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The peptide loading complex (PLC) is a central machinery in adaptive immunity ensuring antigen presentation by major histocompatibility complex class I (MHC I) molecules to immune cells. If nucleated cells present foreign antigenic peptides from various origins (e.g., viral infected or cancer cells) on their cell surface they are targeted and eliminated by effector cells of the immune system to protect the organism against the hazard. The antigen presentation process starts with proteasomal degradation. Peptide loading and quality control of most, if not all, MHC I is performed by the PLC. Despite the main components, architecture, and general functions of this labile and multi-subunit assembly have been described, knowledge about the inner mechanics of MHC I loading and quality control in the PLC is limited. Detailed structural insights into the interactions and functions of key elements are lacking. In this PhD thesis, structural and functional aspects of the PLC in peptide loading and quality control of MHC I are unraveled, and the PLC was analyzed from an evolutionary perspective.
First, composition and architecture of native PLC isolated from different mammalian species was analyzed. Comparison of detergent-solubilized PLC from cow and sheep spleens with PLC isolated from human source showed a compositional conservation in mammals, with the central components TAP, ERp57, tapasin, calreticulin, and the MHC I heterodimer were conserved in these species. Negative-stain electron microscopy (EM) analyses revealed an identical overall architecture of PLCs from human, sheep, and cow with two major densities at opposing sides of the plane of the detergent micelle corresponding to endoplasmic reticulum (ER) luminal and cytosolic domains. Interestingly, the glucose-regulated protein 78 (GRP78) was associated only with the PLC from sheep and cow as revealed by mass spectrometry. This ER chaperone is involved in initial folding steps of MHC I but was not co-purified with human PLC, rendering it an interesting target for future functional and in-depth structural studies.
The human PLC was stabilized by reconstitution in membrane mimicking systems that replace the detergent, which is necessary to solubilize the complex. This stabilization allowed detailed structural analysis by single-particle cryogenic electron microscopy (cryo-EM). The structure of the MHC I editing module in the PLC, composed of tapasin, ERp57, calreticulin, MHC I, and β-2-microglobulin (β2m), was solved at an overall resolution of 3.7 Å. Within the structure, two important features were visualized: (i) the editing loop of tapasin, which is directly involved in peptide proofreading of MHC I; (ii) the A-branch of the Asn86 tethered N-linked glycan on MHC I. Both features are crucial elements in the quality control and peptide editing process on MHC I. The editing loop interacts with the peptide binding groove in MHC I. It disturbs the interaction between a cargo peptide C terminus and the F-pocket in the binding groove by displacing Tyr84 and the helices α1 and α2. The helix displacement widens the F-pocket which allows a faster peptide exchange on MHC I. The glycan is bound in its monoglucosylated form (Glc1Man9GlcNAc2) by the lectin domain of calreticulin. The A-branch of this glycan is stretched between MHC I Asn86 and the lectin domain, leading to the hypothesis that the glycan will be released from calreticulin once MHC I is loaded with a favored peptide (pMHC I).
For investigation of the glycan status of MHC I, intact protein liquid chromatography coupled mass spectrometry (LC-MS) was performed under denaturating conditions. An allosteric coupling between peptide loading and removal of the terminal glucose by α-Glucosidase II (GluII) was discovered. In addition, the PLC remained fully intact after peptide loading, which demonstrated GluII action on the PLC once MHC I is loaded.
With establishing GluII as transient interaction partner, this work deepens the knowledge of the molecular sociology of the PLC and how the PLC is involved in the endoplasmic reticulum quality control (ERQC). Further investigation of the ER aminopeptidases ERAP1 and ERAP2 showed that these enzymes neither alone nor together stably interact with the PLC. In contrast, both work independent from the PLC on free peptides in the ER.
LC-MS analysis of the PLC components revealed a very unusual glycosylation pattern of tapasin. Tapasin was observed with N-linked glycans ranging from the full glycan (Man9GlcNAc2) to heavily trimmed glycans, where only a single GlcNAc remained attached to Asn233. In the PLC, tapasin is probably shielded from degradation by ERQC and can remain functional and intact without a full N-linked glycan.
Atmospheric particles play an important role in the radiative balance of the Earth, as well as they affect human health and air quality. Hence, the chemical characterization constitutes a crucial task to determinate their properties, sources and fate. Particularly, the analysis of nanoparticles (d<100 nm) represents an analytical challenge, since these particles are abundant in number but have very little mass.
This accumulative thesis focuses on the chemical characterization of nanoparticles, performed in both laboratory and field studies. Here, I present four manuscripts, two of which are my main project as a lead author.
The first manuscript (Caudillo et al., 2021) focuses on the gas and the particle phase originated from biogenic precursor gases (α-pinene and isoprene). The experiments were performed in the CLOUD chamber at CERN to simulate pure biogenic new particle formation. Both gas and particle phases are measured with a nitrate CI-APi-TOF mass spectrometer, while the TD-DMA is coupled to it for particle-phase measurements, this setup allows a direct comparison as both measurements use the identical chemical ionization and detector. This study demonstrates the suitability of the TD-DMA for measuring newly formed nanoparticles and it confirms that isoprene suppresses new particle formation but contributes to the growth of newly formed particles.
The second manuscript (Caudillo et al., 2022) presents an intercomparison of four different techniques (including the TD-DMA) for measuring the chemical composition of SOA nanoparticles. The measurements were conducted in the CLOUD chamber. The intercomparison was done by contrasting the observed chemical composition, the calculated volatility, and the thermal desorption behavior (for the thermal desorption techniques). The methods generally agreed on the most important compounds that are found in the nanoparticles. However, they did see different parts of the organic spectrum. Potential explanations for these differences are suggested.
The third manuscript (Ungeheuer al., 2022) presents both laboratory and ambient measurements to investigate the ability of lubricant oil to form new particles. These new particles are an important source of ultrafine particles in the areas nearby large airports. The ambient measurements were performed downwind of Frankfurt International Airport, and it was found that the fraction of lubricant oil is largest in the smallest particles. In the laboratory, the main finding was that evaporated lubricant oil nucleates and forms new particles rapidly. The results suggest that nucleation of lubricant oil and subsequent particle growth can occur in the cooling exhaust plumes of aircraft-turbofans.
The fourth manuscript (Wang et al., 2022) is a new particle formation study in the CLOUD chamber at CERN. This study shows that nitric acid, sulfuric acid, and ammonia interact synergistically and rapidly form particles under upper free tropospheric conditions. These particles can grow by condensation (driven by the availability of ammonia) up to CCN sizes and INP particles. The ability of these particles to act as a CCN and INP was also investigated and it was found to be as efficient as for desert dust. This mechanism constitutes an important finding and it can account for previous observations of high concentrations of ammonia and ammonium nitrate over the Asia monsoon region.
The production of ribosomes is a complicated multistep, that is susceptible to changes occurring within the cell and its environment. The process itself requires many proteins, known as ribosome biogenesis factors (RBFs) and many non-coding RNAs like the small nucleolar RNAs (snoRNAs). While RBFs are required for the accurate processing of the pre-rRNA into mature rRNAs, the snoRNAs act to coordinate and guide enzymes for post-transcriptional modifications, chiefly 2´-O-ribose methylation and pseudouridylation. While ribosome biogenesis is mostly described in human and yeast model eucaryotes, similar detailed studies in the model plant Arabidopsis thaliana are far less explored and understood. Furthermore, for many experimentally confirmed modification sites the according snoRNAs and for many pre-rRNA processing steps the responsible RBFs are missing. Therefore, it is expected that a high number of snoRNAs and RBFs are not identified till yet. For this reason, RNA-deep sequencing was performed in order to identify novel snoRNAs and MS analysis data of nucleoli and nuclei of A. thaliana from a former PhD student were used in order to find new proteins involved in pre-rRNA processing.
In here, it is shown that with RNA deep-sequencing still new snoRNAs and snRNAs can be identified and that detection of predicted snoRNAs can be fulfilled with a) antisense oligonucleotides tagged with fluorescence dyes and b) with radioactive labeled antisense probes. Furthermore, a secondary structure map of the 60S and 40S subunit highlighting the predicted and moreover verified modification sites in 5.8S, 25S and 18S rRNA was created. Especially, the correlation between the modification sites and the guiding snoRNA is highlighted further shedding light on overview about current pre-rRNA modification sites and corresponding guiding snoRNAs. The next chapter reveals the complex and multi-layered existence of the 5.8S rRNA and its numerous precursors. The mutant prp24 (also known as seap1) encoding AtPRP24, is recognized as factor being important for splicing as it is promoting the recruitment of the U4 and U6 snRNAs to the spliceosome. In here, it was found that AtPRP24 is involved in processing of 5.8S rRNA precursors, recognizable by precursors that are over accumulating in the mutant. Moreover, it could be shown for the first time that the plant-specific precursor 5´-5.8S is exported to the cytoplasm, where final cleavage steps of 5.8S rRNA takes place. In the prp24.2 mutant, this precursor is exported at an increased rate to the cytoplasm, where it can be detected in the actively translating ribosomes (polysomes). A lower sensitivity of the mutant seeds to cycloheximide (CHX) suggests that due to the extension at the 5´-end of 5.8S, the structure of the 60S subunit has altered CHX binding. In conclusion, this work highlights the importance and complexity of 5.8S rRNA and its precursors for ribosome biogenesis and displays new insights into pre-rRNA processing in A. thaliana.
Patients harboring mutations in the gene DEPDC5 often display variations of neurological diseases including epilepsy, autism spectrum disorders (ASD) and other neuro-architectural alterations. DEPDC5 protein has been identified as an amino acid sensor responsible for negatively regulating the mechanistic target of rapamycin (mTOR), a central regulator in cell growth and cell homeostasis. Often, mutations of the DEPDC5 protein result in mTOR hyperactivity leading to abnormal neuronal phenotypes and the generation of excitatory/inhibitory imbalances in animal models. Complete knockout (KO) of DEPDC5 results in death shortly after birth, while inhibition of mTOR activity recovers postnatal death (Marsan et al. 2016). However, heterozygous DEPDC5-KOs in animals have been variable in their disease phenotypes during adulthood indicating developmental differences between subspecies and early development mechanisms which could be impactful on the outcome of the diseases.
To understand the mechanisms underlying DEPDC5 mutations during early development, a novel primary human neural progenitor cell line extracted from fetal tissue was characterized during proliferation and differentiation. CRISPR-Cas9 induced mutations of the DEPDC5 gene resulted in hyperphosphorylation of mTOR signaling processes and rapid expansion of the neuronal population during differentiation. Analysis of transcriptome data identified deregulation amongst p53 signaling, ribosome biogenesis, nucleotide and lipid synthesis as well as protein degradation pathways due to loss of DEPDC5. Disease gene datasets identified a correlation between Tuberous Sclerosis mutations as being more closely associated with DEPDC5 mutations while also finding overlap with some ASD and epilepsy genes. By using the mTOR inhibitor rapamycin, a substantial amount of the deregulated gene network was recovered while also reversing rapid neuronal differentiation caused by loss of DEPDC5. Though we saw increased dendritic arborization and subsequent decreases in dendrite lengths and soma sizes, rapamycin failed to recover these effects suggesting mTOR independent processes produced by DEPDC5-KO. This study provides new insights on the relationship between mutations in DEPDC5 and the functional, genomic and deregulatory networks it intertwines in humans and highlights that the DEPDC5 associated pathomechanisms are not fully related to mTOR hyperactivation, but include independent processes. This also sheds light on the question why rapamycin treatment only partially restores DEPDC5 related phenotypes and gives insight on treatments for DEPDC5 patients.
Redox homeostasis must be kept in balance for an intact redox signaling, which is necessary to control neuronal pathways such as growth cone pathfinding, synaptic plasticity and transmission (Oswald, Garnham, Sweeney, & Landgraf, 2018).
Nucleoredoxin (NXN) is an oxidoreductase and thioredoxin-like protein holding two conserved cysteine residues in its structure (Funato & Miki, 2007), which are essential for its redox-regulating functionality. The function of NXN in neurons is still less well studied. But the expression of NXN in neurons, which was confirmed through analyzing adult NXN-LacZ reporter mice, suggested a dominant functional role in neuronal pathways. Initial experiments revealed calcium-calmodulin-dependent kinase 2 a (Camk2a) as a potential interaction partner through a Yeast-2-Hybrid screen (not shown) which is the major protein to induce synaptic plasticity during neuronal activity. Therefore, neuronal expression of NXN and the potential interaction with Camk2a prompted us to investigate deeper into the neuronal pathway. The goal of this work was to confirm the interaction of Camk2a and NXN with further experiments and to characterize behavior of mice carrying a neuronal NXN deletion. To achieve a pan-neuronal depletion of NXN expression in our mouse model, we used the Cre/loxP system with a NestinCre driver. We did not achieve the expected complete deletion of NXN due to unknown compensatory mechanisms. Nevertheless, the partial deletion of NXN in our transgenic mouse model prevented embryonic lethality as occurring in complete NXN knockout mice (Funato et al., 2010). The interaction of Camk2a and NXN was confirmed through proximity ligation assay (PLA) and immunofluorescence staining of primary cortical neurons.
Investigations of the functional interaction revealed a lower redox-sensitivity of Camk2a activity in NXN-deficient brain samples. Additionally, the respiratory activity was significantly reduced in mitochondria of NXN deficient mouse brain pointing to possible dysfunctional mitochondria which is also observed in various neurodegenerative diseases, e.g.: Alzheimer, Parkinson, and Huntington disease (Norat et al., 2020). Unexpectedly, behavioral studies revealed only a subtle effect of the pan-neuronal NXN-deficiency. Significant differences between genotypes were found at the reduction of exploratory behavior and a reduced motivation for the voluntary wheel running in NesNXN-/- mice, which is normally seen as a joyful and rewarding activity. The observed behavior of NesNXN-/- mice potentially results from interaction mechanisms of NXN with Camk2a, as well as decreased oxidation of
Camk2a and further unidentified target proteins of NXN.
Conclusively, function of NXN was revealed as a non-essential redox modulator of Camk2a in neurons. The behavioral phenotype of NesNXN-/- mice is probably compensated through unknown mechanisms. Redox signaling of Camk2a in neurons is regulated through various components such as TXN or GSH, which can backup each other (Branco et al., 2017; Ren et al., 2017). NXN is an additional but not essential regulator.
Post-translational modifications (PTMs) of cell fate regulating proteins determine their stability, localization and function and control the activation of cell protective signaling pathways. Particularly in aberrantly dividing cancer cells the surveillance of cell cycle progression is essential to control tumorigenicity. In a variety of carcinomas, lymphomas and leukemias, the tumor-suppressive functions of the apoptosis- and senescence-regulating promyelocytic leukemia protein (PML) is controlled by numerous PTMs. PML poly-ubiquitylation and polySUMOylation at several lysine (K) residues induce PML degradation that is correlated to a progressive and invasive cancer phenotype. Besides several known E3 ubiquitin protein ligases that are involved in PML degradation, less is known about PML-specific deubiquitylases (DUBs), the respective DUB-controlled ubiquitin conjugation sites and the functional consequences of PML (de)ubiquitylation. Here, we show that the pro-tumorigenic DUB USP22 critically regulates PML protein stability by modifying PML residue K394 in advanced colon carcinoma cells in vitro and that this modification also impacts the homeostasis and function of the leukemia-associated mutant variant PML-RARα. We found that ablation of USP22 decreases PML mono-ubiquitylation and correlates with a prolonged protein half-live in colon carcinoma and acute promyelocytic leukemia (APL) cell lines. Additionally, silencing of USP22 enhances interferon and interferon-stimulated gene (ISG) expression in APL cells in vitro, which together with prolonged PML-RARα stability increases the APL cell sensitivity towards differentiation treatment. In accordance with the novel roles of USP22 as suppressor of the interferon response in human intestinal epithelial cells (hIECs), our findings imply USP22-dependent surveillance of PML-RARα stability and interferon signaling in human leukemia cells, revealing USP22 as central regulator of leukemia pathogenesis.
In this thesis, the flow coefficients vn of the orders n = 1 − 6 are studied for protons and light nuclei in Au+Au collisions at Ebeam = 1.23 AGeV, equivalent to a center-of-mass energy in the nucleon-nucleon system of √sNN = 2.4 GeV. The detailed multi-differential measurement is performed with the HADES experiment at SIS18/GSI. HADES, with its large acceptance, covering almost full azimuth angle, combined with its high mass-resolution and good particle-identification capability, is well equipped to study the azimuthal flow pattern not only for protons, deuterons, and tritons but also for charged pions, kaons, the φ-mesons, electrons/positrons, as well as light nuclei like helions and alphas. The high statistics of more than seven billion Au-Au collisions recorded in April/May 2012 with HADES enables for the first time the measurement of higher order flow coefficients up to the 6th harmonic. Since the Fourier coefficient of 7th and 8th order are beyond the statistical significance only an upper bound is given. The Au+Au collision system is the largest reaction system with the highest particle multiplicities, which was measured so far with HADES. A dedicated correction method for the flow measurement had to be developed to cope with the reconstruction in-efficiencies due to occupancies of the detector system. The systematical bias of the flow measurement is studied and several sources of uncertainties identified, which mainly arise from the quality selection criteria applied to the analyzed tracks, the correction procedure for reconstruction inefficiencies, the procedures for particle identification (PID) and the effects of an azimuthally non-uniform detector acceptance. The systematic point-to-point uncertainties are determined separately for each particle type (proton, deuteron and triton), the order of the flow harmonics vn, and the centrality class. Further, the validity of the results is inspected in the range of their evaluated systematic uncertainties with several consistency checks. In order to enable meaningful comparisons between experimental observations and predictions of theoretical models, the classification of events should be well defined and in sufficiently narrow intervals of impact parameter. Part of this work included the implementation of the procedure to determine the centrality and orientation of the reaction.
In the conclusion the experimental results are discussed, including various scaling properties of the flow harmonics. It is found that the ratio v4/v2 for protons and light nuclei (deuterons and tritons) at midrapidity for all centrality classes approaches values close to 0.5 at high transverse momenta, which was suggested to be indicative for an ideal hydrodynamic behaviour. A remarkable scaling is observed in the pt dependence of v2 (v4) at mid-rapidity of the three hydrogen isotopes, when dividing by their nuclear mass number A (A^2) and pt by A. This is consistent with naive expectations from nucleon coalescence, butraises the question whether this mass ordering can also be explained by a hydrodynamical-inspired approach, like the blast-wave model. The relation of v2 and v4 to the shape of the initial eccentricity of the collision system is studied. It is found that v2 is independent of centrality for all three particle species after dividing it by the averaged second order participant eccentricity v2/⟨ε2⟩. A similar scaling is shown for v4 after division by ⟨ε2⟩^2.
Simulations of conformational changes and enzyme-substrate interactions in protein drug targets
(2022)
Finding new drugs is a difficult, time-consuming, and costly challenge, with only a small success rate along the drug discovery pipeline of far less than 10%. The high failure rate of drug discovery projects motivates the integration of computational tools throughout the whole drug discovery pipeline, from target identification to clinical trials. Target identification is the first step in the process. A biological target, e.g., a protein that plays a role in disease, is identified and its molecular mechanism in the disease is studied. Further, a potential binding site on the target, where therapeutic molecules can bind and modulate the target’s activity, needs to be characterized. Computational tools can contribute to improving the initial molecular target elucidation and assessment.
In this thesis, I use computational, physics-based approaches to characterize binding sites of drug targets and to decipher enzyme-substrate interactions, which play a role in disease mechanisms. Molecular dynamics (MD) simulations were applied to study the dynamics of molecules in solution at high temporal and spatial resolution. The method generates time-resolved trajectories of the particles in a system of interest by integrating Newton’s equations of motion numerically, starting from a set of coordinates and velocities. In MD simulations, all atoms of a chosen system, including solvent, are represented explicitly. Atomistic simulations are especially well-suited to study detailed interactions that depend on intermolecular interactions, such as hydration effects, hydrogen bonding, hydrophobic interactions, or subtle chemical differences. System properties are inferred from the trajectories, provided that the force fields, describing the interactions between the particles in the system, have a high accuracy. The bonded and non-bonded interactions are parametrized on experimental and quantum chemical data. The purpose of MD simulations can be to gain insight into the behavior of complex biological systems at molecular level, which often cannot be observed in experiments at the same resolution. With recent advances in computer hardware and simulation software, molecular systems of increasing size and simulation length can be investigated.
In the first part of the thesis, I investigated the conformational ensemble of various protein drug targets. Proteins are dynamic biomacromolecules that can have diverse and nearly isoenergetic conformational states. Ligand binding can shift the equilibrium of this conformational ensemble and can uncover binding sites, called cryptic sites. Cryptic sites only emerge upon small molecule binding and are often flat and featureless, and thus not easily recognized in crystal structures without bound ligands. If new binding sites including cryptic sites are detected, they can potentially be exploited for binding to ligands and enable a druggable target. Druggability is the ability of a protein to bind small, drug-like molecules, which is the basis for rational drug design. In this thesis, I used state-of-the-art physics-based, computational approaches to investigate the conformational ensembles of binding sites. In all studied systems, it is known from experiment that a specific group of ligands can induce conformational changes. The aim is to sample the conformational space made accessible upon ligand binding, yet without using the specific ligand structures or details about their interactions. We are interested in sampling the
pocket conformational states and identifying the respective pocket opening mechanism. For some cases, I additionally assessed whether the observed flexibility is a feature of the protein family, or specific to the protein under consideration.
The first studied system is factor VIIa (FVIIa). FVIIa is an essential part of the coagulation cascade and hence a potential drug target for thrombotic diseases. In addition, I investigated various other trypsin-like serine proteases from the same protein family. The binding pocket of trypsin-like serine proteases is called S1 pocket. An X-ray crystal structure solved by our collaborators reveals that a b-sheet structure in the S1 pocket is distorted by a bound ligand. I resolved the conformational change with MD simulations, starting from the unbound protein structure solvated in water and ions. I observed multiple spontaneous transition events. In 7 out of 22 simulations with the b-sheet as starting structure, the S1 pocket eventually rearranged into a distorted loop structure. These transitions occurred spontaneously and were mediated by water molecules probing the backbone hydrogen bonds. The conformational change studied here controls the onset of substrate binding and catalysis. Furthermore, I used metadynamics simulation, an enhanced-sampling method, to estimate the free energy barrier of this conformational change..
Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder that typically begins in childhood and is associated with the cardinal symptoms of inattentiveness, hyperactivity, and impulsiveness. In a significant number of cases, ADHD persists into adulthood and leads to profound psychosocial impairment and costs to the population. The course of the disorder and the severity of psychosocial impairment are further influenced by the presence of comorbidities. The risk of developing psychiatric comorbidities such as affective disorders, personality disorders and substance use disorders is increased compared to the general population. Studies also indicate that ADHD is associated with a higher burden of somatic disorders such as obesity, diabetes mellitus, asthma and migraine. In the last decades, there has been a growing body of research that identified sex-related differences in ADHD, but there is still insufficient evidence on specific issues. In addition to the sex-ratio, which is more balanced in adulthood compared to childhood, there are also indications that differences exist at the symptom level and that the comorbid disorders that occur more frequently in ADHD also seem to differ in men and women, although the studies are not yet clear on this. Using resting-state analyses of functional magnetic resonance imaging (fMRI), we aimed to address the question of whether we can detect sex differences in ADHD and selected comorbidities (substance use disorder, depression, obesity) based on altered functional connectivity profiles. A central role for the pathogenesis of ADHD is the dysregulation of dopaminergic neurotransmission, specifically altered reward processing, as an expression of impaired impulse control. In the present study, we focused on a neuroanatomical hub, namely, the external part of the globus pallidus (GPe), which we defined as a "region of interest" for the analyses performed. There is growing evidence that the globus pallidus not only plays a role in the extrapyramidal motor system, but also integrates cognitive and reward-related information, functions that are impaired in ADHD. In a first step, we looked for sex differences in ADHD patients (n=137) and separately in healthy controls (HC) (n=45), then we compared a similar group of HC and ADHD patients to compare sex-differences in ADHD patients and HC. In a second step, we investigated whether the neural basis of comorbidity patterns differed between male and female patients. Analysis of the images of 182 participants was performed using the SPM-based CONN toolbox V 18.b. When comparing subjects with ADHD and HC, we observed an interaction between the GPe and the middle left temporal gyrus, with the effect being more pronounced in healthy subjects. When analyzing the large ADHD sample, an interaction between the GPe and the frontal pole/middle right frontal gyrus was observed. The connectivity between the GPe and the frontal and temporal brain areas appeared to be more pronounced in female ADHD patients than in males, with the sex-effect being reversed and more pronounced in healthy subjects. The results suggest that in patients with ADHD there is a loss of sex-specialization in GPe-connectivity. Males with ADHD and depression showed lower functional connectivity between the GPe and parts of the occipital cortex than females with ADHD and depression. To our knowledge, this is the first study to investigate sex-specific functional connectivity networks using a seed-based connectivity analysis of the external globus pallidus in adult ADHD patients with and without comorbidities. The study serves to improve our knowledge of GPe involvement in ADHD and sex-specific recruitment of this network. Taken as a whole, this study contributes to our understanding of the neurobiological correlates of ADHD and suggests possible differences between males and females with ADHD centered on altered connectivity with the GPe, helping to provide a different perspective on current research and new ideas for further studies.
This thesis is focusing on the impact of Paratethys and Mediterranean water bodies over the Eurasian climate and the interplay between climate, tectonics and biosphere during the late Miocene. This target was the interval between 12.7 and 7.65 Ma for Paratethys, following the Eastern Paratethys restriction and isolation, and 7.2−6.5 Ma (the early Messinian) in Mediterranean, zooming on the effects of gateway restrictions over the eastern Mediterranean and the new born Aegean domain. In both cases restriction is overlapping with large scale climatic changes and tectonic reconfiguration, leading a sort of symbiotic relationship.
Paratethys was a giant epicontinental sea that covered a large part of Eurasia since Paleogene. Due to the Eurasia-Afro-Arabia collision and formation of the Alpine-Himalayan belt (Rögl, 1999; Popov et al., 2006), the Paratethys was divided during the late Miocene in smaller basins that in time were isolated of each other. The protracted isolation and intense continentalisation of paratethyan realm led to changes in humidity distribution, basin connectivity, sediment sources and salinity. These changes had in turn major consequences over water circulation, water availability, vegetation cover and biota. These changes are more intense after 11.6 Ma, when the Eastern Paratethys lost any sustained marine connection, evolving into an enclosed system with endemic fauna (Harzhauser and Piller, 2007).
Mediterranean Sea is a Mezozoic oceanic relic squeezed between Africa, Europe, Anatolia and Arabia, as Africa continued to subduct beneath the European plate. As opposed to Paratethys, it maintained the open connection with the ocean until Messinian, when the two Atlantic gateways (Betic and Rifian corridors) closed for a short time, isolating the basin. The cut off resulted in a dramatic drop down and onset of evaporitic precipitation in marginal basins, the event receiving the name of Messinian Salinity Crisis (5.97−5.55). The restriction affected all marine ecosystems, due to changes in salinity and stratification of water column.
The main objectives of this thesis were:
(1) build valid paleo-temperatures records for both basins based on biomarkers;
(2) reconstruct the hydrology for the late Miocene time interval;
(3) identify vegetation composition and changes;
(4) identify paleo-fires in the late Miocene sediment records;
(5) identify the biotic response to the overall climate and tectonic changes.
All the above objectives were attained with results published in specific journals (Chapters 5−7).
Based on Panagia section (Taman Peninsula, Russia) the longest Paratethys temperature record was completed (~5 Myr), covering the interval between 12.7 and 7.65 Ma. A comprehensive SST and MAT records was obtained, as well as soil pH and carbon (δ13C) and hydrogen (δ2H) stable isotopic compositions on n-alkanes and alkenones. The main findings are concentrated around three prolonged periods with severe droughts affecting the late Miocene circum-Paratethys region peaking at 9.65, 9.4 and 7.9 Ma, associated with a transition towards open land vegetation, intensification of fire activity and enhanced evaporation and aridity.
The time intervals with dryer conditions recorded in Panagia coincide with periods of mammal turnover and dispersal in Eurasia indicating that major environmental changes occurred in the circum-Paratethys region and Paratethys fragmentation had a great impact on the terrestrial ecosystems, when periods of prolonged droughts generated biotic crises and animal displacements across the Eurasian continent. The δ13CC29n-alkane values and charcoal morphologies from Panagia indicate an increased contribution of C4 plants adapted to drier conditions at 9.66 Ma. Similarly high δ13CC29n-alkane values continue until 9.4 Ma, when in Western Europe increased seasonality accelerated the demise of the evergreen subtropical woodlands and expansion of grasslands from Anatolia and Middle East to Europe.
As a result of basin fragmentation and climatic stress, the Eastern Paratethys sub-basins progressively lost their marine properties and turned into brackish-fresh water bodies fed primarily by riverine input. The shallower areas became in time emerged, obstructing connections and isolating the biota, inducing rapid adjusting or extinctions. Thus, the Paratethys harbored a highly endemic fauna (Rögl, 1999), such as dwarf whales, dolphins, seals (among mammals), as well as fish and other taxa (mollusks, ostracods, diatoms, foraminifera, algae, etc.).
Collectively the data structured and analyzed in chapter five support a model in which the Eastern Paratethys evolved as a largely (en)closed system, registering paleoenvironmental signals that are governed by interbasinal connectivity (or lack of it) and regional climate changes in the basin catchment. Acting as an important source of humidity for Western and Central Asia, the size and areal extent of the Paratethys water body is likely to have had a major impact on hydroclimate patterns in the Eurasian interior, with the cumulative fluctuations in both hydrology and surface temperature enhancing the aridity and seasonality, with different partition of moisture over the year. Our combined data suggests a decoupling of Paratethys from the global system as isolation advanced, dominated by regional tectonics and ultimately the Paratethys volume and areal extent reduction.
Die akute myeloische Leukämie (AML) ist eine aggressive Erkrankung des Knochenmarks, welche die Hämatopoese beeinträchtigt und zu Knochenmarksversagen führt. Trotz des Fortschritts in der AML-Therapie bleibt die Prognose für die meisten Patienten schlecht, sodass neue Therapieansätze für die Behandlung dringend benötigt werden. Autophagie, ein kataboler Abbauprozess von zellulären Komponenten, ist nachweislich an der Entstehung von AML beteiligt. Als zentraler Regulator von Zellüberleben, Homöostase und Stoffwechsel, dient die Autophagie als Nährstoffquelle durch die Wiederverwertung von Makromolekülen während begrenzter Energieversorgung. AML-Zellen benötigen ein konstantes Nährstoff- und Energieniveau, um ihre Vermehrung aufrechtzuerhalten. Dies wird durch eine Umstellung von Stoffwechselwegen, insbesondere des mitochondrialen Stoffwechsels einschließlich der oxidativen Phosphorylierung (OXPHOS) und des Tricarbonsäurezyklus (TCA), erreicht.
Mehrere Studien haben die Hemmung der Autophagie für die Behandlung von Krebs als vielversprechenden Ansatz vorgestellt. Doch eine Monotherapie mit Autophagie-Inhibitoren erzielte nur eine geringfügige Wirksamkeit. Eine mögliche Erklärung hierfür ist die Entstehung von Kompensationsmechanismen, die zum Ausgleich der Autophagie-Hemmung in Krebszellen entstehen. Bis heute sind diese Kompensationsmechanismen kaum untersucht. Ziel dieser Arbeit ist es, ein geeignetes Autophagie-Gen zu identifizieren, mit dem sich die Rolle der Autophagie-Hemmung für das Überleben von AML-Zellen untersuchen lässt. Zusätzlich sollen die kompensatorischen Mechanismen, die durch die Autophagie-Hemmung in AML-Zellen entstehen können, untersucht werden, um neue metabolische Angriffspunkte zu identifizieren, die für Kombinationstherapien genutzt werden können.
Zu Beginn der Arbeit wurde ein gezielter CRISPR/Cas9 Screen in zwei humanen AML-Zelllinien durchgeführt, um Autophagie-Gene zu identifizieren, deren Verlust eine Proliferationsstörung in AML-Zellen verursacht, welche überwunden werden kann. Validierungsexperimente zeigten, dass der Verlust von ATG3 das Zellwachstum signifikant verminderte. Außerdem zeigte die Messung des Autophagie-Fluxes, dass der Verlust von ATG3 die Autophagie stark beeinträchtigte. Dies wurde durch eine Western-Blot-Analyse, die eine beeinträchtigte LC3-Lipidierung zeigte, und durch eine Immunfluoreszenzanalyse der Autophagosomen-Bildung mittels konfokaler Mikroskopie, die eine geringere Anzahl von Autophagosomen in ATG3-defizienten Zellen ergab, bestätigt. Deshalb wurde der Knockdown von ATG3 in AML Zellen verwendet, um die Mechanismen, die zum Ausgleichen der Autophagie-Hemmung entstehen, zu untersuchen. Zuerst wurde die Zellproliferation in fünf verschiedenen AML Zelllinien über sieben Tage betrachtet. In allen Zellenlinien führte der Verlust von ATG3 mittels small hairpin RNA zu verminderter Zellproliferation. Diese Ergebnisse zeigen die wichtige Rolle von ATG3 in der Autophagie und dass Autophagie-Hemmung durch ATG3-Verlust das Wachstum von AML-Zellen beeinträchtigt.
Da der Verlust von ATG3 die Proliferation von AML-Zellen beeinträchtigte, wurde eine Zellzyklusanalyse durchgeführt. Eine reduzierte S-Phase bestätigte die verminderte Proliferation in ATG3-depletierten AML-Zellen, doch der Zellzyklus war grundsätzlich nicht gestoppt. Darüber hinaus ergab die Analyse der Apoptose, dass diese unter dem Verlust von ATG3 erhöht war, aber etwa 50% der Zellen blieben vital. Diese Beobachtungen deuten darauf hin, dass AML-Zellen trotz des Verlusts der ATG3-abhängigen Autophagie weiter proliferieren können.
Um die Mechanismen zur Kompensation der Autophagie-Hemmung zu untersuchen, wurden die Auswirkungen des ATG3-Verlusts auf die mitochondriale Homöostase untersucht. Die Mitophagie sowie das mitochondriale Membranpotenzial und die Masse unterschieden sich zwischen Kontroll- und ATG3-depletierten AML-Zellen nicht, was darauf hindeutet, dass die mitochondriale Homöostase durch den Verlust von ATG3 nicht beeinträchtigt ist. Als nächstes wurde die mitochondriale Funktion durch Messung des ATP-Spiegels und der OXPHOS untersucht. Die ATP-Level und die OXPHOS waren nach dem Verlust von ATG3 in AML-Zellen erhöht, was auf eine gesteigerte mitochondriale Aktivität bei Autophagie-Defizienz hinweist.
Due to their sessile nature, plants are constantly exposed to an everchanging environment. When these changes exceed certain limits, they can significantly impact plant growth and development, which, in case of crop plants, has consequences on food security. Exposure to high temperatures causes heat stress (HS), one of the most devastating stresses that plants can face. The survival and recovery from HS are dependent on the activation of the HS response (HSR), a collection of molecular mechanisms conferring HS tolerance by maintaining the cellular homeostasis. Stress responses follow a strictly orchestrated network of signal perception and -transduction, ultimately resulting in an adaptive cellular output. Thereby, the massive reshaping of the transcriptome plays a major part, in which heat stress transcription factors (HSFs) play the key role by inducing the expression of HS-responsive genes, including heat shock proteins and other transcription factors. Additionally, alternative splicing (AS), the selective usage of splice sites, contributes to the rapid adjustment of the transcriptome landscape by producing different mRNA variants from a single gene. Consequently, this results in the reduction of translatable transcripts by nonsense-mediated mRNA-decay or nuclear retention, but also enhances the proteome diversity by allowing the synthesis of protein isoforms with distinct functions. AS thereby modulates the activity of important regulatory factors like HSFA2 in Solanum lycopersicum (tomato). HSFA2 is the key factor of acquired thermotolerance (ATT), which enables the ability to survive a potentially lethal HS through pre-exposure to a preceding mild HS. Temperature-dependent AS leads to the synthesis of two HSFA2 protein variants, whereby inhibition of splicing ensures the synthesis of the stable isoform HSFA2-I that is required for ATT.
Transcriptome analysis of several plant species exposed to HS has highlighted the strong impact of high temperatures on the regulation of pre-mRNA splicing. Despite its importance, little is known about the molecular basis of the AS regulation in plants. Particularly for an economically important crop like tomato, understanding the regulation of HS-sensitive AS will contribute to the description of such an important regulatory mechanism but also might offer new insights for increasing HS resilience. Serine/arginine-rich proteins (SR proteins) are central regulators of constitutive and AS by modulating the splice site selection by the spliceosome. This study describes two members of the RS2Z subfamily of SR proteins in tomato, namely RS2Z35 and RS2Z36, which act as core regulators of AS under HS and consequently as central factors for thermotolerance. This study investigates the interaction of the two RS2Z proteins with the HSFA2 pre-mRNA and provides evidence for their function as splicing repressors in this particular AS event. Thereby, RS2Z proteins play an important role in the HSR by modulating the AS of the key factor of the ATT. Furthermore, based on global transcriptome analysis of knockout mutants of single or both RS2Z genes, it is demonstrated that RS2Z proteins are involved in the splicing of pre-mRNAs of almost 2000 genes. Moreover, RS2Z proteins act as splicing regulators and take part in a large portion of HS-induced AS events, thus playing a broader role in AS regulation. Furthermore, the HS-induced RS2Z36 is involved in basal thermotolerance (BTT), highlighting its importance for the basic HS resilience capacity of tomato. In addition, RNA sequencing demonstrates that RS2Z proteins–especially RS2Z36–regulate the expression of proteins involved in plant immunity. The study thereby provides experimental evidence for the important and essential role of SR proteins for plant thermotolerance and suggests the existence of RS2Z-mediated crossroads of different stress responses.
Purpose: The aim of this work was to retrospectively identify prognostic factors for patients with neuroendocrine liver metastases (NELM) undergoing conventional transarterial chemoembolization (c-TACE), microwave ablation (MWA) or laser interstitial thermal therapy (LITT) and to determine the most effective therapy in terms of volume reduction and survival.
Method: Between 1996 and 2020, 130 patients (82 men, 48 women) were treated with c-TACE, 41 patients were additionally treated with thermoablative procedures.
Survival was retrospectively analyzed by using Kaplan-Meier-method. Prognostic factors were derived by using cox-regression. To find predictive factors for volume reduction due to c-TACE, a mixed-effects model was used.
Results: With c-TACE, an overall median volume reduction of 23.5 % was achieved. An average decrease of tumor volume was shown until the 6th c-TACE treatment, then the effect stopped. So, the median volume reduction off all lesions takes on a negative value from the 7th c-TACE intervention onwards. The mixed-effects model demonstrated that c-TACE interventions were most effective at the beginning of c-TACE therapy, and that treatment breaks longer than 90 days negatively influenced the outcome. For all patients evaluable for survival, Kaplan-Meier analysis showed a 1-year survival rate of 75 % and a 5-year survival rate of 36 %. Significant prognostic factors for survival were number of liver lesions (p = 0.0001) and therapeutical intention (p < 0.0001). Considering the clinical indication, 90.9 % of curative patients and 43.6 % of palliative patients responded to c-TACE therapy and thus could be submitted to a thermoablative procedure. Minor and one major complication occurred in 20.3 % of LITT and only in 8.6 % of MWA interventions. Complete ablation was observed in 95.7 % (LITT) and 93.1 % (MWA) of interventions
Conclusions: C-TACE is an effective treatment for volume reduction of NELM, however efficacy decreases after the 6th intervention and treatment breaks longer than 90 days should be avoided. With thermal ablation, a high rate of complete ablation was achieved and survival improved. Significant factors for survival were found and may be used as prognostic factors in the future.
The visual system encompasses about 20% of the cerebral cortex1 and plays a pivotal role in higher-order cognitive processes such as attention and working memory. Cognitive impairments constitute a central role in neuropsychiatric disorders such as schizophrenia (SZ). Impairments are described in visual perceptual processes including contrast, and emotion discrimination as well as in the ability to identify visual irregularities and in higher-order cognition like visual attention and working memory. Furthermore, perceptual and higher-order cognitive processes are part of the Research Domain Criteria (RDoC) project that aims to develop dimensional and transdiagnostic constructs with defined links to specific brain circuits.Therefore, the detailed study of the visual system using functional magnetic resonance imaging (fMRI) is essential to understand the processes in healthy individuals but also in populations with neuropsychiatric disorders. Visual mapping techniques include functional localizer tasks to map functionally defined regions like the fusiform face area (FFA), retinotopic mapping to map specific brain regions that are retinotopically organized in full, and visual-field localizer paradigms to define circumscribed areas within retinotopically organized areas.Thus, the latter allow studying local information processing in early visual areas. Despite advances in neuroimaging techniques, analyses of fMRI data at the group-level are impeded by interindividual macroanatomical variability. This reduces the reliability to accurately define visual areas particularly at the group-level and decreases statistical power. Single-subject based solutions for this problem are not appropriate. Analyses after volume-based alignment (VBA) and primary surface-based analyses without macroanatomical alignment do not increase macroanatomical correspondence sufficiently. Cortex-based alignment (CBA) approaches are recommended as an alternative technique to address this obstacle. However, CBA has not been evaluated for visual-field localizer paradigms. Therefore, we aimed to evaluate potential benefits of CBA for an attention-enhanced visual field localizer paradigm that maps circumscribed regions in retinotopically organized visual areas. Since previous studies solely compared surface-based data before and after CBA, we aimed to compare all three techniques: (1) a volume-based alignment (VBA), (2) a surface-based data set without (SBAV) and (3) a surface- based data set with macroanatomical alignment (CBA). Furthermore, we sought to define regions of interest (ROI) that subsequently can be used for the study of higher-order cognitive processes. Also, we aimed to investigate whether CBA facilitates the study of functional asymmetries in early visual areas as these were described in previous studies. Healthy volunteers (n=50) underwent fMRI in a 3- Tesla Siemens Trio scanner while performing an attention-enhanced visual field localizer paradigm. Our task consisted of a series of flickering, black-and white colored checkerboard stimuli that randomly appeared at one of four locations comprising the participants’ visual quadrants. In 25% of the trials the centrally located squares briefly changed their color to yellow (target trial). Participants had to indicate detection of a target by button press. Data analysis was conducted using Brain Voyager 20.6. Our approach for macroanatomical alignment included a high-resolution, multiscale curvature driven alignment procedure minimizing interindividual macroanatomical variability. Here, each folding pattern was aligned to a dynamically updated group average. Thus, we counteracted a possible confounding effect of a suboptimal selection of an individual target brain with a folding pattern deviating considerably from the cohort average. Group ROIs after CBA showed increased spatial consistency, vertical symmetry, and an increase of size. This was corroborated by an increase in the probability of activation overlap of up to 86%. CBA increased macroanatomical correspondence and thus ameliorated results of multi-subject ROI analyses. Functional differences in the form of a downward bias in visual hemifields were measured with increased reliability. In summary, our findings provide clear evidence for the superiority of CBA for the study of local information processing in early visual cortex at the group-level. This approach is of relevance for the study of visual dysfunction in neuropsychiatric disorders including schizophrenia as they show impaired visual processing that in turn impacts higher-order cognitive processes and in consequence functional outcome. In addition, our attention-enhanced visual field localizer paradigm will be useful for machine learning approaches such as multivariate pattern analysis decoding local information processes and connectivity patterns.
This cumulative thesis discusses the development of optimized force field parameters for Magnesium and resulting improved simulations of Magnesium-RNA interactions, including the in silico exploration of binding sites. This thesis is based on four publications as well as unpublished data. A fifth publication that was written during the time of the Ph.D. is discussed in the Appendix. This publication analyzes monovalent ion-specific effects at mica surfaces.
Nucleic acids in general and RNA in particular are fundamental to life itself. Especially in the folding and function of RNA, metal cations are crucial to screen the negatively charged nucleic acid backbones to allow for complex functional structures. They stabilize the tertiary structure of RNA and even drive its folding. Furthermore, similarly to proteins, RNAs can catalyze multiple reactions, rather than consisting of the 20 amino acids of a protein, RNA constitues of only four different building blocks. Metal cations play an important role here as additional cofactors. One essential ion is Magnesium (Mg2+), commonly referred to as the most important cofactor for nucleic acids. Mg2+ carries two positive charges. Its comparably small size and high charge result in a high charge density that has strong polarizing effects on its surroundings. Furthermore, Mg2+ forms a sharply defined first hydration shell with an integer number of coordinating water molecules. As a result, an exclusion zone exists around the ion within which no water molecules are observed. Moreover, Mg2+ displays a high solvation free energy and a low exchange rate of waters from its first hydration shell. Finally, it contains a strong preference towards oxygens . Together, this makes Mg2+ a particularly well suited interaction partner for the charged non-bridging phosphate oxygens on nucleic acid backbones and explains its crucial biological role.
The immense number of physiological and technological functions and applications indicates the significant scientific attention Mg2+ received. In experimental studies, however, severe difficulties arise for multiple reasons: Mg2+ is spectroscopically silent and cannot be detected directly by resonance techniques like NMR or EPR. Indirect observation is possible, either by detecting changes in the overall RNA structure with and without bound Mg2+, or by replacing the Mg2+ ion with another spectroscopically visible ion. In the latter, however, it cannot be guaranteed that the altered ion does not also alter the interaction site or even the whole structure. Another detection method is X-ray crystallography, but here challenges arise from Mg2+ being almost indistinguish- able from other ions as well as from water if not for very high resolutions and precise stereochemical considerations.
Alternatively, molecular dynamics (MD) simulations can be performed, with the power of adding atomistic insight to the interplay of metal cations and nucleic acids. MD simulations, however, are only as accurate as their underlying interaction models and the development of accurate models for the description of Mg2+ faces challenges especially in describing three properties:
(i) Polarizability. Commonly used simple models like the 12-6 type Lennard-Jones model typically fail to reproduce simultaneously thermodynamic and structural properties of a single ion in water. Alternative strategies include the use of a 12-6-4 type Lennard-Jones potential as proposed by Li and Merz, where the additional r−4 term explicitly accounts for polarization effects. The resulting Lennard-Jones potential is thereby more attractive and more long-ranged than for typical models of the 12-6 type.
(ii) Kinetics. Most Mg2+ models either fully ignore considerations about the timescales on which water exchanges from the first hydration shell of the ion or use inappropriate methodology to calculate the underlying kinetics. A realistic characterization of the involved timescales is imperative to be able to describe a seemingly simple process like the transition from inner-to-outer sphere binding and vice versa. This transition governs most biochemical reactions involving Mg2+ and therefore subsequent processes can only by as fast as the transition itself. However, already the previous step – the exchange of a water from the first hydration shell of the ion – is described my current Mg2+ models up to four orders of magnitude too slowly, which makes the observation of such events on the timescale of a typical simulation difficult or even impossible. Alln ́er et al. [48] as well as Lemkul and MacKerell explicitly considered the exchange rate into their parameter optimization procedure. To compute the rate, both studies applied Transition State Theory along a single reaction coordinate – the distance towards one of the exchanging waters. However, it could be shown that the water exchange from the first hydration shell requires at least the consideration of both exchanging water molecules in order to be able to realistically record the underlying rate using Transition State Theory. Furthermore, the model of Alln ́er et al. significantly underestimates the free energy of solvation of the ion.
(iii) Interactions between Mg2+ and nucleic acids. Typically, ionic force field parame- terization concentrates on the optimization of solution properties. The trans- ferability of these solution optimized parameters towards interactions with biomolecules, however, often fails.
Die Emergenz digitaler Netzwerke ist auf die ständige Entwicklung und Transformation neuer Informationstechnologien zurückzuführen.
Dieser Strukturwandel führt zu äußerst komplexen Systemen in vielen verschiedenen Lebensbereichen.
Es besteht daher verstärkt die Notwendigkeit, die zugrunde liegenden wesentlichen Eigenschaften von realen Netzwerken zu untersuchen und zu verstehen.
In diesem Zusammenhang wird die Netzwerkanalyse als Mittel für die Untersuchung von Netzwerken herangezogen und stellt beobachtete Strukturen mithilfe mathematischer Modelle dar.
Hierbei, werden in der Regel parametrisierbare Zufallsgraphen verwendet, um eine systematische experimentelle Evaluation von Algorithmen und Datenstrukturen zu ermöglichen.
Angesichts der zunehmenden Menge an Informationen, sind viele Aspekte der Netzwerkanalyse datengesteuert und zur Interpretation auf effiziente Algorithmen angewiesen.
Algorithmische Lösungen müssen daher sowohl die strukturellen Eigenschaften der Eingabe als auch die Besonderheiten der zugrunde liegenden Maschinen, die sie ausführen, sorgfältig berücksichtigen.
Die Generierung und Analyse massiver Netzwerke ist dementsprechend eine anspruchsvolle Aufgabe für sich.
Die vorliegende Arbeit bietet daher algorithmische Lösungen für die Generierung und Analyse massiver Graphen.
Zu diesem Zweck entwickeln wir Algorithmen für das Generieren von Graphen mit vorgegebenen Knotengraden, die Berechnung von Zusammenhangskomponenten massiver Graphen und zertifizierende Grapherkennung für Instanzen, die die Größe des Hauptspeichers überschreiten.
Unsere Algorithmen und Implementierungen sind praktisch effizient für verschiedene Maschinenmodelle und bieten sequentielle, Shared-Memory parallele und/oder I/O-effiziente Lösungen.
Stress influences health not only directly, but also indirectly through changes in health-related behaviours, such as diet. Research has shown that stress influences individuals’ eating behaviour in different ways: Some increase, some decrease food intake, while others show no change. Identifying individuals at risk for stress-induced eating is essential for the development of tailored strategies for the prevention and treatment of overweight and obesity. The individual-difference model of stress-induced eating suggests that individual differences in the dietary response to stress are determined by differences in learning history, attitudes, or biology. Even though many studies have tried to identify person-characteristics that explain individual differences in the dietary response to stress, evidence remains inconclusive. Considering that eating is a repeated-occurrence health behaviour which is performed multiple times a day, Ecological Momentary Assessment (EMA) seems particularly promising to study the complex relationship between stress and food intake when and where it naturally occurs. Despite its potential, the number of studies applying EMA to assess the stress and eating relationship is limited. Furthermore, previous EMA studies show two limitations: (1) Actual food intake is not assessed and (2) inappropriate data analysis approaches are applied to semicontinuous outcomes. Therefore, the first aim of the present dissertation was to address the lack of an EMA tool that allows the assessment of stress and actual food intake by developing and evaluating the APPetite-mobile-app. Feasibility and usability of the APPetite-mobile-app as well as validity of the incorporated food record were empirically examined (Paper 1). Given the lack of an appropriate data analysis procedure, the second aim of the present dissertation was the introduction of a sophisticated statistical approach for semicontinuous data (Paper 2): Multilevel two-part modelling allows studying the influence of stress on the occurrence (i.e., whether individuals eat) as well as the amount of food intake (i.e., how much individuals eat) while accounting for the potential dependency between the two. Lastly, the novel EMA tool and the advanced data analysis procedure were integrated in order to gain novel insights into individual differences in the dietary response to stress and thereby identify individuals at risk for stress-induced eating in daily life (Paper 3). Results of Paper 1 showed good feasibility and acceptable usability of the APPetite-mobile-app as well as validity of the incorporated food record. Findings of Paper 2 highlight that multilevel two-part models offer novel and distinct insights in terms of the occurrence and the amount of food intake and are therefore not only methodologically but also conceptually promising. Paper 3 provides first evidence that the dietary response to stress might not be as stable as yet assumed. Time-varying factors might moderate the relationship between stress and actual food intake. Therefore, an expansion of the individual-difference model is proposed which accounts for time-varying factors. Further EMA studies are needed to verify the expanded model and identify time-varying factors which influence the dietary response to stress. Beyond that, improvements in the dietary assessment are required in order to allow prolonged EMA periods as well as larger samples. The present dissertation contributes to the research on the stress and eating relationship as it overcomes limitations of previous EMA studies and yields novel insights into the relationship between stress and actual food intake in daily life. Not only identifying individuals at risk for stress-induced eating, but also the identification of situations with an increased risk for stress-induced eating appears to be important for the development of targeted strategies for the prevention and treatment of overweight and obesity.
The scope of this thesis is to elaborate on the use cases of the EEG in pain research. It has been submitted as a cumulative dissertation, meaning that the main part of this thesis has been previously published in international peer-reviewed journals. The first part of this thesis begins with an introduction which describes the general methodoligcal considerations and theoretical background information that is needed to perform pain research using the EEG. Then, I will give a summary of the results of all three studies and the subsequently published manuscripts. The discussion will give an outlook on two ongoing projects and elaborate how the methodology that has been compiled throughout my time as a PhD student can be further applied to scientific problems in pain research. I will conclude with the possibilities and the limitations of the EEG in pain research. The second part of this thesis consists of three publications that cover three individual studies, of which I am the lead/first author. These publications describe different use cases for the EEG in pain research. The first publication lays out the methodological backbone of this thesis, analyzing the exact EEG parameters that are needed to achieve the results in the following projects. Then, I present two additional studies. The first study describes the usefulness of pain-related evoked signatures after standardized noxious stimulation in the EEG in patients undergoing general anesthesia. The second study outlines differences in the pain processing of elite endurance athletes versus a normally active control group. Furthermore, it outlines how the function of the endogenous pain modulatory system can be measured in the EEG using CPM. All studys are discussed individually as per the journal guidelines.
This work characterizes the post-PKS modifications of AQ-256. Additionally, the second part describes the establishment of an AQ production platform for electrolyte generation that can be utilized in redox-flow-batteries. Lastly, a silent BGC that encodes the genes for terpenoid biosynthesis was described and characterized with regards to product formation and putative ecological function.
Antimicrobial resistant infections arise as a consequential response to evolutionary mechanisms within microbes which cause them to be protected from the effects of antimicrobials. The frequent occurrence of resistant infections poses a global public health threat as their control has become challenging despite many efforts. The dynamics of such infections are driven by processes at multiple levels. For a long time, mathematical models have proved valuable for unravelling complex mechanisms in the dynamics of infections. In this thesis, we focus on mathematical approaches to modelling the development and spread of resistant infections at between-host (population-wide) and within-host (individual) levels.
Within an individual host, switching between treatments has been identified as one of the methods that can be employed for the gradual eradication of resistant strains on the long term. With this as motivation, we study the problem using dynamical systems and notions from control theory. We present a model based on deterministic logistic differential equations which capture the general dynamics of microbial resistance inside an individual host. Fundamentally, this model describes the spread of resistant infections whilst accounting for evolutionary mutations observed in resistant pathogens and capturing them in mutation matrices. We extend this model to explore the implications of therapy switching from a control theoretic perspective by using switched systems and developing control strategies with the goal of reducing the appearance of drug resistant pathogens within the host.
At the between-host level, we use compartmental models to describe the transmission of infection between multiple individuals in a population. In particular, we make a case study of the evolution and spread of the novel coronavirus (SARS-CoV-2) pandemic. So far, vaccination remains a critical component in the eventual solution to this public health crisis. However, as with many other pathogens, vaccine resistant variants of the virus have been a major concern in control efforts by governments and all stakeholders. Using network theory, we investigate the spread and transmission of the disease on social networks by compartmentalising and studying the progression of the disease in each compartment, considering both the original virus strain and one of its highly transmissible vaccine-resistant mutant strains. We investigate these dynamics in the presence of vaccinations and other interventions. Although vaccinations are of absolute importance during viral outbreaks, resistant variants coupled with population hesitancy towards vaccination can lead to further spread of the virus.
Cardiovascular disease (CVD) is the leading cause of death in the western world. Aging as the major risk factor for the development of CVD leads to structural changes in the heart and the vasculature. In addition to endothelial cells, mural cells, including smooth muscle cells and pericytes, form the vascular wall. Pericytes are defined as the perivascular cells located in the basement membrane of the capillaries, which are the smallest components of the vascular system and ensure the gas exchange in the tissue. In the different parts of the terminal vascular bed, pericytes receive different phenotypes and organ-specific functions. In addition to the stabilization of the vascular wall, pericytes are relevant for the formation of new vessels. Due to their potential of multipotent stem cells, pericytes can differentiate into different cell types and thus take a position in developmental processes. Pericytes play a crucial role in the development and diseases of the vascular system. Moreover, pericyte coverage is reduced in the aged heart. Nonetheless, the function of pericytes in the heart and their importance during cardiac aging is not completely understood.
To study the pericyte population in the aging heart, we have performed single-nucleus RNA-sequencing analysis comparing hearts from 12-weeks-old (young) and 18-month-old (old) mice. The detailed analysis of 336 differentially expressed genes (DEG) revealed that Rgs5 is downregulated in aged pericytes. Regulator of G-protein signaling 5 (RGS5), an established marker for pericytes, is involved the regulation of the blood pressure and in the formation of various cardiovascular diesases, including cardiac hypertrophy, myocardial infarction and atherosclerosis. We have furthermore confirmed this observation in vivo. Gene ontology (GO) analysis of DEG revealed that aged pericytes are characterized by the downregulation of genes involved in cell adhesion. Further, we have performed cell biology approaches using human brain vascular pericytes (hBVP) to investigate the role of Rgs5 in pericytes in vitro. Efficient knockdown of RGS5, although has no effect on cellular metabolism, viability and endothelial permeability, induces a reduction of pericyte adhesion to both a gelatine matrix and endothelial cells in a 3D matrigel culture. This was associated with the formation of filopodia. The altered phenotype suggested a changing identity of the pericytes. We could confirm that a loss of RGS5 causes a decreased expression of the pericyte markers PDGFRb and NOTCH3 and also leads to an overexpression of COL1A1, a fibroblast marker.
Together, our findings suggest that RGS5 is required for pericyte adhesion to endothelial cells and its downregulation in the aged mural cells could explain the reduction of pericyte coverage in the aged hearts. Further, RGS5 may be the key regulator for pericyte identity, as pericytes show an altered expression profile of cellular markers. The dedifferentiation of pericytes to a more fibroblast-like cell type could explain the increased fibrosis during age-related cardiac remodeling. We believe that RGS5 is a great candidate to explore and study the molecular mechanisms that regulate pericyte function in the heart, both in homeostasis and during aging.
This Ph. D. thesis with the title "Characterisation of laser-driven radiation beams: Gamma-ray dosimetry and Monte Carlo simulations of optimised target geometry for record-breaking efficiency of MeV gamma-sources" is dedicated to the study of the acceleration of electrons by intense sub-picosecond laser pulses propagating in a sub-millimeter plasma with near-critical electron density (NCD) and resulting generation of the gamma bremsstrahlung and positrons in the targets of different materials and thickness.
Laser-driven particle acceleration is an area of increasing scientific interest since the recent development of short pulse, high-intensity laser systems. The interaction of intense high-energy, short-pulse lasers with solid targets leads to the production of high-energy electrons in the relativistic laser intensity regime of more than 1018 W /cm2. These electrons play the leading role in the first stage of the interaction of laser with matter, which leads to the creation of laser sources of particles and radiation. Therefore, the optimisation of the electron beam parameters in the direction of increasing the effective temperature and beam charge, together with a slight divergence, plays a decisive role, especially for further detection and characterisation of laser-driven photon and positron beams.
In the context of this work, experiments were carried out at the PHELIX laser system (Petawatt High-Energy Laser for Heavy Ion eXperiments) at GSI Helmholtz Center for Heavy-Ion Research GmbH in Darmstadt, Germany. This thesis presents a thermoluminescence dosimetry (TLD) based method for the measurement of bremsstrahlung spectra in the energy range from 30 keV to 100 MeV. The results of the TLD measurements reinforced the observed tendency towards the strong increase of the mean electron energy and number of super-ponderomotive electrons. In the case of laser interaction with long-scale NCD-plasmas, the dose caused by the gamma-radiation measured in the direction of the laser pulse propagation showed a 1000-fold increase compared to the high contrast shots onto plane foils and doses measured perpendicular to the laser propagation direction for all used combinations of targets and laser parameters.
In this thesis I present novel characterisation method using a combination of TLD measurements and Monte Carlo FLUKA simulations applicable to laser-driven beams. The thermoluminescence detector-based spectrometry method for simultaneous detection of electrons and photons from relativistic laser-induced plasmas initially developed by Behrens et al. (Behrens et al., 2003) and further applied in experiments at PHELIX laser (Horst et al., 2015) delivered good spectral information from keV energies up to some MeV, but as it was presented in (Horst et al., 2015) this method was not really suitable to resolve the content of photon spectra above 10 MeV because of the dominant presence of electrons. Therefore, I created new evaluation method of the incident electron spectra from the readings of TLDs. For this purpose, by means of MatLab programming language an unfolding algorithm was written. It was based on a sequential enumeration of matching data series of the dose values measured by the dosimeters and calculated with of FLUKA-simulations. The significant advantage of this method is the ability to obtain the spectrum of incident electrons in the low energy range from 1 keV, which is very difficult to measure reliably using traditional electron spectrometers.
The results of the evaluation of the effective temperature of super-ponderomotive electrons retrieved from the measured TLD-doses by means of the Monte-Carlo simulations demonstrated, that application of low density polymer foam layers irradiated by the relativistic sub-ps laser pulse provided a strong increase of the electron effective temperature from 1.5 - 2 MeV in the case of the relativistic laser interaction with a metallic foil up to 13 MeV for the laser shots onto the pre-ionized foam and more than 10 times higher charge carried by relativistic electrons.
The progressive simulation method of whole electron spectra described with two -temperatures Maxwellian distribution function has been developed and the results of dose simulations were compared with the acquired experimental data. The advanced feature of this method, which distinguishes it from the results of the simulation of the photon spectrum using the interaction with the target of mono-energetic electron beams (Nilgün Demir, 2013; Nilgün Demir, 2019) or the initial electron spectrum expressed as a function of one electron temperature (Fiorini, 2012), is the ability to simulate the initial electron spectrum described by the Maxwellian distribution function with two temperatures.
The important objective of this thesis was dedicated to the study and characterisation of laser-driven photon beams. In addition to this, the positron beams were evaluated. The investigation of bremsstrahlung photons and positrons spectra from high Z targets by varying the target thickness from 10 µm to 4 mm in simulated models of the interactions of electron spectra with Maxwellian distribution functions allowed to define an optimal thickness when the fluences of photons and positrons are maximal. Furthermore based on the results of FLUKA simulations the gold material was found to be the most suitable for the future experiments as e − γ target because of its highest bremsstrahlung yield.
Additionally Monte Carlo simulations were performed applying the obtained electron beam parameters from the electron acceleration process in laser-plasma interactions simulated with particle-in-cell (PIC) code for two laser energies of 20 J and 200 J. The corresponding electron spectra were imported into a Monte Carlo code FLUKA to simulate the production process of bremsstrahlung photons and positrons in Au converter. FLUKA simulations showed the record conversion of efficiency in MeV gammas can reach 10%, which reinforces the generation of positrons. The obtained results demonstrate the advantages of long-scale plasmas of near critical density (NCD) to increase the parameters of MeV particles and photon beams generated in relativistic laser-plasma interaction. The efficiency of the laser-driven generation of MeV electrons and photons by application of low-density polymer foams is essentially enhanced.
In this thesis, the focus is on the actions of primary school children using digital and analogue materials in comparable mathematical situations. To emphasise actions on different materials in the mathematical learning process, a semiotic perspective according to C. S. Peirce (CP 1931-35) on mathematics learning is adopted. This theoretical research perspective highlights the activity itself on diagrams as a mathematical activity and brings actions to the forefront of interest. The actions on comparable digital and analogue diagrams are the basis for the reconstruction of mathematical interpretations of learners in 3rd and 4th grade.
The research questions investigate to what extent possible differences between the reconstructed interpretations of the learners can be attributed to the different materials and what influence the material has on the mathematical relationships that the learners take into account in their actions to manipulate the diagram.
For the reconstruction of the diagram interpretations based on the learners' actions on the material, a semiotic specification of Vogel's (2017) adaptation of Mayring's (2014) context analysis is used. This specification is based on Peirce's triadic theory of signs (Billion, 2023). The reconstructed interpretations of the analogue and digital diagrams are compared in a second step to identify possible differences and similarities.
The results of the qualitative analyses show, among other things, that despite the different actions of the learners on the digital and analogue diagrams, it is possible to reconstruct the same diagram interpretations if the learners establish the same mathematical relationships between the parts of the diagrams in their actions. There are also passages in the analyses where the same diagram interpretations cannot be reconstructed based on the actions on the digital and analogue materials. If the digital material acts as a tool and automatically creates several relationships between the parts of the diagram triggered by an action, then the reconstruction of the learners' diagram interpretations based on the analysis of their actions is partially possible. If the tool automatically establishes relationships, these must then be interpreted by the learners using gestures and phonetic utterances to understand the newly created diagram. Thus, a tool changes how mathematical relationships are expressed, because learners no longer have to interpret the relationships before their actions to manipulate the diagram itself, but afterwards through gestures and phonetic utterances. Regarding diagrammatic reasoning according to Peirce (NEM IV), this means that with analogue material the focus is on the construction and manipulation of diagrams through rule-guided actions, whereas with digital material, which functions as a tool, there is more emphasis on observing the results of the manipulations on the diagram.
At the end of the thesis, a recommendation for teachers on how to design mathematics lessons for primary school children using digital and analogue materials will be derived from the results.
The literature cited in this summary can be found in the references of the presented thesis.
Many metabolic pathways of eukaryotes are carried out in form of interconnected pathways, which take place in organelles. The organelle membrane separates the reaction compartments from each other, making it a key feature of organelle existence in the cell. To maintain cellular homeostasis, organelle positioning in and transport through the cell as well as organelle interaction are important for the organisms. In plants, organellar movement of peroxisomes, Golgi stacks and mitochondria was shown to be mediated by the actin-myosin machinery. The molecular mechanisms are not elucidated, but working models comprise classical movement mechanisms of motor proteins pulling their cargo on cytoskeletal filaments. In contrast, many mechanisms of chloroplasts movement, which are regulated by blue and red light, are deciphered but follow a different molecular mechanism. Plastidal relatives of the chloroplast have long been disregarded by scientific research but carry out important metabolic reactions to maintain cellular homeostasis. The cellular transport and movement mechanisms of root plastids have not been described in detail until now. Additionally, all plastid subspecies can form tubular structures, called stromules. Those are thought to be involved in the organelle communication and metabolite exchange. Since they are very mobile structures, they influence the organellar dynamic of plastids. This work aimed for an in-detail description of the cellular movements of root plastids in the plant Arabidopsis thaliana to elucidate underlying mechanisms of their movement. Additionally, the dynamics of root plastid stromules were investigated, led by the questions, if and how stromules are involved in the mediation of plastidal movement and their overall dynamics. Plastidal movement in Arabidopsis thaliana was captured using light sheet-based fluorescence microscopy. 4D image data was automatically analyzed using the program Arivis Vision 4D with subsequent manual correction. Additionally to the 4D approach, a manual 3D analysis of plastid and stromule dynamics was performed. The results of the semiautomated analysis displayed heterologous distribution of the plastidal movement. Using a combination of the vector length of each motion event and the angle in relation to previous motion vectors, the proportions of different movement patterns were determined. Main fractions of the data showed undirected motion of plastids, whereas small proportions displayed directed movement with speed up to 8.5 µm/sec. Directed motion was shown to be carried out on defined routes in the cell. Salt stress did not affect plastidal motion, whereas drought stress lead to its reduction. Sucrose depletion led to a drastic decrease of plastidal movement. Additionally, stromule dynamics were investigated using the acquired image data. Stromules were observed in high frequency mainly at stationary plastids giving them the opportunity of dynamic interaction in their cellular surrounding. Stromules reached lengths of up to 60 µm. Additionally, they displayed a variety of movement patterns that contributed greatly to the overall plastid dynamics. Stromule related motion events were captured reaching up to 3.2 µm/sec. Similar to determined plastid dynamics, stromule motions were reduced during drought stress and sucrose depletion, but also were negatively influenced by salt stress. Those results strongly favor an actin-myosin mediated movement machinery mediating the plastidal and stromule movement. This stands in contrast to previous results describing the movement mechanisms of light induced chloroplast movement.
In an additional approach, the molecular mechanisms underlying stromule formation were analyzed. Previous results describe that stromule formation can be induced at isolated chloroplasts of the plant Nicotiana benthamiana by mixing it with concentrated cell extract. During this work, a variation of the described assay was established using the plant Pisum sativum. It was shown that an unknown protein factor presumably undergoing protein-lipid interaction is responsible for in vitro stromule formation. Using a combination of sucrose gradient centrifugation and anion exchange chromatography, the desired factor could be enriched, while the majority of unwanted proteins could be reduced drastically. A following LC-MS analysis revealed a selection of proteins with membrane interaction- and unknown functions that might be involved in in vitro stromule formation.
We thoroughly study the properties of conically stable polynomials and imaginary projections. A multivariate complex polynomial is called stable if its nonzero whenever all coordinates of the respective argument have a positive imaginary part. In this dissertation we consider the generalized notion of K-stability. A multivariate complex polynomial is called K-stable if its non-zero whenever the imaginary part of the respective argument lies in the relative interior of the cone K. We study connections to various other objects, including imaginary projections as well as preservers and combinatorial criteria for conically stable polynomials.
Ob Klimawandel oder Luftverschmutzung: Die chemischen und physikalischen Prozesse in der Atmosphäre haben wichtige Auswirkungen auf die menschliche Gesundheit und Ökosysteme. Dabei ist die Atmosphäre mehr als ein Gemisch aus Stickstoff, Sauerstoff, Wasserdampf, Helium und Kohlenstoffdioxid. Es gibt zahlreiche Spurengase, deren Gesamtanteil am Volumen weniger als 1 % ausmacht. In dieser Arbeit werden Stickstoffoxide, Schwefeldioxid, Kohlenstoffmonoxid und Schwefelsäure näher betrachtet, die im Rahmen der flugzeugbasierten Messkampagne Chemistry of the Atmosphere: field experiment in Europe (CAFE-EU)/BLUESKY gemessen wurden.
Die Stickstoffoxide NO und NO2, als NOx zusammengefasst, besitzen hauptsächlich anthropogene Quellen, allen voran fossile Verbrennung und industrielle Prozesse. Zwischen NO und NO2 besteht ein photochemisches Gleichgewicht, sodass in der Atmosphäre vor allem NO2 in relevanten Konzentrationen vorkommt; dies wirkt aufgrund der Bildung von Salpetersäure, HNO3, in wässriger Lösung beim Einatmen ätzend und ist entsprechend gesundheitsschädlich. Troposphärisches Ozon, O3, wesentlicher Bestandteil von Sommersmog, wird hauptsächlich durch die Reaktion von NO mit Peroxiden (HO2 und RO2) gebildet. In der Stratosphäre entstehen NOx hauptsächlich durch die Photodissoziation von Lachgas, N2O, das aufgrund seiner langen Lebenszeit von der Tropo- in die Stratosphäre transportiert werden kann und dort die wichtigste Stickstoffquelle darstellt. In der Stratosphäre tragen NOx zum katalytischen Abbaumechanismus des Ozons bei (Bliefert, 2002; Seinfeld and Pandis, 2016).
Schwefeldioxid, SO2, ist ein toxisches Gas, dessen atmosphärische Quellen hauptsächlich anthropogen sind, nämlich fossile Verbrennung und industrielle Prozesse; Senken sind trockene und feuchte Deposition, wobei letztere zu saurem Regen führen kann. Seit den 1980ern sinken die globalen SO2-Emissionen. SO2 kann in der Atmosphäre zu Sulfat und Schwefelsäure oxidiert werden, was Hauptbestandteil des Wintersmogs ist. Der wichtigste Mechanismus ist die Oxidation mit dem Hydroxylradikal, OH˙, unter Beteiligung von Wasserdampf. In der Stratosphäre ist Carbonylsulfid, OCS, die wichtigste Schwefelquelle, da es analog zum N2O dank seiner langen Lebenszeit von der Tropo- in die Stratosphäre transportiert werden kann (Bliefert, 2002; Seinfeld und Pandis, 2016). Typische Konzentrationen von Schwefelsäure sind 105 cm–3 nachts und 107 cm–3 tagsüber in der Troposphäre sowie 105 cm–3 tagsüber in der Stratosphäre (Clarke et al., 1999; Weber et al., 1999; Fiedler et al., 2005; Arnold, 2008; Kürten et al., 2016; Berresheim et al., 2000).
Kohlenstoffmonoxid, CO, ist ein toxisches Gas, das zu gleichen Teilen durch direkte Emissionen (v.a. Biomasseverbrennung und fossile Verbrennung) und In-situ-Oxidation (v.a. von Methan, Isopren und industriellen Kohlenwasserstoffen) in die Atmosphäre gelangt. Die Hauptsenke ist die Reaktion mit OH˙ in der Troposphäre. Seit 2000 sinkt die globale CO-Konzentration (Bliefert, 2002).
Doch neben Gasen sind auch Aerosolpartikel fester Bestandteil des Gemisches Luft, welche luftgetragene feste oder flüssige Teilchen sind. Primäre Aerosolpartikel werden direkt als solche in die Atmosphäre emittiert, während sekundäre Aerosolpartikel in der Atmosphäre gebildet werden, indem gasförmige Vorläufersubstanzen mit geringer Flüchtigkeit auf primären Partikeln kondensieren oder durch Zusammenclustern und Anwachsen komplett neue Partikel bilden. Aerosolpartikel ermöglichen als Wolkenkondensationskeime erst die Bildung von Wolken und wirken somit – neben ihrem direkten reflektierenden Effekt – durch Änderung der Wolkenbedeckung und -eigenschaften insgesamt kühlend aufs Klima und beeinflussen die lokalen und globalen Wasserkreisläufe. Doch sie haben auch negative Auswirkungen auf die menschliche Gesundheit und sind für eine Verkürzung der durchschnittlichen Lebensdauer in Regionen mit hohen Feinstaubbelastungen verantwortlich (Seinfeld und Pandis, 2016; Bellouin et al., 2020; World Health Organization, 2016).
Neben den bisher betrachteten neutralen, also ungeladenen Gasen und Partikeln sind Ionen in der Gasphase sowie geladene Partikel ebenfalls Bestandteil der Atmosphäre. Sie spielen bei vielen atmosphärischen Prozessen eine wichtige Rolle, wie etwa bei Gewittern, Radiowellenübertragung und ionen-induzierter Nukleation von Aerosolpartikeln. Die Hauptquellen für Ionisation in der Tropo- und Stratosphäre ist die galaktische kosmische Strahlung, die entgegen ihrem Namen hauptsächlich aus Protonen und α-Partikeln (primäre Partikel genannt) besteht und in der Erdatmosphäre durch Kollision mit Luftmolekülen Teilchenschauer von sekundären Partikeln (u.a. Myonen, Pionen und Neutrinos) hervorruft. Die primären und sekundären Partikel können die Luftmoleküle ionisieren unter Entstehung von N+, N2+, O+, O2+ und Elektronen. Sauerstoff reagiert rasch mit letzteren zu O– und O2–. Diese Kationen und Anionen reagieren weiter, bis Ionenclustern der Summenformeln (HNO3)n(H2O)mNO3– und H+(H2O)n(B)m gebildet werden, wobei B Basen wie Methanol, Aceton, Ammoniak oder Pyridin sind. Weitere Ionisationsquellen sind der Zerfall des Radioisotops 222Rn in Bodennähe und ionisierende Solarstrahlung oberhalb der Stratosphäre. Atmosphärische Ionen haben zwei wichtige Senken: die Wiedervereinigung, auch Rekombination genannt, bei der sich ein Kation und ein Anion gegenseitig neutralisieren sowie das Anhaften an Aerosolpartikeln. Letztere Senke ist vor allem in der Troposphäre aufgrund der relativ hohen Konzentration an Aerosolpartikeln relevant (Arnold, 2008; Viggiano und Arnold, 1995; Bazilevskaya et al., 2008; Hirsikko et al., 2011).
This thesis presents a first-of-its-kind phenomenological framework that formally describes the development of acquired epilepsy and the role of the neuro-immune axis in this development. Formulated as a system of nonlinear differential equations, the model describes the interaction of processes such as neuroinflammation, blood- brain barrier disruption, neuronal death, circuit remodeling, and epileptic seizures. The model allows for the simulation of epilepsy development courses caused by a variety of neurological injuries. The simulation results are in agreement with ex- perimental findings from three distinct animal models of epileptogenesis. Simula- tions capture injury-specific temporal patterns of seizure occurrence, neuroinflam- mation, blood-brain barrier leakage, and progression of neuronal death. In addition, the model provides insights into phenomena related to epileptogenesis such as the emergence of paradoxically long time scales of disease development after injury, the dose-dependence of epileptogenesis features on injury severity, and the variability of clinical outcomes in subjects exposed to identical injury. Moreover, the developed framework allows for the simulation of therapeutic interventions, which provides insights into the injury-specificity of prominent intervention strategies. Thus, the model can be used as an in silico tool for the generation of testable predictions, which may aid pre-clinical research for the development of epilepsy treatments.
G-protein-coupled receptors (GPCRs) comprise the largest transmembrane receptor family encoded in the human genome. GPCRs mediate the effect of a wide diversity of stimuli including light, odorants, ions, lipids, small peptides, and hormones. GPR182 is a GPCR for which no endogenous ligand has been identified yet. In the absence of an identified ligand, GPR182 remained poorly understood, and its biological functions had remained elusive. The presented work shows that GPR182 is highly and specifically expressed in microvascular endothelial cells. Phylogenetically, GPR182 is closely related to the atypical chemokine receptor 3 (ACKR3). Here, I show that GPR182 binds the chemokines CXCL10, -12 and -13. Similarly to other so-called atypical chemokine receptors, GPR182 is not coupled to G-proteins but is rather constitutively internalized following β-arrestin 2 recruitment. Consistent with potential scavenger functions, we detected increased concentration of the chemokines which bind the receptor in the plasma of Gpr182 deficient mice. Finally, we show that GPR182 plays an essential role in maintaining hematopoietic stem cells within the bone marrow niche. In summary, the data indicate that GPR182 is a novel member of the group of atypical chemokine receptors, which plays an important role in the chemokine/chemokine receptor network.
Melting inside earth is a common phenomenon and can be observed in many different regions where melt travels through the mantle and crust to eventually reach the surface where it crystallizes to build large volcanic provinces, whole stratigraphic layers of flood basalts, or even the oceanic crust. Often, melt reaching the surface is a good source of information. It can be used to achieve a better understanding about processes taking place in deeper regions inside the mantle and it is therefore essential to fundamentally understand melting and melt percolation processes. In order to achieve a deeper understanding, the aim of this thesis is to investigate processes that are connected to melting by using numerical models.
The physical model used is a so called two-phase flow model which describes the ability of melt to percolate through a viscously deforming, partially molten matrix. A famous feature of two-phase flow are solitary porosity waves, which are waves of locally higher porosity ascending through a partially molten background, keeping its shape constant, driven by decompaction and compaction of the solid matrix in front and behind the wave.
The viscosity law for shear- and volume viscosity was strongly simplified in most previous studies that modeled solitary waves. Often the porosity dependency is underestimated or its influence on the volume viscosity is even neglected, leading to too high viscosities. In this work more realistic laws are used that strongly decrease for small melt fractions. Those laws are incorporated into a 2D Finite Difference mantle convection code with two-phase flow to study the ascent of solitary porosity waves.
The model results show that an initial Gaussian-shaped wave rapidly evolves into a solitary wave with a certain amplitude, traveling upwards with constant velocity. Even though strongly weaker viscosities are used, the effect on dispersion curves and wave shape are only minor as long as the background porosity is rather small. The results are still in agreement to semi-analytical solutions which neglect shear stresses in the melt segregation equation. Higher background porosities and wave amplitudes lead to significant decrease in phase velocity and wave width, as the viscosity is strongly effected. However, the models show that solitary waves are still a possible mechanism for more realistic matrix viscosities.
While the ascending of porosity waves are mostly described by the movement of fluid melt, partially molten regions inside Earth trigger upwelling of both, solid and fluid phases, which can be called diapirism. While diapirs can have a wide variety of wavelengths, porosity waves are restricted to a few times the compaction length. The size of a melt perturbation in terms of compaction length therefore describes whether material is transported by diapirism or porosity waves. In this thesis we study the transition from diapiric rise to solitary porosity waves by systematically changing the size of a porosity perturbation from 1.8 to 120 times the compaction length. In case of a perturbation of the size of a few times the compaction length a single porosity wave will emerge, either with a positive or negative vertical matrix flux and if melt is not allowed to move relative to the matrix a diapir will emerge. In between these physical end members a regime can be observed where the partially molten perturbation will split up into numerous solitary waves, whose phase velocity is low compared to the Stokes velocity and the swarm of solitary waves will ascend jointly as a diapir, slowly elongating due to a higher amplitude main solitary wave.
Solitary waves will always emerge from a melt perturbation as long as two-phase flow is enabled, but the time for a solitary wave to emerge increases non-linearly with the perturbation radius in terms of compaction length. In nature, in many cases this time might be too long for solitary waves to emerge.
Another important feature when it comes to two-phase flow is the transport of trace elements in melt. Incompatible elements prefer to go into the melt, which eventually enriches the area where it crystallizes again. In order to model this redistribution, the code FDCON was extended to allow for fully consistent transport of elements in melt, including melting, freezing and re-equilibration with time. A 2D model, a simple representation of a volcanic back arc, is set up to investigate the behavior of trace elements. The influence of retention number and re-equilibration time is examined. Lava-lamp like convection can be observed in the lower part of the model, producing melt, that eventually leads to enrichment in trace elements in the upper high-viscous layer. The total enrichment in this layer approaches an asymptotic value and a 0D model is introduced to recreate this behavior.
Adhesion to host cells is the first and most crucial step in infections with pathogenic Gram negative bacteria and is often mediated by trimeric autotransporter adhesins (TAAs). TAA-producing bacteria are the causative agent of many human diseases and TAA targeted anti-adhesive compounds might counteract such bacterial infections. The modularly structured Bartonella adhesin A (BadA) is one of the best characterised TAAs and serves as an attractive adhesin to study the domain-function relationship of TAAs during infection. BadA is a major virulence factor of B. henselae and is essential for the initial attachment to host cells via adhesion to extracellular matrix proteins. B. henselae is the causative agent of cat scratch disease and adheres to fibronectin using its long BadA fibres. The life cycle of this pathogen, with alternating host conditions, drives evolutionary and host-specific adaptations.
Human, feline, and laboratory adapted B. henselae isolates display genomic and phenotypic differences. By analysing the genomes of eight B. henselae strains using long-read sequencing, a variable genomic badA island with a diversified and highly repetitive badA gene flanked by badA pseudogenes was identified. Moreover, numerous conserved flanking genes were characterised, however, their influence on the regulation of badA expression and modification remains to be explored. It seems that B. henselae G 5436 is the evolutionary ancestor of the other B. henselae strains analysed in this work. The diversity of the badA island among the B. henselae strains indicates that the downstream badA-like domain region might be used as a ‘toolbox’ for rearrangements in the badA gene. Overall, it is suggested that badA-domain duplications, insertions, and/or deletions are the result of active phase variation via site-specific recombination and contribute to rapid host adaptation in the scope of pathogenicity, immune evasion, and/or enhanced long-term colonisation.
The model strain B. henselae Marseille expresses a badA gene that includes 30 repetitive neck/stalk domains, each consisting of several predicted structural motifs. To further elucidate the motif sequences that mediate fibronectin binding, various modified badA constructs were generated. Their ability to bind fibronectin was assessed via whole-cell ELISA and fluorescence microscopy. In conclusion, it is suggested that BadA adheres to fibronectin in a cumulative fashion with quick saturation via unpaired β-strands appearing in structural motifs present in BadA neck/stalk domains 19, 27, and other homologous domains. Furthermore, antibodies targeting a 15-mer amino acid sequence in the DALL motif of BadA neck/stalk domain 27 were able to reduce fibronectin binding of the B. henselae mutant strain S27. Moreover, this DALL motif sequence is conserved in the genome of all analysed B. henselae strains. The identification of common binding motifs between BadA and fibronectin supports the development of new anti-adhesive compounds that might inhibit the initial adherence of B. henselae and other TAA-producing pathogens during infection.
Slack (sequence like a Ca2+ -activated K + channel; also termed Slo2.2, Kcnt1, or KNa 1.1) is a Na+ -activated K + channel that is highly expressed in the peripheral and central nervous system. Previous studies have shown that Slack is enriched in the isolectin B4binding, non-peptidergic subpopulation of C-fiber sensory neurons and that Slack controls the sensory input in neuropathic pain. Recent single-cell RNA-sequencing studies suggested that Slack is highly co-expressed with transient receptor potential (TRP) ankyrin 1 (TRPA1) in sensory neurons. By using in situ hybridization and immunostaining we confirmed that Slack is highly co-localized with TRPA1 in sensory neurons, but only to a minor extent with TRP vanilloid 1. Mice lacking Slack globally or conditionally in sensory neurons (SNS-Slack─/─ ), but not mice lacking Slack conditionally in neurons of the spinal dorsal horn (Lbx1-Slack─/─ ), displayed increased pain behavior after intraplantar injection of the TRPA1 activator allyl isothiocyanate. Patch-clamp recordings with cultured primary neurons and in a HEK-293 cell line transfected with TRPA1 and Slack revealed that Slack-dependent K + currents are modulated in a TRPA1-dependent manner. Taken together, these findings highlight Slack as a modulator of TRPA1-mediated activation of sensory neurons.
Furthermore, we investigated the contribution of Slack in the spinal dorsal horn to pain processing. Lbx1-Slack ─/─ mice demonstrated normal basal pain sensitivity and Complete Freund’s Adjuvant-induced inflammatory pain. Interestingly, we observed a significantly increased spared nerve injury (SNI)-induced neuropathic pain hypersensitivity in Lbx1-Slack ─/─ mutants compared to control littermates. Moreover, we tested the effects of pharmacological Slack activation in the SNI model. Systemic and intrathecal, but not intraplantar administration of the Slack opener loxapine significantly alleviated SNI-induced hypersensitivity in control mice, but only slightly in Lbx1Slack ─/─ mice, further supporting the inhibitory function of Slack in spinal dorsal horn neurons in neuropathic pain processing.
Altogether, our data suggest that Slack in sensory neurons controls TRPA1-induced pain, whereas Slack in spinal dorsal horn neurons inhibits peripheral nerve injury induced neuropathic pain. These data provide further insights into the molecular mechanisms of pain sensation.
Background and Aim: Genome-wide association studies revealed a strong association between cardiovascular diseases (CVD) and clonal hematopoiesis of indeterminate potential (CHIP), highlighting one of its most common CHIP-driving mutations-TET2 (ten-eleven translocation 2), as a target for CHIP related CVD research. Our lab has established the generation of self-organizing cardiac organoids (SCO), which demonstrate the cellular composition and organization of the native human heart, and mimics human myocardial responses to stress stimulation. This project aims to examine whether SCOs would be an appropriate CHIP model and decipher promising drugs for cardiovascular CHIP treatment.
Methods: To study TET2-mutant cardiovascular CHIP, we set up the TET2 cardiac-CHIP model through a knockdown (KD) of TET2 in myeloid cells that infiltrated our lab-made SCO. Immunofluorescence and qPCR were performed to ascertain TET2-KD myeloid cell infiltration, SCO fibrosis, and apoptosis assessments. SCO fibrosis was further analyzed by immunofluorescence staining, and cardiac contractile frequency and amplitude were determined by calcium flux analysis. Finally, RNAseq was performed to analyze transcriptomic changes in drug/vehicle-treated TET2-KD myeloid cells and the TET2 cardiac-CHIP model.
Results: The TET2 cardiac-CHIP model resulted in significantly increased inflammation in SCO, accompanied by fibrosis and more cleaved Caspase-3, causing cardiomyocytes apoptosis and promoting the release of cTNT. The shortlisted drugs revealed a reduction of proliferation in TET2-KD myeloid cells, decreased pro-inflammatory cytokines, and a higher apoptosis level. Furthermore, the TET2 cardiac-CHIP model treated with selected drugs showed a remarkable decline in TET2-KD myeloid cell infiltration and pro-inflammation cytokines, cardiomyocyte apoptosis, fibrosis, and lowered cTNT levels, while drug control groups were not affected. Moreover, the drug treatment groups improved the heartbeat frequency and amplitude accessed by the calcium transient assay. RNAseq data also validated the above findings.
Conclusions & Discussion: Our results indicate that SCOs are an efficient pre-clinical model for studying and validating CHIP genes and drug interactions. Our data revealed that TET2-KD myeloid cells invade SCO and secrete pro-inflammatory cytokines, which promote apoptosis of cardiomyocytes and the release of cTNT. In this regard, our TET2 cardiac-CHIP model matches the inflammatory phenotype previously characterized in CHIP patients. Nevertheless, this phenotype could be rescued using positive drug candidates (Clopidogrel, R406, and Lanatoside C) selected by this project, emphasizing the significant value of our TET2 cardiac-CHIP model for drug screens and pre-clinical validation studies. Furthermore, among these three drug candidates, we found Lancatoside C, as proved by FDA/EMA, showed an unmet possibility for clinical therapeutic demand, insinuating potential benefit in repurposing Lanatoside C for the treatment of TET2-mutant cardiovascular CHIP.
Standard cancer therapy research targets tumor cells while not considering the damage on the tumor microenvironment (TME) and its associated implications in impairing therapy response. Employing patients-derived organoids (PDOs) and matched stroma cells or a novel murine preclinical rectal cancer model of local radiotherapy, it was demonstrated that tumor cells-derived IL-1α polarizes cancer-associated fibroblasts towards an inflammatory (iCAFs) phenotype. While numerous studies in different tumor entities highlighted the molecular heterogeneity of CAFs, so far there are no clear findings on their functional heterogeneity and relevance in therapy resistance and response. The present study molecularly characterized iCAFs subpopulation among RCA patients as well as the preclinical mouse model and importantly unraveled the detailed molecular mechanism underlying their contribution to impair therapy response. Mechanistically, iCAFs were demonstrated to be characterized by an upregulation of nitric oxide synthase (iNOS) which triggered accumulation of reactive nitrogen species (RNS) and subsequently an oxidative DNA damage response (DDR). Such a baseline IL-1α-driven DNA damage further sensitized iCAFs to a p53-mediated therapy induced senescence (TIS) causing extensive extracellular matrix (ECM) changes and induction of senescence associated secretory phenotype (SASP) that favored tumor progression and hindered tumor cell death. Moreover, iCAFs reversibility and repolarization into more quiescent like phenotype was demonstrated upon IL-1 signaling inhibition by anakinra, a recombinant IL-1 receptor antagonist (IL1RA). Accordingly, treating mice with anakinra or specific deletion of Il1r1 in CAFs sensitized stroma-rich resistant tumors to chemoradiotherapy (CRT). Similarly, targeting CAFs senescence by senotherapy (venetoclax chemical) or employing Trp53 deficient mice reverted therapy resistance among non-responsive tumors in vivo by reducing ECM deposition and consequently favoring CD8+ T cells intratumoral infiltration posttherapy. Importantly, rectal cancer patients that do not completely respond to neoadjuvant therapy displayed an iCAFs senescence program post-CRT. Moreover, these patients presented a baseline increased CAFs content, a dominant iCAFs signature that correlated with poorer disease-free survival (DFS) and a significantly reduced circulating IL1RA serum levels. While reduced pretherapeutic IL1RN gene expression predicted poor prognosis among RCA patients, IL1RA serum levels were associated with rs4251961 (T/C) single nucleotide polymorphism (SNP) in the IL1RN gene. Finally, functional validation assays revealed that conditioned media of PDOs drove inflammatory polarization of fibroblasts and consequently rendered them sensitive to RNS-mediated DNA damage and TIS. Collectively, the study highlighted a crucial and novel role of a CAFs subset, iCAFs, in therapy resistance among RCA patients, shedding light on their functional relevance by identifying IL-1 signaling as an appealing target for their repolarization and successful targeting. Therefore, it makes sense to combine the newly demonstrated and thoroughly proven therapeutic approach of targeting IL-1 signaling in combination with conventional CRT and possibly immunotherapy. This might have a major impact on RCA therapy and be of immense relevance for other stroma-rich tumors.