Refine
Has Fulltext
- yes (1158)
Year of publication
- 2021 (1158) (remove)
Document Type
- Journal article (906)
- Doctoral Thesis (223)
- Conference Proceeding (8)
- Working Paper (6)
- Other (5)
- Book (3)
- Preprint (3)
- Master Thesis (2)
- Bachelor Thesis (1)
- Report (1)
Language
- English (1158) (remove)
Keywords
- COVID-19 (20)
- inflammation (18)
- virtual reality (14)
- SARS-CoV-2 (11)
- boron (11)
- inorganic chemistry (11)
- cancer (8)
- immunohistochemistry (8)
- Parkinson's disease (7)
- RNA (7)
Institute
- Theodor-Boveri-Institut für Biowissenschaften (172)
- Graduate School of Life Sciences (97)
- Institut für Anorganische Chemie (60)
- Institut für Psychologie (54)
- Medizinische Klinik und Poliklinik I (54)
- Institut für Informatik (48)
- Institut für Organische Chemie (47)
- Medizinische Klinik und Poliklinik II (47)
- Institut für Geographie und Geologie (43)
- Klinik und Poliklinik für Allgemein-, Viszeral-, Gefäß- und Kinderchirurgie (Chirurgische Klinik I) (39)
Sonstige beteiligte Institutionen
- Cologne Game Lab (3)
- Open University of the Netherlands (2)
- Ökologische Station Fabrikschleichach (2)
- Airbus Defence and Space GmbH (1)
- Apotheke, Universitätsklinikum Würzburg (1)
- Biomedical Center Munich, Department of Physiological Chemistry, Ludwig-Maximilians-Universität München (1)
- Birmingham City University (1)
- Bundeswehr Institute of Radiobiology affiliated to the University of Ulm, Munich, Germany (1)
- Clinical Trial Center (CTC) / Zentrale für Klinische Studien Würzburg (ZKSW) (1)
- DFG Forschungsgruppe 2757 / Lokale Selbstregelungen im Kontext schwacher Staatlichkeit in Antike und Moderne (LoSAM) (1)
In this work the creation of silicon vacancy spin defects in silicon carbide with predictable properties is demonstrated. Neutron and electron irradiation was used to create silicon vacancy ensembles and proton beam writing to create isolated vacancies at a desired position. The coherence properties of the created silicon vacancies as a function of the emitter density were investigated and a power-law function established. Sample annealing was implemented to increase the coherence properties of existing silicon vacancies. Further, spectral hole burning was used to implement absolute dc-magnetometry.
Platelets are small anucleated cell fragments that originate from megakaryocytes (MKs), which are large cells located in the bone marrow (BM). MKs extend long cytoplasmic protrusions, a process which is called proplatelet formation, into the lumen of the sinusoidal vessels where platelets are sized by the bloodstream. During the process of platelet biogenesis, segments of the MK penetrate the endothelium and, through cytoskeletal remodeling inside the MK, proplatelet fragments are released. Rho GTPases, such as RhoA and RhoB, are critically involved in cytoskeletal rearrangements of both the actin and the tubulin cytoskeleton.
The first part of this thesis concentrated on the protein RhoB and its involvement in cytoskeletal organization in MKs and platelets. Single knockout (KO) mice lacking RhoB had a minor microthrombocytopenia, which means a smaller platelet size and reduced platelet number, accompanied by defects in the microtubule cytoskeleton in both MKs and platelets. In particular, tubulin organization and stability, which is regulated by posttranslational modifications of α-tubulin, were disturbed in RhoB-/- platelets. In contrast, RhoB-/- MKs produced abnormally shaped proplatelets but had unaltered posttranslational modifications of α-tubulin.
The second part focused on the influence of RhoA and RhoB on MK localization and platelet biogenesis in murine BM. Many intact RhoA-/- MKs are able to transmigrate through the endothelial layer and stay attached to the vessel wall, whereas only 1% of wildtype (wt) MKs are detectable in the intrasinusoidal space. Concomitant deficiency of RhoA and RhoB reverts this transmigration and results in macrothrombocytopenia, MK clusters around the vessel in the BM and defective MK development. The underlying mechanism that governs MKs to distinct localizations in the BM is poorly understood, thus this thesis suggests that this process may be dependent on RhoB protein levels, as RhoA deficiency is coincided with increased RhoB levels in MKs and platelets.
The third part of this thesis targeted the protein PDK1, a downstream effector of Rho GTPases, in regard to MK maturation and polarization throughout thrombopoiesis. MK- and platelet-specific KO in mice led to a significant macrothrombocytopenia, impaired actin cytoskeletal reorganization during MK spreading and proplatelet formation, with defective MK maturation. This was associated with decreased PAK activity and, subsequently, phosphorylation of its substrates LIMK and Cofilin. Together, the observations of this thesis highlight the importance of Rho GTPases and their downstream effectors on the regulation of the MK and platelet cytoskeleton.
Background
Presence of clonal hematopoiesis of indeterminate potential (CHIP) is associated with a higher risk of atherosclerotic cardiovascular disease, cancer, and mortality. The relationship between a healthy lifestyle and CHIP is unknown.
Methods and Results
This analysis included 8709 postmenopausal women (mean age, 66.5 years) enrolled in the WHI (Women's Health Initiative), free of cancer or cardiovascular disease, with deep‐coverage whole genome sequencing data available. Information on lifestyle factors (body mass index, smoking, physical activity, and diet quality) was obtained, and a healthy lifestyle score was created on the basis of healthy criteria met (0 point [least healthy] to 4 points [most healthy]). CHIP was derived on the basis of a prespecified list of leukemogenic driver mutations. The prevalence of CHIP was 8.6%. A higher healthy lifestyle score was not associated with CHIP (multivariable‐adjusted odds ratio [OR] [95% CI], 0.99 [0.80–1.23] and 1.13 [0.93–1.37]) for the upper (3 or 4 points) and middle category (2 points), respectively, versus referent (0 or 1 point). Across score components, a normal and overweight body mass index compared with obese was significantly associated with a lower odds for CHIP (OR, 0.71 [95% CI, 0.57–0.88] and 0.83 [95% CI, 0.68–1.01], respectively; P‐trend 0.0015). Having never smoked compared with being a current smoker tended to be associated with lower odds for CHIP.
Conclusions
A healthy lifestyle, based on a composite score, was not related to CHIP among postmenopausal women. However, across individual lifestyle factors, having a normal body mass index was strongly associated with a lower prevalence of CHIP. These findings support the idea that certain healthy lifestyle factors are associated with a lower frequency of CHIP.
The degradation of poly-adenosine tails of messenger RNAs (mRNAs) in the eukaryotic cells is a determining step in controlling the level of gene expression. The highly conserved Ccr4-Not complex was identified as the major deadenylation complex in all eukaryotic organisms. Plenty of biochemical studies have shown that this complex is also involved in many aspects of the mRNA metabolism, but we are still lacking the detailed structural information about its overall architecture and conformational states that could help to elucidate its multifunction and the way it is coordinated in the cells. Such information can also provide a basis to finding a possible way of intervention since the complex is also involved in some diseases such as cancer and cardiovascular disorders in humans. Meanwhile, the single particle Cryo-EM method has been through a “resolution revolution” recently due to the use of the newly developed direct electron detectors and has since resolved the high-resolution structures of many macromolecular protein complexes in their near-native state. Therefore, it was employed as a suitable method for studying the Ccr4-Not complex here. In this work, the Falcon 3EC direct detector mounted on the 300kV Titan Krios G3i Cryo-EM was evaluated for its practical performance at obtaining high-quality Cryo-EM data from protein samples of different molecular sizes. This served as a proof of principle for this detector’s capabilities and as a data collection guidance for studying the macromolecular complexes, such as the Ccr4-Not, when using an advanced high-performance microscope system. Next, the endogenous yeast Ccr4-Not complex was also purified via the immunoaffinity purification method and evaluated using negative staining EM to assess the conditions of the complex before proceeding to sample preparation for Cryo-EM. This has shown that the complex had an unexpected inherently dynamic property in vitro and extra optimisation procedures were needed to stabilise the complex during the purification and sample preparation. In addition, by using the label-free quantitative Mass spectrometry to examine the coimmunoprecipitated complex via different tagged subunits, it was deduced that two of the subunits (Not3/Not5) that shared some sequence similarity might compete for association with the scaffold subunit of the complex. An uncharacterised protein was also identified coimmunoprecipitating with the Caf130 subunit of the yeast complex. Cryo-EM data from the purified complex provided a low-resolution map that represents a surprisingly smaller partial complex as compared to 3D structures from previous studies, although gel electrophoresis and Mass spectrometry data have identified all of the nine subunits of the Ccr4-Not core complex in the sample. It was concluded that due to the presence of many predicted unstructured regions VI in the subunits and their dynamic composition in solution, the native complex could have been spontaneously denatured at the air/water interface during the sample preparation thus limiting the resolution of the Cryo-EM reconstruction. The purified complex was also examined for its deadenylase and ubiquitin ligase activity by in vitro assays. It was shown that the native complex has a different rate of activity and possibly also a different mode of action compared to the recombinant complexes from other species under similar reaction conditions. The Not4 E3 ligase was also shown to be active in the complex and was likely auto-ubiquitinated in the absence of a substrate. Both types of assays have also shown that the conformational flexibility does not seem to affect the enzymatic reactions when using a chemically crosslinked form of the complex for the assay, which implies that there can be other underlying mechanisms coordinating its structural and functional relationship. The findings from this work have therefore moved our understanding of the Ccr4-Not complex forward by looking at the different structural and functional behaviours of the endogenous complex, especially highlighting the obstacles in sample preparation for the native complex in high-resolution Cryo-EM. This would serve as foundation for future studies on the mechanism of this complex’s catalytic functions and also for optimising the Cryo-EM sample to generate better data that could eventually resolve the structure to a high-resolution.
The ubiquitination of proteins serves as molecular signal to control an enormous number of physiological processes and its dysregulation is connected to human diseases like cancer. The versatility of this signal stems from the diverse ways by which ubiquitin can be attached to its targets. Thus, specificity and tight regulation of the ubiquitination are pivotal requirements of ubiquitin signaling. Ubiquitin-conjugating enzymes (E2s) act at the heart of the ubiquitination cascade, transferring ubiquitin from a ubiquitin-activating enzyme (E1) to a ubiquitin ligase (E3) or substrate. When cooperating with a RING-type E3, ubiquitin-conjugating enzymes can determine linkage specificity in ubiquitin chain formation. Our understanding of the regulation of E2 activities is still limited at a structural level.
The work described here identifies two regulation mechanisms in UBE2S, a cognate E2 of the human RING-type E3 anaphase-promoting complex/cyclosome (APC/C). UBE2S elongates ubiquitin chains on APC/C substrates in a Lys11 linkage-specific manner, thereby targeting these substrates for degradation and driving mitotic progression. In addition, UBE2S was found to have a role in DNA repair by enhancing non-homologous end-joining (NHEJ) and causing transcriptional arrest at DNA damage sites in homologous recombination (HR). Furthermore, UBE2S overexpression is a characteristic feature of many cancer types and is connected to poor prognosis and diminished response to therapy.
The first regulatory mechanism uncovered in this thesis involves the intramolecular auto-ubiquitination of a particular lysine residue (Lys+5) close to the active site cysteine, presumably through conformational flexibility of the active site region. The Lys+5-linked ubiquitin molecule adopts a donor-like, ‘closed’ orientation towards UBE2S, thereby conferring auto-inhibition. Notably, Lys+5 is a major physiological ubiquitination site in ~25% of the human E2 enzymes, thus providing regulatory opportunities beyond UBE2S. Besides the active, monomeric state and the auto-inhibited state caused by auto-ubiquitination, I discovered that UBE2S can adopt a dimeric state. The latter also provides an auto-inhibited state, in which ubiquitin transfer is blocked via the obstruction of donor binding. UBE2S dimerization is promoted by its unique C-terminal extension, suppresses auto-ubiquitination and thereby the proteasomal degradation of UBE2S.
Taken together, the data provided in this thesis illustrate the intricate ways by which UBE2S activity is fine-tuned and the notion that structurally diverse mechanisms have evolved to restrict the first step in the catalytic cycle of E2 enzymes.
Alveolar echinococcosis, which is caused by the metacestode stage of the small fox tapeworm Echinococcus multilocularis, is a severe zoonotic disease with limited treatment options. For a better understanding of cestode biology the genome of E. multilocularis, together with other cestode genomes, was sequenced previously. While a few studies were undertaken to explore the E. multilocularis transcriptome, a comprehensive exploration of global transcription profiles throughout life cycle stages is lacking. This work represents the so far most comprehensive analysis of the E. multilocularis transcriptome. Using RNA-Seq information from different life cycle stages and experimental conditions in three biological replicates, transcriptional differences were qualitatively and quantitatively explored. The analyzed datasets are based on samples of metacestodes cultivated under aerobic and anaerobic conditions as well as metacestodes obtained directly from infected jirds. Other samples are stem cell cultures at three different time points of development as well as non-activated and activated protoscoleces, the larval stage that can develop into adult worms. In addition, two datasets of metacestodes under experimental conditions suitable for the detection of genes that are expressed in stem cells, the so-called germinative cells, and one dataset from a siRNA experiment were analyzed. Analysis of these datasets led to expression profiles for all annotated genes, including genes that are expressed in the tegument of metacestodes and play a role in host-parasite interactions and modulation of the host's immune response. Gene expression profiles provide also further information about genes that might be responsible for the infiltrative growth of the parasite in the liver.
Furthermore, germinative cell-specific genes were identified. Germinative cells are the only proliferating cells in E. multilocularis and therefore of utmost importance for the development and growth of the parasite. Using a combination of germinative cell depletion and enrichment methods, genes with specific expression in germinative cells were identified. As expected, many of these genes are involved in translation, cell cycle regulation or DNA replication and repair. Also identified were transcription factors, many of which are involved in cell fate commitment. As an example, the gene encoding the telomerase reverse transcriptase (TERT) was studied further. Expression of E. multilocularis tert in germinative cells was confirmed experimentally. Cell culture experiments indicate that TERT is required for proliferation and development of the parasite, which makes TERT a potentially interesting drug target for chemotherapy of alveolar echinococcosis.
Germinative cell specific genes in E. multilocularis also include genes of densoviral origin. More than 20 individual densovirus loci with information for non-structural and structural densovirus proteins were identified in the E. multilocularis genome. Densoviral elements were also detected in many other cestode genomes. Genomic integration of these elements suggests that densovirus-based vectors might be suitable tools for genetic manipulation of tapeworms. Interestingly, only three of more than 20 densovirus loci in the E. multilocularis genome are expressed. Since the canonical piRNA pathway is lacking in cestodes, this raises the question about potential silencing mechanisms. Exploration of RNA-Seq information indicated natural antisense transcripts as a potential gene regulation mechanism in E. multilocularis. Preliminary experiments further suggest DNA-methylation, which was previously shown to occur in platyhelminthes, as an interesting avenue to explore in future.
The transcriptome datasets also contain information about genes that are expressed in differentiated cells, for example the serotonin transporter gene that is expressed in nerve cells. Cell culture experiments indicate that serotonin and serotonin transport play an important role in E. multilocularis proliferation, development and survival.
Overall, this work provides a comprehensive transcription data atlas throughout the E. multilocularis life cycle. Identification of germinative cell-specific genes and genes important for host-parasite interactions will greatly facilitate future research. A global overview of gene expression profiles will also aide in the detection of suitable drug targets and the development of new chemotherapeutics against alveolar echinococcosis.
Chlamydia trachomatis, an obligate intracellular human pathogen, is the world’s leading cause of infection related blindness and the most common, bacterial sexually transmitted disease. In order to establish an optimal replicative niche, the pathogen extensively interferes with the physiology of the host cell. Chlamydia switches in its complex developmental cycle between the infectious non-replicative elementary bodies (EBs) and the non-infectious replicative reticulate bodies (RBs). The transformation to RBs, shortly after entering a host cell, is a crucial process in infection to start chlamydial replication. Currently it is unknown how the transition from EBs to RBs is initiated. In this thesis, we could show that, in an axenic media approach, L glutamine uptake by the pathogen is crucial to initiate the EB to RB transition. L-glutamine is converted to amino acids which are used by the bacteria to synthesize peptidoglycan. Peptidoglycan inturn is believed to function in separating dividing Chlamydia. The glutamine metabolism is reprogrammed in infected cells in a c-Myc-dependent manner, in order to accomplish the increased requirement for L-glutamine. Upon a chlamydial infection, the proto-oncogene c-Myc gets upregulated to promote host cell glutaminolysis via glutaminase GLS1 and the L-glutamine transporter SLC1A5/ASCT2. Interference with this metabolic reprogramming leads to limited growth of C. trachomatis. Besides the active infection, Chlamydia can persist over a long period of time within the host cell whereby chronic and recurrent infections establish. C. trachomatis acquire a persistent state during an immune attack in response to elevated interferon-γ (IFN-γ) levels. It has been shown that IFN-γ activates the catabolic depletion of L-tryptophan via indoleamine 2,3-dioxygenase (IDO), resulting in the formation of non-infectious atypical chlamydial forms. In this thesis, we could show that IFN-γ depletes the key metabolic regulator c-Myc, which has been demonstrated to be a prerequisite for chlamydial development and growth, in a STAT1-dependent manner. Moreover, metabolic analyses revealed that the pathogen de routs the host cell TCA cycle to enrich pyrimidine biosynthesis. Supplementing pyrimidines or a-ketoglutarate helps the bacteria to partially overcome the persistent state. Together, the results indicate a central role of c-Myc induced host glutamine metabolism reprogramming and L-glutamine for the development of C. trachomatis, which may provide a basis for anti-infectious strategies. Furthermore, they challenge the longstanding hypothesis of L-tryptophan shortage as the sole reason for IFN-γ induced persistence and suggest a pivotal role of c-Myc in the control of the C. trachomatis dormancy.
Articular cartilage is an exceptional connective tissue which by a network of fibrillar collagen and glycosaminoglycan (GAG) molecules allows both low- friction articulation and distribution of loads to the subchondral bone (Armiento et al., 2018, Ulrich-Vinther et al., 2003). Because of its very limited ability to self-repair, chondral defects following traumatic injury increase the risk for secondary osteoarthritis (OA) (Muthuri et al., 2011). Still, current OA treatments such as common nonsteroidal anti-inflammatory drugs (NSAIDs) and joint replacement primarily address end-stage symptoms (Tonge et al., 2014). As low-grade inflammation plays a pivotal role in the pathogenesis of OA (Robinson et al., 2016), there is a strong demand for novel therapeutic concepts, such as integrating application of anti-inflammatory agents into cartilage cell- based therapies in order to effectively treat OA affected joints in early disease stages. The polyphenolic phytoalexin resveratrol (RSV), found in the skin of red grapes, berries, and peanuts, has been shown to have effective anti-inflammatory properties (Shen et al., 2012). However, its long-term effects on 3D chondrocyte constructs cultured in an inflammatory environment with regard to tissue quality have remained unexplored so far. Therefore, in this study, pellets made from expanded porcine articular chondrocytes were cultured for 14 days with either the pro-inflammatory cytokine interleukin-1β (IL-1β) (1 - 10 ng/ml) or RSV (50 μM) alone, or a co-treatment with both agents. Constructs treated with chondrocyte medium only served as control. Treatment with IL-1β at 10 ng/ml resulted in a significantly smaller pellet size and reduced DNA content. However, RSV counteracted the IL-1β-induced decrease and significantly enhanced diameter and DNA content. Also, in terms of GAG deposition, treatment with IL-1β at 10 ng/ml resulted in a tremendous depletion of absolute GAG content and GAG/DNA. Again, RSV co-treatment counteracted the inflammatory stimulus and led to a partial recovery of GAG content. Histological analysis utilizing safranin-O staining confirmed these findings. Marked expression of the cartilage-degrading enzyme matrix metalloproteinase 13 (MMP13) was detected in IL-1β-treated pellets, but none upon RSV co- treatment. Moreover, co-treatment of IL-1β-challenged constructs with RSV significantly increased absolute collagen content. However, under non- inflammatory conditions, RSV induced gene expression and protein accumulation of collagen type X, a marker for undesirable hypertrophy. Taken together, in the present thesis, RSV was demonstrated to elicit marked beneficial effects on the extracellular matrix composition of 3D cartilaginous constructs in long-term inflammatory culture in vitro, but also induced hypertrophy under non-inflammatory conditions. Based on these findings, further experiments examining multiple concentrations of RSV under various inflammatory conditions appear desirable concerning potential therapeutic applicability in OA.
Hematopoietic cell transplantation (HCT) is a curative therapy for the treatment of malignant and non-malignant bone marrow diseases. The major complication of this treatment is a highly inflammatory reaction called Graft-versus-Host Disease (GvHD). Here, transplanted donor T cells cause massive tissue destruction and inflammation in the main target organs liver, skin and the intestine. Currently, this inflammatory reaction can be treated successfully using strong immunosuppressive agents. One efficient group of immunosuppressants are calcineurin inhibitors such as Cyclosporin A (CsA) and Tacrolimus (FK506). These treatment strategies target all T lymphocytes subsets equally and do not separate GvH from the desirable Graft-versus-Leukemia (GvL) effect. Therefore, we aimed to find immunological targets on alloreactive T cells in order to develop novel treatment strategies, which selectively modulates alloreactive T cells without impairing the GvL effect or hematopoietic immune reconstitution.
The aim of this thesis was to develop a predictive marker panel to track alloreactive T cells in the peripheral blood (PB) of murine allo-HCT recipients. In clinically relevant model of aGvHD we demonstrated that alloreactive T cells have a distinct surface marker expression profile and can be detected in the PB before aGvHD manifestation. Based on our data, we propose a combinatory panel consisting of 4 surface markers (a4b7 integrin, CD162E, CD162P und CD62L) on circulating CD8+ T cells to identify the risk of aGvHD after allo-HCT.
Since tumor necrosis factor receptor superfamily (TNFR SF) members are involved in several immunological processes, we did extensive surface marker expression analysis of several TNFR superfamily members and other immunomodulatory molecules on conventional and regulatory T cells (Tcons vs. Tregs) on different time points during aGvHD progression. The aim of this study was to find subset-specific immunomodulatory molecules on recently activated Tcons and Tregs. We found that GITR, 4-1BB and CD27 were highly expressed on alloreactive and naïve Tregs. In contrast, PD1 expression was highly upregulated on recently activated alloreactive Tcons. The data of this study serves as basis for future approaches, which aim to develop T cell subset specific therapeutic antibody fusion proteins.
a4b7 integrin and CD162P (P-Selectin ligand) are highly upregulated on alloreactive T cells and mediate the infiltration of these cells into GvHD target organs. We developed recombinant (antibody) fusion proteins to target these two homing molecules and could show that antibody-based fusion proteins are superior to ligand-based fusion proteins regarding production efficiency and binding affinity. Therefore, we propose for future studies to focus on the described antibody-based fusion proteins for the selective targeting of T cells.
Since the widely used calcineurin inhibitors are impairing the desirable GvL effect, we investigated if selective NFATc1 inhibition might be a novel strategy to prevent or reduce alloreactivity, while hopefully maintaining the GvL effect. In particular, we addressed the role of the isoform NFATc1 and inhibited its posttranslational modification by SUMO (Small Ubiquitin-related Modifier). Indeed, inhibition of NFATc1 SUMOylation resulted in reduced inflammation and increased Treg frequencies in a murine MHC major mismatch aGvHD model.
Conclusively, we showed that alloreactive T cells can be identified by their surface profile in the PB of allo-HCT recipients before aGvHD symptoms appeared. Furthermore, we introduced a approach to selectively target alloreactive T cells by antibody fusion proteins, which might serve as a novel strategy to separate GvH from GvL. Additionally, we demonstrated that averted posttranslational modification of NFATc1 by SUMOylation serves as potential target to reduce alloreactivity of T cells.
As a non-destructive testing method, X-ray imaging has proved to be suitable for the examination of a variety of objects. The measurement principle is based on the attenuation of X-rays caused by these objects. This attenuation can be recorded as shades of intensity using X-ray detectors and thus contains information about the inner structure of the investigated object. Since X-rays are electromagnetic waves, they also experience a change of phase in addition to their attenuation while penetrating an object. In general, imaging methods based on this effect are referred to as phase contrast imaging techniques. In the laboratory, the two mainly used methods are the propagation based phase contrast or in-line phase contrast and the grating interferometry.
While in-line phase contrast - under certain conditions - shows edge enhancement at interfaces due to interference, phase contrast in the grating interferometry is only indirectly measurable by the use of several gratings. In addition to phase contrast, grating interferometry provides access to the so-called dark-field imaging contrast, which measures the scattering of X-rays caused by an object.
These two imaging techniques, together with a novel concept of laboratory X-ray sources, the liquid-metal-jet, form the main part of this work. Compared to conventional X-ray sources, the liquid-metal-jet source offers higher brightness. The term brightness is defined by the number of X-ray photons per second, emitting area (area of the X-ray spot) and solid angle at which they are emitted.
On the basis of this source, a high resolution in-line phase contrast setup was partially developed in the scope of this work. Several computed tomographies show the feasibility of in-line phase contrast and the improvement of image quality by applying phase retrieval algorithms.
Moreover, the determination of optimized sample positions for in-line phase contrast imaging is treated at which the edge enhancement is maximized. Based on primitive fiber objects, this optimization has proven to be a good approximation.
With its high brightness in combination with a high spatial coherence, the liquid-metal-jet source is also interesting for grating interferometry. The development of such a setup is also part of this work. The overall concept and the characterization of the setup is presented as well as the applicability and its limits for the investigation of various objects.
Due to the very unique concept of this grating interferometer it was possible to realize a modified interferometer system by using a single grating only. Its concept and results are also presented in this work.
Furthermore, a grating interferometer based on a microfocus X-ray tube was tested regarding its performance. Thereby, parameters like the anode material, acquisition geometry and gratings were altered in order to find the advantages and disadvantages of each configuration.
Bismuth Amides Mediate Facile and Highly Selective Pn–Pn Radical‐Coupling Reactions (Pn=N, P, As)
(2021)
The controlled release of well‐defined radical species under mild conditions for subsequent use in selective reactions is an important and challenging task in synthetic chemistry. We show here that simple bismuth amide species [Bi(NAr\(_2\))\(_3\)] readily release aminyl radicals [NAr\(_2\)]. at ambient temperature in solution. These reactions yield the corresponding hydrazines, Ar\(_2\)N−NAr\(_2\), as a result of highly selective N−N coupling. The exploitation of facile homolytic Bi−Pn bond cleavage for Pn−Pn bond formation was extended to higher homologues of the pnictogens (Pn=N–As): homoleptic bismuth amides mediate the highly selective dehydrocoupling of HPnR\(_2\) to give R\(_2\)Pn−PnR\(_2\). Analyses by NMR and EPR spectroscopy, single‐crystal X‐ray diffraction, and DFT calculations reveal low Bi−N homolytic bond‐dissociation energies, suggest radical coupling in the coordination sphere of bismuth, and reveal electronic and steric parameters as effective tools to control these reactions.
Clearly, in nature, but also in technological applications, complex systems built in an entirely ordered and regular fashion are the exception rather than the rule. In this thesis we explore how critical phenomena are influenced by quenched spatial randomness. Specifically, we consider physical systems undergoing a continuous phase transition in the presence of topological disorder, where the underlying structure, on which the system evolves, is given by a non-regular, discrete lattice. We therefore endeavour to achieve a thorough understanding of the interplay between collective dynamics and quenched randomness.
According to the intriguing concept of universality, certain laws emerge from collectively behaving many-body systems at criticality, almost regardless of the precise microscopic realization of interactions in those systems. As a consequence, vastly different phenomena show striking similarities at their respective phase transitions. In this dissertation we pursue the question of whether the universal properties of critical phenomena are preserved when the system is subjected to topological perturbations. For this purpose, we perform numerical simulations of several prototypical systems of statistical physics which show a continuous phase transition. In particular, the equilibrium spin-1/2 Ising model and its generalizations represent -- among other applications -- fairly natural approaches to model magnetism in solids, whereas the non-equilibrium contact process serves as a toy model for percolation in porous media and epidemic spreading. Finally, the Manna sandpile model is strongly related to the concept of self-organized criticality, where a complex dynamic system reaches a critical state without fine-tuning of external variables.
Our results reveal that the prevailing understanding of the influence of topological randomness on critical phenomena is insufficient. In particular, by considering very specific and newly developed lattice structures, we are able to show that -- contrary to the popular opinion -- spatial correlations in the number of interacting neighbours are not a key measure for predicting whether disorder ultimately alters the behaviour of a given critical system.
Temporal development of communities with a focus on insects, in time series of one to four decades
(2021)
Changes and development are fundamental principles in biocenoses and can affect a multitude of ecological processes. In insect communities phenological and density changes, changes in species richness and community composition, as well as interactions between those changes, are the most important macro processes. However, climate change and other factors like habitat degradation and loss alter these processes leading to shifts and general biodiversity declines. Even though knowledge about insect decline in central Europe increased during the last decades, there are significant knowledge gaps about the development of insect communities in certain habitats and taxa. For example, insect communities in small lentic as well as in forested habitats are under-sampled and reported to be less endangered than communities in other habitats. Furthermore, the changes within habitats and taxa are additionally influenced by certain traits, like host or feeding specialization. To disentangle these influences and to increase the knowledge about the general long-term development of insect communities, comprehensive long-term monitoring studies are needed. In addition, long-term effects of conservation strategies should also be evaluated on large time scales in order to be able to decide on a scientific base which strategies are effective in promoting possibly declining taxa. Hence, this thesis also tackles the effects of an integrative conservation strategy on wood dependent beetle and fungi, beside the development of water beetle and macro moth communities over multiple decades. In Chapter 2 I present a study on the development of water beetle communities (Dytiscidae, Haliplidae, Noteridae) in 33 water bodies in Southern Germany from 1991 to 2018. Time-standardized capture per waterbody was used during three periods: between 1991 and 1995, 2007 and 2008, and 2017 and 2018. Results showed annual declines in both species number (ca. -1%) and abundance (ca. -2%). In addition, community composition shifted over time in part due to changing pH values. Hence, the recorded changes during the 28-year study period partly reflect natural succession processes. However, since also moor-related beetle species decreased significantly, it is likely that water beetles in southern Germany are also threatened by non-successional factors, including desiccation, increased nitrogen input and/or mineralization, as well as the loss of specific habitats. The results suggest, that in small to midsize lentic waterbodies, current development should aim for constant creation of new water bodies and protection of moor waterbodies in order to protect water beetle communities on a landscape scale. In Chapter 3 I present an analysis of the development of nocturnal macro moth species richness, abundance and biomass over four decades in forests of southern Germany. Two local scale data sets featuring a coppiced oak forest as well as an oak high forest were analysed separately from a regional data set representing all forest types in the temperate zone of Central Europe. At the regional scale species richness, abundance and biomass showed annual declines of ca. 1 %, 1.3 % and 1.4 %, respectively. These declines were more pronounced in plant host specialists and in dark coloured species. In contrast, species richness increased by ca. 1.5 % annually in the coppiced forest, while no significant trends were found in the high forest. In contrast to past assumptions, insect decline apparently affects also hyper diverse insect groups in forests. Since host specialists and dark coloured species were affected more heavily by the decline than other groups, habitat loss and climate change seem to be potential drivers of the observed trends. However, the positive development of species richness in the coppiced oak forest indicates that maintaining complex and diverse forest ecosystems through active management might compensate for negative trends in biodiversity. Chapter 4 features a study specifically aiming to investigate the long-term effect of deadwood enrichment as an integrative conservation strategy on saproxylic beetles and fungi in a central European beech forest at a landscape scale. A before–after control–impact design, was used to compare assemblages and gamma diversities of saproxylic organisms (beetles and fungi) in strictly protected old-growth forest areas (reserves) and previously moderately and intensively managed forest areas. Forests were sampled one year before and a decade after starting a landscape-wide strategy of dead-wood enrichment. Ten years after the start of the dead-wood enrichment, neither gamma diversities of saproxylic organisms nor species composition of beetles did reflect the previous management types anymore. However, fungal species composition still mirrored the previous management gradient. The results demonstrated that intentional enrichment of dead wood at the landscape scale can effectively restore communities of saproxylic organisms and may thus be a suitable strategy in addition to permanent strict reserves in order to protect wood dependent organisms in Europe. In this thesis I showed, that in contrast to what was assumed and partly reported so far, also water beetles in lentic water bodies and macro moths in forests decreased in species richness, abundance and biomass during the last three to four decades. In line with earlier studies, especially dark coloured species and specialists decreased more than light-coloured species and generalists. The reasons for these declines could partly be attributed to natural processes and pollution and possibly to climate change. However, further studies, especially experimental ones, will be needed to achieve a better understanding of the reasons for insect decline. Furthermore, analyses of time series data should be interpreted cautiously especially if the number of sampling years is smaller than ten years. In addition, validation techniques such as left- and right- censoring and cross validation should be used in order to proof the robustness of the analyses. However, the lack of knowledge, we are still facing today, should not prevent scientists and practitioners from applying conservation measures. In order to prove the effectiveness of such measures, long-term monitoring is crucial. Such control of success is essential for evidence based and thus adapted conservation strategies of threatened organisms.
Pertussis is a highly contagious acute respiratory disease of humans which is mainly caused by the gram-negative obligate human pathogen Bordetella pertussis. Despite the availability and extensive use of vaccines, the disease persists and has shown periodic re-emergence resulting in an estimated 640,000 deaths worldwide in 2014. The pathogen expresses various virulence factors that enable it to modulate the host immune response, allowing it to colonise the ciliated airway mucosa. Many of these factors also directly interfere with host signal transduction systems, causing damage to the ciliated airway mucosa and increase mucous production. Of the many virulence factors of B. pertussis, only the tracheal cytotoxin (TCT) is able to recapitulate the pathophysiology of ciliated cell extrusion and blebbing in animal models and in human nasal biopsies. Furthermore, due to the lack of appropriate human models and donor materials, the role of bacterial virulence factors has been extrapolated from studies using animal models infected with either B. pertussis or with the closely related species B. bronchiseptica which naturally causes respiratory infections in these animals and produces many similar virulence factors. Thus, in the present work, in vitro airway mucosa models developed by co-culturing human airway epithelia cells and fibroblasts from the conduction zone of the respiratory tract on a decellularized porcine small intestine submucosa scaffold (SISser®) were used, since these models have a high correlation to native human conducting zone respiratory epithelia. The major aim was to use the engineered airway mucosa models to elucidate the contribution of B. pertussis TCT in the pathophysiology of the disease as well as the virulence mechanism of B. pertussis in general. TCT and lipopolysaccharide (LPS) either alone or in combination were observed to induce epithelial cell blebbing and necrosis in the in vitro airway mucosa model. Additionally, the toxins induced viscous hyper-mucous secretion and significantly disrupted barrier properties of the in vitro airway mucosa models. This work also sought to assess the invasion and intracellular survival of B. pertussis in the polarised epithelia, which has been critically discussed for many years in the literature. Infection of the models with B. pertussis showed that the bacteria can adhere to the models and invade the epithelial cells as early as 6 hours post inoculation. Invasion and intracellular survival assays indicated the bacteria could invade and persist intracellularly in the epithelial cells for up to 3 days. Due to the novelty of the in vitro airway mucosa models, this work also intended to establish a method for isolating individual cells for scRNA-seq after infection with B. pertussis. Cold dissociation with Bacillus licheniformis subtilisin A was found to be capable of dissociating the cells without inducing a strong fragmentation, a problem which occurs when collagenase and trypsin/EDTA are used. In summary, the present work showed that TCT acts possibly in conjunction with LPS to disrupt the human airway mucosa much like previously shown in the hamster tracheal ring models and thus appears to play an important role during the natural B. pertussis infection. Furthermore, we established a method for infecting and isolating infected cells from the airway mucosa models in order to further investigate the effect of B. pertussis infection on the different cell populations in the airway by single cell analytics in the future.
Clinical practice in CMR with respect to cardiovascular disease is currently focused on tissue characterization, and cardiac function, in particular. In recent years MRI based diffusion tensor imaging (DTI) has been shown to enable the assessment of microstructure based on the analysis of Brownian motion of water molecules in anisotropic tissue, such as the myocardium. With respect to both functional and structural imaging, 7T MRI may increase SNR, providing access to information beyond the reach of clinically applied field strengths. To date, cardiac 7T MRI is still a research modality that is only starting to develop towards clinical application.
In this thesis we primarily aimed to advance methods of ultrahigh field CMR using the latest 7T technology and its application towards the functional and structural characterization of the myocardium.
Regarding the assessment of myocardial microstructure at 7T, feasibility of ex vivo DTI of large animal hearts was demonstrated. In such hearts a custom sequence implemented for in vivo DTI was evaluated and fixation induced alterations of derived diffusion metrics and tissue properties were assessed. Results enable comparison of prior and future ex vivo DTI studies and provide information on measurement parameters at 7T.
Translating developed methodology to preclinical studies of mouse hearts, ex vivo DTI provided highly sensitive surrogates for microstructural remodeling in response to subendocardial damage. In such cases echocardiography measurements revealed mild diastolic dysfunction and impaired longitudinal deformation, linking disease induced structural and functional alterations. Complementary DTI and echocardiography data also improved our understanding of structure-function interactions in cases of loss of contractile myofiber tracts, replacement fibrosis, and LV systolic failure.
Regarding the functional characterization of the myocardium at 7T, sequence protocols were expanded towards a dedicated 7T routine protocol, encompassing accurate cardiac planning and the assessment of cardiac function via cine imaging in humans.
This assessment requires segmentation of myocardial contours. For that, artificial intelligence (AI) was developed and trained, enabling rapid automatic generation of cardiac segmentation in clinical data. Using transfer learning, AI models were adapted to cine data acquired using the latest generation 7T system. Methodology for AI based segmentation was translated to cardiac pathology, where automatic segmentation of scar tissue, edema and healthy myocardium was achieved.
Developed radiofrequency hardware facilitates translational studies at 7T, providing controlled conditions for future method development towards cardiac 7T MRI in humans.
In this thesis the latest 7T technology, cardiac DTI, and AI were used to advance methods of ultrahigh field CMR. In the long run, obtained results contribute to diagnostic methods that may facilitate early detection and risk stratification in cardiovascular disease.
The outcome of the innate immune response to biomaterials mainly determines whether the material will be incorporated in the body to fulfill its desired function or, when it gets encapsulated, will be rejected in the worst case. Macrophages are key players in this process, and their polarization state with either pro- (M1), anti-inflammatory (M2), or intermediate characteristics is crucial for deciding on the biomaterial’s fate. While a transient initial pro-inflammatory state is helpful, a prolonged inflammation deteriorates the proper healing and subsequent regeneration. Therefore, biomaterial-based polarization may aid in driving macrophages in the desired direction. However, the in vivo process is highly complex, and a mono-culture of macrophages in vitro displays only one part of the cellular system, but, to this date, there is a lack of established co-cultures to assess the immune response to biomaterials. Thus, this thesis aimed to establish a functional co-culture system of human macrophages and human mesenchymal stromal cells (hMSCs) to improve the assessment of the immune response to biomaterials in vitro. Together with macrophages, hMSCs are involved in tissue regeneration and inflammatory reactions and can modulate the immune response. In particular, endogenously derived hMSCs considerably contribute to the successful engrafting of biomaterials. This thesis focused on poly(ε-caprolactone) (PCL) fiber-based scaffolds produced by the technique of melt electrowriting (MEW) as biomaterial constructs. Via this fabrication technique, uniform, precisely ordered scaffolds varying in geometry and pore size have been created in-house.
To determine the impact of scaffold geometries and pore sizes on macrophages, mono-cultures incubated on scaffolds were conducted. As a pre-requisite to achieve a functional co-culture system on scaffolds, setups for direct and indirect systems in 2D have initially been established. These setups were analyzed for the capability of cell-cell communication. In parallel, a co-culture medium suitable for both cell types was defined, prior to the establishment of a step-by-step procedure for the co-cultivation of human macrophages and hMSCs on fiber-based scaffolds.
Regarding the scaffold morphologies tested within this thesis to improve M2-like polarization, box-shaped scaffolds outperformed triangular-, round- or disordered-shaped ones. Upon further investigation of scaffolds with box-shaped pores and precise inter-fiber spacing from 100 µm down to only 40 µm, decreasing pore sizes facilitated primary human macrophage elongation accompanied by their differentiation towards the M2 type, which was most pronounced for the smallest pore size of 40 µm. To the best of my knowledge, this was the first time that the elongation of human macrophages in a 3D environment has been correlated to their M2-like polarization. Thus, these results may set the stage for the design, the assessment, and the selection of new biomaterials, which can positively affect the tissue regeneration.
The cell communication of both cell types, detected via mitochondria exchange in direct and indirect co-cultures systems, took place in both directions, i.e., from hMSCs to macrophages and vice versa. Thereby, in direct co-culture, tunneling nanotubes enabled the transfer from one cell type to the respective other, while in indirect co-culture, a non-directional transfer through extracellular vesicles (EVs) released into the medium seemed likely. Moreover, the phagocytic activity of macrophages after 2D co-cultivation and hence immunomodulation by hMSCs increased with the highest phagocytic rate after 48 h being most pronounced in direct co-cultivation.
As the commonly used serum supplements for macrophages and hMSCs, i.e., human serum (hS) and fetal calf serum (FCS), respectively, failed to support the respective other cell type during prolonged cultivation, these sera were replaced by human platelet lysate (hPL), which has been proven to be the optimal supplement for the co-cultivation of human macrophages with hMSCs within this thesis. Thereby, the phenotype of both cell types, the distribution of both cell populations, the phagocytic activity of macrophages, and the gene expression profiles were maintained and comparable to the respective standard mono-culture conditions. This was even true when hPL was applied without the anticoagulant heparin in all cultures with macrophages, and therefore, heparin was omitted for further experiments comprising hPL and macrophages.
Accordingly, a step-by-step operating procedure for the co-cultivation on fiber-based scaffolds has been established comprising the setup for 3D cultivation as well as the description of methods for the analysis of phenotypical and molecular changes upon contact with the biomaterial. The evaluation of the macrophage response depending on the cultivation with or without hMSCs and either on scaffolds or on plastic surfaces has been successfully achieved and confirmed the functionality of the suggested procedures.
In conclusion, the functional co-culture system of human macrophages and hMSCs established here can now be employed to assess biomaterials in terms of the immune response in a more in vivo-related way. Moreover, specifically designed scaffolds used within the present thesis showed auspicious design criteria positively influencing the macrophage polarization towards the anti-inflammatory, pro-healing type and might be adaptable to other biomaterials in future approaches.
Hence, follow-up experiments should focus on the evaluation of the co-culture outcome on promising scaffolds, and the suggested operating procedures should be adjusted to further kinds of biomaterials, such as cements or hydrogels.
Functions of bounded variation are most important in many fields of mathematics. This thesis investigates spaces of functions of bounded variation with one variable of various types, compares them to other classical function spaces and reveals natural “habitats” of BV-functions. New and almost comprehensive results concerning mapping properties like surjectivity and injectivity, several kinds of continuity and compactness of both linear and nonlinear operators between such spaces are given. A new theory about different types of convergence of sequences of such operators is presented in full detail and applied to a new proof for the continuity of the composition operator in the classical BV-space. The abstract results serve as ingredients to solve Hammerstein and Volterra integral equations using fixed point theory. Many criteria guaranteeing the existence and uniqueness of solutions in BV-type spaces are given and later applied to solve boundary and initial value problems in a nonclassical setting.
A big emphasis is put on a clear and detailed discussion. Many pictures and synoptic tables help to visualize and summarize the most important ideas. Over 160 examples and counterexamples illustrate the many abstract results and how delicate some of them are.
Aims
Ischaemic stroke (IS) might induce alterations of cardiac function. Prospective data on frequency of cardiac dysfunction and heart failure (HF) after IS are lacking. We assessed prevalence and determinants of diastolic dysfunction (DD), systolic dysfunction (SD), and HF in patients with acute IS.
Methods and results
The Stroke‐Induced Cardiac FAILure in mice and men (SICFAIL) study is a prospective, hospital‐based cohort study. Patients with IS underwent a comprehensive assessment of cardiac function in the acute phase (median 4 days after IS) including clinical examination, standardized transthoracic echocardiography by expert sonographers, and determination of blood‐based biomarkers. Information on demographics, lifestyle, risk factors, symptoms suggestive of HF, and medical history was collected by a standardized personal interview. Applying current guidelines, cardiac dysfunction was classified based on echocardiographic criteria into SD (left ventricular ejection fraction < 52% in men or <54% in women) and DD (≥3 signs of DD in patients without SD). Clinically overt HF was classified into HF with reduced, mid‐range, or preserved ejection fraction. Between January 2014 and February 2017, 696 IS patients were enrolled. Of them, patients with sufficient echocardiographic data on SD were included in the analyses {n = 644 patients [median age 71 years (interquartile range 60–78), 61.5% male]}. In these patients, full assessment of DD was feasible in 549 patients without SD (94%). Prevalence of cardiac dysfunction and HF was as follows: SD 9.6% [95% confidence interval (CI) 7.6–12.2%]; DD in patients without SD 23.3% (95% CI 20.0–27.0%); and clinically overt HF 5.4% (95% CI 3.9–7.5%) with subcategories of HF with preserved ejection fraction 4.35%, HF with mid‐range ejection fraction 0.31%, and HF with reduced ejection fraction 0.78%. In multivariable analysis, SD and fulfilment of HF criteria were associated with history of coronary heart disease [SD: odds ratio (OR) 3.87, 95% CI 1.93–7.75, P = 0.0001; HF: OR 2.29, 95% CI 1.04–5.05, P = 0.0406] and high‐sensitive troponin T at baseline (SD: OR 1.78, 95% CI 1.31–2.42, P = 0.0003; HF: OR 1.66, 95% CI 1.17–2.33, P = 0.004); DD was associated with older age (OR 1.08, 95% CI 1.05–1.11, P < 0.0001) and treated hypertension vs. no hypertension (OR 2.84, 95% CI 1.23–6.54, P = 0.0405).
Conclusions
A substantial proportion of the study population exhibited subclinical and clinical cardiac dysfunction. SICFAIL provides reliable data on prevalence and determinants of SD, DD, and clinically overt HF in patients with acute IS according to current guidelines, enabling further clarification of its aetiological and prognostic role.
Objectives: We compared the effect of different didactic formats - e - learning and role-playing - on medical students' knowledge and counselling skills in smoking cessation training.
Methods: At a German medical school, 145 third-year students were randomly allocated to attend an online course with video examples or an attendance course with role-playing. Students were trained in smoking cessation counselling according to the 5A's (ask, advise, assess, assist, arrange) for approximately 90 minutes. Practical skills were measured in an objective structured clinical examination (OSCE) and represent the primary endpoint of this prospective comparative study. Additionally, changes in theoretic knowledge were assessed by pre - and post - interventional questionnaires and a final written exam.
Results: In the OSCE, overall scores were higher in the attendance group (Mdn=70.8 % vs. 62.8 %; U=119; p=.087, n=36), but a statistical advantage was only found in one single counselling sequence (“Assist”: Mdn=66.7 % vs. 51.4 %; p = .049) and the rating of the standardised patients (M=4.7 vs. 4.2 out of 5 points, t(27.836)=2.0, p=.028). Students’ results (n=130) from self-assessment and written exams suggest that both approaches are equally well suited to increase theoretical knowledge. The online course was more time efficient (90 vs. 73 minutes).
Conclusions: Seminar and web-based training seem equally well suited for transferring knowledge and skills on tobacco cessation counselling. Considering their particular strengths, these two teaching approaches could be combined.
Background
Landscape composition is known to affect both beneficial insect and pest communities on crop fields. Landscape composition therefore can impact ecosystem (dis)services provided by insects to crops. Though landscape effects on ecosystem service providers have been studied in large-scale agriculture in temperate regions, there is a lack of representation of tropical smallholder agriculture within this field of study, especially in sub-Sahara Africa. Legume crops can provide important food security and soil improvement benefits to vulnerable agriculturalists. However, legumes are dependent on pollinating insects, particularly bees (Hymenoptera: Apiformes) for production and are vulnerable to pests. We selected 10 pigeon pea (Fabaceae: Cajunus cajan (L.)) fields in Malawi with varying proportions of semi-natural habitat and agricultural area within a 1 km radius to study: (1) how the proportion of semi-natural habitat and agricultural area affects the abundance and richness of bees and abundance of florivorous blister beetles (Coleoptera: Melloidae), (2) if the proportion of flowers damaged and fruit set difference between open and bagged flowers are correlated with the proportion of semi-natural habitat or agricultural area and (3) if pigeon pea fruit set difference between open and bagged flowers in these landscapes was constrained by pest damage or improved by bee visitation.
Methods
We performed three, ten-minute, 15 m, transects per field to assess blister beetle abundance and bee abundance and richness. Bees were captured and identified to (morpho)species. We assessed the proportion of flowers damaged by beetles during the flowering period. We performed a pollinator and pest exclusion experiment on 15 plants per field to assess whether fruit set was pollinator limited or constrained by pests.
Results
In our study, bee abundance was higher in areas with proportionally more agricultural area surrounding the fields. This effect was mostly driven by an increase in honeybees. Bee richness and beetle abundances were not affected by landscape characteristics, nor was flower damage or fruit set difference between bagged and open flowers. We did not observe a positive effect of bee density or richness, nor a negative effect of florivory, on fruit set difference.
Discussion
In our study area, pigeon pea flowers relatively late—well into the dry season. This could explain why we observe higher densities of bees in areas dominated by agriculture rather than in areas with more semi-natural habitat where resources for bees during this time of the year are scarce. Therefore, late flowering legumes may be an important food resource for bees during a period of scarcity in the seasonal tropics. The differences in patterns between our study and those conducted in temperate regions highlight the need for landscape-scale studies in areas outside the temperate region.
Two series of organic–inorganic composite materials were synthesized through solvothermal imine condensation between diketopyrrolopyrrole dialdehyde DPP-1 and 5,10,15,20-tetrakis(4-aminophenyl)porphyrin (TAPP) in the presence of varying amounts of either amino- or carboxy-functionalized superparamagnetic iron oxide nanoparticles (FeO). Whereas high FeO loading induced cross-linking of the inorganic nanoparticles by amorphous imine polymers, a lower FeO content resulted in the formation of crystalline covalent organic framework domains. All hybrid materials were analyzed by magnetization measurements, powder X-ray diffraction, electron microscopy, IR, and UV/Vis absorption spectroscopy. Crystallinity, chromophore stacking, and visible absorption features are directly correlated to the mass fraction of the components, thus allowing for a fine-tuning of materials properties.
Many species synchronize reproductive behavior with a particular phase of the lunar cycle to increase reproductive success. In humans, a lunar influence on reproductive behavior remains controversial, although the human menstrual cycle has a period close to that of the lunar cycle. Here, we analyzed long-term menstrual recordings of individual women with distinct methods for biological rhythm analysis. We show that women’s menstrual cycles with a period longer than 27 days were intermittently synchronous with the Moon’s luminance and/or gravimetric cycles. With age and upon exposure to artificial nocturnal light, menstrual cycles shortened and lost this synchrony. We hypothesize that in ancient times, human reproductive behavior was synchronous with the Moon but that our modern lifestyles have changed reproductive physiology and behavior.
High attrition-rates entailed by drug testing in 2D cell culture and animal models stress the need for improved modeling of human tumor tissues. In previous studies our 3D models on a decellularized tissue matrix have shown better predictivity and higher chemoresistance. A single porcine intestine yields material for 150 3D models of breast, lung, colorectal cancer (CRC) or leukemia. The uniquely preserved structure of the basement membrane enables physiological anchorage of endothelial cells and epithelial-derived carcinoma cells. The matrix provides different niches for cell growth: on top as monolayer, in crypts as aggregates and within deeper layers. Dynamic culture in bioreactors enhances cell growth. Comparing gene expression between 2D and 3D cultures, we observed changes related to proliferation, apoptosis and stemness. For drug target predictions, we utilize tumor-specific sequencing data in our in silico model finding an additive effect of metformin and gefitinib treatment for lung cancer in silico, validated in vitro. To analyze mode-of-action, immune therapies such as trispecific T-cell engagers in leukemia, as well as toxicity on non-cancer cells, the model can be modularly enriched with human endothelial cells (hECs), immune cells and fibroblasts. Upon addition of hECs, transmigration of immune cells through the endothelial barrier can be investigated. In an allogenic CRC model we observe a lower basic apoptosis rate after applying PBMCs in 3D compared to 2D, which offers new options to mirror antigen-specific immunotherapies in vitro. In conclusion, we present modular human 3D tumor models with tissue-like features for preclinical testing to reduce animal experiments.
Background: Computed tomography (CT) pulmonary angiography is the diagnostic reference standard in suspected pulmonary embolism (PE). Favorable results for dual-energy CT (DECT) images have been reported for this condition. Nowadays, dual-energy data acquisition is feasible with different technical options, including a single-source split-filter approach. Therefore, the aim of this retrospective study was to investigate image quality and radiation dose of thoracic split-filter DECT in comparison to conventional single-energy CT in patients with suspected PE.
Methods: A total of 110 CT pulmonary angiographies were accomplished either as standard single-energy CT with automatic tube voltage selection (ATVS) (n=58), or as split-filter DECT (n=52). Objective [pulmonary artery CT attenuation, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR)] and subjective image quality [four-point Likert scale; three readers (R)] were compared among the two study groups. Size-specific dose estimates (SSDE), dose-length-product (DLP) and volume CT dose index (CTDIvol) were assessed for radiation dose analysis.
Results: Split-filter DECT images yielded 67.7% higher SNR (27.0 vs. 16.1; P<0.001) and 61.9% higher CNR (22.5 vs. 13.9; P<0.001) over conventional single-energy images, whereas CT attenuation was significantly lower (344.5 vs. 428.2 HU; P=0.013). Subjective image quality was rated good or excellent in 93.0%/98.3%/77.6% (R1/R2/R3) of the single-energy CT scans, and 84.6%/82.7%/80.8% (R1/R2/R3) of the split-filter DECT scans. SSDE, DLP and CTDIvol were significantly lower for conventional single-energy CT compared to split-filter DECT (all P<0.05), which was associated with 26.7% higher SSDE.
Conclusions: In the diagnostic workup of acute PE, the split-filter allows for dual-energy data acquisition from single-source single-layer CT scanners. The existing opportunity to assess pulmonary “perfusion” based on analysis of iodine distribution maps is associated with higher radiation dose in terms of increased SSDE than conventional single-energy CT with ATVS. Moreover, a proportion of up to 3.8% non-diagnostic examinations in the current reference standard test for PE is not negligible.
Single mRNA molecules are frequently detected by single molecule fluorescence in situ hybridization (smFISH) using branched DNA technology. While providing strong and background-reduced signals, the method is inefficient in detecting mRNAs within dense structures, in monitoring mRNA compactness and in quantifying abundant mRNAs. To overcome these limitations, we have hybridized slices of high pressure frozen, freeze-substituted and LR White embedded cells (LR White smFISH). mRNA detection is physically restricted to the surface of the resin. This enables single molecule detection of RNAs with accuracy comparable to RNA sequencing, irrespective of their abundance, while at the same time providing spatial information on RNA localization that can be complemented with immunofluorescence and electron microscopy, as well as array tomography. Moreover, LR White embedding restricts the number of available probe pair recognition sites for each mRNA to a small subset. As a consequence, differences in signal intensities between RNA populations reflect differences in RNA structures, and we show that the method can be employed to determine mRNA compactness. We apply the method to answer some outstanding questions related to trans-splicing, RNA granules and mitochondrial RNA editing in single-cellular trypanosomes and we show an example of differential gene expression in the metazoan Caenorhabditis elegans.
Having control over the landscape played an important role in the geography and economy of Egypt from the predynastic period onwards. Especially from the beginning of the Old Kingdom, we have evidence that kings created new places (funerary domains) called (centers) and (Ezbah) for the equipment of the building projects of the royal tomb and the funerary cult of the king, as well as to ensure the eternal life of both kings and individuals. Kings used these localities in order to do so, and they oftentimes expanded the border of an existing nome and created new establishments. Consequently, these establishments were united or divided into new nomes. The paper discusses the geography of Lower Egypt and the associated royal domains in the early Fifth Dynasty based on the new discoveries from the causeway of Sahura at Abusir.
Prospective longitudinal follow‐up of left ventricular ejection fraction (LVEF) trajectories after acute cardiac decompensation of heart failure is lacking. We investigated changes in LVEF and covariates at 6‐months' follow‐up in patients with a predischarge LVEF ≤40%, and determined predictors and prognostic implications of LVEF changes through 18‐months' follow‐up.
Methods and Results
Interdisciplinary Network Heart Failure program participants (n=633) were categorized into subgroups based on LVEF at 6‐months' follow‐up: normalized LVEF (>50%; heart failure with normalized ejection fraction, n=147); midrange LVEF (41%–50%; heart failure with midrange ejection fraction, n=195), or persistently reduced LVEF (≤40%; heart failure with persistently reduced LVEF , n=291). All received guideline‐directed medical therapies. At 6‐months' follow‐up, compared with patients with heart failure with persistently reduced LVEF, heart failure with normalized LVEF or heart failure with midrange LVEF subgroups showed greater reductions in LV end‐diastolic/end‐systolic diameters (both P<0.001), and left atrial systolic diameter (P=0.002), more increased septal/posterior end‐diastolic wall‐thickness (both P<0.001), and significantly greater improvement in diastolic function, biomarkers, symptoms, and health status. Heart failure duration <1 year, female sex, higher predischarge blood pressure, and baseline LVEF were independent predictors of LVEF improvement. Mortality and event‐free survival rates were lower in patients with heart failure with normalized LVEF (P=0.002). Overall, LVEF increased further at 18‐months' follow‐up (P<0.001), while LV end‐diastolic diameter decreased (P=0.048). However, LVEF worsened (P=0.002) and LV end‐diastolic diameter increased (P=0.047) in patients with heart failure with normalized LVEF hospitalized between 6‐months' follow‐up and 18‐months' follow‐up.
Conclusions
Six‐month survivors of acute cardiac decompensation for systolic heart failure showed variable LVEF trajectories, with >50% showing improvements by ≥1 LVEF category. LVEF changes correlated with various parameters, suggesting multilevel reverse remodeling, were predictable from several baseline characteristics, and were associated with clinical outcomes at 18‐months' follow‐up. Repeat hospitalizations were associated with attenuation of reverse remodeling."
In the course of this work, a total of three photocatalytically active dyads for proton reduction could be synthesized together with the associated individual components. Two of them, D1 and D2, comprised a [Ru(bpy)3]2+ photosensitizer and D3 an [Ir(ppy)2bpy]+ photosensitizer. A Ppyr3-substituted propyldithiolate [FeFe] complex was used as catalyst in all systems. The absorption spectroscopic and electrochemical investigations showed that an inner-dyadic electronic coupling is effectively prevented in the dyads due to conjugation blockers within the bridging units used. The photocatalytic investigations exhibited that all dyad containing two-component systems (2CS) showed a significantly worse performance than the corresponding bimolecular three-component systems (3CS). Transient absorption spectroscopy showed that the 2CS behave very similarly to the associated multicomponent systems during photocatalysis. The electron that was intended for the intramolecular transfer from the photosensitizer unit to the catalyst unit within the dyads remains at the photosensitizer for a relatively long time, analogous to the 3CS and despite the covalently bound catalyst. It is therefore assumed that this intramolecular electron transfer is likely to be hindered as a result of the weak electronic coupling caused by the bridge units used. Instead, the system bypasses this through an intermolecular transfer to other dyad molecules in the immediate vicinity. In addition, with the help of emission quenching experiments and electrochemical investigations, it could be clearly concluded that all investigated systems proceed via the reductive quenching mechanism during photocatalysis.
The nuclear envelope serves as important mRNA surveillance system. In yeast and humans, several control mechanisms act in parallel to prevent nuclear export of unprocessed mRNAs. However, trypanosomes lack homologues to most of the proteins involved. In addition, gene expression in trypanosomes relies almost completely on post-transcriptional regulation as they transcribe mRNAs as long polycistrons, which are subsequently processed into individual mRNA molecules by trans-splicing. As trans-splicing is not error-free, unspliced mRNAs may be recognized and prevented from reaching the cytoplasm by a yet unknown mechanism.
When trans-splicing is inhibited in trypanosomes, the formation of a novel RNA granule type at the cytoplasmic periphery of the nucleus, so called nuclear periphery granules (NPGs) was previously observed. To identify potential regulators of nuclear export control, changes in protein localization which occur when trans-splicing is inhibited, were globally analyzed during this work. For this, trypanosome nuclei were purified under conditions maintaining NPG attachment to the nucleus, in the absence and presence of trans-splicing. Mass spectrometry analyses identified 128 proteins which are specifically enriched in nuclear preparations of cells inhibited for trans-splicing. Amongst them are proteins, which change their localization to the nucleus or to the nuclear pores as well as many proteins that move into NPGs. Some of these proteins are promising candidates for nuclear export control proteins, as the changes in localization (to the nucleus or nuclear pores) were specific to the accumulation of unspliced mRNAs. The NPG proteome almost exclusively contains proteins involved in mRNA metabolism, mostly unique to trypanosomes, notably major translation initiation factors were absent. These data indicate that NPGs are RNP complexes which have started or completed nuclear export, but not yet entered translation. As a byproduct of these proteomic studies, a high-quality dataset of the yet unknown T. brucei nuclear proteome is provided, closing an important gap in knowledge to study trypanosome biology, in particular nuclear related processes.
NPGs were characterized in more detail by microscopy. The granules are cytoplasmic and present in at least two different trypanosome life cycle stages. There are at least two distinct granule subsets, with differences in protein composition. A closer analysis of NPGs by electron microscopy revealed that the granules are electron dense structures, which are connected to nuclear pores by string-like structures.
In order to approach the function of NPGs, on the one hand, the hypothesis that NPGs might be related to perinuclear germ granules of adult gonads of C. elegans was tested: we found no relation between the two granule types. On the other hand, initial single molecule mRNA FISH experiments performed in trypanosomes showed no accumulation of unspliced transcripts in NPGs, arguing against an involvement of the granules in mRNA quality control.
The tropomysin receptor kinase B (TrkB), the receptor for the neurotrophin brain-derived neurotrophic factor (BDNF), plays an important role in neuronal survival, neuronal differentiation, and cellular plasticity. Conventionally, TrkB activation is induced by binding of BDNF at extracellular sites and subsequent dimerization of receptor monomers. Classical Trk signaling concepts have failed to explain ligand-independent signaling of intracellular TrkB or oncogenic NTRK-fusion proteins. The intracellular activation domain of TrkB consists of a tyrosine kinase core, with three tyrosine (Y) residues at positions 701, 705 and 706, that catalyzes the phosphorylation reaction between ATPγ and tyrosine. The release of cisautoinhibition of the kinase domain activates the kinase domain and tyrosine residues outside of the catalytic domain become phosphorylated. The aim of this study was to find out how ligand-independent activation of TrkB is brought about. With the help of phosphorylation mutants of TrkB, it has been found that a high, local abundance of the receptor is sufficient to activate TrkB in a ligand-independent manner. This self-activation of TrkB was blocked when either the ATP-binding site or Y705 in the core domain was mutated. The vast majority of this self-active TrkB was found at intracellular locations and was preferentially seen in roundish cells, lacking filopodia. Live cell imaging of actin dynamics showed that self-active TrkB changed the cellular morphology by reducing actin filopodia formation. Signaling cascade analysis confirmed that self-active TrkB is a powerful activator of focal adhesion kinase (FAK). This might be the reason why self-active TrkB is able to disrupt actin filopodia formation. The signaling axis from Y705 to FAK could be mimicked by expression of the soluble, cytosolic TrkB kinase domain. However, the signaling pathway was inactive, when the TrkB kinase domain was targeted to the plasmamembrane with the help of artificial myristoylation membrane anchors. A cancer-related intracellular NTRK2-fusion protein (SQSTM1-NTRK2) also underwent constitutive kinase activation. In glioblastoma-like U87MG cells, self-active TrkB kinase reduced cell migration. These constitutive signaling pathways could be fully blocked within minutes by clinically approved, anti-tumorigenic Trk inhibitors. Moreover, this study found evidences for constitutively active, intracellular TrkB in tissue of human grade IV glioblastoma. In conclusion, the data provide an explanation and biological function for selfactive, constitutive TrkB kinase domain signaling, in the absence of a ligand.
Herein described is the discovery of three novel types of dimeric naphthylisoquinoline alkaloids, named mbandakamines, cyclombandakamines, and spirombandakamines. They were found in the leaves of a botanically as yet unidentified, potentially new Ancistrocladus species, collected in the rainforest of the Democratic Republic of the Congo (DRC). Mbandakamines showed an exceptional 6′,1′′-coupling, in the peri-position neighboring one of the outer axes, leading to an extremely high steric hindrance at the central axis, and to U-turn-like molecular shape, which – different from all other dimeric NIQs, whose basic structures are all quite linear – brings three of the four bicyclic ring systems in close proximity to each other. This created an unprecedented follow-up chemistry, involving ring closure reactions, leading to two further, structurally even more intriguing subclasses, the cyclo- and the spirombandakamines, displaying eight stereogenic elements (the highest total number ever found in naphthylisoquinoline alkaloids). The metabolites exhibited pronounced antiplasmodial and antitrypanosomal activities. Likewise reported in this doctoral thesis are the isolation and structural elucidation of naphthylisoquinoline alkaloids from two further potentially new Ancistrocladus species from DRC. Some of these metabolites have shown pronounced antiausterity activities against human pancreatic cancer PANC-1 cells.
Ants belong to the most successful insects living on our planet earth. One criterion of their tremendous success is the division of labor among workers that can be related to age (age¬– or temporal polyethism) and/ or body size (size–related polymorphism). Young ants care for the queen and brood in the nest interior and switch to foraging tasks in the outside environment with ongoing age. This highly flexible interior–exterior transition probably allows the ant workers to properly match the colony needs and is one of the most impressive behaviors a single worker undergoes during its life. As environmental stimuli are changing with this transition, workers are required to perform a new behavioral repertoire. This requires significant adaptions in sensory and higher¬–order integration centers in the brain, like the mushroom bodies. Furthermore, foragers need proper time measuring mechanisms to cope with daily environmental changes and to adapt their own mode of life. Therefore, they possess a functional endogenous clock that generates rhythms with a period length of approximately 24 hours. The species–rich genus of Camponotus ants constitute a rewarding model to study how behavioral duties of division of labor were performed and modulated within the colony and how synaptic plasticity in the brain is processed, as they can divide their labor to both, age and body size, simultaneously.
In my PhD thesis, I started to investigate the behavioral repertoire (like foraging and locomotor activity) of two sympatric Camponotus species, C. mus and C. rufipes workers under natural and under controlled conditions. Furthermore, I focused on the division of labor in C. rufipes workers and started to examine structural and ultrastructural changes of neuronal architectures in the brain that are accompanied by the interior–exterior transition of C. rufipes ants.
In the first part of my thesis, I started to analyze the temporal organization of task allocation throughout the life of single C. rufipes workers. Constant video–tracking of individually labeled workers for up to 11 weeks, revealed an age–related division of labor of interior and exterior workers. After emergence, young individuals are tended to by older ones within the first 48 hours of their lives before they themselves start nurturing larvae and pupae. Around 52% switch to foraging duties at an age of 14–20 days. The workers that switched to foraging
tasks are mainly media–sized workers and seem to be more specialized than nurses. Variations in proportion and the age of switching workers between and within different subcolonies indicate how highly flexible and plastic the age–related division of labor occurs in this ant species. Most of the observed workers were engaged in foraging tasks exclusively during nighttime. As the experiments were conducted in the laboratory, they are completely lacking environmental stimuli of the ants´ natural habitat.
I therefore asked in a second study, how workers of the two closely related Camponotus species, C. rufipes and C. mus, adapt their daily activity patterns (foraging and locomotor activity) under natural (in Uruguay, South America) and controlled (in the laboratory) conditions to changing thermal conditions. Monitoring the foraging activity of both Camponotus species in a field experiment revealed, that C. mus workers are exclusively diurnal, whereas C. rufipes foragers are predominantly nocturnal. However, some nests showed an elevated daytime activity, which could be an adaption to seasonally cold night temperatures. To further investigate the impact of temperature and light on the differing foraging activity patterns in the field, workers of both Camponotus species were artificially exposed to different thermal regimes in the laboratory, simulating local winter and summer conditions. Here again, C. mus workers display solely diurnal locomotor activity, whereas workers of C. rufipes shifted their locomotor activity from diurnal under thermal winter conditions to nocturnal under thermal summer conditions. Hence, the combination of both, field work and laboratory studies, shows that daily activity is mostly shaped by thermal conditions and that temperature cycles are not just limiting foraging activity but can be used as zeitgeber to schedule the outside activities of the nests.
Once an individual worker switches from indoor duties to exterior foraging tasks, it is confronted with an entirely new set of sensory information. To cope with changes of the environmental conditions and to facilitate the behavioral switch, workers need a highly flexible and plastic neuronal system. Hence, my thesis further focuses on the underlying neuronal adaptations of the visual system, including the optic lobes as the primary visual neuropil and the mushroom bodies as secondary visual brain neuropil, that are accompanied with the behavioral switch from nursing to foraging. The optic lobes as well as the mushroom bodies of light–deprived workers show an `experience–independent´ volume increase during the first two weeks of adulthood. An additional light exposure for 4 days induces an `experience–dependent´ decrease of synaptic complexes in the mushroom body collar,
followed by an increase after extended light exposure for 14 days. I therefore conclude, that the plasticity of the central visual system represents important components for the optimal timing of the interior–exterior transitions and flexibility of the age–related division of labor. These remarkable structural changes of synaptic complexes suggest an active involvement of the mushroom body neuropil in the lifetime plasticity that promotes the interior–exterior transition of Camponotus rufipes ants. Beside these investigations of neuronal plasticity of synaptic complexes in the mushroom bodies on a structural level, I further started to examine mushroom body synaptic structures at the ultrastructural level. Until recently, the detection of synaptic components in projection neuron axonal boutons were below resolution using classical Transmission Electron Microscopy. Therefore, I started to implement Electron Tomography to increase the synaptic resolution to understand architectural changes in neuronal plasticity process. By acquiring double tilt series and consecutive computation of the acquired tilt information, I am now able to resolve individual clear–core and dense–core vesicles within the projection neuron cytoplasm of C. rufipes ants. I additionally was able to reveal single postsynaptic Kenyon cell dendritic spines (~62) that surround one individual projection neuron bouton. With this, I could reveal first insights into the complex neuronal architecture of single projection neuron boutons in the olfactory mushroom body lip region. The high resolution images of synaptic architectures at the ultrastructural level, received with Electron Tomography would promote the understanding of architectural changes in neuronal plasticity.
In my PhD thesis, I demonstrate that the temporal organization within Camponotus colonies involves the perfect timing of different tasks. Temperature seems to be the most scheduling abiotic factors of foraging and locomotor activity. The ants do not only need to adapt their behavioral repertoire in accordance to the interior–exterior switch, also the parts in the peripheral and central that process visual information need to adapt to the new sensory environment.
The transcription factor NRF2 is considered as the master regulator of cytoprotective and ROS-detoxifying gene expression. Due to their vulnerability to accumulating reactive oxygen species, melanomas are dependent on an efficient oxidative stress response, but to what extent melanomas rely on NRF2 is only scarcely investigated so far. In tumor entities harboring activating mutations of NRF2, such as lung adenocarcinoma, NRF2 activation is closely connected to therapy resistance. In melanoma, activating mutations are rare and triggers and effectors of NRF2 are less well characterized.
This work revealed that NRF2 is activated by oncogenic signaling, cytokines and pro-oxidant triggers, released cell-autonomously or by the tumor microenvironment. Moreover, silencing of NRF2 significantly reduced melanoma cell proliferation and repressed well-known NRF2 target genes, indicating basal transcriptional activity of NRF2 in melanoma. Transcriptomic analysis showed a large set of deregulated gene sets, besides the well-known antioxidant effectors. NRF2 suppressed the activity of MITF, a marker for the melanocyte lineage, and induced expression of epidermal growth factor receptor (EGFR), thereby stabilizing the dedifferentiated melanoma phenotype and limiting pigmentation markers and melanoma-associated antigens. In general, the dedifferentiated melanoma phenotype is associated with a reduced tumor immunogenicity. Furthermore, stress-inducible cyclooxygenase 2 (COX2) expression, a crucial immune-modulating gene, was regulated by NRF2 in an ATF4-dependent manner. Only in presence of both transcription factors was COX2 robustly induced by H2O2 or TNFα. COX2 catalyzes the first step of the prostaglandin E2 (PGE2) synthesis, which was described to be associated with tumor immune evasion and reduction of the innate immune response.
In accordance with these potentially immune-suppressive features, immunocompetent mice injected with NRF2 knockout melanoma cells had a strikingly longer tumor-free survival compared to NRF2-proficient cells. In line with the in vitro data, NRF2-deficient tumors showed suppression of COX2 and induction of MITF. Furthermore, transcriptomic analyses of available tumors revealed a strong induction of genes belonging to the innate immune response, such as RSAD2 and IFIH1. The expression of these genes strongly correlated with immune evasion parameters in human melanoma datasets and NRF2 activation or PGE2 supplementation limited the innate immune response in vitro.
In summary, the stress dependent NRF2 activation stabilizes the dedifferentiated melanoma phenotype and facilitates the synthesis of PGE2. As a result, NRF2 reduces gene expression of the innate immune response and promotes the generation of an immune-cold tumor microenvironment. Therefore, NRF2 not only elevated the ROS resilience, but also strongly contributed to tumor growth, maintenance, and immune control in cutaneous melanoma.
Gonorrhea is the second most common sexually transmitted infection worldwide and is caused by Gram-negative, human-specific diplococcus Neisseria gonorrhoeae. It colonizes the mucosal surface of the female reproductive tract and the male urethra. A rapid increase in antibiotic resistance makes gonorrhea a serious threat to public health worldwide. Since N. gonorrhoeae is a human-specific pathogen, animal infection models are not able to recapitulate all the features of infection. Therefore, a realistic in vitro cell culture model is urgently required for studying the gonorrhea infection. In this study, we established and characterized three independent 3D tissue models based on the porcine small intestinal submucosa (SIS) scaffold by co-culturing human dermal fibroblasts with human colorectal carcinoma, endometrial epithelial, and male uroepithelial cells. The histological, immunohistochemical, and ultra-structural analysis showed that the 3D SIS scaffold-based models closely mimic the main characteristics of the site of gonococcal infection in the human host including the formation of epithelial monolayer, underlying connective tissue, mucus production, tight junction (TJ), and microvilli. In addition, functional analysis such as transepithelial electrical resistance (TEER) and barrier permeability indicated high barrier integrity of the cell layer. We infected the established 3D tissue models with different N. gonorrhoeae strains and derivatives presenting various phenotypes regarding adhesion and invasion. The results showed disruption of TJs and growing the interleukins production in response to the infection, which depends on the type of strain and cell. In addition, the 3D tissue models supported bacterial survival, which provided an appropriate in vitro model for long-term infection study. This could be mainly because of the high resilience of the 3D tissue models based on the SIS scaffold to the infection in terms of alteration in permeability, cell destruction, and bacterial transmigration.
During gonorrhea infection, a high level of neutrophils migrates to the site of infection. The studies also showed that N. gonorrhoeae can survive or even replicate inside the neutrophils. Therefore, studying the interaction between neutrophils and N. gonorrhoeae is substantially under scrutiny. For this purpose, we generated a 3D tissue model by triple co-culturing of human primary fibroblast cells, human colorectal carcinoma cells, and human umbilical vein endothelial cells. The tissue model was subsequently infected by N. gonorrhoeae. A perfusion-based bioreactor system was employed to recreate blood flow in the side of endothelial cells and consequently study human neutrophils transmigration to the site of infection. We observed neutrophils activation upon the infection. Furthermore, we demonstrated the uptake of N. gonorrhoeae by human neutrophils and reverse transmigration of neutrophils to the basal side carrying N. gonorrhoeae. In summary, the introduced 3D tissue models in this research represent a promising tool to investigate N. gonorrhoeae infections under close-to-natural conditions.
Nutrition facts of pollen: nutritional quality and how it affects reception and perception in bees
(2021)
Nutrients belong to the key elements enabling life and influencing an organism’s fitness. The intake of nutrients in the right amounts and ratios can increase fitness; strong deviations from the optimal intake target can decrease fitness. Hence, the ability to assess the nutritional profile of food would benefit animals. To achieve this, they need the according nutrient receptors, the ability to interpret the receptor information via perceptive mechanisms, and the ability to adjust their foraging behavior accordingly. Additionally, eventually existing correlations between the nutrient groups and single nutrient compounds in food could help them to achieve this adjustment. A prominent interaction between food and consumer is the interaction between flowering plants (angiosperms) and animal pollinators. Usually both of the interacting partners benefit from this mutualistic interaction. Plants are pollinated while pollinators get a (most of the times) nutritional reward in form of nectar and/or pollen. As similar interactions between plants and animals seem to have existed even before the emergence of angiosperms, these interactions between insects and angiosperms very likely have co-evolved right from their evolutionary origin. Therefore, insect pollinators with the ability to assess the nutritional profile may have shaped the nutritional profile of plant species depending on them for their reproduction via selection pressure. In Chapter I of this thesis the pollen nutritional profile of many plant species was analyzed in the context of their phylogeny and their dependence on insect pollinators. In addition, correlations between the nutrients were investigated. While the impact of phylogeny on the pollen protein content was little, the mutual outcome of both of the studies included in this chapter is that protein content of pollen is mostly influenced by the plant’s dependence on insect pollinators. Several correlations found between nutrients within and between the nutrient groups could additionally help the pollinators to assess the nutrient profile of pollen. An important prerequisite for this assessment would be that the pollinators are able to differentiate between pollen of different plant species. Therefore, in Chapter II it was investigated whether bees have this ability. Specifically, it was investigated whether honeybees are able to differentiate between pollen of two different, but closely related plant species and whether bumblebees prefer one out of three pollen mixes, when they were fed with only one of them as larvae. Honeybees indeed were able to differentiate between the pollen species and bumblebees preferred one of the pollen mixes to the pollen mix they were fed as larvae, possibly due to its nutritional content. Therefore, the basis for pollen nutrient assessment is given in bees. However, there also was a slight preference for the pollen fed as larvae compared to another non-preferred pollen mix, at least hinting at the retention of larval memory in adult bumblebees. Chapter III looks into nutrient perception of bumblebees more in detail. Here it was shown that they are principally able to perceive amino acids and differentiate between them as well as different concentrations of the same amino acid. However, they do not seem to be able to assess the amino acid content in pollen or do not focus on it, but instead seem to focus on fatty acids, for which they could not only perceive concentration differences, but also were able to differentiate between. These findings were supported by feeding experiments in which the bumblebees did not prefer any of the pollen diets containing less or more amino acids but preferred pollen with less fatty acids. In no choice feeding experiments, bumblebees receiving a diet with high fatty acid content accepted undereating other nutrients instead of overeating fat, leading to increased mortality and the inability to reproduce. Hence, the importance of fat in pollen needs to be looked into further. In conclusion, this thesis shows that the co-evolution of flowering plants and pollinating insects could be even more pronounced than thought before. Insects do not only pressure the plants to produce high quality nectar, but also pressure those plants depending on insect pollination to produce high quality pollen. The reason could be the insects’ ability to receive and perceive certain nutrients, which enables them to forage selectively leading to a higher reproductive success of plants with a pollinator-suitable nutritional pollen profile.
The Orphic Hymns consist of a prooemium and 87 hymns addressed to several deities in a late Orphic initiation of sorts. They were composed probably in Asia Minor during the second or third century CE. The bulk of these hymns are made up of divine epithets often linked together in chains of considerable length. The lexicon attempts to give a comprehensive account of the roughly 850 epithets, bringing together the most relevant information scattered in the scholarly literature and adding others from various sources (literary, epigraphic, lexicographic, scholia etc.) in order to provide an overview of their usage and the main details of their models.
Within the relatively new area of research on Third Language (L3) Acquisition, the subfield of phonology is growing, but still relatively understudied. Testing the current L3 models adopted from research on L3 syntax (see Rothman 2010, Bardel & Falk 2012, Flynn et al. 2004), the studies conducted in the area have mostly focused on the source and directionality of language transfer – both into the L3 and into the respective background languages – with some recent excursions into the role of extra-linguistic factors for multilingual learners (e.g., Wrembel 2015). The findings so far (mostly on production, with perception lagging behind) have been very diverse and, depending on the concrete study, can often be taken to give evidence for any of the prevalent models. This can be attributed to the wide range of different speaker and learner biographies as well as their language combinations and state of acquisition, but crucially the dilemma seems to be inherent in the (phonological) system in and of itself since viewing phonological interlanguage transfer as a one-dimensional and immediately transparent process based on direct correspondences between language systems does not seem to capture the complex nature of the phenomenon.
In this doctoral thesis I investigate the acquisition of an additional phonological system by child and adult German heritage speakers of Turkish. Specifically, I explore how the learners deal with diverse phonological contrasts that promote positive contra negative transfer from their HL (Turkish) and their L2 (German), and how their perception and production is modulated by cognitive and affective variables. Moreover, I test contrasts that can be found neither in the HL nor in the L2 phonological system.
The studies will shed light both on the question of how a new language is shaped and affected by different existing systems and on how two or more phonological grammars co-exist and/or interact in a speaker’s mind. I will argue that, rather than being regarded as simple full projection of language-specific property sets onto the target language, phonological transfer in multilinguals needs to be considered as a process of complex interactions and layers that are established on the level of individual phonological properties and abstract (typological) associations.
This work investigates the death and degradation of the second polar body of the nematode C. elegans in order to improve our understanding how pluripotent undifferentiated cells deal with dying cells. With the use of fluorescence microscopy this work demonstrates that both polar bodies loose membrane integrity early. The second polar body has contact to embryonic cells and gets internalized, dependent on the Rac1-ortholog CED-10.
The polar body gets degraded via LC3-associated phagocytosis. While lysosome recruitment depends on RAB-7, LC3 does not improve lysosome recruitment but still accelerates polar body degradation.
This work establishes the second polar body as a genetic model to study cell death and LC3-associated phagocytosis and has revealed further aspects of phagosome maturation and degradation.
In summary, the wave-CAIPI k-space trajectory presents an efficient sampling strategy for accelerated MR acquisitions. Using wave-CAIPI in parallel imaging reconstructions leads to a reduced noise level in the reconstructed images, compared to the Cartesian standard trajectory. This effect could be quantified by means of noise and SNR calculations. An SNR gain can be traded for a reduced scan time, i.e., additional undersampling, or for an enhanced image quality, keeping scan time constant.
Acceleration of MR imaging is especially important in dynamic applications, since these examinations are inherently time-consuming. The impact of wave-CAIPI sampling on image quality and its potential for scan time reduction was investigated for two dynamic applications: self-gated dynamic 3D lung MRI during free breathing and cardiac 4D flow MRI.
Dynamic 3D Lung MRI
By employing wave-CAIPI sampling in self-gated, free-breathing dynamic 3D lung MRI for the purpose of radiotherapy treatment planning, the image quality of accelerated scans could be enhanced. Volunteer examinations were used to quantify image quality by means of similarity between accelerated and reference images. To this end, the normalized mutual information and the root-mean-square error were chosen as quantitative image similarity measures.
The wave-CAIPI sampling was shown to exhibit superior quality, especially for short scan times. The values of the normalized mutual information were (10.2 +- 7.3)% higher in the wave-CAIPI case -- the root-mean-square error was (18.9 +- 13.2)% lower on average. SNR calculations suggest an average SNR benefit of around 14% for the wave-CAIPI, compared to Cartesian sampling.
Resolution of the lung in 8 breathing states can be achieved in only 2 minutes. By using the wave-CAIPI k-space trajectory, precise tumor delineation and assessment of respiration-induced displacement is facilitated.
Cardiac 4D Flow MRI
In 4D flow MRI, acceleration of the image acquisition is essential to incorporate the corresponding scan protocols into clinical routine. In this work, a retrospective 6-fold acceleration of the image acquisition was realized. Cartesian and wave-CAIPI 4D flow examinations of healthy volunteers were used to quantify uncertainties in flow parameters for the respective sampling schemes.
By employing wave-CAIPI sampling, the estimated errors in flow parameters in 6-fold accelerated scans could be reduced by up to 55%. Noise calculations showed that the noise level in 6-fold accelerated 4D flow acquisitions with wave-CAIPI is 43% lower, compared to Cartesian sampling. Comparisons between Cartesian and wave-CAIPI 4D flow examinations with a prospective acceleration factor R=2 revealed small, but partly statistically significant discrepancies. Differences between 2-fold and 6-fold accelerated wave-CAIPI scans are comparable to the differences between Cartesian and wave-CAIPI examinations at R=2.
Wave-CAIPI 4D flow acquisitions of the aorta could be performed with an average, simulated scan time of under 4 minutes, with reduced uncertainties in flow parameters. Important visualizations of hemodynamic flow patterns in the aorta were only slightly affected by undersampling in the wave-CAIPI case, whereas for Cartesian sampling, considerable discrepancies were observed.
Water transport through the water channels, aquaporins (AQPs), is involved in epithelial fluid secretion and absorption, cell migration, brain edema, adipocyte metabolism, and other physiological or pathological functions. Modulation of AQP function has therapeutic potential in edema, cancer, obesity, brain injury, glaucoma, etc. The function of AQPs is in response to the osmotic gradient that is formed by the concentration differences of ions or small molecules. In terms of brain edema, it is a pathophysiological condition, resulting from dysfunction of the plasma membrane that causes a disorder of intracellular ion homeostasis and thus increases intracellular fluid content. Optogenetics can be used to regulate ion transport easily by light with temporal and spatial precision. Therefore, if we control the cell ion influx, boosting the water transport through AQPs, this will help to investigate the pathological mechanisms in e.g. brain edema. To this end, I investigated the possibility for optogenetic manipulating water transport in Xenopus oocytes. The main ions in Xenopus oocyte cytoplasm are ~10 mM Na+, ~50 mM Cl- and ~100 mM K+, similar to the mammalian cell physiological condition. Three light-gated channels, ChR2-XXM 2.0 (light-gated cation channel), GtACR1 (light-gated anion channel) and SthK-bPAC (light-gated potassium channel), were used in my study to regulate ion transport by light and thus manipulate the osmotic gradient and water transport. To increase water flow, I also used coexpression of AQP1. When expressing ChR2-XXM 2.0 and GtACR1 together, mainly Na+ influx was triggered by ChR2-XXM2.0 under blue light illumination, which then made the membrane potential more positive and facilitated Cl- influx by GtACR1. Due to this inward movement of Na+ and Cl-, the osmotic gradient was formed to trigger water influx through AQP1. Large amounts of water uptake can speedily increase the oocyte volume until membrane rupture. Next, when co-expressing GtACR1 and SthK-bPAC, water efflux will be triggered with blue light because of the light-gated KCl efflux and then oocyte shrinking could be observed.
I also developed an optogenetic protein purification method based on a light-induced protein interactive system. Currently, the most common protein purification method is based on affinity chromatography, which requires different chromatography columns and harsh conditions, such as acidic pH 4.5 - 6 and/or adding imidazole or high salt concentration, to elute and collect the purified proteins. The change in conditions could influence the activity of target proteins. So, an easy and flexible protein purification method based on the photo-induced protein interactive system iLID was designed, which regulates protein binding with light in mild conditions and does not require a change of solution composition. For expression in E. coli, the blue light-sensitive part of iLID, the LOV2 domain, was fused with a membrane anchor and expressed in the plasma membrane, and the other binding partner, SspB, was fused with the protein of interest (POI), expressed in the cytosol. The plasma membrane fraction and the soluble cytosolic fraction of E. coli can be easily separated by centrifugation. The SspB-POI can be then captured to the membrane fraction by light stimulation and released to clean buffer in the dark after washing. This method does not require any specific column and functions in mild conditions, which are very flexible at scale and will facilitate extensive protein engineering and purification of proteins, sensitive to changed buffer conditions.
Chimeric antigen receptor (CAR)-modified T cells targeting FLT3 in acute myeloid leukemia (AML)
(2021)
Adoptive immunotherapy using chimeric antigen receptor (CAR)-modified T cells targeting CD19 has shown remarkable therapeutic efficacy against B cell leukemia and lymphoma, and provided proof of concept for therapeutic potential in other hematologic malignancies. Acute myeloid leukemia (AML) is an entity with an unmet medical need for effective and curative treatments. Therefore, there is a strong desire for development of potentially curative CAR-T cell immunotherapy for AML treatment.
FMS-like tyrosine kinase 3 (FLT3) is a homodimeric transmembrane protein expressed uniformly by AML blasts. FLT3 plays a vital role in the survival of AML blasts and is a key driver of leukemia-genesis in AML cases with internal tandem duplication (FLT3ITD) and tyrosine kinase domain (TKD) mutations. These attributes suggest that FLT3 could be an excellent target for CAR-T cell immunotherapy. Here, we engineered human CD4+ and CD8+ T cells to express FLT3-specific CARs and demonstrate that they confer potent reactivity against AML cell lines and primary AML blasts that express either wild-type FLT3 or FLT3-ITD. Further, we show that FLT3 CAR-T cells exert potent antileukemia activity in xenograft models of AML and induce complete remissions.
We also demonstrate that FLT3-expression on FLT3-ITD+ AML cells can be augmented by FLT3 inhibitors, which lead to increased recognition by CARs and improved efficacy of FLT3 CAR-T cells. We confirmed this principle with three different FLT3 inhibitors which are at distinct stages of clinical development i.e. Phase II/III clinical trial (crenolanib, quizartinib) and clinically approved (midostaurin). Further, we observed the strongest anti-leukemia activity of FLT3 CAR-T cells in combination with crenolanib in vivo.
FLT3 is known to be expressed by normal hematopoietic stem and progenitor cells. We evaluated FLT3-expression on normal hematopoietic stem cells (HSCs) using flow cytometry and confirmed lower level of FLT3-expression on HSCs and progenitors compared to AML cells. As anticipated, we found that FLT3 CAR-T cells recognize normal HSCs in vitro and in vivo, and compromise normal hematopoiesis, suggesting that adoptive therapy with FLT3 CAR-T cells will require successive CAR-T cell depletion and allogeneic HSC transplantation (HSCT) to reconstitute the hematopoietic system. Moreover, an FLT3 inhibitor treatment does not increase FLT3-expression on HSCs. Accordingly, we demonstrate that the depletion of FLT3 CAR-T cells is possible with inducible Caspase 9 (iCasp9) safety switch.
Collectively, our data establish FLT3 as a novel CAR target in AML with particular relevance in high-risk FLT3-ITD+ AML. Our data demonstrate that FLT3 CAR-T cells act synergistically with FLT3 inhibitors in FLT3-ITD+ AML. i.e. FLT3 inhibitors-induced upregulation of FLT3 in FLT3-ITD+ AML cells enhances their recognition and elimination by FLT3 CAR-T cells. Due to recognition of normal HSCs, the clinical use of FLT3 CART cells is likely restricted to a defined therapeutic window and must be followed by CART cell depletion and allogeneic HSCT for hematopoietic reconstitution. The data provide rational to use FLT3 CAR-T cells in combination with FLT3 inhibitors to augment the anti-leukemia efficacy of FLT3 CAR-T cells in high-risk FLT3-ITD+ AML patients, and to mitigate the risk of relapse with FLT3-negative AML variants, which could otherwise develop under therapeutic pressure. The data provide proof of concept for synergistic use of CAR-T cell immunotherapy and small molecule targeted therapy and encourage the clinical evaluation of this combination treatment in high-risk patients with FLT3-ITD+ AML.
The human pathogen Chlamydia trachomatis is the main cause of sexually transmitted infections worldwide. The obligate intracellular bacteria are the causative agent of several diseases that reach from conjunctivitis causing trachoma and blindness as well as salpingitis and urethritis which can lead to infertility if left untreated.
In order to gain genetically engineered Chlamydia that inducible knock down specific gene expression, the CRISPRi system was established in C. trachomatis. In a proof of principle experiment it was shown that C. trachomatis pCRISPRi:gCdu1III target ChlaDUB1 expression and reduce the protein amount up to 50 %. Knock-down of the DUB did not influence protein levels of anti-apoptotic Mcl-1 and did not make cells susceptible for apoptosis. However, reduced dCas9 protein size, bacterial growth impairment and off target effects interfering with the GFP signal, form obstacles in CRISPRi system in Chlamydia. For routinely use of the CRISPRi method in C. trachomatis further investigation is needed.
Since the bacterial life cycle includes two morphological and functional distinct forms, it is essential for chlamydial spread to complete the development cycle and form infectious progeny. Therefore, Chlamydia has evolved strategies to evade the host immune system in order to stay undetected throughout the developmental cycle. The bacteria prevent host cell apoptosis via stabilization of anti-apoptotic proteins like Mcl-1, Survivin and HIF-1α and activate pro-survival pathways, inhibiting invasion of immune cells to the site of infection. The host cell itself can destroy intruders via cell specific defense systems that involve autophagy and recruitment of professional immune cells. In this thesis the role of the chlamydial deubiuqitinase ChlaDUB1 upon immune evasion was elucidated. With the mutant strain Ctr Tn-cdu1 that encodes for a truncated DUB due to transposon insertion, it was possible to identify ChlaDUB1 as a potent opponent of the autophagic system. Mutant inclusions were targeted by K48 and K63 chain ubiquitination. Subsequently the inclusion was recognized by autophagic receptors like p62, NBR1 and NDP52 that was reversed again by complementation with the active DUB. Xenophagy was promoted so far as LC3 positive phagosomes formed around the inclusion of Ctr Tn-cdu1, which did not fuse with the lysosome. The detected growth defect in human primary cells of Chlamydia missing the active DUB was not traced back to autophagy, but was due to impaired development and replication. It was possible to identify Ankib1, the E3 ligase, that ubiquitinates the chlamydial inclusion in a siRNA based screen. The activating enzyme Ube1 and the conjugating enzyme Ube2L3 are also essential in this process. Chlamydia have a reduced genome and depend on lipids and nutrients that are translocated from the host cell to the inclusion to proliferate. Recruitment of fragmented Golgi stacks to the inclusion surface was prevented when ChlaDUB1 was inactive, probably causing diminished bacterial growth. Additionally, the modification of the inclusion by Ankib1 and subsequent decoration by autophagic markers was not only present in human but also murine cells. Comparison of other Chlamydia strains and species revealed Ankib1 to be located at the proximity of the inclusion in C. trachomatis strains only but not in C. muridarum or C. pneumoniae, indicating that Ankib1 is specifically the E3 ligase of C. trachomatis. Moreover, the role of ChlaDUB1 in infected tissue was of interest, since ChlaDUB1 protein was also found in early EB stage and so might get in contact with invading immune cells after cell lysis. While bacteria spread and infect new host cells, Chlamydia can also infect immune cells. Infection of human neutrophils with Ctr Tn-cdu1 shows less bacterial survival and affirms the importance of the DUB for bacterial fitness in these cells.
The SNR spectra model and measurement method developed in this work yield reliable application-specific optima for image quality. This optimization can either be used to understand image quality, find out how to build a good imaging device or to (automatically) optimize the parameters of an existing setup.
SNR spectra are here defined as a fraction of power spectra instead of a product of device properties. In combination with the newly developed measurement method for this definition, a close correspondence be- tween theory and measurement is achieved. Prior approaches suffer from a focus on theoretical definitions without fully considering if the defined quantities can be measured correctly. Additionally, discrepancies between assumptions and reality are common.
The new approach is more reliable and complete, but also more difficult to evaluate and interpret. The signal power spectrum in the numerator of this fraction allows to model the image quality of different contrast mechanisms that are used in high-resolution x-ray imaging. Superposition equations derived for signal and noise enable understanding how polychromaticity (or superposition in general) affects the image quality.
For the concept of detection energy weighting, a quantitative model for how it affects im- age quality was found. It was shown that—depending on sample properties—not detecting x-ray photons can increase image quality. For optimal computational energy weighting, more general formula for the optimal weight was found. In addition to the signal strength, it includes noise and modulation transfer.
The novel method for measuring SNR spectra makes it possible to experimentally optimize image quality for different contrast mechanisms. This method uses one simple measurement to obtain a measure for im- age quality for a specific experimental setup. Comparable measurement methods typically require at least three more complex measurements, where the combination may then give a false result. SNR spectra measurements can be used to:
• Test theoretical predictions about image quality optima.
• Optimize image quality for a specific application.
• Find new mechanisms to improve image quality.
The last item reveals an important limitation of x- ray imaging in general: The achievable image quality is limited by the amount of x-ray photons interacting with the sample, not by the amount incident per detector area (see section 3.6). If the rest of the imaging geometry is fixed, moving the detector only changes the field of view, not the image quality. A practical consequence is that moving the sample closer to the x-ray source increases image quality quadratically.
The results of a SNR spectra measurement represent the image quality only on a relative scale, but very reliable. This relative scale is sufficient for an optimization problem. Physical effects are often already clearly identifiable by the shape of the functional relationship between input parameter and measurement result.
SNR spectra as a quantity are not well suited for standardization, but instead allow a reliable optimization. Not satisfying the requirements of standardization allows to use methods which have other advantages. In this case, the SNR spectra method describes the image quality for a specific application. Consequently, additional physical effects can be taken into account. Additionally, the measurement method can be used to automate the setting of optimal machine parameters.
The newly proposed image quality measure detection effectiveness is better suited for standardization or setup comparison. This quantity is very similar to measures from other publications (e.g. CNR(u)), when interpreted monochromatically. Polychromatic effects can only be modeled fully by the DE(u). The measurement processes of both are different and the DE(u) is fundamentally more reliable.
Information technology and digital data processing make it possible to determine SNR spectra from a mea- sured image series. This measurement process was designed from the ground up to use these technical capabilities. Often, information technology is only used to make processes easier and more exact. Here, the whole measurement method would be infeasible without it. As this example shows, using the capabilities of digital data processing much more extensively opens many new possibilities. Information technology can be used to extract information from measured data in ways that analog data processing simply cannot.
The original purpose of the SNR spectra optimization theory and methods was to optimize high resolution x-ray imaging only. During the course of this work, it has become clear that some of the results of this work affect x-ray imaging in general. In the future, these results could be applied to MI and NDT x-ray imaging. Future work on the same topic will also need to consider the relationship between SNR spectra or DE(u) and sufficient image quality.This question is about the minimal image quality required for a specific measurement task.
Acute graft-versus-host disease (aGvHD) is a severe and often life-threatening complication of allogeneic hematopoietic cell transplantation (allo-HCT). AGvHD is mediated by alloreactive donor T-cells targeting predominantly the gastrointestinal tract, liver, and skin. Recent work in mice and patients undergoing allo-HCT showed that alloreactive T-cells can be identified by the expression of α4β7 integrin on T-cells even before manifestation of an aGvHD. Here, we investigated whether the detection of a combination of the expression of T-cell surface markers on peripheral blood (PB) CD8\(^+\) T-cells would improve the ability to predict aGvHD. To this end, we employed two independent preclinical models of minor histocompatibility antigen mismatched allo-HCT following myeloablative conditioning. Expression profiles of integrins, selectins, chemokine receptors, and activation markers of PB donor T-cells were measured with multiparameter flow cytometry at multiple time points before the onset of clinical aGvHD symptoms. In both allo-HCT models, we demonstrated a significant upregulation of α4β7 integrin, CD162E, CD162P, and conversely, a downregulation of CD62L on donor T-cells, which could be correlated with the development of aGvHD. Other surface markers, such as CD25, CD69, and CC-chemokine receptors were not found to be predictive markers. Based on these preclinical data from mouse models, we propose a surface marker panel on peripheral blood T-cells after allo-HCT combining α4β7 integrin with CD62L, CD162E, and CD162P (cutaneous lymphocyte antigens, CLA, in humans) to identify patients at risk for developing aGvHD early after allo-HCT.
The integrity of its DNA is fundamental for every living cell. However, DNA is constantly threatened by exogenous and endogenous damaging agents that can cause a variety of different DNA lesions. The severe consequences of an accumulation of DNA lesions are reflected in cancerogenesis and aging. Several DNA repair mechanisms ensure the repair of DNA lesions and thus maintain DNA integrity. One of these DNA repair mechanisms is nucleotide excision repair (NER), which is famous for its ability to address a large variety of structurally unrelated DNA lesions. A key component of eukaryotic NER is the transcription factor II H (TFIIH) complex, which is not only essential for DNA repair but also for transcription. The TFIIH complex is composed of ten subunits. How these subunits work together during NER to unwind the DNA around the lesion is, however, not yet fully understood. High-resolution structural data and biochemical insights into the function of every subunit are thus indispensable to understand the functional networks within TFIIH. The importance of an intact TFIIH complex is reflected in the severe consequences of patient mutations in the TFIIH subunits XPB, XPD or p8 leading to the hallmark diseases xeroderma pigmentosum, Cockayne syndrome and trichothiodystrophy. Defects in the NER pathway are further associated with several types of cancer including skin cancer.
The herein described work focused on five TFIIH subunits derived from the thermophilic fungus Chaetomium thermophilum, the p34/p44 pair and the ternary XPB/p52/p8 complex. The interaction between p34 and p44 was characterized based on a high-resolution structure of the p34_vWA/p44_RING minimal complex. Biochemical studies of the p34/p44 interaction led to the disclosure of an additional interaction between the p34 and p44 subunits, which had not been characterized so far. The p34/p44 interaction was shown to be central to TFIIH, which justifies the presence of several redundant interfaces to safeguard the interaction between the two proteins and might explain why so far, no patient mutations in these subunits have been identified. The p52 subunit of TFIIH was known to be crucial to stimulate the ATPase activity of XPB, which is required during NER. This work presents the first entire atomic resolution structural characterization of p52, which was derived of several crystal structures of p52 variants and a p52/p8 variant thereby demonstrating the interaction between p52 and p8. The precise structural model of p52 offered the possibility to investigate interactions with other TFIIH subunits in more detail. The middle domain 2 of p52 and the N-terminal domain of XPB were shown to mediate the main interaction between the two subunits. An analysis of the p52 crystal structures within recently published cryo-electron microscopy structures of TFIIH provides a model of how p52 and p8 stimulate the ATPase activity of XPB, which is essential for NER and transcription. The structural and biochemical findings of this work provide an additional building block towards the uncovering of the architecture and function of this essential transcription factor.
The Princes’ War in South Germany (1458-1463) was the biggest military collision in the German lands in the middle of the fifteenth century. The most prominent princes of southern Germany participated in this struggle.
Due to its significant scope, this conflict provides a valuable case study for achieving a better understanding of the conditions at the heart of the Holy Roman Empire at the sunset of the Middle Ages. The purpose of this study was to fill an existing gap in the modern research literature and provide a comprehensive up-to date monograph on the subject.
The study was realized mainly on the basis of archival work and primary sources. Thousands of letters and documents exchanged between the princes, their advisors and the city representatives were carefully studied and analysed. Extensive use of printed sources as well as scientific literature also greatly facilitated this research.
The first part of the dissertation provides a detailed description of the war itself and the events that led to it. In the initial phase of the struggle, Albrecht Achilles used his position as the imperial captain to advance his own interests. His actions enraged both Duke Ludwig and Elector Friedrich and made the war unavoidable. For more than two years two major coalitions of princes exchanged blows but as the dust settled the status quo ante bellum was restored in the eastern theatre of actions, while at the western front Elector Friedrich forced each of his opponents to make serious concessions.
The second part of the dissertation is devoted to honor and reputation. It explores how these two constituents affected the actions and decision-making of the princes. The lack of a powerful arbiter allowed each of the princes to interpret the meaning of “right” and “justice” as most suited him, although they hardly intentionally misused these terms. Thus, more often than not, the important actors seemed to believe in the appropriateness of their deeds. Nevertheless, despite frequent emotional response, in the competition between emotions and cold calculation the latter usually prevailed.
The conflict showed the confines of each of its major participants and the modus operandi of the Empire that prevented change and was tuned to keep the old order of things.
In the present thesis we investigate algebraic and arithmetic properties of graph spectra. In particular, we study the algebraic degree of a graph, that is the dimension of the splitting field of the characteristic polynomial of the associated adjacency matrix over the rationals, and examine the question whether there is a relation between the algebraic degree of a graph and its structural properties. This generalizes the yet open question ``Which graphs have integral spectra?'' stated by Harary and Schwenk in 1974.
We provide an overview of graph products since they are useful to study graph spectra and, in particular, to construct families of integral graphs. Moreover, we present a relation between the diameter, the maximum vertex degree and the algebraic degree of a graph, and construct a potential family of graphs of maximum algebraic degree.
Furthermore, we determine precisely the algebraic degree of circulant graphs and find new criteria for isospectrality of circulant graphs. Moreover, we solve the inverse Galois problem for circulant graphs showing that every finite abelian extension of the rationals is the splitting field of some circulant graph. Those results generalize a theorem of So who characterized all integral circulant graphs. For our proofs we exploit the theory of Schur rings which was already used in order to solve the isomorphism problem for circulant graphs.
Besides that, we study spectra of zero-divisor graphs over finite commutative rings.
Given a ring \(R\), the zero-divisor graph over \(R\) is defined as the graph with vertex set being the set of non-zero zero-divisors of \(R\) where two vertices \(x,y\) are adjacent if and only if \(xy=0\). We investigate relations between the eigenvalues of a zero-divisor graph, its structural properties and the algebraic properties of the respective ring.
ERK1/2 are known key players in the pathophysiology of heart failure, but the members of the ERK cascade, in particular Raf1, can also protect the heart from cell death and ischemic injury. An additional autophosphorylation (ERK1 at Thr208, ERK2 at Thr188) empowers ERK1/2 translocation to the nucleus and phosphorylation of nuclear targets which take part in the development of cardiac hypertrophy. Thereby, targeting this additional phosphorylation is a promising pharmacological approach.
In this thesis, an in silico model of ERK cascade in the cardiomyocyte is introduced. The model is a semi-quantitive model and its behavior was tested with different softwares (SQUAD and CellNetAnalyzer). Different phosphorylation states of ERK1/2 as well as different stimuli can be reproduced. The different types of stimuli include hypertrophic as well as non-hypertrophic stimuli. With the introduced in-silico model time courses and synergistic as well as antagonistic receptor stimuli combinations can be predicted. The simulated time courses were experimentally validated. SQUAD was mainly used to make predictions about time courses and thresholds, whereas CNA was used to analyze steady states and feedback loops.
Furthermore, new targets of ERK1/2 which partially contribute, also in the formation of cardiac hypertrophy, were identified and the most promising of them were illuminated. Important further targets are Caspase 8, GAB2, Mxi-2, SMAD2, FHL2 and SPIN90.
Cardiomyocyte gene expression data sets were analyzed to verify involved components and to find further significantly altered genes after induced hypertrophy with TAC (transverse aortic constriction). Changes in the ultrastructure of the cardiomyocyte are the final result of induced hypertrophy.
Within this PhD thesis, chromophore-bridged biradicals were synthesised and their properties characterised. Therefore, it was necessary to develop novel synthetic procedures and implement several experimental characterisation methods. In summary, within this thesis the scope of pigment chromophore phenoxyl radical decoration was further explored and expanded to IIn as well as DPP colourants. HOMA analysis highlighted the importance of aromaticity in order to understand the spin crossover from heteroaromatic quinoidal to aromatic open shell DPPs. Finally, PBI, IIn and DPP biradicals were advanced towards stable materials by introduction of nitronyl nitroxide radical centres.
Data as the new driver for growth? European and Chinese perspectives on the new factor of production
(2021)
Amidst an emerging international systemic competition between China and the Western world, China’s sustained high economic growth rates, technological innovations and successful control of the corona pandemic have raised doubts over the West’s systemic capabilities. In this context, data resources and regimes play an increasing role.
This research note looks at data as present and future driver of innovation and economic growth in more detail. It compares the Chinese and the European perspective on data as well as their respective (planned) policy measures in order to draw tentative conclusions about their different approaches' implications.
With the exception of a few signaling incompetent decoy receptors, the receptors of the tumor necrosis factor receptor superfamily (TNFRSF) are signaling competent and engage in signaling pathways resulting in inflammation, proliferation, differentiation, and cell migration and also in cell death induction. TNFRSF receptors (TNFRs) become activated by ligands of the TNF superfamily (TNFSF). TNFSF ligands (TNFLs) occur as trimeric type II transmembrane proteins but often also as soluble ligand trimers released from the membrane-bound form by proteolysis. The signaling competent TNFRs are efficiently activated by the membrane-bound TNFLs. The latter recruit three TNFR molecules, but there is growing evidence that this is not sufficient to trigger all aspects of TNFR signaling; rather, the formed trimeric TNFL–TNFR complexes have to cluster secondarily in the cell-to-cell contact zone for full TNFR activation. With respect to their response to soluble ligand trimers, the signaling competent TNFRs can be subdivided into two groups. TNFRs of one group, designated as category I TNFRs, are robustly activated by soluble ligand trimers. The receptors of a second group (category II TNFRs), however, failed to become properly activated by soluble ligand trimers despite high affinity binding. The limited responsiveness of category II TNFRs to soluble TNFLs can be overcome by physical linkage of two or more soluble ligand trimers or, alternatively, by anchoring the soluble ligand molecules to the cell surface or extracellular matrix. This suggests that category II TNFRs have a limited ability to promote clustering of trimeric TNFL–TNFR complexes outside the context of cell–cell contacts. In this review, we will focus on three aspects on the relevance of receptor oligomerization for TNFR signaling: (i) the structural factors which promote clustering of free and liganded TNFRs, (ii) the signaling pathway specificity of the receptor oligomerization requirement, and (iii) the consequences for the design and development of TNFR agonists.
The human pathogen Bordetella pertussis targets the respiratory epithelium and causes whooping cough. Its virulence factor adenylate cyclase toxin (CyaA) plays an important role in the course of infection. Previous studies on the impact of CyaA on human epithelial cells have been carried out using cell lines derived from the airways or the intestinal tract. Here, we investigated the interaction of CyaA and its enzymatically inactive but fully pore-forming toxoid CyaA-AC– with primary human airway epithelial cells (hAEC) derived from different anatomical sites (nose and tracheo-bronchial region) in two-dimensional culture conditions. To assess possible differences between the response of primary hAEC and respiratory cell lines directly, we included HBEC3-KT in our studies. In comparative analyses, we studied the impact of both the toxin and the toxoid on cell viability, intracellular cAMP concentration and IL-6 secretion. We found that the selected hAEC, which lack CD11b, were differentially susceptible to both CyaA and CyaA-AC–. HBEC3-KT appeared not to be suitable for subsequent analyses. Since the nasal epithelium first gets in contact with airborne pathogens, we further studied the effect of CyaA and its toxoid on the innate immunity of three-dimensional tissue models of the human nasal mucosa. The present study reveals first insights in toxin–cell interaction using primary hAEC.
Bark beetles (sensu lato) colonize woody tissues like phloem or xylem and are associated with a broad range of micro-organisms. Specific fungi in the ascomycete orders Hypocreales, Microascales and Ophistomatales as well as the basidiomycete Russulales have been found to be of high importance for successful tree colonization and reproduction in many species. While fungal mutualisms are facultative for most phloem-colonizing bark beetles (sensu stricto), xylem-colonizing ambrosia beetles are long known to obligatorily depend on mutualistic fungi for nutrition of adults and larvae. Recently, a defensive role of fungal mutualists for their ambrosia beetle hosts was revealed: Few tested mutualists outcompeted other beetle-antagonistic fungi by their ability to produce, detoxify and metabolize ethanol, which is naturally occurring in stressed and/or dying trees that many ambrosia beetle species preferentially colonize. Here, we aim to test (i) how widespread beneficial effects of ethanol are among the independently evolved lineages of ambrosia beetle fungal mutualists and (ii) whether it is also present in common fungal symbionts of two bark beetle species (Ips typographus, Dendroctonus ponderosae) and some general fungal antagonists of bark and ambrosia beetle species. The majority of mutualistic ambrosia beetle fungi tested benefited (or at least were not harmed) by the presence of ethanol in terms of growth parameters (e.g., biomass), whereas fungal antagonists were inhibited. This confirms the competitive advantage of nutritional mutualists in the beetle’s preferred, ethanol-containing host material. Even though most bark beetle fungi are found in the same phylogenetic lineages and ancestral to the ambrosia beetle (sensu stricto) fungi, most of them were highly negatively affected by ethanol and only a nutritional mutualist of Dendroctonus ponderosae benefited, however. This suggests that ethanol tolerance is a derived trait in nutritional fungal mutualists, particularly in ambrosia beetles that show cooperative farming of their fungi.
Myeloid-derived suppressor cells (MDSCs) represent a major population controlling T cell immune responses. However, little is known about their molecular requirements for homing and T cell interaction to mediate suppression. Here, we investigated the functional role of the homing and collagen IV receptor VLA-1 (α1β1-integrin) on in vitro GM-CSF generated murine MDSCs from wild-type (WT) and CD49a/α1-integrin (Itga1\(^{−/−}\)) gene-deficient mice. Here, we found that effector (Teff) but not naive (Tn) CD4\(^+\) T cells express VLA-1 and monocytes further up-regulated their expression after culture in GM-CSF when they differentiated into the monocytic subset of resting MDSCs (R-MDSCs). Subsequent activation of R-MDSCs by LPS+IFN-γ (A-MDSCs) showed increased in vitro suppressor potential, which was independent of VLA-1. Surprisingly, VLA-1 deficiency did not influence A-MDSC motility or migration on collagen IV in vitro. However, interaction times of Itga1\(^{−/−}\) A-MDSCs with Teff were shorter than with WT A-MDSCs on collagen IV but not on fibronectin substrate in vitro. After injection, A-MDSCs homed to the splenic red pulp where they co-localized with Teff and showed immediate suppression already after 6 h as shown by inhibition of T cell proliferation and induction of apoptosis. Injection of A-MDSCs from Itga1\(^{−/−}\) mice showed equivalent homing into the spleen but a reduced suppressive effect. Interaction studies of A-MDSCs with Teff in the subcapsular red pulp with intravital two-photon microscopy revealed also here that MDSC motility and migration parameters were not altered by VLA-1 deficiency, but the interaction times with Teff were reduced. Together, our data point to a new role of VLA-1 adhesion to collagen IV as a prerequisite for extended contact times with Teff required for suppression.
Sex determination (SD) is a highly diverse and complex mechanism. In vertebrates, one of the first morphological differences between the sexes is the timing of initiation of the first meiosis, where its initiation occurs first in female and later in male. Thus, SD is intimately related to the responsiveness of the germ cells to undergo meiosis in a sex-specific manner. In some vertebrates, it has been reported that the timing for meiosis entry would be under control of retinoic acid (RA), through activation of Stra8. In this study, we used a fish model species for sex determination and lacking the stra8 gene, the Japanese medaka (Oryzias latipes), to investigate the connection between RA and the sex determination pathway. Exogenous RA treatments act as a stress factor inhibiting germ cell differentiation probably by activation of dmrt1a and amh. Disruption of the RA degrading enzyme gene cyp26a1 induced precocious meiosis and oogenesis in embryos/hatchlings of female and even some males. Transcriptome analyzes of cyp26a1–/–adult gonads revealed upregulation of genes related to germ cell differentiation and meiosis, in both ovaries and testes. Our findings show that germ cells respond to RA in a stra8 independent model species. The responsiveness to RA is conferred by sex-related genes, restricting its action to the sex differentiation period in both sexes.
Activity of Tracheal Cytotoxin of Bordetella pertussis in a Human Tracheobronchial 3D Tissue Model
(2021)
Bordetella pertussis is a highly contagious pathogen which causes whooping cough in humans. A major pathophysiology of infection is the extrusion of ciliated cells and subsequent disruption of the respiratory mucosa. Tracheal cytotoxin (TCT) is the only virulence factor produced by B. pertussis that has been able to recapitulate this pathology in animal models. This pathophysiology is well characterized in a hamster tracheal model, but human data are lacking due to scarcity of donor material. We assessed the impact of TCT and lipopolysaccharide (LPS) on the functional integrity of the human airway mucosa by using in vitro airway mucosa models developed by co-culturing human tracheobronchial epithelial cells and human tracheobronchial fibroblasts on porcine small intestinal submucosa scaffold under airlift conditions. TCT and LPS either alone and in combination induced blebbing and necrosis of the ciliated epithelia. TCT and LPS induced loss of ciliated epithelial cells and hyper-mucus production which interfered with mucociliary clearance. In addition, the toxins had a disruptive effect on the tight junction organization, significantly reduced transepithelial electrical resistance and increased FITC-Dextran permeability after toxin incubation. In summary, the results indicate that TCT collaborates with LPS to induce the disruption of the human airway mucosa as reported for the hamster tracheal model.
The incidence of musculoskeletal diseases is steadily increasing with aging of the population. In the past years, extracellular vesicles (EVs) have gained attention in musculoskeletal research. EVs have been associated with various musculoskeletal pathologies as well as suggested as treatment option. EVs play a pivotal role in communication between cells and their environment. Thereby, the EV cargo is highly dependent on their cellular origin. In this review, we summarize putative mechanisms by which EVs can contribute to musculoskeletal tissue homeostasis, regeneration and disease, in particular matrix remodeling and mineralization, pro-angiogenic effects and immunomodulatory activities. Mesenchymal stromal cells (MSCs) present the most frequently used cell source for EV generation for musculoskeletal applications, and herein we discuss how the MSC phenotype can influence the cargo and thus the regenerative potential of EVs. Induced pluripotent stem cell-derived mesenchymal progenitor cells (iMPs) may overcome current limitations of MSCs, and iMP-derived EVs are discussed as an alternative strategy. In the last part of the article, we focus on therapeutic applications of EVs and discuss both practical considerations for EV production and the current state of EV-based therapies.
Background
Combination therapies of anorectic gut hormones partially mimic the beneficial effects of bariatric surgery. Thus far, the effects of a combined chronic systemic administration of Glucagon-like peptide-1 (GLP-1) and peptide tyrosine tyrosine 3-36 (PYY\(_{3-36}\)) have not been directly compared to Roux-en-Y gastric bypass (RYGB) in a standardized experimental setting.
Methods
High-fat diet (HFD)-induced obese male Wistar rats were randomized into six treatment groups: (1) RYGB, (2) sham-operation (shams), (3) liraglutide, (4) PYY\(_{3-36}\), (5) PYY\(_{3-36}\)+liraglutide (6), saline. Animals were kept on a free choice high- and low-fat diet. Food intake, preference, and body weight were measured daily for 4 weeks. Open field (OP) and elevated plus maze (EPM) tests were performed.
Results
RYGB reduced food intake and achieved sustained weight loss. Combined PYY\(_{3-36}\)+liraglutide treatment led to similar and plateaued weight loss compared to RYGB. Combined PYY\(_{3-36}\)+liraglutide treatment was superior to PYY\(_{3-36}\) (p ≤ 0.0001) and liraglutide (p ≤ 0.05 or p ≤ 0.01) mono-therapy. PYY\(_{3-36}\)+liraglutide treatment and RYGB also reduced overall food intake and (less pronounced) high-fat preference compared to controls. The animals showed no signs of abnormal behavior in OF or EPM.
Conclusions
Liraglutide and PYY\(_{3-36}\) combination therapy vastly mimics reduced food intake, food choice and weight reducing benefits of RYGB.
Within the lipidome oxidized phospholipids (OxPL) form a class of chemically highly reactive metabolites. OxPL are acutely produced in inflamed tissue and act as endogenous, proalgesic (pain-inducing) metabolites. They excite sensory, nociceptive neurons by activating transient receptor potential ion channels, specifically TRPA1 and TRPV1. Under inflammatory conditions, OxPL-mediated receptor potentials even potentiate the action potential firing rate of nociceptors. Targeting OxPL with D-4F, an apolipoprotein A-I mimetic peptide or antibodies like E06, specifically binding oxidized headgroups of phospholipids, can be used to control acute, inflammatory pain syndromes, at least in rodents. With a focus on proalgesic specificities of OxPL, this article discusses, how targeting defined substances of the epilipidome can contribute to mechanism-based therapies against primary and secondary chronic inflammatory or possibly also neuropathic pain.
We explore a cosmology where the Big Bang singularity is replaced by a condensation event of interacting strings. We study the transition from an uncontrolled, chaotic soup (“before”) to a clearly interacting “real world”. Cosmological inflation scenarios do not fit current observations and are avoided. Instead, long-range interactions inside this crystallization event limit growth and crystal symmetries ensure the same laws of nature and basic symmetries over our domain. Tiny mis-arrangements present nuclei of superclusters and galaxies and crystal structure leads to the arrangement of dark (halo regions) and normal matter (galaxy nuclei) so convenient for galaxy formation. Crystals come and go, allowing an evolutionary cosmology where entropic forces from the quantum soup “outside” of the crystal try to dissolve it. These would correspond to dark energy and leads to a big rip scenario in 70 Gy. Preference of crystals with optimal growth and most condensation nuclei for the next generation of crystals may select for multiple self-organizing processes within the crystal, explaining “fine-tuning” of the local “laws of nature” (the symmetry relations formed within the crystal, its “unit cell”) to be particular favorable for self-organizing processes including life or even conscious observers in our universe.
Independent of cosmology, a crystallization event may explain quantum-decoherence in general: The fact, that in our macroscopic everyday world we only see one reality. This contrasts strongly with the quantum world where you have coherence, a superposition of all quantum states. We suggest that a “real world” (so our everyday macroscopic world) happens only in our domain, i.e. inside a crystal. “Outside” of our domain and our observable universe there is the quantum soup of boiling quantum foam and superposition of all possibilities. In our crystallized world the vacuum no longer boils but is cooled down by the crystallization event and hence is 10**20 smaller, exactly as observed in our everyday world. As we live in a “solid” state, within a crystal, the different quanta which build our world have all their different states nicely separated. This theory postulates there are only n quanta and m states available for them (there is no Everett-like ever splitting multiverse after each decision). In the solid state we live in, there is decoherence, the states are nicely separated. The arrow of entropy for each edge of the crystal forms one fate, one worldline or clear development of a world, while the layers of the crystal are different system states.
Some mathematical leads from loop quantum gravity point to required interactions and potentials. A complete mathematical treatment of this unified theory is far too demanding currently. Interaction potentials for strings or membranes of any dimension allow a solid state of quanta, so allowing decoherence in our observed world are challenging to calculate. However, if we introduce here the heuristic that any type of physical interaction of strings corresponds just to a type of calculation, there is already since 1898 the Hurwitz theorem showing that then only 1D, 2D, 4D and 8D (octonions) allow complex or hypercomplex number calculations. No other hypercomplex numbers and hence dimensions or symmetries are possible to allow calculations without yielding divisions by zero. However, the richest solution allowed by the Hurwitz theorem, octonions, is actually the observed symmetry of our universe, E8.
Objective: Substantia nigra hyperechogenicity is found in children with attention- deficit hyperactivity disorder (ADHD). Research with transcranial sonography (TCS) in adults suggests that echogenic alterations are linked to subclinical behavioral deficits and that brain iron homeostasis is involved in the signal genesis. The purpose of this study was to explore substantia nigra echogenicity in healthy children, to assess age-related changes and to investigate whether echogenic signals relate to subclinical alterations in behavior. Furthermore, associations of central nigral neuromelanin measures and peripheral serum iron parameters to echogenic signals of the substantia nigra were evaluated. Methods: In a multimodal study design, neuroimaging of the substantia nigra was conducted with TCS and neuromelanin-sensitive magnetic resonance imaging (MRI) in 28 healthy children (8 − 12 years). Correlations and multiple regression analyses determined associations between the neuroimaging methods, behavioral data from Strength and Difficulties Questionnaire (SDQ) and serum iron-related parameters. Results: Substantia nigra echogenicity correlated inversely with hyperactivity ratings in healthy, non-ADHD children (r = −.602, p = .001). Echogenic sizes did not change as a function of age. Neuromelanin-sensitive MRI measures of the substantia nigra and peripheral serum iron parameters were not associated with nigral TCS signals. Conclusion: In healthy children behavioral differences in hyperactive tendencies are associated with differences in substantia nigra echogenicity. This could help to identify those children who are at risk of subclinical ADHD.
Manifestations of aggressive driving, such as tailgating, speeding, or swearing, are not trivial offenses but are serious problems with hazardous consequences—for the offender as well as the target of aggression. Aggression on the road erases the joy of driving, affects heart health, causes traffic jams, and increases the risk of traffic accidents. This work is aimed at developing a technology-driven solution to mitigate aggressive driving according to the principles of Persuasive Technology. Persuasive Technology is a scientific field dealing with computerized software or information systems that are designed to reinforce, change, or shape attitudes, behaviors, or both without using coercion or deception.
Against this background, the Driving Feedback Avatar (DFA) was developed through this work. The system is a visual in-car interface that provides the driver with feedback on aggressive driving. The main element is an abstract avatar displayed in the vehicle. The feedback is transmitted through the emotional state of this avatar, i.e., if the driver behaves aggressively, the avatar becomes increasingly angry (negative feedback). If no aggressive action occurs, the avatar is more relaxed (positive feedback). In addition, directly after an aggressive action is recognized by the system, the display is flashing briefly to give the driver an instant feedback on his action.
Five empirical studies were carried out as part of the human-centered design process of the DFA. They were aimed at understanding the user and the use context of the future system, ideating system ideas, and evaluating a system prototype. The initial research question was about the triggers of aggressive driving. In a driver study on a public road, 34 participants reported their emotions and their triggers while they were driving (study 1). The second research question asked for interventions to cope with aggression in everyday life. For this purpose, 15 experts dealing with the treatment of aggressive individuals were interviewed (study 2). In total, 75 triggers of aggressive driving and 34 anti-aggression interventions were identified. Inspired by these findings, 108 participants generated more than 100 ideas of how to mitigate aggressive driving using technology in a series of ideation workshops (study 3). Based on these ideas, the concept of the DFA was elaborated on. In an online survey, the concept was evaluated by 1,047 German respondents to get a first assessment of its perception (study 4). Later on, the DFA was implemented into a prototype and evaluated in an experimental driving study with 32 participants, focusing on the system’s effectiveness (study 5). The DFA had only weak and, in part, unexpected effects on aggressive driving that require a deeper discussion.
With the DFA, this work has shown that there is room to change aggressive driving through Persuasive Technology. However, this is a very sensitive issue with special requirements regarding the design of avatar-based feedback systems in the context of aggressive driving. Moreover, this work makes a significant contribution through the number of empirical insights gained on the problem of aggressive driving and wants to encourage future research and design activities in this regard.
The development of cellular life on earth is coupled to the formation of lipid-based biological membranes. Although many tools to analyze their biophysical properties already exist, their variety and number is still relatively small compared to the field of protein studies. One reason for this, is their small size and complex assembly into an asymmetric tightly packed lipid bilayer showing characteristics of a two-dimensional heterogenous fluid. Since membranes are capable to form dynamic, nanoscopic domains, enriched in sphingolipids and cholesterol, their detailed investigation is limited to techniques which access information below the diffraction limit of light. In this work, I aimed to extend, optimize and compare three different labeling approaches for sphingolipids and their subsequent analysis by the single-molecule localization microscopy (SMLM) technique direct stochastic optical reconstruction microscopy (dSTORM). First, I applied classical immunofluorescence by immunoglobulin G (IgG) antibody labeling to detect and quantify sphingolipid nanodomains in the plasma membrane of eukaryotic cells. I was able to identify and characterize ceramide-rich platforms (CRPs) with a size of ~ 75nm on the basal and apical membrane of different cell lines. Next, I used click-chemistry to characterize sphingolipid analogs in living and fixed cells. By using a combination of fluorescence microscopy and anisotropy experiments, I analyzed their accessibility and configuration in the plasma membrane, respectively. Azide-modified, short fatty acid side chains, were accessible to membrane impermeable dyes and localized outside the hydrophobic membrane core. In contrast, azide moieties at the end of longer fatty acid side chains were less accessible and conjugated dyes localized deeper within the plasma membrane. By introducing photo-crosslinkable diazirine groups or chemically addressable amine groups, I developed methods to improve their immobilization required for dSTORM. Finally, I harnessed the specific binding characteristics of non-toxic shiga toxin B subunits (STxBs) and cholera toxin B subunits (CTxBs) to label and quantify glycosphingolipid nanodomains in the context of Neisseria meningitidis infection. Under pyhsiological conditions, these glycosphingolipids were distributed homogenously in the plasma membrane but upon bacterial infection CTxB detectable gangliosides accumulated around invasive Neisseria meningitidis. I was able to highlight the importance of cell cycle dependent glycosphingolipid expression for the invasion process. Blocking membrane accessible sugar headgroups by pretreatment with CTxB significantly reduced the number of invasive bacteria which confirmed the importance of gangliosides for bacterial uptake into cells. Based on my results, it can be concluded that labeling of sphingolipids should be carefully optimized depending on the research question and applied microscopy technique. In particular, I was able to develop new tools and protocols which enable the characterization of sphingolipid nanodomains by dSTORM for all three labeling approaches.
In this work, a toolbox was provided to create three-component polymer conjugates with a defined architecture, designed to bear different biocomponents that can interact with larger biological systems in biomacromolecular recognition experiments. The target architecture is the attachment of two biomolecule ‘arms’ to the alpha telechelic end point of a polymer and fixating the conjugate to the gold surface of SAW and SPR sensor chips with the polymer’s other omega chain end. This specific design of a conjugate will be implemented by using a strategy to yield novel double alpha as well as omega telechelic functionalized POx and the success of all cascade reaction steps leading to the final conjugation product will be proven through affinity measurements between covalently bound mannose and ConA. All reactions were performed on a low molecular model level first and then transferred to telechelic and also side chain functionalized polymer systems.
Touch sensation is the ability to perceive mechanical cues which is required for essential behaviors. These encompass the avoidance of tissue damage, environmental perception, and social interaction but also proprioception and hearing. Therefore research on receptors that convert mechanical stimuli into electrical signals in sensory neurons remains a topical research focus. However, the underlying molecular mechanisms for mechano-metabotropic signal transduction are largely unknown, despite the vital role of mechanosensation in all corners of physiology.
Being a large family with over 30 mammalian members, adhesion-type G protein-coupled receptors (aGPCRs) operate in a vast range of physiological processes. Correspondingly, diverse human diseases, such as developmental disorders, defects of the nervous system, allergies and cancer are associated with these receptor family. Several aGPCRs have recently been linked to mechanosensitive functions suggesting, that processing of mechanical stimuli may be a common feature of this receptor family – not only in classical mechanosensory structures.
This project employed Drosophila melanogaster as the candidate to analyze the aGPCR Latrophilin/dCIRL function in mechanical nociception in vivo. To this end, we focused on larval sensory neurons and investigated molecular mechanisms of dCIRL activity using noxious mechanical stimuli in combination with optogenetic tools to manipulate second messenger pathways. In addition, we made use of a neuropathy model to test for an involvement of aGPCR signaling in the malfunctioning peripheral nervous system. To do so, this study investigated and characterized nocifensive behavior in dCirl null mutants (dCirlKO) and employed genetically targeted RNA-interference (RNAi) to cell-specifically manipulate nociceptive function.
The results revealed that dCirl is transcribed in type II class IV peripheral sensory neurons – a cell type that is structurally similar to mammalian nociceptors and detects different nociceptive sensory modalities. Furthermore, dCirlKO larvae showed increased nocifensive behavior which can be rescued in cell specific reexpression experiments. Expression of bPAC (bacterial photoactivatable adenylate cyclase) in these nociceptive neurons enabled us to investigate an intracellular signaling cascade of dCIRL function provoked by light-induced elevation of cAMP. Here, the findings demonstrated that dCIRL operates as a down-regulator of nocifensive behavior by modulating nociceptive neurons. Given the clinical relevance of this results, dCirl function was tested in a chemically induced neuropathy model where it was shown that cell specific overexpression of dCirl rescued nocifensive behavior but not nociceptor morphology.
A Calix[4]arene‐Based Cyclic Dinuclear Ruthenium Complex for Light‐Driven Catalytic Water Oxidation
(2021)
A cyclic dinuclear ruthenium(bda) (bda: 2,2’‐bipyridine‐6,6’‐dicarboxylate) complex equipped with oligo(ethylene glycol)‐functionalized axial calix[4]arene ligands has been synthesized for homogenous catalytic water oxidation. This novel Ru(bda) macrocycle showed significantly increased catalytic activity in chemical and photocatalytic water oxidation compared to the archetype mononuclear reference [Ru(bda)(pic)\(_2\)]. Kinetic investigations, including kinetic isotope effect studies, disclosed a unimolecular water nucleophilic attack mechanism of this novel dinuclear water oxidation catalyst (WOC) under the involvement of the second coordination sphere. Photocatalytic water oxidation with this cyclic dinuclear Ru complex using [Ru(bpy)\(_3\)]Cl\(_2\) as a standard photosensitizer revealed a turnover frequency of 15.5 s\(^{−1}\) and a turnover number of 460. This so far highest photocatalytic performance reported for a Ru(bda) complex underlines the potential of this water‐soluble WOC for artificial photosynthesis.
Photocatalytic water oxidation is a promising process for the production of solar fuels and the elucidation of factors that influence this process is of high significance. Thus, we have studied in detail light‐driven water oxidation with a trinuclear Ru(bda) (bda: 2,2’‐bipyridine‐6,6’‐dicarboxylate) macrocycle MC3 and its highly water soluble derivative m‐CH\(_2\)NMe\(_2\)‐MC3 using a series of ruthenium tris(bipyridine) complexes as photosensitizers under varied reaction conditions. Our investigations showed that the catalytic activities of these Ru macrocycles are significantly affected by the choice of photosensitizer (PS) and reaction media, in addition to buffer concentration, light intensity and concentration of the sensitizer. Our steady‐state and transient spectroscopic studies revealed that the photocatalytic performance of trinuclear Ru(bda) macrocycles is not limited by their intrinsic catalytic activities but rather by the efficiency of photogeneration of oxidant PS\(^+\) and its ability to act as an oxidizing agent to the catalysts as both are strongly dependent on the choice of photosensitizer and the amount of employed organic co‐solvent.
The goal of this doctoral thesis is to identify appropriate methods for the estimation of connectivity and for measuring synchrony between spike trains from in vitro neuronal networks. Special focus is set on the parameter optimization, the suitability for massively parallel spike trains, and the consideration of the characteristics of real
recordings. Two new methods were developed in the course of the optimization which outperformed other methods from the literature. The first method “Total spiking probability edges” (TSPE) estimates the effective connectivity of two spike trains, based on the
cross-correlation and a subsequent analysis of the cross-correlogram. In addition to the estimation of the synaptic weight, a distinction between excitatory and inhibitory connections is possible. Compared to other methods, simulated neuronal networks could be estimated with higher accuracy, while being suitable for the analysis of massively parallel spike trains. The second method “Spike-contrast” measures the synchrony of parallel spike trains
with the advantage of automatically optimizing its time scale to the data. In contrast to other methods, which also adapt to the characteristics of the data, Spike-contrast is more robust to erroneous spike trains and significantly faster for large amounts of parallel spike trains. Moreover, a synchrony curve as a function of the time scale is generated by Spike-contrast. This optimization curve is a novel feature for the analysis of parallel spike trains.
The projects presented in this thesis cover the examination of the electronic and structural properties of organic thin films at noble metal-organic interfaces. Angle-resolved photoemission spectroscopy is used as the primary investigative tool due to the connection of the emitted photoelectrons to the electronic structure of the sample. The surveyed materials are of relevance for fundamental research and practical applications on their own, but also serve as archetypes for the photoemission techniques presented throughout the four main chapters of this thesis. The techniques are therefore outlined with their adaptation to other systems in mind and a special focus on the proper description of the final state.
The most basic description of the final state that is still adequate for the evaluation of photoemission data is a plane wave. Its simplicity enables a relatively intuitive interpretation of photoemission data, since the initial and final state are related to one another by a Fourier transform and a geometric factor in this approximation. Moreover, the initial states of some systems can be reconstructed in three dimensions by combining photoemission measurements at various excitation energies. This reconstruction can even be carried out solely based on experimental data by using suitable iterative algorithms.
Since the approximation of the final state in the photoemission process by a plane wave is not valid in all instances, knowledge on the limitations of its applicability is indispensable. This can be gained by a comparison to experimental data as well as calculations with a more detailed description of the photoemission final state. One possible appraoch is based on independently emitting atoms where the coherent superposition of partial, atomic final states produces the total final state. This approach can also be used for more intricate studies on organic thin films. To this end, experimental data can be related to theoretical calculations to gain extensive insights into the structural and electronic properties of molecules in organic thin films.
The DAEDALUS mission concept aims at exploring and characterising the entrance and initial part of Lunar lava tubes within a compact, tightly integrated spherical robotic device, with a complementary payload set and autonomous capabilities.
The mission concept addresses specifically the identification and characterisation of potential resources for future ESA exploration, the local environment of the subsurface and its geologic and compositional structure.
A sphere is ideally suited to protect sensors and scientific equipment in rough, uneven environments.
It will house laser scanners, cameras and ancillary payloads.
The sphere will be lowered into the skylight and will explore the entrance shaft, associated caverns and conduits. Lidar (light detection and ranging) systems produce 3D models with high spatial accuracy independent of lighting conditions and visible features.
Hence this will be the primary exploration toolset within the sphere.
The additional payload that can be accommodated in the robotic sphere consists of camera systems with panoramic lenses and scanners such as multi-wavelength or single-photon scanners.
A moving mass will trigger movements.
The tether for lowering the sphere will be used for data communication and powering the equipment during the descending phase.
Furthermore, the connector tether-sphere will host a WIFI access point, such that data of the conduit can be transferred to the surface relay station. During the exploration phase, the robot will be disconnected from the cable, and will use wireless communication.
Emergency autonomy software will ensure that in case of loss of communication, the robot will continue the nominal mission.
The obligate human pathogen Neisseria meningitidis is a major cause of sepsis and meningitis worldwide. It affects mainly toddlers and infants and is responsible for thousands of deaths each year. In this study, different aspects of the importance of sphingolipids in meningococcal pathogenicity were investigated. In a first step, the acid sphingomyelinase (ASM), which degrades membrane sphingomyelin to ceramide, was studied in the context of meningococcal infection. A requirement for ASM surface activity is its translocation from the lysosomal compartment to the cell surface, a process that is currently poorly understood.
This study used various approaches, including classical invasion and adherence assays, flow cytometry, and classical and super resolution immunofluorescence microscopy (dSTORM). The results showed that the live, highly piliated N. meningitidis strain 8013/12 induced calcium-dependent ASM translocation in human brain microvascular endothelial cells (HBMEC). Furthermore, it promoted the formation of ceramide-rich platforms (CRPs). In addition, ASM translocation and CRP formation were observed after treating the cells with pili-enriched fractions derived from the same strain. The importance for N. meningitidis to utilize this pathway was shown by the inhibition of the calcium-dependent ASM translocation, which greatly decreased the number of invasive bacteria.
I also investigated the importance of the glycosphingolipids GM1 and Gb3. The results showed that GM1, but not Gb3, plays an important role in the ability of N. meningitidis to invade HBMEC. By combining dSTORM imaging and microbiological approaches, we demonstrated that GM1 accumulated prolifically around bacteria during the infection, and that this interaction seemed essential for meningococcal invasion.
Sphingolipids are not only known for their beneficial effect on pathogens. Sphingoid bases, including sphingosine, are known for their antimicrobial activity. In the last part of this study, a novel correlative light and electron microscopy approach was established in the combination with click chemistry to precisely localize azido-functionalized sphingolipids in N. meningitidis. The result showed a distinct concentration-dependent localization in either the outer membrane (low concentration) or accumulated in the cytosol (high concentration). This pattern was confirmed by mass spectrometry on separated membrane fractions. Our data provide a first insight into the underlying mechanism of antimicrobial sphingolipids.
We examined 143 patients suffering from FMS, a syndrome characterized by chronic widespread pain, sleep disturbances, and fatigue. Etiology and pathophysiology of FMS are scarcely understood. In recent years abnormalities of small Aδ- and C-nerve fibers have been found in subgroups of FMS patients. It is yet unclear how such SFP is caused in FMS patients and how it contributes to FMS symptoms.
We used CCM to analyze corneal small nerve fibers and associated LC, comparing FMS patients’ results to those from 65 healthy controls and 41 disease controls suffering from SFN. We, further, assessed expression levels of mRNA and miRNA in keratinocytes taken from skin punch biopsies of FMS patients and healthy controls kept as monocellular cell cultures. A screening was performed using NGS in a small cohort of 12 FMS patients and 5 healthy controls. Results were validated in larger cohorts by qRT-PCR.
As in previous studies IENFD and CNFD were reduced in a subgroup of FMS patients. We found identical LC densities in FMS patients, healthy controls, and SFN patients. The subpopulation of dLCfiber contact in FMS and SFN patients was lower than in healthy controls. Our RNA expression analysis revealed one mRNA that was expressed higher in FMS patients than in controls: PRSS21.
We conclude that reduced neurotrophic signaling of LC may contribute to SFP in the cornea. Epidermal PRSS21 expression and dLCfiber contact density are promising biomarker candidates for FMS diagnosis.
Over the last decades, cybersecurity has become an increasingly important issue. Between 2019 and 2011 alone, the losses from cyberattacks in the United States grew by 6217%. At the same time, attacks became not only more intensive but also more and more versatile and diverse. Cybersecurity has become everyone’s concern. Today, service providers require sophisticated and extensive security infrastructures comprising many security functions dedicated to various cyberattacks. Still, attacks become more violent to a level where infrastructures can no longer keep up. Simply scaling up is no longer sufficient. To address this challenge, in a whitepaper, the Cloud Security Alliance (CSA) proposed multiple work packages for security infrastructure, leveraging the possibilities of Software-defined Networking (SDN) and Network Function Virtualization (NFV).
Security functions require a more sophisticated modeling approach than regular network functions. Notably, the property to drop packets deemed malicious has a significant impact on Security Service Function Chains (SSFCs)—service chains consisting of multiple security functions to protect against multiple at- tack vectors. Under attack, the order of these chains influences the end-to-end system performance depending on the attack type. Unfortunately, it is hard to predict the attack composition at system design time. Thus, we make a case for dynamic attack-aware SSFC reordering. Also, we tackle the issues of the lack of integration between security functions and the surrounding network infrastructure, the insufficient use of short term CPU frequency boosting, and the lack of Intrusion Detection and Prevention Systems (IDPS) against database ransomware attacks.
Current works focus on characterizing the performance of security functions and their behavior under overload without considering the surrounding infrastructure. Other works aim at replacing security functions using network infrastructure features but do not consider integrating security functions within the network. Further publications deal with using SDN for security or how to deal with new vulnerabilities introduced through SDN. However, they do not take security function performance into account. NFV is a popular field for research dealing with frameworks, benchmarking methods, the combination with SDN, and implementing security functions as Virtualized Network
Functions (VNFs). Research in this area brought forth the concept of Service Function Chains (SFCs) that chain multiple network functions after one another. Nevertheless, they still do not consider the specifics of security functions. The mentioned CSA whitepaper proposes many valuable ideas but leaves their realization open to others.
This thesis presents solutions to increase the performance of single security functions using SDN, performance modeling, a framework for attack-aware SSFC reordering, a solution to make better use of CPU frequency boosting, and an IDPS against database ransomware.
Specifically, the primary contributions of this work are:
• We present approaches to dynamically bypass Intrusion Detection Systems (IDS) in order to increase their performance without reducing the security level. To this end, we develop and implement three SDN-based approaches (two dynamic and one static).
We evaluate the proposed approaches regarding security and performance and show that they significantly increase the performance com- pared to an inline IDS without significant security deficits. We show that using software switches can further increase the performance of the dynamic approaches up to a point where they can eliminate any throughput drawbacks when using the IDS.
• We design a DDoS Protection System (DPS) against TCP SYN flood at tacks in the form of a VNF that works inside an SDN-enabled network. This solution eliminates known scalability and performance drawbacks of existing solutions for this attack type.
Then, we evaluate this solution showing that it correctly handles the connection establishment and present solutions for an observed issue. Next, we evaluate the performance showing that our solution increases performance up to three times. Parallelization and parameter tuning yields another 76% performance boost. Based on these findings, we discuss optimal deployment strategies.
• We introduce the idea of attack-aware SSFC reordering and explain its impact in a theoretical scenario. Then, we discuss the required information to perform this process.
We validate our claim of the importance of the SSFC order by analyzing the behavior of single security functions and SSFCs. Based on the results, we conclude that there is a massive impact on the performance up to three orders of magnitude, and we find contradicting optimal orders
for different workloads. Thus, we demonstrate the need for dynamic reordering.
Last, we develop a model for SSFC regarding traffic composition and resource demands. We classify the traffic into multiple classes and model the effect of single security functions on the traffic and their generated resource demands as functions of the incoming network traffic. Based on our model, we propose three approaches to determine optimal orders for reordering.
• We implement a framework for attack-aware SSFC reordering based on this knowledge. The framework places all security functions inside an SDN-enabled network and reorders them using SDN flows.
Our evaluation shows that the framework can enforce all routes as desired. It correctly adapts to all attacks and returns to the original state after the attacks cease. We find possible security issues at the moment of reordering and present solutions to eliminate them.
• Next, we design and implement an approach to load balance servers while taking into account their ability to go into a state of Central Processing Unit (CPU) frequency boost. To this end, the approach collects temperature information from available hosts and places services on the host that can attain the boosted mode the longest.
We evaluate this approach and show its effectiveness. For high load scenarios, the approach increases the overall performance and the performance per watt. Even better results show up for low load workloads, where not only all performance metrics improve but also the temperatures and total power consumption decrease.
• Last, we design an IDPS protecting against database ransomware attacks that comprise multiple queries to attain their goal. Our solution models these attacks using a Colored Petri Net (CPN).
A proof-of-concept implementation shows that our approach is capable of detecting attacks without creating false positives for benign scenarios. Furthermore, our solution creates only a small performance impact.
Our contributions can help to improve the performance of security infrastructures. We see multiple application areas from data center operators over software and hardware developers to security and performance researchers. Most of the above-listed contributions found use in several research publications.
Regarding future work, we see the need to better integrate SDN-enabled security functions and SSFC reordering in data center networks. Future SSFC should discriminate between different traffic types, and security frameworks should support automatically learning models for security functions. We see the need to consider energy efficiency when regarding SSFCs and take CPU boosting technologies into account when designing performance models as well as placement, scaling, and deployment strategies. Last, for a faster adaptation against recent ransomware attacks, we propose machine-assisted learning for database IDPS signatures.
Adrenal Cushing’s Syndrome (CS) is a rare but life-threatening disease and therefore it is of great importance to understand the pathogenesis leading to adrenal CS. It is well accepted that Protein Kinase A (PKA) signalling mediates steroid secretion in adrenocortical cells. PKA is an inactive heterotetramer, consisting of two catalytic and two regulatory subunits. Upon cAMP binding to the regulatory subunits, the catalytic subunits are released and are able to phosphorylate their target proteins. Recently, activating somatic mutations affecting the catalytic subunit a of PKA have been identified in a sub-population of cortisol-producing adenomas (CPAs) associated with overt CS. Interestingly, the PKA regulatory subunit IIb has long been known to have significantly lower protein levels in a sub-group of CPAs compared to other adrenocortical tumours. Yet, it is unknown, why these CPAs lack the regulatory subunit IIb, neither are any functional consequences nor are the underlying regulation mechanisms leading to reduced RIIb levels known. The results obtained in this thesis show a clear connection between Ca mutations and reduced RIIb protein levels in CPAs but not in other adrenocortical tumours. Furthermore, a specific pattern of PKA subunit expression in the different zones of the normal adrenal gland is demonstrated. In addition, a Ca L206R mutation-mediated degradation of RIIb was observed in adrenocortical cells in vitro. RIIb degradation was found to be mediated by caspases and by performing mutagenesis experiments of the regulatory subunits IIb and Ia, S114 phosphorylation of RIIb was identified to make RIIb susceptible for degradation. LC-MS/MS revealed RIIb interaction partners to differ in the presence of either Ca WT and Ca L206R. These newly identified interaction partners are possibly involved in targeting RIIb to subcellular compartments or bringing it into spatial proximity of degrading enzymes. Furthermore, reducing RIIb protein levels in an in vitro system were shown to correlate with increased cortisol secretion also in the absence of PRKACA mutations. The inhibiting role of RIIb in cortisol secretion demonstrates a new function of this regulatory PKA subunit, improving the understanding of the complex regulation of PKA as key regulator in many cells.
This thesis describes the functional principle of FARN, a novel flight controller for Unmanned Aerial Vehicles (UAVs) designed for mission scenarios that require highly accurate and reliable navigation. The required precision is achieved by combining low-cost inertial sensors and Ultra-Wide Band (UWB) radio ranging with raw and carrier phase observations from the Global Navigation Satellite System (GNSS). The flight controller is developed within the scope of this work regarding the mission requirements of two research projects, and successfully applied under real conditions.
FARN includes a GNSS compass that allows a precise heading estimation even in environments where the conventional heading estimation based on a magnetic compass is not reliable. The GNSS compass combines the raw observations of two GNSS receivers with FARN’s real-time capable attitude determination. Thus, especially the deployment of UAVs in Arctic environments within the project for ROBEX is possible despite the weak horizontal component of the Earth’s magnetic field.
Additionally, FARN allows centimeter-accurate relative positioning of multiple UAVs in real-time. This enables precise flight maneuvers within a swarm, but also the execution of cooperative tasks in which several UAVs have a common goal or are physically coupled. A drone defense system based on two cooperative drones that act in a coordinated manner and carry a commonly suspended net to capture a potentially dangerous drone in mid-air was developed in conjunction with the
project MIDRAS.
Within this thesis, both theoretical and practical aspects are covered regarding UAV development with an emphasis on the fields of signal processing, guidance and control, electrical engineering, robotics, computer science, and programming of embedded systems. Furthermore, this work aims to provide a condensed reference for further research in the field of UAVs.
The work describes and models the utilized UAV platform, the propulsion system, the electronic design, and the utilized sensors. After establishing mathematical conventions for attitude representation, the actual core of the flight controller, namely the embedded ego-motion estimation and the principle control architecture are outlined. Subsequently, based on basic GNSS navigation algorithms, advanced carrier phase-based methods and their coupling to the ego-motion estimation framework are derived. Additionally, various implementation details and optimization steps of the system are described. The system is successfully deployed and tested within the two projects. After a critical examination and evaluation of the developed system, existing limitations and possible improvements are outlined.
Inspired by the fact that sufficient solubility in aqueous media can be achieved by functional substitution of perylene bisimides (PBIs) with polar groups, one of the essential aims of this thesis was the design and successful synthesis of the new water-soluble PBI cyclophanes [2PBI]-1m and [2PBI]-1p, which are appended with branched, hydrophilic oligoethylene glycol (OEG) chains. Subsequently, the focus was set on the elucidation of properties of PBI cyclophane hosts which are also of relevance for recognition processes in biological systems. The performance of the new amphiphilic PBI cyclophane [2PBI]-1p as synthetic receptors for various natural aromatic alkaloids in aqueous media was thoroughly investigated. Alkaloids represent a prominent class of ubiquitous nitrogen containing natural compounds with a great structural variety and diverse biological activity. As of yet, no chromophore host acting as a molecular probe for a range of alkaloids such as harmine or harmaline is known. In addition, the self-association behavior of cyclophane host [2PBI]-1m and its reference monomer in water was studied in order to gain insights into the thermodynamic driving forces affecting the self-assembly process of these two PBI systems in aqueous environment. Moreover, the chirality transfer upon guest binding previously observed for a PBI cyclophane was investigated further. The assignment of the underlying mechanism of guest recognition to either the induced fit or conformational selection model was of particular interest.
Summary
Bees, like many other organisms, evolved an endogenous circadian clock, which enables them to foresee daily environmental changes and exactly time foraging flights to periods of floral resource availability. The social lifestyle of a honey bee colony has been shown to influence circadian behavior in nurse bees, which do not exhibit rhythmic behavior when they are nursing. On the other hand, forager bees display strong circadian rhythms. Solitary bees, like the mason bee, do not nurse their offspring and do not live in hive communities, but face the same daily environmental changes as honey bees. Besides their lifestyle mason and honey bees differ in their development and life history, because mason bees overwinter after eclosion as adults in their cocoons until they emerge in spring. Honey bees do not undergo diapause and have a relatively short development of a few weeks until they emerge. In my thesis, I present a comparison of the circadian clock of social honey bees (Apis mellifera) and solitary mason bees (Osmia bicornis and Osmia cornuta) on the neuroanatomical level and behavioral output level.
I firstly characterized in detail the localization of the circadian clock in the bee brain via the expression pattern of two clock components, namely the clock protein PERIOD (PER) and the neuropeptide Pigment Dispersing Factor (PDF), in the brain of honey bee and mason bee. PER is localized in lateral neuron clusters (which we called lateral neurons 1 and 2: LN1 and LN2) and dorsal neuron clusters (we called dorsal lateral neurons and dorsal neurons: DLN, DN), many glia cells and photoreceptor cells. This expression pattern is similar to the one in other insect species and indicates a common ground plan of clock cells among insects. In the LN2 neuron cluster with cell bodies located in the lateral brain, PER is co-expressed with PDF. These cells build a complex arborization network throughout the brain and provide the perfect structure to convey time information to brain centers, where complex behavior, e.g. sun-compass orientation and time memory, is controlled. The PDF arborizations centralize in a dense network (we named it anterio-lobular PDF hub: ALO) which is located in front of the lobula. In other insects, this fiber center is associated with the medulla (accessory medulla: AME). Few PDF cells build the ALO already in very early larval development and the cell number and complexity of the network grows throughout honey bee development. Thereby, dorsal regions are innervated first by PDF fibers and, in late larval development, the fibers grow laterally to the optic lobe and central brain. The overall expression pattern of PER and PDF are similar in adult social and solitary bees, but I found a few differences in the PDF network density in the posterior protocerebrum and the lamina, which may be associated with evolution of sociality in bees.
Secondly, I monitored activity rhythms, for which I developed and established a device to monitor locomotor activity rhythms of individual honey bees with contact to a mini colony in the laboratory. This revealed new aspects of social synchronization and survival of young bees with indirect social contact to the mini colony (no trophalaxis was possible). For mason bees, I established a method to monitor emergence and locomotor activity rhythms and I could show that circadian emergence rhythms are entrainable by daily temperature cycles. Furthermore, I present the first locomotor activity rhythms of solitary bees, which show strong circadian rhythms in their behavior right after emergence. Honey bees needed several days to develop circadian locomotor rhythms in my experiments. I hypothesized that honey bees do not emerge with a fully matured circadian system in the hive, while solitary bees, without the protection of a colony, would need a fully matured circadian clock right away after emergence. Several indices in published work and preliminary studies support my hypothesis and future studies on PDF expression in different developmental stages in solitary bees may provide hard evidence.
Observing the Digital Self
(2021)
Facebook, Instagram, Twitter & Co. Social media have become an essential part of everyday life for many people in recent years, and as such, it is impossible to imagine a life without them. It seems self-evident to operate as an active prosumer in the net via various end devices. We create personal profiles in various social networks, exchange ideas, and connect with others. We take part in virtual events, and above all: we actively shape the web.
The photo and video platform Instagram is one of the most popular social networking sites. Since 2010, the online service has offered its users the opportunity for personal development and space for creativity. Therefore, the personal profiles serve not only participatory reasons but also facilitate acts of self-representation.
In addition to apparently visible aspects, questions about self-perception arise: How do users experience and evaluate their activities in virtual space? How do they perceive their actions between the offline and online world, and how intertwined are these spheres? Through an ethnographical approach, this work represents the attempt to look beyond the self-evident aspects of the digital self. For this purpose, two Instagram users were accompanied for more than a year.
The eukaryotic gene expression requires extensive regulations to enable the homeostasis of the cell and to allow dynamic responses due to external stimuli. Although many regulatory mechanisms involve the transcription as the first step of the gene expression, intensive regulation occurs also in the post-transcriptional mRNA metabolism. Thereby, the particular composition of the mRNPs plays a central role as the components associated with the mRNA form a specific “mRNP code” which determines the fate of the mRNA. Many proteins which are involved in this regulation and the mRNA metabolism are affected in diseases and especially neurological disorders often result from an aberrant mRNP code which leads to changes in the regulation and expression of mRNPs.
The focus of this work was on a trimeric protein complex which is termed TTF complex based on its subunits TDRD3, TOP3β and FMRP. Biochemical investigations revealed that the three components of the TTF complex are nucleo-cytosolic shuttle proteins which localize in the cytoplasm at the steady-state, associate with mRNPs and are presumably connected to the translation. Upon cellular stress conditions, the TTF components concentrate in stress granules. Thus, the TTF complex is part of the mRNP code, however its target RNAs and function are still completely unknown. Since the loss of functional FMRP results in the fragile X syndrome and TOP3β is associated with schizophrenia and intellectual disability, the TTF complex connects these phenotypically related neuro-psychiatric disorders with each other on a molecular level.
Therefore, the aim of this work was to biochemically characterize the TTF complex and to define its function in the mRNA metabolism. In this work, evidence was provided that TDRD3 acts as the central unit of the TTF complex and directly binds to FMRP as well as to TOP3β. Thereby, the interaction of TDRD3 and TOP3β is very stable, whereas FMRP is a dynamic component. Interestingly, the TTF complex is not bound directly to mRNA, but is recruited via the exon junction complex (EJC) to mRNPs. This interaction is mediated by a specific binding motif of TDRD3, the EBM. Upon biochemical and biological investigations, it was possible to identify the interactome of the TTF complex and to define the role in the mRNA metabolism. The data revealed that the TTF complex is mainly associated with “early” mRNPs and is probably involved in the pioneer round of translation. Furthermore, TOP3β was found to bind directly to the ribosome and thus, establishes a connection between the EJC and the translation machinery. A reduction of the TTF components resulted in selective changes in the proteome in cultured cells, whereby individual protein subsets seem to be regulated rather than the global protein expression.
Moreover, the enzymatic analysis of TOP3β indicated that TOP3β is a type IA topoisomerase which can catalytically attack not only DNA but also RNA. This aspect is particularly interesting with regard to the connection between early mRNPs and the translation which has been revealed in this work.
The data obtained in this work suggest that the TTF complex plays a role in regulating the metabolism of an early mRNP subset possibly in the course of the pioneer round of translation. Until now, the link between an RNA topoisomerase and the mRNA metabolism is thereby unique and thus provides a completely new perspective on the steps in the post-transcriptional gene expression and its regulation.
Insight into molecular mechanisms of folding and self-association of spider silk protein domains
(2021)
Spider silk is a biomaterial of extraordinary toughness paired with elasticity. The assembly of silk proteins, so-called spidroins (from “spider” and “fibroin”), generates the silk threads we typically see in our garden or the corners of our houses. Although spider webs from different species vary considerably in geometry and size, many sections of spidroin sequences are conserved. Highly conserved regions, found in all spidroins, relate to the terminal domains of the protein, i.e., the N-terminal (NTD) and C-terminal domains (CTD). Both have an essential function in the silk fibre association and polymerisation.
The NTD is a 14 kDa five-helix bundle, which self-associates via a pH-driven mechanism. This process is critical for starting the polymerisation of the fibre. However, detailed insights into how conserved this mechanism is in different species and the quantitative thermodynamic comparison between homologous NTDs was missing. For this reason, four homologous NTDs of the major ampullate gland (MaSp) from spider species Euprosthenops australis, Nephila clavipes, Latrodectus hesperus, and Latrodectus geometricus were investigated. I analysed and quantified equilibrium thermodynamics, kinetics of folding, and self-association. Methods involved dynamic light scattering (MALS), stopped-flow fluorescence and circular dichroism spectroscopy in combination with thermal and chemical denaturation experiments. The results showed conserved, cooperative two-state folding on a sub-millisecond time scale. All homologous NTDs showed a similarly fast association in the order of 10^9 M^−1 s^−1, while the resulting equilibrium dissociation constants were in the low nanomolar range. Electrostatic forces were found to be of great importance for protein association. Monomeric protein stability increased with salt concentration while enhancing its folding speed. However, due to Debye-Hückel effects, we found intermolecular electrostatics to be shielded, which reduced the NTDs association capacity significantly at high ionic strength. Altogether, the energetics and kinetics of the NTD dimerisation was conserved for all analysed homologs.
Comparable to the NTD, the spider silks CTD is also a α-helix bundle, which covalently links two spidroins. The orientation of the domains predetermines the future fibre geometry. Here again, the detailed quantitative characterisation of the folding and dimerisation was missing. Therefore, the CTD from the E. australis was analysed in-depth. The protein folded via a three-state mechanism and was placed in the family of knotted proteins.
By analysing the amino acid composition of the NTD of the MaSp1 of the Euprosthenops australis, we found an unusually high content of methionine residues (Met). To elucidate why this protein exhibits so many Met residues, I mutated all core Mets simultaneously to leucine (Leu). Results revealed a dramatically stabilised NTD, which now folded 50 times faster. After solving the tertiary structure of the mutant by NMR (nuclear magnetic resonance) spectroscopy, the structure of the monomeric mutant was found to be identical with the wild-type protein. However, when probing the dimerisation of the NTD, I could show that the association capacity was substantially impaired for the mutant. Our findings lead to the conclusion that Met provides the NTD with enhanced conformational dynamics and thus mobilises the protein, which results in tightly associated dimers. In additional experiments, I first re-introduced new Met residues into the Met-depleted protein at sequence positions containing native Leu. Hence, the mutated NTD protein was provided with the same number of Leu, which were previously removed by mutation. However, the protein did not regain wild-type characteristics. The functionality was not restored, but its stability was decreased as expected. To probe our hypothesis gained from the MaSp NTD, I transferred the experiment to another protein, namely the Hsp90 chaperone. Therefore, I incorporated methionine residues in the protein, which resulted in a slight improvement of its function.
Finally, trial experiments were performed aiming at the synthesis of shortened spidroin constructs containing less repetitive middle-segments than the wild-type protein. The objective was to study the findings of the terminal domains in the context of an intact spidroin. The synthesis of these engineered spidroins was challenging. Nevertheless, preliminary results encourage the assumption that the characteristics observed in the isolated domains hold true in the context of a full-length spidroin.
Computer games are highly immersive, engaging, and motivating learning environments. By providing a tutorial at the start of a new game, players learn the basics of the game's underlying principles as well as practice how to successfully play the game. During the actual gameplay, players repetitively apply this knowledge, thus improving it due to repetition. Computer games also challenge players with a constant stream of new challenges which increase in difficulty over time. As a result, computer games even require players to transfer their knowledge to master these new challenges. A computer game consists of several game mechanics. Game mechanics are the rules of a computer game and encode the game's underlying principles. They create the virtual environments, generate a game's challenges and allow players to interact with the game. Game mechanics also can encode real world knowledge. This knowledge may be acquired by players via gameplay. However, the actual process of knowledge encoding and knowledge learning using game mechanics has not been thoroughly defined, yet. This thesis therefore proposes a theoretical model to define the knowledge learning using game mechanics: the Gamified Knowledge Encoding. The model is applied to design a serious game for affine transformations, i.e., GEtiT, and to predict the learning outcome of playing a computer game that encodes orbital mechanics in its game mechanics, i.e., Kerbal Space Program. To assess the effects of different visualization technologies on the overall learning outcome, GEtiT visualizes the gameplay in desktop-3D and immersive virtual reality. The model's applicability for effective game design as well as GEtiT's overall design are evaluated in a usability study. The learning outcome of playing GEtiT and Kerbal Space Program is assessed in four additional user studies. The studies' results validate the use of the Gamified Knowledge Encoding for the purpose of developing effective serious games and to predict the learning outcome of existing serious games. GEtiT and Kerbal Space Program yield a similar training effect but a higher motivation to tackle the assignments in comparison to a traditional learning method. In conclusion, this thesis expands the understanding of using game mechanics for an effective learning of knowledge. The presented results are of high importance for researches, educators, and developers as they also provide guidelines for the development of effective serious games.
The Chimpanzees of the Comoé National Park, Ivory Coast. Status, distribution, ecology and behavior
(2021)
Although wild chimpanzees (Pan troglodytes) have been studied intensely for more than 50 years, there are still many aspects of their ecology and behavior that are not well understood. Every time that a new population of chimpanzees has been studied, new behaviors and unknown aspects of their ecology have been discovered. All this accumulated knowledge is helping us to piece together a model of how could last human and chimpanzee common ancestors have lived and behaved between seven and five million years ago. Comoé chimpanzees had never been studied in depth, until we started our research in October 2014, only a few censuses had been realized. The last surveys prior our work, stated that the population was so decimated that was probably functionally extinct. When we started this research, we had to begin with a new intensive survey, using new methods, to ascertain the real status and distribution of the chimpanzees living in Comoé National Park (CNP). During the last five years, we have realized a deep study aiming to know more about their ecology and behavior. We combined transects and reconnaissance marches (recces) with the use of camera traps, for the first time in CNP, obtaining a wealth of data that is not fully comprised in this dissertation. With this research, we determined that there is a sustainable continuous population of Western chimpanzees (Pan troglodytes verus) in CNP and the adjacent area of Mont Tingui, to the West, with a minimum of 127 weaned chimpanzees living in our main 900 km2 study area, SW of CNP. We found that this population is formed by a minimum of eight different chimpanzee communities, of which we studied seven, four of them more in detail. These chimpanzees spent much more time in the forest than in the savanna habitats.
We also found that Comoé chimpanzees consumed at least 58 different food items in their dit, which they obtained both from forest and savanna habitats. Another finding was that insectivory had an important role in their diet, with at least four species of ants, three of termites and some beetle larvae. These chimpanzees also hunted at least three species of monkeys and maybe rodents and duikers and occasionally consumed the big land snails of genus Achatina. We found that, during the fruit scarcity period in the late rainy season, they intensely consumed the cambium of Ceiba pentandra, as fallback food, much more than the bark or cambium of any other tree species. Another interesting finding was that all the chimpanzees in the studied area realized this particular bark-peeling behavior and had been repeatedly peeling the trees of this species for years. This did not increase tree mortality and the damage caused to the trees was healed in two years, not reducing the growth, thus being a sustainable use of the trees. We found that Comoé chimpanzees produced and used a great variety of tools, mainly from wooden materials, but also from stone and herbaceous vegetation.
Their tool repertory included stick tools to dip for Dorylus burmeisteri ants, to fish for Camponotus and Crematogaster ants, to dip for honey, mainly from Meliponini stingless bees, but sometimes from honey bees (Apis mellifera). It also included the use of stick tools to fish termites of Macrotermes subhyalinus and Odontotermes majus (TFTs), to dip for water from tree holes and investigatory probes for multiple purposes. Additionally, these chimpanzees used leaf-sponges to drink from tree holes and to collect clayish water from salt-licks. They also used stones to hit the buttresses of trees during displays, the so called accumulative stone throwing behavior and probably used stones as hammers, to crack open hard-shelled Strichnos spinosa and Afraegle paniculata fruits and Achatina snails. The chimpanzees also used objects that are not generally accepted as animal tools, for being attached to the substrate, with different purposes: they drummed buttresses of trees with hands and/or feet to produce sound during male displays and they pounded open hard-shelled fruits, Achatina snails and Cubitermes termite mounds on stone or root anvils. We finally measured the stick tools and found significant differences between them suggesting that they were specialized tools made specifically for every purpose. We studied more in detail the differences between apparently similar tools, the honey dipping tools and the water dipping tools, often with brushes made at their tips to collect the fluids. These last tools were exclusive from Comoé and have not been described at any other site. We found that total length, diameter and brush length were significantly different, suggesting that they were specialized tools. We concluded that Comoé chimpanzees had a particular culture, different from those of other populations of Western chimpanzees across Africa. Efficient protection, further research and permanent presence of research teams are required to avoid that this unique population and its culture disappears by the poaching pressure and maybe by the collateral effects of climate change.
Introduction: Speckle-tracking echocardiography has recently emerged as a quantitative ultrasound technique for accurately evaluating myocardial function by analyzing the motion of speckles identified. Speckle-tracking obtained under stress may offer an opportunity to improve the detection of dynamic regional abnormalities and myocardial viability.
Objective: To evaluate stress speckle tracking as tool to detect myocardial viability in comparison to cardiac MRI in post-STEMI patients.
Methods: 49 patients were prospectively enrolled in our 18-month’s study. Dobutamin stress echocardiography was performed 4 days post-infarction accompanied with automated functional imaging (Speckle tracking) analysis of left ventricle during rest and then during low dose stress. All patients underwent a follow up stress echocardiography at 6 weeks with speckle tracking analysis. Cardiac MRI took place concomitantly at 4 days post-infarction and 6 weeks. We carried out an assessment of re-admission with acute coronary syndrome (ACS) after one year of enrollment.
Results: Investigating strain rate obtained with stress speckle tracking after revascularization predicted the extent of myocardial scar, determined by contrast-enhanced magnetic resonance imaging. A good correlation was found between the global strain and total infarct size (R 0.75, p< 0.001). Furthermore, a clear inverse relationship was found between the segmental strain and the transmural extent of infarction in each segment. (R -0.69, p<0.01). Meanwhile it provided 81.82% sensitivity and 82.6% specificity to detect transmural from non-transmural infarction at a cut-off value of -10.15. Global stress strain rate showed 80% sensitivity and 77.5% specificity at a cut-off value of -9.1 to predict hospital re-admission with ACS. A cut-off value of -8.4 had shown a 69.23% sensitivity and 73.5% specificity to predict the re-admission related to other cardiac symptoms.
Conclusion: Strain rate obtained from speckle tracking during stress is a novel method of detecting myocardial viability after STEMI .Moreover it carries a promising role in post-myocardial infarction risk stratification with a reasonable prediction of reversible cardiac-related hospital re-admission.
The resolution of fluorescence light microscopy was long believed to be limited by the diffraction limit of light of around 200-250 nm described in 1873 by Ernst Abbe. Within the last decade, several approaches, such as structured illumination microscopy (SIM), stimulated emission depletion STED and (direct) stochastic optical reconstruction microscopy (d)STORM have been established to bypass the diffraction limit. However, such super-resolution techniques enabling a resolution <100 nm require specialized and expensive setups as well as expert knowledge in order to avoid artifacts. They are therefore limited to specialized laboratories. Recently, Boyden and colleagues introduced an alternate approach, termed expansion microscopy (ExM). The latter offers the possibility to perform superresolution microscopy on conventional confocal microscopes by embedding the sample into a swellable hydrogel that is isotropically expanded. Since its introduction in 2015, expansion microscopy has developed rapidly offering protocols for 4x, 10x and 20x expansion of proteins and RNA in cells, tissues and human clinical specimens.
Mitochondria are double membrane-bound organelles and crucial to the cell by performing numerous tasks, from ATP production through oxidative phosphorylation, production of many important metabolites, cell signaling to the regulation of apoptosis. The inner mitochondrial membrane is strongly folded forming so-called cristae. Besides being the location of the oxidative phosphorylation and therefore energy conversion and ATP production, cristae have been of great interest because changes in morphology have been linked to a plethora of diseases from cancer, diabetes, neurodegenerative diseases, to aging and infection. However, cristae imaging remains challenging as the distance between two individual cristae is often below 100 nm. Within this work, we demonstrate that the mitochondrial creatine kinase MtCK linked to fluorescent protein GFP (MtCK-GFP) can be used as a cristae marker. Upon fourfold expansion, we illustrate that our novel marker enables visualization of cristae morphology and localization of mitochondrial proteins relative to cristae without the need for specialized setups. Furthermore, we show the applicability of expansion microscopy for several bacterial pathogens, such as Chlamydia trachomatis, Simkania negevensis, Neisseria gonorrhoeae and Staphylococcus aureus. Due to differences in bacterial cell walls, we reveal important aspects for the digestion of pathogens for isotropic expansion. We further show that expansion of the intracellular pathogens C. trachomatis and S. negevensis, enables the differentiation between the two distinct developmental forms, catabolic active reticulate bodies (RB) and infectious elementary bodies (EB), on a conventional confocal microscope. We demonstrate the possibility to precisely locate chlamydial effector proteins, such as CPAF or Cdu1, within and outside the chlamydial inclusion. Moreover, we show that expansion microscopy enables the investigation of bacteria, herein S. aureus, within LAMP1 and LC3-II vesicles. With the introduction of the unnatural α-NH2-ω-N3-C6-ceramide, we further present the first approach for the expansion of lipids that may also be suitable for far inaccessible molecule classes like carbohydrates. The efficient accumulation and high labeling density of our functionalized α-NH2-ω-N3-C6-ceramide in both cells and bacteria enables in combination with tenfold expansion nanoscale resolution (10-20 nm) of the interaction of proteins with the plasma membrane, membrane of organelles and bacteria. Ceramide is the central molecule of the sphingolipid metabolism, an important constituent of cellular membranes and regulates many important cellular processes such as differentiation, proliferation and apoptosis. Many studies report about the importance of sphingolipids during infection of various pathogens. While the transport of ceramide to Chlamydia has been reported earlier, one of the unanswered questions remaining was if ceramide forms parts of the outer or inner bacterial membrane. Expansion of α-NH2-ω-N3-C6-ceramide enabled the visualization of ceramide in the inner and outer membrane of C. trachomatis and their distance was determined to be 27.6 ± 7.7 nm.
Fabry disease (FD) is an X-linked lysosomal storage disorder caused by deficiency of the α-galactosidase A (GLA), leading to intracellular accumulations of globotriaosylceramide (Gb3). Acral burning pain, which can be triggered by heat, fever or physical activity is an early hallmark of FD and greatly reduces patients’ quality of life. The pathophysiology of FD pain is unknown and research is hindered by the limited in vivo availability of suitable human biomaterial. To overcome this obstacle, we generated induced pluripotent stem cells (iPSC) from one female and two male patients with a differing pain phenotype, and developed a refined differentiation protocol for sensory neurons to increase reliability and survival of these neurons, serving as an in vitro disease model. Neurons were characterized for the correct neuronal subtype using immunocytochemistry, gene expression analysis, and for their functionality using electrophysiological measurements.
iPSC and sensory neurons from the male patients showed Gb3 accumulations mimicking the disease phenotype, whereas no Gb3 depositions were detected in sensory neurons derived from the female cell line, likely caused by a skewed X-chromosomal inactivation in favor of healthy GLA. Using super-resolution imaging techniques we showed that Gb3 is localized in neuronal lysosomes of male patients and in a first experiment using dSTORM microscopy we were able to visualize the neuronal membrane in great detail. To test our disease model, we treated the neurons with enzyme replacement therapy (ERT) and analyzed its effect on the cellular Gb3 load, which was reduced in the male FD-lines, compared to non-treated cells. We also identified time-dependent differences of Gb3 accumulations, of which some seemed to be resistant to ERT. We also used confocal Ca2+ imaging to investigate spontaneous neuronal network activity, but analysis of the dataset proofed to be difficult, nonetheless showing a high potential for further investigations. We revealed that neurons from a patient with pain pain are more easily excitable, compared to cells from a patient without pain and a healthy control.
We provide evidence for the potential of patient-specific iPSC to generate a neuronal in vitro disease model, showing the typical molecular FD phenotype, responding to treatment, and pointing towards underlying electrophysiological mechanisms causing different pain phenotypes. Our sensory neurons are suitable for state-of-the-art microscopy techniques, opening new possibilities for an in-depth analysis of cellular changes, caused by pathological Gb3 accumulations. Taken together, our system can easily be used to investigate the effect of the different mutations of GLA on a functional and a molecular level in affected neurons.
The role of lipid transfer proteins (LTPs) during the fertilization process in Arabidopsis thaliana
(2021)
Double fertilization is a defining characteristic of flowering plants (angiosperms). As the sperm cells of higher plants are non-motile, they need to be transported to the female gametophyte via the growing pollen tube. The pollen-tube journey through the female tissues represents a highly complex process. To provide for successful reproduction it demands intricate communication between the cells of the two haploid gametophytes - the polar growing pollen tube (carrying the two non-motile sperm cells) and the ovule (hosting the egg cell/synergid cells). The polar growth of the pollen tube towards the female gamete is guided by different signaling molecules, including sugars, amino acids and peptides. Some of these belong to the family of lipid transfer proteins (LTPs), which are secreted cysteine-rich peptides. Depending on the plant species several lines of evidence have also suggested potential roles for LTPs during pollen germination or pollen-tube guidance. Although Arabidopsis thaliana has 49 annotated genes for LTPs, several of which are involved in plant immunity and cell-to-cell communication, the role of most members of this family during fertilization is unknown.
The aim of this project was therefore to systematically identify LTPs which play a role in the fertilization process in A. thaliana, particularly during pollen tube guidance. To identify candidate proteins, the expression profile of LTPs in reproductive tissue was investigated. This was accomplished by in-silico bioinformatic analysis using different expression databases. Following confirmion of these results by qRT-PCR analysis, seven Type-I nsLTPs (LTP1, LTP2, LTP3, LTP4, LTP5, LTP6 and LTP12) were found to be exclusively expressed in pistils. Except for LTP12, all other pistil expressed LTPs were transcriptionally induced upon pollination. Using reporter-based transcriptional and translational fusions the temporal and spatial expression patterns together with protein localizations for LTP2, 3, 4, 5, 6, and 12 were determined in planta. Stable transgenic plants carrying PromLTP::GUS constructs of the six different LTP candidates showed that most of LTPs were expressed in the stigma/stylar region and were induced upon pollination. With respect to protein localization on the cellular level, they split into two categories: LTP2, LTP5 and LTP6 were localized in the cell wall, while LTP3, LTP4 and LTP12 were specifically targeted to the plasma membrane.
For the functional characterization of the candidate LTPs, several T-DNA insertion mutant plant lines were investigated for phenotypes affecting the fertilization process. Pollen development and quality as well as their in-vitro germination rate did not differ between the different single ltp mutant lines and wildtype plants. Moreover, in-vivo cross pollination experiments revealed that tube growth and fertilization rate of the mutant plants were similar to wildtype plants. Altogether, no discernible phenotype was evident in other floral and vegetative parts between different single ltp mutant lines and wildtype plants. As there was no distinguishable phenotype observed for single ltp-ko plants, double knock out plants of the two highly homologous genes LTP2 (expressed in the female stigma, style and transmitting tract) and LTP5 (expressed in the stigma, style, pollen pollen-tube and transmitting tract) were generated using the EPCCRISPR-Cas9 genome editing technique. Two ltp2ltp5 mutant transgenic-lines (#P31-P2 and #P31-P3) with frameshift mutations in both the genes could be established. Further experiments showed, that the CRISPR/Cas9-mediated knock-out of LTP2/LTP5 resulted in significantly reduced fertilization success. Cell biological analyses revealed that the ltp2ltp5 double mutant was impaired in pollen tube guidance towards the ovules and that this phenotype correlated with aberrant callose depositions in the micropylar region during ovule development. Detailed analysis of in-vivo pollen-tube growth and reciprocal cross pollination assay suggested that, the severely compromised fertility was not caused by any defect in development of the pollen grains, but was due to the abnormal callose deposition in the embryo sac primarily concentrated at the synergid cell near the micropylar end. Aberrant callose deposition in ltp2ltp5 ovules pose a complete blockage for the growing pollen tube to change its polarity to enter the funiculus indicating funicular and micropylar defects in pollen tube guidance causing fertilization failure.
Our finding suggests that female gametophyte expressed LTP2 and LTP5 play a crucial role in mediating pollen tube guidance process and ultimately having an effect on the fertilization success. In line with the existence of a N-terminal signal peptide, secreted LTPs might represent a well-suited mobile signal carrier in the plant’s extracellular matrix. Previous reports suggested that, LTPs could act as chemoattractant peptide, imparting competence to the growing pollen tube, but the molecular mechanism is still obscure. The results obtained in this thesis further provide strong evidence, that LTP2/5 together regulate callose homeostasis and testable models are discussed. Future work is now required to elucidate the detailed molecular link between these LTPs and their potential interacting partners or receptors expressed in pollen and synergid cells, which should provide deeper insight into their functional role as regulatory molecules in the pollen tube guidance mechanism.
This thesis is divided into two parts.
In the first part we contribute to a working program initiated by Pudlák (2017) who lists several major complexity theoretic conjectures relevant to proof complexity and asks for oracles that separate pairs of corresponding relativized conjectures. Among these conjectures are:
- \(\mathsf{CON}\) and \(\mathsf{SAT}\): coNP (resp., NP) does not contain complete sets that have P-optimal proof systems.
- \(\mathsf{CON}^{\mathsf{N}}\): coNP does not contain complete sets that have optimal proof systems.
- \(\mathsf{TFNP}\): there do not exist complete total polynomial search problems (also known as total NP search problems).
- \(\mathsf{DisjNP}\) and \(\mathsf{DisjCoNP}\): There do not exist complete disjoint NP pairs (coNP pairs).
- \(\mathsf{UP}\): UP does not contain complete problems.
- \(\mathsf{NP}\cap\mathsf{coNP}\): \(\mathrm{NP}\cap\mathrm{coNP}\) does not contain complete problems.
- \(\mathrm{P}\ne\mathrm{NP}\).
We construct several of the oracles that Pudlák asks for.
In the second part we investigate the computational complexity of balance problems for \(\{-,\cdot\}\)-circuits computing finite sets of natural numbers (note that \(-\) denotes the set difference). These problems naturally build on problems for integer expressions and integer circuits studied by Stockmeyer and Meyer (1973), McKenzie and Wagner (2007), and Glaßer et al. (2010).
Our work shows that the balance problem for \(\{-,\cdot\}\)-circuits is undecidable which is the first natural problem for integer circuits or related constraint satisfaction problems that admits only one arithmetic operation and is proven to be undecidable.
Starting from this result we precisely characterize the complexity of balance problems for proper subsets of \(\{-,\cdot\}\). These problems turn out to be complete for one of the classes L, NL, and NP.
The first problem is that of the optimal volume allocation in procurement. The choice of this problem was motivated by a study whose objective was to support decision-making at two procurement organizations for the procurement of Depot Medroxyprogesterone Acetate (DMPA), an injectable contraceptive. At the time of this study, only one supplier that had undergone the costly and lengthy process of WHO pre-qualification was available to these organizations. However, a new entrant supplier was expected to receive WHO qualification within the next year, thus becoming a viable second source for DMPA procurement. When deciding how to allocate the procurement volume between the two suppliers, the buyers had to consider the impact on price as well as risk. Higher allocations to one supplier yield lower prices but expose a buyer to higher supply risks, while an even allocation will result in lower supply risk but also reduce competitive pressure, resulting in higher prices. Our research investigates this single- versus dual-sourcing problem and quantifies in one model the impact of the procurement volume on competition and risk. To support decision-makers, we develop a mathematical framework that accounts for the characteristics of donor-funded global health markets and models the effects of an entrant on purchasing costs and supply risks. Our in-depth analysis provides insights into how the optimal allocation decision is affected by various parameters and explores the trade-off between competition and supply risk. For example, we find that, even if the entrant supplier introduces longer leads times and a higher default risk, the buyer still benefits from dual sourcing. However, these risk-diversification benefits depend heavily on the entrant’s in-country registration: If the buyer can ship the entrant’s product to only a selected number of countries, the buyer does not benefit from dual sourcing as much as it would if entrant’s product could be shipped to all supplied countries. We show that the buyer should be interested in qualifying the entrant’s product in countries with high demand first.
In the second problem we explore a new tendering mechanism called the postponement tender, which can be useful when buyers in the global health industry want to contract new generics suppliers with uncertain product quality. The mechanism allows a buyer to postpone part of the procurement volume’s allocation so the buyer can learn about the unknown quality before allocating the remaining volume to the best supplier in terms of both price and quality. We develop a mathematical model to capture the decision-maker’s trade-offs in setting the right split between the initial volume and the postponed volume. Our analysis shows that a buyer can benefit from this mechanism more than it can from a single-sourcing format, as it can decrease the risk of receiving poor quality (in terms of product quality and logistics performance) and even increase competitive pressure between the suppliers, thereby lowering the purchasing costs. By considering market parameters like the buyer’s size, the suppliers’ value (difference between quality and cost), quality uncertainty, and minimum order volumes, we derive optimal sourcing strategies for various market structures and explore how competition is affected by the buyer’s learning about the suppliers’ quality through the initial volume.
The third problem considers the repeated procurement problem of pharmacies in Kenya that have multi-product inventories. Coordinating orders allows pharmacies to achieve lower procurement prices by using the quantity discounts manufacturers offer and sharing fixed ordering costs, such as logistics costs. However, coordinating and optimizing orders for multiple products is complex and costly. To solve the coordinated procurement problem, also known as the Joint Replenishment Problem (JRP) with quantity discounts, a novel, data-driven inventory policy using sample-average approximation is proposed. The inventory policy is developed based on renewal theory and is evaluated using real-world sales data from Kenyan pharmacies. Multiple benchmarks are used to evaluate the performance of the approach. First, it is compared to the theoretically optimal policy --- that is, a dynamic-programming policy --- in the single-product setting without quantity discounts to show that the proposed policy results in comparable inventory costs. Second, the policy is evaluated for the original multi-product setting with quantity discounts and compared to ex-post optimal costs. The evaluation shows that the policy’s performance in the multi-product setting is similar to its performance in the single-product setting (with respect to ex-post optimal costs), suggesting that the proposed policy offers a promising, data-driven solution to these types of multi-product inventory problems.
How diversity of life is generated, maintained, and distributed across space and time is the central question of community ecology. Communities are shaped by three assembly processes: (I) dispersal, (II) environ-mental, and (III) interaction filtering. Heterogeneity in environmental conditions can alter these filtering processes, as it increases the available niche space, spatially partitions the resources, but also reduces the effective area available for individual species. Ultimately, heterogeneity thus shapes diversity. However, it is still unclear under which conditions heterogeneity has positive effects on diversity and under which condi-tions it has negative or no effects at all. In my thesis, I investigate how environmental heterogeneity affects the assembly and diversity of diverse species groups and whether these effects are mediated by species traits.
In Chapter II, I first examine how much functional traits might inform about environmental filtering pro-cesses. Specifically, I examine to which extent body size and colour lightness, both of which are thought to reflect the species thermal preference, shape the distribution and abundance of two moth families along elevation. The results show, that assemblages of noctuid moths are more strongly driven by abiotic filters (elevation) and thus form distinct patterns in colour lightness and body size, while geometrid moths are driven by biotic filters (habitat availability), and show no decline in body size nor colour lightness along elevation. Thus, one and the same functional trait can have quite different effects on community assembly even between closely related taxonomic groups.
In Chapter III, I elucidate how traits shift the relative importance of dispersal and environmental filtering in determining beta diversity between forests. Environmental filtering via forest heterogeneity had on aver-age higher independent effects than dispersal filtering within and among regions, suggesting that forest heterogeneity determines species turnover even at country-wide extents. However, the relative importance of dispersal filtering increased with decreasing dispersal ability of the species group. From the aspects of forest heterogeneity covered, variations in herb or tree species composition had overall stronger influence on the turnover of species than forest physiognomy. Again, this ratio was influenced by species traits, namely trophic position, and body size, which highlights the importance of ecological properties of a taxo-nomic group in community assembly.
In Chapter IV, I assess whether such ecological properties ultimately determine the level of heterogeneity which maximizes species richness. Here, I considered several facets of heterogeneity in forests. Though the single facets of heterogeneity affected diverse species groups both in positive and negative ways, we could not identify any generalizable mechanism based on dispersal nor the trophic position of the species group which would dissolve these complex relationships.
In Chapter V, I examine the effect of environmental heterogeneity of the diversity of traits itself to evalu-ate, whether the effects of environmental heterogeneity on species richness are truly based on increases in the number of niches. The results revealed that positive effects of heterogeneity on species richness are not necessarily based on an increased number of niches alone, but proposedly also on a spatially partition of resources or sheltering effects. While ecological diversity increased overall, there were also negative trends which indicate filtering effects via heterogeneity.
In Chapter VI, I present novel methods in measuring plot-wise heterogeneity of forests across continental scales via Satellites. The study compares the performance of Sentinel-1 and LiDar-derived measurements in depicting forest structures and heterogeneity and to their predictive power in modelling diversity. Senti-nel-1 could match the performance of Lidar and shows high potential to assess free yet detailed infor-mation about forest structures in temporal resolutions for modelling the diversity of species.
Overall, my thesis supports the notion that heterogeneity in environmental conditions is an important driv-er of beta-diversity, species richness, and ecological diversity. However, I could not identify any general-izable mechanism which direction and form this effect will have.
The present study focuses on Rulin waishi 儒林外史 (The Unofficial History of the Scholars), a well-known Qing novel, from the perspective of gender. It attempts to contribute to the discussion about Chinese masculinity by identifying the representation of the scholars' masculinity in Rulin waishi and offer a better understanding of the novel's position regarding femininity and women.
This project shows that the novel nevertheless reflects rather than challenges gender ideologies of its time. The ideal manhood showed in the novel comprises real virtues and authentic learning. It goes against the traditional, orthodox Confucian masculinity which advocates that officialdom is the glorious path to fulfill a learned man's masculinity. It is mainly due to Wu Jingzi's own failure in the civil service examinations and official careers. Regarding the relation of masculinity and sexuality, the novel reveals that a masculine man is not tempted by female charm but can enjoy a harmonious and companionate marriage. Besides, scholars show great anxiety about their masculinity since they are in a marginal position in society. Their manliness is challenged by officials, merchants, and even commoners, as well as their colleagues.
Through a careful examination of stories of Pinniang, Miss Lu, and Mrs. Wang, it reveals that the novel holds a conventional opinion on women although it criticizes widow suicide and shows an egalitarian husband-wife relationship. It praises Confucian womanly virtues, such as following and serving the husband, managing the household, and keeping chastity. Female sexuality is blamed as an evil temptation to lead men to go astray. Women’s learning gains legitimacy when serving to fulfill domestic responsibilities. It carries the Confucian message that men should take the lead and maintain order in the household and reinforces the rightful patriarchy.
In a word, rather than go ahead of its time, Rulin waishi holds a conservative attitude towards gender issues.
Recent progress in nanotechnology has attracted interest to a biomedical application of the carbon nanoparticle C60 fullerene (C60) due to its unique structure and versatile biological activity. In the current study the dual functionality of C60 as a photosensitizer and a drug nanocarrier was exploited to improve the efficiency of chemotherapeutic drugs towards human leukemic cells.
Pristine C60 demonstrated time-dependent accumulation with predominant mitochondrial localization in leukemic cells. C60’s effects on leukemic cells irradiated with high power single chip LEDs of different wavelengths were assessed to find out the most effective photoexcitation conditions. A C60-based noncovalent nanosized system as a carrier for an optimized drug delivery to the cells was evaluated in accordance to its physicochemical properties and toxic effects. Finally, nanomolar amounts of C60-drug nanocomplexes in 1:1 and 2:1 molar ratios were explored to improve the efficiency of cell treatment, complementing it with photodynamic approach.
A proposed treatment strategy was developed for C60 nanocomplexes with the common chemotherapeutic drug Doxorubicin, whose intracellular accumulation and localization, cytotoxicity and mechanism of action were investigated. The developed strategy was revealed to be transferable to an alternative potent anticancer drug – the herbal alkaloid Berberine.
Hereafter, a strong synergy of treatments arising from the combination of C60-mediated drug delivery and C60 photoexcitation was revealed. Presented data indicate that a combination of chemo- and photodynamic treatments with C60-drug nanoformulations could provide a promising synergetic approach for cancer treatment.
Peptide receptor radionuclide therapy (PRRT) is a molecular targeted radiation therapy involving the systemic administration of radiolabeled somatostatin receptor binding peptides designed to target with high affinity and specificity receptors overexpressed on tumors. Peptides are applied which either target as agonist (with internalization) or antagonist (little to no internalization). Recently, two novel antagonistic agents have been developed for clinical use: OPS202 and OPS201. 68Ga-labelled OPS202 is used for diagnostic purposes with positron emission tomography and 177Lu-labelled OPS201 is used for the therapy in patients with neuroendocrine tumors (NETs). Both agents are presently under clinical evaluation. Despite the very low internalization rate, the use of somatostatin receptor antagonists which target more binding sites on receptors are expected to result in higher specificity, more favorable pharmacokinetics and higher tumor retention and better visualization than the agonists. The main goal of this thesis was analyzing the biodistribution, biokinetics and internal dosimetry of the recently developed somatostatin receptor antagonists (OPS201 and OPS202) for therapeutic and diagnostic purposes in different species (mice, pigs and patients). In addition, an analysis of the influence of image quantification and the integration of time activity curves on kidney dosimetry in a pig model was carried out. Furthermore, extrapolation methods, which are used for predicting organ absorbed doses for humans based on preclinical animal models, were systematically compared for blood, liver, and kidneys of OPS201 injected species. Based on the OPS202 injected patients’ investigations, 68Ga-OPS202 shows promising biodistribution and imaging properties with tumor contrast which is optimal one hour after injection of the radiotracer. OPS202 is well tolerated and delivers absorbed doses to organs that are lower than those by 18F-FDG and similar to other 68Ga-labeled somatostatin receptor ligands. As a result of 68Ga OPS202 injection, the highest absorbed doses were observed in the urinary bladder (0.10 mGy/MBq) and kidneys (0.84 mGy/MBq). The calculated mean effective dose coefficient of 68Ga-OPS202 injected patients was 0.024 mSv/MBq (3.6 mSv for 150 MBq 68Ga-OPS202 injection) which is similar to other 68Ga-labeled compounds. Based on the OPS201 biokinetics and dosimetry investigations, after the injection of 177Lu-OPS201, a fast blood clearance of the compound is observed in the first phase (half-life: 1.83 h) for each species. 10 min after injection, less than 5% of the injected activity per milliliter of blood circulates in pigs and humans. The analysis of the mice, pig and preliminary patient data provides evidence that, patients enrolled in a phase 1 177Lu-OPS201 trial would not be at risk of overexposure. Based on our results, for 177Lu labelled studies, late time points after 72 h have a great impact on absorbed dose calculations. That is why follow-up times especially at late time points (more than 72 h) are required for the time-integrated activity coefficient (TIAC) calculations in order to represent the area under the curve appropriately and to analyze both biokinetics and dosimetry accurately. In addition, to find the most adequate extrapolation methods that minimize the interspecies differences of dosimetry data, several extrapolation methods from animal to human have been tested. For OPS201 time scaling or combination of relative mass and time scaling results in most similar TIAC values, if the organ mass ratios between the species are high. In time scaling, the scan/sampling time is scaled by using the ratio of the whole body masses of the respective species. In relative mass scaling, the TIACs are scaled based on the ratio of the whole body and organ mass of respective species. Other methods tested showed higher deviations. For the study on the influence of image quantification and the choice of the optimal scanning time points, a study in a pig model, which was performed in collaboration with Aalborg University and Octreopharm Sciences GmbH, was reanalyzed. As kidneys are organs-at-risk in PRRT with 177Lu labelled peptides, several quantification methods, based on 2D and 3D quantitative imaging were chosen. For this purpose, a 3D printed pig kidney phantom was prepared and measured with/without background activities representing the activities in the pig SPECT/CT scans. The phantom dosimetry data based on multiple SPECT/CT images and based on multiple planar images in combination with one SPECT/CT scan (MP1S Imaging) were compared to the pig dosimetry. The calculated TIACs of the phantom with background based on multiple SPECT/CT and MP1S imaging were quite similar to the multiple SPECT/CT based pig TIAC. In addition, in order to investigate the effect of late time points on dosimetry and absorbed dose values in 177Lu therapies, the difference, associated with eliminating the late two scan time points, on the TIACs was analyzed. When the TIACs (including all time points) of the pig based on multiple SPECT/CT and MP1S imaging were investigated, the use of MP1S imaging results in considerably lower TIAC values to the kidney (by a factor of 1.4). With eliminating late time points from the created time activity curve, the factor increases up to 2.4 times with a corresponding increase in TIAC uncertainties. As a consequence, further evaluation of 68Ga-OPS202 for PET/CT imaging and 177Lu-OPS201 for the treatments of NET patients is necessary. In particular, a head-to-head comparison of agonists and OPS peptides with respect to biokinetics, biodistribution and dosimetry would be helpful. In addition, the influence of the late scan time points on dosimetry needs further attention in particular for kidney dosimetry
This work revealed spin states that are involved in the light generation of organic light-emitting diodes (OLEDs) that are based on thermally activated delayed fluorescence (TADF). First, several donor:acceptor-based TADF systems forming exciplex states were investigated. Afterwards, a TADF emitter that shows intramolecular charge transfer states but also forms exciplex states with a proper donor molecule was studied. The primary experimental technique was electron paramagnetic resonance (EPR), in particular the advanced methods electroluminescence detected magnetic resonance (ELDMR), photoluminescence detected magnetic resonance (PLDMR) and electrically detected magnetic resonance (EDMR). Additional information was gathered from time-resolved and continuous wave photoluminescence measurements.
The first Borono-Strecker reaction has been developed to synthesize α-aminoboronates via a multicomponent reaction of readily available carbonyl compounds (aldehydes and ketones), amines and B2pin2. The preparation of α-amino cyclic boronates can be achieved via multicomponent coupling of salicylaldehydes, amines, and B2(OH)4. In addition, the diazaborole-based PBP pincer palladium chloride and the diazaborole-based PBP pincer palladium trifluoromethanesulfonate complexes were synthesized and fully characterized for the first time, and used as catalysts for Suzuki-Miyaura cross-coupling reactions.
The quantum Hall (QH) effect, which can be induced in a two-dimensional (2D) electron gas by an external magnetic field, paved the way for topological concepts in condensed matter physics. While the QH effect can for that reason not exist without Landau levels, there is a plethora of topological phases of matter that can exist even in the absence of a magnetic field. For instance, the quantum spin Hall (QSH), the quantum anomalous Hall (QAH), and the three-dimensional (3D) topological insulator (TI) phase are insulating phases of matter that owe their nontrivial topology to an inverted band structure. The latter results from a strong spin-orbit interaction or, generally, from strong relativistic corrections. The main objective of this thesis is to explore the fate of these preexisting topological states of matter, when they are subjected to an external magnetic field, and analyze their connection to quantum anomalies. In particular, the realization of the parity anomaly in solid state systems is discussed. Furthermore, band structure engineering, i.e., changing the quantum well thickness, the strain, and the material composition, is employed to manipulate and investigate various topological properties of the prototype TI HgTe.
Like the QH phase, the QAH phase exhibits unidirectionally propagating metallic edge channels. But in contrast to the QH phase, it can exist without Landau levels. As such, the QAH phase is a condensed matter analog of the parity anomaly. We demonstrate that this connection facilitates a distinction between QH and QAH states in the presence of a magnetic field. We debunk therefore the widespread belief that these two topological phases of matter cannot be distinguished, since they are both described by a $\mathbb{Z}$ topological invariant. To be more precise, we demonstrate that the QAH topology remains encoded in a peculiar topological quantity, the spectral asymmetry, which quantifies the differences in the number of states between the conduction and valence band. Deriving the effective action of QAH insulators in magnetic fields, we show that the spectral asymmetry is thereby linked to a unique Chern-Simons term which contains the information about the QAH edge states. As a consequence, we reveal that counterpropagating QH and QAH edge states can emerge when a QAH insulator is subjected to an external magnetic field. These helical-like states exhibit exotic properties which make it possible to disentangle QH and QAH phases. Our findings are of particular importance for paramagnetic TIs in which an external magnetic field is required to induce the QAH phase.
A byproduct of the band inversion is the formation of additional extrema in the valence band dispersion at large momenta (the `camelback'). We develop a numerical implementation of the $8 \times 8$ Kane model to investigate signatures of the camelback in (Hg,Mn)Te quantum wells. Varying the quantum well thickness, as well as the Mn-concentration, we show that the class of topologically nontrivial quantum wells can be subdivided into direct gap and indirect gap TIs. In direct gap TIs, we show that, in the bulk $p$-regime, pinning of the chemical potential to the camelback can cause an onset to QH plateaus at exceptionally low magnetic fields (tens of mT). In contrast, in indirect gap TIs, the camelback prevents the observation of QH plateaus in the bulk $p$-regime up to large magnetic fields (a few tesla). These findings allowed us to attribute recent experimental observations in (Hg,Mn)Te quantum wells to the camelback. Although our discussion focuses on (Hg,Mn)Te, our model should likewise apply to other topological materials which exhibit a camelback feature in their valence band dispersion.
Furthermore, we employ the numerical implementation of the $8\times 8$ Kane model to explore the crossover from a 2D QSH to a 3D TI phase in strained HgTe quantum wells. The latter exhibit 2D topological surface states at their interfaces which, as we demonstrate, are very sensitive to the local symmetry of the crystal lattice and electrostatic gating. We determine the classical cyclotron frequency of surface electrons and compare our findings with experiments on strained HgTe.
DD is a cardiac disturbance, which has gained increasing importance in recent years due to its important role in different cardiac disease and cardiomyopathies including ischemic cardiomyopathy, arterial hypertension and diabetic cardiomyopathy.
ECG-gated 18F-FDG PET is an imaging technique, that can distinguish between districts of myocardial viability and myocardial scars and further provides information of great interest on the efficacy of experimental approaches designed to improve the cardiac function and/or myocardial metabolism in experimental small animal models. However, ECG-gated 18F-FDG PET is a technique whose feasibility in the assessment of the LV diastolic function in small animals has not been a subject of study.
In this thesis, the ability of the ECG-gated 18F-FDG PET for the assessment of both the systolic and diastolic function in eight control rats and in seven ZDF rats, which are an experimental animal model mimicking T2DM conditions and diabetic related complications in humans including DCM, has been investigated The ECG-gated 18F-FDG PET imaging was performed under hyperinsulinemic-euglycemic clamping and the data were stored in list mode files and retrospectively reconstructed. The systolic and diastolic parameters were achieved from the time/volume and the time/filling curve calculated from the software HFV. Additionally, the influence of the number of gates per cardiac cycle on the LV volumes and function parameters has been studied.
Hyperinsulinemic-euglycemic clamp procedure and blood glucose measurement did confirm the development of a manifest diabetes in the ZDF rats at the timepoint of the experiments.
Regarding the systolic parameters, no significant difference could be detected between the ZDF and ZL rats. The values for the CO were similar in both groups, which demonstrates a similar LV systolic function in the ZDF and the ZL rats at the age of 13 weeks. Values for the systolic parameters are in good line with previous PET, MRI and cardiac catheterization-based studies in diabetic rats.
The main finding of this study was that by using in vivo ECG-gated 18F-FDG PET and the software HFV, reliable diastolic parameters could be calculated. Moreover, it was possible to detect the presence of a mild impaired diastolic filling in the ZDF rats in absence of any systolic alteration. This impaired diastolic function in an early stage of diabetes could also be detected by other investigators, who used echocardiography or cardiac catheterization. Therefore, this is the first study showing, that the assessment of the diastolic function in rats can be carried out by ECG-gated 18F-FDG PET imaging.
In conclusion, additionally to calculating LV volumes and LV EF, ECG-gated 18F-FDG PET can evaluate the diastolic function of healthy and diabetic rats and is able to detect a DD in ZDF rats.
Remdesivir is the only FDA-approved drug for the treatment of COVID-19 patients. The active form of remdesivir acts as a nucleoside analog and inhibits the RNA-dependent RNA polymerase (RdRp) of coronaviruses including SARS-CoV-2. Remdesivir is incorporated by the RdRp into the growing RNA product and allows for addition of three more nucleotides before RNA synthesis stalls. Here we use synthetic RNA chemistry, biochemistry and cryoelectron microscopy to establish the molecular mechanism of remdesivir-induced RdRp stalling. We show that addition of the fourth nucleotide following remdesivir incorporation into the RNA product is impaired by a barrier to further RNA translocation. This translocation barrier causes retention of the RNA 3ʹ-nucleotide in the substrate-binding site of the RdRp and interferes with entry of the next nucleoside triphosphate, thereby stalling RdRp. In the structure of the remdesivir-stalled state, the 3ʹ-nucleotide of the RNA product is matched and located with the template base in the active center, and this may impair proofreading by the viral 3ʹ-exonuclease. These mechanistic insights should facilitate the quest for improved antivirals that target coronavirus replication.
Constraining graph layouts - that is, restricting the placement of vertices and the routing of edges to obey certain constraints - is common practice in graph drawing.
In this book, we discuss algorithmic results on two different restriction types:
placing vertices on the outer face and on the integer grid.
For the first type, we look into the outer k-planar and outer k-quasi-planar graphs, as well as giving a linear-time algorithm to recognize full and closed outer k-planar graphs Monadic Second-order Logic.
For the second type, we consider the problem of transferring a given planar drawing onto the integer grid while perserving the original drawings topology;
we also generalize a variant of Cauchy's rigidity theorem for orthogonal polyhedra of genus 0 to those of arbitrary genus.
G-protein-coupled receptors (GPCRs) regulate diverse physiological processes in the human body and represent prime targets in modern drug discovery. Engagement of different ligands to these membrane-embedded proteins evokes distinct receptor conformational rearrangements that facilitate subsequent receptor-mediated signalling and, ultimately, enable cellular adaptation to altered environmental conditions. Since the early 2000s, the technology of resonance energy transfer (RET) has been exploited to assess these conformational receptor dynamics in living cells and real time. However, to date, these conformational GPCR studies are restricted to single-cell microscopic setups, slowing down the discovery of novel GPCR-directed therapeutics. In this work, we present the development of a novel generalizable high-throughput compatible assay for the direct measurement of GPCR activation and deactivation. By screening a variety of energy partners for fluorescence (FRET) and bioluminescence resonance energy transfer (BRET), we identified a highly sensitive design for an α2A-adrenergic receptor conformational biosensor. This biosensor reports the receptor’s conformational change upon ligand binding in a 96-well plate reader format with the highest signal amplitude obtained so far. We demonstrate the capacity of this sensor prototype to faithfully quantify efficacy and potency of GPCR ligands in intact cells and real time. Furthermore, we confirm its universal applicability by cloning and validating five further equivalent GPCR biosensors. To prove the suitability of this new GPCR assay for screening purposes, we measured the well-accepted Z-factor as a parameter for the assay quality. All tested biosensors show excellent Z-factors indicating outstanding assay quality. Furthermore, we demonstrate that this assay provides excellent throughput and presents low rates of erroneous hit identification (false positives and false negatives). Following this phase of assay development, we utilized these biosensors to understand the mechanism and consequences of the postulated modulation of parathyroid hormone receptor 1 (PTHR1) through receptor activity-modifying protein 2 (RAMP2). We found that RAMP2 desensitizes PTHR1, but not the β2-adrenergic receptor (β2AR), for agonist-induced structural changes. This generalizable sensor design offers the first possibility to upscale conformational GPCR studies, which represents the most direct and unbiased approach to monitor receptor activation and deactivation. Therefore, this novel technology provides substantial advantages over currently established methods for GPCR ligand screening. We feel confident that this technology will aid the discovery of novel types of GPCR ligands, help to identify the endogenous ligands of so-called orphan GPCRs and deepen our understanding of the physiological regulation of GPCR function.
These days, we are living in a digitalized world. Both our professional and private lives are pervaded by various IT services, which are typically operated using distributed computing systems (e.g., cloud environments). Due to the high level of digitalization, the operators of such systems are confronted with fast-paced and changing requirements. In particular, cloud environments have to cope with load fluctuations and respective rapid and unexpected changes in the computing resource demands. To face this challenge, so-called auto-scalers, such as the threshold-based mechanism in Amazon Web Services EC2, can be employed to enable elastic scaling of the computing resources. However, despite this opportunity, business-critical applications are still run with highly overprovisioned resources to guarantee a stable and reliable service operation. This strategy is pursued due to the lack of trust in auto-scalers and the concern that inaccurate or delayed adaptations may result in financial losses.
To adapt the resource capacity in time, the future resource demands must be "foreseen", as reacting to changes once they are observed introduces an inherent delay. In other words, accurate forecasting methods are required to adapt systems proactively. A powerful approach in this context is time series forecasting, which is also applied in many other domains. The core idea is to examine past values and predict how these values will evolve as time progresses. According to the "No-Free-Lunch Theorem", there is no algorithm that performs best for all scenarios. Therefore, selecting a suitable forecasting method for a given use case is a crucial task. Simply put, each method has its benefits and drawbacks, depending on the specific use case. The choice of the forecasting method is usually based on expert knowledge, which cannot be fully automated, or on trial-and-error. In both cases, this is expensive and prone to error.
Although auto-scaling and time series forecasting are established research fields, existing approaches cannot fully address the mentioned challenges: (i) In our survey on time series forecasting, we found that publications on time series forecasting typically consider only a small set of (mostly related) methods and evaluate their performance on a small number of time series with only a few error measures while providing no information on the execution time of the studied methods. Therefore, such articles cannot be used to guide the choice of an appropriate method for a particular use case; (ii) Existing open-source hybrid forecasting methods that take advantage of at least two methods to tackle the "No-Free-Lunch Theorem" are computationally intensive, poorly automated, designed for a particular data set, or they lack a predictable time-to-result. Methods exhibiting a high variance in the time-to-result cannot be applied for time-critical scenarios (e.g., auto-scaling), while methods tailored to a specific data set introduce restrictions on the possible use cases (e.g., forecasting only annual time series); (iii) Auto-scalers typically scale an application either proactively or reactively. Even though some hybrid auto-scalers exist, they lack sophisticated solutions to combine reactive and proactive scaling. For instance, resources are only released proactively while resource allocation is entirely done in a reactive manner (inherently delayed); (iv) The majority of existing mechanisms do not take the provider's pricing scheme into account while scaling an application in a public cloud environment, which often results in excessive charged costs. Even though some cost-aware auto-scalers have been proposed, they only consider the current resource demands, neglecting their development over time. For example, resources are often shut down prematurely, even though they might be required again soon.
To address the mentioned challenges and the shortcomings of existing work, this thesis presents three contributions: (i) The first contribution-a forecasting benchmark-addresses the problem of limited comparability between existing forecasting methods; (ii) The second contribution-Telescope-provides an automated hybrid time series forecasting method addressing the challenge posed by the "No-Free-Lunch Theorem"; (iii) The third contribution-Chamulteon-provides a novel hybrid auto-scaler for coordinated scaling of applications comprising multiple services, leveraging Telescope to forecast the workload intensity as a basis for proactive resource provisioning. In the following, the three contributions of the thesis are summarized:
Contribution I - Forecasting Benchmark
To establish a level playing field for evaluating the performance of forecasting methods in a broad setting, we propose a novel benchmark that automatically evaluates and ranks forecasting methods based on their performance in a diverse set of evaluation scenarios. The benchmark comprises four different use cases, each covering 100 heterogeneous time series taken from different domains. The data set was assembled from publicly available time series and was designed to exhibit much higher diversity than existing forecasting competitions. Besides proposing a new data set, we introduce two new measures that describe different aspects of a forecast. We applied the developed benchmark to evaluate Telescope.
Contribution II - Telescope
To provide a generic forecasting method, we introduce a novel machine learning-based forecasting approach that automatically retrieves relevant information from a given time series. More precisely, Telescope automatically extracts intrinsic time series features and then decomposes the time series into components, building a forecasting model for each of them. Each component is forecast by applying a different method and then the final forecast is assembled from the forecast components by employing a regression-based machine learning algorithm. In more than 1300 hours of experiments benchmarking 15 competing methods (including approaches from Uber and Facebook) on 400 time series, Telescope outperformed all methods, exhibiting the best forecast accuracy coupled with a low and reliable time-to-result. Compared to the competing methods that exhibited, on average, a forecast error (more precisely, the symmetric mean absolute forecast error) of 29%, Telescope exhibited an error of 20% while being 2556 times faster. In particular, the methods from Uber and Facebook exhibited an error of 48% and 36%, and were 7334 and 19 times slower than Telescope, respectively.
Contribution III - Chamulteon
To enable reliable auto-scaling, we present a hybrid auto-scaler that combines proactive and reactive techniques to scale distributed cloud applications comprising multiple services in a coordinated and cost-effective manner. More precisely, proactive adaptations are planned based on forecasts of Telescope, while reactive adaptations are triggered based on actual observations of the monitored load intensity. To solve occurring conflicts between reactive and proactive adaptations, a complex conflict resolution algorithm is implemented. Moreover, when deployed in public cloud environments, Chamulteon reviews adaptations with respect to the cloud provider's pricing scheme in order to minimize the charged costs. In more than 400 hours of experiments evaluating five competing auto-scaling mechanisms in scenarios covering five different workloads, four different applications, and three different cloud environments, Chamulteon exhibited the best auto-scaling performance and reliability while at the same time reducing the charged costs. The competing methods provided insufficient resources for (on average) 31% of the experimental time; in contrast, Chamulteon cut this time to 8% and the SLO (service level objective) violations from 18% to 6% while using up to 15% less resources and reducing the charged costs by up to 45%.
The contributions of this thesis can be seen as major milestones in the domain of time series forecasting and cloud resource management. (i) This thesis is the first to present a forecasting benchmark that covers a variety of different domains with a high diversity between the analyzed time series. Based on the provided data set and the automatic evaluation procedure, the proposed benchmark contributes to enhance the comparability of forecasting methods. The benchmarking results for different forecasting methods enable the selection of the most appropriate forecasting method for a given use case. (ii) Telescope provides the first generic and fully automated time series forecasting approach that delivers both accurate and reliable forecasts while making no assumptions about the analyzed time series. Hence, it eliminates the need for expensive, time-consuming, and error-prone procedures, such as trial-and-error searches or consulting an expert. This opens up new possibilities especially in time-critical scenarios, where Telescope can provide accurate forecasts with a short and reliable time-to-result.
Although Telescope was applied for this thesis in the field of cloud computing, there is absolutely no limitation regarding the applicability of Telescope in other domains, as demonstrated in the evaluation. Moreover, Telescope, which was made available on GitHub, is already used in a number of interdisciplinary data science projects, for instance, predictive maintenance in an Industry 4.0 context, heart failure prediction in medicine, or as a component of predictive models of beehive development. (iii) In the context of cloud resource management, Chamulteon is a major milestone for increasing the trust in cloud auto-scalers. The complex resolution algorithm enables reliable and accurate scaling behavior that reduces losses caused by excessive resource allocation or SLO violations. In other words, Chamulteon provides reliable online adaptations minimizing charged costs while at the same time maximizing user experience.