Refine
Has Fulltext
- yes (1146)
Year of publication
- 2021 (1146) (remove)
Document Type
- Journal article (894)
- Doctoral Thesis (223)
- Conference Proceeding (8)
- Working Paper (6)
- Other (5)
- Book (3)
- Preprint (3)
- Master Thesis (2)
- Bachelor Thesis (1)
- Report (1)
Language
- English (1146) (remove)
Keywords
- COVID-19 (20)
- inflammation (17)
- virtual reality (14)
- SARS-CoV-2 (11)
- boron (11)
- inorganic chemistry (11)
- cancer (8)
- immunohistochemistry (8)
- Parkinson's disease (7)
- RNA (7)
Institute
- Theodor-Boveri-Institut für Biowissenschaften (168)
- Graduate School of Life Sciences (97)
- Institut für Anorganische Chemie (60)
- Institut für Psychologie (54)
- Medizinische Klinik und Poliklinik I (54)
- Institut für Informatik (48)
- Institut für Organische Chemie (47)
- Medizinische Klinik und Poliklinik II (46)
- Institut für Geographie und Geologie (43)
- Klinik und Poliklinik für Allgemein-, Viszeral-, Gefäß- und Kinderchirurgie (Chirurgische Klinik I) (39)
Sonstige beteiligte Institutionen
- Cologne Game Lab (3)
- Open University of the Netherlands (2)
- Ökologische Station Fabrikschleichach (2)
- Airbus Defence and Space GmbH (1)
- Apotheke, Universitätsklinikum Würzburg (1)
- Biomedical Center Munich, Department of Physiological Chemistry, Ludwig-Maximilians-Universität München (1)
- Birmingham City University (1)
- Bundeswehr Institute of Radiobiology affiliated to the University of Ulm, Munich, Germany (1)
- Clinical Trial Center (CTC) / Zentrale für Klinische Studien Würzburg (ZKSW) (1)
- DFG Forschungsgruppe 2757 / Lokale Selbstregelungen im Kontext schwacher Staatlichkeit in Antike und Moderne (LoSAM) (1)
The transcription factor NRF2 is considered as the master regulator of cytoprotective and ROS-detoxifying gene expression. Due to their vulnerability to accumulating reactive oxygen species, melanomas are dependent on an efficient oxidative stress response, but to what extent melanomas rely on NRF2 is only scarcely investigated so far. In tumor entities harboring activating mutations of NRF2, such as lung adenocarcinoma, NRF2 activation is closely connected to therapy resistance. In melanoma, activating mutations are rare and triggers and effectors of NRF2 are less well characterized.
This work revealed that NRF2 is activated by oncogenic signaling, cytokines and pro-oxidant triggers, released cell-autonomously or by the tumor microenvironment. Moreover, silencing of NRF2 significantly reduced melanoma cell proliferation and repressed well-known NRF2 target genes, indicating basal transcriptional activity of NRF2 in melanoma. Transcriptomic analysis showed a large set of deregulated gene sets, besides the well-known antioxidant effectors. NRF2 suppressed the activity of MITF, a marker for the melanocyte lineage, and induced expression of epidermal growth factor receptor (EGFR), thereby stabilizing the dedifferentiated melanoma phenotype and limiting pigmentation markers and melanoma-associated antigens. In general, the dedifferentiated melanoma phenotype is associated with a reduced tumor immunogenicity. Furthermore, stress-inducible cyclooxygenase 2 (COX2) expression, a crucial immune-modulating gene, was regulated by NRF2 in an ATF4-dependent manner. Only in presence of both transcription factors was COX2 robustly induced by H2O2 or TNFα. COX2 catalyzes the first step of the prostaglandin E2 (PGE2) synthesis, which was described to be associated with tumor immune evasion and reduction of the innate immune response.
In accordance with these potentially immune-suppressive features, immunocompetent mice injected with NRF2 knockout melanoma cells had a strikingly longer tumor-free survival compared to NRF2-proficient cells. In line with the in vitro data, NRF2-deficient tumors showed suppression of COX2 and induction of MITF. Furthermore, transcriptomic analyses of available tumors revealed a strong induction of genes belonging to the innate immune response, such as RSAD2 and IFIH1. The expression of these genes strongly correlated with immune evasion parameters in human melanoma datasets and NRF2 activation or PGE2 supplementation limited the innate immune response in vitro.
In summary, the stress dependent NRF2 activation stabilizes the dedifferentiated melanoma phenotype and facilitates the synthesis of PGE2. As a result, NRF2 reduces gene expression of the innate immune response and promotes the generation of an immune-cold tumor microenvironment. Therefore, NRF2 not only elevated the ROS resilience, but also strongly contributed to tumor growth, maintenance, and immune control in cutaneous melanoma.
Gonorrhea is the second most common sexually transmitted infection worldwide and is caused by Gram-negative, human-specific diplococcus Neisseria gonorrhoeae. It colonizes the mucosal surface of the female reproductive tract and the male urethra. A rapid increase in antibiotic resistance makes gonorrhea a serious threat to public health worldwide. Since N. gonorrhoeae is a human-specific pathogen, animal infection models are not able to recapitulate all the features of infection. Therefore, a realistic in vitro cell culture model is urgently required for studying the gonorrhea infection. In this study, we established and characterized three independent 3D tissue models based on the porcine small intestinal submucosa (SIS) scaffold by co-culturing human dermal fibroblasts with human colorectal carcinoma, endometrial epithelial, and male uroepithelial cells. The histological, immunohistochemical, and ultra-structural analysis showed that the 3D SIS scaffold-based models closely mimic the main characteristics of the site of gonococcal infection in the human host including the formation of epithelial monolayer, underlying connective tissue, mucus production, tight junction (TJ), and microvilli. In addition, functional analysis such as transepithelial electrical resistance (TEER) and barrier permeability indicated high barrier integrity of the cell layer. We infected the established 3D tissue models with different N. gonorrhoeae strains and derivatives presenting various phenotypes regarding adhesion and invasion. The results showed disruption of TJs and growing the interleukins production in response to the infection, which depends on the type of strain and cell. In addition, the 3D tissue models supported bacterial survival, which provided an appropriate in vitro model for long-term infection study. This could be mainly because of the high resilience of the 3D tissue models based on the SIS scaffold to the infection in terms of alteration in permeability, cell destruction, and bacterial transmigration.
During gonorrhea infection, a high level of neutrophils migrates to the site of infection. The studies also showed that N. gonorrhoeae can survive or even replicate inside the neutrophils. Therefore, studying the interaction between neutrophils and N. gonorrhoeae is substantially under scrutiny. For this purpose, we generated a 3D tissue model by triple co-culturing of human primary fibroblast cells, human colorectal carcinoma cells, and human umbilical vein endothelial cells. The tissue model was subsequently infected by N. gonorrhoeae. A perfusion-based bioreactor system was employed to recreate blood flow in the side of endothelial cells and consequently study human neutrophils transmigration to the site of infection. We observed neutrophils activation upon the infection. Furthermore, we demonstrated the uptake of N. gonorrhoeae by human neutrophils and reverse transmigration of neutrophils to the basal side carrying N. gonorrhoeae. In summary, the introduced 3D tissue models in this research represent a promising tool to investigate N. gonorrhoeae infections under close-to-natural conditions.
Nutrition facts of pollen: nutritional quality and how it affects reception and perception in bees
(2021)
Nutrients belong to the key elements enabling life and influencing an organism’s fitness. The intake of nutrients in the right amounts and ratios can increase fitness; strong deviations from the optimal intake target can decrease fitness. Hence, the ability to assess the nutritional profile of food would benefit animals. To achieve this, they need the according nutrient receptors, the ability to interpret the receptor information via perceptive mechanisms, and the ability to adjust their foraging behavior accordingly. Additionally, eventually existing correlations between the nutrient groups and single nutrient compounds in food could help them to achieve this adjustment. A prominent interaction between food and consumer is the interaction between flowering plants (angiosperms) and animal pollinators. Usually both of the interacting partners benefit from this mutualistic interaction. Plants are pollinated while pollinators get a (most of the times) nutritional reward in form of nectar and/or pollen. As similar interactions between plants and animals seem to have existed even before the emergence of angiosperms, these interactions between insects and angiosperms very likely have co-evolved right from their evolutionary origin. Therefore, insect pollinators with the ability to assess the nutritional profile may have shaped the nutritional profile of plant species depending on them for their reproduction via selection pressure. In Chapter I of this thesis the pollen nutritional profile of many plant species was analyzed in the context of their phylogeny and their dependence on insect pollinators. In addition, correlations between the nutrients were investigated. While the impact of phylogeny on the pollen protein content was little, the mutual outcome of both of the studies included in this chapter is that protein content of pollen is mostly influenced by the plant’s dependence on insect pollinators. Several correlations found between nutrients within and between the nutrient groups could additionally help the pollinators to assess the nutrient profile of pollen. An important prerequisite for this assessment would be that the pollinators are able to differentiate between pollen of different plant species. Therefore, in Chapter II it was investigated whether bees have this ability. Specifically, it was investigated whether honeybees are able to differentiate between pollen of two different, but closely related plant species and whether bumblebees prefer one out of three pollen mixes, when they were fed with only one of them as larvae. Honeybees indeed were able to differentiate between the pollen species and bumblebees preferred one of the pollen mixes to the pollen mix they were fed as larvae, possibly due to its nutritional content. Therefore, the basis for pollen nutrient assessment is given in bees. However, there also was a slight preference for the pollen fed as larvae compared to another non-preferred pollen mix, at least hinting at the retention of larval memory in adult bumblebees. Chapter III looks into nutrient perception of bumblebees more in detail. Here it was shown that they are principally able to perceive amino acids and differentiate between them as well as different concentrations of the same amino acid. However, they do not seem to be able to assess the amino acid content in pollen or do not focus on it, but instead seem to focus on fatty acids, for which they could not only perceive concentration differences, but also were able to differentiate between. These findings were supported by feeding experiments in which the bumblebees did not prefer any of the pollen diets containing less or more amino acids but preferred pollen with less fatty acids. In no choice feeding experiments, bumblebees receiving a diet with high fatty acid content accepted undereating other nutrients instead of overeating fat, leading to increased mortality and the inability to reproduce. Hence, the importance of fat in pollen needs to be looked into further. In conclusion, this thesis shows that the co-evolution of flowering plants and pollinating insects could be even more pronounced than thought before. Insects do not only pressure the plants to produce high quality nectar, but also pressure those plants depending on insect pollination to produce high quality pollen. The reason could be the insects’ ability to receive and perceive certain nutrients, which enables them to forage selectively leading to a higher reproductive success of plants with a pollinator-suitable nutritional pollen profile.
The Orphic Hymns consist of a prooemium and 87 hymns addressed to several deities in a late Orphic initiation of sorts. They were composed probably in Asia Minor during the second or third century CE. The bulk of these hymns are made up of divine epithets often linked together in chains of considerable length. The lexicon attempts to give a comprehensive account of the roughly 850 epithets, bringing together the most relevant information scattered in the scholarly literature and adding others from various sources (literary, epigraphic, lexicographic, scholia etc.) in order to provide an overview of their usage and the main details of their models.
Within the relatively new area of research on Third Language (L3) Acquisition, the subfield of phonology is growing, but still relatively understudied. Testing the current L3 models adopted from research on L3 syntax (see Rothman 2010, Bardel & Falk 2012, Flynn et al. 2004), the studies conducted in the area have mostly focused on the source and directionality of language transfer – both into the L3 and into the respective background languages – with some recent excursions into the role of extra-linguistic factors for multilingual learners (e.g., Wrembel 2015). The findings so far (mostly on production, with perception lagging behind) have been very diverse and, depending on the concrete study, can often be taken to give evidence for any of the prevalent models. This can be attributed to the wide range of different speaker and learner biographies as well as their language combinations and state of acquisition, but crucially the dilemma seems to be inherent in the (phonological) system in and of itself since viewing phonological interlanguage transfer as a one-dimensional and immediately transparent process based on direct correspondences between language systems does not seem to capture the complex nature of the phenomenon.
In this doctoral thesis I investigate the acquisition of an additional phonological system by child and adult German heritage speakers of Turkish. Specifically, I explore how the learners deal with diverse phonological contrasts that promote positive contra negative transfer from their HL (Turkish) and their L2 (German), and how their perception and production is modulated by cognitive and affective variables. Moreover, I test contrasts that can be found neither in the HL nor in the L2 phonological system.
The studies will shed light both on the question of how a new language is shaped and affected by different existing systems and on how two or more phonological grammars co-exist and/or interact in a speaker’s mind. I will argue that, rather than being regarded as simple full projection of language-specific property sets onto the target language, phonological transfer in multilinguals needs to be considered as a process of complex interactions and layers that are established on the level of individual phonological properties and abstract (typological) associations.
This work investigates the death and degradation of the second polar body of the nematode C. elegans in order to improve our understanding how pluripotent undifferentiated cells deal with dying cells. With the use of fluorescence microscopy this work demonstrates that both polar bodies loose membrane integrity early. The second polar body has contact to embryonic cells and gets internalized, dependent on the Rac1-ortholog CED-10.
The polar body gets degraded via LC3-associated phagocytosis. While lysosome recruitment depends on RAB-7, LC3 does not improve lysosome recruitment but still accelerates polar body degradation.
This work establishes the second polar body as a genetic model to study cell death and LC3-associated phagocytosis and has revealed further aspects of phagosome maturation and degradation.
In summary, the wave-CAIPI k-space trajectory presents an efficient sampling strategy for accelerated MR acquisitions. Using wave-CAIPI in parallel imaging reconstructions leads to a reduced noise level in the reconstructed images, compared to the Cartesian standard trajectory. This effect could be quantified by means of noise and SNR calculations. An SNR gain can be traded for a reduced scan time, i.e., additional undersampling, or for an enhanced image quality, keeping scan time constant.
Acceleration of MR imaging is especially important in dynamic applications, since these examinations are inherently time-consuming. The impact of wave-CAIPI sampling on image quality and its potential for scan time reduction was investigated for two dynamic applications: self-gated dynamic 3D lung MRI during free breathing and cardiac 4D flow MRI.
Dynamic 3D Lung MRI
By employing wave-CAIPI sampling in self-gated, free-breathing dynamic 3D lung MRI for the purpose of radiotherapy treatment planning, the image quality of accelerated scans could be enhanced. Volunteer examinations were used to quantify image quality by means of similarity between accelerated and reference images. To this end, the normalized mutual information and the root-mean-square error were chosen as quantitative image similarity measures.
The wave-CAIPI sampling was shown to exhibit superior quality, especially for short scan times. The values of the normalized mutual information were (10.2 +- 7.3)% higher in the wave-CAIPI case -- the root-mean-square error was (18.9 +- 13.2)% lower on average. SNR calculations suggest an average SNR benefit of around 14% for the wave-CAIPI, compared to Cartesian sampling.
Resolution of the lung in 8 breathing states can be achieved in only 2 minutes. By using the wave-CAIPI k-space trajectory, precise tumor delineation and assessment of respiration-induced displacement is facilitated.
Cardiac 4D Flow MRI
In 4D flow MRI, acceleration of the image acquisition is essential to incorporate the corresponding scan protocols into clinical routine. In this work, a retrospective 6-fold acceleration of the image acquisition was realized. Cartesian and wave-CAIPI 4D flow examinations of healthy volunteers were used to quantify uncertainties in flow parameters for the respective sampling schemes.
By employing wave-CAIPI sampling, the estimated errors in flow parameters in 6-fold accelerated scans could be reduced by up to 55%. Noise calculations showed that the noise level in 6-fold accelerated 4D flow acquisitions with wave-CAIPI is 43% lower, compared to Cartesian sampling. Comparisons between Cartesian and wave-CAIPI 4D flow examinations with a prospective acceleration factor R=2 revealed small, but partly statistically significant discrepancies. Differences between 2-fold and 6-fold accelerated wave-CAIPI scans are comparable to the differences between Cartesian and wave-CAIPI examinations at R=2.
Wave-CAIPI 4D flow acquisitions of the aorta could be performed with an average, simulated scan time of under 4 minutes, with reduced uncertainties in flow parameters. Important visualizations of hemodynamic flow patterns in the aorta were only slightly affected by undersampling in the wave-CAIPI case, whereas for Cartesian sampling, considerable discrepancies were observed.
Water transport through the water channels, aquaporins (AQPs), is involved in epithelial fluid secretion and absorption, cell migration, brain edema, adipocyte metabolism, and other physiological or pathological functions. Modulation of AQP function has therapeutic potential in edema, cancer, obesity, brain injury, glaucoma, etc. The function of AQPs is in response to the osmotic gradient that is formed by the concentration differences of ions or small molecules. In terms of brain edema, it is a pathophysiological condition, resulting from dysfunction of the plasma membrane that causes a disorder of intracellular ion homeostasis and thus increases intracellular fluid content. Optogenetics can be used to regulate ion transport easily by light with temporal and spatial precision. Therefore, if we control the cell ion influx, boosting the water transport through AQPs, this will help to investigate the pathological mechanisms in e.g. brain edema. To this end, I investigated the possibility for optogenetic manipulating water transport in Xenopus oocytes. The main ions in Xenopus oocyte cytoplasm are ~10 mM Na+, ~50 mM Cl- and ~100 mM K+, similar to the mammalian cell physiological condition. Three light-gated channels, ChR2-XXM 2.0 (light-gated cation channel), GtACR1 (light-gated anion channel) and SthK-bPAC (light-gated potassium channel), were used in my study to regulate ion transport by light and thus manipulate the osmotic gradient and water transport. To increase water flow, I also used coexpression of AQP1. When expressing ChR2-XXM 2.0 and GtACR1 together, mainly Na+ influx was triggered by ChR2-XXM2.0 under blue light illumination, which then made the membrane potential more positive and facilitated Cl- influx by GtACR1. Due to this inward movement of Na+ and Cl-, the osmotic gradient was formed to trigger water influx through AQP1. Large amounts of water uptake can speedily increase the oocyte volume until membrane rupture. Next, when co-expressing GtACR1 and SthK-bPAC, water efflux will be triggered with blue light because of the light-gated KCl efflux and then oocyte shrinking could be observed.
I also developed an optogenetic protein purification method based on a light-induced protein interactive system. Currently, the most common protein purification method is based on affinity chromatography, which requires different chromatography columns and harsh conditions, such as acidic pH 4.5 - 6 and/or adding imidazole or high salt concentration, to elute and collect the purified proteins. The change in conditions could influence the activity of target proteins. So, an easy and flexible protein purification method based on the photo-induced protein interactive system iLID was designed, which regulates protein binding with light in mild conditions and does not require a change of solution composition. For expression in E. coli, the blue light-sensitive part of iLID, the LOV2 domain, was fused with a membrane anchor and expressed in the plasma membrane, and the other binding partner, SspB, was fused with the protein of interest (POI), expressed in the cytosol. The plasma membrane fraction and the soluble cytosolic fraction of E. coli can be easily separated by centrifugation. The SspB-POI can be then captured to the membrane fraction by light stimulation and released to clean buffer in the dark after washing. This method does not require any specific column and functions in mild conditions, which are very flexible at scale and will facilitate extensive protein engineering and purification of proteins, sensitive to changed buffer conditions.
Chimeric antigen receptor (CAR)-modified T cells targeting FLT3 in acute myeloid leukemia (AML)
(2021)
Adoptive immunotherapy using chimeric antigen receptor (CAR)-modified T cells targeting CD19 has shown remarkable therapeutic efficacy against B cell leukemia and lymphoma, and provided proof of concept for therapeutic potential in other hematologic malignancies. Acute myeloid leukemia (AML) is an entity with an unmet medical need for effective and curative treatments. Therefore, there is a strong desire for development of potentially curative CAR-T cell immunotherapy for AML treatment.
FMS-like tyrosine kinase 3 (FLT3) is a homodimeric transmembrane protein expressed uniformly by AML blasts. FLT3 plays a vital role in the survival of AML blasts and is a key driver of leukemia-genesis in AML cases with internal tandem duplication (FLT3ITD) and tyrosine kinase domain (TKD) mutations. These attributes suggest that FLT3 could be an excellent target for CAR-T cell immunotherapy. Here, we engineered human CD4+ and CD8+ T cells to express FLT3-specific CARs and demonstrate that they confer potent reactivity against AML cell lines and primary AML blasts that express either wild-type FLT3 or FLT3-ITD. Further, we show that FLT3 CAR-T cells exert potent antileukemia activity in xenograft models of AML and induce complete remissions.
We also demonstrate that FLT3-expression on FLT3-ITD+ AML cells can be augmented by FLT3 inhibitors, which lead to increased recognition by CARs and improved efficacy of FLT3 CAR-T cells. We confirmed this principle with three different FLT3 inhibitors which are at distinct stages of clinical development i.e. Phase II/III clinical trial (crenolanib, quizartinib) and clinically approved (midostaurin). Further, we observed the strongest anti-leukemia activity of FLT3 CAR-T cells in combination with crenolanib in vivo.
FLT3 is known to be expressed by normal hematopoietic stem and progenitor cells. We evaluated FLT3-expression on normal hematopoietic stem cells (HSCs) using flow cytometry and confirmed lower level of FLT3-expression on HSCs and progenitors compared to AML cells. As anticipated, we found that FLT3 CAR-T cells recognize normal HSCs in vitro and in vivo, and compromise normal hematopoiesis, suggesting that adoptive therapy with FLT3 CAR-T cells will require successive CAR-T cell depletion and allogeneic HSC transplantation (HSCT) to reconstitute the hematopoietic system. Moreover, an FLT3 inhibitor treatment does not increase FLT3-expression on HSCs. Accordingly, we demonstrate that the depletion of FLT3 CAR-T cells is possible with inducible Caspase 9 (iCasp9) safety switch.
Collectively, our data establish FLT3 as a novel CAR target in AML with particular relevance in high-risk FLT3-ITD+ AML. Our data demonstrate that FLT3 CAR-T cells act synergistically with FLT3 inhibitors in FLT3-ITD+ AML. i.e. FLT3 inhibitors-induced upregulation of FLT3 in FLT3-ITD+ AML cells enhances their recognition and elimination by FLT3 CAR-T cells. Due to recognition of normal HSCs, the clinical use of FLT3 CART cells is likely restricted to a defined therapeutic window and must be followed by CART cell depletion and allogeneic HSCT for hematopoietic reconstitution. The data provide rational to use FLT3 CAR-T cells in combination with FLT3 inhibitors to augment the anti-leukemia efficacy of FLT3 CAR-T cells in high-risk FLT3-ITD+ AML patients, and to mitigate the risk of relapse with FLT3-negative AML variants, which could otherwise develop under therapeutic pressure. The data provide proof of concept for synergistic use of CAR-T cell immunotherapy and small molecule targeted therapy and encourage the clinical evaluation of this combination treatment in high-risk patients with FLT3-ITD+ AML.
The human pathogen Chlamydia trachomatis is the main cause of sexually transmitted infections worldwide. The obligate intracellular bacteria are the causative agent of several diseases that reach from conjunctivitis causing trachoma and blindness as well as salpingitis and urethritis which can lead to infertility if left untreated.
In order to gain genetically engineered Chlamydia that inducible knock down specific gene expression, the CRISPRi system was established in C. trachomatis. In a proof of principle experiment it was shown that C. trachomatis pCRISPRi:gCdu1III target ChlaDUB1 expression and reduce the protein amount up to 50 %. Knock-down of the DUB did not influence protein levels of anti-apoptotic Mcl-1 and did not make cells susceptible for apoptosis. However, reduced dCas9 protein size, bacterial growth impairment and off target effects interfering with the GFP signal, form obstacles in CRISPRi system in Chlamydia. For routinely use of the CRISPRi method in C. trachomatis further investigation is needed.
Since the bacterial life cycle includes two morphological and functional distinct forms, it is essential for chlamydial spread to complete the development cycle and form infectious progeny. Therefore, Chlamydia has evolved strategies to evade the host immune system in order to stay undetected throughout the developmental cycle. The bacteria prevent host cell apoptosis via stabilization of anti-apoptotic proteins like Mcl-1, Survivin and HIF-1α and activate pro-survival pathways, inhibiting invasion of immune cells to the site of infection. The host cell itself can destroy intruders via cell specific defense systems that involve autophagy and recruitment of professional immune cells. In this thesis the role of the chlamydial deubiuqitinase ChlaDUB1 upon immune evasion was elucidated. With the mutant strain Ctr Tn-cdu1 that encodes for a truncated DUB due to transposon insertion, it was possible to identify ChlaDUB1 as a potent opponent of the autophagic system. Mutant inclusions were targeted by K48 and K63 chain ubiquitination. Subsequently the inclusion was recognized by autophagic receptors like p62, NBR1 and NDP52 that was reversed again by complementation with the active DUB. Xenophagy was promoted so far as LC3 positive phagosomes formed around the inclusion of Ctr Tn-cdu1, which did not fuse with the lysosome. The detected growth defect in human primary cells of Chlamydia missing the active DUB was not traced back to autophagy, but was due to impaired development and replication. It was possible to identify Ankib1, the E3 ligase, that ubiquitinates the chlamydial inclusion in a siRNA based screen. The activating enzyme Ube1 and the conjugating enzyme Ube2L3 are also essential in this process. Chlamydia have a reduced genome and depend on lipids and nutrients that are translocated from the host cell to the inclusion to proliferate. Recruitment of fragmented Golgi stacks to the inclusion surface was prevented when ChlaDUB1 was inactive, probably causing diminished bacterial growth. Additionally, the modification of the inclusion by Ankib1 and subsequent decoration by autophagic markers was not only present in human but also murine cells. Comparison of other Chlamydia strains and species revealed Ankib1 to be located at the proximity of the inclusion in C. trachomatis strains only but not in C. muridarum or C. pneumoniae, indicating that Ankib1 is specifically the E3 ligase of C. trachomatis. Moreover, the role of ChlaDUB1 in infected tissue was of interest, since ChlaDUB1 protein was also found in early EB stage and so might get in contact with invading immune cells after cell lysis. While bacteria spread and infect new host cells, Chlamydia can also infect immune cells. Infection of human neutrophils with Ctr Tn-cdu1 shows less bacterial survival and affirms the importance of the DUB for bacterial fitness in these cells.
The SNR spectra model and measurement method developed in this work yield reliable application-specific optima for image quality. This optimization can either be used to understand image quality, find out how to build a good imaging device or to (automatically) optimize the parameters of an existing setup.
SNR spectra are here defined as a fraction of power spectra instead of a product of device properties. In combination with the newly developed measurement method for this definition, a close correspondence be- tween theory and measurement is achieved. Prior approaches suffer from a focus on theoretical definitions without fully considering if the defined quantities can be measured correctly. Additionally, discrepancies between assumptions and reality are common.
The new approach is more reliable and complete, but also more difficult to evaluate and interpret. The signal power spectrum in the numerator of this fraction allows to model the image quality of different contrast mechanisms that are used in high-resolution x-ray imaging. Superposition equations derived for signal and noise enable understanding how polychromaticity (or superposition in general) affects the image quality.
For the concept of detection energy weighting, a quantitative model for how it affects im- age quality was found. It was shown that—depending on sample properties—not detecting x-ray photons can increase image quality. For optimal computational energy weighting, more general formula for the optimal weight was found. In addition to the signal strength, it includes noise and modulation transfer.
The novel method for measuring SNR spectra makes it possible to experimentally optimize image quality for different contrast mechanisms. This method uses one simple measurement to obtain a measure for im- age quality for a specific experimental setup. Comparable measurement methods typically require at least three more complex measurements, where the combination may then give a false result. SNR spectra measurements can be used to:
• Test theoretical predictions about image quality optima.
• Optimize image quality for a specific application.
• Find new mechanisms to improve image quality.
The last item reveals an important limitation of x- ray imaging in general: The achievable image quality is limited by the amount of x-ray photons interacting with the sample, not by the amount incident per detector area (see section 3.6). If the rest of the imaging geometry is fixed, moving the detector only changes the field of view, not the image quality. A practical consequence is that moving the sample closer to the x-ray source increases image quality quadratically.
The results of a SNR spectra measurement represent the image quality only on a relative scale, but very reliable. This relative scale is sufficient for an optimization problem. Physical effects are often already clearly identifiable by the shape of the functional relationship between input parameter and measurement result.
SNR spectra as a quantity are not well suited for standardization, but instead allow a reliable optimization. Not satisfying the requirements of standardization allows to use methods which have other advantages. In this case, the SNR spectra method describes the image quality for a specific application. Consequently, additional physical effects can be taken into account. Additionally, the measurement method can be used to automate the setting of optimal machine parameters.
The newly proposed image quality measure detection effectiveness is better suited for standardization or setup comparison. This quantity is very similar to measures from other publications (e.g. CNR(u)), when interpreted monochromatically. Polychromatic effects can only be modeled fully by the DE(u). The measurement processes of both are different and the DE(u) is fundamentally more reliable.
Information technology and digital data processing make it possible to determine SNR spectra from a mea- sured image series. This measurement process was designed from the ground up to use these technical capabilities. Often, information technology is only used to make processes easier and more exact. Here, the whole measurement method would be infeasible without it. As this example shows, using the capabilities of digital data processing much more extensively opens many new possibilities. Information technology can be used to extract information from measured data in ways that analog data processing simply cannot.
The original purpose of the SNR spectra optimization theory and methods was to optimize high resolution x-ray imaging only. During the course of this work, it has become clear that some of the results of this work affect x-ray imaging in general. In the future, these results could be applied to MI and NDT x-ray imaging. Future work on the same topic will also need to consider the relationship between SNR spectra or DE(u) and sufficient image quality.This question is about the minimal image quality required for a specific measurement task.
Acute graft-versus-host disease (aGvHD) is a severe and often life-threatening complication of allogeneic hematopoietic cell transplantation (allo-HCT). AGvHD is mediated by alloreactive donor T-cells targeting predominantly the gastrointestinal tract, liver, and skin. Recent work in mice and patients undergoing allo-HCT showed that alloreactive T-cells can be identified by the expression of α4β7 integrin on T-cells even before manifestation of an aGvHD. Here, we investigated whether the detection of a combination of the expression of T-cell surface markers on peripheral blood (PB) CD8\(^+\) T-cells would improve the ability to predict aGvHD. To this end, we employed two independent preclinical models of minor histocompatibility antigen mismatched allo-HCT following myeloablative conditioning. Expression profiles of integrins, selectins, chemokine receptors, and activation markers of PB donor T-cells were measured with multiparameter flow cytometry at multiple time points before the onset of clinical aGvHD symptoms. In both allo-HCT models, we demonstrated a significant upregulation of α4β7 integrin, CD162E, CD162P, and conversely, a downregulation of CD62L on donor T-cells, which could be correlated with the development of aGvHD. Other surface markers, such as CD25, CD69, and CC-chemokine receptors were not found to be predictive markers. Based on these preclinical data from mouse models, we propose a surface marker panel on peripheral blood T-cells after allo-HCT combining α4β7 integrin with CD62L, CD162E, and CD162P (cutaneous lymphocyte antigens, CLA, in humans) to identify patients at risk for developing aGvHD early after allo-HCT.
The integrity of its DNA is fundamental for every living cell. However, DNA is constantly threatened by exogenous and endogenous damaging agents that can cause a variety of different DNA lesions. The severe consequences of an accumulation of DNA lesions are reflected in cancerogenesis and aging. Several DNA repair mechanisms ensure the repair of DNA lesions and thus maintain DNA integrity. One of these DNA repair mechanisms is nucleotide excision repair (NER), which is famous for its ability to address a large variety of structurally unrelated DNA lesions. A key component of eukaryotic NER is the transcription factor II H (TFIIH) complex, which is not only essential for DNA repair but also for transcription. The TFIIH complex is composed of ten subunits. How these subunits work together during NER to unwind the DNA around the lesion is, however, not yet fully understood. High-resolution structural data and biochemical insights into the function of every subunit are thus indispensable to understand the functional networks within TFIIH. The importance of an intact TFIIH complex is reflected in the severe consequences of patient mutations in the TFIIH subunits XPB, XPD or p8 leading to the hallmark diseases xeroderma pigmentosum, Cockayne syndrome and trichothiodystrophy. Defects in the NER pathway are further associated with several types of cancer including skin cancer.
The herein described work focused on five TFIIH subunits derived from the thermophilic fungus Chaetomium thermophilum, the p34/p44 pair and the ternary XPB/p52/p8 complex. The interaction between p34 and p44 was characterized based on a high-resolution structure of the p34_vWA/p44_RING minimal complex. Biochemical studies of the p34/p44 interaction led to the disclosure of an additional interaction between the p34 and p44 subunits, which had not been characterized so far. The p34/p44 interaction was shown to be central to TFIIH, which justifies the presence of several redundant interfaces to safeguard the interaction between the two proteins and might explain why so far, no patient mutations in these subunits have been identified. The p52 subunit of TFIIH was known to be crucial to stimulate the ATPase activity of XPB, which is required during NER. This work presents the first entire atomic resolution structural characterization of p52, which was derived of several crystal structures of p52 variants and a p52/p8 variant thereby demonstrating the interaction between p52 and p8. The precise structural model of p52 offered the possibility to investigate interactions with other TFIIH subunits in more detail. The middle domain 2 of p52 and the N-terminal domain of XPB were shown to mediate the main interaction between the two subunits. An analysis of the p52 crystal structures within recently published cryo-electron microscopy structures of TFIIH provides a model of how p52 and p8 stimulate the ATPase activity of XPB, which is essential for NER and transcription. The structural and biochemical findings of this work provide an additional building block towards the uncovering of the architecture and function of this essential transcription factor.
The Princes’ War in South Germany (1458-1463) was the biggest military collision in the German lands in the middle of the fifteenth century. The most prominent princes of southern Germany participated in this struggle.
Due to its significant scope, this conflict provides a valuable case study for achieving a better understanding of the conditions at the heart of the Holy Roman Empire at the sunset of the Middle Ages. The purpose of this study was to fill an existing gap in the modern research literature and provide a comprehensive up-to date monograph on the subject.
The study was realized mainly on the basis of archival work and primary sources. Thousands of letters and documents exchanged between the princes, their advisors and the city representatives were carefully studied and analysed. Extensive use of printed sources as well as scientific literature also greatly facilitated this research.
The first part of the dissertation provides a detailed description of the war itself and the events that led to it. In the initial phase of the struggle, Albrecht Achilles used his position as the imperial captain to advance his own interests. His actions enraged both Duke Ludwig and Elector Friedrich and made the war unavoidable. For more than two years two major coalitions of princes exchanged blows but as the dust settled the status quo ante bellum was restored in the eastern theatre of actions, while at the western front Elector Friedrich forced each of his opponents to make serious concessions.
The second part of the dissertation is devoted to honor and reputation. It explores how these two constituents affected the actions and decision-making of the princes. The lack of a powerful arbiter allowed each of the princes to interpret the meaning of “right” and “justice” as most suited him, although they hardly intentionally misused these terms. Thus, more often than not, the important actors seemed to believe in the appropriateness of their deeds. Nevertheless, despite frequent emotional response, in the competition between emotions and cold calculation the latter usually prevailed.
The conflict showed the confines of each of its major participants and the modus operandi of the Empire that prevented change and was tuned to keep the old order of things.
In the present thesis we investigate algebraic and arithmetic properties of graph spectra. In particular, we study the algebraic degree of a graph, that is the dimension of the splitting field of the characteristic polynomial of the associated adjacency matrix over the rationals, and examine the question whether there is a relation between the algebraic degree of a graph and its structural properties. This generalizes the yet open question ``Which graphs have integral spectra?'' stated by Harary and Schwenk in 1974.
We provide an overview of graph products since they are useful to study graph spectra and, in particular, to construct families of integral graphs. Moreover, we present a relation between the diameter, the maximum vertex degree and the algebraic degree of a graph, and construct a potential family of graphs of maximum algebraic degree.
Furthermore, we determine precisely the algebraic degree of circulant graphs and find new criteria for isospectrality of circulant graphs. Moreover, we solve the inverse Galois problem for circulant graphs showing that every finite abelian extension of the rationals is the splitting field of some circulant graph. Those results generalize a theorem of So who characterized all integral circulant graphs. For our proofs we exploit the theory of Schur rings which was already used in order to solve the isomorphism problem for circulant graphs.
Besides that, we study spectra of zero-divisor graphs over finite commutative rings.
Given a ring \(R\), the zero-divisor graph over \(R\) is defined as the graph with vertex set being the set of non-zero zero-divisors of \(R\) where two vertices \(x,y\) are adjacent if and only if \(xy=0\). We investigate relations between the eigenvalues of a zero-divisor graph, its structural properties and the algebraic properties of the respective ring.
ERK1/2 are known key players in the pathophysiology of heart failure, but the members of the ERK cascade, in particular Raf1, can also protect the heart from cell death and ischemic injury. An additional autophosphorylation (ERK1 at Thr208, ERK2 at Thr188) empowers ERK1/2 translocation to the nucleus and phosphorylation of nuclear targets which take part in the development of cardiac hypertrophy. Thereby, targeting this additional phosphorylation is a promising pharmacological approach.
In this thesis, an in silico model of ERK cascade in the cardiomyocyte is introduced. The model is a semi-quantitive model and its behavior was tested with different softwares (SQUAD and CellNetAnalyzer). Different phosphorylation states of ERK1/2 as well as different stimuli can be reproduced. The different types of stimuli include hypertrophic as well as non-hypertrophic stimuli. With the introduced in-silico model time courses and synergistic as well as antagonistic receptor stimuli combinations can be predicted. The simulated time courses were experimentally validated. SQUAD was mainly used to make predictions about time courses and thresholds, whereas CNA was used to analyze steady states and feedback loops.
Furthermore, new targets of ERK1/2 which partially contribute, also in the formation of cardiac hypertrophy, were identified and the most promising of them were illuminated. Important further targets are Caspase 8, GAB2, Mxi-2, SMAD2, FHL2 and SPIN90.
Cardiomyocyte gene expression data sets were analyzed to verify involved components and to find further significantly altered genes after induced hypertrophy with TAC (transverse aortic constriction). Changes in the ultrastructure of the cardiomyocyte are the final result of induced hypertrophy.
Within this PhD thesis, chromophore-bridged biradicals were synthesised and their properties characterised. Therefore, it was necessary to develop novel synthetic procedures and implement several experimental characterisation methods. In summary, within this thesis the scope of pigment chromophore phenoxyl radical decoration was further explored and expanded to IIn as well as DPP colourants. HOMA analysis highlighted the importance of aromaticity in order to understand the spin crossover from heteroaromatic quinoidal to aromatic open shell DPPs. Finally, PBI, IIn and DPP biradicals were advanced towards stable materials by introduction of nitronyl nitroxide radical centres.
Data as the new driver for growth? European and Chinese perspectives on the new factor of production
(2021)
Amidst an emerging international systemic competition between China and the Western world, China’s sustained high economic growth rates, technological innovations and successful control of the corona pandemic have raised doubts over the West’s systemic capabilities. In this context, data resources and regimes play an increasing role.
This research note looks at data as present and future driver of innovation and economic growth in more detail. It compares the Chinese and the European perspective on data as well as their respective (planned) policy measures in order to draw tentative conclusions about their different approaches' implications.
With the exception of a few signaling incompetent decoy receptors, the receptors of the tumor necrosis factor receptor superfamily (TNFRSF) are signaling competent and engage in signaling pathways resulting in inflammation, proliferation, differentiation, and cell migration and also in cell death induction. TNFRSF receptors (TNFRs) become activated by ligands of the TNF superfamily (TNFSF). TNFSF ligands (TNFLs) occur as trimeric type II transmembrane proteins but often also as soluble ligand trimers released from the membrane-bound form by proteolysis. The signaling competent TNFRs are efficiently activated by the membrane-bound TNFLs. The latter recruit three TNFR molecules, but there is growing evidence that this is not sufficient to trigger all aspects of TNFR signaling; rather, the formed trimeric TNFL–TNFR complexes have to cluster secondarily in the cell-to-cell contact zone for full TNFR activation. With respect to their response to soluble ligand trimers, the signaling competent TNFRs can be subdivided into two groups. TNFRs of one group, designated as category I TNFRs, are robustly activated by soluble ligand trimers. The receptors of a second group (category II TNFRs), however, failed to become properly activated by soluble ligand trimers despite high affinity binding. The limited responsiveness of category II TNFRs to soluble TNFLs can be overcome by physical linkage of two or more soluble ligand trimers or, alternatively, by anchoring the soluble ligand molecules to the cell surface or extracellular matrix. This suggests that category II TNFRs have a limited ability to promote clustering of trimeric TNFL–TNFR complexes outside the context of cell–cell contacts. In this review, we will focus on three aspects on the relevance of receptor oligomerization for TNFR signaling: (i) the structural factors which promote clustering of free and liganded TNFRs, (ii) the signaling pathway specificity of the receptor oligomerization requirement, and (iii) the consequences for the design and development of TNFR agonists.
The human pathogen Bordetella pertussis targets the respiratory epithelium and causes whooping cough. Its virulence factor adenylate cyclase toxin (CyaA) plays an important role in the course of infection. Previous studies on the impact of CyaA on human epithelial cells have been carried out using cell lines derived from the airways or the intestinal tract. Here, we investigated the interaction of CyaA and its enzymatically inactive but fully pore-forming toxoid CyaA-AC– with primary human airway epithelial cells (hAEC) derived from different anatomical sites (nose and tracheo-bronchial region) in two-dimensional culture conditions. To assess possible differences between the response of primary hAEC and respiratory cell lines directly, we included HBEC3-KT in our studies. In comparative analyses, we studied the impact of both the toxin and the toxoid on cell viability, intracellular cAMP concentration and IL-6 secretion. We found that the selected hAEC, which lack CD11b, were differentially susceptible to both CyaA and CyaA-AC–. HBEC3-KT appeared not to be suitable for subsequent analyses. Since the nasal epithelium first gets in contact with airborne pathogens, we further studied the effect of CyaA and its toxoid on the innate immunity of three-dimensional tissue models of the human nasal mucosa. The present study reveals first insights in toxin–cell interaction using primary hAEC.
Bark beetles (sensu lato) colonize woody tissues like phloem or xylem and are associated with a broad range of micro-organisms. Specific fungi in the ascomycete orders Hypocreales, Microascales and Ophistomatales as well as the basidiomycete Russulales have been found to be of high importance for successful tree colonization and reproduction in many species. While fungal mutualisms are facultative for most phloem-colonizing bark beetles (sensu stricto), xylem-colonizing ambrosia beetles are long known to obligatorily depend on mutualistic fungi for nutrition of adults and larvae. Recently, a defensive role of fungal mutualists for their ambrosia beetle hosts was revealed: Few tested mutualists outcompeted other beetle-antagonistic fungi by their ability to produce, detoxify and metabolize ethanol, which is naturally occurring in stressed and/or dying trees that many ambrosia beetle species preferentially colonize. Here, we aim to test (i) how widespread beneficial effects of ethanol are among the independently evolved lineages of ambrosia beetle fungal mutualists and (ii) whether it is also present in common fungal symbionts of two bark beetle species (Ips typographus, Dendroctonus ponderosae) and some general fungal antagonists of bark and ambrosia beetle species. The majority of mutualistic ambrosia beetle fungi tested benefited (or at least were not harmed) by the presence of ethanol in terms of growth parameters (e.g., biomass), whereas fungal antagonists were inhibited. This confirms the competitive advantage of nutritional mutualists in the beetle’s preferred, ethanol-containing host material. Even though most bark beetle fungi are found in the same phylogenetic lineages and ancestral to the ambrosia beetle (sensu stricto) fungi, most of them were highly negatively affected by ethanol and only a nutritional mutualist of Dendroctonus ponderosae benefited, however. This suggests that ethanol tolerance is a derived trait in nutritional fungal mutualists, particularly in ambrosia beetles that show cooperative farming of their fungi.
Myeloid-derived suppressor cells (MDSCs) represent a major population controlling T cell immune responses. However, little is known about their molecular requirements for homing and T cell interaction to mediate suppression. Here, we investigated the functional role of the homing and collagen IV receptor VLA-1 (α1β1-integrin) on in vitro GM-CSF generated murine MDSCs from wild-type (WT) and CD49a/α1-integrin (Itga1\(^{−/−}\)) gene-deficient mice. Here, we found that effector (Teff) but not naive (Tn) CD4\(^+\) T cells express VLA-1 and monocytes further up-regulated their expression after culture in GM-CSF when they differentiated into the monocytic subset of resting MDSCs (R-MDSCs). Subsequent activation of R-MDSCs by LPS+IFN-γ (A-MDSCs) showed increased in vitro suppressor potential, which was independent of VLA-1. Surprisingly, VLA-1 deficiency did not influence A-MDSC motility or migration on collagen IV in vitro. However, interaction times of Itga1\(^{−/−}\) A-MDSCs with Teff were shorter than with WT A-MDSCs on collagen IV but not on fibronectin substrate in vitro. After injection, A-MDSCs homed to the splenic red pulp where they co-localized with Teff and showed immediate suppression already after 6 h as shown by inhibition of T cell proliferation and induction of apoptosis. Injection of A-MDSCs from Itga1\(^{−/−}\) mice showed equivalent homing into the spleen but a reduced suppressive effect. Interaction studies of A-MDSCs with Teff in the subcapsular red pulp with intravital two-photon microscopy revealed also here that MDSC motility and migration parameters were not altered by VLA-1 deficiency, but the interaction times with Teff were reduced. Together, our data point to a new role of VLA-1 adhesion to collagen IV as a prerequisite for extended contact times with Teff required for suppression.
Sex determination (SD) is a highly diverse and complex mechanism. In vertebrates, one of the first morphological differences between the sexes is the timing of initiation of the first meiosis, where its initiation occurs first in female and later in male. Thus, SD is intimately related to the responsiveness of the germ cells to undergo meiosis in a sex-specific manner. In some vertebrates, it has been reported that the timing for meiosis entry would be under control of retinoic acid (RA), through activation of Stra8. In this study, we used a fish model species for sex determination and lacking the stra8 gene, the Japanese medaka (Oryzias latipes), to investigate the connection between RA and the sex determination pathway. Exogenous RA treatments act as a stress factor inhibiting germ cell differentiation probably by activation of dmrt1a and amh. Disruption of the RA degrading enzyme gene cyp26a1 induced precocious meiosis and oogenesis in embryos/hatchlings of female and even some males. Transcriptome analyzes of cyp26a1–/–adult gonads revealed upregulation of genes related to germ cell differentiation and meiosis, in both ovaries and testes. Our findings show that germ cells respond to RA in a stra8 independent model species. The responsiveness to RA is conferred by sex-related genes, restricting its action to the sex differentiation period in both sexes.
Activity of Tracheal Cytotoxin of Bordetella pertussis in a Human Tracheobronchial 3D Tissue Model
(2021)
Bordetella pertussis is a highly contagious pathogen which causes whooping cough in humans. A major pathophysiology of infection is the extrusion of ciliated cells and subsequent disruption of the respiratory mucosa. Tracheal cytotoxin (TCT) is the only virulence factor produced by B. pertussis that has been able to recapitulate this pathology in animal models. This pathophysiology is well characterized in a hamster tracheal model, but human data are lacking due to scarcity of donor material. We assessed the impact of TCT and lipopolysaccharide (LPS) on the functional integrity of the human airway mucosa by using in vitro airway mucosa models developed by co-culturing human tracheobronchial epithelial cells and human tracheobronchial fibroblasts on porcine small intestinal submucosa scaffold under airlift conditions. TCT and LPS either alone and in combination induced blebbing and necrosis of the ciliated epithelia. TCT and LPS induced loss of ciliated epithelial cells and hyper-mucus production which interfered with mucociliary clearance. In addition, the toxins had a disruptive effect on the tight junction organization, significantly reduced transepithelial electrical resistance and increased FITC-Dextran permeability after toxin incubation. In summary, the results indicate that TCT collaborates with LPS to induce the disruption of the human airway mucosa as reported for the hamster tracheal model.
The incidence of musculoskeletal diseases is steadily increasing with aging of the population. In the past years, extracellular vesicles (EVs) have gained attention in musculoskeletal research. EVs have been associated with various musculoskeletal pathologies as well as suggested as treatment option. EVs play a pivotal role in communication between cells and their environment. Thereby, the EV cargo is highly dependent on their cellular origin. In this review, we summarize putative mechanisms by which EVs can contribute to musculoskeletal tissue homeostasis, regeneration and disease, in particular matrix remodeling and mineralization, pro-angiogenic effects and immunomodulatory activities. Mesenchymal stromal cells (MSCs) present the most frequently used cell source for EV generation for musculoskeletal applications, and herein we discuss how the MSC phenotype can influence the cargo and thus the regenerative potential of EVs. Induced pluripotent stem cell-derived mesenchymal progenitor cells (iMPs) may overcome current limitations of MSCs, and iMP-derived EVs are discussed as an alternative strategy. In the last part of the article, we focus on therapeutic applications of EVs and discuss both practical considerations for EV production and the current state of EV-based therapies.
Background
Combination therapies of anorectic gut hormones partially mimic the beneficial effects of bariatric surgery. Thus far, the effects of a combined chronic systemic administration of Glucagon-like peptide-1 (GLP-1) and peptide tyrosine tyrosine 3-36 (PYY\(_{3-36}\)) have not been directly compared to Roux-en-Y gastric bypass (RYGB) in a standardized experimental setting.
Methods
High-fat diet (HFD)-induced obese male Wistar rats were randomized into six treatment groups: (1) RYGB, (2) sham-operation (shams), (3) liraglutide, (4) PYY\(_{3-36}\), (5) PYY\(_{3-36}\)+liraglutide (6), saline. Animals were kept on a free choice high- and low-fat diet. Food intake, preference, and body weight were measured daily for 4 weeks. Open field (OP) and elevated plus maze (EPM) tests were performed.
Results
RYGB reduced food intake and achieved sustained weight loss. Combined PYY\(_{3-36}\)+liraglutide treatment led to similar and plateaued weight loss compared to RYGB. Combined PYY\(_{3-36}\)+liraglutide treatment was superior to PYY\(_{3-36}\) (p ≤ 0.0001) and liraglutide (p ≤ 0.05 or p ≤ 0.01) mono-therapy. PYY\(_{3-36}\)+liraglutide treatment and RYGB also reduced overall food intake and (less pronounced) high-fat preference compared to controls. The animals showed no signs of abnormal behavior in OF or EPM.
Conclusions
Liraglutide and PYY\(_{3-36}\) combination therapy vastly mimics reduced food intake, food choice and weight reducing benefits of RYGB.
Within the lipidome oxidized phospholipids (OxPL) form a class of chemically highly reactive metabolites. OxPL are acutely produced in inflamed tissue and act as endogenous, proalgesic (pain-inducing) metabolites. They excite sensory, nociceptive neurons by activating transient receptor potential ion channels, specifically TRPA1 and TRPV1. Under inflammatory conditions, OxPL-mediated receptor potentials even potentiate the action potential firing rate of nociceptors. Targeting OxPL with D-4F, an apolipoprotein A-I mimetic peptide or antibodies like E06, specifically binding oxidized headgroups of phospholipids, can be used to control acute, inflammatory pain syndromes, at least in rodents. With a focus on proalgesic specificities of OxPL, this article discusses, how targeting defined substances of the epilipidome can contribute to mechanism-based therapies against primary and secondary chronic inflammatory or possibly also neuropathic pain.
We explore a cosmology where the Big Bang singularity is replaced by a condensation event of interacting strings. We study the transition from an uncontrolled, chaotic soup (“before”) to a clearly interacting “real world”. Cosmological inflation scenarios do not fit current observations and are avoided. Instead, long-range interactions inside this crystallization event limit growth and crystal symmetries ensure the same laws of nature and basic symmetries over our domain. Tiny mis-arrangements present nuclei of superclusters and galaxies and crystal structure leads to the arrangement of dark (halo regions) and normal matter (galaxy nuclei) so convenient for galaxy formation. Crystals come and go, allowing an evolutionary cosmology where entropic forces from the quantum soup “outside” of the crystal try to dissolve it. These would correspond to dark energy and leads to a big rip scenario in 70 Gy. Preference of crystals with optimal growth and most condensation nuclei for the next generation of crystals may select for multiple self-organizing processes within the crystal, explaining “fine-tuning” of the local “laws of nature” (the symmetry relations formed within the crystal, its “unit cell”) to be particular favorable for self-organizing processes including life or even conscious observers in our universe.
Independent of cosmology, a crystallization event may explain quantum-decoherence in general: The fact, that in our macroscopic everyday world we only see one reality. This contrasts strongly with the quantum world where you have coherence, a superposition of all quantum states. We suggest that a “real world” (so our everyday macroscopic world) happens only in our domain, i.e. inside a crystal. “Outside” of our domain and our observable universe there is the quantum soup of boiling quantum foam and superposition of all possibilities. In our crystallized world the vacuum no longer boils but is cooled down by the crystallization event and hence is 10**20 smaller, exactly as observed in our everyday world. As we live in a “solid” state, within a crystal, the different quanta which build our world have all their different states nicely separated. This theory postulates there are only n quanta and m states available for them (there is no Everett-like ever splitting multiverse after each decision). In the solid state we live in, there is decoherence, the states are nicely separated. The arrow of entropy for each edge of the crystal forms one fate, one worldline or clear development of a world, while the layers of the crystal are different system states.
Some mathematical leads from loop quantum gravity point to required interactions and potentials. A complete mathematical treatment of this unified theory is far too demanding currently. Interaction potentials for strings or membranes of any dimension allow a solid state of quanta, so allowing decoherence in our observed world are challenging to calculate. However, if we introduce here the heuristic that any type of physical interaction of strings corresponds just to a type of calculation, there is already since 1898 the Hurwitz theorem showing that then only 1D, 2D, 4D and 8D (octonions) allow complex or hypercomplex number calculations. No other hypercomplex numbers and hence dimensions or symmetries are possible to allow calculations without yielding divisions by zero. However, the richest solution allowed by the Hurwitz theorem, octonions, is actually the observed symmetry of our universe, E8.
Objective: Substantia nigra hyperechogenicity is found in children with attention- deficit hyperactivity disorder (ADHD). Research with transcranial sonography (TCS) in adults suggests that echogenic alterations are linked to subclinical behavioral deficits and that brain iron homeostasis is involved in the signal genesis. The purpose of this study was to explore substantia nigra echogenicity in healthy children, to assess age-related changes and to investigate whether echogenic signals relate to subclinical alterations in behavior. Furthermore, associations of central nigral neuromelanin measures and peripheral serum iron parameters to echogenic signals of the substantia nigra were evaluated. Methods: In a multimodal study design, neuroimaging of the substantia nigra was conducted with TCS and neuromelanin-sensitive magnetic resonance imaging (MRI) in 28 healthy children (8 − 12 years). Correlations and multiple regression analyses determined associations between the neuroimaging methods, behavioral data from Strength and Difficulties Questionnaire (SDQ) and serum iron-related parameters. Results: Substantia nigra echogenicity correlated inversely with hyperactivity ratings in healthy, non-ADHD children (r = −.602, p = .001). Echogenic sizes did not change as a function of age. Neuromelanin-sensitive MRI measures of the substantia nigra and peripheral serum iron parameters were not associated with nigral TCS signals. Conclusion: In healthy children behavioral differences in hyperactive tendencies are associated with differences in substantia nigra echogenicity. This could help to identify those children who are at risk of subclinical ADHD.
Manifestations of aggressive driving, such as tailgating, speeding, or swearing, are not trivial offenses but are serious problems with hazardous consequences—for the offender as well as the target of aggression. Aggression on the road erases the joy of driving, affects heart health, causes traffic jams, and increases the risk of traffic accidents. This work is aimed at developing a technology-driven solution to mitigate aggressive driving according to the principles of Persuasive Technology. Persuasive Technology is a scientific field dealing with computerized software or information systems that are designed to reinforce, change, or shape attitudes, behaviors, or both without using coercion or deception.
Against this background, the Driving Feedback Avatar (DFA) was developed through this work. The system is a visual in-car interface that provides the driver with feedback on aggressive driving. The main element is an abstract avatar displayed in the vehicle. The feedback is transmitted through the emotional state of this avatar, i.e., if the driver behaves aggressively, the avatar becomes increasingly angry (negative feedback). If no aggressive action occurs, the avatar is more relaxed (positive feedback). In addition, directly after an aggressive action is recognized by the system, the display is flashing briefly to give the driver an instant feedback on his action.
Five empirical studies were carried out as part of the human-centered design process of the DFA. They were aimed at understanding the user and the use context of the future system, ideating system ideas, and evaluating a system prototype. The initial research question was about the triggers of aggressive driving. In a driver study on a public road, 34 participants reported their emotions and their triggers while they were driving (study 1). The second research question asked for interventions to cope with aggression in everyday life. For this purpose, 15 experts dealing with the treatment of aggressive individuals were interviewed (study 2). In total, 75 triggers of aggressive driving and 34 anti-aggression interventions were identified. Inspired by these findings, 108 participants generated more than 100 ideas of how to mitigate aggressive driving using technology in a series of ideation workshops (study 3). Based on these ideas, the concept of the DFA was elaborated on. In an online survey, the concept was evaluated by 1,047 German respondents to get a first assessment of its perception (study 4). Later on, the DFA was implemented into a prototype and evaluated in an experimental driving study with 32 participants, focusing on the system’s effectiveness (study 5). The DFA had only weak and, in part, unexpected effects on aggressive driving that require a deeper discussion.
With the DFA, this work has shown that there is room to change aggressive driving through Persuasive Technology. However, this is a very sensitive issue with special requirements regarding the design of avatar-based feedback systems in the context of aggressive driving. Moreover, this work makes a significant contribution through the number of empirical insights gained on the problem of aggressive driving and wants to encourage future research and design activities in this regard.
The development of cellular life on earth is coupled to the formation of lipid-based biological membranes. Although many tools to analyze their biophysical properties already exist, their variety and number is still relatively small compared to the field of protein studies. One reason for this, is their small size and complex assembly into an asymmetric tightly packed lipid bilayer showing characteristics of a two-dimensional heterogenous fluid. Since membranes are capable to form dynamic, nanoscopic domains, enriched in sphingolipids and cholesterol, their detailed investigation is limited to techniques which access information below the diffraction limit of light. In this work, I aimed to extend, optimize and compare three different labeling approaches for sphingolipids and their subsequent analysis by the single-molecule localization microscopy (SMLM) technique direct stochastic optical reconstruction microscopy (dSTORM). First, I applied classical immunofluorescence by immunoglobulin G (IgG) antibody labeling to detect and quantify sphingolipid nanodomains in the plasma membrane of eukaryotic cells. I was able to identify and characterize ceramide-rich platforms (CRPs) with a size of ~ 75nm on the basal and apical membrane of different cell lines. Next, I used click-chemistry to characterize sphingolipid analogs in living and fixed cells. By using a combination of fluorescence microscopy and anisotropy experiments, I analyzed their accessibility and configuration in the plasma membrane, respectively. Azide-modified, short fatty acid side chains, were accessible to membrane impermeable dyes and localized outside the hydrophobic membrane core. In contrast, azide moieties at the end of longer fatty acid side chains were less accessible and conjugated dyes localized deeper within the plasma membrane. By introducing photo-crosslinkable diazirine groups or chemically addressable amine groups, I developed methods to improve their immobilization required for dSTORM. Finally, I harnessed the specific binding characteristics of non-toxic shiga toxin B subunits (STxBs) and cholera toxin B subunits (CTxBs) to label and quantify glycosphingolipid nanodomains in the context of Neisseria meningitidis infection. Under pyhsiological conditions, these glycosphingolipids were distributed homogenously in the plasma membrane but upon bacterial infection CTxB detectable gangliosides accumulated around invasive Neisseria meningitidis. I was able to highlight the importance of cell cycle dependent glycosphingolipid expression for the invasion process. Blocking membrane accessible sugar headgroups by pretreatment with CTxB significantly reduced the number of invasive bacteria which confirmed the importance of gangliosides for bacterial uptake into cells. Based on my results, it can be concluded that labeling of sphingolipids should be carefully optimized depending on the research question and applied microscopy technique. In particular, I was able to develop new tools and protocols which enable the characterization of sphingolipid nanodomains by dSTORM for all three labeling approaches.
In this work, a toolbox was provided to create three-component polymer conjugates with a defined architecture, designed to bear different biocomponents that can interact with larger biological systems in biomacromolecular recognition experiments. The target architecture is the attachment of two biomolecule ‘arms’ to the alpha telechelic end point of a polymer and fixating the conjugate to the gold surface of SAW and SPR sensor chips with the polymer’s other omega chain end. This specific design of a conjugate will be implemented by using a strategy to yield novel double alpha as well as omega telechelic functionalized POx and the success of all cascade reaction steps leading to the final conjugation product will be proven through affinity measurements between covalently bound mannose and ConA. All reactions were performed on a low molecular model level first and then transferred to telechelic and also side chain functionalized polymer systems.
Touch sensation is the ability to perceive mechanical cues which is required for essential behaviors. These encompass the avoidance of tissue damage, environmental perception, and social interaction but also proprioception and hearing. Therefore research on receptors that convert mechanical stimuli into electrical signals in sensory neurons remains a topical research focus. However, the underlying molecular mechanisms for mechano-metabotropic signal transduction are largely unknown, despite the vital role of mechanosensation in all corners of physiology.
Being a large family with over 30 mammalian members, adhesion-type G protein-coupled receptors (aGPCRs) operate in a vast range of physiological processes. Correspondingly, diverse human diseases, such as developmental disorders, defects of the nervous system, allergies and cancer are associated with these receptor family. Several aGPCRs have recently been linked to mechanosensitive functions suggesting, that processing of mechanical stimuli may be a common feature of this receptor family – not only in classical mechanosensory structures.
This project employed Drosophila melanogaster as the candidate to analyze the aGPCR Latrophilin/dCIRL function in mechanical nociception in vivo. To this end, we focused on larval sensory neurons and investigated molecular mechanisms of dCIRL activity using noxious mechanical stimuli in combination with optogenetic tools to manipulate second messenger pathways. In addition, we made use of a neuropathy model to test for an involvement of aGPCR signaling in the malfunctioning peripheral nervous system. To do so, this study investigated and characterized nocifensive behavior in dCirl null mutants (dCirlKO) and employed genetically targeted RNA-interference (RNAi) to cell-specifically manipulate nociceptive function.
The results revealed that dCirl is transcribed in type II class IV peripheral sensory neurons – a cell type that is structurally similar to mammalian nociceptors and detects different nociceptive sensory modalities. Furthermore, dCirlKO larvae showed increased nocifensive behavior which can be rescued in cell specific reexpression experiments. Expression of bPAC (bacterial photoactivatable adenylate cyclase) in these nociceptive neurons enabled us to investigate an intracellular signaling cascade of dCIRL function provoked by light-induced elevation of cAMP. Here, the findings demonstrated that dCIRL operates as a down-regulator of nocifensive behavior by modulating nociceptive neurons. Given the clinical relevance of this results, dCirl function was tested in a chemically induced neuropathy model where it was shown that cell specific overexpression of dCirl rescued nocifensive behavior but not nociceptor morphology.
A Calix[4]arene‐Based Cyclic Dinuclear Ruthenium Complex for Light‐Driven Catalytic Water Oxidation
(2021)
A cyclic dinuclear ruthenium(bda) (bda: 2,2’‐bipyridine‐6,6’‐dicarboxylate) complex equipped with oligo(ethylene glycol)‐functionalized axial calix[4]arene ligands has been synthesized for homogenous catalytic water oxidation. This novel Ru(bda) macrocycle showed significantly increased catalytic activity in chemical and photocatalytic water oxidation compared to the archetype mononuclear reference [Ru(bda)(pic)\(_2\)]. Kinetic investigations, including kinetic isotope effect studies, disclosed a unimolecular water nucleophilic attack mechanism of this novel dinuclear water oxidation catalyst (WOC) under the involvement of the second coordination sphere. Photocatalytic water oxidation with this cyclic dinuclear Ru complex using [Ru(bpy)\(_3\)]Cl\(_2\) as a standard photosensitizer revealed a turnover frequency of 15.5 s\(^{−1}\) and a turnover number of 460. This so far highest photocatalytic performance reported for a Ru(bda) complex underlines the potential of this water‐soluble WOC for artificial photosynthesis.
Photocatalytic water oxidation is a promising process for the production of solar fuels and the elucidation of factors that influence this process is of high significance. Thus, we have studied in detail light‐driven water oxidation with a trinuclear Ru(bda) (bda: 2,2’‐bipyridine‐6,6’‐dicarboxylate) macrocycle MC3 and its highly water soluble derivative m‐CH\(_2\)NMe\(_2\)‐MC3 using a series of ruthenium tris(bipyridine) complexes as photosensitizers under varied reaction conditions. Our investigations showed that the catalytic activities of these Ru macrocycles are significantly affected by the choice of photosensitizer (PS) and reaction media, in addition to buffer concentration, light intensity and concentration of the sensitizer. Our steady‐state and transient spectroscopic studies revealed that the photocatalytic performance of trinuclear Ru(bda) macrocycles is not limited by their intrinsic catalytic activities but rather by the efficiency of photogeneration of oxidant PS\(^+\) and its ability to act as an oxidizing agent to the catalysts as both are strongly dependent on the choice of photosensitizer and the amount of employed organic co‐solvent.
The goal of this doctoral thesis is to identify appropriate methods for the estimation of connectivity and for measuring synchrony between spike trains from in vitro neuronal networks. Special focus is set on the parameter optimization, the suitability for massively parallel spike trains, and the consideration of the characteristics of real
recordings. Two new methods were developed in the course of the optimization which outperformed other methods from the literature. The first method “Total spiking probability edges” (TSPE) estimates the effective connectivity of two spike trains, based on the
cross-correlation and a subsequent analysis of the cross-correlogram. In addition to the estimation of the synaptic weight, a distinction between excitatory and inhibitory connections is possible. Compared to other methods, simulated neuronal networks could be estimated with higher accuracy, while being suitable for the analysis of massively parallel spike trains. The second method “Spike-contrast” measures the synchrony of parallel spike trains
with the advantage of automatically optimizing its time scale to the data. In contrast to other methods, which also adapt to the characteristics of the data, Spike-contrast is more robust to erroneous spike trains and significantly faster for large amounts of parallel spike trains. Moreover, a synchrony curve as a function of the time scale is generated by Spike-contrast. This optimization curve is a novel feature for the analysis of parallel spike trains.
The projects presented in this thesis cover the examination of the electronic and structural properties of organic thin films at noble metal-organic interfaces. Angle-resolved photoemission spectroscopy is used as the primary investigative tool due to the connection of the emitted photoelectrons to the electronic structure of the sample. The surveyed materials are of relevance for fundamental research and practical applications on their own, but also serve as archetypes for the photoemission techniques presented throughout the four main chapters of this thesis. The techniques are therefore outlined with their adaptation to other systems in mind and a special focus on the proper description of the final state.
The most basic description of the final state that is still adequate for the evaluation of photoemission data is a plane wave. Its simplicity enables a relatively intuitive interpretation of photoemission data, since the initial and final state are related to one another by a Fourier transform and a geometric factor in this approximation. Moreover, the initial states of some systems can be reconstructed in three dimensions by combining photoemission measurements at various excitation energies. This reconstruction can even be carried out solely based on experimental data by using suitable iterative algorithms.
Since the approximation of the final state in the photoemission process by a plane wave is not valid in all instances, knowledge on the limitations of its applicability is indispensable. This can be gained by a comparison to experimental data as well as calculations with a more detailed description of the photoemission final state. One possible appraoch is based on independently emitting atoms where the coherent superposition of partial, atomic final states produces the total final state. This approach can also be used for more intricate studies on organic thin films. To this end, experimental data can be related to theoretical calculations to gain extensive insights into the structural and electronic properties of molecules in organic thin films.
The DAEDALUS mission concept aims at exploring and characterising the entrance and initial part of Lunar lava tubes within a compact, tightly integrated spherical robotic device, with a complementary payload set and autonomous capabilities.
The mission concept addresses specifically the identification and characterisation of potential resources for future ESA exploration, the local environment of the subsurface and its geologic and compositional structure.
A sphere is ideally suited to protect sensors and scientific equipment in rough, uneven environments.
It will house laser scanners, cameras and ancillary payloads.
The sphere will be lowered into the skylight and will explore the entrance shaft, associated caverns and conduits. Lidar (light detection and ranging) systems produce 3D models with high spatial accuracy independent of lighting conditions and visible features.
Hence this will be the primary exploration toolset within the sphere.
The additional payload that can be accommodated in the robotic sphere consists of camera systems with panoramic lenses and scanners such as multi-wavelength or single-photon scanners.
A moving mass will trigger movements.
The tether for lowering the sphere will be used for data communication and powering the equipment during the descending phase.
Furthermore, the connector tether-sphere will host a WIFI access point, such that data of the conduit can be transferred to the surface relay station. During the exploration phase, the robot will be disconnected from the cable, and will use wireless communication.
Emergency autonomy software will ensure that in case of loss of communication, the robot will continue the nominal mission.
The obligate human pathogen Neisseria meningitidis is a major cause of sepsis and meningitis worldwide. It affects mainly toddlers and infants and is responsible for thousands of deaths each year. In this study, different aspects of the importance of sphingolipids in meningococcal pathogenicity were investigated. In a first step, the acid sphingomyelinase (ASM), which degrades membrane sphingomyelin to ceramide, was studied in the context of meningococcal infection. A requirement for ASM surface activity is its translocation from the lysosomal compartment to the cell surface, a process that is currently poorly understood.
This study used various approaches, including classical invasion and adherence assays, flow cytometry, and classical and super resolution immunofluorescence microscopy (dSTORM). The results showed that the live, highly piliated N. meningitidis strain 8013/12 induced calcium-dependent ASM translocation in human brain microvascular endothelial cells (HBMEC). Furthermore, it promoted the formation of ceramide-rich platforms (CRPs). In addition, ASM translocation and CRP formation were observed after treating the cells with pili-enriched fractions derived from the same strain. The importance for N. meningitidis to utilize this pathway was shown by the inhibition of the calcium-dependent ASM translocation, which greatly decreased the number of invasive bacteria.
I also investigated the importance of the glycosphingolipids GM1 and Gb3. The results showed that GM1, but not Gb3, plays an important role in the ability of N. meningitidis to invade HBMEC. By combining dSTORM imaging and microbiological approaches, we demonstrated that GM1 accumulated prolifically around bacteria during the infection, and that this interaction seemed essential for meningococcal invasion.
Sphingolipids are not only known for their beneficial effect on pathogens. Sphingoid bases, including sphingosine, are known for their antimicrobial activity. In the last part of this study, a novel correlative light and electron microscopy approach was established in the combination with click chemistry to precisely localize azido-functionalized sphingolipids in N. meningitidis. The result showed a distinct concentration-dependent localization in either the outer membrane (low concentration) or accumulated in the cytosol (high concentration). This pattern was confirmed by mass spectrometry on separated membrane fractions. Our data provide a first insight into the underlying mechanism of antimicrobial sphingolipids.
We examined 143 patients suffering from FMS, a syndrome characterized by chronic widespread pain, sleep disturbances, and fatigue. Etiology and pathophysiology of FMS are scarcely understood. In recent years abnormalities of small Aδ- and C-nerve fibers have been found in subgroups of FMS patients. It is yet unclear how such SFP is caused in FMS patients and how it contributes to FMS symptoms.
We used CCM to analyze corneal small nerve fibers and associated LC, comparing FMS patients’ results to those from 65 healthy controls and 41 disease controls suffering from SFN. We, further, assessed expression levels of mRNA and miRNA in keratinocytes taken from skin punch biopsies of FMS patients and healthy controls kept as monocellular cell cultures. A screening was performed using NGS in a small cohort of 12 FMS patients and 5 healthy controls. Results were validated in larger cohorts by qRT-PCR.
As in previous studies IENFD and CNFD were reduced in a subgroup of FMS patients. We found identical LC densities in FMS patients, healthy controls, and SFN patients. The subpopulation of dLCfiber contact in FMS and SFN patients was lower than in healthy controls. Our RNA expression analysis revealed one mRNA that was expressed higher in FMS patients than in controls: PRSS21.
We conclude that reduced neurotrophic signaling of LC may contribute to SFP in the cornea. Epidermal PRSS21 expression and dLCfiber contact density are promising biomarker candidates for FMS diagnosis.
Over the last decades, cybersecurity has become an increasingly important issue. Between 2019 and 2011 alone, the losses from cyberattacks in the United States grew by 6217%. At the same time, attacks became not only more intensive but also more and more versatile and diverse. Cybersecurity has become everyone’s concern. Today, service providers require sophisticated and extensive security infrastructures comprising many security functions dedicated to various cyberattacks. Still, attacks become more violent to a level where infrastructures can no longer keep up. Simply scaling up is no longer sufficient. To address this challenge, in a whitepaper, the Cloud Security Alliance (CSA) proposed multiple work packages for security infrastructure, leveraging the possibilities of Software-defined Networking (SDN) and Network Function Virtualization (NFV).
Security functions require a more sophisticated modeling approach than regular network functions. Notably, the property to drop packets deemed malicious has a significant impact on Security Service Function Chains (SSFCs)—service chains consisting of multiple security functions to protect against multiple at- tack vectors. Under attack, the order of these chains influences the end-to-end system performance depending on the attack type. Unfortunately, it is hard to predict the attack composition at system design time. Thus, we make a case for dynamic attack-aware SSFC reordering. Also, we tackle the issues of the lack of integration between security functions and the surrounding network infrastructure, the insufficient use of short term CPU frequency boosting, and the lack of Intrusion Detection and Prevention Systems (IDPS) against database ransomware attacks.
Current works focus on characterizing the performance of security functions and their behavior under overload without considering the surrounding infrastructure. Other works aim at replacing security functions using network infrastructure features but do not consider integrating security functions within the network. Further publications deal with using SDN for security or how to deal with new vulnerabilities introduced through SDN. However, they do not take security function performance into account. NFV is a popular field for research dealing with frameworks, benchmarking methods, the combination with SDN, and implementing security functions as Virtualized Network
Functions (VNFs). Research in this area brought forth the concept of Service Function Chains (SFCs) that chain multiple network functions after one another. Nevertheless, they still do not consider the specifics of security functions. The mentioned CSA whitepaper proposes many valuable ideas but leaves their realization open to others.
This thesis presents solutions to increase the performance of single security functions using SDN, performance modeling, a framework for attack-aware SSFC reordering, a solution to make better use of CPU frequency boosting, and an IDPS against database ransomware.
Specifically, the primary contributions of this work are:
• We present approaches to dynamically bypass Intrusion Detection Systems (IDS) in order to increase their performance without reducing the security level. To this end, we develop and implement three SDN-based approaches (two dynamic and one static).
We evaluate the proposed approaches regarding security and performance and show that they significantly increase the performance com- pared to an inline IDS without significant security deficits. We show that using software switches can further increase the performance of the dynamic approaches up to a point where they can eliminate any throughput drawbacks when using the IDS.
• We design a DDoS Protection System (DPS) against TCP SYN flood at tacks in the form of a VNF that works inside an SDN-enabled network. This solution eliminates known scalability and performance drawbacks of existing solutions for this attack type.
Then, we evaluate this solution showing that it correctly handles the connection establishment and present solutions for an observed issue. Next, we evaluate the performance showing that our solution increases performance up to three times. Parallelization and parameter tuning yields another 76% performance boost. Based on these findings, we discuss optimal deployment strategies.
• We introduce the idea of attack-aware SSFC reordering and explain its impact in a theoretical scenario. Then, we discuss the required information to perform this process.
We validate our claim of the importance of the SSFC order by analyzing the behavior of single security functions and SSFCs. Based on the results, we conclude that there is a massive impact on the performance up to three orders of magnitude, and we find contradicting optimal orders
for different workloads. Thus, we demonstrate the need for dynamic reordering.
Last, we develop a model for SSFC regarding traffic composition and resource demands. We classify the traffic into multiple classes and model the effect of single security functions on the traffic and their generated resource demands as functions of the incoming network traffic. Based on our model, we propose three approaches to determine optimal orders for reordering.
• We implement a framework for attack-aware SSFC reordering based on this knowledge. The framework places all security functions inside an SDN-enabled network and reorders them using SDN flows.
Our evaluation shows that the framework can enforce all routes as desired. It correctly adapts to all attacks and returns to the original state after the attacks cease. We find possible security issues at the moment of reordering and present solutions to eliminate them.
• Next, we design and implement an approach to load balance servers while taking into account their ability to go into a state of Central Processing Unit (CPU) frequency boost. To this end, the approach collects temperature information from available hosts and places services on the host that can attain the boosted mode the longest.
We evaluate this approach and show its effectiveness. For high load scenarios, the approach increases the overall performance and the performance per watt. Even better results show up for low load workloads, where not only all performance metrics improve but also the temperatures and total power consumption decrease.
• Last, we design an IDPS protecting against database ransomware attacks that comprise multiple queries to attain their goal. Our solution models these attacks using a Colored Petri Net (CPN).
A proof-of-concept implementation shows that our approach is capable of detecting attacks without creating false positives for benign scenarios. Furthermore, our solution creates only a small performance impact.
Our contributions can help to improve the performance of security infrastructures. We see multiple application areas from data center operators over software and hardware developers to security and performance researchers. Most of the above-listed contributions found use in several research publications.
Regarding future work, we see the need to better integrate SDN-enabled security functions and SSFC reordering in data center networks. Future SSFC should discriminate between different traffic types, and security frameworks should support automatically learning models for security functions. We see the need to consider energy efficiency when regarding SSFCs and take CPU boosting technologies into account when designing performance models as well as placement, scaling, and deployment strategies. Last, for a faster adaptation against recent ransomware attacks, we propose machine-assisted learning for database IDPS signatures.
Adrenal Cushing’s Syndrome (CS) is a rare but life-threatening disease and therefore it is of great importance to understand the pathogenesis leading to adrenal CS. It is well accepted that Protein Kinase A (PKA) signalling mediates steroid secretion in adrenocortical cells. PKA is an inactive heterotetramer, consisting of two catalytic and two regulatory subunits. Upon cAMP binding to the regulatory subunits, the catalytic subunits are released and are able to phosphorylate their target proteins. Recently, activating somatic mutations affecting the catalytic subunit a of PKA have been identified in a sub-population of cortisol-producing adenomas (CPAs) associated with overt CS. Interestingly, the PKA regulatory subunit IIb has long been known to have significantly lower protein levels in a sub-group of CPAs compared to other adrenocortical tumours. Yet, it is unknown, why these CPAs lack the regulatory subunit IIb, neither are any functional consequences nor are the underlying regulation mechanisms leading to reduced RIIb levels known. The results obtained in this thesis show a clear connection between Ca mutations and reduced RIIb protein levels in CPAs but not in other adrenocortical tumours. Furthermore, a specific pattern of PKA subunit expression in the different zones of the normal adrenal gland is demonstrated. In addition, a Ca L206R mutation-mediated degradation of RIIb was observed in adrenocortical cells in vitro. RIIb degradation was found to be mediated by caspases and by performing mutagenesis experiments of the regulatory subunits IIb and Ia, S114 phosphorylation of RIIb was identified to make RIIb susceptible for degradation. LC-MS/MS revealed RIIb interaction partners to differ in the presence of either Ca WT and Ca L206R. These newly identified interaction partners are possibly involved in targeting RIIb to subcellular compartments or bringing it into spatial proximity of degrading enzymes. Furthermore, reducing RIIb protein levels in an in vitro system were shown to correlate with increased cortisol secretion also in the absence of PRKACA mutations. The inhibiting role of RIIb in cortisol secretion demonstrates a new function of this regulatory PKA subunit, improving the understanding of the complex regulation of PKA as key regulator in many cells.
This thesis describes the functional principle of FARN, a novel flight controller for Unmanned Aerial Vehicles (UAVs) designed for mission scenarios that require highly accurate and reliable navigation. The required precision is achieved by combining low-cost inertial sensors and Ultra-Wide Band (UWB) radio ranging with raw and carrier phase observations from the Global Navigation Satellite System (GNSS). The flight controller is developed within the scope of this work regarding the mission requirements of two research projects, and successfully applied under real conditions.
FARN includes a GNSS compass that allows a precise heading estimation even in environments where the conventional heading estimation based on a magnetic compass is not reliable. The GNSS compass combines the raw observations of two GNSS receivers with FARN’s real-time capable attitude determination. Thus, especially the deployment of UAVs in Arctic environments within the project for ROBEX is possible despite the weak horizontal component of the Earth’s magnetic field.
Additionally, FARN allows centimeter-accurate relative positioning of multiple UAVs in real-time. This enables precise flight maneuvers within a swarm, but also the execution of cooperative tasks in which several UAVs have a common goal or are physically coupled. A drone defense system based on two cooperative drones that act in a coordinated manner and carry a commonly suspended net to capture a potentially dangerous drone in mid-air was developed in conjunction with the
project MIDRAS.
Within this thesis, both theoretical and practical aspects are covered regarding UAV development with an emphasis on the fields of signal processing, guidance and control, electrical engineering, robotics, computer science, and programming of embedded systems. Furthermore, this work aims to provide a condensed reference for further research in the field of UAVs.
The work describes and models the utilized UAV platform, the propulsion system, the electronic design, and the utilized sensors. After establishing mathematical conventions for attitude representation, the actual core of the flight controller, namely the embedded ego-motion estimation and the principle control architecture are outlined. Subsequently, based on basic GNSS navigation algorithms, advanced carrier phase-based methods and their coupling to the ego-motion estimation framework are derived. Additionally, various implementation details and optimization steps of the system are described. The system is successfully deployed and tested within the two projects. After a critical examination and evaluation of the developed system, existing limitations and possible improvements are outlined.
Inspired by the fact that sufficient solubility in aqueous media can be achieved by functional substitution of perylene bisimides (PBIs) with polar groups, one of the essential aims of this thesis was the design and successful synthesis of the new water-soluble PBI cyclophanes [2PBI]-1m and [2PBI]-1p, which are appended with branched, hydrophilic oligoethylene glycol (OEG) chains. Subsequently, the focus was set on the elucidation of properties of PBI cyclophane hosts which are also of relevance for recognition processes in biological systems. The performance of the new amphiphilic PBI cyclophane [2PBI]-1p as synthetic receptors for various natural aromatic alkaloids in aqueous media was thoroughly investigated. Alkaloids represent a prominent class of ubiquitous nitrogen containing natural compounds with a great structural variety and diverse biological activity. As of yet, no chromophore host acting as a molecular probe for a range of alkaloids such as harmine or harmaline is known. In addition, the self-association behavior of cyclophane host [2PBI]-1m and its reference monomer in water was studied in order to gain insights into the thermodynamic driving forces affecting the self-assembly process of these two PBI systems in aqueous environment. Moreover, the chirality transfer upon guest binding previously observed for a PBI cyclophane was investigated further. The assignment of the underlying mechanism of guest recognition to either the induced fit or conformational selection model was of particular interest.
Summary
Bees, like many other organisms, evolved an endogenous circadian clock, which enables them to foresee daily environmental changes and exactly time foraging flights to periods of floral resource availability. The social lifestyle of a honey bee colony has been shown to influence circadian behavior in nurse bees, which do not exhibit rhythmic behavior when they are nursing. On the other hand, forager bees display strong circadian rhythms. Solitary bees, like the mason bee, do not nurse their offspring and do not live in hive communities, but face the same daily environmental changes as honey bees. Besides their lifestyle mason and honey bees differ in their development and life history, because mason bees overwinter after eclosion as adults in their cocoons until they emerge in spring. Honey bees do not undergo diapause and have a relatively short development of a few weeks until they emerge. In my thesis, I present a comparison of the circadian clock of social honey bees (Apis mellifera) and solitary mason bees (Osmia bicornis and Osmia cornuta) on the neuroanatomical level and behavioral output level.
I firstly characterized in detail the localization of the circadian clock in the bee brain via the expression pattern of two clock components, namely the clock protein PERIOD (PER) and the neuropeptide Pigment Dispersing Factor (PDF), in the brain of honey bee and mason bee. PER is localized in lateral neuron clusters (which we called lateral neurons 1 and 2: LN1 and LN2) and dorsal neuron clusters (we called dorsal lateral neurons and dorsal neurons: DLN, DN), many glia cells and photoreceptor cells. This expression pattern is similar to the one in other insect species and indicates a common ground plan of clock cells among insects. In the LN2 neuron cluster with cell bodies located in the lateral brain, PER is co-expressed with PDF. These cells build a complex arborization network throughout the brain and provide the perfect structure to convey time information to brain centers, where complex behavior, e.g. sun-compass orientation and time memory, is controlled. The PDF arborizations centralize in a dense network (we named it anterio-lobular PDF hub: ALO) which is located in front of the lobula. In other insects, this fiber center is associated with the medulla (accessory medulla: AME). Few PDF cells build the ALO already in very early larval development and the cell number and complexity of the network grows throughout honey bee development. Thereby, dorsal regions are innervated first by PDF fibers and, in late larval development, the fibers grow laterally to the optic lobe and central brain. The overall expression pattern of PER and PDF are similar in adult social and solitary bees, but I found a few differences in the PDF network density in the posterior protocerebrum and the lamina, which may be associated with evolution of sociality in bees.
Secondly, I monitored activity rhythms, for which I developed and established a device to monitor locomotor activity rhythms of individual honey bees with contact to a mini colony in the laboratory. This revealed new aspects of social synchronization and survival of young bees with indirect social contact to the mini colony (no trophalaxis was possible). For mason bees, I established a method to monitor emergence and locomotor activity rhythms and I could show that circadian emergence rhythms are entrainable by daily temperature cycles. Furthermore, I present the first locomotor activity rhythms of solitary bees, which show strong circadian rhythms in their behavior right after emergence. Honey bees needed several days to develop circadian locomotor rhythms in my experiments. I hypothesized that honey bees do not emerge with a fully matured circadian system in the hive, while solitary bees, without the protection of a colony, would need a fully matured circadian clock right away after emergence. Several indices in published work and preliminary studies support my hypothesis and future studies on PDF expression in different developmental stages in solitary bees may provide hard evidence.
Observing the Digital Self
(2021)
Facebook, Instagram, Twitter & Co. Social media have become an essential part of everyday life for many people in recent years, and as such, it is impossible to imagine a life without them. It seems self-evident to operate as an active prosumer in the net via various end devices. We create personal profiles in various social networks, exchange ideas, and connect with others. We take part in virtual events, and above all: we actively shape the web.
The photo and video platform Instagram is one of the most popular social networking sites. Since 2010, the online service has offered its users the opportunity for personal development and space for creativity. Therefore, the personal profiles serve not only participatory reasons but also facilitate acts of self-representation.
In addition to apparently visible aspects, questions about self-perception arise: How do users experience and evaluate their activities in virtual space? How do they perceive their actions between the offline and online world, and how intertwined are these spheres? Through an ethnographical approach, this work represents the attempt to look beyond the self-evident aspects of the digital self. For this purpose, two Instagram users were accompanied for more than a year.
The eukaryotic gene expression requires extensive regulations to enable the homeostasis of the cell and to allow dynamic responses due to external stimuli. Although many regulatory mechanisms involve the transcription as the first step of the gene expression, intensive regulation occurs also in the post-transcriptional mRNA metabolism. Thereby, the particular composition of the mRNPs plays a central role as the components associated with the mRNA form a specific “mRNP code” which determines the fate of the mRNA. Many proteins which are involved in this regulation and the mRNA metabolism are affected in diseases and especially neurological disorders often result from an aberrant mRNP code which leads to changes in the regulation and expression of mRNPs.
The focus of this work was on a trimeric protein complex which is termed TTF complex based on its subunits TDRD3, TOP3β and FMRP. Biochemical investigations revealed that the three components of the TTF complex are nucleo-cytosolic shuttle proteins which localize in the cytoplasm at the steady-state, associate with mRNPs and are presumably connected to the translation. Upon cellular stress conditions, the TTF components concentrate in stress granules. Thus, the TTF complex is part of the mRNP code, however its target RNAs and function are still completely unknown. Since the loss of functional FMRP results in the fragile X syndrome and TOP3β is associated with schizophrenia and intellectual disability, the TTF complex connects these phenotypically related neuro-psychiatric disorders with each other on a molecular level.
Therefore, the aim of this work was to biochemically characterize the TTF complex and to define its function in the mRNA metabolism. In this work, evidence was provided that TDRD3 acts as the central unit of the TTF complex and directly binds to FMRP as well as to TOP3β. Thereby, the interaction of TDRD3 and TOP3β is very stable, whereas FMRP is a dynamic component. Interestingly, the TTF complex is not bound directly to mRNA, but is recruited via the exon junction complex (EJC) to mRNPs. This interaction is mediated by a specific binding motif of TDRD3, the EBM. Upon biochemical and biological investigations, it was possible to identify the interactome of the TTF complex and to define the role in the mRNA metabolism. The data revealed that the TTF complex is mainly associated with “early” mRNPs and is probably involved in the pioneer round of translation. Furthermore, TOP3β was found to bind directly to the ribosome and thus, establishes a connection between the EJC and the translation machinery. A reduction of the TTF components resulted in selective changes in the proteome in cultured cells, whereby individual protein subsets seem to be regulated rather than the global protein expression.
Moreover, the enzymatic analysis of TOP3β indicated that TOP3β is a type IA topoisomerase which can catalytically attack not only DNA but also RNA. This aspect is particularly interesting with regard to the connection between early mRNPs and the translation which has been revealed in this work.
The data obtained in this work suggest that the TTF complex plays a role in regulating the metabolism of an early mRNP subset possibly in the course of the pioneer round of translation. Until now, the link between an RNA topoisomerase and the mRNA metabolism is thereby unique and thus provides a completely new perspective on the steps in the post-transcriptional gene expression and its regulation.
Insight into molecular mechanisms of folding and self-association of spider silk protein domains
(2021)
Spider silk is a biomaterial of extraordinary toughness paired with elasticity. The assembly of silk proteins, so-called spidroins (from “spider” and “fibroin”), generates the silk threads we typically see in our garden or the corners of our houses. Although spider webs from different species vary considerably in geometry and size, many sections of spidroin sequences are conserved. Highly conserved regions, found in all spidroins, relate to the terminal domains of the protein, i.e., the N-terminal (NTD) and C-terminal domains (CTD). Both have an essential function in the silk fibre association and polymerisation.
The NTD is a 14 kDa five-helix bundle, which self-associates via a pH-driven mechanism. This process is critical for starting the polymerisation of the fibre. However, detailed insights into how conserved this mechanism is in different species and the quantitative thermodynamic comparison between homologous NTDs was missing. For this reason, four homologous NTDs of the major ampullate gland (MaSp) from spider species Euprosthenops australis, Nephila clavipes, Latrodectus hesperus, and Latrodectus geometricus were investigated. I analysed and quantified equilibrium thermodynamics, kinetics of folding, and self-association. Methods involved dynamic light scattering (MALS), stopped-flow fluorescence and circular dichroism spectroscopy in combination with thermal and chemical denaturation experiments. The results showed conserved, cooperative two-state folding on a sub-millisecond time scale. All homologous NTDs showed a similarly fast association in the order of 10^9 M^−1 s^−1, while the resulting equilibrium dissociation constants were in the low nanomolar range. Electrostatic forces were found to be of great importance for protein association. Monomeric protein stability increased with salt concentration while enhancing its folding speed. However, due to Debye-Hückel effects, we found intermolecular electrostatics to be shielded, which reduced the NTDs association capacity significantly at high ionic strength. Altogether, the energetics and kinetics of the NTD dimerisation was conserved for all analysed homologs.
Comparable to the NTD, the spider silks CTD is also a α-helix bundle, which covalently links two spidroins. The orientation of the domains predetermines the future fibre geometry. Here again, the detailed quantitative characterisation of the folding and dimerisation was missing. Therefore, the CTD from the E. australis was analysed in-depth. The protein folded via a three-state mechanism and was placed in the family of knotted proteins.
By analysing the amino acid composition of the NTD of the MaSp1 of the Euprosthenops australis, we found an unusually high content of methionine residues (Met). To elucidate why this protein exhibits so many Met residues, I mutated all core Mets simultaneously to leucine (Leu). Results revealed a dramatically stabilised NTD, which now folded 50 times faster. After solving the tertiary structure of the mutant by NMR (nuclear magnetic resonance) spectroscopy, the structure of the monomeric mutant was found to be identical with the wild-type protein. However, when probing the dimerisation of the NTD, I could show that the association capacity was substantially impaired for the mutant. Our findings lead to the conclusion that Met provides the NTD with enhanced conformational dynamics and thus mobilises the protein, which results in tightly associated dimers. In additional experiments, I first re-introduced new Met residues into the Met-depleted protein at sequence positions containing native Leu. Hence, the mutated NTD protein was provided with the same number of Leu, which were previously removed by mutation. However, the protein did not regain wild-type characteristics. The functionality was not restored, but its stability was decreased as expected. To probe our hypothesis gained from the MaSp NTD, I transferred the experiment to another protein, namely the Hsp90 chaperone. Therefore, I incorporated methionine residues in the protein, which resulted in a slight improvement of its function.
Finally, trial experiments were performed aiming at the synthesis of shortened spidroin constructs containing less repetitive middle-segments than the wild-type protein. The objective was to study the findings of the terminal domains in the context of an intact spidroin. The synthesis of these engineered spidroins was challenging. Nevertheless, preliminary results encourage the assumption that the characteristics observed in the isolated domains hold true in the context of a full-length spidroin.
Computer games are highly immersive, engaging, and motivating learning environments. By providing a tutorial at the start of a new game, players learn the basics of the game's underlying principles as well as practice how to successfully play the game. During the actual gameplay, players repetitively apply this knowledge, thus improving it due to repetition. Computer games also challenge players with a constant stream of new challenges which increase in difficulty over time. As a result, computer games even require players to transfer their knowledge to master these new challenges. A computer game consists of several game mechanics. Game mechanics are the rules of a computer game and encode the game's underlying principles. They create the virtual environments, generate a game's challenges and allow players to interact with the game. Game mechanics also can encode real world knowledge. This knowledge may be acquired by players via gameplay. However, the actual process of knowledge encoding and knowledge learning using game mechanics has not been thoroughly defined, yet. This thesis therefore proposes a theoretical model to define the knowledge learning using game mechanics: the Gamified Knowledge Encoding. The model is applied to design a serious game for affine transformations, i.e., GEtiT, and to predict the learning outcome of playing a computer game that encodes orbital mechanics in its game mechanics, i.e., Kerbal Space Program. To assess the effects of different visualization technologies on the overall learning outcome, GEtiT visualizes the gameplay in desktop-3D and immersive virtual reality. The model's applicability for effective game design as well as GEtiT's overall design are evaluated in a usability study. The learning outcome of playing GEtiT and Kerbal Space Program is assessed in four additional user studies. The studies' results validate the use of the Gamified Knowledge Encoding for the purpose of developing effective serious games and to predict the learning outcome of existing serious games. GEtiT and Kerbal Space Program yield a similar training effect but a higher motivation to tackle the assignments in comparison to a traditional learning method. In conclusion, this thesis expands the understanding of using game mechanics for an effective learning of knowledge. The presented results are of high importance for researches, educators, and developers as they also provide guidelines for the development of effective serious games.
The Chimpanzees of the Comoé National Park, Ivory Coast. Status, distribution, ecology and behavior
(2021)
Although wild chimpanzees (Pan troglodytes) have been studied intensely for more than 50 years, there are still many aspects of their ecology and behavior that are not well understood. Every time that a new population of chimpanzees has been studied, new behaviors and unknown aspects of their ecology have been discovered. All this accumulated knowledge is helping us to piece together a model of how could last human and chimpanzee common ancestors have lived and behaved between seven and five million years ago. Comoé chimpanzees had never been studied in depth, until we started our research in October 2014, only a few censuses had been realized. The last surveys prior our work, stated that the population was so decimated that was probably functionally extinct. When we started this research, we had to begin with a new intensive survey, using new methods, to ascertain the real status and distribution of the chimpanzees living in Comoé National Park (CNP). During the last five years, we have realized a deep study aiming to know more about their ecology and behavior. We combined transects and reconnaissance marches (recces) with the use of camera traps, for the first time in CNP, obtaining a wealth of data that is not fully comprised in this dissertation. With this research, we determined that there is a sustainable continuous population of Western chimpanzees (Pan troglodytes verus) in CNP and the adjacent area of Mont Tingui, to the West, with a minimum of 127 weaned chimpanzees living in our main 900 km2 study area, SW of CNP. We found that this population is formed by a minimum of eight different chimpanzee communities, of which we studied seven, four of them more in detail. These chimpanzees spent much more time in the forest than in the savanna habitats.
We also found that Comoé chimpanzees consumed at least 58 different food items in their dit, which they obtained both from forest and savanna habitats. Another finding was that insectivory had an important role in their diet, with at least four species of ants, three of termites and some beetle larvae. These chimpanzees also hunted at least three species of monkeys and maybe rodents and duikers and occasionally consumed the big land snails of genus Achatina. We found that, during the fruit scarcity period in the late rainy season, they intensely consumed the cambium of Ceiba pentandra, as fallback food, much more than the bark or cambium of any other tree species. Another interesting finding was that all the chimpanzees in the studied area realized this particular bark-peeling behavior and had been repeatedly peeling the trees of this species for years. This did not increase tree mortality and the damage caused to the trees was healed in two years, not reducing the growth, thus being a sustainable use of the trees. We found that Comoé chimpanzees produced and used a great variety of tools, mainly from wooden materials, but also from stone and herbaceous vegetation.
Their tool repertory included stick tools to dip for Dorylus burmeisteri ants, to fish for Camponotus and Crematogaster ants, to dip for honey, mainly from Meliponini stingless bees, but sometimes from honey bees (Apis mellifera). It also included the use of stick tools to fish termites of Macrotermes subhyalinus and Odontotermes majus (TFTs), to dip for water from tree holes and investigatory probes for multiple purposes. Additionally, these chimpanzees used leaf-sponges to drink from tree holes and to collect clayish water from salt-licks. They also used stones to hit the buttresses of trees during displays, the so called accumulative stone throwing behavior and probably used stones as hammers, to crack open hard-shelled Strichnos spinosa and Afraegle paniculata fruits and Achatina snails. The chimpanzees also used objects that are not generally accepted as animal tools, for being attached to the substrate, with different purposes: they drummed buttresses of trees with hands and/or feet to produce sound during male displays and they pounded open hard-shelled fruits, Achatina snails and Cubitermes termite mounds on stone or root anvils. We finally measured the stick tools and found significant differences between them suggesting that they were specialized tools made specifically for every purpose. We studied more in detail the differences between apparently similar tools, the honey dipping tools and the water dipping tools, often with brushes made at their tips to collect the fluids. These last tools were exclusive from Comoé and have not been described at any other site. We found that total length, diameter and brush length were significantly different, suggesting that they were specialized tools. We concluded that Comoé chimpanzees had a particular culture, different from those of other populations of Western chimpanzees across Africa. Efficient protection, further research and permanent presence of research teams are required to avoid that this unique population and its culture disappears by the poaching pressure and maybe by the collateral effects of climate change.