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- Abteilung für Funktionswerkstoffe der Medizin und der Zahnheilkunde (6)
Sonstige beteiligte Institutionen
- Fraunhofer-Institut für Silicatforschung ISC (2)
- Helmholtz Institute for RNA-based Infection Research (HIRI) (2)
- Department of Cellular Therapies, University of Navarra, Pamplona, Spain (1)
- Department of X-ray Microscopy, University of Würzburg, Würzburg, Germany (1)
- EMBL Heidelberg (1)
- Institut Ruđer Bošković, Zagreb, Croatia (1)
- Institut für Tierökologie und Tropenbiologie (1)
- Interdisziplinäre Zentrum für Klinische Forschung (IZKF) (1)
- Klinik und Poliklinik für Anästhesiologie, Intensivmedizin, Notfallmedizin und Schmerztherapie des Universitätsklinikums Würzburg (1)
- Lehrstuhl für Fernerkundung der Uni Würzburg, in Kooperation mit dem Deutschen Fernerkundungsdatenzentrum (DFD) des Deutschen Zentrums für Luft- und Raumfahrt (DLR) (1)
EU-Projektnummer / Contract (GA) number
- 320377 (1)
The interaction between circadian clocks and metabolism is of increasing interest, since clock dysfunction often correlates with metabolic pathologies. Many research articles have been published analysing the impact of factors such as circadian clock, light, feeding time and diet-type on energy homeostasis in various tissues/organs of organisms with most of the findings done in mammals. Little is known about the impact of circadian clock and the above-mentioned factors on circulating lipids, especially the transport form of lipids - diacylglycerol (DG) and membrane lipids such as phosphatidylethanolamine (PE) and phosphatidylcholine (PC) in the Drosophila hemolymph. The fruit fly Drosophila is a prime model organism in circadian, behaviour and metabolism research.
To study the role of circadian clock and behaviour in metabolism, we performed an extensive comparative hemolymph lipid (diacylglycerol: DG, phosphatidylethanolamine: PE, phosphatidylcholine: PC) analysis using ultra performance liquid chromatography coupled to time-of-flight mass spectrometry (UPLC-MS) between wild-type flies (WTCS) and clock disrupted mutants (per01). In addition, clock controlled food intake– feeding behaviour was investigated. Time-dependent variation of transport (DG) and membrane lipids (PE and PC) were not rhythmic in WTCS under constant darkness and in per01 under LD, suggesting an impact of light and clock genes on daily lipid oscillations. Day-time and night-time restriction of food led to comparable lipid profiles, suggesting that lipid oscillations are not exclusively entrained by feeding but rather are endogenously regulated. Ultradian oscillations in lipid levels in WTCS under LD were masked by digested fatty acids since lipid levels peaked more robustly at the beginning and end of light phase when flies were fed a lipid- and protein-free diet. These results suggest that metabolite (DG, PE and PC) oscillation is influenced by complex interactions between nutrient-type, photic conditions, circadian clock and feeding time.
In conclusion, the results of this thesis suggest that circadian clocks determine transport and membrane lipid oscillation in Drosophila hemolymph in complex interactions between nutrient-type, photic conditions and feeding behaviour.
Understanding the causal relationship between genotype and phenotype is a major objective in biology. The main interest is in understanding trait architecture and identifying loci contributing to the respective traits. Genome-wide association mapping (GWAS) is one tool to elucidate these relationships and has been successfully used in many different species. However, most studies concentrate on marginal marker effects and ignore epistatic and gene-environment interactions. These interactions are problematic to account for, but are likely to make major contributions to many phenotypes that are not regulated by independent genetic effects, but by more sophisticated gene-regulatory networks. Further complication arises from the fact that these networks vary in different natural accessions. However, understanding the differences of gene regulatory networks and gene-gene interactions is crucial to conceive trait architecture and predict phenotypes.
The basic subject of this study – using data from the Arabidopsis 1001 Genomes Project – is the analysis of pre-mature stop codons. These have been incurred in nearly one-third of the ~ 30k genes. A gene-gene interaction network of the co-occurrence of stop codons has been built and the over and under representation of different pairs has been statistically analyzed. To further classify the significant over and under- represented gene-gene interactions in terms of molecular function of the encoded proteins, gene ontology terms (GO-SLIM) have been applied. Furthermore, co- expression analysis specifies gene clusters that co-occur over different genetic and phenotypic backgrounds. To link these patterns to evolutionary constrains, spatial location of the respective alleles have been analyzed as well. The latter shows clear patterns for certain gene pairs that indicate differential selection.
The Amduat is one of the most important Netherworld Books which was recorded in various kinds of Ancient Egyptian sources since the beginning of the 18th dynasty, especially the walls of the royal tombs. The main theme of the Amduat is the journey of the sun god through the underworld where the solar bark and its crew is the central scene of the journey. The study focuses on finding the reasons of choosing the crew’s members who manage the sun bark’s journey in the Amduat. It also aims at illustrating the functions and responsibilities of each crew member. Following a historical approach, the study analyzes the Pyramid Texts and Coffin Texts as the most important documents before the New Kingdom, and proceeding to the inscriptions and writings of the monuments which contain portrayals and inscriptions of the Amduat in the New Kingdom. Furthermore, it sheds some light on the solar cycle’s main features and primary aspects, and tries to scrutinize the date, meaning, and symbolisms of the Amduat and its indications in the earlier sources.
Protein-DNA interactions are central to many biological processes and form the bedrock of gene transcription, DNA replication, and DNA repair processes. Many proteins recognize specific sequences in DNA- a restriction enzyme must only cut at the correct sequence and a transcription factor should bind at its consensus sequence. Some proteins are designed to bind to specific structural or chemical features in DNA, such as DNA repair proteins and some DNA modifying enzymes. Target-specific DNA binding proteins initially bind to non-specific DNA and then search for their target sites through different types of diffusion mechanisms. Atomic force microscopy (AFM) is a single-molecule technique that is specifically well-suited to resolve the distinct states of target-specific as well as nonspecific protein-DNA interactions that are vital for a deeper insight into the target site search mechanisms of these enzymes. In this thesis, protein systems involved in epigenetic regulation, base excision repair (BER), and transcription are investigated by single-molecule AFM analyses complemented by biochemical and biophysical experiments.
The first chapter of this thesis narrates the establishment of a novel, user-unbiased MatLab-based tool for automated DNA bend angle measurements on AFM data. This tool has then been employed to study the initial lesion detection step of several DNA glycosylases. These results promoted a model describing the altered plasticities of DNA at the target lesions of DNA glycosylases as the fundamental mechanism for their enhanced efficiency of lesion detection.
In the second chapter of this thesis, the novel automated tool has been further extended to provide protein binding positions on the DNA along with corresponding DNA bend angles and applied to the study of DNMT3A DNA methyltransferase. These AFM studies revealed preferential co-methylation at specific, defined distances between two CpG sites by the enzyme and when combined with biochemical analyses and structural modelling supported novel modes of CpG co-methylation by DNMT3A.
In the third chapter of this thesis, the role of 8-oxo-guanine glycosylase (hOGG1) in Myc-mediated transcription initiation has been investigated. AFM analyses revealed that in the presence of oxidative damage in DNA, Myc is recruited to its target site (E-box) by hOGG1 through direct protein-protein interactions, specifically under oxidizing conditions. Intriguingly, oxidation of hOGG1 was further observed to result in dimerization of hOGG1, which may also play a role in the mechanism of transcription regulation by hOGG1 under oxidative stress.
Impacts of climate variability and change on Maize (\(Zea\) \(mays\)) production in tropical Africa
(2022)
Climate change is undeniable and constitutes one of the major threats of the 21st century. It impacts sectors of our society, usually negatively, and is likely to worsen towards the middle and end of the century. The agricultural sector is of particular concern, for it is the primary source of food and is strongly dependent on the weather. Considerable attention has been given to the impact of climate change on African agriculture because of the continent’s high vulnerability, which is mainly due to its low adaptation capac- ity. Several studies have been implemented to evaluate the impact of climate change on this continent. The results are sometimes controversial since the studies are based on different approaches, climate models and crop yield datasets. This study attempts to contribute substantially to this large topic by suggesting specific types of climate pre- dictors. The study focuses on tropical Africa and its maize yield. Maize is considered to be the most important crop in this region. To estimate the effect of climate change on maize yield, the study began by developing a robust cross-validated multiple linear regression model, which related climate predictors and maize yield. This statistical trans- fer function is reputed to be less prone to overfitting and multicollinearity problems. It is capable of selecting robust predictors, which have a physical meaning. Therefore, the study combined: large-scale predictors, which were derived from the principal component analysis of the monthly precipitation and temperature; traditional local-scale predictors, mainly, the mean precipitation, mean temperature, maximum temperature and minimum temperature; and the Water Requirement Satisfaction Index (WRSI), derived from the specific crop (maize) water balance model. The projected maize-yield change is forced by a regional climate model (RCM) REMO under two emission scenarios: high emission scenario (RCP8.5) and mid-range emission scenario (RCP4.5). The different effects of these groups of predictors in projecting the future maize-yield changes were also assessed. Furthermore, the study analysed the impact of climate change on the global WRSI. The results indicate that almost 27 % of the interannual variability of maize production of the entire region is explained by climate variables. The influence of climate predictors on maize-yield production is more pronounced in West Africa, reaching 55 % in some areas. The model projection indicates that the maize yield in the entire region is expected to decrease by the middle of the century under an RCP8.5 emission scenario, and from the middle of the century to the end of the century, the production will slightly recover but will remain negative (around -10 %). However, in some regions of East Africa, a slight increase in maize yield is expected. The maize-yield projection under RCP4.5 remains relatively unchanged compared to the baseline period (1982-2016). The results further indicate that large-scale predictors are the most critical drivers of the global year-to-year maize-yield variability, and ENSO – which is highly correlated with the most important predictor (PC2) – seems to be the physical process underlying this variability. The effects of local predictors are more pronounced in the eastern parts of the region. The impact of the future climate change on WRSI reveals that the availability of maize water is expected to decrease everywhere, except in some parts of eastern Africa.
We present a technique for computing multi-branch-point covers with prescribed ramification and demonstrate the applicability of our method in relatively large degrees by computing several families of polynomials with symplectic and linear Galois groups.
As a first application, we present polynomials over \(\mathbb{Q}(\alpha,t)\) for the primitive rank-3 groups \(PSp_4(3)\) and \(PSp_4(3).C_2\) of degree 27 and for the 2-transitive group \(PSp_6(2)\) in its actions on 28 and 36 points, respectively. Moreover, the degree-28 polynomial for \(PSp_6(2)\) admits infinitely many totally real specializations.
Next, we present the first (to the best of our knowledge) explicit polynomials for the 2-transitive linear groups \(PSL_4(3)\) and \(PGL_4(3)\) of degree 40, and the imprimitive group \(Aut(PGL_4(3))\) of degree 80.
Additionally, we negatively answer a question by König whether there exists a degree-63 rational function with rational coefficients and monodromy group \(PSL_6(2)\) ramified over at least four points. This is achieved due to the explicit computation of the corresponding hyperelliptic genus-3 Hurwitz curve parameterizing this family, followed by a search for rational points on it. As a byproduct of our calculations we obtain the first explicit \(Aut(PSL_6(2))\)-realizations over \(\mathbb{Q}(t)\).
At last, we present a technique by Elkies for bounding the transitivity degree of Galois groups. This provides an alternative way to verify the Galois groups from the previous chapters and also yields a proof that the monodromy group of a degree-276 cover computed by Monien is isomorphic to the sporadic 2-transitive Conway group \(Co_3\).
In the heart the β\(_1\)-adrenergic receptor (AR) and the β\(_2\)-AR, two prototypical G protein-coupled receptors (GPCRs), are both activated by the same hormones, namely adrenaline and noradrenaline. Both receptors couple to stimulatory G\(_s\) proteins, mediate an increase in cyclic adenosine monophosphate (cAMP) and influence the contractility and frequency of the heart upon stimulation. However, activation of the β\(_1\)-AR, not the β\(_2\)-AR, lead to other additional effects, such as changes in gene transcription resulting in cardiac hypertrophy, leading to speculations on how distinct effects can arise from receptors coupled to the same downstream signaling pathway.
In this thesis the question of whether this distinct behavior may originate from a differential localization of these two receptors in adult cardiomyocytes is addressed. Therefore, fluorescence spectroscopy tools are developed and implemented in order to elucidate the presence and dynamics of these endogenous receptors at the outer plasma membrane as well as on the T-tubular network of intact adult cardiomyocytes. This allows the visualization of confined localization and diffusion of the β\(_2\)-AR to the T-tubular network at endogenous expression. In contrast, the β\(_1\)-AR is found diffusing at both the outer plasma membrane and the T-tubules. Upon overexpression of the β\(_2\)-AR in adult transgenic cardiomyocytes, the receptors experience a loss of this compartmentalization and are also found at the cell surface. These data suggest that distinct signaling and functional effects can be controlled by specific cell surface targeting of the receptor subtypes.
The tools at the basis of this thesis work are a fluorescent adrenergic antagonist in combination of fluorescence fluctuation spectroscopy to monitor the localization and dynamics of the lowly expressed adrenergic receptors. Along the way to optimizing these approaches, I worked on combining widefield and confocal imaging in one setup, as well as implementing a stable autofocus mechanism using electrically tunable lenses.
Spectroscopic methods were established decades ago in a wide variety of fields. This also applies to the pharmaceutical field, although they initially were mostly used for identity testing or structure elucidation only. Technical developments, such as miniaturization (NMR benchtop devices), Fourier transformations (for NMR, MIR spectroscopy) or the combination with chemometric evaluation (e.g., in Process Analytical Technology, PAT), have further increased their importance and opened up new applications. The aim of this work was to investigate further new approaches and to find new applications for already established methods and to show their benefits.
By means of MIR, NIR and NMR data and their chemometric evaluation (principal component analysis, PCA; hierarchical cluster analysis, HCA; linear discriminant analysis, LDA), possibilities were presented to successfully determine the manufacturer or the pharmaceutical company of various paracetamol preparations. In the course of this, various similarities and correlations between the preparations of individual companies could also be identified. For this purpose, a suitable sample preparation was developed for each spectroscopic method, and suitable measurement parameters in order to obtain reproducible spectra for the chemometric evaluation were determined. Furthermore, the results of the two unsupervised methods (HCA, PCA) were compared with each other. The HCA was able to confirm those of the PCA for the very most part. Additionally, through these methods it was possible to characterize many of the preparations based on clusters formed by comparable tablet compositions.
In order to be able to measure unmortared, whole tablets using the NIR spectrometer, an attachment was developed and manufactured using 3D printing. Its functionality was demonstrated by measuring and analyzing the tablets of two different batches of nine paracetamol preparations. The batches were clearly distinguished on the basis of a PCA and a significant difference was also demonstrated by means of statistical tests.
For NMR spectroscopy, a method was developed to obtain optimized "fingerprint" spectra of drug formulations. For this purpose, a 1D DOSY measurement was elaborated, in which the signals of the active ingredient could be filtered out by the appropriate choice of measurement parameters. The chemometric evaluation can thus focus on the remaining signals of the excipients, on the basis of which the preparations of the same API can be distinguished. Especially in the case of formulations that consist largely of active ingredient, data pre processing of the spectra can thus be simplified and greater importance can be assigned to the originally very small excipient signals.
A quantitative 1H NMR method was developed for the comparison of a high field spectrometer (400 MHz) with a benchtop spectrometer (80 MHz) for two finished drugs. It was shown that it is possible to obtain comparable results with both instruments, but that the influence of the excipients on the signals and the lower resolution of the benchtop instrument must be taken into account. Therefore, it was not possible to obtain comparable results without further optimization of the method for one of the active ingredients.
In the investigation of various reactions between APIs and excipients using DOSY, its usefulness as a screening method in stability testing was demonstrated. For this purpose, three different APIs and excipients were stressed together and the reaction mixtures were subsequently measured using DOSY. Based on the translational diffusion coefficient, the reaction products could be identified and distinguished from the active ingredients and the excipients used. The importance of thoughtful processing could also be demonstrated. If all peak heights are selected when evaluating signals split by direct spin spin coupling, this allows the detection of hidden signals as long as not all signals have the same diffusion coefficient. The selective selection of individual peak heights in the case of split signals also enables the evaluation of signals that overlap slightly. However, the limitations of this method were also shown when two signals overlap too much and differ too little in their diffusion coefficients.
Hence, it has been successfully demonstrated in the various projects that the new chemometric approaches, as well as the new applications of already established methods, enable in depth findings and thus have a clear added value.
This dissertation describes the synthesis of an unsymmetrically-substituted triarylborane. This term describes a three-coordinate boron atom that is bound to three different aromatic systems, namely 2,6-dimethylphenyl, mesityl, and 4-(N,N-dimethylamino)-2,6-dimethylphenyl. It is also demonstrated that the amine functionality can be converted with methyl triflate into an ammonium moiety. The investigation of photophysical and electrochemical properties of this compound in comparison with the non-aminated and di-aminated analogues of the triarylborane is described besides other investigations of e. g. singlet oxygen sensitization, rotational barriers, and fundamental DFT calculations. Based on these investigations, selectively mono-, bis- and tris-dimethylamino- and trimethylammonium-substituted bis-triarylborane bithiophene chromophores were synthesized and their photophysical, and electrochemical properties were investigated together with the water solubility and singlet oxygen sensitizing efficiency of the cationic compounds Cat1+, Cat2+, Cat(i)2+, and Cat3+. Comparing these properties with the results obtained for the mono-triarylboranes reveals a large influence of the bridging unit on the investigated properties of the bis-triarylboranes. In addition, the interaction of the cationic bis-triarylboranes with different polynucleotides were investigated in buffered solutions as well as the ability of these selectively charged compounds to enter and localize within organelles of human lung carcinoma and normal lung cells. All these investigations demonstrate that the number of charges and their distribution influences the interactions and staining properties as well as most of the other properties investigated.
In addition, preliminary investigations on H2O2-cleavable boronate esters in the presence of stochiometric amounts of H2O2 are described for three different aryl boronate esters.
For the past 20 years, chronic kidney disease (CKD) has remained one of the major causes of death worldwide. Cardiovascular events account for approximately 50% of deaths in CKD patients, underscoring the clinical relevance of the observed cardiac changes. These changes define uremic cardiomyopathy (UCM) and include left-ventricular hypertrophy (LVH), LV dilatation, and LV systolic and diastolic dysfunction. LVH is seen as the primary manifestation of UCM and is caused by a multitude of different systems including in-creased pre- and afterload and the renin-angiotensin system (RAS). More recent studies found that myocardial dysfunction is apparent before changes in the ventricular geome-try, like hypertrophy, occur to the uremic heart. This leads to the conclusion that LVH is not the cause of cardiac dysfunction, but one of the alterations caused by factors related to the uremic state itself. Among these factors that are independent of pressure and vol-ume overload, are cardiotonic steroids as well as the parathyroid hormone and the endo-thelin (ET-1) system. But we suggest a different substance to play an important role in UCM: Urea. Patients in end-stage renal disease (ESRD) display increased oxidative stress and urea has been found to increase levels of oxidative stress, at least in endothelial cells. Therefore, we investigated the effect that elevated urea levels, as seen in patients undergoing dialysis, have on cardiomyocytes. As the oxidative stress in a cell is regulated by mitochondrial processes, we suspected the mitochondrial orchestrator PGC-1α to play an important role.
The uremic heart is in a state of elevated oxidative stress. This has been presented by multiple authors before. By conducting immunofluorescent staining for reactive oxygen species (ROS), we tried to replicate their findings and illustrate elevated levels of ROS. As the fluorescence analysis did not bear significant results, we approached oxidative stress from a different angle: Via mass spectrometry, we looked at the amino acids methionine, cysteine and betaine which are highly involved in sustaining the oxidative balance in the cell. Our findings in the media of urea-treated HL-1 cells lead us to the conclusion, that these cardiomyocytes were in a state of low antioxidative resources.
Next, to find the intracellular mechanisms that connect uremia to oxidative stress and compromised energetics, we investigated possible downstream effectors of uremia. The urea-treated cardiomyocytes exhibited significant alterations regarding upstream effec-tors of PGC-1α: The protein kinases Akt and Erk were expressed and phosphorylated dif-ferently in a western blot analysis of uremic h9c2 cells and in mice with induced kidney failure. To combine these findings regarding the protein kinases Akt and Erk and oxidative stress, the Erk/p38 pathways seems conclusive (figure 20). This pathway links uremia and oxidative stress to intracellular effectors that have been found to influence the develop-ment of uremic cardiomyopathy.
Another life-threatening alteration in uremic cardiomyopathy is a corrupted cardiac func-tion. The myocardium of uremic patients has shown to be more susceptible to ischemic damage and most patients receiving dialysis experience repeated episodes of intradialytic impairments in cardiac function. The urea-treated cardiomyocytes had a significantly higher oxygen consumption rate due to an inefficiently increased metabolism, most likely caused by an increased level of uncoupling.
Taken together, the results of this study indicate that urea by itself plays a role in the de-velopment of uremic cardiomyopathy. So-called high-physiologic levels of urea have led to a mitochondrial inefficiency and an increase of oxidative stress in cardiomyocytes. The protein kinases Akt and Erk may work as effectors of urea to induce these changes via the Erk/p38 pathway. It seems very likely that the mitochondrial changes are mediated by the mitochondrial orchestrator PGC-1α. These observations might lead to further studies in-vestigating urea levels in dialysis patients. In the future, these might lead to a change of practice regarding tolerated urea levels in dialysis and help reduce the cardiac mortality of patients with chronic kidney disease.