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DD is a cardiac disturbance, which has gained increasing importance in recent years due to its important role in different cardiac disease and cardiomyopathies including ischemic cardiomyopathy, arterial hypertension and diabetic cardiomyopathy.
ECG-gated 18F-FDG PET is an imaging technique, that can distinguish between districts of myocardial viability and myocardial scars and further provides information of great interest on the efficacy of experimental approaches designed to improve the cardiac function and/or myocardial metabolism in experimental small animal models. However, ECG-gated 18F-FDG PET is a technique whose feasibility in the assessment of the LV diastolic function in small animals has not been a subject of study.
In this thesis, the ability of the ECG-gated 18F-FDG PET for the assessment of both the systolic and diastolic function in eight control rats and in seven ZDF rats, which are an experimental animal model mimicking T2DM conditions and diabetic related complications in humans including DCM, has been investigated The ECG-gated 18F-FDG PET imaging was performed under hyperinsulinemic-euglycemic clamping and the data were stored in list mode files and retrospectively reconstructed. The systolic and diastolic parameters were achieved from the time/volume and the time/filling curve calculated from the software HFV. Additionally, the influence of the number of gates per cardiac cycle on the LV volumes and function parameters has been studied.
Hyperinsulinemic-euglycemic clamp procedure and blood glucose measurement did confirm the development of a manifest diabetes in the ZDF rats at the timepoint of the experiments.
Regarding the systolic parameters, no significant difference could be detected between the ZDF and ZL rats. The values for the CO were similar in both groups, which demonstrates a similar LV systolic function in the ZDF and the ZL rats at the age of 13 weeks. Values for the systolic parameters are in good line with previous PET, MRI and cardiac catheterization-based studies in diabetic rats.
The main finding of this study was that by using in vivo ECG-gated 18F-FDG PET and the software HFV, reliable diastolic parameters could be calculated. Moreover, it was possible to detect the presence of a mild impaired diastolic filling in the ZDF rats in absence of any systolic alteration. This impaired diastolic function in an early stage of diabetes could also be detected by other investigators, who used echocardiography or cardiac catheterization. Therefore, this is the first study showing, that the assessment of the diastolic function in rats can be carried out by ECG-gated 18F-FDG PET imaging.
In conclusion, additionally to calculating LV volumes and LV EF, ECG-gated 18F-FDG PET can evaluate the diastolic function of healthy and diabetic rats and is able to detect a DD in ZDF rats.
RNA molecules play diverse roles in biological systems. Post-transcriptional RNA modifications and dynamic structures enhance the functional diversity of RNA. A prerequisite for studying their biological significance is the availability of reliable methods for the detection of RNA modifications and structures. Several promising approaches have been developed in the last few decades; however, efficient, and versatile tools are still required to study the dynamic features of RNA. This thesis focuses on the development of nucleic acid catalysts as a tool to address the current needs in studying RNA. The major part of this thesis aimed at the development of deoxyribozymes as a tool for the detection of RNA modifications. Using in vitro selection from a random DNA library, we found deoxyribozymes that are sensitive to N 6 -isopentenyladenosine (i6A), a native tRNA modification and structural analogue of m6A. The in vitro evolution identified three classes of DNA enzymes: AA, AB08, and AC17 DNAzymes that showed distinct response to i6A modification and showed strong discrimination between structural analogues, i.e., m6A and i6A. In the continuation of the project, we attempted to develop RNA-cleaving deoxyribozymes that differentially respond to monomethylated cytidine isomers, 3-methylcytidine (m3C), N4 - methylcytidine (m4C), and 5-methylcytidine (m5C). Several deoxyribozymes were identified from in vitro selection, which are selective for a specific methylated cytidine isomer. The characterization of AL112, AM101, AN05, and AK104 catalysts confirmed the successful evolution of modification-specific and general deoxyribozymes that showed a broad substrate scope. In order to accelerate the DNAzymes discovery, a high throughput sequencing method (DZ-seq) was established that directly quantifies the RNA cleavage activity and cleavage site from deep sequencing data. The libraries contained information about cleavage status, cleavage site and sequence of deoxyribozymes and RNA substrate. The fraction cleaved (FC) data obtained from Dz-seq was validated for a subset of deoxyribozmes using conventional gel based kinetic assay and showed a good linear correlation (R2 = 0.91). Dz-seq possesses a great potential for the discovery of novel deoxyribozymes for the analysis of various RNA modifications in the future. The second objective of the current study was the development of structure-specific RNA labeling ribozymes. Here, we attempted to develop ribozymes that targets RNA of interest by structure-specific interaction rather than base-pairing and focused on a specific RNA G-quadruplex as the target. Two subsequent selection experiments led to the identification of the adenylyltransferase ribozymes AO10.2 and AR9. The partial characterization of these catalysts showed that A010.2 was unable to recognize intact BCL2 structure, but it turned out as the first reported trans-active ribozyme that efficiently labeled uridine in a defined substrate RNA hybridized to the ribozyme. The other ribozyme AR9 was shown to serve as a trans-active, self-labeling ribozyme that catalyzed adenylyl transferase reaction in the presence of the intact BCL2 sequence. Based on these preliminary findings, we envision that AR9 could potentially serve as a reporter RNA by self-labeling in the presence of an RNA G-quadruplex. However, both AO10.2 and AR9 still require more detailed characterization for their potential applications.
Cognition refers to the ability to of animals to acquire, process, store and use vital information from the environment. Cognitive processes are necessary to predict the future and reduce the uncertainty of the ever-changing environment. Classically, research on animal cognition focuses on decisive cognitive tests to determine the capacity of a species by the testing the ability of a few individuals. This approach views variability between these tested key individuals as unwanted noise and is thus often neglected. However, inter-individual variability provides important insights to behavioral plasticity, cognitive specialization and brain modularity. Honey bees Apis mellifera are a robust and traditional model for the study of learning, memory and cognition due to their impressive capabilities and rich behavioral repertoire. In this thesis I have applied a novel view on the learning abilities of honey bees by looking explicitly at individual differences in a variety of learning tasks. Are some individual bees consistently smarter than some of her sisters? If so, will a smart individual always perform good independent of the time, the context and the cognitive requirements or do bees show distinct isolated ‘cognitive modules’?
My thesis presents the first comprehensive investigation of consistent individual differences in the cognitive abilities of honey bees. To speak of an individual as behaving consistently, a crucial step is to test the individual multiple times to examine the repeatability of a behavior. I show that free-flying bees remain consistent in a visual discrimination task for three consecutive days. Successively, I explored individual consistency in cognitive proficiency across tasks involving different sensory modalities, contexts and cognitive requirements. I found that free-flying bees show a cognitive specialization between visual and olfactory learning but remained consistent across a simple discrimination task and a complex concept learning task. I wished to further explore individual consistency with respect to tasks of different cognitive complexity, a question that has never been tackled before in an insect. I thus performed a series of four experiments using either visual or olfactory stimuli and a different training context (free-flying and restrained) and tested bees in a discrimination task, reversal learning and negative patterning. Intriguingly, across all these experiments I evidenced the same results: The bees’ performances were consistent across the discrimination task and reversal learning and negative patterning respectively. No association was evidenced between reversal learning and negative patterning. After establishing the existence of consistent individual differences in the cognitive proficiency of honey bees I wished to determine factors which could underlie these differences. Since genetic components are known to underlie inter-individual variability in learning abilities, I studied the effects of genetics on consistency in cognitive proficiency by contrasting bees originating from either from a hive with a single patriline (low genetic diversity) or with multiple patrilines (high genetic diversity). These two groups of bees showed differences in the patterns of individually correlated performances, indicating a genetic component accounts for consistent cognitive individuality. Another major factor underlying variability in learning performances is the individual responsiveness to sucrose solution and to visual stimuli, as evidenced by many studies on restrained bees showing a positive correlation between responsiveness to task relevant stimuli and learning performances. I thus tested whether these relationships between sucrose/visual responsiveness and learning performances are applicable for free-flying bees. Free-flying bees were again subjected to reversal learning and negative patterning and subsequently tested in the laboratory for their responsiveness to sucrose and to light. There was no evidence of a positive relationship between sucrose/visual responsiveness and neither performances of free-flying bees in an elemental discrimination, reversal learning and negative patterning. These findings indicate that relationships established between responsiveness to task relevant stimuli and learning proficiency established in the laboratory with restrained bees might not hold true for a completely different behavioral context i.e. for free-flying bees in their natural environment.
These results show that the honey bee is an excellent insect model to study consistency in cognitive proficiency and to identify the underlying factors. I mainly discuss the results with respect to the question of brain modularity in insects and the adaptive significance of individuality in cognitive abilities for honey bee colonies. I also provide a proposition of research questions which tie in this theme of consistent cognitive proficiency and could provide fruitful areas for future research.
The number of fungal infections is rising in Germany and worldwide. These infections are mainly caused by the opportunistic fungal pathogen C. albicans, which especially harms immunocompromised people. With increasing numbers of fungal infections, more frequent and longer lasting treatments are necessary and lead to an increase of drug resistances, for example against the clinically applied therapeutic fluconazole. Drug resistance in C. albicans can be mediated by the Multidrug resistance pump 1 (Mdr1), a membrane transporter belonging to the major facilitator family. However, Mdr1-mediated fluconazole drug resistance is caused by the pump’s regulator, the transcription factor Mrr1 (Multidrug resistance regulator 1). It was shown that Mrr1 is hyperactive without stimulation or further activation in resistant strains which is due to so called gain of function mutations in the MRR1 gene.
To understand the mechanism that lays behind this constitutive activity of Mrr1, the transcription factor should be structurally and functionally (in vitro) characterized which could provide a basis for successful drug development to target Mdr1-mediated drug resistance caused by Mrr1. Therefore, the entire 1108 amino acid protein was successfully expressed in Escherichia coli. However, further purification was compromised as the protein tended to form aggregates, unsuitable for crystallization trials or further characterization experiments. Expression trials in the eukaryote Pichia pastoris neither yielded full length nor truncated Mrr1 protein. In order to overcome the aggregation problem, a shortened variant, missing the N-terminal 249 amino acids named Mrr1 ‘250’, was successfully expressed in E. coli and could be purified without aggregation. Similar to the wild type Mrr1 ‘250’, selected gain of function variants were successfully cloned, expressed and purified with varying yields and with varying purity. The Mrr1 `250’ construct contains most of the described regulatory domains of Mrr1. It was used for crystallization and an initial comparative analysis between the wild type protein and the variants. The proposed dimeric form of the transcription factor, necessary for DNA binding, could be verified for both, the wild type and the mutant proteins. Secondary structure analysis by circular dichroism measurements revealed no significant differences in the overall fold of the wild type and variant proteins. In vitro, the gain of function variants seem to be less stable compared to the wild type protein, as they were more prone to degradation. Whether this observation holds true for the full length protein’s stability in vitro and in vivo remains to be determined. The crystallization experiments, performed with the Mrr1 ‘250’ constructs, led to few small needle shaped or cubic crystals, which did not diffract very well and were hardly reproducible. Therefore no structural information of the transcription factor could be gained so far.
Infections with M. tuberculosis, the causative agent of tuberculosis, are the leading cause of mortality among bacterial diseases. Especially long treatment times, an increasing number of resistant strains and the prevalence of for decades persisting bacteria create the necessity for new drugs against this disease. The cholesterol import and metabolism pathways were discovered as promising new targets and interestingly they seem to play an important role for the chronic stage of the tuberculosis infection and for persisting bacteria.
In this thesis, the 3-ketoacyl-CoA thiolase FadA5 from M. tuberculosis was characterized and the potential for specifically targeting this enzyme was investigated. FadA5 catalyzes the last step of the β-oxidation reaction in the side-chain degradation pathway of cholesterol. We solved the three dimensional structure of this enzyme by X-ray crystallography and obtained two different apo structures and three structures in complex with acetyl-CoA, CoA and a hydrolyzed steroid-CoA, which is the natural product of FadA5. Analysis of the FadA5 apo structures revealed a typical thiolase fold as it is common for biosynthetic and degradative enzymes of this class for one of the structures. The second apo structure showed deviations from the typical thiolase fold. All obtained structures show the enzyme as a dimer, which is consistent with the observed dimer formation in solution. Thus the dimer is likely to be the catalytically active form of the enzyme. Besides the characteristic structural fold, the catalytic triad, comprising two cysteines and one histidine, as well as the typical coenzyme A binding site of enzymes belonging to the thiolase class could be identified. The two obtained apo structures differed significantly from each other. One apo structure is in agreement with the characteristic thiolase fold and the well-known dimer interface could be identified in our structure. The same characteristics were observed in all complex structures. In contrast, the second apo structure followed the thiolase fold only partially. One subdomain, spanning 30 amino acids, was in a different orientation. This reorientation was caused by the formation of two disulfide bonds, including the active site cysteines, which rendered the enzyme inactive. The disulfide bonds together with the resulting domain swap still permitted dimer formation, yet with a significantly shifted dimer interface. The comparison of the apo structures together with the preliminary activity analysis performed by our collaborator suggest, that FadA5 can be inactivated by oxidation and reactivated by reduction. If this redox switch is of biological importance requires further evaluation, however, this would be the first reported example of a bacterial thiolase employing redox regulation.
Our obtained complex structures represent different stages of the thiolase reaction cycle. In some complex structures, FadA5 was found to be acetylated at the catalytic cysteine and it was in complex with acetyl-CoA or CoA. These structures, together with the FadA5 structure in complex with a hydrolyzed steroid-CoA, revealed important insights into enzyme dynamics upon ligand binding and release. The steroid-bound structure is as yet a unique example of a thiolase enzyme interacting with a complex ligand. The characterized enzyme was used as platform for modeling studies and for comparison with human thiolases. These studies permitted initial conclusions regarding the specific targetability of FadA5 as a drug target against M. tuberculosis infection, taking the closely related human enzymes into account. Additional analyses led to the proposal of a specific lead compound based on the steroid and ligand interactions within the active site of FadA5.
Among the defense strategies developed in microbes over millions of years, the innate adaptive CRISPR-Cas immune systems have spread across most of bacteria and archaea. The flexibility, simplicity, and specificity of CRISPR-Cas systems have laid the foundation for CRISPR-based genetic tools. Yet, the efficient administration of CRISPR-based tools demands rational designs to maximize the on-target efficiency and off-target specificity. Specifically, the selection of guide RNAs (gRNAs), which play a crucial role in the target recognition of CRISPR-Cas systems, is non-trivial. Despite the fact that the emerging machine learning techniques provide a solution to aid in gRNA design with prediction algorithms, design rules for many CRISPR-Cas systems are ill-defined, hindering their broader applications.
CRISPR interference (CRISPRi), an alternative gene silencing technique using a catalytically dead Cas protein to interfere with transcription, is a leading technique in bacteria for functional interrogation, pathway manipulation, and genome-wide screens. Although the application is promising, it also is hindered by under-investigated design rules. Therefore, in this work, I develop a state-of-art predictive machine learning model for guide silencing efficiency in bacteria leveraging the advantages of feature engineering, data integration, interpretable AI, and automated machine learning. I first systematically investigate the influential factors that attribute to the extent of depletion in multiple CRISPRi genome-wide essentiality screens in Escherichia coli and demonstrate the surprising dominant contribution of gene-specific effects, such as gene expression level. These observations allowed me to segregate the confounding gene-specific effects using a mixed-effect random forest (MERF) model to provide a better estimate of guide efficiency, together with the improvement led by integrating multiple screens. The MERF model outperformed existing tools in an independent high-throughput saturating screen. I next interpret the predictive model to extract the design rules for robust gene silencing, such as the preference for cytosine and disfavoring for guanine and thymine within and around the protospacer adjacent motif (PAM) sequence. I further incorporated the MERF model in a web-based tool that is freely accessible at www.ciao.helmholtz-hiri.de.
When comparing the MERF model with existing tools, the performance of the alternative gRNA design tool optimized for CRISPRi in eukaryotes when applied to bacteria was far from satisfying, questioning the robustness of prediction algorithms across organisms. In addition, the CRISPR-Cas systems exhibit diverse mechanisms albeit with some similarities. The captured predictive patterns from one dataset thereby are at risk of poor generalization when applied across organisms and CRISPR-Cas techniques. To fill the gap, the machine learning approach I present here for CRISPRi could serve as a blueprint for the effective development of prediction algorithms for specific organisms or CRISPR-Cas systems of interest. The explicit workflow includes three principle steps: 1) accommodating the feature set for the CRISPR-Cas system or technique; 2) optimizing a machine learning model using automated machine learning; 3) explaining the model using interpretable AI. To illustrate the applicability of the workflow and diversity of results when applied across different bacteria and CRISPR-Cas systems, I have applied this workflow to analyze three distinct CRISPR-Cas genome-wide screens. From the CRISPR base editor essentiality screen in E. coli, I have determined the PAM preference and sequence context in the editing window for efficient editing, such as A at the 2nd position of PAM, A/TT/TG downstream of PAM, and TC at the 4th to 5th position of gRNAs. From the CRISPR-Cas13a screen in E. coli, in addition to the strong correlation with the guide depletion, the target expression level is the strongest predictor in the model, supporting it as a main determinant of the activation of Cas13-induced immunity and better characterizing the CRISPR-Cas13 system. From the CRISPR-Cas12a screen in Klebsiella pneumoniae, I have extracted the design rules for robust antimicrobial activity across K. pneumoniae strains and provided a predictive algorithm for gRNA design, facilitating CRISPR-Cas12a as an alternative technique to tackle antibiotic resistance.
Overall, this thesis presents an accurate prediction algorithm for CRISPRi guide efficiency in bacteria, providing insights into the determinants of efficient silencing and guide designs. The systematic exploration has led to a robust machine learning approach for effective model development in other bacteria and CRISPR-Cas systems. Applying the approach in the analysis of independent CRISPR-Cas screens not only sheds light on the design rules but also the mechanisms of the CRISPR-Cas systems. Together, I demonstrate that applied machine learning paves the way to a deeper understanding and a broader application of CRISPR-Cas systems.
Bacteria thrive and survive in many different environments, and as a result, they have developed robust mechanisms to adapt rapidly to alterations in their surroundings. The protection against osmotic forces is provided by mechanosensitive channels: their primary function is to maintain the integrity of the cell upon a hypoosmotic shock. The mechanosensitive channel of small conductance (MscS) is not only the smallest common structural unit of a diverse family that allows for a tailored response in osmoregulation; it is also the most intensively studied homologue. Mechanosensitive channels directly sense elevated membrane tension levels generated by increased pressure within the cell and open transiently. Escherichia coli has six paralogues that differ in their gating properties and the number of additional transmembrane (TM) helices. These TM helices, termed sensor paddles, are essential for sensing, as they directly contact the surrounding membrane; however, the role of the additional TM helices is still unclear. Furthermore, lipids occupy hydrophobic pockets far away from the membrane plane. A recent gating model for MscS states that increased membrane tension triggers the expulsion of lipids out of those pockets, modulating different conformational states of MscS. This model focuses on bound lipids, but it is still unclear to what extent the direct interaction with the membrane influences sensing and how relevant it is for the larger paralogues.
In the herein described work, structural studies on two larger paralogues, the medium-sized channel YnaI and the large channel YbiO were realised using electron cryomicroscopy (cryo-EM). Lipids were identified in YnaI in the pockets in a similar position and orientation as in MscS, suggesting a conserved sensing mechanism. Moreover, the copolymer diisobutylene/maleic acid (DIBMA) allowed the extraction of artificially activated YnaI from plasma membranes, leading to an open-like form of this channel. This novel conformation indicated that the pore helices bend at a GGxGG motif during gating, which is unique among the Escherichia coli paralogues, concomitant with a structural reorganisation of the sensor paddles. Thus, despite a high similarity of their closed states, the gating mechanisms of MscS and YnaI are surprisingly different. Furthermore, the comparison of MscS, YnaI, and YbiO accentuates variations and similarities between the differently sized family members, implying fine-tuning of channel properties in the pore regions and the cytosolic lateral entry sides into the channel. Structural analyses of MscS reconstituted into different systems showed the advantages and disadvantages of certain polymers and detergents. The novel DIBMA copolymer and the more conventional amphiphilic polymers, so-called Amphipols, perturb contacting transmembrane helices or lead to their denaturation. Due to this observation, the obtained structures of YnaI must also be cautiously considered. The structures obtained in detergents resulted in unaffected channels; however, the applicability of detergents for MscS-like channels is limited by the increased required sample concentration.
The role of lipids for gating MscS in the absence of a membrane was examined by deliberately removing coordinated lipid molecules from MscS using different amounts and kinds of detergent. The effects on the channel were inspected by cryo-EM. These experiments showed that closed MscS adopts the open conformation when it is enough delipidated by incubation with the detergent n-dodecyl-β-D-maltoside, and adding lipids to the open channel reverses this process. The results agree with the state-of-the-art model that the amount of lipid molecules in the pockets and grooves is responsible for the conformational state of MscS. Furthermore, incubation with the detergent lauryl maltose neopentyl glycol, which has stabilising and delipidating characteristics, resulted in a high-resolution structure of open MscS exhibiting an intricate network of ligands. Based on this structure, an updated gating model is proposed, which states that upon opening, lipids from the pockets migrate into the cytosolic membrane leaflet, while lipids from the periplasmic leaflet enter the grooves that arise between the sensor paddles.
Dietary fatty acids serve as objective biomarkers for the estimation of habitual diet mainly because biomarkers are free of memory bias or inaccuracies of food databases. The aim of the present work encompassed the implementation of a gas chromatographical method coupled with a mass spectrometrical and flame-ionization detector for analysis of fatty acid biomarkers in human biospecimens, their analytical determination and statistical evaluation in two different study populations and different biospecimens as well as the elaboration of adverse reactions to food ingredients with special focus on food allergies and food intolerances in the context of a possible implementation into an application for consumer health. The first aim was the identification of potential influence of fatty acid biomarkers on desaturase and elongase indexes (Δ9DI, Δ6DI, Δ5DI and ELOVLI5), which are factors in type 2 diabetes risk, in breast adipose tissue from healthy women. Influence of further variables on respective indexes was also investigated. 40 samples were investigated and potential variables were either collected by questionnaire or determined. Principle component analysis was applied for fatty acid biomarkers (PCdiet1, PCdiet2 and PCdiet3 representative for the dietary intake of vegetable oils/nuts, fish and partially hydrogenated vegetable oils), endogenous estrogens (PCE1) and oxysterols (PCOxy1). Multiple linear regression models were applied. Δ9DI and Δ6DI were influenced non-significantly and significantly negatively by PCdiet2 supporting a putative beneficial effect of vegetable oils and nuts on type 2 diabetes risk factors. ELOVLI5 and Δ5DI were influenced significantly and non-significantly positively by PCdiet1 supporting a putative beneficial effect of fish consumption on type 2 diabetes risk factors. On the other hand, PCdiet1 also significantly and non-significantly positively influenced Δ9DI and Δ6DI supporting a putative adverse effect of fish biomarkers on type 2 diabetes risk factors. The opposing influences of PCdiet1 suggesting an ambivalent role of dietary intake of fish on investigated indexes. Δ6DI was significantly positively influenced by PCdiet3 and number of pregnancies supporting a putative adverse effect of partially hydrogenated vegetable oils and pregnancies on type 2 diabetes risk factors. Lifestyle factors like smoking significantly and non-significantly influenced Δ9DI and Δ6DI putatively adversely. Δ5DI was influenced significantly positively by estrogen active drugs suggesting a putative beneficial effect on type 2 diabetes risk factors. It must be considered that a variation coefficient of up to 0.44 only explained 44% of variance of the respective indexes, suggesting other influencing factors might play a role. The second aim was the implementation of a gas chromatographical method coupled with a mass spectrometrical and flame-ionization detector for analysis of fatty acid biomarkers in human biospecimens. The method was optimized for separation and detection of 40 fatty acids. Mean recovery for tridecanoic acid was x(tridecanoic acid) = 90.51% and for nonadecanoic acid x(nonadecanoic acid) = 96.21%. Thus, there was no significant loss of fatty acids with shorter and longer carbon chains over the extraction process to be expected. Limit of detections were calculated in adipose tissue samples and ranged from 0.007 to 0.077% of the proportion of the respective fatty acid to total fatty acids. The third aim was the investigation if differentiation between breast glandular and adipose tissue had a relevant impact on the analysis of dietary fatty acid biomarkers or if contamination of breast glandular with breast adipose tissue and vice versa was neglectable for the analysis of dietary fatty acid biomarkers. No statistical significant differences were observed for all investigated fatty acid biomarkers (pentadecanoic-, heptadecanoic-, trans palmitoleic-, eicosapentaenoic-, docosahexaenoic-, linoleic and α-linolenic acid) between breast glandular and adipose tissue. Thus, differentiation between breast glandular and adipose tissue seems not to be necessary for the analysis of fatty acids serving as biomarkers for the intake of specific food groups. Potential influence of mixed breast tissue on fatty acid biomarkers analysis seems to be neglectable. The fourth aim was the determination of fatty acid biomarkers in adipose tissue in another study population from healthy participants. 27 adipose tissue samples were analyzed. Milk and ruminant fat biomarkers exhibited proportions of 0.47% for pentadecanoic acid, 0.34% for heptadecanoic acid and 0.25% for trans palmitoleic acid. Fish fatty acid biomarkers revealed proportions of 0.034% for eicosapentaenoic acid and 0.061% for docosahexaenoic acid. The mean proportion of vegetable oils and nuts biomarkers were 9.58% for linoleic acid and 0.48% for α-linolenic acid in all adipose tissues. Principle component analysis was applied for the fatty acid biomarkers to provide objective markers of habitual diet for this study population. PCdiet1 was mainly characterized by pentadecanoic acid, heptadecanoic acid and trans palmitoleic acid and therefore served as a principle component for the dietary intake of milk and ruminant fat. PCdiet2 and PCdiet3 only exhibited pattern for ω3 and ω6 fatty acids but not for dietary intake of specific food groups and could therefore not used as objective marker. PCdiet1, 2 and 3 explained 82.76% of variance. The last aim of this thesis was the elaboration of adverse reactions to food ingredients with special focus on food allergies and food intolerances in the context of a possible implementation into an application for consumer health. Scientific information on adverse reactions to food ingredients and trigger substances was provided in this thesis and possible implementation strategies were evaluated. For food allergens, which have regulatory requirements in the context of labelling, a strategy was elaborated, where it is necessary to provide information on the list of ingredients, the nexus ’contain’ and the respective food allergen as well as information on the name of the product. For food intolerances, which do not have regulatory requirements, limits were shown in the context of the application. If the elaborated food intolerances shall be implemented into the application, a professional dietary concept has to be developed for every food intolerance because of the complexity of the implementation.
Atherosclerosis is accepted to be a chronic inflammatory disease of the arterial vessel wall. Several cellular subsets of the immune system are involved in its initiation and progression, such as monocytes, macrophages, T and B cells. Recent research has demonstrated that dendritic cells (DCs) contribute to atherosclerosis, too. DCs are defined by their ability to sense and phagocyte antigens, to migrate and to prime other immune cells, such as T cells. Although all DCs share these functional characteristics, they are heterogeneous with respect to phenotype and origin. Several markers have been used to describe DCs in different lymphoid and non-lymphoid organs; however, none of them has proven to be unambiguous. The expression of surface molecules is highly variable depending on the state of activation and the surrounding tissue. Furthermore, DCs in the aorta or the atherosclerotic plaque can be derived from designated precursor cells or from monocytes. In addition, DCs share both their marker expression and their functional characteristics with other myeloid cells like monocytes and macrophages. The repertoire of aortic DCs in healthy and atherosclerotic mice has just recently started to be explored, but yet there is no systemic study available, which describes the aortic DC compartment. Because it is conceivable that distinct aortic DC subsets exert dedicated functions, a detailed description of vascular DCs is required. The first part of this thesis characterizes DC subsets in healthy and atherosclerotic mice. It describes a previously unrecognized DC subset and also sheds light on the origin of vascular DCs. In recent years, microRNAs (miRNAs) have been demonstrated to regulate several cellular functions, such as apoptosis, differentiation, development or proliferation. Although several cell types have been characterized extensively with regard to the miRNAs involved in their regulation, only few studies are available that focus on the role of miRNAs in DCs. Because an improved understanding of the regulation of DC functions would allow for new therapeutic options, research on miRNAs in DCs is required. The second part of this thesis focuses on the role of the miRNA cluster miR- 17~92 in DCs by exploring its functions in healthy and atherosclerotic mice. This thesis clearly demonstrates for the first time an anti-inflammatory and atheroprotective role for the miR17-92 cluster. A model for its mechanism is suggested.
This thesis is divided into three parts with the main goal allocating novel antimicrobial compounds that could be used as future antibiotics. The first part aimed to evaluate the potential of plant suspension cultures for the production of antimicrobial proteins. The extracellular, intracellular and cell wall bound fractions of seven heterotrophic and photomixotrophic plant cell suspension cultures treated with nine different elicitors were tested for the elicitor dependent production of antimicrobial proteins. Bioactivities were tested against a selected panel of human isolates including Gram-positive and Gram-negative bacteria as well as fungi using the disc diffusion assay. The intracellular fractions of elicited cell cultures were more active than extracellular fractions while the cell wall bound fractions showed lowest activities. Among the 21 fractions tested, the intracellular fraction of Lavendula angustifolia elicited with DC3000 was most active against Candida maltosa. The second most active fraction was the intracellular fraction of Arabidopsis thaliana elicited with salicylic acid which was moreover active against all test strains. The antimicrobial activity of elicited Arabidopsis thaliana cell cultures was tested by bioautography to locate the antimicrobial proteins in the crude extract. The intracellular fraction of photomixotrophic Arabidopsis thaliana cells elicited with salicylic acid was selected for further gel filtration chromatography on S-200 column leading to the purification of one 19 kDa antimicrobially active protein, designated, AtAMP. Our findings suggest that elicited plant cell cultures may present a new promising alternative source of antimicrobial proteins. The second part comprises the isolation of actinomycetes associated with marine sponges and testing the bioactivities of new species for further investigations. Actinobacterial communities of eleven taxonomically different sponges that had been collected from offshore Ras Mohamed (Egypt) and from Rovinj (Croatia) were investigated by a culture-based approach using different standard media for isolation of actinomycetes and media enriched with aqueous sponge extract to target rare and new actinomycete species. Phylogenetic characterization of 52 representative isolates out of 90 based on almost complete sequences of genes encoding 16S rRNA supported their assignment to 18 different actinomycete genera. Altogether 14 putatively new species were identified based on sequence similarity values below 98.2% to other strains in the NCBI database. The use of M1 agar amended with aqueous sponge extract yielded a putative new genus related to Rubrobacter which highlighting the need for innovative cultivation protocols. Biological activity testing showed that five isolates were active against Gram-positives only, one isolate was active against Candida albicans only and one isolate showed activity against both groups of pathogens. Moreover, the antiparasistic activity was documented for four isolates. These results showed a high diversity of actinomycetes associated with marine sponges as well as highlighted their potential to produce anti-infective agents. The third part of the thesis focused on the isolation and structure elucidation of new bioactive compounds. Streptomyces strain RV15 recovered from sponge Dysidea tupha, was selected for further chemical analysis by virtue of the fact that it exhibited the greatest antimicrobial potential against Staphylococcus aureus as well as Candida albicans among the all tested strains. Moreover, members of the genus Streptomyces are well known as prolific producers of interesting pharmacologically active metabolites. Chemical analysis of the methanolic crude extract using different chromatographic tools yielded four new compounds. The structures of the new compounds were spectroscopically elucidated to be four new cyclic peptides, namely, cyclodysidins A-D. Their bioactivity was tested against different proteases, bacteria and Candida as well as tumor cell lines. The compounds did not show any significant activities at this point.
Glioblastoma (GB) is the most aggressive malignant adult brain tumour with a median survival rate of only 15 months. GB tumours are characterized by necrotic and hypoxic core, which leads to nutrient deficient areas contributing to invasive, diffuseinfiltrative and angiogenic nature of these tumours. Cells exposed to nutrient deficient conditions and are known to reprogram their metabolism to produce or procure macro molecules from their environment. This makes cancer cells uniquely dependent on transcriptional regulators and a window of opportunity to target them. Sterol regulatory element binding protein 1 (SREBP1) is a transcriptional regulator of de-novo fatty acid synthesis in cells. The aim of this thesis was to investigate if SREBP1 was involved in restructuring the transcriptional regulation of genes involved in fatty acid biosynthesis upon low serum condition, in mediating interaction with other cell types in the tumour bulk such as endothelial cells, in regulating cancer stem like cells and finally to study its upstream regulation in GB. Global transcriptional analysis on GB cells exposed to low serum conditions revealed that SREBP1 regulated several fatty acid biosynthesis and phospholipid metabolic processes. PLA2G3 was identified as a novel target of SREBP1 in GB that was uniquely regulated in low serum condition. Analysis of total fatty acid and lipid species revealed that loss of SREBP1 in low serum condition changes the proportion of saturated, MUFAs and PUFAs. These changes were not specific to loss of PLA2G3 but as a result of downregulation of many genes regulated by SREBP1 in the fatty acid biosynthetic pathway. Next, treatment of HUVEC’s (endothelial cells) with condition medium from SREBP1-silenced U87 cells inhibited sprouting and tube formation capacity compared to the control condition, emphasizing the role of SREBP1 in angiogenesis and release of signalling mediators. Further, SREBP1 was shown to be important for proliferation of patient derived stem like cells and becomes indispensable for forming neurospheres in long term cultures, indicating its role in maintaining stemness. Also, inhibition of SREBP function by blocking the esterification of cholesterol using inhibitors targeting SOAT1 showed impairment in the viability of GB cells exposed to serum-depleted condition. Overall, SREBP1 plays an important role in maintaining tumour growth in nutrient deficient conditions and help in interaction with tumour microenvironment contributing to the aggressiveness of this tumour and poses itself as an attractive and unique target for GB treatment
Analysis of the mechanism and the regulation of histatin 5 resistance in \(Candida\) \(albicans\)
(2018)
Antimycotics such as fluconazole are frequently used to treat C. albicans infections of the oral mucosa. Prolonged treatment of the fungal infection with fluconazole pose a risk to resistance development. C. albicans can adapt to these stressful environmental changes by regulation of gene expression or by producing genetically altered variants that arise in the population. Adapted variants frequently carry activating mutations in zinc cluster transcription factors, which cause the upregulation of their target genes, including genes encoding efflux pumps that confer drug resistance. MDR1, regulated by the zinc cluster transcription factor Mrr1, as well as CDR1 and CDR2, regulated by the zinc cluster transcription factor Tac1, are well-known examples of genes encoding efflux pumps that extrude the antimycotic fluconazole from the fungal cell and thus contribute to the survival of the fungus.
In this study, it was investigated if C. albicans can develop resistance to the antimicrobial peptide histatin 5, which serves as the first line of defence in the oral cavity of the human host. Recently, it was shown that C. albicans transports histatin 5 outside of the Candia cell via the efflux pump Flu1. As efflux pumps are often regulated by zinc cluster transcription factors, the Flu1 efflux pump could also be regulated by a zinc cluster transcription factor which could in a hyperactive form upregulate the expression of the efflux pump, resulting in increased export of histatin 5 and consequently in histatin 5 resistance.
In order to find a zinc cluster transcription factor that upregulates FLU1 expression, a comprehensive library of C. albicans strains containing artificially activated forms of zinc cluster transcription factors was screened for suitable candidates. The screening was conducted on medium containing mycophenolic acid because mycophenolic acid is also a substrate of Flu1 and a strain expressing a hyperactive zinc cluster transcription factor that upregulates FLU1 expression should exhibit an easily recognisable mycophenolic acid-resistant phenotype. Further, FACS analysis, quantitative real-time RT-PCR analysis, broth microdilution assays as well as histatin 5 assays were conducted to analyse the mechanism and the regulation of histatin 5 resistance.
Several zinc cluster transcription factors caused mycophenolic acid resistance and upregulated FLU1 expression. Of those, only hyperactive Mrr1 was able to confer increased histatin 5 resistance. Finding Mrr1 to confer histatin 5 resistance was highly interesting as fluconazole-resistant strains with naturally occurring Mrr1 gain of function mutations exist, which were isolated from HIV-infected patients with oral candidiasis. These Mrr1 gain of function mutations as well as artificially activated Mrr1 cause fluconazole resistance by upregulation of the efflux pump MDR1 and other target genes. In the course of the study, it was found that expression of different naturally occurring MRR1 gain-of-function mutations in the SC5314 wild type background caused increased FLU1 expression and increased histatin 5 resistance. The same was true for fluconazole-resistant clinical isolates with Mrr1 gain of function mutations, which also caused the overexpression of FLU1. Those cells were less efficiently killed by histatin 5 dependent on Mrr1. Surprisingly, FLU1 contributed only little to histatin 5 resistance, rather, overexpression of MDR1 mainly contributed to the Mrr1-mediated histatin 5 resistance, but also additional Mrr1-target genes were involved. These target genes are yet to be uncovered. Moreover, if a link between the yet unknown Mrr1-target genes contributing to fluconazole resistance and increased histatin 5 resistance can be drawn remains to be discovered upon finding of the responsible target genes.
Collectively, this study contributes to the understanding of the impact of prolonged antifungal exposure on the interaction between host and fungus. Drug therapy can give rise to resistance evolution resulting in strains that have not only developed resistance to fluconazole but also to an innate host mechanism, which allows adaption to the host niche even in the absence of the drug.
Platelets play a central role in thrombosis, hemostasis, and inflammation. Here, we show that activated platelets release inorganic polyphosphate (polyP), a polymer of 60- 100 phosphate residues that directly bound to and activated the plasma protease factor XII. PolyP-driven factor XII-activation triggered release of the inflammatory mediator bradykinin by plasma kallikrein-mediated kininogen processing. PolyP increased vascular permeability and induced fluid extravasation in skin microvessels of mice. Mice deficient in factor XII or bradykinin receptors were resistant to polyP-induced leakage. PolyP initiated clotting of plasma via the contact pathway. Ablation of intrinsic coagulation pathway proteases factor XII and factor XI protected mice from polyPtriggered lethal pulmonary embolism. Targeting polyP with phosphatases interfered with procoagulant activity of activated platelets and blocked platelet-induced thrombosis in mice. Infusion of polyP restored defective plasma clotting of Hermansky- Pudlak Syndrome patients, which lack platelet polyP. The data identify polyP as a new class of mediator having fundamental roles in platelet-driven proinflammatory and procoagulant disorders.
The proteins of the RAF family (A-RAF, B-RAF, and C-RAF) are serine/threonine-kinases that play important roles in development, mature cell regulation and cancer. Although it is widely held that their localization on membranes is an important aspect of their function, there are few data addressing this aspect of their mode of action. Here, we report that each member of the RAF family exhibits a specific distribution at the level of cellular membranes, and that C-RAF is the only isoform that directly targets mitochondria. We find that the RAF kinases exhibit intrinsic differences in terms of mitochondrial affinity, and that C-RAF is the only isoform that binds this organelle efficiently. This affinity is conferred by the C-RAF amino-terminal domain, and does not depend on the presence of RAS GTPases on the surface of mitochondria. Furthermore, we analyze the consequences of C-RAF activation on the cellular and molecular level. C-RAF activation on mitochondria dramatically changes their morphology and their subcellular distribution. On the molecular level, we examine the role of C-RAF in the regulation of the pro-apoptotic Bcl-2 family member BAD. This protein exhibits the original mode of regulation by phosphorylation. Although several reports addressed the regulation of BAD by C-RAF, the exact mode of action as well as the consequences of C-RAF activation on BAD are still not completely understood. We show that the inducible activation of C-RAF promotes the rapid phosphorylation of BAD on Serine-112 (Ser-75 in the human protein), through a cascade involving the kinases MEK and RSK. Our findings reveal a new aspect of the regulation of BAD protein and its control by the RAF pathway: we find that C-RAF activation promotes BAD poly-ubiquitylation in a phosphorylation-dependent fashion, and increases the turn-over of this protein through proteasomal degradation.
The majority of rapid cell-to-cell communication mechanisms and information processing within the nervous system makes use of chemical synapses. Fast neurotransmission on these sites not only requires very close apposition of pre- and postsynaptic partners, but also depends on an effective structural arrangement of cellular components on both sides of the synaptic cleft. Synaptic vesicles fuse at active zones (AZs), characterized by an electron-dense protein mesh of insufficiently characterized composition and function. EM analysis of synapses identified electron dense structures thought (but not proven) to play an important role for vesicle release efficacy. The molecular organization of presynaptic AZs during Ca2+ influx–triggered neurotransmitter release is currently a focus of intense investigation. Due to its appearance in electron micrographs, dense bodies at Drosophila synapses were named T-bars. Together with the lab of Erich Buchner, we recently showed that Bruchpilot (BRP) of the Drosophila melanogaster, homologous to the mammalian CAST/ERC family in its N-terminal half, is essential for the T-bar assembly at AZs and efficient neurotransmitter release respectively. The question, in which way BRP contributes to functional and structural organization of the AZ, was a major focus of this thesis. First, stimulated emission depletion microscopy (STED), featuring significantly increased optical resolution, was used to achieve first insights into ‘cytoarchitecture’ of the AZ compartment. In addition, in vivo live imaging experiments following identified populations of synapses over extended periods were preformed to address the trafficking of protein at forming synapses and thereby providing a temporal sequence for the AZ assembly process. Apart from BRP, two additional AZ proteins, DLiprin-α and DSyd-1, were included into the analysis, which were both shown to contribute to efficient AZ assembly. Drosophila Syd-1 (DSyd-1) and Drosophila Liprin-α (DLiprin-α) clusters initiated AZ assembly, finally forming discrete ‘quanta’ at the AZ edge. ELKS-related Bruchpilot, in contrast, accumulated late from diffuse pools in the AZ center, where it contributed to the electron dense specialization by adopting an extended conformation vertical to the AZ membrane. We show that DSyd-1 and DLiprin-α are important for efficient AZ formation. The results of this thesis describe AZ assembly as a sequential protracted process, with matured AZs characterized by sub-compartments and likely quantal building blocks. This step-wise, in parts reversible path leading to mature AZ structure and function offers new control possibilities in the development and plasticity of synaptic circuits.
Wilms tumor (WT) is the most common renal tumor in childhood. Among others, MYCN copy number gain and MYCN P44L and MAX R60Q mutations have been identified in WT. The proto-oncogene MYCN encodes a transcription factor that requires dimerization with MAX to activate transcription of numerous target genes. MYCN gain has been associated with adverse prognosis. The MYCN P44L and MAX R60Q mutations, located in either the transactivating or basic helix-loop-helix domain, respectively, are predicted to be damaging by different pathogenicity prediction tools. These mutations have been reported in several other cancers and remain to be functionally characterized.
In order to further describe these events in WT, we screened both mutations in a large cohort of unselected WT patients, to check for an association of the mutation status with certain histological or clinical features. MYCN P44L and MAX R60Q revealed frequencies of 3 % and 0.9 % and also were significantly associated to higher risk of relapse and metastasis, respectively. Furthermore, to get a better understanding of the MAX mutational landscape in WT, over 100 WT cases were analyzed by Sanger sequencing to identify other eventual MAX alterations in its coding sequence. R60Q remained the only MAX CDS alteration described in WT to date.
To analyze the potential functional consequences of these mutations, we used a doxycycline-inducible system to overexpress each mutant in HEK293 cells. This biochemical characterization identified a reduced transcriptional activation potential for MAX R60Q, while the MYCN P44L mutation did not change activation potential or protein stability. The protein interactome of N-MYC-P44L was likewise not altered as shown by mass spectrometric analyses of purified N-MYC complexes. However, we could identify a number of novel N-MYC partner proteins, several of these known for their oncogenic potential. Their correlated expression in WT samples suggested a role in WT oncogenesis and they expand the range of potential biomarkers for WT stratification and targeting, especially for high-risk WT.
The epithelial layer of the gastrointestinal (GI) tract provides a barrier between the environment and the body. Dysfunction of the epithelium, including changes of the innate immune response facilitated by pattern recognition receptors (PRRs), plays a major role in the development of GI disorders. However, the organization of innate immune sensing, the expression and activity of PRRs and the factors contri¬buting to such possible organization along the GI tract are unclear. In recent years, stem cell-derived organoids gained increasing attention as promising tissue models. Here, a biobank of human and murine organoids comprising three lines from each GI segment; corpus, pylorus, duodenum, jejunum, ileum, colon was generated. RNA sequencing of 42 lines confirmed the preservation of tissue identity and revealed an extensive organization of innate immune signaling components along the cephalocaudal axis, giving each segment a specific innate immune profile. Comple-menting the region-specific expression analysis, several PRRs in human and murine organoids showed region- and species-specific function. To investigate the factors contributing to the patterning of innate immunity in the GI tract, the impact of microbial components was analyzed using murine embryo-derived, never colonized gastric and proximal intestinal organoids. Transcriptional profiling of embryo-derived organoids showed that while expression of some PRRs may depend on environmental cues as expected, an unexpectedly large part of segment-specific expression of PRR signaling components is independent of prior contact with microbial products. Further, analysis of published RNA-seq data as well as in vitro experiments using directed differentiation of organoids into specific cell types showed that expression of innate immune gene also depended on cellular differentiation along the crypt-villus axis. This underlined the importance of cellular differentiation rather than contact to microbial compounds for expression of PRRs. Lastly, analysis of published datasets of RNA-seq and ATAC-seq after knockout of the intestinal transcription factor Cdx2 demonstrated that Cdx2 is likely important for the expression of Nlrp6 and Naip1 in the murine intestine. Future experiments have to support these preliminary findings. Taken together, the expression of a large part of epithelial innate immunity is develop¬mentally defined and conserved in tissue-resident stem cells. The identification of mechanisms governing expression of genes related to immunity will provide further insights into the mechanisms that play a role in the progress of inflammatory diseases.
Estrogens, namely 17β-estradiol (E2) and estrone (E1) are considered to play an important role in the initiation and promotion of breast cancer (summarized in Raftogianis et al., 2000), a malignancy responsible for around 500,000 deaths per year (summarized in Ghislain et al., 2016). Two major mechanisms have been postulated to explain the carcinogenic effects of estrogens: (1) the estrogen receptor-mediated stimulation of breast cell proliferation with a concomitant enhanced rate of mutations and (2) the metabolism of hydroxylated estrogens to quinone derivatives which can react with the DNA (Russo and Russo, 2006, summarized in Yager and Davidson, 2006). Nevertheless, as a detoxifying mechanism, E1, E2, and their hydroxylated and methoxylated metabolites are reversibly conjugated into sulfates and glucuronides devoid of biological activity (summarized in Guillemette et al., 2004). Yet, despite the key detoxifying function of these conjugates, the study of their circulating levels face some significant problems: (1) analysis by techniques such as radioimmunoassay lack specificity and accuracy and requires enzymatic/chemical hydrolysis before analysis, being unable to differentiate between sulfates and glucuronides (summarized in Stanczyk et al., 2007, summarized in Wang et al., 2016), (2) very little knowledge in healthy women, which has been identified as a barrier to advance in breast cancer research (summarized in Liu, 2000), and (3) far fewer studies in pre- than in postmenopausal women (summarized in Samavat and Kurzer, 2015). Therefore, to get more insights into the research of breast cancer etiology and prevention, the analysis of circulating levels of estrogens (including metabolites and conjugates) in women without breast cancer through reliable analytical techniques, is required.
Host–microbe interactions are the key to understand why and how microbes inhabit specific environments. With the scientific fields of microbial genomics and metagenomics, evolving on an unprecedented scale, one is able to gain insights in these interactions on a molecular and ecological level. The goal of this PhD thesis was to make (meta–)genomic data accessible, integrate it in a comparative manner and to gain comprehensive taxonomic and functional insights into bacterial strains and communities derived from two different environments: the phyllosphere of Arabidopsis thaliana and the mesohyl interior of marine sponges.
This thesis focused first on the de novo assembly of bacterial genomes. A 5–step protocol was developed, each step including a quality control. The examination of different assembly software in a comparative way identified SPAdes as most suitable. The protocol enables the user to chose the best tailored assembly. Contamination issues were solved by an initial filtering of the data and methods normally used for the binning of metagenomic datasets. This step is missed in many published assembly pipelines. The described protocol offers assemblies of high quality ready for downstream analysis.
Subsequently, assemblies generated with the developed protocol were annotated and explored
in terms of their function. In a first study, the genome of a phyllosphere bacterium, Williamsia sp. ARP1, was analyzed, offering many adaptions to the leaf habitat: it can deal with temperature shifts, react to oxygen species, produces mycosporins as protection against UV–light, and is able to uptake photosynthates. Further, its taxonomic position within the Actinomycetales was infered from 16S rRNA and comparative genomics showing the close relation between the genera Williamsia and Gordonia.
In a second study, six sponge–derived actinomycete genomes were investigated for secondary metabolism. By use of state–of–the–art software, these strains exhibited numerous gene clusters, mostly linked to polykethide synthases, non–ribosomal peptide synthesis, terpenes, fatty acids and saccharides. Subsequent predictions on these clusters offered a great variety of possible produced compounds with antibiotic, antifungal or anti–cancer activity. These analysis highlight the potential for the synthesis of natural products and the use of genomic data as screening toolkit.
In a last study, three sponge–derived and one seawater metagenomes were functionally compared. Different signatures regarding the microbial composition and GC–distribution were observed between the two environments. With a focus on bacerial defense systems, the data indicates a pronounced repertoire of sponge associated bacteria for bacterial defense systems, in particular, Clustered Regularly Interspaced Short Palindromic Repeats, restriction modification system, DNA phosphorothioation and phage growth limitation. In addition, characterizing genes for secondary metabolite cluster differed between sponge and seawater microbiomes. Moreover, a variety of Type I polyketide synthases were only found within the sponge microbiomes. With that, metagenomics are shown to be a useful tool for the screening of secondary metabolite genes. Furthermore, enriched defense systems are highlighted as feature of sponge-associated microbes and marks them as a selective trait.
1. Since the early nineteenth century describing (and understanding) patterns of distribution of biodiversity across the Earth has represented one of the most significant intellectual challenges to ecologists and biogeographers. Among the most striking patterns of species richness are: the latitudinal and elevational gradients, with peaks in number of species at low latitudes and somewhere at mid altitudes, although other patterns, e.g. declines with increasing elevation, are often observed. Even in highly diverse tropical regions, species richness is not evenly distributed but there are “hotspots” of biodiversity where an exceptional number of species, especially endemics, are concentrated. Unfortunately, such areas are also experiencing dramatic loss of habitat. Among vertebrate taxa, amphibians are facing the most alarming number of extinctions. Habitat destruction, pollution and emergence of infectious diseases such as chytridiomycosis, are causing worldwide population declines. Responses to these drivers can be multidirectional and subtle, i.e. they may not be captured at the species but at the genetic level. Moreover, present patterns of diversity can result from the influence of past geological, climatic and environmental changes.
In this study, I used a multidisciplinary and multilevel approach to understand how and to which extent the landscape influences amphibian diversity. Mount Kilimanjaro is an exceptional tropical region where the landscape is rapidly evolving due to land use changes; additionally, there is a broad lack of knowledge of its amphibian fauna. During two rainy seasons in 2011, I recorded anurans from the foothills to 3500 m altitude; in addition, I focused on two river frog species and collected tissue samples for genetic analysis and swabs for detection of chytridiomycosis, the deadly disease caused by Batrachochytrium dendrobatidis (Bd).
2. I analyzed how species richness and composition change with increasing elevation and anthropogenic disturbance. In order to disentangle the observed patterns of species diversity and distribution, I incorporated inferences from historical biogeography and compared the assemblage of Mt. Kilimanjaro and Mt. Meru (both recent volcanoes) with those of the older Eastern Arc Mountains. Species richness decreased with elevation and locally increased in presence of water bodies, but I did not detect effects of either anthropogenic disturbance or vegetation structure on species richness and composition. Moreover, I found a surprisingly low number of forest species. Historical events seem to underlie the current pattern of species distribution; the young age of Mt. Kilimanjaro and the complex biogeographic processes which occurred in East Africa during the last 20 million years prevented montane forest frogs from colonizing the volcano.
3. I focused on the genetic level of biodiversity and investigated how the landscape, i.e. elevation, topographic relief and land cover, influence genetic variation, population structure and gene flow of two ecologically similar and closely related river frog species, namely Amietia angolensis and Amietia wittei. I detected greater genetic differentiation among populations in the highland species (A. wittei) and higher genetic variation in the lowland species (A. angolensis), although genetic diversity was not significantly correlated with elevation. Importantly, human settlements seemed to restrict gene flow in A. angolensis, whereas steep slopes were positively correlated with gene flow in A. wittei. This results show that even ecologically similar species can respond differently to landscape processes and that the spatial configuration of topographic features combined with species-specific biological attributes can affect dispersal and gene flow in disparate ways.
4. River frogs of the genus Amietia seem to be particularly susceptible to chytridiomycosis, showing the highest pathogen load in Kenya and other African countries. In the last study, I collected swab samples from larvae of A. angolensis and A. wittei for Bd detection. Both species resulted Bd-positive. The presence of Bd on Mt. Kilimanjaro has serious implication. For instance, Bd can be transported by footwear of hikers from contaminated water and soil. Tourists visiting Mt. Kilimanjaro may translocate Bd zoospores to other areas such as the nearby Eastern Arc Mts. where endemic and vulnerable species may still be naïve to the fungus and thus suffer of population declines.
5. My study significantly contributed to the knowledge of the amphibian fauna of Mt. Kilimanjaro and of East Africa in general, and it represents a valuable tool for future conservation actions and measures. Finally, it highlights the importance of using a multidisciplinary (i.e. community ecology, historical biogeography, landscape genetics, disease ecology) and multilevel (i.e. community, species, population, gene) approach to disentangle patterns of biodiversity.
Alzheimer’s disease (AD) is the most prevalent neurodegenerative disease of the brain, which is characterized by a progressive loss of memory and spatial orientation. Only less than 5-10% of AD sufferers are familial cases due to genetic mutations in the amyloid precursor protein (APP) gene or presenilin (PS) 1 and 2 genes. The cause of sporadic AD (sAD) which covers > 95% of AD patients is still unknown. Current research found interactions between aging, diabetes and cognitive decline including dementia in general and in AD in particular. Disturbances of brain glucose uptake, glucose tolerance and utilization and impairment of the insulin/insulin receptor (IR) signaling cascade are thought to be key targets for the development of sAD.
In the brain of AD patients, neural plasticity is impaired indicated by synaptic and neuronal loss. Adult neurogenesis (AN), the generation of functional neurons in the adult brain, may be able to restore neurological function deficits through the integration of newborn neurons into existing neural networks. The dentate gyrus of the hippocampus is one out of few brain regions where life-long AN exists. However, there is a big controversy in literature regarding the involvement of AN in AD pathology. Most animal studies used transgenic mice based on the Amyloid ß (Aß) hypothesis which primarily act as models for the familial form of AD. Findings from human post mortem AN studies were also inconstistent. In this thesis, we focused on the possible involvement of AN in the pathogenesis of the sporadic form of AD. Streptozotocin intracerebroventricularily (STZ icv) treated rats, which develop an insulin-resistant brain state and learning and memory deficits preceding Aß pathology act as an appropriate animal model for sAD. We used STZ treatment for both parts of my work, for the in vivo and in vitro study.
In the first part of my thesis, my coworkers and I investigated STZ icv treatment effects on different stages of AN in an in vivo approach. Even if STZ icv treatment does not seem to considerably influence stem cell proliferation over a short-term (1 month after STZ icv treatment) as well as in a long-term (3 months after STZ icv treatment) period, it results in significantly less immature and newborn mature neurons 3 months after STZ icv treatment. This reduction detected after 3 months was specific for the septal hippocampus, discussed to be important for spatial learning. Subsequently we performed co-localization studies with antibodies detecting BrdU (applied appr. 27 days before sacrifice) and cell-type specific markers such as NeuN, and GFAP, we found that STZ treatment does not affect the differentiation fate of newly generated cells. Phenotype analysis of BrdU-positive cells in the hilus and molecular layer revealed that some of the BrdU-positive cells are newborn oligodendrocytes but not newborn microglia.
In the second part of my thesis I worked with cultured neural stem cells (NSCs) isolated from the adult rat hippocampus to reveal STZ effects on the proliferation of of NSCs, and on the survival and differentiation of their progeny. Furthermore, this in vitro approach enabled me to study cellular mechanisms underlying the observed impaired neurogenesis in the hippocampus of STZ-treated rats. In contrast to our findings of the STZ icv in vivo study we revealed that STZ supplied with the cell culture medium inhibits the proliferation of NSCs in a dose-dependent and time-dependent manner. Moreover, performing immunofluorescence studies with antibodies detecting cell-type specific markers after triggering NSCs to differentiate, we could show that STZ treatment affects the number of newly generated neurons but not of astrocytes. Analyzing newborn cells starting to differentiate and migrate I was able to demonstrate that STZ has no effect on the migration of newborn cells. Trying to reveal cellular mechanisms underlying the negative influence of STZ on hippocampal AN, we performed qRT-PCR and immunofluorescence staining and thus could show that in NSCs the expression of glucose transporter (GLUT)3 mRNA as well as IR and GLUT3 protein levels are reduced after STZ treatment. Therefore, the inhibition of the proliferation of NSCs may be (at least partially) caused by these two molecules. Interestingly, the effect of STZ on differentiating cells was shown to be different, as IR protein expression was not significantly changed but GLUT3 protein levels were decreased in consequence of STZ treatment.
In summary, this project delivered further insights into the interrelation between AN the sporadic form of sAD and thus provides a basis of new therapeutic approaches in sAD treatment through intervening AN. Discrepancies between the results of the two parts of my thesis, the in vivo and in vitro part, were certainly caused to a certain extent by the missing microenvironment in the in vitro approach with cultured NSCs. Future studies e.g. using co-culture systems could at least minimize the effect of a missing natural microenvironment of cultured NSCs, so that the use of an in vitro approach for the investigation of STZ treatment underlying cellular mechanisms can be improved.