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The discovery, heterologous expression, and characterization of channelrhodopsin-2 (ChR2) – a light-sensitive cation channel found in the green alga Chlamydomonas reinhardtii – led to the success of optogenetics as a powerful technology, first in neuroscience. ChR2 was employed to induce action potentials by blue light in genetically modified nerve cells. In optogenetics, exogenous photoreceptors are expressed in cells to manipulate cellular activity. These photoreceptors were in the beginning mainly microbial opsins. During nearly two decades, many microbial opsins and their mutants were explored for their application in neuroscience. Until now, however, the application of optogenetics to plant studies is limited to very few reports. Several optogenetic strategies for plant research were demonstrated, in which most attempts are based on non-opsin optogenetic tools. Opsins need retinal (vitamin A) as a cofactor to generate the functional protein, the rhodopsin. As most animals have eyes that contain animal rhodopsins, they also have the enzyme - a 15, 15'-Dioxygenase - for retinal production from food-supplied provitamin A (beta-carotene). However, higher plants lack a similar enzyme, making it difficult to express functional rhodopsins successfully in plants. But plant chloroplasts contain plenty of beta-carotene. I introduced a gene, coding for a 15, 15'-Dioxygenase with a chloroplast target peptide, to tobacco plants. This enzyme converts a molecule of β-carotene into two of all-trans-retinal. After expressing this enzyme in plants, the concentration of all-trans-retinal was increased greatly. The increased retinal concentration led to increased expression of several microbial opsins, tested in model higher plants. Unfortunately, most opsins were observed intracellularly and not in the plasma membrane. To improve their localization in the plasma membrane, some reported signal peptides were fused to the N- or C-terminal end of opsins. Finally, I helped to identify three microbial opsins -- GtACR1 (a light-gated anion channel), ChR2 (a light-gated cation channel), PPR (a light-gated proton pump) which express and work well in the plasma membrane of plants. The transgene plants were grown under red light to prevent activation of the expressed opsins. Upon illumination with blue or green light, the activation of these opsins then induced the expected change of the membrane potential, dramatically changing the phenotype of plants with activated rhodopsins.
This study is the first which shows the potential of microbial opsins for optogenetic research in higher plants, using the ubq10 promoter for ubiquitous expression. I expect this to be just the beginning, as many different opsins and tissue-specific promoters for selective expression now can be tested for their usefulness. It is further to be expected that the here established method will help investigators to exploit more optogenetic tools and explore the secrets, kept in the plant kingdom.
This dissertation explores the local gazetteers of West Lake that were compiled by literati of the Ming dynasty. In 1547, the first West Lake gazetteer was published by the local literatus of Hangzhou, Tian Rucheng 田汝成. In the late sixteenth and early seventeenth centuries, accompanying the huge enthusiasm for West Lake and the flourishing of its tourism, the production of West Lake gazetteers reached its peak. This trend, however, was reduced by the turmoils in the last years of the Ming and the dynastic transition, a period when West Lake had also experienced destruction. Nevertheless, the practice was resumed in the first decades of the Qing dynasty by some literati who had survived the disasters. One prominent work of this period was compiled by the Ming loyalist and “remnant subject” Zhang Dai 張岱, who wrote an author’s preface in 1671. This dissertation can be divided into two parts. The first part focuses on the editorial principles of compilers, e.g., which materials are included, how they are organized and presented. It explores various possible intentions of the compilers, such as scholarly and documentary, practical and oriented toward tour-guiding, didactic and educational, and personal and nostalgic ones. The second part focuses on some of the perceptions, attitudes, and values of literati focusing on West Lake. The discourses analyzed in this part include West Lake as a hybrid between metropolitan city and sheer wilderness, as a national symbol and object of nostalgia of the lost dynasty, and as a place of pleasure-seeking and indulgence. While a discourse often had a long tradition and historical development, the emphasis of the study is on the late sixteenth and early seventeenth centuries, i.e., the late Ming.
N-heterocyclic carbenes (NHC) are utilized for the stabilization of reactive compounds, for the activation of strong bonds, and as ligands in transition metal chemistry. In contrast to neutral NHCs, few examples of anionic or even dianionic NHCs are known. One approach for the synthesis of anionic carbenes is the deprotonation of neutral or anionic precursors, bearing Lewis acids instead of alkyl or aryl substituents. Following this strategy, novel anionic and dianionic NHCs, featuring weakly coordinating fluorinated borane and phosphorane substituents or coordinating tricyanoborane substituents were synthesized within the scope of this thesis. These carbenes possess unprecedented stabilities compared to related species. Furthermore, their electronic and steric properties can be directly adjusted by the type of Lewis acid attached. Their potential as ligands with highly shielding weakly coordinating substituents next to the carbene coordination center was demonstrated by the syntheses of the respective NHC selenium adducts and NHC gold(I) complexes. In contrast anionic NHCs with coordinating tricyanoborane moieties have an outstanding potential as ditopic ligands with coordination being possible at the carbene center and via the cyano groups. Their beneficial ligand properties were demonstrated by the syntheses of the respective NHC selenium adducts and NHC nickeltricarbonyl complexes. The combination of electronic properties, the large buried volume, the negative charge, the possibility to act as ditopic or ligands with weakly coordinating groups, and the ease of accessibility render borane- and phosphorane functionalized NHCs unique novel ligands. A further project of this PhD thesis deals with the steric properties of Lewis acids. Therefore, an easy-to-apply model was designed to quantify the steric demand of Lewis acids. Using the results of this evaluation, a second model was developed which judges the steric repulsion in Lewis acid/base adduct formation for arbitrary sets of acids and bases.
Aging is known to be a risk factor for structural abnormalities and functional decline in the nervous system. Characterizing age-related changes is important to identify putative pathways to overcome deleterious effects and improve life quality for the elderly. In this study, the peripheral nervous system of 24-month-old aged C57BL/6 mice has been investigated and compared to 12-month-old adult mice. Aged mice showed pathological alterations in their peripheral nerves similar to nerve biopsies from elderly human individuals, with nerve fibers showing demyelination and axonal damage. Such changes were lacking in nerves of adult 12-month-old mice and adult, non-aged humans. Moreover, neuromuscular junctions of 24-month-old mice showed increased denervation compared to adult mice. These alterations were accompanied by elevated numbers of macrophages in the peripheral nerves of aged mice. The neuroinflammatory conditions were associated with impaired myelin integrity and with a decline of nerve conduction properties and muscle strength in aged mice.
To determine the pathological impact of macrophages in the aging mice, macrophage depletion was performed in mice by oral administration of CSF-1R specific kinase (c-FMS) inhibitor PLX5622 (300 mg/kg body weight), which reduced the number of macrophages in the peripheral nerves by 70%. The treated mice showed attenuated demyelination, less muscle denervation and preserved muscle strength. This indicates that macrophage-driven inflammation in the peripheral nerves is partially responsible for the age-related neuropathy in mice.
Based on previous observations that systemic inflammation can accelerate disease progression in mouse models of neurodegenerative diseases, it was hypothesized that systemic inflammation can exacerbate the peripheral neuropathy found in aged mice. To investigate this hypothesis, aged C57BL/6 mice were intraperitoneally injected with a single dose of lipopolysaccharide (LPS; 500 μg/kg body weight) to induce systemic inflammation by mimicking bacterial infection, mostly via activation of Toll-like receptors (TLRs). Altered endoneurial macrophage activation, highlighted by Trem2 downregulation, was found in LPS injected aged mice one month after injection. This was accompanied by a so far rarely observed form of axonal perturbation, i.e., the occurrence of “dark axons” characterized by a damaged cytoskeleton and an increased overall electron density of the axoplasm. At the same time, however, LPS injection reduced demyelination and muscle denervation in aged mice. Interestingly, TREM2 deficiency in aged mice led to similar changes to LPS injection. This suggests that LPS injection likely mitigates aging-related demyelination and muscle denervation via Trem2 downregulation.
Taken together, this study reveals the role of macrophage-driven inflammation as a pathogenic mediator in age-related peripheral neuropathy, and that targeting macrophages might be an option to mitigate peripheral neuropathies in aging individuals. Furthermore, this study shows that systemic inflammation may be an ambivalent modifier of age-related nerve damage, leading to a distinct type of axonal perturbation, but in addition to functionally counteracting, dampened demyelination and muscle denervation. Translationally, it is plausible to assume that tipping the balance of macrophage polarization to one direction or the other may determine the functional outcome in the aging peripheral nervous system of the elderly.
The light-gated cation channel Channelrhodopsin-2 was discovered and characterized in 2003. Already in 2005/2006 five independent groups demonstrated that heterologous expression of Channelrhodopsin-2 is a highly useful and simply applicable method for depolarizing and thereby activating nerve cells. The application of Channelrhodopsin-2 revolutionized neuroscience research and the method was then called optogenetics. In recent years more and more light-sensitive proteins were successfully introduced as “optogenetic tools”, not only in neuroscience. Optogenetic tools for neuronal excitation are well developed with many different cation-conducting wildtype and mutated channelrhodopsins, whereas for inhibition of neurons in the beginning (2007) only hyperpolarizing ion pumps were available. The later discovered light-activated anion channels (anion channelrhodopsins) can be useful hyperpolarizers, but only at low cytoplasmic anion concentration. For this thesis, I optimized CsR, a proton-pumping rhodopsin from Coccomyxa subellipsoidea, which naturally shows a robust expression in Xenopus laevis oocytes and plant leaves. I improved the expression and therefore the photocurrent of CsR about two-fold by N-terminal modification to the improved version CsR2.0, without altering the proton pump function and the action spectrum. A light pulse hyperpolarised the mesophyll cells of CsR2.0-expressing transgenic tobacco plants (N. tabacum) by up to 20 mV from the resting membrane potential of -150 to -200 mV. The robust heterologous expression makes CsR2.0 a promising optogenetic tool for hyperpolarization in other organisms as well. A single R83H point-mutation converted CsR2.0 into a light-activated (passive) proton channel with a reversal potential close to the Nernst potential for intra-/extra-cellular H+ concentration. This light-gated proton channel is expected to become a further useful optogenetic tool, e.g. for analysis of pH-regulation in cells or the intercellular space. Ion pumps as optogenetic tools require high expression levels and high light intensity for efficient pump currents, whereas long-term illumination may cause unwanted heating effects. Although anion channelrhodopsins are effective hyperpolarizing tools in some cases, their effect on neuronal activity is dependent on the cytoplasmic chloride concentration which can vary among neurons. In nerve cells, increased conductance for potassium terminates the action potential and K+ conductance underlies the resting membrane potential in excitable cells. Therefore, several groups attempted to synthesize artificial light-gated potassium channels but 2 all of these published innovations showed serious drawbacks, ranging from poor expression over lacking reversibility to poor temporal precision. A highly potassium selective light-sensitive silencer of action potentials is needed. To achieve this, I engineered a light-activated potassium channel by the genetic fusion of a photoactivated adenylyl cyclase, bPAC, and a cAMP-gated potassium channel, SthK. Illumination activates bPAC to produce cAMP and the elevated cAMP level opens SthK. The slow diffusion and degradation of cAMP makes this construct a very light-sensitive, long-lasting inhibitor. I have successfully developed four variants with EC50 to cAMP ranging from 7 over 10, 21, to 29 μM. Together with the original fusion construct (EC50 to cAMP is 3 μm), there are five different light- (or cAMP-) sensitive potassium channels for researchersto choose, depending on their cell type and light intensity needs.
Neurodegeneration plays an essential role in Parkinson’s disease (PD). Several crucial neuronal pro-and antidegeneration markers were described to be altered in disease models accompanied by neurodegeneration. In the AAV1/2-A53T-aSyn PD rat model progressive time-dependent motor impairment and neurodegeneration in the nigrostriatal tract starting from 2 weeks after PD model induction could be found. Downregulation of Nrf2 in SN and nigrostriatal axon localization, a trend of Tau downregulation in SN and upregulation in axon localization in the AAV1/2-A53T-aSyn PD rat model were observed, indicating potential therapeutic value of these two molecular targets in PD. No alterations of SARM1 and NMNAT2 could be detected, indicating little relevance of these two molecules with our AAV1/2-A53T-aSyn rat model.
RNA is one of the most abundant macromolecules and plays essential roles in numerous biological processes. This doctoral thesis consists of two projects focusing on RNA structure and RNA-RNA interactions in viral genome packaging. In the first project I developed a method called Functional Analysis of RNA Structure (FARS-seq) to investigate structural features regulating genome dimerization within the HIV-1 5’UTR. Genome dimerization is a conserved feature of retroviral replication and is thought to be a prerequisite for binding to the viral structural protein Pr55Gag during genome packaging. It also plays a role in genome integrity and evolution through recombination, and is linked to a structural switch that may regulate genome packaging and translation within cells. Despite its importance for HIV-1 replication, the RNA signals regulating genome dimerization, and the molecular mechanism leading to the selection of the genome dimer over the monomer for packaging are incompletely understood. The FARS-seq method combines RNA structural information obtained by chemical probing with single nucleotide resolution profiles of RNA function obtained by mutational interference. In this way, we found nucleotides that were critical for dimerization, especially within the well-characterized dimerization motif within stem-loop 1 (SL1). We also found stretches of nucleotides that enhanced genome dimerization upon mutation, suggesting their role in negatively regulating dimerization. A structural analysis identified distinct structural signatures within monomeric and dimeric RNA. The dimeric conformation displayed the canonical transactivation response (TAR), PolyA, primer binding site (PBS), and SL1-SL3 stem-loops, and contained a long range U5-AUG interaction. Unexpectedly, in monomeric RNA, SL1 was reconfigured into long- and short-range base-pairings with PolyA and PBS, respectively. Intriguingly, these base pairings concealed the palindromic sequence needed for dimerization and disrupted the internal loop in SL1 previously shown to contain the major packaging motif for Pr55Gag. We therefore rationally introduced mutations into PolyA and PBS, and showed how these regions regulate genome dimerization, and the binding of Pr55Gag in vitro, as well as genome packaging into virions. These findings give insights into late stages of the HIV-1 life cycle and a mechanistic explanation for the link between RNA dimerization and packaging.
In the second project, I developed a proximity ligation and high-throughput sequencing-based method, RNA-RNA seq, which can measure direct (RNA-RNA) and indirect (protein-mediated) interactions. In contrast to existing methods, RNA-RNA seq is not limited by specific protein or RNA baits, nor to a particular crosslinking reagent. The genome of influenza A virus contains eight segments, which assemble into a “7+1” supramolecular complex. However, the molecular details of genome assembly are poorly understood. Our goal is to use RNA-RNA seq to identify the sites of interaction between the eight genomic RNAs of influenza, and to use this information to define the quaternary RNA architecture of the genome. We showed that RNA-RNA seq worked on model substrates, like the HIV-1 Dimerization Initiation Site (DIS) RNA and purified ribosome, as well as influenza A virus infected cells.
The universal two-child policy was introduced by the central government of China in 2016 to respond to the country’s deteriorating population problems, but it was soon replaced by a three-child policy in 2021 given that it failed to continuously boost fertility in Chinese society. This dissertation empirically investigates the implementation of universal two-child policy in three Chinese major cities. Based on the data collected through semi-structured interviews with leaders of local family planning agencies, it finds that local officials are primarily devoted to coping with the discontent of the bereaved single-child parents (shidu families), which is an unexpected consequence of the historical one-child policy, rather than working on the tasks regarding birth encouragement. The dissertation suggests understanding the implementation of China’s population policy within the framework of both historical and rational choice institutionalism. The target responsibility system as an effective tool of the central authority drives local agents to fix their attention at tasks that have larger impact on their career. The shifted focus in the implementation of the universal two-child policy is a result of local officials’ emphasis on the task of maintaining social stability. Shidu families are deemed as a salient threat to social order because their discontent with the state support has incurred continuous petitions at both the national and local level, which would severely undermine local officials’ career advancement. However, in the meantime, stability maintenance is found to have become alienated as reflected by the rising costs and that it replaced birth support to be the focus of local family planning agents in the universal two-child policy era. Since the conflict between the shidu group and the state is unlikely to be resolved, the future population policy design and enforcement will continue to be constrained by the shidu problem.
Motivated by the perceived great potential of chiral polymers, the presented work aimed at the investigation of synthesis, solubility and optical activity of chiral poly(2,4-disubstituted-2-oxazoline)s. A novel polymeric carrier based on ABA-type triblock copolymers poly(2-oxazoline)s with chiral and racemic hydrophobic blocks was developed for the formulation of chiral and achiral drugs (Fig. 5.1). Poly(2-methyl-2-oxazoline) (pMeOx) was used as hydrophilic A block, and poly(2-ethyl-4-ethyl-2-oxazoline) (pEtEtOx) and poly(2-propyl-4-methyl-2-oxazoline) (pPrMeOx) were used as hydrophobic B blocks. Curcumin (CUR), paclitaxel (PTX) and chiral/racemic ibuprofen (R/S/RS-IBU) were applied as model drugs. Nanoformulations were prepared consisting of these triblock copolymers and model drugs. ...
SUMOylation, as a post-translational modification, plays a crucial role in several biological processes. Small ubiquitin-like modifier (SUMO) proteins can be reversibly linked to the lysine residues located within specific motifs on numerous target proteins, leading to the change of stability, localization, activity of target proteins, mostly by promoting or interfering with the interaction with other molecules. Consequently, it can regulate gene transcription, migration, cell cycle progression, cellular responses to stress, and tumorigenesis.
NFATc1 belongs to the Nuclear Factor of Activated T-cells (NFAT) transcription factor family, which is dephosphorylated and translocates to the nucleus upon cell stimulation, which provokes Ca2+ signalling. NFAT plays a crucial role in the development and function of the immune system. NFATc1 has three SUMOylation sites at the position of aa 349, 702, and 914. In our previous study, we demonstrated that point mutations performed on the SUMOylation sites on all three or only at the lysine residues K702 and K914 lead to enhanced expression of IL-2 in vitro. To evaluate the function of SUMOylation of NFATc1 on T cell-mediated immunity in vivo, we not only generated a transgenic mouse strain (NFATc1/ΔS+ mouse) by point mutations from Lysine to Arginine on the two SUMOylation sites within exon 10 of Nfatc1 to prevent their SUMOylation, but in combination created another mouse strain (NFATc1/ΔBC+ mouse) that is completely Nfatc1 exon 10-ablated by using the LoxP/Cre system. In NFATc1/ΔS+ T cells, we observed enhanced IL-2 production and less IL-17A and IFN-γ expression. In line with exon 10 bearing the relevant SUMO sites, NFATc1/ΔBC+ CD4+ T cells behaved similarly as NFATc1/ΔS+ ones. The mechanism is that elevated IL-2 secretion can counteract the expression of IL-17A and IFN-γ via STAT5 and Blimp-1 induction. Afterwards, Blimp-1 suppressed IL-2 itself as well as Bcl2A1. Next, we performed two disease models with our NFATc1/ΔS+ mice. In a major mismatch model for acute graft-versus-host disease, we found that the mice transplanted with NFATc1/ΔS+ CD3+ T cells developed less severe disease, and T cells proliferated less due to increased Tregs. Moreover, when transferring 2D2.NFATc1/ΔS+ Th1 plus Th17 cells to Rag1-/- mice to induce experimental autoimmune encephalitis, we also observed ameliorated disease compared to animals with transferred WT T cells as well as increased Tregs.
Taking all data together, the deficiency in SUMOylation of NFATc1 leads to an elevated IL-2 secretion in T cells and subsequent activation of STAT5, which competes with STAT3 to inhibit IL-17A production and promotes Treg expansion, as well as to an enforcement of Blimp-1 expression, which suppresses IFN-γ and IL-2 expression. Consequently and despite a short phase of enhanced IL-2 secretion, the deficiency of SUMOylation on NFATc1 can protect from autoreactive and alloreactive diseases.
Moreover, to further understand the function of SUMOylation of NFATc1 in humans, we started by establishing an in vitro 3D culture system for tonsil organoids, which was successful in the presence of feeder cells, along with IL-4 and IL-7 cytokines. To confirm that our 3D tonsil organoids can respond to real antigens, we used CMV peptides and peptides of spike proteins from Covid-19 as real antigens, and co-cultured with tonsil organoids, which indeed can generate memory cells and plasmablasts. In the end, we also compared 3D to 2D cultures. Although the total numbers of all B cell subsets were much less in 3D culture than that in 2D culture, still, it indicates that this in-vitro culture system has its limitation, while being usable to produce the similar results as 2D did. Therefore, this 3D culture system can be used as a platform to investigate NFATc1/ΔS+ or NFATc1/ΔBC+ TFH and TFR cells in the dynamic of human GC responses.
This work presents excited state investigations on several systems with respect to experimental
spectroscopic work. The majority of projects covers the temporal evolution of
excitations in thin films of organic semiconductor materials. In the first chapters, thinfilm
and interface systems are build from diindeno[1,2,3-cd:1’,2’,3’-lm]perylene (DIP)
and N,N’-bis-(2-ethylhexyl)-dicyanoperylene-3,4:9,10-bis(dicarboximide) (PDIR-CN2)
layers, in the third chapter bulk systems consist of 4,4’,4”-tris[(3-methylphenyl)phenylamino]
triphenylamine (m-MTDATA), 4,7-diphenyl-1,10-phenanthroline (BPhen) and
tris-(2,4,6-trimethyl-3-(pyridin-3-yl)phenyl)borane (3TPYMB). These were investigated
by aggregate-based calculations. Careful selection of methods and incorporation
of geometrical relaxation and environmental effects allows for a precise energetical assignment
of excitations. The biggest issue was a proper description of charge-transfer
excitations, which was resolved by the application of ionization potential tuning on
aggregates. Subsequent characterization of excitations and their interplay condenses
the picture. Therefore, we could assign important features of the experimental spectroscopic
data and explain differences between systems.
The last chapter in this work covers the analysis of single molecule spectroscopy on
methylbismut. This poses different challenges for computations, such as multi-reference
character of low-lying excitations and an intrinsic need for a relativistic description.
We resolved this by combining complete active space self-consistent field based methods
with scalarrelativistic density-functional theory. Thus we were able to confidently
assign the spectroscopic features and explain underlying processes.
Emotional shifts are often a fundamental part of the narrative experience and engrained into the schematic structures of stories. Recent theoretical work suggests that these shifts are key for narrative influence and are interconnected with transportation, a known mechanism of narrative effects. Empirical research examining this proposition is still scarce, inconclusive, and lacking measures that assess the experience of emotional shifts throughout a narrative to explain effects. This thesis aims to contribute to this research lacuna and investigates the link between emotional shifts, transportation, and story-consistent outcomes using different methods to measure emotional shifts in the moment they occur (Manuscript #1 and #2), and using various narrative stimuli (audiovisual, written, auditive).
Manuscript #1 uses real-time-response (RTR) measurement to examine the relationship of valence shifts experienced during film viewing with transportation and post-exposure self-reported emotional flow. Manuscript #2 reports a pilot study and two experiments in which a self-probed emotional retrospection task is used to measure the number and intensity of emotional shifts during reading. I investigate the effect of reviews on transportation, the link between transportation and emotional shifts, and their respective associations with story-consistent attitudes, social sharing intentions, and donation behavior. In Manuscript #3, narrative structures are manipulated. Two experiments examine the effects of audio stories with shifting (positive-negative-positive) vs. positive-only emotional trajectories on the experience of happiness- and sadness-shifts, transportation, and post-exposure emotional flow.
Transportation was positively linked to valence shifts (M#1), and the number and intensity of emotional shifts (M#2), and emotional flow (M#1, M#3). In M#3, transportation was predicted by shifts in happiness, but not sadness. Emotional flow was linked to shifts in happiness, sadness, and RTR valence (M#1, M#3). Emotional shifts and transportation were associated with social sharing intentions, but only transportation was linked to some story-consistent attitudes (affective attitudes in particular).
CRISPR-Cas systems are highly diverse and canonically function as prokaryotic adaptive immune systems. The canonical resistance mechanism relies on spacers that are complementary to the invaders' nucleic acids. By accidental incorporation or other mechanisms, prokaryotes can also acquire self-targeting spacers that are complementary to their own genome. As self-targeting commonly leads to lethal autoimmunity, the existence of self-targeting spacers poses a paradox. In Chapter 1, we provide an overview of the prevalence of self-targeting spacers, summarize how they can be incorporated, and which means can be employed by the host to evade lethal self-targeting. In addition, we outline alternative functions of CRISPR-Cas systems that are associated with self-targeting spacers. Whether CRISPR-Cas systems can efficiently target their own genome depends heavily on the presence of protospacer adjacent motifs (PAMs) next to the target region. In Chapter 2, we developed a method to determine PAM requirements. Thereby, we specifically focused on type I systems that engage multi-protein complexes, which are challenging to assess. Using the cell-free transcription-translation (TXTL) system, we developed an enrichment-based binding assay and validated its reliability by examining the well-known PAM requirements of the E. coli type I-E system. In Chapter 3, we applied the TXTL-based PAM assay to assess 16 additional CRISPR-Cas systems. These 16 systems included three CRISPR-Cas associated transposons (CASTs). CASTs are recently discovered transposons that employ CRISPR-Cas systems in a non-canonical function for the directed integration of the transposon. To further characterize CASTs in TXTL outside their PAM requirements, we reconstituted the transposition of CASTs in TXTL. In Chapter 4, we turned to non-canonical self-targeting CRISPR-Cas systems, which were already discussed in Chapter 1. While investigating how the plant pathogen Xanthomonas albilineans survives self-targeting by its two endogenous CRISPR-Cas systems, we identified multiple putative anti-CRISPR proteins (Acrs) in the genome of X. albilineans. Two of the Acrs, named AcrIC11 and AcrIF12Xal, inhibited degradation by their respective CRISPR-Cas systems but still retained Cascade-binding ability, and appear responsible for the lack of autoimmunity in X. albilineans. In summary, we developed new technologies that eased the investigation of non-canonical multi-component systems and, if applied to additional systems, might reveal unique properties that could be implemented in new CRISPR-Cas based tools.
Despite accounting for only a small proportion of all skin cancers, malignant melanoma
displays a serious health risk with increasing incidence and high mortality rate. Fortunately,
advances in the treatment of malignant melanoma now prolong survival and enhance response
and treatment efficacy. Established biomarkers help evaluate disease progression and
facilitate choosing appropriate and individual treatment options. However, the need for easily
accessible and reliable biomarkers is rising to predict patient-specific clinical outcome.
Eosinophil infiltration into the tumor and high peripheral eosinophil counts prior and during
treatment have been associated with better response in patients for various cancer entities,
including melanoma. An analysis of a heterogeneous study cohort reported high serum ECP
levels in non-responders. Hence, eosinophil frequency and serum ECP as a soluble
eosinophil-secreted mediator were suggested as prognostic biomarkers in melanoma. We
examined whether melanoma patients treated with first-line targeted therapy could also benefit
from the effects of eosinophils. In total, 243 blood and serum samples from patients with
advanced melanoma were prospectively and retrospectively collected before and after drug
initiation. To link eosinophil function to improved clinical outcome, soluble serum markers and
peripheral blood counts were used for correlative studies using a homogeneous study cohort.
In addition, functional and phenotypical characterizations provided insights into the expression
profile and activity of freshly isolated eosinophils, including comparisons between patients and
healthy donors.
Our data showed a significant correlation between high pre-treatment blood eosinophil counts
and improved response to targeted therapy and by trend to combinatorial immunotherapy in
patients with metastatic melanoma. In accordance with previous studies our results links
eosinophil blood counts to better response in melanoma patients. High pre-treatment ECP
serum concentration correlated with response to immunotherapy but not to targeted therapy.
Eosinophils from healthy donors and patients showed functional and phenotypical similarities.
Functional assays revealed a strong cytotoxic potential of blood eosinophils towards
melanoma cells in vitro, inducing apoptosis and necrosis. In addition, in vitro cytotoxicity was
an active process of peripheral eosinophils and melanoma cells with bidirectional features and
required close cell-cell interaction. The extent of cytotoxicity was dose-dependent and showed
susceptibility to changes in physical factors like adherence. Importantly, we provide evidence
of an additive tumoricidal function of eosinophils and combinatorial targeted therapy in vitro. In
summary, we give valuable insights into the complex and treatment-dependent role of
eosinophils in melanoma. As a result, our data support the suggestion of eosinophils and their
secreted mediators as potential prognostic biomarkers. It will take additional studies to
examine the molecular mechanisms that underlie our findings.
The human African trypanosomiasis is a neglected tropical disease, which is caused by the protozoan Trypanosoma brucei and transmitted by the bite of the tsetse fly. An untreated infection leads to death. However, only a few drugs with significant drawbacks are currently available for treatment. In this thesis, quinolone amides with an antitrypanosomal activity were synthesized and their biological and physicochemical properties were measured. New structure-activity relationships and a promising lead structure were discovered.
This thesis aimed the development of a correlated device which combines FluidFM® with Fluorescence Microscopy (FL) (FL-FluidFM®) and enables the simultaneous quantification of adhesion forces and fluorescent visualization of mature cells. The implementation of a PIFOC was crucial to achieve a high-resolution as well as a stable but dynamic focus level. The functionality of SCFS after hardware modification was verified by comparing two force-curves, both showing the typical force progression and measured with the optimized and conventional hardware, respectively. Then, the integration of FL was examined by detaching fluorescently labeled REF52 cells. The fluorescence illumination of the cytoskeleton showed the expected characteristic force profile and no evidence of interference effects. Afterwards a corresponding correlative data analysis was addressed including manual force step fitting, the identification of visualized cellular unbinding, and a time-dependent correlation. This procedure revealed a link between the area of cytoskeletal unbinding and force-jumps. This was followed by a comparison of the detachment characteristics of intercellular connected HUVECs and individual REF52 cells. HUVECs showed maximum detachment forces in the same order of magnitude as the ones of single REF52 cells. This contrasted with the expected strong cohesiveness of endothelial cells and indicated a lack of cell-cell contact formation. The latter was confirmed by a comparison of HUVECs, primary HBMVECs, and immortalized EA.hy926 cells fluorescently labeled for two marker proteins of intercellular junctions. This unveiled that both the previous cultivation duration and the cell type have a major impact on the development of intercellular junctions. In summary, the correlative FL FluidFM® represents a powerful novel approach, which enables a truly contemporaneous performance and, thus, has the potential to reveal new insights into the mechanobiological properties of cell adhesion.
In this thesis, I establish new relations between quantum information measures in a two-dimensional CFT and geometric objects in a three-dimensional AdS space employing the AdS/CFT correspondence. I focus on two quantum information measures: the computational cost of quantum circuits in a CFT and Berry phases in two entangled CFTs. In particular, I show that these quantities are associated with geometric objects in the dual AdS space.
The human body has very good self-healing capabilities for numerous different injuries to a variety of different tissues. This includes the main human mechanical framework, the skeleton. The skeleton is limited in its healing without additional aid by medicine mostly by the defect size. When the defect reaches a size above 2.5 cm the regeneration of the defect ends up faulty. Here is where implants, defect fillers and other support approaches developed in medicine can help the body to heal the big defect still successfully.
Usually sturdy implants (auto-/allo-/xenogenic) are implanted in the defect to bridge the distance, but for auto- and allogenic implants a suitable donor site must be found and for all sources the implant needs to be shaped into the defect specific site to ensure a perfect fit, the best support and good healing. This shaping is very time consuming and prone to error, already in the planning phase. The use of a material that is moldable and sets in the desired shape shortly after applying negates these disadvantages. Cementitious materials offer exactly this property by being in a pasty stage after the powder and liquid components have been mixed and the subsequently hardening to a solid implant. These properties also enable the extrusion, and therefore may also enable the injection, of the cement via a syringe in a minimal invasive approach.
To enable a good injection of the cement modifications are necessary. This work aimed to modify commonly used calcium phosphate-based cement systems based on α-TCP (apatitic) and β-TCP (brushitic). These have been modified with sodium phytate and phytic acid, respectively. Additionally, the α-TCP system has been modified with sodium pyrophosphate, in a second study, to create a storable aqueous paste that can be activated once needed with a highly concentrated sodium orthophosphate solution.
The powder phase of the α-TCP cement system consisted of nine parts α-TCP and one part CDHA. These were prepared to have different particle sizes and therefore enable a better powder flowability through the bimodal size distribution. α-TCP had a main particle size of 20 μm and CDHA of 2.6 μm. The modification with sodium phytate led to an adsorption of phytate ions on the surface of the α-TCP particles, where they started to form complexes with the Ca2+ ions in the solution. This adsorption had two effects. The first was to make the calcium ions unavailable, preventing supersaturation and ultimately the precipitation of CDHA what would lead to the cement hardening. The second was the increase of the absolute value of the surface charge, zeta potential, of the powder in the cement paste. Here a decrease from +3 mV to -40 mV could be measured. A strong value for the zeta potential leads to a higher repulsion of similarly charged particles and therefore prevents powder agglomeration and clogging on the nozzle during injection. These two modifications (bimodal particles size distribution and phytic acid) lead to a significant increase in the paste injectability. The unmodified paste was injectable for 30 % only, where all modified pastes were practically fully injectable ~90 % (the residual paste remained in the nozzle, while the syringe plunger already reached the end of the syringe).
A very similar observation could be made for the β-TCP system. This system was modified with phytic acid. The zeta potential was decreased even stronger from -10 ± 1.5 mV to -71.5 ± 12 mV. The adsorption of the phytate ions and subsequent formation of chelate complexes with the newly dissolved Ca2+ ions also showed a retarding effect in the cements setting reaction. Where the unmodified cement was not measurable in the rheometer, as the reaction was faster than the measurement setup (~1.5 min), the modified cements showed a transition through the gel point between 3-6 min. This means the pastes stayed between 2 and 4 times longer viscous than without the modification. Like with the first cement system also here the effects of the phytate addition showed its beneficial influence in the injectability measurement. The unmodified cement was not injectable at all, due to the same issue already encountered at the rheology measurements, but all modified pastes were fully injectable for at least 5 min (lowest phytate concentration) and at least 10 min (all other concentrations) after the mixing of powder and liquid.
The main goal of the last modification with sodium pyrophosphate was to create a paste that was stable in aqueous environment without setting until the activation takes place, but it should still show good injectability as this was the desired way of application after activation. Like before also the zeta potential changed after the addition of pyrophosphate. It could be lowered from -22 ± 2mV down to -61 to -68 ± 4mV (depending on the pyrophosphate concentration). The pastes were stored in airtight containers at room temperature and checked for their phase composition over 14 days. The unmodified paste showed a beginning phase conversion to hydroxyapatite between 7 and 14 days. All other pastes were still stable and unreacted. The pastes were activated with a high concentrated (30 wt%) sodium orthophosphate solution. After the activation the pastes were checked for their injectability and showed an increase from -57 ± 11% for the unmodified paste to -89 ± 3% (practically fully injectable as described earlier) for the best modified paste (PP005).
It can be concluded that the goal of enabling full injection of conventional calcium phosphate bone cement systems was reached. Additional work produced a storage stable paste that still ensures full injectability. Subsequent work already used the storable paste and modified it with hyaluronic acid to create an ink for 3D extrusion printing. The first two cement systems have also already been investigated in cell culture for their influence on osteoblasts and osteoclasts. The next steps would have to go more into the direction of translation. Figuring out what properties still need to be checked and where the modification needs adjustment to enable a clinical use of the presented systems.
In all the projects presented, it is evident that the selection of suitable separation conditions is only one side of the coin. Equally crucial in the development of methods for the quality assessment of APIs/drugs is the right detection system.
The application of CAD as an alternative to UV detection at low wavelength of the two weak chromophore main degradation products of the very polar, zwitterionic API carbocisteine requires the volatility of the mobile phase. Therefore, as a substitute for the non-volatile ion pairing reagent tetrabutylammonium hydroxide (TBAOH), six different volatile alkylamines as well as a RP/SAX mixed-mode column were evaluated. The best selectivity and separation performance comparable to TBAOH was achieved with the RP/SAX column and a mixture of formic acid and trifluoroacetic acid. For the simultaneous optimisation of the evaporation temperature of the CAD as a function of two chromatographic parameters, a central composite design was chosen and the “desirability function” was subsequently applied for modelling. In addition, column bleeding was investigated with a second RP/SAX column (different batch) with the result that the acetonitrile percentage had to be adjusted and preconditioning by injection of concentrated samples is essential. The final mixed-mode method was finally validated with both columns according to the ICH Q2 (R1) guideline.
Based on this, an MS-compatible method was developed with little effort using an identical RP/SAX column in UPLC dimension for the untargeted analysis by HRMS of two carbocisteine-containing prototype syrup formulations. For a comprehensive characterisation, HRMS and MS/HRMS data were recorded simultaneously by information dependent acquisition mode. Based on the exact masses, isotope patterns and an in silico plausibility check of the fragment spectra, the prediction of the structures of the unknown impurities was possible. In both syrup samples, which had been stored for nine months at 40 °C and 75 % r.h., two additional impurities of carbocisteine (i.e. lactam of the sulfoxides and disulphide between cysteine and thioglycolic acid) were identified by comparison with the corresponding prototype placebo samples using general unknown comparative screening. In addition, the formation of Maillard products by binary mixtures with 13C-labelled sugars was revealed in the sucrose-containing formulation.
For the promising hyphenation of the UV detector with the CAD for the simultaneous detection of all UV-active impurities of the cholesterol-lowering drug simvastatin and the only weak chromophore dihydrosimvastatin, the Ph. Eur. method had to be adapted. Besides replacing phosphoric acid with trifluoroacetic acid, the gradient also had to be adjusted and a third critical peak pair was observed. Based on validation experiments (according to the ICH Q2 (R1) guideline), the suitability of the CAD for sensitive detection (LOQ = 0.0175 % m/m) was proven.
To further investigate the robustness of the adapted method and CAD, a Plackett-Burman design was chosen. None of the factors had a statistically significant effect on the S/N of the CAD in the ranges tested. Regarding the three critical peak pairs, on the other hand, the factors to be controlled were statistically established, so that a targeted correction is possible if the system suitability test is not passed. The idea of employing a hyphenated UV-CAD system was finally applied to the structurally closely related lovastatin and its specified impurity dihydrolovastatin. Here, the CAD showed a significantly better S/N compared to the compendial UV detection at 200 nm.
The suitability of CAD for the analysis of non-volatile fatty acids in polysorbate 80 (PS80) as favourable alternative to the Ph. Eur. GC method (no time-consuming, error-prone and toxic derivatisation) has already been demonstrated. The aim of this project was therefore to develop a robust method with a focus on the AQbD principles, which can be used for the analysis of other excipients with similar fatty acid composition. After the definition of the analytical target profile and a risk assessment by means of an Ishikawa diagram, a suitable C18 column and the chromatographic framework conditions (formic acid concentration and initial/final gradient conditions) were selected after only few preliminary runs. The remaining critical method parameters were then investigated with the help of DoE and RSM. Using the obtained model equations, Monte Carlo simulations were performed to create the method operable design region as a region of theoretical robustness. After validation according to ICH Q2 (R1), the fatty acid composition of a magnesium stearate batch was successfully analysed as a further application example in addition to PS80.
The CAD was able to prove its potential in all the issues investigated in the context of this doctoral thesis. As a cost-effective alternative compared to MS instruments, it thus closes a gap in the quality assessment of APIs or excipients without a suitable chromophore. The easy method transfer to (HR)MS instruments also allows for a unique degree of sample characterisation through untargeted approaches in case of new impurities. For resource- and time-efficient work, the possibilities and limitations of software tools for method development and data evaluation as well as the application of risk-based approaches such as AQbD should also be considered.
Mass spectrometry-based quantification of steroids for the diagnostic workup of adrenal tumors
(2023)
Tumors of the adrenal gland belong to the most frequent neoplasms in humans with a prevalence of 3–10 % in adults. The aim of the diagnostic workup is the identification of potentially hormone-secreting and / or malignant tumors, because most of these tumors will require surgical resection. Malignant adrenocortical carcinomas (ACC) are very rare and associated with a poor prognosis in advanced stages, therefore, an early and accurate diagnosis is crucial.
Within this thesis, two liquid chromatography tandem mass spectrometry (LC-MS/MS) methods for the quantification of steroids in different biomaterials were developed to improve the diagnostic workup of adrenal tumors.
First, an LC-MS/MS method for the simultaneous quantification of cortisol and dexamethasone in serum samples after dexamethasone suppression test (DST) was developed, validated, and applied to 400 clinical samples. Newly established method-specific threshold concentrations for cortisol and dexamethasone increased DST specificity from 67.5 % to 92.4 % while preserving 100 % sensitivity.
Second, an LC-MS/MS method for the quantification of eleven urinary steroids was developed and validated to improve the differentiation between ACC and adrenocortical adenomas (ACA). A decision tree requiring only two steroids was trained for classification and tested based on 24 h urine samples from 268 patients with adrenal tumor. Malignancy was excluded with a negative predictive value of 100 % in an independent validation cohort of 84 samples of 24-h urine. A newly proposed simplified diagnostic workflow with urinary steroid profiling as first tier test could obviate additional adrenal-specific imaging in 42 of 64 patients with ACA.
The new DST method is already in clinical use at the University Hospital Würzburg, whereas the classification model based on urinary steroid profiling will require prospective validation in a larger cohort.
While the healthy brain works through balanced synaptic communication between
glutamatergic and GABAergic neurons to coordinate excitation (E) and inhibition (I), disruption
of E/I balance interferes with synaptic communication, information processing, and ultimately
cognition. Multiple line of evidence indicates that E/I imbalance represents the
pathophysiological basis of a wide spectrum of mental disorders. Genetic screening
approaches have identified Cadherin-13 (CDH13). as a risk gene across neurodevelopmental
and mental disorders. CDH13 regulates several cellular and synaptic processes in brain
development and neuronal plasticity in adulthood. In addition to other functions, it is specifically
localized at inhibitory synapses of parvalbumin- and somatostatin-expressing GABAergic
neurons. In support of CDH13’s function in moderating E/I balance, electrophysiological
recordings of hippocampal slices in a CDH13-deficient mouse model revealed an increase in
basal inhibitory but not excitatory synaptic transmission. Moreover, the search for genetic
variants impacting functional expression of the CDH13 gene identified SNP (single nucleotide
polymorphism)) rs2199430 in intron 1 to be associated with differential mRNA concentrations
in human post-mortem brain across the three genotypes CDH13G/G, CDH13A/G and CDH13A/A
.
This work therefore aimed to further validate these findings in a complementary human model
by using induced pluripotent stem cells (iPSCs). The application of human iPSCs in research
has replaced the use of embryonic cells, resolving the ethical conflict of destructive usage of
human embryos. Investigating CDH13’s mode of action in inhibitory synapses was predicted
to facilitate mechanistic insight into the effects of CDH13 gene variants on E/I network activity,
which can then be targeted to reinstate balance.
Genome-wide association studies have identified rare copy number variants (CNVs) resulting
in a deletion (or duplication) of CDH13. To reduce genetic background variance, a set of
isogenic iPSC lines with a gene dose-dependent deficiency of CDH13 (CDH13-/- and CDH13+/-
) was generated by using the Clustered Regulatory Interspaced Short Palindromic
Repeats/CRISPR-associated protein 9 (CRISPR/Cas9) system. These CRISPRed iPSCs
carrying a single or two allele(s) with CDH13 inactivation facilitate investigation of CDH13
function in cellular processes, at inhibitory synapses and in neuronal network activity. In
addition, iPSCs carrying allelic SNP rs2199430 variants were used to study the effects of
common genetic variation of CDH13. These cell lines were differentiated into pure
glutamatergic and GABAergic neurons and co-cultured to generate neuronal networks allowing
its activity to be measured and correlated with electrophysiological signatures of differential
CDH13 genotypes. The work towards assessment of neuronal network activity of the iPSC
lines was subdivided into three major steps: first, generating rtTA/Ngn2 and rtTA/Ascl1-positive
iPSCs via a lentivirus-mediated approach; second, differentiating pure glutamatergic and
GABAergic neurons from the genetically transduced iPSCs and co-culturing of pure
glutamatergic and GABAergic neurons in a pre-established ratio (65:35) by direct
differentiation upon supplementation with doxycycline and forskolin on a microelectrode array
(MEA) chip; and, finally, recording of neuronal network activity of iPSC lines after 49 days in
vitro, followed by extraction and analyses of multiple MEA parameters.
x
Based on the MEA parameters, it was confirmed that complete CDH13 knockout as well as
heterozygous deficiency influence E/I balance by increasing inhibition. It was further revealed
that common SNP variation alters the signature of neuronal network activity. Specifically,
CDH13 deficiency resulted in a significant reduction in network burst duration (NBD), reduced
number of detected spikes within a network burst and reduction in network burst rate (NBR)
compared to the control (CDH13G/G). CDH13A/G and CDH13A/A showed similarities with the
CRISPRed CDH13-deficient networks by showing a significant reduction in the NBD and a
reduced number of detected spikes within a network compared to CDH13G/G. Strikingly. there
was a significant increase in the NBR of the CDH13A/G and CDH13A/A compared to CDH13G/G
networks. CDH13A/G networks exhibited significant differences in both parameters. At the
cellular level, this indicates that signalling pathways which determine the length and frequency
of network bursts differ among allelic variants of SNP rs2199430, thus confirming functional
relevance of this intronic SNP.
In summary, CDH13-deficient isogenic iPSC lines were generated using CRISPR/Cas9, iPSCs
were genetically transduced via a lentivirus approach, direct differentiation of
glutamatergic/GABAergic neurons derived from transduced iPSCs were used to establish a
scalable co-culture system, and network activity was recorded by MEA using pre-established
parameters to extract and analyze activity information. The results indicate that iPSC-derived
neuronal networks following CRISPR/Cas9-facilitated CDH13 inactivation, as well as networks
with allelic SNP variants of CDH13, moderate E/I balance, thus advancing understanding of
CDH13 function at inhibitory synapses and elucidating the effects of rare and common CDH13
gene variation.
Chapter I – Introduction
Global trade of beans of the cacao tree (Theobroma cacao), of which chocolate is produced, contributes to the livelihoods of millions of smallholder farmers. The understorey tree is native to South America but is nowadays cultivated in many tropical regions. In Peru, a South American country with a particularly high cacao diversity, it is common to find the tree cultivated alongside non-crop trees that provide shade, in so-called agroforestry systems. Because of the small scale and low management intensity of such systems, agroforestry is one of the most wildlife-friendly land-use types, harbouring the potential for species conservation. Studying wildlife-friendly land-use is of special importance for species conservation in biodiversity-rich tropical regions such as Peru, where agricultural expansion and intensification are threatening biodiversity. Moreover, there is a growing body of evidence that shows co-occurrence of high biodiversity levels and high yield in wildlife-friendly cacao farming. Yet studies are restricted to non-native cacao countries, and since patterns might be different among continents, it is important to improve knowledge on wildlife-friendly agroforestry in native countries.
Because studies of wildlife-friendly cultivation processes are still largely lacking for South America, we set out to study multiple aspects of cacao productivity in agroforests in Peru, part of cacao´s region of origin. The natural pollination process of cacao, which is critically understudied, was investigated by trapping flower visitors and studying pollen deposition from macrophotographs (Chapter II). Next, we excluded birds, bats, ants and flying insects and squirrels from cacao trees in a full-factorial field experiment and quantified these animals´ contribution to cacao fruit set, fruit loss and yield (Chapter III). Lastly, we aimed to assess whether fruit quantity and quality of native cacao increases through manually supplementing pollen (Chapter II and IV), and whether microclimatic conditions and the genetic background of the studied varieties limit fruit set (Chapter IV).
Chapter II – Cacao flower visitation: Low pollen deposition, low fruit set and dominance of herbivores
Given the importance of cacao pollination for the global chocolate production, it is remarkable that fruit set limitations are still understudied. Knowledge on flower visitation and the effect of landscape context and local management are lacking, especially in the crop’s region of origin. Moreover, the role of pollen deposition in limiting fruit set as well as the benefits of hand pollination in native cacao are unknown. In this chapter, we aimed to close the current knowledge gaps on cacao pollination biology and sampled flower visitors in 20 Peruvian agroforests with native cacao, along gradients of shade cover and forest distance. We also assessed pollen quantities and compared fruit set between manually and naturally pollinated flowers. We found that herbivores were the most abundant flower visitors in both northern and southern Peru, but we could not conclude which insects are effective cacao pollinators. Fruit set was remarkably low (2%) but improved to 7% due to pollen supplementation. Other factors such as a lack of effective pollinators, genetic pollen incompatibility or resource unavailability could be causing fruit set limitations. We conclude that revealing those causes and the effective pollinators of cacao will be key to improve pollination services in cacao.
Chapter III – Quantifying services and disservices provided by insects and vertebrates in cacao agroforestry landscapes
Pollination and pest control, two ecosystem services that support cacao yield, are provided by insects and vertebrates. However, animals also generate disservices, and their combined contribution is still unclear. Therefore, we excluded flying insects, ants, birds and bats, and as a side effect also squirrels from cacao trees and we assessed fruit set, fruit loss and final yield. Local management and landscape context can influence animal occurrence in cacao agroforestry landscapes; therefore, shade cover and forest distance were included in the analyses. Flying insects benefitted cacao fruit set, with largest gains in agroforests with intermediate shade cover. Birds and bats were also associated with improved fruit set rates and with a 114% increase in yield, potentially due to pest control services provided by these animals. The role of ants was complicated: these insects had a positive effect on yield, but only close to forest. We also evidenced disservices generated by ants and squirrels, causing 7% and 10% of harvest loss, respectively. Even though the benefits provided by animals outweighed the disservices, trade-offs between services and disservices still should be integrated in cacao agroforestry management.
Chapter IV – Cross-pollination improves fruit set and yield quality of Peruvian native cacao
Because yields of the cacao tree are restricted by pollination, hand pollination has been proposed to improve yield quantity and potentially, also quality. However, low self- and cross-compatibility of native cacao, and abiotic conditions could cancel out hand pollination benefits. Yet, the impact of genetic constraints and abiotic conditions on fruit set have not been assessed in native cacao so far. To increase our understanding of the factors that limit fruit set in native cacao, we compared manual self- and cross-pollination with five native genotypes selected for their sensorial quality and simultaneously tested for effects of soil water content, temperature, and relative air humidity. We also compared quality traits between manually and naturally pollinated fruits. Success rates of self-pollination were low (0.5%), but increased three- to eightfold due to cross-pollination, depending on the genotype of the pollen donor. Fruit set was also affected by the interaction between relative air humidity and temperature, and we found heavier and more premium seeds in fruits resulting from manual than natural pollination. Together, these findings show that reproductive traits of native cacao are constrained by genetic compatibility and abiotic conditions. We argue that because of the high costs of hand pollination, natural cross-pollination with native pollen donors should be promoted so that quality improvements can result in optimal economic gains for smallholder farmers.
Chapter V – Discussion
In this thesis, we demonstrated that the presence of flying insects, ants and vertebrates, local and landscape management practices, and pollen supplementation interactively affected cacao yield, at different stages of the development from flower to fruit. First, we showed that fruit set improved by intermediate shade levels and flower visitation by flying insects. Because the effective cacao pollinators remain unknown, we recommend shade cover management to safeguard fruit set rates. The importance of integrating trade-offs in wildlife-friendly management was highlighted by lower harvest losses due to ants and squirrels than the yield benefits provided by birds and bats. The maintenance of forest in the landscape might further promote occurrence of beneficial animals, because in proximity to forest, ants were positively associated with cacao yields. Therefore, an integrated wildlife-friendly farming approach in which shade cover is managed and forest is maintained or restored to optimize ecosystem service provision, while minimizing fruit loss, might benefit yields of native cacao. Finally, manual cross-pollination with native genotypes could be recommended, due to improved yield quantity and quality. However, large costs associated with hand pollination might cancel out these benefits. Instead, we argue that in an integrated management, natural cross-pollination should be promoted by employing compatible genotypes in order to improve yield quantity and quality of native cacao.
Ubiquitylation is a protein post translational modification, in which ubiquitin is covalently attached to target protein substrates resulting in diverse cellular outcomes. Besides ubiquitin, various ubiquitin-like proteins including FAT10 exist, which are also conjugated to target proteins. The underlying modification mechanisms are conserved. In the initial step, ubiquitin or a ubiquitin-like protein is thioester-linked to a catalytic cysteine in the E1activating enzyme in an ATP-dependent manner. The respective protein modifier is then transferred to an E2 conjugating enzyme in a transthioesterification reaction. Finally, an E3 ubiquitin ligase E3 catalyzes the covalent attachment of the protein modifier to a substrate. In the case of ubiquitin, multiple ubiquitin molecules can be attached to a substrate in the form of either linear or branched polyubiquitin chains but also as single ubiquitin modifications. Depending on the nature of the ubiquitin chain, the substrates are destined to various cellular processes such as their targeted destruction by the proteasome but also non-degradative outcomes may occur.
As stated above FAT10 is a ubiquitin-like protein modifier which typically targets proteins for proteasomal degradation. It consists of two ubiquitin-like domains and is mainly expressed in cells of the human immune system. The reported involvement of FAT10 modifications in cancers and other diseases has caught the attention of the scientific community as an inhibition of the FAT10ylation process may provide avenues for novel therapeutic approaches. UBA6 is the E1 activating enzyme that resides at the apex of the FAT10 proteasomal degradation pathway. UBA6 not only recognizes FAT10 but can also activate ubiquitin as efficiently as the ubiquitin specific E1 UBA1. The dual specificity of UBA6 may complicate the inhibition FAT10ylation since targeting the active site of UBA6 will also inhibit the UBA6-catalyzed ubiquitin activation. Therefore, it is important to understand the underlying principles for the dual specificity of UBA6 prior to the development of compounds interfering with FAT10ylation.
In this thesis important novel insights into the structure and function of UBA6 were derived by X-ray crystallography and biochemical methods. The first crystal structure of UBA6 reveals the multidomain architecture of this enzyme in atomic detail. The enzyme is composed of a rigid core including its active and inactive adenylation domains as well as a 4 helix bundle. Overall, the molecule adopts a “Y” shape architecture with the core at the base and the first and second catalytic half domains forming one arm of the “Y” and the ubiquitin fold domain constituting the other arm. While UBA6 shares the same domain architecture as UBA1, substantial differences were revealed by the crystal structure. In particular, the first catalytic half domain undergoes a significant shift to a position more distal from the core. This rigid body movement is assumed to generate room to accommodate the second ubiquitin-like domain of FAT10. Differences are also observed in a hydrophobic platform between the core and the first catalytic half domain and the adenylation active site in the core, which together from the binding sites for ubiquitin and FAT10. Site directed mutagenesis of key residues in these areas altered the UBA6-catalyzed activation of ubiquitin and FAT10. UBA6 variants were generated with the goal of trying to block the activation of FAT10 while still maintaining that of ubiquitin activation, in order to fully explain the dual specificity of UBA6. However, none of these mutations could block the activation of FAT10, while some of these UBA6 variants blocked ubiquitin activation. Preliminary inhibition assays with a group of E1 inhibitors belonging to the adenosyl sulfamate family demonstrated potent inhibition of FAT10ylation for two compounds. The dual specificity of UBA6 hence needs to be further examined by biochemical and structural methods. In particular, the structure of a complex between UBA6 and ubiquitin or FAT10 would provide key insights for further biochemical studies, ultimately allowing the targeted inhibition of the FAT10ylation machinery.
This thesis describes the synthesis and reactivity of bis-NHC ligated nickel(0)-complexes and their application in catalytic cyclization and borylation reactions of alkynes. The focus of the presented work lies on the investigation of the electronic and steric impact of different NHC ligands on the reactivity and catalytic activity of [Ni(NHC)2] complexes. Since d10 ML2 complexes play a decisive role for numerous catalytic reactions, such as the Suzuki-Miyaura cross-coupling, the first chapter provides an overview about the general properties of NHCs and the chemistry of NHC-ligated nickel complexes, their synthesis, characterization, reactivity, and application in catalysis.
After the discovery of three-dimensional topological insulators (TIs), such as tetradymite chalcogenides Bi$_2$Se$_3$, Bi$_2$Te$_3$ and Sb$_2$Te$_3$ – a new class of quantum materials characterized by their unique surface electronic properties – the solid state community got focused on topological states that are driven by strong electronic correlations and magnetism. An important material class is the magnetic TI (MTI) exhibiting the quantum anomalous Hall (QAH) effect, i.e. a dissipationless quantized edge-state transport in the absence of external magnetic field, originating from the interplay between ferromagnetism and a topologically non-trivial band structure. The unprecedented opportunities offered by these new exotic materials open a new avenue for the development of low-dissipation electronics, spintronics, and quantum computation. However, the major concern with QAH effect is its extremely low onset temperature, limiting its practical application. To resolve this problem, a comprehensive understanding of the microscopic origin of the underlying ferromagnetism is necessary.
V- and Cr-doped (Bi,Sb)$_2$Te$_3$ are the two prototypical systems that have been widely studied as realizations of the QAH state. Finding microscopic differences between the strongly correlated V and Cr impurities would help finding a relevant model of ferromagnetic coupling and eventually provide better control of the QAH effect in these systems. Therefore, this thesis first focuses on the V- and Cr-doped (Bi,Sb)$_2$Te$_3$ systems, to better understand these differences. Exploiting the unique capabilities of x-ray absorption spectroscopy and magnetic circular dichroism (XAS/XMCD), combined with advanced modeling based on multiplet ligand-field theory (MLFT), we provide a detailed microscopic insight into the local electronic and magnetic properties of these systems and determine microscopic parameters crucial for the comparison with theoretical models, which include the $d$-shell filling, spin and orbital magnetic moments. We find a strongly covalent ground state, dominated by the superposition of one and two Te-ligand-hole configurations, with a negligible contribution from a purely ionic 3+ configuration. Our findings indicate the importance of the Te $5p$ states for the ferromagnetism in (Bi, Sb)$_2$Te$_3$ and favor magnetic coupling mechanisms involving $pd$-exchange. Using state-of-the-art density functional theory (DFT) calculations in combination with XMCD and resonant photoelectron spectroscopy (resPES), we reveal the important role of the $3d$ impurity states in mediating magnetic exchange coupling. Our calculations illustrate that the kind and strength of the exchange coupling varies with the impurity $3d$-shell occupation. We find a weakening of ferromagnetic properties upon the increase of doping concentration, as well as with the substitution of Bi at the Sb site. Finally, we qualitatively describe the origin of the induced magnetic moments at the Te and Sb sites in the host lattice and discuss their role in mediating a robust ferromagnetism based on a $pd$-exchange interaction scenario. Our findings reveal important clues to designing higher $T_{\text{C}}$ MTIs.
Rare-earth ions typically exhibit larger magnetic moments than transition-metal ions and thus promise the opening of a wider exchange gap in the Dirac surface states of TIs, which is favorable for the realization of the high-temperature QAH effect. Therefore, we have further focused on Eu-doped Bi$_2$Te$_3$ and scrutinized whether the conditions for formation of a substantial gap in this system are present by combining spectroscopic and bulk characterization methods with theoretical calculations. For all studied Eu doping concentrations, our atomic multiplet analysis of the $M_{4,5}$ x-ray absorption and magnetic circular dichroism spectra reveals a Eu$^{2+}$ valence, unlike most other rare earth elements, and confirms a large magnetic moment. At temperatures below 10 K, bulk magnetometry indicates the onset of antiferromagnetic ordering. This is in good agreement with DFT results, which predict AFM interactions between the Eu impurities due to the direct overlap of the impurity wave functions. Our results support the notion of antiferromagnetism coexisting with topological surface states in rare-earth doped Bi$_2$Te$_3$ and corroborate the potential of such doping to result in an antiferromagnetic TI with exotic quantum properties.
The doping with impurities introduces disorder detrimental for the QAH effect, which may be avoided in stoichiometric, well-ordered magnetic compounds. In the last part of the thesis we have investigated the recently discovered intrinsic magnetic TI (IMTI) MnBi$_6$Te$_{10}$, where we have uncovered robust ferromagnetism with $T_{\text{C}} \approx 12$ K and connected its origin to the Mn/Bi intermixing. Our measurements reveal a magnetically intact surface with a large moment, and with FM properties similar to the bulk, which makes MnBi$_6$Te$_{10}$ a promising candidate for the QAH effect at elevated temperatures. Moreover, using an advanced ab initio MLFT approach we have determined the ground-state properties of Mn and revealed a predominant contribution of the $d^5$ configuration to the ground state, resulting in a $d$-shell electron occupation $n_d = 5.31$ and a large magnetic moment, in excellent agreement with our DFT calculations and the bulk magnetometry data. Our results together with first principle calculations based on the DFT-GGA$+U$, performed by our collaborators, suggest that carefully engineered intermixing plays a crucial role in achieving a robust long-range FM order and therefore could be the key for achieving enhanced QAH effect properties.
We expect our findings to aid better understanding of MTIs, which is essential to help increasing the temperature of the QAH effect, thus facilitating the realization of low-power electronics in the future.
The present thesis adress the synthesis and characterization of novel COFs that contain dye molecules as integral components of the organic backbone. These chromophore-containing frameworks open new research lines in the field and call for the exploration of applications such as catalysis, sensing, or in optoelectronic devices. Initially, the fabrication of organic-inorganic composites by the growth of DPP TAPP COF around functionalized iron oxide nanoparticles is reported. By varying the ratio between inorganic nanoparticles and organic COFs, optoelectronic properties of the materials are adjusted. The document also reports the synthesis of a novel boron dipyrromethene-containing (BODIPY) COF. Synthesis, full characterization and the scope of potential applications with a focus on environmental remediation are discussed in detail. Last, a novel diketopyrrolopyrrole-containing (DPP) DPP-Py-COF based on the combination of DDP and pyrene building blocks is presented. The very low bandgap of these materials and initial investigations on the photosensitizing properties are discussed.
Effect of Tjap1 knock-down on blood-brain barrier properties under normal and hypoxic conditions
(2023)
Stroke is one of the leading causes of mortality and disability worldwide. The blood-brain barrier (BBB) plays an important role in maintaining brain homeostasis by tightly regulating the exchange of substances between circulating blood and brain parenchyma. BBB disruption is a common pathologic feature of stroke and traumatic brain injury. Understanding the cellular and molecular events that affect the BBB after ischaemic brain injury is important to improve patient prognosis.
We have previously shown that microRNA-212/132 is elevated in hypoxic brain microvascular endothelial cells and acts through suppressing the expression of direct microRNA-212/132 target genes with function at the BBB: claudin-1, junctional adhesion molecule 3 (Jam3) and tight-junction associated protein 1 (Tjap1). While the role of claudin-1 and Jam3 at the BBB is well known, the role of Tjap1 is still unclear. The aim of this work was therefore to characterize the role of Tjap1 in brain endothelial cells using a knock-down (KD) approach in established murine in vitro BBB models cEND and cerebEND. Tjap1 KD was established by stable transfection of a plasmid expressing shRNA against Tjap1. The successful downregulation of Tjap1 mRNA and protein was demonstrated by qPCR and Western blot. Tjap1 KD resulted in impaired barrier properties of endothelial cells as shown by lower TEER values and higher paracellular permeability. Interestingly, the Tjap1 KD cells showed lower cell viability and proliferation but migrated faster in a wound healing assay. In the tube formation assay, Tjap1 KD cell lines showed a lower angiogenic potential due to a significantly lower tube length and number as well as a lower amount of branching points in formed capillaries. Tjap1 KD cells showed changes in gene and protein expression. The TJ proteins claudin-5, Jam3 and ZO-1 were significantly increased in Tjap1 KD cell lines, while occludin was strongly decreased. In addition, efflux pump P-glycoprotein was downregulated in Tjap1 KD cells. Oxygen-glucose deprivation (OGD) is a method to mimic stroke in vitro. Brain endothelial cell lines treated with OGD showed lower barrier properties compared to cells cultured under normal condition. These effects were more severe in Tjap1 KD cells, indicating active Tjap1 involvement in the OGD response in brain microvascular endothelial cells.
We thus have shown that Tjap1 contributes to a tight barrier of the BBB, regulates cell viability and proliferation of endothelial cells, suppresses their migration and promotes new vessel formation. This means that Tjap1 function is important for mature BBB structure in health and disease.
A plethora of novel material concepts are currently being investigated in the condensed matter research community. Some of them hold promise to shape our everyday world in a way that silicon-based semiconductor materials and the related development of semiconductor devices have done in the past. In this regard, the last decades have witnessed an explosion of studies concerned with so called ‘’quantum materials’’ with emerging novel functionalities. These could eventually lead to new generations of electronic and/or spintronic devices. One particular material class, the so called topological materials, play a central role. As far as their technological applicability is concerned, however, they are still facing outstanding challenges to date.
Predicted for the first time in 2005 and experimentally verified in 2007, two-dimensional topological insulators (2D TIs) (a.k.a. quantum spin Hall insulators) exhibit the outstanding property of hosting spin-polarized metallic states along the boundaries of the insulating 2D bulk material, which are protected from elastic single-particle backscattering and give rise to the quantum spin Hall effect (QSHE). Owing to these peculiar properties the QSHE holds promise for dissipationless charge and/or spin transport. However, also in today’s best 2D TIs the observation of the QSHE is still limited to cryogenic temperatures of maximum 100 K. Here, the discovery of bismuthene on SiC(0001) has marked a milestone towards a possible realization of the QSHE at or beyond room-temperature owing to the massively increased electronic bulk energy gap on the order of 1 eV. This thesis is devoted to and motivated by the goal of advancing its synthesis and to build a deeper understanding of its one-particle and two-particle electronic properties that goes beyond prior work.
Regarding the aspect of material synthesis, an improved growth procedure for bismuthene is elaborated that increases the domain size of the material considerably (by a factor of ≈ 3.2 - 6.5 compared to prior work). The improved film quality is an important step towards any future device application of bismuthene, but also facilitates all further basic studies of this material.
Moreover, the deposition of magnetic transition metals (Mn and Co) on bismuthene is investigated. Thereby, the formation of ordered magnetic Bi-Mn/Co alloys is realized, their structure is resolved with scanning tunneling microscopy (STM), and their pristine electronic properties are resolved with scanning tunneling spectroscopy (STS) and photoemission spectroscopy (PES). It is proposed that these ordered magnetic Bi-Mn/Co-alloys offer the potential to study the interplay between magnetism and topology in bismuthene in the future.
In this thesis, a wide variety of spectroscopic techniques are employed that aim to build an understanding of the single-particle, as well as two-particle level of description of bismuthene's electronic structure. The techniques involve STS and angle-resolved PES (ARPES) on the one hand, but also optical spectroscopy and time-resolved ARPES (trARPES), on the other hand. Moreover, these experiments are accompanied by advanced numerical modelling in form of GW and Bethe-Salpeter equation calculations provided by our theoretical colleagues. Notably, by merging many experimental and theoretical techniques, this work sets a benchmark for electronic structure investigations of 2D materials in general.
Based on the STS studies, electronic quasi-particle interferences in quasi-1D line defects in bismuthene that are reminiscent of Fabry-Pérot states are discovered. It is shown that they point to a hybridization of two pairs of helical boundary modes across the line defect, which is accompanied by a (partial) lifting of their topological protection against elastic single-particle backscattering.
Optical spectroscopy is used to reveal bismuthene's two-particle elecronic structure. Despite its monolayer thickness, a strong optical (two-particle) response due to enhanced electron-hole Coulomb interactions is observed. The presented combined experimental and theoretical approach (including GW and Bethe-Salpeter equation calculations) allows to conclude that two prominent optical transitions can be associated with excitonic transitions derived from the Rashba-split valence bands of bismuthene. On a broader scope this discovery might promote further experiments to elucidate links of excitonic and topological physics.
Finally, the excited conduction band states of bismuthene are mapped in energy and momentum space employing trARPES on bismuthene for the first time. The direct and indirect band gaps are succesfully extracted and the effect of excited charge carrier induced gap-renormalization is observed. In addition, an exceptionally fast excited charge carrier relaxation is identified which is explained by the presence of a quasi-metallic density of states from coupled topological boundary states of domain boundaries.
As central components of life, DNA and RNA encode the genetic information. However, RNA performs several functions that exceed the competences stated in the ‘central dogma of life‘. RNAs undergo extensive post-transcriptional processing like chemical modifications. Among all classes of RNA, tRNAs are the most extensively modified. Their modifications are chemically diverse and vary from simple methylations (e.g. m3C, m6A) to more complex residues, like isopentenyl group (e.g. i6A, hypermodifications: e.g. ms2i6A) or even amino acids (e.g. t6A). Depending on their location within the overall structure, modifications can have an impact on tRNA stability and structure, as well as affinity for the ribosome and translation efficiency and fidelity. Given the importance of tRNA modifications new tools are needed for their detection and to study their recognition by proteins and enzymatic transformations.
The chemical synthesis of these naturally occurring tRNA modifications as phosphoramidite building blocks is a prerequisite to incorporate the desired modification via solid-phase synthesis into oligonucleotides. With the help of the m3C, (ms2)i6A, and t6A oligonucleotides, the importance and impact of tRNA modifications was investigated in this thesis. To this end, the role of METTL8 as the methyltransferase responsible for the installation of the methyl group at C32 for mt-tRNAThr and mt-tRNASer(UCN) was resolved. Thereby, the respective adenosine modification on position 37 is essential for the effectiveness of the enzyme. Besides, by means of NMR analysis, CD spectroscopy, thermal denaturation experiments, and native page separation, the impact of m3C32 on the structure of the tRNA ASLs was shown. The modification appeared to fine-tune the tRNA structure to optimize mitochondrial translation. To investigate the regulation of the dynamic modification pathway of m3C, demethylation assays were performed with the modified tRNA-ASLs and the (α-KG)- and Fe(II)-dependent dioxygenase ALKBH1 and ALKHB3. A demethylation activity of ALKBH3 on the mt-tRNAs was observed, even though it has so far only been described as a cytoplasmic enzyme. Whether this is physiologically relevant and ALKBH3 present a mitochondrial localization needs further validation. In addition, ALKBH1 was confirmed to not be able to demethylate m3C on mt-tRNAs, but indications for a deprenylation and exonuclease activity were found. Furthermore, the aforementioned naturally occurring modifications were utilized to find analytical tools that can determine the modification levels by DNAzymes, which cleave RNA in the presence of a specific modification. Selective DNA enzymes for i6A, as well as the three cytidine isomers m3C, m4C, and m5C have been identified and characterized.
Besides the naturally occurring tRNA modifications, the investigation on artificially modified nucleosides is also part of this thesis. Nucleosides with specific properties for desired applications can be created by modifying the scaffold of native nucleosides.
During the pandemic, the potential of antiviral nucleoside analogues was highlighted for the treatment of the SARS-CoV-2 infection. For examinations of the potential drug-candidate Molnupiravir, the N4-hydroxycytidine phosphoramidite building block was synthesized and incorporated into several RNA oligonucleotides. A two-step model for the NHC-induced mutagenesis of SARS-CoV-2 was proposed based on RNA elongation, thermal denaturation, and cryo-EM experiments using the modified RNA strands with the recombinant SARS-CoV-2 RNA-dependent RNA polymerase. Two tautomeric forms of NHC enable base pairing with guanosine in the amino and with adenosine in the imino form, leading to error catastrophe after the incorporation into viral RNA. These findings were further corroborated by thermal melting curve analysis and NMR spectroscopy of the NHC-containing Dickerson Drew sequence. In conclusion, the anti-amino form in the NHC-G base pair was assigned by NMR analysis using a 15N-labeld NHC building block incorporated into the Dickerson Drew sequence.
This thesis also addressed the synthesis of a 7-deazaguanosine crosslinker with a masked aldehyde as a diol linker for investigations of DNA-protein interactions. The diol functional group can be unmasked to release the reactive aldehyde, which can specifically form a covalent bond with amino acids Lys or Arg within the protein complex condensin. The incorporation of the synthesized phosphoramidite and triphosphate building blocks were shown and the functionality of the PCR product containing the crosslinker was demonstrated by oxidation and the formation of a covalent bond with a fluorescein label.
The development of assays that detect changes in this methylation pattern of m6A could provide new insights into important biological processes. In the last project of this thesis, the influence of RNA methylation states on the structural properties of RNA was analyzed and a fluorescent nucleoside analog (8-vinyladenosine) as molecular tools for such assays was developed. Initial experiments with the fluorescent nucleoside analog N6-methyl-8-vinyladenosine (m6v8A) were performed and revealed a strong fluorescence enhancement of the free m6v8A nucleoside by the installation of the vinyl moiety at position 8.
Overall, this thesis contributes to various research topics regarding the application of naturally occurring and artificial nucleoside analogues. Starting with the chemical synthesis of RNA and DNA modifications, this thesis has unveiled several open questions regarding the dynamic (de-)methylation pathway of m3C and the mechanism of action of molnupiravir through in-depth analysis and provided the basis for further investigations of the protein complex condensin, and a new fluorescent nucleoside analog m6v8A.
Environmental issues have emerged especially since humans burned fossil fuels, which led to air pollution and climate change that harm the environment. These issues’ substantial consequences evoked strong efforts towards assessing the state of our environment.
Various environmental machine learning (ML) tasks aid these efforts. These tasks concern environmental data but are common ML tasks otherwise, i.e., datasets are split (training, validatition, test), hyperparameters are optimized on validation data, and test set metrics measure a model’s generalizability. This work focuses on the following environmental ML tasks: Regarding air pollution, land use regression (LUR) estimates air pollutant concentrations at locations where no measurements are available based on measured locations and each location’s land use (e.g., industry, streets). For LUR, this work uses data from London (modeled) and Zurich (measured). Concerning climate change, a common ML task is model output statistics (MOS), where a climate model’s output for a study area is altered to better fit Earth observations and provide more accurate climate data. This work uses the regional climate model (RCM) REMO and Earth observations from the E-OBS dataset for MOS. Another task regarding climate is grain size distribution interpolation where soil properties at locations without measurements are estimated based on the few measured locations. This can provide climate models with soil information, that is important for hydrology. For this task, data from Lower Franconia is used.
Such environmental ML tasks commonly have a number of properties: (i) geospatiality, i.e., their data refers to locations relative to the Earth’s surface. (ii) The environmental variables to estimate or predict are usually continuous. (iii) Data can be imbalanced due to relatively rare extreme events (e.g., extreme precipitation). (iv) Multiple related potential target variables can be available per location, since measurement devices often contain different sensors. (v) Labels are spatially often only sparsely available since conducting measurements at all locations of interest is usually infeasible. These properties present challenges but also opportunities when designing ML methods for such tasks.
In the past, environmental ML tasks have been tackled with conventional ML methods, such as linear regression or random forests (RFs). However, the field of ML has made tremendous leaps beyond these classic models through deep learning (DL). In DL, models use multiple layers of neurons, producing increasingly higher-level feature representations with growing layer depth. DL has made previously infeasible ML tasks feasible, improved the performance for many tasks in comparison to existing ML models significantly, and eliminated the need for manual feature engineering in some domains due to its ability to learn features from raw data. To harness these advantages for environmental domains it is promising to develop novel DL methods for environmental ML tasks.
This thesis presents methods for dealing with special challenges and exploiting opportunities inherent to environmental ML tasks in conjunction with DL. To this end, the proposed methods explore the following techniques: (i) Convolutions as in convolutional neural networks (CNNs) to exploit reoccurring spatial patterns in geospatial data. (ii) Posing the problems as regression tasks to estimate the continuous variables. (iii) Density-based weighting to improve estimation performance for rare and extreme events. (iv) Multi-task learning to make use of multiple related target variables. (v) Semi–supervised learning to cope with label sparsity. Using these techniques, this thesis considers four research questions: (i) Can air pollution be estimated without manual feature engineering? This is answered positively by the introduction of the CNN-based LUR model MapLUR as well as the off-the-shelf LUR solution OpenLUR. (ii) Can colocated pollution data improve spatial air pollution models? Multi-task learning for LUR is developed for this, showing potential for improvements with colocated data. (iii) Can DL models improve the quality of climate model outputs? The proposed DL climate MOS architecture ConvMOS demonstrates this. Additionally, semi-supervised training of multilayer perceptrons (MLPs) for grain size distribution interpolation is presented, which can provide improved input data. (iv) Can DL models be taught to better estimate climate extremes? To this end, density-based weighting for imbalanced regression (DenseLoss) is proposed and applied to the DL architecture ConvMOS, improving climate extremes estimation. These methods show how especially DL techniques can be developed for environmental ML tasks with their special characteristics in mind. This allows for better models than previously possible with conventional ML, leading to more accurate assessment and better understanding of the state of our environment.
Regulatory T cells (Tregs) are the masters of immune regulation controlling inflammation and tolerance, tissue repair and homeostasis. Multiple immunological diseases result from altered Treg frequencies and Treg dysfunction. We hypothesized that augmenting Treg function and numbers would prevent inflammatory disease whereas inhibiting or depleting Tregs would improve cancer immunotherapy.
In the first part of this thesis, we explored whether in vivo activation and expansion of Tregs would impair acute graft-versus-host disease (aGvHD). In this inflammatory disease, Tregs are highly pathophysiological relevant and their adoptive transfer proved beneficial on disease outcome in preclinical models and clinical studies. IL-2 has been recognized as a key cytokine for Treg function. Yet, attempts in translating Treg expansion via IL-2 have remained challenging, due to IL-2s extremely broad action on other cell types including effector T cells, NK cells, eosinophils and vascular leakage syndrome, and importantly, due to poor pharmacokinetics in vivo. We addressed the latter issue using an IL-2-IgG-fusion protein (irrIgG-IL-2) with improved serum retention and demonstrated profound Treg expansion in vivo in FoxP3-luciferase reporter mice. Further, we augmented Treg numbers and function via the selective-TNF based agonists of TNFR2 (STAR2). Subsequently, we tested a next-generation TNFR2 agonist, termed NewSTAR, which proved even more effective. TNFR2 stimulation augmented Treg numbers and function and was as good as or even superior to the IL-2 strategy. Finally, in a mouse model of aGvHD we proved the clinical relevance of Treg expansion and activation with irrIgG-IL-2, STAR2 and NewSTAR. Notably, the TNFR2 stimulating constructs were outstanding as we observed not the IL-2 prototypic effects on other cell populations and no severe side effects.
In the second part of this thesis, we explored Tregs in pancreatic ductal adenocarcinoma (PDAC) and developed targeting strategies. Among several tumor entities in which Tregs impact survival, preclinical and clinical data demonstrated their negative role on PDAC. In our studies we employed the orthotopic syngeneic Panc02 model in immunocompetent mice. Based on flow cytometric analysis of the tumor microenvironment we propose TIGIT and TNFRSF members as novel therapeutic targets. Surprisingly, we found that blocking TNFR2 did not interfere with intratumoral Treg accumulation. However, we decreased the highly abundant intratumoral Tregs when we disrupted the tumor extracellular matrix. In PDAC, Treg manipulation alone did not lead to tumor regression and we propose that an additional immune boost may be necessary for efficient tumor immune surveillance and cancer clearance. This contrasts with aGvHD, in which Treg manipulation alone was sufficient to improve disease outcome.
Conclusively, we demonstrated the enormous medical benefit of Treg manipulation. Our promising data obtained with our newly developed powerful tools highlight the potential to translate our findings into clinical practice to therapeutically target human Tregs in patients. With novel TNFR2 agonists (STAR2, NewSTAR) we augmented Treg numbers and function as (or even more) effectively than with IL-2, without causing adverse side effects. Importantly, exogenous in vivo Treg expansion protected mice from aGvHD. For the therapy of PDAC, we identified novel targets on Tregs, notably TIGIT and members of the TNFRSF. We demonstrated that altering the extracellular tumor matrix can efficiently disrupt the Treg abundance in tumors. These novel targeting strategies appear as attractive new treatment options and they may benefit patients suffering from inflammatory disease and cancer in the future.
Fabry disease (FD), an X-linked lysosomal storage disorder, is caused by variants in the gene α-galactosidase A (GLA). As a consequence, the encoded homonymous enzyme GLA is not produced in sufficient amount or does not function properly. Subsequently, globotriaosylceradmide (Gb3), the target substrate of GLA, starts accumulating in several cell types, especially neurons and endothelial cells. FD patients suffer from multiorgan symptoms including cardiomyopathy, nephropathy, stroke, and acral burning pain. It is suggested that the impact of pathological Gb3 accumulation, inflammatory and hypoxic processes, and vasculopathy are contributing to the specific FD pain phenotype. Thus, we investigated the role of inflammation, hypoxia, and vasculopathy on molecular level in dorsal root ganglia (DRG) of the GLA knockout (KO) mouse model. Further, we investigated pain-like characteristics of GLA KO mice at baseline (BS), after capsaicin administration, and after repeated enzyme replacement therapy (ERT) administration for a period of 1.5 years. Acquired data showed disturbances in immune response markers represented by downregulated inflammation-associated genes and lower numbers of CD206+ macrophages in DRG of GLA KO mice. Hypoxic mechanisms were active in DRG of GLA KO mice reflected by increased gene expression of hypoxia- and DNA damage-associated targets, higher numbers of hypoxia-inducible factor 1α-positive (HIF1α+) and carbonic anhydrase 9-positive (CA9+) neurons in DRG of GLA KO mice, and DRG neuronal HIF1α cytosolic-nuclear translocation in GLA KO mice. Vascularization in DRG of GLA KO mice was reduced including lower numbers of blood vessel branches and reduced total blood vessel length. Pain-like behavior of the GLA KO mouse model revealed no mechanical hypersensitivity at BS but age-dependent heat hyposensitivity, which developed also age-matched wild type (WT) mice. Capsaicin administration under isoflurane anesthesia did not elicit the development of nocifensive behavior in GLA KO mice after mechanical or heat stimulation. Repeated ERT administration did not show a clear effect in GLA KO mice in terms of restored heat hyposensitivity to BS paw withdrawal latencies. In summary, we demonstrated the impact of disturbed immune response markers, active hypoxic mechanisms, and reduced vascularization on molecular FD pathophysiology.
The holy grail of structural biology is to study a protein in situ, and this goal has been fast approaching since the resolution revolution and the achievement of atomic resolution. A cell's interior is not a dilute environment, and proteins have evolved to fold and function as needed in that environment; as such, an investigation of a cellular component should ideally include the full complexity of the cellular environment. Imaging whole cells in three dimensions using electron cryotomography is the best method to accomplish this goal, but it comes with a limitation on sample thickness and produces noisy data unamenable to direct analysis. This thesis establishes a novel workflow to systematically analyse whole-cell electron cryotomography data in three dimensions and to find and identify instances of protein complexes in the data to set up a determination of their structure and identity for success. Mycoplasma pneumoniae is a very small parasitic bacterium with fewer than 700 protein-coding genes, is thin enough and small enough to be imaged in large quantities by electron cryotomography, and can grow directly on the grids used for imaging, making it ideal for exploratory studies in structural proteomics. As part of the workflow, a methodology for training deep-learning-based particle-picking models is established.
As a proof of principle, a dataset of whole-cell Mycoplasma pneumoniae tomograms is used with this workflow to characterize a novel membrane-associated complex observed in the data. Ultimately, 25431 such particles are picked from 353 tomograms and refined to a density map with a resolution of 11 Å. Making good use of orthogonal datasets to filter search space and verify results, structures were predicted for candidate proteins and checked for suitable fit in the density map. In the end, with this approach, nine proteins were found to be part of the complex, which appears to be associated with chaperone activity and interact with translocon machinery.
Visual proteomics refers to the ultimate potential of in situ electron cryotomography: the comprehensive interpretation of tomograms. The workflow presented here is demonstrated to help in reaching that potential.
Cancer is one of the leading causes of death worldwide. The underlying tumorigenesis is driven by the accumulation of alterations in the genome, eventually disabling tumor suppressors and activating proto-oncogenes.
The MYC family of proto-oncogenes shows a strong deregulation in the majority of tumor entities. However, the exact mechanisms that contribute to MYC-driven oncogenesis remain largely unknown. Over the past decades, the influence of the MYC protein on transcription became increasingly apparent and was thoroughly investigated. Additionally, in recent years several publications provided evidence for so far unreported functions of MYC that are independent of a mere regulation of target genes. These findings suggest an additional role of MYC in the maintenance of genomic stability and this role is strengthened by key findings presented in this thesis.
In the first part, I present data revealing a pathway that allows MYC to couple transcription elongation and DNA double-strand break repair, preventing genomic instability of MYC-driven tumor cells. This pathway is driven by a rapid transfer of the PAF1 complex from MYC onto RNAPII, a process that is mediated by HUWE1. The transfer controls MYC-dependent transcription elongation and, simultaneously, the remodeling of chromatin structure by ubiquitylation of histone H2B. These regions of open chromatin favor not only elongation but also DNA double-strand break repair.
In the second part, I analyze the ability of MYC proteins to form multimeric structures in response to perturbation of transcription and replication. The process of multimerization is also referred to as phase transition. The observed multimeric structures are located proximal to stalled replication forks and recruit factors of the DNA-damage response and transcription termination machinery. Further, I identified the HUWE1-dependent ubiquitylation of MYC as an essential step in this phase transition. Cells lacking the ability to form multimers display genomic instability and ultimately undergo apoptosis in response to replication stress.
Both mechanisms present MYC as a stress resilience factor under conditions that are characterized by a high level of transcriptional and replicational stress. This increased resilience ensures oncogenic proliferation.
Therefore, targeting MYC’s ability to limit genomic instability by uncoupling transcription elongation and DNA repair or disrupting its ability to multimerize presents a therapeutic window in MYC-dependent tumors.
Respiratory infections are a significant health concern worldwide, and the airway epithelium plays a crucial role in regulating airway function and modulating inflammatory processes. However, most studies on respiratory infections have used cell lines or animal models, which may not accurately reflect native physiological conditions, especially regarding human pathogens. We generated human nasal mucosa (hNM) and tracheobronchial mucosa (hTM) models to address this issue using primary human airway epithelial cells and fibroblasts. We characterised these human airway tissue models (hAM) using high speed video microscopy, single cell RNA sequencing, immunofluorescence staining,
and ultrastructural analyses that revealed their complexity and cellular heterogeneity. We demonstrated that Bordetella pertussis virulence factor adenylate cyclase toxin (CyaA) elevated the intracellular production of cyclic adenosine monophosphate (cAMP) and secretion of interleukin (IL) 6, IL 8, and human beta defensin 2 (HBD2). In addition, we compared the responses of the tissue models from two different anatomical sites (the upper and lower respiratory mucosa) and are the first to report such differential susceptibility towards CyaA using 3D primary airway cell derivedmodels. The effect of toxin treatment on the epithelial barrier integrity of the tissue models was assessed by measuring the flux of fluorescein isothiocyanate (FITC)-conjugated dextran across the models. Though we observed a cell type specific response with respect to intracellular cAMP production and IL 6, IL 8, and HBD2 secretion in the models treated with CyaA on the apical side, the epithelial membrane barrier integrity was not compromised. In addition to toxin studies, using these characterised models, we established viral infection studies for Influenza A (IAV), Respiratory Syncytial Virus subtype B (RSV), and severe acute respiratory syndrome coronavirus 2. We visualised the morphological consequences of the viral infection using ultrastructural analysis
and immunofluorescence. We verified the effective infection in hAM by measuring the viral RNA using RTqPCR and detected elevated cytokine levels in response to infection using biochemical assays. In contrast to cell lines, studies on viral infection using hAM demonstrated that infected areas were localized to specific regions. This led to the formation of infection hotspots, which were more likely to occur when models derived from different donors were infected separately with all three viruses. IAV infected tissue models replicate the clinical findings of H1N1 infection, such as mucus
hypersecretion, cytokine release, and infection-associated epithelial cell damage.Finally, we paved the steps towards understanding the impact of IAV infection on disease models. We generated hTM from biopsies obtained from chronic obstructive pulmonary disease (COPD) patients. As a model to study the impact of COPD on respiratory infections, considering the increase in COPD cases in the past decade and the continued predicted increase in the future. We established the IAV infection
protocol to capture the early infection signatures in non-COPD and COPD conditions using scRNA-seq. We investigated the infection kinetics of IAV (H1N1-clinical isolate) in hTM and found that viruses were actively released approximately 24 hours post infection. The scRNA-seq data from the hTM derived from non-COPD and COPD patients, revealed lower levels of SCGB1A1 (club cell marker) gene expression in the COPD-control group compared to the non-COPD control group, consistent with previous clinical studies. Furthermore, we observed that IAV infection elevated SCGB1A1 gene expression especially in secretory cells of both the COPD and non COPD groups. This may imply the role of club cells as early responders during IAV infection providing epithelial repair, regeneration, and resistance to spread of infection. This is the first study to address the molecular diversity in COPD and non-COPD disease models infected with IAV investigating the early response (6 h) of specific cell types in the human lower airways towards infection using scRNA-seq. These findings
highlight the potential interplay between COPD, IAV infection, and altered vulnerability to other viral infections and respiratory illnesses making the hAM applicable for addressing more specific research questions and validating potential targets, such as SCGB1A1 targeted therapy for chronic lung diseases. Our findings demonstrate the potential of the hNM and hTM for investigating respiratory infections, innate immune responses, and trained immunity in non-immune cells. Our experiments show that hAM may represent a more accurate representation of the native physiological condition and improve our understanding of the disease mechanisms. Furthermore, these models promote non-animal research as they replicate clinical findings. We can further increase their complexity by incorporating dynamic flow systems and immune cells catered to the research question.
Predictability of threat is one of the key modulators of neural activity in fear and anxiety-related threat processes and there is a considerable number of studies focusing on the exact contribution of centromedial amygdala and Bed nucleus of stria terminalis (BNST) in animals as well as in humans. In this research field, some studies already investigated the differential involvement of both areas during temporally predictable and unpredictable threat processes in humans. However, these studies showed several limitations e.g. small sample size, no predictable threat conditions, no separation of anticipation and confrontation processes, which should be addressed in future studies. Furthermore, evidence for group-based inter-individual differences of amygdala and BNST activity during predictable and unpredictable threat processes have not been studied extensively.
Several studies suggest a relevant role of the amygdala and BNST activity in phobic processes in patients with specific phobia, but no study so far has investigated the exact contribution of centromedial amygdala (CM) and BNST during temporally predictable and unpredictable threat processes in specific phobia.
This thesis consisted of three studies and aimed to evaluate the exact contribution of CM and BNST during temporally predictable and unpredictable threat anticipation and confrontation with the use of an optimized functional magnetic resonance imaging (fMRI) paradigm, which aimed to solve methodological limitations of recent studies. Study 1 used a large sample of healthy participants who were grouped based on NPSR1 genotype, and study 2 and study 3 used a sample of patients with spider phobia. In sum, the results of all three studies indicated, that BNST is more relevant for anticipation processes as compared to the CM. Contrary, during the confrontation phase the CM displays a greater relevance for threat confrontation processes.
In recent years, various studies have investigated the extent to which treatment success can be predicted in patients with anxiety disorders based on pre-treatment fMRI activity. Therefore, this was investigated for the first time in study 3 in patients with spider phobia during temporally predictable and unpredictable threat processes. Results indicated that independent of temporal predictability lower anterior cingulate cortex (ACC) activity during threat anticipation and engaged BNST during threat confrontation might be benefitting factors for successful therapy response in spider phobia.
Companies are expected to act as international players and to use their capabilities to provide customized products and services quickly and efficiently. Today, consumers expect their requirements to be met within a short time and at a favorable price. Order-to-delivery lead time has steadily gained in importance for consumers. Furthermore, governments can use various emissions policies to force companies and customers to reduce their greenhouse gas emissions. This thesis investigates the influence of order-to-delivery lead time and different emission policies on the design of a supply chain. Within this work different supply chain design models are developed to examine these different influences. The first model incorporates lead times and total costs, and various emission policies are implemented to illustrate the trade-off between the different measures. The second model reflects the influence of order-to-delivery lead time sensitive consumers, and different emission policies are implemented to study their impacts. The analysis shows that the share of order-to-delivery lead time sensitive consumers has a significant impact on the design of a supply chain. Demand uncertainty and uncertainty in the design of different emission policies are investigated by developing an appropriate robust mathematical optimization model. Results show that especially uncertainties on the design of an emission policy can significantly impact the total cost of a supply chain. The effects of differently designed emission policies in various countries are investigated in the fourth model. The analyses highlight that both lead times and emission policies can strongly influence companies' offshoring and nearshoring strategies.
Beyond the four canonical nucleosides as primary building blocks of RNA, posttranscriptional modifications give rise to the epitranscriptome as a second layer of genetic information. In eukaryotic mRNA, the most abundant posttranscriptional modification is N6-methyladenosine (m6A), which is involved in the regulation of cellular processes. Throughout this thesis, the concept of atomic mutagenesis was employed to gain novel mechanistic insights into the substrate recognition by human m6A reader proteins as well as in the oxidative m6A demethylation by human demethylase enzymes. Non-natural m6A atomic mutants featuring distinct steric and electronic properties were synthesized and incorporated into RNA oligonucleotides. Fluorescence anisotropy measurements using these modified oligonucleotides revealed the impact of the atomic mutagenesis on the molecular recognition by the human m6A readers YTHDF2, YTHDC1 and YTHDC2 and allowed to draw conclusions about structural prerequisites for substrate recognition. Furthermore, substrate recognition and demethylation mechanism of the human m6A demethylase enzymes FTO and ALKBH5 were analyzed by HPLC-MS and PAGE-based assays using the modified oligonucleotides synthesized in this work.
Modified nucleosides not only expand the genetic alphabet, but are also extensively researched as drug candidates. In this thesis, the antiviral mechanism of the anti-SARS-CoV-2 drug remdesivir was investigated, which causes delayed stalling of the viral RNA-dependent RNA polymerase (RdRp). Novel remdesivir phosphoramidite building blocks were synthesized and used to construct defined RNA-RdRp complexes for subsequent studies by cryogenic electron microscopy (cryo-EM). It was found that the 1'-cyano substituent causes Rem to act as a steric barrier of RdRp translocation. Since this translocation barrier can eventually be overcome by the polymerase, novel derivatives of Rem with potentially improved antiviral properties were designed.
Even though exposure-based cognitive behavioral therapy (CBT) constitutes a first-line treatment for anxiety disorders, a substantial proportion of patients does not respond in a clinically significant manner. The identification of pre-treatment patient characteristics that are associated with treatment outcome might aid in improving response rates. Therefore, the present doctoral thesis aimed at investigating moderators of treatment outcome in anxiety disorders: first, we investigated the neural correlates of comorbidity among primary panic disorder/agoraphobia (PD/AG) and secondary social anxiety disorder (SAD) moderating treatment outcome towards exposure-based CBT. Second, pre-treatment functional resting-state connectivity signatures of treatment response in specific phobia were studied. Within the first study, we compared PD/AG patients with or without secondary SAD regarding their clinical and neurofunctional outcome towards a manualized CBT treatment focusing on PD/AG symptoms. Prior to treatment, PD/AG+SAD compared to PD/AG-SAD patients exhibited a specific neural signature within the temporal lobe, which was attenuated to the level of PD/AG-SAD patients afterwards. CBT was equally effective in both groups. Thus, comorbidity among those two anxiety disorders did not alter treatment outcome substantially. This might be due to the high overlap of shared pathophysiological features within both disorders. In the second study, we assessed pre-treatment functional resting-state connectivity within a sample of spider phobic patients that were treated with massed in virtuo exposure. We found responders already prior to treatment to be characterized by stronger inhibitory frontolimbic connectivity as well as heightened connectivity between the amygdala and regions related to the ventral visual stream. Furthermore, patients demonstrating high within-session extinction exhibited pronounced intrinsic prefrontal connectivity. Our results point to responders exhibiting a brain prepared for the mechanism of action of exposure. Taken together, results highlight the major impact of pre-treatment characteristics on treatment outcome. Both, PD/AG+SAD patients as well as responders within the SpiderVR study exhibited heightened activation or connectivity within the ventral visual pathway and the amygdala. Pronounced visual processing together with enhanced executive control and emotion regulation seem to constitute a fruitful soil for successful exposure. The results provide starting points for personalized treatment approaches in order to improve treatment success in the anxiety disorders. Future studies are needed to investigate the benefit of neuroscientifically informed CBT augmentation strategies such as repetitive transcranial magnetic stimulation.
Relativistic effects crucially influence the fundamental properties of many quantum materials. In the accelerated reference frame of an electron, the electric field of the nuclei is transformed into a magnetic field that couples to the electron spin. The resulting interaction between an electron spin and its orbital angular momentum, known as spin-orbit coupling (SOC), is hence fundamental to the physics of many condensed matter phenomena. It is particularly important quantitatively in low-dimensional quantum systems, where its coexistence with inversion symmetry breaking can lead to a splitting of spin degeneracy and spin momentum locking. Using the paradigm of Landau Fermi liquid theory, the physics of SOC can be adequately incorporated in an effective single particle picture. In a weak coupling approach, electronic correlation effects beyond single particle propagator renormalization can trigger Fermi surface instabilities such as itinerant magnetism, electron nematic phases, superconductivity, or other symmetry broken states of matter.
In this thesis, we use a weak coupling-based approach to study the effect of SOC on Fermi surface instabilities and, in particular, superconductivity. This encompasses a weak coupling renormalization group formulation of unconventional superconductivity as well as the random phase approximation. We propose a unified formulation for both of these two-particle Green’s function approaches based on the notion of a generalized susceptibility.
In the half-Heusler semimetal and superconductor LuPtBi, both SOC and electronic correlation
effects are prominent, and thus indispensable for any concise theoretical description. The metallic and weakly dispersive surface states of this material feature spin momentum locked Fermi surfaces, which we propose as a possible domain for the onset of unconventional surface superconductivity. Using our framework for the analysis of Fermi surface instability and combining it with ab-initio density functional theory calculations, we analyse the surface band structure of LuPtBi, and particularly its propensity towards Cooper pair formation. We study how the presence of strong SOC modifies the classification of two-electron wave functions as well as the screening of electron-electron interactions. Assuming an electronic mechanism, we identify a chiral superconducting condensate featuring Majorana edge modes to be energetically favoured over a wide range of model parameters.
Emotional-associative learning processes such as fear conditioning and extinction are highly relevant to not only the development and maintenance of anxiety disorders (ADs), but also to their treatment. Extinction, as the laboratory analogue to behavioral exposure, is assumed a core process underlying the treatment of ADs. Although exposure-based treatments are highly effective for the average patient suffering from an AD, there remains a gap in treatment efficacy with over one third of patients failing to achieve clinically significant symptom relief. There is ergo a pressing need for intensified research regarding the underlying neural mechanisms of aberrant emotional-associative learning processes and the neurobiological moderators of treatment (non-)response in ADs.
The current thesis focuses on different applications of the fundamental principles of fear conditioning and extinction by using two example cases of ADs from two different multicenter trials. First, we targeted alterations in fear acquisition, extinction, and its recall as a function of psychopathology in panic disorder (PD) patients compared to healthy subjects using fMRI. Second, exposure-based therapy and pre-treatment patient characteristics exerting a moderating influence on this essential learning process later on (i.e. treatment outcome) were examined using multimodal functional and structural neuroimaging in spider phobia.
We observed aberrations in emotional-associative learning processes in PD patients compared to healthy subjects indicated by an accelerated fear acquisition and an attenuated extinction recall. Furthermore, pre-treatment differences related to defensive, regulatory, attentional, and perceptual processes may exert a moderating influence on treatment outcome to behavioral exposure in spider phobia. Although the current results need further replication, on an integrative meta level, results point to a hyperactive defensive network system and deficient emotion regulation processes (including extinction processes) and top-down control in ADs. This speaks in favor of transdiagnostic deficits in important functional domains in ADs.
Deficits in transdiagnostic domains such as emotion regulation processes could be targeted by enhancing extinction learning or by means of promising tools like neurofeedback. The detection of pre-treatment clinical response moderators, for instance via machine learning frameworks, may help in supporting clinical decision making on individually tailored treatment approaches or, respectively, to avoid ineffective treatment and its related financial costs. In the long run, the identification of neurobiological markers which are capable of detecting non-responders a priori represents an ultimate goal.
Cellular growth and proliferation are among the most important processes for cells and
organisms. One of the major determinants of these processes is the amount of proteins
and consequently also the amount of ribosomes. Their synthesis involves several hundred
proteins and four different ribosomal RNA species, is highly coordinated and very
energy-demanding. However, the molecular mechanims of transcriptional regulation of
the protein-coding genes involved, is only poorly understood in mammals.
In this thesis, unbiased genome-wide knockout reporter screens were performed, aiming
to identify previously unknown transcriptional regulators of ribosome biogenesis
factors (RiBis), which are important for the assembly and maturation of ribosomes,
and ribosomal proteins (RPs), which are ribosomal components themself. With that
approach and follow-up (validation) experiments, ALDOA and RBM8A among others,
could be identified as regulators of ribosome biogenesis.
Depletion of the glycolytic enzyme ALDOA led to a downregulation of RiBi- and RPpromoter
driven reporters on protein and transcript level, as well as to a downregulation
of ribosome biogenesis gene transcripts and of mRNAs of other genes important for
proliferation.
Reducing the amount of the exon junction complex protein RBM8A, led to a more prominent
downregulation of one of the fluorescent reporters, but this regulation was independent
of the promoter driving the expression of the reporter. However, acute protein
depletion experiments in combination with nascent RNA sequencing (4sU-Seq)
revealed, that mainly cytosolic ribosomal proteins (CRPs) were downregulated upon
acute RBM8A withdrawal. ChIP experiments showed RBM8A binding to promoters of
RP genes, but also to other chromatin regions. Total POL II or elongating and initiating
POL II levels were not altered upon acute RBM8A depletion.
These data provide a starting point for further research on the mechanisms of transcriptional
regulation of RP and RiBi genes in mammals.
Studies on the role of cytoskeletal-regulatory and -crosslinking proteins in platelet function
(2023)
Cytoskeletal reorganization in platelets is highly regulated and important for proper platelet function during activation and aggregation at sites of vascular injury. In this thesis, the role of three different cytoskeletal-regulatory and -crosslinking proteins was studied in platelet physiology using megakaryocyte- and platelet-specific knockout mice. The generation of branched actin filaments is regulated by nucleation promoting factors (NPF) and the Arp2/3 complex.
(1.) The WAVE complex is a NPF, which upregulates the Arp2/3 complex activity at the plasma membrane. As shown in this thesis, the loss of the WAVE complex subunit Cyfip1 in mice did not alter platelet production and had only a minor impact on platelet activation. However, Cyfip1 played an essential role for branching of actin filaments and consequently for lamellipodia formation in vitro. The importance of lamellipodia for thrombus formation and stability has been controversially discussed. Cyfip1-deficient platelets were able to form a stable thrombus ex vivo and in vivo and a hemostatic plug comparable to controls. Moreover, Cyfip1-deficient mice maintained vascular integrity at the site of inflammation. These data show that platelet lamellipodia formation is not required for hemostatic function and pathophysiological thrombus formation.
(2.) The WASH complex is another NPF, which mediates actin filament polymerization on endosomal vesicles via the Arp2/3 complex. Loss of the WASH complex subunit Strumpellin led to a decreased protein abundance of the WASH protein and to a 20% reduction in integrin αIIbβ3 surface expression on platelets and megakaryocytes, whereas the expression of other surface receptors as well as the platelet count, size, ex vivo thrombus formation and bleeding time remained unaltered. These data point to a distinct role of Strumpellin in maintaining integrin αIIbβ3 expression and provide new insights into regulatory mechanisms of platelet integrins.
(3.) MACF1 has been described as a cytoskeletal crosslinker of microtubules and F-actin. However, MACF1-deficient mice displayed no alterations in platelet production, activation, thrombus formation and hemostatic function. Further, no compensatory up- or downregulation of other proteins could be found that contain an F-actin- and a microtubule-binding domain. These data indicate that MACF1 is dispensable for platelet biogenesis, activation and thrombus formation. Nevertheless, functional redundancy among different proteins mediating the cytoskeletal crosstalk may exist.
Plexus injury often occurs after motor vehicle accidents and results in lifelong disability with severe neuropathic pain. Surgical treatment can partially restore motor functions, but sensory loss and neuropathic pain persist. Regenerative medicine concepts, such as cell replacement therapies for restoring dorsal root ganglia (DRG) function, set high expectations. However, up to now, it is unclear which DRG cell types are affected by nerve injury and can be targeted in regenerative medicine approaches.
This study followed the hypothesis that satellite glial cells (SGCs) might be a suitable endogenous cell source for regenerative medicine concepts in the DRG. SGCs originate from the same neural crest-derived cell lineage as sensory neurons, making them attractive for neural repair strategies in the peripheral nervous system. Our hypothesis was investigated on three levels of experimentation. First, we asked whether adult SGCs have the potential of sensory neuron precursors and can be reprogrammed into sensory neurons in vitro. We found that adult mouse DRG harbor SGC-like cells that can still dedifferentiate into progenitor-like cells. Surprisingly, expression of the early developmental transcription factors Neurog1 and Neurog2 was sufficient to induce neuronal and glial cell phenotypes. In the presence of nerve growth factor, induced neurons developed a nociceptor-like phenotype expressing functional nociceptor markers, such as the ion channels TrpA1, TrpV1 and NaV1.9. In a second set of experiments, we used a rat model for peripheral nerve injury to look for changes in the DRG cell composition. Using an unbiased deep learning-based approach for cell analysis, we found that cellular plasticity responses after nerve injury activate SGCs in the whole DRG. However, neither injury-induced neuronal death nor gliosis was observed. Finally, we asked whether a severe nerve injury changed the cell composition in the human DRG. For this, a cohort of 13 patients with brachial plexus injury was investigated. Surprisingly, in about half of all patients, the injury-affected DRG showed no characteristic DRG tissue. The complete entity of neurons, satellite cells, and axons was lost and fully replaced by mesodermal/connective tissue. In the other half of the patients, the basic cellular entity of the DRG was well preserved. Objective deep learning-based analysis of large-scale bioimages of the “intact” DRG showed no loss of neurons and no signs of gliosis.
This study suggests that concepts for regenerative medicine for restoring DRG function need at least two translational research directions: reafferentation of existing DRG units or full replacement of the entire multicellular DRG structure. For DRG replacement, SGCs of the adult DRG are an attractive endogenous cell source, as the multicellular DRG units could possibly be rebuilt by transdifferentiating neural crest-derived sensory progenitor cells into peripheral sensory neurons and glial cells using Neurog1 and Neurog2.
In this in-vitro study, teeth were imaged using photoacoustic tomography (PAT), cone-beam computed tomography (CBCT), and micro-computed tomography (µ-CT). The study had aim: to identify the best wavelength for PAT images to determine the accuracy of the three imaging methods, and to determine whether PAT images of teeth can achieve acceptable reconstruction quality.
A closer look at long-established drugs: enantioselective protein binding and stability studies
(2023)
The aim of this work was to investigate older, established drugs. The extent of the protein binding of chiral ephedra alkaloids to AGP and of ketamine to albumin was determined. Since enantiomers of these drugs are individual available, the focus was on possible enantioselective binding and structural moieties involved in the binding.
Previously published work suggested that ephedrine and pseudoephedrine can bind stereoselectively to proteins other than albumin in serum. For the determination of the extent of protein binding, the established ultrafiltration with subsequent chiral CE analysis was used. To determine the influence of basicity on binding, the drugs methylephedrine and norephedrine were also analyzed. Drug binding to AGP increased with increasing basicity as follows: norephedrine < methylephedrine < ephedrine < pseudoephedrine. pKaff was determined both graphically using the Klotz plot and mathematical indicating a low affinity of the ephedra alkaloids to AGP. Using STD-NMR spectroscopy experiments the aromatic protons and the C-CH3 side chain were shown to be most strongly involved in binding, which could be confirmed by molecular docking experiments in more detail. For all drugs, van der Waals-, π π , cationic interactions, hydrogen bonds, and a formation of a salt bridge were observed. The individual enantiomers showed no significant differences and thus the binding of ephedra alkaloids to AGP is not significant.
In contrast to the ephedra alkaloids, the possible enantioselective binding to albumin was investigated for R and S ketamine. Again, ultrafiltration followed by CE analysis was performed. The binding of ketamine to one main binding site could be identified. A non-linear fit was used for the determination of pKaff. Using the NMR methods STD-NMR, waterLOGSY-NMR, and CPMG-NMRspectroscopy: the aromatic protons as well as the protons of the NCH3 methyl group showed the largest signal intensity changes, while the cyclohexanone protons showed the smallest changes. pKaff was also determined by the change in the chemical shift at different drug-protein ratios. These obtained values confirm the values obtained from ultrafiltration. Based on this, ketamine is classified as a low-affinity ligand to albumin. There were no significant differences between the individual enantiomers and thus the binding of ketamine to albumin is not a stereoselective process.
Using statistical design of experiments an efficient chiral CE method for determining the extent of protein binding of R and S ketamine to albumin was developed and validated according to ICH Q2 (R1) guideline.
The stability of ketamine was also investigated because a yellowish discoloration of an aqueous solution of ketamine developed under heat. XRPD investigations showed the same crystal structure for all batches examined. An untargeted screening using LC HRMS as well as LC UV measurements showed no degradation of ketamine or the presence of impurities in stress and non-stressed ketamine solutions, confirming the stability of ketamine under the stress conditions investigated. The lower the quality of the water used in the stress tests, the more intense the yellow discoloration occurred. The impurity or the mechanism that causes the yellow discoloration could not be identified.
The behavior of honeybees and bumblebees relies on a constant sensory integration of abiotic or biotic stimuli. As eusocial insects, a sophisticated intraspecific communication as well as the processing of multisensory cues during foraging is of utter importance. To tackle the arising challenges, both honeybees and bumblebees have evolved a sophisticated olfactory and visual processing system.
In both organisms, olfactory reception starts at the antennae, where olfactory sensilla cover the antennal surface in a sex-specific manner. These sensilla house olfactory receptor neurons (ORN) that express olfactory receptors. ORNs send their axons via four tracts to the antennal lobe (AL), the prime olfactory processing center in the bee brain. Here, ORNs specifically innervate spheroidal structures, so-called glomeruli, in which they form synapses with local interneurons and projection neurons (PN). PNs subsequently project the olfactory information via two distinct tracts, the medial and the lateral antennal-lobe tract, to the mushroom body (MB), the main center of sensory integration and memory formation. In the honeybee calyx, the sensory input region of the MB, PNs synapse on Kenyon cells (KC), the principal neuron type of the MB. Olfactory PNs mainly innervate the lip and basal ring layer of the calyx. In addition, the basal ring receives input from visual PNs, making it the first site of integration of visual and olfactory information. Visual PNs, carrying sensory information from the optic lobes, send their terminals not only to the to the basal ring compartment but also to the collar of the calyx. Receiving olfactory or visual input, KCs send their axons along the MB peduncle and terminate in the main output regions of the MB, the medial and the vertical lobe (VL) in a layer-specific manner. In the MB lobes, KCs synapse onto mushroom body output neurons (MBON). In so far barely understood processes, multimodal information is integrated by the MBONs and then relayed further into the protocerebral lobes, the contralateral brain hemisphere, or the central brain among others.
This dissertation comprises a dichotomous structure that (i) aims to gain more insight into the olfactory processing in bumblebees and (ii) sets out to broaden our understanding of visual processing in honeybee MBONs.
The first manuscript examines the olfactory processing of Bombus terrestris and specifically investigates sex-specific differences. We used behavioral (absolute conditioning) and electrophysiological approaches to elaborate the processing of ecologically relevant odors (components of plant odors and pheromones) at three distinct levels, in the periphery, in the AL and during olfactory conditioning. We found both sexes to form robust memories after absolute conditioning and to generalize towards the carbon chain length of the presented odors. On the contrary, electroantennographic (EAG) activity showed distinct stimulus and sex-specific activity, e.g. reduced activity towards citronellol in drones. Interestingly, extracellular multi-unit recordings in the AL confirmed stimulus and sex-specific differences in olfactory processing, but did not reflect the differences previously found in the EAG. Here, farnesol and 2,3-dihydrofarnesol, components of sex-specific pheromones, show a distinct representation, especially in workers, corroborating the results of a previous study. This explicitly different representation suggests that the peripheral stimulus representation is an imperfect indication for neuronal representation in high-order neuropils and ecological importance of a specific odor.
The second manuscript investigates MBONs in honeybees to gain more insights into visual processing in the VL. Honeybee MBONs can be categorized into visually responsive, olfactory responsive and multimodal. To clarify which visual features are represented at this high-order integration center, we used extracellular multi-unit recordings in combination with visual and olfactory stimulation. We show for the first time that information about brightness and wavelength is preserved in the VL. Furthermore, we defined three specific classes of visual MBONs that distinctly encode the intensity, identity or simply the onset of a stimulus. The identity-subgroup exhibits a specific tuning towards UV light. These results support the view of the MB as the center of multimodal integration that categorizes sensory input and subsequently channels this information into specific MBON populations.
Finally, I discuss differences between the peripheral representations of stimuli and their distinct processing in high-order neuropils. The unique activity of farnesol in manuscript 1 or the representation of UV light in manuscript 2 suggest that the peripheral representation of a stimulus is insufficient as a sole indicator for its neural activity in subsequent neuropils or its putative behavioral importance. In addition, I discuss the influence of hard-wired concepts or plasticity induced changes in the sensory pathways on the processing of such key stimuli in the peripheral reception as well as in high-order centers like the AL or the MB. The MB as the center of multisensory integration has been broadly examined for its olfactory processing capabilities and receives increasing interest about its visual coding properties. To further unravel its role of sensory integration and to include neglected modalities, future studies need to combine additional approaches and gain more insights on the multimodal aspects in both the input and output region.
Bone morphogenetic proteins (BMPs) are involved in various aspects of cell-cell communication in complex life forms. They act as morphogens, help differentiate different cell types from different progenitor cells in development, and are involved in many instances of intercellular communication, from forming a body axis to healing bone fractures, from sugar metabolism to angiogenesis. If the same protein or protein family carries out many functions, there is a demand to regulate and fine-tune their biological activities, and BMPs are highly regulated to generate cell- and context-dependent outcomes.
Not all such instances can be explained yet. Growth/differentiation factor (GDF)5 (or BMP14) synergizes with BMP2 on chondrogenic ATDC5 cells, but antagonizes BMP2 on myoblastic C2C12 cells. Known regulators of BMP2/GDF5 signal transduction failed to explain this context-dependent difference, so a microarray was performed to identify new, cell-specific regulatory components. One identified candidate, the fibroblast growth factor receptor (FGFR)2, was analyzed as a potential new co-receptor to BMP ligands such as GDF5: It was shown that FGFR2 directly binds BMP2, GDF5, and other BMP ligands in vitro, and FGFR2 was able to positively influence BMP2/GDF5-mediated signaling outcome in cell-based assays. This effect was independent of FGFR2s kinase activity, and independent of the downstream mediators SMAD1/5/8, p42/p44, Akt, and p38. The elevated colocalization of BMP receptor type IA and FGFR2 in the presence of BMP2 or GDF5 suggests a signaling complex containing both receptors, akin to other known co-receptors of BMP ligands such as repulsive guidance molecules.
This unexpected direct interaction between FGF receptor and BMP ligands potentially opens a new category of BMP signal transduction regulation, as FGFR2 is the second receptor tyrosine kinase to be identified as BMP co-receptor, and more may follow. The integration of cell surface interactions between members of the FGF and BMP family especially may widen the knowledge of such cellular communication mechanisms which involve both growth factor families, including morphogen gradients and osteogenesis, and may in consequence help to improve treatment options in osteochodnral diseases.
The bile system in vertebrates is an evolutionary conserved endogenous solubilization system for hydrophobic fats and poorly water-soluble vitamins. Bile pours out from the gallbladder through the common bile duct into the duodenum triggered by cholecystokinin. Cholecystokinin is released from enteroendocrine cells after food intake. The small intestine is also the absorption site of many orally administered drugs. Most emerging drug candidates belong to the class of poorly water-soluble drugs (PWSDs). Like hydrophobic vitamins, these PWSDs might as well be solubilized by bile. Therefore, this natural system is of high interest for drug formulation strategies. Simulated intestinal fluids containing bile salts (e.g., taurocholate TC) and phospholipids (e.g., lecithin L) have been widely applied over the last decade to approximate the behavior of PWSDs in the intestine. Solubilization by bile can enhance the oral absorption of PWSDs being at least in part responsible for the positive “food effect”. The dissolution rate of PWSDs can be also enhanced by the presence of bile. Furthermore, some PWSDs profit from supersaturation stabilization by bile salts. Some excipients solubilizing PWSDs seemed to be promising candidates for drug formulation when investigated in vitro without bile. When tested in vivo, these excipients reduced the bioavailability of drugs. However, these observations have been hardly examined on a molecular level and general links between bile interaction in vitro and bioavailability are still missing.
This thesis investigated the interplay of bile, PWSDs, and excipients on a molecular level, providing formulation scientists a blueprint for rational formulation design taking bile/PWSD/excipient/ interaction into account. The first chapter focus on an in silico 1H nuclear magnetic resonance (NMR) spectroscopy-based algorithm for bile/drug interaction prediction. Chapter II to IV report the impact of excipients on bioavailability of PWSDs interacting with bile. At last, we summarized helpful in vitro methods for drug formulation excipient choice harnessing biopharmaceutic solubilization in chapter V.
Chapter I applies 1H NMR studies with bile and drugs on a large scale for quantitative structure-property relationship analysis. 141 drugs were tested in simulated intestinal media by 1H NMR. Drug aryl-proton signal shifts were correlated to in silico calculated molecular 2D descriptors. The probability of a drug interacting with bile was dependent on its polarizability and lipophilicity, whereas interaction with lipids in simulated intestinal media components was dependent on molecular symmetry, lipophilicity, hydrogen bond acceptor capability, and aromaticity. The probability of a drug to interact with bile was predictive for a positive food effect. This algorithm might help in the future to identify a bile and lipid interacting drug a priori.
Chapter II investigates the impact of excipients on bile and free drug fraction. Three different interaction patterns for excipients were observed. The first pattern defined excipients that interacted with bile and irreversibly bound bile. Therefore, the free drug fraction of bile interacting drugs increased. The second pattern categorized excipients that formed new colloidal entities with bile which had a high affinity to bile interacting drugs. These colloids trapped the drug and decreased the free drug fraction. The last excipient pattern described excipients that formed supramolecular structures in coexistence with bile and had no impact on the free drug fraction. These effects were only observed for drugs interacting with bile (Perphenazine and Imatinib). Metoprolol’s free drug fraction, a compound not interacting with bile, was unaffected by bile or bile/excipient interaction. We hypothesized that bile/excipient interactions may reduce the bioavailability of bile interacting drugs.
Chapter III addresses the hypothesis from chapter II. A pharmacokinetic study in rats revealed that the absorption of Perphenazine was reduced by bile interacting excipients due to bile/excipient interaction. The simultaneous administration of excipient patterns I and II did not further reduce or enhance Perphenazine absorption. Conversely, the absorption of Metoprolol was not impacted by excipients. This reinforced the hypothesis, that drugs interacting with bile should not be formulated with excipients also interacting with bile.
Chapter IV further elaborates which in vitro methods using simulated intestinal fluids are predictive for a drug’s pharmacokinetic profile. The PWSD Naporafenib was analyzed in vitro with simulated intestinal fluids and in presence of excipients regarding solubility, supersaturation, and free drug fraction. Naporafenib showed a strong interaction with TC/L from simulated bile. Assays with TC/L, but not without identified one excipient as possibly bioavailability reducing, one as supersaturation destabilizing, and the last as bile not interacting and supersaturation stabilizing excipient. A pharmacokinetic study in beagle dogs outlined and confirmed the in vitro predictions.
The Appendix summarizes in vivo predictive methods as presented in chapter I to IV and rationalizes experimental design paving the way towards a biopharmaceutic excipient screening. The first presented preliminary decision tree is transformed into a step-by-step instruction. The presented decision matrix might serve as a blueprint for processes in early phase drug formulation development.
In summary, this thesis describes how a drug can be defined as bile interacting or non-interacting and gives a guide as well how to rate the impact of excipients on bile. We showed in two in vivo studies that bile/excipient interaction reduced the bioavailability of bile interacting drugs, while bile non-interacting drugs were not affected. We pointed out that the bile solubilization system must be incorporated during drug formulation design. Simulated gastrointestinal fluids offer a well-established platform studying the fate of drugs and excipients in vivo. Therefore, rational implementation of biopharmaceutic drug and excipient screening steers towards efficacy of oral PWSD formulation design.
Honeybees are among the few animals that rely on eusociality to survive. While the
task of queen and drones is only reproduction, all other tasks are accomplished by sterile
female worker bees. Different tasks are mostly divided by worker bees of different ages
(temporal polyethism). Young honeybees perform tasks inside the hive like cleaning and
nursing. Older honeybees work at the periphery of the nest and fulfill tasks like guarding
the hive entrance. The oldest honeybees eventually leave the hive to forage for resources
until they die. However, uncontrollable circumstances might force the colony to adapt or
perish. For example, the introduced Varroa destructor mite or the deformed wing virus
might erase a lot of in-hive bees. On the other hand, environmental events might kill a
lot of foragers, leaving the colony with no new food intake. Therefore, adaptability of
task allocation must be a priority for a honeybee colony.
In my dissertation, I employed a wide range of behavioral, molecular biological and analytical techniques to unravel the underlying molecular and physiological mechanisms of
the honeybee division of labor, especially in conjunction with honeybee malnourishment.
The genes AmOARα1, AmTAR1, Amfor and vitellogenin have long been implied to
be important for the transition from in-hive tasks to foraging. I have studied in detail
expression of all of these genes during the transition from nursing to foraging to understand how their expression patterns change during this important phase of life. My focus
lay on gene expression in the honeybee brain and fat body. I found an increase in the
AmOARα1 and the Amforα mRNA expression with the transition from in-hive tasks to
foraging and a decrease in expression of the other genes in both tissues. Interestingly,
I found the opposite pattern of the AmOARα1 and AmTAR1 mRNA expression in the
honeybee fat body during orientation flights. Furthermore, I closely observed juvenile
hormone titers and triglyceride levels during this crucial time. Juvenile hormone titers
increased with the transition from in-hive tasks to foraging and triglyceride levels decreased.
Furthermore, in-hive bees and foragers also differ on a behavioral and physiological level.
For example, foragers are more responsive towards light and sucrose. I proposed that
modulation via biogenic amines, especially via octopamine and tyramine, can increase
or decrease the responsiveness of honeybees. For that purpose, in-hive bees and foragers were injected with both biogenic amines and the receptor response was quantified
1
using electroretinography. In addition, I studied the behavioral response of the bees to
light using a phototaxis assay. Injecting octopamine increased the receptor response and
tyramine decreased it. Also, both groups of honeybees showed an increased phototactic
response when injected with octopamine and a decreased response when injected with
tyramine, independent of locomotion.
Additionally, nutrition has long been implied to be a driver for division of labor. Undernourished honeybees are known to speed up their transition to foragers, possibly to
cope with the missing resources. Furthermore, larval undernourishment has also been
implied to speed up the transition from in-hive bees to foragers, due to increasing levels
of juvenile hormone titers in adult honeybees after larval starvation. Therefore, I reared
honeybees in-vitro to compare the hatched adult bees of starved and overfed larvae to
bees reared under the standard in-vitro rearing diet. However, first I had to investigate
whether the in-vitro rearing method affects adult honeybees.
I showed effects of in-vitro rearing on behavior, with in-vitro reared honeybees foraging
earlier and for a shorter time than hive reared honeybees. Yet, nursing behavior was
unaffected.
Afterwards, I investigated the effects of different larval diets on adult honeybee workers.
I found no effects of malnourishment on behavioral or physiological factors besides a
difference in weight. Honeybee weight increased with increasing amounts of larval food,
but the effect seemed to vanish after a week.
These results show the complexity and adaptability of the honeybee division of labor.
They show the importance of the biogenic amines octopamine and tyramine and of the
corresponding receptors AmOARα1 and AmTAR1 in modulating the transition from inhive bees to foragers. Furthermore, they show that in-vitro rearing has no effects on
nursing behavior, but that it speeds up the transition from nursing to foraging, showing
strong similarities to effects of larval pollen undernourishment. However, larval malnourishment showed almost no effects on honeybee task allocation or physiology. It seems
that larval malnourishment can be easily compensated during the early lifetime of adult
honeybees.
This dissertation focuses on Mip (macrophage infectivity potentiator protein) inhibitors in response to increasing antibiotic resistance. The study follows an antivirulence approach, which aims to inhibit the non-essential Mip protein without exerting too much selective pressure. Three focus areas were (1) development and synthesis of a fluorescent probe for screening Mip inhibitors via fluorescence polarization; (2) design and synthesis of broad spectrum Mip inhibitors bearing a side chain; and (3) understanding the metabolism of Mip inhibitors and identification of active metabolites.
A sub-study addressed the biotinylation of anti-leishmanial compounds from Valeriana wallichii rhizomes, with three tracer molecules synthesized for future pull-down experiments.
The focus of this work was the development and application of highly efficient RNA catalysts for the site-specific modification of RNA with special focus on methylation. In the course of this thesis, the first methyltransferase ribozyme (MTR1), which uses m6G as the methyl group donor was developed and further characterized. The RNA product was identified as the natural modification m1A. X-Ray crystallography was used to solve the 3D structure of the ribozyme, which directly suggested a plausible reaction meachnism. The MTR1 ribozyme was also successfully repurposed for a nucleobase transformation reaction of a purine nucleoside. This resulted in a formyl-imidazole moiety directly on the intact RNA, which was directly used for further bioconjugation reactions. Finally, additional selections and reselections led to the identification of highly active alkyltransferase ribozymes that can be used for the labeling of various RNA targets
This work presents a newly developed method for the epitaxial growth of the half-Heusler antiferromagnet CuMnSb. All necessary process steps, from buffer growth to the deposition of a protective layer, are presented in detail. Using structural, electrical, and magnetic characterization, the material parameters of the epitaxial CuMnSb layers are investigated.
The successful growth of CuMnSb by molecular beam epitaxy is demonstrated on InAs (001), GaSb (001), and InP (001) substrates. While CuMnSb can be grown pseudomorphically on InAs and GaSb, the significant lattice mismatch for growth on InP leads to relaxation already at low film thicknesses. Due to the lower conductivity of GaSb compared to InAs, GaSb substrates are particularly suitable for the fabrication of CuMnSb layers for lateral electrical transport experiments. However, by growing a high-resistive ZnTe interlayer below the CuMnSb layer, lateral transport experiments on CuMnSb layers grown on InAs can also be realized. Protective layers of Ru and Al2O3 have proven to be suitable for protecting the CuMnSb layers from the environment.
Structural characterization by high resolution X-ray diffraction (full width at half maximum of 7.7 ′′ of the rocking curve) and atomic force microscopy (root mean square surface roughness of 0.14 nm) reveals an outstanding crystal quality of the epitaxial CuMnSb layers. The half-Heusler crystal structure is confirmed by scanning transmission electron microscopy and the stoichiometric material composition by Rutherford backscattering spectrometry. In line with the high crystal quality, a new minimum value of the residual resistance of CuMnSb (𝜌0 = 35 μΩ ⋅ cm) could be measured utilizing basic electrical transport experiments.
An elaborate study of epitaxial CuMnSb grown on GaSb reveals a dependence of the vertical lattice parameter on the Mn/Sb flux ratio. This characteristic enables the growth of tensile, unstrained, and compressive strained CuMnSb layers on a single substrate material. Additionally, it is shown that the Néel temperature has a maximum of 62 K at stoichiometric material composition and thus can be utilized as a selection tool for stoichiometric CuMnSb samples. Mn-related defects are believed to be the driving force for these observations.
The magnetic characterization of the epitaxial CuMnSb films is performed by superconducting quantum interference device magnetometry. Magnetic behavior comparable to the bulk material is found, however, an additional complex magnetic phase appears in thin CuMnSb films and/or at low magnetic fields, which has not been previously reported for CuMnSb. This magnetic phase is believed to be localized at the CuMnSb surface and exhibits both superparamagnetic and spin-glass-like behavior. The exchange bias effect of CuMnSb is investigated in combination with different in- and out-of-plane ferromagnets. It is shown that the exchange bias effect can only be observed in combination with in-plane ferromagnets.
Finally, the first attempts at the growth of fully epitaxial CuMnSb/NiMnSb heterostructures are presented. Both magnetic and structural studies by secondary-ion mass spectrometry indicate the interdiffusion of Cu and Ni atoms between the two half-Heusler layers, however, an exchange bias effect can be observed for the CuMnSb/NiMnSb heterostructures. Whether this exchange bias effect originates from exchange interaction between the CuMnSb and NiMnSb layers, or from ferromagnetic inclusions in the antiferromagnetic layer can not be conclusively identified.
Mammalian embryonic development is subject to complex biological relationships that need to be understood. However, before the whole structure of development can be put together, the individual building blocks must first be understood in more detail. One of these building blocks is the second cell fate decision and describes the differentiation of cells of the inner cell mass of the embryo into epiblast and primitive endoderm cells. These cells then spatially segregate and form the subsequent bases for the embryo and yolk sac, respectively. In organoids of the inner cell mass, these two types of progenitor cells are also observed to form, and to some extent to spatially separate. This work has been devoted to these phenomena over the past three years. Plenty of studies already provide some insights into the basic mechanics of this cell differentiation, such that the first signs of epiblast and primitive endoderm differentiation, are the expression levels of transcription factors NANOG and GATA6. Here, cells with low expression of GATA6 and high expression of NANOG adopt the epiblast fate. If the expressions are reversed, a primitive endoderm cell is formed. Regarding the spatial segregation of the two cell types, it is not yet clear what mechanism leads to this. A common hypothesis suggests the differential adhesion of cell as the cause for the spatial rearrangement of cells. In this thesis however, the possibility of a global cell-cell communication is investigated. The approach chosen to study these phenomena follows the motto "mathematics is biology's next microscope". Mathematical modeling is used to transform the central gene regulatory network at the heart of this work into a system of equations that allows us to describe the temporal evolution of NANOG and GATA6 under the influence of an external signal. Special attention is paid to the derivation of new models using methods of statistical mechanics, as well as the comparison with existing models. After a detailed stability analysis the advantages of the derived model become clear by the fact that an exact relationship of the model parameters and the formation of heterogeneous mixtures of two cell types was found. Thus, the model can be easily controlled and the proportions of the resulting cell types can be estimated in advance. This mathematical model is also combined with a mechanism for global cell-cell communication, as well as a model for the growth of an organoid. It is shown that the global cell-cell communication is able to unify the formation of checkerboard patterns as well as engulfing patterns based on differently propagating signals. In addition, the influence of cell division and thus organoid growth on pattern formation is studied in detail. It is shown that this is able to contribute to the formation of clusters and, as a consequence, to breathe some randomness into otherwise perfectly sorted patterns.
Empathy, the act of sharing another person’s affective state, is a ubiquitous driver for helping others and feeling close to them. These experiences are integral parts of human behavior and society. The studies presented in this dissertation aimed to investigate the sustainability and stability of social closeness and prosocial decision-making driven by empathy and other social motives. In this vein, four studies were conducted in which behavioral and neural indicators of empathy sustainability were identified using model-based functional magnetic resonance imaging (fMRI).
Applying reinforcement learning, drift-diffusion modelling (DDM), and fMRI, the first two studies were designed to investigate the formation and sustainability of empathy-related social closeness (study 1) and examined how sustainably empathy led to prosocial behavior (study 2). Using DDM and fMRI, the last two studies investigated how empathy combined with reciprocity, the social norm to return a favor, on the one hand and empathy combined with the motive of outcome maximization on the other hand altered the behavioral and neural social decision process.
The results showed that empathy-related social closeness and prosocial decision tendencies persisted even if empathy was rarely reinforced. The sustainability of these empathy effects was related to recalibration of the empathy-related social closeness learning signal (study 1) and the maintenance of a prosocial decision bias (study 2). The findings of study 3 showed that empathy boosted the processing of reciprocity-based social decisions, but not vice versa. Study 4 revealed that empathy-related decisions were modulated by the motive of outcome maximization, depending on individual differences in state empathy.
Together, the studies strongly support the concept of empathy as a sustainable driver of social closeness and prosocial behavior.
Since the advent of high-throughput sequencing technologies in the mid-2010s, RNA se-
quencing (RNA-seq) has been established as the method of choice for studying gene
expression. In comparison to microarray-based methods, which have mainly been used to
study gene expression before the rise of RNA-seq, RNA-seq is able to profile the entire
transcriptome of an organism without the need to predefine genes of interest. Today,
a wide variety of RNA-seq methods and protocols exist, including dual RNA sequenc-
ing (dual RNA-seq) and multi RNA sequencing (multi RNA-seq). Dual RNA-seq and
multi RNA-seq simultaneously investigate the transcriptomes of two or more species, re-
spectively. Therefore, the total RNA of all interacting species is sequenced together and
only separated in silico. Compared to conventional RNA-seq, which can only investi-
gate one species at a time, dual RNA-seq and multi RNA-seq analyses can connect the
transcriptome changes of the species being investigated and thus give a clearer picture of
the interspecies interactions. Dual RNA-seq and multi RNA-seq have been applied to a
variety of host-pathogen, mutualistic and commensal interaction systems.
We applied dual RNA-seq to a host-pathogen system of human mast cells and Staphylo-
coccus aureus (S. aureus). S. aureus, a commensal gram-positive bacterium, can become
an opportunistic pathogen and infect skin lesions of atopic dermatitis (AD) patients.
Among the first immune cells S. aureus encounters are mast cells, which have previously
been shown to be able to kill the bacteria by discharging antimicrobial products and re-
leasing extracellular traps made of protein and deoxyribonucleic acid (DNA). However,
S. aureus is known to evade the host’s immune response by internalizing within mast
cells. Our dual RNA-seq analysis of different infection settings revealed that mast cells
and S. aureus need physical contact to influence each other’s gene expression. We could
show that S. aureus cells internalizing within mast cells undergo profound transcriptome
changes to adjust their metabolism to survive in the intracellular niche. On the host side,
we found out that infected mast cells elicit a type-I interferon (IFN-I) response in an
autocrine manner and in a paracrine manner to non-infected bystander-cells. Our study
provides the first evidence that mast cells are capable to produce IFN-I upon infection
with a bacterial pathogen.
Development, Simulation and Evaluation of Mobile Wireless Networks in Industrial Applications
(2023)
Manyindustrialautomationsolutionsusewirelesscommunicationandrelyontheavail-
ability and quality of the wireless channel. At the same time the wireless medium is
highly congested and guaranteeing the availability of wireless channels is becoming
increasingly difficult. In this work we show, that ad-hoc networking solutions can be
used to provide new communication channels and improve the performance of mobile
automation systems. These ad-hoc networking solutions describe different communi-
cation strategies, but avoid relying on network infrastructure by utilizing the Peer-to-
Peer (P2P) channel between communicating entities.
This work is a step towards the effective implementation of low-range communication
technologies(e.g. VisibleLightCommunication(VLC), radarcommunication, mmWave
communication) to the industrial application. Implementing infrastructure networks
with these technologies is unrealistic, since the low communication range would neces-
sitate a high number of Access Points (APs) to yield full coverage. However, ad-hoc
networks do not require any network infrastructure. In this work different ad-hoc net-
working solutions for the industrial use case are presented and tools and models for
their examination are proposed.
The main use case investigated in this work are Automated Guided Vehicles (AGVs)
for industrial applications. These mobile devices drive throughout the factory trans-
porting crates, goods or tools or assisting workers. In most implementations they must
exchange data with a Central Control Unit (CCU) and between one another. Predicting
if a certain communication technology is suitable for an application is very challenging
since the applications and the resulting requirements are very heterogeneous.
The proposed models and simulation tools enable the simulation of the complex inter-
action of mobile robotic clients and a wireless communication network. The goal is to
predict the characteristics of a networked AGV fleet.
Theproposedtoolswereusedtoimplement, testandexaminedifferentad-hocnetwork-
ing solutions for industrial applications using AGVs. These communication solutions
handle time-critical and delay-tolerant communication. Additionally a control method
for the AGVs is proposed, which optimizes the communication and in turn increases the
transport performance of the AGV fleet. Therefore, this work provides not only tools
for the further research of industrial ad-hoc system, but also first implementations of
ad-hoc systems which address many of the most pressing issues in industrial applica-
tions.
Regulatory T cells (Treg) are critical immune cells to ensure immune homeostasis. Treg do so by establishing tolerance to self-antigens as well as food-derived antigens. Additionally, they fine-tune immune responses to limit the damage caused by inevitable inflammation during the resolution of an ongoing infection or anti-tumor response. Despite countless efforts to gain a detailed understanding of the mechanisms Treg utilize to regulate adaptive immune responses, in vivo evidence is rather limited. We were interested in the cell-cell interactions of Treg and their spatio-temporal dynamics during a viral infection. We sought to address Interleukin-2 (IL-2) competition as a viable mechanism to control anti-viral CD8 T cell responses. We used intra-vital 2-photon imaging to analyze the interactions between Treg and activated T cells during viral infection. Additionally, we performed multiple loss- and gain-of-function experiments, addressing the IL-2 active signaling of CD8, CD4, and regulatory T cells to understand the competitive sensing of IL-2. Finally, we performed single-cell RNA sequencing to understand the cell-intrinsic differences in Treg caused by infection. We found that IL-2 competition by Treg limits the CD8 T cell response and can alter the differentiation of CD8 T cells. Furthermore, we show that Treg do not arrest in proximity to CD8 T cells for prolonged periods and therefore are unlikely to regulate CD8 T cells via contact-dependent mechanisms previously proposed. Our data support an area control model in which Treg scavenge IL-2 while actively migrating through the LN, constantly limiting access to IL-2. Establishing CD4 T cells as the major source of IL-2 during the later phases of infection, we provide direct evidence that Treg compete with CD8 T cells for CD4-derived IL-2. Finally, we show that IL-2 limitation is in correlation with CD25 expression levels and has an impact on the differentiation of CD8 T cells. Altering the differentiation of CD8 T cells to increase effector or memory functions has huge implications in clinical treatments, e.g ’checkpoint immunotherapy’. Especially in scenarios like checkpoint immunotherapy, where an efficient expansion of CD8 T cells is vital to the success of the treatment, it is invaluable to understand the spatio-temporal dynamics of Treg. Not only can the expansion phase be optimized, but also side effects can be better controlled by ensuring the adequate timing of treatments and boosting the anti-inflammatory response after the initial establishment of CD8 T cells. On top of this, the gained understanding of the regulatory mechanism of Treg can help to enhance the efficacy of autoimmune disorder treatments. Overall, this study addressed highly relevant questions in the Treg field and answered aspects of Treg regulation, refining their mode of action and the spatio-temporal dynamics during viral infection, providing evidence for IL-2 competition as a major regulatory mechanism controlling antiviral CD8 T cell responses.
The original habitat of native European honey bees (\(Apis\) \(mellifera\)) is forest, but currently there is a lack of data about the occurrence of wild honey bee populations in Europe. Prior to being kept by humans in hives, honey bees nested as wild species in hollow trees in temperate forests. However, in the 20th century, intensification of silviculture and agriculture with accompanying losses of nesting sites and depletion of food resources caused population declines in Europe. When the varroa mite (Varroa destructor), an invasive ectoparasite from Asia, was introduced in the late 1970s, wild honey bees were thought to be eradicated in Europe. Nevertheless, sporadic, mostly anecdotal, reports from ornithologists or forest ecologists indicated that honey bee colonies still occupy European forest areas. In my thesis I hypothesize that near-natural deciduous forests may provide sufficient large networks of nesting sites representing refugia for wild-living honey bees. Using two special search techniques, i.e. the tracking of flight routes of honey bee foragers (the “beelining” method) and the inspection of known cavity trees, I collected for the first time data on the occurrence and density of wild-living honey bees in forest areas in Germany (CHAPTER 3). I found wild-living honey bee colonies in the Hainich national park at low densities in two succeeding years. In another forest region, I checked known habitat trees containing black woodpecker cavities for occupation by wild-living honey bee colonies. It turned out that honey bees regularly use these cavities and occur in similar densities in both studied forest regions, independent of the applied detection method. Extrapolating these densities to all German forest areas, I estimate several thousand wild-living colonies in Germany that potentially interact in different ways with the forest environment. I conclude that honey bees regularly colonize forest areas in Germany and that networks of mapped woodpecker cavities offer unique possibilities to study the ecology of wild-living honey bees over several years.
While their population status is ambiguous and the density of colonies low, the fact that honey bees can still be found in forests poses questions about food supply in forest environments. Consequently, I investigated the suitability of woodlands as a honey bee foraging habitat (CHAPTER 4). As their native habitat, forests are assumed to provide important pollen and nectar sources for honey bee colonies. However, resource supply might be spatially and temporally restricted and landscape-scale studies in European forest regions are lacking. Therefore, I set up twelve honey bee colonies in observation hives at locations with varying degree of forest cover. Capitalizing on the unique communication behaviour, the waggle dance, I examined the foraging distances and habitat preferences of honey bees over almost an entire foraging season. Moreover, by connecting this decoded dance information with colony weight recordings, I could draw conclusions about the contribution of the different habitat types to honey yield. Foraging distances generally increased with the amount of forest in the surrounding landscape. Yet, forest cover did not have an effect on colony weight. Compared to expectations based on the proportions of different habitats in the surroundings, colonies foraged more frequently in cropland and grasslands than in deciduous and coniferous forests, especially in late summer when pollen foraging in the forest is most difficult. In contrast, colonies used forests for nectar/honeydew foraging in early summer during times of colony weight gain emphasizing forests as a temporarily significant source of carbohydrates. Importantly, my study shows that the ecological and economic value of managed forest as habitat for honey bees and other wild pollinators can be significantly increased by the continuous provision of floral resources, especially for pollen foraging.
The density of these wild-living honey bee colonies and their survival is driven by several factors that vary locally, making it crucial to compare results in different regions. Therefore, I investigated a wild-living honey bee population in Galicia in north-western Spain, where colonies were observed to reside in hollow electric poles (CHAPTER 5). The observed colony density only in these poles was almost twice as high as in German forest areas, suggesting generally more suitable resource conditions for the bees in Galicia. Based on morphometric analyses of their wing venation patterns, I assigned the colonies to the native evolutionary lineage (M-lineage) where the particularly threatened subspecies \(Apis\) \(mellifera\) \(iberiensis\) also belongs to. Averaged over two consecutive years, almost half of the colonies survived winter (23 out of 52). Interestingly, semi-natural areas both increased abundance and subsequent colony survival. Colonies surrounded by more semi-natural habitat (and therefore less intensive cropland) had an elevated overwintering probability, indicating that colonies need a certain amount of semi-natural habitat in the landscape to survive. Due to their ease of access these power poles in Galicia are, ideally suited to assess the population demography of wild-living Galician honey bee colonies through a long-term monitoring.
In a nutshell, my thesis indicates that honey bees in Europe always existed in the wild. I performed the first survey of wild-living bee density yet done in Germany and Spain. My thesis identifies the landscape as a major factor that compromises winter survival and reports the first data on overwintering rates of wild-living honey bees in Europe. Besides, I established methods to efficiently detect wild-living honey bees in different habitat. While colonies can be found all over Europe, their survival and viability depend on unpolluted, flower rich habitats. The protection of near-natural habitat and of nesting sites is of paramount importance for the conservation of wild-living honey bees in Europe.
The mammalian central clock, located in the suprachiasmatic nucleus (SCN) of the anterior hypothalamus, controls circadian rhythms in behaviour such as the sleep-wake cycle. It is made up of approximately 20,000 heterogeneous neurons that can be classified by their expression of neuropeptides. There are three major populations: AVP neurons (arginine vasopressin), VIP neurons (vasoactive intestinal peptide), and GRP neurons (gastrin releasing peptide). How these neuronal clusters form functional units to govern various aspects of rhythmic behavior is poorly understood. At a molecular level, biological clocks are represented by transcriptional-posttranslational feedback loops that induce circadian oscillations in the electrical activity of the SCN and hence correlate with behavioral circadian rhythms. In mammals, the sleep wake cycle can be accurately predicted by measuring electrical muscle and brain activity. To investigate the link between the electrical activity of heterogeneous neurons of the SCN and the sleep wake cycle, we optogenetically manipulated AVP neurons in vivo with SSFO (stabilized step function opsin) and simultaneously recorded an electroencephalogram (EEG) and electromyogram (EMG) in freely moving mice. SSFO-mediated stimulation of AVP positive neurons in the anterior hypothalamus increased the total amount of wakefulness during the hour of stimulation. Interestingly, this effect led to a rebound in sleep in the hour after stimulation. Markov chain sleep-stage transition analysis showed that the depolarization of AVP neurons through SSFO promotes the transition from all states to wakefulness. After the end of stimulation, a compensatory increase in transitions to NREM sleep was observed. Ex vivo, SSFO activation in AVP neurons causes depolarization and modifies the activity of AVP neurons. Therefore, the results of this thesis project suggest an essential role of AVP neurons as mediators between circadian rhythmicity and sleep-wake behaviour.
Conspiracy theories and fake news are receiving wide media coverage and their proliferation has motivated academic research on the driving factors irrational cognition and behavior. This dissertation focuses on individuals' beliefs about knowledge and knowing, which are commonly referred to as epistemic beliefs. The term post-truth epistemic beliefs is proposed and defined as a strong trust in one’s intuition, a low need to align opinions with evidence, and the strong conviction that truth is a matter of power. Across six online studies, a mediation model is proposed and tested. It includes the core of all dark traits, the Dark Factor of Personality (D), as an antecedent of post-truth epistemic beliefs, and irrational cognition and behavior as consequences. Manuscript #1 comprises four studies showing that post-truth epistemic beliefs are rooted in D and predict increased endorsement of COVID-19 conspiracy theories as well as less engagement in health-protective behavior against COVID-19. Manuscript #2 includes a US nationally representative study suggesting that post-truth epistemic beliefs and D predict a lower probability of having been vaccinated against COVID-19. Manuscript #3 presents a repeated measures experiment indicating that the nexus of D and post-truth epistemic beliefs also predicts less discernment between fake and accurate news. These findings highlight a major insight and a serious challenge for rational communication: Some individuals deliberately disregard (scientific) evidence and rational decision-making. Against this background, the need to foster the epistemological development of students and educators is emphasized.
Current therapeutic strategies efficiently improve survival in patients after myocardial infarction (MI). Nevertheless, long-term consequences such as heart failure development, are still one of the leading causes of death worldwide. Inflammation is critically involved in the cardiac healing process after MI and has a dual role, contributing to both tissue healing and tissue damage. In the last decade, a lot of attention was given to targeting inflammation as a potential therapeutic approach in MI, but the poor understanding of inflammatory cell heterogeneity and function is a limit to the development of immune modulatory strategies. The recent development of tools to profile immune cells with high resolution has provided a unique opportunity to better understand immune cell heterogeneity and dynamics in the ischemic heart.
In this thesis, we employed single-cell RNA-sequencing combined with detection of epitopes by sequencing (CITE-seq) to refine our understanding of neutrophils and monocytes/macrophages heterogeneity and dynamic after experimental myocardial infarction.
Neutrophils rapidly invade the infarcted heart shortly after ischemic damage and have previously been proposed to display time-dependent functional heterogeneity. At the single-cell level, we observed dynamic transcriptional heterogeneity in neutrophil populations during the acute post-MI phase and defined previously unknown cardiac neutrophil states. In particular, we identified a locally acquired SiglecFhi neutrophil state that displayed higher ROS production and phagocytic ability compared to newly recruited neutrophils, suggesting the acquisition of specific function in the infarcted heart. These findings highlight the importance of the tissue microenvironment in shaping neutrophil response.
From the macrophage perspective, we characterized MI-associated monocyte-derived macrophage subsets, two with a pro-inflammatory gene signature (MHCIIhiIl1βhi) and three Trem2hi macrophage populations with a lipid associated macrophage (LAM) signature, also expressing pro-fibrotic and tissue repair genes. Combined analysis of blood monocytes and cardiac monocyte/macrophages indicated that the Trem2hi LAM signature is acquired in the infarcted heart.
We furthermore characterized the role of TREM2, a surface protein expressed mainly in macrophages and involved in macrophage survival and function, in the post-MI macrophage response and cardiac repair. Using TREM2 deficient mice, we demonstrate that acquisition of the LAM signature in cardiac macrophages after MI is partially dependent on TREM2. While their cardiac function was not affected, TREM2 deficient mice showed reduced collagen deposition in the heart after MI. Thus, our data in Trem2-deficient mice highlight the role of TREM2 in promoting a macrophage pro-fibrotic phenotype, in line with the pro-fibrotic/tissue repair gene signature of the Trem2hi LAM-signature genes.
Overall, our data provide a high-resolution characterization of neutrophils and macrophage heterogeneity and dynamics in the ischemic heart and can be used as a valuable resource to investigate how these cells modulate the healing processes after MI. Furthermore, our work identified TREM2 as a regulator of macrophage phenotype in the infarcted heart
The use of digital media by children and young people offers opportunities for communication, collaboration, and participation. However, to prepare them for the risks and challenges of media usage, promoting digital competencies of students and teachers is an indispensable goal for educational institutions. To meet this requirement, teacher education must be opened to innovative pedagogical concepts for initial teacher education that considers new technologies in a reflective, action-oriented way to promote competencies. Therefore, this work aims to promote the technological pedagogical content knowledge (TPACK) of prospective teachers that enables the purposeful integration of social virtual reality (social VR) into the classroom. Consequently, a pedagogical concept is developed and evaluated in an iterative research and development process following the design- based research approach (DBR) through four consecutive studies. The first study involved an analysis of the requirements of teachers and students for the effective use of social VR in the classroom. The second study examined how prospective teachers perceive teaching and learning activities within two theory-driven scenarios in social VR. The third study investigated the development of Technological Pedagogical Content Knowledge (TPACK) among students in social VR compared to video-based communication. Finally, the fourth study measured the development of TPACK in social VR using epistemic network analysis, finding that social VR can be an effective tool for teacher education, emphasizing the importance of authentic contexts and practical experiences for effective teaching in social VR. In the concluding chapter, appropriate implications for teacher education research and practice are derived from findings. For example, that a deeper understanding of TPACK as metacognitive awareness could enhance teacher education for media integration. It also highlights the need for digital literacy in seminars that address new technologies, emphasizing the importance of considering moral values and sustainability when using VR.
Although the concept of wealth is a topic that ancient philosophers have dealt with, relatively little attention is paid to it in psychology. This work sheds light on cognitive processes on how individuals derive a judgment about whether someone is rich and whether certain cues serve as subjective indicators of wealth. Based on three chapters that describe K = 11 observational and experimental studies (N = 2,315), three research questions shall be answered: First, to what extent do individuals differ when defining wealth? Secondly, are there universal cues of wealth that individuals use to identify rich people? And if yes, in what sense do these cues depend on the situation or context? Furthermore, it will be asked whether there are situational boundaries under which those cues do not apply. The present research shows that individuals differ in defining wealth and that they take their personal life circumstances and situational cues into account to define wealth. Moreover, evidence for a coherent wealth cue model was found that describes cues that are used by individuals to identify the rich (i.e., particularly wealthy people), whereby the validity of these cues depends on several contextual (e.g., cultural) factors. Lastly, it was found that by isolating individual wealth cues and looking at core mental representations of these cues, they may not be perceived as indicative for rich people anymore. The conclusions reported here set a foundation for further research on the perceptions of wealth which may be particularly relevant for the political discourse
The research that is compiled in this thesis can be divided in two parts. The first part, consisting of four chapters, is centered around the role of epigenetic dysregulation in the etiopathophysiology of sporadic alzheimer's disease (sAD). In addition to providing insights into the most recent developments in neuroepigenomic studies of this disease, the first part of the thesis also touches upon remaining challenges, and provides a future outlook on possible developments in the field. The second part, which includes three more chapters, is focused on the application of induced pluripotent stem cell (iPSC)-based disease models for the study of AD, including but not limited to mechanistic studies on epigenetic dysregulation using this platform. Aside from outlining the research that has been conducted using iPSC-based models for sAD to date, the second part of the thesis also provides insights into the acquisition of disease-relevant neural cultures based on directed differentiation of iPSCs, and furthermore includes an experimental approach for the establishment of such a model system.
Bisdiynes undergo Pd(0)-catalyzed cyclization, forming azulene and naphthalene products. When dibenzylideneacetone is present in the reaction, it undergoes a [2+2+2] cyclization with the bisdiyne, forming cyclohexadiene derivatives. Ni(0) catalyzes the [2+2+2] cycloaddition of diynes with tolanes towards alkynylated o-terphenyl derivatives. The D-A substituted products are solvatochromic, fluorescent dyes with high quantum yields and short lifetimes. Bis-triarylborane tetrayne dyes were synthesized in both neutral and tetracationic forms, as potential DNA/RNA sensor. Both molecules are weakly fluorescent in solution and exhibit characteristic alkyne absorptions in the Raman spectra. Tributyl phosphine catalyzes the trans-hydroboration of 1,3-butadiynes with HBpin. We confirmed experimentally via NMR and HRMS experiments, that phosphine attack on the diyne is a key step in the catalytic cycle.
Many arthropods such as mosquitoes, ticks, bugs, and flies are vectors for the transmission of pathogenic parasites, bacteria, and viruses. Among these, the unicellular parasite Trypanosoma brucei (T. brucei) causes human and animal African trypanosomiases and is transmitted to the vertebrate host by the tsetse fly. In the fly, the parasite goes through a complex developmental cycle in the alimentary tract and salivary glands ending with the cellular differentiation into the metacyclic life cycle stage. An infection in the mammalian host begins when the fly takes a bloodmeal, thereby depositing the metacyclic form into the dermal skin layer. Within the dermis, the cell cycle-arrested metacyclic forms are activated, re-enter the cell cycle, and differentiate into proliferative trypanosomes, prior to dissemination throughout the host.
Although T. brucei has been studied for decades, very little is known about the early events in the skin prior to systemic dissemination. The precise timing and the mechanisms controlling differentiation of the parasite in the skin continue to be elusive, as does the characterization of the proliferative skin-residing trypanosomes. Understanding the first steps of an infection is crucial for developing novel strategies to prevent disease establishment and its progression.
A major shortcoming in the study of human African trypanosomiasis is the lack of suitable infection models that authentically mimic disease progression. In addition, the production of infectious metacyclic parasites requires tsetse flies, which are challenging to keep. Thus, although animal models - typically murine - have produced many insights into the pathogenicity of trypanosomes in the mammalian host, they were usually infected by needle injection into the peritoneal cavity or tail vein, bypassing the skin as the first entry point. Furthermore, animal models are not always predictive for the infection outcome in human patients. In addition, the relatively small number of metacyclic parasites deposited by the tsetse flies makes them difficult to trace, isolate, and study in animal hosts.
The focus of this thesis was to develop and validate a reconstructed human skin equivalent as an infection model to study the development of naturally-transmitted metacyclic parasites of T. brucei in mammalian skin. The first part of this work describes the development and characterization of a primary human skin equivalent with improved mechanical properties. To achieve this, a computer-assisted compression system was designed and established. This system allowed the improvement of the mechanical stability of twelve collagen-based dermal equivalents in parallel through plastic compression, as evaluated by rheology. The improved dermal equivalents provided the basis for the generation of the skin equivalents and reduced their contraction and weight loss during tissue formation, achieving a high degree of standardization and reproducibility. The skin equivalents were characterized using immunohistochemical and histological techniques and recapitulated key anatomical, cellular, and functional aspects of native human skin. Furthermore, their cellular heterogeneity was examined using single-cell RNA sequencing - an approach which led to the identification of a remarkable repertoire of extracellular matrix-associated genes expressed by different cell subpopulations in the artificial skin. In addition, experimental conditions were established to allow tsetse flies to naturally infect the skin equivalents with trypanosomes.
In the second part of the project, the development of the trypanosomes in the artificial skin was investigated in detail. This included the establishment of methods to successfully isolate skin-dwelling trypanosomes to determine their protein synthesis rate, cell cycle and metabolic status, morphology, and transcriptome. Microscopy techniques to study trypanosome motility and migration in the skin were also optimized. Upon deposition in the artificial skin by feeding tsetse, the metacyclic parasites were rapidly activated and established a proliferative population within one day. This process was accompanied by: (I) reactivation of protein synthesis; (II) re-entry into the cell cycle; (III) change in morphology; (IV) increased motility. Furthermore, these observations were linked to potentially underlying developmental mechanisms by applying single-cell parasite RNA sequencing at five different timepoints post-infection.
After the initial proliferative phase, the tsetse-transmitted trypanosomes appeared to enter a reversible quiescence program in the skin. These quiescent skin-residing trypanosomes were characterized by very slow replication, a strongly reduced metabolism, and a transcriptome markedly different from that of the deposited metacyclic forms and the early proliferative trypanosomes. By mimicking the migration from the skin to the bloodstream, the quiescent phenotype could be reversed and the parasites returned to an active proliferating state. Given that previous work has identified the skin as an anatomical reservoir for T. brucei during disease, it is reasonable to assume that the quiescence program is an authentic facet of the parasite's behavior in an infected host.
In summary, this work demonstrates that primary human skin equivalents offer a new and promising way to study vector-borne parasites under close-to-natural conditions as an alternative to animal experimentation. By choosing the natural transmission route - the bite of an infected tsetse fly - the early events of trypanosome infection have been detailed with unprecedented resolution. In addition, the evidence here for a quiescent, skin-residing trypanosome population may explain the persistence of T. brucei in the skin of aparasitemic and asymptomatic individuals. This could play an important role in maintaining an infection over long time periods.
The fusion of methods from several disciplines is a crucial component of scientific development. Artificial Neural Networks, based on the principle of biological neuronal networks, demonstrate how nature provides the best templates for technological advancement. These innovations can then be employed to solve the remaining mysteries of biology, including, in particular, processes that take place on microscopic scales and can only be studied with sophisticated techniques. For instance, direct Stochastic Optical Reconstruction Microscopy combines tools from chemistry, physics, and computer science to visualize biological processes at the molecular level. One of the key components is the computer-aided reconstruction of super-resolved images. Improving the corresponding algorithms increases the quality of the generated data, providing further insights into our biology. It is important, however, to ensure that the heavily processed images are still a reflection of reality and do not originate in random artefacts.
Expansion microscopy is expanding the sample by embedding it in a swellable hydrogel. The method can be combined with other super-resolution techniques to gain additional resolution. We tested this approach on microtubules, a well-known filamentous reference structure, to evaluate the performance of different protocols and labelling techniques.
We developed LineProfiler an objective tool for data collection. Instead of collecting perpendicular profiles in small areas, the software gathers line profiles from filamentous structures of the entire image. This improves data quantity, quality and prevents a biased choice of the evaluated regions. On the basis of the collected data, we deployed theoretical models of the expected intensity distribution across the filaments. This led to the conclusion that post-expansion labelling significantly reduces the labelling error and thus, improves the data quality. The software was further used to determine the expansion factor and arrangement of synaptonemal complex data.
Automated Simple Elastix uses state-of-the-art image alignment to compare pre- and post-expansion images. It corrects linear distortions occurring under isotropic expansion, calculates a structural expansion factor and highlights structural mismatches in a distortion map. We used the software to evaluate expanded fungi and NK cells. We found that the expansion factor differs for the two structures and is lower than the overall expansion of the hydrogel.
Assessing the fluorescence lifetime of emitters used for direct Stochastic Optical Reconstruction Microscopy can reveal additional information about the molecular environment or distinguish dyes emitting with a similar wavelength. The corresponding measurements require a confocal scanning of the sample in combination with the fluorescent switching of the underlying emitters. This leads to non-linear, interrupted Point Spread Functions. The software ReCSAI targets this problem by combining the classical algorithm of compressed sensing with modern methods of artificial intelligence. We evaluated several different approaches to combine these components and found, that unrolling compressed sensing into the network architecture yields the best performance in terms of reconstruction speed and accuracy.
In addition to a deep insight into the functioning and learning of artificial intelligence in combination with classical algorithms, we were able to reconstruct the described non-linearities with significantly improved resolution, in comparison to other state-of-the-art architectures.
Grasslands shape many landscapes of the earth as they cover about one-third of its surface. They are home and provide livelihood for billions of people and are mainly used as source of forage for animals. However, grasslands fulfill many additional ecosystem functions next to fodder production, such as storage of carbon, water filtration, provision of habitats and cultural values. They play a role in climate change (mitigation) and in preserving biodiversity and ecosystem functions on a global scale. The degree to what these ecosystem functions are present within grassland ecosystems is largely determined by the management. Individual management practices and the use intensity influence the species composition as well as functions, like carbon storage, while higher use intensities (e.g. high mowing frequencies) usually show a negative impact. Especially in Central European countries, like in Germany, the determining influence of grassland management on its physiognomy and ecosystem functions leads to a large variability and small-scale alternations of grassland parcels. Large-scale information on the management and use intensity of grasslands is not available. Consequently, estimations of grassland ecosystem functions are challenging which, however, would be required for large-scale assessments of the status of grassland ecosystems and optimized management plans for the future. The topic of this thesis tackles this gap by investigating the major grassland management practice in Germany, which is mowing, for multiple years, in high spatial resolution
and on a national scale.
Earth Observation (EO) has the advantage of providing information of the earth’s surface on multi-temporal time steps. An extensive literature review on the use of EO for grassland management and production analyses, which was part of this thesis, showed that in particular research on grasslands consisting of small parcels with a large variety of management and use intensity, like common in Central Europe, is underrepresented. Especially
the launch of the Sentinel satellites in the recent past now enables the analyses of such grasslands due to their high spatial and temporal resolution. The literature review specifically on the investigation of grassland mowing events revealed that most previous studies focused on small study areas, were exploratory, only used one sensor type and/or lacked a reference data set with a complete range of management options.
Within this thesis a novel framework to detect grassland mowing events over large areas is presented which was applied and validated for the entire area of Germany for multiple years (2018–2021). The potential of both sensor types, optical (Sentinel-2) and Synthetic Aperture Radar (SAR) (Sentinel-1) was investigated regarding grassland mowing event detection. Eight EO parameters were investigated, namely the Enhanced Vegetation Index (EVI), the backscatter intensity and the interferometric (InSAR) temporal coherence for both available polarization modes (VV and VH), and the polarimetric (PolSAR) decomposition parameters Entropy, K0 and K1. An extensive reference data set was generated based on daily images of webcams distributed in Germany which resulted in mowing information
for grasslands with the entire possible range of mowing frequencies – from one to six in Germany – and in 1475 reference mowing events for the four years of interest.
For the first time a observation-driven mowing detection approach including data from Sentinel-2 and Sentinel-1 and combining the two was developed, applied and validated on large scale. Based on a subset of the reference data (13 grassland parcels with 44 mowing events) from 2019 the EO parameters were investigated and the detection algorithm
developed and parameterized. This analysis showed that a threshold-based change detection approach based on EVI captured grassland mowing events best, which only failed during periods of clouds. All SAR-based parameters showed a less consistent behavior to mowing events, with PolSAR Entropy and InSAR Coherence VH, however, revealing the
highest potential among them. A second, combined approach based on EVI and a SARbased parameter was developed and tested for PolSAR Entropy and InSAR VH. To avoid additional false positive detections during periods in which mowing events are anyhow reliably detected using optical data, the SAR-based mowing detection was only initiated
during long gaps within the optical time series (< 25 days). Application and validation of
these approaches in a focus region revealed that only using EVI leads to the highest accuracies (F1-Score = 0.65) as combining this approach with SAR-based detection led to a strong increase in falsely detected mowing events resulting in a decrease of accuracies (EVI + PolSAR ENT F1-Score = 0.61; EVI + InSAR COH F1-Score = 0.61).
The mowing detection algorithm based on EVI was applied for the entire area of Germany for the years 2018-2021. It was revealed that the largest share of grasslands with high mowing frequencies (at least four mowing events) can be found in southern/south-eastern Germany. Extensively used grassland (mown up to two times) is distributed within the entire country with larger shares in the center and north-eastern parts of Germany. These patterns stay constant in general, but small fluctuations between the years are visible. Early mown grasslands can be found in southern/south-eastern Germany – in line with high mowing frequency areas – but also in central-western parts. The years 2019 and 2020 revealed higher accuracies based on the 1475 mowing events of the multi-annual validation data set
(F1-Scores of 0.64 and 0.63), 2018 and 2021 lower ones (F1-Score of 0.52 and 0.50).
Based on this new, unprecedented data set, potential influencing factors on the mowing dynamics were investigated. Therefore, climate, topography, soil data and information on conservation schemes were related to mowing dynamics for the year 2020, which showed a high number of valid observations and detection accuracy. It was revealed that there are no strong linear relationships between the mowing frequency or the timing of the first mowing event and the investigated variables. However, it was found that for intensive grassland usage certain climatic and topographic conditions have to be fulfilled, while extensive grasslands appear on the entire spectrum of these variables. Further, higher mowing frequencies occur on soils with influence of ground water and lower mowing frequencies in protected areas. These results show the complex interplay between grassland mowing dynamics and external influences and highlight the challenges of policies aiming to protect grassland ecosystem functions and their need to be adapted to regional circumstances.
Strumpellin is a member of the highly conserved pentameric WASH complex, which stimulates the Arp2/3 complex on endosomes and induces the formation of a branched actin network. The WASH complex is involved in the formation and stabilisation of endosomal retrieval subdomains and transport carriers, into which selected proteins are packaged and subsequently transported to their respective cellular destination, e.g. the plasma membrane. Up until now, the role of Strumpellin in platelet function and endosomal trafficking has not been researched. In order to examine its role, a conditional knockout mouse line was generated, which specifically lacked Strumpellin in megakaryocytes and platelets.
Conditional knockout of Strumpellin resulted in only a mild platelet phenotype. Loss of Strumpellin led to a decreased abundance of the αIIbβ3 integrin in platelets, including a reduced αIIbβ3 surface expression by approximately 20% and an impaired αIIbβ3 activation after platelet activation. The reduced surface expression of αIIbβ3 was also detected in megakaryocytes. The expression of other platelet surface glycoproteins was not affected. Platelet count, size and morphology remained unaltered. The reduction of αIIbβ3 expression in platelets resulted in a reduced fibrinogen binding capacity after platelet activation. However, fibrinogen uptake under resting conditions, although slightly delayed, as well as overall fibrinogen content in Strumpellin-deficient platelets were comparable to controls. Most notably, reduced αIIbβ3 expression did not lead to any platelet spreading and aggregation defects in vitro. Furthermore, reduced WASH1 protein levels were detected in the absence of Strumpellin.
In conclusion, loss of Strumpellin does not impair platelet function, at least not in vitro. However, the data demonstrates that Strumpellin plays a role in selectively regulating αIIbβ3 surface expression. As a member of the WASH complex, Strumpellin may regulate αIIbβ3 recycling back to the platelet surface. Furthermore, residual WASH complex subunits may still assemble and partially function in the absence of Strumpellin, which could explain the only 20% decrease in αIIbβ3 surface expression. Nonetheless, the exact mechanism still remains unclear.
Disentangling the Formation of PAHs in Extreme Environments by IR/UV Double Resonance Spectroscopy
(2023)
Polycyclic Aromatic Hydrocarbons (PAHs) are considered as key building blocks in the formation of carbonaceous particles such as soot. In our immediate surroundings, they are mainly generated in incomplete combustion processes and are further considered as carriers of the Unidentified Infrared Bands which are detected in a wide variety of astrophysical envelopes in the interstellar medium. Currently, astrochemical as well as combustion related models favour small resonance stabilized radicals (RSR) as major contributors to PAHs in sequential reactions. Therefore, we generated two RSR under well-defined conditions to investigate their contribution to PAH formation in a pyrolysis microreactor. The various reaction products were identified by IR/UV ion dip spectroscopy which combines the mass-selectivity of UV light with the structural sensitivity of IR radiation. Finally, we investigated the intermolecular interactions in azaphenanthrene dimers in combination with high-level theoretical calculations and found a preferential formation of pi-stacked van der Waals cluster in a molecular jet expansion.
This work deals with the acceleration of cardiovascular MRI for the assessment
of functional information in steady-state contrast and for viability assessment
during the inversion recovery of the magnetization. Two approaches
are introduced and discussed in detail. MOCO-MAP uses an exponential
model to recover dynamic image data, IR-CRISPI, with its low-rank plus
sparse reconstruction, is related to compressed sensing.
MOCO-MAP is a successor to model-based acceleration of parametermapping
(MAP) for the application in the myocardial region. To this end, it
was augmented with a motion correction (MOCO) step to allow exponential
fitting the signal of a still object in temporal direction. Iteratively, this
introduction of prior physical knowledge together with the enforcement of
consistency with the measured data can be used to reconstruct an image
series from distinctly shorter sampling time than the standard exam (< 3 s
opposed to about 10 s). Results show feasibility of the method as well as
detectability of delayed enhancement in the myocardium, but also significant
discrepancies when imaging cardiac function and artifacts caused already by
minor inaccuracy of the motion correction.
IR-CRISPI was developed from CRISPI, which is a real-time protocol
specifically designed for functional evaluation of image data in steady-state
contrast. With a reconstruction based on the separate calculation of low-rank
and sparse part, it employs a softer constraint than the strict exponential
model, which was possible due to sufficient temporal sampling density via
spiral acquisition. The low-rank plus sparse reconstruction is fit for the use on
dynamic and on inversion recovery data. Thus, motion correction is rendered
unnecessary with it.
IR-CRISPI was equipped with noise suppression via spatial wavelet filtering.
A study comprising 10 patients with cardiac disease show medical
applicability. A comparison with performed traditional reference exams offer
insight into diagnostic benefits. Especially regarding patients with difficulty
to hold their breath, the real-time manner of the IR-CRISPI acquisition provides
a valuable alternative and an increase in robustness.
In conclusion, especially with IR-CRISPI in free breathing, a major acceleration
of the cardiovascular MR exam could be realized. In an acquisition
of less than 100 s, it not only includes the information of two traditional
protocols (cine and LGE), which take up more than 9.6 min, but also allows
adjustment of TI in retrospect and yields lower artifact level with similar
image quality.
The anaerobe Fusobacterium nucleatum (F. nucleatum) is an important member of the oral microbiome but can also colonize different tissues of the human body. In particular, its association with multiple human cancers has drawn much attention.
This association has prompted growing interest into the interaction of F. nucleatum with cancer, with studies focusing primarily on the host cells. At the same time, F. nucleatum itself remains poorly understood, which includes its transcriptomic architecture but also gene regulation such as global stress responses that typically enable survival of bacteria in new environments. An important aspect of such regulatory networks is the post-transcriptional regulation, which is entirely unknown in F. nucleatum. This paucity extents to any knowledge on small regulatory RNAs (sRNAs), despite their important role as post-transcriptional regulators of the bacterial physiology.
Investigating the above stated aspects is further complicated by the fact that F. nucleatum is phylogenetically distant from all other bacteria, displays very limited genetic tractability and lacks genetic tools for dissecting gene function.
This leaves many open questions on basic gene regulation in F. nucleatum, such as if the bacterium combines transcriptional and post-transcriptional regulation in its adaptation to a changing environment.
To begin answering this question, this works elucidated the transcriptomic landscape of F. nucleatum by performing differential RNA-seq (dRNA-seq). Conducted for five representative strains of all F. nucleatum subspecies and the closely related F. periodonticum, the analysis globally uncovered transcriptional start sites (TSS), 5'untranslated regions (UTRs) and improved the existing annotation. Importantly, the dRNA-seq analysis also identified a conserved suite of sRNAs specific to Fusobacterium.
The development of five genetic tools enabled further investigations of gene functions in F. nucleatum. These include vectors that enable the expression of different fluorescent proteins, inducible gene expression and scarless gene deletion in addition to transcriptional and translational reporter systems.
These tools enabled the dissection of a Sigma E response and uncovered several commonalities with its counterpart in the phylogenetically distant Proteobacteria. The similarities include the upregulation of genes involved in membrane homeostasis but also a Simga E-dependent regulatory sRNA. Surprisingly, oxygen was found to activated Sigma E in F. nucleatum contrasting the typical role of the factor in envelope stress.
The non-coding Sigma E-dependent sRNA, named FoxI, was shown to repress the translation of several envelope proteins which represented yet another parallel to the envelope stress response in Proteobacteria.
Overall, this work sheds light on the RNA landscape of the cancer-associated bacterium leading to the discovery of a conserved global stress response consisting of a coding and a non-coding arm. The development of new genetic tools not only aided the latter discovery but also provides the means for further dissecting the molecular and infection biology of this enigmatic bacterium.
Permafrost degradation is observed all over the world as a consequence of climate change and the associated Arctic amplification, which has severe implications for the environment. Landslides, increased rates of surface deformation, rising likelihood of infrastructure damage, amplified coastal erosion rates, and the potential turnover of permafrost from a carbon sink to a carbon source are thereby exemplary implications linked to the thawing of frozen ground material. In this context, satellite earth observation is a potent tool for the identification and continuous monitoring of relevant processes and features on a cheap, long-term, spatially explicit, and operational basis as well as up to a circumpolar scale.
A total of 325 articles published in 30 different international journals during the past two decades were investigated on the basis of studied environmental foci, remote sensing platforms, sensor combinations, applied spatio-temporal resolutions, and study locations in an extensive review on past achievements, current trends, as well as future potentials and challenges of satellite earth observation for permafrost related analyses. The development of analysed environmental subjects, utilized sensors and platforms, and the number of annually published articles over time are addressed in detail. Studies linked to atmospheric features and processes, such as the release of greenhouse gas emissions, appear to be strongly under-represented. Investigations on the spatial distribution of study locations revealed distinct study clusters across the Arctic. At the same time, large sections of the continuous permafrost domain are only poorly covered and remain to be investigated in detail. A general trend towards increasing attention in satellite earth observation of permafrost and related processes and features was observed. The overall amount of published articles hereby more than doubled since the year 2015. New sources of satellite data, such as the Sentinel satellites and the Methane Remote Sensing LiDAR Mission (Merlin), as well as novel methodological approaches, such as data fusion and deep learning, will thereby likely improve our understanding of the thermal state and distribution of permafrost, and the effects of its degradation. Furthermore, cloud-based big data processing platforms (e.g. Google Earth Engine (GEE)) will further enable sophisticated and long-term analyses on increasingly larger scales and at high spatial resolutions.
In this thesis, a specific focus was put on Arctic permafrost coasts, which feature increasing vulnerability to environmental parameters, such as the thawing of frozen ground, and are therefore associated with amplified erosion rates. In particular, a novel monitoring framework for quantifying Arctic coastal erosion rates within the permafrost domain at high spatial resolution and on a circum-Arctic scale is presented within this thesis. Challenging illumination conditions and frequent cloud cover restrict the applicability of optical satellite imagery in Arctic regions. In order to overcome these limitations, Synthetic Aperture RADAR (SAR) data derived from Sentinel-1 (S1), which is largely independent from sun illumination and weather conditions, was utilized. Annual SAR composites covering the months June–September were combined with a Deep Learning (DL) framework and a Change Vector Analysis (CVA) approach to generate both a high-quality and circum-Arctic coastline product as well as a coastal change product that highlights areas of erosion and build-up. Annual composites in the form of standard deviation (sd) and median backscatter were computed and used as inputs for both the DL framework and the CVA coastal change quantification. The final DL-based coastline product covered a total of 161,600 km of Arctic coastline and featured a median accuracy of ±6.3 m to the manually digitized reference data. Annual coastal change quantification between 2017–2021 indicated erosion rates of up to 67 m per year for some areas based on 400 m coastal segments. In total, 12.24% of the investigated coastline featured an average erosion rate of 3.8 m per year, which corresponds to 17.83 km2 of annually eroded land area. Multiple quality layers associated to both products, the generated DL-coastline and the coastal change rates, are provided on a pixel basis to further assess the accuracy and applicability of the proposed data, methods, and products.
Lastly, the extracted circum-Arctic erosion rates were utilized as a basis in an experimental framework for estimating the amount of permafrost and carbon loss as a result of eroding permafrost coastlines. Information on permafrost fraction, Active Layer Thickness (ALT), soil carbon content, and surface elevation were thereby combined with the aforementioned erosion rates. While the proposed experimental framework provides a valuable outline for quantifying the volume loss of frozen ground and carbon release, extensive validation of the utilized environmental products and resulting volume loss numbers based on 200 m segments are necessary. Furthermore, data of higher spatial resolution and information of carbon content for deeper soil depths are required for more accurate estimates.
Cancer is one of the leading causes of death worldwide, with currently assessed chances to develop at least one cancer in a lifetime for about 20%. High cases rates and mortality require the development of new anticancer therapies and treatment strategies. Another important concern is toxicity normally associated with conventional therapy methods, such as chemo- and radiotherapy. Among many proposed antitumoral agents, oncolytic viruses are still one of the promising and fast-developing fields of research with almost a hundred studies published data on over 3000 patients since the beginning of the new millennia.
Among all oncolytic viruses, the Vaccinia virus is arguably one of the safest, with an extremely long and prominent history of use, since it was the one and only vaccine used in the Smallpox Eradication Program in the 1970s. Interestingly enough, it was the first oncolytic virus proven to have tumor tropism in vitro and in vivo in laboratory settings, and this year we can celebrate an unofficial 100th anniversary since the publication of the fact. While being highly immunogenic, Vaccinia virus DNA replication takes place in the cytoplasm of the infected cell, and virus genes never integrate into the host genome. Another advantage of using Vaccinia as an oncolytic agent is its high genome capacity, which allows inserting up to 25 kbps of exogenous genes, thus allowing to additionally arm the virus against the tumor.
Oncolytic virus action consists of two major parts: direct oncolysis and immune activation against the tumor, with the latter being the key to successful treatment. To this moment, preclinical research data are mostly generated in immunocompromised xenograft models, which have hurdles to be properly translated for clinical use. In the first part of the current study, fourteen different recombinant Vaccinia virus strains were tested in two different murine tumor cell lines and corresponding immunocompetent animal models. We found, that Copenhagen backbone Vaccinia viruses while being extremely effective in cell culture, do not show significant oncolytic efficacy in animals. In contrast, several of the LIVP backbone viruses tested (specifically, IL-2 expressing ones) have little replication ability when compared to the Copenhagen strain, but are able to significantly delay tumor growth and prolong survival of the treated animals. We have also noted cytokine related toxicity of the animals to be mouse strain specific.
We have also tested the virus with the highest therapeutic benefit in combination with romidepsin and cyclophosphamide. While the combination with histone deacetylase inhibitor romidepsin did not result in therapeutic benefit in our settings, the addition of cyclophosphamide significantly improved the efficacy of the treatment, at the same time reducing cytokine-associated toxicity of the IL-2 expressing virus.
In the second part of the work, we analyzed the ability of adipose-derived mesenchymal stem cells to serve as a carrier for the oncolytic Vaccinia virus. We showed for the first time that the cells can be infected with the virus and can generate virus progeny. They are also able to survive for a substantially long time and, when injected into the bloodstream of tumor-bearing animals, produce the virus that is colonizing the tumor. Analysis of the systemic distribution of the cells after injection revealed that infected and uninfected cells are not distributed in the same manner, possibly suggesting that infected cells are getting recognized and cleared by an impaired immune system of athymic mice faster than non-infected cells. Despite this, injection of virus-loaded adipose-derived mesenchymal stem cells to human A549 tumor-bearing xenograft mice resulted in rapid tumor regression and reduced virus-related side effects of the treatment when compared to injection of the naked virus.
In conclusion, we have tested two different approaches to augmenting oncolytic Vaccinia virus therapy. First, the combination of recombinant Vaccinia virus expressing IL-2 and cyclophosphamide showed promising results in a syngeneic mouse model, despite the low permissivity of murine cells to the virus. Second, we loaded the oncolytic Vaccinia virus into mesenchymal stem cells and have proven that they can potentially serve as a vehicle for the virus.
Biological Substrates of Waiting Impulsivity in Children and Adolescents with and without ADHD
(2023)
Focus of the present work were the questions whether and how the concept of waiting impulsivity (WI), defined as the ability to regulate a response in anticipation of reward and measured by the 4-choice serial reaction time task (4-CSRTT), may contribute to our understanding of Attention-Deficit/Hyperactivity Disorder (ADHD) and its neurobiological underpinnings.
To address this topic, two studies were conducted: in a first study, the relationship be-tween 4-CSRTT behavioral measures, neural correlates and ADHD symptom domains, i.e. inattention (IA) and hyperactivity/impulsivity (H/I) was explored in a pooled sample of 90 children and adolescents with (n=44) and without (n=46) ADHD diagnosis. As ex-pected, IA was associated with dorsolateral prefrontal brain regions linked with executive functions and attentional control, which was evident on the structural and the functional level. Higher levels of both IA and H/I covaried with decreased activity in the right ven-trolateral prefrontal cortex (PFC), a central structure for response inhibition. Moderation analyses revealed that H/I-related decreased activation in this region did not map linearly on difficulties on the behavioral level: brain activation was a significant predictor of task accuracy only, when H/I symptoms were low/absent but not for clinically relevant ADHD symptoms. Further, H/I was implicated in dysfunctional top-down control of reward eval-uation. Both symptom domains correlated positively with hippocampus (HC) activity in anticipation of reward. In addition, for high H/I symptoms, greater activation in the HC was found to correlate with higher motivation on the behavioral level, indicating that rein-forcement-learning and/or contingency awareness may contribute to altered reward pro-cessing in ADHD patients.
In a second study, the possible serotonergic modulation of WI and the ADHD-WI relation-ship was addressed in a sub-sample comprising 86 children and adolescents of study I. The effects of a functional variant in the gene coding for the rate-limiting enzyme in the synthesis of brain serotonin on behavior and structure or function of the WI-network was investigated. Moderation analyses revealed that on the behavioral level, a negative corre-lation between accuracy and IA was found only in GG-homozygotes, whereas no signifi-cant relationship emerged for carriers of the T-allele. This is in line with previous reports of differential effects of serotonergic modulation on attentional performance depending on the presence of ADHD symptoms. A trend-wise interaction effect of genotype and IA for regional volume of the right middle frontal gyrus was interpreted as a hint towards an involvement of the PFC in this relationship, although a more complex mechanism includ-ing developmental effects can be assumed. In addition, interaction effects of genotype and IA were found for brain activation in the amygdala (AMY) und HC during perfor-mance of the 4-CSRTT, while another interaction was found for H/I symptoms and geno-type for right AMY volume. These findings indicate a serotonergic modulation of coding of the emotional value of reward during performance of the 4-CSRTT that varies de-pending on the extent of psychopathology-associated traits.
Taken together, it was shown that the 4-CSRTT taps distinct domains of impulsivity with relevance to ADHD symptomatology: (proactive) response inhibition difficulties in relation with anticipation of reward. Furthermore, the two symptom domains, IA and H/I, contrib-ute differently to WI, which emphasizes the need to distinguish both in the research of ADHD. The results of study II emphasized the relevance of serotonergic transmission especially for attentional control and emotional processing. Although the present findings need replication and further refinement in more homogenous age groups, the use of the 4-CSRTT with a dimensional approach is a very promising strategy, which will hopefully extend our understanding of impulsivity-related mental disorders in the future.
The main objective of this study was to test whether subjects with different degrees of bruxism differ regarding EMG parameters and whether CES intervention affects those parameters. The hypothesis was that CES influences EMG parameters and after its’ cessation, all EMG parameters return to baseline (exposure–response relationship).
For this purpose, forty subjects were examined, 16 men and 24 women, matched for age and gender and assigned randomly in the intervention (N=20) and control group (N=20). The procedure was as follows: 1-week inactive GC (N=40), 2 weeks inactive/active GC (N=20/N=20), 2 weeks inactive GC (N=40). Each interval was followed by a surface EMG recording from eight muscle parts (right and left anterior -, medial -, and posterior masseter and right and left anterior temporalis) under force-controlled feedback (BiteFork®) with three submaximal bite forces. The resulting EMG activity is expressed as RMS % MVC and RMS at MVC. The statistics is performed with t-test, one-way rmANOVA, and Friedman rmANOVA on ranks, according to the distribution of the data. The significance level was set at p≤0.05.
The results generated from the within-groups and between-groups comparison were mostly not statistically significant and could therefore not offer clinically relevant conclu-sions.
However, it cannot be excluded that a higher submaximal bite force and an extended intervention interval would have rendered different outcomes. The insufficient study sample resulted in a low observed power which makes the findings prone to Type II er-ror. It can be concluded that this study did not find any substantiating differences be-tween the EMG values of participants with various bruxism activity and that CES could not influence the studied EMG parameters in the two weeks intervention time.
Our hypothesis which supposes that subjects with high and low bruxism activity differ in RMS % MVC could not be verified. However, with the gained knowledge, it is recom-mended to further elaborate a definite bruxism diagnosis by using portable EMG devices.
This decade saw the development of new high-end light microscopy approaches. These technologies are increasingly used to expand our understanding of cellular function and the molecular mechanisms of life and disease. The precision of state-of-the-art super resolution microscopy is limited by the properties of the applied fluorescent label. Here I describe the synthesis and evaluation of new functional fluorescent probes that specifically stain gephyrin, universal marker of the neuronal inhibitory post-synapse. Selected probe precursor peptides were synthesised using solid phase peptide synthesis and conjugated with selected super resolution capable fluorescent dyes. Identity and purity were defined using chromatography and mass spectrometric methods. To probe the target specificity of the resulting probe variants in cellular context, a high-throughput assay was established. The established semi-automated and parallel workflow was used for the evaluation of three selected probes by defining their co-localization with the expressed fluorescent target protein. My work provided NN1Dc and established the probe as a visualisation tool for essentially background-free visualisation of the synaptic marker protein gephyrin in a cellular context. Furthermore, NN1DA became part of a toolbox for studying the inhibitory synapse ultrastructure and brain connectivity and turned out useful for the development of a label-free, high-throughput protein interaction quantification assay.
About 2.4 billion years ago, nature has fundamentally revolutionized life on earth by inventing the multi-subunit protein complex photosystem II, the only molecular machine in nature that catalyzes the thermodynamically demanding photosynthetic splitting of water into oxygen and reducing equivalents. Nature chose a distorted Mn4CaO5 cluster as catalyst, better known as oxygen-evolving complex (OEC), thus recognizing the need for transition metals to achieve high-performance catalysts. The curiosity has always driven mankind to mimic nature’s achievements, but the performance of natural enzymes such as the oxygen-evolving complex in photosystem II remain commonly unmatched. An important role in fine-tuning and regulating the activity of natural enzymes is attributed to the surrounding protein domain, which facilitates substrate preorganization within well-defined nanoenvironments.
In light of growing energy demands and the depletion of fossil fuels, the unparalleled efficiency of natural photosynthesis inspires chemists to artificially mimic its natural counterpart to generate hydrogen as a ‘solar fuel’ through the light-driven splitting of water. As a result, significant efforts have been devoted in recent decades to develop molecular water oxidation catalysts based on earth-abundant transition metals and the discovery of the Ru(bda) (bda: 2,2’ bipyridine-6,6’-dicarboxylate) catalyst family enabled activities comparable to the natural OEC. Similar to the natural archetypes, the design of homogeneous catalysts that interplay judiciously with the second coordination sphere of the outer ligand framework proved to be a promising concept for catalyst design. In this present thesis, novel supramolecular design approaches for enzyme like activation of substrate water molecules for the challenging oxidative water splitting reaction were established via tailor-made engineering of the secondary ligand environment of macrocyclic Ru(bda) catalysts.
The landscape of today’s programming languages is manifold. With the diversity of applications, the difficulty of adequately addressing and specifying the used programs increases. This often leads to newly designed and implemented domain-specific languages. They enable domain experts to express knowledge in their preferred format, resulting in more readable and concise programs. Due to its flexible and declarative syntax without reserved keywords, the logic programming language Prolog is particularly suitable for defining and embedding domain-specific languages.
This thesis addresses the questions and challenges that arise when integrating domain-specific languages into Prolog. We compare the two approaches to define them either externally or internally, and provide assisting tools for each. The grammar of a formal language is usually defined in the extended Backus–Naur form. In this work, we handle this formalism as a domain-specific language in Prolog, and define term expansions that allow to translate it into equivalent definite clause grammars. We present the package library(dcg4pt) for SWI-Prolog, which enriches them by an additional argument to automatically process the term’s corresponding parse tree. To simplify the work with definite clause grammars, we visualise their application by a web-based tracer.
The external integration of domain-specific languages requires the programmer to keep the grammar, parser, and interpreter in sync. In many cases, domain-specific languages can instead be directly embedded into Prolog by providing appropriate operator definitions. In addition, we propose syntactic extensions for Prolog to expand its expressiveness, for instance to state logic formulas with their connectives verbatim. This allows to use all tools that were originally written for Prolog, for instance code linters and editors with syntax highlighting. We present the package library(plammar), a standard-compliant parser for Prolog source code, written in Prolog. It is able to automatically infer from example sentences the required operator definitions with their classes and precedences as well as the required Prolog language extensions. As a result, we can automatically answer the question: Is it possible to model these example sentences as valid Prolog clauses, and how?
We discuss and apply the two approaches to internal and external integrations for several domain-specific languages, namely the extended Backus–Naur form, GraphQL, XPath, and a controlled natural language to represent expert rules in if-then form. The created toolchain with library(dcg4pt) and library(plammar) yields new application opportunities for static Prolog source code analysis, which we also present.
Monarch butterflies are famous for their annual long-distance migration. Decreasing temperatures and reduced daylight induce the migratory state in the autumn generation of monarch butterflies. Not only are they in a reproductive diapause, they also produce fat deposits to be prepared for the upcoming journey: Driven by their instinct to migrate, they depart from their eclosion grounds in the northern regions of the North American continent and start their southern journey to their hibernation spots in Central Mexico. The butterflies cover a distance of up to 4000 km across the United States. In the next spring, the same butterflies invert their preferred heading direction due to seasonal changes and start their northward spring migration. The spring migration is continued by three consecutive butterfly generations, until the animals repopulate the northern regions in North America as non-migratory monarch butterflies. The monarch butterflies’ migratory state is genetically and epigenetically regulated, including the directed flight behavior. Therefore, the insect’s internal compass system does not only have to encode the butterflies preferred, but also its current heading direction. However, the butterfly’s internal heading representation has to be matched to external cues, to avoid departing from its initial flight path and increasing its risk of missing its desired destination. During the migratory flight, visual cues provide the butterflies with reliable orientation information. The butterflies refer to the sun as their main orientation cue. In addition to the sun, the butterflies likely use the polarization pattern of the sky for orientation. The sky compass signals are processed within a region in the brain, termed the central complex (CX). Previous research on the CX neural circuitry of the monarch butterflies demonstrated that tangential central complex neurons (TL) carry the visual input information into the CX and respond to a simulated sun and polarized light. However, whether these cells process additional visual cues like the panoramic skyline is still unknown. Furthermore, little is known about how the migratory state affects visual cue processing. In addition to this, most experiments studying the monarch butterfly CX focused on how neurons process single visual cues. However, how combined visual stimuli are processed in the CX is still unknown.
This thesis is investigating the following questions:
1) How does the migratory state affect visual cue processing in the TL cells within the monarch butterfly brain?
2) How are multiple visual cues integrated in the TL cells?
3) How is compass information modulated in the CX?
To study these questions, TL neurons from both animal groups (migratory and non-migratory) were electrophysiologically characterized using intracellular recordings while presenting different simulated celestial cues and visual sceneries. I showed that the TL neurons of migratory butterflies are more narrowly tuned to the sun, possibly helping them in keeping a directed flight course during migration. Furthermore, I found that TL cells encode a panoramic skyline, suggesting that the CX network combines celestial and terrestrial information. Experiments with combined celestial stimuli revealed that the TL cells combine both cue information linearly. However, if exposing the animals to a simulated visual scenery containing a panoramic skyline and a simulated sun, the single visual cues are weighted differently. These results indicate that the CX’s input region can flexibly adapt to different visual cue conditions. Furthermore, I characterize a previously unknown neuron in the monarch butterfly CX which responds to celestial stimuli and connects the CX with other brain neuropiles. How this cell type affects heading direction encoding has yet to be determined.
The receptor activity-modifying proteins (RAMPs) are ubiquitously expressed membrane proteins that interact with several G protein-coupled receptors (GPCRs), the largest and pharmacologically most important family of cell surface receptors. RAMPs can regulate GPCR function in terms of ligand-binding, G-protein coupling, downstream signaling, trafficking, and recycling. The integrity of their interactions translates to many physiological functions or pathological conditions.
Regardless of numerous reports on its essential importance for cell biology and pivotal role in (patho-)physiology, the molecular mechanism of how RAMPs modulate GPCR activation remained largely elusive.
This work presents new insights that add to the common understanding of the allosteric regulation of receptor activation and will help interpret how accessory proteins - RAMPs - modulate activation dynamics and how this affects the fundamental aspects of cellular signaling. Using a prototypical class B GPCR, the parathyroid hormone 1 receptor (PTH1R) in the form of advanced genetically encoded optical biosensors, I examined RAMP's impact on the PTH1R activation and signaling in intact cells. A panel of single-cell FRET and confocal microscopy experiments as well canonical and non-canonical functional assays were performed to get a holistic picture of the signaling initiation and transduction of that clinically and therapeutically relevant GPCR. Finally, structural modeling was performed to add molecular mechanistic details to that novel art of modulation.
I describe here that RAMP2 acts as a specific allosteric modulator of PTH1R, shifting PTH1R to a unique pre-activated state that permits faster activation in a ligand-specific manner. Moreover, RAMP2 modulates PTH1R downstream signaling in an agonist-dependent manner, most notably increasing the PTH-mediated Gi3 signaling sensitivity and kinetics of cAMP accumulation. Additionally, RAMP2 increases PTH- and PTHrP-triggered β-arrestin2 recruitment to PTH1R and modulates cytosolic ERK1/2 phosphorylation. Structural homology modeling shows that structural motifs governing GPCR-RAMP interaction originate in allosteric hotspots and rationalize functional modulation. Moreover, to interpret the broader role of RAMP's modulation in GPCRs pharmacology, different fluorescent tools to investigate RAMP's spatial organization were developed, and novel conformational biosensors for class B GPCRs were engineered. Lastly, a high throughput assay is proposed and prototyped to expand the repertoire of RAMPs or other membrane protein interactors.
These data uncover the critical role of RAMPs in GPCR activation and signaling and set up a novel platform for studying GPCR modulation. Furthermore, these insights may provide a new venue for precise modulation of GPCR
function and advanced drug design.
Magnetism is a phenomenon ubiquitously found in everyday life. Yet, together with superconductivity and superfluidity, it is among the few macroscopically realized quantum states. Although well-understood on a quasi-classical level, its microscopic description is still far from being solved. The interplay of strong interactions present in magnetic condensed-matter systems and the non-trivial commutator structure governing the underlying spin algebra prevents most conventional approaches in solid-state theory to be applied.
On the other hand, the quantum limit of magnetic systems is fertile land for the development of exotic phases of matter called spin-liquids. In these states, quantum fluctuations inhibit the formation of magnetic long-range order down to the lowest temperatures. From a theoretical point of view, spin-liquids open up the possibility to study their exotic properties, such as fractionalized excitations and emergent gauge fields. However, despite huge theoretical and experimental efforts, no material realizing spin-liquid properties has been unambiguously identified with a three-dimensional crystal structure. The search for such a realization is hindered by the inherent difficulty even for model calculations. As most numerical techniques are not applicable due to the interaction structure and dimensionality of these systems, a methodological gap has to be filled.
In this thesis, to fill this void, we employ the pseudo-fermion functional renormalization group (PFFRG), which provides a scheme to investigate ground state properties of quantum magnetic systems even in three spatial dimensions.
We report the status quo of this established method and extend it by alleviating some of its inherent approximations. To this end, we develop a multi-loop formulation of PFFRG, including hitherto neglected terms in the underlying flow equations consistently, rendering the outcome equivalent to a parquet approximation. As a necessary prerequisite, we also significantly improve the numerical accuracy of our implementation of the method by switching to a formulation respecting the asymptotic behavior of the vertex functions as well as employing state-of-the-art numerical algorithms tailored towards PFFRG. The resulting codebase was made publicly accessible in the open-source code PFFRGSolver.jl.
We subsequently apply the technique to both model systems and real materials. Augmented by a classical analysis of the respective models, we scan the phase diagram of the three-dimensional body-centered cubic lattice up to third-nearest neighbor coupling and the Pyrochlore lattice up to second-nearest neighbor. In both systems, we uncover in addition to the classically ordered phases, an extended parameter regime, where a quantum paramagnetic phase appears, giving rise to the possibility of a quantum spin liquid.
Additionally, we also use the nearest-neighbor antiferromagnet on the Pyrochlore lattice as well as the simple cubic lattice with first- and third-nearest neighbor couplings as a testbed for multi-loop PFFRG, demonstrating, that the inclusion of higher loop orders has quantitative effects in paramagnetic regimes and that the onset of order can be signaled by a lack of loop convergence.
Turning towards material realizations, we investigate the diamond lattice compound MnSc\(_2\)S\(_4\), explaining on grounds of ab initio couplings the emergence of a spiral spin liquid at low temperatures, but above the ordering transition.
In the Pyrochlore compound Lu\(_2\)Mo\(_2\)O\(_5\)N\(_2\), which is known to not magnetically order down to lowest temperatures, we predict a spin liquid state displaying a characteristic gearwheel pattern in the spin structure factor.
From simply ringing a bell to preparing a five-course menu, human behavior commonly causes changes in the environment. Such episodes where an agent acts, thereby causing changes in their environment constitute the sense of agency. In this thesis four series of experi-ments elucidate how the sense of agency is represented in complex action-event sequences, thereby bridging a gap between basic cognitive research and real-life practice. It builds upon extensive research on the sense of agency in unequivocal sequences consisting of single ac-tions and distinct, predominantly auditory, outcomes. Employing implicit as well as explicit measures, the scope is opened up to multi-step sequences.
The experiments show that it is worthwhile devoting more research to complex action-event sequences. With a newly introduced auditory measure (Chapter II), common phenomena such as temporal binding and a decrease in agency ratings following distorted feedback were replicated in multi-step sequences. However, diverging results between traditional implicit and explicit measures call for further inspection. Multisensory integration appears to gain more weight when multiple actions have to be performed to attain a goal leading to more accurate representations of the own actions (Chapter III). Additionally, freedom of choice (Chapter III) as well as early spatial ambiguity altered the perceived timing of outcomes, while late spatial ambi-guity (Chapter IV) and the outcome’s self-relevance did not (Chapter V). The data suggests that the cognitive system is capable of representing multi-step action-event sequences implicitly and explicitly. Actions and sensory events show a temporal attraction stemming from a bias in the perception of outcomes. Explicit knowledge about causing an event-sequence facilitates neither feelings of control nor taking authorship. The results corroborate current theorizing on the un-derpinnings of temporal binding and the divergence between traditional implicit and explicit measures of the sense of agency. Promising avenues for further research include structured analyses of how much inferred causality contributes to implicit and explicit measures of agency as well as finding alternative measures to capture conceptual as well as non-conceptual facets of the agency experience with one method.
Humans spontaneously blink several times a minute. These blinks are strongly modulated during various cognitive task. However, the precise function of blinking and the reason for their modulation has not been fully understood. In the present work, I investigated the function of spontaneous blinks through various perceptual and cognitive tasks. Previous research has revealed that blinks rates decrease during some tasks but increase during others. When trying to understand these seemingly contradictory results, I observed that blink reduction occurs when one engages with an external input. For instance, a decrease has been observed due to the onset of a stimulus, sensory input processing and attention towards sensory input. However, for activities that do not involve such an engagement, e.g. imagination, daydreaming or creativity, the blink rate has been shown to increase. To follow up on the proposed hypothesis, I distinguished tasks that involve the processing of an external stimulus and tasks that involve disengagement.
In the first part of the project, I explored blinking during stimulus engagement. If the probability of blinking is low when engaging with the stimulus, then one should find a reduction in blinks specifically during the time period of processing but not during sensory input per se. To this end, in study 1, I tested the influence of task-relevant information duration on blink timing and additionally manipulated the overall sensory input using a visual and an auditory temporal simultaneity judgement task. The results showed that blinks were suppressed longer for longer periods of relevant information or in other words, blinks occurred at the end of relevant information processing for both the visual and the auditory modality. Since relevance is mediated through top-down processes, I argue that the reduction in blinks is a top-down driven suppression. In studies 2 and 3, I again investigated stimulus processing, but in this case, processing was triggered internally and not based on specific changes in the external input. To this end, I used bistable stimuli, in which the actual physical stimulus remains constant but their perception switches between different interpretations. Studies on the involvement of attention in such bistable perceptual changes indicate that the sensory input is reprocessed before the perceptual switch. The results revealed a reduction in eye blink rates before the report of perceptual switches. Importantly, I was able to decipher that the decrease was not caused by the perceptual switch or the behavioral response but likely started before the internal switch. Additionally, periods between a blink and a switch were longer than interblink intervals, indicating that blinks were followed by a period of stable percept. To conclude, the first part of the project revealed that there is a top-down driven blink suppression during the processing of an external stimulus.
In the second part of the project, I extended the idea of blinks marking the disengagement from external processing and tested if blinking is associated with better performance during internally directed processes. Specifically, I investigated divergent thinking, an aspect of creativity, and the link between performance and blink rates as well as the effect of motor restriction. While I could show that motor restriction was the main factor influencing divergent thinking, the relationship between eye blink rates and creative output also depended on restriction. Results showed that higher blink rates were associated with better performance during free movement, but only between subjects. In other words, subjects who had overall higher blink rates scored better in the task, but when they were allowed to sit or walk freely. Within a single subject, trial with higher blink rates were not associated with better performance. Therefore, possibly, people who are able to disengage easily, as indicated by an overall high blink rate, perform better in divergent thinking tasks. However, the link between blink rate and internal tasks is not clear at this point. Indeed, a more complex measurement of blink behavior might be necessary to understand the relationship.
In the final part of the project, I aimed to further understand the function of blinks through their neural correlates. I extracted the blink-related neural activity in the primary visual cortex (V1) of existing recordings of three rhesus monkeys during different sensory processing states. I analyzed spike related multi-unit responses, frequency dependent power changes, local field potentials and laminar distribution of activity while the animal watched a movie compared to when it was shown a blank screen. The results showed a difference in blink-related neural activity dependent on the processing state. This difference suggests a state dependent function of blinks.
Taken altogether, the work presented in this thesis suggests that eye blinks have an important function during cognitive and perceptual processes. Blinks seem to facilitate a disengagement from the external world and are therefore suppressed during intended processing of external stimuli.
Megakaryocytes (MKs) are the largest cells of the hematopoietic system and the precursor cells of platelets. During proplatelet formation (PPF) bone marrow (BM) MKs extent large cytoplasmic protrusions into the lumen of sinusoidal blood vessels. Under homeostatic conditions PPF occurs exclusively in the direction of the sinusoid, while platelet generation into the marrow cavity is prevented. So far, the mechanisms regulating this process in vivo are still not completely understood, especially when PPF is deregulated during disease. This thesis investigated the mechanisms of PPF in native BM and after myeloablation by total body irradiation (TBI).
First, we have identified a specialized type of BM stromal cells, so called CXCL12-abundant reticular (CAR) cells, as novel possible regulators of PPF. By using complementary high-resolution microscopy techniques, we have studied the morphogenetic events at the MK/vessel wall interface in new detail, demonstrating that PPF formation preferentially occurs at CAR cell-free sites at the endothelium.
In the second part of this thesis, we analyzed the processes leading to BM remodeling in response to myeloablation by TBI. We used confocal laser scanning microscopy (CLSM) to study the kinetic of radiation-triggered vasodilation and mapped extracellular matrix (ECM) proteins after TBI. We could demonstrate that collagen type IV and laminin α5 are specifically degraded at BM sinusoids. At the radiation-injured vessel wall we observed ectopic release of platelet-like particles into the marrow cavity concomitantly to aberrant CAR cell morphology, suggesting that the balance of factors regulating PPF is disturbed after TBI. ECM proteolysis is predominantly mediated by the matrix metalloproteinase MMP9, as revealed by gelatin-zymography and by a newly established BM in situ zymography technique. In transgenic mice lacking MMP9 vascular recovery was delayed, hinting towards a role of MMP9 in vessel reconstitution after myeloablation.
In a third series of experiments, we studied the irradiated BM in the context of hematopoietic stem cell transplantation (HSCT). By using mice as BM donors that ubiquitously express the fluorescent reporter protein dsRed we tracked engraftment of donor cells and especially MKs in the recipient BM. We found a distinct engraftment pattern and cluster formation for MKs, which is different from other blood cell lineages.
Finally, we assessed platelet function after TBI and HSCT and were the first to demonstrate that platelets become massively hyporeactive, particularly upon stimulation of the collagen receptor GPVI.
In summary, our findings shed light on the processes of PPF during health and disease which will help to develop treatments for aberrant thrombopoiesis.
Facing Enemies. Modulation of Revenge Interactions based on Opponent State Indicators of Suffering
(2023)
Research on revenge often treats vengeful acts as singular one-way experiences, an approach which fails to account for the social nature and functions of revenge. This dissertation aims to integrate emotional punishment reactions into dynamic revenge sequences to investigate the affective and cognitive consequences of revenge within a social interaction.
Exacting revenge can evoke intense affective consequences, from feelings of guilt to the genuine enjoyment of the suffering of others. In Chapter 2, affective responses towards suffering opponents and the regulation of aggression based on the appraisal of distinct suffering indicators were investigated. Results indicate that the observation of opponent pain evokes positive affect (measured via facial muscle contractions during the observation), which is followed by a downregulation of subsequent punishment. Both, positive affective reactions and the downregulation of punishment, were only observed following pain and not sadness expressions. Empathic distress, indexed by negative affective reactions, was only present following the observation of pain in non-provoking opponents. Showcasing the modulation of empathy related processes due to provocation and competition.
In Chapter 3, a significant escalation of punishment, when being confronted with Schadenfreude, was observed. Results are interpreted as supporting the assumption that opponent monitoring processes inform subsequent action selection. The observation of opponent smiles led to imitation behavior (facial mimicry), which was partially attenuated due to previous provocation. The different functions of smile mimicry in the context of the aggressive competitive setting are discussed as containing simulation aspects (to aid in opponent understanding) and as a potential mirroring of dominance gestures, to avoid submission.
In an additional series of studies, which are presented in Chapter 4, changes in memory of opponent faces following vengeful encounters were measured. Based on provocation, and punishment outcomes (pain & anger), face memory was distorted, resulting in more positive representations of opponents that expressed pain. These results are discussed as evidence of the impact of outcome appraisals in the formation of opponent representations and are theorized to aid empathy avoidance in future interactions.
The comparison of desired and observed opponent states, is theorized to result in appraisals of the punishment outcomes, which evoke affective states, inform the action selection of subsequent punishments, and are integrated into the representation of the opponent in memory.
Overall, the results indicate that suffering cues that are congruent with the chosen punishment action are appraised as positive, evoking an increase in positive affect. The emergence of positive affect during the observation of successful aggressive actions supports recent theories about the chronification of aggressive behavior based on reinforcement learning. To allow positive affect to emerge, affective empathic responses, such as distress, are theorized to be suppressed to facilitate the goal attainment process. The suffering of the opponent constitutes the proximate goal during revenge taking, which highlights the importance of a theoretical differentiation of proximate and ultimate goals in revenge to allow for a deeper understanding of the underlying motives of complex revenge behavior.
In this thesis, intermolecular acceptor-acceptor interactions in organic solar cells based on new non-fullerene acceptors are addressed. For this purpose, first the reproducibility of organic electronic devices was tested on a new facility for their fabrication. This was followed by the screening for new acceptor materials. Based on this, three molecular systems were investigated with regard to their acceptor-acceptor interactions and their influence on solar cell efficiency.
Single-molecule dynamics at a bottleneck: a systematic study of the narrow escape problem in a disc
(2023)
Diffusion facilitates numerous reactions within the biological context of a cell. It is remarkable how the cost-efficient random process of Brownian motion promotes fast reactions. From the narrow escape theory, it is possible to determine the mean first passage time of such processes based on their reaction space and diffusion coefficient. The narrow escape theory of Brownian particles is characterized by a confining domain with reflective boundaries and a small reaction site. In this thesis, the mean first passage time was systematically tested in a disc as a function of the escape opening size in vitro and in silico. For the in vitro experiments, a model system of patterned supported-lipid bilayers (SLB) was established. Such a model is prepared by a combined colloid metalization approach, where a gold scaffold on glass facilitates assembly of SLB patches of distinct sizes through vesicle fusion. The model setup was evaluated and found to match all necessary requirements to test the nar- row escape problem in vitro. In particular, the reflectivity of the boundaries, the unhindered, free diffusion of the tracer lipids, and the distinct area were assessed. Observed results of the mean first passage time agreed with the theory of the narrow escape problem. There was excellent agreement in both absolute values and across a range of small escape opening sizes. Additionally, I developed a straightforward method, a correction factor, to calculate the mean first passage time from incomplete experimental traces. By re-scaling the mean first passage time to the fraction of particles that escaped, I was able to overcome the lifetime limitations of fluorescent probes. Previously inaccessible measurements of the mean first passage time relying on fluorescent probes will be made possible through this approach. The in vitro experiments were complemented with various in silico experiments. The latter were based on random walk simulations in discs, mimicking the in vitro situation with its uncertainties. The lifetime of single particles was either set sufficiently long to allow all particles to escape, or was adjusted to meet the lifetime limitations observed in the in vitro experiments. A comparison of the mean first passage time from lifetime-unlimited particles to the corrected, lifetime-limited particles did support the use of the correction factor. In agreement with the narrow escape theory, it was experimentally found that the mean first passage time is independent of the start point of the particle within the domain. This is when the particle adheres to a minimum distance to the escape site. In general, the presented random walk simulations do accurately represent the in vitro experiments in this study. The required hardware for the establishment of an astigmatism-based 3D system was installed in the existing microscope. The first attempts to analyze the obtained 3D imaging data gave insight into the potential of the method to investigate molecule dynamics in living trypanosome cells. The full functionality will be realized with the ongoing improvement of image analysis outside of this thesis.
The hunt for topological materials is one of the main topics of recent research in condensed matter physics. We analyze the 4-band Luttinger model, which considers the total angular momentum \(j = 3/2\) hole states of many semiconductors. Our analysis shows that this model hosts a wide array of topological phases and allows analytical calculations of the related topological surface states. The existence of these surface states is highly desired due to their strong protection against perturbations.
In the first part of the thesis, we predict the existence of either one or two two-dimensional (2D) surface states of topological origin in the three-dimensional (3D) quadratic-node semimetal phase of the Luttinger model, called the Luttinger semimetal phase. We associate the origin of these states with the inverted order of s and p-orbital states in the band structure and approximate chiral symmetry around the node. Hence, our findings are essential for many materials, including HgTe, α-Sn, and iridate compounds. Such materials are often modified with strain engineering by growing the crystal on a substrate with a different lattice constant, which adds a deformation potential to the electrons. While tensile strain is often used to drive such materials into a gapped topological insulator regime, we apply compressive strain to induce a topological semimetal regime. Here, we differentiate between Dirac and Weyl semimetals based on inversion and time-reversal symmetry being simultaneously present or not. One major part of this thesis is the theoretical study of the evolution of the Luttinger semimetal surface states in these topological semimetal phases.
The relative strength of the compressive strain and typical bulk inversion asymmetry (BIA) terms allow the definition of a symmetry hierarchy in the system. The cubic symmetric \(O_h\) Luttinger model is the highest symmetry low-energy parent model. Since the BIA terms in the Weyl semimetal phase are small in most materials, we find a narrow energy and momentum range around the Weyl points where the surface states form Fermi arcs between two Weyl nodes with opposite chirality. Consequently, we see 2D momentum planes between the Weyl points, which can be considered as effective 2D Chern insulators with chiral edge states connecting the valence and conduction band in the bulk gap. Exceeding the range of the BIA terms, the compressive strain becomes dominating, and the system behaves like a Dirac semimetal with two doubly degenerate linear Dirac nodes in the band structure. For energies larger than the compressive strain strength, the quadratic terms in the Luttinger model dominate and surface band structure is indistinguishable from an unperturbed Luttinger semimetal. To conclude this symmetry hierarchy, we analyze the limit of the Luttinger model when the remote \(j = 1/2\)
electron states show a considerable hybridization with the \(j = 3/2\) hole states around the Fermi level. Here, the Luttinger model is not valid anymore and one needs to consider more complicated models, like the 6-band Kane Hamiltonian.
In the second part of this thesis, we analyze theoretically two different setups for s-wave superconductivity proximitized \(j = 3/2\) particles in Luttinger materials under a magnetic field. First, we explore a one-dimensional wire setup, where the intrinsic BIA of inversion asymmetric crystals opens a topological gap in the bulk states. In contrast to wires, modeled by a quadratic dispersion with Rashba or Dresselhaus spin-orbit coupling, we find two topological phase transitions due to the different effects of magnetic fields to \(|j_z| = 3/2\) heavy-hole (HH) and \(|j_z| = 1/2\) light-hole (LH) states. Second, we discuss a two-dimensional Josephson junction setup, where we find Andreev-bound states inside the superconducting gap. Here, the intrinsic spin-orbit coupling of the Luttinger model is sufficient to open a topological gap even in the presence of inversion symmetry. This originates from the hybridization of the light and heavy-hole bands in combination with the superconducting pairing.
Consequently, both setups can form Majorana-bound states at the boundaries of the system.
The existence of these states are highly relevant in the scientific community due to their nonabelian braiding statistics and stability against decoherence, making them a prime candidate for the realization of topological quantum computation. Majorana-bound states form at zero energy and are protected by the topological gap. We predict that our findings of the topological superconductor phase of the Luttinger model are valid for both semimetal and metal phases. Hence, our study is additionally relevant for metallic systems, like p-doped GaAs. This opens a new avenue for the search for topological superconductivity.
The first is via direct dissociation and the second likely involves a barrier slowing down dissociation.
Chlorine-containing hydrocarbons pose a great risk for the environment and especially for the atmosphere. In this thesis I present the photodissociation dynamics of multiple chlorine-containing molecules. The method of velocity map imaging was utilized for gaining information on the kinetic energy distribution of the fragments generated in the photodissociation reactions.
First, the photodissociation of benzoyl chloride after excitation to the S1, S2 and the S3 state between 279 nm and 237 nm was studied. This stable molecule was an ideal candidate for demonstrating a new ionization scheme for chlorine atoms. It was shown that benzoyl chloride dissociates statistically from the ground state.
Afterwards, the results from experiments on the radicals trichloromethyl and dichlorocarbene are presented in the range of 230 to 250 nm. These radicals remain after the dissociation of carbon tetrachloride and have not been studied in detail because of their instability. Trichlormethyl dissociates via two paths: The loss of a chlorine atom to dichlorocarbene and by decaying to CCl and a chlorine molecule. The dissociation to dichlorocarbene involves a barrier. If the photon exciting the molecule has enough energy to surpass the barrier, which is the case starting at around 235 nm, trichlormethyl dissociates rapidly resulting in an anisotropic VMI. However, if the the excitation energy is lower, the dissociation takes longer than a rotational period and the anisotropy is lost.The path to CCl is a statistical dissociation.
Dichlorocarbene dissociates to CCl and Cl via to separate channels. The first is via direct dissociation and the second likely involves a barrier slowing down dissociation.
This thesis aimed at searching for new effective agents against Multidrug-Resistant Enterobacteriaceae. This is necessitated by the urgent need for new and innovative antibacterial agents addressing the critical priority pathogens prescribed by the World Health Organization (WHO). Among the available means for antibiotics discovery and development, nature has long remained a proven, innovative, and highly reliable gateway to successful antibacterial agents. Nevertheless, numerous challenges surrounding this valuable source of antibiotics among other drugs are limiting the complete realization of its potential. These include the availability of good quality data on the highly potential natural sources, limitations in methods to prepare and screen crude extracts, bottlenecks in reproducing biological potentials observed in natural sources, as well as hurdles in isolation, purification, and characterization of natural compounds with diverse structural complexities.
Through an extensive review of the literature, it was possible to prepare libraries of plant species and phytochemicals with reported high potentials against Escherichia coli and Klebsiella pneumnoniae. The libraries were profiled to highlight the existing patterns and relationships between the reported antibacterial activities and studied plants’ families and parts, the type of the extracting solvent, as well as phytochemicals’ classes, drug-likeness and selected parameters for enhanced accumulation within the Gram-negative bacteria. In addition, motivations, objectives, the role of traditional practices and other crucial experimental aspects in the screening of plant extracts for antibacterial activities were identified and discussed.
Based on the implemented strict inclusion criteria, the created libraries grant speedy access to well-evaluated plant species and phytochemicals with potential antibacterial activities. This way, further studies in yet unexplored directions can be pursued from the indicated or related species and compounds. Moreover, the availability of compound libraries focusing on related bacterial species serves a great role in the ongoing efforts to develop the rules of antibiotics penetrability and accumulation, particularly among Gram-negative bacteria. Here, in addition to hunting for potential scaffolds from such libraries, detailed evaluations of large pool compounds with related antibacterial potential can grant a better understanding of structural features crucial for their penetration and accumulation. Based on the scarcity of compounds with broad structural diversity and activity against Gram-negative bacteria, the creation and updating of such libraries remain a laborious but important undertaking.
A Pressurized Microwave Assisted Extraction (PMAE) method over a short duration and low-temperature conditions was developed and compared to the conventional cold maceration over a prolonged duration. This method aimed at addressing the key challenges associated with conventional extraction methods which require long extraction durations, and use more energy and solvents, in addition to larger quantities of plant materials. Furthermore, the method was intended to replace the common use of high temperatures in most of the current MAE applications. Interestingly, the yields of 16 of 18 plant samples under PMAE over 30 minutes were found to be within 91–139% of those obtained from the 24h extraction by maceration. Additionally, different levels of selectivity were observed upon an analytical comparison of the extracts obtained from the two methods. Although each method indicated selective extraction of higher quantities or additional types of certain phytochemicals, a slightly larger number of additional compounds were observed under maceration. The use of this method allows efficient extraction of a large number of samples while sparing heat-sensitive compounds and minimizing chances for cross-reactions between phytochemicals.
Moreover, findings from another investigation highlighted the low likelihood of reproducing antibacterial activities previously reported among various plant species, identified the key drivers of poor reproducibility, and proposed possible measures to mitigate the challenge. The majority of extracts showed no activities up to the highest tested concentration of 1024 µg/mL. In the case of identical plant species, some activities were observed only in 15% of the extracts, in which the Minimum Inhibitory Concentrations (MICs) were 4 – 16-fold higher than those in previous reports. Evaluation of related plant species indicated better outcomes, whereby about 18% of the extracts showed activities in a range of 128–512 μg/mL, some of the activities being superior to those previously reported in related species.
Furthermore, solubilizing plant crude extracts during the preparation of test solutions for Antibacterial Susceptibility Testing (AST) assays was outlined as a key challenge. In trying to address this challenge, some studies have used bacteria-toxic solvents or generally unacceptable concentrations of common solubilizing agents. Both approaches are liable to give false positive results. In line with this challenge, this study has underscored the suitability of acetone in the solubilization of crude plant extracts. Using acetone, better solubility profiles of crude plant extracts were observed compared to dimethyl sulfoxide (DMSO) at up to 10 %v/v. Based on lacking toxicity against many bacteria species at up to 25 %v/v, its use in the solubilization of poorly water-soluble extracts, particularly those from less polar solvents is advocated.
In a subsequent study, four galloylglucoses were isolated from the leaves of Paeonia officinalis L., whereby the isolation of three of them from this source was reported for the first time. The isolation and characterization of these compounds were driven by the crucial need to continually fill the pre-clinical antibiotics pipeline using all available means. Application of the bioautography-guided isolation and a matrix of extractive, chromatographic, spectroscopic, and spectrometric techniques enabled the isolation of the compounds at high purity levels and the ascertainment of their chemical structures.
Further, the compounds exhibited the Minimum Inhibitory Concentrations (MIC) in a range of 2–256 µg/mL against Multidrug-Resistant (MDR) strains of E. coli and K. pneumonia exhibiting diverse MDR phenotypes. In that, the antibacterial activities of three of the isolated compounds were reported for the first time. The observed in vitro activities of the compounds resonated with their in vivo potentials as determined using the Galleria mellonella larvae model. Additionally, the susceptibility of the MDR bacteria to the galloylglucoses was noted to vary depending on the nature of the resistance enzymes expressed by the MDR bacteria. In that, the bacteria expressing enzymes with higher content of aromatic amino acids and zero or positive net charges were generally more susceptible. Following these findings, a plausible hypothesis for the observed patterns was put forward.
The generally challenging pharmacokinetic properties of galloylglucoses limit their further development into therapeutic agents. However, the compounds can replace or reduce the use of antibiotics in livestock keeping as well as in the treatment of septic wounds and topical or oral cavity infections, among other potential uses.
Using nature-inspired approaches, a series of glucovanillin derivatives were prepared following feasible synthetic pathways which in most cases ensured good yields and high purity levels. Some of the prepared compounds showed MIC values in a range of 128 – 512 μg/mL against susceptible and MDR strains of Klebsiella pneumoniae, Methicillin-Resistant Staphylococcus aureus (MRSA) and Vancomycin-Resistant Enterococcus faecium (VRE). These findings emphasize the previously reported essence of small molecular size, the presence of protonatable amino groups and halogen atoms, as well as an amphiphilic character, as crucial features for potential antibacterial agents.
Due to the experienced limited success in the search for new antibacterial agents using purely synthetic means, pursuing semi-synthetic approaches as employed in this study are highly encouraged. This way, it is possible to explore broader chemical spaces around natural scaffolds while addressing their inherent limitations such as solubility, toxicity, and poor pharmacokinetic profiles.
Machine-Learning-Based Identification of Tumor Entities, Tumor Subgroups, and Therapy Options
(2023)
Molecular genetic analyses, such as mutation analyses, are becoming increasingly important in the tumor field, especially in the context of therapy stratification. The identification of the underlying tumor entity is crucial, but can sometimes be difficult, for example in the case of metastases or the so-called Cancer of Unknown Primary (CUP) syndrome. In recent years, methylome and transcriptome utilizing machine learning (ML) approaches have been developed to enable fast and reliable tumor and tumor subtype identification. However, so far only methylome analysis have become widely used in routine diagnostics.
The present work addresses the utility of publicly available RNA-sequencing data to determine the underlying tumor entity, possible subgroups, and potential therapy options. Identification of these by ML - in particular random forest (RF) models - was the first task. The results with test accuracies of up to 99% provided new, previously unknown insights into the trained models and the corresponding entity prediction. Reducing the input data to the top 100 mRNA transcripts resulted in a minimal loss of prediction quality and could potentially enable application in clinical or real-world settings.
By introducing the ratios of these top 100 genes to each other as a new database for RF models, a novel method was developed enabling the use of trained RF models on data from other sources.
Further analysis of the transcriptomic differences of metastatic samples by visual clustering showed that there were no differences specific for the site of metastasis. Similarly, no distinct clusters were detectable when investigating primary tumors and metastases of cutaneous skin melanoma (SKCM).
Subsequently, more than half of the validation datasets had a prediction accuracy of at least 80%, with many datasets even achieving a prediction accuracy of – or close to – 100%.
To investigate the applicability of the used methods for subgroup identification, the TCGA-KIPAN dataset, consisting of the three major kidney cancer subgroups, was used. The results revealed a new, previously unknown subgroup consisting of all histopathological groups with clinically relevant characteristics, such as significantly different survival. Based on significant differences in gene expression, potential therapeutic options of the identified subgroup could be proposed.
Concludingly, in exploring the potential applicability of RNA-sequencing data as a basis for therapy prediction, it was shown that this type of data is suitable to predict entities as well as subgroups with high accuracy. Clinical relevance was also demonstrated for a novel subgroup in renal cell carcinoma. The reduction of the number of genes required for entity prediction to 100 genes, enables panel sequencing and thus demonstrates potential applicability in a real-life setting.
The aim of this study was to provide a comprehensive overview of the frontal bone in the forensic context with special emphasis on its shape. Analyses on 19th and 20th century Euro-American and German crania were performed in terms of population differences, sexual dimorphism, secular change, and metopism.
It could clearly be seen that the frontal bone on its own already provides a lot of information toward the biological profile of an individual. Overall, using size and shape combined for analyses would always produce the best results, followed by shape only and then size only. Nevertheless, Log_Centroid_Size was the best sex-discriminating variable in the size-shape combined analyses for both populations. Population differences as well as sexual dimorphism could both be assessed (with varying accuracy) using size only and shape only respectively.
Very little secular change between the 19th and 20th century was found for the frontal in both groups respectively, with the secular change that could be seen mostly being shape variation.
Metopism analysis was only performed on German crania, because the presence or absence of a metopic suture was not documented for the Euro-American crania. Unfortunately, the results of these analyses were very limited due to too small sample sizes for the overall low percentage of metopism. The metopic frontal was once again found to be short in relation to its width and presenting a more rounded frontal curvature. The attempt of creating a formula to morphometrically assess the presence of metopism was not successful.
The results of this thesis suggest that forensic case work on skeletal remains would greatly benefit from a broader application of Geometric Morphometrics and consequently from larger databases containing shape data as well as more advanced and user-friendly software for this type of analyses.
Onchocerciasis, the world's second-leading infectious cause of blindness in humans
–prevalent in Sub-Saharan Africa – is caused by Onchocerca volvulus (O. volvulus), an
obligatory human parasitic filarial worm. Commonly known as river blindness,
onchocerciasis is being targeted for elimination through ivermectin-based mass
drug administration programs. However, ivermectin does not kill adult parasites,
which can live and reproduce for more than 15 years within the human host. These
impediments heighten the need for a deeper understanding of parasite biology and
parasite-human host interactions, coupled with research into the development of
new tools – macrofilaricidal drugs, diagnostics, and vaccines. Humans are the only
definitive host for O. volvulus. Hence, no small-animal models exist for propagating
the full life cycle of O. volvulus, so the adult parasites must be obtained surgically
from subcutaneous nodules. A two-dimensional (2D) culture system allows that
O. volvulus larvae develop from the vector-derived infective stage larvae (L3) in vitro
to the early pre-adult L5 stages. As problematic, the in vitro development of
O. volvulus to adult worms has so far proved infeasible. We hypothesized that an
increased biological complexity of a three-dimensional (3D) culture system will
support the development of O. volvulus larvae in vitro. Thus, we aimed to translate
crucial factors of the in vivo environment of the developing worms into a culture
system based on human skin. The proposed tissue model should contain 1. skinspecific
extracellular matrix, 2. skin-specific cells, and 3. enable a direct contact of
larvae and tissue components. For the achievement, a novel adipose tissue model
was developed and integrated to a multilayered skin tissue comprised of epidermis,
dermis and subcutis. Challenges of the direct culture within a 3D tissue model
hindered the application of the three-layered skin tissue. However, the indirect coculture
of larvae and skin models supported the growth of fourth stage (L4) larvae in
vitro. The direct culture of L4 and adipose tissue strongly improved the larvae
survival. Furthermore, the results revealed important cues that might represent the
initial encapsulation of the developing worm within nodular tissue. These results
demonstrate that tissue engineered 3D tissues represent an appropriate in vitro
environment for the maintenance and examination of O. volvulus larvae.
Allogenic hematopoietic stem cell transplantation (allo-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 known as Graft-versus-Host Disease (GvHD). Cyclosporin A (CsA) and tacrolimus are used to treat GvHD which limits inflammation but also interferes with the anticipated Graft-versus-Leukemia (GvL) effect. These drugs repress conventional T cells (Tcon) along with regulatory T cells (Treg), which are important for both limiting GvHD and supporting GvL. Both of these drugs inhibit calcineurin (CN), which dephosphorylates and activates the nuclear factor of activated T-cells (NFAT) family of transcription factors. Here, we make use of our Cd4cre.Cas9+ mice and developed a highly efficient non-viral CRISPR/Cas9 gene editing method by gRNA-only nucleofection. Utilizing this technique, we demonstrated that unstimulated mouse T cells upon NFATc1 or NFATc2 ablation ameliorated GvHD in a major mismatch mouse model. However, in vitro pre-stimulated mouse T cells could not achieve long-term protection from GvHD upon NFAT single-deficiency. This highlights the necessity of gene editing and transferring unstimulated human T cells during allo-HCT. Indeed, we established a highly efficient ribonucleoprotein (RNP)-mediated CRISPR/Cas9 gene editing for NFATC1 and/or NFATC2 in pre-stimulated as well as unstimulated primary human T cells. In contrast to mouse T cells, not NFATC1 but NFATC2 deficiency in human T cells predominantly affected proinflammatory cytokine production. However, either NFAT single-knockout kept cytotoxicity of human CD3+ T cells untouched against tumor cells in vitro. Furthermore, mouse and human Treg were unaffected upon the loss of a single NFAT member. Lastly, NFATC1 or NFATC2-deficient anti-CD19 CAR T cells, generated with our non-viral ‘one-step nucleofection’ method validated our observations in mouse and human T cells. Proinflammatory cytokine production was majorly dependent on NFATC2 expression, whereas, in vitro cytotoxicity against CD19+ tumor cells was undisturbed in the absence of either of the NFAT members. Our findings emphasize that NFAT single-deficiency in donor T cells is superior to CN-inhibitors as therapy during allo-HCT to prevent GvHD while preserving GvL in patients.
Stroke and myocardial infarction are the most prominent and severe consequences of pathological thrombus formation. For prevention and/or treatment of thrombotic events there is a variety of anti-coagulation and antiplatelet medication that all have one side effect in common: the increased risk of bleeding. To design drugs that only intervene in the unwanted aggregation process but do not disturb general hemostasis, it is crucial to decipher the exact clotting pathway which has not been fully understood yet. Platelet membrane receptors play a vital role in the clotting pathway and, thus, the aim of this work is to establish a method to elucidate the interactions, clustering, and reorganization of involved membrane receptors such as GPIIb/IIIa and GPIX as part of the GPIb-IX-V complex. The special challenges regarding visualizing membrane receptor interactions on blood platelets are the high abundancy of the first and the small size of the latter (1—3µm of diameter). The resolution limit of conventional fluorescence microscopy and even super-resolution approaches prevents the successful differentiation of densely packed receptors from one another. Here, this issue is approached with the combination of a recently developed technique called Expansion Microscopy (ExM). The image resolution of a conventional fluorescence microscope is enhanced by simply enlarging the sample physically and thus pulling the receptors apart from each other. This method requires a complex sample preparation and holds lots of obstacles such as variable or anisotropic expansion and low images contrast. To increase ExM accuracy and sensitivity for interrogating blood platelets, it needs optimized sample preparation as well as image analysis pipelines which are the main part of this thesis. The colocalization results show that either fourfold or tenfold expanded, resting platelets allow a clear distinction between dependent, clustered, and independent receptor organizations compared to unexpanded platelets.Combining dual-color Expansion and confocal fluorescence microscopy enables to image in the nanometer range identifying GPIIb/IIIa clustering in resting platelets – a pattern that may play a key role in the clotting pathway
The chirality of the interlocked bay-arylated perylene motif is investigated upon its material prospect and the enhancement of its chiroptical response to the NIR spectral region. A considerable molecular library of inherently chiral perylene bisimides (PBIs) was utilized as acceptors in organic solar cells to provide decent device performances and insights into the structure-property relationship of PBI materials within a polymer blend. For the first time in the family of core-twisted PBIs, the effects of enantiopurity on the device performance was thoroughly investigated. The extraordinary structural sensitivity of CD spectroscopy served as crucial analytical tool to bridge the highly challenging gap between molecular properties and device analytics by proving the excitonic chirality of a helical PBI dimer. The chirality of this perylene motif could be further enhanced on a molecular level by both the expansion and the enhanced twisting of the π-scaffold to achieve a desirable strong chiroptical NIR response introducing a new family of twisted QBI-based nanoribbons. These achievements could be substantially further developed by expanding this molecular concept to a supramolecular level. The geometrically demanding supramolecular arrangement necessary for the efficient excitonic coupling was carefully encoded into the molecular design. Accordingly, the QBIs could form the first J-type aggregate constituting a fourfold-stranded superhelix of a rylene bisimide with strong excitonic chirality. Therefore, this thesis has highlighted the mutual corroboration of experimental and theoretical data from the molecular to the supramolecular level. It has demonstrated that for rylene bisimide dyes, the excitonic contribution to the overall chiroptical response can be designed and rationalized. This can help to pave the way for new organic functional materials to be used for
chiral sensing or chiral organic light-emitting devices.