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Viral infections induce a significant impact on various functional categories of biological processes in the host. The understanding of this complex modification of the infected host immune system requires a global and detailed overview on the infection process. Therefore it is essential to apply a powerful approach which identifies the involved components conferring the capacity to recognize and respond to specific pathogens, which in general are defeated in so-called compatible virus-plant infections. Comparative and integrated systems biology of plant-virus interaction progression may open a novel framework for a systemic picture on the modulation of plant immunity during different infections and understanding pathogenesis mechanisms. In this thesis these approaches were applied to study plant-virus infections during two main viral pathogens of cassava: Cassava brown streak virus and African cassava mosaic virus.
Here, the infection process was reconstructed by a combination of omics data-based analyses and metabolic network modelling, to understand the major metabolic pathways and elements underlying viral infection responses in different time series, as well as the flux activity distribution to gain more insights into the metabolic flow and mechanism of regulation; this resulted in simultaneous investigations on a broad spectrum of changes in several levels including the gene expression, primary metabolites, and enzymatic flux associated with the characteristic disease development process induced in Nicotiana benthamiana plants due to infection with CBSV or ACMV.
Firstly, the transcriptome dynamics of the infected plant was analysed by using mRNA-sequencing, in order to investigate the differential expression profile according the symptom developmental stage. The spreading pattern and different levels of biological functions of these genes were analysed associated with the infection stage and virus entity. A next step was the Real-Time expression modification of selected key pathway genes followed by their linear regression model. Subsequently, the functional loss of regulatory genes which trigger R-mediated resistance was observed. Substantial differences were observed between infected mutants/transgenic lines and wild-types and characterized in detail. In addition, we detected a massive localized accumulation of ROS and quantified the scavenging genes expression in the infected wild-type plants relative to mock infected controls.
Moreover, we found coordinated regulated metabolites in response to viral infection measured by using LC-MS/MS and HPLC-UV-MS. This includes the profile of the phytohormones, carbohydrates, amino acids, and phenolics at different time points of infection with the RNA and DNA viruses. This was influenced by differentially regulated enzymatic activities along the salicylate, jasmonate, and chorismate biosynthesis, glycolysis, tricarboxylic acid cycle, and pentose phosphate pathways, as well as photosynthesis, photorespiration, transporting, amino acid and fatty acid biosynthesis. We calculated the flux redistribution considering a gradient of modulation for enzymes along different infection stages, ranging from pre-symptoms towards infection stability.
Collectively, our reverse-engineering study consisting of the generation of experimental data and modelling supports the general insight with comparative and integrated systems biology into a model plant-virus interaction system. We refine the cross talk between transcriptome modification, metabolites modulation and enzymatic flux redistribution during compatible infection progression. The results highlight the global alteration in a susceptible host, correlation between symptoms severity and the alteration level. In addition we identify the detailed corresponding general and specific responses to RNA and DNA viruses at different stages of infection. To sum up, all the findings in this study strengthen the necessity of considering the timing of treatment, which greatly affects plant defence against viral infection, and might result in more efficient or combined targeting of a wider range of plant pathogens.
A fundamental question in current biology concerns the translational mechanisms leading from genetic variability to phenotypes. Technologies have evolved to the extent that they can efficiently and economically determine an individual’s genomic composition, while at the same time big data on clinical profiles and diagnostics have substantially accumulated. Genome-wide association studies linking genomic loci to certain traits, however, remain limited in their capacity to explain the cellular mechanisms that underlie the given association. For most associations, gene expression has been blamed; yet given that transcript and protein abundance oftentimes do not correlate, that finding does not necessarily decrypt the underlying mechanism. Thus, the integration of further information is crucial to establish a model that could prove more accurate in predicting genotypic effects on the human organism.
In this work we describe the so-called proteotype as a feature of the cell that could provide a substantial link between genotype and phenotype. Rather than looking at the proteome as a set of independent molecules, we demonstrate a consistent modular architecture of the proteome that is driven by molecular cooperativity. Functional modules, especially protein complexes, can be further interrogated for differences between individuals and tackled as imprints of genetic and environmental variability. We also show that subtle stoichiometric changes of protein modules could have broader effects on the cellular system, such as the transport of specific molecular cargos.
The presented work also delineates to what extent temporal events and processes influence the stoichiometry of protein complexes and functional modules. The re-wiring of the glycolytic pathway for example is illustrated as a potential cause for an increased Warburg effect during the ageing of the human bone marrow. On top of analyzing protein abundances we also interrogate proteome dynamics in terms of stability and solubility transitions during the short temporal progression of the cell cycle. One of our main observations in the thesis encompass the delineation of protein complexes into respective sub-complexes according to distinct stability patterns during the cell cycle. This has never been demonstrated before, and is functionally relevant for our understanding of the dis- and assembly of large protein modules.
The insights presented in this work imply that the proteome is more than the sum of its parts, and primarily driven by variability in entire protein ensembles and their cooperative nature. Analyzing protein complexes and functional modules as molecular reflections of genetic and environmental variations could indeed prove to be a stepping stone in closing the gap between genotype and phenotype and customizing clinical treatments in the future.
Social Cueing of Numerical Magnitude : Observed Head Orientation Influences Number Processing
(2019)
In many parts of the modern world, numbers are used as tools to describe spatial relationships, be it heights, latitudes, or distances. However, this connection goes deeper as a myriad of studies showed that number representations are rooted in space (vertical, horizontal, and/or radial). For instance, numbers were shown to affect spatial perception and, conversely, perceptions or movements in space were shown to affect number estimations. This bidirectional link has already found didactic application in the classroom when children are taught the meaning of numbers. However, our knowledge about the cognitive (and neuropsychological) processes underlying the numerical magnitude operations is still very limited.
Several authors indicated that the processing within peripersonal space (i.e. the space surrounding the body in reaching distance) and numerical magnitude operations are functionally equivalent. This assumption has several implications that the present work aims at describing. For instance, vision and visuospatial attention orienting play a prominent role for processing within peripersonal space. Indeed, both neuropsychological and behavioral studies also suggested a similar role of vision and visuospatial attention orienting for number processing. Moreover, social cognition research showed that movements, posture and gestures affect not only the representation of one's own peripersonal space, but also the visuospatial attention behavior of an observer. Against this background, the current work tests the specific implication of the functional equivalence assumption that the spatial attention response to an observed person’s posture should extend to the observer’s numerical magnitude operations.
The empirical part of the present work tests the spatial attention response of observers to vertical head postures (with continuing eye contact to the observer) in both perceptual and numerical space. Two experimental series are presented that follow both steps from the observation of another person’s vertical head orientation (within his/her peripersonal space) to the observer’s attention orienting response (Experimental series A) as well as from there to the observer’s magnitude operations with numbers (Experimental Series B). Results show that the observation of a movement from a neutral to a vertical head orientation (Experiment 1) as well as the observation of the vertical head orientation alone (Experiment 3) shifted the observer’s spatial attention in correspondence with the direction information of the observed head (up vs. down). Movement from a vertical to a neutral end position, however, had no effect on the observer's spatial attention orienting response (Experiment 2). Furthermore, following down-tilted head posture (relative to up- or non-tilted head orientation), observers generated smaller numbers in a random number generation task (range 1- 9, Experiment 4), gave smaller estimates to numerical trivia questions (mostly multi-digit numbers, Experiment 5) and chose response keys less frequently in a free choice task that was associated with larger numerical magnitude in a intermixed numerical magnitude task.
Experimental Series A served as groundwork for Experimental Series B, as it demonstrated that observing another person’s head orientation indeed triggered the expected directional attention orienting response in the observer. Based on this preliminary work, the results of Experimental Series B lend support to the assumption that numerical magnitude operations are grounded in visuospatial processing of peripersonal space. Thus, the present studies brought together numerical and social cognition as well as peripersonal space research. Moreover, the Empirical Part of the present work provides the basis for elaborating on the role of processing within peripersonal space in terms of Walsh’s (2003, 2013) Theory of Magnitude. In this context, a specification of the Theory of Magnitude was staked out in a processing model that stresses the pivotal role of spatial attention orienting. Implications for mental magnitude operations are discussed. Possible applications in the classroom and beyond are described.
Characterization of novel rhodopsins with light-regulated cGMP production or cGMP degradation
(2019)
Photoreceptors are widely occurring in almost all kingdoms of life. They mediate the first step in sensing electromagnetic radiation of different wavelength. Absorption spectra are found within the strongest radiation from the sun and absorption usually triggers downstream signaling pathways. Until now, mainly 6 classes of representative photoreceptors are known: five water-soluble proteins, of these three classes of blue light-sensitive proteins including LOV (light-oxygen-voltage), BLUF (blue-light using FAD), and cryptochrome modules with flavin (vitamin B-related) nucleotides as chromophore; while two classes of yellow and red light-sensitive proteins consist of xanthopsin and phytochrome, respectively. Lastly, as uniquely integral membrane proteins, the class of rhodopsins can usually sense over a wide absorption spectrum, ranging from ultra-violet to green and even red light. Rhodopsins can be further divided into two types, i.e., microbial (type I) and animal (type II) rhodopsins. Rhodopsins consist of the protein opsin and the covalently bound chromophore retinal (vitamin A aldehyde). In this thesis, I focus on identification and characterization of novel type I opsins with guanylyl cyclase activity from green algae and a phosphodiesterase opsin from the protist Salpingoeca rosetta.
Until 2014, all known type I and II rhodopsins showed a typical structure with seven transmembrane helices (7TM), an extracellular N-terminus and a cytosolic C-terminus. The proven function of the experimentally characterized type I rhodopsins was membrane transport of ions or the coupling to a transducer which enables phototaxis via a signaling chain. A completely new class of type I rhodopsins with enzymatic activity was identified in 2014. A light-activated guanylyl cyclase opsin was discovered in the fungus Blastocladiella emersonii which was named Cyclop (Cyclase opsin) by Gao et al. (2015), after heterologous expression and rigorous in-vitro characterization. BeCyclop is the first opsin for which an 8 transmembrane helices (8TM) structure was demonstrated by Gao et al. (2015). Earlier (2004), a novel class of enzymatic rhodopsins was predicted to exist in C. reinhardtii by expressed sequence tag (EST) and genome data, however, no functional data were provided up to now. The hypothetical rhodopsin included an N-terminal opsin domain, a fused two-component system with histidinekinase and response regulator domain, and a C-terminal guanylyl cyclase (GC) domain. This suggested that there could be a biochemical signaling cascade, integrating light-induction and ATP-dependent phosphate transfer, and as output the light-sensitive cGMP production.
One of my projects focused on characterizing two such opsins from the green algae Chlamydomonas reinhardtii and Volvox carteri which we then named 2c-Cyclop (two-component Cyclase opsin), Cr2c-Cyclop and Vc2c-Cyclop, respectively. My results show that both 2c-Cyclops are light-inhibited GCs. Interestingly, Cr2c-Cyclop and Vc2c-Cyclop are very sensitive to light and ATP-dependent, whereby the action spectra of Cr2c-Cyclop and Vc2c-Cyclop peak at ~540 nm and ~560 nm, respectively. More importantly, guanylyl cyclase activity is dependent on continuous phosphate transfer between histidine kinase and response regulator. However, green light can dramatically block phosphoryl group transfer and inhibit cyclase activity. Accordingly, mutation of the retinal-binding lysine in the opsin domain resulted in GC activity and lacking light-inhibition.
A novel rhodopsin phosphodiesterase from the protist Salpingoeca rosetta (SrRhoPDE) was discovered in 2017. However, the previous two studies of 2017 claimed a very weak or absent light-regulation. Here I give strong evidence for light-regulation by studying the activity of SrRhoPDE, expressed in Xenopus laevis oocytes, in-vitro at different cGMP concentrations. Surprisingly, hydrolysis of cGMP shows a ~100-fold higher turnover than that of cAMP. Light can enhance substrate affinity by decreasing the Km value for cGMP from 80 μM to 13 μM, but increases the maximum turnover only by ~30%. In addition, two key single mutants, SrRhoPDE K296A or K296M, can abolish the light-activation effect by interrupting a covalent bond of Schiff base type to the chromophore retinal. I also demonstrate that SrRhoPDE shows cytosolic N- and C- termini, most likely via an 8-TM structure. In the future, SrRhoPDE can be a potentially useful optogenetic tool for light-regulation of cGMP concentration, possibly after further improvements by genetic engineering.
In most foreign language learning contexts, there are only rare chance for contact with native speakers of the target language. In such a situation, reading plays an important role in language acquisition as well as in gaining cultural information about the target language and its speakers.
Previous research indicated that reading in foreign language is a complex process, which is influenced by various linguistic, cognitive and affective factors. The aim of the present study was to test two structural models of the relationship between reading comprehension in native language (L1), English language (L2) reading motivation, metacognitive awareness of L2 reading strategies, and reading comprehension of English as a foreign language among the two samples. Furthermore, the current study aimed to examine the differences between Egyptian and German students in their perceived usage of reading strategies during reading English texts, as well as to explore the pattern of their motivation toward reading English texts. For this purpose, 401 students were recruited from Germany (n=200) and Egypt (n=201) to participate in the current study. In order to have information about metacognitive awareness of reading strategies, a self-report questionnaire (SORS) developed by Moktari and Sheory (2002) was used. While the L2 reading motivation variable, was measured by a reading motivation survey (L2RMQ) which was based on reviewed reading motivation research. In addition, two reading tests were administrated one to measure reading comprehension for native language (German/Arabic) and the other to measure English reading comprehension.
To analyze the collected data, descriptive statistics and independent t-tests were performed. In addition, further analysis using structural equation modeling was applied to test the strength of relationships between the variables under study.
The results from the current research revealed that L1 reading comprehension, whether in a German or Arabic language, had the strongest relationship with L2 reading comprehension. However, the relationship between L2 intrinsic reading motivation was not proven to be significant in either the German or Egyptian models. On the other hand, the relationship between L2 extrinsic reading motivation, metacognitive awareness of reading strategies, and L2 reading comprehension was only proven significant in the German sample. The discussion of these results along with their pedagogical implications for education and practice will be illustrated in the following study.
A set of diboryldiborenes are prepared by the mild, catalyst-free, room-temperature diboration of the B–B triple bonds of doubly base-stabilized diborynes. Two of the product diboryldiborenes are found to be air- and water-stable in the solid state, an effect that is attributed to their high crystallinity and extreme insolubility in a wide range of solvents.
The study of main-group molecules that behave and react similarly to transition-metal (TM) complexes has attracted significant interest in recent decades. Most notably, the attractive idea of replacing the all-too-often rare and costly metals from catalysis has motivated efforts to develop main-group-element-mediated reactions. Main-group elements, however, lack the electronic flexibility of TM complexes that arises from combinations of empty and filled d orbitals and that seem ideally suited to bind and activate many substrates. In this review, we look at boron, an element that despite its nonmetal nature, low atomic weight, and relative redox staticity has achieved great milestones in terms of TM-like reactivity. We show how in interelement cooperative systems, diboron molecules, and hypovalent complexes the fifth element can acquire a truly metallomimetic character. As we discuss, this character is powerfully demonstrated by the reactivity of boron-based molecules with H2, CO, alkynes, alkenes and even with N2.
Main focus of the present dissertation was to gain new insight about the interaction between magnetic ions and the conduction band of diluted magnetic semiconductors. This interaction in magnetic semiconductors with carrier concentrations near the metal-insulator transition (MIT) in an external magnetic field is barely researched. Hence, n-doped Zn1−xMnxSe:Cl samples were studied.
Resonant Raman spectroscopy was employed at an external magnetic field between 1T and 7T and a temperature of 1.5K.
The resulting magnetization of the material amplifies the splitting of states with opposite spins both in the valence and the conduction band. This is known as the "giant-Zeeman-effect".
In this thesis, the resonance of the electron spin flip process, i.e. the enhancement of the signal depending on the excitation energy, was used as an indicator to determine the density of states of the charge carriers. The measured resonance profiles of each sample showed a structure, which consist of two partially overlapping Gaussian curves. The analysis of the Gaussian curves revealed that their respective maxima are separated independent of the magnetic field strenght by about 5 meV, which matches the binding energy of the donor bound exciton (D0, X).
A widening of the full width at half maximum of the resonance profile was observed with increasing magnetic field. A detailed analysis of this behavior showed that the donor bound exciton spin flip resonance primarily accounts for the widening for all samples with doping concentrations below the metal insulator transition. A model was proposed for the interpretation of this observation.
This is based on the fundamental assumptions of a spatially random distribution of the manganese ions on the group-II sublattice of the ZnSe crystal and the finite extension of the excitons. Thus, each exciton covers an individual quantity of manganese ions, which manifest as a local manganese concentration. This local manganese concentration is normally distributed for a set of excitons and hence, the evaluation of the distribution allows the determination of exciton radii
Two trends were identified for the (D0, X) radii. The radius of the bound exciton decreases with increasing carrier concentration as well as with increasing manganese concentration. The determination of the (D0, X) radii by the use of resonant spin flip Raman spectroscopy and also the observation of the behavior of the (D0, X) radius depending on the carrier concentration, was achieved for the first time.
For all samples with carrier concentrations below the metal-insulator transition, the obtained (X0) radii are up to a factor of 5.9 larger than the respective (D0, X) radii. This observation is explained by the unbound character of the (X0).
For the first time, such an observation could be made by Raman spectroscopy.Beside the resonance studies, the shape of the Raman signal of the electron spin flip was analyzed. Thereby an obvious asymmetry of the signal, with a clear flank to lower Raman shifts, was observed. This asymmetry is most pronounced, when the spin flip process is excited near the (D0, X) resonance.
To explain this observation, a theoretical model was introduced in this thesis. Based on the asymmetry of the resonantly excited spin flip signal, it was possible to estimate the (D0, X) radii, too. At external magnetic fields between 1.25T and 7T, the obtained radii lie between 2.38nm and 2.75nm.
Additionally, the asymmetry of the electron spin flip signal was observed at different excitation energies. Here it is striking that the asymmetry vanishes with increasing excitation energy. At the highest excitation energy, where the electron spin flip was still detectable, the estimated radius of the exciton is 3.92nm.
Beside the observations on the electron spin flip, the resonance behavior of the spin flip processes in the d-shell of the incorporated Mn ions was studied in this thesis. This was performed for the direct Mn spin flip process as well as for the sum process of the longitudinal optical phonon with the Mn spin flip. For the Stokes and anti-Stokes direct spin flip process and for the Stokes sum process, each the resonance curve is described by considering only one resonance mechanism. In contrast, resonance for the sum process in which an anti-Stokes Mn spin flip is involved, consists of two partially overlapping resonances due to different mechanisms. A detailed analysis of this resonance profile showed that for (Zn,Mn)Se at the chosen experimental parameters, an
incoming and outgoing resonance can be achieved, separated by a few meV.
Hereby, at a specific excitation energy range and a high excitation power, it was possible to achieve an inversion of the anti-Stokes to Stokes intensity, because only the anti-Stokes Mn spin flip process was enhanced resonantly.
The rich phase diagram of transition metal oxides essentially roots in the many body physics arising from strong Coulomb interactions within the underlying electron system.
Understanding such electronic correlation effects remains challenging for modern solid state physics, therefore experimental data is required for further progress in the field. For this reason, spectroscopic investigations of prototypical correlated materials are the scope of this thesis. The experimental methods focus on photoelectron spectroscopy, and the test materials are the correlated metal SrVO\(_3\) and the Mott insulator LaTiO\(_3\), both of which are fabricated as high quality thin films.
In SrVO\(_3\) thin films, a reduction of the film thickness induces a dimensional crossover from the metallic into the Mott insulating phase. In this thesis, an extrinsic chemical contribution from a surface over-oxidation is revealed that emerges additionally to the intrinsic change of the effective bandwidth usually identified to drive the transition. The two contributions are successfully disentangled by applying a capping layer that prevents the oxidation, allowing for a clean view on the dimensional crossover in fully stoichiometric samples. Indeed, these stoichiometric layers exhibit a higher critical thickness for the onset of the metallic phase than the bare and therefore over-oxidized thin films.
For LaTiO\(_3\) thin films, the tendency to over-oxidize is even stronger. An uncontrolled oxygen diffusion from the substrate into the film is found to corrupt the electronic properties of LaTiO\(_3\) layers grown on SrTiO\(_3\). The Mott insulating phase is only detected in stoichiometric films fabricated on more suitable DyScO\(_3\) substrates. In turn, it is demonstrated that a \(controlled\) incorporation of excess oxygen ions by increasing the oxygen growth pressure is an effective way of \(p\) doping the material which is used to drive the band filling induced Mott transition.
Gaining control of the oxygen stoichiometry in both materials allows for a systematic investigation of correlation effects in general and of the Mott transition in particular. The investigations are realized by various photoelectron spectroscopy techniques that provide a deep insight into the electronic structure. Resonant photoemission not only gives access to the titanium and vanadium related partial density of states of the valence band features, but also shows how the corresponding signal is enhanced by tuning the photon energy to the \(L\) absorption threshold. The enhanced intensity turns out to be very helpful for probing the Fermi surface topology and band dispersions by means of angular-resolved photoemission. The resulting momentum resolved electronic structure verifies central points of the theoretical description of the Mott transition, viz. the renormalization of the band width and a constant Luttinger volume in a correlated metal as the Mott phase is approached.
Molecular Effects of Polyphenols in Experimental Type 2 Diabetes Mellitus and Metabolic Syndrome
(2019)
The growing prevalence of type 2 diabetes mellitus (T2DM) demands novel therapeutic and adjuvant strategies. Polyphenols (PPs) are plant secondary metabolites. Epidemiological studies demonstrate an inverse relationship between their increased intake and the risk of development of T2DM and cardiovascular complications. However, the PPs’ mechanism of action remains largely unknown. The present work aimed to expand knowledge regarding the effects of PPs on diabetes relevant molecular targets.
Pycnogenol® (PYC) is a standardized pine bark extract which consists of oligomeric and monomeric PPs. Its anti-diabetic effects have been demonstrated in clinical trials. As a part of a human study involving 20 healthy volunteers, the extract’s effects on dipeptidyl peptidase IV (DPP IV) were investigated. This protease terminates the insulin secretagogue action of incretins. Its inhibition is a promising strategy in T2DM treatment. This study uncovered that PYC-intake of 100 mg daily over 14 days statistically significantly reduced DPP IV serum concentrations by 8.2 % (n= 38, p= 0.032). Contrary to expectations, this decrease was not paralleled by a reduction in the serum DPP IV enzymatic activity. To the best of our knowledge, the present study was the first investigating the effects of PPs on DPP IV serum concentrations and activities in humans. The finding that PYC is capable of reducing DPP IV serum concentrations might be important with regard to diabetes, where DPP IV levels are increased.
Screenings for PPs’ in vitro effects on DPP IV activity were performed employing a purified enzyme. The effects of tested PPs (among which PYC ingredients) at a physiologically relevant concentration of 5 µM were weak (< 10 %) and too small compared to the reference compound sitagliptin, and thus not likely to be clinically relevant. This result is in discordance with some published data, but consistent with the outcome from the present human study. In addition, fluorescence interactions with the experimental setup were registered: under certain conditions urolithin B exhibited an autofluorescence which might mask eventual inhibitory activity. Quercetin quenched the fluorescence slightly which might contribute to false positive results. No statistically significant effects of selected constituents and metabolites of PYC on the total DPP IV protein expression were observed in 3T3-L1 adipocytes. Thus, the lower DPP IV in vivo concentrations after intake of PYC cannot be explained with down-regulation of the DPP IV expression in adipocytes.
Akt kinase is responsible for the transmission of insulin signals and its dysregulation is related to insulin resistance and plays an important role in development of cardiovascular complications in T2DM. Thus, the modulation of the phosphorylation status of endothelial Akt-kinase, respectively its activity, might be a promising strategy in the management of these pathologies. This work aimed to uncover the effects of PPs from different structural subclasses on Akt-phosphorylation (pAkt) in endothelial cells (Ea.hy926). Short-term effects (5 – 30 min) were investigated at a concentration of 10 µM. In a pilot study two model PPs induced a moderate, but reproducible inhibition of pAkt Ser473 of 52.37 ± 21.01 % (quercetin; p= 0.006, n= 3) and 37.79 ± 7.14 % (resveratrol; p= 0.021, n= 4) compared to the negative control. A primary screening with Western blot analysis investigated the effects of eight compounds from different subclasses on pAkt Ser473 and Thr308 to reveal whether the observed inhibition PPs a group effect or specific to certain compounds. In addition to resveratrol and quercetin, statistically significant inhibitions of pAkt Ser473 were induced by luteolin (29.96 ± 11.06 %, p< 0.01, n= 6) and apigenin (22.57 ± 10.30 %, p< 0.01, n= 6). In contrast, genistein, 3,4,5-trimethoxystilbene, taxifolin and (+)-catechin caused no inhibition. A strong positive and statistically significant correlation between the mean inhibitory effects of the tested PPs on both Akt-residues Ser473 and Thr308 (r= 0.9478, p= 0.0003) was determined. A comprehensive secondary screening via ELISA involving 44 compounds from nine structural groups quantified the effects of PPs on pAkt Ser473 to uncover potential structure-activity features. The most potent inhibitors were luteolin (44.31 ± 17.95 %), quercetin (35.71 ± 8.33 %), urolithin A (35.28 ± 11.80 %), apigenin (31.79 ± 6.16 %), fisetin (28.09 ± 9.09 %), and resveratrol (26.04 ± 5.58 %). These effects were statistically significant (p< 0.01, n= 3 to 6). Further lead structure optimization might be based on the fact that the effects of luteolin and resveratrol also differed statistically significantly from each other (p= 0.008).
To the best of our knowledge, the present study is the first to compare quantitatively the short term effects of PPs from different subclasses on pAkt in endothelial cells. Basic structure-activity relationships revealed that for flavones and flavonols the presence of a C2=C3 double bond (ring C) was essential for inhibitory activity and hydroxylation on the m- and p- positions in the ring B contributed to it. For stilbenoids, three free OH-groups appeared to be optimal. The comparison of the inhibitory potentials of ellagic acid and its microbial metabolites showed that urolithin A was statistically significantly more effective than its progenitor compound. Despite their structural similarities, the only active compound among all urolithins tested was urolithin A, hydroxylated at the C3 and C8 positions. This suggested a specific effect for urolithin A. Based on the common structural determinants and molecular geometry of the most active PPs a pharmacophore model regarding Akt-inhibition was proposed.
In summary, the effects of a wide variety of PPs from diverse structural subclasses on the in vitro phosphorylation of endothelial Akt were quantitatively analyzed for the first time, the effects of previously undescribed compounds were determined and structure activity relationships were elucidated. The inhibitory potential of individual PPs might be beneficial in cases of sustained over-activation of Akt-kinase and its substrates such as S6 kinase as reported for certain T2DM-related pathological states, such as insulin resistance, endothelial dysfunction, excessive angiogenesis, vascular calcification, and insulin triggered DNA-damage. The results of the present work suggest potential molecular mechanisms of action of PP involving Akt-inhibition and DPP IV-down-regulation and thus contribute to the understanding of anti-diabetic effects of these compounds on the molecular level.
Research on the deployment and use of technology to assist learning has seen a significant
rise over the last decades (Aparicio et al., 2017). The focus on course quality, technology,
learning outcome and learner satisfaction in e-learning has led to insufficient attention by
researchers to individual characteristics of learners (Cidral et al., 2017 ; Hsu et al., 2013). The current work aims to bridge this gap by investigating characteristics identified by previous works and backed by theory as influential individual differences in e-learning. These learner characteristics have been suggested as motivational factors (Edmunds et al., 2012) in decisions by learners to interact and exchange information (Luo et al., 2017).
In this work e-learning is defined as interaction dependent information seeking and sharing enabled by technology. This is primarily approached from a media psychology perspective. The role of learner characteristics namely, beliefs about the source of knowledge (Schommer, 1990), learning styles (Felder & Silverman, 1988), need for affect (Maio & Esses, 2001), need for cognition (Cacioppo & Petty, 1982) and power distance (Hofstede, 1980) on interactions to seek and share information in e-learning are investigated. These investigations were shaped by theory and empirical lessons as briefly mentioned in the next paragraphs. Theoretical support for investigations is derived from the technology acceptance model(TAM) by psychologist Davis (1989) and the hyper-personal model by communication scientist Walther (1996). The TAM was used to describe the influence of learner characteristics on decisions to use e-learning systems (Stantchev et al., 2014). The hyper-personal model described why computer-mediated communication thrives in e-learning (Kaye et al., 2016) and how learners interpret messages exchanged online (Hansen et al., 2015). This theoretical framework was followed by empirical reviews which justified the use of interaction and information seeking-sharing as key components of e-learning as well as the selection of learner characteristics. The reviews provided suggestions for the measurement of variables (Kühl et al., 2014) and the investigation design (Dascalau et al., 2015). Investigations were designed and implemented through surveys and quasi experiments which were used for three preliminary studies and two main studies. Samples were selected from Germany and Ghana with same variables tested in both countries. Hypotheses were tested with interaction and information seeking-sharing as dependent variables while beliefs about the source of knowledge, learning styles, need for affect, need for cognition and power distance were independent variables. Firstly, using analyses of variance, the influence of beliefs about the source of knowledge on interaction choices of learners was supported. Secondly, the role of need for cognition on interaction choices of learners was supported by results from a logistic regression. Thirdly, results from multiple linear regressions backed the influence of need for cognition and power distance on information seeking-sharing behaviour of learners. Fourthly, the relationship between need for affect and need for cognition
was supported. The findings may have implications for media psychology research, theories used in this work, research on e-learning, measurement of learner characteristics and the design of e-learning platforms. The findings suggest that, the beliefs learners have about the source of knowledge, their need for cognition and their power distance can influence decisions to interact and seek or share information. The outlook from reviews and findings in this work predicts more research on learner characteristics and a corresponding intensity in the use of e-learning by individuals. It is suggested that future studies investigate the relationship between learner autonomy and power distance. Studies on inter-cultural similarities amongst e-learners in different populations are also
suggested.
In the past few years, two-dimensional quantum liquids with fractional excitations have been a topic of high interest due to their possible application in the emerging field of quantum computation and cryptography. This thesis is devoted to a deeper understanding of known and new fractional quantum Hall states and their stabilization in local models. We pursue two different paths, namely chiral spin liquids and fractionally quantized, topological phases.
The chiral spin liquid is one of the few examples of spin liquids with fractional statistics. Despite its numerous promising properties, the microscopic models for this state proposed so far are all based on non-local interactions, making the experimental realization challenging. In the first part of this thesis, we present the first local parent Hamiltonians, for which the Abelian and non-Abelian chiral spin liquids are the exact and, modulo a topological degeneracy, unique ground states. We have developed a systematic approach to find an annihilation operator of the chiral spin liquid and construct from it a many-body interaction which establishes locality. For various system sizes and lattice geometries, we numerically find largely gapped eigenspectra and confirm to an accuracy of machine precision the uniqueness of the chiral spin liquid as ground state of the respective system. Our results provide an exact spin model in which fractional quantization can be studied.
Topological insulators are one of the most actively studied topics in current condensed matter physics research. With the discovery of the topological insulator, one question emerged: Is there an interaction-driven set of fractionalized phases with time reversal symmetry? One intuitive approach to the theoretical construction of such a fractional topological insulator is to take the direct product of a fractional quantum Hall state and its time reversal conjugate. However, such states are well studied conceptually and do not lead to new physics, as the idea of taking a state and its mirror image together without any entanglement between the states has been well understood in the context of topological insulators. Therefore, the community has been looking for ways to implement some topological interlocking between different spin species. Yet, for all practical purposes so far, time reversal symmetry has appeared to limit the set of possible fractional states to those with no interlocking between the two spin species.
In the second part of this thesis, we propose a new universality class of fractionally quantized, topologically ordered insulators, which we name “fractional insulator”. Inspired by the fractional quantum Hall effect, spin liquids, and fractional Chern insulators, we develop a wave function approach to a new class of topological order in a two-dimensional crystal of spin-orbit coupled electrons. The idea is simply to allow the topological order to violate time reversal symmetry, while all locally observable quantities remain time reversal invariant. We refer to this situation as “topological time reversal symmetry breaking”. Our state is based on the Halperin double layer states and can be viewed as a two-layer system of an ↑-spin and a ↓-spin sphere. The construction starts off with Laughlin states for the ↑-spin and ↓-spin electrons and an interflavor term, which creates correlations between the two layers. With a careful parameter choice, we obtain a state preserving time reversal symmetry locally, and label it the “311-state”. For systems of up to six ↑-spin and six ↓-spin electrons, we manage to construct an approximate parent Hamiltonian with a physically realistic, local interaction.
The present thesis addresses cognitive processing of voice information. Based on general theoretical concepts regarding mental processes it will differentiate between modular, abstract information processing approaches to cognition and interactive, embodied ideas of mental processing. These general concepts will then be transferred to the context of processing voice-related information in the context of parallel face-related processing streams. One central issue here is whether and to what extent cognitive voice processing can occur independently, that is, encapsulated from the simultaneous processing of visual person-related information (and vice versa). In Study 1 (Huestegge & Raettig, in press), participants are presented with audio-visual stimuli displaying faces uttering digits.
Audiovisual gender congruency was manipulated: There were male and female faces, each uttering digits with either a male or female voice (all stimuli were AV- synchronized). Participants were asked to categorize the gender of either the face or the voice by pressing one of two keys in each trial. A central result was that audio-visual gender congruency affected performance: Incongruent stimuli were categorized slower and more error-prone, suggesting a strong cross-modal interaction of the underlying visual and auditory processing routes. Additionally, the effect of incongruent visual information on auditory classification was stronger than the effect of incongruent auditory information on visual categorization, suggesting visual dominance over auditory processing in the context of gender classification. A gender congruency effect was also present under high cognitive load. Study 2 (Huestegge, Raettig, & Huestegge, in press) utilized the same (gender-congruent and -incongruent) stimuli, but different tasks for the participants, namely categorizing the spoken digits (into odd/even or smaller/larger than 5). This should effectively direct attention away from gender information, which was no longer task-relevant. Nevertheless, congruency effects were still observed in this study. This suggests a relatively automatic processing of cross-modal gender information, which
eventually affects basic speech-based information processing. Study 3 (Huestegge, subm.) focused on the ability of participants to match unfamiliar voices to (either static or dynamic) faces. One result was that participants were indeed able to match voices to faces. Moreover, there was no evidence for any performance increase when dynamic (vs. mere static) faces had to be matched to concurrent voices. The results support the idea that common person-related source information affects both vocal and facial features, and implicit corresponding knowledge appears to be used by participants to successfully complete face-voice matching. Taken together, the three studies (Huestegge, subm.; Huestegge & Raettig, in press; Huestegge et al., in press) provided information to further develop current theories of voice processing (in the context of face processing). On a general level, the results of all three studies are not in line with an abstract, modular view of cognition, but rather lend further support to interactive, embodied accounts of mental processing.
Perovskite oxides are a very versatile material class with a large variety of outstanding physical properties.
A subgroup of these compounds particularly tempting to investigate are oxides involving high-\(Z\) elements, where spin-orbit coupling is expected to give rise to new intriguing phases and potential application-relevant functionalities. This thesis deals with the preparation and characterization of two representatives of high-\(Z\) oxide sample systems based on KTaO\(_3\) and BaBiO\(_3\).
KTaO\(_3\) is a band insulator with an electronic valence configuration of Ta 5\(d\)\(^0\) . It is shown that by pulsed laser deposition of a disordered LaAlO\(_3\) film on the KTaO\(_3\)(001) surface, through the creation of oxygen vacancies, a Ta 5\(d\)\(^{0+\(\delta\)}\) state is obtained in the upmost crystal layers of the substrate. In consequence a quasi two dimensional electron system (q2DES) with large spin-orbit coupling emerges at the heterointerface. Measurements of the Hall effect establish sheet carrier densities in the range of 0.1-1.2 10\(^{14}\) cm\(^2\), which can be controlled by the applied oxygen background pressure during deposition and the LaAlO\(_3\) film thickness. When compared to the prototypical oxide q2DESs based on SrTiO\(_3\) crystals, the investigated system exhibits exceptionally large carrier mobilities of up to 30 cm\(^2\)/Vs (7000 cm\(^2\)/Vs) at room temperature (below 10 K). Through a depth profiling by photoemission spectra of the Ta 4\(f\) core level it is shown that the majority of the Ta 5\(d\)\(^0\) charge carriers, consisting of mobile and localized electrons, is situated within 4 nm from the interface at low temperatures. Furthermore, the momentum-resolved electronic structure of the q2DES \(buried\) underneath the LaAlO\(_3\) film is probed by means of hard X-ray angle-resolved photoelectron spectroscopy. It is inferred that, due to a strong confinement potential of the electrons, the band structure of the system is altered compared to \(n\)-doped bulk KTO. Despite the constraint of the electron movement along one direction, the Fermi surface exhibits a clear three dimensional momentum dependence, which is related to a depth extension of the conduction channels of at least 1 nm.
The second material, BaBiO\(_3\), is a charge-ordered insulator, which has recently been predicted to emerge as a large-gap topological insulator upon \(n\)-doping. This study reports on the thin film growth of pristine BaBiO\(_3\) on Nb:SrTiO\(_3\)(001) substrates by means of pulsed laser deposition. The mechanism is identified that facilitates the development of epitaxial order in the heterostructure despite the presence of an extraordinary large lattice mismatch of 12 %. At the heterointerface, a structurally modified layer of about 1.7 nm thickness is formed that gradually relieves the in-plane strain and serves as the foundation of a relaxed BBO film. The thereupon formed lattice orders laterally in registry with the substrate with the orientation BaBiO\(_3\)(001)||SrTiO\(_3\)(001) by so-called domain matching, where 8 to 9 BaBiO\(_3\) unit cells align with 9 to 10 unit cells of the substrate. Through the optimization of the deposition conditions in regard to the cation stoichiometry and the structural lattice quality, BaBiO\(_3\) thin films with bulk-like electronic properties are obtained, as is inferred from a comparison of valence band spectra with density functional theory calculations. Finally, a spectroscopic survey of BaBiO\(_3\) samples of various thicknesses resolves that a recently discovered film thickness-controlled phase transition in BaBiO\(_3\) thin films can be traced back to the structural and concurrent stoichiometric modifications occuring in the initially formed lattice on top of the SrTiO\(_3\) substrate rather than being purely driven by the smaller spatial extent of the BBO lattice.
A series of 22 new bis(phosphine), bis(carbene) and bis(isonitrile) tetrahalodiborane adducts has been synthesized, either by direct adduct formation with highly sensitive B2X4 precursors (X = Cl, Br, I) or by ligand exchange at stable B2X4(SMe2)2 precursors (X = Cl, Br) with labile dimethylsulfide ligands. The isolated compounds have been fully characterized using NMR spectroscopic, (C,H,N)- elemental and, for 20 of these compounds, X-ray crystallographic analysis, revealing an unexpected variation in the bonding motifs. Besides the classical B2X4L2 diborane(6) adducts, some of the more sterically demanding carbene ligands induce a halide displacement leading to the first halide-bridged monocationic diboron species, [B2X3L2]A (A = BCl4, Br, I). Furthermore, low-temperature 1:1 reactions of B2Cl4 with sterically demanding N-heterocyclic carbenes led to the formation of kinetically unstable mono-adducts, one of which was structurally characterized. A comparison of the NMR and structural data of new and literature-known bis-adducts shows several trends pertaining to the nature of the halides and the stereoelectronic properties of the Lewis bases employed.
The addition of alkynes to a staturated N-heterocyclic carbene (NHC)-supported diboryne results in spontaneous cycloaddition, with complete B≡B and C≡C triple bond cleavage, NHC ring- expansion and activation of a variety of C-H bonds, leading to the formation of complex mixtures of fused B,N-heterocycles.
The transfer hydrogenation of NHC-supported diborenes with dimethylamine borane proceeds with high selectivity for the trans-1,2-dihydrodiboranes(6). DFT calculations suggest a stepwise proton-first-hydride-second reaction mechanism via an intermediate μ-hydrodiboronium dimethylaminoborate ion pair.
Disruptions in brain serotonin (5-hydroxytryptamine, 5-HT) signaling pathways have been associated with etiology and pathogenesis of various neuropsychiatric disorders, but specific neural mechanisms of 5-HT function are yet to be fully elucidated. Tryptophan hydroxylase 2 (TPH2) is the rate-limiting enzyme for brain 5-HT synthesis. Therefore, in this study a tamoxifen (Tam)-inducible cre-mediated conditional gene (Tph2) knockout in adult mouse brain (Tph2icKO) has been established to decipher the specific role of brain 5-HT in the regulation of behavior in adulthood.
Immunohistochemistry and high-performance liquid chromatography (HPLC) were used first to test the efficacy of Tam-inducible inactivation of Tph2 and consequential reduction of 5-HT in adult mouse brain. Tam treatment resulted in ≥90% reduction in the number of 5-HT immuno-reactive cells in the anterior raphe nuclei. HPLC revealed a significant reduction in concentration of 5-HT and its metabolite 5-hydroxyindole acetic acid (5-HIAA) in selected brain regions of Tph2icKO, indicating the effectiveness of the protocol used.
Second, standard behavioral tests were used to assess whether reduced brain 5-HT concentrations could alter anxiety-, fear- and depressive-like behavior in mice. No altered anxiety- and depressive-like behaviors were observed in Tph2icKO compared to control mice (Tph2CON) in all indices measured, but Tph2icKO mice exhibited intense and sustained freezing during context-dependent fear memory retrieval. Tph2icKO mice also exhibited locomotor hyperactivity in the aversive environments, such as the open field, and consumed more food and fluid than Tph2CON mice.
Lastly, the combined effect of maternal separation (MS) stress and adult brain 5-HT depletion on behavior was assessed in male and female mice. Here, MS stress, 5-HT depletion and their interaction elicited anxiety-like behavior in a sex-dependent manner. MS reduced exploratory behavior in both male and female mice. Reduced 5-HT enhanced anxiety in female, but not in male mice.
Furthermore, expression of genes related to the 5-HT system and emotionality (Tph2, Htr1a, Htr2a, Maoa and Avpr1a) was assessed by performing a quantitative real-time PCR. In Tph2icKO mice there was a reduction in expression of Tph2 in the raphe nuclei of both male and female mice. Interaction between MS stress and 5-HT deficiency was detected showing increased Htr2a and Maoa expression in raphe and hippocampus respectively of female mice. In male mice, MS stress and 5-HT depletion interaction effects reduced Avpr1a expression in raphe, while the expression of Htr1a, Htr2a and Maoa was differentially altered by 5-HT depletion and MS in various brain regions.
The role of multicellularity as the predominant microbial lifestyle has been affirmed by studies on the genetic regulation of biofilms and the conditions driving their formation. Biofilms are of prime importance for the pathology of chronic infections of the opportunistic human pathogen Staphylococcus aureus.
The recent development of a macrocolony biofilm model in S. aureus opened new opportunities to study evolution and physiological specialization in biofilm communities in this organism. In the macrocolony biofilm model, bacteria form complex aggregates with a sophisticated spatial organization on the micro- and macroscale. The central positive and negative regulators of this organization in S. aureus are the alternative sigma factor σB and the quorum sensing system Agr, respectively. Nevertheless, nothing is known on additional factors controlling the macrocolony morphogenesis.
In this work, the genome of S. aureus was screened for novel factors that are required for the development of the macrocolony architecture. A central role for basic metabolic pathways was demonstrated in this context as the macrocolony architecture was strongly altered by the disruption of nucleotide and carbohydrate synthesis. Environmental signals further modulate macrocolony morphogenesis as illustrated by the role of an oxygen-sensitive gene regulator, which is required for the formation of complex surface structures. A further application of the macrocolony biofilm model was demonstrated in the study of interstrain interactions. The integrity of macrocolony communities was macroscopically visibly disturbed by competitive interactions between clinical isolates of S. aureus.
The results of this work contribute to the characterization of the macrocolony biofilm model and improve our understanding of developmental processes relevant in staphylococcal infections. The identification of anti-biofilm effects exercised through competitive interactions could lead to the design of novel antimicrobial strategies targeting multicellular bacterial communities.
Almost all life forms on earth have adapted to the most impactful and most predictable recurring change in environmental condition, the cycle of day and night, caused by the axial rotation of the planet. As a result many animals have evolved intricate endogenous clocks, which adapt and synchronize the organisms’ physiology, metabolism and behaviour to the daily change in environmental conditions. The scientific field researching these endogenous clocks is called chronobiology and has steadily grown in size, scope and relevance since the works of the earliest pioneers in the 1960s.
The number one model organism for the research of circadian clocks is the fruit fly, Drosophila melanogaster, whose clock serves as the entry point to understanding the basic inner workings of such an intricately constructed endogenous timekeeping system. In this thesis it was attempted to combine the research on the circadian clock with the techniques of optogenetics, a fairly new scientific field, launched by the discovery of Channelrhodopsin 2 just over 15 years ago. Channelrhodopsin 2 is a light-gated ion channel found in the green alga Chlamydomonas reinhardtii. In optogenetics, researches use these light-gated ion channels like Channelrhodopsin 2 by heterologously expressing them in cells and tissues of other organisms, which can then be stimulated by the application of light. This is most useful when studying neurons, as these channels provide an almost non-invasive tool to depolarize the neuronal plasma membranes at will. The goal of this thesis was to develop an optogenetic tool, which would be able to influence and phase shift the circadian clock of Drosophila melanogaster upon illumination. A phase shift is the adaptive response of the circadian clock to an outside stimulus that signals a change in the environmental light cycle. An optogenetic tool, able to influence and phase shift the circadian clock predictably and reliably, would open up many new ways and methods of researching the neuronal network of the clock and which neurons communicate to what extent, ultimately synchronizing the network.
The first optogenetic tool to be tested in the circadian clock of Drosophila melanogaster was ChR2-XXL, a channelrhodopsin variant with dramatically increased expression levels and photocurrents combined with a prolonged open state. The specific expression of ChR2-XXL and of later constructs was facilitated by deploying the three different clock-specific GAL4-driver lines, clk856-gal4, pdf-gal4 and mai179-gal4. Although ChR2-XXL was shown to be highly effective at depolarizing neurons, these stimulations proved to be unable to significantly phase shift the circadian clock of Drosophila. The second series of experiments was conducted with the conceptually novel optogenetic tools Olf-bPAC and SthK-bPAC, which respectively combine a cyclic nucleotide-gated ion channel (Olf and SthK) with the light-activated adenylyl-cyclase bPAC. These tools proved to be quite useful when expressed in the motor neurons of instar-3 larvae of Drosophila, paralyzing the larvae upon illumination, as well as affecting body length. This way, these new tools could be precisely characterized, spawning a successfully published research paper, centered around their electrophysiological characterization and their applicability in model organisms like Drosophila. In the circadian clock however, these tools caused substantial damage, producing severe arrhythmicity and anomalies in neuronal development. Using a temperature-sensitive GAL80-line to delay the expression until after the flies had eclosed, yielded no positive results either. The last series of experiments saw the use of another new series of optogenetic tools, modelled after the Olf-bPAC, with bPAC swapped out for CyclOp, a membrane-bound guanylyl-cyclase, coupled with less potent versions of the Olf. This final attempt however also ended up being unsuccessful. While these tools could efficiently depolarize neuronal membranes upon illumination, they were ultimately unable to stimulate the circadian clock in way that would cause it to phase shift.
Taken together, these mostly negative results indicate that an optogenetic manipulation of the circadian clock of Drosophila melanogaster is an extremely challenging subject. As light already constitutes the most impactful environmental factor on the circadian clock, the combination of chronobiology with optogenetics demands the parameters of the conducted experiments to be tuned with an extremely high degree of precision, if one hopes to receive positive results from these types of experiments at all.
This thesis describes the growth and characterization of epitaxial MnSi thin films on Si substrates. The interest in this material system stems from the rich magnetic phase diagram resulting from the noncentrosymmetric B20 crystal structure. Here neighboring spins prefer a tilted relative arrangement in contrast to ferro- and antiferromagnets, which leads to a helical ground state where crystal and spin helix chirality are linked [IEM+85]. This link makes the characterization and control of the crystal chirality the main goal of this thesis.
After a brief description of the material properties and applied methods, the thesis itself is divided into four main parts. In the first part the advancement of the MBE growth process of MnSi on Si\((111)\) substrate as well as the fundamental structural characterization are described. Here the improvement of the substrate interface by an adjusted substrate preparation process is demonstrated, which is the basis for well ordered flat MnSi layers. On this foundation the influence of Mn/Si flux ratio and substrate temperature on the MnSi layer growth is investigated via XRD and clear boundaries to identify the optimal growth conditions are determined. The nonstoichiometric phases outside of this optimal growth window are identified as HMS and Mn\(_5\)Si\(_3\).
Additionally, a regime at high substrate temperatures and low Mn flux is discovered, where MnSi islands are growing incorporated in a Si layer, which could be interesting for further investigations as a size confinement can change the magnetic phase diagram [DBS+18]. XRD measurements demonstrate the homogeneity of the grown MnSi layers over most of the 3 inch wafer diameter and a small \(\omega\)-FWHM of about 0.02° demonstrates the high quality of the layers. XRD and TEM measurements also show that relaxation of the layers happens via misfit dislocations at the interface to the substrate.
The second part of the thesis is concerned with the crystal chirality. Here azimuthal \(\phi\)-scans of asymmetric XRD reflections reveal twin domains with a \(\pm\)30° rotation to the substrate. These twin domains seem to consist of left and right-handed MnSi, which are connected by a mirror operation at the \((\bar{1}10)\) plane. For some of the asymmetric XRD reflections this results in different intensities for the different twin domains, which reveals that one of the domains is rotated +30° and the other is rotated -30°. From XRD and TEM measurements an equal volume fraction of both domains is deduced. Different mechanisms to suppress these twin domains are investigated and successfully achieved with the growth on chiral Si surfaces, namely Si\((321)\) and Si\((531)\). Azimuthal \(\phi\)-scans of asymmetric XRD reflections demonstrate a suppression of up to 92%. The successful twin suppression is an important step in the use of MnSi for the proposed spintronics applications with skyrmions as information carriers, as discussed in the introduction.
Because of this achievement, the third part of the thesis on the magnetic properties of the MnSi thin films is not only concerned with the principal behavior, but also with the difference between twinned and twin suppressed layers. Magnetometry measurements are used to demonstrate, that the MnSi layers behave principally as expected from the literature. The analysis of saturation and residual magnetization hints to the twin suppression on Si\((321)\) and Si\((531)\) substrates and further investigations with more samples can complete this picture. For comparable layers on Si\((111)\), Si\((321)\) and Si\((531)\) the Curie-Weiss temperature is identical within 1 K and the critical field within 0.1 T.
Temperature dependent magnetoresistivity measurements also demonstrate the expected \(T^2\) behavior not only on Si\((111)\) but also on Si\((321)\) substrates. This demonstrates the successful growth of MnSi on Si\((321)\) and Si\((531)\) substrates. The latter measurements also reveal a residual resistivity of less then half for MnSi on Si\((321)\) in comparison to Si\((111)\). This can be explained with the reduced number of domain boundaries demonstrating the successful suppression of one of the twin domains. The homogeneity of the residual resistivity as well as the charge carrier density over a wide area of the Si\((111)\) wafer is also demonstrated with these measurements as well as Hall effect measurements.
The fourth part shows the AMR and PHE of MnSi depending on the angle between in plane current and magnetic field direction with respect to the crystal direction. This was proposed as a tool to identify skyrmions [YKT+15]. The influence of the higher C\(_{3\mathrm{v}}\) symmetry of the twinned system instead of the C\(_3\) symmetry of a B20 single crystal is demonstrated. The difference could serve as a useful additional tool to prove the twin suppression on the chiral substrates. But this is only possible for rotations with specific symmetry surfaces and not for the studied unsymmetrical Si\((321)\) surface. Measurements for MnSi layers on Si\((111)\) above the critical magnetic field demonstrate the attenuation of AMR and PHE parameters for increasing resistivity, as expected from literature [WC67]. Even if a direct comparison to the parameters on Si\((321)\) is not possible, the higher values of the parameters on Si\((321)\) can be explained considering the reduced charge carrier scattering from domain boundaries. Below the critical magnetic field, which would be the region where a skyrmion lattice could be expected, magnetic hysteresis complicates the analysis. Only one phase transition at the critical magnetic field can be clearly observed, which leaves the existence of a skyrmion lattice in thin epitaxial MnSi layers open.
The best method to solve this question seems to be a more direct approach in the form of Lorentz-TEM, which was also successfully used to visualize the skyrmion lattice for thin plates of bulk MnSi [TYY+12]. For the detection of in plane skyrmions, lamellas would have to be prepared for a side view, which seems in principle possible.
The demonstrated successful twin suppression for MnSi on Si\((321)\) and Si\((531)\) substrates may also be applied to other material systems.
Suppressing the twinning in FeGe on Si\((111)\) would lead to a single chirality skyrmion lattice near room temperature [HC12]. This could bring the application of skyrmions as information carriers in spintronics within reach.
Glossary:
MBE Molecular Beam Epitaxy
XRD X-Ray Diffraction
HMS Higher Manganese Silicide
FWHM Full Width Half Maximum
TEM Tunneling Electron Microscopy
AMR Anisotropic MagnetoResistance
PHE Planar Hall Effect
Bibliography:
[IEM+85] M. Ishida, Y. Endoh, S. Mitsuda, Y. Ishikawa, and M. Tanaka. Crystal Chirality and Helicity of the Helical Spin Density Wave in MnSi. II. Polarized Neutron Diffraction. Journal of the Physical Society of Japan, 54(8):2975, 1985.
[DBS+18] B. Das, B. Balasubramanian, R. Skomski, P. Mukherjee, S. R. Valloppilly, G. C. Hadjipanayis, and D. J. Sellmyer. Effect of size confinement on skyrmionic properties of MnSi nanomagnets. Nanoscale, 10(20):9504, 2018.
[YKT+15] T. Yokouchi, N. Kanazawa, A. Tsukazaki, Y. Kozuka, A. Kikkawa, Y. Taguchi, M. Kawasaki, M. Ichikawa, F. Kagawa, and Y. Tokura. Formation of In-plane Skyrmions in Epitaxial MnSi Thin Films as Revealed by Planar Hall Effect. Journal of the Physical Society of Japan, 84(10):104708, 2015.
[WC67] R. H. Walden and R. F. Cotellessa. Magnetoresistance of Nickel-Copper Single-Crystal Thin Films. Journal of Applied Physics, 38(3):1335, 1967.
[TYY+12] A. Tonomura, X. Yu, K. Yanagisawa, T. Matsuda, Y. Onose, N. Kanazawa, H. S. Park, and Y. Tokura. Real-Space Observation of Skyrmion Lattice in Helimagnet MnSi Thin Samples. Nano Letters, 12(3):1673, 2012.
[HC12] S. X. Huang and C. L. Chien. Extended Skyrmion Phase in Epitaxial FeGe(111) Thin Films. Physical Review Letters, 108(26):267201, 2012.
This dissertation highlights various aspects of basic social attention by choosing versatile approaches to disentangle the precise mechanisms underlying the preference to focus on other human beings. The progressive examination of different social processes contrasted with aspects of previously adopted principles of general attention. Recent research investigating eye movements during free exploration revealed a clear and robust social bias, especially for the faces of depicted human beings in a naturalistic scene. However, free viewing implies a combination of mechanisms, namely automatic attention (bottom-up), goal-driven allocation (top-down), or contextual cues and inquires consideration of overt (open exploration using the eyes) as well as covert orienting (peripheral attention without eye movement). Within the scope of this dissertation, all of these aspects have been disentangled in three studies to provide a thorough investigation of different influences on social attention mechanisms.
In the first study (section 2.1), we implemented top-down manipulations targeting non-social features in a social scene to test competing resources. Interestingly, attention towards social aspects prevailed, even though this was detrimental to completing the requirements. Furthermore, the tendency of this bias was evident for overall fixation patterns, as well as fixations occurring directly after stimulus onset, suggesting sustained as well as early preferential processing of social features. Although the introduction of tasks generally changes gaze patterns, our results imply only subtle variance when stimuli are social. Concluding, this experiment indicates that attention towards social aspects remains preferential even in light of top-down demands.
The second study (section 2.2) comprised of two separate experiments, one in which we investigated reflexive covert attention and another in which we tested reflexive as well as sustained overt attention for images in which a human being was unilaterally located on either the left or right half of the scene. The first experiment consisted of a modified dot-probe paradigm, in which peripheral probes were presented either congruently on the side of the social aspect, or incongruently on the non-social side. This was based on the assumption that social features would act similar to cues in traditional spatial cueing paradigms, thereby facilitating reaction times for probes presented on the social half as opposed to the non-social half. Indeed, results reflected such congruency effect. The second experiment investigated these reflexive mechanisms by monitoring eye movements and specifying the location of saccades and fixations for short as well as long presentation times. Again, we found the majority of initial saccades to be congruently directed to the social side of the stimulus. Furthermore, we replicated findings for sustained attention processes with highest fixation densities for the head region of the displayed human being.
The third study (section 2.3), tackled the other mechanism proposed in the attention dichotomy, the bottom-up influence. Specifically, we reduced the available contextual information of a scene by using a gaze-contingent display, in which only the currently fixated regions would be visible to the viewer, while the remaining image would remain masked. Thereby, participants had to voluntarily change their gaze in order to explore the stimulus. First, results revealed a replication of a social bias in free-viewing displays. Second, the preference to select social features was also evident in gaze-contingent displays. Third, we find higher recurrent gaze patterns for social images compared to non-social ones for both viewing modalities. Taken together, these findings imply a top-down driven preference for social features largely independent of contextual information.
Importantly, for all experiments, we took saliency predictions of different computational algorithms into consideration to ensure that the observed social bias was not a result of high physical saliency within these areas. For our second experiment, we even reduced the stimulus set to those images, which yielded lower mean and peak saliency for the side of the stimulus containing the social information, while considering algorithms based on low-level features, as well as pre-trained high-level features incorporated in deep learning algorithms.
Our experiments offer new insights into single attentional mechanisms with regard to static social naturalistic scenes and enable a further understanding of basic social processing, contrasting from that of non-social attention. The replicability and consistency of our findings across experiments speaks for a robust effect, attributing social attention an exceptional role within the general attention construct, not only behaviorally, but potentially also on a neuronal level and further allowing implications for clinical populations with impaired social functioning.
The importance of Clinical Data Warehouses (CDW) has increased significantly in recent years as they support or enable many applications such as clinical trials, data mining, and decision making.
CDWs integrate Electronic Health Records which still contain a large amount of text data, such as discharge letters or reports on diagnostic findings in addition to structured and coded data like ICD-codes of diagnoses.
Existing CDWs hardly support features to gain information covered in texts.
Information extraction methods offer a solution for this problem but they have a high and long development effort, which can only be carried out by computer scientists.
Moreover, such systems only exist for a few medical domains.
This paper presents a method empowering clinicians to extract information from texts on their own. Medical concepts can be extracted ad hoc from e.g. discharge letters, thus physicians can work promptly and autonomously. The proposed system achieves these improvements by efficient data storage, preprocessing, and with powerful query features. Negations in texts are recognized and automatically excluded, as well as the context of information is determined and undesired facts are filtered, such as historical events or references to other persons (family history).
Context-sensitive queries ensure the semantic integrity of the concepts to be extracted.
A new feature not available in other CDWs is to query numerical concepts in texts and even filter them (e.g. BMI > 25).
The retrieved values can be extracted and exported for further analysis.
This technique is implemented within the efficient architecture of the PaDaWaN CDW and evaluated with comprehensive and complex tests.
The results outperform similar approaches reported in the literature.
Ad hoc IE determines the results in a few (milli-) seconds and a user friendly GUI enables interactive working, allowing flexible adaptation of the extraction.
In addition, the applicability of this system is demonstrated in three real-world applications at the Würzburg University Hospital (UKW).
Several drug trend studies are replicated: Findings of five studies on high blood pressure, atrial fibrillation and chronic renal failure can be partially or completely confirmed in the UKW. Another case study evaluates the prevalence of heart failure in inpatient hospitals using an algorithm that extracts information with ad hoc IE from discharge letters and echocardiogram report (e.g. LVEF < 45 ) and other sources of the hospital information system.
This study reveals that the use of ICD codes leads to a significant underestimation (31%) of the true prevalence of heart failure.
The third case study evaluates the consistency of diagnoses by comparing structured ICD-10-coded diagnoses with the diagnoses described in the diagnostic section of the discharge letter.
These diagnoses are extracted from texts with ad hoc IE, using synonyms generated with a novel method.
The developed approach can extract diagnoses from the discharge letter with a high accuracy and furthermore it can prove the degree of consistency between the coded and reported diagnoses.
Besides a growing tendency for delayed parenthood, sedentary lifestyle coupled with overnutrition has dramatically increased worldwide over the last few decades. Epigenetic mechanisms can help us understand the epidemics and heritability of complex traits like obesity to a significant extent. Majority of the research till now has focused on determining the impact of maternal factors on health and disease risk in the offspring(s).
This doctoral thesis is focused on deciphering the potential effects of male aging and obesity on sperm methylome, and consequences/transmission via germline to the next generation. In humans, this was assessed in a unique cohort of ~300 sperm samples, collected after in vitro fertilization/intracytoplasmic sperm injection, as well as in conceived fetal cord blood samples of the children. Furthermore, aging effect on sperm samples derived from a bovine cohort was analyzed.
The study identified that human male aging significantly increased the DNA methylation levels of the promoter, the upstream core element, the 18S, and the 28S regions of ribosomal DNA (rDNA) in sperm. Prediction models were developed to anticipate an individual’s age based on the methylation status of rDNA regions in his sperm. Hypermethylation of alpha satellite and LINE1 repeats in human sperm was also observed with aging. Epimutations, which are aberrantly methylated CpG sites, were significantly higher in sperm of older males compared to the younger ones. These effects on the male germline had a negative impact on embryo quality of the next generation. Consistent with these results, DNA methylation of rDNA regions, bovine alpha satellite, and testis satellite repeats displayed a significant positive correlation with aging sperm samples within the same individual and across different age-grouped bulls.
A positive association between human male obesity/body mass index (BMI) and DNA methylation of the imprinted MEG3 gene and the obesity-related HIF3A gene was detected in sperm. These BMI-induced sperm DNA methylation signatures were transmitted to next generation fetal cord blood (FCB) samples in a gender-specific manner. Males, but not female offsprings exhibited a significant positive correlation between father’s BMI and FCB DNA methylation in the two above-mentioned amplicons. Additionally, hypomethylation of IGF2 with increased paternal BMI was observed in female FCB samples. Parental allele-specific in-depth methylation analysis of imprinted genes using next generation sequencing technology also revealed significant correlations between paternal factors like age and BMI, and the corresponding father’s allele DNA methylation in FCB samples.
Deep bisulphite sequencing of imprinted genes in diploid somatic cord blood cells of offspring detected that the levels of DNA methylation signatures largely depended on the underlying genetic variant, i.e. sequence haplotypes. Allele-specific epimutations were observed in PEG1, PEG5, MEG3, H19, and IGF2 amplicons. For the former three genes, the non-imprinted unmethylated allele displayed more epimutations than the imprinted methylated allele. On the other hand, for the latter two genes, the imprinted allele exhibited higher epimutation rate than that of the non-imprinted allele.
In summary, the present study proved that male aging and obesity impacts the DNA methylome of repetitive elements and imprinted genes respectively in sperm, and also has considerable consequences on the next generation. Nevertheless, longitudinal follow-up studies are highly encouraged to elucidate if these effects can influence the risk of developing abnormal phenotype in the offspring during adulthood.
Activated platelets and coagulation jointly contribute to physiological hemostasis. However, pathological conditions can also trigger unwanted platelet activation and initiation of coagulation resulting in thrombosis and precipitation of ischemic damage of vital organs such as the heart or brain. The specific contribution of procoagulant platelets, positioned at the interface of the processes of platelet activation and coagulation, in ischemic stroke had remained uninvestigated. The first section of the thesis addresses this aspect through experiments conducted in novel megakaryocyte- and platelet-specific TMEM16F conditional KO mice (cKO). cKO platelets phenocopied defects in platelets from Scott Syndrome patients and had severely impaired procoagulant characteristics. This led to decelerated platelet-driven thrombin generation and delayed fibrin formation. cKO mice displayed prolonged bleeding times and impaired arterial thrombosis. However, infarct volumes in cKO mice were comparable to wildtype (WT) mice in an experimental model of ischemic stroke. Therefore, while TMEM16F-regulated platelet procoagulant activity is critical for hemostasis and thrombosis, it is dispensable for cerebral thrombo-inflammation in mice.
The second section describes the generation and initial characterization of a novel knockin mouse strain that expresses human coagulation factor XII (FXII) instead of endogenous murine FXII. These knockin mice had normal occlusion times in an experimental model of arterial thrombosis demonstrating that human FXII is functional in mice. Therefore, these mice constitute a valuable tool for testing novel pharmacological agents against human FXII – an attractive potential target for antithrombotic therapy.
Glycoprotein (GP)VI and C-type lectin-like receptor 2 (CLEC-2)-mediated (hem)immunoreceptor tyrosine-based activation motif (ITAM) signaling represent a major pathway for platelet activation. The last section of the thesis provides experimental evidence for redundant functions between the two members of the Grb2 family of adapter proteins - Grb2 and Gads that lie downstream of GPVI and CLEC-2 stimulation. In vitro and in vivo studies in mice deficient in both Grb2 and Gads (DKO) revealed that DKO platelets had defects in (hem)ITAM-stimulation-specific activation, aggregation and signal transduction that were more severe than the defects observed in single Grb2 KO or Gads KO mice. Furthermore, the specific role of these adapters downstream of (hem)ITAM signaling was essential for maintenance of hemostasis but dispensable for the known CLEC-2 dependent regulation of blood-lymphatic vessel separation.
Thus, the main focus of this thesis was to generate and investigate new one-dimensional LC PBI J-aggregates of an entirely new PBI organization with the transition dipole moments of the chromophores arranged parallel to the columnar axis and in slipped pi-pi stacking fashion to form highly fluorescent J-aggregates. Towards this goal, the tetra-bay substituted PBI 4c bearing free NH functional groups at the imide positions and four dendrons with branched ethylhexyl alkoxy chains at the meta-position of the phenoxy spacer (Figure 8.1a) was synthesized and compared to a literature known reference PBI 1. The mesogenic dendrons ensure LC character of the dye, which was confirmed by POM, DSC and extensive X-ray analysis. Furthermore, the sterically demanding bay-substituents prevent the cofacial assembly of the chromophores and force the dyes into a slipped pi-stacked order with the main transition dipole moments of the dyes oriented parallel to the columnar axis. X-ray analysis revealed that PBI 4c assembles into columnar triple-stranded helices consisting of side-to-side stacked molecules, which organize into a Colh phase (Figure 8.1b). FT-IR experiments of a thin film and aggregates in MCH solution confirmed the formation of H-bonds between the imide moieties. Temperature-dependent investigations furthermore proved a reversible formation of H-bonds and polarized FT-IR experiments finally gave evidence for the direction of the H-bonds along the shearing respective the columnar axis (Figure 8.1c). This was additionally verified by polarized UV-Vis absorption studies of aligned thin films. The changes in the UV-Vis absorption spectra of concentration- and temperature-dependent experiments in MCH are in agreement with the formation of J-aggregates and could be fitted to a nucleation-elongation growth mechanism. Remarkably, fluorescence spectroscopy studies revealed highly emissive aggregates in solution. These various spectroscopic techniques proved the utilization of directional noncovalent forces like hydrogen-bonding and pi-pi interactions in a cooperative manner forcing the PBI molecules in an unprecedented organization of a slipped pi-stacked arrangement with the orientation of the molecular axis and the respective transition dipole moments parallel to the columns of the LC phase. By the group of Dietrich the formation of exciton-polaritons in imprinted LC pillar microcavities as consequent use of the LC 4c was reported for the first time.In the second part of this thesis the hierarchical organization of LC PBIs into defined single-, double-, triple- and quadruple-stranded J-aggregates within crystalline and columnar LC phases, partially arranged in helical supramolecular structures in dependence of the molecular design was demonstrated. This was achieved via the preparation of a library of twelve molecules PBI 3-6(a-c) (Figure 8.2a) that was synthesized by varying the substitution position of the dendrons at the phenoxy-spacer from ortho to meta or para and by introducing an additional methyl group in ortho-position. Also the length and shape of the alkoxy chains was changed. Consequently, the impact of the sterical demand of the bay substituents concerning their phase properties, molecular arrangement and exciton coupling was investigated. POM, DSC and X-ray studies revealed the formation of only crystalline phase for the ortho-substituted PBIs 3a-c, whereas the other derivatives generated SC or LC phases. The main focus was the series with the n-C12-alkoxy chains. For the corresponding PBIs 4-6b columnar LC phases were confirmed. Retrostructural analysis by modelling and simulations gave indications for a single stranded organization for PBI 3b, a double-stranded helix for PBI 6b, a triple-stranded helical arrangement for PBI 5b and a quadruple-stranded helix for PBI 4b (Figure 8.2b-d). For all four derivatives the same molecular orientation within the columns as for PBI 4c was proven by polarized FT-IR and UV-Vis absorption studies in aligned thin films. The organization in helices of different number of strands in the Cr and LC phases of PBI 3b, 4b, 5b and 6b offered a unique possibility to elucidate the influence of particular packing arrangements on dye aggregate interactions with light. In particular, it can be investigated how exciton coupling of the dyes’ transition dipole moments and fluorescence properties are affected. In this context, the spectroscopic properties were investigated in thin film, which revealed a strong bathochromic shift of the absorption maxima compared to the monomers in solution in dependence on the number of strands for PBIs 4-6b in contrast to PBI 3b (Figure 8.2e). The same tendency was observed for the respective aggregates in MCH solution. The spectral changes obtained during concentration- and temperature-dependent UV-Vis absorption studies verified the formation of J-aggregates in MCH solution and solid state. The respective aggregates are highly likely formed via a nucleation-elongation growth mechanism. Appliance of Kasha’s exciton theory on the supramolecular aggregates revealed different contributions of H- and J-type coupling for the oligo-stranded helices. Under these considerations, it delivered an explanation for the absorption and fluorescence properties of the assemblies and declares the “best” J-aggregate for the double stranded arrangement of PBI 6b with purely negative couplings among neighbour molecules and a quantum yield above 74 % of the aggregates in MCH solution. With this H-bonded PBI-based library approach of twelve derivatives it could be shown how molecular engineering of perylene bisimide dyes can be used to design defined, complex supramolecular assemblies with unprecedented packing patterns and concomitant intriguing spectroscopic properties.
So far, the formation of defined liquid crystalline supramolecular structures of tetra-bay substituted PBIs by double H-bonding between free imide moieties and pi-pi interactions between the chromophores was demonstrated. The impact of the H-bonds on the molecular arrangement was investigated in the next part of this thesis. In this regard, PBIs 7 and 8 bearing a methyl or cyclohexyl group at the imide position (Figure 8.3a) were synthesized and compared to PBI 4c. The soft character of the solid state for PBIs 7 and 8 was confirmed by POM, DSC and X-ray analysis. The X-ray studies further revealed for both PBIs a change of the molecular assembly towards helical columnar structures of conventional pi-stacked chromophores (Figure 8.3b) when the directed H-bonds cannot contribute as noncovalent interactions to the assembly formation. Temperature-dependent UV-Vis absorption studies demonstrated the importance of H-bonding in MCH solution in the way that the formation of J-aggregates as for PBI 4c could not be observed for the imide substituted molecules. In the next step, the spectroscopic properties in thin film were investigated. For PBI 7 a J-type band and fluorescence spectra with an enlarged Stokes shift and increased fluorescence lifetime of 11.4 ns, compared to PBI 4c, was obtained, suggesting the generation of excimer type emission by considering the assumed conventional stacking of rotational displaced molecules from X-ray analysis. With polarized UV-Vis absorption experiments the orientation of the molecules perpendicular to the shearing direction and subsequently to the columnar axis was confirmed. These diverse investigations clearly demonstrated the imperative of H-bonds for stable, defined, LC J-aggregates with the transition dipole moments parallel to the columnar axis. With PBIs 7 and 8 it is impressively shown how small changes in the molecular structure influence the molecular arrangement dependent on the cooperation of non-covalent interactions like H-bonding and pi-pi stacking.
In the last part of this thesis the generation of two-dimensional LC arrangements is presented. Since tetra-bay substituted PBIs lead always to twisted cores preventing lamellar arrangement, here 1,7-disubstitution and the simultaneous retention of the free imide positions was chosen to generate LC lamellar phases of PBIs 9a, 9b and 10 (Figure 8.4a). This molecular design was expected to form planar perylene cores that can strongly interact by pi-pi stacking and H-bonding. POM, DSC and X-ray investigations of the compounds suggest lamellar LC phases for PBIs 9a and 9b and a soft phase for PBI 10. In this regard, the goal of the formation of LC lamellar phase of PBIs could be attained. The change from dendrons with n-C12-alkoxy chains to large fork-like mesogens like in 9b clearly changed the phase properties. PBI 9b exhibits the lowest clearing point, high phase stability, least viscosity, easy shearability at room temperature and phase transitions between lamellar and Colh phases dependent on temperature. The formation of H-bonds parallel to the layers was demonstrated by polarized FT-IR experiments for all three PBIs. Concentration-dependent UV-Vis absorption studies revealed the formation of a J-type aggregate, which seems to exhibit an overall two-dimensional structure. With STM investigations the formation of lamellar structures from drop-casted 9a and 10 solutions in 1-phenyloctane on HOPG surface could be observed. Figure 8.4b illustrates a schematic possible arrangement of the molecules in the layers (here exemplarily demonstrated for PBI 9a), which has to be further confirmed by modelling and simulations. Unfortunately, fluorescence investigations of the thin films revealed non- or only slightly emissive LC states, which make them negligible for photonic applications. Nevertheless, the synthesized and analyzed compounds might be an inspiration for further investigations on the path to two-dimensional exciton transport for photonic devices.
The expression of genetic information into proteins is a key aspect of life. The efficient and exact regulation of this process is essential for the cell to produce the correct amounts of these effector molecules to a given situation. For this purpose, eukaryotic cells have developed many different levels of transcriptional and posttranscriptional gene regulation. These mechanisms themselves heavily rely on interactions of proteins with associated nucleic acids. In the case of posttranscriptional gene regulation an orchestrated interplay between RNA-binding proteins, messenger RNAs (mRNA), and non-coding RNAs is compulsory to achieve this important function.
A pivotal factor hereby are RNA secondary structures. One of the most stable and diverse representatives is the G-quadruplex structure (G4) implicated in many cellular mechanisms, such as mRNA processing and translation. In protein biosynthesis, G4s often act as obstacles but can also assist in this process. However, their presence has to be tightly regulated, a task which is often fulfilled by helicases.
One of the best characterized G4-resolving factors is the DEAH-box protein DHX36. The in vitro function of this helicase is extensively described and individual reports aimed to address diverse cellular functions as well. Nevertheless, a comprehensive and systems-wide study on the function of this specific helicase was missing, so far.
The here-presented doctoral thesis provides a detailed view on the global cellular function of DHX36. The binding sites of this helicase were defined in a transcriptome-wide manner, a consensus binding motif was deviated, and RNA targets as well as the effect this helicase exerts on them were examined. In human embryonic kidney cells, DHX36 is a mainly cytoplasmic protein preferentially binding to G-rich and G4-forming sequence motifs on more than 4,500 mRNAs. Loss of DHX36 leads to increased target mRNA levels whereas ribosome occupancy on and protein output of these transcripts are reduced. Furthermore, DHX36 knockout leads to higher RNA G4 levels and concomitant stress reactions in the cell. I hypothesize that, upon loss of this helicase, translationally-incompetent structured DHX36 target mRNAs, prone to localize in stress granules, accumulate in the cell. The cell reacts with basal stress to avoid cytotoxic effects produced by these mis-regulated and structured transcripts.
The knee joint is a complex composite joint containing the C-shaped wedge-like menisci composed of fibrocartilage. Due to their complex composition and structure, they provide mechanical resilience to the knee joint protecting the articular cartilage. Because of the limited repair potential, meniscal injuries do not only affect the meniscus itself but also lead to altered joint homeostasis and inevitably to secondary osteoarthritis.
The meniscus was characterized focusing on its anatomy, structure and meniscal markers such as aggrecan, collagen type I (Col I) and Col II. The components relevant for meniscus tissue engineering, namely cells, Col I scaffolds, biochemical and biomechanical stimuli were studied. Meniscal cells (MCs) were isolated from meniscus, mesenchymal stem cells (MSCs) from bone marrow and dermal microvascular endothelial cells (d-mvECs) from foreskin biopsies. For the human (h) meniscus model, wedge-shape compression of a hMSC-laden Col I gel was successfully established. During three weeks of static culture, the biochemical stimulus transforming growth factor beta-3 (TGF beta-3) led to a compact collagen structure. On day 21, this meniscus model showed high metabolic activity and matrix remodeling as confirmed by matrix metalloproteinases detection. The fibrochondrogenic properties were illustrated by immunohistochemical detection of meniscal markers, significant GAG/DNA increase and increased compressive properties. For further improvement, biomechanical stimulation systems by compression and hydrostatic pressure were designed. As one vascularization approach, direct stimulation with ciclopirox olamine (CPX) significantly increased sprouting of hd-mvEC spheroids even in absence of auxiliary cells such as MSCs. Second, a cell sheet composed of hMSCs and hd-mvECs was fabricated by temperature triggered cell sheet engineering and transferred onto the wedge-shaped meniscus model. Third, a biological vascularized scaffold (BioVaSc-TERM) was re-endothelialized with hd-mvECs providing a viable vascularized network. The vascularized BioVaSc-TERM was suggested as wrapping scaffold of the meniscus model by using two suture techniques, the all-inside-repair (AIR) for the posterior horn, and the outside-in-refixation (OIR) for the anterior horn and the middle part.
This meniscus model for replacing torn menisci is a promising approach to be further optimized regarding vascularization, biochemical and biomechanical stimuli.
Cosmology often uses intricate formulas and mathematics to derive new theories and concepts. We do something different in this paper: We look at biological processes and derive from these heuristics so that the revised cosmology agrees with astronomical observations but does also agree with standard biological observations. We show that we then have to replace any type of singularity at the start of the universe by a condensation nucleus and that the very early period of the universe usually assumed to be inflation has to be replaced by a period of rapid crystal growth as in Weiss magnetization domains.
Impressively, these minor modifications agree well with astronomical observations including removing the strong inflation perturbations which were never observed in the recent BICEP2 experiments. Furthermore, looking at biological principles suggests that such a new theory with a condensation nucleus at start and a first rapid phase of magnetization-like growth of the ordered, physical laws obeying lattice we live in is in fact the only convincing theory of the early phases of our universe that also is compatible with current observations.
We show in detail in the following that such a process of crystal creation, breaking of new crystal seeds and ultimate evaporation of the present crystal readily leads over several generations to an evolution and selection of better, more stable and more self-organizing crystals. Moreover, this explains the “fine-tuning” question why our universe is fine-tuned to favor life: Our Universe is so self-organizing to have enough offspring and the detailed physics involved is at the same time highly favorable for all self-organizing processes including life.
This biological theory contrasts with current standard inflation cosmologies. The latter do not perform well in explaining any phenomena of sophisticated structure creation or self-organization. As proteins can only thermodynamically fold by increasing the entropy in the solution around them we suggest for cosmology a condensation nucleus for a universe can form only in a “chaotic ocean” of string-soup or quantum foam if the entropy outside of the nucleus rapidly increases. We derive an interaction potential for 1 to n-dimensional strings or quantum-foams and show that they allow only 1D, 2D, 4D or octonion interactions. The latter is the richest structure and agrees to the E8 symmetry fundamental to particle physics and also compatible with the ten dimensional string theory E8 which is part of the M-theory. Interestingly, any other interactions of other dimensionality can be ruled out using Hurwitz compositional theorem. Crystallization explains also extremely well why we have only one macroscopic reality and where the worldlines of alternative trajectories exist: They are in other planes of the crystal and for energy reasons they crystallize mostly at the same time, yielding a beautiful and stable crystal. This explains decoherence and allows to determine the size of Planck´s quantum h (very small as separation of crystal layers by energy is extremely strong).
Ultimate dissolution of real crystals suggests an explanation for dark energy agreeing with estimates for the “big rip”. The halo distribution of dark matter favoring galaxy formation is readily explained by a crystal seed starting with unit cells made of normal and dark matter.
That we have only matter and not antimatter can be explained as there may be right handed mattercrystals and left-handed antimatter crystals. Similarly, real crystals are never perfect and we argue that exactly such irregularities allow formation of galaxies, clusters and superclusters. Finally, heuristics from genetics suggest to look for a systems perspective to derive correct vacuum and Higgs Boson energies.
In situations of real threat, showing a fear reaction makes sense, thus, increasing the chance to survive. The question is, how could anybody differentiate between a real and an apparent threat? Here, the slogan counts “better safe than sorry”, meaning that it is better to shy away once too often from nothing than once too little from a real threat. Furthermore, in a complex environment it is adaptive to generalize from one threatening situation or stimulus to another similar situation/stimulus. But, the danger hereby is to generalize in a maladaptive manner involving as it is to strong and/or fear too often “harmless” (safety) situations/stimuli, as it is known to be a criterion of anxiety disorders (AD). Fear conditioning and fear generalization paradigms are well suited to investigate fear learning processes. It is remarkable that despite increasing interest in this topic there is only little research on fear generalization. Especially, most research on human fear conditioning and its generalization has focused on adults, whereas only little is known about these processes in children, even though AD is typically developing during childhood. To address this knowledge gap, four experiments were conducted, in which a discriminative fear conditioning and generalization paradigm was used.
In the first two experiments, developmental aspects of fear learning and generalization were of special interest. Therefore, in the first experiment 267 children and 285 adults were compared in the differential fear conditioning paradigm and generalization test. Skin conductance responses (SCRs) and ratings of valence and arousal were obtained to indicate fear learning. Both groups displayed robust and similar differential conditioning on subjective and physiological levels. However, children showed heightened fear generalization compared to adults as indexed by higher arousal ratings and SCRs to the generalization stimuli. Results indicate overgeneralization of conditioned fear as a developmental correlate of fear learning. The developmental change from a shallow to a steeper generalization gradient is likely related to the maturation of brain structures that modulate efficient discrimination between threatening and (ambiguous) safety cues. The question hereby is, at which developmental stage fear generalization gradients of children adapt to the gradients of adults. Following up on this question, in a second experiment, developmental changes in fear conditioning and fear generalization between children and adolescents were investigated. According to experiment 1 and previous studies in children, which showed changes in fear learning with increasing age, it was assumed that older children were better at discriminating threat and safety stimuli. Therefore, 396 healthy participants (aged 8 to 12 years) were examined with the fear conditioning and generalization paradigm. Again, ratings of valence, arousal, and SCRs were obtained. SCRs indicated differences in fear generalization with best fear discrimination in 12-year-old children suggesting that the age of 12 years seems to play an important role, since generalization gradients were similar to that of adults. These age differences were seen in boys and girls, but best discrimination was found in 12-year-old boys, indicating different development of generalization gradients according to sex. This result fits nicely with the fact that the prevalence of AD is higher in women than in men.
In a third study, it was supposed that the developmental trajectory from increased trait anxiety in childhood to manifest AD could be mediated by abnormal fear conditioning and generalization processes. To this end, 394 children aged 8 to 12 years with different scores in trait anxiety were compared with each other. Results provided evidence that children with high trait anxiety showed stronger responses to threat cues and impaired safety signal learning contingent on awareness as indicated by arousal at acquisition. Furthermore, analyses revealed that children with high trait anxiety showed overall higher arousal ratings at generalization. Contrary to what was expected, high trait anxious children did not show significantly more fear generalization than children with low trait anxiety. However, high-trait-anxious (HA) participants showed a trend for a more linear gradient, whereas moderate-trait-anxious (MA) and low-trait-anxious (LA) participants showed more quadratic gradients according to arousal. Additionally, after controlling for age, sex and negative life experience, SCR to the safety stimulus predicted the trait anxiety level of children suggesting that impaired safety signal learning may be a risk factor for the development of AD.
Results provide hints that frontal maturation could develop differently according to trait anxiety resulting in different stimuli discrimination. Thus, in a fourth experiment, 40 typically developing volunteers aged 10 to 18 years were screened for trait anxiety and investigated with the differential fear conditioning and generalization paradigm in the scanner. Functional magnetic resonance imaging (fMRI) were used to identify the neural mechanisms of fear learning and fear generalization investigating differences in this neural mechanism according to trait anxiety, developmental aspects and sex. At acquisition, HA participants showed reduced activation in frontal brain regions, but at generalization, HA participants showed an increase in these frontal regions with stronger linear increase in activation with similarity to CS+ in HA when compared to LA participants. This indicates that there is a hyper-regulation in adolescents to compensate the higher difficulties at generalization in form of a compensatory mechanism, which decompensates with adulthood and/or may be collapsed in manifest AD. Additionally, significant developmental effects were found: the older the subjects the stronger the hippocampus and frontal activation with resemblance to CS+, which could explain the overgeneralization of younger children. Furthermore, there were differences according to sex: males showed stronger activation with resemblance to CS+ in the hippocampus and frontal regions when compared to females fitting again nicely with the observation that prevalence rates for AD are higher for females than males.
In sum, the studies suggest that investigating developmental aspects of (maladaptive) overgeneralization may lead to better understanding of the mechanisms of manifest anxiety disorders, which could result in development and provision of prevention strategies. Although, there is need for further investigations, the present work gives some first hints for such approaches.
The present thesis analyzes whether and - if so - under which conditions mergers result in merger-specific efficiency gains. The analysis concentrates on manufacturing firms in Europe that participate in horizontal mergers as either buyer or target in the years 2005 to 2014.
The result of the present study is that mergers are idiosyncratic processes. Thus, the possibilities to define general conditions that predict merger-specific efficiency gains are limited.
However, the results of the present study indicate that efficiency gains are possible as a direct consequence of a merger. Efficiency changes can be measured by a Total Factor Productivity (TFP) approach. Significant merger-specific efficiency gains are more likely for targets than for buyers. Moreover, mergers of firms that mainly operate in the same segment are likely to generate efficiency losses. Efficiency gains most likely result from reductions in material and labor costs, especially on a short- and mid-term perspective. The analysis of conditions that predict efficiency gains indicates that firm that announce the merger themselves are capable to generate efficiency gains in a short- and mid-term perspective. Furthermore, buyers that are mid-sized firms are more likely to generate efficiency gains than small or large buyers. Results also indicate that capital intense firms are likely to generate efficiency gains after a merger.
The present study is structured as follows.
Chapter 1 motivates the analysis of merger-specific efficiency gains. The definition of conditions that reasonably likely predict when and to which extent mergers will result in merger-specific efficiency gains, would improve the merger approval or denial process.
Chapter 2 gives a literature review of some relevant empirical studies that analyzed merger-specific efficiency gains. None of the empirical studies have analyzed horizontal mergers of European firms in the manufacturing sector in the years 2005 to 2014. Thus, the present study contributes to the existing literature by analyzing efficiency gains from those mergers.
Chapter 3 focuses on the identification of mergers. The merger term is defined according to the EC Merger Regulation and the Horizontal Merger Guidelines. The definition and the requirements of mergers according to legislation provides the framework of merger identification.
Chapter 4 concentrates on the efficiency measurement methodology. Most empirical studies apply a Total Factor Productivity (TFP) approach to estimate efficiency. The TFP approach uses linear regression in combination with a control function approach. The estimation of coefficients is done by a General Method of Moments approach.
The resulting efficiency estimates are used in the analysis of merger-specific efficiency gains in chapter 5. This analysis is done separately for buyers and targets by applying a Difference-In-Difference (DID) approach.
Chapter 6 concentrates on an alternative approach to estimate efficiency, that is a Stochastic Frontier Analysis (SFA) approach. Comparable to the TFP approach, the SFA approach is a stochastic efficiency estimation methodology. In contrast to TFP, SFA estimates the production function as a frontier function instead of an average function. The frontier function allows to estimate efficiency in percent.
Chapter 7 analyses the impact of different merger- and firm-specific characteristics on efficiency changes of buyers and targets. The analysis is based on a multiple regression, which is applied for short-, mid- and long-term efficiency changes of buyers and targets.
Chapter 8 concludes.
Abscission marks the last step of cytokinesis and gives rise to two physically separated daughter cells and a midbody remnant. This work studies abscission by examining the extent of the abscission failure in C. elegans septin and ESCRT mutants with the help of the ZF1-degradation technique. The ZF1 technique is also applied to discern a possible role for PI3K during abscission. Lastly, we test the role of proteins required for macroautophagy but not for LC3-associated phagocytosis (LAP) and show that after release into the extracellular space, the midbody is resolved via LAP.
Morphological and Functional Ultrashort Echo Time (UTE) Magnetic Resonance Imaging of the Human Lung
(2019)
In this thesis, a 3D Ultrashort echo time (3D-UTE) sequence was introduced in the Self-gated Non-Contrast-Enhanced Functional Lung Imaging (SENCEFUL) framework. The sequence was developed and implemented on a 3 Tesla MR scanner. The 3D-UTE technique consisted of a nonselective RF pulse followed by a koosh ball quasi-random sampling order of the k-space. Measurements in free-breathing and without contrast agent were performed in healthy subjects and a patient with lung cancer.
A gating technique, using a combination of different coils with high signal correlation, was evaluated in-vivo and compared with a manual approach of coil selection. The gating signal offered an estimation of the breathing motion during measurement and was used as a reference to segment the acquired data into different breathing phases.
Gradient delays and trajectory errors were corrected during post-processing using the Gradient Impulse Response Function. Iterative SENSE was then applied to determine the fully sampled data.
In order to eliminate signal changes caused by motion, a 3D image registration was employed, and the results were compared to a 2D image registration method.
Ventilation was assessed in 3D and regionally quantified by monitoring the signal changes in the lung parenchyma. Finally, image quality and quantitative ventilation values were compared to the standard 2D-SENCEFUL technique.
3D-UTE, combined with an automatic gating technique and SENCEFUL MRI, offered ventilation maps with high spatial resolution and SNR. Compared to the 2D method, UTE-SENCEFUL greatly improved the clinical quality of the structural images and the visualization of the lung parenchyma.
Through‐plane motion, partial volume effects and ventilation artifacts were also reduced with a three-dimensional method for image registration.
UTE-SENCEFUL was also able to quantify regional ventilation and presented similar results to previous studies.
Protein quality control systems are critical for cellular proteostasis and survival under stress conditions. The ubiquitin proteasome system (UPS) plays a pivotal role in proteostasis by eliminating misfolded and damaged proteins. However, exposure to the environmental toxin arsenite results in the accumulation of polyubiquitylated proteins, indicating an overload of the UPS. Arsenite stress induces the rapid formation of stress granules (SGs), which are cytoplasmic assemblies of mRNPs stalled in translation initiation. The mammalian proteins ZFAND2A/B (also known as AIRAP and AIRAPL, respectively) bind to the 26S proteasome, and ZFAND2A has been shown to adapt proteasome activity to arsenite stress. They belong to a small subfamily of AN1 type zinc finger containing proteins that also comprises the unexplored mammalian member ZFAND1 and its yeast homolog Cuz1.
In this thesis, the cellular function of Cuz1 and ZFAND1 was investigated. Cuz1/ZFAND1 was found to interact with the ubiquitin-selective, chaperone-like ATPase Cdc48/p97 and with the 26S proteasome. The interaction between Cuz1/ZFAND1 and Cdc48/p97 requires a predicted ubiquitin-like domain of Cuz1/ZFAND1. In vivo, this interaction was strongly dependent on acute arsenite stress, suggesting that it is a part of the cellular arsenite stress response. Lack of Cuz1/ZFAND1 caused a defect in the clearance of arsenite induced SG clearance. ZFAND1 recruits both, the 26S proteasome and p97, to arsenite-induced SGs for their normal clearance. In the absence of ZFAND1, SGs lack the 26S proteasome and p97, accumulate defective ribosomal products and become aberrant. These aberrant SGs persist after arsenite removal and undergo degradation via autophagy. ZFAND1 depletion is epistatic to the expression of pathogenic mutant p97 with respect to SG clearance, suggesting that ZFAND1 function is relevant to the multisystem degenerative disorder, inclusion body myopathy associated with Paget’s disease of bone and frontotemporal dementia and amyotrophic lateral sclerosis (IBMPFD/ALS).
In this work models for molecular networks consisting of ordinary differential equations are extended by terms that include the interaction of the corresponding molecular network with the environment that the molecular network is embedded in. These terms model the effects of the external stimuli on the molecular network. The usability of this extension is demonstrated with a model of a circadian clock that is extended with certain terms and reproduces data from several experiments at the same time.
Once the model including external stimuli is set up, a framework is developed in order to calculate external stimuli that have a predefined desired effect on the molecular network. For this purpose the task of finding appropriate external stimuli is formulated as a mathematical optimal control problem for which in order to solve it a lot of mathematical methods are available. Several methods are discussed and worked out in order to calculate a solution for the corresponding optimal control problem. The application of the framework to find pharmacological intervention points or effective drug combinations is pointed out and discussed. Furthermore the framework is related to existing network analysis tools and their combination for network analysis in order to find dedicated external stimuli is discussed.
The total framework is verified with biological examples by comparing the calculated results with data from literature. For this purpose platelet aggregation is investigated based on a corresponding gene regulatory network and associated receptors are detected. Furthermore a transition from one to another type of T-helper cell is analyzed in a tumor setting where missing agents are calculated to induce the corresponding switch in vitro. Next a gene regulatory network of a myocardiocyte is investigated where it is shown how the presented framework can be used to compare different treatment strategies with respect to their beneficial effects and side effects quantitatively. Moreover a constitutively activated signaling pathway, which thus causes maleficent effects, is modeled and intervention points with corresponding treatment strategies are determined that steer the gene regulatory network from a pathological expression pattern to physiological one again.
Major advances in the chemistry of 5th and 6th row heavy p-block element compounds have recently uncovered intriguing reactivity patterns towards small molecules such as H\(_2\), CO\(_2\), and ethylene. However, well-defined, homogeneous insertion reactions with carbon monoxide, one of the benchmark substrates in this field, have not been reported to date. We demonstrate here, that a cationic bismuth amide undergoes facile insertion of CO into the Bi–N bond under mild conditions. This approach grants direct access to the first cationic bismuth carbamoyl species. Its characterization by NMR, IR, and UV/vis spectroscopy, elemental analysis, single-crystal X-ray analysis, cyclic voltammetry, and DFT calculations revealed intriguing properties, such as a reversible electron transfer at the bismuth center and an absorption feature at 353 nm ascribed to a transition involving σ- and π-type orbitals of the bismuth-carbamoyl functionality. A combined experimental and theoretical approach provided insight into the mechanism of CO insertion. The substrate scope could be extended to isonitriles.
Synthetic bone replacement materials have their application in non-load bearing defects with the function of (re-)construction or substitution of bone. This tissue itself represents a biological composite material based on mineralized collagen fibrils and combines the mechanical strength of the mineral with the ductility of the organic matrix. By mimicking these outstanding properties with polymer-cement-composites, an imitation of bone is feasible. A promising approach for such replacement materials are dual setting systems, which are generated by dissolution-precipitation reaction with cement setting in parallel to polymerization and gelation of the organic phase forming a coherent hydrogel network. Hereby, the high brittleness of the pure inorganic network was shifted to a more ductile and elastic behavior.
The aim of this thesis was focused on the development of different dual setting systems to modify pure calcium phosphate cements’ (CPCs’) mechanical performance by incorporation of a hydrogel matrix.
A dual setting system based on hydroxyapatite (HA) and cross-linked 2-hydroxyethyl methacrylate (HEMA) via radical polymerization was advanced by homogenous incorporation of a degradable cross-linker composed of poly(ethylene glycol) (PEG) as well as poly(lactic acid) (PLA) with reactive terminal methacrylate functionalities (PEG-PLLA-DMA). By integration of this high molecular weight structure in the HEMA-hydrogel network, a significant increase in energy absorption (toughness) under 4-point bending testing was observed. An addition of only 10 wt% hydrogel precursor (referred to the liquid phase) resulted in a duplication of stress over a period of 8 days. Additionally, the calculated elasticity was positively affected and up to six times higher compared to pure HA. With a constantly applied force during compressive strength testing, a deformation and thus strain levels of about 10 % were reached immediately after preparation.
For higher degradability, the system was modified in a second approach regarding organic as well as inorganic phase. The latter component was changed by brushite forming cement that is resorbable in vivo due to solubility processes. This CPC was combined with a hydrogel based on PEG-PLLA-DMA and other dimethacrylated PEGs with different molecular weights and concentrations. Hereby, new reaction conditions were created including a shift to acidic conditions. On this ground, the challenge was to find a new radical initiator system. Suitable candidates were ascorbic acid and hydrogen peroxide. that started the polymerization and successful gelation in this environment. These highly flexible dual set composites showed a very high ductility with an overall low strength compared to HA-based models. After removal of the applied force during compressive strength testing, a complete shape recovery was observed for the samples containing the highest polymeric amount (50 wt%) of PEG-PLLA-DMA.
Regarding phase distribution in the constructs, a homogenously incorporated hydrogel network was demonstrated in a decalcifying study with ethylenediaminetetraacetic acid. Intact, coherent hydrogels remained after dissolution of the inorganic phase via calcium ion complexation.
In a third approach, the synthetic hydrogel matrix of the previously described system was replaced by the natural biopolymer gelatin. Simultaneously to brushite formation, physical as well as chemical cross-linking by the compound genipin was performed in the dual setting materials. Thanks to the incorporation of gelatin, elasticity increased significantly, in which concentrations up to 10.0 w/v% resulted in a certain cohesion of samples after compressive strength testing. They did not dissociate in little pieces but remained intact cuboid specimens though having cracks or fissures. Furthermore, the drug release of two active pharmaceutical ingredients (vancomycin and rifampicin) was investigated over a time frame of 5 weeks. The release exponent was determined according to Korsmeyer-Peppas with n = 0.5 which corresponds to the drug liberation model of Higuchi. A sustained release was observed for the antibiotic vancomycin encapsulated in composites with a gelatin concentration of 10.0 w/v% and a powder-to-liquid ratio of 2.5 g/mL.
With respect to these developments of different dual setting systems, three novel approaches were successfully established by polymerization of monomers and cross-linking of precursors forming an incorporated, homogenous hydrogel matrix in a calcium phosphate network. All studies showed an essential transfer of mechanical performance in direction of flexibility and bendability.
Spatial presence is a state in which media users temporarily overlook the mediated nature of their experience.
This study discusses stimulus-dependent structure in spontaneous eye-blink behavior as analternative to presence selfreport measures. To this end, theories and empirical evidence on presence, spontaneous eye-blink behavior, and existing approaches for presence assessment are used to link antecedent processes of presence, especially attention, to presence and structure in blinking behavior.
Three experiments in different media environments relate three different methods for quantification of stimulus-dependent structure to an established presence scale. The results are not conclusive, but raise questions on presence and its measurement, and advance the understanding of stimulus-dependent structure in spontaneous eye-blink behavior.
The number of active pharmaceutical ingredients (APIs) exhibiting a low solubility in aqueous media or a slow dissolution rate kept rising over the past years urging formulation scientists to explore new ways to tackle poor solubility and to enable oral absorption from such compounds. Bioavailability of poorly water-soluble compounds can be improved by increasing the dissolution rate and/or by increasing the gastro intestinal concentration through transient supersaturation. The dissolution rate of the API can be typically modified by the choice of the physical form, the polymorphic form, the powder surface area, and the local pH, while a transient supersaturation can be extended mainly by nucleation or crystallization inhibiting effects. In the present thesis, three strategies were explored to tailor the dissolution rate, the supersaturation and the hydrotropic solubilization of APIs, weak bases, respectively.
The first part of this thesis followed a bioinspired approach to extend the kinetic solubility of salts and co-crystals. API salts and co-crystals are high energy forms that can generate supersaturated solutions with respect to any more stable form, typically the most stable API form in physiological environment. The transient kinetic stabilization of supersaturated states, also termed “parachute effect”, is considered to improve bioavailability and is one aspect of the formulation that can be tailored. Inspiration from plants, which store high concentrations of aromatic bases in their vacuoles via complexation with polyphenols, sparked the evaluation to use hydroxybenzoic acid derivatives for salt or co-crystal engineering. Imatinib was chosen as the model compound for this investigation as its aromaticity and flat molecular architecture could favor interactions with hydroxybenzoic acid derivatives. One 1:1 Imatinib syringate co-crystal (I-SYA (1:1)) and one 1:2 Imatinib syringate co-crystal salt (I-SYA (1:2)) were obtained. Their dissolution assays in simulated intestinal fluid (SIF; a 50 mM phosphate buffer of pH 6.8) revealed that they formed stable solutions for several hours and days, respectively, in contrast to the marketed Imatinib mesylate salt (approx. 1h). This kinetic stability in solution was linked to the nucleation inhibition of the less soluble Imatinib hydrate by syringic acid (SYA). In solution 1H-NMR studies evidenced the aggregation of Imatinib and SYA. The amphiphilic nature of both Imatinib and SYA is considered to drive their association in solution, additionally, multiple intermolecular interactions such as hydrogen bonds and π-π stacking are likely to contribute. The association in solution enabled a phase of extended supersaturation, i.e., a parachute against desupersaturation, while no negative impact of aggregation on the permeability of both Imatinib and SYA was observed.
A prerequisite to reach supersaturation is a rapid dissolution and release of the API from the formulation. Accordingly, the second and third part of this thesis is focused on the so-called “spring effect” of amorphous solid dispersions (ASDs). The addition of a hydrotropic agent, meaning a molecule that can solubilize poorly water-soluble APIs in aqueous solutions (well-known examples of hydrotropes are benzoic acid and nicotinamide) into an amorphous Ciprofloxacin-polymer matrix led to ternary systems with a significantly faster release and higher concentration of the API in SIF as compared to binary ASDs consisting of Ciprofloxacin (CPX) and polymer only. The stronger spring could be rationalized by an improved wetting of the ASD, or/and by a hydrotropic solubilization effect, although these hypotheses need further investigation. Marked differences in the dissolution profiles of binary ASDs were observed in biorelevant fasted simulated intestinal fluid (FaSSIF; a medium containing Na taurocholate (3 mM) and lecithin (0.75 mM) at pH 6.5) as compared to SIF. In FaSSIF, API release from binary polymeric ASDs was largely improved, and the duration of supersaturation was extended. This suggests that the bile salt Na taurocholate and lecithin present in FaSSIF do improve both dissolution rate and supersaturation of ASDs, the two pillars of ASDs as oral enabling formulations. Indeed, bile salts are endogenous surfactants which, together with phospholipids, play an important role in the wetting, solubilization, and absorption of lipophilic compounds.
The aim of the third part of the present thesis was to study ASDs as formulation principles reducing the strong positive food effect of Compound A. By inclusion of Na taurocholate (NaTC) within the matrix of polymeric ASDs a significant improvement of the dissolution rate and the kinetic solubility in SIF were achieved. Transient supersaturated states of up to four orders of magnitude over the equilibrium solubility were obtained. Two ASDs were selected for further in vivo evaluation in dog. The first was a NaTC/Eudragit E based ASD meant to dissolve and release Compound A in the acidic environment of the stomach, where its solubility is the highest. The second relied on the release of Compound A in the neutral environment of the duodenum and jejunum by using an enterically dissolving polymer, HPMC-P. Releasing the API at the site of its putative absorption was an attempt to control supersaturation levels in the duodenum and to prevent portioning and thus dilution effects during transfer from the stomach. In fasted dogs, exposure from the NaTC/HPMC-P ASD was close to that of the reference Compound A formulation under fed conditions, which suggests an improved dissolution rate and kinetic solubility under fasted conditions (historical data). The exposure from the NaTC/Eudragit E ASD was twice as low as from the NaTC/HPMC-P ASD, and also lower compared to Compound A reference formulation, whereas in vitro the parachute effect of the NaTC/Eudragit E ASD was largely superior to that of the NaTC/HPMC-P ASD. A difference in the extend of the parachute could be related to differences in the thermodynamic activity of dissolved molecules from the two ASDs. Indeed, the high instability of the NaTC/HPMC-P ASD could stem from a high thermodynamic activity driving diffusion through membranes, whereas less instable solutions of NaTC/Eudragit E could indicate solubilization effects which often translate into a lower flux through the biological membrane. Additionally, the pH of the environment where dissolution takes place might be an important factor for absorption, and could also account for the difference in exposure from the two ASDs.
The aim of this thesis was to explore how the intimate environment of weak, poorly soluble bases could be functionalized to improve dissolution rate and kinetic solubility. The investigations highlighted that the performance of enabling oral delivery formulations of weak bases in aqueous media can be enhanced at different levels. At one end initial dissolution rate of ASDs can be tailored by introducing hydrotropes or/and bile salts within the polymeric matrix of ASDs. Bile salts, when combined with appropriate polymers, had also a precipitation inhibition effect enabling the maintenance of supersaturation for a bio-relevant period of time. These results set the ground for further investigations to comprehend specific interactions between bile salts and APIs, and potentially polymers at the molecular level. It will be interesting to explore how such complex systems can be exploited in the formulation design of poorly water-soluble APIs. In addition, it was observed that the duration of supersaturation generated by salts/co-crystals can be extended by the pertinent selection of counterions or coformers. The in vivo relevance of these tunings remains to be evaluated, as translation from closed, in vitro systems to the highly dynamic gastrointestinal environment is not straightforward. A better understanding of the contribution of each kinetic stage (dissolution, supersaturation, and precipitation) and their interplay with physiological factors impacting absorption is essential to facilitate the design of formulations with improved pharmacokinetics.
G protein-coupled receptors of the Adhesion family (aGPCRs) comprise the second largest group within the GPCR realm with over 30 mammalian homologs. They contain a unique structure with unusually large extracellular domains (ECDs) holding many structural folds known to mediate cell-cell and cell-matrix interactions. Furthermore, aGPCRs undergo autoproteolytic cleavage at the GPCR proteolysis site (GPS), an integral portion of the GPCR autoproteolysis inducing (GAIN) domain. Thus far, it is largely unknown if and how self-cleavage affects aGPCR activation and signaling and how these signals may shape the physiological function of cells.
Latrophilin, alternatively termed the calcium-independent receptor of α-latrotoxin (CIRL) constitutes a highly conserved, prototypic aGPCR and has been assigned roles in various biological processes such as synaptic development and maturation or the regulation of neurotransmitter release. The Drosophila melanogaster homolog dCIRL is found in numerous sensory neurons including the mechanosensory larval pentascolopidial chordotonal organs (CHOs), which rely on dCIRL function in order to sense mechanical cues and to modulate the mechanogating properties of present ionotropic receptors.
This study reveals further insight into the broad distribution of dCirl expression throughout the larval central nervous system, at the neuromuscular junction (NMJ), as well as subcellular localization of dCIRL in distal dendrites and cilia of chordotonal neurons. Furthermore, targeted mutagenesis which disabled GPS cleavage of dCIRL left intracellular trafficking in larval CHOs unaffected and proved autoproteolysis is not required for dCIRL function in vivo. However, substitution of a threonine residue, intrinsic to a putative tethered agonist called Stachel that has previously been documented for several other aGPCRs, abrogated receptor function. Conclusively, while this uncovered the presence of Stachel in dCIRL, it leaves the question about the biological relevance of the predetermined breaking point at the GPS unanswered. In an independent approach, the structure of the “Inter-RBL-HRM” (IRH) region, the region linking the N-terminal Rhamnose-binding lectin-like (RBL) and the hormone receptor motif (HRM) domains of dCIRL, was analyzed. Results suggest random protein folding, excessive glycosylation, and a drastic expansion of the size of IRH. Therefore, the IRH might represent a molecular spacer ensuring a certain ECD dimension, which in turn may be a prerequisite for proper receptor function.
Taken together, the results of this study are consistent with dCIRL’s mechanoceptive faculty and its role as a molecular sensor that translates mechanical cues into metabotropic signals through a yet undefined Stachel-dependent mechanism.
Immunotherapy with engineered T cells expressing a tumor-specific chimeric antigen receptor (CAR) is under intense preclinical and clinical investigation. This involves a rapidly increasing portfolio of novel target antigens and CAR designs that need to be tested in time- and work-intensive screening campaigns in primary T cells. Therefore, we anticipated that a standardized screening platform, similar as in pharmaceutical small molecule and antibody discovery, would facilitate the analysis of CARs by pre-selecting lead candidates from a large pool of constructs that differ in their extracellular and intracellular modules. Because CARs integrate structural elements of the T cell receptor (TCR) complex and engage TCR-associated signaling molecules upon stimulation, we reasoned that the transcription factors nuclear factor-κB (NF-κB) and nuclear factor of activated T cells (NFAT) could serve as surrogate markers for primary T cell function. The nuclear translocation of both transcription factors in primary T cells, which we observed following CAR stimulation, supported our rationale to use NF-κB and NFAT as indicators of CAR-mediated activation in a screening platform.
To enable standardized and convenient analyses, we have established a CAR-screening platform based on the human T cell lymphoma line Jurkat that has been modified to provide rapid detection of NF-κB and NFAT activation. For this purpose, Jurkat cells contained NF-κB and NFAT-inducible reporter genes that generate a duplex output of cyan fluorescent protein (CFP) and green fluorescent protein (GFP), respectively. Upon stimulation of NF-κB/NFAT reporter cells, the expression of both fluorophores could be readily quantified in high-throughput screening campaigns by flow cytometry.
We modified the reporter cells with CD19-specific and ROR1-specific CARs, and we co-cultured them with antigen-positive stimulator cells to analyze NF-κB and NFAT activation. CAR-induced reporter signals could already be detected after 6 hours. The optimal readout window with high-level reporter activation was set to 24 hours, allowing the CAR-screening platform to deliver results in a rapid turnaround time. A reporter cell-screening campaign of a spacer library with CARs comprising a short, intermediate or long IgG4-Fc domain allowed distinguishing functional from non-functional constructs. Similarly, reporter cell-based analyses identified a ROR1-CAR with 4-1BB domain from a library with different intracellular signal modules due to its ability to confer high NF-κB activation, consistent with data from in vitro and in vivo studies with primary T cells. The results of both CAR screening campaigns were highly reproducible, and the time required for completing each testing campaign was substantially shorter with reporter cells (6 days) compared to primary T cells (21 days). We further challenged the reporter cells in a large-scale screening campaign with a ROR1 CAR library comprising mutations in the VH CDR3 sequence of the R11 scFv. This region is crucial for binding the R11 epitope of ROR1, and we anticipated that mutations here would cause a loss of specificity and affinity for most of the CAR variants. This provided the opportunity to determine whether the CAR screening platform was able to retrieve functional constructs from a large pool of CAR variants. Indeed, using a customized pre enrichment and screening strategy, the reporter cells identified a functional CAR variant that was present with a frequency of only 6 in 1.05x10^6.
As our CAR-screening platform enabled the analysis of activating signal modules, it encouraged us to also evaluate inhibitory signal modules that change the CAR mode of action. Such an inhibitory CAR (iCAR) can be used in logic gates with an activating CAR to interfere with T cell stimulation. By selecting appropriate target antigens for iCAR and CAR, this novel application aims to improve the selectivity towards tumor cells, and it could readily be studied using our screening platform. Accordingly, we tested CD19-specific iCARs with inhibitory PD-1 signal module for their suppressive effect on reporter gene activation. In logic gates with CAR or TCR stimulation, a decrease of NF-κB and NFAT signals was only observed when activating and inhibitory receptors were forced into spatial proximity. These results were further verified by experiments with primary T cells.
In conclusion, our reporter cell system is attractive as a platform technology because it is independent of testing in primary T cells, exportable between laboratories, and scalable to enable small- to large-scale screening campaigns of CAR libraries. The pre-selection of appropriate lead candidates with optimal extracellular and intracellular modules can reduce the number of CAR constructs to be investigated in further in vitro and in vivo studies with primary T cells. We are therefore confident that our CAR-screening platform based on NF-κB/NFAT reporter cells will be useful to accelerate translational research by facilitating the evaluation of CARs with novel design parameters.
Studies on the role of platelet serotonin in platelet function, hemostasis, thrombosis and stroke
(2019)
Platelet activation and aggregation are important processes in hemostasis resulting in reduction of blood loss upon vessel wall injury. However, platelet activation can lead to thrombotic events causing myocardial infarction and stroke. A more detailed understanding of the regulation of platelet activation and the subsequent formation of thrombi is essential to prevent thrombosis and ischemic stroke. Cations, platelet surface receptors, cytoskeletal rearrangements, activation of the coagulation cas-cade and intracellular signaling molecules are important in platelet activation and thrombus formation. One such important molecule is serotonin (5 hydroxytryptamin, 5 HT), an indolamine platelet agonist, biochemically derived from tryptophan. 5 HT is secreted from the enterochromaffin cells into the gastrointestinal tract (GI) and blood. Blood borne 5 HT has been proposed to regulate hemostasis by acting as a vaso-constrictor and by triggering platelet signaling through 5 HT2A receptor. Although platelets do not synthetize 5 HT, they take it up from the blood and store it in their dense granules which are secreted upon platelet activation. To identify the molecu-lar composite of the 5 HT uptake system in platelets and elucidate the role of platelet released 5-HT in thrombosis and ischemic stroke, 5 HT transporter knock out mice (5Htt / ) were analyzed in different in vitro and in vivo assays and in a model of is-chemic stroke. In 5Htt / platelets, 5 HT uptake from the blood was completely abol-ished and agonist-induced Ca2+ influx through store operated Ca2+ entry (SOCE), integrin activation, degranulation and aggregation responses to glycoprotein (GP) VI and C type lectin-like receptor 2 (CLEC 2) were reduced. These observed in vitro defects in 5Htt / platelets could be normalized by the addition of exogenous 5 HT. Moreover, reduced 5 HT levels in the plasma, an increased bleeding time and the formation of unstable thrombi were observed ex vivo under flow and in vivo in the abdominal aorta and carotid artery of 5Htt / mice. Surprisingly, in the transient middle cerebral artery occlusion model (tMCAO) of ischemic stroke 5Htt / mice showed near-ly normal infarct volumes and a neurological outcome comparable to control mice. Although secreted platelet 5 HT does not appear to play a crucial role in the devel-opment of reperfusion injury after stroke, it is essential to amplify the second phase of platelet activation through SOCE and thus plays an important role in thrombus stabilization.
To further investigate the role of cations, granules and their contents and regulation of integrin activation in the process of thrombus formation, genetically modified mice were analyzed in the different in vivo thrombosis models. Whereas Tph1 / mice (lacking the enzyme responsible for the production of 5 HT in the periphery), Trpm7KI (point mu-tation in the kinase domain of Trpm7 channel, lacking kinase activity) and Unc13d / /Nbeal2 / mice (lacking α granules and the release machinery of dense granules) showed a delayed thrombus formation in vivo, MagT1y/ mice (lacking a specific Mg2+ transporter) displayed a pro thrombotic phenotype in vivo. Trpm7fl/fl Pf4Cre (lacking the non specific Mg2+ channel) and RIAM / mice (lacking a potential linker protein in integrin “inside out” signaling) showed no alterations in thrombus formation upon injury of the vessel wall.
Hematopoietic stem cell transplantation is a curative therapy for malignant diseases of the haematopoietic system. The patients first undergo chemotherapy or irradiation therapy which depletes the majority of tumour cells before they receive the transplant, consisting of haematopoietic stem cells and mature T cells from a healthy donor. The donor T cells kill malignant cells that have not been eliminated by the conditioning therapy (graft versus leukaemia effect, GvL), and, therefore, are crucially required to prevent relapse of the tumour. However, the donor T cells may also severely damage the patient’s organs causing acute graft versus host disease (aGvHD). In mice, aGvHD can be prevented by interfering with the co-stimulatory CD28 signal on donor T cells. However, experimental models using conventional CD28 knockout mice as T cell donors or αCD28 antibodies have some disadvantages, i.e. impaired T cell development in the thymus of CD28 knockout mice and systemic CD28 blockade with αCD28 antibodies. Thus, it remains unclear how CD28 co-stimulation on different donor T cell subsets contributes to the GvL effect and aGvHD, respectively.
We developed mouse models of aGvHD and the GvL effect that allowed to selectively delete CD28 on certain donor T cell populations or on all donor T cells. CD4+ conventional T cells (Tconv cells), regulatory T cells (Treg cells) or CD8+ T cells were isolated from either Tamoxifen-inducible CD28 knockout (iCD28KO) mice or their wild type (wt) littermates. Allogeneic recipient mice were then transplanted with T cell depleted bone marrow cells and different combinations of iCD28KO and wt T cell subsets. Tamoxifen treatment of the recipients caused irreversible CD28 deletion on the iCD28KO donor T cell population. In order to study the GvL response, BCL-1 tumour cells were injected into the mice shortly before transfer of the T cells.
CD4+ Tconv mediated aGvHD was efficiently inhibited when wt Treg cells were co-transplanted. In contrast, after selective CD28 deletion on donor Treg cells, the mice developed a late and lethal flare of aGvHD, i.e. late-onset aGvHD. This was associated with a decline in iCD28KO Treg cell numbers around day 20 after transplantation. CD28 ablation on either donor CD4+ Tconv cells or CD8+ T cells reduced but did not abrogate aGvHD. Moreover, iCD28KO and wt CD8+ T cells were equally capable of killing allogeneic target cells in vivo and in vitro. Due to this sufficient anti-tumour activity of iCD28KO CD8+ T cells, they had a therapeutic effect in our GvL model and 25% of the mice survived until the end of the experiment (day 120) without any sign of the malignant disease. Similarly, CD28 deletion on all donor T cells induced long-term survival. This was not the case when all donor T cells were isolated from wt donor mice. In contrast to the beneficial outcome after CD28 deletion on all donor T cells or only CD8+ T cells, selective CD28 deletion on donor CD4+ Tconv cells completely abrogated the GvL effect due to insufficient CD4+ T cell help from iCD28KO CD4+ Tconv cells.
This study demonstrates that therapeutic inhibition of the co-stimulatory CD28 signal in either all donor T cells or only in CD8+ T cells might protect patients from aGvHD without increasing the risk of relapse of the underlying disease. Moreover, deletion of CD28 on donor Treg cells constitutes a mouse model of late-onset aGvHD which can be a useful tool in aGvHD research.
This thesis deals with a new so-called sequential quadratic Hamiltonian (SQH) iterative scheme to solve optimal control problems with differential models and cost functionals ranging from smooth to discontinuous and non-convex. This scheme is based on the Pontryagin maximum principle (PMP) that provides necessary optimality conditions for an optimal solution. In this framework, a Hamiltonian function is defined that attains its minimum pointwise at the optimal solution of the corresponding optimal control problem. In the SQH scheme, this Hamiltonian function is augmented by a quadratic penalty term consisting of the current control function and the control function from the previous iteration. The heart of the SQH scheme is to minimize this augmented Hamiltonian function pointwise in order to determine a control update. Since the PMP does not require any differ- entiability with respect to the control argument, the SQH scheme can be used to solve optimal control problems with both smooth and non-convex or even discontinuous cost functionals. The main achievement of the thesis is the formulation of a robust and efficient SQH scheme and a framework in which the convergence analysis of the SQH scheme can be carried out. In this framework, convergence of the scheme means that the calculated solution fulfills the PMP condition. The governing differential models of the considered optimal control problems are ordinary differential equations (ODEs) and partial differential equations (PDEs). In the PDE case, elliptic and parabolic equations as well as the Fokker-Planck (FP) equation are considered. For both the ODE and the PDE cases, assumptions are formulated for which it can be proved that a solution to an optimal control problem has to fulfill the PMP. The obtained results are essential for the discussion of the convergence analysis of the SQH scheme. This analysis has two parts. The first one is the well-posedness of the scheme which means that all steps of the scheme can be carried out and provide a result in finite time. The second part part is the PMP consistency of the solution. This means that the solution of the SQH scheme fulfills the PMP conditions. In the ODE case, the following results are obtained that state well-posedness of the SQH scheme and the PMP consistency of the corresponding solution. Lemma 7 states the existence of a pointwise minimum of the augmented Hamiltonian. Lemma 11 proves the existence of a weight of the quadratic penalty term such that the minimization of the corresponding augmented Hamiltonian results in a control updated that reduces the value of the cost functional. Lemma 12 states that the SQH scheme stops if an iterate is PMP optimal. Theorem 13 proves the cost functional reducing properties of the SQH control updates. The main result is given in Theorem 14, which states the pointwise convergence of the SQH scheme towards a PMP consistent solution. In this ODE framework, the SQH method is applied to two optimal control problems. The first one is an optimal quantum control problem where it is shown that the SQH method converges much faster to an optimal solution than a globalized Newton method. The second optimal control problem is an optimal tumor treatment problem with a system of coupled highly non-linear state equations that describe the tumor growth. It is shown that the framework in which the convergence of the SQH scheme is proved is applicable for this highly non-linear case. Next, the case of PDE control problems is considered. First a general framework is discussed in which a solution to the corresponding optimal control problem fulfills the PMP conditions. In this case, many theoretical estimates are presented in Theorem 59 and Theorem 64 to prove in particular the essential boundedness of the state and adjoint variables. The steps for the convergence analysis of the SQH scheme are analogous to that of the ODE case and result in Theorem 27 that states the PMP consistency of the solution obtained with the SQH scheme. This framework is applied to different elliptic and parabolic optimal control problems, including linear and bilinear control mechanisms, as well as non-linear state equations. Moreover, the SQH method is discussed for solving a state-constrained optimal control problem in an augmented formulation. In this case, it is shown in Theorem 30 that for increasing the weight of the augmentation term, which penalizes the violation of the state constraint, the measure of this state constraint violation by the corresponding solution converges to zero. Furthermore, an optimal control problem with a non-smooth L\(^1\)-tracking term and a non-smooth state equation is investigated. For this purpose, an adjoint equation is defined and the SQH method is used to solve the corresponding optimal control problem. The final part of this thesis is devoted to a class of FP models related to specific stochastic processes. The discussion starts with a focus on random walks where also jumps are included. This framework allows a derivation of a discrete FP model corresponding to a continuous FP model with jumps and boundary conditions ranging from absorbing to totally reflecting. This discussion allows the consideration of the drift-control resulting from an anisotropic probability of the steps of the random walk. Thereafter, in the PMP framework, two drift-diffusion processes and the corresponding FP models with two different control strategies for an optimal control problem with an expectation functional are considered. In the first strategy, the controls depend on time and in the second one, the controls depend on space and time. In both cases a solution to the corresponding optimal control problem is characterized with the PMP conditions, stated in Theorem 48 and Theorem 49. The well-posedness of the SQH scheme is shown in both cases and further conditions are discussed that ensure the convergence of the SQH scheme to a PMP consistent solution. The case of a space and time dependent control strategy results in a special structure of the corresponding PMP conditions that is exploited in another solution method, the so-called direct Hamiltonian (DH) method.
Inefficient vascularisation of solid tumours leads to the formation of oxygen and nutrient gradients. In order to mimic this specific feature of the tumour microenvironment, a multicellular tumour spheroid (SPH) culture system was used. These experiments were implemented in p53 isogenic colon cancer cell lines (HCT116 p53 +/+ and HCT116 p53-/-) since Tp53 has important regulatory functions in tumour metabolism. First, the characteristics of the cells cultured as monolayers and as spheroids were investigated by using RNA sequencing and metabolomics to compare gene expression and metabolic features of cells grown in different conditions. This analysis showed that certain features of gene expression found in tumours are also present in spheroids but not in monolayer cultures, including reduced proliferation and induction of hypoxia related genes. Moreover, comparison between the different genotypes revealed that the expression of genes involved in cholesterol homeostasis is induced in p53 deficient cells compared to p53 wild type cells and this difference was only detected in spheroids and tumour samples but not in monolayer cultures. In addition, it was established that loss of p53 leads to the induction of enzymes of the mevalonate pathway via activation of the transcription factor SREBP2, resulting in a metabolic rewiring that supports the generation of ubiquinone (coenzyme Q10). An adequate supply of ubiquinone was essential to support mitochondrial electron transport and pyrimidine biosynthesis in p53 deficient cancer cells under conditions of metabolic stress. Moreover, inhibition of the mevalonate pathway using statins selectively induced oxidative stress and apoptosis in p53 deficient colon cancer cells exposed to oxygen and nutrient deprivation. This was caused by ubiquinone being required for electron transfer by dihydroorotate dehydrogenase, an essential enzyme of the pyrimidine nucleotide biosynthesis pathway. Supplementation with exogenous nucleosides relieved the demand for electron transfer and restored viability of p53 deficient cancer cells under metabolic stress. Moreover, the mevalonate pathway was also essential for the synthesis of ubiquinone for nucleotide biosynthesis to support growth of intestinal tumour organoids. Together, these findings highlight the importance of the mevalonate pathway in cancer cells and provide molecular evidence for an enhanced sensitivity towards the inhibition of mitochondrial electron transfer in tumour-like metabolic environments.
The novel PET probe 2-deoxy-2-18F-fluoro-D-sorbitol (18F-FDS) has demonstrated favorable renal kinetics in animals. We aimed to elucidate its imaging properties in two human volunteers. 18F-FDS was produced by a simple one-step reduction from 18F-FDG. On dynamic renal PET, the cortex was delineated and activity gradually transited in the parenchyma, followed by radiotracer excretion. No adverse effects were reported. Given the higher spatiotemporal resolution of PET relative to conventional scintigraphy, 18F-FDS PET offers a more thorough evaluation of human renal kinetics. Due to its simple production from 18F-FDG, 18F-FDS is virtually available at any PET facility with radiochemistry infrastructure.
Maps are the main tool to represent geographical information. Users often zoom in and out to access maps at different scales. Continuous map generalization tries to make the changes between different scales smooth, which is essential to provide users with comfortable zooming experience.
In order to achieve continuous map generalization with high quality, we optimize some important aspects of maps. In this book, we have used optimization in the generalization of land-cover areas, administrative boundaries, buildings, and coastlines. According to our experiments, continuous map generalization indeed benefits from optimization.
The FDA approval of targeted therapy with BRAFV600E inhibitors like vemurafenib and dabrafenib in 2011 has been the first major breakthrough in the treatment of metastatic melanoma since almost three decades. Despite increased progression free survival and elevated overall survival rates, complete responses are scarce due to resistance development approximately six months after the initial drug treatment. It was previously shown in our group that melanoma cells under vemurafenib pressure in vitro and in vivo exhibit features of drug-induced senescence. It is known that some cell types, which undergo this cell cycle arrest, develop a so-called senescence associated secretome and it has been reported that melanoma cell lines also upregulate the expression of different factors after senescence induction. This work describes the effect of the vemurafenib-induced secretome on cells. Conditioned supernatants of vemurafenib-treated cells increased the viability of naive fibroblast and melanoma cell lines. RNA analysis of donor melanoma cells revealed elevated transcriptional levels of FGF1, MMP2 and CCL2 in the majority of tested cell lines under vemurafenib pressure, and I could confirm the secretion of functional proteins. Similar observations were also done after MEK inhibition as well as in a combined BRAF and MEK inhibitor treatment situation. Interestingly, the transcription of other FGF ligands (FGF7, FGF17) was also elevated after MEK/ERK1/2 inhibition. As FGF receptors are therapeutically relevant, I focused on the analysis of FGFR-dependent processes in response to BRAF inhibition. Recombinant FGF1 increased the survival rate of melanoma cells under vemurafenib pressure, while inhibition of the FGFR pathway diminished the viability of melanoma cells in combination with vemurafenib and blocked the stimulatory effect of vemurafenib conditioned medium. The BRAF inhibitor induced secretome is regulated by active PI3K/AKT signaling, and the joint inhibition of mTor and BRAFV600E led to decreased senescence induction and to a diminished induction of the secretome-associated genes. In parallel, combined inhibition of MEK and PI3K also drastically decreased mRNA levels of the relevant secretome components back to basal levels.
In summary, I could demonstrate that BRAF inhibitor treated melanoma cell lines acquire a specific PI3K/AKT dependent secretome, which is characterized by FGF1, CCL2 and MMP2. This secretome is able to stimulate other cells such as naive melanoma cells and fibroblasts and contributes to a better survival under drug pressure. These data are therapeutically highly relevant, as they imply the usage of novel drug combinations, especially specific FGFR inhibitors, with BRAF inhibitors in the clinic.
Surface systems attract great scientific attention due to novel and exotic properties. The atomically structured surfaces lead to a reduced dimensionality which alters electronic correlations, vibrational properties, and their impact on each other. The emerging physical phenomena are not observed for related bulk materials. In this thesis, ordered (sub)monolayers of metal atoms (Au and Sn) on semiconductor substrates (Si(111) and Ge(111)) and ultrathin intermetallic films (CePt5 and LaPt5) on metal substrate (Pt(111)) are investigated by polarized in situ surface Raman spectroscopy. The surface Raman spectra exhibit features of specific elementary excitations like surface phonons and electronic excitations, which are suitable to gain fundamental insights into the surface systems.
The Au-induced surface reconstructions (5x2) and (r3xr3) constitute quasi-one- and two-dimensional Au structures on the Si(111) substrate, respectively. The new reconstruction-related Raman peaks are analyzed with respect to their polarization and temperature behavior. The Raman results are combined with firstprinciples calculations to decide between different proposed structural models. The Au-(5x2)/Si(111) reconstruction is best described by the model of Kwon and Kang, while for Au-(r3xr3)/Si(111) the conjugate honeycomb-chained-trimer model is favored. The Sn-induced reconstructions with 1/3 monolayer on Ge(111) and Si(111) are investigated to reveal their extraordinary temperature behavior. Specific surface phonon modes are identified that are predicted within the dynamical fluctuation model. Contrary to Sn/Si(111), the corresponding vibrational mode of Sn/Ge(111) exhibits a nearly harmonic character. The reversible structural phase transition of Sn/Ge(111) from (r3xr3) to (3x3) is observed, while no phase transition is apparent for Sn/Si(111). Moreover, Raman spectra of the closely related systems Sn-(2r3x2r3)/Si(111) and thin films of a-Sn as well as the clean semiconductor surfaces Si(111)-(7x7) and Ge(111)-c(2x8) are evaluated and compared.
The CePt5/Pt(111) system hosts 4f electrons whose energy levels are modified by the crystal field and are relevant for a description of the observed Kondo physics. In contrast, isostructural LaPt5/Pt(111) has no 4f electrons. For CePt5/Pt(111), distinct Raman features due to electronic Raman scattering can be unambiguously related to transitions between the crystal-field states which are depth-dependent. This assignment is supported by comparison to LaPt5/Pt(111) and group theoretical considerations. Furthermore, the vibrational properties of CePt5 and LaPt5 reveal interesting similarities but also striking differences like an unusual temperature shift of a vibration mode of CePt5, which is related to the influence of 4f electrons.
Automation in Software Performance Engineering Based on a Declarative Specification of Concerns
(2019)
Software performance is of particular relevance to software system design, operation, and evolution because it has a significant impact on key business indicators. During the life-cycle of a software system, its implementation, configuration, and deployment are subject to multiple changes that may affect the end-to-end performance characteristics. Consequently, performance analysts continually need to provide answers to and act based on performance-relevant concerns. To ensure a desired level of performance, software performance engineering provides a plethora of methods, techniques, and tools for measuring, modeling, and evaluating performance properties of software systems. However, the answering of performance concerns is subject to a significant semantic gap between the level on which performance concerns are formulated and the technical level on which performance evaluations are actually conducted. Performance evaluation approaches come with different strengths and limitations concerning, for example, accuracy, time-to-result, or system overhead. For the involved stakeholders, it can be an elaborate process to reasonably select, parameterize and correctly apply performance evaluation approaches, and to filter and interpret the obtained results. An additional challenge is that available performance evaluation artifacts may change over time, which requires to switch between different measurement-based and model-based performance evaluation approaches during the system evolution. At model-based analysis, the effort involved in creating performance models can also outweigh their benefits.
To overcome the deficiencies and enable an automatic and holistic evaluation of performance throughout the software engineering life-cycle requires an approach that: (i) integrates multiple types of performance concerns and evaluation approaches, (ii) automates performance model creation, and (iii) automatically selects an evaluation methodology tailored to a specific scenario. This thesis presents a declarative approach —called Declarative Performance Engineering (DPE)— to automate performance evaluation based on a humanreadable specification of performance-related concerns. To this end, we separate the definition of performance concerns from their solution. The primary scientific contributions presented in this thesis are:
A declarative language to express performance-related concerns and a corresponding processing framework:
We provide a language to specify performance concerns independent of a concrete performance evaluation approach. Besides the specification of functional aspects, the language allows to include non-functional tradeoffs optionally. To answer these concerns, we provide a framework architecture and a corresponding reference implementation to process performance concerns automatically. It allows to integrate arbitrary performance evaluation approaches and is accompanied by reference implementations for model-based and measurement-based performance evaluation.
Automated creation of architectural performance models from execution traces:
The creation of performance models can be subject to significant efforts outweighing the benefits of model-based performance evaluation. We provide a model extraction framework that creates architectural performance models based on execution traces, provided by monitoring tools.The framework separates the derivation of generic information from model creation routines. To derive generic information, the framework combines state-of-the-art extraction and estimation techniques. We isolate object creation routines specified in a generic model builder interface based on concepts present in multiple performance-annotated architectural modeling formalisms. To create model extraction for a novel performance modeling formalism, developers only need to write object creation routines instead of creating model extraction software from scratch when reusing the generic framework.
Automated and extensible decision support for performance evaluation approaches:
We present a methodology and tooling for the automated selection of a performance evaluation approach tailored to the user concerns and application scenario. To this end, we propose to decouple the complexity of selecting a performance evaluation approach for a given scenario by providing solution approach capability models and a generic decision engine. The proposed capability meta-model enables to describe functional and non-functional capabilities of performance evaluation approaches and tools at different granularities. In contrast to existing tree-based decision support mechanisms, the decoupling approach allows to easily update characteristics of solution approaches as well as appending new rating criteria and thereby stay abreast of evolution in performance evaluation tooling and system technologies.
Time-to-result estimation for model-based performance prediction:
The time required to execute a model-based analysis plays an important role in different decision processes. For example, evaluation scenarios might require the prediction results to be available in a limited period of time such that the system can be adapted in time to ensure the desired quality of service. We propose a method to estimate the time-to-result for modelbased performance prediction based on model characteristics and analysis parametrization. We learn a prediction model using performancerelevant features thatwe determined using statistical tests. We implement the approach and demonstrate its practicability by applying it to analyze a simulation-based multi-step performance evaluation approach for a representative architectural performance modeling formalism.
We validate each of the contributions based on representative case studies. The evaluation of automatic performance model extraction for two case study systems shows that the resulting models can accurately predict the performance behavior. Prediction accuracy errors are below 3% for resource utilization and mostly less than 20% for service response time. The separate evaluation of the reusability shows that the presented approach lowers the implementation efforts for automated model extraction tools by up to 91%. Based on two case studies applying measurement-based and model-based performance evaluation techniques, we demonstrate the suitability of the declarative performance engineering framework to answer multiple kinds of performance concerns customized to non-functional goals. Subsequently, we discuss reduced efforts in applying performance analyses using the integrated and automated declarative approach. Also, the evaluation of the declarative framework reviews benefits and savings integrating performance evaluation approaches into the declarative performance engineering framework. We demonstrate the applicability of the decision framework for performance evaluation approaches by applying it to depict existing decision trees. Then, we show how we can quickly adapt to the evolution of performance evaluation methods which is challenging for static tree-based decision support systems. At this, we show how to cope with the evolution of functional and non-functional capabilities of performance evaluation software and explain how to integrate new approaches. Finally, we evaluate the accuracy of the time-to-result estimation for a set of machinelearning algorithms and different training datasets. The predictions exhibit a mean percentage error below 20%, which can be further improved by including performance evaluations of the considered model into the training data. The presented contributions represent a significant step towards an integrated performance engineering process that combines the strengths of model-based and measurement-based performance evaluation. The proposed performance concern language in conjunction with the processing framework significantly reduces the complexity of applying performance evaluations for all stakeholders. Thereby it enables performance awareness throughout the software engineering life-cycle. The proposed performance concern language removes the semantic gap between the level on which performance concerns are formulated and the technical level on which performance evaluations are actually conducted by the user.