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- underutilized legumes (1)
- underwater 3D scanning (1)
- unicompartmental knee arthroplasty (1)
- upper limb (1)
- upslope shift (1)
- urban (1)
- urinary calculi (1)
- urinary tract infections (1)
- usability (1)
- user identification (1)
- user-centered design (1)
- user-centred design (1)
- vDEUQUA2021 (1)
- vacuolar calcium sensor (1)
- vacuum processable (1)
- valence framing (1)
- vasculature (1)
- vasp (1)
- vegetation (1)
- venous infiltration (1)
- verbal n-back (1)
- vertebral pedicles (1)
- very long baseline interferometry (1)
- video games (1)
- video object detection (1)
- videooculography (1)
- vineyard terrace (1)
- viral genome packaging (1)
- viral miRNAs (1)
- virology (1)
- virtual non-contrast (1)
- vision (1)
- visual cue (1)
- visual memory (1)
- visual perception (1)
- visual processes (1)
- visual proteomics (1)
- vitamins (1)
- voltage gating (1)
- voluntary movement (1)
- waggle dance decoding (1)
- walkability (1)
- warhead (1)
- wax (1)
- weak statehood (1)
- wealth estimation (1)
- weight-bearing (1)
- well-balanced scheme (1)
- white blood cells (1)
- white matter disease (1)
- wild honey bees (1)
- wild-living honey bees (1)
- wildlife-friendly farming (1)
- women (1)
- workshop (1)
- wrong labelling (1)
- x-ray spectroscopy (1)
- yam (1)
- zentrale Spindel und Mittelkörper (1)
- zinc (1)
- zonulin (1)
- zoology (1)
- Übergangsmetall (1)
- Übergangsmetalldichalkogenide (1)
Institut
- Graduate School of Life Sciences (102)
- Theodor-Boveri-Institut für Biowissenschaften (77)
- Institut für Informatik (44)
- Institut für Psychologie (31)
- Institut für Geographie und Geologie (26)
- Institut für Pharmazie und Lebensmittelchemie (25)
- Neurologische Klinik und Poliklinik (24)
- Medizinische Klinik und Poliklinik I (22)
- Medizinische Klinik und Poliklinik II (22)
- Institut für Organische Chemie (21)
Schriftenreihe
- Frontiers in Psychology (2023) 14:1219915. https://doi.org/10.3389/fpsyg.2023.1219915 (1)
- Frontiers in Public Health (2023) 11:1153088. https://doi.org/10.3389/fpubh.2023.1153088 (1)
- International Archives of the History of Ideas / Archives internationales d’histoire des idées 242 (1)
- Methods in Molecular Biology; 2643 (1)
Sonstige beteiligte Institutionen
- Helmholtz Institute for RNA-based Infection Research (HIRI) (2)
- Interdisziplinäres Zentrum für Klinische Forschung (IZKF) (2)
- Klinische Studienzentrale (Universitätsklinikum) (2)
- Rudolf Virchow Center for Integrative and Translational Bioimaging, University of Würzburg (2)
- Anthropology Department University of Tennessee, Knoxville (1)
- CIBSS Centre for Integrative Biological Signalling Studies, University of Freiburg (1)
- Carl-Ludwig-Institut für Physiologie, Universität Leipzig (1)
- Chair of Experimental Biomedicine I (1)
- Charles University, Faculty of Mathematics and Physics, Ke Karlovu 5, 121 16 Prague, Czech Republic (1)
- DATE Lab, KITE Research Insititute, University Health Network, Toronto, Canada (1)
Contributors
(2023)
Can cultural studies attend to the problems of our globalized world? Or is this project of “engaged scholarship” too deeply rooted in the parochial terrain of the national?
This collection of essays – the first volume in the new JMU Cultural Studies publication series – attends to this vital yet difficult question. Based on joint seminars bringing together emerging scholars from Germany and India, the contributions confront “classic texts” from US-American, British, and Indian cultural studies with the specific concerns and contemporary perspectives of the authors.
The collection thus tests the potentials of the tradition to speak to the transnational as well as the national environments of the very present. Emphasis is placed on Marxist and feminist legacies, which are then projected into the domains of contemporary disability, food, and film studies.
Pulmonary artery embolism (PE) is a common condition and an even more common clinical suspect. The computed tomography pulmonary angiogram (CTPA) is the main medical imaging tool used to diagnose a suspected case of PE. To gain a better impression of the effects of a PE on the perfusion and hence the gas exchange, a functional imaging method is beneficial. One approach for functional imaging using radiation exposure is the generation of color-coded iodine perfusion maps acquired by Dual-Energy Computed Tomography (DECT), which enable the detection of perfusion defects in the pulmonary parenchyma. In contrast to the existing approach of DECT with iodine color-coded maps, the SElf-gated Non-Contrast-Enhanced FUnctional Lung (SENCEFUL) MRI technique offers the possibility to interpret perfusion maps without any radiation exposure or application of contrast agents. The measurement in SENCEFUL MRI can be performed during conditions of free breathing and without electrocardiogram triggering.
The purpose of this study was to determine whether PE can be diagnosed on the basis of visible perfusion defects in the perfusion maps of SENCEFUL MRI and in the iodine-coded maps of DECT and to compare the diagnostic performance of these methods. Both SENCEFUL-MRI and iodine distribution maps from DECT have been compared with the CTPA of ten patients with PE. Additionally, the functional images were compared with each other on a per-patient basis.
The iodine perfusion maps of DECT had a sensitivity of 84.2 % and specificity of 65.2 % for the diagnosis of PE. The SENCEFUL technique in MRI showed a sensitivity of 78.9 % and a specificity of 26.1 %. When comparing the whole lung depicted in both series of functional images, the main perfusion defect location matched in four of ten patients (40 %).
In conclusion, this work found that DECT iodine maps have higher sensitivity and specificity in the diagnosis of pulmonary embolism compared with SENCEFUL MRI.
Coxiella burnetii, a Gram negative obligate intracellular bacterium, is the causative
agent of Q fever. It has a world wide distribution and has been documented to
be capable of causing infections in several domestic animals, livestock species,
and human beings. Outbreaks of Q fever are still being observed in livestock
across animal farms in Europe, and primary transmission to humans still oc-
curs especially in animal handlers. Public health authorities in some countries
like Germany are required by law to report human acute cases denoting the
significance of the challenge posed by C. burnetii to public health.
In this thesis, I have developed a platform alongside methods to address the
challenges of genomic analyses of C. burnetii for typing purposes. Identification
of C. burnetii isolates is an important task in the laboratory as well as in the
clinics and genotyping is a reliable method to identify and characterize known
and novel isolates. Therefore, I designed and implemented several methods
to facilitate the genotyping analyses of C. burnetii genomes in silico via a web
platform. As genotyping is a data intensive process, I also included additional
features such as visualization methods and databases for interpretation and
storage of obtained results. I also developed a method to profile the resistome
of C. burnetii isolates using a machine learning approach. Data about antibiotic
resistance in C. burnetii are scarce majorly due to its lifestyle and the difficulty
of cultivation in laboratory media. Alternative methods that rely on homology
identification of resistance genes are also inefficient in C. burnetii, hence, I
opted for a novel approach that has been shown to be promising in other
bacteria species. The applied method relied on an artificial neural network as
well as amino acid composition of position specific scoring matrix profile for
feature extraction. The resulting model achieved an accuracy of ≈ 0.96 on test
data and the overall performance was significantly higher in comparison to
existing models. Finally, I analyzed two new C. burnetii isolates obtained from
an outbreak in Germany, I compared the genome to the RSA 493 reference
isolate and found extensive deletions across the genome landscape.
This work has provided a new digital infrastructure to analyze and character-
ize C. burnetii genomes that was not in existence before and it has also made a
significant contribution to the existing information about antibiotic resistance
genes in C. burnetii.
The discovery, heterologous expression, and characterization of channelrhodopsin-2 (ChR2) – a light-sensitive cation channel found in the green alga Chlamydomonas reinhardtii – led to the success of optogenetics as a powerful technology, first in neuroscience. ChR2 was employed to induce action potentials by blue light in genetically modified nerve cells. In optogenetics, exogenous photoreceptors are expressed in cells to manipulate cellular activity. These photoreceptors were in the beginning mainly microbial opsins. During nearly two decades, many microbial opsins and their mutants were explored for their application in neuroscience. Until now, however, the application of optogenetics to plant studies is limited to very few reports. Several optogenetic strategies for plant research were demonstrated, in which most attempts are based on non-opsin optogenetic tools. Opsins need retinal (vitamin A) as a cofactor to generate the functional protein, the rhodopsin. As most animals have eyes that contain animal rhodopsins, they also have the enzyme - a 15, 15'-Dioxygenase - for retinal production from food-supplied provitamin A (beta-carotene). However, higher plants lack a similar enzyme, making it difficult to express functional rhodopsins successfully in plants. But plant chloroplasts contain plenty of beta-carotene. I introduced a gene, coding for a 15, 15'-Dioxygenase with a chloroplast target peptide, to tobacco plants. This enzyme converts a molecule of β-carotene into two of all-trans-retinal. After expressing this enzyme in plants, the concentration of all-trans-retinal was increased greatly. The increased retinal concentration led to increased expression of several microbial opsins, tested in model higher plants. Unfortunately, most opsins were observed intracellularly and not in the plasma membrane. To improve their localization in the plasma membrane, some reported signal peptides were fused to the N- or C-terminal end of opsins. Finally, I helped to identify three microbial opsins -- GtACR1 (a light-gated anion channel), ChR2 (a light-gated cation channel), PPR (a light-gated proton pump) which express and work well in the plasma membrane of plants. The transgene plants were grown under red light to prevent activation of the expressed opsins. Upon illumination with blue or green light, the activation of these opsins then induced the expected change of the membrane potential, dramatically changing the phenotype of plants with activated rhodopsins.
This study is the first which shows the potential of microbial opsins for optogenetic research in higher plants, using the ubq10 promoter for ubiquitous expression. I expect this to be just the beginning, as many different opsins and tissue-specific promoters for selective expression now can be tested for their usefulness. It is further to be expected that the here established method will help investigators to exploit more optogenetic tools and explore the secrets, kept in the plant kingdom.
This thesis examines the electronic properties of two materials that promise the realization and observation of novel exotic quantum phenomena. For this purpose, angle-resolved photoemission forms the experimental basis for the investigation of the electronic properties. Furthermore, the magnetic order is investigated utilizing X-ray dichroism measurements.
First, the bulk and surface electronic structure of epitaxially grown HgTe in its three-dimensional topological insulator phase is investigated. In this study, synchrotron radiation is used to address the three-dimensional band structure and orbital composition of the bulk states by employing photon-energy-dependent and polarization-dependent measurements, respectively. In addition, the topological surface state is examined on in situ grown samples using a laboratory photon source. The resulting data provide a means to experimentally localize the bulk band inversion in momentum space and to evidence the momentum-dependent change in the orbital character of the inverted bulk states.
Furthermore, a rather new series of van der Waals compounds, (MnBi\(_2\)Te\(_4\))(Bi\(_2\)Te\(_3\))\(_n\), is investigated. First, the magnetic properties of the first two members of the series, MnBi\(_2\)Te\(_4\) and MnBi\(_4\)Te\(_7\), are studied via X-ray absorption-based techniques. The topological surface state on the two terminations of MnBi\(_4\)Te\(_7\) is analyzed using circular dichroic, photon-energy-dependent, and spin-resolved photoemission. The topological state on the (MnBi\(_2\)Te\(_4\))-layer termination shows a free-standing Dirac cone with its Dirac point located in the bulk band gap. In contrast, on the (Bi\(_2\)Te\(_3\))-layer termination the surface state hybridizes with the bulk valences states, forming a spectral weight gap, and exhibits a Dirac point that is buried within the bulk continuum. Lastly, the lack of unambiguous evidence in the literature showing a temperature-dependent mass gap opening in these magnetic topological insulators is discussed through MnBi\(_2\)Te\(_4\).
Monarch butterflies are famous for their annual long-distance migration. Decreasing temperatures and reduced daylight induce the migratory state in the autumn generation of monarch butterflies. Not only are they in a reproductive diapause, they also produce fat deposits to be prepared for the upcoming journey: Driven by their instinct to migrate, they depart from their eclosion grounds in the northern regions of the North American continent and start their southern journey to their hibernation spots in Central Mexico. The butterflies cover a distance of up to 4000 km across the United States. In the next spring, the same butterflies invert their preferred heading direction due to seasonal changes and start their northward spring migration. The spring migration is continued by three consecutive butterfly generations, until the animals repopulate the northern regions in North America as non-migratory monarch butterflies. The monarch butterflies’ migratory state is genetically and epigenetically regulated, including the directed flight behavior. Therefore, the insect’s internal compass system does not only have to encode the butterflies preferred, but also its current heading direction. However, the butterfly’s internal heading representation has to be matched to external cues, to avoid departing from its initial flight path and increasing its risk of missing its desired destination. During the migratory flight, visual cues provide the butterflies with reliable orientation information. The butterflies refer to the sun as their main orientation cue. In addition to the sun, the butterflies likely use the polarization pattern of the sky for orientation. The sky compass signals are processed within a region in the brain, termed the central complex (CX). Previous research on the CX neural circuitry of the monarch butterflies demonstrated that tangential central complex neurons (TL) carry the visual input information into the CX and respond to a simulated sun and polarized light. However, whether these cells process additional visual cues like the panoramic skyline is still unknown. Furthermore, little is known about how the migratory state affects visual cue processing. In addition to this, most experiments studying the monarch butterfly CX focused on how neurons process single visual cues. However, how combined visual stimuli are processed in the CX is still unknown.
This thesis is investigating the following questions:
1) How does the migratory state affect visual cue processing in the TL cells within the monarch butterfly brain?
2) How are multiple visual cues integrated in the TL cells?
3) How is compass information modulated in the CX?
To study these questions, TL neurons from both animal groups (migratory and non-migratory) were electrophysiologically characterized using intracellular recordings while presenting different simulated celestial cues and visual sceneries. I showed that the TL neurons of migratory butterflies are more narrowly tuned to the sun, possibly helping them in keeping a directed flight course during migration. Furthermore, I found that TL cells encode a panoramic skyline, suggesting that the CX network combines celestial and terrestrial information. Experiments with combined celestial stimuli revealed that the TL cells combine both cue information linearly. However, if exposing the animals to a simulated visual scenery containing a panoramic skyline and a simulated sun, the single visual cues are weighted differently. These results indicate that the CX’s input region can flexibly adapt to different visual cue conditions. Furthermore, I characterize a previously unknown neuron in the monarch butterfly CX which responds to celestial stimuli and connects the CX with other brain neuropiles. How this cell type affects heading direction encoding has yet to be determined.
Regional climate models (RCMs) are tools used to project future climate change at a regional scale. Despite their high horizontal resolution, RCMs are characterized by systematic biases relative to observations, which can result in unrealistic interpretations of future climate change signals. On the other hand, bias correction (BC) is a popular statistical post-processing technique applied to improve the usability of output from climate models. Like every other statistical technique, BC has its strengths and weaknesses. Hence, within the regional context of Germany, and for temperature and precipitation, this study is dedicated to the assessment of the impact of different BC techniques on the RCM output. The focuses are on the impact of BC on the RCM’s statistical characterization, and physical consistency defined as the spatiotemporal consistency between the bias-corrected variable and the simulated physical mechanisms governing the variable, as well as the correlations between the bias-corrected variable and other (simulated) climate variables. Five BC techniques were applied in adjusting the systematic biases in temperature and precipitation RCM outputs. The BC techniques are linear scaling, empirical quantile mapping, univariate quantile delta mapping, multivariate quantile delta mapping that considers inter-site dependencies, and multivariate quantile delta mapping that considers inter-variable dependencies (MBCn). The results show that each BC technique adds value in reducing the biases in the statistics of the RCM output, though the added value depends on several factors such as the temporal resolution of the data, choice of RCM, climate variable, region, and the metric used in evaluating the BC technique. Further, the raw RCMs reproduced portions of the observed modes of atmospheric circulation in Western Europe, and the observed temperature, and precipitation meteorological patterns in Germany. After the BC, generally, the spatiotemporal configurations of the simulated meteorological patterns as well as the governing large-scale mechanisms were reproduced.
However, at a more localized spatial scale for the individual meteorological patterns, the BC changed the simulated co-variability of some grids, especially for precipitation. Concerning the co-variability among the variables, a physically interpretable positive correlation was found between temperature and precipitation during boreal winter in both models and observations. For most grid boxes in the study domain and on average, the BC techniques that do not adjust inter-variable dependency did not notably change the simulated correlations between the climate variables. However, depending on the grid box, the (univariate) BC techniques tend to degrade the simulated temporal correlations between temperature and precipitation. Further, MBCn which adjusts biases in inter-variable dependency has the skill to improve the correlations between the simulated variables towards observations.
Characterization of binding properties of ephedrine derivatives to human alpha-1-acid glycoprotein
(2023)
Most drugs, especially those with acidic or neutral moieties, are bound to the plasma protein albumin, whereas basic drugs are preferentially bound to human alpha-1-acid glycoprotein (AGP). The protein binding of the long-established drugs ephedrine and pseudoephedrine, which are used in the treatment of hypotension and colds, has so far only been studied with albumin. Since in a previous study a stereoselective binding of ephedrine and pseudoephedrine to serum but not to albumin was observed, the aim of this study was to check whether the enantioselective binding behavior of ephedrine and pseudoephedrine, in addition to the derivatives methylephedrine and norephedrine, is due to AGP and to investigate the influence of their different substituents and steric arrangement. Discontinuous ultrafiltration was used for the determination of protein binding. Characterization of ligand-protein interactions of the drugs was obtained by saturation transfer difference nuclear magnetic resonance spectroscopy. Docking experiments were performed to analyze possible ligand-protein interactions. The more basic the ephedrine derivative is, the higher is the affinity to AGP. There was no significant difference in the binding properties between the individual enantiomers and the diastereomers of ephedrine and pseudoephedrine.
Spontaneous brain activity builds the foundation for human cognitive processing during external demands. Neuroimaging studies based on functional magnetic resonance imaging (fMRI) identified specific characteristics of spontaneous (intrinsic) brain dynamics to be associated with individual differences in general cognitive ability, i.e., intelligence. However, fMRI research is inherently limited by low temporal resolution, thus, preventing conclusions about neural fluctuations within the range of milliseconds. Here, we used resting-state electroencephalographical (EEG) recordings from 144 healthy adults to test whether individual differences in intelligence (Raven’s Advanced Progressive Matrices scores) can be predicted from the complexity of temporally highly resolved intrinsic brain signals. We compared different operationalizations of brain signal complexity (multiscale entropy, Shannon entropy, Fuzzy entropy, and specific characteristics of microstates) regarding their relation to intelligence. The results indicate that associations between brain signal complexity measures and intelligence are of small effect sizes (r ∼ 0.20) and vary across different spatial and temporal scales. Specifically, higher intelligence scores were associated with lower complexity in local aspects of neural processing, and less activity in task-negative brain regions belonging to the default-mode network. Finally, we combined multiple measures of brain signal complexity to show that individual intelligence scores can be significantly predicted with a multimodal model within the sample (10-fold cross-validation) as well as in an independent sample (external replication, N = 57). In sum, our results highlight the temporal and spatial dependency of associations between intelligence and intrinsic brain dynamics, proposing multimodal approaches as promising means for future neuroscientific research on complex human traits.
Non-aureus staphylococci (NAS) are ubiquitous bacteria in livestock-associated environments where they may act as reservoirs of antimicrobial resistance (AMR) genes for pathogens such as Staphylococcus aureus. Here, we tested whether housing conditions in pig farms could influence the overall AMR-NAS burden. Two hundred and forty porcine commensal and environmental NAS isolates from three different farm types (conventional, alternative, and organic) were tested for phenotypic antimicrobial susceptibility and subjected to whole genome sequencing. Genomic data were analysed regarding species identity and AMR gene carriage. Seventeen different NAS species were identified across all farm types. In contrast to conventional farms, no AMR genes were detectable towards methicillin, aminoglycosides, and phenicols in organic farms. Additionally, AMR genes to macrolides and tetracycline were rare among NAS in organic farms, while such genes were common in conventional husbandries. No differences in AMR detection existed between farm types regarding fosfomycin, lincosamides, fusidic acid, and heavy metal resistance gene presence. The combined data show that husbandry conditions influence the occurrence of resistant and multidrug-resistant bacteria in livestock, suggesting that changing husbandry practices may be an appropriate means of limiting the spread of AMR bacteria on farms.
Aim
Global warming is assumed to restructure mountain insect communities in space and time. Theory and observations along climate gradients predict that insect abundance and richness, especially of small‐bodied species, will increase with increasing temperature. However, the specific responses of single species to rising temperatures, such as spatial range shifts, also alter communities, calling for intensive monitoring of real‐world communities over time.
Location
German Alps and pre‐alpine forests in south‐east Germany.
Methods
We empirically examined the temporal and spatial change in wild bee communities and its drivers along two largely well‐protected elevational gradients (alpine grassland vs. pre‐alpine forest), each sampled twice within the last decade.
Results
We detected clear abundance‐based upward shifts in bee communities, particularly in cold‐adapted bumble bee species, demonstrating the speed with which mobile organisms can respond to climatic changes. Mean annual temperature was identified as the main driver of species richness in both regions. Accordingly, and in large overlap with expectations under climate warming, we detected an increase in bee richness and abundance, and an increase in small‐bodied species in low‐ and mid‐elevations along the grassland gradient. Community responses in the pre‐alpine forest gradient were only partly consistent with community responses in alpine grasslands.
Main Conclusion
In well‐protected temperate mountain regions, small‐bodied bees may initially profit from warming temperatures, by getting more abundant and diverse. Less severe warming, and differences in habitat openness along the forested gradient, however, might moderate species responses. Our study further highlights the utility of standardized abundance data for revealing rapid changes in bee communities over only one decade.
Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. The best method to prevent CRC is with a colonoscopy. During this procedure, the gastroenterologist searches for polyps. However, there is a potential risk of polyps being missed by the gastroenterologist. Automated detection of polyps helps to assist the gastroenterologist during a colonoscopy. There are already publications examining the problem of polyp detection in the literature. Nevertheless, most of these systems are only used in the research context and are not implemented for clinical application. Therefore, we introduce the first fully open-source automated polyp-detection system scoring best on current benchmark data and implementing it ready for clinical application. To create the polyp-detection system (ENDOMIND-Advanced), we combined our own collected data from different hospitals and practices in Germany with open-source datasets to create a dataset with over 500,000 annotated images. ENDOMIND-Advanced leverages a post-processing technique based on video detection to work in real-time with a stream of images. It is integrated into a prototype ready for application in clinical interventions. We achieve better performance compared to the best system in the literature and score a F1-score of 90.24% on the open-source CVC-VideoClinicDB benchmark.
Cancer is one of the leading causes of death worldwide, with currently assessed chances to develop at least one cancer in a lifetime for about 20%. High cases rates and mortality require the development of new anticancer therapies and treatment strategies. Another important concern is toxicity normally associated with conventional therapy methods, such as chemo- and radiotherapy. Among many proposed antitumoral agents, oncolytic viruses are still one of the promising and fast-developing fields of research with almost a hundred studies published data on over 3000 patients since the beginning of the new millennia.
Among all oncolytic viruses, the Vaccinia virus is arguably one of the safest, with an extremely long and prominent history of use, since it was the one and only vaccine used in the Smallpox Eradication Program in the 1970s. Interestingly enough, it was the first oncolytic virus proven to have tumor tropism in vitro and in vivo in laboratory settings, and this year we can celebrate an unofficial 100th anniversary since the publication of the fact. While being highly immunogenic, Vaccinia virus DNA replication takes place in the cytoplasm of the infected cell, and virus genes never integrate into the host genome. Another advantage of using Vaccinia as an oncolytic agent is its high genome capacity, which allows inserting up to 25 kbps of exogenous genes, thus allowing to additionally arm the virus against the tumor.
Oncolytic virus action consists of two major parts: direct oncolysis and immune activation against the tumor, with the latter being the key to successful treatment. To this moment, preclinical research data are mostly generated in immunocompromised xenograft models, which have hurdles to be properly translated for clinical use. In the first part of the current study, fourteen different recombinant Vaccinia virus strains were tested in two different murine tumor cell lines and corresponding immunocompetent animal models. We found, that Copenhagen backbone Vaccinia viruses while being extremely effective in cell culture, do not show significant oncolytic efficacy in animals. In contrast, several of the LIVP backbone viruses tested (specifically, IL-2 expressing ones) have little replication ability when compared to the Copenhagen strain, but are able to significantly delay tumor growth and prolong survival of the treated animals. We have also noted cytokine related toxicity of the animals to be mouse strain specific.
We have also tested the virus with the highest therapeutic benefit in combination with romidepsin and cyclophosphamide. While the combination with histone deacetylase inhibitor romidepsin did not result in therapeutic benefit in our settings, the addition of cyclophosphamide significantly improved the efficacy of the treatment, at the same time reducing cytokine-associated toxicity of the IL-2 expressing virus.
In the second part of the work, we analyzed the ability of adipose-derived mesenchymal stem cells to serve as a carrier for the oncolytic Vaccinia virus. We showed for the first time that the cells can be infected with the virus and can generate virus progeny. They are also able to survive for a substantially long time and, when injected into the bloodstream of tumor-bearing animals, produce the virus that is colonizing the tumor. Analysis of the systemic distribution of the cells after injection revealed that infected and uninfected cells are not distributed in the same manner, possibly suggesting that infected cells are getting recognized and cleared by an impaired immune system of athymic mice faster than non-infected cells. Despite this, injection of virus-loaded adipose-derived mesenchymal stem cells to human A549 tumor-bearing xenograft mice resulted in rapid tumor regression and reduced virus-related side effects of the treatment when compared to injection of the naked virus.
In conclusion, we have tested two different approaches to augmenting oncolytic Vaccinia virus therapy. First, the combination of recombinant Vaccinia virus expressing IL-2 and cyclophosphamide showed promising results in a syngeneic mouse model, despite the low permissivity of murine cells to the virus. Second, we loaded the oncolytic Vaccinia virus into mesenchymal stem cells and have proven that they can potentially serve as a vehicle for the virus.
In a recent study, we showed in an in vitro murine cerebellar microvascular endothelial cell (cerebEND) model as well as in vivo in rats that Tumor-Treating Fields (TTFields) reversibly open the blood–brain barrier (BBB). This process is facilitated by delocalizing tight junction proteins such as claudin-5 from the membrane to the cytoplasm. In investigating the possibility that the same effects could be observed in human-derived cells, a 3D co-culture model of the BBB was established consisting of primary microvascular brain endothelial cells (HBMVEC) and immortalized pericytes, both of human origin. The TTFields at a frequency of 100 kHz administered for 72 h increased the permeability of our human-derived BBB model. The integrity of the BBB had already recovered 48 h post-TTFields, which is earlier than that observed in cerebEND. The data presented herein validate the previously observed effects of TTFields in murine models. Moreover, due to the fact that human cell-based in vitro models more closely resemble patient-derived entities, our findings are highly relevant for pre-clinical studies.
Physicians play an important role in adapting to and mitigating the adverse health effects of the unfolding climate and ecological crises. To fully harness this potential, future physicians need to acquire knowledge, values, skills, and leadership attributes to care for patients presenting with environmental change-related conditions and to initiate and propel transformative change in healthcare and other sectors of society including, but not limited to, the decarbonization of healthcare systems, the transition to renewable energies and the transformation of transport and food systems. Despite the potential of Planetary Health Education (PHE) to support medical students in becoming agents of change, best-practice examples of mainstreaming PHE in medical curricula remain scarce both in Germany and internationally. The process of revising and updating the Medical Licensing Regulations and the National Competency-based Catalog of Learning Objectives for Medical Education in Germany provided a window of opportunity to address this implementation challenge. In this article, we describe the development and content of national Planetary Health learning objectives for Germany. We anticipate that the learning objectives will stimulate the development and implementation of innovative Planetary Health teaching, learning and exam formats in medical schools and inform similar initiatives in other health professions. The availability of Planetary Health learning objectives in other countries will provide opportunities for cross-country and interdisciplinary exchange of experiences and validation of content, thus supporting the consolidation of Planetary Health learning objectives and the improvement of PHE for all health professionals globally.
Honeybees (Apis mellifera) need their fine sense of taste to evaluate nectar and pollen sources. Gustatory receptors (Grs) translate taste signals into electrical responses. In vivo experiments have demonstrated collective responses of the whole Gr-set. We here disentangle the contributions of all three honeybee sugar receptors (AmGr1-3), combining CRISPR/Cas9 mediated genetic knock-out, electrophysiology and behaviour. We show an expanded sugar spectrum of the AmGr1 receptor. Mutants lacking AmGr1 have a reduced response to sucrose and glucose but not to fructose. AmGr2 solely acts as co-receptor of AmGr1 but not of AmGr3, as we show by electrophysiology and using bimolecular fluorescence complementation. Our results show for the first time that AmGr2 is indeed a functional receptor on its own. Intriguingly, AmGr2 mutants still display a wildtype-like sugar taste. AmGr3 is a specific fructose receptor and is not modulated by a co-receptor. Eliminating AmGr3 while preserving AmGr1 and AmGr2 abolishes the perception of fructose but not of sucrose. Our comprehensive study on the functions of AmGr1, AmGr2 and AmGr3 in honeybees is the first to combine investigations on sugar perception at the receptor level and simultaneously in vivo. We show that honeybees rely on two gustatory receptors to sense all relevant sugars.
Covalent crosslinking of DNA strands provides a useful tool for medical, biochemical and DNA nanotechnology applications. Here we present a light-induced interstrand DNA crosslinking reaction using the modified nucleoside 5-phenylethynyl-2’-deoxyuridine (\(^{Phe}\)dU). The crosslinking ability of \(^{Phe}\)dU was programmed by base pairing and by metal ion interaction at the Watson-Crick base pairing site. Rotation to intrahelical positions was favored by hydrophobic stacking and enabled an unexpected photochemical alkene-alkyne [2+2] cycloaddition within the DNA duplex, resulting in efficient formation of a \(^{Phe}\)dU-dimer after short irradiation times of a few seconds. A \(^{Phe}\)dU dimer-containing DNA was shown to efficiently bind a helicase complex, but the covalent crosslink completely prevented DNA unwinding, suggesting possible applications in biochemistry or structural biology.
[\(^{223}\)Ra]RaCl\(_2\) and [\(^{224}\)Ra]RaCl\(_2\) are bone seekers, emitting high LET, and short range (< 100 μm) alpha-particles. Both radionuclides show similar decay properties; the total alpha energies are comparable (\(^{223}\)Ra: ≈28 MeV, \(^{224}\)Ra: ≈26 MeV). [\(^{224}\)Ra]RaCl\(_2\) has been used from the mid-1940s until 1990 for treating different bone and joint diseases with activities of up to approximately 50 MBq [\(^{224}\)Ra]RaCl\(_2\). In 2013 [\(^{223}\)Ra]RaCl\(_2\) obtained marketing authorization by the FDA and by the European Union for the treatment of metastatic prostate cancer with an activity to administer of 0.055 MBq per kg body weight for six cycles. For intravenous injections in humans a model calculation using the biokinetic model of ICRP67 shows a ratio of organ absorbed dose coefficients (\(^{224}\)Ra:\(^{223}\)Ra) between 0.37 (liver) and 0.97 except for the kidneys (2.27) and blood (1.57). For the red marrow as primary organ-at-risk, the ratio is 0.57. The differences are mainly caused be the differing half-lives of the decay products of both radium isotopes. Both radionuclides show comparable DNA damage patterns in peripheral blood mononuclear cells after internal ex-vivo irradiation. Data on the long-term radiation-associated side effects are only available for treatment with [\(^{224}\)Ra]RaCl\(_2\). Two epidemiological studies followed two patient groups treated with [\(^{224}\)Ra]RaCl\(_2\) for more than 25 years. One of them was the “Spiess study”, a cohort of 899 juvenile patients who received several injections of [\(^{224}\)Ra]RaCl\(_2\) with a mean specific activity of 0.66 MBq/kg. Another patient group of ankylosing spondylitis patients was treated with 10 repeated intravenous injections of [\(^{224}\)Ra]RaCl\(_2\), 1 MBq each, 1 week apart. In total 1,471 of these patients were followed-up in the “Wick study”. In both studies, an increased cancer mortality by leukemia and solid cancers was observed. Similar considerations on long-term effects likely apply to [\(^{223}\)Ra]RaCl\(_2\) as well since the biokinetics are similar and the absorbed doses in the same range. However, this increased risk will most likely not be observed due to the much shorter life expectancy of prostate cancer patients treated with [\(^{223}\)Ra]RaCl\(_2\).
Objectives
Although the vast majority of COVID-19 cases are treated in primary care, patients' experiences during home isolation have been little studied. This study aimed to explore the experiences of patients with acute COVID-19 and to identify challenges after the initial adaptation of the German health system to the pandemic (after first infection wave from February to June 2020).
Methods
A mixed-method convergent design was used to gain a holistic insight into patients experience. The study consisted of a cross-sectional survey, open survey answers and semi-structured telephone interviews. Descriptive analysis was performed on quantitative survey answers. Between group differences were calculated to explore changes after the first infection wave. Qualitative thematic analysis was conducted on open survey answers and interviews. The results were then compared within a triangulation protocol.
Results
A total of 1100 participants from all German states were recruited by 145 general practitioners from August 2020 to April 2021, 42 additionally took part in qualitative interviews. Disease onset varied from February 2020 to April 2021. After the first infection wave, more participants were tested positive during the acute disease (88.8%; 95.2%; P < 0.001). Waiting times for tests (mean 4.5 days, SD 4.1; 2.7days, SD 2.6, P < 0.001) and test results (mean 2.4 days, SD 1.9; 1.8 days, SD 1.3, P < 0.001) decreased. Qualitative results indicated that the availability of repeated testing and antigen tests reduced insecurities, transmission and related guilt. Although personal consultations at general practices increased (6.8%; 15.5%, P < 0.001), telephone consultation remained the main mode of consultation (78.5%) and video remained insignificant (1.9%). The course of disease, the living situation and social surroundings during isolation, access to health care, personal resilience, spirituality and feelings of guilt and worries emerged as themes influencing the illness experience. Challenges were contact management and adequate provision of care during home isolation. A constant contact person within the health system helped against feelings of care deprivation, uncertainty and fear.
Conclusions
Our study highlights that home isolation of individuals with COVID-19 requires a holistic approach that considers all aspects of patient care and effective coordination between different care providers.
Two-dimensional (2D) topological insulators are a new class of materials with properties that are
promising for potential future applications in quantum computers. For example, stanene represents
a possible candidate for a topological insulator made of Sn atoms arranged in a hexagonal
lattice. However, it has a relatively fragile low-energy spectrum and sensitive topology. Therefore,
to experimentally realize stanene in the topologically non-trivial phase, a suitable substrate
that accommodates stanene without compromising these topological properties must be found.
A heterostructure consisting of a SiC substrate with a buffer layer of adsorbed group-III elements
constitutes a possible solution for this problem. In this work, 2D adatom systems of Al and In
were grown epitaxially on SiC(0001) and then investigated structurally and spectroscopically by
scanning tunneling microscopy (STM) and photoelectron spectroscopy.
Al films in the high coverage regime \( (\Theta_{ML}\approx2\) ML\( ) \) exhibit unusually large, triangular- and
rectangular-shaped surface unit cells. Here, the low-energy electron diffraction (LEED)
pattern is brought into accordance with the surface topography derived from STM. Another Al
reconstruction, the quasi-one-dimensional (1D) Al phase, exhibits a striped surface corrugation,
which could be the result of the strain imprinted by the overlayer-substrate lattice mismatch.
It is suggested that Al atoms in different surface areas can occupy hexagonal close-packed and
face-centered cubic lattice sites, respectively, which in turn lead to close-packed transition regions
forming the stripe-like corrugations. On the basis of the well-known herringbone reconstruction
from Au(111), a first structural model is proposed, which fits well to the structural data from
STM. Ultimately, however, thermal treatments of the sample could not generate lower coverage
phases, i.e. in particular, a buffer layer structure.
Strong metallic signatures are found for In high coverage films \( (\Theta_{ML}\approx3\) to \(2\) ML\() \) by
scanning tunneling spectroscopy (STS) and angle-resolved photoelectron spectroscopy (ARPES),
which form a \( (7\times7) \), \( (6\times4\sqrt{3}) \), and \( (4\sqrt{3}\times4\sqrt{3}) \) surface reconstruction. In all these In phases
electrons follow the nearly-free electron model. Similar to the Al films, thermal treatments could
not obtain the buffer layer system.
Surprisingly, in the course of this investigation a triangular In lattice featuring a \( (1\times1) \)
periodicity is observed to host massive Dirac-like bands at \( K/K^{\prime} \) in ARPES. Based on this
strong electronic similarity with graphene at the Brillouin zone boundary, this new structure is
referred to as \textit{indenene}. An extensive theoretical analysis uncovers the emergence of an electronic
honeycomb network based on triangularly arranged In \textit{p} orbitals. Due to strong atomic spin-orbit
coupling and a comparably small substrate-induced in-plane inversion symmetry breaking this
material system is rendered topologically non-trivial. In indenene, the topology is intimately
linked to a bulk observable, i.e., the energy-dependent charge accumulation sequence within the
surface unit cell, which is experimentally exploited in STS to confirm the non-trivial topological
character. The band gap at \( K/K^{\prime} \), a signature of massive Dirac fermions, is estimated by
ARPES to approximately 125 meV. Further investigations by X-ray standing wave, STM, and
LEED confirm the structural properties of indenene. Thus, this thesis presents the growth and
characterization of the novel quantum spin Hall insulator material indenene.
In this in-vitro study, teeth were imaged using photoacoustic tomography (PAT), cone-beam computed tomography (CBCT), and micro-computed tomography (µ-CT). The study had aim: to identify the best wavelength for PAT images to determine the accuracy of the three imaging methods, and to determine whether PAT images of teeth can achieve acceptable reconstruction quality.
Aging is known to be a risk factor for structural abnormalities and functional decline in the nervous system. Characterizing age-related changes is important to identify putative pathways to overcome deleterious effects and improve life quality for the elderly. In this study, the peripheral nervous system of 24-month-old aged C57BL/6 mice has been investigated and compared to 12-month-old adult mice. Aged mice showed pathological alterations in their peripheral nerves similar to nerve biopsies from elderly human individuals, with nerve fibers showing demyelination and axonal damage. Such changes were lacking in nerves of adult 12-month-old mice and adult, non-aged humans. Moreover, neuromuscular junctions of 24-month-old mice showed increased denervation compared to adult mice. These alterations were accompanied by elevated numbers of macrophages in the peripheral nerves of aged mice. The neuroinflammatory conditions were associated with impaired myelin integrity and with a decline of nerve conduction properties and muscle strength in aged mice.
To determine the pathological impact of macrophages in the aging mice, macrophage depletion was performed in mice by oral administration of CSF-1R specific kinase (c-FMS) inhibitor PLX5622 (300 mg/kg body weight), which reduced the number of macrophages in the peripheral nerves by 70%. The treated mice showed attenuated demyelination, less muscle denervation and preserved muscle strength. This indicates that macrophage-driven inflammation in the peripheral nerves is partially responsible for the age-related neuropathy in mice.
Based on previous observations that systemic inflammation can accelerate disease progression in mouse models of neurodegenerative diseases, it was hypothesized that systemic inflammation can exacerbate the peripheral neuropathy found in aged mice. To investigate this hypothesis, aged C57BL/6 mice were intraperitoneally injected with a single dose of lipopolysaccharide (LPS; 500 μg/kg body weight) to induce systemic inflammation by mimicking bacterial infection, mostly via activation of Toll-like receptors (TLRs). Altered endoneurial macrophage activation, highlighted by Trem2 downregulation, was found in LPS injected aged mice one month after injection. This was accompanied by a so far rarely observed form of axonal perturbation, i.e., the occurrence of “dark axons” characterized by a damaged cytoskeleton and an increased overall electron density of the axoplasm. At the same time, however, LPS injection reduced demyelination and muscle denervation in aged mice. Interestingly, TREM2 deficiency in aged mice led to similar changes to LPS injection. This suggests that LPS injection likely mitigates aging-related demyelination and muscle denervation via Trem2 downregulation.
Taken together, this study reveals the role of macrophage-driven inflammation as a pathogenic mediator in age-related peripheral neuropathy, and that targeting macrophages might be an option to mitigate peripheral neuropathies in aging individuals. Furthermore, this study shows that systemic inflammation may be an ambivalent modifier of age-related nerve damage, leading to a distinct type of axonal perturbation, but in addition to functionally counteracting, dampened demyelination and muscle denervation. Translationally, it is plausible to assume that tipping the balance of macrophage polarization to one direction or the other may determine the functional outcome in the aging peripheral nervous system of the elderly.
As central components of life, DNA and RNA encode the genetic information. However, RNA performs several functions that exceed the competences stated in the ‘central dogma of life‘. RNAs undergo extensive post-transcriptional processing like chemical modifications. Among all classes of RNA, tRNAs are the most extensively modified. Their modifications are chemically diverse and vary from simple methylations (e.g. m3C, m6A) to more complex residues, like isopentenyl group (e.g. i6A, hypermodifications: e.g. ms2i6A) or even amino acids (e.g. t6A). Depending on their location within the overall structure, modifications can have an impact on tRNA stability and structure, as well as affinity for the ribosome and translation efficiency and fidelity. Given the importance of tRNA modifications new tools are needed for their detection and to study their recognition by proteins and enzymatic transformations.
The chemical synthesis of these naturally occurring tRNA modifications as phosphoramidite building blocks is a prerequisite to incorporate the desired modification via solid-phase synthesis into oligonucleotides. With the help of the m3C, (ms2)i6A, and t6A oligonucleotides, the importance and impact of tRNA modifications was investigated in this thesis. To this end, the role of METTL8 as the methyltransferase responsible for the installation of the methyl group at C32 for mt-tRNAThr and mt-tRNASer(UCN) was resolved. Thereby, the respective adenosine modification on position 37 is essential for the effectiveness of the enzyme. Besides, by means of NMR analysis, CD spectroscopy, thermal denaturation experiments, and native page separation, the impact of m3C32 on the structure of the tRNA ASLs was shown. The modification appeared to fine-tune the tRNA structure to optimize mitochondrial translation. To investigate the regulation of the dynamic modification pathway of m3C, demethylation assays were performed with the modified tRNA-ASLs and the (α-KG)- and Fe(II)-dependent dioxygenase ALKBH1 and ALKHB3. A demethylation activity of ALKBH3 on the mt-tRNAs was observed, even though it has so far only been described as a cytoplasmic enzyme. Whether this is physiologically relevant and ALKBH3 present a mitochondrial localization needs further validation. In addition, ALKBH1 was confirmed to not be able to demethylate m3C on mt-tRNAs, but indications for a deprenylation and exonuclease activity were found. Furthermore, the aforementioned naturally occurring modifications were utilized to find analytical tools that can determine the modification levels by DNAzymes, which cleave RNA in the presence of a specific modification. Selective DNA enzymes for i6A, as well as the three cytidine isomers m3C, m4C, and m5C have been identified and characterized.
Besides the naturally occurring tRNA modifications, the investigation on artificially modified nucleosides is also part of this thesis. Nucleosides with specific properties for desired applications can be created by modifying the scaffold of native nucleosides.
During the pandemic, the potential of antiviral nucleoside analogues was highlighted for the treatment of the SARS-CoV-2 infection. For examinations of the potential drug-candidate Molnupiravir, the N4-hydroxycytidine phosphoramidite building block was synthesized and incorporated into several RNA oligonucleotides. A two-step model for the NHC-induced mutagenesis of SARS-CoV-2 was proposed based on RNA elongation, thermal denaturation, and cryo-EM experiments using the modified RNA strands with the recombinant SARS-CoV-2 RNA-dependent RNA polymerase. Two tautomeric forms of NHC enable base pairing with guanosine in the amino and with adenosine in the imino form, leading to error catastrophe after the incorporation into viral RNA. These findings were further corroborated by thermal melting curve analysis and NMR spectroscopy of the NHC-containing Dickerson Drew sequence. In conclusion, the anti-amino form in the NHC-G base pair was assigned by NMR analysis using a 15N-labeld NHC building block incorporated into the Dickerson Drew sequence.
This thesis also addressed the synthesis of a 7-deazaguanosine crosslinker with a masked aldehyde as a diol linker for investigations of DNA-protein interactions. The diol functional group can be unmasked to release the reactive aldehyde, which can specifically form a covalent bond with amino acids Lys or Arg within the protein complex condensin. The incorporation of the synthesized phosphoramidite and triphosphate building blocks were shown and the functionality of the PCR product containing the crosslinker was demonstrated by oxidation and the formation of a covalent bond with a fluorescein label.
The development of assays that detect changes in this methylation pattern of m6A could provide new insights into important biological processes. In the last project of this thesis, the influence of RNA methylation states on the structural properties of RNA was analyzed and a fluorescent nucleoside analog (8-vinyladenosine) as molecular tools for such assays was developed. Initial experiments with the fluorescent nucleoside analog N6-methyl-8-vinyladenosine (m6v8A) were performed and revealed a strong fluorescence enhancement of the free m6v8A nucleoside by the installation of the vinyl moiety at position 8.
Overall, this thesis contributes to various research topics regarding the application of naturally occurring and artificial nucleoside analogues. Starting with the chemical synthesis of RNA and DNA modifications, this thesis has unveiled several open questions regarding the dynamic (de-)methylation pathway of m3C and the mechanism of action of molnupiravir through in-depth analysis and provided the basis for further investigations of the protein complex condensin, and a new fluorescent nucleoside analog m6v8A.
Ibrutinib serves as an efficient second-line therapy in relapsed/refractory mantle cell lymphoma. However, resistance to the BTK inhibitor results in a poor prognosis for patients. Since the mechanisms leading to resistance in initially responding tumor cells are poorly understood, this work aimed to decipher acquired features in ibrutinib-surviving cells of a sensitive mantle cell lymphoma cell line and evaluate these potential therapeutic targets in ibrutinib-treated mantle cell lymphoma.
Time-resolved single-cell RNA sequencing was performed to track the transcriptomic evolution of REC-1 cells across 6 and 48 hours of treatment. Single-cell analysis uncovered a subpopulation of REC-1 with potentially greater aggressiveness and survival advantage by benefiting from interaction with the tumor microenvironment. Upregulation of B-cell receptor genes, elevated surface antigen expression of CD52 and metabolic rewiring to higher dependence on oxidative phosphorylation were identified as further potential resistance features of ibrutinib-surviving cells. RNA sequencing after prolonged incubation corroborated the increase in CD52 and oxidative phosphorylation as dominant characteristics of the cells surviving the 4-day treatment, highlighting their potential as therapeutic targets in combination with ibrutinib treatment. Concomitant use of ibrutinib and the oxidative phosphorylation inhibitor IACS-010759 increased toxicity compared to ibrutinib monotherapy due to higher apoptosis and greater inhibition of proliferation. For anti-CD52 therapy, a consecutive approach with ibrutinib pretreatment followed by incubation of surviving cells with a CD52 monoclonal antibody and human serum yielded a synergistic effect, as ibrutinib-surviving mantle cell lymphoma cells were rapidly depleted by complement-dependent cytotoxicity. Regarding the effects on primary tumor cells from mantle cell lymphoma patients, ibrutinib induced upregulation of CD52 in some cases, and increased toxicity of anti-CD52 therapy was observed in ibrutinib-sensitive patient samples after pretreatment with the BTK inhibitor. The likely favorable in vivo efficacy of an anti-CD52 therapy might therefore be restricted to a subgroup of mantle cell lymphoma patients, also in view of the associated side effects.
Given the need for new therapeutic options in mantle cell lymphoma to overcome resistance to ibrutinib, this work highlights the potentially beneficial use of an oxidative phosphorylation inhibitor as add-on therapy. In addition, the findings suggest to further assess the value of anti-CD52 therapy as consolidation to ibrutinib in ibrutinib-sensitive patients with elevated CD52 surface levels on tumor cells to target resistant clones and minimize risk of minimal residual disease and relapse.
The present thesis introduce different synthetic strategies towards a variety of polycyclic aromatic dicarboximides (PADIs) with highly interesting and diverse properties. This included tetrachlorinated, tetraaryloxy- and tetraaryl-substituted dicarboximides, fused acceptor‒donor(‒acceptor) structures as well as sterically shielded rylene and nanographene dicarboximides. The properties and thus the disclosure of structure‒property relationships of the resulting dyes were investigated in detail among others with UV‒vis absorption spectroscopy, fluorescence spectroscopy, cyclic voltammetry and single crystal X-ray analysis. For instance, some of the fused and substituted PADIs offer strong absorption of visible and near infrared (NIR) light, NIR emission and low-lying LUMO levels. On the contrary, intriguing optical features in the solid-state characterize the rylene dicarboximides with their bulky N-substituents, while the devised sterically enwrapped nanographene host offered remarkable complexation capabilities in solution.
The light-gated cation channel Channelrhodopsin-2 was discovered and characterized in 2003. Already in 2005/2006 five independent groups demonstrated that heterologous expression of Channelrhodopsin-2 is a highly useful and simply applicable method for depolarizing and thereby activating nerve cells. The application of Channelrhodopsin-2 revolutionized neuroscience research and the method was then called optogenetics. In recent years more and more light-sensitive proteins were successfully introduced as “optogenetic tools”, not only in neuroscience. Optogenetic tools for neuronal excitation are well developed with many different cation-conducting wildtype and mutated channelrhodopsins, whereas for inhibition of neurons in the beginning (2007) only hyperpolarizing ion pumps were available. The later discovered light-activated anion channels (anion channelrhodopsins) can be useful hyperpolarizers, but only at low cytoplasmic anion concentration. For this thesis, I optimized CsR, a proton-pumping rhodopsin from Coccomyxa subellipsoidea, which naturally shows a robust expression in Xenopus laevis oocytes and plant leaves. I improved the expression and therefore the photocurrent of CsR about two-fold by N-terminal modification to the improved version CsR2.0, without altering the proton pump function and the action spectrum. A light pulse hyperpolarised the mesophyll cells of CsR2.0-expressing transgenic tobacco plants (N. tabacum) by up to 20 mV from the resting membrane potential of -150 to -200 mV. The robust heterologous expression makes CsR2.0 a promising optogenetic tool for hyperpolarization in other organisms as well. A single R83H point-mutation converted CsR2.0 into a light-activated (passive) proton channel with a reversal potential close to the Nernst potential for intra-/extra-cellular H+ concentration. This light-gated proton channel is expected to become a further useful optogenetic tool, e.g. for analysis of pH-regulation in cells or the intercellular space. Ion pumps as optogenetic tools require high expression levels and high light intensity for efficient pump currents, whereas long-term illumination may cause unwanted heating effects. Although anion channelrhodopsins are effective hyperpolarizing tools in some cases, their effect on neuronal activity is dependent on the cytoplasmic chloride concentration which can vary among neurons. In nerve cells, increased conductance for potassium terminates the action potential and K+ conductance underlies the resting membrane potential in excitable cells. Therefore, several groups attempted to synthesize artificial light-gated potassium channels but 2 all of these published innovations showed serious drawbacks, ranging from poor expression over lacking reversibility to poor temporal precision. A highly potassium selective light-sensitive silencer of action potentials is needed. To achieve this, I engineered a light-activated potassium channel by the genetic fusion of a photoactivated adenylyl cyclase, bPAC, and a cAMP-gated potassium channel, SthK. Illumination activates bPAC to produce cAMP and the elevated cAMP level opens SthK. The slow diffusion and degradation of cAMP makes this construct a very light-sensitive, long-lasting inhibitor. I have successfully developed four variants with EC50 to cAMP ranging from 7 over 10, 21, to 29 μM. Together with the original fusion construct (EC50 to cAMP is 3 μm), there are five different light- (or cAMP-) sensitive potassium channels for researchersto choose, depending on their cell type and light intensity needs.
Alzheimer´s disease (AD) is a neurodegenerative disease and the most common form of dementia with still no preventive or curative treatment. Besides several risk factors, age is one of the major risks for AD and with an aging society, there is an urgent need for disease modifying agents. The strategy to address only one target within the intertwined network of AD failed so far.
Natural products especially the phytochemical flavonoids, which are poly-phenolic natural products, have shown great potential as disease modifying agents against neurodegenerative disorders like Alzheimer´s disease (AD) with activities even in vivo. Flavonoids are produced by many plants and the native Californian plant Eriodictyon californicum is particularly rich in flavonoids. One of the major flavonoids of E. californicum is sterubin, a very potent agent against oxidative stress and inflammation, two hallmarks and drivers of AD and neurodegeneration. Herein, racemic sterubin was synthesized and separated into its pure (R)- and (S)-enantiomer by chiral HPLC. The pure enantiomers showed comparable neuroprotection in vitro with no significant differences. The stereoisomers were configurationally stable in methanol, but fast racemization was observed in culture medium. Moreover, the activity of sterubin was investigated in vivo, in an AD mouse model. Sterubin showed a significant positive impact on short- and long-term memory at low dosages.
A promising concept for the increase of activity of single flavonoids is hybridization with aromatic acids like cinnamic or ferulic acids. Hybridization of the natural products taxifolin and silibinin with cinnamic acid led to an overadditive effect of these compounds in phenotypic screening assays related to neurodegeneration and AD. Because there are more potent agents as taxifolin or silibinin, the hybrids were further developed, and different flavonoid cinnamic acid hybrids were synthesized. The connection between flavonoids and cinnamic acid was achieved by an amide instead of a labile ester to improve the stability towards hydrolysis to gain better “druggability” of the compounds. To investigate the oxidation state of the C-ring of the flavonoid part, the dehydro analogues of the respective hybrids were also synthesized. The compounds show neuroprotection against oxytosis, ferroptosis and ATP-depletion in the murine hippocampal cell line HT22. While no overall trend within the flavanones compared to the flavones could be assigned, the taxifolin and the quercetin derivative were the most active compounds in course of all assays. The quercetin derivate even shows greater activity than the taxifolin derivate in every assay. As desired no hydrolysis product was found in cellular uptake experiments after 4h, whereas different metabolites were found. The last part of this work focused on synthetic bioisoteres of the natural product curcumin. Due to the drawbacks of curcumin and flavonoids arising from poor pharmacokinetics, rapid metabolism and sometimes instability in aqueous medium, we have examined the biological activity of azobenzene compounds designed as bioisoteres of curcumin, carrying the pharmacophoric catechol group of flavonoids. These bioisosteres exceeded their parent compounds in counteracting intracellular oxidative stress, neuroinflammation and amyloid-beta aggregation. By incorporating an azobenzene moiety and the isosteric behaviour to the natural parent compounds, these compounds may act as molecular tools for further investigation towards the molecular mode of action of natural products.
Background
Chronic stress is detrimental to health, and children and young people have had to cope with significantly more stress since the start of the COVID-19 pandemic. In particular, stress at school and in relation to learning is a major problem in this age group. Studies in Germany have indicated that the pandemic has led to a reduced quality of life (QoL) and an increased risk for psychiatric disorders in children and adolescents. Schools are an ideal setting for interventions against stress, which is one of the strongest predictors for the development of psychosocial problems. The present study seeks to address stress by means of a short prevention training programme in schools, including emotion regulation, mindfulness, and self-compassion. In addition to information material for self-study, students should have the opportunity to actively deal with the topic of stress and develop coping strategies within a short space of time. In contrast to very long stress reduction programmes that often last several weeks, the programme is delivered in just 90 min.
Methods
The effectiveness of the short and economical prevention programme LessStress will be examined in a cluster-randomised controlled trial (RCT) encompassing 1894 students. At several measurement time points, students from two groups (intervention and control) will be asked about their subjectively perceived stress levels, among other aspects. Due to the clustered nature of the data, mainly multilevel analyses will be performed.
Discussion
In Germany, there are no nationwide universal prevention programmes for students against stress in schools, and this gap has become more evident since the outbreak of the pandemic. Universal stress prevention in schools may be a starting point to promote resilience. By dealing with stress in a healthy way, mental health can be strengthened and maintained. Moreover, to reach at-risk students at an early stage, we advocate for a stronger networking between child psychiatry and schools.
Analysis of cerebral glucose metabolism following experimental subarachnoid hemorrhage over 7 days
(2023)
Little is known about changes in brain metabolism following SAH, possibly leading towards secondary brain damage. Despite sustained progress in the last decade, analysis of in vivo acquired data still remains challenging. The present interdisciplinary study uses a semi-automated data analysis tool analyzing imaging data independently from the administrated radiotracer. The uptake of 2-[18F]Fluoro-2-deoxy-glucose ([\(^{18}\)F]FDG) was evaluated in different brain regions in 14 male Sprague–Dawley rats, randomized into two groups: (1) SAH induced by the endovascular filament model and (2) sham operated controls. Serial [\(^{18}\)F]FDG-PET measurements were carried out. Quantitative image analysis was performed by uptake ratio using a self-developed MRI-template based data analysis tool. SAH animals showed significantly higher [\(^{18}\)F]FDG accumulation in gray matter, neocortex and olfactory system as compared to animals of the sham group, while white matter and basal forebrain region showed significant reduced tracer accumulation in SAH animals. All significant metabolic changes were visualized from 3 h, over 24 h (day 1), day 4 and day 7 following SAH/sham operation. This [\(^{18}\)F]FDG-PET study provides important insights into glucose metabolism alterations following SAH—for the first time in different brain regions and up to day 7 during course of disease.
Due to the global aging society and the enormous global incidence and prevalence rates that will result in the coming years, Alzheimer's Dementia (AD) represents a growing challenge for the health care system. The pathogenesis, which is unclear in parts, the chronic progression of AD, which often lasts for years, as well as insufficient diagnostic and therapeutic options complicate an adequate psychotherapeutic and medical approach to the disease. To date, AD is also considered an incurable disease.
Therefore, it is essential to gain deeper insights into the early detection or even prevention of AD. Consideration of prodromal syndromes such as Mild Cognitive Impairment (MCI) can provide significant evidence about high-risk groups for AD progression and differentiate cognitively "normal" aging individuals from those with pathological cognitive decline. Thus, for example, functional Near-Infrared Spectroscopy (fNIRS) imaging helps identify early neurodegenerative processes. In contrast, potential risk factors and predictors of later-onset clinical symptoms of MCI and AD can most often be revealed and quantified via the use of neuropsychiatric test batteries.
The present thesis consists of four studies and aimed to assess and describe the pathological cognitive decline in a sample of elderly study participants (age: ≥ 70 years; N = 604 at baseline) of the longitudinal, observational, and prospective "Vogel Study" from Würzburg, Germany, who were primarily healthy at baseline, over two measurement time points approximately 3 years apart, to differentiate between healthy and diseased study participants and to define predictors of MCI/AD and longitudinal study dropout.
Studies 1 and 2 differentiated healthy study participants from MCI patients based on the baseline hemodynamic response of the parietal cortex recorded by fNIRS during the processing of a paradigm (here: Angle Discrimination Task [ADT]) for visual-spatial processing performance. Neuronal hypoactivity was found in the MCI patients, with both healthy study participants and MCI patients showing higher superior and right hemispheric activation. MCI patients had more difficulty resolving the paradigm. Thus, no evidence of possible compensatory mechanisms was uncovered in the MCI patients.
Study 3 first defined the four latent factors declarative memory, working memory, attention, and visual-spatial processing based on structural equation model (SEM) calculations of the sample using adequate measurement (in-)variant confirmatory factor models from the baseline assessment to the first of a total of two follow-up assessments after approximately 3 years. This allowed a dimensional assessment of pathological cognitive decline versus classificatory-categorical assignment (healthy/diseased) of the sample. In addition, the superiority of the latent factor approach over a composite approach was demonstrated. Next, using a mixed-model approach, predictive analyses were calculated for the prediction of latent factors at first follow-up by baseline risk factors. The sex of study participants proved to be the best predictor of cognitive change in all the cognitive domains, with females performing better than men in the memory domains. Specifically, for declarative memory, older age predicted lower performance regardless of sex. Additional predictive evidence emerged for low serum levels of Brain-Derived Neurotrophic Factor (BDNF) on lower attention performance and higher depression symptoms on lower visual-spatial processing performance.
Study 4 further reported baseline predictors of study dropout at first follow-up. Cognitive performance, as defined in Study 3 using the four latent cognitive factors, was a predictor of study dropout for cognitive decline in the domains of declarative memory, attention, and visual-spatial processing. Conspicuous dementia screening on the Mini-Mental Status Examination (MMSE) also predicted dropout.
Overall, both the use of fNIRS imaging to detect visual-spatial processing performance in the parietal cortex during applying ADT and the dimensional perspective of the neuropsychiatric test battery in the context of prediction and dropout analyses were found to be suitable for early detection research of MCI and AD. Finally, the results will be interpreted in the overall context and implications, limitations, and perspectives will be discussed.
PRC1 serves as a microtubule-bundling protein and is a potential therapeutic target for lung cancer
(2023)
Protein regulator of cytokinesis 1 (PRC1) is a microtubule-associated protein with essential roles in mitosis and cytokinesis. Furthermore, the protein is highly expressed in several cancer types which is correlated with aneuploidy and worse patient outcome. In this study it was investigated, whether PRC1 is a potential target for lung cancer as well as its possible nuclear role.
Elevated PRC1 expression was cell cycle-dependent with increasing levels from S-phase to G2/M-phase of the cell cycle. Thereby, PRC1 localized at the nucleus during interphase and at the central spindle and midbody during mitosis and cytokinesis. Genome-wide expression profiling by RNA sequencing of ectopically expressed PRC1 resulted in activation of the p53 pathway. A mutant version of PRC1, that is unable to enter the nucleus, induced the same gene sets as wildtype PRC1, suggesting that PRC1 has no nuclear-specific functions in lung cancer cells. Finally, PRC1 overexpression leads to proliferation defects, multi-nucleation, and enlargement of cells which was directly linked to microtubule-bundling within the cytoplasm.
For analysis of the requirement of PRC1 in lung cancer, different inducible cell lines were generated to deplete the protein by RNA interference (RNAi) in vitro. PRC1 depletion caused proliferation defects and cytokinesis failures with increased numbers of bi- and multi-nucleated cells compared to non-induced lung cancer cells. Importantly, effects in control cells were less severe as in lung cancer cells. Finally, p53 wildtype lung cancer cells became senescent, whereas p53 mutant cells became apoptotic upon PRC1 depletion. PRC1 is also required for tumorigenesis in vivo, which was shown by using a mouse model for non-small cell lung cancer driven by oncogenic K-RAS and loss of p53. Here, lung tumor area, tumor number, and high-grade tumors were significantly reduced in PRC1 depleted conditions by RNAi.
In this study, it is shown that PRC1 serves as a microtubule-bundling protein with essential roles in mitosis and cytokinesis. Expression of the protein needs to be tightly regulated to allow unperturbed proliferation of lung cancer cells. It is suggested that besides phosphorylation of PRC1, the nuclear localization might be a protective mechanism for the cells to prevent perinuclear microtubule-bundling. In conclusion, PRC1 could be a potential target of lung cancer as mono therapy or in combination with a chemotherapeutic agent, like cisplatin, which enhanced the negative effects on proliferation of lung cancer cells in vitro.
This thesis identifies how the printing conditions for a high-resolution additive manufacturing technique, melt electrowriting (MEW), needs to be adjusted to process electroactive polymers (EAPs) into microfibers. Using EAPs based on poly(vinylidene difluoride) (PVDF), their ability to be MEW-processed is studied and expands the list of processable materials for this technology.
The anaerobe Fusobacterium nucleatum (F. nucleatum) is an important member of the oral microbiome but can also colonize different tissues of the human body. In particular, its association with multiple human cancers has drawn much attention.
This association has prompted growing interest into the interaction of F. nucleatum with cancer, with studies focusing primarily on the host cells. At the same time, F. nucleatum itself remains poorly understood, which includes its transcriptomic architecture but also gene regulation such as global stress responses that typically enable survival of bacteria in new environments. An important aspect of such regulatory networks is the post-transcriptional regulation, which is entirely unknown in F. nucleatum. This paucity extents to any knowledge on small regulatory RNAs (sRNAs), despite their important role as post-transcriptional regulators of the bacterial physiology.
Investigating the above stated aspects is further complicated by the fact that F. nucleatum is phylogenetically distant from all other bacteria, displays very limited genetic tractability and lacks genetic tools for dissecting gene function.
This leaves many open questions on basic gene regulation in F. nucleatum, such as if the bacterium combines transcriptional and post-transcriptional regulation in its adaptation to a changing environment.
To begin answering this question, this works elucidated the transcriptomic landscape of F. nucleatum by performing differential RNA-seq (dRNA-seq). Conducted for five representative strains of all F. nucleatum subspecies and the closely related F. periodonticum, the analysis globally uncovered transcriptional start sites (TSS), 5'untranslated regions (UTRs) and improved the existing annotation. Importantly, the dRNA-seq analysis also identified a conserved suite of sRNAs specific to Fusobacterium.
The development of five genetic tools enabled further investigations of gene functions in F. nucleatum. These include vectors that enable the expression of different fluorescent proteins, inducible gene expression and scarless gene deletion in addition to transcriptional and translational reporter systems.
These tools enabled the dissection of a Sigma E response and uncovered several commonalities with its counterpart in the phylogenetically distant Proteobacteria. The similarities include the upregulation of genes involved in membrane homeostasis but also a Simga E-dependent regulatory sRNA. Surprisingly, oxygen was found to activated Sigma E in F. nucleatum contrasting the typical role of the factor in envelope stress.
The non-coding Sigma E-dependent sRNA, named FoxI, was shown to repress the translation of several envelope proteins which represented yet another parallel to the envelope stress response in Proteobacteria.
Overall, this work sheds light on the RNA landscape of the cancer-associated bacterium leading to the discovery of a conserved global stress response consisting of a coding and a non-coding arm. The development of new genetic tools not only aided the latter discovery but also provides the means for further dissecting the molecular and infection biology of this enigmatic bacterium.
Background
The role of cytokines in the pathophysiology, diagnosis, and prognosis of small fiber neuropathy (SFN) is incompletely understood. We studied expression profiles of selected pro- and anti-inflammatory cytokines in RNA from white blood cells (WBC) of patients with a medical history and a clinical phenotype suggestive for SFN and compared data with healthy controls.
Methods
We prospectively recruited 52 patients and 21 age- and sex-matched healthy controls. Study participants were characterized in detail and underwent complete neurological examination. Venous blood was drawn for routine and extended laboratory tests, and for WBC isolation. Systemic RNA expression profiles of the pro-inflammatory cytokines interleukin (IL)-1ß, IL-2, IL-8, tumor necrosis factor-alpha (TNF) and the anti-inflammatory cytokines IL-4, IL-10, transforming growth factor beta-1 (TGF) were analyzed. Protein levels of IL-2, IL-8, and TNF were measured in serum of patients and controls. Receiver operating characteristic (ROC)-curve analysis was used to determine the accuracy of IL-2, IL-8, and TNF in differentiating patients and controls. To compare the potential discriminatory efficacy of single versus combined cytokines, equality of different AUCs was tested.
Results
WBC gene expression of IL-2, IL-8, and TNF was higher in patients compared to healthy controls (IL-2: p = 0.02; IL-8: p = 0.009; TNF: p = 0.03) and discriminated between the groups (area under the curve (AUC) ≥ 0.68 for each cytokine) with highest diagnostic accuracy reached by combining the three cytokines (AUC = 0.81, sensitivity = 70%, specificity = 86%). Subgroup analysis revealed the following differences: IL-8 and TNF gene expression levels were higher in female patients compared to female controls (IL-8: p = 0.01; TNF: p = 0.03). The combination of TNF with IL-2 and TNF with IL-2 and IL-8 discriminated best between the study groups. IL-2 was higher expressed in patients with moderate pain compared to those with severe pain (p = 0.02). Patients with acral pain showed higher IL-10 gene expression compared to patients with generalized pain (p = 0.004). We further found a negative correlation between the relative gene expression of IL-2 and current pain intensity (p = 0.02). Serum protein levels of IL-2, IL-8, and TNF did not differ between patients and controls.
Conclusions
We identified higher systemic gene expression of IL-2, IL-8, and TNF in SFN patients than in controls, which may be of potential relevance for diagnostics and patient stratification.
Platelets play an important role in the body, since they are part of the hemostasis
system, preventing and stopping blood loss. Nevertheless, when platelet or
coagulation system function are impaired, uncontrolled bleedings but also irreversible
vessel occlusion followed by ischemic tissue damage can occur. Therefore,
understanding platelet function and activation, mechanisms which are controlled by a
variety of platelet membrane receptors and other factors is important to advance out
knowledge of hemostasis and platelet malfunction. For a complete picture of platelet
function and their modulating behavior it is desired to be able to quantify receptor
distributions and interactions of these densely packed molecular ensembles in the
membrane. This challenges scientists for several reasons. Most importantly, platelets
are microscopically small objects, challenging the spatial resolution of conventional
light microscopy. Moreover, platelet receptors are highly abundant on the membrane
so even super-resolution microscopy struggles with quantitative receptor imaging on
platelets.
With Expansion microscopy (ExM), a new super-resolution technique was introduced,
allowing resolutions to achieve super-resolution without using a super-resolution
microscope, but by combining a conventional confocal microscopy with a highly
processed sample that has been expanded physically. In this doctoral thesis, I
evaluated the potential of this technique for super-resolution platelet imaging by
optimizing the sample preparation process and establishing an imaging and image
processing pipeline for dual-color 3D images of different membrane receptors. The
analysis of receptor colocalization using ExM demonstrated a clear superiority
compared to conventional microscopy. Furthermore, I identified a library of
fluorescently labeled antibodies against different platelet receptors compatible with
ExM and showed the possibility of staining membrane receptors and parts of the
cytoskeleton at the same time.
This work introduced the reader to all relevant fields to tap into an ultrasound-based state of charge estimation and provides a blueprint for the procedure to achieve and test the fundamentals of such an approach. It spanned from an in-depth electrochemical characterization of the studied battery cells over establishing the measurement technique, digital processing of ultrasonic transmission signals, and characterization of the SoC dependent property changes of those signals to a proof of concept of an ultrasound-based state of charge estimation.
The State of the art & theoretical background chapter focused on the battery section on the mechanical property changes of lithium-ion batteries during operation. The components and the processes involved to manufacture a battery cell were described to establish the fundamentals for later interrogation. A comprehensive summary of methods for state estimation was given and an emphasis was laid on mechanical methods, including a critical review of the most recent research on ultrasound-based state estimation. Afterward, the fundamentals of ultrasonic non-destructive evaluation were introduced, starting with the sound propagation modes in isotropic boundary-free media, followed by the introduction of boundaries and non-isotropic structure to finally approach the class of fluid-saturated porous media, which batteries can be counted to. As the processing of the ultrasonic signals transmitted through lithium-ion battery cells with the aim of feature extraction was one of the main goals of this work, the fundamentals of digital signal processing and methods for the time of flight estimation were reviewed and compared in a separate section.
All available information on the interrogated battery cell and the instrumentation was collected in the Experimental methods & instrumentation chapter, including a detailed step-by-step manual of the process developed in this work to create and attach a sensor stack for ultrasonic interrogation based on low-cost off-the-shelf piezo elements.
The Results & discussion chapter opened with an in-depth electrochemical and post-mortem interrogation to reverse engineer the battery cell design and its internal structure. The combination of inductively coupled plasma-optical emission spectrometry and incremental capacity analysis applied to three-electrode lab cells, constructed from the studied battery cell’s materials, allowed to identify the SoC ranges in which phase transitions and staging occur and thereby directly links changes in the ultrasonic signal properties with the state of the active materials, which makes this work stand out among other studies on ultrasound-based state estimation. Additional dilatometer experiments were able to prove that the measured effect in ultrasonic time of flight cannot originate from the thickness increase of the battery cells alone, as this thickness increase is smaller and in opposite direction to the change in time of flight. Therefore, changes in elastic modulus and density have to be responsible for the observed effect.
The construction of the sensor stack from off-the-shelf piezo elements, its electromagnetic shielding, and attachment to both sides of the battery cells was treated in a subsequent section. Experiments verified the necessity of shielding and its negligible influence on the ultrasonic signals. A hypothesis describing the metal layer in the pouch foil to be the transport medium of an electrical coupling/distortion between sending and receiving sensor was formulated and tested. Impedance spectroscopy was shown to be a useful tool to characterize the resonant behavior of piezo elements and ensure the mechanical coupling of such to the surface of the battery cells. The excitation of the piezo elements by a raised cosine (RCn) waveform with varied center frequency in the range of 50 kHz to 250 kHz was studied in the frequency domain and the influence of the resonant behavior, as identified prior by impedance spectroscopy, on waveform and frequency content was evaluated to be uncritical. Therefore, the forced oscillation produced by this excitation was assumed to be mechanically coupled as ultrasonic waves into the battery cells.
The ultrasonic waves transmitted through the battery cell were recorded by piezo elements on the opposing side. A first inspection of the raw, unprocessed signals identified the transmission of two main wave packages and allowed the identification of two major trends: the time of flight of ultrasonic wave packages decreases with the center frequency of the RCn waveform, and with state of charge. These trends were to be assessed further in the subsequent sections. Therefore, methods for the extraction of features (properties) from the ultrasonic signals were established, compared, and tested in a dedicated section. Several simple and advanced thresholding methods were compared with envelope-based and cross-correlation methods to estimate the time of flight (ToF). It was demonstrated that the envelope-based method yields the most robust estimate for the first and second wave package. This finding is in accordance with the literature stating that an envelope-based method is best suited for dispersive, absorptive media [204], to which lithium-ion batteries are counted. Respective trends were already suggested by the heatmap plots of the raw signals vs. RCn frequency and SoC. To enable such a robust estimate, an FIR filter had to be designed to preprocess the transmitted signals and thereby attenuate frequency components that verifiably lead to a distorted shape of the envelope.
With a robust ToF estimation method selected, the characterization of the signal properties ToF and transmitted energy content (EC) was performed in-depth. A study of cycle-to-cycle variations unveiled that the signal properties are affected by a long rest period and the associated relaxation of the multi-particle system “battery cell” to equilibrium. In detail, during cycling, the signal properties don’t reach the same value at a given SoC in two subsequent cycles if the first of the two cycles follows a long rest period. In accordance with the literature, a break-in period, making up for more than ten cycles post-formation, was observed. During this break-in period, the mechanical properties of the system are said to change until a steady state is reached [25]. Experiments at different C-rate showed that ultrasonic signal properties can sense the non-equilibrium state of a battery cell, characterized by an increasing area between charge and discharge curve of the respective signal property vs. SoC plot. This non-equilibrium state relaxes in the rest period following the discharge after the cut-off voltage is reached. The relaxation in the rest period following the charge is much smaller and shows little C-rate dependency as the state is prepared by constant voltage charging at the end of charge voltage. For a purely statistical SoC estimation approach, as employed in this work, where only instantaneous measurements are taken into account and the historic course of the measurement is not utilized as a source of information, the presence of hysteresis and relaxation leads to a reduced estimation accuracy. Future research should address this issue or even utilize the relaxation to improve the estimation accuracy, by incorporating historic information, e.g., by using the derivative of a signal property as an additional feature. The signal properties were then tested for their correlation with SoC as a function of RCn frequency. This allowed identifying trends in the behavior of the signal properties as a function of RCn frequency and C-rate in a condensed fashion and thereby enabled to predict the frequency range, about 50 kHz to 125 kHz, in which the course of the signal properties is best suited for SoC estimation.
The final section provided a proof of concept of the ultrasound-based SoC estimation, by applying a support vector regression (SVR) to before thoroughly studied ultrasonic signal properties, as well as current and battery cell voltage. The included case study was split into different parts that assessed the ability of an SVR to estimate the SoC in a variety of scenarios. Seven battery cells, prepared with sensor stacks attached to both faces, were used to generate 14 datasets. First, a comparison of self-tests, where a portion of a dataset is used for training and another for testing, and cross-tests, which use the dataset of one cell for training and the dataset of another for testing, was performed. A root mean square error (RMSE) of 3.9% to 4.8% SoC and 3.6% to 10.0% SoC was achieved, respectively. In general, it was observed that the SVR is prone to overestimation at low SoCs and underestimation at high SoCs, which was attributed to the pronounced hysteresis and relaxation of the ultrasonic signal properties in this SoC ranges. The fact that higher accuracy is achieved, if the exact cell is known to the model, indicates that a variation between cells exists. This variation between cells can originate from differences in mechanical properties as a result of production variations or from differences in manual sensor placement, mechanical coupling, or resonant behavior of the ultrasonic sensors. To mitigate the effect of the cell-to-cell variations, a test was performed, where the datasets of six out of the seven cells were combined as training data, and the dataset of the seventh cell was used for testing. This reduced the spread of the RMSE from (3.6 - 10.0)% SoC to (5.9 – 8.5)% SoC, respectively, once again stating that a databased approach for state estimation becomes more reliable with a large data basis. Utilizing self-tests on seven datasets, the effect of additional features on the state estimation result was tested. The involvement of an additional feature did not necessarily improve the estimation accuracy, but it was shown that a combination of ultrasonic and electrical features is superior to the training with these features alone. To test the ability of the model to estimate the SoC in unknown cycling conditions, a test was performed where the C-rate of the test dataset was not included in the training data. The result suggests that for practical applications it might be sufficient to perform training with the boundary of the use cases in a controlled laboratory environment to handle the estimation in a broad spectrum of use cases.
In comparison with literature, this study stands out by utilizing and modifying off-the-shelf piezo elements to equip state-of-the-art lithium-ion battery cells with ultrasonic sensors, employing a range of center frequencies for the waveform, transmitted through the battery cell, instead of a fixed frequency and by allowing the SVR to choose the frequency that yields the best result. The characterization of the ultrasonic signal properties as a function of RCn frequency and SoC and the assignment of characteristic changes in the signal properties to electrochemical processes, such as phase transitions and staging, makes this work unique. By studying a range of use cases, it was demonstrated that an improved SoC estimation accuracy can be achieved with the aid of ultrasonic measurements – thanks to the correlation of the mechanical properties of the battery cells with the SoC.
The focus of this thesis was to investigate how PCL and PLGA react to the heat exposure that comes with the MEW process over a defined timespan.
To assess the thermal stability of PCL during MEW over 25 d, an automated collection of fibers has been used to determine the CTS on each day of heating for three different temperatures. PCL is exceptionally stable over 25 d at 75 °C, whereas for 85 °C and 95 °C a slight upward trend during the last 10 d could be observed, which is an indication for thermal degradation. Same trend could be observed for diameter of fibers produced at a fixed collector speed. For all temperatures, CTS during the first 5 d decreased due to inhomogeneities of the melt. Physical analysis of the fibers by XRD and mechanical testing showed no significant changes.
To investigate the chemical details of the thermal durability, PCL was artificially aged over 25 d at 75 °C, 85 °C and 95 °C. Data from GPC analysis and rheology revealed that PCL is degrading steadily at all three temperatures. Combined with GC-MS analysis, two different mechanisms for degradation could be observed: random chain scission and unzipping. Additional GPC experiment using a mixture of PCL and a fluorescence labelled PCL showed that PCL was undergoing ester interchange reactions, which could explain its thermal stability.
PLGA was established successfully as material for MEW. GPC results revealed that PLGA degraded heavily in the one-hour preheating period. To reduce the processing temperature, ATEC was blended with PLGA in three mixtures. This slowed down degradation and a processing window of 6 h could be established. Mechanical testing with fibers produced with PLGA and all three blends was performed. PLGA was very brittle, whereas the blends showed an elastic behavior. This could be explained by ester interchange reactions that formed a loosely crosslinked network with ATEC.
The original habitat of native European honey bees (\(Apis\) \(mellifera\)) is forest, but currently there is a lack of data about the occurrence of wild honey bee populations in Europe. Prior to being kept by humans in hives, honey bees nested as wild species in hollow trees in temperate forests. However, in the 20th century, intensification of silviculture and agriculture with accompanying losses of nesting sites and depletion of food resources caused population declines in Europe. When the varroa mite (Varroa destructor), an invasive ectoparasite from Asia, was introduced in the late 1970s, wild honey bees were thought to be eradicated in Europe. Nevertheless, sporadic, mostly anecdotal, reports from ornithologists or forest ecologists indicated that honey bee colonies still occupy European forest areas. In my thesis I hypothesize that near-natural deciduous forests may provide sufficient large networks of nesting sites representing refugia for wild-living honey bees. Using two special search techniques, i.e. the tracking of flight routes of honey bee foragers (the “beelining” method) and the inspection of known cavity trees, I collected for the first time data on the occurrence and density of wild-living honey bees in forest areas in Germany (CHAPTER 3). I found wild-living honey bee colonies in the Hainich national park at low densities in two succeeding years. In another forest region, I checked known habitat trees containing black woodpecker cavities for occupation by wild-living honey bee colonies. It turned out that honey bees regularly use these cavities and occur in similar densities in both studied forest regions, independent of the applied detection method. Extrapolating these densities to all German forest areas, I estimate several thousand wild-living colonies in Germany that potentially interact in different ways with the forest environment. I conclude that honey bees regularly colonize forest areas in Germany and that networks of mapped woodpecker cavities offer unique possibilities to study the ecology of wild-living honey bees over several years.
While their population status is ambiguous and the density of colonies low, the fact that honey bees can still be found in forests poses questions about food supply in forest environments. Consequently, I investigated the suitability of woodlands as a honey bee foraging habitat (CHAPTER 4). As their native habitat, forests are assumed to provide important pollen and nectar sources for honey bee colonies. However, resource supply might be spatially and temporally restricted and landscape-scale studies in European forest regions are lacking. Therefore, I set up twelve honey bee colonies in observation hives at locations with varying degree of forest cover. Capitalizing on the unique communication behaviour, the waggle dance, I examined the foraging distances and habitat preferences of honey bees over almost an entire foraging season. Moreover, by connecting this decoded dance information with colony weight recordings, I could draw conclusions about the contribution of the different habitat types to honey yield. Foraging distances generally increased with the amount of forest in the surrounding landscape. Yet, forest cover did not have an effect on colony weight. Compared to expectations based on the proportions of different habitats in the surroundings, colonies foraged more frequently in cropland and grasslands than in deciduous and coniferous forests, especially in late summer when pollen foraging in the forest is most difficult. In contrast, colonies used forests for nectar/honeydew foraging in early summer during times of colony weight gain emphasizing forests as a temporarily significant source of carbohydrates. Importantly, my study shows that the ecological and economic value of managed forest as habitat for honey bees and other wild pollinators can be significantly increased by the continuous provision of floral resources, especially for pollen foraging.
The density of these wild-living honey bee colonies and their survival is driven by several factors that vary locally, making it crucial to compare results in different regions. Therefore, I investigated a wild-living honey bee population in Galicia in north-western Spain, where colonies were observed to reside in hollow electric poles (CHAPTER 5). The observed colony density only in these poles was almost twice as high as in German forest areas, suggesting generally more suitable resource conditions for the bees in Galicia. Based on morphometric analyses of their wing venation patterns, I assigned the colonies to the native evolutionary lineage (M-lineage) where the particularly threatened subspecies \(Apis\) \(mellifera\) \(iberiensis\) also belongs to. Averaged over two consecutive years, almost half of the colonies survived winter (23 out of 52). Interestingly, semi-natural areas both increased abundance and subsequent colony survival. Colonies surrounded by more semi-natural habitat (and therefore less intensive cropland) had an elevated overwintering probability, indicating that colonies need a certain amount of semi-natural habitat in the landscape to survive. Due to their ease of access these power poles in Galicia are, ideally suited to assess the population demography of wild-living Galician honey bee colonies through a long-term monitoring.
In a nutshell, my thesis indicates that honey bees in Europe always existed in the wild. I performed the first survey of wild-living bee density yet done in Germany and Spain. My thesis identifies the landscape as a major factor that compromises winter survival and reports the first data on overwintering rates of wild-living honey bees in Europe. Besides, I established methods to efficiently detect wild-living honey bees in different habitat. While colonies can be found all over Europe, their survival and viability depend on unpolluted, flower rich habitats. The protection of near-natural habitat and of nesting sites is of paramount importance for the conservation of wild-living honey bees in Europe.
The Seville Strategy spurred a signifi cant paradigm shift in UNESCO’s MAB Programme, re-conceptualising the research programme as a modern tool for the dual mandate of nature conservation and sustainable development. However, many biosphere reserves failed to comply with the new regulations and in 2013 the ‘Exit Strategy’ was announced to improve the quality of the global network.
This study presents a global assessment of the implementation of the quality enhancement strategies, highlighting signifi cant differences worldwide through 20 country-specifi c case studies. It concludes that the strategies have been fundamental in improving the credibility and coherence of the MAB Programme. Challenges in the implementation were not unique to individual countries but were common to all Member States with pre-Seville sites, and in many states the process has led to a rejuvenation of national biosphere reserve networks.
Cancer is one of the leading causes of death worldwide. The underlying tumorigenesis is driven by the accumulation of alterations in the genome, eventually disabling tumor suppressors and activating proto-oncogenes.
The MYC family of proto-oncogenes shows a strong deregulation in the majority of tumor entities. However, the exact mechanisms that contribute to MYC-driven oncogenesis remain largely unknown. Over the past decades, the influence of the MYC protein on transcription became increasingly apparent and was thoroughly investigated. Additionally, in recent years several publications provided evidence for so far unreported functions of MYC that are independent of a mere regulation of target genes. These findings suggest an additional role of MYC in the maintenance of genomic stability and this role is strengthened by key findings presented in this thesis.
In the first part, I present data revealing a pathway that allows MYC to couple transcription elongation and DNA double-strand break repair, preventing genomic instability of MYC-driven tumor cells. This pathway is driven by a rapid transfer of the PAF1 complex from MYC onto RNAPII, a process that is mediated by HUWE1. The transfer controls MYC-dependent transcription elongation and, simultaneously, the remodeling of chromatin structure by ubiquitylation of histone H2B. These regions of open chromatin favor not only elongation but also DNA double-strand break repair.
In the second part, I analyze the ability of MYC proteins to form multimeric structures in response to perturbation of transcription and replication. The process of multimerization is also referred to as phase transition. The observed multimeric structures are located proximal to stalled replication forks and recruit factors of the DNA-damage response and transcription termination machinery. Further, I identified the HUWE1-dependent ubiquitylation of MYC as an essential step in this phase transition. Cells lacking the ability to form multimers display genomic instability and ultimately undergo apoptosis in response to replication stress.
Both mechanisms present MYC as a stress resilience factor under conditions that are characterized by a high level of transcriptional and replicational stress. This increased resilience ensures oncogenic proliferation.
Therefore, targeting MYC’s ability to limit genomic instability by uncoupling transcription elongation and DNA repair or disrupting its ability to multimerize presents a therapeutic window in MYC-dependent tumors.
For formative evaluations of user experience (UX) a variety of methods have been developed over the years. However, most techniques require the users to interact with the study as a secondary task. This active involvement in the evaluation is not inclusive of all users and potentially biases the experience currently being studied. Yet there is a lack of methods for situations in which the user has no spare cognitive resources. This condition occurs when 1) users' cognitive abilities are impaired (e.g., people with dementia) or 2) users are confronted with very demanding tasks (e.g., air traffic controllers). In this work we focus on emotions as a key component of UX and propose the new structured observation method Proxemo for formative UX evaluations. Proxemo allows qualified observers to document users' emotions by proxy in real time and then directly link them to triggers. Technically this is achieved by synchronising the timestamps of emotions documented by observers with a video recording of the interaction.
In order to facilitate the documentation of observed emotions in highly diverse contexts we conceptualise and implement two separate versions of a documentation aid named Proxemo App. For formative UX evaluations of technology-supported reminiscence sessions with people with dementia, we create a smartwatch app to discreetly document emotions from the categories anger, general alertness, pleasure, wistfulness and pride. For formative UX evaluations of prototypical user interfaces with air traffic controllers we create a smartphone app to efficiently document emotions from the categories anger, boredom, surprise, stress and pride. Descriptive case studies in both application domains indicate the feasibility and utility of the method Proxemo and the appropriateness of the respectively adapted design of the Proxemo App.
The third part of this work is a series of meta-evaluation studies to determine quality criteria of Proxemo. We evaluate Proxemo regarding its reliability, validity, thoroughness and effectiveness, and compare Proxemo's efficiency and the observers' experience to documentation with pen and paper. Proxemo is reliable, as well as more efficient, thorough and effective than handwritten notes and provides a better UX to observers. Proxemo compares well with existing methods where benchmarks are available.
With Proxemo we contribute a validated structured observation method that has shown to meet requirements formative UX evaluations in the extreme contexts of users with cognitive impairments or high task demands. Proxemo is agnostic regarding researchers' theoretical approaches and unites reductionist and holistic perspectives within one method.
Future work should explore the applicability of Proxemo for further domains and extend the list of audited quality criteria to include, for instance, downstream utility. With respect to basic research we strive to better understand the sources leading observers to empathic judgments and propose reminisce and older adults as model environment for investigating mixed emotions.
Summary
Platelet activation and aggregation at sites of vascular injury is critical to prevent excessive blood loss, but may also lead to life-threatening ischemic disease states, such as myocardial infarction and stroke. Glycoprotein (GP) VI and C type lectin-like receptor 2 (CLEC-2) are essential platelet activating receptors in hemostasis and thrombo-inflammatory disease which signal through a (hem)immunoreceptor tyrosine-based activation motif (ITAM)-dependent pathway. The adapter molecules Src-like adapter protein (SLAP) and SLAP2 are involved in the regulation of immune cell receptor surface expression and signaling, but their function in platelets is unknown. As revealed in this thesis, single deficiency of SLAP or SLAP2 in mice had only moderate effects on platelet function, while SLAP/SLAP2 double deficiency resulted in markedly increased signal transduction, integrin activation, granule release, aggregation, procoagulant activity and thrombin generation following (hem)ITAM-coupled, but not G protein-coupled receptor activation. Slap-/-/Slap2-/- mice displayed accelerated occlusive arterial thrombus formation and a dramatically worsened outcome after focal cerebral ischemia. These results establish SLAP and SLAP2 as critical inhibitors of platelet (hem)ITAM signaling in the setting of arterial thrombosis and ischemic stroke.
GPVI has emerged as a promising novel pharmacological target for treatment of thrombotic and inflammatory disease states, but the exact mechanisms of its immunodepletion in vivo are incompletely understood. It was hypothesized that SLAP and SLAP2 may be involved in the control of GPVI down-regulation because of their role in the internalization of immune cell receptors. As demonstrated in the second part of the thesis, SLAP and SLAP2 were dispensable for antibody-induced GPVI down-regulation, but anti-GPVI treatment resulted in prolonged strong thrombocytopenia in Slap-/-/Slap2-/- mice. The profound thrombocytopenia likely resulted from the powerful platelet activation which the anti-GPVI antibody induced in Slap-/-/Slap2-/- platelets, but importantly, not in wild-type platelets. These data indicate that the expression and activation state of key modulators of the GPVI signaling cascade may have important implications for the safety profile and efficacy of anti-GPVI agents.
Small GTPases of the Rho family, such as RhoA and Cdc42, are critically involved in the regulation of cytoskeletal rearrangements during platelet activation, but little is known about the specific roles and functional redundancy of both proteins in platelet biogenesis. As shown in the final part of the thesis, combined deficiency of RhoA and Cdc42 led to marked alterations in megakaryocyte morphology and the generation of platelets of heterogeneous size and granule content. Despite severe hemostatic defects and profound thrombo¬cytopenia, circulating RhoA-/-/Cdc42-/- platelets were still capable of granule secretion and the formation of occlusive thrombi. These results implicate the existence of both distinct and overlapping roles of RhoA and Cdc42 in platelet production and function.
Empathy, the act of sharing another person’s affective state, is a ubiquitous driver for helping others and feeling close to them. These experiences are integral parts of human behavior and society. The studies presented in this dissertation aimed to investigate the sustainability and stability of social closeness and prosocial decision-making driven by empathy and other social motives. In this vein, four studies were conducted in which behavioral and neural indicators of empathy sustainability were identified using model-based functional magnetic resonance imaging (fMRI).
Applying reinforcement learning, drift-diffusion modelling (DDM), and fMRI, the first two studies were designed to investigate the formation and sustainability of empathy-related social closeness (study 1) and examined how sustainably empathy led to prosocial behavior (study 2). Using DDM and fMRI, the last two studies investigated how empathy combined with reciprocity, the social norm to return a favor, on the one hand and empathy combined with the motive of outcome maximization on the other hand altered the behavioral and neural social decision process.
The results showed that empathy-related social closeness and prosocial decision tendencies persisted even if empathy was rarely reinforced. The sustainability of these empathy effects was related to recalibration of the empathy-related social closeness learning signal (study 1) and the maintenance of a prosocial decision bias (study 2). The findings of study 3 showed that empathy boosted the processing of reciprocity-based social decisions, but not vice versa. Study 4 revealed that empathy-related decisions were modulated by the motive of outcome maximization, depending on individual differences in state empathy.
Together, the studies strongly support the concept of empathy as a sustainable driver of social closeness and prosocial behavior.
After the discovery of three-dimensional topological insulators (TIs), such as tetradymite chalcogenides Bi$_2$Se$_3$, Bi$_2$Te$_3$ and Sb$_2$Te$_3$ – a new class of quantum materials characterized by their unique surface electronic properties – the solid state community got focused on topological states that are driven by strong electronic correlations and magnetism. An important material class is the magnetic TI (MTI) exhibiting the quantum anomalous Hall (QAH) effect, i.e. a dissipationless quantized edge-state transport in the absence of external magnetic field, originating from the interplay between ferromagnetism and a topologically non-trivial band structure. The unprecedented opportunities offered by these new exotic materials open a new avenue for the development of low-dissipation electronics, spintronics, and quantum computation. However, the major concern with QAH effect is its extremely low onset temperature, limiting its practical application. To resolve this problem, a comprehensive understanding of the microscopic origin of the underlying ferromagnetism is necessary.
V- and Cr-doped (Bi,Sb)$_2$Te$_3$ are the two prototypical systems that have been widely studied as realizations of the QAH state. Finding microscopic differences between the strongly correlated V and Cr impurities would help finding a relevant model of ferromagnetic coupling and eventually provide better control of the QAH effect in these systems. Therefore, this thesis first focuses on the V- and Cr-doped (Bi,Sb)$_2$Te$_3$ systems, to better understand these differences. Exploiting the unique capabilities of x-ray absorption spectroscopy and magnetic circular dichroism (XAS/XMCD), combined with advanced modeling based on multiplet ligand-field theory (MLFT), we provide a detailed microscopic insight into the local electronic and magnetic properties of these systems and determine microscopic parameters crucial for the comparison with theoretical models, which include the $d$-shell filling, spin and orbital magnetic moments. We find a strongly covalent ground state, dominated by the superposition of one and two Te-ligand-hole configurations, with a negligible contribution from a purely ionic 3+ configuration. Our findings indicate the importance of the Te $5p$ states for the ferromagnetism in (Bi, Sb)$_2$Te$_3$ and favor magnetic coupling mechanisms involving $pd$-exchange. Using state-of-the-art density functional theory (DFT) calculations in combination with XMCD and resonant photoelectron spectroscopy (resPES), we reveal the important role of the $3d$ impurity states in mediating magnetic exchange coupling. Our calculations illustrate that the kind and strength of the exchange coupling varies with the impurity $3d$-shell occupation. We find a weakening of ferromagnetic properties upon the increase of doping concentration, as well as with the substitution of Bi at the Sb site. Finally, we qualitatively describe the origin of the induced magnetic moments at the Te and Sb sites in the host lattice and discuss their role in mediating a robust ferromagnetism based on a $pd$-exchange interaction scenario. Our findings reveal important clues to designing higher $T_{\text{C}}$ MTIs.
Rare-earth ions typically exhibit larger magnetic moments than transition-metal ions and thus promise the opening of a wider exchange gap in the Dirac surface states of TIs, which is favorable for the realization of the high-temperature QAH effect. Therefore, we have further focused on Eu-doped Bi$_2$Te$_3$ and scrutinized whether the conditions for formation of a substantial gap in this system are present by combining spectroscopic and bulk characterization methods with theoretical calculations. For all studied Eu doping concentrations, our atomic multiplet analysis of the $M_{4,5}$ x-ray absorption and magnetic circular dichroism spectra reveals a Eu$^{2+}$ valence, unlike most other rare earth elements, and confirms a large magnetic moment. At temperatures below 10 K, bulk magnetometry indicates the onset of antiferromagnetic ordering. This is in good agreement with DFT results, which predict AFM interactions between the Eu impurities due to the direct overlap of the impurity wave functions. Our results support the notion of antiferromagnetism coexisting with topological surface states in rare-earth doped Bi$_2$Te$_3$ and corroborate the potential of such doping to result in an antiferromagnetic TI with exotic quantum properties.
The doping with impurities introduces disorder detrimental for the QAH effect, which may be avoided in stoichiometric, well-ordered magnetic compounds. In the last part of the thesis we have investigated the recently discovered intrinsic magnetic TI (IMTI) MnBi$_6$Te$_{10}$, where we have uncovered robust ferromagnetism with $T_{\text{C}} \approx 12$ K and connected its origin to the Mn/Bi intermixing. Our measurements reveal a magnetically intact surface with a large moment, and with FM properties similar to the bulk, which makes MnBi$_6$Te$_{10}$ a promising candidate for the QAH effect at elevated temperatures. Moreover, using an advanced ab initio MLFT approach we have determined the ground-state properties of Mn and revealed a predominant contribution of the $d^5$ configuration to the ground state, resulting in a $d$-shell electron occupation $n_d = 5.31$ and a large magnetic moment, in excellent agreement with our DFT calculations and the bulk magnetometry data. Our results together with first principle calculations based on the DFT-GGA$+U$, performed by our collaborators, suggest that carefully engineered intermixing plays a crucial role in achieving a robust long-range FM order and therefore could be the key for achieving enhanced QAH effect properties.
We expect our findings to aid better understanding of MTIs, which is essential to help increasing the temperature of the QAH effect, thus facilitating the realization of low-power electronics in the future.
About 2.4 billion years ago, nature has fundamentally revolutionized life on earth by inventing the multi-subunit protein complex photosystem II, the only molecular machine in nature that catalyzes the thermodynamically demanding photosynthetic splitting of water into oxygen and reducing equivalents. Nature chose a distorted Mn4CaO5 cluster as catalyst, better known as oxygen-evolving complex (OEC), thus recognizing the need for transition metals to achieve high-performance catalysts. The curiosity has always driven mankind to mimic nature’s achievements, but the performance of natural enzymes such as the oxygen-evolving complex in photosystem II remain commonly unmatched. An important role in fine-tuning and regulating the activity of natural enzymes is attributed to the surrounding protein domain, which facilitates substrate preorganization within well-defined nanoenvironments.
In light of growing energy demands and the depletion of fossil fuels, the unparalleled efficiency of natural photosynthesis inspires chemists to artificially mimic its natural counterpart to generate hydrogen as a ‘solar fuel’ through the light-driven splitting of water. As a result, significant efforts have been devoted in recent decades to develop molecular water oxidation catalysts based on earth-abundant transition metals and the discovery of the Ru(bda) (bda: 2,2’ bipyridine-6,6’-dicarboxylate) catalyst family enabled activities comparable to the natural OEC. Similar to the natural archetypes, the design of homogeneous catalysts that interplay judiciously with the second coordination sphere of the outer ligand framework proved to be a promising concept for catalyst design. In this present thesis, novel supramolecular design approaches for enzyme like activation of substrate water molecules for the challenging oxidative water splitting reaction were established via tailor-made engineering of the secondary ligand environment of macrocyclic Ru(bda) catalysts.
The 1st chapter provides a detailed review of the development of synthetic approaches to triarylboranes from their first report nearly 135 years ago to the present. In the 2nd chapter, a novel and convenient methodology is reported for the one-pot synthesis of sterically-congested triarylboranes, using bench-stable aryltrifluoroborates as the boron source. The new procedure gives access to symmetrically- and unsymmetrically-substituted triarylboranes. The borylated triarylboranes are suggested as building blocks for the design of functional materials. In the 3rd chapter, four luminescent tetracationic bis-triarylborane DNA and RNA sensors that show high binding affinities, in several cases even in the nM range, are investigated. The molecular structures of two of the neutral precursors reveal some structural flexibility for these compounds in the solid state. The compounds were found to be highly emissive even in water and DNA and RNA binding affinities were found to be dependent on linker length and flexibility. Strong SERS responses for three of the four compounds demonstrate the importance of triple bonds for strong Raman activity in molecules of this compound class. In chapter 4, the compound class of water-soluble tetracationic bis-triarylborane chromophores is extended by EDOT-linked compounds and those are compared to their thiophene-containing analogs. Absorption and emission are significantly red-shifted in these compounds, compared to their thiophene-containing analogs and, due to a large Stokes shift, one of the reported compounds exhibits the most bathochromically shifted emission, observable well into the near infrared region, of all tetracationic water-soluble bis-triarylborane chromophores reported to date. Long-lived excited states, completely quenched by oxygen, were observed for the water-stable compounds of this study via transient absorption spectroscopy and a quantum yield for singlet oxygen formation of 0.6 was determined for one of them.
Stomata are pores in the leaf surface, formed by pairs of guard cells. The guard cells modulate the aperture of stomata, to balance uptake of CO2 and loss of water vapor to the atmosphere. During drought, the phytohormone abscisic acid (ABA) provokes stomatal closure, via a signaling chain with both Ca2+-dependent and Ca2+-independent branches. Both branches are likely to activate SLAC1-type (Slow Anion Channel Associated 1) anion channels that are essential for initiating the closure of stomata. However, the importance of the Ca2+-dependent signaling branch is still debated, as the core ABA signaling pathway only possesses Ca2+-independent components. Therefore, the aim of this thesis was to address the role of the Ca2+-dependent branch in the ABA signaling pathway of guard cells.
In the first part of the thesis, the relation between ABA-induced Ca2+ signals and stomatal closure was studied, with guard cells that express the genetically encoded Ca2+-indicator R-GECO1-mTurquoise. Ejection of ABA into the guard cell wall rapidly induced stomatal closure, however, only in ¾ of the guard cells ABA evoked a cytosolic Ca2+ signal. A small subset of stomata (¼ of the experiments) closed without Ca2+ signals, showing that the Ca2+ signals are not essential for ABA-induced stomatal closure. However, stomata in which ABA evoked Ca2+ signals closed faster as those in which no Ca2+ signals were detected. Apparently, ABA-induced Ca2+ signals enhance the velocity of stomatal closure. In addition to ABA, hyperpolarizing voltage pulses could also trigger Ca2+ signals in wild type guard cells, which in turn activated S-type anion channels. However, these voltage pulses failed to elicit S-type anion currents in the slac1/slah3 guard cells, suggesting that SLAC1 and SLAH3 contribute to Ca2+-activated conductance. Taken together, our data indicate that ABA-induced Ca2+ signals enhance the activity of S-type anion channels, which accelerates stomatal closure.
The second part of the thesis deals with the signaling pathway downstream of the Ca2+ signals. Two types of Ca2+-dependent protein kinase modules (CPKs and CBL/CIPKs) have been implicated in guard cells. We focused on the protein kinase CIPK23 (CBL-Interacting Protein Kinase 23), which is activated by the Ca2+-dependent protein CBL1 or 9 (Calcineurin B-Like protein 1 or 9) via interacting with the NAF domain of CIPK23. The CBL1/9-CIPK23 complex has been shown to affect stomatal movements, but the underlying molecular mechanisms remain largely unknown. We addressed this topic by using an estrogen-induced expression system, which specifically enhances the expression of wild type CIPK23, a phosphomimic CIPK23T190D and a kinase dead CIPK23K60N in guard cells. Our data show that guard cells expressing CIPK23T190D promoted stomatal opening, while CIPK23K60N enhanced ABA-induced stomatal closure, suggesting that CIPK23 is a negative regulator of stomatal closure. Electrophysiological measurements revealed that the inward K+ channel currents were similar in guard cells that expressed CIPK23, CIPK23T190D or CIPK23K60N, indicating that CIPK23-mediated inward K+ channel AKT1 does not contribute to stomatal movements. Expression of CIPK23K60N, or loss of CIPK23 in guard cells enhanced S-type anion activity, while the active CIPK23T190D inhibited the activity of these anion channels. These results are in line with the detected changes in stomatal movements and thus indicate that CIPK23 regulates stomatal movements by inhibiting S-type anion channels. CIPK23 thus serves as a brake to control anion channel activity. Overall, our findings demonstrate that CIPK23-mediated stomatal movements do not depend on CIPK23-AKT1 module, instead, it is achieved by regulating S-type anion channels SLAC1 and SLAH3.
In sum, the data presented in this thesis give new insights into the Ca2+-dependent branch of ABA signaling, which may help to put forward new strategies to breed plants with enhanced drought stress tolerance, and in turn boost agricultural productivity in the future.
In the scientific search for truth, the correspondence theory is predominant to decipher what counts as true. In this approach, scientific knowledge becomes empirically demonstrable and thus enclosed to the sphere of immanence. However, in theology’s approach to question the given status of being human and the world’s development as creation, theology does not adhere to answers that are contained within the sphere of demonstrable knowledge or mundanity, and thereby theology presents a fundamentally different conception of truth, Jesus Christ the living truth. In opposition to drawing on empirical proof, I want to reread Christian theology in a Socratic manner that employs irony to question overly simple methodologies and seek further insights what it means to be human and be engaged in the scientific search for truth if the authority of knowledge does not lie within humanity’s grasp. In doing so, theology’s role is an annoying, yet necessary irritation within the field of today’s academia.