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Clean water is fundamental to human health and ecosystem integrity. However, water quality deteriorates due to novel anthropogenic pollutants present at microgram per liter concentrations in urban water cycles (termed micropollutants). Wastewater treatment plants (WWTP) have been identified as major point sources for aquatic (micro-)pollutants. Chemical and ecotoxicological analyses have shown that conventional biological WWTPs do not fully remove micropollutants and associated toxicities, which is often because of mobile, polar and/or recalcitrant compounds and transformation products (TPs). To minimize possible environmental risks, advanced wastewater treatment (AWWT) technologies could be a promising mitigation measure. Multiple processes are therefore being developed and evaluated such as ozonation and ozonation followed by granulated activated carbon (GAC) or biological filtration. Assessing the performance of these combined AWWTs was the focus the TransRisk project. Within this project, this thesis accomplished four major goals.
Firstly, the preparation of (waste)water samples was optimised for in vitro bioassays. Acidification, filtration and solid phase extraction (SPE) were tested for their impact on environmentally relevant in vitro endocrine activities, mutagenicity, genotoxicity and cytotoxicity. Significantly different outcomes of these assays were detected comparing neutral and acidified samples. Sample filtration had a lesser impact, but in some cases retention of particle-bound compounds could have caused significant toxicity losses. Out of three SPE sorbents the Telos C18/ENV at sample pH 2.5 extracted highest toxicity, some undetected in aqueous samples. These results indicate that sample preparation needs to be optimised for specific sample matrices and bioassays to avoid false-positive or -negative detects in effect-based analyses.
Secondly, the above listed in vitro toxicities were monitored in a protected region for drinking water production in South-West Germany (2012-2015). Out of 30 sampling sites surface water and groundwater were the least polluted. Nonetheless, a few groundwater samples induced high anti-estrogenic activity that prompted further monitoring. The latter included a waterworks in which no toxicity was detected. Hospital wastewater also had elevated in vitro toxicities and hospitals are, thus, relevant intervention points for source control. The biological WWTPs were effective in removing most of the detected toxicity, and the selected bioassays proved to be pertinent tools for water quality assessment and prioritisation of pollution hotspots.
Thirdly, the in vivo bioassay ISO10872 based on Caenorhabditis elegans (C. elegans) was adapted for this thesis. Using this model, a median effect concentration (EC50) for reproductive toxicity of the polycyclic aromatic hydrocarbon β-naphthoflavone (β- NF) of 114 µg/L was computed which is slightly lower than reported in the scientific literature. β-NF induced cyp-35A3::GFP (a biomarker in transgenic animals) in a time and concentration dependent manner (≤ 21.3–24 fold above controls). β-NF spiked wastewater samples supported earlier hypotheses on particle-bound pollutants. Reproductive toxicity (96 h) and cyp-35A3 induction (24 h) of biologically treated and/or ozonated wastewater extracts and growth promoting effects of GAC/biologically filtered ozonated wastewater extracts were observed. This suggested the presence of residual bioactive/toxic chemicals not included in the targeted chemical analysis. It also highlighted the importance of integrating multiple (apical and molecular) endpoints in wastewater assessments.
Fourthly, five in vitro and the adapted C. elegans bioassay were integrated into a wastewater quality evaluation (developed within TransRisk). Out of the five AWWT options, ozonation (at 1 g O3,applied/g DOC, HRT ~ 18 min) combined with nonaerated GAC filtration was rated most effective for toxicity removal. All five AWWTs largely removed estrogenic and (anti-)androgenic activities, but not anti-estrogenic activity and mutagenicity, which even increased during ozonation. This has been observed in related studies and points towards toxic TPs. These results also emphasized the need for implementing an effective post-treatment for ozonation. The results from a parallel in vivo study with Lumbriculus variegatus and Potamopyrgus antipodarum conducted on site at the WWTP (using flow through systems) were in accordance with the C. elegans results. In this context, it is suggested to further implement C. elegans as sensitive, feasible and ecologically relevant model.
In conclusion, this thesis shows how optimised sample preparation, long-term (in vitro) environmental monitoring, sensitive and ecologically relevant (in vivo) bioassays as well as innovative evaluation concepts, are pivotal in improving the removal of micropollutants and their toxicities with AWWTs. Future research should further develop and evaluate measures at sewer systems, conventional biological, tertiary and other advanced treatment technologies, as well as sociopolitical strategies (e.g., source control or natural conservation) and restoration projects. The effect-based tools optimised in this thesis will support assessing their success.
In the past decades, the use and production of chemicals has been on the rise globally due to increasing industrialization and intensive agriculture; resulting in the occurrence and ecotoxicological risks of chemicals of emerging concern (CECs) in the aquatic compartments. Risks include changes in community structure resulting in the dominance of one species and ecosystem imbalance. When dominant disease-causing organisms are in the environment, the disease transmission is increased. For example, host snails for the schistosomiasis, a human trematode disease, are known to be tolerant to pesticide
exposure compared to the predators. This would therefore result in an increased abundance of snails which consequently increase the disease transmission in the human population.
Kenya, being a low income country faces a lot of challenges with provision of clean water, diseases and sanitation facilities, and increasing population which results in intensive agriculture coupled with pesticide use. Although a lot of research has been carried out on the environmental occurrence and risk of CECs (Chapter 1), most of these studies have been done in developed countries with limited information from Africa. Additionally, research in Africa focused on urban areas with limited number of compounds analyzed and mostly in the water phase, and inadequate information on the effects of CECs on the aquatic organisms. In order to reduce this knowledge gap, this dissertation focused on identification and quantification of CECs present in water, sediment and snails from western Kenya, and the contribution of pesticides to the transmission of schistosomiasis.
Chapter 2 gives a summary of the results and discussion of the dissertation. In Chapter 3, a comprehensive chemical analysis was carried out on 48 water samples to identify compounds, spatial patterns and associated risks for fish, crustacean and algae using toxic unit (TU) approach. A total of 78 compounds were detected with pesticides and biocides being the compounds most frequently detected. Spatial pattern analysis revealed limited compound grouping based on land use. Acute risk for crustaceans and algae were driven by one to three individual compounds. These compounds responsible for toxicity were prioritized as candidate compounds for monitoring and regulation in Kenya.
In Chapter 4, an extension of Chapter 3 was done to cover the CECs present in snails and sediment from the 48 sites. A total of 30 compounds were found in snails and 78 in sediments with 68 additional compounds being found which were not previously detected in water. Higher contaminant concentrations were found in agricultural sites than in areas without anthropogenic activities. The highest acute toxicity (TU 0.99) was determined for crustaceans based on compounds in sediment samples. The risk was driven by diazinon and pirimiphos-methyl. Acute and chronic risks to algae were driven by diuron whereas fish were found to be at low to no acute risk.
In Chapter 5, the effect of pesticide contamination on schistosomiasis transmission was evaluated by applying complimentary laboratory and field studies. In the field studies, the ecological mechanisms through which pesticides and physical chemical parameters affect host snails, predators and competitors were investigated. Pesticide data was obtained from the results in chapter 3. The overall distribution of grazers and predators was not affected by pesticide pollution. However, within the grazers, pesticide pollution increased dominance of host snails. On the contrary, the host-snail competitors were highly sensitive to pesticide exposure. For the laboratory studies, macroinvertebrates including Schistosoma-host snails, competitors and predators were exposed to 6 concentrations levels of imidacloprid and diazinon. Snails showed higher insecticide tolerance compared to competitors and predators. Finally, Chapter 6 summarizes the conclusions of this dissertation, placing it in a broader
context. In this dissertation, a comprehensive chemical characterization and risk assessment of CECs has been carried out in freshwater systems; together with the effects of pesticides on schistosomiasis transmission in rural western Kenya. Results of this dissertation showed that rural areas are contaminated posing a risk to aquatic organisms which contribute to schistosomiasis transmission. This shows the need for regular monitoring and policy formulation to reduce pollutant emissions which contributes negatively to both ecological and human health effects.
The main focus of research in the field of high-energy heavy-ion physics is the study of the quark-gluon plasma (QGP). Topic of the present work is the measurement of electron-positron pairs (dielectrons), which grant direct access to some of the key properties of this state of matter, since after their formation they leave the hot and dense medium without significant interaction. In particular, the measurement of the initial QGP temperature is considered a "holy grail" of heavy-ion physics. Therefore, in addition to the analysis of existing data, a feasibility study has been conducted to determine to which extent this goal would be achievable by upgrading the ALICE experiment at CERN.
Dielectrons are produced during all stages of a heavy-ion collision, with their invariant mass reflecting the amount of energy available at the time of their formation. Dielectrons of highest mass are thus produced in the initial scatterings of the colliding nuclei by quark-antiquark annihilation. Correlated electron-positron pairs can also emerge from the decay chains of early-produced pairs of heavy-flavour (HF) particles. During the QGP stage and at the beginning of the hadronic phase, the system emits thermal radiation in the form of photons and dielectrons, which carry information about the medium temperature to the observer. In the final stage of the collision, decays of light-flavour (LF) hadrons produce additional contributions to the dielectron spectrum.
The present work is based on early data from the ALICE experiment recorded from lead-lead collisions at a center-of-mass energy of 2.76 TeV. Due to the limited amount of data, a focus is placed on achieving high efficiencies throughout the analysis. To this end, a special electron identification strategy is developed and a custom track selection applied, together resulting in a tenfold increase in pair efficiency. The dielectron spectrum is evaluated on a statistical basis, using a pair prefilter, which is optimized based on two signal quality criteria, to reduce the fraction of electrons and positrons from unwanted sources at minimum signal loss. In addition, an artifact of the track reconstruction is exploited to suppress pairs from photon conversions and to correct the dielectron yield for a contribution from different-conversion pairs. The main signal uncertainty is extracted from the deviation between results of 20 analysis settings and amounts to 20% in most of the studied kinematic range.
For comparison with the analysis results, a hadronic cocktail consisting of the LF and HF contributions is simulated, which can reasonably well describe the measured dielectron production, with a hint of an enhancement at low invariant mass. Two approaches to model the in-medium modification of the heavy-flavour are followed, resulting in up to 50% suppression, which creates some additional space for a thermal contribution at intermediate mass.
For a complete comparison between experimental data and theoretical expectation, two model calculations are consulted. The Thermal Fireball Model provides predictions for thermal dielectron radiation from the QGP and hadron gas. The data tends to be better described with these additional thermal contributions. For a comparison with a prediction by the UrQMD model, the HF component of the cocktail is subtracted from the data. This results in better agreement if the HF suppression by in-medium effects is taken into account.
The feasibility study in this work has served as a physical motivation for the ALICE upgrade for LHC Run 3. The precision with which the early temperature of the QGP can be determined via dielectrons is chosen as key observable. A multitude of individual contributions are merged into a fully modeled dielectron analysis. The resulting signal-to-background ratio represents some of the expected systematic uncertainties, while from the significance combined with the planned number of lead-lead collisions a realistic "measurement" with statistical fluctuations around the expected dielectron signal is generated using a Poisson sampling technique. Since the HF yield exceeds the QGP thermal radiation by about an order of magnitude, an additional analysis step exploiting the enhanced track reconstruction is introduced to reduce its contribution by up to a factor of five. The resulting reduction in pair efficiency is overcompensated by an up to hundred times higher collision rate. The entire cocktail is then subtracted from the sampled data to isolate the thermal excess yield. The final analysis of this spectrum shows that the inverse slope of the model prediction, which depends directly on the QGP temperature, can be reproduced within statistical and systematic uncertainties of about 10%.
The promising results of this study have contributed on the one hand to the realization of the ALICE upgrade and to a design decision for the new Inner Tracking System, and at the same time represent exciting predictions for upcoming measurements.
Das Feld der Hochenergie-Schwerionenforschung hat sich der Untersuchung des Quark-Gluon-Plasmas (QGP) gewidmet. Ein QGP ist ein sehr heißer und dichter Materiezustand, der kurz nach dem Urknall für einige Mikrosekunden das Universum füllte. Unter diesen extremen Bedingungen sind die fundamentalen Bausteine der Materie, die Quarks und Gluonen, quasi frei, also nicht in Hadronen eingeschlossen, wie es unter normalen Bedingungen der Fall ist. Hadronen sind Teilchen, die aus Quarks und Gluonen bestehen. Die bekanntesten Hadronen sind Protonen und Neutronen, die Bestandteile von Atomkernen, aus denen, zusammen mit Elektronen, die gesamte bekannte Materie aufgebaut ist.
Um ein QGP im Labor zu erzeugen, lässt man ultrarelativistische schwere Ionen, wie zum Beispiel Pb-208-Kerne, aufeinander prallen. Dies geschieht am CERN, dem größten Kernforschungszentrum der Welt. Der Teilchenbeschleuniger, welcher Protonen und Pb-Kerne beschleunigt und zur Kollision bringt, heißt Large Hadron Collider (LHC) und ist mit 27 km Umfang der größte der Welt. Bei einer einzigen Pb-Pb Kollision am LHC werden mehrere Tausend Teilchen und Antiteilchen erzeugt. Das dedizierte Experiment zur Untersuchung von Schwerionenkollisionen am LHC ist ALICE. ALICE ist mit mehreren Teilchendetektoren ausgerüstet, die es ermöglichen, tausende Teilchen gleichzeitig zu messen und zu identifizieren.
Unter den produzierten Teilchen befinden sich auch leichte Atomkerne, wenngleich diese nur sehr selten erzeugt werden. Die Anzahl der produzierten Teilchen pro Teilchensorte hängt nämlich von deren Masse ab. In Pb-Pb Kollisionen am LHC sinkt die Anzahl der produzierten (Anti)kerne exponentiell um einen Faktor 1/330 bei Hinzufügen jedes weiteren Nukleons. Die Menge an produzierten Teilchen pro Spezies stellt Informationen über den Produktionsmechanismus beim Übergang vom QGP zum Hadrongas zur Verfügung. Hierbei sind leichte (Anti)kerne von besonderem Interesse, da sie vergleichsweise groß sind und ihre Bindungsenergie bis zu zwei Größenordnungen kleiner ist als die Temperaturen, die bei der Erzeugung der Hadronen vorherrschen. Es ist bis heute noch nicht verstanden, wie leichte (Anti)kerne bei diesen Bedingungen erzeugt werden und überleben können.
Für diese Arbeit wurden ca. 270 Millionen Pb-Pb Kollisionen bei einer Schwerpunktsenergie von 5,02 TeV, die von ALICE im November 2018 aufgezeichnet wurden, analysiert. Es wurde die Produktion von (Anti)triton und (Anti)alpha untersucht. Wegen ihrer großen Masse werden beide Kerne sehr selten produziert, bei weitem nicht bei jeder Kollision. Antialpha ist der schwerste Antikern, der jemals gemessen wurde. Aufgrund dieser Seltenheit ist die Größe des zur Verfügung stehenden Datensatzes entscheidend. Es war möglich, das erste jemals gemessene Antialpha-Transversalimpulsspektrum zu extrahieren. Auch für (Anti)triton und Alpha wurden Transversalimpulsspektren bestimmt.
Die Ergebnisse wurden mit theoretischen Modellen und anderen ALICE Messungen verglichen.
Am Ende wird in einem Ausblick auf das kürzlich durchgeführte Upgrade der ALICE Spurendriftkammer (TPC) eingegangen. In der nächsten, bald startenden Datennahmeperiode wird der LHC seine Kollisionsrate erheblich erhöhen, was es ermöglichen wird, mehr als 100 mal so viele Daten wie bisher aufzuzeichnen. Hiervon werden die in dieser Arbeit beschriebenen (Anti)triton- und (Anti)alpha-Analysen beachtlich profitieren. Um mit den erheblich höheren Kollisionsraten zurecht zu kommen, mussten einige Detektoren, unter anderem die TPC, maßgeblich erneuert werden. In den ersten beiden Datennahmeperioden wurde die TPC mit Vieldrahtproportionalkammern betrieben. Diese sind allerdings viel zu langsam für die geplanten Kollisionsraten. Deshalb wurden sie im Jahr 2019, während einer langen Betriebspause des LHC, durch Quadrupel-GEM (Gas Electron Multiplier) Folien basierte Auslesekammern ersetzt, welche eine kontinuierliche Auslese der TPC ermöglichen. Da es sich um die erste jemals gebaute GEM TPC im Großformat handelt, war ein umfangreiches Forschungs- und Entwicklungs- (F&E) Programm notwendig, um die GEM Auslesekammern zu charakterisieren und zu testen. Im Rahmen dieses F&E Programms wurden am Anfang dieser Promotion systematische Messungen an einer kleinen Test TPC mit Quadrupel-GEM Auslese, die extra zu diesem Zweck gebaut worden war, durchgeführt. Hierbei wurde der Rückfluss der bei der Gasverstärkung erzeugten Ionen in das Driftvolumen der TPC und die Energieauflösung mit verschiedenen GEM Folien Typen und unterschiedlicher Anordnung gemessen. Das Ziel war, möglichst kleine Ionenrückflüsse bei möglichst guter Energieauflösung zu erreichen. Hierbei musste ein Kompromiss gefunden werden, da die beiden Größen sich gegenläufig verhalten. Es war jedoch möglich, mit mehreren GEM Konfigurationen Spannungseinstellungen zu identifizieren, bei denen beide Größen den gewünschten Anforderungen entsprachen.
In recent years, several neuronal differentiation protocols were published that circumvent the requirement of embryoid body (EB) formation under serum-deprivation and simplified medium conditions. But a neuronal default model to establish an approach that works efficiently for all pluripotent cells and neuronal precursors is still lacking. Whether such a default neural mechanism exist and how this is implemented across a broad spectrum of cell source, is addressed in several studies and still controversially discussed. It was proposed that the default neuronal fate is initiated in the absence of extrinsic signals and is achieved by eliminating extracellular inhibitors of neuroectodermal fate and suppressing cell-cell signalling through limited cell density. Previous studies reported that ESC and ECC grown at low density and in absence of exogenous factors or feeder layers die within 24 h but acquire a neural identity as indicated by expression of the neural marker Nestin. Thus, this application is not suitable for generating neural cultures. Furthermore, it was reported that P19 cells survive and express neuroectodermal marker genes in serum-free DMEM/F12 medium containing transferrin, insulin, and selenite, although no neurites were identified.
Based on this background, in this study, a novel approach to induce neuronal differentiation in vitro was developed that implements a nutrient-poor environment, which, in contrast to previous studies, ensures the survival of neuronally differentiated cells over a long period of time and allows normal formation of neurites. Neither the formation of free-floating aggregates nor supplementation of growth factors or known inducers was required to establish a reliable neuronal differentiation protocol. A simple medium, consisting of DMEM/F12+N2 that was highly diluted in salt solution, was sufficient to drive a fast neuronal differentiation in monolayer cultures. Serum deprivation and strong dilution of DMEM/F12+N2 medium cause a nutrient-poor environment in which the influence of growth factors and inducers is minimized. This medium creates a metabolically defined environment that is presumably free of extrinsic signals that prevent the decision of neuronal fate. Analysis of the medium components discovered no actual inducer. Hence, it was suggested that the metabolic composition of the medium exclusively covers specific cell requirements of neurons, therefore ensures their survival, and drives the switch from pluripotent cells to neurons. The self-developed method was established by usage of the murine embryonal carcinoma cell line P19 and could be transferred to murine ESC. Consequently, the method could provide a feasible protocol for a generally valid neuronal default model.
The established protocol provides several advantages such as the possibility to generate stable pure neuronal cultures by a fast, simple, and highly reproducible one-step induction under defined medium conditions with a minimum of exogen effectors. The method is characterised by clear and steady medium conditions that makes the investigation of specific cell requirements during differentiation accessible. It is therefore expected to be a useful tool to investigate the molecular basis of neuronal differentiation as well as for high throughput screenings. The phenotype of mature postmitotic neurons was arising within one week and cultures were shown to stay stable at least for three weeks. The neuronal identity was confirmed by expression of neuronal markers through immunofluorescence staining and mass spectrometry analysis. Furthermore, increased levels of axon markers were detected in early neuronal differentiation and functionality of the synapses of the P19-derived neurons was ascertained by detection of calcium activity. Axonal laser ablation, immediately followed by fast regrowth of connections in the neuronal network, revealed a strong regeneration potential under the given conditions. Furthermore, the generated neurons showed a morphologically distinct phenotype and the formation of neural rosettes. Immunofluorescence staining demonstrated the generation of pure and homogeneous neuronal cultures, free of glial cells.
Retinoic acid (RA) plays an essential role in cell signalling during embryogenesis and efficiently induces neuronal differentiation in vitro in a concentration dependent manner. Neither retinol nor retinoic acid was included in any of the components of the self-prepared medium in this work. However, I observed, dependence on RARβ- and/or RARγ-regulated RA signalling in serum-free monolayer cultures. Nevertheless, neuronal differentiation in serum-free monolayer cultures was assumed to be RARα-independent because (i) RARα was slightly downregulated after neuronal induction, (ii) the truncated RARα of the RAC65 mutant had no effect on induction efficiency, and (iii) a pan-RAR inhibitor suppressed neuronal differentiation. In contrast to serum-free monolayer cultures, the truncated RARα prevented neuronal differentiation by application of the conventional protocol where cells are grown in free floating cell aggregates in serum-containing medium. Proteome analysis of P19 cells, treated by the self-developed differentiation protocol over five days showed increased levels of cellular RA binding proteins that mediate the cellular RA transport and are involved in canonical as well as non-canonical RA signalling.
...
Genetic engineering of Saccharomyces cerevisiae for improved cytosolic isobutanol biosynthesis
(2021)
The finite nature of fossil resources and the environmental problems caused by their excessive usage requires alternative approaches. The transformation from a fossil based economy to one based on renewable biomass is called a “bioeconomy”. To substitute fossil resources, various microorganisms have already been modified for the biosynthesis of valuable chemicals from biomass. However, the development of such efficient microorganisms at an industrial scale, remains a major challenge. The most prominent and robust microorganism for industrial production is the yeast Saccharomyces cerevisiae, which is known to produce ethanol that is used as renewable biofuel. However, S. cerevisiae is also naturally able to produce isobutanol in small amounts. Isobutanol is favoured as a biofuel compared to ethanol due to its higher octane number and lower hygroscopicity, which makes it more suitable for application in conventional combustion engines. In S. cerevisiae, the biosynthesis of isobutanol is permitted by the combination of mitochondrial valine synthesis (catalysed by Ilv2, Ilv5 and Ilv3) and its cytosolic degradation (catalysed by Aro10 and Adh2). The different compartmentalisation of the two pathways limit isobutanol biosynthesis. Thus, Brat et al. (2012) were able to increase the isobutanol yield up to 15 mg/gGlc by cytosolic re localisation of the enzymes Ilv2Δ54, Ilv5Δ48 and Ilv3Δ19 (cyt-ILV), with simultaneous deletion of ilv2. This corresponds to approximately 3.7% of the theoretical yield of 410 mg/gGlc, implying existing limitations in isobutanol biosynthesis, which have been investigated in this work.
For yet unknown reasons, isobutanol was only produced by S. cerevisiae in a valine free medium, according to Brat et al. (2012). This work shows that this can be attributed to the catalytic activity of Ilv2Δ54, which acted as growth inhibitor to S. cerevisiae. By this logic, a negative selection on the ILV2∆54 gene was exerted, which made the ilv2 deletion and simultaneous valine exclusion necessary to maintain the functional expression of toxic ILV2∆54. Furthermore, it was shown that valine exclusion is not mandatory due to the feedback regulation of Ilv2, permitted by Ilv6. Rather, increased isobutanol yield was observed when cytosolic Ilv6∆61 was expressed in the valine free medium, which is explained by the enhanced regulation of Ilv2Δ54 by Ilv6∆61 when BCAA are absent. Isobutanol biosynthesis is neither redox nor NAD(P)H co factor balanced. It was seen that co factor imbalance could be mitigated by the expression of an NADH oxidase (NOX), but not by expression of the NADH dependent ilvC6E6, since the latter showed low in vivo activity. Furthermore, it was seen that NAD(H) imbalance did already limit isobutanol biosynthesis, but the NADP(H) imbalance did not. Another limitation of cytosolic isobutanol biosynthesis is the secretion of the intermediate 2‑dihydroxyisovalerate, which then no longer is taken up by S. cerevisiae, causing a reduced isobutanol yield. This is attributed to insufficient Ilv3∆19 activity, due to poor iron sulphur cluster apo protein maturation. Therefore, it was aimed to replace Ilv3∆19 by heterologous dihydroxyacid dehydratases. Even though some of the enzymes were functionally expressed, none showed better in vivo activity than Ilv3∆19. Therefore, the Ilv3∆19 apo protein maturation was improved. This was achieved by the genomic deletion of fra2 or pim1 as well as by the cytosolic expression of Grx5∆29.
In addition to the isobutanol pathway, S. cerevisiae was optimised for isobutanol biosynthesis by rational and evolutionary engineering. For this purpose, the genes which are necessary for isobutanol production were integrated into the ilv2 locus, and the resulting strain was evolved in a medium containing the toxic amino acid analogue norvaline. Evolved single colonies were isolated, which presented improved growth and increased isobutanol yields (0.59 mg/gGlc) in a valine free medium, as compared to the initial strain. This is explained by a gene dosage effect which occurred during the evolutionary engineering experiment. In collaboration with Dr. Wess, the genes ilv2, bdh1/2, leu4/9, ecm31, ilv1, adh1, gpd1/2 and ald6 were cumulatively deleted in CEN.PK113 7D to block competing metabolic pathways. The resulting strain JWY23 achieved isobutanol yields up to 67.3 mg/gGlc, when expressing the cyt ILV enzymes from a multi copy vector. The most promising approaches of this work, namely the deletion of fra2 and the expression of Grx5∆29, Ilv6∆61, and NOX, were confirmed in this JWY23 strain. The highest isobutanol yield from this work was observed at 72 mg/gGlc for Ilv6∆61 and cyt ILV enzymes expressing JWY23, which corresponds to 17.6% of the theoretical isobutanol yield.
Isobutyric acid (IBA) is a by product of isobutanol biosynthesis, but it is also considered a valuable platform chemical. Therefore, the approaches that improved isobutanol biosynthesis were applied to the biosynthesis of IBA in S. cerevisiae. The highest IBA yield of 9.8 mg/gGlc was observed in a valine free medium by expression of cyt ILV enzymes, NOX and Ald6 in JWY04 (CEN.PK113 7D Δilv2; Δbdh1; Δbdh2; Δleu4; Δleu9; Δecm31; Δilv1). This corresponded to an 8.9 fold increase compared with the control and is, to our best knowledge, the highest IBA yield reported to date for S. cerevisiae.
Sleep is one of the fundamental requirements of all animals from nematodes to humans. It appears in different formats with shared features such as reduced muscle activities and reduced responsiveness to the environment. Despite the long history of sleep research, why a brain must be taken offline for a large portion of each day remains unknown. Moreover, sleep research focused on mammals and birds reveals two stages, rapid-eye-movement (REM) and slow-wave (SW) sleep, alternating during sleep. Whether these two stages of sleep exist in other vertebrates, particularly reptiles, is debated, as is the evolution of sleep in general.
Recordings from the brain of a lizard, the Australian bearded dragon Pogona vitticeps, indicate the presence of two electrophysiological states and provides a better picture of their sleep. Local field potential (LFP) signals, head velocity, eye movements, and heart rate during sleep match the pattern of REM and SW sleep in mammals. The SW and REM sleep patterns that we observed in lizards oscillated continuously for 6 to 10 hours with a period of 80-100 seconds when the ambient temperature was ~27°C. Lizard SW dynamics closely resemble those observed in rodent hippocampal CA1, yet originated from a brain area, the dorsal ventricular ridge (DVR), that does not correspond anatomically or transcriptomically to the mammalian hippocampus. This finding pushes back the probable evolution of these dynamics to the emergence of amniotes, at least 300 million years ago.
Unlike mammals and birds, REM and SW sleep in lizards occupy an almost equal amount of time during sleep. The clock-like alternation between these two sleep states was found initially by measuring the power modulation of two frequency bands, delta and beta. I recorded the full-band LFP and found an infra-slow oscillation (ISO) in the frequency range between 5 and 20 milli-Hz during sleep. The magnitude of ISO increased during sleep and decreased during both wakefulness and arousal during sleep. The up- and down-states of ISO were synchronized with the sleep state alternating rhythm but with a significant time lag dependent on the locations of the recording electrodes. Multi-site LFP recordings indicated that this ISO is a putative propagation wave sweeping extremely slowly, 30-67 µm/sec, from the posterior-dorsal pole to the anterior-ventral pole of the DVR.
Previous studies in other animals showed that brainstem areas such as the locus coeruleus, laterodorsal tegmentum, and periaqueductal gray are involved in sleep states regulation. It is sadly impossible to carry out in vivo recordings in the lizard brainstem without severely affecting them and their quality of life. I thus carried out ex vivo recordings in both DVR and brainstem. Pharmacological stimulation of the brainstem could reversibly silence one distinct EEG pattern characteristic of SW sleep, the sharp-wave and ripple complex, in DVR. An ISO could be recorded simultaneously in both DVR and brainstem. From data collected in both intact and split ex vivo brains, I concluded that there are independent ISO generators in at least two areas, the brainstem and the telencephalon. Their signals may normally be synchronized by long-range connections. The DVR ISO leads the brainstem ISO by ~29 sec. Optogenetic stimulation of brainstem neurons was able to disrupt the ISO in DVR reversibly.
In conclusion, the lizard brain offers a relatively simple model system to study sleep. Despite a diversity of results in different lizard species, my results revealed a number of new findings. Relevant for sleep research in general: 1) REM and SW sleep exist in a reptile. Since they also exist in birds and mammals, they probably existed in their common amniote ancestor, if not earlier. 2) REM and SW occupy equal amounts of time during sleep (50% duty cycle), a unique feature among all described sleep electrophysiological patterns, suggesting the possible existence of a simple central pattern generator of sleep, possibly ancestral. 3) I discovered the existence, in the local field potential, of an infra slow oscillation with extremely slow propagation, locked to the SW-REM alternating rhythm. The causes and mechanisms of this ISO remain to be understood. To my knowledge, the correlation between sleep states and a slow rhythm has only been reported in human scalp EEG recordings so far.
Die vorliegende Arbeit präsentiert Forschungsarbeiten basierend auf nanoskopischen Oberflächenmessungen an plasmonischen Metaoberflächen und zweidimensionalen Materialien, insbesondere dem halbleitenden Übergangsmetal-Dichalcogenid (TMDC) WS_2. Die Thesis ist in sieben Kapitel untergegliedert. Die Einleitung vermittelt einen Überblick über die treibenden Kräfte hinter der Forschung im Bereich der Nanophotonik an zweidimensionalen Materialsystemen. Die Untersuchung der Licht-Materie-Wechselwirkung an dünnen Materialgrenzflächen zieht sich als roter Faden durch die gesamte Arbeit.
Das zweite Kapitel beschreibt den experimentellen Aufbau, der für die Durchführung der nanoskopischen Messungen in dieser Arbeit implementiert wurde. Es werden theoretische Grundlagen, das Messprinzip und die Implementierung des optischen Rasternahfeldmikroskops (s-SNOM) skizziert. Außerdem wird ein Strom-Spannungs-Rasterkraftmikroskop (c-AFM) im Kontaktmodus genutzt, um elektrische Ströme auf mikroskopischen zweidimensionalen TMDC-Terrassen zu messen. In den darauffolgenden vier Kapiteln werden die Beiträge dieser Arbeit zur Untersuchung der Licht-Materie-Wechselwirkung auf der Nanoskala aus verschiedenen Perspektiven vorgestellt. Jedes Kapitel enthält eine kurze Einleitung, einen Theorieteil, Messdaten oder Simulationsergebnisse sowie eine Analyse; vervollständigt durch einen Schlussteil.
Die zentrale Arbeit an einer metallischen Metaoberfläche aus elliptischen Goldscheiben wird in Kapitel 3 vorgestellt. Der zugehörige Theorieteil führt in das Konzept von Oberflächen-Plasmon-Polaritonen (SPP) ein, das für den Forschungsbereich der Plasmonik im Allgemeinen wesentlich ist. Verschiedene Methoden zur Berechnung der Dispersionsrelation dieser Oberflächenmoden an ein- und mehrschichtigen Grenzflächen werden auf die untersuchte Metaoberflächenprobe angewendet. Das Modell sagt drei verschiedene Moden voraus, die sich an der Grenzfläche ausbreiten. Eine teil-gebundene ins Substrat abstrahlende Oberflächenmode sowie zwei vergrabene stark gebundene anisotrope Moden. Eine auf der Probe platzierte Nanokugel aus Silizium wird als radiale Anregungsquelle verwendet.
Der Vergleich mit s-SNOM-Nahfeldbildern zeigt, dass nur die schwach gebundene geführte Modenresonanz ausreichend angeregt wurde, um durch s-SNOM-Bildgebung nachgewiesen werden zu können. Die schwache Oberflächenbindung erklärt die scheinbar isotrope Ausbreitung auf der anisotropen Oberfläche. Die Beobachtung der verbleibenden stark eingegrenzten anisotropen vergrabenen Moden würde eine verbesserte tiefenempfindliche Auflösung des Systems erfordern, die im Prinzip für Schichtdicken von 20 nm möglich sein sollte. Darüber hinaus wirft die Beobachtung die Frage auf, ob die durch Impuls- und Modenvolumenanpassung der Nanokugel gegebene Anregungseffizienz einen ausreichenden Anregungsquerschnitt erzeugt, um nachweisbare vergrabene SPP-Moden zu erzeugen.
In Kapitel 4 wird die Idee der Visualisierung vergrabener elektrischer Felder mit s-SNOM fortgesetzt. Hier wird es auf die Untersuchung von WS_2 angewendet, einem zweidimensionalen TMDC-Material, welches Photolumineszenz zeigt. Durch die Strukturierung des Galliumphosphid-Substrats unter der hängenden Monolage, die von einer dünnen Schicht aus hBN getragen wird, wird die Photolumineszenzausbeute um den Faktor 10 erhöht. Dies wird durch den Entwurf einer lateralen DBR-Mikrokavität mit zusätzlich optimierter vertikaler Tiefe erreicht, die in das Substrat geätzt wurde.
Die hochauflösende Abbildung der elektrischen Feldverteilung im Resonator wird durch den Einsatz von s-SNOM ermöglicht, um die Verbesserung der Einkopplung durch diese beiden Ansätze zu bewerten. Es konnte festgestellt werden, dass die laterale Struktur überwiegend zur verstärkten Photolumineszenzausbeute beiträgt, während für die Einkopplung keine offensichtliche Verstärkung auf die vertikale Strukturoptimierung zurückgeführt werden konnte.
Das zweidimensionale Material WS_2 wird in Kapitel 5 erneut mit Hilfe von c-AFM untersucht. Unterschiedlich dicke Multilagen auf Graphen und Gold dienen als Tunnelbarrieren für vertikale Ströme zwischen Substrat und leitender c-AFM-Messpitze. Die Daten können mit einem Fowler-Nordheim-Modell mit Parametern für die Tunnelbreite und Schottky-Barrierenhöhen der beiden Grenzflächen erklärt werden. Die Messungen zeigen jedoch eine schwache Reproduzierbarkeit, was eine detailliertere Zusammenfassung der relevanten Fehlerquellen erfordert. In der Schlussfolgerung des Kapitels werden mehrere Schlüsselaspekte vorgeschlagen, die bei künftigen Messungen berücksichtigt werden sollten. Entscheidend ist, dass c-AFM sehr empfindlich auf die Adsorption von Wasserfilmen an der Probenoberfläche reagiert, worunter WS_2-Oberflächen unter Umgebungsbedingungen leiden...
Protein ubiquitination is a post-translational modification that typically involves the conjugation of ubiquitin to substrate proteins via a three-enzyme cascade and regulates a wide variety of cellular processes. Recent studies have revealed that SidE family of Legionella effectors such as SdeA catalyzes novel phosphoribosyl-linked ubiquitination (PR-ubiquitination) of serines in host substrate proteins utilizing NAD+, without the need of E2, E3. The catalytic core of SdeA comprises a mono-ADP-ribosyltransferase (mART) domain that functions to ADP-ribosylate ubiquitin, and a phosphodiesterase (PDE) domain that processes ADP-ribosylated ubiquitin and transfers the resulting phosphoribosylated ubiquitin to serines of substrates.
To date, extensive efforts have been made to study the function of SdeA and mechanism of SdeA mediated PR-ubiquitination, however, the cellular effects of this novel ubiquitination and phosphoribosylation of ubiquitin remained poorly understood. In our study, using biochemical and cell biological approaches, we explored the biological effect of phosphoribosylation of ubiquitin caused by SdeA in cells. We found that phosphoribosylated ubiquitin is not available for conventional ubiquitination, thereby phosphoribosylation of ubiquitin impairs numerous classical ubiquitination related cellular processes including mitophagy, TNF-α signaling and proteasomal degradation.
The precise temporal regulation of the functions of bacterial effectors during Legionella infection by other effectors with antagonizing activities has been well studied so far. Not surprisingly, PR-ubiquitination catalyzed by SidE family effecters is tightly controlled as well, it has been long known that effector SidJ counteracts the toxicity of SdeA to yeast cells. Interestingly, in an experiment for verifying the activity of SidJ, we found that Legionella lysate lacking SidJ was still able to remove ubiquitin from PR-ubiquitinated substrates. Using biochemical approach we identified DupA and DupB, two Legionella bacterial effectors that specifically reverse the novel serine PR-ubiquitination catalyzed by SdeA. We found that DupA and DupB possess a highly homologous PDE domain that removes ubiquitin from PR-ubiquitinated substrates by cleaving the phosphodiester bond between the phosphoribosylated-ubiquitin and serines of substrates. Catalytically deficient mutant DupA H67A strongly binds to PR-ubiquitinated proteins but not capable of cleaving PR-ubiquitin, using it as a trapping bait we identified over 180 substrates of PR-ubiquitination, including a number of ER and Golgi proteins.
In particular, we found that exogenously expressed SdeA localizes to the Golgi apparatus via its C-terminal region and disrupts the Golgi. We validated the identified potential substrates of SidE effectors and found that SdeA modifies Golgi tethering proteins GRASP55 and GRASP65. Using mass spectrometry analyses we identified four serine targets (S3, S408, S409, S449) of GRASP55 PR-ubiquitinated by SdeA in vitro. Ubiquitination of GRASP55 serine mutant in cells co-expressing SdeA or infected with Legionella was markedly decreased, compared with that of the wild-type GRASP55. In addition, with co-immunoprecipitation analyses we found that SdeA-catalyzed ubiquitination regulates the function of GRASP55. PR-ubiquitinated GRASP55 exhibited reduced self-interaction compared to unmodified GRASP55, expression of GRASP55 serine mutant in cells in part rescued Golgi damage caused by SdeA. Furthermore, our study reveals that Golgi structure disruption caused by SdeA does not result in the recruitment of Golgi membranes to the Legionella-containing vacuoles. Instead, it affects cellular secretory pathway including cytokine secretion in cells.
Taken all together, this work expands the understanding of this unconventional PR-ubiquitination catalyzed by Legionella effectors and sheds light on the functions of PR-ubiquitination by which Legionella regulates the Golgi function and secretion pathway during bacterial infection.
Inducing cell death in tumor cells is a major goal of anti-cancer therapy. However, the preferable mode of cell death to induce is under debate. Apoptosis is known to be an anti-inflammatory and pro-resolving type of programmed cell death, whereas necroptosis results in the release of danger-associated molecular patterns (DAMPs) and is pro-inflammatory. Efferocytosis of apoptotic cells by macrophages results in a pro-resolving switch of macrophages polarization and is required to induce resolution of inflammation. This impact of apoptotic cells on macrophages is a non-desired consequence of cell death in tumors, which are often characterized by an overshooting wound healing response. Moreover, apoptosis resistance is frequently observed in cancer cells. To overcome apoptosis resistance in cancer cells, necroptosis can be induced as an alternative mechanism for cancer treatment. Interferons (IFNs) play an important role in tumor immune responses and act by inducing the expression of IFN-stiumlated genes (ISGs). Furthermore, IFNs were shown to be able to induce necroptosis together with Smac-mimetics when caspases are inhibited in different cancer cell lines. Necroptosis is induced by phosphorylation and activation of receptor-interacting serine/threonine-protein kinase 1 (RIPK1), RIPK3 and pseudokinase mixed lineage kinase domain-like (MLKL).
In my thesis, we first identified MLKL as an ISG in various cancer cell lines. MLKL upregulation was found to be a general feature of IFN signaling since both type I and type II IFNs increase the expression of MLKL. IFNy was able to upregulate MLKL at messenger ribonucleic acid (mRNA) and protein level indicating that MLKL is elevated transcriptionally. Indeed, Actinomycin D chase experiments showed that inhibition of transcription abolished MLKL upregulation upon IFN treatment. Both, knockdown of the IFNy-activated transcription factors interferon regulatory factor 1 (IRF1) and signal transducer and activator of transcription 1 (STAT1) as well as knockout of IRF1 significantly dampened MLKL mRNA upregulation, demonstrating that STAT1 and especially IRF1 are necessary to induce MLKL expression. This first part of the study highlights the upregulation of MLKL by IFNy as valuable tool to sensitize cells towards necroptosis and by that overcome apoptosis resistance in cancers.
When compared to apoptosis, the immune response to necroptotic cells and the polarization of macrophages phagocytosing necroptotic cells is not well studied. In most studies, cell death was induced by biological or chemical compounds, which may lead to artifacts by affecting the macrophages and triggering of unrelated signaling pathways. Therefore, in the second part of my thesis we used a pure cell death system of NIH 3T3 cells expressing either dimerizable caspase 8 or oligomerizable RIPK3 to induce cell death. Addition of B/B-Homodimerizer (dimerizer) to the cells resulted in apoptosis or necroptosis, which was confirmed by caspase 3/7 activation, phosphorylation of MLKL and inhibitor experiments, respectively. We analyzed the effect of dying cells on peritoneal macrophages by establishing a co-culture in a transwell system. The genetic profile of macrophages co-cultured with dying cells was evaluated by whole transcriptome RNA sequencing. In macrophages co-cultured with necroptotic cells genes corresponding to chemotaxis and hypoxia pathways were upregulated. A significant proportion of hypoxia-related pathways are mediated by hypoxia-inducible factor 1-alpha (HIF-1α), which also induces metabolic changes in polarized macrophages. We could show that macrophages co-cultured with necroptotic cells showed a decreased mitochondrial respiration, indicating an inflammatory (M1) polarization. Protein levels of chemokine C-X-C motif ligand 1 (CXCL1), which was increased in the RNA sequencing data, were also upregulated in supernatant of co-cultured macrophages and of necroptotic cells, demonstrating that necroptotic cells both secrete CXCL1 and induce gene expression of CXCL1 in peritoneal macrophages. This may influence the recruitment of neutrophils as inhibition of necroptosis during Zymosan-A-induced peritonits in mice decreased the levels of neutrophils at day 1 of this model of self-resolving inflammation.
Furthermore, RNA sequencing revealed an unexpected impact of apoptotic cells on macrophage biology as cell cycle and cell division pathways were increased. Enhanced proliferation of macrophages was confirmed by two functional assay with peritoneal macrophages isolated from mice and IC-21 macrophages. Inhibition of apoptosis during Zymosan-A-induced peritonits in mice demonstrated decreased mRNA levels of cell cycle mediators in peritoneal macrophages. Simultaneously with cell cycle activation, gene sets of prostaglandin E2 (PGE2) signaling were upregulated during RNA sequencing. In the second part of my thesis we could demonstrate, that apoptotic cells induce transcription of cell cycle genes and proliferation of macrophages and necroptotic cells are able to influence the chemokine profile of macrophages and thereby the recruitment of neutrophils.
The Southern Ocean (SO) is one of the most pristine regions of our Planet, characterised by high levels of biodiversity (5% of the global diversity) (David and Saucède 2015) and hosting a unique fauna (up to 90% of SO species are endemic) (De Broyer and Danis 2011; Chown et al. 2015). Yet, the knowledge on SO biodiversity is still far from being completed. In addition, the knowledge on the impact that changing environments have on SO species-richness is very little and for some groups, it is still totally unknown. For instance, most of studies generally focus on one single species such as Antarctic krill (Kawaguchi et al. 2011), Clio pyramidata Linnaeus, 1767 (Orr et al. 2005), Globigerina bulloides d'Orbigny, 1826 (Moy et al. 2009), or only on a high taxonomic level (e.g. phylum, class): Echinodermata, Crustacea, Mollusca, Porifera, Bryozoa, Brachiopoda, Hydrozoa, Ascidiacea, Holoturoidea
(Barnes 1999; Rowden et al. 2015; Post et al. 2017; Gutt et al. 2019; Vause et al. 2019; Pineda-Metz et al. 2020). Ultimately, the influence of sea-ice coverage on benthic species diversity was totally unknown prior to this study. In light of this, the objectives of the thesis are:
1. To expand the knowledge on shelf and deep-sea peracarid assemblage structure and abundance on a small regional (Weddell Sea) and on a large regional (Atlantic sector of the SO and South Atlantic Ocean) geographic scale.
2. To assess the environmental variables driving peracarid assemblage structure and abundance from the above mentioned areas.
3. To investigate SO benthic isopod species diversity from the Atlantic sector of the SO and assess the influence of environmental variables on their species-richness and composition.
4. To describe new possible peracarid species by means of integrative taxonomy, using morphological descriptions and whole genome sequencing analyses to support the species identification.
Objective outcomes: The present thesis provides new information on the abundance and assemblage structure based on 64766 peracarid crustaceans from different 28 locations within the Atlantic sector of the SO continental shelf and deep sea (Chapters I-II). These locations are characterised by different environmental conditions, for instance different sea-ice concentrations. Results from Chapters I-II confirmed the dominance of peracarid assemblages in the benthos, with amphipods being the most abundant group, followed by isopods. Sea ice was identified as the main driver shaping benthic peracarid assemblage structure (Chapter I). On a larger geographic scale and wider bathymetric range (e.g. including sampling locations from previous studies performed in the South Atlantic Ocean
and at a depth range from 160 to ~6000 m), depth was the main physical variable driving peracarid assemblage structure (Chapter III). In addition, 16157 isopod specimens from the Atlantic sector of the SO were identified to species level at a smaller scale (Chapter IV). In this case, sea ice was identified as the main physical driver affecting isopod diversity and composition among sampling locations (Chapter IV). Reduced concentration of sea ice
causes a decrease in isopod biodiversity, thus climate change was identified as a huge threat for this taxon and for SO benthos in general. During the identification process, two new isopod species were discovered (Chapter V). The two new species (Notopais sp.1 n. sp. and Notopais sp.2 n. sp.) were accurately described and identified by means of integrative taxonomy. This provided the first whole genome sequencing of benthic isopods from the SO and the first complete mitochondrial genome of the genus Notopais (Chapter V). Thanks to the collaboration with the University of Genoa (Dipartimento di Scienze della Terra dell'Ambiente e della Vita, DISTAV, Italy) and the National Antarctic Museum (MNA) in Genoa, two new SO species of the suborder Valvifera G. O. Sars, 1883 were described by means of classical taxonomy. In this case, a molecular approach could not be used because both new species were represented by a single specimen, therefore it was important to preserve the integrity of the holotypes (Chapters VI-VII).
Die Studien im Rahmen dieser Arbeit wurden am Modellorganismus Anabaena sp. PCC 7120 (Anabaena) durchgeführt, einem filamentösen Süßwasser-Cyanobakterium. Cyanobakterien sind photosynthetische, Gram-negative Organismen. Sie besitzen eine das Zytosol begrenzende Plasmamembran und eine Äußere Membran. TonB-abhängige Transporter (TBDTs) und Porine der Äußeren Membran bewerkstelligen und regulieren die Aufnahme von Nährstoffen. Typischerweise wenig abundante Substrate für den TBDT-vermittelten, aktiven Transport sind beispielsweise eisenhaltige Siderophore oder VitaminB12. Kleinere gelöste und abundante Stoffe wie Salze oder andere Ionen gelangen hingegen passiv durch Porine in das Periplasma.
In Anabaena wurden neun putative Porine identifiziert. Sieben hiervon wiesen eine porinspezifische Domänenstruktur auf (Alr0834, Alr2231, All4499, Alr4550, Alr4741, All5191 und All7614), und wurden im Rahmen dieser Arbeit näher betrachtet. Die Expression dieser sieben Gene wurde vergleichend untersucht, nachdem der Wildtyp in Standardmedium oder in Medium indem jeweils Mangan, Eisen, Kupfer oder Zink fehlte angezogen wurde. Außerdem wurde das Wachstum der einzelnen Porinmutanten im Vergleich zum Wildtyp auf Festmedium mit hohen Konzentrationen von Salzen, Antibiotika oder anderen Stoffen analysiert. Hierbei konnten den einzelnen Mutanten teilweise spezifische phänotypische Eigenschaften zugeschrieben werden. Zusammengefasst kann anhand der Analysenergebnisse vermutet werden, dass Alr4550 eine besondere Rolle in der Wahrung der Zellhüllenstabilität oder -integrität spielt, wohingegen das Fehlen von Alr5191 auf unbekannte Weise die Fixierung von Stickstoff zu erschweren scheint. Die alr2231-Mutante zeigte eine Resistenz gegenüber hohen Zinkkonzentrationen, was die Vermutung zulässt, dass Zink ein Substrat von Alr2231 darstellt. Für weitere Porine kann ebenfalls ein Zusammenhang zum Transport von Kupfer oder Mangan vermutet werden.
Neben Porinen wurden ebenfalls TonB-ähnliche Proteine in Anabaena untersucht. TonB ist ein plasmamembranständiges Protein, das in Komplex mit ExbB und ExbD die Energie für Transportprozesse über die Äußere Membran bereitstellt. Hierfür bindet TonB C-terminal an TBDTs und induziert dort Strukturänderungen, welche den Substratimport ins Periplasma ermöglichen. Als Energiequelle wird der Protonengradient genutzt, der über die Plasmamembran besteht. In Anabaena wurden vier putative TonB Proteine identifiziert, die sich jeweils in Länge und Domänenstruktur unterscheiden. Im Rahmen dieser Arbeit konnte durch Substrattransport-Experimente und Wachstumsanalysen gezeigt werden, dass TonB3 an der Aufnahme zweier Siderophore (Schizokinen und dem Xenosiderophor Ferrichrom) beteiligt ist, da die entsprechende Mutante sich als unfähig erwies diese zu als Eisenquelle nutzbar zu machen. Daneben wies TonB3 weitere Merkmale auf, die auch TonB-Proteinen anderer Organismen zugeschrieben wurden (Wachstumsdefizit der Mutante unter Eisenmangel, eisenabhängiges Expressionsprofil). Interessanterweise zeigte sich, dass das Siderophor Ferrichrom ebenfalls nicht als Eisenquelle für die tonB4-Mutante zur Verfügung stand, was zum Beispiel auf eine Beteiligung von TonB4 an dessen Transport hinweisen könnte.
TonB1, welches sich durch ein inkomplettes TBDT-Interaktionsmotiv auszeichnet, und TonB2 konnte keine Beteiligung am Siderophoretransport zugeschrieben werden, jedoch zeigten Mutanten der einzelnen Gene spezifische phänotypische Eigenschaften. Die tonB1-Mutante stach hervor durch ein vergleichsweise stark verzögertes Wachstum unter diazotrophen Bedingungen. Es konnte gezeigt werden, dass sowohl die Nitrogenaseaktivität als auch die expression vermindert war im tonB1-Mutantenstamm. Außerdem zeigten die Heterozysten dieser Mutante, die auf die Stickstoffixierung spezialisierten Zellen, eine abnormale Morphologie. Da die Expression von tonB1 jedoch nach dem Überführen von Wildypzellen in stickstoffreies Medium nicht erhöht war, kann eine direkte Beteiligung von TonB1 an der Heterozystendifferenzierung als unwahrscheinlich betrachtet werden. Die Zelleinschnürungen zwischen Heterozysten und vegetativen Zellen waren in I-tonB1 weniger ausgeprägt als im Wildtyp, was durch eine Anfärbung der Zellwand mit einem Fluoreszenzmarker gezeigt werden konnte. Ebenfalls konnte anhand des fluoreszierenden Markers Calcein gezeigt werden, dass die molekulare Diffusionsgeschwindigkeit zwischen Heterozysten und vegetativen Zellen, und auch zwischen zwei benachbarten vegetativen Zellen, in der tonB1-Mutante erhöht ist. Deswegen kann hier vermutlich vermehrt die Nitrogenase schädigender Sauerstoff in Heterozysten eindringen. Die aufgezählten Ergebnisse deuten auf eine Funktion von SjdR im Aufbau der Septumsstrukturen hin, beispielsweise durch Regulation der Peptidoglykansynthese oder -verteilung, weswegen TonB1 umbenannt wurde in SjdR (Septal junction disc regulator).
Die Untersuchung der tonB2-Mutante zeigte bei dieser eine veränderte Pigmentierung, eine vermehrte Lipopolysaccharidproduktion und Filamentaggregation sowie eine erhöhte Resistenz gegenüber bestimmten Antibiotika oder Detergenzien. Letzteres könnte auf die ebenfalls in der tonB2-Mutante beobachtete verringerte Porinexpression zurückgeführt werden. Es wurde außerdem eine vermehrte Anreicherung von Kupfer und Molybdän in der Mutante gemessen, was ein Grund für die Veränderte Pigmentierung sein könnte und ebenfalls die Porinexpression beeinflussen könnte. Insgesamt scheint sich das Fehlen von TonB2 auf die Integrität der Äußeren Membran auszuwirken. Daher kann für TonB2, eine Funktion in Anlehnung an das Tol-system vermutet werden.
The aim of this work was to establish a new way of predicting novel dual active compounds by combining classical fingerprint representation with state-of-the-art machine learning algorithms. Advantages and disadvantages of the applied 2D- and 3D-fingerprints were investigated. Further, the impact of various machine learning algorithms was analyzed. The new method developed in this work was used to predict compounds, which inhibit two different targets (LTA4H and sEH) involved in the same disease pattern (inflammation). The development of multitarget drugs has become more important in recent years. Many widespread diseases like metabolic syndrome, or cancer are of a multifactorial nature, which makes them hard to be treated effectively with a single drug. The new in silico method presented in this work can help to accelerate the design and development of multitarget drugs, saving time and efforts.
The nowadays readily available access to a large number of 3D-structures of biological targets and published activity data of millions of synthesized compounds enabled this study and was used as a starting point for this work. Four different data sets were compiled (crystalized ligands from the PDB, active and inactive compounds from ChEMBL23, newly designed compounds using a combinatorial library). Those data sets were collected and processed using an automated KNIME workflow. This automation has the advantage of allowing easy change and update of compound sources and adapted processing ways.
In a next step, the compounds from the compiled data sets were represented using a variety of well-established 2D- and 3D-fingerprints (PLIF, AtomPair, Morgan, FeatMorgan, MACCS). All those fingerprints share the same underlying bit string scheme but vary in the way they describe the molecular structure. Especially the difference between 2D- and 3D-fingerprints was investigated. 2D-fingerprints are solely based on ligand information. 3D-fingerprints, on the other hand, are based on X-ray structure information of protein-ligand complexes. One major difference between 2D- and 3D-fingerprints usage is the need for a 3D-conformation (pose) of the compound in the targets of interest when using 3D-fingerprints. This additional step is time-consuming and brings further uncertainties to the method.
Based on the calculated fingerprints state-of-the-art machine learning algorithms (SVC, RF, XGB and ADA) were used to predict novel dual active compounds. The models were evaluated by 10-fold cross validation and accuracy as the primary measure of model performance was maximized. Second, individual parameters of the four machine learning algorithms were optimized in a grid search to achieve maximal accuracy using the optimized partitioning scheme. Overall accuracies, regardless of fingerprint and machine learning algorithm, are slightly better for LTA4H than for sEH.
The goal to predict dual active compounds was realized by comparing the set of predicted to be active compounds for LTA4H and sEH. For the 3D-fingerprint PLIF the machine learning algorithm Random Forest was chosen, from which compounds for synthesis and testing were selected. Of 115 predicted to be active compounds, six compounds were cherry picked. Two compounds showed very good/moderate dual inhibitory activity. Of the 2D-fingerprints, the AtomPair fingerprint in combination with the machine learning algorithm Random Forest was chosen from which compounds were selected for synthesis and testing. 116 compounds were predicted to be dual active against LTA4H and sEH. One of those compounds showed good dual inhibitory activity.
In this work it was possible to show advantages and disadvantages of using 2D- and 3D-fingerprints in combination with machine learning algorithms. Both strategies (2D: ligand-based, 3D: structure-based) lead to the prediction of novel dual active compounds with moderate to very good inhibitory activity. The method developed in this work is able to predict dual active compounds with very good inhibitory activity and novel (previously unknown) scaffolds inhibiting the targets LTA4H and sEH. This contribution to in silico drug design is promising and can be used for the prediction of novel dual active compounds. Those compounds can further be optimized regarding binding affinity, solubility and further pharmacological and physicochemical properties.
High-energy astrophysics plays an increasingly important role in the understanding of our universe. On one hand, this is due to ground-breaking observations, like the gravitational-wave detections of the LIGO and Virgo network or the black-hole shadow observations of the EHT collaboration. On the other hand, the field of numerical relativity has reached a level of sophistication that allows for realistic simulations that include all four fundamental forces of nature. A prime example of how observations and theory complement each other can be seen in the studies following GW170817, the first detection of gravitational waves from a binary neutron-star merger. The same detection is also the chronological starting point of this Thesis. The plethora of information and constraints on nuclear physics derived from GW170817 in conjunction with theoretical computations will be presented in the first part of this Thesis. The second part goes beyond this detection and prepares for future observations when also the high-frequency postmerger signal will become detectable. Specifically, signatures of a quark-hadron phase transition are discussed and the specific case of a delayed phase transition is analyzed in detail. Finally, the third part of this Thesis focuses on the inclusion of radiative transport in numerical astrophysics. In the context of binary neutron-star mergers, radiation in the form of neutrinos is crucial for realistic long-term simulations. Two methods are introduced for treating radiation: the approximate state-of-the-art two-moment method (M1) and the recently developed radiative Lattice-Boltzmann method. The latter promises
to be more accurate than M1 at a comparable computational cost. Given that most methods for radiative transport or either inaccurate or unfeasible, the derivation of this new method represents a novel and possibly paradigm-changing contribution to an accurate inclusion of radiation in numerical astrophysics.
In this thesis, we characterized megasynthases such as fatty acid synthases (FASs) and polyketide synthases. The obtained insights into structure and function were used to engineer such systems to produce new-to-nature compounds.
The in vitro characterization of megasynthases requires reproducible access to these enzymes in high quality. Therefore, we established purification strategies for the yeast FAS and the methylsalicylic acid synthase (MSAS) from Saccharopolyspora erythraea (SerMSAS) and applied the latter one on MSAS from Penicillium patulum (PenPaMSAS) and on 6-deoxyerythronolide B synthase (DEBS) module 6. With the purified samples, we were able to obtain initial structural data for SerMSAS and solve the complete structure of the yeast FAS (PDB: 6TA1). On the example of the yeast FAS, we could show that the sample can suffer from adsorption to the water-air interface during the grid preparation for electron microscopy and presented how the use of graphene-based grids can overcome this problem. The combined structural and functional analysis of the yeast FAS showed that the structural domains trimerization module and dimerization module 2 are not essential for the assembly of the whole system. Therefore, they can potentially be used for domain exchange approaches. The in-depth functional analysis of SerMSAS revealed that not SerMSAS itself releases the product, but a 3-oxoacyl-(acyl-carrier protein) synthase like enzyme within the gene cluster transfers 6-methyl salicylic acid from SerMSAS to another carrier protein for subsequent modifications. In contrast, we showed that PenPaMSAS can release its product by hydrolysis and that non-native substrates can be incorporated although at significantly slower turnover rates compared to the native starter substrate. Our further investigation demonstrated that the substrate specificity of the acyltransferase (AT) is a critical factor for the incorporation of non-native substrates.
With the insight from the functional and structural characterization, we engineered megasynthases for the biosynthesis of natural product derivatives. We targeted the AT of PenPaMSAS for active site mutagenesis and discovered a mutant which can transfer non-native substrates significantly faster (~200-300%). Additionally, the malonyl/acetyl transferase (MAT) of the mammalian FAS was used as a promising target for protein engineering because of its previously reported properties including polyspecificity, fast transfer kinetics, robustness, and plasticity. We showed that the MAT can transfer fluorinated substrates and accept the acyl carrier protein of DEBS module 6. By exchanging the substrate specific AT of DEBS with the polyspecific MAT of the mammalian FAS, we demonstrated an efficient DEBS/FAS hybrid and an optimal truncation site for the applied ATs. In contrast to the wild type system, the DEBS/FAS enzyme was able to synthesize demethylated and fluorinated derivatives. The production and purification of a fluoro-methyl-disubstituted polyketide was of particular interest, as it has a high potential for the generation of new drugs and shows the potential of protein engineering. Furthermore, the incorporation of the disubstituted substrate had important implication in the mechanistic details of the ketosynthase-mediated C-C bond formation.
Bacteria are true artists of survival, which rapidly adapt to environmental changes like pH shifts, temperature changes and different salinities. Upon osmotic shock, bacteria are able to counteract the loss of water by the uptake of potassium ions. In many bacteria, this is accomplished by the major K+ uptake system KtrAB. The system consists of the K+-translocating channel subunit KtrB, which forms a dimer in the membrane, and the cytoplasmic regulatory RCK subunit KtrA, which binds non-covalently to KtrB as an octameric ring. This unique architecture differs strongly from other RCK-gated K+ channels like MthK or GsuK, in which covalently tethered cytoplasmic RCK domains regulate a single tetrameric pore. As a consequence, an adapted gating mechanism is required: The activation of KtrAB depends on the binding of ATP and Mg2+ to KtrA, while ADP binding at the same site results in inactivation, mediated by conformational rearrangements. However, it is still poorly understood how the nucleotides are exchanged and how the resulting conformational changes in KtrA control gating in KtrB is still poorly understood.
Here,I present a 2.5-Å cryo-EM structure of ADP-bound, inactive KtrAB, which for the first time resolves the N termini of both KtrBs. They are located at the interface of KtrA and KtrB, forming a strong interaction network with both subunits. In combination with functional and EPR data we show that the N termini, surrounded by a lipidic environment, play a crucial role in the activation of the KtrAB system. We are proposing an allosteric network, in which an interaction of the N termini with the membrane facilitates MgATP-triggered conformational changes, leading to the active, conductive state.
Bezüglich der Arzneimittelforschung galt für sehr lange Zeit das Paradigma "ein Gen, ein Medikament, eine Krankheit". In jüngerer Zeit ändert sich dieses Paradigma jedoch auf Grund von redundanten Funktionen und alternativen sich kompensierenden Signalmustern, die insbesondere bei Krebserkrankungen vorherrschend sind. Daher kann die logische Konsequenz nur sein, Multi-Target-Strategien gegenüber Single-Target-Ansätzen in Betracht zu ziehen. Auf Grund der Schwierigkeit, mit einer Kombination von zwei Einzelwirkstoffen, in diesem Fall BET- und HDAC-Inhibitoren eine konsistente Biodistribution und Pharmakokinetik zu erreichen, wurde nach Einzelmolekülen gesucht, die mehrere inhibitorische Aktivitäten aufweisen. Dies wurde hier zunächst durch die einfache Konjugation von zwei unterschiedlichen Pharmakophoren erreicht.
Insgesamt wurden vier verschiedene Liganden dieses Typs synthetisiert und einer von ihnen, Verbindung 14, zeigte sehr vielversprechende Ergebnisse. 14 vereint den BET Inhibitor JQ1- mit dem HDAC Inhibitor CI994 und hat eine hemmende Wirkung sowohl gegen BRD4- als auch HDAC-Proteine wie durch DSF- und nanoBRET-Assay gezeigt werden konnte. Außerdem zeigten in vitro Assays in PDAC-Zellen, dass 14 ein noch potenterer dualer BET/HDAC-Inhibitor ist als die Kombination aus JQ1 und CI994. Während die Effekte von 14 auf das BETi-Antwortgen MYC denen von JQ1 ziemlich ähnlich sind, sind insbesondere die HDAC-inhibitorischen Effekte nachhaltiger und verstärkt, wahrscheinlich aufgrund einer längeren Verweildauer von 14 auf HDAC als dies bei CI994 der Fall ist. Dies ist durch das hohe Niveau der acetylierten Lysine von Histon H3 im Western Blot erkennbar. Dieses veränderte Expressionsverhalten hatte einen großen Einfluss auf das Zellwachstum und überleben in allen getesteten PDAC-Zelllinien. Hier wurde die Überlegenheit von 14 gegenüber der gleichzeitigen Behandlung der Zellen mit JQ1 und CI994 sehr deutlich. Wurden PDAC-Zellen mit dem dualen Inhibitor 14 behandelt, hatte dies ein geringeres Wachstum und Überleben der Krebszellen zur Folge als mit beiden ursprünglichen Molekülen, unabhängig davon, ob diese einzeln oder simultan verabreicht wurden. Außerdem wurde 14 mit Gemcitabin, einem gut verträglichen Chemotherapeutikum, kombiniert, dass bei PDAC allein nur eine begrenzte Aktivität aufweist. Es stellte sich heraus, dass die Reihenfolge, in der die Medikamente verabreicht werden, einen großen Einfluss auf die Effektivität hatte. Der durch 14 induzierte Stopp des Zellzyklus verhindert den Einbau von Gemcitabin in die DNA, wenn 14 vor oder gleichzeitig mit Gemcitabin verabreicht wird. Wenn jedoch die Behandlung mit 14 nach der Verabreichung von Gemcitabin folgt, wird der durch Gemcitabin induzierte S-Phasen-Arrest und Replikationsstress aufrechterhalten. Im Vergleich zu den meisten früheren Studien, die sich mit dualen BET/HDAC-Inhibitoren beschäftigten, ist dies eine große Verbesserung, da es bisher keinen signifikanten Unterschied zwischen der Verwendung eines dualen BET/HDAC-Inhibitors und der Kombination von zwei Einzelinhibitoren gab.
Als Proof of Concept unterstützten die Daten weitere Bemühungen zur Entwicklung zusätzlicher dualer BET/HDAC-Inhibitoren. Daher wurden zwei weitere Generationen dualer BET/HDAC Inhibitoren entwickelt, die jedoch bisher nicht an die Eigenschaften von 14 anknüpfen konnten. Vor allem die 3. Generation bietet jedoch Raum für Optimierungen, so dass hier möglicherweise noch ein potenter dualer Inhibitor zu finden ist. Sollte es in Zukunft einen zugelassenen dualen BET/HDAC-Inhibitor geben, ist es jedoch nicht unwahrscheinlich, dass keine der hier verwendet BET inhibierenden Strukturen verwendet werden, aber Struktur des HDAC inhibierenden Teils immer noch vergleichbar ist. Der Grund dafür ist, dass die HDAC Inhibitoren größtenteils relativ einfach aufgebaut. So lange das wichtigste, die zinkbindende Gruppe vorhanden ist, scheint der Linker sowie die Capping-Gruppe zweitranging zu sein. Die größere Herausforderung wird vermutlich die Suche nach dem passenden BET Inhibitor sein und die Wahlmöglichkeiten sind schon jetzt vielfältig.
Generell lässt sich sagen, dass die Idee der dualen BET/HDAC-Inhibitoren äußerst vielversprechend und es wert ist, weiter verfolgt zu werden. Dies liegt vor allem an den guten Testergebnissen, die mit Verbindung 14 erzielt wurden. Mit Hilfe dieser Art von Inhibitoren könnte es in Zukunft möglich sein, die Überlebensrate von PDAC-Patienten zu erhöhen, wenn nicht als alleiniges Medikament, so vielleicht als Zusatz zur Chemotherapie. Darüber hinaus scheint der Einsatz von dualen BET/HDAC-Inhibitoren nicht nur auf die Behandlung von PDAC beschränkt zu sein und kann auch bei anderen Krebsarten angewendet werden. NMC zum Beispiel ist ein ebenso seltener wie tödlicher Subtyp des schlecht differenzierten Plattenepithelkarzinoms und zeichnet sich durch eine Fusion des NUT-Gens mit BRD4 aus, wodurch es potenziell anfällig für eine BET-Inhibition ist. Tatsächlich zeigte 14 auch hier einen größeren positiven Effekt auf die getesteten NMC-Zellen als JQ1 oder CI994 und veranlasste die Zellen unter anderem zur Differenzierung. ...
T-cell development is a highly dynamic and stepwise process comprimising T lineage commitment, T-cell receptor (TCR) gene rearrangements and subsequent selection. From a quantitative point of view, only a few hundred progenitor cells migrate from the bone marrow into the thymus. Developing thymocytes (termed double negative (DN), CD4-CD8-) can be further divided into DN1-4 cells based on the expression of CD25 and CD44. These developmental events are interspersed by proliferative bursts which ultimately lead to the generation of millions of double positive (DP, CD4+CD8+) thymocytes that then undergo selection. As a consequence, a proportion of naïve T-cells evolves to ensure adaptive, but not autoreactive immunity.
Previous studies of our lab focused on the quantification of thymus colonization and identified thymus entry to be dependent on expression of the chemokine receptors CCR7 and CCR9 (Krueger et al., 2010; Ziętara et al., 2015). CCR7/9 double knockout (DKO) mice are almost completely devoid of the most immature thymocyte populations (DN1 and DN2), but show near normal DN3 cellularity. Interestingly, a similar defect during early development but a virtually complete recovery of later stages and total thymocyte numbers was also observed in thymi of miR-17~92 deficient mice. Here, a failure of prethymic IL-7 signaling dampens early T-cell development (Regelin et al., 2015). For this reason, we hypothesized a tight regulation of thymocyte population size through alterations in the underlying cell cycle kinetics.
In this thesis, we employed in vivo single- and dual-nucleoside pulse labeling combined with determination of DNA replication over time in different WT thymocyte subsets at steady-state. Based on this, we assessed alterations in cell cycle kinetics of CCR7/9 and miR-17~92 defcicient mice and identified compensatory mechanisms of thymocytes on the level of cell cycle phase distribution and cell cycle speed. In addition, single-cell RNA sequencing helped to obtain information on cell cycle dynamics of early thymocyte subsets, exemplarily shown for WT and CCR7/9 DKO mice. Lastly, we performed cell cycle analyses in a model of endogenous thymic repair upon sublethal total body irradiation which provided insight into intrathymic cell cycle regulation as an adjustable system to re-establish normal thymus cellularity.
In the second part of the thesis, we addressed the role of miR-21 in the thymus. In various studies, we and others identified miRNAs as key posttranscriptional regulators of the immune system and especially for T-cell development (Regelin et al. 2015; Mildner et al. 2017; Li et al. 2007; Ebert et al. 2009; Ziętara et al. 2013; Schaffert et al. 2015). The dynamic expression of miR-21 during T-cell development (Neilson et al. 2007; Kirigin et al. 2012; Kuchen et al. 2010) prompted us to hypothesize that miR-21 has a regulatory function in the thymus. A miR 21-knockout mouse model allowed us to study the role of this miRNA for the development of T-cells in the thymus and the maintenance of T-cells in the periphery. In addition, we performed competitive bone marrow chimera experiments in the context of miR-21 deficiency and overexpression. Further insights were provided by exploring the function of miR-21 in negative selection in vivo as well as in T-cell differentiation in coculture experiments in vitro. To unravel implications of miR-21 to regulate cellular stress responses, we assessed the contribution of miR-21 in a model of endogenous regeneration of the thymus after sublethal irradiation. We could not provide evidence for a prominent role for miR-21 during T-cell development. Together, our experiments revealed that miR-21 is largely dispensable for physiologic T-cell development despite high and dynamic expression in the thymus (Kunze Schumacher et al., 2018). The apparent discrepancy between dynamic expression but lack of a regulatory function in the thymus led us to conclude that miR-21 is rather fine tuning T-cell responses than controlling a developmental event.
The DNA damage response (DDR) is a vast network of molecules that preserves genome integrity and allow the faithful transmission of genetic information in human cells. While the usual response to the detection of DNA lesions in cells involves the control of cell-cycle checkpoints, repair proteins or apoptosis, alterations of the repair processes can lead to cellular dysfunction, diseases, or cancer. Besides, cancer patients with DDR alterations often show poor survival and chemoresistance. Despite the progress made in recent years in identifying genes and proteins involved in DDR and their roles in cellular physiology and pathology, the question of the involvement of DDR in metabolism remains unclear. It remains to study the metabolites associated with specific repair pathways or alterations and to investigate whether differences exist depending on cellular origin. The identification of DDR-related metabolic pathways and of the pathways that cause metabolic reprogramming in DDR-deficient cells may produce new targets for the development of new therapies.
In this thesis, nuclear magnetic resonance spectroscopy (NMR) was used to assess the metabolic consequence of the loss of two central DNA repair proteins with importance in diseases context, ATM and RNase H2, in haematological cells. An increase in intracellular taurine was found in RNase H2- and ATM-deficient cells compared to wild-type cells for these genes and in cells after exposition to a source of DNA damage. The rise in taurine does not appear to result from an increase in its biosynthesis from cysteine, but more likely from other cellular processes such as degradation pathways.
Overall, evidence for metabolic reprogramming in haematological cells with faults in DNA repair resulting from ATM or RNase H2 deficiencies or upon exposition to a source of DNA damage is presented in this study.
Acinetobacter baumannii is a worldwide opportunistic pathogen responsible for nosocomial infections. One of the main factors contributing to multidrug resistance in A. baumannii is the upregulation of various chromosomally encoded or acquired efflux pumps, which expel toxic compounds out of the cells with high efficiency.
The resistance-nodulation-cell division (RND)-type efflux pump gene deletion strains ∆adeAB, ∆adeFG or ∆adeIJ and the major facilitator superfamily (MFS) chloramphenicol efflux pump gene deletion strain ∆craA of A. baumannii ATCC 19606 were created and a differential gene expression study was conducted via RT-qPCR. The expression of efflux pump genes adeB, adeG, adeJ, craA, and the outer membrane protein ompA were examined in the absence and presence of chloramphenicol. No significant up- or downregulation of these genes for any of these deletion strains in comparision to the wild-type strain in absence of the drug chloramphenicol.
In contrast, craA was significantly up-regulated in A. baumannii exposed to chloramphenicol, emphasizing the importance of CraA in chloramphenicol resistance. CraA is widely present in clinical isolates of A. baumannii. It is homologous to the well-studied multiple-drug efflux transporter MdfA from Escherichia coli (61% similarity), but surprisingly reported to be acting as a specific chloramphenicol transporter of A. baumannii (Roca et al., 2009).
The drug susceptibility assay done with A. baumannii ATCC 19606 ΔcraA showed that CraA could confer resistance towards phenicols (chloramphenicol, thiamphenicol, and florfenicol), which was in line with the previous report. CraA was heterologously overproduced in E. coli BW25113 ∆emrE∆mdfA and its substrate specificity was determined by drug susceptibility assays and whole cell fluorescent dye uptake experiments. We observed that the substrate specificity of craA overexpressed in E. coli was more diverse and resembling that of the E. coli MdfA homolog. Apart from resistance towards phenicols (chloramphenicol, thiamphenicol, and florfenicol), CraA also confer resistance towards monovalent cationic drugs (benzalkonium, TPP+, and ethidium), long dicationic drugs (dequalinium and chlorhexidine), fluoroquinolones (norfloxacin and ciprofoxacin) and anticancer drugs (mitomycin C). We showed that CraA is a drug/H+ antiporter by ACMA quenching in inverted CraA or CraA variant containing membrane vesicles.
To address the molecular determinants for multidrug binding and transport, 45 mostly single Ala-substitution variants of CraA were created. These include substitution variants for membrane-embedded proton-titratable residues (E38, D46, and E338) and residues predicted to be important for binding and transport of drug, as inferred from docking experiments on basis of a MdfA-derived CraA model. The combined results indicated a high degree of functional similarities between MdfA and CraA. The conserved titratable residues E26 and D34 (E38 and D46 in CraA) are important for transport in both these homologs. The CraA variant E38A is inactive against all tested drugs, but D46A is only inactive for some drugs, suggesting that only E38 is involved in H+-transport.
Another focus of this thesis is the three tetracycline transporters of A. baumannii strain AYE, TetA, TetG and TetA(A). Susceptibility assays involving tetracycline, minocycline, doxycycline and the last-resort antibiotic tigecycline were conducted on E. coli BW25113 ∆emrE∆mdfA overexpressing these transporters. TetA(A) was excluded from further study due to toxicity of the cells caused by protein overexpression. Both TetA and TetG confer resistance against tetracycline, minocycline and doxycycline. Although tigecycline was reported not to be recognized by tetracycline efflux pumps, we surprisingly found that TetA is able to transport tigecycline. The role of TetA in tigecycline efflux in A. baumannii was confirmed by conducting tigecycline susceptibility assays on A. baumannii.
We speculate that TetA embedded in the inner membrane acts in cooperation with RND-type tripartite systems that span the inner and outer membrane to extrude tigecycline from the periplasm across the outer membrane. A. baumannii ATCC 19606 ∆adeAB were indeed sensitive to tigecycline in comparison to wild-type strain. Deletion of adeIJ also leads to sensitivity to tigecycline, but less so compared to the DadeAB phenotype, while A. baumannii ATCC 19606 ∆adeFG did not show any difference compared to wild-type strain in tigecycline susceptibility. Differential gene expression analysis of the RND efflux pumps (adeB, adeG and adeJ) and tetA of A. baumannii strain AYE showed that the expression of tetA expression is significantly upregulated when tigecycline is present in the growth medium.
We conclude that craA encodes a broad-spectrum efflux pump rather than a specific chloramphenicol transporter. In A. baumannii, the synergistic effects with the outer membrane and/or the presence of other transporters could result in the discrepancy observed. Thus, the possibility of CraA in conferring multidrug resistance should not be overlooked, especially when it is up-regulated under antibiotic stress conditions.
Using walls to navigate the room: egocentric representations of borders for spatial navigation
(2021)
Spatial navigation forms one of the core components of an animal’s behavioural repertoire. Good navigational skills boost survival by allowing one to avoid predators, to search successfully for food in an unpredictable world, and to be able to find a mating partner. As a consequence, the brain has dedicated many of its resources to the processing of spatial information. Decades of seminal work has revealed how the brain is able to form detailed representations of one’s current position, and use an internal cognitive map of the environment to traverse the local space. However, what is much less understood is how neural computations of position depend on distance information of salient external locations such as landmarks, and how these distal places are encoded in the brain.
The work in this thesis explores the role of one brain region in particular, the retrosplenial cortex (RSC), as a key area to implement distance computations in relation to distal landmarks. Previous research has shown that damage to the RSC results in losses of spatial memory and navigation ability, but its exact role in spatial cognition remains unclear. Initial electrophysiological recordings of single cells in the RSC during free exploration behaviour of the animal resulted in the discovery of a new population of neurons that robustly encode distance information towards nearby walls throughout the environment. Activity of these border cells was characterized by high firing rates near all boundaries of the arena that were available to the animal, and sensory manipulation experiments revealed that this activity persisted in the absence of direct visual or somatosensory detection of the wall.
It quickly became apparent that border cell activity was not only modulated by the distance to walls, but was contingent on the direction the animal was facing relative to the boundary. Approximately 40% of neurons displayed significant selectivity to the direction of walls, mostly in the hemifield contra-lateral to the recorded hemisphere, such that a neuron in left RSC is active whenever a wall occupies proximal space on the right side of the animal. Using a cue-rotation paradigm, experiments initially showed that this egocentric direction information was invariant to the physical rotation of the arena. Yet this rotation elicited a corresponding shift in the preferred direction of local head-direction cells, as well as a rotation in the firing fields of spatially-tuned cells in RSC. As a consequence, position and direction encoding in RSC must be bound together, rotating in unison during the environmental manipulations, as information about allocentric boundary locations is integrated with head-direction signals to form egocentric border representations.
It is known that the RSC forms many anatomical connections with other parts of the brain that encode spatial information, like the hippocampus and para-hippocampal areas. The next step was to establish the circuit mechanisms in place for RSC neurons to generate their activity in respect to the distance and direction of walls. A series of inactivation experiments revealed how RSC activity is inter-dependent with one of its communication partners, the medial entorhinal cortex (MEC). Together they form a wider functional network that encodes precise spatial information of borders, with information flowing from the MEC to RSC but not vice versa. While the conjunction between distance and heading direction relative to the outer walls was the main driver of neural activity in RSC, border cells displayed further behavioural correlates related to movement trajectories. Spiking activity in either hemisphere tended to precede turning behaviour on a short time-scale in a way that border cells in the right RSC anticipated right-way turns ~300 ms into the future.
The interpretation of these results is that the RSC’s primary role in spatial cognition is not necessarily on the early sensory processing stage as suggested by previous studies. Instead, it is involved in computations related to the generation of motion plans, using spatial information that is processed in other brain areas to plan and execute future actions. One potential function of the RSC’s role in this process could be to act correctly in relation to the nearby perimeter, such that border cells in one hemisphere are involved in the encoding of walls in the contralateral hemifield, after which the animal makes an ipsilateral turn to avoid collision. Together this supports the idea that the MEC→RSC pathway links the encoding of space and position in the hippocampal system with the brain’s motor action systems, allowing animals to use walls as prominent landmarks to navigate the room.
Non-ribosomal peptide synthetase docking domains : structure, function and engineering strategies
(2021)
Non-ribosomal peptide synthetases (NRPSs) are known for their capability to produce a wide range of natural compounds and some of them possess interesting bioactivities relevant for clinical application like antibiotics, anticancer, and immunosuppressive drugs. The diverse bioactivity of non-ribosomal peptides (NRPs) originates from their structural diversity, which results not only from the incorporation of non-proteinogenic amino acids into the growing peptide chain, but also the formation of heterocycles or further peptide modifications like methylation, hydroxylation and acetylation.
The biosynthesis of NRPs is achieved via the orchestrated interplay of distinct catalytic domains, which are grouped to modules that are located on one or more polypeptide chains. Each cycle starts with the selection and activation of a specific amino acid by the adenylation (A) domain, which catalyzes the aminoacyl adenylate formation under ATP consumption. This activated amino acid is then bound via a thioester bond to the 4’-phosphopantetheine cofactor (PPant-arm) of the following thiolation (T) domain. Before substrate loading, the PPant-arm is post-translationally added to the T domain by a phosphopantetheinyl transferase (PPTase), which converts the inactive apo-T domain in its active holo-form. In the last step of the catalytic cycle, two T domain bound peptide building blocks are connected by the condensation (C) domain, resulting in peptide bond formation and transfer of the nascent peptide chain to the following module. Each catalytic cycle is performed by a C-A-T elongation module until the termination module with a C-terminal thioesterase (TE) domain is reached. Here, the peptide product is released by hydrolysis or intramolecular cyclisation.
In comparison to single-protein NRPSs, where all modules are encoded on a single polypeptide chain, multi-protein NRPS systems must also maintain a specific module order during the peptide biosynthesis. Therefore, small C-terminal and N-terminal communication-mediating (COM) domains/docking domains (DD) were identified in the C- and N-terminal regions of multi-protein NRPSs. It was shown that these domains mediate specific and selective non-covalent protein-protein interaction, even though DD interactions are generally characterized by low affinities.
The first publication of this work focuses on the Peptide-Antimicrobial-Xenorhabdus peptide-producing NRPS called PaxS, which consists of the three proteins PaxA, PaxB and PaxC. Here, in particular the trans DD interface between the C-terminal attached DD of PaxB and N-terminal attached DD of PaxC was structurally investigated and thermodynamically characterized by isothermal titration calorimetry (ITC), yielding a dissociation constant (KD) of ~25 µM, which is a DD typical affinity known from further characterized DD pairs. The artificial linking of the PaxB/C C/NDD pair via a glycine-serine (GS) linker facilitated the structure determination of the DD complex by solution nuclear magnetic resonance (NMR) spectroscopy. In comparison to known docking domain structures, this DD complex assembles in a completely new fold which is characterized by a central α-helix of PaxC NDD wrapped in two V-shaped α-helices of PaxB CDD.
The first manuscript of this work focuses on the application of synthetic zippers (SZ) to mimic natural docking domains, enabling the easy assembly of NRPS building blocks encoded on different plasmids in a functional way. Here, the high-affinity interaction of SZs unambiguously defines the order of the synthetases derived from single-protein NRPSs in the engineered NRPS system and allows the recombination in a plug-and-play manner. Notably, the SZ engineering strategy even facilitates the functional assembly of NRPSs derived from Gram-positive and Gram-negative bacteria. Furthermore, the functional incorporation of SZs into NRPS modules is not limited to a specific linker region, so we could introduce them within all native NRPS linker regions (A-T, T-C, C-A).
The second publication and the second manuscript of this thesis again focus on the multi-protein PaxS, in particular on the trans interface between the proteins PaxA and PaxB on a molecular level by solution NMR. Therefore, the PaxA CDD adjacent T domain was included into the structural investigation besides the native interaction partner PaxB NDD. Before a three-dimensional structure could be obtained from NMR data, the NH groups located in the peptide bonds had to be assigned to the respective amino acids of the proteins (backbone assignment). Based on these backbone assignments, the secondary structure of PaxA T1-CDD and PaxB NDD in the absence and presence of the respective interaction partner were predicted.
The structural and functional characterization of the PaxA T1-CDD:PaxB NDD complex is summarized in manuscript two. The thermodynamic analysis of this complex by ITC determined a KD value of ~250 nM, whereas the discrete DDs did not interact at all. The high-affinity interaction allowed to determine the solution NMR structure of the PaxA T1-CDD:PaxB NDD complex without the covalent linkage of the interaction partners and an extended docking domain interface could be determined. This interface comprises on the one hand α-helix 4 of the PaxA T1 domain together with the α-helical CDD, and on the other hand the PaxB NDD, which is composed of two α-helices separated by a sharp bend.
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Standard biorelevant media reflect the average gastrointestinal (GI) physiology in healthy volunteers. The use of biorelevant media in in vitro experiments has become an important strategy to predict drug behaviour in vivo and is often combined with in silico tools in order to simulate drug plasma profiles over time. In addition to the healthy population, the effects of disease state or co-administration of other drugs on plasma profiles must be considered to assure drug efficacy and safety. Thus, there is a need for a more accurate representation of the human GI physiology when it is altered by disease or co-administered drugs in in vitro dissolution experiments.
This thesis focused on the development of biorelevant media and dissolution tests reflecting GI physiology in circumstances where the gastric pH is elevated. Diseases linked to an elevated gastric pH are hypochlorhydria and achlorhydria, but these days treatment with acid-reducing agents (ARAs) is the single greatest cause of elevation in gastric pH. pH-dependent drug-drug interactions (DDIs) with ARAs are frequent, as the ARAs are used in a number of diseases using a variety of drugs. As the drugs currently on the market are often poorly soluble and ionisable, their dissolution is highly dependent on the pH of the GI tract, especially the gastric pH.
The thesis research consisted of several steps. In the first step, physiological changes in the human GI tract during the therapy with ARAs were identified. Parameters of the standard biorelevant gastric medium FaSSGF were adjusted to the identified changes to reflect the impact of ARA co-administration on the gastric physiology. The media aim to assess the potential extent of the ARA impact on gastric physiology by introducing biorelevant media pairs, ARA pH 4 and pH 6 media, of which one reflects a lesser, and the other a stronger impact of ARAs.
In the second step these ARA media were implemented in in vitro dissolution set-ups.
The dissolution of poorly soluble ionisable drugs was assessed using one-stage, two-stage and transfer model set-ups, as well as using a more evolved in vitro system TIM-1. Comparison of results from dissolution set-ups using the standard, low pH, gastric biorelevant medium FaSSGF (pH 1.6 or 2), and the same set-ups using ARA pH 4 and pH 6 media, shows a decrease in dissolution rate and extent for weakly basic compounds PSWB 001 and dipyridamole, and an increase in rate and extent of dissolution for the weakly acidic compound raltegravir potassium, when the gastric pH is elevated. Due to different physicochemical properties, the extent of the impact of physiological changes during ARA therapy (when either ARA pH 4 or pH 6 medium is selected) on dissolution varied among the model drugs. Thus, the bracketing approach, which considers a range of the possible ARA co-administration impact on drug dissolution, was confirmed to be best practice in assessing the impact of ARAs.
In the third step, dissolution data from in vitro experiments with ARA media was implemented into in silico models. The predictions using various in silico model approaches in Simcyp™ Simulator (minimal and full PBPK model, dissolution input using DRM and DLM) successfully bracketed in vivo data on drug administration during ARA therapy and correctly predicted an overall decrease in plasma concentration for the two model weakly basic compounds and an increase in plasma concertation for the model weakly acidic compound.
In all assessed scenarios, the ARA methods proved to be an essential part of evaluating and predicting the impact of ARAs on drug pharmacokinetics, and appropriately predicted the extent of a possible impact of ARAs on the drug plasma profiles. Thus, the ARA biorelevant media and dissolution tests were demonstrated to be valuable tools reflecting administration of drugs when the gastric pH is elevated and able to predict the impact of ARA therapy on drug administration.
The ability to evaluate the impact of human (patho) physioloy on drug behaviour in the gastrointestinal tract is of great importance, as the GI conditions play a significant role in drug release and absorption. Thus, there is great interest on the part of the pharmaceutical industry and regulatory agencies to develop best practices in this field, especially for pH-dependent DDIs. The media and dissolution tests developed in this thesis are biorelevant methods appropriate for evaluation of the impact of elevated gastric pH on drug efficacy and safety. Such methods, used as a risk assessment tool, in connection with evaluation of the efficacy window and potential toxicity, may help to increase confidence about decisions as to whether a pH-effect will occur and whether it is relevant or not, prior to conducting clinical studies. They may also enable changes in inclusion/exclusion criteria during recruiting for large-scale efficacy trials. In fact, the biopharmaceutic approach to drug development is becoming standard practice on a number of fronts, including metabolic DDIs, renal and hepatic insufficiency, powering decision-making process and possibly even waiving certain types of clinical studies.
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We provide extensions of the dual variational method for the nonlinear Helmholtz equation from Evéquoz and Weth. In particular we prove the existence of dual ground state solutions in the Sobolev critical case, extend the dual method beyond the standard Stein Tomas and Kenig Ruiz Sogge range and generalize the method for sign changing nonlinearities.
Photorhabdus and Xenorhabdus are Gram-negative, entomopathogenic bacteria, living in endosymbiosis with the soil-dwelling nematode of the genera Steinernema and Heterorhabditis. The life cycle of these nematodes consists of non-feeding infective juvenile (IJ) stage, which actively searches for insects in the soil. After penetrating the insect prey, Photorhabdus and Xenorhabdus bacteria are released from the nematode gut. The bacteria proliferate and produce toxins to kill the insect. Photorhabdus and Xenorhabdus support nematode development throughout the life cycle and to get rid of food competitors by providing a wide variety of specialized metabolites (SMs). However, little is known about which SMs function as so called “food signals” to trigger the development process.
The IJs develop into adult, self-fertilizing hermaphrodites in a process called recovery, while feeding on cadaver and bacterial biomass. Heterorhabditis and Steinernema proceed to breed until nutrients are exhausted. Next generation IJs (NG-IJs) develop and leave the cadaver to search for another insect prey.
Photorhabdus and Xenorhabdus can be cultivated in defined medium under laboratory conditions. By placing IJs on a plate containing their respective bacterial symbiont, the complete life cycle of the nematodes can be observed in vitro. The in vitro nematode bioassay was used as a tool to investigate the development of the nematode.
The aim of this study was to find the food signals responsible for nematode development. Different Photorhabdus deletion strains unable to produce one or several SMs were co-cultivated with nematodes in the nematode bioassay. Subsequently, two aspects of the life cycle were investigated: recovery and NG-IJ development.
As isopropyl stilbene (IPS) is postulated to function as a food signal to support nematode recovery, it was used as a starting point for investigations. This study was focused on the biosynthetic pathway of IPS, including intermediates, side products and derivatives to investigate which one is in fact responsible for supporting nematode development.
The biosynthesis of IPS requires two precursors, phenylalanine and leucine (Figure 5). The first topic was focused on the phenylalanine derived pathway. Photorhabdus laumondii deletion mutants, defective in intermediate steps of this pathway, were created. The deletion of the genes coding for the phenylalanine ammonium lyase (stlA), converting phenylalanine into cinnamic acid (CA), the coenzyme A (CoA) ligase (stlB) and the operon coding for a ketosynthase and aromatase (stlCDE), were used. These strains were used for nematode bioassay including complementation of mutant phenotypes by feeding experiments. Recovery of nematodes grown on the deletion strains was always lower than recovery of nematodes grown on wild type bacteria. Feeding IPS to a deletion strain did not restore wild type level nematode recovery, thus IPS cannot be the food signal. Instead, the food signal must be another compound derived from this part of biosynthetic pathway. Lumiquinone and 2,5-dihydrostilbene are suggested to function as food signals and need to be investigated in future work.
The second part of this study was focused on the leucine derived pathway, which involved the Bkd complex forming the iso-branched part of IPS. A deletion of bkd was created and phenotypically analysed, subsequently performed with the nematode bioassay. Not only IPS but also other branched SMs, like photopyrones and phurealipids are synthetised by the Bkd complex. Deletions strains defective in producing photopyrones and phurealipids were also performed in nematode bioassays to investigate effects of these SMs individually. Branched SMs did not have an impact on nematode development, but nematodes grown on the ΔbkdABC strain showed a reduced nematode recovery and almost diminished NG-IJs development. As the Bkd complex also produces branched chain fatty acids (BCFAs), feeding experiments were performed with lipid extracts of wild type and mutant strain. All lipid extracts improved recovery, but only wild type lipids could complement NG-IJ development. This strongly indicates that BCFAs play an important role in NG-IJ development, which needs to be proven with purified BCFA feeding. This is an interesting finding, which could improve nematode production for biocontrol agent usage.
The role of IPS derived to epoxy stilbene (EPS) for nematode development, was another focus in the nematode life cycle. Recently it was demonstrated that EPS does not support nematode development. However, EPS forms adducts with amino acids. In my thesis, novel adducts containing the amino acid phenylalanine or a tetrapeptide were characterized. Another adduct, most likely being an EPS dimer, was also characterized. The biological role of such adducts was discussed to be potentially important for insect weakening and the structure of the novel compounds need to be structure elucidated and tested for bioactivity.
Specialized transporter proteins facilitate controlled uptake and extrusion of molecules across biological membranes that would otherwise be impermeable to them. The superfamily of solute carriers (SLC) comprises the second largest group of membrane proteins in humans, acting on a variety of small polar and non-polar molecules and ions. Because of their central role in metabolism, malfunctioning of these proteins often is pathogenic. The interest in SLC transporters as drug targets – as well as for drug delivery – has therefore increased in the past years. For many SLC subfamilies, however, structural and functional information remains scarce to date.
The here presented data provides important insights into different aspects of the transport mechanism of the SLC23 and SLC26 protein families. Importantly, we show that SLC23 nucleobase transporters, in contrast to what was been previously reported, work as uniporters rather than as proton-coupled symporters. In order to do so, we developed the first and only in vitro transport assay for the SLC23 family, which enables investigation of protein function in a defined environment. Moreover, we provide a hypothesis on the role of the extremely conserved negative charged substrate binding site residue found not only in the SLC23, but also SLC4 and SLC26 families. Based on a detailed analysis of binding and transport we conclude that this conserved negative charged has a relevance for protein stability rather than for substrate binding, which explains its conservation for all three protein families that otherwise differ in their substrate specificities and modes of transport. Lastly, we investigated the relevance of oligomerization for the SLC23 and SLC26 families, highlighting the importance of the STAS domain for forming active dimers in the SLC26 anion transporter family.
The vascular endothelium is a monolayer of endothelial cells that builds the inner lining of the blood vessels and constitutes a regulatory organ within the physiological system to sustain homeostasis. Endothelial cells participate in physiological processes including inflammation and angiogenesis. Dysregulation of these processes, however, can evoke or maintain pathological disorders, including cardiovascular and chronic inflammatory diseases or cancer. Although pathological inflammation and angiogenesis represent treatable conditions, current pharmacotherapeutic approaches are frequently not satisfying since their long-term application can evoke therapy resistance and thus reduced clinical efficacy. Consequently, there is an ongoing demand for the discovery of new therapeutic targets and drug leads. Considering that endothelial cells play a critical role in both angiogenesis and inflammation, the vascular endothelium represents a promising target for the treatment of diseases.
Vioprolide A is a secondary metabolite isolated from the myxobacterium Cystobacter violaceus Cb. vi35. Recently, vioprolide A was identified to interact with NOP14, a nucleolar protein involved in ribosome biogenesis. Ribosome biogenesis is an indispensable cellular event that ensures adequate homeostasis. Abnormal alterations in the ribosome biogenesis, referred to as ribosomopathies, however, can lead to an overall increase in the risk of developing cancer. Accordingly, several studies have outlined the involvement of NOP14 in cancer progression and metastasis, and vioprolide A has been demonstrated to exert anti-cancer effects in vitro. However, the impact of vioprolide A and NOP14 on the endothelium has been neglected so far, although endothelial cells are crucially involved in inflammation and angiogenesis under both physiological and pathological conditions.
In the present study, the effect of vioprolide A on inflammatory and angiogenic actions was analysed. In vivo, the laser-induced choroidal neovascularization (CNV) assay outlined a strong inhibitory effect of vioprolide A on both inflammation and angiogenesis. Furthermore, intravital microscopy of the cremaster muscle in mice revealed that vioprolide A strongly impaired the TNF-induced leukocyte-endothelial cell interaction in vivo.
In further experiments, the specific effect of vioprolide A on activation processes of primary human umbilical vein endothelial cells (HUVECs) was examined. According to the in vivo results, vioprolide A decreased the leukocyte-endothelial cell interaction in vitro through downregulating the cell surface expression and total protein expression of ICAM-1, VCAM-1 and E-selectin. Vioprolide A evoked its anti-inflammatory actions via a dual mechanism: On the one hand, the expression of pro-inflammatory proteins, including TNFR1 and cell adhesion molecules, was lowered through a general downregulation of de novo protein synthesis. The inhibition of de novo protein synthesis is most likely linked to the interaction with and inhibition of NOP14 by vioprolide A in HUVECs. On the other hand, the natural product prevented the nuclear translocation and promotor activity of the pro-inflammatory transcription factor NF-ĸB. Interestingly, most anti-inflammatory compounds that interfere with the NF-ĸB signaling pathway prevent NF-ĸB nuclear translocation through recovering or stabilizing the inhibitory IĸB proteins. Vioprolide A, however, decreased rather than stabilized the IĸB proteins and prevented NF-ĸB nuclear translocation through interfering with its importin-dependent nuclear import. By performing siRNA-mediated knockdown experiments, we evaluated the role of NOP14 in inflammatory processes in HUVECs and could establish a causal link between the anti-inflammatory actions of vioprolide A and the deletion of NOP14.
Besides exerting anti-inflammatory actions, we found that vioprolide A potently decreased the angiogenic key features proliferation, migration and sprouting of endothelial cells. Mechanistically, the natural product interfered with pro-angiogenic signaling pathways. Vioprolide A reduced the protein level of growth factor receptors, including VEGFR2, which is the most prominent receptor responsible for angiogenic signaling in endothelial cells. This effect was based on the general inhibition of de novo protein synthesis by the natural product. Downregulation of growth factor receptors impaired the activation of downstream signaling intermediates, including the MAPKs ERK, JNK and p38. To our surprise, however, activation of Akt, another downstream effector of VEGFR2, was increased rather than decreased. Furthermore, vioprolide A lowered the nuclear translocation of the transcriptional coactivator TAZ, which is regulated by the evolutionary conserved Hippo signaling pathway. Interestingly, however, and in contrast to NF-ĸB, TAZ nuclear translocation in mammalian cells seems to be independent of importins. In this context, we found that vioprolide A reduced both the protein level and nuclear localization of MAML1, which is needed to retain TAZ in the nucleus after its successful translocation.
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Das Projekt anan ist ein Werkzeug zur Fehlersuche in verteilten Hochleistungsrechnern. Die Neuheit des Beitrags besteht darin, dass die bekannten Methoden, die bereits erfolgreich zum Debuggen von Soft- und Hardware eingesetzt werden, auf Hochleistungs-Rechnen übertragen worden sind. Im Rahmen der vorliegenden Arbeit wurde ein Werkzeug namens anan implementiert, das bei der Fehlersuche hilft. Außerdem kann es als dynamischeres Monitoring eingesetzt werden. Beide Einsatzzwecke sind
getestet worden.
Das Werkzeug besteht aus zwei Teilen:
1. aus einem Teil namens anan, der interaktiv vom Nutzer bedient wird
2. und aus einem Teil namens anand, der automatisiert die verlangten Messwerte erhebt und nötigenfalls Befehle ausführt.
Der Teil anan führt Sensoren aus — kleine mustergesteuerte Algorithmen —, deren Ergebnisse per anan zusammengeführt werden. In erster Näherung lässt anan sich als Monitoring beschreiben, welches (1) schnell umkonfiguriert werden (2) komplexere Werte messen kann, die über Korrelationen einfacher Zeitreihen hinausgehen.
In this thesis, molecular dynamics (MD) simulations are used to study the interaction of different proteins with lipid bilayers. MD simulations can be used as a “computational microscope” to gain atomistic insights into the interactions between proteins and lipids that can barely be accessed in such detail by experimental methods. The different chapters of this thesis address the lipid sensing functionality of amphipathic helices (AHs) when bound to membranes, the folding of AHs at lipid-water interfaces as well as the conformational dynamics of the HIV-1 Env glycoproteins in viral-like and experimental bilayers. In the last chapter the possibilities to enhance the performance of MD simulations are explored, leading to a more efficient usage of computational resources.
Die Funktion nukleärer Rezeptoren (NR) beruht auf einem empfindlichen Zusammenspiel zwischen ihren Domänen, Coregulatoren und Liganden. Die meisten Rezeptoren binden die DNA als Homo- oder Heterodimere und transregulieren die Gentranskription in Folge von Ligandenbindung. Klassische Assay-Systeme, die sich auf die Untersuchung der NR-Funktion oder auf die Charakterisierung von Substanzen richten, bilden nur die Coregulator-Rekrutierung zu isolierten NR-Ligandenbindungsdomänen (LBDs) ab und vernachlässigen dabei die NR:NR-Interaktion. Damit klammern sie die NR:NR-Wechselwirkung aus, obwohl die Rekrutierung von Cofaktoren durch allosterischen Crosstalk mit der Oligomerisierung verbunden ist. Dies war die Motivation dafür, Assay-Systeme zu entwickeln, welche die Untersuchung von NR-Interaktionen,
insbesondere der NR-Dimerisierung, und deren Modulation durch verschiedene Arten von Liganden ermöglichen. Im Rahmen dieser Doktorarbeit wird ein vielfältiges modulares Set von Assays für die Untersuchung der NR-Dimerisierung und NR-Coregulator-Rekrutierung vorgestellt und deren Anwendbarkeit auf eine Vielzahl von NRs demonstriert. Die Verwendung einer
rekrutierungsunfähigen RXRα-Variante mit einer mutierten AF-2-Domäne ermöglichte den spezifischen Nachweis der Coaktivatorrekrutierung durch PPARγ im Kontext des Heterodimers mit seinem obligatorischen Dimerpartner RXRα. Außerdem konnte gezeigt werden, dass die Aktivierung der RXRα LBD mit ihrem Agonisten SR11237 zu einer Destabilisierung des RXRα-Homodimers, aber zu einer Förderung der Bildung des Heterodimers mit der PPARγ LBD führte.
Ein zentrales Ergebnis war das Phänomen, dass der Einbau von PPARγ in das Heterodimer zu einem erheblichen Anstieg an Affinität gegenüber Coaktivatoren führt, auch in Abwesenheit von Liganden. Somit fördert die RXRα-Aktivierung die Coaktivator-Rekrutierung von PPARγ indirekt durch eine Verschiebung der Oligomerisierungspräferenz von RXRα in Richtung des Heterodimers. Zusätzlich wurde die Wirkung von Tetrac, einem nicht-klassischen Schilddrüsenhormon, auf PPARγ und RXRα untersucht und dessen Aktivierungsvermögen gegenüber beiden Rezeptoren mit einer deutlich vervielfachten Wirkung auf das Heterodimer demonstriert. Mit Hilfe des neu etablierten Cofaktor-Rekrutierungsscreens konnte die Dynamik
zwischen dem Nurr1 NR und 29 kanonischen Coregulatoren, von denen einige ligandenabhängig hohe Affinitäten zum Rezeptor aufwiesen, beleuchtet werden. Diese Interaktionen wurden
bidirektional durch eine Reihe von strukturell unterschiedlichen nicht-steroidalen Antirheumatika moduliert, die auch die Affinitäten sowohl des Nurr1-Homodimers als auch des Heterodimers mit der RXRα LBD beeinflussen konnten. Die Nurr1-Dimere zeigten zudem auch eine hohe Empfindlichkeit gegenüber dem Endocannabinoid Anandamid. Zusätzlich zu PPARγ, RXRα und Nurr1 wurden erste Schritte zur Untersuchung der TLX NR-Funktion unternommen. Unter Anwendung der entwickelten Assays konnte die Heterodimerbildung der TLX und der RXRα LBD
beschrieben und die ligandenabhängige Rekrutierung des Corepressors SMRT beobachtet werden.
Zusammenfassend beschreibt diese Arbeit einen Satz von Werkzeugen für die Untersuchung von ligandenabhängiger NR-Coregulator-Interaktion und Oligomerisierung. Auf diese Weise trug sie zu einer umfassenderen Identifizierung und Charakterisierung von NR-Liganden bei und stellt eine valide Basis für die weitere Assayentwicklung und Ligandendesign dar.
Octanoic acid (C8 FA) is a medium-chain fatty acid which, in nature, mainly occurs in palm kernel oil and coconuts. It is used in various products including cleaning agents, cosmetics, pesticides and herbicides as well as in foods for preservation or flavoring. Furthermore, it is investigated for medical treatments, for instance, of high cholesterol levels. The cultivation of palm oil plants has surged in the last years to satisfy an increasing market demand. However, concerns about extensive monocultures, which often come along with deforestation of rainforest, have driven the search for more environmentally friendly production methods. A biotechnological production with microbial organisms presents an attractive, more sustainable alternative.
Traditionally, the yeast Saccharomyces cerevisiae has been utilized by mankind in bread, wine, and beer making. Based on comprehensive knowledge about its metabolism and genetics, it can nowadays be metabolically engineered to produce a plethora of compounds of industrial interest. To produce octanoic acid, the cytosolic fatty acid synthase (FAS) of S. cerevisiae was utilized and engineered. Naturally, the yeast produces mostly long-chain fatty acids with chain lengths of C16 and C18, and only trace amounts of medium-chain fatty acids, i.e. C8-C14 fatty acids. To generate an S. cerevisiae strain that produces primarily octanoic acid, a mutated version of the FAS was generated (Gajewski et al., 2017) and the resulting S. cerevisiae FASR1834K strain was utilized in this work as a starting strain.
The goal of this thesis was to develop and implement strategies to improve the production level of this strain. The current mode of quantification of octanoic acid includes labor-intensive, low-throughput sample preparation and measurement – a main obstacle in generating and screening for improved strain variants. To this end, a main objective of this thesis was the development of a biosensor. The biosensor was based on the pPDR12 promotor, which is regulated by the transcription factor War1. Coupling pPDR12 to GFP as the reporter gene on a multicopy plasmid allowed in vivo detection via fluorescence intensity. The developed biosensor enabled rapid and facile quantification of the short- and medium-chain fatty acids C6, C7 and C8 fatty acids (Baumann et al., 2018). This is the first biosensor that can quantify externally supplied octanoic acid as well as octanoic acid present in the culture supernatant of producer strains with a high linear and dynamic range. Its reliability was validated by correlation of the biosensor signal to the octanoic acid concentrations extracted from culture supernatants as determined by gas chromatography. The biosensor’s ability to detect octanoic acid in a linear range of 0.01-0.75 mM (≈1-110 mg/L), which is within the production range of the starting strain, and a response of up to 10-fold increase in fluorescence after activation was demonstrated.
A high-throughput FACS (fluorescence-activated cell sorting) screening of an octanoic acid producer strain library was performed with the biosensor to detect improved strain variants (Baumann et al., 2020a). For this purpose, the biosensor was genomically integrated into an octanoic acid producer strain, resulting in drastically reduced single cell noise. The additional knockout of FAA2 successfully prevented medium-chain fatty acid degradation. A high-throughput screening protocol was designed to include iterative enrichment rounds which decreased false positives. The functionality of the biosensor on single cell level was validated by adding octanoic acid in the range of 0-80 mg/L and subsequent flow cytometric analysis. The biosensor-assisted FACS screening of a plasmid overexpression library of the yeast genome led to the detection of two genetic targets, FSH2 and KCS1, that in combined overexpression enhanced octanoic acid titers by 55 % compared to the parental strain. This was the first report of an effect of FSH2 and KCS1 on fatty acid titers. The presented method can also be utilized to screen other genetic libraries and is a means to facilitate future engineering efforts.
In growth tests, the previously reported toxicity of octanoic acid on S. cerevisiae was confirmed. Different strategies were harnessed to create more robust strains. An adaptive laboratory evolution (ALE) experiment was conducted and several rational targets including transporter- (PDR12, TPO1) and transcription factor-encoding genes (PDR1, PDR3, WAR1) as well as the mutated acetyl-CoA carboxylase encoding gene ACC1S1157A were overexpressed or knocked out in producer or non-producer strains, respectively. Despite contrary previous reports for other strain backgrounds, an enhanced robustness was not observable. Suspecting that the utilized laboratory strains have a natively low tolerance level, four industrial S. cerevisiae strains were evaluated in growth assays with octanoic acid and inherently more robust strains were detected, which are suitable future production hosts.
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The role of orthographic knowledge for reading performance in German elementary school children
(2021)
Reading is crucial for successful participation in the modern world. However, 3-8% (e.g., Moll et al., 2014) of children in elementary school age show reading difficulties, which can lead to limited education and enhance risks of social and financial disadvantages (Valtin, 2017). Therefore, it is important to identify reading relevant components (Tippelt & Schmidt-Hertha, 2018). In this context, especially phonological awareness (i.e., awareness of the sound structure of the language) and naming speed (i.e., fast and automatized retrieval of information) were identified as significant components for reading skills (e.g., Georgiou et al., 2012; Landerl & Thaler, 2006; Vellutino, Fletcher, Snowling, & Scanlon, 2004). One further component, which is of growing interest to the recent research, is orthographic knowledge. It comprises the knowledge about the spelling of specific words (word-specific orthographic knowledge) and about legal letter patterns (general orthographic knowledge; Apel, 2011).
Previous research focused predominantly on examining the role of orthographic knowledge on basic reading level, including word identification and word meaning (Conrad et al., 2013; Rothe et al., 2015). The relationship between orthographic knowledge and reading comprehension as the core objective of reading, including understanding of the relationship between words within a sentence as well as building a coherence between sentences (Perfetti et al., 2005), was on the contrary scarcely the object of research. The first goal of this dissertation is, therefore, to provide a remedy by investigating the role of orthographic knowledge on higher reading processes (sentence- and text-level). The scarce body of research investigating children with reading difficulties provide a mixed result pattern (e.g., Ise et al., 2014). Therefore, this dissertation aims at clarifying the influence of orthographic knowledge on word-, sentence-, and text-level in children without and with reading difficulties.
A thorough understanding of reading relevant components is also important for conception of interventions aiming at individual reading performance improvements in order to prevent school failure. One promising approach to help children to overcome their reading difficulties is a text-fading based reading training. During this procedure, reading material is faded out letter by letter in reading direction (i.e., in German from left to right; Breznitz & Nevat, 2006). The aim of this manipulation is to prompt the individual to read faster than usual, resulting in reading rate and comprehension improvements (e.g., Nagler et al., 2015). However, the underlying mechanisms leading to improvements of reading performance are still unclear. Considering previous findings showing orthographic skills to influence training outcomes (Berninger et al., 1999), and also word reading performance after a reading intervention (Stage et al., 2003), it seems plausible to include orthographic knowledge when investigating potential training effects. Therefore, this dissertation aims at investigating the predictive value of orthographic knowledge for comprehension performance during the text-fading based reading training.
In order to answer the first research question, two empirical papers are implemented (see Appendix A: Zarić et al., 2020 and Appendix B: Zarić & Nagler, 2021), which investigate the role of orthographic knowledge for reading at word-, sentence-, and text-level in German school children without and with reading difficulties. The study by Zarić et al. (2020) examines the incremental predictive value for explained reading variance of both word-specific and general orthographic knowledge in relation to variance amount explained by general intelligence and phonological awareness. For this purpose, data from 66 German third-graders without reading difficulties were analyzed. Correlation and multiple regression analyses have shown that word-specific and general orthographic knowledge contribute a unique significant amount to the variance of reading comprehension on word-, sentence-, and text-level, over and above the explained variance by general intelligence and phonological awareness. In order to answer the question whether word-specific and general orthographic knowledge also explain variance in children with poor reading proficiency, in addition to established predictors phonological awareness and naming speed, the data from 103 German third-graders with reading difficulties were analyzed in a second study (Zarić & Nagler, 2021). The analyses revealed that word-specific and general orthographic knowledge explain a unique significant amount of the variance of reading on word- and sentence-level. On text-level, these two components did not explain a significant amount of unique variance. Here, only phonological awareness was shown to be a significant predictor. The results indicate that the knowledge about the spelling of specific words (word-specific orthographic knowledge) and the knowledge about legal letter patterns (general orthographic knowledge) contribute to reading comprehension on word-level. Following the assumptions, for instance, of the Lexical Quality Hypothesis (Perfetti & Hart, 2002) high-quality orthographic representations are considered to be important for higher reading processes, such as comprehension.
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An investigation of photoelectron angular distributions and circular dichroism of chiral molecules
(2021)
The present work demonstrates the capability of several type of molecular frame photoelectron angular distributions (MFPADs) and their linked chiroptical phenomenon the photoelectron circular dichroism (PECD) to map in great detail the molecular geometry of polyatomic chiral molecules as a function of photoelectron energy. To investigate the influence of the molecular potential on the MFPADs, two chiral molecules were selected, namely 2-(methyl)oxirane (C3H6O, MOx, m = 58,08 uma) and 2-(trifluoromethyl)oxirane (C3H3F3O, TFMOx, m = 112,03 uma). The two molecules differs in one substitutional group and share an oxirane group where the O(1s) electron was directly photoionized with the use of synchrotron radiation in the soft X-ray regime. The direct photoionization of the K-shell electron is well localized in the molecule and it induces the ejection of two or more electrons; the excited system separates into several charged (and eventually neutral) fragments which undergo Coulomb explosion due to their charges. The electrons and the fragments were detected using the COLd Target Recoil Ion Momentum Spectroscopy (COLTRIMS) and the momentum vectors calculated for each fragment belonging from a single ionization. The former method gives the possibility to post-orient molecules in space, giving access to the molecular frame, thus the MFPAD and its related PECD for multiple light propagation direction.
Stereochemistry (from the Greek στερεο- stereo- meaning solid) refers to chemistry in three dimensions. Since most molecules show a three-dimensional structure (3D), stereochemistry pervades all fields of chemistry and biology, and it is an essential point of view for the understanding of chemical structure, molecular dynamics and molecular reactions. The understanding of the chemistry of life is tightly bounded with major discoveries in stereochemistry, which triggered tremendous technical advancements, making it a flourishing field of research since its revolutionary introduction in late 18th century. In chemistry, chirality is a brunch of stereochemistry which focuses on objects with the peculiar geometrical property of not being superimposable to their mirror-images. The word chirality is derived from the Greek χειρ for “hand”, and the first use of this term in chemistry is usually attributed to Lord Kelvin who called during a lecture at the Oxford University Junior Scientific Club in 1893 “any geometrical figure, or group of points, “chiral”, and say that it has chirality if its image in a plane mirror, ideally realized, cannot be brought to coincide with itself.”. Although the latter is usually considered as the birth of the word chirality, the concept underlying it was already present in several fields of science (above all mathematics), already proving the already multidisciplinary relevance of chirality across many field of science and beyond. Nature shows great examples of chiral symmetry on all scales. Empirically, it is possible to observe it at macroscopic scale (e.g. distribution of rotations of galaxies), down to the microscopic scale (e.g. structure of some plankton species), but it is at the molecular level where the number gets remarkable: most of the pharmaceutical drugs, food fragrances, pheromones, enzymes, amino acids and DNA molecules, in fact, are chiral. Moreover, the concept of chirality goes far beyond the mere spatial symmetry of objects being crucially entangled with the fundamental properties of physical forces in nature. The symmetry breaking, namely the different physical behaviour of a two chiral systems upon the same stimuli, is considered to be one of the best explanation for the long standing questions of homochirality in biological life, and ultimately to the chemical origin of life on Earth as we know it. Our organism shows high enantio-selectivity towards specific compounds ranging from drugs, to fragrances. Over 800 odour molecules commonly used in food and fragrance industries have been identified as chiral and their enantiomeric forms are perceived to have very different smells, as the well-know example of D- and L- limonene. Similarly, responses to pharmaceuticals drugs can be enantiomer specific, and in fact about 60 % the drugs currently on the market are chiral compounds, and nearly 90 % of them are sold as racemates. The same degree of enantio-selectivity is observed in the communications systems of plants and insects. Plants produce lipophilic liquids with high vapour pressure called plant volatiles (PVs) which are synthesized via different enzymes called tarpene synthases that are usually chiral. Chiral molecules and chiral effects have a strong impact on all the fields of science with exciting developments ranging from stereo-selective synthesis based on heterogeneous enantioselective catalysis, to optoelctronics, to photochemical asymmetric synthesis, and chiral surface science, just to cite a few.
Chiral molecules come in two forms called enantiomers. Their almost identical chemical and physical properties continue to pose technical challenges concerning the resolution of racemic mixtures, the determination of the enantiomeric excess, and the direct determination of the absolute configuration of an enantiomer. ...
Für jeden Betroffenen ist die Diagnose Krebs ein schwerwiegender Einschnitt in der Lebensqualität und -führung, da die Behandlung oftmals mit langen Chemotherapien einhergeht. Moderne Durchbrüche in der Krebsbehandlung stammen aus dem Forschungsbereich der zielgerichteten Molekulartherapie oder aus dem Gebiet der Immuntherapien, die zu beachtlichen Erfolgen bei der Behandlung von Krebspatienten führten. Trotzdem bleiben auf dem Gebiet der Onkologie weiterhin Fragen zu den grundlegenden biologischen Prozessen unbeantwortet.
Zu den Onkoproteinen, die das Tumorwachstum in Leukemiezellen stark beeinflussen, gehören die Proteine der Klasse der mixed lineage leukemia (MLL) Histonmethyltransferasen. Genetische Fusionen des mll Gens, sogenannte Rearragments, führen zu MLL-fusion Produkten, die erheblich zum Verlauf der aggressiven akuten myeloischen Leukämie (AML) beitragen. Ein weiteres Onkoprotein, das für den Krankheitsverlauf vieler Krebsarten relevant ist, ist die Transkriptionsfaktorfamilie MYC. Überexprimierung von MYC wurde in einem Drittel aller humanen Tumore beobachtet. Zahlreiche Studien belegen, dass hohe MYC Level die Expression von Genen regulieren, die essentiell für den Transformationsprozess und somit das Tumorwachstum sind. Da der Transkriptionsfaktor weder eine sabile tertiäre Proteinstruktur noch eine für Inhibitoren adressierbare Bindetasche aufweist, gilt MYC bis heute als undruggable.
Sowohl die Histonmethyltransferase MLL1, als auch der Transkriptionsfaktor MYC interagieren mit einem ca. 37 kDa Protein namens WD40-repeat containing Protein 5 (WDR5), das durch seine propellerförmige Struktur eine Oberfläche mit insgesamt zwei Bindestellen aufweist. Mehrere Studien zeigten, dass WDR5 die Stabilität und somit die Funktion epigenetischer Proteinkomplexe wie SET/ MLL und NSL gewährleistet. In diesem Kontext wurde WDR5 als relevantes Target für die MLL-rearragend akute lymphatische Leukämie (ALL) postuliert. Weitere Studien zeigten zusätzliche Rollen von WDR5, wie die Interaktion zwischen WDR5 und dem Onkoprotein MYC sowie dessen Rekrutierung zum Chromatin. Seit 2015 wurden erfolgreich mehrere niedermolekulare Wirkstoffe für die Inhibierung von WDR5 entwickelt. Dabei zielten die meisten der literaturbekannten Inhibitoren auf die Argininmotiv-erkennende WDR5-interacting (Win) Bindestelle, eine große, hydrophobe Bindetasche im Zentrum des WDR5-Propellers. Die Resultate der besser erforschten Win Inhibitoren zeigten, dass WDR5 ein erfolgsversprechendes Target zur Inhibierung von leukämischen (MLL-r-abhängigen) und neuroblastomatischen (MYC-abhängigen) Zellwachstum ist.
Da beide Bindestellen des WDR5 Proteins Interaktionen mit onkologisch bedeutsamen Faktoren eingehen, würde eine einseitige Inhibierung nur die Effekte der jeweiligen Bindestelle aufzeigen. Diese Limitierung könnte jedoch durch die Entwicklung von WDR5 PROTACs (Proteolysis targeting chimeras) aufgehoben werden, da alle Gerüstfunktionen des Proteins und Protein-Protein-Interaktionen durch die Degradierung von WDR5 entfernt werden würden. Dabei induzieren die heterobifunktionellen Moleküle den Abbau des Zielproteins über das zelleigene Ubiquitin-Proteasom-System, statt die Enzymfunktion zu inhibieren. Nach dem zelleigenen Abbau des Zielproteins wird der PROTAC freigesetzt und kann einen neuen Zyklus der Proteindegradation einleiten, was die erforderliche Menge an Wirkstoff verringert.
Diese Dissertation beschäftigte sich mit dem Design, der Synthese sowie der biophysikalischen und biologischen Evaluierung von WDR5 PROTACs. Ausgehend von literaturbekannten WDR5 Liganden wurden zwei verschiedene PROTAC Typen entworfen. Diese beiden Molekültypen besitzen einen unterschiedlichen geometrischen Austrittswinkel, wodurch die Chance auf eine erfolgreiche Komplexbildung zwischen WDR5, PROTAC und E3 Ligase erhöht wird. Als Leitstruktur fungierten die Verbindungen OICR-9429 sowie DDO-2117 und ausgehend von Ligand (6d) wurden heterobifunktionelle Moleküle mit verschiedenen Linkersystemen ([PEG]- und alkyl-basiert, sowie aromatisch verbrückt) und verschiedenen E3 Ligase Liganden (Cereblon, VHL und MDM2) synthetisiert. Die anschließenden biochemischen und biophysikalischen Evaluierungen der verschiedenen PROTACs durch Thermofluor (DSF) und ITC zeigten eine hohe in vitro Affinität einiger Moleküle. Die zelluläre Permeabilität der großen Moleküle wurde in einem hier etablierten BRET Assay untersucht. Zur Assay-Etablierung wurden drei Tracer (21a-c), basierend auf BODIPY Konjugaten, synthetisiert und getestet, bevor die PROTACs in intakten und lysierten Zellen vermessen wurden. Während die zellulären Affinitäten von Cereblon- und VHL-adressierenden PROTACs sich im niedrigen μM Bereich bewegten, wurden die nicht zellgängigen MDM2 PROTACs von weiteren Experimenten ausgeschlossen.
Die Degradierungeffizienz der WDR5 PROTACs (7a-e) und (8a-j) wurden in der Leukämie Zellinie MV4-11 untersucht, da diese die am meisten auftretende MLL fusion Mutation AF4 birgt. Dabei wurde der Proteinabbau von WDR5 über den HiBiT Assay sowie Western Blots nachgewiesen. ...
Paläoklimarekonstruktionen, die es sich zum Ziel gesetzt haben, Klima-Mensch Interaktionen auf lange Zeitreihen betrachtet zu erforschen, nehmen begünstigt durch die aktuell intensiv geführte Klimadebatte, einen immer größer werdenden Stellenwert in der öffentlichen und wissenschaftlichen Wahrnehmung ein. Denn trotz aller wissenschaftlicher Fortschritte, die in den vergangenen Jahrzehnten im Bereich der modernen Klimaforschung gemacht wurden, bleibt die zuverlässige Vorhersage und Modellierung von zukünftigen Klimaveränderungen noch immer eine der größten Herausforderungen unser heutigen Zeit. Betrachtet man die Karibik exemplarisch in diesem Rahmen, dann prognostizieren viele Modellrechnungen, infolge steigender Ozeantemperaturen, ein deutlich häufigeres Auftreten von tropischen Stürmen und Hurrikanen sowie eine Verschiebung hin zu höheren Sturmstärken. Dieser Trend stellt für die Karibik und viele daran angrenzende Staaten eine der größten Gefahren des modernen Klimawandels dar, den es wissenschaftlich über einen langen Zeitrahmen zu erforschen gilt.
Klimaprognosen stützen sich meist vollständig auf hoch-aufgelöste instrumentelle Datensätze. Diese sind aber alle durch einen wesentlichen Aspekt limitiert. Aufgrund ihrer eingeschränkten Verfügbarkeit (~150 Jahre) fehlt ihnen die erforderliche Tiefe, um die auf langen Zeitskalen operierenden Prozesse der globalen Klimadynamik adäquat abbilden zu können. Betrachtet man das Holozän in seiner Gesamtheit, so wurde die globale Klimadynamik über die vergangenen ~11,700 Jahre von periodisch auftretenden Prozessen und Abläufen gesteuert. Diese wirken grundsätzlich über Zeiträume von mehreren Jahrzehnten, teilweise Jahrhunderten und in einigen Fällen sogar Jahrtausenden. Viele dieser natürlichen Prozesse, können in der kurzen Instrumentellen Ära nicht gänzlich identifiziert und angemessen in Klimamodellen berücksichtig werden. Die alleinige Berücksichtigung der Instrumentellen Ära bietet daher nur eine eingeschränkte Perspektive, um die Ursachen und Abläufe von vergangenen sowie mögliche Folgen von zukünftigen Klimaveränderungen zu verstehen. Um diese Einschränkung zu überwinden, ist es somit erforderlich, dass die geowissenschaftliche Forschung mit Proxymethoden ein zusammenfassendes und mechanistisches Verständnis über alle Holozänen Klimaveränderungen erlangt.
Wenn man sich diese Limitierung, die ansteigenden Ozeantemperaturen und das in der Karibik in den vergangen 20 Jahren vermehrte Auftreten von starken tropischen Zyklonen ins Gedächtnis ruft, ist es nachvollziehbar, dass im Rahmen dieser Doktorarbeit ein zwei Jahrtausende langer und jährlich aufgelöster Klimadatensatz erarbeitet werden soll, der spät Holozäne Variationen von Ozeanoberflächenwasser-temperaturen (SST) und daraus resultierende lang-zeitliche Veränderungen in der Häufigkeit tropischer Zyklone widerspiegelt. In Zentralamerika wird das Ende der Maya Hochkultur (900-1100 n.Chr.) mit drastischen Umweltveränderungen (z.B. Dürren) assoziiert, die während der Mittelalterlichen Warmzeit (MWP; 900-1400 n.Chr.) durch eine globale Klimaveränderung hervorgerufen wurde. Die aus einem „Blue Hole“ abgeleiteten Informationen über Klimavariationen der Vergangenheit können als Referenz für die gegenwärtige Klimakriese verwendet werden.
Als „Blue Hole“ wird eine Karsthöhle bezeichnet, die sich subaerisch während vergangener Meeresspiegeltiefstände im karbonatischen Gerüst eines Riffsystems gebildet hat und in Folge eines Meeresspiegelanstiegs vollständig überflutet wurde. In einigen wenigen marinen „Blue Holes“ treten anoxische Bodenwasserbedingungen auf. Die in diesen anoxischen Karsthöhlen abgelagerten Abfolgen mariner Sedimente können als einzigartiges Klimaarchiv verwendet werden, da sie aufgrund des Fehlens von Bioturbation eine jährliche Schichtung (Warvierung) aufweisen.
In dieser kumulativen Dissertation über das „Great Blue Hole“ werden die Ergebnisse eines 3-jährigen Forschungsprojekts vorgestellt, dass das Ziel verfolgte einen wissenschaftlich herausragenden spät Holozänen Klimadatensatz für die süd-westliche Karibik zu erzeugen. Beim „Great Blue Hole“ handelt es sich um ein weltweit einzigartiges marines Sedimentarchiv für diverse spät Holozäne Klima-veränderungen, das im Zuge dieser Dissertation sowohl nach paläoklimatischen als auch nach sedimentologischen Fragestellungen untersucht wurde. Die vorliegende Doktorarbeit befasst sich im Einzelnen mit (1) der Ausarbeitung eines jährlich aufgelösten Archives für tropische Zyklone, (2) der Entwicklung eines jährlich aufgelösten SST Datensatzes und (3) einer kompositionellen Quantifizierung der sedimentären Abfolgen sowie einer faziell-stratigraphischen Charakterisierung von Schönwetter-Sedimenten und Sturmlagen. Zu jedem dieser drei Aspekte, wurde jeweils ein Fachartikel bei einer anerkannten wissenschaftlichen Fachzeitschrift mit „peer-review“ Verfahren veröffentlicht.
Der insgesamt 8.55 m lange Sedimentbohrkern („BH6“), der für diese Dissertation untersucht wurde, stammt vom Boden des 125 m tiefen und 320 m breiten „Great Blue Holes“, das sich in der flachen östlichen Lagune des 80 km vor der Küste von Belize (Zentralamerika) gelegenen „Lighthouse Reef“ Atolls befindet. Durch seine besondere Geomorphologie wirkt das, innerhalb des atlantischen „Hurrikan Gürtels“ positionierte, „Great Blue Hole“ wie eine gigantische Sedimentfalle. Die unter Schönwetter-Bedingungen kontinuierlich abgelagerten Abfolgen feinkörniger karbonatischer Sedimente, werden von groben Sturmlagen unterbrochen, die auf „over-wash“ Prozesse von tropischen Zyklonen zurückzuführen sind.
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Taxa under scrutiny in this thesis are Halophytophthora-like oomycetes. The genus Halophytophthora, proposed in 1990, is an assemblage of unrelated species grouped together on the basis habitat preference, i.e. the mangrove or saltmarsh biome, and morphological similarity to Phytophthora. The premise “Phytophthora-like species from the mangrove environment” became the genus concept for Halophytophthora and lasted for almost 2 decades which resulted to the addition of several species (i.e. H. elongata, H. exoprolifera, H. porrigovesica, H. kandeliae, H. masteri, and H. tartarea). At the onset of molecular phylogenetics, Halophytophthora was inferred as a highly polyphyletic taxon and the genus concept was found to be unsuitable. This thesis adds to this, since six Phytophthora spp. were isolated from the mangrove environment, two of which were found in the Philippines (Phytophthora elongata and Phytophthora insolita). After a thorough assessment of the morphologic and phylogenetic data of taxa included in this thesis, several taxonomic novelties were introduced – a new family (Salispinaceae), a new genus (Calycofera), new species (Calycofera cryptica, Phytopythium dogmae, Phytopythium leanoi, Salisapilia coffeyi, and Salispina hoi), and new combinations (Calycofera operculata, Salisapilia bahamensis, S. elongata, S. epistomia, S. masteri, S. mycoparasitica). In addition, Salisapiliaceae and Salisapilia were emended.
The specific and precise arrangement of proteins and biomolecules in 3D is an important prerequisite for the study of cell migration, cellular signal transduction and the production of artificial tissue. In a variety of research approaches, proteins have been immobilized on rigid surfaces such as glass or gold to observe protein-protein or protein-cell interactions. While these commonly used analytical platforms offer advantages such as rapid washing steps and easy use, due to their rigidity and two-dimensionality, they cannot replicate the extracellular matrix (ECM) the native environment of cells. This severe deviation from the natural environment results in significant changes in cell structure and cellular processes such as the polarization of the cell, its morphology, and signal transduction. In order to maintain the functionality of the immobilized proteins, it is also enormously important that the proteins are oriented and anchored in the material under mild conditions.
An immobilization strategy that makes this possible is bioaffinity. For this, the specific interaction of a biomolecule with an interaction partner anchored on a surface is used to immobilize the biomolecule. Such an interaction is for example the nitrilotriacetic acid (NTA)/His-tag binding. NTA is a chelator molecule that, when bound to divalent metal ions such as Ni(II), forms an octahedral complex with oligohistidines. The oligo histidine-tag can be competed out of the complex by free histidine or imidazole due to structural similarity. This is exploited in immobilized metal affinity chromatography (IMAC). The binding of a monoNTA/His-tag complex (KD=10 µM) is not stable enough to be used for immobilizations. Therefore, multivalent variants of the chelator were developed, like trisNTA which has a high affinity for His6 tagged proteins (KD= 10 nM). The PA-trisNTA developed in a preliminary work was the first light-activatable system based on the trisNTA chelator head.
The aim of this work was to synthesize a new two-photon (2P) activatable trisNTA (TPA trisNTA) interaction molecule, to analyze its photophysical characteristics and to apply it for two- and three dimensional (2D/3D) biomolecule patterning. The final goal was to use TPA trisNTA for cellular applications in order to manipulate membrane protein organization. Therefore, TPA trisNTA was designed to maintain a stable autoinhibition enabling the immobilization of proteins under physiological conditions with high precision in the x/y, as well as z dimension only upon light activation. 2P activation brings some outstanding advantages: i) the use of near-infrared (NIR) light is less harmful to cells compared to ultraviolet (UV) light, ii) the longer wavelength allows the radiation to penetrate deeper into tissues, iii) the precision of focal irradiation is more accurate because only a focal volume (about 1 fL) is excited and, unlike UV light, scattered light does not lead to activation.
Several backbones for TPA-trisNTA were considered as 2P cleavable groups due to their 2P absorption ability and small size: 3 nitrodibenzofuran (NDBF), 6 bromo 7 hydroxycoumarin (Bhc), and 7 diethylaminocoumarin (DEAC). Initially, suitable synthetic routes were developed for the respective carbaldehydes, since these represented an important intermediate for both the construction of amino acid (aa) derivatives as well as ß hydroxy acids. ß Hydroxy acids were important intermediates because their photocleavage differs from aa derivatives. To establish the conversion from carbaldehydes to hydroxy acids via Reformatsky reaction, commercially available carbaldehydes of the nitroveratral (NV) or nitropiperonal (NP) group were used in addition. The conversion of NDBF, NV, NP proved to be difficult, whereas the ß-hydroxy acid was successfully synthesized from Bhc as well as from DEAC.
Starting from DEAC ß hydroxy acid, a Fmoc protected amino acid derivative was synthesized. To ensure high cleavage efficiency, the DEAC ß hydroxy acid was linked to monoFmoc ethylenediamine through a carbamate linker. Subsequently, the photocleavable group was successfully incorporated into the linker of TPA-trisNTA by solid-phase peptide synthesis (SPPS).
The functional principle of TPA-trisNTA, similar to PA-trisNTA, is based on the autoinhibition of the multivalent chelator head trisNTA, which is linked to an intramolecular oligohistidine sequence by a peptide linker. In presence of Ni(II) ions, trisNTA forms a metal ion-mediated complex with histidine, causing TPA-trisNTA to self-inactivate. The cleavage site is the DEAC based photocleavable amino acid. In contrast to PA-trisNTA, the incorporation of two photocleavable amino acids was omitted. Instead, only one photocleavable DEAC was incorporated in front of the His tag. To avoid a second DEAC group within the His tag, a His5 tag was used instead of an His6 tag. It is known from preliminary work that a His5 tag is sufficient to maintain autoinhibition in the presence of His6-tagged proteins of interest (POIs), but can be displaced from the complex after light-driven cleavage of the peptide backbone. Placement of a cysteine in the peptide linker between the trisNTA and the DEAC group allowed for permanent surface anchoring after photocleavage of the linker.
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This thesis deals with the phenomenology of QCD matter, its aspects in heavy ion collisions and in neutron stars. The first half of the work focuses on the hadronic phase of QCD matter. One focus is on how the hadronic phase shows itself in heavy ion collisions and how its dynamics can be simulated. The role of hadronic interactions is considered in the context of the lattice QCD data. The second part of this thesis presents a unified approach to QCD matter, the CMF model. The CMF model incorporates many aspects of QCD phenomenology which allows for a consistent description of the hadron-quark transition, making it applicable to the entire QCD phase diagram, i.e., to the cold nuclear matter and to the hot QCD matter. It is shown that a description of both the hot matter created in heavy ion collisions and the cold dense matter in neutron star interiors is possible within one single approach, the CMF model.
Despite constant progress in basic and translational research, cancer is still one of the leading cause of death. In particular, tumors of the central nervous system (CNS) are usually associated with dismal prognosis. Although about 100 distinct subtypes of primary CNS tumors have been classified molecularly, metastases derived from primaries outside the CNS (= brain metastases, BrM) are more frequently observed across brain tumor patients. It is estimated that approximately 20 - 40 % of all cancer patients will develop BrM during their course of disease, and basically every tumor type is able to metastasize to the brain. Nevertheless, BrM are most frequently derived from primaries of the lung, breast, and skin (melanoma). Treatment options for patients with BrM are very limited, and standard of care therapies include surgery, ionizing radiation (e.g. whole brain radio-therapy, WBRT), and some systemic and immuno-therapeutic approaches.
The brain represents a unique organ, which in part is due to the presence of the blood-brain barrier, a unit of the neuro-vascular interface ensuring tightly regulated exchange of nutrients, molecules, and cells. Furthermore, apart from microglia the brain parenchyma does not harbor other immune cells. Those cells however can be found at the borders of the CNS residing in the meninges, for instance. Based on recent insight on the immune landscape in the CNS, a paradigm shift occurred after which the brain is no longer regarded as immune-privileged but rather immune distinct. The phenomenon of immune cell infiltration has been described before in the context of neurological disorders including Multiple Sclerosis, as well as in brain tumors.
Since the development of immune-therapeutic approaches for tumors outside the CNS that aim to evoke sustainable anti-tumor effects, it became increasingly interesting to understand and harness the immune landscape (= tumor microenvironment, TME) of brain tumors, as well. Interestingly, most of the knowledge about the TME is based on studies of primary brain tumors. However, it is known that BrM compared to primary brain tumors induce a different TME like e.g. the recruitment of much more lymphocytes, which is one of the reasons primary brain tumors are considered immunologically “cold” and poorly respond to immuno-therapies. Previous insight into the functional contribution of tumor-associated cells in BrM progression revealed for example that brain-resident cell types (e.g. astrocytes or microglia) promote BrM development and outgrowth. However, until recently a comprehensive view on the cellular composition and functional role of the brain metastases-associated TME was missing and little was known how it changes during tumor progression or standard therapy.
Hence, within this thesis it was sought to describe novel aspects of the TME of preclinical BrM models, which include two xenograft and one syngeneic mouse model. BrM was induced via intra-cardiac injection of tumor cells with a high brain tropism. Both xenograft models were based on immuno-compromised nude mice (Balb/c nude) and included the melanoma-to-brain (M2B) model H1_DL2, and the lung-to-brain (L2B) model H2030. In addition the breast-to-brain model 99LN-BrM was used in wild-type mice (BL6), and therefore represented an immuno-competent, syngeneic model. First BrMs could be detected in the xenograft models at 3 weeks after injection, whereas first 99LN BrMs were detected at 5 weeks. BrM development and progression were monitored by bioluminescence imaging once per week in the xenograft models. Tumor progression in the 99LN model was examined by magnetic resonance imaging. Based on the measurement methods, and for further histologic and cytometric experiments, mice were stratified into groups with small or large BrMs, respectively. Some initial immuno-stainings confirmed previous findings, showing that brain-resident cells like astrocytes and microglia become activated in the presence of tumor cells, whereas neurons for example rather give the impression of passive bystanders. Importantly, an accumulation of IBA1+ cells was observed during BrM progression. IBA1 is a pan-macrophage marker that stains all tumor-associated macrophages (TAMs). However previous work suggested that the TAM population consists of at least two main subpopulations in BrM as well: the resident-infiltrating microglia (MG, TAM-MG), as well as the peripheral and monocytic-derived macrophages (TAM-MDM). Since both cell types within the tumor share morphological traits, and due to the lack of markers to distinguish them, an exact discrimination of both cell types was complicated in the past. Recently, an integrative lineage-tracing-based study identified the integrin CD49d as MDM-specific in the context of brain tumor-associated myeloid cells, hence enabling a reliable dissection of both TAM populations in e.g. flow cytometric experiments.
One of the main aims of this thesis was to dissect the myeloid TME in the three different BrM models during tumor progression. Using a 5-marker flow cytometry (FCM) (CD45/CD11b/Ly6C/Ly6G/CD49d) approach, the following cell populations were examined in more detail: granulocytes, inflammatory monocytes, MDM, and MG.
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Endolysosomal effectors and their relevance for antiviral activity against the Hepatitis E virus
(2021)
Mit über 20 Millionen registrierter Fälle pro Jahr, repräsentiert das Hepatitis-E-Virus (HEV) eine Hauptursache einer viralen Hepatitis weltweit und stellt ein erhebliches Risiko insbesondere für Schwangere und Immunsupprimierte dar. Jedoch sind Behandlungsoptionen stark limitiert und mit teils schweren Nebenwirkungen verbunden. Neue Erkenntnisse des Wechselspiels zwischen Wirtszelle und HEV werden deshalb benötigt, um neue antivirale Wirkstoffe zu entwickeln. Der Fokus der Arbeit wurde hierbei auf Effektoren des endosomalen Systems gesetzt, welches von HEV zur Freisetzung von Virionen genutzt wird.
Eine virale Infektion führt in der Zelle zur Produktion von Interferonen (IFNs) und weiters zu einer IFN-Antwort. Ein essenzielles Effektormolekül, welches HEV nachweislich effizient repressiert, ist die GTPase guanylate binding protein 1 (GBP1). In dieser Studie wurde beleuchtet, dass Letztere durch eine HEV-Infektion induziert wird. Zusätzlich reduziert die ektopische Expression von GBP1 sowohl die intrazelluläre Menge des HEV Kapsidproteins als auch die Menge freigesetzter Virionen. Mechanistisch liegt diesem Sachverhalt die GBP1-induzierte Inkorporation von Virionen in Lysosomen zugrunde, was schlussendlich deren Abbau nach sich zieht. Erkenntnisse über die Rolle verschiedener GBP1 Proteindomänen innerhalb des Mechanismus wurden unter Verwendung ektopischer Expression von GBP1-Mutanten erlangt. Inkorporation der Mutation R48A führt zum Verlust der GTPase-Aktivität. Andererseits führt eine Inkorporation der Mutation S73A zum Verlust der Homodimerisierung, was die nachfolgende Farnesylierung und gekoppelte Membranassoziation reduziert. Hierbei behält GBP1-R48A Fähigkeiten zur Induktion lysosomalen Abbaus von HEV bei, GBP1-S73A jedoch nicht. Dies wiederum bedeutet, dass eine GBP1 Homodimerisierung notwendig für den antiviralen Mechanismus ist, was eine Adapterfunktion des Moleküls für lysosomale Inkorporation nahelegt. Die Relevanz von GBP1 während einer IFNγ-Antwort wurde deshalb mittels siRNA-basiertem Silencing untersucht. Ähnlich der ektopischen Expression von GBP1 induziert IFNγ die lysosomale Degradation von HEV. In Abwesenheit von GBP1 jedoch, ist dieser Effekt signifikant geringer ausgeprägt, was zu einem Effizienzverlust von IFNy in Bezug auf dessen antiviralen Effekt bedeutet. Dies führte schlussendlich zur Identifizierung von GBP1 als essenziellen Restriktionsfaktor gegen HEV, was seine Rolle in Abhängigkeit seiner Homodimerisierung via Induktion lysosomalen Abbaus erfüllt.
Nebst der Induktion von GBP1, konnte eine Akkumulation von Cholesterin in Lysosomen durch IFNy nachgewiesen werden. Da dieses Lipid einen essenziellen Faktor für endosomale Reifung, Transport und Funktionalität darstellt, wurden Cholesterinspiegel und verbundene transkriptionelle Fußabdrücke im Kontext einer HEV Infektion untersucht. Letztere führt zu einer Dysregulation Cholesterin-assoziierter Genexpression, was eine Reduktion intrazellulären Cholesterins nach sich zieht. Auch in HEV infizierten Patienten liegt eine Abnahme des Serumcholesterins vor. Unter Modulation intrazellulären Cholesterins, wurde deutlich, dass die Inhibition der Cholesterinsynthese durch Simvastatin eine verstärkte Freisetzung von Virionen nach sich zieht, was ebenso in HEV infizierten Patienten nachweisbar war. Im Gegensatz hierzu zieht eine Erhöhung intrazellulären Cholesterins via Supplementierung von Lipoproteinpartikeln niedriger Dichte (LDL) oder 25-Hydroxycholesterin eine signifikante Reduktion des viralen Kapsidproteins und freigesetzter Virionen nach sich. Dem liegt eine verstärkte Inkorporation von HEV in Lysosomen mit anschließender Degradation zugrunde. Ob dieser Mechanismus pharmakologisch nutzbar ist, wurde mittels eines Screenings Lipid modulatorischer Medikamente untersucht. Der p-Glykoprotein Inhibitor PSC833 und besonders der PPARα-Agonist Fenofibrat stellten sich als äußerst effiziente Inhibitoren des HEV heraus. Beide führen zu einer Erhöhung und Akkumulation zellulären Cholesterins in vesikulären Strukturen. Dies zieht eine dramatische Erhöhung lysosomaler Lokalisation von HEV nach sich und führt letzten Endes zu einer signifikanten Reduktion freigesetzter Virionen.
Zusammenfassend konnten in dieser Studie essenzielle Funktionen von GBP1 in Bezug auf dessen restriktiven Effekt gegen HEV identifiziert werden. Weiters wurde dieses als entscheidender Wirtsfaktor für die IFNγ-Antwort gegen das Virus identifiziert. Andererseits legt diese Studie nahe, dass HEV niedrige Cholesterinspiegel innerhalb infizierter Zellen für die Freisetzung von Virionen benötigt. Andererseits sind erhöhte intrazelluläre Cholesterinspiegel schädlich für die virale Freisetzung, da der lysosomale Abbau von Virionen induziert wird. Dies führte zur erfolgreichen Entdeckung eines neuartigen antiviralen Wirkstoffes, welcher diesen cholesterinabhängigen Effekt effizient induziert: Fenofibrat.
Rule in International Relations is increasingly observed as an empirical phenomenon and academically conceptualized. This book describes rule in International Relations using four practice-theoretical dimensions. A method is developed to analyze rule from a practice-theoretical point of view - the Practice Analysis of Rule (PAR). The argumentation is followed that resistance is an important dimension of rule, which enables the researcher to understand the quality of rule. However, the empirical analysis of resistance as an indicator of rule does not allow for the analysis of subtle forms of rule sufficiently, which can have grave consequences in international relations. Therefore, to make this possible, the symbolic dimension is formulated after Bourdieu. In the following, three practice-theoretical dimensions are developed and a methodical approach is presented. Resistance is described as a practice-theoretical dimension. Based on actor-network-theory materiality is described a dimension of rule. At last, iterability is described as dimension of rule which can show the repeatability of practices. It can thus indicate the extent of consolidation of rule in each case. Through the analysis of an empirical case using the four practice-theoretical dimensions the researcher will be enabled to analyze transnational relations of rule in a theory guided and history sensitive manner.
The deubiquitinase USP32 regulates non-proteolytic ubiquitination in the endosomal-lysosomal system
(2021)
The regulation of essential cellular processes requires tightly controlled and directed transport of proteins and membranes. The highly dynamic endosomal and lysosomal system forms the key network for exchange and trafficking of molecules with its early endosomes, recycling endosomes, late endosomes, lysosomes, and additionally autophagosomes.
In this system, the small GTPase Rab7 has an essential role at the late endosomal stage regulating vesicle transport, tethering, and fusion, and retromer mediated receptor recycling back to the trans-Golgi network (TGN). Thus, Rab7 is also important for autophagosomes and lysosomes.
Lysosomes do not only represent the end point of the degradation pathway with several feeder pathways. But these organelles are also a dynamic signaling hub for a variety of metabolic processes. The ever-important regulator of cellular biosynthetic pathways mTORC1 dynamically associates with lysosomes where it is activated. mTORC1 activation is a complex multi-step process where a series of signaling events converge in dependence of amino acid levels thereby enabling interactions between the lysosomal v-ATPase, Ragulator complex (consisting of LAMTOR1-5), and Rag GTPases.
Ubiquitin signals are involved in almost all cellular processes. With this, their regulatory mechanism is also described for the endosomal-lysosomal system as well as mTORC1 signaling. Deubiquitinases (DUBs) release conjugated ubiquitin from proteins and thereby maintain the dynamic state of the cellular ubiquitinome.
The ubiquitin-specific protease 32 (USP32) is a poorly characterized DUB with only emerging cellular function. However, its predicted domain structure includes two unique domains within the entire DUB family. It has been linked to the development of breast cancer and small cell lung cancer. Furthermore, overexpressed GFP-USP32 was localized at the TGN, and a global mass spectrometry-based DUB interactome study suggested an interaction with the retromer complex. Based on these data, USP32 was a very interesting candidate to study its cellular function in this PhD project.
To investigate the function without disease background, a polyclonal USP32 knockout (USP32KO) RPE1 cell line was generated using the CRISPR/Cas9 technology. First experiments revealed different protein expression levels in various cell lines, and a subcellular localization of USP32 at membranes of the Golgi and lysosomal compartments. In a subsequent SILAC-based ubiquitinome analysis potential substrates of USP32 were identified. Interestingly, various proteins of the endosomal-lysosomal system were detected with enriched non-proteolytic ubiquitination upon USP32 depletion.
The further characterization of Rab7 as USP32 substrate confirmed the USP32-sensitive ubiquitination of Rab7 at lysine (K) residues 191 and 194. The ubiquitination in USP32KO cells did not change the subcellular localization of Rab7, but enhanced the interaction with the effector protein RILP. This implied that Rab7 was either more active or RILP had higher affinity to ubiquitinated Rab7. The subsequent results verified this theory. The retromer mediated recycling of CI-M6PR back to the TGN was faster or more efficient in USP32-depleted cells.
Accompanying this, levels of hydrolases were enriched in lysosomes isolated from USP32KO cells. Notably, USP32 had no direct effect on expression level or assembly of the retromer complex itself.
The observed lysosomal phenotypes connected another identified substrate to the function of USP32 in the endosomal-lysosomal system: LAMTOR1. LAMTOR1 is a component of the Ragulator complex and thus involved in the activation of mTORC1 at the lysosomal surface. Similar as for Rab7, the first experiments to characterize LAMTOR1 as USP32 substrate confirmed the USP32-sensitive ubiquitination at K20 independent of amino acid availability. However, ubiquitination of LAMTOR1 decreased its lysosomal localization in untreated and amino acid starved USP32KO cells. The following label-free interactome study detected a reduced interaction of LAMTOR1 and subunits of the lysosomal v-ATPase upon loss of USP32. This resulted in a shifted subcellular localization of mTOR (subunit of mTORC1) away from lysosomes. Furthermore, direct substrates of mTORC1 were less or slower re-phosphorylated after long amino acid starvation and re-activation of mTORC1 in USP32KO cells indicating a reduced mTORC1 activity.
Both USP32-dependent regulations of Rab7 and LAMTOR1/Ragulator converged in enhanced autophagic processes analyzed by increased LC3 levels upon amino acid starvation and USP32 depletion.
In summary, the presented thesis described the diverse role of USP32 in the endosomal and lysosomal system, and contributes to the understanding of novel ubiquitin signals in this context.
Plastics contain a complex mixture of chemicals including polymers, additives, starting substances and side-products of processing. These plastic chemicals are prone to leach into the packaged goods, in the case of food contact materials (FCMs), or into the natural environment, in the case of plastic debris. Thus, plastics represent an exposure source of chemicals for humans and wildlife alike. While it is widely known that individual plastic chemicals, such as bisphenol A and phthalates, are hazardous, little is known on the overall chemical composition and toxicity of plastics. When fragmented into smaller particles, referred to as microplastics (< 5 mm), the plastic itself can be ingested by many species. It is well established that microplastic ingestion can have negative consequences for a wide range of organisms including invertebrates, but the contribution of plastic chemicals to the toxicity of microplastics is unclear.
Given the above, the present thesis aimed at a comprehensive toxicological, ecotoxicological and chemical characterization of everyday plastics. For a comparative evaluation, 77 plastic products were selected covering 16 material types (e.g., polyethylene) made from petroleum or renewable feedstocks. These products included biodegradable products, FCMs and non-FCMs, as well as raw materials and final products, respectively. In the first two studies, the chemical mixtures contained in the 77 products were extracted with methanol and extracts were analyzed in a set of four in vitro bioassays and by non-target high-resolution gas or liquid chromatography mass spectrometry. Since an exposure only occurs if chemicals actually leach under realistic conditions, in a third study migration experiments with water were conducted for 24 out of the 77 products. The aqueous migrates were assessed in the same way as the methanolic extracts. In addition, the freshwater invertebrate Daphnia magna was exposed chronically to microplastics made of polyvinylchloride (PVC), polyurethane (PUR) and polylactic acid (PLA) to investigate the contribution of chemicals in microplastic toxicity, in a fourth study.
The experimental findings demonstrate that a wide variety of chemicals is present in plastics. A single plastic product can contain up to several thousand chemical features, most of which unique to that product and at the same time unknown. The results also indicate that the majority of these chemical mixtures are toxic in vitro. Accordingly, 65% of the plastic extracts induced baseline toxicity and 42% an oxidative stress response, while 25% had an antiandrogenic and 6% an estrogenic activity. This implies that chemicals causing unspecific toxicity are more prevalent in plastics than such with endocrine effects. These chemicals can also leach from plastics under realistic conditions. Between 17 and 8936 chemical features were detected in a single migrate sample and all 24 tested migrates induced in vitro toxicity. This means that humans and wildlife can actually be exposed to toxic plastic chemicals under realistic conditions. Generally, each product has its individual toxicological and chemical fingerprint. Thus, neither material type, feedstock, biodegradability nor the food contact suitability of a product can serve as a predictor for the toxicity, the chemical composition or complexity of a product. Likewise, this means that bio-based and biodegradable materials are not superior to their petroleum-based counterparts from a toxicological perspective despite being promoted as sustainable alternatives to conventional plastics.
Moreover, the present thesis demonstrates that plastic chemicals can be the main driver for microplastic toxicity. Irregular microplastics made of PVC, PUR and PLA adversely affected life-history traits of D. magna in a polymer type- and endpoint-dependent manner at concentrations between 100 and 500 mg L-1 and with a higher efficiency than natural kaolin particles. While the toxicity of PVC was triggered by the chemicals used in the material, the effects of PUR and PLA were induced by the physical properties of the particle.
In addition, in the fifth study, results and observations made during this thesis were integrated inter- and transdisciplinarily with the perspectives of a social scientist and a product manufacturer. This elucidated that knowledge on plastic ingredients is often concealed, is lacking or not applicable in practice. These intransparencies hinder the safety evaluation of plastic products as well as the choice and sale of the least toxic packaging material.
Overall, the present thesis highlights that the chemical safety of plastics and their bio-based and biodegradable alternatives is currently not ensured. Thus, chemicals require more consideration in the toxicity and risk assessment of plastics and microplastics. Product-specific and complex chemical compositions, including unknown compounds, pose a challenge here. Two essential steps towards non-toxic products are to increase transparency along the product life cycle and to reduce the chemical complexity of plastics by communication and regulation. The results of the present thesis indicate that products exist which do not contain toxic chemicals. These can serve to direct the design of safer plastics. Since toxicity and chemical complexity seem to increase with processing, the integration of toxicity testing during the production steps would further support the safe and sustainable production and use of plastic products.
This thesis explores the phase diagrams of the Nambu--Jona-Lasinio (NJL) and quark-meson (QM) model in the mean-field approximation and beyond. The focus lies in the investigation of the interplay between inhomogeneous chiral condensates and two-flavor color superconductivity.
In the first part of this thesis, we study the NJL model with 2SC diquarks in the mean-field approximation and determine the dispersion relations for quasiparticle excitations for generic spatial modulations of the chiral condensate in the presence of a homogeneous 2SC-diquark condensate, provided that the dispersion relations in the absence of color superconductivity are known. We then compare two different Ansätze for the chiral order parameter, the chiral density wave (CDW) and the real-kink crystal (RKC). For both Ansätze we find for specific diquark couplings a so-called coexistence phase where both the inhomogeneous chiral condensate and the diquark condensate coexist. Increasing the diquark coupling disfavors the coexistence phase in favor of a pure diquark phase.
On the other hand, decreasing the diquark coupling favors the inhomogeneous phase over the coexistence phase.
In the second part of this thesis the functional renormalization group is employed to study the phase diagram of the quark-meson-diquark model. We observe that the region of the phase diagram found in previous studies, where the entropy density takes on unphysical negative values, vanishes when including diquark degrees of freedom. Furthermore, we perform a stability analysis of the homogeneous phase and compare the results with those of previous studies. We find that an increasing diquark coupling leads to a smaller region of instability as the 2SC phase extends to a smaller chemical potential. We also find a region where simultaneously an instability occurs and a non-vanishing diquark condensate forms, which is an indication of the existence of a coexistence phase in accordance with the results of the first part of this work.
In order to form an organ, cells need to take up specialized functions and tasks. Cellular specialization is guided by an interplay of chemical signals and physical forces, where one influences the other. One aspect in cellular identity is its shape, which e.g. defines how susceptible the cell may be to intercellular signaling or in which section of the cell cycle it is and therefore can tell us about its current state. Shape changes are introduced by motor proteins that are controlled and activated in a locally confined manner. For my thesis, I was interested to understand better how cellular shape and geometry impacts downstream cell and organ development. What happens if a cell cant transition to a specific shape? How does it affect tissue structure? How does it affect further development?
One regulator of motor proteins like non-muscle myosin is Shroom3, which recently has been been shown to be expressed and involved in the development of the zebrafish lateral line organ (1 ). Development of the lateral line occurs through a migrating cluster of initially about 150 cells, the posterior lateral line primordium (pLLP), which migrates from the anterior (head) to the posterior (tail) while depositing cell clusters in a regular pattern. Literature on development of the lateral line suggests that in order for a cell cluster to be deposited from the pLLP, rosette formation is a key requirement. Therefore our expectation from the shroom3 mutant was that the number of clusters deposited was significantly reduced. To our surprise, when we first inspected the end of migration lateral line phenotype we found many individuals with a significant increase in cell clusters deposited.
This made us re-think the role of Shroom3 during rosette assembly and the processes its involved in.
To study the effects of Shroom3 on lateral line development, a mutant line was generated and crossed with various transgenic lines which express fluorescently labeled proteins that locate to organelles such as the plasmamembrane or the nucleus. Following, the mutant with its fluorescent labels was microscopically imaged under different conditions to quantify and analyze various cell-morphometric features. Even though the zebrafish is a popular model organism and its perfectly suited for developmental biology and advanced microscopy, there were no methods that would allow for a standardized and more automated pipeline of data acquisition and processing.
Therefore, in order to accurately quantify the morphogenic processes Shroom3 is involved in, I developed a new toolset that significantly improved and facilitated my research. The toolset consists of (1) a new sample mounting method that is based on a 3D agarose gel that increases the number of embryos that can be mounted and imaged at once and speeds up the imaging process significantly (2) for subseqent image analysis I developed four programs that automate the process and therefore make the results much more reproducible and the analysis much more efficient. The first program is used for end of migration analyses, to deduce the pattern, count and size of Lateral Line cell clusters. The second is used not for end of migration, but for migration analyses (on timelapse recordings). Besides this it also prepares the images for more advanced downstream migration analyses and allows to analyse fluorescence signal on a second channel. The third program is used to analyse the pLLP only at high spatial resolution and to deduce the cell count, 3D cell morphometrics (like the volume) and cell orientation. The fourth program finally is used downstream of the second and third program and is capable of detecting and comparing them with the look of wildtype rosettes.
Here I show that in absence of Shroom3 rosette formation in the migrating pLLP is destabilized leading to facilitated cell cluster deposition and I show how this might be related to traction forces due to a possible interdependence of pLLP acceleration and speed of migration. Furthermore I show that apical constriction and rosette formation is not blocked in Shroom3 deficient embryos, but that larger rosettes are fragmented into many smaller ones. Finally, I give an outlook on how the absense of Shroom3 and hence the absense of morphological changes may deregulate gene transcription by elevating the levels Atoh1a, a transcription factor necessary for hair cell development.
My results and methodology demonstrate the importance of morphology in guiding developmental processes and how rather small morphological changes on the cellular level can impact further development significantly. My work also shows how powerful modern genetics, imaging and image analysis are and how diverse they are in terms of range of questions they are capable of answering. The methods and tools I developed prepare the ground for at least three quarters of the analyses I carried out and together with the documentation and data I provide, they are highly reproducible. In that regard I am especially happy that one of my developments, an improved sample preparation method, is already used by many different labs all over the world helping them to make their results more reproducible.
Genetic and genomic tools have provided researchers with the opportunity to address fundamental questions regarding the reintroduction of species into their historical range with greater precision than ever before. Reintroduction has been employed as a conservation method to return locally extinct species to their native range for decades. However, it remains unknown how genetic factors may impact population establishment and persistence at the population and metapopulation level in the short- and long-term. Genetic methods are capable of producing datasets from many individuals, even when only low quality DNA can be collected. These methods offer an avenue to investigate unanswered questions in reintroduction biology, which is vital to provide evidence based management strategies for future projects. The Eurasian lynx (Lynx lynx) and European wildcat (Felis silvestris) are elusive carnivores native to Eurasia and have been the subject of multiple reintroduction attempts into their native range. During the 19th and 20th century, the Eurasian lynx was extirpated from West and Central Europe due to increasing habitat fragmentation and persecution. Similarly, the European wildcat was the subject of human persecution, residing in a few refugia in West and Central Europe. After legal protection in the 1950s, subsequent reintroduction projects of both species began in the 1970s and 1980s and continue to the present. Despite this large focus on species conservation, little attention has been given to the consequences these reintroductions have on the genetic composition of the reintroduced populations and if the populations have a chance of persisting in the long term. These species have not yet benefited from the large range of genetic and genomic techniques currently available to non-model organisms, leaving many fundamental aspects of their reintroduction poorly understood. In my dissertation, I investigate demography, population structure, genetic diversity and inbreeding at the population and metapopulation level in both species. In the introduction, which lays the foundation for the subsequent chapters of this PHD, I provide background on reintroduction, its role in conservation and the genetic consequences on populations, especially populations of apex and mesocarnivores. In Publication I, I investigated the reemergence of the European wildcat in a low mountain region in Germany using fine-scale spatial analysis. I found that the reintroduced population has persisted and merged with an expanding natural population. The reintroduced population showed no genetic differentiation from the natural population suggesting there is a good chance this population has retained sufficient genetic diversity despite reintroduction. In Publication II, I tracked population development and genetic diversity over 15 years in a reintroduced lynx population to determine the genetic ramifications on a temporal scale. I found slow genetic erosion after a period of outbreeding, which fits in line with other reintroduced taxa sharing similar demographic histories. I also found the number of genetic founders to be a fraction of the total released individuals, indicating that reintroduced populations of elusive carnivores may have fewer founder individuals than previously thought. In Publication III, I sampled all surviving lynx reintroductions in West and Central Europe as well as 11 natural populations to compare levels of genetic diversity and inbreeding across the species distribution. I found that all reintroduced populations have lower genetic variability and higher inbreeding than natural populations, which urgently requires further translocations to mitigate possible negative consequences. These translocations could stem from other reintroduced populations or from surrounding natural populations. The results contribute to a growing body of evidence indicating that inbreeding is likely to be more prevalent in wild populations than previously understood. Finally, in the discussion I explore how genetic methods can be applied to post-reintroduction monitoring of felid species to illuminate questions relating to genetic composition after release. The methods employed in these studies and in future work will be highly dependent on the research questions posed. Additionally, I investigate the drivers of the observed genetic patterns including founder size, source population, environmental factors, and population growth. I found that genetic diversity loss patterns across these two felid species are not clearly defined, however, management actions can be taken to mitigate the negative effects of reintroductions. These management actions include further translocation, introducing a sufficient number of released individuals and situating reintroductions adjacent to natural populations. All of these actions can minimize genetic drift and inbreeding, two factors which negatively impact small populations. This thesis further supports mounting evidence that genetic considerations should be assessed before releasing individuals, which allows for incorporation of scientific evidence into the planning process thereby increasing the overall success of reintroduction projects. Ultimately, the resources developed during this dissertation provide a solid baseline and foundation for future work regarding the consequences of reintroductions. This is especially important as an increasing number of species are at risk of extinction and reintroductions of both the European wildcat and Eurasian lynx, as well as many others, are planned in the coming years.
My PhD work employed genetic and pharmacological manipulations, coupled with highresolution live imaging, to understand intercellular communications during zebrafish cardiovascular development. The heart is the first organ to form, and it is composed of several tissues, among which interactions are crucial. I identified two important interactions between muscular and non-muscular tissues in poorly characterized contexts, and the molecules required for the signalling. First, I discovered an important cellular and molecular crosstalk orchestrating the development of the cardiac outflow tract (i.e., the aortic root in mammals).
Endothelial-derived TGF-beta signalling controls the generation of the local extracellular matrix (ECM). The ECM in turn affects endothelial proliferation as well as smooth muscle cell organization (Boezio et al, 2020; Bensimon-Brito*, Boezio* et al, 2020). In my second project, I investigated the crosstalk between the epicardial layer and the myocardial wall. By generating epicardial-impairment models, I identified a novel role for the epicardium in regulating cardiomyocyte volume during heart development (Boezio et al, 2021). Ultimately, this research contributed to our understanding of how paracrine signalling controls the multicellular interactions integral to organogenesis.
The Compressed Baryonic Matter (CBM) Experiment will investigate heavy ion collisions and reactions at interaction rates of 100 kHz in a targeted energy range of up to 11 AGeV for systems such as gold-gold or lead-lead. It will be one of the major scientific experiments of the Facility for Antiproton and Ion Research in Europe (FAIR) currently under construction at the site of the GSI Helmholtzzentrum für Schwerionenforschung (GSI) in Darmstadt, Germany. CBM is going to be a fixed target experiment consisting of a superconducting magnet, multiple detectors of various types, and high-performance computing for online event reconstruction and selection. The detector closest to the interaction point of the experiment will be the Micro Vertex Detector (MVD). Consisting of four planar stations equipped with custom CMOS pixel sensors, it will allow to reconstruct the primary vertex with high precision and will help to reconstruct secondary vertices and identify particles originating from conversion in the detector material.
Due to the high interaction rates foreseen for CBM, understanding and minimizing systematic errors due to the detectors’ operating conditions will become all the more important to obtain significant measurement results, as statistical errors in the measurements of many observables are diminishing due to the enormous amount of data available.
Furthermore, the MVD will be the first detector based on CMOS pixel sensors used in a large physics experiment, that will be operated in vacuum. As a result, many aspects of the mechanical and electrical integration of the detector require careful testing and validation.
This thesis addresses both those challenges specifically for the Micro Vertex Detector with the development of a control system for the operation and validation of the MVD prototype “PRESTO” in vacuum. The prototype was selected as device under test as the final MVD is not yet built.
The developed control system helps a) to operate the prototype safely and keep it at the desired working point and b) to record important time-series data of the state of the detector prototype. Those two aspects allow the control system (which might later serve as a ‘blueprint’ for the final detector) to minimize the mentioned systematic errors as much as possible and to contribute to the understanding of remaining systematic errors using correlations with the time-series data. The controlled operation of the prototype in vacuum allowed to validate the integration concepts from a wide range of mechanical and electrical aspects in an endurance test for more than a year with 24/7 operation.
The prototype for this study itself was named “PRESTO” (standing for ‘PREcursor of the Second sTatiOn of the CBM-MVD’). It represents one quadrant of an MVD detector plane, equipped with a total of 15 MIMOSA-26 sensors on the front and back side of a carrier plate. Within this thesis, major parts of the prototype itself were designed. Custom ultra-thin flat flexible cables for data and power were designed and validated. Furthermore, the CNC-machined Aluminium heatsink to mount and cool the prototype design was refined to increase thermal performance. A custom vacuum feedthrough for a total of 21 flat ribbon cables was designed and fabricated. The read-out chain for MIMOSIS-26 was extended to cover a total of 8 sensors with a single and newer TRB-3 FPGA board and was set-up with the prototype. Vacuum equipment including chambers, hoses, pumps, valves and gauges were integrated to form a large vacuum testing system. A cooling circuit for the prototype was assembled comprising an external chiller, hoses, vacuum feedthroughs, as well as temperature, flow and pressure sensors.
The control system was developed to serve the needs of the prototype, while taking the requirements of the final MVD already into account. The main design goals of the control system are:
• compatibility with the other detectors and the overall CBM experiment,
• access to real-time measurements of all necessary parameters (‘process values’),
• reliable, fail-safe operation of the detector,
• recording of all time-series data (‘archiving’),
• cost efficiency and acceptance within the physics community,
• good usability for the users (‘operators’),
• long-term maintainability.
The recorded time-series data of the process variables (i.e. sensor readings) allow a post-measurement analysis of variations in the detector performance. The longterm archiving of all relevant system parameters is therefore of outstanding importance, which is why the software intended for this purpose – called “archiver” – was given special attention in this thesis.
For this reason in particular, it is necessary to implement a comprehensive control system that allows the detector to be operated safely under these conditions and cooled effectively. Before the start of this doctoral thesis, vigilant and extensively trained operators were always necessary for this. The control system that has been developed makes it possible that, after basic training, the detector can also be operated by a less specialised shift supervisor during measurement campaigns.
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The project investigates how economic paradigm shifts that occur at the beginning of the 1970s (primarily the abandonment of the gold standard and the endlessly increasing pool of capital awaiting investment that succeeded it) led to the emergence of a unique building type: the high-altitude observation deck. Part investment vehicle, part iteration of an ongoing fascination with the view from above, the project presents the observation deck as the point where three distinct paradigms intersect: observation, speculation and spectacle. Tracing the emergence of the observation deck through a series of case studies (Top of the World atop the World Trade Center (NYC), One World Observatory (NYC), The Tulip (London) the project enriches its interdisciplinary approach with archival research and fieldwork. Re-telling the complicated collaboration between architect Warren Platner and graphic designer Milton Glaser at the end of the 1960s, the project lays out how the observation deck is conceived at a time when the perceived “crisis” of New York results in a rapidly accelerating neoliberalization of urban space. An avatar of this emerging ideology the observation deck is heavily invested in making the city visually comprehensible. Incorporating a sort of neoliberalist geometry, the deck transforms the city into a product to be consumed instead of a reality to live in and thus paves the way for other ventures of what has been called the “experience economy.” Thus, it signals the ongoing shift away from an architecture that possesses any use value, towards one that, as Barthes put it with regards to Eiffel Tower, is centered only on viewing and being viewed. A speculative machine, the observation deck renders the city into a product.
The first part of this work addresses the automatic online tuning of transfer lines in particle accelerator facilities. In the second part the focus lies on the automatic construction and optimisation of such transport lines. It can be shown that genetic algorithms can be used very well for optimisation in both cases. Automatic online tuning can be performed very efficiently at accelerators under certain boundary conditions and is particularly well suited for initial beam commissioning with low intensity pilot beams. The construction of transfer lines can also be formulated and solved as an minimisation problem with an adopted parameterisation. Thereby, both the imaging properties of the beam transport and the robustness against error studies can be optimised at the same time.
The oleochemical and petrochemical industries provide diverse chemicals used in personal care products, food and pharmaceutical industries or as fuels, oils, polymers and others. However, fossil resources are dwindling and concerns about these conventional production methods have risen due to their strong negative impact on the environment and contribution to climate change.
Therefore, alternative, sustainable and environmentally friendly production methods for oleochemical compounds such as fatty acids, fatty alcohols, hydroxy fatty acids and dicarboxylic acids are desired. The biotechnological production by engineered microorganism could fulfill these requirements. The concept of metabolic engineering, which is the modification of metabolic pathways of a host organism for increased production of a target compound, is a widely used strategy in biotechnology to generate cell factories or chassis strains for robust, efficient and high production. In this work, the versatile model and industrial yeast Saccharomyces cerevisiae was manipulated by metabolic engineering strategies for increased production of the medium-chain fatty acid octanoic acid and de novo production the derived 8-hydroxyoctanoic acid.
Octanoic acid production was enabled by the fatty acid biosynthesis pathway by use of a mutated fatty acid synthase (FASRK) in a wild type FAS deficient strain. The yeast fatty acid synthase (FAS) consists of two polypeptides, α and β, which assemble to a α6β6 complex in a co-translational manner by interaction of the subunits. Because this step might be subject to cellular regulation, the α- and β- subunits of fatty acid synthase were fused to form a single-chain construct (fusFASRK), which displayed superior octanoic acid production compared with split FASRK. Thus, FASRK expression was identified as a limiting step of octanoic acid production. But the strains that produce octanoic acid have a severe growth defect that is undesirable for biotechnological applications and could lead to lower production titers. One reason is the strong
inhibitory effect of octanoic acid. Another possibility is that the mutant FAS no longer produces enough essential long-chain fatty acids. To compensate for this, the mutated split and fused FAS variants were co-expressed individually in a strain harboring genomic wild type FAS alleles. In
addition, mutant and wild type variants of fused and split FAS were co-expressed together in a FAS deficient strain. However, both cases resulted in decreased octanoic acid titers potentially by physical and/or metabolic crosstalk of the FAS variants.
The fatty acid biosynthesis relies on cytosolic acetyl-CoA for initiation and derived malonyl-CoA for elongation and requires NADPH for reductive power. To increase production of octanoic acid, engineering strategies for increased acetyl-CoA and NADHP supply were investigated. First, the flux through the native cytosolic acetyl-CoA and NADPH providing pyruvate dehydrogenase bypass was enhanced by overexpression of the target genes ADH2, ALD6 and ACSL461P from Salmonella enterica in combination or individually. Next, the acety-CoA forming heterologous phosphoketolase/phosphotransacetylase pathway was expressed and NADPH formation was increased by redirecting the flux of glucose-6-phosphate into the NADPH producing oxidative branch of the pentose phosphate pathway. In particular, the flux through glycolysis and pyruvate dehydrogenase bypass was reduced by downregulating the expression of the phosphoglucose isomerase PGI1 and deleting the acetaldehyde dehydrogenase ALD6. Glucose-6-phosphate was guided into the pentose phosphate pathway by overexpressing the glucose-6-phosphate dehydrogenase ZWF1. The first approach did not influence octanoic acid production but the latter increased yields in the glucose consumption phase by 65 %. However,
combining the superior fusFASRK with acetyl-CoA and NADPH supply engineering strategies did not result in additive production effects, indicating that other limitations hinder high octanoic acid accumulation. Limitations could be caused in particular by the strong inhibitory effects of octanoic acid or by intrinsic limitations of the FASRK mutant. To enlarge the octanoic acid production platform towards other derived valuable oleochemical compounds the de novo production of 8-hydroxyoctanoic acid was targeted. Since short- and medium-chain fatty acids have a strong inhibitory effect on Saccharomyces cerevisiae, the inhibitory effect of hydroxy fatty acid and dicarboxylic with eight or ten carbon atoms were compared and revealed only little or no growth impairment. Subsequently, the formation of 8-hydroxyoctanoic acid was targeted by a terminal hydroxylation of externally supplied octanoic acid in a bioconversion. For that, three heterologous genes, encoding for cytochromes P450 enzymes and their cognate cytochrome P450 reductases were expressed and 8-hydroxyoctanoic acid production was compared. In addition, the use of different carbon sources was compared.
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Cellular communication is a concept that can be explained as the transfer of signals or material (such as cytokines, ions, small molecules) between cells from the same or different type, across either short or long distances. Once this signal or material is received, it will, as a rule, promote a functional effect. Several routes, involved in this transfer, are well described and are of global importance for organ/tissue communication in an organism.
The brain interacts dynamically with the immune system, and the main route known to mediate this communication, is via the release of cytokines (by peripheral blood cells), which can then activate certain brain cell types, such as microglia, directly, or activate the vagus nerve transferring signals to neuronal populations in the brain. The communication between these two systems plays a key role in the pathophysiology of neurodegenerative diseases, and the mechanisms involved in this interaction are of central importance for understanding disease initiation and progression and search for therapeutic models.
The Momma lab previously addressed the mechanisms of interaction between the peripheral immune system and the brain by investigating cellular fusion of haematopoietic cells with neurons after inflammation. They addressed the question of whether this phenomenon also occurs under non-invasive conditions. To approach this problem, a genetic tracing model that relies on the Cre-Lox recombination system was used. Transgenic mice expressing Cre recombinase specifically in the haematopoietic lineage were crossed into a Cre-reporter background, thus all haematopoietic cells irreversibly express the reporter marker-gene EYFP. Using this model, EYFP was detected in non-haematopoietic tissues, suggesting the existence of a communication mechanism never described before. As cells containing two nuclei were never detected, fusion as a mechanism was excluded, suggesting that Cre reaches non-haematopoietic cells via a different signalling pathway. The Momma lab investigated whether the transfer of material through extracellular vesicles (EVs) could be behind this periphery-to-brain communication. Using the genetic mouse model, they were able to trace the transfer of Cre RNA via EVs between cells in vivo, generating the first in vivo evidence of functional RNA transfer by EVs between blood and brain.
The last decade has witnessed a rapid expansion of the field of EVs. Initially considered as waste disposal material, recent evidence has challenged this view. EVs are currently considered as a widespread intercellular communication system that can transport and transfer all types of biomolecules, from nucleic acids to lipids and proteins. However, several important questions are still under investigation. One of them is whether EVs are involved in brain pathophysiology, as inflammation plays an important role in onset and progression of neurodegenerative diseases and is well described in Parkinson Disease (PD). Based on preliminary data in a mouse, peripherally injected with a low dose of Lipopolysaccharide (LPS, an endotoxin found in the outer-membrane of Gram-negative bacteria, which causes an immune response), neurons and other cell population in the brain take up EVs from the periphery. Particularly, dopaminergic neurons from Substantia Nigra and Ventral Tegmental Area have been shown to receive functional RNA, transported through EVs, which can lead up to 20% of recombination. Furthermore, different neuronal populations from Hippocampus, Cortex and Cerebellum exhibit recombination, indicating a widespread signalling from blood to the brain. Therefore, the goal of my PhD thesis was to investigate the mechanisms of this transfer and the triggers that lead to EV uptake by neural cells in vivo both in pathological and physiological conditions.
In this project, the extent and function of EV-mediated signalling from blood to brain is explored in the context of peripheral inflammation and neurodegenerative diseases. Firstly, EVs isolated from WT mice were further characterized using size-exclusion chromatography (SEC), Western Blot (WB) and electron microscopy in order to extend the knowledge from previous work done in the Momma lab. Secondly, to expand on the biological relevance of the fact that inflammation is correlated with an increase in EV uptake, different approaches using the genetic murine tracing model were used. Recombination events from haematopoietic cells to the brain have been followed after peripheral injection of LPS. Peripheral inflammation caused by LPS injection led to widespread recombination events in the brain, specifically in microglia and neurons, including dopaminergic (DA) neurons. In contrast, astrocytes, oligodendrocytes and endothelial cells were never or very rarely recombined. Additionally, peripheral LPS injection in a murine model, where Cre is expressed only in erythrocytes, led to recombination events only in microglia, suggesting that the type of EV-secreting cell plays a role in the targeting of EVs to a specific cell population.
Hydro-climatic causes of widespread floods in central Europe : on rain-on-snow and Vb-cyclone events
(2021)
The presented work investigates the hydro-meteorological and hydro-climatological drivers of widespread floods in Central Europe during the past century. Due to the strong seasonality of the detected flood drivers, the thesis is divided into two parts: the first part focuses on widespread winter floods and the second one on extreme summer floods. For analysing past flood events, we profited from the dynamically downscaled centennial ERA-20C reanalysis (continuously from 1901—2010). The downscaling was performed over Europe with a coupled regional atmosphere-ocean model (COSMO-CLM+NEMO) to represent the water cycle more realistic. These high resolution atmospheric data allowed us to study the four-dimensional atmospheric state during selected floods during the early decades of the 20th century for the first time with such a high temporal and spatial resolution.
During the winter half-year, the observed floods were particularly widespread. High peak discharges were recorded simultaneously in the Rhine, Elbe, and Danube catchments. Most of these trans-basin floods were compound events caused by rainfall during extensive snowmelt (i.e., rain-on-snow events). Interestingly, the winter flood time series exhibited a remarkable high flood frequency during the 1940s and 1980s, while other decades were flood-poor. We detected a synchronization of the inter-annual flood frequency with the superposition of the North Atlantic Oscillation (NAO) and the Scandinavian pattern (SCA). The negative NAO phase is often associated with large snowfall and cyclone tracks over southern Europe, while the negative SCA pattern correlates with total precipitation in the affected river catchments.
During the summer half-year, most extreme floods in Central Europe were caused by so-called Vb-cyclones propagating from the Mediterranean Sea north-eastward to Central Europe. So far in the literature, only a few Vb-events, which occurred during the past two decades, have been analysed. We extended the previous case studies by several past Vb-cyclone floods since 1900. We investigated the processes that intensify Vb-cyclone precipitation with Lagrangian moisture-source diagnostics and the parametric transfer entropy measure TE-linear. Overall, an enhanced and dynamically driven moisture uptake over the Mediterranean Sea was found to be characteristic for Vb-events with heavy precipitation. This is supported by high information exchange from evaporation over the western basin of the Mediterranean Sea towards heavy precipitation in the Odra catchment. The dominating moisture uptake regions during the investigated events were, however, the European continent and the North Sea. A possible cause could be the pre-moistening of non-saturated continental moisture sources upstream of the affected river catchments as indicated by significant information exchange from land surface evaporation and soil moisture content along the Vb-cyclone pathway. Besides, evaporation over the Mediterranean Sea might contribute to Vb-cyclone intensification in the early stages of their development through latent heat release. On the catchment scale, orographic rainfall and convective precipitation further enhance the flood triggering rainfall. As expected, the Vb-cyclones mainly trigger precipitation along west-east orientated mountain ranges such as the Alps or Ore mountains due to their meridional pathway. Remarkably, during summer, we detected a convective fraction of up to 90% during the afternoons of individual days and up to 23% on average (based on convective cell tracking and convection-permitting simulations of selected flood events since 1900).
The presented analyses deepened the knowledge on atmospheric and hydroclimatic drivers of widespread floods in Central Europe. This will serve as a basis for future studies on the predictability of floods induced by rain-on-snow and Vb-cyclone precipitation events in the context of a changing climate.
Terahertz (THz) technology is an emerging field that considers the radiation between microwave and far-infrared regions where the electronic and photonic technologies merge. THz generation and THz sensing technologies should fill the gap between photonics and electronics which is defined as a region where THz generation power and THz sensing capabilities are at a low technology readiness level (TRL). As one of the options for THz detection technology, field-effect transistors with integrated antennae were suggested to be used as THz detectors in the 1990s by M. Dyakonov and M. Shur from where the development of field-effect transistor-based detector began. In this work, various FET technologies are presented, such as CMOS, AlGaN/GaN, and graphene-based material systems and their further sensitivity enhancement in order to reach the performance of well-developed Schottky diode-based THz sensing technology. Here presented FET-based detectors were explored in a wide frequency range from 0.1 THz up to 5 THz in narrowband and broadband configurations.
For proper implementation of THz detectors, the well-defined characterization is of high importance. Therefore, this work overviews the characterization methods, establishes various definitions of detector parameters, and summarizes the state-of-the-art THz detectors. The electrical, optical, and cryogenic characterization techniques are also presented here, as well as the best results obtained by the development of the characterization methods, namely graphene FET stabilization, low-power THz source characterization for detector calibration, and technology development for cryogenic detection.
Following the discussion about the detector characterization, a wide range of THz applications, which were tested during the last four years of Ph.D. and conducted under the ITN CELTA project from HORIZON2020 program, are presented in this work. The studies began with spectroscopy applications and imaging and later developed towards hyperspectral imaging and even passive imaging of human body THz radiation. As various options for THz applications, single-pixel detectors as well as multi-pixel arrays are also covered in this work.
The conducted research shows that FET-based detectors can be used for spectroscopy applications or be easily adapted for the relevant frequency range. State-of-the-art detectors considered in this work reach the resonant performance below 20 pW/√Hz at 0.3 THz and 0.5 THz, as well as 404 pW/√Hz cross-sectional NEP at 4.75 THz. The broadband detectors show NEP as low as 25 pW/√Hz at around 0.6 THz for the best AlGaN/GaN design and 25 pW/√Hz around 1 THz for the best CMOS design. As one of the most promising applications, metamaterial characterization was tested using the most sensitive devices. Furthermore, one of the single-pixel devices and a multi-pixel array were tested as an engineering solution for a radio astronomy system called GREAT in a stratosphere observatory named SOFIA. The exploration of the autocorrelation technique using FET-based devices shows the opportunity to employ such detectors for direct detection of THz pulses without an interferometric measurement setup.
This work also considers imaging applications, which include near-field and far-field visualization solutions. A considerable milestone for the theory of FET technology was achieved when scanning near-field microscopy led to the visualization of plasma (or carrier density) waves in a graphene FET channel. Whereas another important milestone for the THz technology was achieved when a 3D scan of a mobile phone was performed under the far-field imaging mode. Even though the imaging was done through the phone’s plastic cover, the image displayed high accuracy and good feature recognition of the smartphone, inching the FET-based detector technology ever so close to practical security applications. In parallel, the multi-pixel array testing was carried out on 6x7 pixel arrays that have been implemented in configurable-size aperture and imaging configurations. The configurable aperture size allowed the easier detector focusing procedure and a better fit for the beam size of the incident radiation. The imaging has been tested on various THz sources and compared to the TeraSense 16x16 pixel array. The experimental results show the big advantage of the developed multi-pixel array against the used commercial technology.
Furthermore, two ultra-low-power applications have been successfully tested. The application on hyper-frequency THz imaging tested in the specially developed dual frequency comb and our detector system for 300 GHz radiation with 9 spectral lines led to outstanding imaging results on various materials. The passive imaging of human body radiation was conducted using the most sensitive broadband CMOS detector with a log-spiral antenna working in the 0.1 – 1.5 THz range and reaching the optical NEP of 42 pW/√Hz. The NETD of this device reaches 2.1 K and overcomes the performance limit of passive room-temperature imaging of the human body radiation, which was less than 10 K above the room temperature. This experiment opened a completely new field that was explored before only by the multiplier chain-based or thermal detectors.
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The main topic of the present thesis is scene flow estimation in a monocular camera system. Scene flow describes the joint representation of 3D positions and motions of the scene. A special focus is placed on approaches that combine two kinds of information, deep-learning-based single-view depth estimation and model-based multi-view geometry.
The first part addresses single-view depth estimation focussing on a method that provides single-view depth information in an advantageous form for monocular scene flow estimation methods. A convolutional neural network, called ProbDepthNet, is proposed, which provides pixel-wise well-calibrated depth distributions. The experiments show that different strategies for quantifying the measurement uncertainty provide overconfident estimates due to overfitting effects. Therefore, a novel recalibration technique is integrated as part of the ProbDepthNet, which is validated to improve the calibration of the uncertainty measures. The monocular scene flow methods presented in the subsequent parts confirm that the integration of single-view depth information results in the best performance if the neural network provides depth distributions instead of single depth values and contains a recalibration.
Three methods for monocular scene flow estimation are presented, each one designed to combine multi-view geometry-based optimization with deep learning-based single-view depth estimation such as ProbDepthNet. While the first method, SVD-MSfM, performs the motion and depth estimation as two subsequent steps, the second method, Mono-SF, jointly optimizes the motion estimates and the depth structure. Both methods are tailored to address scenes, where the objects and motions can be represented by a set of rigid bodies. Dynamic traffic scenes are one kind of scenes that essentially fulfill this characteristic. The method, Mono-Stixel, uses an even more specialized scene model for traffic scenes, called stixel world, as underlying scene representation.
The proposed methods provide new state of the art for monocular scene flow estimation with Mono-SF being the first and leading monocular method on the KITTI scene flow benchmark at the time of submission of the present thesis. The experiments validate that both kind of information, the multi-view geometric optimization and the single-view depth estimates, contribute to the monocular scene flow estimates and are necessary to achieve the new state of the art accuracy.
Clonal hematopoiesis of indeterminate potential (CHIP) is caused by recurrent somatic mutations leading to clonal blood cell expansion. However, direct evidence of the fitness of CHIP-mutated human hematopoietic stem cells (HSCs) in blood reconstitution is lacking. Because myeloablative treatment and transplantation enforce stress on HSCs, we followed 81 patients with solid tumors or lymphoid diseases undergoing autologous stem cell transplantation (ASCT) for the development of CHIP. We found a high incidence of CHIP (22%) after ASCT with a high mean variant allele frequency (VAF) of 10.7%. Most mutations were already present in the graft, albeit at lower VAFs, demonstrating a selective reconstitution advantage of mutated HSCs after ASCT. Thus, CHIP-mutated stem and progenitor cells largely gain on clone size upon ASCT-related blood reconstitution, leading to an increased future risk of CHIP-associated complications. CHIP increase with age and is also associated with atherosclerosis and inflammation. Age and inflammation are the major risk factors for heart failure, yet the association of CHIP with chronic ischemic heart failure (CHF) in humans is unknown. Therefore, we analyzed bone marrow-derived mononuclear cells from 200 patients with CHF by NGS to detect the presence of CHIP and associated such with long-term prognosis in patients with CHF. Forty-seven mutations with a VAF of at least 2% were found in 18.5% of 200 patients with CHF. The mutations most commonly occurred in the genes DNMT3A and TET2. During a median follow-up of 4.4 years, a significantly worse clinical outcome for patients with either DNMT3A or TET2 mutations compared with non-CHIP carriers was notable. Importantly, there was a significant dose-response association between VAF and clinical outcome. Our data suggest that somatic mutations in hematopoietic cells, may be significantly associated with the progression and poor prognosis of CHF.
Fatty acids in oomycetes
(2021)
The topic of this thesis is the theoretical description of the hadron gas stages in heavy-ion collisions. The overall addressed question hereby is: How does the hadronic medium evolve i.e. what are the relevant microscopic reaction mechanisms and the properties of the involved degrees of freedom? The main goal is to address this question specifically for hadronic multi-particle interactions. For this goal, the hadronic transport approach SMASH is extended with stochastic rates, which allow to include detailed balance fulfilling multi-particle reactions in the approach. Three types of reactions are newly-accounted for: 3-to-1, 3-to-2 and 5-to-2 reactions. After extensive verifications of the stochastic rates approach, they are used to study the effect of multi-particle interactions, particularly in afterburner calculations.
These studies follow complementary results for the dilepton and strangeness production with only binary reactions, which show that hadronic transport approaches are capable of describing observables when employed for the entire evolution of low-energy heavy-ion collisions. This is illustrated by the agreement of dilepton and strangeness production for smaller systems with SMASH calculations. It is, in particular, possible to match the measured strangeness production of phi and Xi hadrons via additional heavy nucleon resonance decay channels. For larger systems or higher energies, hadronic transport cascade calculations with vacuum resonance properties can point to medium effects. This is demonstrated extensively for the dilepton emission in comparisons to the full set of HADES dielectron data. The dilepton invariant mass spectra are sensitive to a medium modification of the vector meson spectral function for large collision systems already at low beam energies. The sensitivity to medium modifications is mapped out in detail by comparisons to a coarse-graining approach, which employs medium-modified spectral functions and is based on the same evolution.
The theoretical foundation of stochastic rates are collision probabilities derived from the Boltzmann equation's collision term with the assumption of a constant matrix element. This derivation is presented in a comprehensive and pedagogical fashion. The derived collision probabilities are employed for a stochastic collision criterion and various detailed-balance fulfilling multi-particle reactions: the mesonic Dalitz decay back-reaction (3-to-1), the deuteron catalysis (3-to-2) and the proton-antiproton annihilation back-reaction (5-to-2). The introduced stochastic rates approach is extensively verified by studies of the numerical stability and comparisons to previous results and analytic expectations. The stochastic rates results agree perfectly with the respective analytic results.
Physically, multi-particle reactions are demonstrated to be significant for different observables, most notably the yield of the partaking particles, even in the late dilute stage of heavy-ion reactions. They lead to a faster equilibration of the system than equivalent binary multi-step treatments. The difference in equilibration consequently influences the yield in afterburner calculations. Interestingly, the interpretation of results is not dependent on employing multi-particle or multi-step treatments, which a posteriori validates the latter.
As the first test case of multi-particle reactions in heavy-ion reactions, the mesonic 3-to-1 Dalitz decay is found to be dominated by the omega Dalitz decay back-reaction. While the effect on the medium is found to be negligible overall, the regeneration is found to be sizable: up to a quarter of Dalitz decays are regenerated.
Non-equilibrium rescattering effects are shown to be relevant for late collision stages for two particle species: deuteron and protons. In both cases, the relevant rescatterings involve multiple particles.
The deuteron pion and nucleon catalysis reactions equilibrate quickly in the afterburner stage at intermediate energies. The constant formation and destruction keeps the yield constant and microscopically explains the "snowballs in hell"-paradox. The yield is also generated with no d present at early times, which explains why coalescence models can also match the multiplicity.
New is the study of the 5-body back-reaction of proton-antiproton annihilations. This work marks the first realization of microscopic 5-body reactions in a transport approach to fulfill detailed balance for such reactions. A sizable regeneration due to the back-reaction of up to half of the proton-antiproton pairs lost due to annihilations is found. Consequently, both annihilation and regeneration in the late non-equilibrium stage are shown to have a significant effect on the p yield.
Global biodiversity is changing rapidly and contemporary climate change is an important driver of this change. As climate change continues, the challenge is to understand how it may affect the future of biodiversity. This is relevant to informing policy and conservation, but it requires reliable future projections of biodiversity. Biodiversity is the variety of life on Earth which includes the diversity of species. The species on Earth are linked in diverse networks of biotic interactions. Interacting species can respond differently to climate change. This can cause spatial or temporal mismatches between interacting species and result in secondary extinctions of species that lose obligate interaction partners. Yet, accounting for biotic interactions in biodiversity projections remains challenging. One way to address this challenge is the use of trait-based approaches because the impact of climate change on interacting species is influenced by species’ functional traits, i.e., measurable characteristics of the species that influence their abiotic and biotic interactions. First, species’ functional traits influence how species respond to climate change. Second, they influence whether the species find compatible interaction partners in reshuffled species assemblages under climate change. Thus, the overarching aim of this dissertation was to explore how trait-based approaches can increase our understanding of how climate change might affect interacting species. For this, I focussed on interactions between fleshy-fruited plants and avian frugivores along a tropical elevational gradient.
I investigated three principal research questions. First, I investigated how traits related to the sensitivity of avian frugivores to climate change and their adaptive capacity vary along elevation and covary across species. I combined estimates of species’ climatic niche breadth (approximating species’ sensitivity) with traits influencing species’ dispersal ability, dietary niche breadth and habitat niche breadth (aspects of species’ adaptive capacity). Species’ climatic niche breadth increased with increasing elevation, while their dispersal ability and dietary niche breadth decreased with increasing elevation. Across species, there was no significant relationship of the sensitivity of the avian frugivores to climate change and their adaptive capacity. The opposing patterns of species’ sensitivity to climate change and their adaptive capacity along elevation imply that species from assemblages at different elevations may respond differently to climate change. The independence between species’ sensitivity and adaptive capacity suggests that it is important to account for both sensitivity and adaptive capacity to fully understand how climate change might affect biodiversity.
Second, I assessed how climate change might influence the co-occurrence of interaction partners with compatible traits, i.e., the functional correspondence of interacting species. I integrated future projections of species’ elevational ranges considering different vertical dispersal scenarios with analyses of the functional diversity of interacting species assemblages. The functional correspondence of fleshy-fruited plants and avian frugivores was lowest if plant and bird species were projected to contract their ranges towards higher elevations in response to increasing temperatures. Contrastingly, if species were projected to expand their ranges upslope, the functional correspondence remained close. The low functional correspondence under a scenario of range contraction indicates that plant species with specific traits might miss compatible interaction partners in future assemblages. This could negatively affect their seed dispersal ability. These results suggest that ensuring the integrity of biotic interactions under climate change requires that species can shift their ranges upslope unlimitedly.
Third, I examined whether avian seed dispersal is sufficient for plants to track future temperature change along the elevational gradient. With a trait-based modelling approach, I simulated seed-dispersal distances avian frugivores can provide to fleshy-fruited woody plant species and quantified the number of long-distance dispersal events the plant species would require to fully track projected temperature shifts along elevation. Most plant species were projected to require several long-distance dispersal events to fully track the projected temperature shifts in time. However, the number of required long-distance dispersal events varied with the degree of trait matching and plant species’ traits. These findings suggest that avian seed dispersal is insufficient for plants to track future temperature change along the elevational gradient as woody plant species might not be able to undergo several consecutive long-distance dispersal events within a short time window, due to their long maturation times. These results also imply that the ability of bird-dispersed plant species to track climate change is associated with the specialization of the seed dispersal system and with plant species’ traits.
Trait-based approaches are promising tools to study impacts of climate change on interacting species. The trait-based approaches that I have developed in this thesis are applicable more widely, e.g., to other types of biotic interactions, or to assess the effects of other drivers of global change. Moreover, these approaches may be further developed to model changes in biotic interactions under global change more dynamically. Taken together, I have shown how a trait-based perspective could help to account for biotic interactions in biodiversity projections. The development of such approaches and the gained knowledge are urgently needed to facilitate the conservation of biodiversity in a rapidly changing world.
Get3 in Arabidopsis
(2021)
Der guided entry of tail-anchored proteins (GET) Biogenese-Weg vermittelt den Transport und die Insertion von tail-anchor (TA) Proteinen in die Doppellipidschicht des Endoplasmatischen Retikulums (ER). TA Proteine sind dadurch gekennzeichnet, dass sie eine Transmembran Domäne (TMD) in den letzten 50 Aminosäuren ihrer Sequenz beherbergen. Diese TMD enthält die notwendigen Informationen, mit denen die Proteine an ihren jeweiligen subzellulären Zielort transportiert werden können. TA Proteine erfüllen eine Vielzahl von essentiellen biologischen Prozessen, sie fungieren zum Beispiel als Rezeptoren, sind maßgeblich an der Fusion von Vesikeln beteiligt sowie an der Initiation von Apoptose. Durch ihren modularen Aufbau können TA Proteine nicht mit dem Signalerkennungspartikel interagieren und müssen deshalb posttranslational zum ER geleitet werden. Im Modellorganismus Bäckerhefe (Saccharomyces cerevisiae) ist der GET Biogenese-Weg am besten beschrieben und läuft wie folgt ab: Nach der Termination der Translation bindet das Protein SgtA das TA Protein und händigt es über den Adapter-Komplex, bestehend aus Get4 und Get5, an die zytosolische ATPase Get3 aus. Get3 ist der zentrale Zielsteuerungsfaktor des GET Biogenese-Weges. Sobald sich ein Komplex aus Zeilsteuerungsfaktor und TA Protein gebildet hat, wird dieses zur Membran des ERs überführt. Dort wird das TA Protein an den Rezeptorkomplex bestehend aus Get1 und Get2 übergeben, welcher anschließend die Insertion des TA Proteins in die Doppellipidschicht des ERs initiiert.
Get3 hat im zellulären Kontext noch eine weitere Funktion. Unter oxidativem Stress oder Energie depletierenden Bedingungen wird Get3 zu spezifischen Foci rekrutiert, an denen sich noch weitere durch Stress -induzierbare Proteine, wie z.B. die der Familie der Hitze Stress Proteine (HSPs) versammeln. Analysen haben gezeigt, dass Get3 unter den oben genannten Bedingungen, Konformationsänderungen durchläuft und dann als ATP unabhängige Holdase fungiert. Diese kann die exponierten, hydrophoben Anteile von Proteinen binden, um dadurch die Proteostasis aufrechtzuhalten.
Durch die Bedeutsamkeit der TA Proteinen ist die zentrale ATPase Get3 in allen Domänen des Lebens hochgradig konserviert. Phylogenetische Analysen ergaben, dass sich Get3 im Allgemeinen in eine „A“ Gruppe sowie eine „BC“ Gruppe aufspaltet. Im Modellorganismus Arabidopsis thaliana (Ackerschmalwand) wurden drei Orthologe zu Get3 identifiziert. Eins davon gehört zu der „A“ Gruppe und befindet sich im Zytoplasma. Die anderen zwei Orthologe befinden sich in den Organellen endo-symbiotischen Ursprungs und gehören der „BC“ Gruppe an. Untersuchungen an verschiedenen Deletionsmutanten in A. thaliana haben gezeigt, dass die Mutationen einzelner GET Komponenten zu einer signifikanten Verkürzung der Haarwurzeln führen, obwohl der restliche Habitus der Pflanze unverändert bleibt. Diesbezüglich wurde SYP123 als einziges TA Proteine identifiziert, dessen Abundanz durch die Deletion von GET Komponenten beeinflusst werden kann. Von den anderen beiden Orthologen organellären Ursprungs ist, abgesehen von ihrer Lokalisation nichts weiter bekannt
Vier Orthologe Gruppen in Pflanzen
Da bislang nicht mehr als zehn Pflanzenarten für phylogenetische Analysen herangezogen wurden, wurden in dieser Arbeit die taxonomischen Beziehungen von Get3 zu einander in 50 Spezies der Viridiplantae auf Basis der Orthologie sowie Homologie untersucht. Dies führte zur Identifizierung einer zytolischen (AtGet3a), einer plastidären (AtGet3b), einer mitochondriellen (AtGet3c) sowie einer Monokotyledone spezifischen Gruppe (SBGet3). Die Lokalisation der ersten drei Gruppen wurde in selektierten Pflanzen, sowohl homolog als auch heterolog, der unterschiedlichen Spezies mittels saGFP untersucht, und es konnte gezeigt werden, dass mehrere Get3 Orthologe mit unterschiedlichen subzellulären Lokalisationen eine unter Pflanze häufig auftretende Eigenschaft ist. Das Weitern konnte gezeigt werden, dass manche Komponenten des Präzielsteuerungskomplexes (SgtA und Get4) sowie des Rezeptorkomplexes (Get1) in fast allen der 50 untersuchten Pflanzenarten vorhanden sind. Dies weist auf eine Konservierung des gesamten GET Biogenese-Weges in Pflanzen hin.
Get3a in Arabidopsis thaliana
Da die molekulare Zusammensetzung des Präzielsteuerungskomplexes für AtGet3a in A. thaliana nicht bekannt ist, habe ich Co-Immunpräzipitationen mit Zellextrakten aus weißer Zellkultur und einen von mir selbst aufgereinigten Antikörper gegen AtGet3a durchgeführt. Nach anschließender Gelelektrophorese und einer Anfärbung mit Coomassie Brilliant Blue ließ sich ein reproduzierbares Muster aus Proteinbanden erkennen, welche ausgeschnitten und mittels LC-MS/MS analysiert wurden. Dadurch wurde ein putativer Kandidat für Get5 identifiziert sowie eine Assoziation mit Chaperonen und proteasomalen Untereinheiten.
Um die Zielsteuerungseffizienz und Topologie von ER-Membranproteinen zu analysieren habe ich (i) die rekombinante Synthese eines Modell-TA Proteins mit glykosylierbarem opsin bovine glycosylation Tag (OPG) etabliert sowie (ii) eine Methode etabliert um in isolierten Protoplasten die Richtigkeit der Insertion zu überprüfen. Mit Hilfe dieser Methoden können nun verschiedene Mutanten auf ihre Insertions-Wirksamkeit untersucht werden. Desweitern können durch Mutationsanalysen die notwendigen physikochemischen Eigenschaften für die Erkennung des Substrates ermittelt werden.
Eine weit verbreitete Methode im GET Feld ist die tail-anchor translocation (TAT). Bei dieser Methode werden isolierte mikrosomale Fraktionen des rauen ERs mit rekombinanten Komplexen bestehend aus Zielsteuerungsfaktor und TA Protein inkubiert. Durch einen rekombinanten OPG, der im Lumen des ERs post-translational modifiziert werden kann, ist die Beobachtung einer zeitabhängigen Kinetik der Glykosylierung möglich. Dieses System wurde bislang nur für Komponenten aus Säugern oder Hefen benutzt, aber noch nie mit einem System auf pflanzlicher Basis. Um dies zu verwirklichen, habe ich die rekombinante Proteinexpression soweit optimiert, dass der Großteil des synthetisierten Proteins sich im löslichen Anteil des Lysats statt in den Inclusion Bodies befand. Mittels dieser Optimierung konnte ich die Ko-Expression von Zielsteuerungsfaktor mit TA Protein als löslichen Komplex etablieren. Ergänzend zu den löslichen Komplexen habe ich eine geeignete Methode etabliert um mittels Saccharosegradienten mikrosomale Fraktionen aufzutrennen in denen AtGet3a angereichert ist. Leider müssen noch die Parameter der Reaktion optimiert werden, aber die Akquirierung alle nötigen Bestandteile ist etabliert.
Next-generation DIRC detectors, like the PANDA Barrel DIRC, with improved optical designs and better spatial and timing resolution, require correspondingly advanced reconstruction and PID methods. The investigation of the PID performance of two DIRC counters and the evaluation of the reconstruction and PID algorithms form the core of this thesis. Several reconstruction and PID approaches were developed, optimized, and tested using hadronic beam particles, experimental physics events, and Geant simulations. The near-final design of the PANDA Barrel DIRC was evaluated with a prototype in the T9 beamline at CERN in 2018. The analysis finds excellent agreement between the experimental data and the Geant simulations for all reconstruction algorithms. The best PID performance of up to $5.2 \pm 0.2$ s.d. $\pi$/K separation at 3.5 GeV/c, was obtained with a time imaging PID method. The PANDA Barrel DIRC simulation, as well as the reconstruction and PID algorithms, were evaluated using experimental data from the GlueX DIRC as part of the FAIR Phase-0 program. The performance validation was carried out using physics events of the GlueX experiment and simulations. The initial analysis results of the commissioning dataset show a $\pi$/K separation power of up to 3 s.d. at a momentum of 3.0-3.5 GeV/c, obtained using a geometric reconstruction algorithm.
The main subject of this thesis is the study of hadron and photon production in relativistic heavy-ion collisions by means of hydrodynamics+transport approaches. Two different kinds of such hybrid approaches are employed in this work, the SMASH-vHLLE-hybrid and a MUSIC+SMASH hybrid. While the former is capable of simulating heavy-ion collisions covering a wide range of collision energies down to √s = 4.3 GeV, reproducing the correct baryon stopping powers, the latter provides a framework to consistently model photon production in the hadronic stage of high-energy heavy-ion collisions.
The SMASH-vHLLE-hybrid is a novel state-of-the-art hybrid approach whose development constitutes a major contribution to this thesis. It couples the hadronic transport SMASH to the 3+1D viscous hydrodynamics approach vHLLE. Therein, SMASH is employed to provide the fluctuating 3D initial conditions and to model the late hadronic rescattering stage, and vHLLE for the fluid dynamical evolution of the hot and dense fireball. The initial conditions are provided on a hypersurface of constant proper time, and the macroscopic evolution of the fireball is carried out down to an energy density of ecrit = 0.5 GeV/fm3, where particlization occurs. Consistency at the interfaces is verified in view of global, on-average quantum number conservation and the SMASH-vHLLE-hybrid is validated by comparison to SMASH+CLVisc as well as UrQMD+vHLLE hybrid approaches. The establishment of the SMASH-vHLLE-hybrid to theoretically describe heavy-ion collisions at intermediate and high collision energies forms a basis for a range of extensions and future research projects. It is further made available to the heavy-ion community by virtue of being published on Github.
The SMASH-vHLLE-hybrid is applied to simulate Au+Au/Pb+Pb collisions between √s = 4.3 GeV and √s = 200.0 GeV. A good agreement with the experimentally measured rapidity and transverse mass spectra is obtained. In particular the baryon stopping dynamics are well reproduced at low, intermediate, and high collision energies. Excitation functions for the mid-rapidity yield and mean transverse momentum of pions, protons and kaons are demonstrated to agree well with their experimentally measured counterpart. These results further validate the approach and provide a solid baseline for potential future studies. The importance of annihilations and regenerations of protons and anti-protons is additionally investigated in Au+Au/Pb+Pb collisions between √s = 17.3 GeV and √s = 5.02 TeV with the SMASH-vHLLE-hybrid. It is found that, regarding the p + p ̄ ↔ 5 π reaction, 20-50% (depending on the rapidity range) of the (anti-)proton yield lost to annihila- tions in the hadronic rescattering stage is restored owing to the back reaction. The back reaction thus constitutes a non-negligible contribution to the final (anti-)proton yield and should not be neglected when modelling the late rescattering stage of heavy-ion collisions.
The MUSIC+SMASH hybrid is a hybrid approach ideally suited to model the production of photons in relativistic heavy-ion collisions. Therein, the macroscopic production of photons in the hadronic stage in MUSIC relies on the identical effective field theories as the photon cross sections implemented in SMASH for the microscopic production. The MUSIC+SMASH hybrid thus provides the first consistent framework to the end of hadronic photon production. It accounts for 2 → 2 scattering processes of the kind π + ρ → π + γ and pion bremsstrahlung processes π + π → π + π + γ. The MUSIC+SMASH hybrid is employed in an ideal 2D setup to systematically assess the importance of non-equliibrium dynamics in the hadronic rescattering stage on mid-rapidity transverse momentum spectra and elliptic flow of photons at RHIC/LHC energies. This is achieved by comparing the outcome of the MUSIC+SMASH hybrid, involving an out-of-equilibrium late rescattering stage, to macroscopically approximating late stage photon production by means of MUSIC, employed down to temperatures well below the switching temperature. It is found that non-equilibrium dynamics have only minor implications for photon transverse momentum spectra, but significantly enhance the photon elliptic flow. At RHIC energies, an enhancement of up to 70%, and at LHC of up to 65% is observed in the non-equilibrium afterburner as compared to its hydrodynamical counterpart. In combination with the large amount of photons produced above the particlization temperature, these differences are modest regarding the transverse momentum spectra, but a significant enhancement of the elliptic flow is observed at low transverse momenta. Below pT ≈ 1.4 GeV, the combined v2 is enhanced by up to 30% at RHIC, and up to 20% at the LHC within the non-equilibrium setup as compared to its approximation via hydrodynamics. Non-equilibrium dynamics in the hadronic rescattering stage are hence important, especially in view of momentum anisotropies at low transverse momenta. These findings thus contribute to the understanding of low-pT photons produced in heavy-ion collisions at RHIC/LHC energies and the MUSIC+SMASH hybrid employed for this study provides a baseline for additional studies regarding photon production in the future.
To summarize, the approaches and frameworks presented in this thesis provide a good baseline for further extensions and studies in order to improve the understanding of hadron and photon production in relativistic heavy-ion collisions across a wide range of collision energies. More broadly, such future studies of hadrons and photons may contribute to enhance the understandig of the properties of the fundamental building blocks of matter, of which everything that surrounds us is made of.
In haploidentical stem cell transplantation (SCT), achieving a balance between graft versus host disease (GvHD), graft versus leukemia effect (GvL) and bridging the vulnerable phase of aplasia against viral infections is still a challenge. Graft preparation strategies attempt to achieve this balance by removing and retaining harmful and helpful cells. At this point it is known that T cell subpopulations hold different properties concerning GvHD promotion and immunocompetence towards pathogens. CD45RA+ naïve T cells show the greatest, while CD45RO+ memory T cells show less alloreactive potential but provide immunocompetence. CD45RA depletion is a promising new approach to graft processing that potentially combines GvHD prevention, GvL promotion and transfer of immunological competence by removing potentially harmful CD45RA+ naïve T cells and retaining CD45RO+ memory cells. This work focused on manufacturing CD45RA-depleted grafts within a one- or two-step approach, as well as a feasibility assessment of the process and the establishment of a 10-color fluorescence activated cell sorting (FACS) measurement panel for clinical-scale graft generation. CD45RA depletions were conducted from granulocyte-colony stimulated factor (G-CSF) mobilized peripheral blood stem cells (PBSC) applying two different strategies, direct depletion of CD45RA+ cells (one-step approach), or depletion following preceding CD34 selection. A 10-color FACS measurement panel was established ensuring quality control and enabling preliminary data acquisition on CD45RA co-expression for cell loss estimations. Residual virus-specific T cells after depletion were measured using MHC multimers. It was observed that the depletion antibody occupied the cell binding sites, resulting in insufficient binding of the fluorescent dye for subsequent FACS measurement. Therefore, three FACS antibodies were tested and compared, and CD45RA-PE (clone:2H4) was found to be the best choice for reliable cell detection. To further characterize residual T cells, two homing markers, CD62L and CCR7, were compared, with particular attention paid to the expression of the surface markers after cooling. Both markers were complementary to each other, resulting in the decision to include an additional FACS measuring tube whenever samples are cooled or further T cell characterization is needed. With a median log depletion of -3.9 (one-step) and -3.8 (two-step) data showed equally efficient removal of CD45RA+CD3+ T cells for both approaches. Close to complete B cell removal was obtained without additional reagent use. However, also close to complete NK cell loss occurred due to high CD45RA co-expression. Stem cells recovered at a median of 52% (range: 49.7 - 67.2%) after one-step CD45RA depletion. CD45RO+ memory T cells recovery was statistically not differing between both approaches. Virus-specific T cells were detectable after depletion, suggesting that virus-specific immunocompetence is transferable. In conclusion, CD45RA depletions are equally feasible for both approaches when performed from fresh, non-cryopreserved starting products, show reliable reduction of CD45RA and B cells, but also result in co-depletion of NK cells. Stem cell recovery and NK cell losses must be considered carefully especially regarding overcoming HLA barriers, pathogen protection during aplasia, early engraftment an GvL. Therefore, a combination of CD45RA-depleted products with already established other processing methods to ensure sufficient stem and NK cells is desirable to allow high clinical flexibility.
Sympathetic influences on articular cartilage regeneration capacity and osteoarthritis manifestation
(2021)
The pathogenesis of osteoarthritis (OA) involves articular cartilage, synovial tissue and subchondral bone and is therefore a disease of the whole joint. OA is characterized by progressive degradation of cartilage, synovial inflammation, osteophyte formation and subchondral bone sclerosis. Cartilage-surrounding tissues are innervated by tyrosine hydroxylase (TH)-positive sympathetic nerve fibers with the most important sympathetic neurotransmitter norepinephrine (NE) detected in the synovial fluid of OA patients. Furthermore, adrenergic receptors are expressed in different knee joint tissues. Most in vitro studies indicate a potential role of the β2-adrenergic receptor, which has been not investigated during OA pathogenesis in vivo. The role of the sympathetic nervous system (SNS) in OA progression has not yet been studied. Therefore, the objective of this study was to analyze how the SNS and NE influence the MSC dependent cartilage regeneration in vitro and the OA pathogenesis and manifestation in vivo.
In the first part of this study, the effect of NE on the chondrogenesis of sASC, which are known to play an important role in cartilage regeneration was analyzed in vitro. In the second part of this study, the role of the SNS was studied in vivo in mice that were sympathectomized chemically followed by surgically induced OA. The specific focus was on the β2-adrenergic receptor effects on OA pathogenesis, which were analyzed in β2-adrenergic receptor-deficient mice.
The in vitro experiments have shown that NE reduced the chondrogenic potential of sASCs by decreasing the expression of type II collagen and sGAG. NE mediated these effects mainly by the α2-AR signalling. Furthermore, NE treatment led to activation of the ERK1/2 signal pathway. These findings suggested that the sympathetic neurotransmitter NE might suppress the chondrogenic capacity of MSC and their dependent cartilage regeneration and may also play a role in OA progression and manifestation.
The in vivo study has shown that sympathectomy reduced synovial TH-positive nerve fibers in the synovium and the NE concentration in the spleen significantly. In WT mice, DMM leads to increased NE concentrations in the spleen compared to sham mice indicating an increased SNS activity after mechanical stress or inflammation due to DMM. Sympathectomy leads to less pronounced cartilage degeneration (OARSI score) after DMM compared to DMM in WT mice. Furthermore, the release of the type II collagen degradation fragment CTX-II was abolished in Syx DMM mice compared to WT DMM mice, suggesting that less SNS activity due to sympathectomy reduced the cartilage degeneration during OA pathogenesis. Similarly, sympathectomy decreased the synovitis score significantly after DMM compared to DMM in
WT mice. Synovitis in WT mice was accompanied by increased MMP-13 expression in the synovium after DMM, compared to Syx mice. Cartilage degeneration seemed to be driven mainly by the increased synovial inflammation accompanied by an increased MMP13 expression in synoviocytes and not in chondrocytes. The pathological changes in synovium and cartilage might also be linked to each other, as indicated by the moderate correlation between the synovial inflammation (synovitis score) and cartilage degeneration (OARSI score). Subchondral bone volume as well the thickness of the subchondral bone plate (SCBP) and calcified cartilage (CC) were increased in Syx mice compared to WT after DMM. The data on DMM induction in β2-AR deficient mice revealed that the β2-AR signaling is involved in cartilage degeneration and the aggravated subchondral bone changes as these mice had less pronounced cartilage degeneration compared to WT mice. While the cartilage degeneration was similar, the subchondral bone changes were more pronounced in β2-AR deficient mice compared to the Syx mice.
Overall, the SNS had differential effects in cartilage, synovium and subchondral bone. A reduced SNS activity by sympathectomy attenuated cartilage degeneration and synovitis but aggravated the OA specific subchondral bone changes. These findings provide new insights into the development of novel therapeutic strategies for OA by targeting the SNS in a tissue- specific manner.
Bohmian mechanics as formulated originally in 1952, has been useful in the implementation of numerical methods applied to quantum mechanics. The scientific community though has had ever since a critical thought about it. Therefore, there are still points to be clarified and rectified. The two main problems are basically: Bohmian mechanics gives a privilege role to the position representation. Secondly, the current interpretation of Bohmian trajectories has been recently proven wrong.
In this context, in Chapter 2, new complex Bohmian quantities are defined; so that they allow the capacity to formulate Bohmian mechanics in any arbitrary continuous representation, for instance, the momentum representation. This Chapter is fully based on two articles, regarding the proposed complex Bohmian formulation and its extension into momentum space.
Chapter 3 deals with a redefinition and reinterpretation of the Bohmian trajectories from the handling of the continuity equation, this is done without any need of additional postulates or interpretations. Also, it is proved that Bohmian mechanics is actually more than a projective aspect of the Wigner function.
As a third point, Chapter 4 presents a sytematic treatment of the hydrodynamic scheme of Bohmian mechanics. Then, a brief summary of the transport equations in Bohmian mechanics is done. Next, a unified hydrodynamic treatment is found for the Bohmian mechanics. This treatment is useful to sketch, a Bohmian treatment to efficiently find the steady value of the transmission integral.
In Chapter 5 conclusions of this thesis are drawn.
The central dogma of biology is based on the concatenated transfer of information from DNA, via transcribed mRNA, to the translated protein. In eukaryotes, transcription and translation are separated locally as well as temporally by cellular compartmentalization. Prior to active export factor-dependent transport from the nucleus to the cytosol, the newly formed pre-mRNA must mature. This involves 5'capping, splicing, and endonucleolytic cleavage and polyadenylation (CPA).
Transcription of a new pre-mRNA is terminated by hydrolytic cleavage in the 3'-UTR, and the newly formed 3'-end is protected from premature degradation by synthesis of a poly(A) tail. These processes are catalyzed by four multi-protein complexes (CFIm, CFIIm, CPSF, and CsTF) and poly(A) polymerase (PAP). CPA is sequence-specific and dependent on RNA-binding proteins (RBPs). APA-specific sequences include the poly(A) motif ('AAUAAA' and certain motif variants), the UGUA motif, and U/GU-rich sequences upstream and downstream of the poly(A) signal, respectively. About 70% of mammalian genes have more than one polyadenylation site (PAS) and express transcripts of different lengths by a mechanism called alternative polyadenylation (APA). This can affect the length of the 3'UTR (3'UTR-APA) or the coding sequence of the transcript (CDS-APA) if the alternative PAS is upstream of the STOP codon. The length of the 3'UTR affects the stability, export efficiency, subcellular localization, translation rate, and local translation of the nascent transcript. 3'UTR-APA is regulated in the interplay of the cis-elements (poly(A) motif, UGUA and U/GU) and trans-elements (expression of CPA factors). In this context, the functions of the individual cis and trans elements have been extensively studied, yet the regulation of alternative polyadenylation-the decision whether to use the proximal or distal PAS-is less deciphered and requires additional study.
In murine P19 cells, we were able to demonstrate for the first time a direct link between 3'UTR-APA and nuclear export of mature mRNA by the splicing factors SRSF3 and SRSF7 and decipher the mechanism. At the core here is the direct recruitment of the export factor NXF1 by SRSF3 and SRSF7 to transcripts with 3'UTRs of different lengths.
The primary goal of the thesis presented here was to decipher the function of SRSF3 and SRSF7 in the regulation of 3'UTR-APA and to determine the basic mechanism. For this purpose, various genome-wide methods, such as RNA-Seq, MACE-Seq, and iCLIP-Seq, were integrated and the findings were supported by reporter gene and mutation studies.
Initial determination of the poly(A)-tome in P19 cells by MACE-Seq yielded approximately 16,000 PAS and showed that slightly less than 50% of all genes used two or more PAS and expressed alternative 3'UTR isoforms. Further DaPARS analyses after knockdown of Srsf3 or Srsf7 confirmed that SRSF3 affected more transcripts than SRSF7 and led primarily to the expression of long 3'UTRs, whereas SRSF7 promoted the expression of short 3'UTRs. Integration of SRSF3- and SRSF7-specific iCLIP data suggested a possible competition between SRSF3 and SRSF7 at the proximal PAS (pPAS), which could thus act as a hotspot of 3'UTR regulation.
Experiments with intron-free reporter genes revealed that SRSF3- and SRSF7-dependent regulation of 3'UTR-APA is independent of splicing. With respect to SRSF7, a concentration dependence was demonstrated. Mutation experiments involving the SRSF3- and SRSF7-specific binding motifs in the 3'UTR also confirmed the hypothesis of competition between the two SR proteins.
Extensive Co-IP experiments clearly demonstrated that only SRSF7, but not SRSF3, can interact with CFIm and FIP1 (a subunit from the CPSF complex) in an RNA-independent manner. In addition, we showed that these interactions exhibited some phosphorylation dependence, such that the interaction to FIP1 arose primarily in the semi- to hypophosphorylated state of SRSF7. Whereas the interaction to CFIm was mainly detected in the hyperphosphorylated state. The differential affinity between SRSF3 and SRSF7 for polyadenylation factors could be attributed to two SRSF7-specific domains in subsequent mutation experiments: A CCHC-type Zn finger between the RRM and the RS domain, and a hydrophobic 27 amino acid long region in the middle of the RS domain. Together, this suggested that SRSF3 could block the utilization of pPAS, whereas SRSF7 could activate it by directly recruiting polyadenylation factors.
Interestingly, we showed that knockdown of Srsf3 also negatively regulates the expression of Cpsf6 (a subunit of CFIm) through alternative splicing, which subsequently leads to decreased expression of CPSF6 and of CFIm. Reduction of CFIm led to increased expression of transcripts with short 3'UTR, analogous to knockdown of Srsf3. This mirrors the results of previous studies. A direct comparison between SRSF3- and CPSF6-specific transcripts revealed that not all targets were congruent. In addition, we found preliminary evidence for CFIm-related masking of essential cis-pPAS elements by bimodal UGUA motifs at the pPAS. In summary, we present a novel mechanism of indirect 3'UTR-APA regulation through SRSF3-conditional expression of the CFIm subunit CPSF6.
...
B-cell acute lymphoblastic leukaemia (B-ALL) is characterized by the overproduction of lymphoblasts in the bone marrow (BM), and it is the most common cancer in children while being comparatively uncommon in adults. On the other hand, in chronic myeloid leukaemia (CML), 70% of cases are found in patients older than 50 years, making it uncommon in children. All CML cases and up to 3% of paediatric B- ALL (and 25% of adult B-ALL) cases are due to fusion gene BCR-ABL1, which gives rise to the cytoplasmatic, constitutively active oncoprotein, tyrosine kinase BCR-ABL1 through a reciprocal translocation between chromosomes 9 and 22. The constitutively active BCR-ABL tyrosine kinase leads to deregulation of different signal transduction pathways such as cell growth, proliferation and cell survival. The role of the bone marrow microenvironment (BMM) can mediate disease initiation (only in mice), progression, therapy resistance, and relapse, as has been increasingly recognized over the last two decades. In general, the BMM is a very complex arrangement of various cell types such as osteoblasts, osteoclasts, endothelial cells, adipocytes, mesenchymal stromal cells, macrophages and several others. In addition, the BMM is composed of multiple chemical and mechanical factors and extra cellular matrix (ECM) proteins which contribute to the BMM’s features influencing leukaemia behaviour. Considering the incidence of B-ALL and CML in children and in adults respectively, we hypothesized that the young and/or an aged BMM might also play a previously unrecognized role in the aggressiveness of B-ALL and CML. We proposed that BM, transduced with BCR-ABL1-expressing retrovirus in the murine transduction/transplantation model of B-ALL, transplanted into young versus old recipient mice would lead to a more aggressive disease in young mice, and similarly CML would be more aggressive in old recipient mice. In close recapitulation with the human incidence, induction of CML led to a significantly shorted survival in old recipient mice. On the other hand, induction of B-ALL showed a shortened survival in young compared to old syngeneic mice, as well as in a xenotransplantation model. Among the highly heterogenous composition of the BMM, we implicate young BM macrophages as a supportive niche for B-ALL cells. The results were found to be mostly due to potential soluble factors differentially secreted from young and old macrophages. Therefore, we hypothesized that the chemokine CXCL13, which has been demonstrated to play a role in B cell migration and act as a diagnostic marker in the cerebrospinal fluid of patients with neuroborreliosis, might be responsible for the observed phenotype. CXCL13 was found to be more highly expressed in healthy and leukaemic young mice as well as in conditioned medium of young macrophages. Using a variety of in vitro experiments, CXCL13 showed to significantly increase the proliferation and the migration of leukaemia cells when exposed to young macrophages, and the phenotype was rescued while using a CXCL13 neutralizing antibody. The CXCL13 role was also confirmed in vivo, since macrophage ablation led to a prolongation of survival in young mice and a reduction of CXCL13 levels. The use of an additional mouse model, leukaemia cells with CXCR5 deficiency, led to a significant prolongation of survival of young mice, confirming the importance of the CXCL13-CXCR5 axis in B-ALL. In line with our murine results, we found that human macrophages and CXCL13 levels were higher in pediatric B-ALL patients than in adults. Consistent with our murine data, the expression level of CXCR5 may act as a prognostic marker in B-ALL, as well as a predictive marker for central nervous system relapse in human B-ALL. The overall findings show that a young BMM, and in particular macrophages, influences B-ALL progression. We specifically identified CXCL13, secreted by young macrophages, as a promoter of proliferation of B-ALL cells, influencing survival in B-ALL via CXCR5. The CXCR5-CXCL13 axis may be relevant in human B-ALL, and higher CXCR5 expression in human B-ALL may act as a predictive marker.
Morbus Parkinson (abgekürzt als PD vom Englischen Parkinson’s disease) ist nach Alzheimer die zweithäufigste neurodegenerative Erkrankung. Die Hauptmerkmale sind Rigidität und Bradykinesie, sowie Tremor und posturale Instabilität. Im Gehirn lässt sich bei Parkinsonpatienten post mortem ein Verlust an Neuronen in der Substantia nigra feststellen, was zu den ersten beiden Anzeichen führt. Zudem gibt es intrazelluläre Einschlüsse in den betroffenen Nervenzellen – Lewy-Körperchen genannt – die aus Alpha-Synuklein und anderen Proteinen wie Ubiquitin zusammengesetzt sind. Außerdem ist der Eisenmetabolismus in Gehirnen von Parkinsonpatienten gestört und man findet Eisen-Ablagerungen, vor allem im Mittelhirn. Die Ursachen für PD sind bislang nicht abschließend geklärt. Der Großteil der Fälle ist sporadischer Natur mit unbekannter Ursache und nur bei einem geringen Anteil liegt eine Mutation in einem einzelnen Gen zugrunde. Die häufigsten Mutationen tritt in den Genen für Alpha-Synuklein (SNCA), PINK1 und PARKIN auf.
Die Serin-Threonin-Kinase PINK1 und die E3-Ubiquitin-Protein-Ligase PARKIN sind zwei Proteine, die in Stresssituationen an der Mitochondrien-Außenmembran am Abbau von alten oder nicht richtig funktionierenden Mitochondrien beteiligt sind. Dieser Vorgang nennt sich Mitophagie.
Die dieser Arbeit zugrunde liegenden Publikationen gehen den Zusammenhängen zwischen mitochondrialen Fehlfunktionen und der Pathogenese von PD nach. Da die Krankheit meist erst im hohen Alter auftritt, davon größtenteils ohne direkte Ursache, liegt der Schluss nahe, dass neben genetischen Ursachen auch Umweltfaktoren eine größere Rolle spielen könnten. Um dies näher zu analysieren, wurden experimentell verschiedene Stressoren eingesetzt.
Insgesamt wurden folgende Aspekte untersucht:
I. Welche Auswirkungen hat das Fehlen von PINK1 auf die Zelle? Gibt es einen Biomarker, der mit höherem Alter immer stärker verändert ist?
II. Welchen Einfluss haben Umweltfaktoren wie veränderte Eisen-Exposition auf die Zelle und was verändert sich beim Fehlen von PINK1?
III. Wie können mitochondriale Fehlfunktionen präferentiell das Nervensystem betreffen, wenn es nicht um respiratorische Insuffizienz geht?
Die einzelnen Studien zeigten folgende Ergebnisse:
Torres-Odio/Key et al. 2017 widmete sich der Suche nach molekularen Biomarkern, wodurch PD präsymptomatisch erkannt und die Progression der Erkrankung eingeschätzt werden kann. Die Transkriptom-Analyse der Kleinhirne von Mäusen mit Pink1-/--Mutation in drei verschiedenen Altersstufen zeigte eindrücklich, dass nicht ein einzelner Faktor immer stärker verändert war, sondern, dass immer mehr Faktoren und daher auch eine steigende Zahl an
Signalwegen mit höherem Alter beteiligt waren. Diese Veränderungen betrafen inflammatorische Signalwege, insbesondere Faktoren, die mit der Erkennung und Verarbeitung von zellfremden Nukleinsäuren assoziiert sind. Aufgrund der evolutionären Herkunft von Mitochondrien als frühere Protobakterien haben mitochondriale Nukleinsäuren und Proteine zum Teil bakterielle Ähnlichkeiten, und könnten bei Fehlfunktionen ins Zytosol gelangen. Vor diesem Hintergrund lassen die Ergebnisse der Studie den Schluss zu, dass das angeborene Immunsystem in Neuronen durch eine PINK1-assoziierte mitochondriale Störung aktiviert wird.
In der Publikation Key et al. 2020 wurde Eisen als ein im täglichen Leben vorkommender Stressor eingesetzt und es wurden systematisch Faktoren des Eisenstoffwechsels bei hohen und niedrigen Eisenspiegeln im Zusammenhang mit Parkinson-Mutationen untersucht. Da Eisen für die Gesundheit von Mitochondrien eine große Rolle spielt und Eisen-Chelatoren als Therapie bei PD Patienten bereits diskutiert werden, haben die molekularen Befunde große Relevanz. Die Ergebnisse zeigen, dass unter niedrigen Eisenspiegeln Proteine reduziert waren, die am Nukleotid-Stoffwechsel beteiligt sind, sowie Faktoren, die Eisen-Schwefel-Cluster als Cofaktoren haben und wichtig für die Nukleotid-Qualitätskontrolle sind. Das Fehlen von Eisen führte zu einer Induktion von Pink1 und Prkn, was auf verstärkte Mitophagie hindeutet. Insgesamt konnte gezeigt werden, dass die mitochondriale Eisen-Schwefel-Cluster Biogenese und die post-transkriptionelle Eisenregulation entscheidend für die Pathogenese von PD, bzw. das gesunde Fortbestehen einer Zelle und letztlich auch eines Organismus sind.
In Key et al. 2019 wurde erstmalig das Gesamt-Ubiquitylom aus Gehirnen von gealterten Parkin-knockout (KO) Mäusen erhoben und analysiert, um Ubiquitylierungs-Substrate von PARKIN zu identifizieren. Hierbei zeigte sich eine veränderte Ubiquitylierung von mehreren Faktoren, die an der zellulären Calcium-Homöostase beteiligt sind. Weitere elektrophysiologische Experimente in Gehirnen von gealterten Parkin-/--KO Mäusen ergaben, dass in Nervenzellen im Locus coeruleus die Geschwindigkeit der spontanen Taktgeber erhöht, dass die langsame Nachhyperpolarisation reduziert und, dass die Dauer der Aktionspotentiale erniedrigt war, ohne Veränderung der Kaliumkanal-Ströme.
Insgesamt geht aus den drei Studien hervor, dass mitochondriale Fehlfunktionen bei dauerhaftem Bestehen weitreichende Folgen für die Gesundheit des Nervensystems haben können, denn auch kleine Veränderungen, seien es durch Mutationen oder Umweltfaktoren wie Eisen, können in einer so großen Lebensspanne wie der des Menschen über Krankheit oder Gesundheit entscheiden!
Deep learning with neural networks seems to have largely replaced traditional design of computer vision systems. Automated methods to learn a plethora of parameters are now used in favor of previously practiced selection of explicit mathematical operators for a specific task. The entailed promise is that practitioners no longer need to take care of every individual step, but rather focus on gathering big amounts of data for neural network training. As a consequence, both a shift in mindset towards a focus on big datasets, as well as a wave of conceivable applications based exclusively on deep learning can be observed.
This PhD dissertation aims to uncover some of the only implicitly mentioned or overlooked deep learning aspects, highlight unmentioned assumptions, and finally introduce methods to address respective immediate weaknesses. In the author’s humble opinion, these prevalent shortcomings can be tied to the fact that the involved steps in the machine learning workflow are frequently decoupled. Success is predominantly measured based on accuracy measures designed for evaluation with static benchmark test sets. Individual machine learning workflow components are assessed in isolation with respect to available data, choice of neural network architecture, and a particular learning algorithm, rather than viewing the machine learning system as a whole in context of a particular application. Correspondingly, in this dissertation, three key challenges have been identified: 1. Choice and flexibility of a neural network architecture. 2. Identification and rejection of unseen unknown data to avoid false predictions. 3. Continual learning without forgetting of already learned information. These latter challenges have already been crucial topics in older literature, alas, seem to require a renaissance in modern deep learning literature. Initially, it may appear that they pose independent research questions, however, the thesis posits that the aspects are intertwined and require a joint perspective in machine learning based systems. In summary, the essential question is thus how to pick a suitable neural network architecture for a specific task, how to recognize which data inputs belong to this context, which ones originate from potential other tasks, and ultimately how to continuously include such identified novel data in neural network training over time without overwriting existing knowledge.
Thus, the central emphasis of this dissertation is to build on top of existing deep learning strengths, yet also acknowledge mentioned weaknesses, in an effort to establish a deeper understanding of interdependencies and synergies towards the development of unified solution mechanisms. For this purpose, the main portion of the thesis is in cumulative form. The respective publications can be grouped according to the three challenges outlined above. Correspondingly, chapter 1 is focused on choice and extendability of neural network architectures, analyzed in context of popular image classification tasks. An algorithm to automatically determine neural network layer width is introduced and is first contrasted with static architectures found in the literature. The importance of neural architecture design is then further showcased on a real-world application of defect detection in concrete bridges. Chapter 2 is comprised of the complementary ensuing questions of how to identify unknown concepts and subsequently incorporate them into continual learning. A joint central mechanism to distinguish unseen concepts from what is known in classification tasks, while enabling consecutive training without forgetting or revisiting older classes, is proposed. Once more, the role of the chosen neural network architecture is quantitatively reassessed. Finally, chapter 3 culminates in an overarching view, where developed parts are connected. Here, an extensive survey further serves the purpose to embed the gained insights in the broader literature landscape and emphasizes the importance of a common frame of thought. The ultimately presented approach thus reflects the overall thesis’ contribution to advance neural network based machine learning towards a unified solution that ties together choice of neural architecture with the ability to learn continually and the capability to automatically separate known from unknown data.
In this thesis the Quadrupole Electrical Resistivity Tomography (QERT) method is presented as a new measurement concept for profile-based geoelectric field measurements. The concept is based on a tensorial formulation of the apparent resistivity in order to make three-dimensional statements about the underground conductivity structure. For a simple application of the method a number of similarities to the classical dipole-dipole method were made, such as the presentation of the measurement data in a pseudo-section. The added value of the method compared to the classical profile-based methods is especially the differentiation of lateral structures. Anomalies, which are located laterally to the profile, can be detected with respect to their position (left-right) as well as their conductivity contrast. For the practical implementation of the concept a measuring device was developed and constructed, the CR Device. The device uses 64 channels for simultaneous signal recording of voltage and current time series with up to 1 kHz sampling rate. The current injection is freely programmable and allows any survey design. The measurement of the voltages is performed against a common reference (CR) electrode and thus allows the reconstruction of any dipole voltage by difference formation. A complementary, Matlab-based software package completes the measuring system. An evaluation module allows the raw data of the CR device to be read in, processed and displayed in a suitable form. An inversion module allows the inversion of measurement data into a three-dimensional subsurface model. With a modeling module, measurements over any subsurface situation can be simulated and subsequently analysed. A field measurement on a volcanic maar in the Eifel region, Germany, demonstrates the benefits of the method. A QERT profile was set-up tangentially to a conductive anomaly in the centre of the maar. The measurement data were successfully inverted into a geologically coherent 3D resistivity model.
Within the last thirty years, the contraction method has become an important tool for the distributional analysis of random recursive structures. While it was mainly developed to show weak convergence, the contraction approach can additionally be used to obtain bounds on the rate of convergence in an appropriate metric. Based on ideas of the contraction method, we develop a general framework to bound rates of convergence for sequences of random variables as they mainly arise in the analysis of random trees and divide-and-conquer algorithms. The rates of convergence are bounded in the Zolotarev distances. In essence, we present three different versions of convergence theorems: a general version, an improved version for normal limit laws (providing significantly better bounds in some examples with normal limits) and a third version with a relaxed independence condition. Moreover, concrete applications are given which include parameters of random trees, quantities of stochastic geometry as well as complexity measures of recursive algorithms under either a random input or some randomization within the algorithm.
Diese Arbeit ist ein detaillierter Bericht über die Forschungsaktivitäten, die ich während meiner Promotion am Max-Planck-Institut für Biophysik durchgeführt habe. Mit dem Aufkommen der direkten Elektronendetektoren erlebte die Transmissionselektronenmikroskopie von gefrorenen hydratisierten Proben (Kryo-EM) einen epochalen Wandel, die sogenannte “Auflösungsrevolution”. Ab den 2010er Jahren ermöglichte die Kommerzialisierung der ersten direkten Detektoren die Erforschung biologischer Phänomene in beispiellosem Detail und machte Kryo-EM zu einer der leistungsstärksten (und gefragtesten) Forschungsmethoden in den Biowissenschaften. Meine Forschung konzentrierte sich auf die Verwendung der Elektronen-Kryotomographie, um zwei herausfordernde Ziele zu erreichen. Das erste bestand darin, die Denaturierung von Proteinen an der Luft-Wasser-Grenzfläche zu untersuchen, und das zweite die molekulare Landschaft eines lichtempfindlichen Chloroplastenvorläufers, des Etioplasten, zu beschreiben. Um die Relevanz, Herausforderungen und Auswirkungen meiner Arbeit zu vermitteln, habe ich diese Arbeit in drei Kapitel unterteilt.
Kapitel eins enthält eine Einführung in die Transmission-Elektronenmikroskopie.
Nach einer kurzen Zusammenfassung der historischen Meilensteine in der Disziplin beschreibe ich die wesentlichen Komponenten des TEM und deren Funktionsweise. Hier lege ich besonderen Wert auf die Struktur elektromagnetischer Linsensysteme, wie sie den Weg der Elektronen beim Durchlaufen der Säule beeinflussen und wie Bilder entstehen. Der hardwarebezogene Teil der Einführung wird durch eine vereinfachte Beschreibung der Elektronendetektoren abgeschlossen, in der ich die revolutionären Aspekte der direkten Elektronendetektoren, mit der Struktur und Funktion von CCD-Detektoren (Charge Coupled Device detector) vergleiche. Als nächstes konzentriere ich mich auf die theoretischen Prinzipien der Bilderzeugung. Um die Hauptphänomene im Zusammenhang mit der Bildqualität in TEM hervorzuheben, stelle ich grundlegende Konzepte wie den Einfluss von Elektronenenergie und optischen Aberrationen vor, gefolgt von einer ausführlicheren Beschreibung des Ursprungs von Kontrast und Rauschen. Der Unterabschnitt schließt mit einigen Überlegungen darüber, wie - und vor allem wie effizient - Detektoren kontinuierliche Elektronenwellen in diskrete Bereiche (Pixel) abtasten. Der folgende Unterabschnitt ist der Erfassung und Verarbeitung tomografischer Daten gewidmet. Hier gebe ich eine vereinfachte Beschreibung, wie Kippserien mit dem Mikroskop erfasst werden und wie die Rohdaten zu einer dreidimensionalen Darstellung der Probe verarbeitet werden. Der Einfluss der Neigungsgeometrie und der Dosisverteilung auf die Rekonstruktionsqualität wird ebenfalls diskutiert. Der zweite Teil des Unterabschnitts befasst sich mit der Strukturbestimmung durch Subtomogramm-Mittelung und der Errechnung der Auflösung von Kryo-EM-Rekonstruktion. Zuletzt schließe ich das Kapitel mit einer Beschreibung der Vorbereitung biologischer Proben für die Kryo-EM-Bildgebung mit einigen abschließenden Bemerkungen zur Dynamik und den Grenzen der Vitrifizierung ab.
Kapitel zwei folgt dem Thema der Kryo-Präparation biologischer Proben mit der Untersuchung der Denaturierung von Proteinen an der Luft-Wasser-Grenzfläche.
Im Einführungsabschnitt skizziere ich die wichtigsten Aspekte dieses Phänomens. Frühe Experimente zum Verhalten von Proteinen in Lösung zeigten ihre Neigung, aus der Lösung zu ihrer Grenzfläche mit der Atmosphäre zu diffundieren. Hier bilden sie meist unlösliche Schichten denaturierter Fibrillen Es wurde vorgeschlagen, dass die Korrelation zwischen Proteindenaturierung und Kontakt mit der Grenzfläche auf einen allmählichen Entfaltungsprozess zurückzuführen ist, bei dem Tausende von Wechselwirkungen pro Sekunde zu einer immer größeren strukturellen Schädigung führen würden. Ein direkter Beweis für diesen Mechanismus wurde jedoch nie dokumentiert. Um einen tieferen Einblick in die Dynamik an der Luft-Wasser-Grenzfläche zu erhalten, sammelte ich Kryotomogramme vitrifizierter Präparate der Fettsäuresynthase (FAS, Fatty Acid Synthase) aus Hefe. Im ersten Unterabschnitt der Ergebnisse beschreibe ich, wie die biochemische und Negativkontrastierung-TEM-Analyse von FAS-Fraktionen zeigte, dass der Komplex während des gesamten Reinigungsverfahrens intakt und katalytisch aktiv blieb. Nach der Vitrifizierung ergab die Einzelpartikelanalyse jedoch, dass 90% aller Komplexe stark beschädigt waren. Die tomographische Rekonstruktion derselben Proben zeigte, dass alle FAS-Komplexe an die Luft-Wasser-Grenzfläche gebunden waren. Die Seite des Moleküls, die der Grenzfläche ausgesetzt war, schien abgeflacht zu sein, während die Seite, in der wässrigen Phase, ihre native Struktur beibehielt. Die Mittelung der Subtomogramme bestätigte, dass eine Seite von fast 90% der Partikel stark beschädigt war. Durch den Vergleich der Ausrichtung dieser beschädigten Seite mit der Position eines Rechenmodells der Luft-Wasser-Grenzfläche konnte ich nachweisen, dass sie perfekt übereinstimmen, was den ersten direkten Beweis dafür liefert, dass die Wechselwirkung mit der Luft-Wasser-Grenzfläche die lokale Denaturierung großer Proteinkomplexe herbeiführt.
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Terpenes are one of the largest and most diverse class of natural products, produced by organisms from all kingdoms of life and with important applications in the pharma, flavor and fragrance industries. Well-known examples of terpenes are the pharmaceuticals artemisinin and taxol, the flavor and fragrance compounds menthol, santalol and sclareol, the structural material polyisoprene and the biofuel precursor farnesene. The methods and results presented in this work offer a variety of ways to modify terpene precursors for the creation of new terpene molecules. The application of these methodologies in well-established production systems could lead to the production of new substances, with applications in the industrial fields of pharmaceuticals, flavors and fragrances, and biofuels.
Die Bildung von Blutgefäßen ist essentiell für die Entwicklung und Homöostase von Wirbeltieren und die Endothelzellspezifikation ist ein wichtiger erster Schritt in diesem Prozess. Das früheste bekannte Ereignis bei der Endothelzellspezifikation im Zebrafisch ist die Expression des bHLH-PAS-Transkriptionsfaktor-Gens npas4l. Ich habe eine transgene V5-Linie zum Nachweis des markierten Npas4l auf Proteinebene und eine Gal4-VP16-Reporterlinie zur Visualisierung und Verfolgung von npas4l exprimierenden Zellen in vivo generiert. Beide Linien können bereits in frühen Entwicklungsstadien nachgewiesen werden und komplementieren auch starke npas4l-Mutanten Allele. Um npas4l Reporter exprimierende Zellen in npas4l Mutanten zu verfolgen, habe ich anschließend eine mutierte Variante der Gal4-Reporterlinie erzeugt. Diese Mutante trägt eine Insertion in der Region, die die DNA-Bindedomäne kodiert. Dadurch stört sie die Npas4l-Funktion, aber nicht die Reporterexpression. Dieses mutierte Reporterallel komplementiert nicht die npas4l-Mutanten und zeigt einen starken Phänotyp, was darauf hindeutet, dass es sich um ein funktionelles Nullallel handelt. Phänotypische Analysen zeigten, dass npas4l-Reporter positive Zellen in npas4l-Mutanten nicht spezifizieren oder zur Mittelachse wandern. Stattdessen tragen sie zu den vom intermediären Mesoderm abgeleiteten pronephrischen Tubuli und dem vom paraxialen Mesoderm abgeleiteten Skelettmuskel bei. Ich habe diese Phänotypen durch Einzelzell-RNAseq an den npas4l-Reporter positiven Zellen in npas4l+/- und npas4l-/- Embryonen bestätigt. Zusammen erklären diese beiden alternativen Zellschicksale den Großteil der beobachteten Veränderungen zwischen den Genotypen. Npas4l ist dafür bekannt die Expression der drei Transkriptionsfaktorgene etsrp, tal1 und lmo2 zu fördern. Ich stellte die Hypothese auf, dass das Fehlen jedes dieser Transkriptionsfaktoren in npas4l-Mutanten verschiedene Aspekte des npas4l-Phänotyps verursacht. Daher habe ich Mutantenlinien für alle drei Gene generiert und sie sowohl in vaskulären Reporterlinien als auch im npas4l-Reporterhintergrund analysiert. Die Daten legen nahe, dass verschiedene Gene unterschiedliche Prozesse während der frühen Endothelentwicklung regulieren. In npas4l-/- und etsrp-/- Embryonen differenzieren npas4l-Reporter exprimierende Zellen nicht zu Endothelzellen und tragen stattdessen zur Skelettmuskelzellpopulation bei. In npas4l-/- und tal1-/- Embryonen können npas4l-Reporter exprimierende Zellen nicht migrieren und tragen stattdessen zu der Bildung der pronephrischen Tubuli bei. Um die Beziehung zwischen diesen Faktoren besser zu verstehen, habe ich getestet, ob die Injektion von etsrp-, tal1- oder lmo2-mRNA verschiedene Aspekte des npas4l-Phänotyps retten würde. npas4l-, etsrp- und tal1-Mutanten zeigen alle schwere vaskuläre Phänotypen. Einige Endothelzellen und vaskuläre Strukturen bleiben jedoch in jeder Mutante erhalten. Der Phänotyp ist am stärksten in npas4l-/- Embryonen, aber selbst in diesen Embryonen können einige fli1a-positive Endothelzellen in der Schwanzregion beobachtet werden. Es war unklar, ob sich diese Population von Endothelzellen unabhängig von der Npas4l-, Tal1- und Etsrp-Funktion entwickelt oder als Folge einer restlichen tal1- oder etsrp-Expression unabhängig von Npas4l. Um diese Frage zu untersuchen, habe ich Doppelmutanten generiert und nach dem Vorhandensein von fli1a-positiven Endothelzellen in diesen Mutanten gesucht. Während fli1a-positive Endothelzellen in npas4l-/- und npas4l-/-;tal1-/- Embryonen deutlich vorhanden sind, können keine solchen Zellen in npas4l-/-;etsrp-/- oder etsrp-/-;tal1-/- Embryonen beobachtet werden. Diese Daten deuten darauf hin, dass sich im Zebrafisch keine Endothelzellen entwickeln können, wenn zugleich npas4l und etsrp oder etsrp und tal1 gestört sind. Während der Verlust von etsrp zu stärkeren Defekten in npas4l-Mutanten führt, gibt es keinen zusätzlichen Phänotyp, der durch den Verlust von tal1verursacht wird, was darauf hindeutet, dass die Expression von etsrp, aber nicht die von tal1, unabhängig von Npas4l auftreten kann. Diese Idee wird durch die Beobachtung unterstützt, dass etsrp, aber nicht tal1-Expression in den meisten fli1a-exprimierenden Zellen in npas4l-/- Embryonen beobachtet wird. Dennoch wird der Großteil -Expression durch Npas4l reguliert. tal1-mRNA-Injektionen reichten aus, um eine Wildtyp-ähnliche vaskuläre Musterbildung im Bauchbereich der npas4l-/- Embryonen wiederherzustellen, einschließlich der Rettung sowohl der Zellmigration als auch der Differenzierung. Da Npas4l mehrere unterschiedliche transkriptionelle Effektoren hat, war eine so starke Rettung durch nur einen dieser Effektoren unerwartet. In den geretteten Mutanten wurde die bilaterale Population von npas4l-Reporter-positiven pronephrischen Tubuluszellen nicht entdeckt, aber die Anzahl der ektopischen npas4l-Reporter exprimierenden Muskelzellen war im Vergleich zu nicht injizierten npas4l-Mutanten gleichbleibend.
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Neurons are cells with a highly complex morphology; their dendritic arbor spans up to thousands of micrometers. This extended arbor poses a challenge for the logistics of neuronal processes: mRNA, proteins, and organelles have to be transported to dendrites, hundreds of micrometers away from the soma. This thesis aims to calculate the minimum number of proteins needed to populate the dendritic trees for different scenarios.
In chapter 2, I analyzed the ability of different mechanisms to populate the dendritic arbor. I started from the solution of the diffusion equation in Sec. 2.1, then I included the contribution of active transport in Sec. 2.2 and showed how it could have either the effect of increasing the effective diffusion coefficient or of introducing a bias in the diffusion process. In Sec. 2.3 I studied the spatial distribution of locally synthesized protein, accordingly with actively and passively transported mRNA. In Sec. 2.5, I derived the boundary condition for branches showing a qualitatively different behavior of surface and cytoplasmic proteins induced by the medium’s dimensionality in which they diffuse.
In chapter 3, I introduced the concept of protein requirement, defined as the minimum number of proteins that the neuron needs to produce to provide at least one protein to each micrometer of the dendritic arbor. In Sec. 3.1, I derived the protein requirement for diffusive proteins for somatic translation and constant translation in the dendritic arbor. In Sec. 3.2, I analyzed numerically the protein requirement in the case of actively transported protein synthesized in the soma, and, in Sec. 3.3, in the case of actively transported proteins synthesized in the dendritic arbor. In Sec. 3.4, I analyzed the protein requirement of protein synthesized in the dendrite accordingly with the distribution of mRNA described in Sec. 3.3 and 3.2. In Sec. 3.5, I derived the protein requirement for a single branch and purely diffusive proteins.
In chapter 4, I analyzed the relation between the radii of the three afferent dendrites in a branch, their length, and the diffusion length of a protein. In Sec. 4.1 I derived the optimal ratio between the radii of the daughter dendrites that minimizes the protein requirement. In Sec. 4.3 I introduced the 3/2− Rall Rule and in Sec. 4.5 its generalization. Finally, I used those rules to estimate the fraction of proteins diffusing away from and toward the soma.
In chapter 5, I analyzed the radii distribution for three categories of neurons: cultured hippocampal neurons in Sec. 5.1, stomatogastric ganglia neuron in Sec. 5.2, and 3DEM reconstructed prefrontal pyramidal neurons in Sec. 5.3. For each of these three classes, I analyzed the distribution of radii, Rall exponents, and the probability ratio. For most of them, I found that the probability of a protein diffusing away from the soma is higher for surface proteins than for cytoplasmic ones. I quantified this with a parameter called surface bias.
In Chapter 6, I analyzed the fluorescent ratio imaged by our collaborators Anne-Sophie Hafner, for a surface protein, GFP::Nlg, and a soluble one, GFP, in cultured hippocampal neurons, and I compared the fluorescent ratio with the probability ratio obtained in 5.1, finding that they are in good agreement.
In chapter 7, I compared the real dendritic morphologies imaged by one of our collaborators Ali Karimi with the optimal branching rule obtained in Sec. 4.1 and I calculated the cost for not having optimal branching radii.
Finally, in Chapter 8, I used the knowledge of the branching statistics gathered in 5.3 to simulate the protein profile on three different classes of neurons: pyramidal neurons, granule neuron, and Purkinje neurons. I compared the protein profile for surface and cytoplasmic neurons for each morphology for two different values of the diffusion length: λ = 109µm and λ = 473µm, both for optimized radii and symmetrical radii. I showed how the radii optimization reduces the protein requirement of a factor 10 4 for pyramidal neurons.
Die vorliegende Dissertation stellt die Strahldynamikdesigns zweier Hochfrequenzquadrupol-Linearbeschleuniger bzw. Radio Frequency Quadrupoles (RFQs) vor: das fur den RFQ des Protonen-Linearbeschleunigers (p-Linac) des FAIR2-Projekts an der GSI3 Darmstadt sowie einen ersten Designentwurf für einen kompakten RFQ, der u.a. zur Erzeugung von Radioisotopen für medizinische Zwecke genutzt werden könnte. Der Schwerpunkt liegt auf dem ersten Design.
Tissue translocation, multigenerational and population effects of microplastics in Daphnia magna
(2021)
The last century saw the widespread adoption of plastic materials throughout nearly every aspect of our lives. Plastics are synthetic polymers that are made up of monomer chains. The properties of the monomer in conjunction with chemical additives allow plastics to have a sheer endless variety of features and use cases. They are cheap, lightweight, and extremely durable. Plastic materials are often engineered for single-use and in conjunction with high production volumes and insufficient waste management and recycling across the globe, this leads to a large number of plastics entering the environment. Marine ecosystems are considered sinks. However, freshwater ecosystems as entry pathways are highly affected by plastic waste as well. Throughout the past decade, the impact of plastic waste on human and environmental health has received a lot of attention from the ecotoxicological community as well as the public. Small plastic fragments (< 1 mm called microplastics) are a large part of this emerging field of research. Within this, the water flea Daphnia magna is probably the most common organism that is used to assess microplastics toxicity. As a filter-feeding organism, it indiscriminately ingests particles from the water column and is thus highly susceptible to microplastics. For this thesis, we identified some gaps in the available data on the ecotoxicity of microplastics to daphnids. To illuminate some of those gaps the present thesis was aimed at five main aspects:
(1) Tissue translocation of spherical microplastics in Daphnia magna
(2) Investigation of the toxicity of irregularly shaped microplastics
(3) Multigenerational and population effects of microplastics
(4) Comparison of the toxicity of microplastics and natural particles
(5) Effects of particle-aging on microplastics toxicity
The thesis is comprised of three peer-reviewed articles and one so-far unpublished study as “additional results”. The first study was aimed at understanding tissue translocation of spherical microplastics to lipid storage droplets of daphnids. The crossing of biological membranes is discussed as a prerequisite to eliciting tissue damage and an inflammatory response. Previously, researchers reported the translocation of fluorescently labeled spherical microplastics to lipid storage droplets of daphnids, even though no plausible biological mechanism to explain this occurrence. Therefore, in order to learn more about this process and potentially illuminate the mechanism we replicated the study. We were able to observe a fluorescence signal inside the lipid droplets only after increasing the exposure concentrations. Nonetheless, it appeared to be independent of particles. This led to the hypothesis, that the lipophilic fluorescent dye uncoupled from the particles and subsequently accumulated in lipid storage droplets. The hypothesis was further confirmed through an additional experiment with a silicone-based passive sampling device showing that the fluorescence occurred both independent of particles and digestive processes. Accordingly, we concluded that the reported findings were a microscopic artifact caused by the uncoupling of the dye from the particles. Therefore, a fluorescence signal alone is not a sufficient proxy to assume that particles have translocated. It needs to be coupled with additional methods to ensure that the observation is indeed caused by the translocation of particles.
It is still unclear whether the toxicity profile of microplastics is different from that of naturally occurring particles or if they are “just another particle”, as there are innumerable amounts in the natural environment surrounding an organism. The goal of the second study was to compare the toxicity of irregularly shaped polystyrene microplastics to that of the natural particle kaolin. The environment is full of natural non-food particles that daphnids ingest more or less indiscriminately and therefore are well adapted to deal with. Daphnids have a short generation time and usually experience food limitation in nature. Therefore, short-term studies only looking at acute toxicity with ad libitum food availability are not representative of the exposure scenario in nature. For a more realistic scenario, we, therefore, used a four-generation multigenerational design under food limitation to investigate how effects translate from one generation to the next. We observed concentration-dependent effects of microplastics but not of natural particles on mortality, reproduction, and growth. Some of the effects increased from generation to generation, leading to the extinction of two treatment groups. Here, microplastics were more toxic than natural particles. At least part of this difference can be explained by physical properties leading to the quick sedimentation of the kaolin, while microplastics remained in the water column. Nonetheless, buoyancy and sedimentation would also affect exposure in the environment and are likely different for most microplastics than for most naturally occurring particle types.
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Human GLUTs represent a family of specialized transporters that facilitate the diffusion of hexoses through membranes along a concentration gradient. The 14 isoforms share high sequence identity but differ in substrate specificity and affinity, and tissue distribution. According to their structure similarity, GLUTs are divided into three classes, with class 1 comprising the most intensively studied isoforms GLUTs1 4. An abnormal function of different GLUT members has been related to the pathogenesis of various diseases, including cancer and diabetes. Hence, GLUTs are the subject of intensive research, and efforts concentrate on identifying GLUT-selective ligands for putative medical purposes and their application in studies aiming to further unravel the metabolic roles of these transporters.
The hexose transporter deficient (hxt0) yeast strain EBY.VW4000 is devoid of all its endogenous hexose transporters and unable to grow on glucose or related hexoses. This strain has proven to be a valuable platform to investigate heterologous transporters due to its easy handling, increased robustness, and versatile applications. However, the functional expression of GLUTs in yeast requires certain modifications. Single point mutations of GLUT1 and GLUT5 led to their functional expression in EBY.VW4000, whereas the native GLUT1 was actively expressed in EBY.S7, a hxt0 strain carrying the fgy1 mutation that putatively reduces the phosphatidylinositol-4-phosphate (PI4P) content in the plasma membrane. GLUT4 was only actively expressed in the hxt0 strain SDY.022, which also contains the fgy1 mutation and in which ERG4 is additionally deleted. Erg4 is one of the late enzymes in the ergosterol pathway, and therefore SDY.022 probably has an altered sterol composition in its membrane.
The goal of this thesis was to actively express GLUT2 and GLUT3 in a hxt0 yeast strain, providing a convenient system for their ligand screening. A PCR-derived amino acid exchange in the sequence of GLUT3 enabled its functional expression in EBY.VW4000 and the unmodified GLUT3 protein was active in EBY.S7. Functional expression of GLUT2 was achieved by rational design. The extracellular loop between the transmembrane regions 1 and 2 is significantly larger in GLUT2 than in other class 1 GLUTs. By truncating this loop by 34 amino acids and exchanging an alanine for a serine, a GLUT3-like loop was implemented. The resulting construct GLUT2∆loopS was functional in EBY.S7. With an additional point mutation in the transmembrane region 11, GLUT2∆loopS_Q455R was also actively expressed in EBY.VW4000. Inhibition studies with the known GLUT inhibitors phloretin and quercetin showed a reduced transporter activity for GLUT2 and GLUT3 in uptake assays and growth tests when inhibitors were present, demonstrating that both systems are amenable for ligand screening experiments.
The newly established GLUT2 yeast system was then used to screen a library of compounds pre-selected by in silico screening. Thereby, eleven identified GLUT2 inhibitors exhibited strong potencies with IC50 values ranging from 0.61 to 19.3 µM. By employing the other yeast systems, these compounds were tested for their effects on GLUT1, and GLUTs3-5, revealing that nine of the identified ligands were GLUT2-selective. In contrast, one was a pan-class 1 inhibitor (inhibiting GLUTs1-4), and one affected GLUT2 and GLUT5, the two fructose transporting isoforms. These compounds will serve as useful tools for investigations on the role of GLUT2 in metabolic diseases and might even evolve into pharmaceutical agents targeting GLUT2-associated diseases.
Due to the beneficial effect of the putatively changed sterol composition in SDY.022 (by ERG4 deletion) on the functional expression of GLUT4, it was hypothesized that the presence of the human sterol cholesterol, or cholesterol-like sterols, might have a beneficial effect on GLUT expression, too. Thus, it was attempted to generate hxt0 strains that synthesize these sterols by genetic modifications targeting the ergosterol pathway. In the scope of these experiments, several strains with different sterol compositions were generated. Drop tests on glucose medium with the different strains expressing GLUT1 or GLUT4 revealed that the deletion of ERG6 is clearly advantageous for a functional expression of GLUT1 (but not GLUT4). This indicates that the methyl group at the ergosterol side chain (introduced by Erg6 and reduced by Erg4) negatively influences GLUT1 activity. However, this effect on GLUT1 activity was less pronounced than the putative altered PI4P content in EBY.S7.
Additionally, in this thesis, a new tool to measure glucose transport rates of transporters expressed in the hxt0 yeast system was developed to facilitate their kinetic characterization. For this, the pH-sensitive GFP variant pHluorin was employed as a biosensor for the cytosolic pH (pHcyt) by measuring the ratio (R390/470) of emission intensities at 512 nm from two different excitation wavelengths (390 and 470 nm). Sugar-starved cells exhibit a slightly acidic pHcyt because ATP production is depleted, reducing the activity of ATP-dependent proton pumps.
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Topological phases set themselves apart from other phases since they cannot be understood in terms of the usual Landau theory of phase transitions. This fact, which is a consequence of the property that topological phase transitions can occur without breaking symmetries, is reflected in the complicated form of topological order parameters. While the mathematical classification of phases through homotopy theory is known, an intuition for the relation between phase transitions and changes to the physical system is largely inhibited by the general complexity.
In this thesis we aim to get back some of this intuition by studying the properties of the Chern number (a topological order parameter) in two scenarios. First, we investigate the effect of electronic correlations on topological phases in the Green's function formalism. By developing a statistical method that averages over all possible solutions of the manybody problem, we extract general statements about the shape of the phase diagram and investigate the stability of topological phases with respect to interactions. In addition, we find that in many topological models the local approximation, which is part of many standard methods for solving the manybody lattice model, is able to produce qualitatively correct phase transitions at low to intermediate correlations.
We then extend the statistical method to study the effect of the lattice, where we evaluate possible applications of standard machine learning techniques against our information theoretical approach. We define a measure for the information about particular topological phases encoded in individual lattice parameters, which allows us to construct a qualitative phase diagram that gives a more intuitive understanding of the topological phase.
Finally, we discuss possible applications of our method that could facilitate the discovery of new materials with topological properties.
Both China and the EU have nearly 30 years of legislative experience on GMOs. However, despite all the experience gained so far and theoretical analyses, due to the social concerns about GMO risk, both China and Germany are still encountering a decision-making dilemma on authorizing green GMOs. Therefore, the dissertation is dedicated to the issue of whether there is a possibility that this dilemma could be resolved by improving or reformulating the administrative risk decision-making mechanism regarding green GMOs. Specifically, the dissertation analyses four concrete questions: operation of classical decision-making on danger prevention, the challenges posed by uncertain risks, the theoretical legal response to uncertain risk, and the functioning of legally constituted decision-making mechanisms for GMOs in Germany/ the EU and China.
Conventionally, danger is a threshold for the executive to intervene in individual liberty. It can ensure the rationality of ex-ante intervention and further guarantee a balance between individual liberty and public safety. Regarding the danger prevention decision-making process, the executive authorities investigate the factual information at first; then, based on reliable and accessible common knowledge about the rule of causality, predict the degree of possible damage and the occurrence probability; at last, make ex-ante intervention decisions to interrupt the causality chain and avoid damages.
In the risk society, uncertain risk of GMOs is characterized as collectively wide-ranging, manufactured, high-technological, and value-oriented. The ex-ante intervention of the administration extends from danger to uncertain risk, i.e., risk precaution. The essential cause of uncertain risk is that humans do not have sufficient knowledge and have not yet grasped the rule of causality regarding new technologies. Due to the lack of a cognitive reference standard, it is not easy for the administration to judge the existence of risks and make rational decisions on risk precaution, which, consequently, amounts to losing the balance between individual freedom and public safety. Besides, if the authority makes a decision ad arbitrium, and expects learning by error, this may cause significant secondary risks.
In the risk management system, there are two primary, partly interrelated strategies to manage risk that are currently used: that is, knowledge generation and proceduralization. Specifically, to de-materialize the legislation, integrate multipartite participation in the decision-making process, and open the procedure for updating the information can contribute to the generation of the requisite knowledge. Proceduralization can assist with knowledge generation, promote the reconciliation of conflicting interests, compensate for material and legal deficits, and control the legitimacy of administrative behavior.
In the final chapter, the laws on GMOs in the EU, Germany, and China are analysed, especially under the perspective of the concrete risk decision-making mechanisms.
Overall, this dissertation argues that law can procedurally guarantee the independence and reliability of experts and ensure that access to public participation is open. But what the law can do to address public trust and scientifically uncertain risks, is limited.
The problem of unconstrained or constrained optimization occurs in many branches of mathematics and various fields of application. It is, however, an NP-hard problem in general. In this thesis, we examine an approximation approach based on the class of SAGE exponentials, which are nonnegative exponential sums. We examine this SAGE-cone, its geometry, and generalizations. The thesis consists of three main parts:
1. In the first part, we focus purely on the cone of sums of globally nonnegative exponential sums with at most one negative term, the SAGE-cone. We ex- amine the duality theory, extreme rays of the cone, and provide two efficient optimization approaches over the SAGE-cone and its dual.
2. In the second part, we introduce and study the so-called S-cone, which pro- vides a uniform framework for SAGE exponentials and SONC polynomials. In particular, we focus on second-order representations of the S-cone and its dual using extremality results from the first part.
3. In the third and last part of this thesis, we turn towards examining the con- ditional SAGE-cone. We develop a notion of sublinear circuits leading to new duality results and a partial characterization of extremality. In the case of poly- hedral constraint sets, this examination is simplified and allows us to classify sublinear circuits and extremality for some cases completely. For constraint sets with certain conditions such as sets with symmetries, conic, or polyhedral sets, various optimization and representation results from the unconstrained setting can be applied to the constrained case.
Reactive oxygen species are a class of naturally occurring, highly reactive molecules that change the structure and function of macromolecules. This can often lead to irreversible intracellular damage. Conversely, they can also cause reversible changes through post-translational modification of proteins which are utilized in the cell for signaling. Most of these modifications occur on specific cysteines. Which structural and physicochemical features contribute to the sensitivity of cysteines to redox modification is currently unclear. Here, I investigated the in uence of protein structural and sequence features on the modifiability of proteins and specific cysteines therein using statistical and machine learning methods. I found several strong structural predictors for redox modification, such as a higher accessibility to the cytosol and a high number of positively charged amino acids in the close vicinity. I detected a high frequency of other post-translational modifications, such as phosphorylation and ubiquitination, near modified cysteines. Distribution of secondary structure elements appears to play a major role in the modifiability of proteins. Utilizing these features, I created models to predict the presence of redox modifiable cysteines in proteins, including human mitochondrial complex I, NKG2E natural killer cell receptors and proximal tubule cell proteins, and compared some of these predictions to earlier experimental results.
This dissertation describes the development of the beam dynamics design of a novel superconducting linear accelerator. At a main operating frequency of 216.816 MHz, ions with a mass-to-charge ratio of up to 6 can be accelerated at high duty cycles up to CW operation. Intended for construction at the GSI Helmholtz Centre for Heavy Ion Research in Darmstadt, the focus of the work is on the beam dynamic design of the accelerator section downstream of the high charge injector (HLI) at an injection energy of 1.39 MeV/u. An essential feature of this linear accelerator (Linac) is the use of the EQUUS (Equidistant Multigap Structure) beam dynamics concept for a variably adjustable output energy between 3.5 and 7.3 MeV/u (corresponding to about 12.4 % of the speed of light) with a required low energy spread of maximum 3 keV/u.
The GSI Helmholtz Centre for Heavy Ion Research is a large-scale research facility that uses its particle accelerators to perform basic research with ion beams. Research on super-heavy elements ("SHE") is a major focus. It is expected that their production and research will provide answers to a large number of scientific questions. The production and detection of elements with atomic numbers 107 to 112 (Bohrium, Hassium, Meitnerium, Darmstadtium, Röntgenium and Copernicium) was first achieved at GSI between 1981 and 1996.
Key to this remarkable progress in SHE research were continuous developments and technical innovations. On the one hand, in the field of experimental sensitivity and detection of the nuclear reaction products and, on the other hand, in the field of accelerator technology.
For the acceleration of the projectile beam, the UNILAC (Universal Linear Accelerator), which was put into operation in 1975, has been used at GSI so far. In the course of the reconstruction and expansion of the research infrastructure at GSI, a dedicated new particle accelerator, HELIAC (Helmholtz Linear Accelerator), is now under development to meet the special requirements of the beam parameters for the synthesis of new superheavy elements. Typically, the production rates of super-heavy elements with effective cross sections in the picobarn range are very low. Therefore, a high duty cycle (up to CW operation) is a key feature of HELIAC. Thus, the required beam time for the desired nuclear reactions can be significantly shortened.
Theoretical preliminary work by Minaev et al. and newly created knowledge about design, fabrication, and operation of superconducting drift tube cavities have laid the foundation for this work and thus the development of the HELIAC linear accelerator. It consists of a superconducting and a normal conducting part. Acceleration takes place in the superconducting part in four cryomodules, each about 5 m long. These contain three CH cavities, one buncher cavity, two solenoid magnets for transverse beam focusing, and two beam position monitors (BPMs).
The following 10 m long normal conducting part is primarily used for beam transport and ends with a buncher cavity. This is operated at a halved frequency of 108.408 MHz.
A key feature of this accelerator is the variability of the output energy from 3.5 to 7.3 MeV/u with a small energy uncertainty of ±3 keV/u maximum over the entire output energy range. For the development of HELIAC, the EQUUS beam dynamics concept used combined the advantages of conventional linac designs with the high acceleration gradients of superconducting CH-DTLs. By doubling the frequency (compared to the GSI high charge injector) to 216.816 MHz in the superconducting section and using CH cavities at an acceleration gradient of maximum 7.1 MV/m, an acceleration efficiency with superconducting drift tube structures that is unique in the world is made possible. At the same time, the compact lengths of the CH cavities ensure good handling for both production and operation. EQUUS leads to longitudinal beam stability in all energy ranges of the accelerator with the sliding motion of the synchronous phase within each CH cavity. The rms emittance growth is moderate in all levels. The modular design of the HELIAC with four cryomodules basically allows the Linac to be commissioned starting with the first cryomodule, the so-called Advanced Demonstrator. In the subsequent expansion stage with only the first two cryomodules of HELIAC, the lower limit of the energy range to be provided by HELIAC (3.5 MeV/u) can already be clearly exceeded, so that use in regular beam operation at GSI is already conceivable from here on.
By means of error tolerance studies, the stability of the HELIAC beam dynamics design against possible alignment errors of the magnetic focusing elements and accelerator cavities as well as errors of the electric field amplitudes and phases have been investigated, basically confirmed and critical parameters have been determined. An additional steering concept via dipole correction coils at the solenoid magnets allows transverse beam control as well as diagnostics by means of two BPMs per cryomodule.
With completion of this work in 2021, the CH1 and CH2 cavities have already been built and are in the final preparation and cold test phase. In parallel, the development of the CH cavities CH3-11 has also been started.
For finite baryon chemical potential, conventional lattice descriptions of quantum chromodynamics (QCD) have a sign problem which prevents straightforward simulations based on importance sampling.
In this thesis we investigate heavy dense QCD by representing lattice QCD with Wilson fermions at finite temperature and density in terms of Polyakov loops.
We discuss the derivation of $3$-dimensional effective Polyakov loop theories from lattice QCD based on a combined strong coupling and hopping parameter expansion, which is valid for heavy quarks.
The finite density sign problem is milder in these theories and they are also amenable to analytic evaluations.
The analytic evaluation of Polyakov loop theories via series expansion techniques is illustrated by using them to evaluate the $\SU{3}$ spin model.
We compute the free energy density to $14$th order in the nearest neighbor coupling and find that predictions for the equation of state agree with simulations to $\mathcal{O}(1\%)$ in the phase were the (approximate) $Z(3)$ center symmetry is intact.
The critical end point is also determined but with less accuracy and our results agree with numerical results to $\mathcal{O}(10\%)$.
While the accuracy for the endpoint is limited for the current length of the series, analytic tools provide valuable insight and are more flexible.
Furthermore they can be generalized to Polyakov-loop-theories with $n$-point interactions.
We also take a detailed look at the hopping expansion for the derivation of the effective theory.
The exponentiation of the action is discussed by using a polymer expansion and we also explain how to obtain logarithmic resummations for all contributions, which will be achieved by employing the finite cluster method know from condensed matter physics.
The finite cluster method can also be used to evaluate the effective theory and comparisons of the evaluation of the effective action and a direction evaluation of the partition function are made.
We observe that terms in the evaluation of the effective theory correspond to partial contractions in the application of Wick's theorem for the evaluation of Grassmann-valued integrals.
Potential problems arising from this fact are explored.
Next to next to leading order results from the hopping expansion are used to analyze and compare the onset transition both for baryon and isospin chemical potential.
Lattice QCD with an isospin chemical potential does not have a sign problem and can serve as a valuable cross-check.
Since we are restricted by the relatively short length of our series, we content ourselves with observing some qualitative phenomenological properties arising in the effective theory which are relevant for the onset transition.
Finally, we generalize our results to arbitrary number of colors $N_c$.
We investigate the transition from a hadron gas to baryon condensation and find that for any finite lattice spacing the transition becomes stronger when $N_c$ is increased and to be first order in the limit of infinite $N_c$.
Beyond the onset, the pressure is shown to scale as $p \sim N_c$ through all available orders in the hopping expansion, which is characteristic for a phase termed quarkyonic matter in the literature.
Some care has to be taken when approaching the continuum, as we find that the continuum limit has to be taken before the large $N_c$ limit.
Although we currently are unable to take the limits in this order, our results are stable in the controlled range of lattice spacings when the limits are approached in this order.
In the last two decades, our understanding of human gene regulation has improved tremendously. There are plentiful computational methods which focus on integrative data analysis of humans, and model organisms, like mouse and drosophila. However, these tools are not directly employable by researchers working on non-model organisms to answer fundamental biological, and evolutionary questions. We aimed to develop new tools, and adapt existing software for the analysis of transcriptomic and epigenomic data of one such non-model organism, Paramecium tetraurelia, an unicellular eukaryote. Paramecium contains two diploid (2n) germline micronuclei (MIC) and a polyploid (800n) somatic macronuclei (MAC). The transcriptomic and epigenomic regulatory landscape of the MAC genome, which has 80% protein-coding genes and short intergenic regions, is poorly understood.
We developed a generic automated eukaryotic short interfering RNA (siRNA) analysis tool, called RAPID. Our tool captures diverse siRNA characteristics from small RNA sequencing data and provides easily navigable visualisations. We also introduced a normalisation technique to facilitate comparison of multiple siRNA-based gene knockdown studies. Further, we developed a pipeline to characterise novel genome-wide endogenous short interfering RNAs (endo-siRNAs). In contrary to many organisms, we found that the endo-siRNAs are not acting in cis, to silence their parent mRNA. We also predicted phasing of siRNAs, which are regulated by the RNA interference (RNAi) pathway.
Further, using RAPID, we investigated the aberrations of endo-siRNAs, and their respective transcriptomic alterations caused by an RNAi pathway triggered by feeding small RNAs against a target gene. We find that the small RNA transcriptome is altered, even if a gene unrelated to RNAi pathway is targeted. This is important in the context of investigations of genetically modified organisms (GMOs). We suggest that future studies need to distinguish transcriptomic changes caused by RNAi inducing techniques and actual regulatory changes.
Subsequently, we adapted existing epigenomics analysis tools to conduct the first comprehensive epigenomic characterisation of nucleosome positioning and histone modifications of the Paramecium MAC. We identified well positioned nucleosomes shifted downstream of the transcription start site. GC content seems to dictate, in cis, the positioning of nucleosomes, histone marks (H3K4me3, H3K9ac, and H3K27me3), and Pol II in the AT-rich Paramecium genome. We employed a chromatin state segmentation approach, on nucleosomes and histone marks, which revealed genes with active, repressive, and bivalent chromatin states. Further, we constructed a regulatory association network of all the aforementioned data, using the sparse partial correlation network technique. Our analysis revealed subsets of genes, whose expression is positively associated with H3K27me3, different to the otherwise reported negative association with gene expression in many other organisms.
Further, we developed a Random Forests classifier to predict gene expression using genic (gene length, intron frequency, etc.) and epigenetic features. Our model has a test performance (PR-AUC) of 0.83. Upon evaluating different feature sets, we found that genic features are as predictive, of gene expression, as the epigenetic features. We used Shapley local feature explanation values, to suggest that high H3K4me3, high intron frequency, low gene length, high sRNA, and high GC content are the most important elements for determining gene expression status.
In this thesis, we developed novel tools, and employed several bioinformatics and machine learning methods to characterise the regulatory landscape of the Paramecium’s (epi)genome.
In dieser Arbeit wird sowohl das Potenzial von molekularen Photoschaltern als lichtempfindliche Komponenten für photopharmakologische Anwendungen als auch das von künstlichen RNA-Aptameren als regulatorische Schalteinheiten für die Entwicklung von funktionellen Riboschaltern untersucht. Verschiedene wesentliche Aspekte beider Anwendungs-felder wurden eingehend einzeln untersucht und die beiden Schaltsysteme schließlich durch das Design eines synthetischen RNA-Aptamers kombiniert, dessen Ligandbindung durch licht-induzierte Isomerisierung seines Photoschalterliganden reguliert werden kann.
Molekulare Photoschalter wie Azobenzole und Spiropyrane haben sich als vielversprechende photochemische Werkzeuge erwiesen, um lichtgesteuert reversible und biochemisch nutzbare Effekte erzeugen. Spiropyrane bergen aufgrund der drastischen Veränderungen ihrer molekularen Eigenschaften infolge der Photoisomerisierung zum Merocyanin (MC) ein enormes Anwendungs-potenzial. Von den hier untersuchten wasserlöslichen Pyridin- (Py-) und Nitro-BIPS-Derivaten zeigt insbesondere die Py-BIPS-Verbindung 2 ein außerordentlich vielseitiges Verhalten. Im Vergleich zu anderen Vertretern dieser Photoschalterklasse wird ein deutlich höherer MC-Anteil von etwa 50% thermisch innerhalb von wenigen Minuten akkumuliert. Durch lichtinduzierten Ringschluss zum reinen Spiropyran (SP) und thermische Wiederherstellung des Gleichgewichts, kann diese hohe Schaltamplitude über mehrere Zyklen ohne signifikante Zersetzung beibehalten werden. Der Einsatz von schädlichem UV-Licht kann somit vermieden werden, was zusätzlich sehr vorteilhaft für einen möglichen Einsatz in einem biochemischen Kontext ist.
Verbindung 2 weist zudem mehrere Protonierungsstellen auf, die ihr in Abhängigkeit des pH-Wertes faszinierende photosaure Eigenschaften verleihen. Das einfach protonierte HMC Isomer ermöglicht eine lichtstimulierte reversible Kontrolle des pH-Wertes in einem Bereich von etwa 4,5 bis 7,5, mit möglichen pH-Sprüngen von bis zu 1,5 Einheiten. Durch transiente Absorptionsstudien wurde ein Mechanismus für die Protonenfreisetzung nachgewiesen, der lediglich auf der Veränderung des pKs-Wertes der N-protischen Position infolge des lichtinduzierten Ringschlusses beruht. Im Gegensatz dazu wird das phenolische Proton des doppelt protonierten HMCH Isomers innerhalb von 1-2 Pikosekunden nach Anregung aus dem angeregten Zustand an das Lösemittel übertragen. Durch eingehende Ultrakurzzeitmessungen der Freisetzung des phenolischen Protons, konnten die protonierten Spezies der Py- und Nitro-Merocyanine als Superphotosäuren etabliert werden. Sie können somit als ultraschnelle Auslöser für protonenvermittelte Prozesse eingesetzt werden, die zu den fundamentalsten Reaktionen in der Natur gehören.
Was potenzielle pharmakologische Zielsysteme betrifft, so dürfte RNA eine große Zukunft bevorstehen, da sie einfach zu synthetisieren ist und Zugang zu verschiedenen Ebenen zellulärer Regulationsmechanismen bietet. Insbesondere RNA-Aptamere, die in der Lage sind, niedermolekulare Liganden mit außergewöhnlich hoher Affinität und Spezifität zu binden, sind für die Entwicklung von künstlichen Riboschaltern hoch interessant. Während künstliche Aptamere für beliebige Liganden durch einen in vitro Selektionsprozess generiert werden können, ist nicht zur Gänze geklärt warum nur wenige von ihnen als aktive in vivo Riboschalter funktionieren. Die vorliegenden Ergebnisse zeigen die Bedeutung der konformationellen Aptamerdynamik während der Ligandenbindung für das Regulationspotential. Die Mg2+-abhängigen Bindungsstudien des hochfunktionellen Tetrazyklin (TC) -Aptamers zeigen, dass zweiwertige Kationen nicht nur für die korrekte Vorfaltung des Aptamers wichtig sind, sondern auch an der Ligandenbindung und RNA-Strukturanpassung selbst beteiligt sein können. Nach der Assoziation von TC an die Bindungstasche pflanzt sich eine Konformationsanpassung zur entfernten Dreifachhelixregion fort, wo Mg2+ zusätzlich für die Ausbildung endgültig gebundenen Zustandes benötigt wird.
Neben dem Einfluss von Mg2+, zeigen zeitaufgelöste Ligandenbindungsstudien von drei Ciprofloxacin (CFX) -Aptameren eine klare Korrelation zwischen der Kinetik des Struktur-anpassungsschrittes der RNA an den Liganden und dem beobachteten Regulationspotenzial in parallel durchgeführten in vivo Assays. Es wird geschlussfolgert, dass eine beschleunigte und irreversible RNA-Anpassung auf eine Konformationsänderung hindeutet, die ausgeprägt genug ist, um eine Aktivität als Riboschalter zu ermöglichen. Diese Erkenntnisse werden durch die berichteten Ligandenbindungskinetiken von anderen künstlichen Aptameren und auch von natürlichen Riboschaltern bestätigt und sollten weitreichende Implikationen für die Optimierung von Selektionsprotokollen für funktionelle Aptamere haben.
Schließlich wird ein lichtempfindliches RNA-Aptamer vorgestellt, dessen Ligand auf dem Antibiotikum Chloramphenicol (Cm) basiert, welches synthetisch mit einem Azobenzolfragment versehen wurde (azoCm). Durch systematische Optimierung von in vitro Selektionsprotokollen und die erfolgreiche Implementierung eines Belichtungsschrittes zur Isomerisierung des Liganden konnten Aptamere erhalten werden, die spezifisch an die trans-Form von azoCm binden. Bindungsaffinitätsstudien bestätigen diese Selektivität und durch Zirkulardichroismusstudien konnte zudem eine lichtinduzierte reversible Dissoziation des von cis-azoCm gezeigt werden. Damit wird hier eine erfolgreiche Entwicklungsstrategie für lichtabhängige RNA-Aptamer – Ligandsysteme dargelegt, welche wiederum fundamental neuartige Ansätze für die Erschließung lichtstimulierter biologischer Regulationswege zugänglich machen.
Particle collisions provide insight into the structure of matter and the interaction of its constituents. Furthermore, they also allow a better understanding of the processes involved in the formation of the universe. To cover these diverse areas, it is necessary to study different observables and collision systems. A particular challenge is to find a suitable measurable observable for a theoretically meaningful variable and to develop a measurement process taking into account the experiment. The analyses of particle collisions in this thesis cover many of the challenges and objectives mentioned above. The focus of the work is the analysis of isolated photons at an energy of √s = 7 TeV. In addition, the work also includes measurements of the average transverse momentum in Pb-Pb collisions at an energy of √s = 2.76 TeV.
Apart from the collision system, the two analyses complement each other in other respects. The measurement of isolated photons represents the first measurement of this observable with ALICE and thus lays the foundation for further measurements at other collision systems and energies. The measurement of the mean transverse momentum, on the other hand, is based on an established measurement and thus allows the comparison of different collision systems. Likewise, the physical processes studied differ. With the measurement of isolated photons, hard scattering processes in the collisions can be investigated, while the average transverse momentum allows a description of the underlying event.
When measuring isolated photons, it should be noted that isolated photons are a measurable observable that cannot be assigned to an explicit physical process. The isolation criterion used in the analysis serves to increase the fraction of prompt photons from 2→2 processes. These photons can contribute to a better understanding of the parton density function (PDF) of gluons, as well as be used as a reference for perturbative QCD calculations.
Of particular importance for the analysis are the cluster shape and the energy within a certain radius around the potential photon. The combination of these two quantities allows determining the background using the ABCD method established by CDF and ATLAS. The result obtained in this way extends the previous measurements of the cross-section of isolated photons at the LHC to lower transverse momenta. Similarly, the previous measurements of the cross-section as a function of the scale variable xT are extended to lower values.
The main focus of the measurement of the average transverse momentum of charged particles ⟨pT⟩ is to compare the measurement for the pp, p-Pb, and Pb-Pb collision systems. To obtain a direct comparison between the different collision systems, ⟨pT ⟩ is measured against the true multiplicity nch. Since the multiplicity range of pp and p-Pb collisions is limited, the analysis in Pb-Pb collisions is restricted to nch = 100. This range corresponds to peripheral Pb-Pb collisions. A particular focus of the analysis is the determination and reduction of the electromagnetic background in peripheral Pb-Pb collisions and the determination of nch based on the measured multiplicity nacc . The different collision systems show similar behavior with increasing multiplicity. The steepest increase occurs at low multiplicities and changes for all collision systems at nch = 14. With higher multiplicities, the slope reduces further, with the effect being most pronounced in Pb-Pb collisions.
Cancer therapies have experienced significant advances in recent years. While conventional cytotoxic chemotherapy has long been the cornerstone for the treatment of many tumor entities, uprising immunotherapies have revolutionized the therapeutic landscape. Among them, immune checkpoint inhibitors (ICIs) with their demonstrated increased overall survival rates and response rates in cancer patients are now FDA-approved for metastatic melanoma and multiple other malignancies. Despite their clinical benefit in cancer therapies, ICIs can induce unique autoimmune-like toxicities known as immune-related adverse events (irAEs), which can involve any organ system including the nervous system. Although neurotoxicities are rare complications of ICI therapy they are often severe and can lead to long-term disability or even death if left untreated.
Neurological irAEs exhibit a broad spectrum of clinical presentations affecting the entire nervous system. Diagnosing neurological irAEs is often challenging as symptoms and laboratory findings can be uncharacteristic for common neurological disorders and clinical experience with ICI-mediated toxicities is still limited. In light of expanding clinical indications for ICIs, physicians will encounter ICI-mediated neurotoxicities more frequently. Thus, thorough characterizations of the diverse set of neurological irAEs are essential for optimal patient care, the prevention of severe ICI-mediated complications, and the development of diagnostic and therapeutic algorithms. This work portrays the clinical presentation, management and outcome of neurological irAEs following ICI therapies.
Patients with neurotoxicities related to ICIs who presented at the Yale New Haven Hospital between January 2014 and June 2018 were retrospectively identified from the quality control database. A comprehensive chart review was performed and data regarding patient demographics, medical history, ICI regimen and neurotoxicity were recorded. In total, 18 patients with neurological irAEs following ICI therapy for melanoma, small cell lung cancer, non-small cell lung cancer, and Merkel-cell carcinoma were identified. Neurotoxicities included central nervous system disorders comprising central demyelinating disorder,autoimmune encephalitis predominantly affecting the grey matter, and aseptic meningitis. Peripheral nervous system toxicities included sensorimotor polyneuropathy and myasthenia gravis. Cases of hypophysitis were also recorded. Time to onset of neurological irAEs ranged from 1 to72 weeks with a median of five weeks. In all patients ICIs were held and steroids initiated. Additional immunomodulatory therapies were required in nine patients. Sixteen of 18 patients showed neurological improvement. Fourteen patients had highgrade neurotoxicity (grade 3-4), six of whom deceased due to cancer progression, while none of the low-grade neurotoxicity patients (grade 1-2) died. High-grade neurotoxicity was identified as a negative prognostic marker for overall survival (p = 0.046).
This work shows that neurotoxicities present early-onset, rapidly progressive complications of ICIs with a broad spectrum of clinical phenotypes affecting the central nervous system, peripheral nervous system, and neuroendocrine system. A high index of caution for neurological irAEs is warranted throughout ICI therapy as timely diagnosis and management can reduce morbidity and mortality. Randomized clinical trials are needed to develop standardized diagnostic and therapeutic algorithms of ICI-induced neurotoxicities.
In this thesis we investigate the thermodynamic and dynamic properties of the D-dimensional quantum Heisenberg ferromagnet within the spin functional renormalization group (FRG); a
formalism describing the evolution of the system’s observables as the magnetic exchange inter-action is artificially deformed. Following an introduction providing a self contained summary of the conceptual and mathematical background, we present the spin FRG as developed by Krieg and Kopietz in references [1] and [2] in chapter two. Thereto, the generating functional of the imaginary time-spin correlation functions and its exact flow equation describing the deformation process of the exchange interaction are introduced. In addition, it is highlighted that - in contrast to conventional field-theoretic FRG approaches - the related Legendre trans-formed functional cannot be defined if the exchange interaction is initially switched off. Next, we show that this limitation can be circumvented within an alternativ hybrid approach, which treats transverse and longitudinal spin fluctuations differently. The relevant functionals are introduced and the relations of the corresponding functional Taylor coefficients with the spin correlation functions are discussed. Lastly, the associated flow equations are derived and the possibility of explicit or spontaneous symmetry breaking is taken into account.
In chapter three, we benchmark the hybrid formalism against a calculation of the thermo-dynamic properties of the one and two-dimensional Heisenberg model at low temperatures T and finite magnetic field H. For this purpose, we devise an anisotropic deformation scheme of the exchange interaction which allows for a controlled truncation of the infinite hierarchy of FRG flow equations. Thereby, contact with mean-field and spin-wave theory is made and the violation of the Mermin-Wagner theorem is discussed. To fulfill the latter, the truncation scheme is then complemented by a Ward identity relating the transverse self-energy and the magnetization. The resulting magnetization M (H, T ) and isothermal susceptibility χ(H, T ) are in quantitative agreement with the literature and the established behavior of the transverse correlation length and the zero-field susceptibility close to the critical point is qualitatively reproduced in the limit H → 0.
Finally, we investigate the longitudinal dynamics at low temperatures. To this end, the hierarchy of flow equations is solved within the same anisotropic deformation scheme complemented by an expansion in the inverse interaction range, and the resulting longitudinal dynamic structure factor is calculated within a low-momentum expansion. In D = 3, the large phase space accessible for the decay into transverse magnons yields only a broad hump centered at zero frequency whose width scales linearly in momentum. In contrast, at low temperatures and in a certain range of magnetic fields, a well-defined quasiparticle peak with linear dispersion emerges in D ≤ 2, which we identify as zero-magnon sound. Sound velocity and damping are discussed as a function of temperature and magnetic field, and the relevant momentum-frequency window is estimated and compared to the hydrodynamic
second-magnon regime.
In contrast to Japan and the “dragon economies,” the Philippines has not been able to partake in the “Asian Economic Miracle.” In short, the Philippines does not classify as a developmental state which exercises strategic industrial policies as traced in Japan, South Korea, Taiwan and Singapore. In fact, even its Southeast Asian neighbors Malaysia, Thailand and Indonesia had economically outdone the Philippines by the 1980s even though their prospects were much worse than those of the Philippines in the 1950s. And while the Philippine economy has been experiencing an upsurge in recent years, it is still significantly lagging behind regional standards—especially with regard to industrial development. From a political economy perspective, it is of key interest in how far the Philippine state has been contributing to this subpar development. In order to explore the ongoing Philippine development dilemma, the study thus offers a comprehensive analysis of the Philippines’ industrial policies, based on distinct government–business relations and patterns of social embeddedness. In addition to assessing the Philippines’ industrial policies and their embeddedness in general, two of the Philippines’ main export industry sectors—textile/garments and electronics—are examined. In this manner, the study contributes to the analysis of the political economy of economic development in the Philippines and provides insights on the prospects and limits of industrial policy in the Southeast Asian context.
Die vorliegende Arbeit Zeitaufgelöste NMR-spektroskopische Untersuchung konformationeller Dynamiken in DNA G-Quadruplexen befasst sich mit der detaillierten biophysikalischen Untersuchung wichtiger strukturdynamischer Eigenschaften von nicht-kanonischen Nukleinsäure Sekundärstrukturelementen.
Im Genom aller eukaryotischer Lebewesen, insbesondere dem menschlichen Genom finden sich DNA-Sequenzabschnitte, die überdurchschnittlich Guanosin (G)-reich sind. Diese poly-G Abschnitte sind nicht zufällig im Genom verteilt, sondern häufen sich vermehrt in Genabschnitten, die besonders wichtig für die Regulation der Genexpression sind. G-reiche DNA-Sequenzen können unter geeigneten Umständen alternative Sekundärstrukturen ausbilden, die von der doppelsträngigen, kanonischen Watson-Crick Konformation abweichen. In Anwesenheit monovalenter Kationen können sich G-Nukleotide in einer Tetrade über Hoogsteen Interaktionen anlagern. Diese Tetraden können sich stapeln und dadurch sogenannte G-Quadruplexe (G4) ausbilden. Das menschliche cMYC Gen wird typischerweise als proto-Onkogen bezeichnet. Es kodiert für einen unspezifischen Transkriptionsfaktor, der bei einer Vielzahl von systematischen und soliden Tumorerkrankungen stark überexprimiert wird. Die zelluläre Konzentration des Genprodukts kann zu 90% über ein G4 cis-Element in der Promotorregion reguliert werden. Der cMYC G4 hat die Möglichkeit verschiedene Konformationen einzunehmen. Im Falle des cMYC G4 kann man zusätzliche, nicht-konventionelle Formen der konformationellen Isomerie finden. Zum einen gibt es die Möglichkeit, dass bei einem G4, der aus drei Tetraden und vier intramolekularen Strangabschnitten (dreistöckiger G4) besteht, einzelne Strangabschnitte mehr als drei konsekutive G-Nukleotide besitzen. Dadurch können sich Faltungs-Isomere bilden, die sich durch Verschieben des Strangs relativ zum verbleibenden dreistöckigen Tetradengerüst ergeben. Man spricht von G-Register Isomeren. Eine zweite Möglichkeit der Strukturisomerie ergibt sich, wenn in einer Nukleotidsequenz mehr als vier G-reiche Strangabschnitte aufeinander folgen. Jeweils vier dieser Strangabschnitte können in unterschiedlicher Weise kombiniert werden, um ein G4 Isomer auszubilden. In jedem dieser so zustande gekommenen G4 verbleibt ein (oder mehrere) G-reicher Strangabschnitt, der im konkreten Isomer nicht zur Faltung verwendet wird. Diese zusätzlichen G-Stränge werden daher auch Ersatzräder (engl. spare-tires) genannt; man erhält spare-tire Isomere.
Obwohl diese Formen des Polymorphismus, deren biologischer Kontext und die biophysikalischen Konsequenzen in Arbeiten von C. Burrows (2015) und A. Mittermaier (2016) erstmals umfassend beschrieben wurden, gab es bis zum Ausgangspunkt dieser Arbeit keine Kenntnisse über deren strukturelle Dynamik, den Faltungswegen und den zugrundeliegenden molekularen Mechanismen. Zeitaufgelöste Kernspinresonanz (engl. nuclear magnetic resonance, NMR) Spektroskopie ist eine bestens geeignete Methode, um die Dynamik von Biomakromolekülen mit atomarer Auflösung zu studieren. Um solche Experimente durchführen zu können, braucht es geeignete Herangehensweisen für die Präparation eines Nicht-Gleichgewichtszustands. In dieser Arbeit wird eine neu erarbeitete Strategie vorgestellt, die es erlaubt, Einblick in die Faltungs- und Umfaltungskinetiken eines dynamischen Konformations-Ensembles nicht-konventioneller Strukturisomere der cMYC G4 DNA-Sequenz zu erhalten.
Hierzu wurden photolabile Schutzgruppen (engl. Photocages) positionsspezifisch an bestimmten G-Nukleobasen (O6-(R)-NPE) angebracht. Die Schutzgruppen blockieren die Basenpaar-Interaktionen des Nukleotids, wodurch dieses sich nicht mehr an einer Tetradenbildung beteiligen kann. Die Photocages wurden jeweils an den Nukleotiden eingeführt, die nur in jeweils einem der G-Register Isomere an der Tetradenbildung beteiligt sind. Durch diese gezielte Destabilisierung konnten die Isomere getrennt und im gefalteten Zustand isoliert werden. Die so erhaltenen Konformationen wurden umfassend spektroskopisch charakterisiert. Der Ansatz, das konformationelle Gleichgewicht durch Photocages transient zu stören, wurde daraufhin weiterentwickelt. Mehrere Photocages wurden an Nukleobasen in zentraler Position einzelner G-Strangabschnitte angebracht. Dadurch konnte eine ausreichende Destabilisierung erreicht werden, die die Faltung jedweder G4 Strukturen unterbindet. Somit wurde ein ungefalteter Zustand erzeugt, der unter ansonsten frei wählbaren, physiologischen Bedingungen besteht. Durch in situ Photolyse der Schutzgruppen konnte so die Licht-induzierte G4 Faltung unter konstanten Puffer- und Temperaturbedingungen untersucht werden. Dieser Ansatz wurde auf die Untersuchung der Faltungswege, die zu verschiedenen spare-tire Isomeren führen, fokussiert.
Zusammenfassend kann festgestellt werden, dass es insgesamt erstmalig gelungen ist, die Kinetiken der wesentlichen Faltungs- und Umfaltungswege entlang der konformationellen Energielandschaft des cMYC G4 Elements zu untersuchen. Das komplexe, dynamische Zusammenspiel aller relevanten, nicht-konventionellen isomeren G4 Strukturen konnte entworren und umfassend experimentell beschrieben werden. Der dafür weiterentwickelte Ansatz über konformationelle Selektion mit Hilfe photolabiler Schutzgruppen hat dabei experimentelle Einblicke erlaubt, die bislang nicht zugänglich waren. Die Strukturen und Faltungszustämde, die mit den chemisch modifizierten Oligonukleotiden erhalten und isoliert wurden, sind umfassend spektroskopisch untersucht worden. Die Anwendung verschiedener spektroskopischer Ansätze und deren Kombination mit weiteren biophysikalischen Methoden hat eine Methoden-unabhängige Validierung der erhaltenen kinetischen und thermodynamischen Daten ermöglicht.
Private equity has grown remarkably in the last 30 years. Given its rise to prominence, exceptional profitability and a more prolific and publicly visible buyout activity, regulation in the private equity space seemed inevitable. The 2007 global financial crisis furnished an opportunity to doubt the industry’s role and magnify the key concerns, providing momentum for calls to regulate the industry more aggressively. Ultimately, the regulatory change came from the Alternative Investment Fund Managers Directive (AIFMD), which has been described as one of the most rigorously debated and controversial pieces of financial regulation to ever emerge from the European Union (EU).
The AIFMD is unique and unprecedented, yet there has been very little written about it in the context of private equity. Therefore, this thesis makes a contribution to this area of research by examining the implications of AIFMD for private equity and arguing that this EU Directive has a re-shaping effect on the industry that inevitably marks the end of the light-touch regulation in this area. Whilst the desire of policymakers to act and intervene decisively during market
downturns is understandable, there is a risk that the response may not be appropriate and result in a crisis-induced over-reaction.
This thesis demonstrates, amongst other things, that the AIFMD has created a particularly
complex regulatory regime which for the hitherto unregulated or lightly regulated fund managers has had a significant effect in the EU and beyond. Examples of the most impactful
provisions relate to authorisation, marketing, depositaries, acquisition of control, remuneration, and transparency and disclosure. The implication are wide-ranging, and there is a clear conflict between the opportunities (e.g. EU passport, AIFMD as a global brand) and threats (e.g. excessive compliance costs, exodus of fund managers from the EU), which depend on a firm’s size, domicile and the gap needed to be aligned between the pre- and post-AIFMD regime.
Although there will be no stark triumph of one position over another in the assessment of the AIFMD until all of its elements are fully implemented, overall the impact of the Directive has been material, requiring substantial work to comply with (or adapt to) the requirements, which in some cases are not only particularly onerous and costly, but also a bit misguided, discouraging, or fairly irrelevant.
Ziel dieser Dissertation ist es, die Gleichgewichts- und Nichtgleichgewichts-Eigenschaften des stark wechselwirkenden QGP-Mediums nahe dem Phasenübergang unter extremen Bedingungen von hohen T und hohen Baryonendichten mit Hilfe der kinetischen Theorie im Rahmen von effektiven Modellen zu untersuchen. Wir werden zunächst die thermodynamischen und Transporteigenschaften des QGPs in der Nähe des Gleichgewichts auf der Basis des DQPM im Bereich moderater chemischer Baryonenpotentiale μB ≥ 0.5 GeV untersuchen. Insbesondere werden die EoS und die Schallgeschwindigkeit sowie die Transportkoeffizienten des QGP auf der Grundlage des DQPM bei endlichen T und μB berechnet. Transportkoeffizienten sind besonders interessant, da sie Informationen über die Wechselwirkungen im Medium erlauben, das im Gleichgewicht durch eine Temperatur T und ein chemisches Potential μB charakterisiert werden kann. Unter Berücksichtigung der Transportkoeffizienten und der EoS der QGP-Phase vergleichen wir unsere Ergebnisse mit verschiedenen Resultaten aus der Literatur, in denen Transportkoeffizienten des QGPs auf Basis von effektiven Modellen vorwiegend bei Null oder kleinem chemischen Potentialen untersucht wurden.
Darüber hinaus werden in Kapitel 3 die Gleichgewichtseigenschaften des QGPs und insbesondere die Auswirkungen der μB-Abhängigkeit der thermodynamischen und Transporteigenschaften des QGPs im Rahmen des erweiterten PHSD-Transportansatzes untersucht, der die vollständige Entwicklung des Systems einschließlich der partonischen Phase umfasst. Die Entwicklung des PHSD-Transportansatzes wird in der partonischen Phase erweitert, indem explizit die gesamt- und differentiellen partonischen Streuquerschnitte auf der Grundlage des DQPM berechnet und bei der tatsächlichen Temperatur T und dem baryonischen chemischen Potential μB in jeder einzelnen Raum-Zeit-Zelle, in der die partonische Streuung stattfindet, ausgewertet werden.
Um die Spuren der μB-Abhängigkeit des QGPs in den Observablen zu untersuchen, werden die Ergebnisse von PHSD5.0 (mit μB-Abhängigkeiten) mit den Ergebnissen von PHSD5.0 für μB = 0 sowie mit PHSD4.0, in dem die Massen/Breiten der Quarks und Gluonen sowie deren Wechselwirkungsquerschnitte nur von T abhängen, verglichen. Wir diskutieren die PHSD-Ergebnisse für verschiedene Observablen: (i) Rapiditäts- und pT -Verteilungen von identifizierten Hadronen für symmetrische Au+Au- und Pb+Pb- Kollisionen bei Energien von 30 AGeV (zukünftige NICA-Energie) sowie für die RHIC-Spitzenenergie von √sNN = 200 GeV; (ii) gerichteter Fluss v1 von identifizierten Hadronen für Au + Au bei invarianter Energie √sNN = 27 GeV und 200 GeV; (iii) elliptischer Fluss v2 der identifizierten Hadronen für Au+Au bei invarianten Energien √sNN = 27 und 200 GeV. Der Vergleich der "Bulk"-Observablen für Au+Au-Kollisionen innerhalb der drei PHSD-Einstellungen hat gezeigt, dass sie eine recht geringe Empfindlichkeit gegenüber den μB -Abhängigkeiten der Partoneigenschaften (Massen und Breiten) und ihrer Wechselwirkungsquerschnitte aufweisen, sodass die Ergebnisse von PHSD5.0 mit und ohne μB sehr nahe beieinander liegen. Nur im Fall von Kaonen, Antiprotonen ̄p und Antihyperonen ̄Λ + ̄Σ0 konnte ein kleiner Unterschied zwischen PHSD4.0 und PHSD5.0 bei den höchsten SPS- und RHIC-Energien festgestellt werden.
Wir finden nur geringe Unterschiede zwischen den Ergebnissen von PHSD4.0 und PHSD5.0 für die hier betrachteten hadronischen Observablen sowohl bei hohen als auch bei mittleren Energien. Dies hängt damit zusammen, dass bei hohen Energien, wo die Materie vom QGP dominiert wird, ein sehr kleines chemisches Baryonenpotential μB in zentralen Kollisionen bei mittlerer Rapidität gemessen wird, während mit abnehmender Energie und größerem μB der Anteil des QGPs rapide abnimmt, sodass die endgültigen Beobachtungswerte insgesamt von den Hadronen dominiert werden, die an der hadronischen Rückstreuung teilgenommen haben, und somit die Information über ihren QGP-Ursprung verwaschen oder verloren geht.
In Kapitel 4 betrachten wir die Transportkoeffizienten von QGP-Materie im erweiterten Polyakov-NJL-Modell entlang der Übergangslinie für moderate Werte des chemischen Baryonenpotenzials 0 ≤ μB ≤ 0.9 GeV sowie in der Nähe des kritischen Endpunkts(CEP) und bei großem chemischen Baryonenpotenzial μB = 1.2 GeV, wo ein Phasenübergang erster Ordnung stattfindet. Wir untersuchen, wie die Natur der Freiheitsgrade die Transporteigenschaften des QGPs beeinflusst. Darüber hinaus demonstrieren wir die Auswirkungen des Phasenübergangs erster Ordnung und des CEP auf die Transportkoeffizienten im dekonfinierten QCD-Medium.
Darüber hinaus wird in Kapitel 5 eine phänomenologische Erweiterung des DQPM auf große baryonchemische Potentiale μB einschließlich der Region mit einem möglichen CEP und späterem Phasenübergang erster Ordnung betrachtet. Eines der wichtigsten Merkmale des Modells ist das Auftreten einer ’kritischen‘ Skalierung in der Nähe des CEP. Das Hauptziel des vorgestellten Modells besteht darin, die mikroskopischen und makroskopischen Eigenschaften der partonischen Freiheitsgrade für den Bereich des Phasendiagramms bereitzustellen, der durch moderates T und moderates oder hohes μB gekennzeichnet ist.
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The putative effects of dark matter are most easily explained by a collisionless fluid on cosmological scales and by Modified Newtonian Dynamics (MOND) on galactic scales. Hybrid MOND dark matter models combine the successes of dark matter on cosmological scales and those of MOND on galactic scales. An example of such a model is superfluid dark matter (SFDM) which postulates that this differing behavior with scale is caused by a single underlying substance with two phases. In this thesis, I highlight successful observational tests of SFDM regarding strong lensing and the Milky Way rotation curve. I also discuss three problems due to the double role of the aforementioned single underlying substance and show how these may be avoided. Finally, I introduce a novel Cherenkov radiation constraint for hybrid MOND dark matter models. This constraint is different from standard modified gravity Cherenkov radiation constraints because such hybrid models allow even non-relativistic objects like stars to emit Cherenkov radiation.
Treatment response to neoadjuvant chemoradiotherapy (nCRT) varies considerably among individual patients in advanced rectal cancer indicating a clinical need for markers to predict treatment efficacy and to stratify patients for future personalized treatment. In recent years, there is a tremendous evidence on a pivotal impact of immune components on the development/pathogenesis of cancer and on mediating response to radiation and chemotherapy. Moreover, liquid biopsy biomarkers have become increasingly attractive to predict treatment response because they are easy to collect, reflect information on different aspects of tumor biology and can be accurately measured by standardized methods.
This study aimed to investigate the peripheral blood and tumor tissue immune cell contexture in patients with rectal adenocarcinoma treated with nCRT and chemotherapy (CT) within a prospective randomized phase II CAO-ARO-AIO-12 trial, conducted in the context of DKTK (Deutsches Konsortium für translationale Krebsforschung) and FCI (Frankfurt Cancer Institute), to address the questions whether peripheral blood and/or primary tumor immune contexture predict for treatment response, were modulated by nCRT/CT and correlated with each other. By this, immune cell components were assayed by flow cytometry from peripheral blood mononuclear cells (PBMCs) at baseline, day 43, and pre-surgery of 22 patients treated with nCRT/CT and subsequently correlated with pathologic treatment response. Immunophenotyping was performed applying different staining panels covering myeloid immune cells and human leukocyte antigen (HLA) molecules, T lymphocyte subpopulations and programmed cell death (PD)-1 protein expression and regulatory T cells (Tregs). In addition, tumor tissue samples from pre-therapeutic biopsies and surgical specimens were analyzed by immunohistochemistry and multiparametric immunofluorescence.
The present prospective study raised the following issues. First, peripheral lymphocytes seem to play a crucial role in the nCRT/CT mediated systemic anticancer immunological response. Second, among the various lymphocyte subsets, peripheral blood, but not tissue resident T lymphocytes seem to play a central role in predicting treatment response. By this, baseline blood phenotyping revealed a lymphocyte distribution with high numbers of (CD3+CD4+) T helper cells and low numbers of (CD3+CD8+) cytotoxic T cells expressing PD1, activation markers GranzymeB, perforin and HLA-DR to be associated with an improved response (ypT0ypN0) to nCRT/CT in the patient’s cohort investigated. Further, a decrease in B lymphocyte (CD3+CD19+) count correlated with intermediate and impaired response while an elevated monocyte (CD14+CD33+) levels predicted a complete and intermediate (ypT1-4ypN0) response to nCRT/CT. On a tissue level, patients with a complete response displayed a decrease in the amount of infiltrating neutrophils as the immunoscore of CD15+ cells was significantly higher in patients’ biopsies compared to post-nCRT/CT surgical specimen, while in both, patients with complete and intermediate response an increase of natural killer (CD56+) cell density and GranzymeB expression was observed. Finally, no significant correlation was observed between peripheral blood and tissue immune marker expression.
To validate and expand these findings, a continuation of the analysis in an extended patient cohort is necessary. In addition, a detailed insight on the role of peripheral blood T cells and monocytes and their activation status is desirable. Further, in a follow-up trial, soluble activation markers/cytokines should be assayed, further distinguishing activated from resting or exhausted lymphocytes.
Analysing survival or fixation probabilities for a beneficial allele is a prominent task in the field of theoretical population genetics. Haldane's asymptotics is an approximation for the fixation probability in the case of a single beneficial mutant with small selective advantage in a large population.
In this thesis we analyse the interplay between genetic drift and directional selection and prove Haldane's asymptotics in different settings: For the fixation probability in Cannings models with moderate selection and for the survival probability of a slightly supercritical branching processes in a random environment.
In Chapter 3 we introduce a class of Cannings models with selection that allow for a forward and backward construction. In particular, a Cannings ancestral selection process can be defined for this class of models, which counts the number of potential parents and is in sampling duality to the forward frequency process. By means of this duality the probability of fixation can be expressed through the expectation of the Cannings ancestral selection process in stationarity. A control of this expectation yields that the fixation probability fulfils Haldane's asymptotics in a regime of moderately weak selection (Thm. 8).
In Chapter 4 we study the fixation probability of Cannings models in a regime of moderately strong selection. Here couplings of the frequency process of beneficial individuals with slightly supercritical Galton-Watson processes imply that the fixation probability is given by Haldane's asymptotics (Thm. 9).
Lastly, in Chapter 5 we consider slightly supercritical branching processes in an independent and identically distributed random environment and study the probability of survival as the number of expected offspring tends from above to one. We show that only if variance and expectation of the random offspring mean are of the same order the random environment has a non-trivial influence on the probability of survival, which results in a modification of Haldane's asymptotics. Out of the critical parameter regime the population goes extinct or survives with a probability that fulfils Haldane's asymptotics (Thm. 10).
The proof establishes an expression for the survival probability in terms of the shape function of the random offspring generating functions. This expression exhibits similarities to perpetuities known from a financial context. Consequently, we prove a limiting theorem for perpetuities with vanishing interest rates (Thm. 11).
This dissertation investigates several aspects of nominal modification in Ògè, an understudied language of Benue-congo spoken in Àkókó Northwest in Nigeria. The study focuses on two areas of nominal modification namely, Nominal Attributive Modifiers (NAMs) and the strategies of number marking.
The discussion and analysis of NAMs in the language reveal that Ògè belongs to the group of languages which lacks adjectives as a lexical category. NAMs are nominal and they
are derived from an existing lexical category namely, verbs. Predicative modifiers and NAMs have forms that are similar to the long and short forms (LF & SF) of adjectives in languages in which adjectives form an open class, for example, Russian, SerBoCroatian (BCS) and German.
Based on the Minimalist program, the dissertation reveals that unlike Russian, BCS, and German in which the discrepancies between the two forms of adjectives are related to definiteness (as in the case of BCS) and Agree, the discrepancies in the two forms of modifiers in Ògè are related to the fact that Ògè lacks adjectives and resorts into the nominalization of stative verbs in order to derive attributive forms. Using the analyses of adjuncts according to Truswell (2004) and Zeijlstra (2020), the dissertation proposes that NAMs are adjuncts in a modification structure while they are heads in possessive and genitive constructions. In addition, I propose that NAMs are attributive-only modifiers which modify the NP rather than
the DP.
The dissertation also investigates the strategies of number marking in Ògè. Unlike languages in which number marking is obligatory in the nominal domain (Hebrew, German, English),
nouns in Ògè are not always marked for number. This means that nouns in Ògè have general number. The general number nature of nouns in Ògè is like that of the nouns in modifying plural marking languages namely, Halkomelem, Korean, Yucatec Maya and Yorùbá. However, I argue that unlike the modifying plural marking languages in which the Number Phrase (NumP) is not projected, NumP is projected in the nominal spine of Ògè, claiming that NumP bears an
interpretable number feature which values the uninterpretable number feature in D. Argument in support of this comes from the interpretation of the noun in the presence of òtúro (an element which translates to the plural definite interpretation of the noun). I analyze òtúro as a plural determiner which occupies the D-head in the syntax of Ògè. The dissertation argues following Alexiadou (2019) that the locus of the occurrence of the marker of plurality in the nominal spine does not depend on its interpretation as a plural morpheme, rather, the locus of the occurrence of the element that is sensitive to the plural interpretation of the noun depends on other parameters which are definiteness, specificity and animacy.
Wir betrachten Algorithmen für strategische Kommunikation mit Commitment Power zwischen zwei rationalen Parteien mit eigenen Interessen. Wenn eine Partei Commitment Power hat, so legt sie sich auf eine Handlungsstrategie fest und veröffentlicht diese und kann nicht mehr davon abweichen.
Beide Parteien haben Grundinformation über den Zustand der Welt. Die erste Partei (S) hat die Möglichkeit, diesen direkt zu beobachten. Die zweite Partei (R) trifft jedoch eine Entscheidung durch die Wahl einer von n Aktionen mit für sie unbekanntem Typ. Dieser Typ bestimmt die möglicherweise verschiedenen, nicht-negativen Nutzwerte für S und R. Durch das Senden von Signalen versucht S, die Wahl von R zu beeinflussen. Wir betrachten zwei Grundszenarien: Bayesian Persuasion und Delegated Search.
In Bayesian Persuasion besitzt S Commitment Power. Hier legt sich S sich auf ein Signalschema φ fest und teilt dieses R mit. Es beschreibt, welches Signal S in welcher Situation sendet. Erst danach erfährt S den wahren Zustand der Welt. Nach Erhalt der durch φ bestimmten Signale wählt R eine der Aktionen. Das Wissen um φ erlaubt R die Annahmen über den Zustand der Welt in Abhängigkeit von den empfangenen Signalen zu aktualisieren. Dies muss S für das Design von φ berücksichtigen, denn R wird Empfehlungen nicht folgen, die S auf Kosten von R übervorteilen. Wir betrachten das Problem aus der Sicht von S und beschreiben Signalschemata, die S einen möglichst großen Nutzen garantieren.
Zuerst betrachten wir den Offline-Fall. Hier erfährt S den kompletten Zustand der Welt und schickt daraufhin ein Signal an R. Wir betrachten ein Szenario mit einer beschränkten Anzahl k ≤ n Signale. Mit nur k Signalen kann S höchstens k verschiedene Aktionen empfehlen. Für verschiedene symmetrische Instanzen beschreiben wir einen Polynomialzeitalgorithmus für die Berechnung eines optimalen Signalschemas mit k Signalen.
Weiterhin betrachten wir eine Teilmenge von Instanzen, in denen die Typen aus bekannten, unabhängigen Verteilungen gezogen werden. Wir beschreiben Polynomialzeitalgorithmen, die ein Signalschema mit k Signalen berechnen, das einen konstanten Approximationsfaktor im Verhältnis zum optimalen Signalschema mit k Signalen garantiert.
Im Online-Fall werden die Aktionstypen einzeln in Runden aufgedeckt. Nach Betrachtung der aktuellen Aktion sendet S ein Signal und R muss sofort durch Wahl oder Ablehnung der Aktion darauf reagieren. Der Prozess endet mit der Wahl einer Aktion. Andernfalls wird der nächste Aktionstyp aufgedeckt und vorherige Aktionen können nicht mehr gewählt werden. Als Richtwert für unsere Online-Signalschemata verwenden wir das beste Offline-Signalschema.
Zuerst betrachten wir ein Szenario mit unabhängigen Verteilungen. Wir zeigen, wie ein optimales Signalschema in Polynomialzeit bestimmt werden kann. Jedoch gibt es Beispiele, bei denen S – anders als im Offline-Fall – im Online-Fall keinen positiven Wert erzielen kann. Wir betrachten daraufhin eine Teilmenge der Instanzen, für die ein einfaches Signalschema einen konstanten Approximationsfaktor garantiert und zeigen dessen Optimalität.
Zusätzlich betrachten wir 16 verschiedene Szenarien mit unterschiedlichem Level an Information für S und R und unterschiedlichen Zielfunktionen für S und R unter der Annahme, dass die Aktionstypen a priori unbekannt sind, aber in uniform zufälliger Reihenfolge aufgedeckt werden. Für 14 Fälle beschreiben wir Signalschemata mit konstantem Approximationsfaktor. Solche Schemata existieren für die verbleibenden beiden Fälle nicht. Zusätzlich zeigen wir für die meistern Fälle, dass die beschriebenen Approximationsgarantien optimal sind.
Im zweiten Teil betrachten wir eine Online-Variante von Delegated Search. Hier besitzt nun R Commitment Power. Die Aktionstypen werden aus bekannten, unabhängigen Verteilungen gezogen. Bevor S die realisierten Typen beobachtet, legt R sich auf ein Akzeptanzschema φ fest. Für jeden Typen gibt φ an, mit welcher Wahrscheinlichkeit R diesen akzeptiert. Folglich versucht S, eine Aktion mit einem guten Typen für sich selbst zu finden, der von R akzeptiert wird. Da der Prozess online abläuft, muss S für jede Aktion einzeln entscheiden, diese vorzuschlagen oder zu verwerfen. Nur empfohlene Aktionen können von R ausgewählt werden.
Für den Offline-Fall sind für identisch verteilte Aktionstypen konstante Approximationsfaktoren im Vergleich zu einer Aktion mit optimalem Wert für R bekannt. Wir zeigen, dass R im Online-Fall im Allgemeinen nur eine Θ(1/n)-Approximation erzielen kann. Der Richtwert ist der erwartete Wert für eine eindimensionale Online-Suche von R.
Da für die Schranke eine exponentielle Diskrepanz in den Werten der Typen für S benötigt wird, betrachten wir parametrisierte Instanzen. Die Parameter beschränken die Werte für S bzw. das Verhältnis der Werte für R und S. Wir zeigen (beinahe) optimale logarithmische Approximationsfaktoren im Bezug auf diese Parameter, die von effizient berechenbaren Schemata garantiert werden.