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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)
- 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)
- Deutsches Zentrum für Luft- und Raumfahrt (DLR) (1)
The present study discusses money and conflicts and anxiety over money in late Ming vernacular stories and contextualizes these stories in the contemporary society of economic prosperity and rapid changes. The high monetization and extensive use of silver and copper cash as currency brought both wealth and conflicts in various aspects of society. Eleven vernacular stories from several collections are adopted as source materials for the close examination, including Jingshi tongyan (Stories to Caution the World, 1624) and Xingshi hengyan (Stories to Awaken the World, 1627) by Feng Menglong (1574-1646) and the two Pai’an jingqi (Slapping the Table in Amazement, 1628 and 1632) collections by Ling Mengchu (1580-1644), etc. The analysis then focuses on the relationship between money and four topics, the late Ming context, social relations, gender ideals, and religion. Multiple voices and various viewpoints in these narratives show human beings’ struggles in taming and dominating money, the increasingly familiar and essential object in everyday life. Generally, when people cannot control money properly, there is a fear of its detrimental power to humans and social relations within and beyond families. On the contrary, characters, who are able to control money, are praised.
Insights;
(2023)
The cluster of texts assembled here were imagined, crafted, and brought together as a collaborative writing project that emerged from the seminar titled "Words Matter Worlds: Activist Scholarship and Literary Praxis," which convened over the course of the 2021/22 winter semester as an offering of the American Studies department of the Julius-Maximilians-Universität Würzburg. Like the seminar that nurtured the considerations that evolve here, these contributions engage with how scholarly writing practices in general, and literary and cultural studies in particular, can remake the world.
Mammalian embryonic development is subject to complex biological relationships that need to be understood. However, before the whole structure of development can be put together, the individual building blocks must first be understood in more detail. One of these building blocks is the second cell fate decision and describes the differentiation of cells of the inner cell mass of the embryo into epiblast and primitive endoderm cells. These cells then spatially segregate and form the subsequent bases for the embryo and yolk sac, respectively. In organoids of the inner cell mass, these two types of progenitor cells are also observed to form, and to some extent to spatially separate. This work has been devoted to these phenomena over the past three years. Plenty of studies already provide some insights into the basic mechanics of this cell differentiation, such that the first signs of epiblast and primitive endoderm differentiation, are the expression levels of transcription factors NANOG and GATA6. Here, cells with low expression of GATA6 and high expression of NANOG adopt the epiblast fate. If the expressions are reversed, a primitive endoderm cell is formed. Regarding the spatial segregation of the two cell types, it is not yet clear what mechanism leads to this. A common hypothesis suggests the differential adhesion of cell as the cause for the spatial rearrangement of cells. In this thesis however, the possibility of a global cell-cell communication is investigated. The approach chosen to study these phenomena follows the motto "mathematics is biology's next microscope". Mathematical modeling is used to transform the central gene regulatory network at the heart of this work into a system of equations that allows us to describe the temporal evolution of NANOG and GATA6 under the influence of an external signal. Special attention is paid to the derivation of new models using methods of statistical mechanics, as well as the comparison with existing models. After a detailed stability analysis the advantages of the derived model become clear by the fact that an exact relationship of the model parameters and the formation of heterogeneous mixtures of two cell types was found. Thus, the model can be easily controlled and the proportions of the resulting cell types can be estimated in advance. This mathematical model is also combined with a mechanism for global cell-cell communication, as well as a model for the growth of an organoid. It is shown that the global cell-cell communication is able to unify the formation of checkerboard patterns as well as engulfing patterns based on differently propagating signals. In addition, the influence of cell division and thus organoid growth on pattern formation is studied in detail. It is shown that this is able to contribute to the formation of clusters and, as a consequence, to breathe some randomness into otherwise perfectly sorted patterns.
Plexus injury often occurs after motor vehicle accidents and results in lifelong disability with severe neuropathic pain. Surgical treatment can partially restore motor functions, but sensory loss and neuropathic pain persist. Regenerative medicine concepts, such as cell replacement therapies for restoring dorsal root ganglia (DRG) function, set high expectations. However, up to now, it is unclear which DRG cell types are affected by nerve injury and can be targeted in regenerative medicine approaches.
This study followed the hypothesis that satellite glial cells (SGCs) might be a suitable endogenous cell source for regenerative medicine concepts in the DRG. SGCs originate from the same neural crest-derived cell lineage as sensory neurons, making them attractive for neural repair strategies in the peripheral nervous system. Our hypothesis was investigated on three levels of experimentation. First, we asked whether adult SGCs have the potential of sensory neuron precursors and can be reprogrammed into sensory neurons in vitro. We found that adult mouse DRG harbor SGC-like cells that can still dedifferentiate into progenitor-like cells. Surprisingly, expression of the early developmental transcription factors Neurog1 and Neurog2 was sufficient to induce neuronal and glial cell phenotypes. In the presence of nerve growth factor, induced neurons developed a nociceptor-like phenotype expressing functional nociceptor markers, such as the ion channels TrpA1, TrpV1 and NaV1.9. In a second set of experiments, we used a rat model for peripheral nerve injury to look for changes in the DRG cell composition. Using an unbiased deep learning-based approach for cell analysis, we found that cellular plasticity responses after nerve injury activate SGCs in the whole DRG. However, neither injury-induced neuronal death nor gliosis was observed. Finally, we asked whether a severe nerve injury changed the cell composition in the human DRG. For this, a cohort of 13 patients with brachial plexus injury was investigated. Surprisingly, in about half of all patients, the injury-affected DRG showed no characteristic DRG tissue. The complete entity of neurons, satellite cells, and axons was lost and fully replaced by mesodermal/connective tissue. In the other half of the patients, the basic cellular entity of the DRG was well preserved. Objective deep learning-based analysis of large-scale bioimages of the “intact” DRG showed no loss of neurons and no signs of gliosis.
This study suggests that concepts for regenerative medicine for restoring DRG function need at least two translational research directions: reafferentation of existing DRG units or full replacement of the entire multicellular DRG structure. For DRG replacement, SGCs of the adult DRG are an attractive endogenous cell source, as the multicellular DRG units could possibly be rebuilt by transdifferentiating neural crest-derived sensory progenitor cells into peripheral sensory neurons and glial cells using Neurog1 and Neurog2.
Evidence synthesis findings depend on the assumption that the included studies follow good clinical practice and results are not fabricated or false. Studies which are problematic due to scientific misconduct, poor research practice, or honest error may distort evidence synthesis findings. Authors of evidence synthesis need transparent mechanisms to identify and manage problematic studies to avoid misleading findings. As evidence synthesis authors of the Cochrane COVID-19 review on ivermectin, we identified many problematic studies in terms of research integrity and regulatory compliance. Through iterative discussion, we developed a research integrity assessment (RIA) tool for randomized controlled trials for the update of this Cochrane review. In this paper, we explain the rationale and application of the RIA tool in this case study. RIA assesses six study criteria: study retraction, prospective trial registration, adequate ethics approval, author group, plausibility of methods (e.g., randomization), and plausibility of study results. RIA was used in the Cochrane review as part of the eligibility check during screening of potentially eligible studies. Problematic studies were excluded and studies with open questions were held in awaiting classification until clarified. RIA decisions were made independently by two authors and reported transparently. Using the RIA tool resulted in the exclusion of >40% of studies in the first update of the review. RIA is a complementary tool prior to assessing “Risk of Bias” aiming to establish the integrity and authenticity of studies. RIA provides a platform for urgent development of a standard approach to identifying and managing problematic studies.
Background
Ischemic stroke immediately evokes a strong neuro-inflammatory response within the vascular compartment, which contributes to primary infarct development under vessel occlusion as well as further infarct growth despite recanalization, referred to as ischemia/reperfusion injury. Later, in the subacute phase of stroke (beyond day 1 after recanalization), further inflammatory processes within the brain parenchyma follow. Whether this second wave of parenchymal inflammation contributes to an additional/secondary increase in infarct volumes and bears the potential to be pharmacologically targeted remains elusive. We addressed the role of the NLR-family pyrin domain-containing protein 3 (NLRP3) inflammasome in the subacute phase of ischemic stroke.
Methods
Focal cerebral ischemia was induced in C57Bl/6 mice by a 30-min transient middle cerebral artery occlusion (tMCAO). Animals were treated with the NLRP3 inhibitor MCC950 therapeutically 24 h after or prophylactically before tMCAO. Stroke outcome, including infarct size and functional deficits as well as the local inflammatory response, was assessed on day 7 after tMCAO.
Results
Infarct sizes on day 7 after tMCAO decreased about 35% after delayed and about 60% after prophylactic NLRP3 inhibition compared to vehicle. Functionally, pharmacological inhibition of NLRP3 mitigated the local inflammatory response in the ischemic brain as indicated by reduction of infiltrating immune cells and reactive astrogliosis.
Conclusions
Our results demonstrate that the NLRP3 inflammasome continues to drive neuroinflammation within the subacute stroke phase. NLRP3 inflammasome inhibition leads to a better long-term outcome—even when administered with a delay of 1 day after stroke induction, indicating ongoing inflammation-driven infarct progression. These findings may pave the way for eagerly awaited delayed treatment options in ischemic stroke.
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.
Metallic nanostructures possess the ability to support resonances in the visible wavelength regime which are related to localized surface plasmons. These create highly enhanced electric fields in the immediate vicinity of metal surfaces. Nanoparticles with dipolar resonance also radiate efficiently into the far-field and hence serve as antennas for light. Such optical antennas have been explored during the last two decades, however, mainly as standalone units illuminated by external laser beams and more recently as electrically driven point sources, yet merely with basic antenna properties. This work advances the state of the art of locally driven optical antenna systems. As a first instance, the electric driving scheme including inelastic electron tunneling over a nanometer gap is merged with Yagi-Uda theory. The resulting antenna system consists of a suitably wired feed antenna, incorporating a tunnel junction, as well as several nearby parasitic elements whose geometry is optimized using analytical and numerical methods. Experimental evidence of unprecedented directionality of light emission from a nanoantenna is provided. Parallels in the performance between radiofrequency and optical Yagi-Uda arrays are drawn. Secondly, a pair of electrically connected antennas with dissimilar resonances is harnessed as electrodes in an organic light emitting nanodiode prototype. The organic material zinc phthalocyanine, exhibiting asymmetric injection barriers for electrons and holes, in conjunction with the electrode resonances, allows switching and controlling the emitted peak wavelength and directionality as the polarity of the applied voltage is inverted. In a final study, the near-field based transmission-line driving of rod antenna systems is thoroughly explored. Perfect impedance matching, corresponding to zero back-reflection, is achieved when the antenna acts as a generalized coherent perfect absorber at a specific frequency. It thus collects all guided, surface-plasmon mediated input power and transduces it to other nonradiative and radiative dissipation channels. The coherent interplay of losses and interference effects turns out to be of paramount importance for this delicate scenario, which is systematically obtained for various antenna resonances. By means of the here developed semi-analytical toolbox, even more complex nanorod chains, supporting topologically nontrivial localized edge states, are studied. The results presented in this work facilitate the design of complex locally driven antenna systems for optical wireless on-chip communication, subwavelength pixels, and loss-compensated integrated plasmonic nanocircuitry which extends to the realm of topological plasmonics.
Various types of cancer involve aberrant cell cycle regulation. Among the pathways responsible for tumor growth, the YAP oncogene, a key downstream effector of the Hippo pathway, is responsible for oncogenic processes including cell proliferation, and metastasis by controlling the expression of cell cycle genes. In turn, the MMB multiprotein complex (which is formed when B-MYB binds to the MuvB core) is a master regulator of mitotic gene expression, which has also been associated with cancer. Previously, our laboratory identified a novel crosstalk between the MMB-complex and YAP. By binding to enhancers of MMB target genes and promoting B-MYB binding to promoters, YAP and MMB co-regulate a set of mitotic and cytokinetic target genes which promote cell proliferation. This doctoral thesis addresses the mechanisms of YAP and MMB mediated transcription, and it characterizes the role of YAP regulated enhancers in transcription of cell cycle genes.
The results reported in this thesis indicate that expression of constitutively active, oncogenic YAP5SA leads to widespread changes in chromatin accessibility in untransformed human MCF10A cells. ATAC-seq identified that newly accessible and active regions include YAP-bound enhancers, while the MMB-bound promoters were found to be already accessible and remain open during YAP induction. By means of CRISPR-interference (CRISPRi) and chromatin immuniprecipitation (ChIP), we identified a role of YAP-bound enhancers in recruitment of CDK7 to MMB-regulated promoters and in RNA Pol II driven transcriptional initiation and elongation of G2/M genes. Moreover, by interfering with the YAP-B-MYB protein interaction, we can show that binding of YAP to B-MYB is also critical for the initiation of transcription at MMB-regulated genes. Unexpectedly, overexpression of YAP5SA also leads to less accessible chromatin regions or chromatin closing. Motif analysis revealed that the newly closed regions contain binding motifs for the p53 family of transcription factors. Interestingly, chromatin closing by YAP is linked to the reduced expression and loss of chromatin-binding of the p53 family member Np63. Furthermore, I demonstrate that downregulation of Np63 following expression of YAP is a key step in driving cellular migration.
Together, the findings of this thesis provide insights into the role of YAP in the chromatin changes that contribute to the oncogenic activities of YAP. The overexpression of YAP5SA not only leads to the opening of chromatin at YAP-bound enhancers which together with the MMB complex stimulate the expression of G2/M genes, but also promotes the closing of chromatin at ∆Np63 -bound regions in order to lead to cell migration.
Development, Simulation and Evaluation of Mobile Wireless Networks in Industrial Applications
(2023)
Manyindustrialautomationsolutionsusewirelesscommunicationandrelyontheavail-
ability and quality of the wireless channel. At the same time the wireless medium is
highly congested and guaranteeing the availability of wireless channels is becoming
increasingly difficult. In this work we show, that ad-hoc networking solutions can be
used to provide new communication channels and improve the performance of mobile
automation systems. These ad-hoc networking solutions describe different communi-
cation strategies, but avoid relying on network infrastructure by utilizing the Peer-to-
Peer (P2P) channel between communicating entities.
This work is a step towards the effective implementation of low-range communication
technologies(e.g. VisibleLightCommunication(VLC), radarcommunication, mmWave
communication) to the industrial application. Implementing infrastructure networks
with these technologies is unrealistic, since the low communication range would neces-
sitate a high number of Access Points (APs) to yield full coverage. However, ad-hoc
networks do not require any network infrastructure. In this work different ad-hoc net-
working solutions for the industrial use case are presented and tools and models for
their examination are proposed.
The main use case investigated in this work are Automated Guided Vehicles (AGVs)
for industrial applications. These mobile devices drive throughout the factory trans-
porting crates, goods or tools or assisting workers. In most implementations they must
exchange data with a Central Control Unit (CCU) and between one another. Predicting
if a certain communication technology is suitable for an application is very challenging
since the applications and the resulting requirements are very heterogeneous.
The proposed models and simulation tools enable the simulation of the complex inter-
action of mobile robotic clients and a wireless communication network. The goal is to
predict the characteristics of a networked AGV fleet.
Theproposedtoolswereusedtoimplement, testandexaminedifferentad-hocnetwork-
ing solutions for industrial applications using AGVs. These communication solutions
handle time-critical and delay-tolerant communication. Additionally a control method
for the AGVs is proposed, which optimizes the communication and in turn increases the
transport performance of the AGV fleet. Therefore, this work provides not only tools
for the further research of industrial ad-hoc system, but also first implementations of
ad-hoc systems which address many of the most pressing issues in industrial applica-
tions.
Fear and anxiety disorders – interaction of AVP and OXT brain systems with the serotonergic system
(2023)
Anxiety disorders pose a great burden onto society and economy and can have devastating consequences for affected individuals. Treatment options are still limited to psychopharmacotherapy originally developed for the treatment of depression and behavioral therapy. A combination of genetic traits together with aversive events is most likely the cause of these diseases. Gene x environment studies are trying to find a link between genetic traits and specific negative circumstances. In a first study, we focused on social anxiety disorder (SAD), which is the second most-common anxiety disorder after specific phobias. We used a social fear conditioning (SFC) paradigm, which is able to mimic the disease in a mouse model. We wanted to investigate protein levels, as well as mRNA expression of immediate early genes (IEGs), to determine brain areas affected by the paradigm. We also included genes of the vasopressin (AVP)-, oxytocin (OXT)-, neuropeptide Y (NPY)-, and the serotonin system, to investigate the effects of SFC on neurotransmitter gene expression levels in brain regions related to social as well as fear-related behavior. AVP and OXT regulate a lot of different social and anxiety-related behaviors, both positive and negative. Finding a link between different neurotransmitter systems in the development of anxiety disorders could help to identify potential targets for new treatment approaches, which are desperately needed, because the rate of patients not responding to available treatment is very high.
We were able to show altered gene expression of the IEGs cFos and Fosl2, as well as a change in number and density of cFOS-positive cells in the dorsal hippocampus, indicating an influence of SFC on neuronal activity. Our results reveal a possible involvement of anterior dentate gyrus (DG), as well as cornu ammonis area 1 (CA1) and CA3 in the dorsal hippocampus during the expression of social fear. Contrary to our hypothesis, we were not able to see changes in neuronal activity through expression changes of IEGs in the amygdala. Significant higher IEG immunoreactivity and gene expression in the dorsal hippocampus of animals without fear conditioning (SFC-), compared to animals with fear conditioning (SFC+), indicate an involvement of different hippocampal regions in two possible scenarios. Either as elevated gene expression in SFC- animals compared to SFC+ animals or as reduction in SFC+ animals compared to SFC- animals. However, this question cannot be answered without an additional control of basal IEG-activity without social interaction. The NPY system in general and the neuropeptide y receptor type 2 in particular seem to be involved in regulating the response to social fear, mostly through the septum region. In addition to that, a possible role for the induction of social fear response could be identified in the serotonergic system and especially the serotonin receptor 2a of the PVN.
In a second study we focused on changes in the serotonergic system. A polymorphism in the human serotonin transporter (5-HTT) gene is associated with higher risks for the development of anxiety disorders. This makes the 5-HTT a widely used target to study possible causes and the development of anxiety disorders. In mice, a genetically induced knockout of the 5-Htt gene is associated with increased anxiety-like behavior. High amounts of stress during pregnancy, also known as prenatal stress, significantly increase the risk to develop psychiatric disorders for the unborn child. We utilized a prenatal stress paradigm in mice heterozygous for the 5-Htt gene. Some of the animals which had been subjected to prenatal stress showed noticeably “unsocial” interaction behavior towards conspecifics. Again, we were searching for links between the serotonergic system and AVP- and OXT systems. Through quantitative gene expression analysis, we were able to show that both AVP and OXT neuromodulator systems are affected through prenatal stress in female mice, but not in male mice. The 5-Htt genotype seems to be only slightly influential to AVP, OXT or any other neurotransmitter system investigated. Gene expression of AVP and OXT brain systems is highly influenced through the estrous cycle stages of female mice. Additionally, we analyzed the AVP and OXT neuropeptide levels of mice with different 5-Htt genotypes and in both sexes, in order to see whether the production of AVP and OXT is influenced by 5-Htt genotype. On neuropeptide level, we were able to identify a sex difference for vasopressin-immunoreactive (ir) cells in the PVN, with male mice harboring significantly more positive cells than female mice.
A disturbance in the symbiotic mutualism between the intestinal microbiome and the human host’s organism (syn. dysbiosis) accompanies the development of a variety of inflammatory and metabolic diseases that comprise the Metabolic Syndrome, chronic inflammatory gut diseases like Crohn’s disease, Non-alcoholic fatty liver disease (NAFLD) and cardiovascular diseases, among others. The changed uptake and effectiveness of short chain fatty acids (SCFAs) as well as an increase of the intestinal permeability are common, interdependent disease elements in this regard. Short chain fatty acids are end-products of intestinal bacterial fermentation and affect the mucosal barrier integrity via numerous molecular mechanisms.
There is evidence to suggest, that SCFAs have a modulating influence on Signal transducer and activator of transcription 3 (STAT3) in intestinal epithelial cells. STAT3 is a central gene-transcription factor in signaling pathways of proliferation and inflammation. It can be activated by growth factors and other intercellular signaling molecules like the cytokine Oncostatin M (OSM). The mode of STAT3’s activation exhibits, finally, a decisive influence on the immunological balance at the intestinal mucosa. Therefore, the posttranslational modification of STAT3 under the influence of SCFAs is likely to be a very important factor within the development and -progression of dysbiosis-associated diseases.
In this study, a clear positive in vitro-effect of the short chain fatty acid butyrate on the posttranslational serine727-phosphorylation of STAT3 and its total protein amount in the human adenocarcinoma cell line CACO2 is verified. Moreover, an increased gene expression of the OSM-receptor subunit OSMRβ can be observed after butyrate incubation. Histone deacetylase inhibition is shown to have a predominant role in these effects. Furthermore, a subsequent p38 MAPK-activation by Butyrate is found to be a key molecular mechanism regarding the STAT3-phosphorylation at serine727-residues. To consider the portion of butyrate receptor signaling in this context in future assays, a CACO-2 cell 3D-culture model is introduced in which an improvement of the GPR109A-receptor expression in CACO-2 cells is accomplished.
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.
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.
Spinal muscular atrophy (SMA) is a genetic pediatric condition that affects lower motoneurons leading to their degeneration and muscle weakness. It is caused by homozygous loss or mutations in the Survival Motor Neuron 1 (SMN1) gene; however, the pathomechanism leading to motoneuron degeneration is not fully resolved. Cultured embryonic SMA motoneurons display axon elongation and differentiation defects accompanied by collapsed growth cones with a disturbed actin cytoskeleton. Intriguingly, motoneurons cultured from mice deficient for the Tropomyosin-kinase receptor B (TrkB), exhibit similar pathological features. Thus, the question arises whether SMA motoneurons suffer from defective Brain-derived neurotrophic factor (BDNF)/TrkB signaling and whether there is a link to the disturbed actin cytoskeleton. In the recent years, modifier genes such as Plastin 3 (PLS3) were shown to beneficially interfere with SMA pathology. Nevertheless, the mechanism of how the actin-bundler PLS3 counteracts SMN deficiency is not well understood. In this study, we investigated TrkB localization and its activation in cultured SMA motoneurons and neuromuscular junctions (NMJs). While TrkB levels are only mildly affected locally in axon terminals, BDNF-mediated TrkB phosphorylation was massively disturbed. The activity-dependent TrkB translocation to the cell surface and its activation via BDNF were shown to be Pls3-dependent processes, that can be abolished by knockdown of Pls3. In contrast, PLS3 overexpression in SMA motoneurons rescued the defects on morphological and functional level. In particular, the relocation of TrkB to the cell surface after BDNF-induced internalization is disturbed in SMA, which is based on an actin-dependent TrkB translocation defect from intracellular stores. Lastly, AAV9-mediated PLS3 overexpression in vivo in neonatal SMA mice provided further evidence for the capacity of PLS3 to modulate actin dynamics necessary for accurate BDNF/TrkB signaling. In conclusion, we provide a novel role for PLS3 in mediating proper alignment of transmembrane proteins as prerequisite for their appropriate functioning. Hence, PLS3 is required for a key process indispensable for the development and function of motoneurons even beyond the context of SMA.
Dietary fatty acids serve as objective biomarkers for the estimation of habitual diet mainly because biomarkers are free of memory bias or inaccuracies of food databases. The aim of the present work encompassed the implementation of a gas chromatographical method coupled with a mass spectrometrical and flame-ionization detector for analysis of fatty acid biomarkers in human biospecimens, their analytical determination and statistical evaluation in two different study populations and different biospecimens as well as the elaboration of adverse reactions to food ingredients with special focus on food allergies and food intolerances in the context of a possible implementation into an application for consumer health. The first aim was the identification of potential influence of fatty acid biomarkers on desaturase and elongase indexes (Δ9DI, Δ6DI, Δ5DI and ELOVLI5), which are factors in type 2 diabetes risk, in breast adipose tissue from healthy women. Influence of further variables on respective indexes was also investigated. 40 samples were investigated and potential variables were either collected by questionnaire or determined. Principle component analysis was applied for fatty acid biomarkers (PCdiet1, PCdiet2 and PCdiet3 representative for the dietary intake of vegetable oils/nuts, fish and partially hydrogenated vegetable oils), endogenous estrogens (PCE1) and oxysterols (PCOxy1). Multiple linear regression models were applied. Δ9DI and Δ6DI were influenced non-significantly and significantly negatively by PCdiet2 supporting a putative beneficial effect of vegetable oils and nuts on type 2 diabetes risk factors. ELOVLI5 and Δ5DI were influenced significantly and non-significantly positively by PCdiet1 supporting a putative beneficial effect of fish consumption on type 2 diabetes risk factors. On the other hand, PCdiet1 also significantly and non-significantly positively influenced Δ9DI and Δ6DI supporting a putative adverse effect of fish biomarkers on type 2 diabetes risk factors. The opposing influences of PCdiet1 suggesting an ambivalent role of dietary intake of fish on investigated indexes. Δ6DI was significantly positively influenced by PCdiet3 and number of pregnancies supporting a putative adverse effect of partially hydrogenated vegetable oils and pregnancies on type 2 diabetes risk factors. Lifestyle factors like smoking significantly and non-significantly influenced Δ9DI and Δ6DI putatively adversely. Δ5DI was influenced significantly positively by estrogen active drugs suggesting a putative beneficial effect on type 2 diabetes risk factors. It must be considered that a variation coefficient of up to 0.44 only explained 44% of variance of the respective indexes, suggesting other influencing factors might play a role. The second aim was the implementation of a gas chromatographical method coupled with a mass spectrometrical and flame-ionization detector for analysis of fatty acid biomarkers in human biospecimens. The method was optimized for separation and detection of 40 fatty acids. Mean recovery for tridecanoic acid was x(tridecanoic acid) = 90.51% and for nonadecanoic acid x(nonadecanoic acid) = 96.21%. Thus, there was no significant loss of fatty acids with shorter and longer carbon chains over the extraction process to be expected. Limit of detections were calculated in adipose tissue samples and ranged from 0.007 to 0.077% of the proportion of the respective fatty acid to total fatty acids. The third aim was the investigation if differentiation between breast glandular and adipose tissue had a relevant impact on the analysis of dietary fatty acid biomarkers or if contamination of breast glandular with breast adipose tissue and vice versa was neglectable for the analysis of dietary fatty acid biomarkers. No statistical significant differences were observed for all investigated fatty acid biomarkers (pentadecanoic-, heptadecanoic-, trans palmitoleic-, eicosapentaenoic-, docosahexaenoic-, linoleic and α-linolenic acid) between breast glandular and adipose tissue. Thus, differentiation between breast glandular and adipose tissue seems not to be necessary for the analysis of fatty acids serving as biomarkers for the intake of specific food groups. Potential influence of mixed breast tissue on fatty acid biomarkers analysis seems to be neglectable. The fourth aim was the determination of fatty acid biomarkers in adipose tissue in another study population from healthy participants. 27 adipose tissue samples were analyzed. Milk and ruminant fat biomarkers exhibited proportions of 0.47% for pentadecanoic acid, 0.34% for heptadecanoic acid and 0.25% for trans palmitoleic acid. Fish fatty acid biomarkers revealed proportions of 0.034% for eicosapentaenoic acid and 0.061% for docosahexaenoic acid. The mean proportion of vegetable oils and nuts biomarkers were 9.58% for linoleic acid and 0.48% for α-linolenic acid in all adipose tissues. Principle component analysis was applied for the fatty acid biomarkers to provide objective markers of habitual diet for this study population. PCdiet1 was mainly characterized by pentadecanoic acid, heptadecanoic acid and trans palmitoleic acid and therefore served as a principle component for the dietary intake of milk and ruminant fat. PCdiet2 and PCdiet3 only exhibited pattern for ω3 and ω6 fatty acids but not for dietary intake of specific food groups and could therefore not used as objective marker. PCdiet1, 2 and 3 explained 82.76% of variance. The last aim of this thesis was the elaboration of adverse reactions to food ingredients with special focus on food allergies and food intolerances in the context of a possible implementation into an application for consumer health. Scientific information on adverse reactions to food ingredients and trigger substances was provided in this thesis and possible implementation strategies were evaluated. For food allergens, which have regulatory requirements in the context of labelling, a strategy was elaborated, where it is necessary to provide information on the list of ingredients, the nexus ’contain’ and the respective food allergen as well as information on the name of the product. For food intolerances, which do not have regulatory requirements, limits were shown in the context of the application. If the elaborated food intolerances shall be implemented into the application, a professional dietary concept has to be developed for every food intolerance because of the complexity of the implementation.
As a major component of the articular cartilage extracellular matrix, hyaluronic acid is a widely used biomaterial in regenerative medicine and tissue engineering. According to its well-known interaction with multiple chondrocyte surface receptors which positively affects many cellular pathways, some approaches by combining mesenchymal stem cells and hyaluronic acid-based hydrogels are already driven in the field of cartilage regeneration and fat tissue. Nevertheless, a still remaining major problem is the development of the ideal matrix for this purpose. To generate a hydrogel for the use as a matrix, hyaluronic acid must be chemically modified, either derivatized or crosslinked and the resulting hydrogel is mostly shaped by the mold it is casted in whereas the stem cells are embedded during or after the gelation procedure which does not allow for the generation of zonal hierarchies, cell density or material gradients. This thesis focuses on the synthesis of different hyaluronic acid derivatives and poly(ethylene glycol) crosslinkers and the development of different hydrogel and bioink compositions that allow for adjustment of the printability, integration of growth factors, but also for the material and biological hydrogel, respectively bioink properties.
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.
Mass spectrometry-based quantification of steroids for the diagnostic workup of adrenal tumors
(2023)
Tumors of the adrenal gland belong to the most frequent neoplasms in humans with a prevalence of 3–10 % in adults. The aim of the diagnostic workup is the identification of potentially hormone-secreting and / or malignant tumors, because most of these tumors will require surgical resection. Malignant adrenocortical carcinomas (ACC) are very rare and associated with a poor prognosis in advanced stages, therefore, an early and accurate diagnosis is crucial.
Within this thesis, two liquid chromatography tandem mass spectrometry (LC-MS/MS) methods for the quantification of steroids in different biomaterials were developed to improve the diagnostic workup of adrenal tumors.
First, an LC-MS/MS method for the simultaneous quantification of cortisol and dexamethasone in serum samples after dexamethasone suppression test (DST) was developed, validated, and applied to 400 clinical samples. Newly established method-specific threshold concentrations for cortisol and dexamethasone increased DST specificity from 67.5 % to 92.4 % while preserving 100 % sensitivity.
Second, an LC-MS/MS method for the quantification of eleven urinary steroids was developed and validated to improve the differentiation between ACC and adrenocortical adenomas (ACA). A decision tree requiring only two steroids was trained for classification and tested based on 24 h urine samples from 268 patients with adrenal tumor. Malignancy was excluded with a negative predictive value of 100 % in an independent validation cohort of 84 samples of 24-h urine. A newly proposed simplified diagnostic workflow with urinary steroid profiling as first tier test could obviate additional adrenal-specific imaging in 42 of 64 patients with ACA.
The new DST method is already in clinical use at the University Hospital Würzburg, whereas the classification model based on urinary steroid profiling will require prospective validation in a larger cohort.
As part of the parasympathetic nervous system, muscarinic receptors are involved in the regulation of numerous functions in the human body. However, targeting a specific subtype of muscarinic receptors is challenging due to the high degree of similarity within the binding site of the endogenous neurotransmitter acetylcholine. Therefore, this study focused on the investigation of dualsteric ligands. Such hybrid ligands target the orthosteric acetylcholine binding site and, simultaneously, a distinct allosteric binding site. Since allosteric binding regions show significant structural differences throughout muscarinic receptor subtypes, it was aimed to produce selective ligands by means of combination of two pharmacophores in one molecule. Herein, the thienopyridine derivatives LY2033298 and LY2119620 were chosen as allosteric moieties. Based on literature studies, the investigated allosteric modulators were analyzed in terms of adequate attachment points for the combination with an orthosteric agonist. As orthosteric units, muscarinic superagonist iperoxo, xanomeline, and TMA were applied in this work. Since the distance between orthosteric and allosteric moieties plays a crucial role for dualsteric ligand binding, the linker chain length was also varied. Pharmacological investigations of the synthesized hybrid ligands were perfomed via FRET- and BRET-assay measurements.
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 monarch butterfly (Danaus plexippus) performs one of the most astonishing behaviors in the animal kingdom: every fall millions of these butterflies leave their breeding grounds in North Amerika and migrate more than 4.000 km southwards until they reach their overwintering habitat in Central Mexico. To maintain their migratory direction over this enormous distance, the butterflies use a time-compensated sun compass. Beside this, skylight polarization, the Earth’s magnetic field and specific mountain ranges seem to guide the butterflies as well the south. In contrast to this fascinating orientation ability, the behavior of the butterflies in their non-migratory state received less attention. Although they do not travel long distances, they still need to orient themselves to find food, mating partners or get away from competitors. The aim of the present doctoral thesis was to investigate use of visual cues for orientation in migrating as well as non-migrating monarch butterflies. For this, field experiments investigating the migration of the butterflies in Texas (USA) were combined with experiments testing the orientation performance of non-migratory butterflies in Germany.
In the first project, I recorded the heading directions of tethered butterflies during their annual fall migration. In an outdoor flight simulator, the butterflies maintained a southwards direction as long as they had a view of the sun’s position. Relocating the position of the sun by 180° using a mirror, revealed that the sun is the animals’ main orientation reference. Furthermore, I demonstrated that when the sun is blocked and a green light stimulus (simulated sun) is introduced, the animals interpreted this stimulus as the ‘real’ sun. However, this cue was not sufficient to set the migratory direction when simulated as the only visual cue in indoor experiments. When I presented the butterflies a linear polarization pattern additionally to the simulated sun, the animals headed in the correct southerly direction showing that multiple skylight cues are required to guide the butterflies during their migration.
In the second project, I, furthermore, demonstrated that non-migrating butterflies are able to maintain a constant direction with respect to a simulated sun. Interestingly, they ignored the spectral component of the stimulus and relied on the intensity instead. When a panoramic skyline was presented as the only orientation reference, the butterflies maintained their direction only for short time windows probably trying to stabilize their flight based on optic-flow information. Next, I investigated whether the butterflies combine celestial with local cues by simulating a sun stimulus together with a panoramic skyline. Under this conditions, the animals’ directedness was increased demonstrating that they combine multiple visual cues for spatial orientation.
Following up on the observation that a sun stimulus resulted in a different behavior than the panoramic skyline, I investigated in my third project which orientation strategies the butterflies use by presenting different simulated cues to them. While a bright stripe on a dark background elicited a strong attraction of the butterflies steering in the direction of the stimulus, the inverted version of the stimulus was used for flight stabilization. In contrast to this, the butterflies maintained arbitrary directions with a high directedness with respect to a simulated sun. In an ambiguous scenery with two identical stimuli (two bright stripes, two dark stripes, or two sun stimuli) set 180° apart, a constant flight course was only achieved when two sun stimuli were displayed suggesting an involvement of the animals’ internal compass. In contrast, the butterflies used two dark stripes for flight stabilization and were alternatingly attracted by two bright stripes. This shows that monarch butterflies use stimulus-dependent orientation strategies and gives the first evidence for different neuronal pathways controlling the output behavior.
To reach their target site, systemic pesticides must enter the plant from a spray droplet applied in the field. The uptake of an active ingredient (AI) takes place via the barrier-forming cuticular membrane, which is the outermost layer of the plant, separating it from the surrounding environment. Formulations are usually used which, in addition to the AI, also contain stabilizers and adjuvants. Adjuvants can either have surface-active properties or they act directly as barrier-modifying agents. The latter are grouped in the class of accelerating adjuvants, whereby individual variants may also have surface-active properties. The uptake of a pesticide from a spray droplet depends essentially on its permeability through the cuticular barrier. Permeability defines a combined parameter, which is the product of AI mobility and AI solubility within the cuticle. In recent decades, several tools have been developed that allowed the determination of individual parameters of organic compound penetration across the cuticular membrane. Nevertheless, earlier studies showed that mainly cuticular waxes are the barrier-determining component of the cuticular membrane and additionally, it was shown that mainly the very-long-chain aliphatic compounds (VLCAs) are responsible for establishing an effective barrier. However, the barrier-determining role of the individual VLCAs, being classified according to their respective functional groups, is still unknown.
Therefore, the following objectives were pursued and achieved in this work: (1) A new ATR-FTIR-based approach was developed to measure the temperature-dependent real-time diffusion kinetics of organic models for active ingredients (AIs) in paraffin wax, exclusively consisting of very-long chain alkanes. (2) The developed ATR-FTIR approach was applied to determine the diffusion kinetics of self-accelerating adjuvants in cuticular model waxes of different VLCA composition. At the same time, wax-specific changes were recorded in the respective IR spectra, which provided information about the respective wax modification. (3) The ATR-FTIR method was used to characterize the diffusion kinetics, as well as to determine the wax-specific sorption capacities for an AI-modeling organic compound and water in cuticular model waxes after adjuvant treatment. Regarding the individual chemical compositions and structures, conclusions were drawn about the adjuvant-specific modes of action (MoA).
In the first chapter, the ATR-FTIR based approach to determine organic compound diffusion kinetics in paraffin wax was successfully established. The diffusion kinetics of the AI modelling organic compounds heptyl parabene (HPB) and 4-cyanophenol (CNP) were recorded, comprising different lipophilicities and molecular volumes typical for AIs used in pesticide formulations. Derived diffusion coefficients ranged within 10-15 m2 s-1, thus being thoroughly higher than those obtained from previous experiments using an approach solely investigating desorption kinetics in reconstituted cuticular waxes. An ln-linear dependence between the diffusion coefficients and the applied diffusion temperature was demonstrated for the first time in cuticular model wax, from which activation energies were derived. The determined activation energies were 66.2 ± 7.4 kJ mol-1 and 56.4 ± 9.8 kJ mol-1, being in the expected range of already well-founded activation energies required for organic compound diffusion across cuticular membranes, which again confirmed the significant contribution of waxes to the cuticular barrier. Deviations from the assumed Fickian diffusion were attributed to co-occurring water diffusion and apparatus-specific properties.
In the second and third chapter, mainly the diffusion kinetics of accelerating adjuvants in the cuticular model waxes candelilla wax and carnauba wax were investigated, and simultaneously recorded changes in the wax-specific portion of the IR spectrum were interpreted as indications of plasticization. For this purpose, the oil derivative methyl oleate, as well as the organophosphate ester TEHP and three non-ionic monodisperse alcohol ethoxylates (AEs) C12E2, C12E4 and C12E6 were selected. Strong dependence of diffusion on the respective principal components of the mainly aliphatic waxes was demonstrated. The diffusion kinetics of the investigated adjuvants were faster in the n-alkane dominated candelilla wax than in the alkyl ester dominated carnauba wax. Furthermore, the equilibrium absorptions, indicating equilibrium concentrations, were also higher in candelilla wax than in carnauba wax. It was concluded that alkyl ester dominated waxes feature higher resistance to diffusion of accelerating adjuvants than alkane dominated waxes with shorter average chain lengths due to their structural integrity. This was also found either concerning candelilla/policosanol (n-alcohol) or candelilla/rice bran wax (alkyl-esters) blends: with increasing alcohol concentration, the barrier function was decreased, whereas it was increased with increasing alkyl ester concentration. However, due to the high variability of the individual diffusion curves, only a trend could be assumed here, but significant differences were not shown. The variability itself was described in terms of fluctuating crystalline arrangements and partial phase separation of the respective wax mixtures, which had inevitable effects on the adjuvant diffusion. However, diffusion kinetics also strongly depended on the studied adjuvants. Significantly slower methyl oleate diffusion accompanied by a less pronounced reduction in orthorhombic crystallinity was found in carnauba wax than in candelilla wax, whereas TEHP diffusion was significantly less dependent on the respective wax structure and therefore induced considerable plasticization in both waxes. Of particular interest was the AE diffusion into both waxes. Differences in diffusion kinetics were also found here between candelilla blends and carnauba wax. However, these depended equally on the degree of ethoxylation of the respective AEs. The lipophilic C12E2 showed approximately Fickian diffusion kinetics in both waxes, accompanied by a drastic reduction in orthorhombic crystallinity, especially in candelilla wax, whereas the more hydrophilic C12E6 showed significantly retarded diffusion kinetics associated with a smaller effect on orthorhombic crystallinity. The individual diffusion kinetics of the investigated adjuvants sometimes showed drastic deviations from the Fickian diffusion model, indicating a self-accelerating effect. Hence, adjuvant diffusion kinetics were accompanied by a distinct initial lag phase, indicating a critical concentration in the wax necessary for effective penetration, leading to sigmoidal rather than to exponential diffusion kinetics.
The last chapter dealt with the adjuvant-affected diffusion of the AI modelling CNP in candelilla and carnauba wax. Using ATR-FTIR, diffusion kinetics were recorded after adjuvant treatment, all of which were fully explicable based on the Fickian model, with high diffusion coefficients ranging from 10-14 to 10-13 m2 s-1. It is obvious that the diffusion coefficients presented in this work consistently demonstrated plasticization induced accelerated CNP mobilities. Furthermore, CNP equilibrium concentrations were derived, from which partition- and permeability coefficients could be determined. Significant differences between diffusion coefficients (mobility) and partition coefficients (solubility) were found on the one hand depending on the respective waxes, and on the other hand depending on treatment with respective adjuvants. Mobility was higher in candelilla wax than in carnauba wax only after methyl oleate treatment. Treatment with TEHP and AEs resulted in higher CNP mobility in the more polar alkyl ester dominated carnauba wax. The partition coefficients, on the other hand, were significantly lower after methyl oleate treatment in both candelilla and carnauba wax as followed by TEHP or AE treatment. Models were designed for the CNP penetration mode considering the respective adjuvants in both investigated waxes. Co-penetrating water, which is the main ingredient of spray formulations applied in the field, was likely the reason for the drastic differences in adjuvant efficacy. Especially the investigated AEs favored an enormous water uptake in both waxes with increasing ethoxylation level. Surprisingly, this effect was also found for the lipophilic TEHP in both waxes. This led to the assumption that the AI permeability is not exclusively determined by adjuvant induced plasticization, but also depends on a “secondary plasticization”, induced by adjuvant-attracted co-penetrating water, consequently leading to swelling and drastic destabilization of the crystalline wax structure.
The successful establishment of the presented ATR-FTIR method represents a milestone for the study of adjuvant and AI diffusion kinetics in cuticular waxes. In particular, the simultaneously detectable wax modification and, moreover, the determinable water uptake form a perfect basis to establish the ATR-FTIR system as a universal screening tool for wax-adjuvants-AI-water interaction in crop protection science.
In highly polarized neurons, endoplasmic reticulum (ER) forms a dynamic and continuous network in axons that plays important roles in lipid synthesis, Ca2+ homeostasis and the maintenance of synapses. However, the mechanisms underlying the regulation of axonal ER dynamics and its function in regulation of local translation still remain elusive. In the course of my thesis, I investigated the fast dynamic movements of ER and ribosomes in the growth cone of wildtype motoneurons as well as motoneurons from a mouse model of Spinal Muscular Atrophy (SMA), in response to Brain-derived neurotrophic factor (BDNF) stimulation. Live cell imaging data show that ER extends into axonal growth cone filopodia along actin filaments and disruption of actin cytoskeleton by cytochalasin D treatment impairs the dynamic movement of ER in the axonal filopodia. In contrast to filopodia, ER movements in the growth cone core seem to depend on coordinated actions of the actin and microtubule cytoskeleton. Myosin VI is especially required for ER movements into filopodia and drebrin A mediates actin/microtubule coordinated ER dynamics. Furthermore, we found that BDNF/TrkB signaling induces assembly of 80S ribosomes in growth cones on a time scale of seconds. Activated ribosomes relocate to the presynaptic ER and undergo local translation. These findings describe the dynamic interaction between ER and ribosomes during local translation and identify a novel potential function for the presynaptic ER in intra-axonal synthesis of transmembrane proteins such as the α-1β subunit of N-type Ca2+ channels in motoneurons. In addition, we demonstrate that in Smn-deficient motoneurons, ER dynamic movements are impaired in axonal growth cones that seems to be due to impaired actin cytoskeleton. Interestingly, ribosomes fail to undergo rapid structural changes in Smn-deficient growth cones and do not associate to ER in response to BDNF. Thus, aberrant ER dynamics and ribosome response to extracellular stimuli could affect axonal growth and presynaptic function and maintenance, thereby contributing to the pathology of SMA.
The landscape of today’s programming languages is manifold. With the diversity of applications, the difficulty of adequately addressing and specifying the used programs increases. This often leads to newly designed and implemented domain-specific languages. They enable domain experts to express knowledge in their preferred format, resulting in more readable and concise programs. Due to its flexible and declarative syntax without reserved keywords, the logic programming language Prolog is particularly suitable for defining and embedding domain-specific languages.
This thesis addresses the questions and challenges that arise when integrating domain-specific languages into Prolog. We compare the two approaches to define them either externally or internally, and provide assisting tools for each. The grammar of a formal language is usually defined in the extended Backus–Naur form. In this work, we handle this formalism as a domain-specific language in Prolog, and define term expansions that allow to translate it into equivalent definite clause grammars. We present the package library(dcg4pt) for SWI-Prolog, which enriches them by an additional argument to automatically process the term’s corresponding parse tree. To simplify the work with definite clause grammars, we visualise their application by a web-based tracer.
The external integration of domain-specific languages requires the programmer to keep the grammar, parser, and interpreter in sync. In many cases, domain-specific languages can instead be directly embedded into Prolog by providing appropriate operator definitions. In addition, we propose syntactic extensions for Prolog to expand its expressiveness, for instance to state logic formulas with their connectives verbatim. This allows to use all tools that were originally written for Prolog, for instance code linters and editors with syntax highlighting. We present the package library(plammar), a standard-compliant parser for Prolog source code, written in Prolog. It is able to automatically infer from example sentences the required operator definitions with their classes and precedences as well as the required Prolog language extensions. As a result, we can automatically answer the question: Is it possible to model these example sentences as valid Prolog clauses, and how?
We discuss and apply the two approaches to internal and external integrations for several domain-specific languages, namely the extended Backus–Naur form, GraphQL, XPath, and a controlled natural language to represent expert rules in if-then form. The created toolchain with library(dcg4pt) and library(plammar) yields new application opportunities for static Prolog source code analysis, which we also present.
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.
Enterococcus faecalis and Enterococcus faecium are major nosocomial pathogens. Despite their relevance to public health and their role in the development of bacterial antibiotic resistance, relatively little is known about gene regulation in these species. RNA–protein complexes serve crucial functions in all cellular processes associated with gene expression, including post-transcriptional control mediated by small regulatory RNAs (sRNAs). Here, we present a new resource for the study of enterococcal RNA biology, employing the Grad-seq technique to comprehensively predict complexes formed by RNA and proteins in E. faecalis V583 and E. faecium AUS0004. Analysis of the generated global RNA and protein sedimentation profiles led to the identification of RNA–protein complexes and putative novel sRNAs. Validating our data sets, we observe well-established cellular RNA–protein complexes such as the 6S RNA–RNA polymerase complex, suggesting that 6S RNA-mediated global control of transcription is conserved in enterococci. Focusing on the largely uncharacterized RNA-binding protein KhpB, we use the RIP-seq technique to predict that KhpB interacts with sRNAs, tRNAs, and untranslated regions of mRNAs, and might be involved in the processing of specific tRNAs. Collectively, these datasets provide departure points for in-depth studies of the cellular interactome of enterococci that should facilitate functional discovery in these and related Gram-positive species. Our data are available to the community through a user-friendly Grad-seq browser that allows interactive searches of the sedimentation profiles (https://resources.helmholtz-hiri.de/gradseqef/).
Azobenzene derivatives with activity against drug‐resistant Candida albicans and Candida auris
(2023)
Increasing resistance against antimycotic drugs challenges anti‐infective therapies today and contributes to the mortality of infections by drug‐resistant Candida species and strains. Therefore, novel antifungal agents are needed. A promising approach in developing new drugs is using naturally occurring molecules as lead structures. In this work, 4,4'‐dihydroxyazobenzene, a compound structurally related to antifungal stilbene derivatives and present in Agaricus xanthodermus (yellow stainer), served as a starting point for the synthesis of five azobenzene derivatives. These compounds prevented the growth of both fluconazole‐susceptible and fluconazole‐resistant Candida albicans and Candida auris strains. Further in vivo studies are required to confirm the potential therapeutic value of these compounds.
[\(^{223}\)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\(_2\).
We introduce fluorescence-detected pump–probe microscopy by combining a wavelength-tunable ultrafast laser with a confocal scanning fluorescence microscope, enabling access to the femtosecond time scale on the micrometer spatial scale. In addition, we obtain spectral information from Fourier transformation over excitation pulse-pair time delays. We demonstrate this new approach on a model system of a terrylene bisimide (TBI) dye embedded in a PMMA matrix and acquire the linear excitation spectrum as well as time-dependent pump–probe spectra simultaneously. We then push the technique towards single TBI molecules and analyze the statistical distribution of their excitation spectra. Furthermore, we demonstrate the ultrafast transient evolution of several individual molecules, highlighting their different behavior in contrast to the ensemble due to their individual local environment. By correlating the linear and nonlinear spectra, we assess the effect of the molecular environment on the excited-state energy.
The last years have witnessed an exciting scientific quest for intriguing topological phenomena in time-dependent quantum systems. A key to many manifestations of topology in dynamical systems relies on the effective dimensional extension by time-periodic drives. An archetypal example is provided by the Thouless pump in one spatial dimension, where a robust and quantized charge transport can be described in terms of an integer quantum Hall effect upon interpreting time as an extra dimension. Generalizing this fundamental concept to multifrequency driving, a variety of higher-dimensional topological models can be engineered in dynamical synthetic dimensions, where the underlying topological classification leads to quantized pumping effects in the associated lower-dimensional time-dependent systems.
In this Thesis, we explore how correlations profoundly impact the topological features of dynamical synthetic quantum materials. More precisely, we demonstrate that the interplay of interaction and dynamical synthetic dimension gives rise to striking topological phenomena that go beyond noninteracting implementations. As a starting point, we exploit the Floquet counterpart of an integer quantum Hall scenario, namely a two-level system driven by two incommensurate frequencies. In this model, the topologically quantized response translates into a process in which photons of different frequencies are exchanged between the external modes, referred to as topological frequency conversion. We extend this prototypical setup to an interacting version, focusing on the minimal case of two correlated spins equally exposed to the external drives. We show that the topological invariant determining the frequency conversion can be changed by odd integers, something explicitly forbidden in the noninteracting limit of two identical spins. This correlated topological feature may, in turn, result in an enhancement of the quantized response.
Robust response signals, such as those predicted for the topological frequency converter, are of fundamental interest for potential technological applications of topological quantum matter. Based on an open quantum system implementation of the frequency converter, we propose a novel mechanism of topological quantization coined ''topological burning glass effect''. Remarkably, this mechanism amplifies the local response of the driven two-level system by an integer that is proportional to the number of environmental degrees of freedom to which the system is strongly coupled. Specifically, our findings are illustrated by the extension of the frequency converter to a central spin model. There, the local energy transfer mediated exclusively by the central spin is significantly enhanced by the collective motion of the surrounding spins. In this sense, the central spin adopts the topological nature of the total system in its non-unitary dynamics, taking into account the correlations with the environment.
The aim of this study was to determine the potential of some Ghanaian underutilized legumes in helping to reduce the problems of poverty, hunger and malnutrition among the vulnerable group of the Ghanaian population. The study looked into the functional properties, fat and fatty acid distribution, raffinose, sucrose, glucose, fructose, calcium, magnesium, sodium, potassium, iron, copper, manganese, zinc, cyanide and isoflavone contents of raw and processed seed flours of Cajanus cajan, Canavalia ensiformis, Canavalia gladiata, Mucuna pruriens, Parkia biglobosa, Phaseolus lunatus and Vigna subterranea. The parameters mentioned above were also determined for raw fruit flour of Dialium guineense. In addition to these, the study also looked into the crude protein and starch contents of the raw and processed seed flours of Canavalia gladiata, Parkia biglobosa and Vigna subterranea. The obtained results suggest that the legumes may have untapped potential, which may be exploited to help assist in reducing hunger, malnutrition and poverty in Ghana. Results of the functional properties reveal that the legumes may serve useful roles in various food products. For instance, velvet tamarind (Dialium guineense) flour may be useful in infant food formulations because of it high solubility and low bulk density. African Locust bean (Parkia biglobosa) flour had the highest fat content among the studied flours, recording a fat content of approximately 14%. It may therefore be economical to express the oil and use the oil as an edible oil or for industrial applications for products such as soaps, shampoos, paints, etc. This means the properties of the oil of African Locust bean flour need to be studied to know the uses of the oil. Unsaturated fatty acids in the cis configuration formed more than 50% of the fatty acids in all the legumes. This observation coupled with the low sodium content of all the legumes suggest that these legumes may be suitable for consumption to prevent cardiovascular diseases. The daily nutrient needs of individuals can be met by the consumption of the appropriate amounts of these legumes. For example, 375.25 g of processed velvet beans (Mucuna pruriens) flour may be able to meet the adequate intake (AI) of 350 mg/day magnesium for adult males.
Social contact is an integral part of daily life. Its health-enhancing effects include reduced negative affective experiences of fear and anxiety, a phenomenon called social buffering. This dissertation studied different forms of social contact and their anxiety-buffering effects with diverse methodologies.
The laboratory-based first study investigated minimal social contact in the context of pain relief learning. Results showed that the observed decreased autonomic and increased subjective fear responses following pain relief learning were independent of social influence. The minimalistic and controlled social setting may have prevented social buffering. Study 2 targeted social buffering in daily life using Ecological Momentary Assessment. We repeatedly assessed individuals’ state anxiety, related cardiovascular responses, and aspects of social interactions with smartphones and portable sensors on five days. Analyses of over 1,500 social contacts revealed gender-specific effects, e.g., heart rate-reducing effects of familiarity in women, but not men. Study 3 examined anxiety, loneliness, and related social factors in the absence of social contact due to social distancing. We constructed and validated a scale measuring state and trait loneliness and isolation, and analysed its link to mental health. Results include a social buffering-like relation of lower anxiety with more trait sociability and sense of belonging.
In sum, the studies showed no fear reduction by minimal social contact, but buffering effects relating to social and personal factors in more complex social situations. Anxiety responses during daily social contacts were lower with more familiar or opposite-gender interaction partners. During limited social contact, lower anxiety related to inter-individual differences in sociability, social belonging, and loneliness. By taking research from lab to life, this dissertation underlined the diverse nature of social contact and its relevance to mental health.
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.
The fusion of methods from several disciplines is a crucial component of scientific development. Artificial Neural Networks, based on the principle of biological neuronal networks, demonstrate how nature provides the best templates for technological advancement. These innovations can then be employed to solve the remaining mysteries of biology, including, in particular, processes that take place on microscopic scales and can only be studied with sophisticated techniques. For instance, direct Stochastic Optical Reconstruction Microscopy combines tools from chemistry, physics, and computer science to visualize biological processes at the molecular level. One of the key components is the computer-aided reconstruction of super-resolved images. Improving the corresponding algorithms increases the quality of the generated data, providing further insights into our biology. It is important, however, to ensure that the heavily processed images are still a reflection of reality and do not originate in random artefacts.
Expansion microscopy is expanding the sample by embedding it in a swellable hydrogel. The method can be combined with other super-resolution techniques to gain additional resolution. We tested this approach on microtubules, a well-known filamentous reference structure, to evaluate the performance of different protocols and labelling techniques.
We developed LineProfiler an objective tool for data collection. Instead of collecting perpendicular profiles in small areas, the software gathers line profiles from filamentous structures of the entire image. This improves data quantity, quality and prevents a biased choice of the evaluated regions. On the basis of the collected data, we deployed theoretical models of the expected intensity distribution across the filaments. This led to the conclusion that post-expansion labelling significantly reduces the labelling error and thus, improves the data quality. The software was further used to determine the expansion factor and arrangement of synaptonemal complex data.
Automated Simple Elastix uses state-of-the-art image alignment to compare pre- and post-expansion images. It corrects linear distortions occurring under isotropic expansion, calculates a structural expansion factor and highlights structural mismatches in a distortion map. We used the software to evaluate expanded fungi and NK cells. We found that the expansion factor differs for the two structures and is lower than the overall expansion of the hydrogel.
Assessing the fluorescence lifetime of emitters used for direct Stochastic Optical Reconstruction Microscopy can reveal additional information about the molecular environment or distinguish dyes emitting with a similar wavelength. The corresponding measurements require a confocal scanning of the sample in combination with the fluorescent switching of the underlying emitters. This leads to non-linear, interrupted Point Spread Functions. The software ReCSAI targets this problem by combining the classical algorithm of compressed sensing with modern methods of artificial intelligence. We evaluated several different approaches to combine these components and found, that unrolling compressed sensing into the network architecture yields the best performance in terms of reconstruction speed and accuracy.
In addition to a deep insight into the functioning and learning of artificial intelligence in combination with classical algorithms, we were able to reconstruct the described non-linearities with significantly improved resolution, in comparison to other state-of-the-art architectures.
Current therapeutic strategies efficiently improve survival in patients after myocardial infarction (MI). Nevertheless, long-term consequences such as heart failure development, are still one of the leading causes of death worldwide. Inflammation is critically involved in the cardiac healing process after MI and has a dual role, contributing to both tissue healing and tissue damage. In the last decade, a lot of attention was given to targeting inflammation as a potential therapeutic approach in MI, but the poor understanding of inflammatory cell heterogeneity and function is a limit to the development of immune modulatory strategies. The recent development of tools to profile immune cells with high resolution has provided a unique opportunity to better understand immune cell heterogeneity and dynamics in the ischemic heart.
In this thesis, we employed single-cell RNA-sequencing combined with detection of epitopes by sequencing (CITE-seq) to refine our understanding of neutrophils and monocytes/macrophages heterogeneity and dynamic after experimental myocardial infarction.
Neutrophils rapidly invade the infarcted heart shortly after ischemic damage and have previously been proposed to display time-dependent functional heterogeneity. At the single-cell level, we observed dynamic transcriptional heterogeneity in neutrophil populations during the acute post-MI phase and defined previously unknown cardiac neutrophil states. In particular, we identified a locally acquired SiglecFhi neutrophil state that displayed higher ROS production and phagocytic ability compared to newly recruited neutrophils, suggesting the acquisition of specific function in the infarcted heart. These findings highlight the importance of the tissue microenvironment in shaping neutrophil response.
From the macrophage perspective, we characterized MI-associated monocyte-derived macrophage subsets, two with a pro-inflammatory gene signature (MHCIIhiIl1βhi) and three Trem2hi macrophage populations with a lipid associated macrophage (LAM) signature, also expressing pro-fibrotic and tissue repair genes. Combined analysis of blood monocytes and cardiac monocyte/macrophages indicated that the Trem2hi LAM signature is acquired in the infarcted heart.
We furthermore characterized the role of TREM2, a surface protein expressed mainly in macrophages and involved in macrophage survival and function, in the post-MI macrophage response and cardiac repair. Using TREM2 deficient mice, we demonstrate that acquisition of the LAM signature in cardiac macrophages after MI is partially dependent on TREM2. While their cardiac function was not affected, TREM2 deficient mice showed reduced collagen deposition in the heart after MI. Thus, our data in Trem2-deficient mice highlight the role of TREM2 in promoting a macrophage pro-fibrotic phenotype, in line with the pro-fibrotic/tissue repair gene signature of the Trem2hi LAM-signature genes.
Overall, our data provide a high-resolution characterization of neutrophils and macrophage heterogeneity and dynamics in the ischemic heart and can be used as a valuable resource to investigate how these cells modulate the healing processes after MI. Furthermore, our work identified TREM2 as a regulator of macrophage phenotype in the infarcted heart
The universal two-child policy was introduced by the central government of China in 2016 to respond to the country’s deteriorating population problems, but it was soon replaced by a three-child policy in 2021 given that it failed to continuously boost fertility in Chinese society. This dissertation empirically investigates the implementation of universal two-child policy in three Chinese major cities. Based on the data collected through semi-structured interviews with leaders of local family planning agencies, it finds that local officials are primarily devoted to coping with the discontent of the bereaved single-child parents (shidu families), which is an unexpected consequence of the historical one-child policy, rather than working on the tasks regarding birth encouragement. The dissertation suggests understanding the implementation of China’s population policy within the framework of both historical and rational choice institutionalism. The target responsibility system as an effective tool of the central authority drives local agents to fix their attention at tasks that have larger impact on their career. The shifted focus in the implementation of the universal two-child policy is a result of local officials’ emphasis on the task of maintaining social stability. Shidu families are deemed as a salient threat to social order because their discontent with the state support has incurred continuous petitions at both the national and local level, which would severely undermine local officials’ career advancement. However, in the meantime, stability maintenance is found to have become alienated as reflected by the rising costs and that it replaced birth support to be the focus of local family planning agents in the universal two-child policy era. Since the conflict between the shidu group and the state is unlikely to be resolved, the future population policy design and enforcement will continue to be constrained by the shidu problem.
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\(_4\).
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.
“In Other News”: China’s International Media Strategy on Xinjiang — CGTN and New China TV on YouTube
(2023)
In the Western world China stands accused of severe human rights violations regarding its treatment of the Uyghurs and other predominantly Muslim minorities in its northwestern Xinjiang Uyghur Autonomous Region. This is the first article to systematically analyze the response of China’s international state media to these allegations. By studying the YouTube channels of two leading Chinese state media, China Global Television Network (CGTN) and New China TV (operated by Xinhua News Agency), it presents an indepth understanding of how China’s foreign-facing propaganda works in a crucial case. The quantitative content analysis highlights how China reacted to increasing international (mostly United States) pressure regarding its Xinjiang policies by producing higher volumes of videos and putting out new counternarratives. The qualitative analysis that follows provides in-depth treatment of the most important discourses that Chinese media engage in to salvage the nation’s international image, namely those on development, culture, nature, and terrorism. It finds several ways of countering criticism, ranging from presenting a positive image of China, in line with traditional propaganda guidelines and President Xi Jinping’s assignment to state media to “tell the China story well,” to more innovative approaches. Thus the development narrative becomes more personalized, the discourse on culture supports the “heritagization process” to incorporate minority cultures into a harmonized “Chinese civilization,” representations of nature firmly tie Xinjiang into the discourse of “beautiful China,” the “terror narrative” strategically employs shocking footage in an attempt to gain international “discourse power,” etc. The article provides an up-to-date picture of China’s state media strategy on a highly contentious international issue.
Contributors
(2023)
In this article we offer initial insights into the fairly new interdisciplinary and international domain of robotics in Christian religious practice. We are a group of scholars in media ethics, practical theology/religious education, and human computer interaction, who have been engaged in this discourse since 2017.
A natural starting point is our study of BlessU2, a “blessing robot,” a device which received considerable recognition from the global public at the Wittenberg 500th reformation anniversary in 2017. We thus begin with the results of this study. Secondly, we will briefly address the relevant theses from Gabriele Trovato et al., as presented in their 2019 article on so-called theomorphic robots – followed by our interdisciplinary discussion of their approach. Finally, we draw conclusions for further work on the field of “religious robots.”
Somewhat more carefully: Section 1 offers starting points within the perspectives of Christian religious practice: here, the blessing robot is both cause and occasion for doing religion and theologizing in the context of existential questions (1.1). We continue with perceptions in the field of religion regarding “Discursive Design Theory” (1.2). The interaction of humans with computers as posing questions for theological standardization of religious practice is focused upon in 1.3. Section 2 reconstructs the HRI/HCI-initiative to develop theomorphic robots in a twofold manner, i.e., the idea of developing theomorphic robots (2.1) and the concept of theomorphic robots: Questions and objections (2.2). In this part of the article we raise discussion points concerning the relationship between technology and religion and the need for sharpening the understanding of religion within the research field. Section 3 closes with propositions and alternatives.
Acknowledgements
(2023)
A New International
(2023)
Perylene bisimides (PBIs) are among the best fluorophores but have to be enwrapped for optoelectronic applications by large and heavy substituents to prevent their ππ‐stacking, which is known to accelerate non‐radiative decay processes in the solid state. Here, light‐weight di‐tert‐butylsilyl groups are introduced to bridge 1,12‐dihydroxy and 1,6,7,12‐tetrahydroxy PBIs to afford sublimable dyes for vacuum‐processed optoelectronic devices. For both new compounds, this substitution provides a twisted and shielded perylene π‐core whose, via OSiObridges, rigid structure affords well‐resolved absorption and emission spectra with strong fluorescence in solution, as well as in the solid state. The usefulness of these dyes for vacuum‐processed optoelectronic devices is demonstrated in organic light‐emitting diodes (OLEDs) that show monomer‐like emission spectra and high maximum external quantum efficiency (EQEmax) values of up to 3.1% for the doubly silicon‐bridged PBI.
Inflammation and oxidative stress represent physiological response mechanisms to different types of stimuli and injury during critical illness. Its proper regulation is fundamental to cellular and organismal survival and are paramount to outcomes and recovery from critical illness. A proper maintenance of the delicate balance between inflammation, oxidative stress, and immune response is crucial for resolution from critical illness with important implications for patient outcome. The extent of inflammation and oxidative stress under normal conditions is limited by the antioxidant defense system of the human body, whereas the antioxidant capacity is commonly significantly compromised, and serum levels of micronutrients and vitamins significantly depleted in patients who are critically ill. Hence, the provision of antioxidants and anti-inflammatory nutrients may help to reduce the extent of oxidative stress and therefore improve clinical outcomes in patients who are critically ill. As existing evidence of the beneficial effects of antioxidant supplementation in patients who are critically ill is still unclear, actual findings about the most promising anti-inflammatory and antioxidative candidates selenium, vitamin C, zinc, and vitamin D will be discussed in this narrative review. The existing evidence provided so far demonstrates that several factors need to be considered to determine the efficacy of an antioxidant supplementation strategy in patients who are critically ill and indicates the need for adequately designed multicenter prospective randomized control trials to evaluate the clinical significance of different types and doses of micronutrients and vitamins in selected groups of patients with different types of critical illness.
Small bacterial regulatory RNAs (sRNAs) have been implicated in the regulation of numerous metabolic pathways. In most of these studies, sRNA-dependent regulation of mRNAs or proteins of enzymes in metabolic pathways has been predicted to affect the metabolism of these bacteria. However, only in a very few cases has the role in metabolism been demonstrated. Here, we performed a combined transcriptome and metabolome analysis to define the regulon of the sibling sRNAs NgncR_162 and NgncR_163 (NgncR_162/163) and their impact on the metabolism of Neisseria gonorrhoeae. These sRNAs have been reported to control genes of the citric acid and methylcitric acid cycles by posttranscriptional negative regulation. By transcriptome analysis, we now expand the NgncR_162/163 regulon by several new members and provide evidence that the sibling sRNAs act as both negative and positive regulators of target gene expression. Newly identified NgncR_162/163 targets are mostly involved in transport processes, especially in the uptake of glycine, phenylalanine, and branched-chain amino acids. NgncR_162/163 also play key roles in the control of serine-glycine metabolism and, hence, probably affect biosyntheses of nucleotides, vitamins, and other amino acids via the supply of one-carbon (C\(_1\)) units. Indeed, these roles were confirmed by metabolomics and metabolic flux analysis, which revealed a bipartite metabolic network with glucose degradation for the supply of anabolic pathways and the usage of amino acids via the citric acid cycle for energy metabolism. Thus, by combined deep RNA sequencing (RNA-seq) and metabolomics, we significantly extended the regulon of NgncR_162/163 and demonstrated the role of NgncR_162/163 in the regulation of central metabolic pathways of the gonococcus.
Wind energy is a key option in global dialogues about climate change mitigation. Here, we combined observations from surface wind stations, reanalysis datasets, and state‐of‐the‐art regional climate models from the Coordinated Regional Climate Downscaling Experiment (CORDEX Africa) to study the current and future wind energy potential in Zambia. We found that winds are dominated by southeasterlies and are rarely strong with an average speed of 2.8 m·s\(^{−1}\). When we converted the observed surface wind speed to a turbine hub height of 100 m, we found a ~38% increase in mean wind speed for the period 1981–2000. Further, both simulated and observed wind speed data show statistically significant increments across much of the country. The only areas that divert from this upward trend of wind speeds are the low land terrains of the Eastern Province bordering Malawi. Examining projections of wind power density (WPD), we found that although wind speed is increasing, it is still generally too weak to support large‐scale wind power generation. We found a meagre projected annual average WPD of 46.6 W·m\(^{−2}\). The highest WPDs of ~80 W·m\(^{−2}\) are projected in the northern and central parts of the country while the lowest are to be expected along the Luangwa valley in agreement with wind speed simulations. On average, Zambia is expected to experience minor WPD increments of 0.004 W·m\(^{−2}\) per year from 2031 to 2050. We conclude that small‐scale wind turbines that accommodate cut‐in wind speeds of 3.8 m·s\(^{−1}\) are the most suitable for power generation in Zambia. Further, given the limitations of small wind turbines, they are best suited for rural and suburban areas of the country where obstructions are few, thus making them ideal for complementing the government of the Republic of Zambia's rural electrification efforts.
Polymeric Janus Fibers
(2023)
Janus fibers are a class of composite materials comprising mechanical and chemical to biological functionality. Combining different materials and functionalities in one micro- or even nanoscale fiber enables otherwise unreachable synergistic physicochemical effects with unprecedented opportunities for technical or biomedical applications. Here, recent developments of processing technologies and applications of polymeric Janus fibers will be reviewed. Various examples in the fields of textiles, catalysis, sensors as well as medical applications, like drug delivery systems, tissue engineering and antimicrobial materials, are presented to illuminate the outstanding potential of such high-end functional materials for novel applications in the upcoming future.
Given the growing interest of corporate stakeholders in Metaverse applications, there is a need to understand accessibility of these technologies for marginalized populations such as people living with dementia to ensure inclusive design of Metaverse applications. We assessed the accessibility of extended reality technology for people living with mild cognitive impairment and dementia to develop accessibility guidelines for these technologies. We used four strategies to synthesize evidence for barriers and facilitators of accessibility: (1) Findings from a non-systematic literature review, (2) guidelines from well-researched technology, (3) exploration of selected mixed reality technologies, and (4) observations from four sessions and video data of people living with dementia using mixed reality technologies. We utilized template analysis to develop codes and themes towards accessibility guidelines. Future work can validate our preliminary findings by applying them on video recordings or testing them in experiments.
The fast and accurate yield estimates with the increasing availability and variety of global satellite products and the rapid development of new algorithms remain a goal for precision agriculture and food security. However, the consistency and reliability of suitable methodologies that provide accurate crop yield outcomes still need to be explored. The study investigates the coupling of crop modeling and machine learning (ML) to improve the yield prediction of winter wheat (WW) and oil seed rape (OSR) and provides examples for the Free State of Bavaria (70,550 km2), Germany, in 2019. The main objectives are to find whether a coupling approach [Light Use Efficiency (LUE) + Random Forest (RF)] would result in better and more accurate yield predictions compared to results provided with other models not using the LUE. Four different RF models [RF1 (input: Normalized Difference Vegetation Index (NDVI)), RF2 (input: climate variables), RF3 (input: NDVI + climate variables), RF4 (input: LUE generated biomass + climate variables)], and one semi-empiric LUE model were designed with different input requirements to find the best predictors of crop monitoring. The results indicate that the individual use of the NDVI (in RF1) and the climate variables (in RF2) could not be the most accurate, reliable, and precise solution for crop monitoring; however, their combined use (in RF3) resulted in higher accuracies. Notably, the study suggested the coupling of the LUE model variables to the RF4 model can reduce the relative root mean square error (RRMSE) from −8% (WW) and −1.6% (OSR) and increase the R
2 by 14.3% (for both WW and OSR), compared to results just relying on LUE. Moreover, the research compares models yield outputs by inputting three different spatial inputs: Sentinel-2(S)-MOD13Q1 (10 m), Landsat (L)-MOD13Q1 (30 m), and MOD13Q1 (MODIS) (250 m). The S-MOD13Q1 data has relatively improved the performance of models with higher mean R
2 [0.80 (WW), 0.69 (OSR)], and lower RRMSE (%) (9.18, 10.21) compared to L-MOD13Q1 (30 m) and MOD13Q1 (250 m). Satellite-based crop biomass, solar radiation, and temperature are found to be the most influential variables in the yield prediction of both crops.
Atmospheric circulation is a key driver of climate variability, and the representation of atmospheric circulation modes in regional climate models (RCMs) can enhance the credibility of regional climate projections. This study examines the representation of large‐scale atmospheric circulation modes in Coupled Model Inter‐comparison Project phase 5 RCMs once driven by ERA‐Interim, and by two general circulation models (GCMs). The study region is Western Europe and the circulation modes are classified using the Promax rotated T‐mode principal component analysis. The results indicate that the RCMs can replicate the classified atmospheric modes as obtained from ERA5 reanalysis, though with biases dependent on the data providing the lateral boundary condition and the choice of RCM. When the boundary condition is provided by ERA‐Interim that is more consistent with observations, the simulated map types and the associating time series match well with their counterparts from ERA5. Further, on average, the multi‐model ensemble mean of the analysed RCMs, driven by ERA‐Interim, indicated a slight improvement in the representation of the modes obtained from ERA5. Conversely, when the RCMs are driven by the GCMs that are models without assimilation of observational data, the representation of the atmospheric modes, as obtained from ERA5, is relatively less accurate compared to when the RCMs are driven by ERA‐Interim. This suggests that the biases stem from the GCMs. On average, the representation of the modes was not improved in the multi‐model ensemble mean of the five analysed RCMs driven by either of the GCMs. However, when the best‐performed RCMs were selected on average the ensemble mean indicated a slight improvement. Moreover, the presence of the North Atlantic Oscillation (NAO) in the simulated modes depends also on the lateral boundary conditions. The relationship between the modes and the NAO was replicated only when the RCMs were driven by reanalysis. The results indicate that the forcing model is the main factor in reproducing the atmospheric circulation.
A series of novel imide‐functionalized C\(_{64}\) nanographenes is investigated as acceptor components in organic solar cells (OSCs) in combination with donor polymer PM6. These electron‐poor molecules either prevail as a monomer or self‐assemble into dimers in the OSC active layer depending on the chosen imide substituents. This allows for the controlled stacking of electron‐poor and electron‐rich π–scaffolds to establish a novel class of non‐fullerene acceptor materials to tailor the bulk‐heterojunction morphology of the OSCs. The best performance is observed for derivatives that are able to self‐assemble into dimers, reaching power conversion efficiencies of up to 7.1%.
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.
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.
Recent computing advances are driving the integration of artificial intelligence (AI)-based systems into nearly every facet of our daily lives. To this end, AI is becoming a frontier for enabling algorithmic decision-making by mimicking or even surpassing human intelligence. Thereupon, these AI-based systems can function as decision support systems (DSSs) that assist experts in high-stakes use cases where human lives are at risk. All that glitters is not gold, due to the accompanying complexity of the underlying machine learning (ML) models, which apply mathematical and statistical algorithms to autonomously derive nonlinear decision knowledge. One particular subclass of ML models, called deep learning models, accomplishes unsurpassed performance, with the drawback that these models are no longer explainable to humans. This divergence may result in an end-user’s unwillingness to utilize this type of AI-based DSS, thus diminishing the end-user’s system acceptance.
Hence, the explainable AI (XAI) research stream has gained momentum, as it develops techniques to unravel this black-box while maintaining system performance. Non-surprisingly, these XAI techniques become necessary for justifying, evaluating, improving, or managing the utilization of AI-based DSSs. This yields a plethora of explanation techniques, creating an XAI jungle from which end-users must choose. In turn, these techniques are preliminarily engineered by developers for developers without ensuring an actual end-user fit. Thus, it renders unknown how an end-user’s mental model behaves when encountering such explanation techniques.
For this purpose, this cumulative thesis seeks to address this research deficiency by investigating end-user perceptions when encountering intrinsic ML and post-hoc XAI explanations. Drawing on this, the findings are synthesized into design knowledge to enable the deployment of XAI-based DSSs in practice. To this end, this thesis comprises six research contributions that follow the iterative and alternating interplay between behavioral science and design science research employed in information systems (IS) research and thus contribute to the overall research objectives as follows: First, an in-depth study of the impact of transparency and (initial) trust on end-user acceptance is conducted by extending and validating the unified theory of acceptance and use of technology model. This study indicates both factors’ strong but indirect effects on system acceptance, validating further research incentives. In particular, this thesis focuses on the overarching concept of transparency. Herein, a systematization in the form of a taxonomy and pattern analysis of existing user-centered XAI studies is derived to structure and guide future research endeavors, which enables the empirical investigation of the theoretical trade-off between performance and explainability in intrinsic ML algorithms, yielding a less gradual trade-off, fragmented into three explainability groups. This includes an empirical investigation on end-users’ perceived explainability of post-hoc explanation types, with local explanation types performing best. Furthermore, an empirical investigation emphasizes the correlation between comprehensibility and explainability, indicating almost significant (with outliers) results for the assumed correlation. The final empirical investigation aims at researching XAI explanation types on end-user cognitive load and the effect of cognitive load on end-user task performance and task time, which also positions local explanation types as best and demonstrates the correlations between cognitive load and task performance and, moreover, between cognitive load and task time. Finally, the last research paper utilizes i.a. the obtained knowledge and derives a nascent design theory for XAI-based DSSs. This design theory encompasses (meta-) design requirements, design principles, and design features in a domain-independent and interdisciplinary fashion, including end-users and developers as potential user groups. This design theory is ultimately tested through a real-world instantiation in a high-stakes maintenance scenario.
From an IS research perspective, this cumulative thesis addresses the lack of research on perception and design knowledge for an ensured utilization of XAI-based DSS. This lays the foundation for future research to obtain a holistic understanding of end-users’ heuristic behaviors during decision-making to facilitate the acceptance of XAI-based DSSs in operational practice.
As opposed to general expectation and perception, doctoral graduates do not necessarily strive for or realize the ideal-typical academic career. In many Western countries, career opportunities and paths for doctoral graduates have diversified, and academia is not their only occupational destination, with a large proportion leaving academia to work in public service, in companies’ research and development departments, or in non-profit organizations. Against this background, this thesis examines postdoctoral careers by means of the midterm occupational destinations and professional success among doctoral graduates in the academic and non-academic labour markets in Germany. With regard to occupational destinations, I investigate where doctoral graduates are employed following graduation and how their occupational destinations can be explained. With regard to professional success, I investigate various objective and subjective success indicators related to the returns to doctoral degrees — such as earnings, management positions, and job satisfaction — and systematically include the graduates’ occupational destinations in the analyses. I also consider social inequalities regarding both research topics.
The article presents results from the project Religious Education Laboratory digital (RELab digital): At a time when exclusive access to religion in the classroom seems less and less plausible, the concept of digital religion education we propose leads back to the existential needs for religion. It can refer to the thematic fields of digital religions, which in turn are not new for religious education, but remix its traditions and themes in the mirror of transforming communication cultures: authority, community, truth, communication, autonomy, religion, identity, and ritual.
Chapter 1 contains a description of the project structure. Chapter 2 is dedicated to the pedagogical challenge of teaching Religious Education (RE) in the digital change. Chapter 3 reflects from a pedagogical standpoint on empirical findings of the project, which were developed in the context of classroom observations and interviews. Chapter 4 focuses on topics related to the profession of teachers: What self-concepts are pursued by teachers of Religious Education and/or can be reconstructed through the way they act in the classroom? How can the often critical perceptions of teachers who use digital media in religious education be put to good use in the future? The conclusion bundles the most important insights and highlights examples of further research.
Emotional shifts are often a fundamental part of the narrative experience and engrained into the schematic structures of stories. Recent theoretical work suggests that these shifts are key for narrative influence and are interconnected with transportation, a known mechanism of narrative effects. Empirical research examining this proposition is still scarce, inconclusive, and lacking measures that assess the experience of emotional shifts throughout a narrative to explain effects. This thesis aims to contribute to this research lacuna and investigates the link between emotional shifts, transportation, and story-consistent outcomes using different methods to measure emotional shifts in the moment they occur (Manuscript #1 and #2), and using various narrative stimuli (audiovisual, written, auditive).
Manuscript #1 uses real-time-response (RTR) measurement to examine the relationship of valence shifts experienced during film viewing with transportation and post-exposure self-reported emotional flow. Manuscript #2 reports a pilot study and two experiments in which a self-probed emotional retrospection task is used to measure the number and intensity of emotional shifts during reading. I investigate the effect of reviews on transportation, the link between transportation and emotional shifts, and their respective associations with story-consistent attitudes, social sharing intentions, and donation behavior. In Manuscript #3, narrative structures are manipulated. Two experiments examine the effects of audio stories with shifting (positive-negative-positive) vs. positive-only emotional trajectories on the experience of happiness- and sadness-shifts, transportation, and post-exposure emotional flow.
Transportation was positively linked to valence shifts (M#1), and the number and intensity of emotional shifts (M#2), and emotional flow (M#1, M#3). In M#3, transportation was predicted by shifts in happiness, but not sadness. Emotional flow was linked to shifts in happiness, sadness, and RTR valence (M#1, M#3). Emotional shifts and transportation were associated with social sharing intentions, but only transportation was linked to some story-consistent attitudes (affective attitudes in particular).
We propose that false beliefs about own current economic status are an important factor for explaining populist attitudes. Eliciting subjects’ receptiveness to rightwing populism and their perceived relative income positions in a representative survey of German households, we find that people with pessimistic beliefs about their income position are more attuned to populist statements. Key to understanding the misperception-populism relationship are strong gender differences in the mechanism: men are much more likely to channel their discontent into affection for populist ideas. A simple information provision does neither sustainably reduce misperception nor curb populism.
The necessary adjustments to prominent measures of the neutral rate of interest following the COVID pandemic sparked a wide-ranging debate on the measurement and usefulness of r-star. Due to high uncertainty about relevant determinants, trend patterns and the correct estimation method, we propose in this paper a simple alternative approach derived from a standard macro model. Starting from a loss function, neutral periods can be determined in which a neutral real interest rate is observable. Using these values, a medium-term trend for a neutral interest rate can be determined. An application to the USA shows that our simple calculation of a neutral interest rate delivers comparable results to existing studies. A Taylor rule based on our neutral interest rate also does a fairly good job of explaining US monetary policy over the past 60 years.
This thesis, first, is devoted to the theoretical and numerical investigation of an augmented Lagrangian method for the solution of optimization problems with geometric constraints, subsequently, as well as constrained structured optimization problems featuring a composite objective function and set-membership constraints. It is then concerned to convergence and rate-of-convergence analysis of proximal gradient methods for the composite optimization problems in the presence of the Kurdyka--{\L}ojasiewicz property without global Lipschitz assumption.
Government support for green technologies and renewable energy in particular has become an integral cornerstone of economic policy for most industrialized economies. Due to competitive price determination and supposedly higher efficiency, auctions have in recent years widely succeeded feed-in-tariffs as the primary support instrument (del Rio & Linares, 2014; REN21, 2021). However, literature still struggles to produce causal evidence to validate mostly descriptive findings for efficiency gains. Yet, this evidence is needed as a foundation to provide robust recommendations to policy makers (Grashof et al., 2020). By utilizing a difference-in-differences approach, this paper provides such evidence for a German photovoltaic (PV) auctioning program which came into effect in 2015. Results for this natural experiment confirm that cost-effectiveness improved significantly while previous literature shows that capacity expansion remained high. Results additionally show that falling prices for PV panels were the primary driver of cost reductions and wages also exert high influence on support price. Input cost development therefore indeed strongly influences support level which was the aim with introducing competitive auctions. Interest rate development cannot be linked to support level development, most probably due to the low interest environment in considered period.
Sphingolipid long-chain bases (LCBs) are the building blocks of the biosynthesis of sphingolipids. They
are defined as structural elements of the plant cell membrane and play an important role
determining the fate of the cells. Complex ceramides represent a substantial fraction of total
sphingolipids which form a major part of eukaryotic membranes. At the same time, LCBs are well
known signaling molecules of cellular processes in eukaryotes and are involved in signal transduction
pathways in plants. High levels of LCBS have been shown to be associated with the induction of
programmed cell death as well as pathogen-derived toxin-induced cell death. Indeed, several studies
confirmed the regulatory function of sphingobases in plant programmed cell death (PCD):
(i) Spontaneous PCD and altered cell death reaction caused by mutated related genes of sphingobase
metabolism. (ii) Cell death conditions increases levels of LCBs. (iii) PCD due to interfered sphingolipid
metabolism provoked by toxins produced from necrotrophic pathogens, such as Fumonisin B1 (FB1).
Therefore, to prevent cell death and control cell death reaction, the regulation of levels of free LCBs
can be crucial.
The results of the present study challenged the comprehension of sphingobases and sphingolipid
levels during PCD. We provided detailed analysis of sphingolipids levels that revealed correlations of
certain sphingolipid species with cell death. Moreover, the investigation of sphingolipid biosynthesis
allowed us to understand the flux after the accumulation of high LCB levels. However, further
analysis of degradation products or sphingolipid mutant lines, would be required to fully understand
how high levels of sphingobases are being treated by the plant.
Venus Research Station
(2023)
Because of the extreme conditions in the atmosphere, Venus has been less explored than for example Mars. Only a few probes have been able to survive on the surface for very short periods in the past and have sent data. The atmosphere is also far from being fully explored. It could even be that building blocks of life can be found in more moderate layers of the planet’s atmosphere. It can therefore be assumed that the planet Venus will increasingly become a focus of exploration. One way to collect significantly more data in situ is to build and operate an atmospheric research station over an extended period of time. This could carry out measurements at different positions and at different times and thus significantly expand our knowledge of the planet. In this work, the design of a Venus Research Station floating within the Venusian atmosphere is presented, which is complemented by the design of deployable atmospheric Scouts. The design of these components is done on a conceptual basis.
This study describes the Chinese growth model over the past 40 years. We show that China's growth model, with its dominant role of the banking system and "the banker", is a perfect illustration of the necessity and power of Schumpeter's "monetary analysis". This approach has allowed us to elaborate theoretically and empirically the uniqueness of the Chinese model. In our empirical analysis, we use a new dataset of Chinese provincial data to analyze the impact of the financial system, especially banks, on Chinese economic development. We also empirically assess the role of the financial system in Chinese industrial policy and provide case studies of the effects of industrial policy in specific sectors. Finally, we also discuss macroeconomic dimensions of the Chinese growth process and lessons that can be drawn from the Chinese experience for other countries.
A tolane-modified 5-ethynyluridine as a universal and fluorogenic photochemical DNA crosslinker
(2023)
We report the fluorescent nucleoside ToldU and its application as a photoresponsive crosslinker in three different DNA architectures with enhanced fluorescence emission of the crosslinked products. The fluorogenic ToldU crosslinking reaction enables the assembly of DNA polymers in a hybridization chain reaction for the concentration-dependent detectio of a specific DNA sequence.
We report the synthesis and spectroscopic analysis of RNA containing the barbituric acid merocyanine rBAM2 as a nucleobase surrogate. Incorporation into RNA strands by solid-phase synthesis leads to fluorescence enhancement compared to the free chromophore. In addition, linear absorption studies show the formation of an excitonically coupled H-type dimer in the hybridized duplex. Ultrafast third- and fifth-order transient absorption spectroscopy of this non-fluorescent dimer suggests immediate (sub-200 fs) exciton transfer and annihilation due to the proximity of the rBAM2 units.
Strumpellin is a member of the highly conserved pentameric WASH complex, which stimulates the Arp2/3 complex on endosomes and induces the formation of a branched actin network. The WASH complex is involved in the formation and stabilisation of endosomal retrieval subdomains and transport carriers, into which selected proteins are packaged and subsequently transported to their respective cellular destination, e.g. the plasma membrane. Up until now, the role of Strumpellin in platelet function and endosomal trafficking has not been researched. In order to examine its role, a conditional knockout mouse line was generated, which specifically lacked Strumpellin in megakaryocytes and platelets.
Conditional knockout of Strumpellin resulted in only a mild platelet phenotype. Loss of Strumpellin led to a decreased abundance of the αIIbβ3 integrin in platelets, including a reduced αIIbβ3 surface expression by approximately 20% and an impaired αIIbβ3 activation after platelet activation. The reduced surface expression of αIIbβ3 was also detected in megakaryocytes. The expression of other platelet surface glycoproteins was not affected. Platelet count, size and morphology remained unaltered. The reduction of αIIbβ3 expression in platelets resulted in a reduced fibrinogen binding capacity after platelet activation. However, fibrinogen uptake under resting conditions, although slightly delayed, as well as overall fibrinogen content in Strumpellin-deficient platelets were comparable to controls. Most notably, reduced αIIbβ3 expression did not lead to any platelet spreading and aggregation defects in vitro. Furthermore, reduced WASH1 protein levels were detected in the absence of Strumpellin.
In conclusion, loss of Strumpellin does not impair platelet function, at least not in vitro. However, the data demonstrates that Strumpellin plays a role in selectively regulating αIIbβ3 surface expression. As a member of the WASH complex, Strumpellin may regulate αIIbβ3 recycling back to the platelet surface. Furthermore, residual WASH complex subunits may still assemble and partially function in the absence of Strumpellin, which could explain the only 20% decrease in αIIbβ3 surface expression. Nonetheless, the exact mechanism still remains unclear.
N-heterocyclic carbenes (NHC) are utilized for the stabilization of reactive compounds, for the activation of strong bonds, and as ligands in transition metal chemistry. In contrast to neutral NHCs, few examples of anionic or even dianionic NHCs are known. One approach for the synthesis of anionic carbenes is the deprotonation of neutral or anionic precursors, bearing Lewis acids instead of alkyl or aryl substituents. Following this strategy, novel anionic and dianionic NHCs, featuring weakly coordinating fluorinated borane and phosphorane substituents or coordinating tricyanoborane substituents were synthesized within the scope of this thesis. These carbenes possess unprecedented stabilities compared to related species. Furthermore, their electronic and steric properties can be directly adjusted by the type of Lewis acid attached. Their potential as ligands with highly shielding weakly coordinating substituents next to the carbene coordination center was demonstrated by the syntheses of the respective NHC selenium adducts and NHC gold(I) complexes. In contrast anionic NHCs with coordinating tricyanoborane moieties have an outstanding potential as ditopic ligands with coordination being possible at the carbene center and via the cyano groups. Their beneficial ligand properties were demonstrated by the syntheses of the respective NHC selenium adducts and NHC nickeltricarbonyl complexes. The combination of electronic properties, the large buried volume, the negative charge, the possibility to act as ditopic or ligands with weakly coordinating groups, and the ease of accessibility render borane- and phosphorane functionalized NHCs unique novel ligands. A further project of this PhD thesis deals with the steric properties of Lewis acids. Therefore, an easy-to-apply model was designed to quantify the steric demand of Lewis acids. Using the results of this evaluation, a second model was developed which judges the steric repulsion in Lewis acid/base adduct formation for arbitrary sets of acids and bases.
In all the projects presented, it is evident that the selection of suitable separation conditions is only one side of the coin. Equally crucial in the development of methods for the quality assessment of APIs/drugs is the right detection system.
The application of CAD as an alternative to UV detection at low wavelength of the two weak chromophore main degradation products of the very polar, zwitterionic API carbocisteine requires the volatility of the mobile phase. Therefore, as a substitute for the non-volatile ion pairing reagent tetrabutylammonium hydroxide (TBAOH), six different volatile alkylamines as well as a RP/SAX mixed-mode column were evaluated. The best selectivity and separation performance comparable to TBAOH was achieved with the RP/SAX column and a mixture of formic acid and trifluoroacetic acid. For the simultaneous optimisation of the evaporation temperature of the CAD as a function of two chromatographic parameters, a central composite design was chosen and the “desirability function” was subsequently applied for modelling. In addition, column bleeding was investigated with a second RP/SAX column (different batch) with the result that the acetonitrile percentage had to be adjusted and preconditioning by injection of concentrated samples is essential. The final mixed-mode method was finally validated with both columns according to the ICH Q2 (R1) guideline.
Based on this, an MS-compatible method was developed with little effort using an identical RP/SAX column in UPLC dimension for the untargeted analysis by HRMS of two carbocisteine-containing prototype syrup formulations. For a comprehensive characterisation, HRMS and MS/HRMS data were recorded simultaneously by information dependent acquisition mode. Based on the exact masses, isotope patterns and an in silico plausibility check of the fragment spectra, the prediction of the structures of the unknown impurities was possible. In both syrup samples, which had been stored for nine months at 40 °C and 75 % r.h., two additional impurities of carbocisteine (i.e. lactam of the sulfoxides and disulphide between cysteine and thioglycolic acid) were identified by comparison with the corresponding prototype placebo samples using general unknown comparative screening. In addition, the formation of Maillard products by binary mixtures with 13C-labelled sugars was revealed in the sucrose-containing formulation.
For the promising hyphenation of the UV detector with the CAD for the simultaneous detection of all UV-active impurities of the cholesterol-lowering drug simvastatin and the only weak chromophore dihydrosimvastatin, the Ph. Eur. method had to be adapted. Besides replacing phosphoric acid with trifluoroacetic acid, the gradient also had to be adjusted and a third critical peak pair was observed. Based on validation experiments (according to the ICH Q2 (R1) guideline), the suitability of the CAD for sensitive detection (LOQ = 0.0175 % m/m) was proven.
To further investigate the robustness of the adapted method and CAD, a Plackett-Burman design was chosen. None of the factors had a statistically significant effect on the S/N of the CAD in the ranges tested. Regarding the three critical peak pairs, on the other hand, the factors to be controlled were statistically established, so that a targeted correction is possible if the system suitability test is not passed. The idea of employing a hyphenated UV-CAD system was finally applied to the structurally closely related lovastatin and its specified impurity dihydrolovastatin. Here, the CAD showed a significantly better S/N compared to the compendial UV detection at 200 nm.
The suitability of CAD for the analysis of non-volatile fatty acids in polysorbate 80 (PS80) as favourable alternative to the Ph. Eur. GC method (no time-consuming, error-prone and toxic derivatisation) has already been demonstrated. The aim of this project was therefore to develop a robust method with a focus on the AQbD principles, which can be used for the analysis of other excipients with similar fatty acid composition. After the definition of the analytical target profile and a risk assessment by means of an Ishikawa diagram, a suitable C18 column and the chromatographic framework conditions (formic acid concentration and initial/final gradient conditions) were selected after only few preliminary runs. The remaining critical method parameters were then investigated with the help of DoE and RSM. Using the obtained model equations, Monte Carlo simulations were performed to create the method operable design region as a region of theoretical robustness. After validation according to ICH Q2 (R1), the fatty acid composition of a magnesium stearate batch was successfully analysed as a further application example in addition to PS80.
The CAD was able to prove its potential in all the issues investigated in the context of this doctoral thesis. As a cost-effective alternative compared to MS instruments, it thus closes a gap in the quality assessment of APIs or excipients without a suitable chromophore. The easy method transfer to (HR)MS instruments also allows for a unique degree of sample characterisation through untargeted approaches in case of new impurities. For resource- and time-efficient work, the possibilities and limitations of software tools for method development and data evaluation as well as the application of risk-based approaches such as AQbD should also be considered.
Platelets are anucleated cell fragments derived from megakaryocytes. They play a fundamental role in hemostasis, but there is rising evidence that they are also involved in immunological processes. Despite absence of a nucleus, human platelets are capable of de novo protein synthesis and contain a fully functional proteasome system, which is, in nucleated cells, involved in processes like cell cycle progression or apoptosis by its ability of protein degradation. The physiological significance of the proteasome system in human platelets is not yet fully understood and subject of ongoing research.
Therefore, this study was conducted with the intention to outline the role of the proteasome system for functional characteristics of human platelets. For experimentation, citrated whole blood from healthy donors was obtained and preincubated with proteasome inhibitors. In addition to the commonly used bortezomib, the potent and selective proteasome inhibitor carfilzomib was selected as a second inhibitor to rule out agent-specific effects and to confirm that observed changes are related to proteasome inhibition.
Irreversibly induced platelet activation and aggregation were not affected by proteasome blockade with bortezomib up to 24 hours. Conversely, proteasome inhibition led to enhanced threshold aggregation and agglutination up to 25 %, accompanied by partial alleviation of induced VASP phosphorylation of approximately 10-15 %. Expression of different receptors were almost unaffected. Instead, a significant increase of PP2A activity was observable in platelets after proteasome blockade, accompanied by facilitated platelet adhesion to coated surfaces in static experiments or flow chamber experiments.
Carfilzomib, used for the first time in functional experimentation with human platelets in vitro, led to a dose-dependent decrease of proteasome activity with accumulation of poly ubiquitylated proteins. Like bortezomib, carfilzomib treatment resulted in enhanced threshold aggregation with attenuated VASP phosphorylation.
As the main conclusion of this thesis, proteasome inhibition enhances the responsiveness of human platelets, provided by an alleviation of platelet inhibitory pathways and by an additional increase of PP2A activity, resulting in facilitated platelet adhesion under static and flow conditions. The proteasome system appears to be involved in the promotion of inhibitory counterregulation in platelets. The potential of proteasome inhibitors for triggering thromboembolic adverse events in patients must be clarified in further studies, in addition to their possible use for targeting platelet function to improve the hemostatic reactivity of platelets.
SUMOylation, as a post-translational modification, plays a crucial role in several biological processes. Small ubiquitin-like modifier (SUMO) proteins can be reversibly linked to the lysine residues located within specific motifs on numerous target proteins, leading to the change of stability, localization, activity of target proteins, mostly by promoting or interfering with the interaction with other molecules. Consequently, it can regulate gene transcription, migration, cell cycle progression, cellular responses to stress, and tumorigenesis.
NFATc1 belongs to the Nuclear Factor of Activated T-cells (NFAT) transcription factor family, which is dephosphorylated and translocates to the nucleus upon cell stimulation, which provokes Ca2+ signalling. NFAT plays a crucial role in the development and function of the immune system. NFATc1 has three SUMOylation sites at the position of aa 349, 702, and 914. In our previous study, we demonstrated that point mutations performed on the SUMOylation sites on all three or only at the lysine residues K702 and K914 lead to enhanced expression of IL-2 in vitro. To evaluate the function of SUMOylation of NFATc1 on T cell-mediated immunity in vivo, we not only generated a transgenic mouse strain (NFATc1/ΔS+ mouse) by point mutations from Lysine to Arginine on the two SUMOylation sites within exon 10 of Nfatc1 to prevent their SUMOylation, but in combination created another mouse strain (NFATc1/ΔBC+ mouse) that is completely Nfatc1 exon 10-ablated by using the LoxP/Cre system. In NFATc1/ΔS+ T cells, we observed enhanced IL-2 production and less IL-17A and IFN-γ expression. In line with exon 10 bearing the relevant SUMO sites, NFATc1/ΔBC+ CD4+ T cells behaved similarly as NFATc1/ΔS+ ones. The mechanism is that elevated IL-2 secretion can counteract the expression of IL-17A and IFN-γ via STAT5 and Blimp-1 induction. Afterwards, Blimp-1 suppressed IL-2 itself as well as Bcl2A1. Next, we performed two disease models with our NFATc1/ΔS+ mice. In a major mismatch model for acute graft-versus-host disease, we found that the mice transplanted with NFATc1/ΔS+ CD3+ T cells developed less severe disease, and T cells proliferated less due to increased Tregs. Moreover, when transferring 2D2.NFATc1/ΔS+ Th1 plus Th17 cells to Rag1-/- mice to induce experimental autoimmune encephalitis, we also observed ameliorated disease compared to animals with transferred WT T cells as well as increased Tregs.
Taking all data together, the deficiency in SUMOylation of NFATc1 leads to an elevated IL-2 secretion in T cells and subsequent activation of STAT5, which competes with STAT3 to inhibit IL-17A production and promotes Treg expansion, as well as to an enforcement of Blimp-1 expression, which suppresses IFN-γ and IL-2 expression. Consequently and despite a short phase of enhanced IL-2 secretion, the deficiency of SUMOylation on NFATc1 can protect from autoreactive and alloreactive diseases.
Moreover, to further understand the function of SUMOylation of NFATc1 in humans, we started by establishing an in vitro 3D culture system for tonsil organoids, which was successful in the presence of feeder cells, along with IL-4 and IL-7 cytokines. To confirm that our 3D tonsil organoids can respond to real antigens, we used CMV peptides and peptides of spike proteins from Covid-19 as real antigens, and co-cultured with tonsil organoids, which indeed can generate memory cells and plasmablasts. In the end, we also compared 3D to 2D cultures. Although the total numbers of all B cell subsets were much less in 3D culture than that in 2D culture, still, it indicates that this in-vitro culture system has its limitation, while being usable to produce the similar results as 2D did. Therefore, this 3D culture system can be used as a platform to investigate NFATc1/ΔS+ or NFATc1/ΔBC+ TFH and TFR cells in the dynamic of human GC responses.
Short functional peptidic probes can maximize the potential of high-end microscopy techniques and multiplex imaging assays and provide new insights into normal and aberrant molecular, cellular and tissue function. Particularly, the visualization of inhibitory synapses requires protocol tailoring for different sample types and imaging techniques and relies either on genetic manipulation or on antibodies that underperform in tissue immunofluorescence. Starting from an endogenous activity-related ligand of gephyrin, a universal marker of the inhibitory post-synapse, I developed a short peptidic multivalent binder with exceptional affinity and selectivity to gephyrin. By tailoring fluorophores to the binder, I have obtained Sylite, a probe for the visualization of inhibitory synapses, with an outstanding signal-to-background ratio, that bests the “gold standard” gephyrin antibodies both in selectivity and in tissue immunofluorescence. In tissue Sylite benefits from simplified handling, provides robust synaptic labeling in record-short time and, unlike antibodies, is not affected by staining artefacts. In super-resolution microscopy Sylite precisely localizes the post-synapse and enables accurate pre- to post-synapse measurements. Combined with complimentary tracing techniques Sylite reveals inhibitory connectivity and profiles inhibitory inputs and synapse sizes of excitatory and inhibitory neurons in the periaqueductal gray brain region. Lastly, upon probe optimization for live cell application and with the help of novel thiol-reactive cell penetrating peptide I have visualized inhibitory synapses in living neurons. Taken together, my work provided a versatile probe for conventional and super-resolution microscopy and a workflow for the development and application of similar compact functional synthetic probes.
RNA helicases are key players in the regulation of gene expression. They act by remodeling local RNA secondary structures as well as RNA-protein interactions to enable the dynamic association of RNA binding proteins to their targets. The putative RNA helicase DHX30 is a member of the family of DEAH-box helicases with a putative role in the ATP-dependent unwinding of RNA secondary structures. Mutations in the DHX30 gene causes the autosomal dominant neuronal disease “Neurodevelopmental Disorder with severe Motor Impairment and Absent Language” (NEDMIAL;OMIM#617804). In this thesis, a strategy was established that enabled the large-scale purification of enzymatically active DHX30. Through enzymatic studies performed in vitro, DHX30 was shown to act as an ATP-dependent 3’ → 5’ RNA helicase that catalyzes the unwinding of RNA:RNA and RNA:DNA substrates. Using recombinant DHX30, it could be shown that disease-causing missense mutations in the conserved helicase core caused the disruption of its ATPase and helicase activity. The protein interactome of DHX30 however, was unchanged indicating that the pathogenic missense-mutations do not cause misfolding of DHX30, but rather specifically affect its catalytic activity. DHX30 localizes predominantly in the cytoplasm where it forms a complex with ribosomes and polysomes. Using a cross-linking mass spectrometry approach, a direct interaction of the N-terminal double strand RNA binding domain of DHX30 with sites next to the ribosome’s mRNA entry channel and the subunit interface was uncovered. RNA sequencing of DHX30 knockout cells revealed a strong de-regulation of mRNAs involved in neurogenesis and nervous system development, which is in line with the NEDMIAL disease phenotype. The knockdown of DHX30 results in a decreased 80S peak in polysome gradients, indicating that DHX30 has an effect on the translation machinery. Sequencing of the pool of active translating mRNAs revealed that upon DHX30 knockout mainly 5’TOP mRNAs are downregulated. These mRNAs are coding for proteins of the translational machinery and translation initiation factors. This study identified DHX30 as a factor of the translation machinery that selectively impacts the expression of a subset of proteins and provides insight on the etiology of NEDMIAL.
Additive manufacturing processes such as 3D printing are booming in the industry due to their high degree of freedom in terms of geometric shapes and available materials. Focusing on patient-specific medicine, 3D printing has also proven useful in the Life Sciences, where it exploits the shape fidelity for individualized tissues in the field of bioprinting. In parallel, the current systems of bioreactor technology have adapted to the new manufacturing technology as well and 3D-printed bioreactors are increasingly being developed. For the first time, this work combines the manufacturing of the tissue and a tailored bioreactor, significantly streamlining the overall process and optimally merging the two processes. This way the production of the tissues can be individualized by customizing the reactor to the tissue and the patient-specific wound geometry. For this reason, a common basis and guideline for the cross-device and cross-material use of 3D printers was created initially. Their applicability was demonstrated by the iterative development of a perfusable bioreactor system, made from polydimethylsiloxane (PDMS) and a lignin-based filament, into which a biological tissue of flexible shape can be bioprinted. Cost-effective bioink-replacements and in silico computational fluid dynamics simulations were used for material sustainability and shape development. Also, nutrient distribution and shear stress could be predicted in this way pre-experimentally.
As a proof of functionality and adaptability of the reactor, tissues made from a nanocellulose-based Cellink® Bioink, as well as an alginate-based ink mixed with Me-PMeOx100-b-PnPrOzi100-EIP (POx) (Alginate-POx bioink) were successfully cultured dynamically in the bioreactor together with C2C12 cell line. Tissue maturation was further demonstrated using hMSC which were successfully induced to adipocyte differentiation. For further standardization, a mobile electrical device for automated media exchange was developed, improving handling in the laboratory and thus reduces the probability of contamination.
In contrast to the well described molecular basis for S-type anion currents, the genes underlying R-type anion currents were unknown until 2010. Meyer S. and colleagues (2010) showed that, localized in the guard cell plasma membrane, AtALMT12 is an R-type anion channel involved in stomatal closure. However, knocking out AtALMT12 did not fully shut down R-type currents; the almt12 loss-of-function mutant has residual R-type-like currents indicating that ALMT12 is not the only gene encoding Arabidopsis thaliana R-type channels (Meyer S. et al., 2010). This PhD thesis is focussed on understanding the properties, regulation and molecular nature of the R-type channels in Arabidopsis thaliana plants. To fulfil these aims, the patch clamp technique was used to characterize electrical features of R-type currents in various conditions such as the presence/absence of ATP, variation in cytosolic calcium concentration or the presence of cytosolic chloride. Electrophysiological study revealed many similarities between the features of Arabidopsis thaliana R-type currents (Col0) and residual R-type currents (the almt12 loss-of-function mutant). Strong voltage dependency, channel activity in the same voltage range, position of maximal recorded current and blockage by cytosolic ATP all pointed to a shared phylogenetic origin of the channels underlying these R-type currents. Expression patterns of the ALMT family members for Col0 and the almt12 mutant revealed ALMT13 and AMT14 as potential candidates of the R-type channels. Electrical characterization of Col0, almt12 and the two double loss-of-function mutants (almt12/almt13 and almt12/almt14) strongly suggest that ALMT13 mediates the calcium-dependent R-type current component that is directly regulated by cytosolic calcium. Additionally, similarly to ALMT12, ALMT14 could participate as a calcium-independent R-type anion channel. Differences in response to the cytosolic calcium concentration between ALMT12, ALMT13 and ALMT14 suggest their possible involvement in different signalling pathways leading to stomatal closure. Moreover, a study performed for the two Arabidopsis thaliana ecotypes Col0 and WS showed drastically increased ALMT13 expression for WS, which is related to R-type current properties. The WS ecotype has calcium-dependent R-type current behaviour, while it is calcium-independent in Col0. Furthermore, this plant line showed lower peak current densities compared to Col0 and almt mutants. These facts strongly suggest interaction between ALMT12 and ALMT13, with ALMT13 as a repressor of the ALMT12. Acquired patch clamp data revealed sulphate-dependent increases in ALMT13 current. This could be caused by changes in absolute open probability and/or permeability for sulphate and possibly chloride and links ALMT13 with sulphate-mediated stomatal closure under drought stress. It was then confirmed that ATP affects R-type currents. In contrast to Vicia faba, ATP was identified as a negative regulator of the Arabidopsis thaliana R-type anion channels. The effect of ATP is ambiguous but there is a high probability that it is a result of direct block and phosphorylation. However, the phosphorylation site and place of ATP binding needs further investigation.
The story of the ALMT family, as examined in this thesis, sheds light on the complexity of the stomatal closure process.
Motivated by the perceived great potential of chiral polymers, the presented work aimed at the investigation of synthesis, solubility and optical activity of chiral poly(2,4-disubstituted-2-oxazoline)s. A novel polymeric carrier based on ABA-type triblock copolymers poly(2-oxazoline)s with chiral and racemic hydrophobic blocks was developed for the formulation of chiral and achiral drugs (Fig. 5.1). Poly(2-methyl-2-oxazoline) (pMeOx) was used as hydrophilic A block, and poly(2-ethyl-4-ethyl-2-oxazoline) (pEtEtOx) and poly(2-propyl-4-methyl-2-oxazoline) (pPrMeOx) were used as hydrophobic B blocks. Curcumin (CUR), paclitaxel (PTX) and chiral/racemic ibuprofen (R/S/RS-IBU) were applied as model drugs. Nanoformulations were prepared consisting of these triblock copolymers and model drugs. ...
This PhD thesis addresses the photophysics of selected small organic molecules with the purpose of using them for efficient and even novel light sources. In particular, the studies presented focused on revealing the underlying exciton dynamics and determining the transition rates between different molecular states. It was shown how the specific properties and mechanisms of light emission in fluorescent molecules, molecules with phosphorescence or thermally activated delayed fluorescence (TADF), biradicals, and multichromophores can be utilized to build novel light-emitting devices. The main tool employed here was the analysis of the emitters’ photon statistics, i.e. the analysis of the temporal distribution of emitted photons, during electrical or optical excitation. In the introduction of this work, the working principle of an organic light-emitting diode (OLED) was introduced, while Chapter 2 provided the physical background of the relevant properties of organic molecules and their interaction with light. In particular, the occurrence of discrete energy levels in organic semiconductors and the process of spontaneous light emission were discussed. Furthermore, in this chapter a mathematical formalism was elaborated with the goal to find out what kind of information about the studied molecule can be obtained by analyzing its photon statistics. It was deduced that the intensity correlation function g (2)(t) contains information about the first two factorial moments of the photon statistics and that higher order factorial moments do not contain any additional information about the system under study if the system is always in the same state after the emission of a photon. To conclude the introductory part, Chapter 3 introduced the utilized characterization methods including confocal microscopy of single molecules, time correlated single photon counting and temperature dependent photoluminescence measurements. To provide the background necessary for an understanding of for the following result chapters, in Section 4.1 a closer look was taken at the phenomenon of blinking and photobleaching of individual molecules. For a squaraine-based fluorescent emitter rapid switching between a bright and dark state was observed during photoexcitation. Using literature transition rates between the molecular states, a consistent model was developed that is able to explain the distribution of the residence times of the molecule in the bright and dark states. In particular, an exponential and a power-law probability distribution was measured for the time the molecule resides in tis bright and dark state, respectively. This behavior as well as the change in photoluminescence intensity between the two states was conclusively explained by diffusion of residual oxygen within the sample, which had been prepared in a nitrogen-filled glovebox. For subsequent samples of this work, thin strips of atomic aluminum were deposited on the matrices to serve as oxygen getter material. This not only suppressed the efficiency of photobleaching, but also noticeably prolonged the time prior to photobleaching, which made many of the following investigations possible in the first place. For emitters used in displays, emission properties such as narrow-band luminescence and short fluorescence lifetimes are desired. These properties can be influenced not only by the emitter molecule itself, but also by the interaction with the chosen environment. Therefore, before focusing on the photophysics of individual small organic molecules, Section 4.2 highlighted the interaction of a perylene bisimide-based molecular species with its local environment in a disordered polymethyl methacrylate matrix. In a statistical approach, individual photophysical properties were measured for 32 single molecules and correlations in the variation of the properties were analyzed. This revealed how the local polarity of the molecules’ environment influences their photophysics. In particular, it was shown how an increase in local polarity leads to a red-shifted emission, narrower emission lines, broader vibronic splitting between different emission lines in combination with a smaller Huang-Rhys parameter, and a longer fluorescence lifetime. In the future, these results may help to embed individual chromophores into larger macromolecules to provide the chromophore with the optimal local environment to exhibit the desired emission properties. The next two sections focused on a novel and promising class of chromophores, namely linear coordinated copper complexes, synthesized in the group of Dr. Andreas Steffen at the Institute of Inorganic Chemistry at the University of Würzburg. In copper atoms, the d-orbitals are fully occupied, which prevents undesirable metal-centered d-d⋆ states, which tend to lie low in energy and recombine non-radiatively. Simultaneously, the copper atom provides a flexible coordination geometry, while complexes in their linear form are expected to exhibit the least amount of excited state distortions. Depending on the chosen ligands, these copper complexes can exhibit phosphorescence as well as temperature activated delayed fluorescence. In Section 4.3, a phosphorescent copper complex with a chlorine atom and a 1-(2,6-diisopropylphenyl)-3,3,5,5-tetramethyl-2-pyrrolidine-ylidene- ligand was tested for its suitability as an optically active material in an OLED. For this purpose, an OLED with a polyspirobifluorene-based copolymer matrix and the dopant at a concentration of 20 wt% was electrically excited. Deconvolution of the emission spectrum in contributions from the matrix and the dopant revealed that 60 % of the OLEDs emission was due to the copper complex. It was also shown that the shape of the emission spectrum of the copper complex remains unchanged upon incorporation into the OLED, but is red-shifted by about 233 meV. In Section 4.4, a second copper complex exhibiting thermally activated delayed fluorescence was analyzed. This complex comprised a carbazolate as well as a 2-(2,6- diisopropyl)-phenyl-1,1-diphenyl-isoindol-2-ium-3-ide ligand and was examined in the solid state and at the single-molecule level, where single photon emission was recorded up to an intensity of 78’000 counts per second. The evaluation of the second-order autocorrelation function of the emitted light proved an efficient transition between singlet and triplet excited states on the picosecond time scale. In the solid state, the temperature- dependent fluorescence decay of the complex was analyzed after pulsed photoexcitation in the temperature range between 300 K and 5 K. From these measurements, a small singlet-triplet energy gap of only 65 meV and a triplet sublevel splitting of 3.0 meV were derived. The transition rates between molecular states could also be determined. Here, the fast singlet decay time of τS1 = 9.8ns proved the efficient thermally activated delayed fluorescence process, which was demonstrated for the first time for this new class of copper(I) complexes thus. While the use of thermally activated delayed fluorescence is a potential way to harness otherwise long-living dark triplet states, radicals completely avoid dark triplet states. However, this usually comes with the huge drawback of the molecules being chemically unstable. Therefore, two chemically stable biradical species were synthesized in the framework of the DFG research training school GRK 2112 on Molecular biradicals: structure, properties and reactivity, by Yohei Hattori in the group of Prof. Dr. Christoph Lambert and Rodger Rausch in the group of Prof. Dr. Frank Würthner at the Institute of Organic Chemistry at the University of Würzburg, respectively. In Section 4.5, it was investigated how these molecules can be used in OLEDs. In the first isoindigo based biradical (6,6’-bis(3,5-di-tert-butyl-4-phenoxyl)-1,1’-bis(2- ethylhexyl)-[3,3’-biindolinyl-idene]-2,2’-dione) two tert-butyl moieties kinetically block chemical reactions at the place of the lone electrons and an electron-withdrawing core shifts the electron density into the center of the chromophore. With these properties, it was possible to realize a poly(p-phenylene vinylene) copolymer based OLED doped with the biradical and to observe luminescence during optical as well as electrical excitation. Analyzing shapes of the photo- and electroluminescence spectra at different doping concentrations, Förster resonance energy transfer was determined to be the dominant transition mechanism for excitons from the matrix to the biradical dopants. Likewise, OLEDs could be realized with the second diphenylmethylpyridine based birad- ical (4-(5-(bis(2,4,6-trichlorophenyl)methyl)-4,6-dichloropyridin-2-yl)-N-(4-(5-(bis(2,4,6- -trichlorophenyl)methyl)-4,6-dichloropyridin-2-yl)phenyl)-N-(4-methoxyphenyl)aniline) as dopant. In this biradical, chlorinated diphenylmethyl groups protect the two unpaired electrons. Photo- and electroluminescence spectra showed an emission in the near in- frared spectral range between 750 nm and 1000 nm. Also, Förster resonance energy trans- fer was the dominant energy transfer mechanism with an transfer efficiency close to 100 % even at doping concentrations of only 5 wt%. In addition to demonstrating the working OLEDs based in biradicals, the detection of luminescence of the two biradical species in devices also constitutes an important step toward making use of experimental techniques such as optically detected electron spin resonance, which could provide information about the electronic states of the emitter and their spin manifold during OLED operation. Another class of emitters studied are molecules in which several chromophores are co- valently linked to form a macrocyclic system. The properties of these multichromophores were highlighted in Section 4.6. Here, it was analyzed how the photophysical behavior of the molecules is affected by the covalent linking, which determines the interaction be- tween the chromophores. The first multichromophore, 2,2’-ditetracene, was synthesized by Lena Ross in the group of Prof. Dr. Anke Krüger at the Institute of Organic Chemistry at the University of Würzburg and was analyzed in this work both at the single-molecule level and in its aggregated crystalline form. While the single crystals were purified and grown in a vertical sublimation oven, the samples for the single molecule studies were prepared in matrices of amorphous polymethyl methacrylate and crystalline anthracene. Tetracene was analyzed concurrently to evaluate the effects of covalent linking. In samples where the distance between two molecules is sufficiently large, tetracene and 2,2’-ditracene show matching emission profiles with the only difference in the Franck-Condon factors and a de- creased photoluminescence decay time constant from 14 ns for tetracene to 5 ns for 2,2’- ditracene, which can be attributed to the increased density of the vibrational modes in 2,2’-ditracene. Evaluation of the photon statistics of individual 2,2’-ditracene molecules however showed that the system does not behave as two individual chromophores but as a collective state, preserving the spectral properties of the two tetracene chromophores. Complementary calculations performed by Marian Deutsch in the group of Prof. Dr. Bernd Engels at the Institute of Physical and Theoretical Chemistry at the University of Würzburg helped to understand the processes in the materials and could show that the electronic and vibronic modes of 2,2’-ditracene are superpositions of the modes occurring in tetracene. In contrast, single-crystalline 2,2’-ditetracene behaves significantly different than tetracene, namely exhibiting a red shift in photoluminescence of 150 meV, caused by an altered crys- talline packing that lowers the S1-state energy level. Temperature-dependent photolu- minescence measurements revealed a rich emission pattern from 2,2’-ditetracene single crystals. The mechanisms behind this were unraveled using photoluminescence lifetime density analysis in different spectral regions of the emission spectrum and at different tem- peratures. An excimer state was identified that is located about 5 meV below the S1-state, separated by a 1 meV barrier, and which can decay to the ground state with a time constant of 9 ns. Also, as the S1-state energy level is lowered below the E(S1) ≥ 2 ×E(T1) threshold, singlet fission is suppressed in 2,2’-ditetracene in contrast to tetracene. Therefore, at low temperatures, photoluminescence is enhanced by a factor of 46, which could make 2,2’- ditetracene a useful material for future applications in devices such as OLEDs or lasers. The second multichromophore species, para-xylylene bridged perylene bisimide macrocycles, were synthesized by Peter Spenst in the group of Prof. Dr. Frank Würthner at the Institute of Organic Chemistry at the University of Würzburg, by linking three and four perylene bisimides, respectively. To reveal the exciton dynamics in these macrocycles, highly diluted monomers as well as trimers and tetramers were doped into matrices of polymethyl methacrylate to create thin films in which individual macrocycles could be analyzed. The emission spectra of the macrocycles remained identical to those of the monomers, indicating weak coupling between the chromophores. Single photon emission could be verified for monomers as well as macrocycles, as exciton-exciton annihilation processes suppress the simultaneous emission of two photons from one macrocycle. Nevertheless, the proof of the occurrence of a doubly excited state was obtained by excitation power dependent photon statistics measurements. The formalism developed in the theory part of this thesis for calculating the photon statistics of multichromophore systems was used here to find a theoretical model that matches the experimental results. The main features of this model are a doubly excited state, fast singlet-singlet annihilation, and an efficient transition from the doubly excited state to a dark triplet state. The occurrence of triplet-triplet annihilation was demonstrated in a subsequent experiment in which the macrocycles were excited at a laser intensity well above the saturation intensity of the monomer species. In contrast to the monomers, the trimers and tetramers exhibited neither a complete dark state nor saturation of photoluminescence. Both processes, efficient singlet-singlet and triplet-triplet annihilation make perylene bisimide macrocycles exceptionally bright single photon emitters. These advantages were utilized to realize a room temperature electrically driven fluorescent single photon source. For this purpose, OLEDs were fabricated using polyvinylcarbazole and 2-tert-butylphenyl-5-biphenyl-1,3,4-oxadiazol blends as a host material for perylene bisimide trimers. Photon antibunching could be observed in both optically and electrically driven devices, representing the first demonstration of electrically driven single photon sources using fluorescent emitters at room temperature. As expected from the previous optical experiments, the electroluminescence of the molecules was exceptionally bright, emitting about 105 photons per second, which could be seen even by eye under the microscope. Finally, in the last section 4.7 of this thesis, two additional measurement schemes were proposed as an alternative to the measurement of the second-order correlation function g (2)(t) of single molecules, which only provides information about the first two factorial moments of the molecules’ photon statistics. In the first scheme, the g (3)(t) function was measured with three photodiodes, which is a consequential extension of the Hanbury Brown and Twiss measurement with two photodiodes. It was demonstrated how measuring the g (3)(t) function is able to identify interfering emitters with non-Poisson statistics in the experiment. The second setup was designed with an electro-optic modulator that repeatedly gen- erates photoexcitation in the form of a step function. The recording of luminescence transients for different excitation intensities yields the same results as the correspond- ing g (2)-functions measured on single emitters, both in their shape and in their depen- dence on excitation power. To demonstrate this concept, the TADF emitter TXO-TPA (2- [4-(diphenylamino)phenyl]-10,10-dioxide-9H-thioxanthen-9-one) was doped at a concen- tration of 10−4 wt% in a mCP (1,3-Bis(N-carbazolyl)benzene) matrix. This concentration was low enough that TXO-TPA molecules did not interact with each other, but an ensem- ble of molecules was still present in the detection volume. The intramolecular transition rates between singlet and triplet states of TXO-TPA could be derived with an error of at most 5 %. Other experimental techniques designed to obtain this information require ei- ther lengthy measurements on single molecules, where sample preparation is also often a challenge, or temperature-dependent fluorescence lifetime measurements, which require a cryostat, which in turn places constraints on the sample design used. In future, this ap- proach could establish a powerful method to study external factors influencing molecular transition rates. Overall, this thesis has introduced new molecular materials, revealed their photophys- ical properties, and demonstrated how they can be used to fabricate efficient and even novel light sources.
In the eusocial insect honeybee (Apis mellifera), many sterile worker bees live together with a reproductive queen in a colony. All tasks of the colony are performed by the workers, undergoing age-dependent division of labor. Beginning as hive bees, they take on tasks inside the hive such as cleaning or the producing of larval food, later developing into foragers. With that, the perception of sweetness plays a crucial role for all honeybees whether they are sitting on the honey stores in the hive or foraging for food. Their ability to sense sweetness is undoubtedly necessary to develop and evaluate food sources. Many of the behavioral decisions in honeybees are based on sugar perception, either on an individual level for ingestion, or for social behavior such as the impulse to collect or process nectar. In this context, honeybees show a complex spectrum of abilities to perceive sweetness on many levels. They are able to perceive at least seven types of sugars and decide to collect them for the colony. Further, they seem to distinguish between these sugars or at least show clear preferences when collecting them. Additionally, the perception of sugar is not rigid in honeybees. For instance, their responsiveness towards sugar changes during the transition from in-hive bees (e.g. nurses) to foraging and is linked to the division of labor. Other direct or immediate factors changing responsiveness to sugars are stress, starvation or underlying factors, such as genotype.
Interestingly, the complexity in their sugar perception is in stark contrast to the fact that honeybees seem to have only three predicted sugar receptors.
In this work, we were able to characterize the three known sugar receptors (AmGr1, AmGr2 and AmGr3) of the honeybee fully and comprehensively in oocytes (Manuscript II, Chapter 3 and Manuscript III, Chapter 4). We could show that AmGr1 is a broad sugar receptor reacting to sucrose, glucose, maltose, melezitose and trehalose (which is the honeybees’ main blood sugar), but not fructose. AmGr2 acts as its co-receptor altering AmGr1’s specificity, AmGr3 is a specific fructose receptor and we proved the heterodimerization of all receptors. With my studies, I was able to reproduce and compare the ligand specificity of the sugar receptors in vivo by generating receptor mutants with CRISPR/Cas9. With this thesis, I was able to define AmGr1 and AmGr3 as the honeybees’ basis receptors already capable to detect all sugars of its known taste spectrum.
In the expression analysis of my doctoral thesis (Manuscript I, Chapter 2) I demonstrated that both basis receptors are expressed in the antennae and the brain of nurse bees and foragers. This thesis assumes that AmGr3 (like the Drosophila homologue) functions as a sensor for fructose, which might be the satiety signal, while AmGr1 can sense trehalose as the main blood sugar in the brain. Both receptors show a reduced expression in the brain of foragers when compared with nurse bees. These results may reflect the higher concentrated diet of nurse bees in the hive. The higher number of receptors in the brain may allow nurse bees to perceive hunger earlier and to consume the food their sitting on. Forager bees have to be more persistent to hunger, when they are foraging, and food is not so accessible. The findings of reduced expression of the fructose receptor AmGr3 in the antennae of nurse bees are congruent with my other result that nurse bees are also less responsive to fructose at the antennae when compared to foragers (Manuscript I, Chapter 2). This is possible, since nurse bees sit more likely on ripe honey which contains not only higher levels of sugars but also monosaccharides (such as fructose), while foragers have to evaluate less-concentrated nectar.
My investigations of the expression of AmGr1 in the antennae of honeybees found no differences between nurse bees and foragers, although foragers are more responsive to the respective sugar sucrose (Manuscript I, Chapter 2). Considering my finding that AmGr2 is the co-receptor of AmGr1, it can be assumed that AmGr1 and the mediated sucrose taste might not be directly controlled by its expression, but indirectly by its co-receptor. My thesis therefore clearly shows that sugar perception is associated with division of labor in honeybees and appears to be directly or indirectly regulated via expression.
The comparison with a characterization study using other bee breeds and thus an alternative protein sequence of AmGr1 shows that co-expression of different AmGr1 versions with AmGr2 alters the sugar response differently. Therefore, this thesis provides first important indications that alternative splicing could also represent an important regulatory mechanism for sugar perception in honeybees.
Further, I found out that the bitter compound quinine lowers the reward quality in learning experiments for honeybees (Manuscript IV, Chapter 5). So far, no bitter receptor has been found in the genome of honeybees and this thesis strongly assumes that bitter substances such as quinine inhibit sugar receptors in honeybees. With this finding, my work includes other molecules as possible regulatory mechanism in the honeybee sugar perception as well. We showed that the inhibitory effect is lower for fructose compared to sucrose. Considering that sugar signals might be processed as differently attractive in honeybees, this thesis concludes that the sugar receptor inhibition via quinine in honeybees might depend on the receptor (or its co-receptor), is concentration-dependent and based on the salience or attractiveness and concentration of the sugar present.
With my thesis, I was able to expand the knowledge on honeybee’s sugar perception and formulate a complex, comprehensive overview. Thereby, I demonstrated the multidimensional mechanism that regulates the sugar receptors and thus the sugar perception of honeybees. With this work, I defined AmGr1 and AmGr3 as the basis of sugar perception and enlarged these components to the co-receptor AmGr2 and the possible splice variants of AmGr1. I further demonstrated how those sugar receptor components function, interact and that they are clearly involved in the division of labor in honeybees. In summary, my thesis describes the mechanisms that enable honeybees to perceive sugar in a complex way, even though they inhere a limited number of sugar receptors. My data strongly suggest that honeybees overall might not only differentiate sugars and their diet by their general sweetness (as expected with only one main sugar receptor). The found sugar receptor mechanisms and their interplay further suggest that honeybees might be able to discriminate directly between monosaccharides and disaccharides or sugar molecules and with that their diet (honey and nectar).
Glycoprotein VI (GPVI) is a platelet-specific receptor for collagen and fibrin, regulating important platelet functions such as platelet adhesion and thrombus growth. Although the blockade of GPVI function is widely recognized as a potent anti-thrombotic approach, there are limited studies focused on site-specific targeting of GPVI. Using computational modeling and bioinformatics, we analyzed collagen- and CRP-binding surfaces of GPVI monomers and dimers, and compared the interacting surfaces with other mammalian GPVI isoforms. We could predict a minimal collagen-binding epitope of GPVI dimer and designed an EA-20 antibody that recognizes a linear epitope of this surface. Using platelets and whole blood samples donated from wild-type and humanized GPVI transgenic mice and also humans, our experimental results show that the EA-20 antibody inhibits platelet adhesion and aggregation in response to collagen and CRP, but not to fibrin. The EA-20 antibody also prevents thrombus formation in whole blood, on the collagen-coated surface, in arterial flow conditions. We also show that EA-20 does not influence GPVI clustering or receptor shedding. Therefore, we propose that blockade of this minimal collagen-binding epitope of GPVI with the EA-20 antibody could represent a new anti-thrombotic approach by inhibiting specific interactions between GPVI and the collagen matrix.
Chapter I – Introduction
Global trade of beans of the cacao tree (Theobroma cacao), of which chocolate is produced, contributes to the livelihoods of millions of smallholder farmers. The understorey tree is native to South America but is nowadays cultivated in many tropical regions. In Peru, a South American country with a particularly high cacao diversity, it is common to find the tree cultivated alongside non-crop trees that provide shade, in so-called agroforestry systems. Because of the small scale and low management intensity of such systems, agroforestry is one of the most wildlife-friendly land-use types, harbouring the potential for species conservation. Studying wildlife-friendly land-use is of special importance for species conservation in biodiversity-rich tropical regions such as Peru, where agricultural expansion and intensification are threatening biodiversity. Moreover, there is a growing body of evidence that shows co-occurrence of high biodiversity levels and high yield in wildlife-friendly cacao farming. Yet studies are restricted to non-native cacao countries, and since patterns might be different among continents, it is important to improve knowledge on wildlife-friendly agroforestry in native countries.
Because studies of wildlife-friendly cultivation processes are still largely lacking for South America, we set out to study multiple aspects of cacao productivity in agroforests in Peru, part of cacao´s region of origin. The natural pollination process of cacao, which is critically understudied, was investigated by trapping flower visitors and studying pollen deposition from macrophotographs (Chapter II). Next, we excluded birds, bats, ants and flying insects and squirrels from cacao trees in a full-factorial field experiment and quantified these animals´ contribution to cacao fruit set, fruit loss and yield (Chapter III). Lastly, we aimed to assess whether fruit quantity and quality of native cacao increases through manually supplementing pollen (Chapter II and IV), and whether microclimatic conditions and the genetic background of the studied varieties limit fruit set (Chapter IV).
Chapter II – Cacao flower visitation: Low pollen deposition, low fruit set and dominance of herbivores
Given the importance of cacao pollination for the global chocolate production, it is remarkable that fruit set limitations are still understudied. Knowledge on flower visitation and the effect of landscape context and local management are lacking, especially in the crop’s region of origin. Moreover, the role of pollen deposition in limiting fruit set as well as the benefits of hand pollination in native cacao are unknown. In this chapter, we aimed to close the current knowledge gaps on cacao pollination biology and sampled flower visitors in 20 Peruvian agroforests with native cacao, along gradients of shade cover and forest distance. We also assessed pollen quantities and compared fruit set between manually and naturally pollinated flowers. We found that herbivores were the most abundant flower visitors in both northern and southern Peru, but we could not conclude which insects are effective cacao pollinators. Fruit set was remarkably low (2%) but improved to 7% due to pollen supplementation. Other factors such as a lack of effective pollinators, genetic pollen incompatibility or resource unavailability could be causing fruit set limitations. We conclude that revealing those causes and the effective pollinators of cacao will be key to improve pollination services in cacao.
Chapter III – Quantifying services and disservices provided by insects and vertebrates in cacao agroforestry landscapes
Pollination and pest control, two ecosystem services that support cacao yield, are provided by insects and vertebrates. However, animals also generate disservices, and their combined contribution is still unclear. Therefore, we excluded flying insects, ants, birds and bats, and as a side effect also squirrels from cacao trees and we assessed fruit set, fruit loss and final yield. Local management and landscape context can influence animal occurrence in cacao agroforestry landscapes; therefore, shade cover and forest distance were included in the analyses. Flying insects benefitted cacao fruit set, with largest gains in agroforests with intermediate shade cover. Birds and bats were also associated with improved fruit set rates and with a 114% increase in yield, potentially due to pest control services provided by these animals. The role of ants was complicated: these insects had a positive effect on yield, but only close to forest. We also evidenced disservices generated by ants and squirrels, causing 7% and 10% of harvest loss, respectively. Even though the benefits provided by animals outweighed the disservices, trade-offs between services and disservices still should be integrated in cacao agroforestry management.
Chapter IV – Cross-pollination improves fruit set and yield quality of Peruvian native cacao
Because yields of the cacao tree are restricted by pollination, hand pollination has been proposed to improve yield quantity and potentially, also quality. However, low self- and cross-compatibility of native cacao, and abiotic conditions could cancel out hand pollination benefits. Yet, the impact of genetic constraints and abiotic conditions on fruit set have not been assessed in native cacao so far. To increase our understanding of the factors that limit fruit set in native cacao, we compared manual self- and cross-pollination with five native genotypes selected for their sensorial quality and simultaneously tested for effects of soil water content, temperature, and relative air humidity. We also compared quality traits between manually and naturally pollinated fruits. Success rates of self-pollination were low (0.5%), but increased three- to eightfold due to cross-pollination, depending on the genotype of the pollen donor. Fruit set was also affected by the interaction between relative air humidity and temperature, and we found heavier and more premium seeds in fruits resulting from manual than natural pollination. Together, these findings show that reproductive traits of native cacao are constrained by genetic compatibility and abiotic conditions. We argue that because of the high costs of hand pollination, natural cross-pollination with native pollen donors should be promoted so that quality improvements can result in optimal economic gains for smallholder farmers.
Chapter V – Discussion
In this thesis, we demonstrated that the presence of flying insects, ants and vertebrates, local and landscape management practices, and pollen supplementation interactively affected cacao yield, at different stages of the development from flower to fruit. First, we showed that fruit set improved by intermediate shade levels and flower visitation by flying insects. Because the effective cacao pollinators remain unknown, we recommend shade cover management to safeguard fruit set rates. The importance of integrating trade-offs in wildlife-friendly management was highlighted by lower harvest losses due to ants and squirrels than the yield benefits provided by birds and bats. The maintenance of forest in the landscape might further promote occurrence of beneficial animals, because in proximity to forest, ants were positively associated with cacao yields. Therefore, an integrated wildlife-friendly farming approach in which shade cover is managed and forest is maintained or restored to optimize ecosystem service provision, while minimizing fruit loss, might benefit yields of native cacao. Finally, manual cross-pollination with native genotypes could be recommended, due to improved yield quantity and quality. However, large costs associated with hand pollination might cancel out these benefits. Instead, we argue that in an integrated management, natural cross-pollination should be promoted by employing compatible genotypes in order to improve yield quantity and quality of native cacao.
Optogenetics is a powerful technique that utilizes light to precisely regulate physiological activities of neurons and other cell types. Specifically, light-sensitive ion channels, pumps or enzymes are expressed in cells to enable their regulation by illumination, thus allowing for precise control of biochemical signaling pathways. The first part of my study involved the construction, optimization, and characterization of two optogenetic tools, KCR1 and NCR1. Elena Govorunova et al. discovered a lightgated potassium channel, KCR1, in the protozoan Hyphochytrium catenoides. Traditional potassium ion channels are classified as either ligand-gated or voltage-gated and possess conserved pore-forming domains and K+ -selective filters. However, KCR1 is unique in that it does not contain the signature sequence of previously known K+ channels and is a channelrhodopsin. We synthesized the KCR1 plasmid according to the published sequence and expressed it in Xenopus oocytes. Due to the original KCR1 current being too small, I optimized it into KCR1 2.0 to improve its performance by fusing LR (signal peptide LucyRho, enhances expression) at the N-terminal and T (trafficking signal peptide) and E (ER export signal peptide) at the C-terminal. Additionally, I investigated the light sensitivity, action spectrum, and kinetics of KCR1 2.0 in Xenopus oocytes. The potassium permeability of KCR1 2.0, PK/Pna 24, makes KCR1 2.0 a powerful hyperpolarizing tool that can be used to inhibit neuronal firing in animals. Inspired by KCR1, we used the KCR1 sequence as a template for gene sequence alignment with the sequences in H. catenoides. We found that NCR1 and KCR1 have similar gene sequences. NCR1 was characterized by us as a light-gated sodium channel. This NCR1 was also characterized and published by Govorunova et al. very recently, with the name HcCCR. Due to the original NCR1 current being too small, I optimized it into NCR1 2.0 to improve its performance by fusing LR at the N-terminal and T and E at the C-terminal, which significantly improved the expression level and greatly increased the current amplitude of NCR1. Full-length NCR1 2.0 contains 432 amino acids. To test whether the number of amino acids changes the characteristics of NCR1 2.0, we designed NCR1 2.0 (330), NCR1 2.0 (283), and NCR1 2.0 (273) by retaining the number of amino acids at 330, 280, and 273 in NCR1 2.0, respectively. As the number of amino acids decreased, the current in NCR1 2.0 increased. I also investigated the light sensitivity, action spectrum, and kinetics of NCR1 2.0 (273) in the Xenopus Abstract 2 oocytes. We performed four point mutations at amino acid positions 133 and 116 of NCR1 2.0 and analyzed the reversal potentials of the mutants. The mutations were as follows: NCR1 2.0 (273 D116H), NCR1 2.0 (273 D116E), NCR1 2.0 (283 V133H), and NCR1 2.0 (283 D116Q). The second part of this study focuses on light-induced water transport using optogenetic tools. We explored the use of optogenetic tools to regulate water flow by changing the osmolarity in oocytes. Water flux through AQP1 is driven by the osmotic gradient that results from concentration differences of small molecules or ions. Therefore, we seek to regulate ion concentrations, using optogenetic tools to regulate the flux of water noninvasively. To achieve this, I applied the light-gated cation channels XXM 2.0 and NCR1 2.0 to regulate the concentration of Na+ , while K + channel KCR1 2.0 was used to regulate K + concentration. As Na+ flows into the Xenopus oocytes, the membrane potential of the oocytes becomes positive, and Clcan influx through the light-gated anion channel GtACR1. By combining these optogenetic tools to regulate NaCl or KCl concentrations, I can change the osmolarity inside the oocytes, thus regulating the flux of water. I co-expressed AQP1 with optogenetic tools in the oocytes to accelerate water flux. Overall, I designed three combinations (1: AQP1, XXM 2.0 and GtACR1. 2: AQP1, NCR1 2.0 and GtACR1. 3: AQP1, KCR1 2.0 and GtACR1) to regulate the flow of water in oocytes. The shrinking or swelling of the oocytes can only be achieved when AQP1, light-gated cation channels (XXM 2.0/NCR1 2.0/KCR1 2.0), and light-gated anion channels (GtACR1) are expressed together. The illumination after expression of either or both alone does not result in changes in oocyte morphology. In sum, I demonstrated a novel strategy to manipulate water movement into and out of Xenopus oocytes, non-invasively through illumination. These findings provide a new avenue to interfere with water homeostasis as a means to study related biological phenomena across cell types and organisms.
Oral antineoplastic drugs are an important component in the treatment of solid tumour diseases, haematological and immunological malignancies. Oral drug administration is associated with positive features (e.g., non-invasive drug administration, outpatient care with a high level of independence for the patient and reduced costs for the health care system). The systemic exposure after oral intake however is prone to high IIV as it strongly depends on gastrointestinal absorption processes, which are per se characterized by high inter-and intraindividual variability. Disease and patient-specific characteristics (e.g., disease state, concomitant diseases, concomitant medication, patient demographics) may additionally contribute to variability in plasma concentrations between individual patients. In addition, many oral antineoplastic drugs show complex PK, which has not yet been fully investigated and elucidated for all substances. All this may increase the risk of suboptimal plasma exposure (either subtherapeutic or toxic), which may ultimately jeopardise the success of therapy, either through a loss of efficacy or through increased, intolerable adverse drug reactions. TDM can be used to detect suboptimal plasma levels and prevent permanent under- or overexposure. It is essential in the treatment of ACC with mitotane, a substance with unfavourable PK and high IIV. In the current work a HPLC-UV method for the TDM of mitotane using VAMS was developed. A low sample volume (20 µl) of capillary blood was used in the developed method, which facilitates dense sampling e.g., at treatment initiation. However, no reference ranges for measurements from capillary blood are established so far and a simple conversion from capillary concentrations to plasma concentrations was not possible. To date the therapeutic range is established only for plasma concentrations and observed capillary concentrations could not be reliable interpretated.The multi-kinase inhibitor cabozantinib is also used for the treatment of ACC. However, not all PK properties, like the characteristic second peak in the cabozantinib concentration-time profile have been fully understood so far. To gain a mechanistic understanding of the compound, a PBPK model was developed and various theories for modelling the second peak were explored, revealing that EHC of the compound is most plausible. Cabozantinib is mainly metabolized via CYP3A4 and susceptible to DDI with e.g., CYP3A4 inducers. The DDI between cabozantinib and rifampin was investigated with the developed PBPK model and revealed a reduced cabozantinib exposure (AUC) by 77%. Hence, the combination of cabozantinib with strong CYP inducers should be avoided. If this is not possible, co administration should be monitored using TDM. The model was also used to simulate cabozantinib plasma concentrations at different stages of liver injury. This showed a 64% and 50% increase in total exposure for mild and moderate liver injury, respectively.Ruxolitinib is used, among others, for patients with acute and chronic GvHD. These patients often also receive posaconazole for invasive fungal prophylaxis leading to CYP3A4 mediated DDI between both substances. Different dosing recommendations from the FDA and EMA on the use of ruxolitinib in combination with posaconazole complicate clinical use. To simulate the effect of this relevant DDI, two separate PBPK models for ruxolitinib and posaconazole were developed and combined. Predicted ruxolitinib exposure was compared to observed plasma concentrations obtained in GvHD patients. The model simulations showed that the observed ruxolitinib concentrations in these patients were generally higher than the simulated concentrations in healthy individuals, with standard dosing present in both scenarios. According to the developed model, EMA recommended RUX dose reduction seems to be plausible as due to the complexity of the disease and intake of extensive co-medication, RUX plasma concentration can be higher than expected.
The fact that photovoltaics is a key technology for climate-neutral energy production can be taken as a given. The question to what extent perovskite will be used for photovoltaic technologies has not yet been fully answered. From a photophysical point of view, however, it has the potential to make a useful contribution to the energy sector. However, it remains to be seen whether perovskite-based modules will be able to compete with established technologies in terms of durability and cost efficiency. The additional aspect of ionic migration poses an additional challenge. In the present work, primarily the interaction between ionic redistribution, capacitive properties and recombination dynamics was investigated. This was done using impedance spectroscopy, OCVD and IV characteristics as well as extensive numerical drift-diffusion simulations. The combination of experimental and numerical methods proved to be very fruitful. A suitable model for the description of solar cells with respect to mobile ions was introduced in chapter 4.4. The formal mathematical description of the model was transferred by a non-dimensionalization and suitable numerically solvable form. The implementation took place in the Julia language. By intelligent use of structural properties of the sparse systems of equations, automatic differentiation and the use of efficient integration methods, the simulation tool is not only remarkably fast in finding the solution, but also scales quasi-linearly with the grid resolution. The software package was released under an open source license. In conventional semiconductor diodes, capacitance measurements are often used to determine the space charge density. In the first experimental chapter 5, it is shown that although this is also possible for the ionic migration present in perovskites, it cannot be directly understood as doping related, since the space charge distribution strongly depends on the preconditions and can be manipulated by an externally applied voltage. The exact form of this behavior depends on the perovskite composition. This shows, among other things, that experimental results can only be interpreted within the framework of conventional semiconductors to a very limited extent. Nevertheless, the built-in 99 potential of the solar cell can be determined if the experiments are carried out properly. A statement concerning the type and charge of the mobile ions is not possible without further effort, while their number can be determined. The simulations were applied to experimental data in chapter 6. Thus, it could be shown that mobile ions make a significant contribution to the OCVD of perovskite solar cells. j-V characteristics and OCVD transients measured as a function of temperature and illumination intensities could be quantitatively modeled simultaneously using a single global set of parameters. By the simulations it was further possible to derive a simple experimental procedure to determine the concentration and the diffusivity of the mobile ions. The possibility of describing different experiments in a uniform temperaturedependent manner strongly supports the model of mobile ions in perovskites. In summary, this work has made an important contribution to the elucidation of ionic contributions to the (photo)electrical properties of perovskite solar cells. Established experimental techniques for conventional semiconductors have been reinterpreted with respect to ionic mass transport and new methods have been proposed to draw conclusions on the properties for ionic transport. As a result, the published simulation tools can be used for a number of further 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.
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.
Peroxisomes are ubiquitous organelles with essential functions in numerous cellular processes such as lipid metabolism, detoxification of reactive oxygen species and signaling. Knowledge of the peroxisomal proteome including multi-localized proteins and, most importantly, changes of its composition induced by altering cellular conditions or impaired peroxisome biogenesis and function is of paramount importance for a holistic view on peroxisomes and their diverse functions in a cellular context. In this chapter, we provide a spatial proteomics protocol specifically tailored to the analysis of the peroxisomal proteome of baker's yeast that enables the definition of the peroxisomal proteome under distinct conditions and to monitor dynamic changes of the proteome including the relocation of individual proteins to a different cellular compartment. The protocol comprises subcellular fractionation by differential centrifugation followed by Nycodenz density gradient centrifugation of a crude peroxisomal fraction, quantitative mass spectrometric measurements of subcellular and density gradient fractions and advanced computational data analysis, resulting in the establishment of organellar maps on a global scale.
Site-specific introduction of biorthogonal handles into RNAs is in high demand for decorating RNAs with fluorophores, affinity labels or other modifications. Aldehydes represent attractive functional groups for post-synthetic bioconjugation reactions. Here, we report a ribozyme-based method for the synthesis of aldehyde-functionalized RNA by directly converting a purine nucleobase. Using the methyltransferase ribozyme MTR1 as an alkyltransferase, the reaction is initiated by site-specific N1 benzylation of purine, followed by nucleophilic ring opening and spontaneous hydrolysis under mild conditions to yield a 5-amino-4-formylimidazole residue in good yields. The modified nucleotide is accessible to aldehyde-reactive probes, as demonstrated by the conjugation of biotin or fluorescent dyes to short synthetic RNAs and tRNA transcripts. Upon fluorogenic condensation with a 2,3,3-trimethylindole, a novel hemicyanine chromophore was generated directly on the RNA. This work expands the MTR1 ribozyme’s area of application from a methyltransferase to a tool for site-specific late-stage functionalization of RNA.
Magnetic systems underlie the physics of quantum mechanics when reaching the limit of few or even single atoms. This behavior limits the minimum size of magnetic bits in data storage devices as spontaneous switching of the magnetization leads to the loss of information. On the other hand, exactly these quantum mechanic properties allow to use such systems in quantum computers. Proposals to realize qubits involve the spin states of single atoms as well as topologically protected Majorana zero modes, that emerge in coupled systems of magnetic atoms in proximity to a superconductor. In order to implement and control the proposed applications, a detailed understanding of atomic spins and their interaction with the environment is required.
In this thesis, two different systems of magnetic adatoms coupled to metallic and superconducting surfaces are studied by means of scanning tunneling microscopy (STM) and spectroscopy: Co atoms on the clean Cu(111) were among the first systems exhibiting signatures of the Kondo effect in an individual atom. Yet, a recent theoretical work proposed an alternative interpretation of these early experimental results, involving a newly described many-body state. Spin-averaged and -polarized experiments in high magnetic fields presented in this thesis confirm effects beyond the Kondo effect that determine the physics in these Co atoms and suggest a potentially even richer phenomenology than proposed by theory.
The second studied system are single and coupled Fe atoms on the superconducting Nb(110) surface. Magnetic impurities on superconducting surfaces locally induce Yu-Shiba-Rusinov (YSR) states inside the superconducting gap due to their pair breaking potential. Coupled systems of such impurities exhibit YSR bands and, if the bands cross the Fermi level such that the band structure is inverted, host Majorana zero modes. Using the example of Fe atoms on Nb(110), the YSR states’ dependence on the adatom–substrate interaction as well as the interatomic YSR state coupling is investigated. In the presence of oxygen on the Nb surface, the adatom–substrate interaction is shown to be heavily modified and the YSR states are found to undergo a quantum phase transition, which can be directly linked to a modified Kondo screening.
STM tips functionalized with CO molecules allow to resolve self-assembled one-dimensional chains of Fe atoms on the clean Nb(110) surface to study the YSR states’ coupling. Mapping out the states’ wave functions reveals their symmetry, which is shown to alter as a function of the states’ energy and number of atoms in the chain. These experimental results are reproduced in a simple tight-binding model, demonstrating a straightforward possibility to describe also more complex YSR systems toward engineered, potentially topologically non-trivial states.
Glioblastoma (GB) is the most aggressive malignant adult brain tumour with a median survival rate of only 15 months. GB tumours are characterized by necrotic and hypoxic core, which leads to nutrient deficient areas contributing to invasive, diffuseinfiltrative and angiogenic nature of these tumours. Cells exposed to nutrient deficient conditions and are known to reprogram their metabolism to produce or procure macro molecules from their environment. This makes cancer cells uniquely dependent on transcriptional regulators and a window of opportunity to target them. Sterol regulatory element binding protein 1 (SREBP1) is a transcriptional regulator of de-novo fatty acid synthesis in cells. The aim of this thesis was to investigate if SREBP1 was involved in restructuring the transcriptional regulation of genes involved in fatty acid biosynthesis upon low serum condition, in mediating interaction with other cell types in the tumour bulk such as endothelial cells, in regulating cancer stem like cells and finally to study its upstream regulation in GB. Global transcriptional analysis on GB cells exposed to low serum conditions revealed that SREBP1 regulated several fatty acid biosynthesis and phospholipid metabolic processes. PLA2G3 was identified as a novel target of SREBP1 in GB that was uniquely regulated in low serum condition. Analysis of total fatty acid and lipid species revealed that loss of SREBP1 in low serum condition changes the proportion of saturated, MUFAs and PUFAs. These changes were not specific to loss of PLA2G3 but as a result of downregulation of many genes regulated by SREBP1 in the fatty acid biosynthetic pathway. Next, treatment of HUVEC’s (endothelial cells) with condition medium from SREBP1-silenced U87 cells inhibited sprouting and tube formation capacity compared to the control condition, emphasizing the role of SREBP1 in angiogenesis and release of signalling mediators. Further, SREBP1 was shown to be important for proliferation of patient derived stem like cells and becomes indispensable for forming neurospheres in long term cultures, indicating its role in maintaining stemness. Also, inhibition of SREBP function by blocking the esterification of cholesterol using inhibitors targeting SOAT1 showed impairment in the viability of GB cells exposed to serum-depleted condition. Overall, SREBP1 plays an important role in maintaining tumour growth in nutrient deficient conditions and help in interaction with tumour microenvironment contributing to the aggressiveness of this tumour and poses itself as an attractive and unique target for GB treatment
For all animals the cold represents a dreadful danger. In the event of severe heat loss, animals
fall into a chill coma. If this state persists, it is inevitably followed by death. In poikilotherms
(e.g. insects), the optimal temperature range is narrow compared to homeotherms
(e.g. mammals), resulting in a critical core temperature being reached more quickly. As a
consequence, poikilotherms either had to develop survival strategies, migrate or die. Unlike
the majority of insects, the Western honeybee (Apis mellifera) is able to organize itself into
a superorganism. In this process, worker bees warm and cool the colony by coordinated
use of their flight muscles. This enables precise control of the core temperature in the hive,
analogous to the core body temperature in homeothermic animals. However, to survive the
harsh temperatures in the northern hemisphere, the thermogenic mechanism of honeybees
must be in constant readiness. This mechanism is called shivering thermogenesis, in which
honeybees generate heat using their flight muscles.
My thesis presents the molecular and neurochemical background underlying shivering thermogenesis
in worker honeybees. In this context, I investigated biogenic amine signaling.
I found that the depletion of vesicular monoamines impairs thermogenesis, resulting in
a decrease in thoracic temperature. Subsequent investigations involving various biogenic
amines showed that octopamine can reverse this effect. This clearly indicates the involvement
of the octopaminergic system. Proceeding from these results, the next step was to elucidate
the honeybee thoracic octopaminergic system. This required a multidisciplinary approach to
ultimately provide profound insights into the function and action of octopamine at the flight
muscles. This led to the identification of octopaminergic flight muscle controlling neurons,
which presumably transport octopamine to the flight muscle release sites. These neurons
most likely innervate octopamine β receptors and their activation may stimulate intracellular
glycolytic pathways, which ensure sufficient energy supply to the muscles.
Next, I examined the response of the thoracic octopaminergic system to cold stress conditions.
I found that the thoracic octopaminergic system tends towards an equilibrium,
even though the initial stress response leads to fluctuations of octopamine signaling. My
results indicate the importance of the neuro-muscular octopaminergic system and thus the need for its robustness. Moreover, cold sensitivity was observed for the expression of one
transcript of the octopamine receptor gene AmOARβ2. Furthermore, I found that honeybees
without colony context show a physiological disruption within the octopaminergic system.
This disruption has profound effects on the honeybees protection against the cold.
I could show how important the neuro-muscular octopaminergic system is for thermogenesis
in honeybees. In this context, the previously unknown neurochemical modulation of the
honeybee thorax has now been revealed. I also provide a broad basis to conduct further
experiments regarding honeybee thermogenesis and muscle physiology.
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.
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.