p_n))\log p_n\)-uniformly distributed modulo one, where
\( \chi_D\) denotes the Legendre-Kronecker character. In the proof we use the Dedekind zeta-function of the quadratic number field \( \Bbb Q (\sqrt{D})\).
As an application we obtain in case of \(D=-1\), that \( (\alpha p_n)\) is uniformly distributed modulo one, if the considered primes are congruent to
one modulo four. Assuming additional conditions on the functions from the Selberg class we prove that the sequence \( (\alpha p_n) \) is also
\( (\sum_{j=1}^{\nu_F}{\alpha_j(p_n)})\log p_n\)-uniformly distributed modulo one, where the weights are related to the Euler product of the function.
Pyrene is a polycyclic aromatic hydrocarbon (PAH) that has very interesting photophysical properties which make it suitable for a broad range of applications. The 2,7-positions of pyrene are situated on nodal planes in both the HOMO and LUMO. Hence, electrophilic reactions take place at the 1-, 3-, 6-, and 8-positions. The goal of this project was to develop novel pyrene derivatives substituted at the 2- and 2,7-positions, with very strong donors or/and acceptors, to achieve unprecedented properties and to provide a deeper understanding of how to control the excited states and redox properties. For that reason, a julolidine-type moiety was chosen as a very strong donor, giving D-π and D-π-D systems and, with Bmes2 as a very strong acceptor, D-π-A system. These compounds exhibit unusual photophysical properties such as emission in the green region of the electromagnetic spectrum in hexane, whereas all other previously reported pyrene derivatives substituted at the 2,7-positions show blue luminescence. Furthermore, spectroelectrochemical measurements suggest very strong coupling between the substituents at the 2,7-positions of pyrene in the D-π-D system. Theoretical studies show that these properties result from the very strong julolidine-type donor and Bmes2 acceptor coupling efficiently to the pyrene HOMO-1 and LUMO+1, respectively. Destabilization of the former and stabilization of the latter lead to an orbital shuffle between HOMO and HOMO 1, and LUMO and LUMO+1 of pyrene. Consequently, the S1 state changes its nature sufficiently enough to gain higher oscillator strength, and the photophysical and electrochemical properties are then greatly influenced by the substituents.
In another project, further derivatives were synthesized with additional acceptor moieties at the K-region of pyrene. These target derivatives exhibit strong bathochromically shifted absorption maxima (519-658 nm), which is a result of the outstanding charge transfer character introduced into the D-π-D pyrene system through the additional acceptor moiety at the K-region. Moreover, emission in the red to NIR region with an emission maximum at 700 nm in CH2Cl2 is detected. The excited state lives unusual long for K-region substituted pyrenes; however, such a lifetime is rather typical for 2,7-substituted pyrene derivatives.
The polycyclic aromatic hydrocarbon perylene, especially perylene diimide, has received considerable attention in recent years and has found use in numerous applications such as dyes, pigments and semiconductors. Nevertheless, it is of fundamental importance to understand how to modulate the electronic and photophysical properties of perylene depending on the specific desired application. Perylenes without carboxyimide groups at the peri positions are much less well studied due to the difficulties in functionalizing the perylene core directly. In particular, only ortho heteroatom substituted perylenes have not been reported thus far (exception: (Bpin)4-Per was already reported by Marder and co-workers). Thus, the effect of substituents on the ortho positions of the perylene core has not been investigated.
Two perylene derivatives were synthesized that bear four strong diphenylamine donor or strong Bmes2 acceptor moieties at the ortho positions. These compounds represent the first examples of perylenes substituted only at the ortho positions with donors or acceptors.
The investigations show that the photophysical and electronic properties of these derivatives are unique and different compared to the well-studied perylene diimides. Thus, up to four reversible reductions or oxidations are possible, which is unprecedented for monomeric perylenes. Furthermore, the photophysical properties of these two ortho-substituted derivatives are unusual compared to reported perylenes on many regards. Thus, large Stokes shifts are obtained, and the singlet excited state of these derivatives lives remarkably long with intrinsic lifetimes of up to 94 ns.
In a cooperation with Dr. Gerard P. McGlacken at University College Cork in Ireland, different quinolones were borylated using an iridium catalyst system to study the electronic and steric effect of the substrates. It was possible to demonstrate that the Ir-catalyzed borylation with the dtbpy ligand allows the direct borylation of various 4-quinolones at the 6- and 7-positions. Thus, later stage functionalization is possible with this method and more highly functionalized quinolones are also compatible with this mild reaction conditions.
Blumeria graminis, the obligate biotrophic grass powdery mildew, is a highly pathogenic fungus capable of inflicting foliar diseases and of causing severe yield losses. There is asexual and sexual propagation in the life cycle of B. graminis. In the epidemiological processes of this pathogen, both types of spores - asexual conidia and sexual ascospores – are crucial.
Conidia of B. graminis are demonstrated to perceive cuticular very-long-chain aldehydes as molecular signal substances notably promoting germination and differentiation of the infection structure (the appressorium) – the prepenetration processes – in a concentration- and chain-length-dependent manner. Conidial germination and appressorium formation are known to be dramatically impeded by the presence of free water on the host surface. However, sexually formed ascospores are reported to easily germinate immersed in water. There are abundant assays on conidial prepenetration processes. However, with respect to the stimulating effects of very-long-chain aldehydes and to the influence of the presence of free water, ascosporic prepenetration processes are still obscure.
In order to study the effects of very-long-chain aldehydes on the ascosporic prepenetration processes of wheat powdery mildew fungus B. graminis f. sp. tritici, Formvar®-based in vitro systems were applied to exclude the secondary host effects (such as host resistance) and to reproducibly provide homogeneous hydrophobic substratum surfaces. By the presence of even-numbered very-long-chain aldehydes (C22 - C30), the appressorium formation of the ascospores was notably triggered in a chain-length dependent manner. N-octacosanal (C28) was the most inducing aldehyde tested. Unlike conidia, ascospores could easily differentiate immersed in water and showed a more variable differentiation pattern even with a single germ tube differentiating an appressorium.
To evaluate the alternative management against barley powdery mildew fungus Blumeria graminis f. sp. hordei, the suppressing effects of UV-C irradiation on the developmental processes of conidia on artificial surfaces (in vitro) and on host leaf surfaces (in vivo) were assayed. In vitro and in vivo, a single dose of 100 J m-2 UV-C was adequate to decrease conidial germination to < 20 % and to reduce appressorium formation to values < 5 %. UV-C irradiation negatively affected colony pustule size and vegetative propagation. Under photoperiodic conditions of 2h light/16h dark, 6h dark/12h light or 6h dark/18h light, UV-C-treated conidia showed photoreactivation (photo-recovery). White light-mediated photoreactivation was most effective immediately after UV-C irradiation, suggesting that a prolonged phase of darkness after UV-C application increased the efficacy of management against B. graminis. UV-C irradiation increased transcript levels of three putative photolyase genes in B. graminis, indicating those were probably involved in photoreactivation processes. However, mere white light or blue light (wavelength peak, 475 nm) could not induce the up-regulation of these genes.
To determine whether visible light directly impacted the prepenetration and penetration processes of this powdery mildew pathogen, conidia of Blumeria graminis f. sp. hordei and Blumeria graminis f. sp. tritici were inoculated onto artificial surfaces and on host leaf surfaces. Samples were analyzed after incubation periods under light conditions (white light intensity and spectral quality). Increasing white light intensities directly impaired conidial prepenetration processes in vitro but not in vivo. Applying an agar layer under the wax membrane compensated for conidial water loss as a consequence of high white light irradiation. Light stimulated in vitro and in vivo the appressorium elongation of B. graminis in a wavelength-dependent manner. Red light was more effective to trigger the elongation of appressorium than blue light or green light assayed.
Taken together, the findings of this study demonstrate that 1) a host surface recognition principle based on cuticular very-long-chain aldehydes is a common feature of B. graminis f. sp. tritici ascospores and conidia; 2) the transcriptional changes of three putative photolyase genes in B. graminis are mediated in a UV-C-dependent manner; 3) light directly affected the (pre)penetration processes of B. graminis.
Sharing stories has become increasingly popular as a means to foster young children’s vocabulary development and to target early vocabulary gaps between disadvantaged children and their better-equipped peers. Although, in general, the beneficial effects of story interventions have been demonstrated (Marulis & Neuman, 2010, 2013), many factors possibly moderating those effects – including method of story delivery as well as questioning style – merit further examination (R. L. Walsh & Hodge, 2018).
The aim of the present doctoral thesis was to test predictions from different theories on methods of story delivery and questioning styles regarding their influence on children’s vocabulary learning from listening to stories. Method of story delivery refers to the general way of how stories can be conveyed, with reading aloud and free-telling of stories (i.e., the narrator telling stories without reading from text) representing different approaches that are assumed to differ regarding narrator behavior and linguistic complexity. Questioning styles refer to different combinations of questions’ cognitive demand level (low vs. high vs. scaffolding-like increasing from low to high) and/or placement (within the story vs. after the story) during story sessions.
In the present doctoral thesis, the first two studies (Studies 1 and 2) compared reading aloud and free-telling of stories as different methods of story delivery. Study 1 consisted of two experiments utilizing a within-subjects design with 3- to 6-year-old preschool children (Nexperiment1 = 83; Nexperiment2 = 48) listening to stories once either presented read aloud or freely told. Study 2 extended the first study by examining effects on story comprehension and additionally including audiotape versions of both story-delivery methods as experimental conditions, which allowed separating narrator behavior and linguistic complexity. With the second study being conducted as a between-subjects design, 4- to 6-year-old preschool children (N = 60) heard each of the stories twice, but listened only to one type of story delivery. The results of Study 1 indicated that no differences between methods of story delivery regarding word learning and child engagement were observable when narrator behavior in terms of eye contact and gesticulation was similar. However in Study 2, when free-telling was operationalized in a more naturalistic way, marked by higher rates of eye contact and gesticulation, it resulted in better child engagement, greater vocabulary learning, and better story comprehension than reading aloud. In contrast, as indicated by both studies, differences in linguistic complexity had no short-term impact on learning and comprehension. The studies, however, could not isolate the influence of eye contact versus gesture usage and could not distinguish between different types of gestures.
The second set of studies (Studies 3 and 4) contrasted the effects of different types of question demand level (low vs. high vs. scaffolding-like increasing from low to high) and placement (within the story vs. after the story) and examined potential interactions with children’s cognitive skills. In one-to-one reading sessions (Study 3; N = 86) or small-group reading sessions (Study 4; N = 91) 4- to 6-year-old preschool children heard stories three times marked by different types of question demand level and placement or simply read-aloud without questions. The adult narrators encouraged the children to reflect on and answer questions (Study 1) and to give feedback on other children’s comments (Study 2), but in both studies, to ensure fidelity of the experimental conditions, the adult narrators did not provide corrective feedback or elaborate on the children’s answers. Results on measures of different facets of word learning indicated that asking questions resulted in better vocabulary learning than simply reading the stories aloud. However, in contrast to proposed hypotheses and across both studies, different types of question demand level and placement did not exert differential effects and they did not interact with children’s general vocabulary knowledge or memory skills. Thus, both studies suggest that those two types of questions features have no impact on children’s vocabulary learning, if questions are not followed up by narrator feedback and elaborations. However, whether different types of question placement and demand level produce differential learning gains through adult-child discussion following different questioning styles has still to be determined.
Taken together, the four studies of the present doctoral thesis underline the central role that adults play for successful story sessions with young children not only for engaging children in the story but also for extending and for correcting their utterances. Although the presented studies extend existing knowledge about methods of story delivery and questioning styles during story sessions, further research needs to examine the impact of questioning styles on word learning through subsequent adult-child discussion and to gain a better understanding of the role of nonverbal narrator behavior during story delivery.
The rising use of new media has given rise to public discussions about their possible negative consequences. The social sciences have answered these concerns, providing many studies investigating different media types (e.g., social media, video games) and different related variables (e.g., psychological well-being, academic achievement). Within this big body of research, some research results have confirmed negative associations with frequent media use; other studies have found no or even positive relationships. With heterogeneous results, it is difficult to obtain a clear picture of the relationships and causalities of new media. The method of meta-analysis allows a synthesis of all existing data, providing an overall effect size as well as moderator and mediator analyses which might explain the heterogeneity. Three manuscripts present meta-analytic evidence related to a) the relationship between social media use and academic achievement, b) the relationship between video gaming and overweight, and c) the relationship between social media and psychological correlates. Manuscript #1 found small relationships which depend on the usage pattern of social media. The relationship is positive, as long as social media use is related to school. Manuscript #2 showed that children’s and adolescents’ video gaming is independent from their body mass, while adults who play more have a higher body mass. Manuscript #3 summarized existing meta-analytic evidence that links social media with psychological wellbeing, academic achievement, and narcissism with small to moderate effect sizes. All three manuscripts underscore the potential of meta-analyses to synthesize previous research and to identify moderators. Although meta-analyses are not necessarily superior to other approaches because of their limitations (e.g. limited information or quality of primary studies) they are very promising for media psychology. Meta-analyses can reduce complexity and might be helpful for the communication of research results to the general public.
Periglacial environments are facing dramatic changes. Warming air temperatures and strong snow cover variations fundamentally affect landforming processes in this hotspot region of Climate Change. But before we can assess the response of landform development to a changing climate, we need to enhance our understanding of the internal structure of those landforms. Within this study, a broad scope of landform types from alpine and subarctic regions is investigated: rock glaciers, solifluction lobes, palsas and patterned ground. By using the geophysical methods 2-D and 3-D ERI, as well as GPR surveying, structural differences and similarities between landform units of different or the same landform types are highlighted. This enables a reconstruction of their past and a projection of their future development.
Recent advances in Natural Language Preprocessing (NLP) allow for a fully automatic extraction of character networks for an incoming text. These networks serve as a compact and easy to grasp representation of literary fiction. They offer an aggregated view of the text, which can be used during distant reading approaches for the analysis of literary hypotheses. In their core, the networks consist of nodes, which represent literary characters, and edges, which represent relations between characters. For an automatic extraction of such a network, the first step is the detection of the references of all fictional entities that are of importance for a text. References to the fictional entities appear in the form of names, noun phrases and pronouns and prior to this work, no components capable of automatic detection of character references were available. Existing tools are only capable of detecting proper nouns, a subset of all character references. When evaluated on the task of detecting proper nouns in the domain of literary fiction, they still underperform at an F1-score of just about 50%. This thesis uses techniques from the field of semi-supervised learning, such as Distant supervision and Generalized Expectations, and improves the results of an existing tool to about 82%, when evaluated on all three categories in literary fiction, but without the need for annotated data in the target domain. However, since this quality is still not sufficient, the decision to annotate DROC, a corpus comprising 90 fragments of German novels was made. This resulted in a new general purpose annotation environment titled as ATHEN, as well as annotated data that spans about 500.000 tokens in total. Using this data, the combination of supervised algorithms and a tailored rule based algorithm, which in combination are able to exploit both - local consistencies as well as global consistencies - yield an algorithm with an F1-score of about 93%. This component is referred to as the Kallimachos tagger.
A character network can not directly display references however, instead they need to be clustered so that all references that belong to a real world or fictional entity are grouped together. This process widely known as coreference resolution is a hard problem in the focus of research for more than half a century. This work experimented with adaptations of classical feature based machine learning, with a dedicated rule based algorithm and with modern techniques of Deep Learning, but no approach can surpass 55% B-Cubed F1, when evaluated on DROC. Due to this barrier, many researchers do not use a fully-fledged coreference resolution when they extract character networks, but only focus on a more forgiving subset- the names. For novels such as Alice's Adventures in Wonderland by Lewis Caroll, this would however only result in a network in which many important characters are missing. In order to integrate important characters into the network that are not named by the author, this work makes use of automatic detection of speaker and addressees for direct speech utterances (all entities involved in a dialog are considered to be of importance). This problem is by itself not an easy task, however the most successful system analysed in this thesis is able to correctly determine the speaker to about 85% of the utterances as well as about 65% of the addressees. This speaker information can not only help to identify the most dominant characters, but also serves as a way to model the relations between entities.
During the span of this work, components have been developed to model relations between characters using speaker attribution, using co-occurrences as well as by the usage of true interactions, for which yet again a dataset was annotated using ATHEN. Furthermore, since relations between characters are usually typed, a component for the extraction of a typed relation was developed. Similar to the experiments for the character reference detection, a combination of a rule based and a Maximum Entropy classifier yielded the best overall results, with the extraction of family relations showing a score of about 80% and the quality of love relations with a score of about 50%. For family relations, a kernel for a Support Vector Machine was developed that even exceeded the scores of the combined approach but is behind on the other labels.
In addition, this work presents new ways to evaluate automatically extracted networks without the need of domain experts, instead it relies on the usage of expert summaries. It also refrains from the uses of social network analysis for the evaluation, but instead presents ranked evaluations using Precision@k and the Spearman Rank correlation coefficient for the evaluation of the nodes and edges of the network. An analysis using these metrics showed, that the central characters of a novel are contained with high probability but the quality drops rather fast if more than five entities are analyzed. The quality of the edges is mainly dominated by the quality of the coreference resolution and the correlation coefficient between gold edges and system edges therefore varies between 30 and 60%.
All developed components are aggregated alongside a large set of other preprocessing modules in the Kallimachos pipeline and can be reused without any restrictions.
The pathophysiological mechanisms of pain in small fiber neuropathy (SFN) are unclear. Based on experimental and clinical studies, sensitized nociceptors in the skin are reported to be involved in pain development. These nociceptors may be sensitized by cutaneous and systemic pain mediators e.g. pro- and anti-inflammatory cytokines. The aim of our study was, to measure the systemic and local gene expression of pro- and anti-inflammatory cytokines in white blood cells (WBC) as well as in primary fibroblasts and keratinocytes obtained from human skin of patients with SFN. Furthermore, gene expression levels of axon guidance molecules and their receptors, as potential regulators of the intraepidermal nerve fiber density (IENFD), were investigated. 55 patients and 31 healthy controls were prospectively recruited. Participants underwent extensive clinical phenotyping and blood sampling, 6-mm skin punch biopsies were taken from the right lateral calf and the upper thigh. Systemic relative gene expression levels (ΔG) of the interleukin (IL)-1β, IL-2, IL-6, IL-8, and tumor necrosis factor (TNF) was measured in WBC. Skin punch biopsies were taken to determine the IENFD and to obtain primary fibroblast and keratinocyte cell cultures. Skin cells were then used for investigation of ΔG in axon guidance molecules netrin 1 (NTN1) and ephrin A4 (EPHA4) as well as their receptors Unc5b receptor, and ephrin A4 (EFNA4) as well as cytokines IL-1β, IL-4, IL-6, IL-8, IL-10, TNF, and transforming growth factor (TGF). Systemically, gene expression of IL-2, IL-8, and TNF was higher in SFN patients compared to healthy controls. In keratinocytes, higher expression levels of NTN1 and TGF were found when comparing the SFN patients to the controls. In fibroblasts higher gene expression was shown in NTN1, Unc5b, IL-6, and IL-8 when comparing patients to healthy controls. The systemically and local elevated levels of pro-inflammatory, algesic cytokines in SFN patients compared to healthy controls, confirms a potential pathophysiological role in the development of neuropathic pain. Data also indicate fibroblasts and keratinocytes to influence subepidermal and intraepidermal nerve fiber growth through the expression of NTN1 and Unc5b. Thus, skin cells may contribute to the development of neuropathic pain through local denervation.
Bone marrow dosimetry is a topic of high interest in molecular radiotherapy. Predicting the level of hematological toxicity is one of the most important goals of nuclear medicine radiation dosimetry. To achieve this, it is necessary to quantify the absorbed dose to the active bone marrow, thus aiming at administering the most efficient therapy with a minimum level of adverse effects in the patient. The anatomical complexity of trabecular bone and bone marrow leads to the need of applying non-nuclear medicine imaging methods for determining the spatial distribution of soft tissue, adipose tissue, and bone in spongiosa.
Therefore, the two objectives of this dissertation are: i) to apply magnetic resonance imaging (MRI) for quantification of the fat volume fraction, and ii) to validate a method based on dual-energy quantitative computed tomography (DEQCT) for quantification of the trabecular bone volume fraction.
In a first step, an MRI sequence (two-point Dixon) for fat-water separation was validated in a 3 Tesla system by quantifying the fat volume fraction in a phantom and the lumbar vertebrae of volunteers and comparing with magnetic resonance spectroscopy (MRS). After successful validation, the fat volume fraction was retrospectively measured in the five lumbar vertebrae of 44 patient images acquired in the clinical routine. The two-point Dixon showed a good quantification of the fat volume fraction in the phantom experiment (-9.8% maximum relative error with respect to the nominal values). In the volunteers, a non-significant difference between MRI and MRS was found for the quantification of the fat volume fraction in volumes-of-interest with similar dimensions and position in both quantification methodologies (MRI and MRS). In the study with patient data, the marrow conversion (red → yellow marrow) was found to be age-dependent, and slower in males (0.3% per year) than in females (0.5% per year). Also, considerable variability of the fat volume fraction in patients of similar ages and the same gender was observed.
These results enable the use of two-point Dixon MRI in the quantification of the fat volume fraction in the bone marrow. Additionally, the constant marrow conversion during adulthood suggests that a patient-specific approach should replace the assumption of a constant cellularity volume fraction of 0.7 (reference man) (1,2) as proposed by the International Commission on Radiological Protection (ICRP).
In a second step, a quantification method based on DEQCT was validated in two CT systems: i) a clinical CT integrated into a SPECT/CT and ii) a dual-source computed tomography (DSCT) system. The method was applied in two phantoms: the first was used to validate the DEQCT method by the quantification of the hydroxyapatite volume fraction in three vials of 50 ml each and three different hydroxyapatite concentrations (100 mg/cm3, 200 mg/cm3, 300 mg/cm3). The second phantom was the European spine phantom (ESP), an anthropomorphic spine phantom. It was used to quantify the bone mineral content (BMC) on the whole vertebra and the hydroxyapatite volume fraction (VFHA) in the spongiosa region of each vertebra of the phantom. Lastly, the BMC of lumbar vertebrae 1 (LV1) and 2 (LV2) was measured in a patient using DEQCT and dual-energy X-ray absorptiometry (DEXA). Furthermore, the hydroxyapatite volume fraction (VFHA) and the bone volume fraction (VFB) was calculated for both the whole vertebrae and the spongiosa region of LV1 and LV2.
The measured and nominal hydroxyapatite volume fraction in the vial phantom showed a good correlation (maximum relative error: 14.2%). The quantification of the BMC on the whole vertebra and the VFHA on the spongiosa region showed larger relative errors than in the validation phantom. The quantification of BMC on LV1 and LV2 showed relative errors between DEXA and DSCT equal to 7.6% (LV1) and -8.4% (LV2). Also, the values of the VFHA (mineral bone) were smaller than the VFB. This result is consistent with the bone composition (mineral bone plus organic material).
The DEQCT method enables the quantification of hydroxyapatite (mineral bone) and bone (mineral bone plus organic material) in a clinical setting. However, the method showed an overestimation of the quantified mineral bone volume fraction. This overestimation might be related to the lack of detailed information on the CT X-ray spectra and detector sensitivity. Also, the DEQCT method showed a dependency on the CT reconstruction kernel and the chemical description of the materials to be quantified.
Based on the results of this work, the feasibility for quantifying the fat volume fraction and the bone volume fraction in the spongiosa in a clinical setting has been demonstrated/proven. Furthermore, the differences in fat volume fraction in females and males, as well as the variability of the fat volume fraction in subjects of similar ages, questions the approximation of the cellularity volume fraction by only a single ICRP reference value in bone marrow dosimetry for molecular radiotherapy. Lastly, this study presents the first approach for non-invasive quantification of the bone volume fraction (mineral bone plus organic material) for improved bone marrow dosimetry.
Autologous bone still represents today’s gold standard for the treatment of critical size bone defects and fracture non-unions despite associated disadvantages regarding limitations in availability, donor site morbidity, costs and efficacy. Bone tissue engineered constructs would present a promising alternative to currently available treatments. However, research on preclinical animal studies still fails to provide clinical applicable results able to allow the replacement of currently applied methods. It seems that the idea of bone tissue engineering, which has now been integral part of academic studies for over 30 years, got somehow stuck at an intermediate level, in between intense preclinical research and striven stages of initial clinical trial phases. A clear discrepancy exists between the number of studies with preclinical animal models for bone tissue engineering and the number of clinically approved bone tissue engineered constructs available to patients.
The aim of this thesis was hence to evaluate preclinical animal models for bone tissue engineering as well as the perception of scientists and clinicians towards these models. Moreover, the general role of bone tissue engineering and its clinical need assessed by scientists and surgeons was investigated. A survey was conducted questioning both scientific and clinical opinions on currently available study designs and researchers’ satisfaction with preclinical animal models. Additionally, a literature research was conducted, resulting in 167 papers from the last 10 years that report current designs of preclinical orthotopic animal studies in bone tissue engineering. Thereby, the focus lied on the description of the models regarding animal species, strain, age, gender and defect design. The outcome of the literature search was evaluated and compared to the outcome obtained from the survey.
The survey data revealed that both scientists and surgeons generally remain positive about the future role of bone tissue engineering and its step to clinical translation, at least in the distant future, where it then might replace the current gold standard, autologous bone. Moreover, most of the participants considered preclinical animal models as relevant and well developed but the results as not yet realizable in the clinics. Surgeons thereby demonstrated a slightly more optimistic perception of currently conducted research with animal models compared to scientists. However, a rather inconsistent description of present preclinical study designs could be discerned when evaluating the reported study designs in the survey and the papers of the literature search.
Indeed, defining an appropriate animal species, strain, age, gender, observation time, observation method and surgical design often depends on different indications and research questions and represents a highly challenging task for the establishment of a preclinical animal model. The existing lack of valid guidelines for preclinical testing of bone tissue engineering leads hence to a lack of well standardized preclinical animal models. Moreover, still existing knowledge gaps regarding aspects that affect the process of fracture healing, such as vascularization or immunological aspects, were found to hinder clinical translation of bone tissue engineered constructs.
Using literature review and survey, this thesis points out critical issues that need to be addressed to allow clinical translation of bone tissue engineered constructs. It can be concluded that currently existing study designs with preclinical animal models cannot live up to the claim of providing suitable results for clinical implementation. The here presented comprehensive summary of currently used preclinical animal models for bone tissue engineering reveals a missing consensus on the usage of models such as an apparent lack of reporting and standardization regarding the study designs described in both papers from the literature review and the survey. It thereby indicates a crucial need to improve preclinical animal models in order to allow clinical translation. Despite the fact that participants of the survey generally revealed a positive perception towards the use of bone tissue engineered constructs and affirmed the clinical need for such novel designs, the missing standardization constitutes a main weak point for the provision of reliable study outcome and the translational success of the models. The optimization of reproducibility and reliability, as well as the further understanding of ongoing mechanisms in bone healing in order to develop effective tissue engineered constructs, need to form the basis of all study designs. The study outcomes might then fulfill the requirements of maybe today's and hopefully tomorrow's aging population.
In order to facilitate the human energy needs with renewable energy sources in the future, new concepts and ideas for the electricity generation are needed. Solar cells based on metal halide perovskite semiconductors represent a promising approach to address these demands in both single-junction and tandem configurations with existing silicon technology. Despite intensive research, however, many physical properties and the working principle of perovskite PVs are still not fully understood. In particular, charge carrier recombination losses have so far mostly been studied on pure films not embedded in a complete solar cell. This thesis aimed for the identification and quantification of charge carrier recombination dynamics in fully working devices under conditions corresponding to those under real operation. To study different PV systems, transient electrical methods, more precisely Open-Circuit Voltage Decay (OCVD), Transient Photovoltage (TPV) and Charge Extraction (CE), were applied. Whereas OCVD and TPV provide information about the recombination lifetime, CE allows to access the charge carrier density at a specific illumination intensity. The benefit of combining these different methods is that the obtained quantities can not only be related to the Voc but also to each other, thus enabling to determine also the dominant recombination mechanisms.The aim of this thesis is to contribute to a better understanding of recombination losses in fully working perovskite solar cells and the experimental techniques which are applied to determine these losses.
Background
- Brain-Computer Interfaces (BCI) enable their users to interact and communicate with the environment without requiring intact muscle control. To this end, brain activity is directly measured, digitized and interpreted by the computer. Thus, BCIs may be a valuable tool to assist severely or even completely paralysed patients. Many BCIs, however, rely on neurophysiological potentials evoked by visual stimulation, which can result in usability issues among patients with impaired vision or gaze control. Because of this, several non-visual BCI paradigms have been developed. Most notably, a recent study revealed promising results from a tactile BCI for wheelchair control. In this multi-session approach, healthy participants used the BCI to navigate a simulated wheelchair through a virtual apartment, which revealed not only that the BCI could be operated highly efficiently, but also that it could be trained over five sessions. The present thesis continues the research on this paradigm in order to - confirm its previously reported high performance levels and trainability - reveal the underlying factors responsible for observed performance increases - establish its feasibility among potential impaired end-users
Methods
- To approach these goals, three studies were conducted with both healthy participants and patients with amyotrophic lateral sclerosis (ALS). Brain activity during BCI operation was recorded via electroencephalography (EEG) and interpreted using a machine learning-based linear classifier. Wheelchair navigation was executed according to the classification results and visualized on a monitor. For offline statistical analysis, neurophysiological features were extracted from EEG data. Subjective data on usability were collected from all participants. Two specialized experiments were conducted to identify factors for training.
Results and Discussion
- Healthy participants: Results revealed positive effects of training on BCI performances and their underlying neurophysiological potentials. The paradigm was confirmed to be feasible and (for a non-visual BCI) highly efficient for most participants. However, some had to be excluded from analysis of the training effects because they could not achieve meaningful BCI control. Increased somatosensory sensitivity was identified as a possible mediator for training-related performance improvements. Participants with ALS: Out of seven patients with various stages of ALS, five could operate the BCI with accuracies significantly above chance level. Another ALS patient in a state of near-complete paralysis trained with the BCI for several months. Although no effects of training were observed, he was consistently able to operate the system above chance level. Subjective data regarding workload, satisfaction and other parameters were reported.
Significance
- The tactile BCI was evaluated on the example of wheelchair control. In the future, it could help impaired patients to regain some lost mobility and self-sufficiency. Further, it has the potential to be adapted to other purposes, including communication. Once visual BCIs and other assistive technologies fail for patients with (progressive) motor impairments, vision-independent paradigms such as the tactile BCI may be among the last remaining alternatives to interact with the environment. The present thesis has strongly confirmed the general feasibility of the tactile paradigm for healthy participants and provides first clues about the underlying factors of training. More importantly, the BCI was established among potential end-users with ALS, providing essential external validity.
Despite advancements of modern medicine, the number of patients with the the end-stage kidney disease keeps growing, and surgical procedures to establish and maintain a vascular access for hemodialysis are rising accordingly. Surgical access of choice remains autogenous arteriovenous fistula, whereas approach “fistula first at all costs” leads to failure in certain subgroups of patients. Modern synthetic vascular grafts fail to deliver long-term results comparable with AV fistula. With all that in mind, this work has an aim of developing a new alternative vascular graft, which can be used for hemodialysis access using the methods of TE, especially electrospinning technique. It is hypothesized that electrospun scaffold, made of PCL and collagen type I may assemble mechanical properties similar to native blood vessels. Seeding such electrospun scaffolds with human microvascular endothelial cells (hmvECs) and preconditioning with shear stress and continuous flow might achieve sufficient endothelial lining being able to resist acute thrombosis. One further topic considered on-site infections, which represents one of the most spread complications of dialysis therapy due to continuous needle punctures. The main hypothesis was that during electrospinning process, polymers can be blended with antibiotics with the aim of producing scaffolds with antimicrobial properties, which could lead to reducing the risk of on-site infection on one side, while not affecting the cell viability.
The impact of stories in their ability to shape our view on the world has long been a central topic in communication science and media psychology. While reading a book or watching a movie, we are transported into story worlds and we identify with depicted protagonists. Several studies showed that high levels of transportation lead to greater story-consistent beliefs. Similar effects were found for identification. However, much less is known how and in which direction stories could affect the self. Five experimental studies were conducted and summarized in three manuscripts. Manuscript #1 explored the moderating role of transportation that could shift one’s self-perception towards traits of a depicted story character (assimilation) or away from him/her (contrast). Manuscript #2 focused on downward social comparisons with a protagonist and possible contrast effects on participants’ self-perception in relation to others, their motives and behavior. Thereby, the mediating role of transportation and identification were investigated. Finally, upward social comparison with a protagonist and related emotions (e.g., envy) that mediate possible effects on one’s self perception and behavioral intentions were investigated in manuscript #3.
This dissertation project contributes to the literature on stories and the self. Consistent with previous work, assimilation effects were found for highly transported recipients. However, stories might also elicit contrast effects on recipients’ selves and behavioral intentions that are opposite to a depicted character. Extending prior research, there were evidence that transportation and envy are important process variables explaining assimilation vs. contrast effects.
This thesis covers a wide range of results for when a random vector is in the max-domain of attraction of max-stable random vector. It states some new theoretical results in D-norm terminology, but also gives an explaination why most approaches to multivariate extremes are equivalent to this specific approach. Then it covers new methods to deal with high-dimensional extremes, ranging from dimension reduction to exploratory methods and explaining why the Huessler-Reiss model is a powerful parametric model in multivariate extremes on par with the multivariate Gaussian distribution in multivariate regular statistics. It also gives new results for estimating and inferring the multivariate extremal dependence structure, strategies for choosing thresholds and compares the behavior of local and global threshold approaches. The methods are demonstrated in an artifical simulation study, but also on German weather data.
Comparative analysis of insect circadian clocks: a behavioural, anatomical, and molecular study
(2020)
Biological clocks are endogenous oscillators that give organisms the sense of time. Insects, as the largest taxonomic group, offer fascinating models to study the evolution of clocks and their adaptation to various environments. Although the laboratory fruit fly, Drosophila melanogaster, led the role in the field of circadian biology as it provides a powerful genetic experimental tool, new model insect species need to be established to understand photoperiodic responses and to enable comparative studies. This work reports the behavioural, anatomical, and molecular characterization of the circadian clock of five insect species. The malt fly Chymomyza costata carries a D. melanogaster-like clock network, which supports circadian rhythms under rhythmic environment but cannot self-sustain when isolated from external time cues. The olive fly Bactrocera oleae is the major pest of olive plantations and the characterization of its circadian clock will improve future pest management strategies. The linden bug Pyrrhocoris apterus, a well suited model for investigating circadian and photoperiodic timing interactions, shows high degree of homology of the clock network with D. melanogaster. The scuttle flies Megaselia scalaris and Megaselia abdita represent new fascinating models to study how the clock network controls circadian behaviour. Overall, this work highlights high degree of homology between different circadian clock systems, but at the same time also dramatic differences in terms of circadian behaviour and neuro-anatomical expression of clock components. These have been mainly discussed in regards to the evolution of clocks in Diptera, and the adaptation of clocks to high latitudes.
My dissertation comprises three studies: (1) an assessment of honey bee colony losses in the USA between 2014 and 2015, (2) an exploration of the potential of reclaimed sand mines as bee habitat, and (3) an evaluation of native and non-native pollinator friendly plants in regard to their attraction to bees. While the first study focuses on honey bees, the latter two studies primarily take wild bees or entire bee communities in focus.
The study on honey bee colony losses was conducted within the framework of the Bee Informed Partnership (BIP, beeinformed.org) and aligns with the annual colony loss surveys which have been conducted in the USA since the winter of 2006/2007. It was the fourth year for which summer and annual losses were calculated in addition to winter losses. Among participants, backyard beekeepers were the largest group (n = 5690), although sideline (n = 169) and commercial (n = 78) beekeepers managed the majority (91.7 %) of the 414 267 surveyed colonies. Overall, 15.1 % of the estimated 2.74 million managed colonies in the USA were included in the study. Total honey bee colony losses (based on the entirety of included colonies) were higher in summer (25.3 %) than in winter (22.3 %) and amounted to 40.6 % for the entire 2014/2015 beekeeping year. Average colony losses per beekeeper or operation were higher in winter (43.7 %) than in summer (14.7 %) and amounted to 49 % for the entire 2014/2015 beekeeping year. Due to the dominance of backyard beekeepers among participants, average losses per operation (or unweighted loss) stronger reflected this smaller type of beekeeper. Backyard beekeepers mainly named colony management issues (e.g., starvation, weak colony in the fall) as causes for mortality, while sideline and commercial beekeepers stronger emphasized parasites or factors outside their control (e.g., varroa, nosema, queen failure).
The second study took place at reclaimed sand mines. Sand mines represent anthropogenically impacted habitats found worldwide, which bear potential for bee conservation. Although floral resources can be limited at these habitats, vegetation free patches of open sandy soils and embankments may offer good nesting possibilities for sand restricted and other bees. We compared bee communities as found in three reclaimed sand mines and at adjacent roadside meadows in Maryland, USA, over two years. Both sand mines and roadsides hosted diverse bee communities with 111 and 88 bee species, respectively. Bee abundances as well as richness and Shannon diversity of bee species were higher in sand mines than at roadsides and negatively correlated with the percentage of vegetational ground cover. Species composition also differed significantly between habitats. Sand mines hosted a higher proportion of ground nesters, more uncommon and more ‘sand loving’ bees similar to natural sandy areas of Maryland. Despite the destruction of the original pre-mining habitat, sand mines thus appear to represent a unique habitat for wild bees, particularly when natural vegetation and open sand spots are encouraged. Considering habitat loss, the lack of natural disturbance regimes, and ongoing declines of wild bees, sand mines could add promising opportunities for bee conservation which has hitherto mainly focused on agricultural and urban habitats.
The third study was an experimental field study on pollinator friendly plants. Bees rely on the pollen and nectar of plants as their food source. Therefore, pollinator friendly plantings are often used for habitat enhancements in bee conservation. Non-native pollinator friendly plants may aid in bee conservation efforts, but have not been tested and compared with native pollinator friendly plants in a common garden experiment. In this study, we seeded mixes of 20 native and 20 non-native pollinator friendly plants in two separate plots at three sites in Maryland, USA. For two years, we recorded flower visitors to the plants throughout the blooming period and additionally sampled bees with pan traps. A total of 3744 bees (120 species) were sampled in the study. Of these, 1708 bees (72 species) were hand netted directly from flowers for comparisons between native and non-native plants. Depending on the season, bee abundance and species richness was either similar or lower (early season and for richness also late season) at native plots compared to non-native plots. Additionally, the overall bee community composition differed significantly between native and non-native plots. Furthermore, native plants were associated with more specialized plant-bee visitation networks compared to non-native plants. In general, visitation networks were more specialized in the early season than the later seasons. Four species (Bombus impatiens, Halictus poeyi/ligatus, Lasioglossum pilosum, and Xylocopa virginica) out of the five most abundant bee species (also including Apis mellifera) foraged more specialized on native than non-native plants. Our study showed that non-native plants were well accepted by a diverse bee community and had a similar to higher attraction for bees compared to native plants. However, we also demonstrated alterations in foraging behavior, bee community assemblage, and visitation networks. As long as used with caution, non-native plants can be a useful addition to native pollinator friendly plantings. This study gives a first example of a direct comparison between native and non-native pollinator friendly plants.
Merkel cell carcinoma (MCC) is a rare and aggressive skin cancer. In approximately 80% of cases, genomic integration of the Merkel cell polyomavirus (MCPyV) is observed and overexpression of the two MCPyV T antigens (TAgs) is regarded as the main oncogenic determinant of MCPyV-positive MCC cases. However, the nature of the cells from which MCC arises is unknown. Therefore, the goal of the present work was to determine the cell of origin of MCC.
First, we characterized MCC patients’ tumors and demonstrated a high similarity of MCPyV- negative MCC with extracutaneous neuroendocrine carcinoma while MCPyV-positive MCC differs from these two groups with respect to morphology, immunohistochemical profile, genetics, origin and behavior. Based on the analysis of a trichoblastoma/MCC combined tumor, we demonstrated that a MCPyV-positive MCC can arise following MCPyV integration in an epithelial cell. In addition, the high similarity between trichoblastoma cells and Merkel cell (MC) progenitors of the hair follicle suggests that these hair follicle cells may represent a general start point for the development of MCPyV-positive MCC. A contribution of the viral TAgs to the development of the characteristic Merkel cell-like MCC phenotype is suggested by experiments demonstrating induction of Merkel cell markers upon TAg expression in human primary keratinocytes or hair follicle cells. As potential mechanisms mediating these phenotypic changes, we identified the capability of MCPyV LT to repress degradation of master regulator of MC development, i.e. the transcription factor ATOH1.
To conclude, our work suggests that MCPyV integration in epithelial cells of the hair follicle may represent an important path for MCC development.