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RNA research is very important since RNA molecules are involved in various gene regulatory mechanisms as well as pathways of cell physiology and disease development.1 RNAs have evolved from being considered as carriers of genetic information from DNA to proteins, with the three major types of RNA involved in protein synthesis, including messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA).2 In addition to the RNAs involved in protein synthesis numerous regulatory non-coding RNAs (ncRNAs) have been discovered in the transcriptome. The regulatory ncRNAs are classified into small ncRNAs (sncRNAs) with transcripts less than 200 nucleotides (nt) and long non-coding RNAs (lncRNAs) with more than 200 nt.3
LncRNAs represent the most diverse and versatile class of ncRNAs that can regulate cellular functions of chromatin modification, transcription, and post-transcription through multiple mechanisms.4 They are involved in the formation of RNA:protein, RNA:RNA and RNA:DNA complexes as part of their gene regulatory mechanism.4,5 The RNA:DNA interactions can be divided into RNA:DNA heteroduplex formation, also called R-loops, and RNA:DNA:DNA triplex formation. In triplex formation, RNA binds to the major groove of double-stranded DNA through Hoogsteen or reverse Hoogsteen hydrogen bonding, resulting in parallel or anti-parallel triplexes, respectively. In vitro studies have confirmed the formation of RNA:DNA:DNA triplexes.6 However, the extent to which these interactions occur in cells and their effects on cellular function are still not understood, which is why these structures are so exciting to study (Chapter I RNA:DNA:DNA Triplexes).
This cumulative thesis investigates several functional and regulatory important RNAs. The first project involves the improved biochemical and biophysical characterization of RNA:DNA:DNA triplex formation between lncRNAs of interest and their target genes. Triplex formation was confirmed by a series of experiments including electromobility shift assays (EMSA), thermal melting assays, circular dichroism (CD), and liquid state nuclear magnetic resonance (NMR) spectroscopy. The following is a summary of the main findings of these publications.
In research article 5.1, the oxygen-sensitive HIF1α-AS1 was identified as a functionally important triplex-forming lncRNA in human endothelial cells using a combination of bioinformatics techniques, RNA/DNA pulldown, and biophysical experiments. Through RNA:DNA:DNA triplex formation, endogenous HIF1α-AS1 decreases the expression of several genes, including EPH receptor A2 (EPHA2) and adrenomedullin (ADM), by acting as an adaptor for the repressive human silencing hub (HUSH) complex, which has been studied by our collaborators in the groups of Leisegang and Brandes.
2) Triplex formation between HIF1α-AS1 and the target genes EPHA2 and ADM was investigated in biochemical and biophysical studies. The EMSA results indicated that HIF1α-AS1 forms a low mobility RNA:DNA:DNA triplex complex with the EPHA2 DNA target sequence. The CD spectrum of the triplex showed distinct features compared to the EPHA2 DNA duplex and the RNA:DNA heteroduplex. Melting curve analysis revealed a biphasic melting transition for triplexes, with a first melting point corresponding to the dissociation of the RNA strand with melting of the Hoogsteen hydrogen bonds. The second, higher melting temperature corresponds to the melting of stronger Watson-Crick base pairing. Stabilized triplexes were formed using an intramolecular EPHA2 DNA duplex hairpin construct in which both DNA strands were attached to a 5 nucleotide (nt) thymidine linker. This approach allowed improved triplex formation with lower RNA equivalents and higher melting temperatures. By NMR spectroscopy, the triplex characteristic signals were observed in the 1H NMR spectrum, the imino signals in a spectral region between 9 and 12 ppm resulting from the Hoogsteen base pairing. To elucidate the structural and sequence specific Hoogsteen base pairs 2D 1H,1H-NOESY measurements of the EPHA2 DNA duplex and the HIF1α-AS1:EPHA2 triplex were performed. The 1H,1H-NOESY spectrum of the HIF1α-AS1:EPHA2 triplex with a 10-fold excess of RNA was semi-quantitatively analyzed for changes in the DNA duplex spectrum. We discovered, strong and moderate attenuation of cross peak intensities in the imino region of the NOESY spectrum. This attenuation was proposed to result from weakening of Watson-Crick base pairing by Hoogsteen hydrogen bonding induced by RNA binding. The Hoogsteen interactions can be mapped based on the analysis of the cross peak attenuation in the NOESY spectra, which we used to generate a structural model of the RNA:DNA:DNA triplex. These biophysical results support the physiological function of HIF1α as a triplex-forming lncRNA that recruits the HUSH-epigenetic silencing complex to specific target genes such as EPHA2 and ADM, thereby silencing their gene expression through RNA:DNA:DNA triplex formation.
In the recent past, we are making huge progress in the field of Artificial Intelligence. Since the rise of neural networks, astonishing new frontiers are continuously being discovered. The development is so fast that overall no major technical limits are in sight. Hence, digitization has expanded from the base of academia and industry to such an extent that it is prevalent in the politics, mass media and even popular arts. The DFG-funded project Specialized Information Service for Biodiversity Research and the BMBF-funded project Linked Open Tafsir can be placed exactly in that overall development. Both projects aim to build an intelligent, up-to-date, modern research infrastructure on biodiversity and theological studies for scholars researching in these respective fields of historical science. Starting from digitized German and Arabic historical literature containing so far unavailable valuable knowledge on biodiversity and theological studies, at its core, our dissertation targets to incorporate state-of-the-art Machine Learning methods for analyzing natural language texts of low-resource languages and enabling foundational Natural Language Processing tasks on them, such as Sentence Boundary Detection, Named Entity Recognition, and Topic Modeling. This ultimately leads to paving the way for new scientific discoveries in the historical disciplines of natural science and humanities. By enriching the landscape of historical low-resource languages with valuable annotation data, our work becomes part of the greater movement of digitizing the society, thus allowing people to focus on things which really matter in science and industry.
Biotechnological processes offer better production conditions for a wide variety of goods of industrial interest. The production of aromatic compounds, for example, involves molecules of great value for cosmetic, plastic, agrochemical and pharmaceutic industries. However, the yield of such processes frequently prevents a proper implementtation that would allow the replacement of traditional production processes.
Numerous rational engineering approaches have been attempted to enhance metabolic pathways associated with desired products. Unfortunately, genetic modifications and heterologous pathway expression often lead to a higher metabolic burden on the producing organisms, ultimately leading to reduced production levels and fitness.
This project utilised adaptive laboratory evolution to better understand the development of synthetic cooperative consortia, using S. cerevisiae as a model organism. Specifically, a synthetic cooperative consortium was developed around the exchange of lysine and tyrosine, which was subjected to adaptive laboratory evolution aiming to induce mutations that would improve the system’s fitness either by enhanced production or upgraded stress resistance. Consequently, the mutant strains isolated after the evolution rounds were sequenced to identify relevant variations that could be related to the growth and production phenotypes observed.
The insights derived from this project are expected to contribute to further developing synthetic cooperative consortia with utilitarian purposes.
Methods using environmental DNA to explore and analyze biodiversity from previously unexplored habitats and ecosystems have become increasingly popular in recent years. This is particularly due to the potential reduction in necessary taxonomic expertise, the opportunity to assess microorganismal communities, and decreased time investments required to cover large spatial extents. In forests, the surface of tree bark is an important habitat for epiphytic diversity. Because of the large surface area rich in micro-niches, the seasonal stability of the substrate, and the longevity of trees, tree bark surfaces provide an ideal habitat for many species. Yet, we lack a comprehensive understanding of their communities and the environmental drivers behind the community assembly. These missing links hinder the exploration of the forest microbiome as a whole and limits our understanding of functions of a large forest habitat and its connections to other forest microbiomes. With a holistic eDNA metabarcoding approach, encompassing samples of three major taxonomic groups (e.g. bacteria, fungi, and green algae), as well as simultaneous collections from multiple forest habitats we can contribute to closing these gaps and increase our knowledge of the forest microbiome.
My dissertation is set within the framework of the Biodiversity Exploratories and was conducted in four parts: I. the establishment of an eDNA metabarcoding workflow to reveal the local diversity of the bark surface microbiome; II. the upscaling of the method to large geographic and environmental gradients to uncover the drivers of the microbiome; III. the integration of soil and bark samples to investigate compositional differences in two important forest habitats; IV. the evaluation of eDNA metabarcoding as a tool for biodiversity assessments of lichen diversity in forests.
In the first part, I developed a simple, cost-effective and fast sampling strategy to acquire eDNA samples from the bark of trees in forest ecosystems. Using readily available medical-specimen-collection swabs I sampled bark surfaces of individual trees in Central German forests and used metabarcoding to amplify marker genes of green algae, fungi and bacteria. From the sequencing reads I calculated the first diversity estimates of the major organismal groups of bark surface microbiomes from Central European forests. Overall the methodology produced reliable results, allowing for an expanded sampling in the second part.
In the second part of the dissertation, I expanded the sampling based on the results of part one. I collected bark surface samples from the three regions of the Biodiversity Exploratories covering large spatial and environmental gradients representative for Central European forests. The collection included composite samples from 150 plots and over 750 trees. Utilizing measurements of climatic and forest structure variables provided by the Biodiversity Exploratories, as well as my own community data, I identified the biotic and abiotic drivers behind alpha and beta diversity of the bark surface microbiome.
In the third part, I studied the differences between the bark surface as an unexplored and the soil as an example of a well characterized forest microbiome. Using only the fungal part of the large sampling campaign and soil samples obtained from the same plots at the same time, I assessed the commonalities and differences of the micro-communities of these distinct forest niches. Furthermore, I included two coniferous and one deciduous tree species to examine, if the effect of tree species, previously shown for soil microbiomes, also holds true for the bark surface.
In the last part of my dissertation, I used eDNA in a more applied way as a tool in biodiversity assessments of lichenized fungi. I compared the results from eDNA metabarcoding to an expert floristic mapping conducted in the same plots in 2007/2008. I assigned functional guilds to the fungal taxa obtained in the large sampling campaign and used a subset that was assigned as lichenized fungi.
In conclusion, I showed that eDNA metabarcoding is a valuable tool to reveal the unknown diversity of microorganisms in forest ecosystems. In particular, my results advance our understanding of the bark surface microbiome, an underexplored habitat within forests. The tightly linked interactions of the three major microbial groups underline that studies need to take holistic approaches across multiple taxonomic groups to deepen our understanding of processes governing the assembly of microbiomes. Results from my dissertation may serve as a foundation to inform hypotheses addressing the functions of forest microbiomes. The massive diversity data collected may also contribute to closing the gap in our understanding of macro-organisms and micro-organisms with respect to diversity distributions and patterns of richness, and serve as a baseline for predictions of biodiversity responses under future anthropogenic change.
In narratology, a widely recognized method involves exploring the connection between implied authors and implied readers. It entails correlating abstract narrative components within a text to understand the conveyed message and the multitude of interpretations it can offer. The present study adopts an implied reader-oriented approach to analyze three selected novels from the twentieth and twenty-first centuries—one Nigerian, one Caribbean, and one Kurdish. The aim is to explore the potential readings within these texts, considering the hermeneutic process of critical reading. The selected texts include Chinua Achebe’s Things Fall Apart, (1958), Same Selvon’s The Lonely Londoners, (1956), and Karwan Kakesur’s The Channels of the Armed Monkeys, (2011). This approach closely examines the communication between the author and reader of the text, with a special focus on the varying levels of communication between the components of the narration, including fictional and implied fictional communication.
The implied fictional communication occurs between a narrative agent known as ‘the implied author’ and its fictional counterpart ‘the implied reader’ rather than between the real, flesh and blood authors and readers. I argue that this level of communication is coded, and the act of decoding it is part of the reading process performed by the reader. Certain texts can propose different and sometimes opposing readings which are initially and purposefully designed by the implied author and addressed to different implied readers. These readings are not necessarily the results of different real readers but rather incorporated ones predetermined by the implied author only to be acknowledged and uncovered by the readers. In other words, the latent meaning is and always was an integral part of the text and is not something created by the imaginative reader or critic. The core interest of my thesis lies in identifying prompts and suggestions within the narrative of the selected texts and ultimately understanding the readerships prestructured in them. Identifying the different readers within those texts will provide new reinterpretations that can add undetected values to the reading process and sometimes suggests opposing readings to how those texts have so far been read. Additionally, it is the objective of this thesis to propose new ways that readers can interact with reading literature that would result in a more aesthetic and entertaining reading experience besides providing ways to be more informed and aware of the cues certain narrative texts contain.
There have been numerous critical studies on both narratology and postcolonial or minority literatures; however, there has been little scholarly work that attempts to utilize narratology as a theoretical foundation for understanding postcolonial and minority fiction.
This study examines fictional texts from Nigerian, Caribbean, and Kurdish literature, employing the narratological concept known as ‘Multiple Implied Readers’. By incorporating concepts from Brian Richardson’s ‘Singular Text, Multiple Implied Readers’, and Peter J. Rabinowitz’s ‘authorial audiences’, I explore the various readerships that the texts could encompass. This exploitation may lead to the discovery of new readings, interpretations, and meanings that would otherwise remain undetected. These structures introduce provocative indeterminacies that challenge the reader’s synthesis of information into coherent configurations of meaning. Consequently, this approach not only enhances the reading experience but also opens doors to new interpretations of the text. In some cases, these interpretations could even dismantle prior understandings and propose entirely new readings.
The concepts of the implied author and implied reader have been studied before in relation to various disciplines of narratology. However, by applying them in conjunction with the relatively less researched subject of multiple implied readers, I aim to shed light on important aspects of these readings. This exploration could prove beneficial for literature students as well as critical readers of literary texts, revealing the potential of these texts to accommodate more than one implied reader within their narratives.
Abdominal aortic aneurysm (AAA) is the most common type of aortic aneurysm, which is defined as a dilation of the abdominal aorta over 3.0 cm or more. Surgical repair is the golden standard for the treatment of AAA, in which open surgical repair (OSR) and endovascular aneurysm repair (EVAR) are the main approaches. Technically speaking, the lesion segment of aueurysm is completely replaced by a graft during OSR, while in EVAR, the lesion is insulated by a stentgraft. EVAR is a less invasive treatment than OSR and shows a lower early mortality rate, although the long-term advantages of EVAR over OSR remain inconclusive.
Endoleak, especially the type II endoleak (T2EL), is a common complication after EVAR. According to research, 16-28% of the patients develop a T2EL after EVAR, and it accounts for nearly three in four of all types of endoleaks. Around 30-50% of the T2EL resolved spontaneously during the follow-up, however, it still causes a secondary intervention in many patients. Therefore, it is critical to monitor endoleaks after repair.
Patent aortic branches in the stent-overlapped area and vasa vasorum have been identified as potential sources of blood flow in T2EL. However, the mechanisms of biological changes or remodeling of the aneurysm sac after the repair are still not clear, but they have been considered to play an important role in the development of endoleaks. Unfortunately, it is impossible to obtain a tissue sample of the aortic wall in patients who underwent EVAR.
MicroRNAs (miRNAs) are a class of small single-stranded non-coding RNAs that inhibit the expression of target message RNA (mRNA). miR-29b/29c, miR-155, and miR-15a are miRNAs associated with regulating extracellular matrix (ECM) components, inflammation, and proliferation, respectively. All four miRNAs have been identified as biomarkers of AAA, not only in aneurysm tissue but also extracellular as circulating miRNAs. However, it is still unknown whether they can reflect the biological changes after AAA repair. Thus, we conducted a prospective study to investigate the changes in expression of circulating miR-29b, miR-29c, miR-155, and miR-15a before (T0), 3 days (T1), and 3 months (T2) after AAA repair.
A total of 39 patients were recruited for this study, 17 of whom were repaired by OSR and 22 of whom were repaired by EVAR. Four patients failed the T2 follow-up due to the Covid-19 pandemic. No significant changes were found in the expression of miR-29b, miR-29c, miR-155, and miR-15a. There were also no obvious differences between OSR and EVAR. However, the T1 expression of miR-15a was significantly lower in patients without endoleak after EVAR than in those who developed endoleak after EVAR and those who were repaired by OSR. Unfortunately, these differences did not persist to the T2 follow-up, and no other differences were found among these patients.
In summary, miR-15a is a miRNA that significantly changes in AAA patients. This study demonstrates that the expression of circulating miR-15a is lower in patients without endoleak three days after EVAR, compared to those who had endoleak after EVAR and those who underwent OSR. The results suggest that miR-15a might be involved in the early aortic remodeling after EVAR as an indicator of endoleak.
Hyperparasitic fungi on black mildews (Meliolales, Ascomycota) : hidden diversity in the tropics
(2023)
Meliolales (Sordariomycetes, Ascomycota) is a group of obligate plant parasitic microfungi mainly distributed in the tropics and subtropics. Meliolalean fungi are commonly known as “black mildews”, as they form black, superficial hyphae on the surface of vegetative and reproductive organs of vascular plants. They are considered biotrophic parasites, and the infections caused by black mildews can lead to a decrease in the photosynthetic activity of plants, as well as to an increase in the temperature and respiration rate of their leaves.
Meliolales are frequently parasitized by hyperparasitic fungi, i.e., parasitic fungi that have parasitic hosts. These hyperparasites are all Ascomycota and belong mainly to the Dothideomycetes and Sordariomycetes. Although hyperparasites represent a megadiverse group, species were only described by morphology until 1980, and the systematic position of more than 60 % of known species is still unclear. In addition, there are no DNA reference sequences available in public databases for any of the species of hyperparasites of Meliolales, and no ecological studies have been done up to now.
Before this study, no exact number of hyperparasitic fungi growing on colonies of black mildews existed. Here, we present a checklist including 189 species of fungi known to be hyperparasitic on Meliolales, but the number of existing species is likely to be even higher. The elaboration of this species checklist laid the foundations for this investigation, as it helped to understand the present state of knowledge of hyperparasitic fungi on Meliolales worldwide.
For the present study, fresh specimens of leaves infected with colonies of Meliolales and hyperparasites were opportunistically collected at 32 collection sites in Western Panama and Benin, West Africa, in 2020 and 2022, respectively. In total, 100 samples of plant specimens infected with black mildews were collected, of which 58 samples were parasitized by hyperparasitic fungi. 31 species and morphospecies of hyperparasitic fungi were identified. In addition, 35 historical specimens, including 12 type specimens, were examined for the present work.
DNA of hyperparasitic fungi was isolated directly from conidia, synnemata, apothecia, perithecia or pseudothecia of fresh and dried specimens. The main challenges faced by scientists in doing molecular studies of hyperparasitic fungi are related to the fact that the hyperparasitic fungi are intermingled with tissues of the meliolalean hosts and other organisms present in a given sample. This makes the isolation of DNA exclusively from the hyperparasite difficult. Moreover, hyperparasitic fungi on Meliolales are biotrophs and cannot be grown axenically. The hosts themselves are also biotrophic, further complicating DNA isolation from either partner. These factors have contributed to a lack of reference sequences in public databases. After more than 100 attempts, DNA of 20 specimens of hyperparasitic fungi, representing seven species, has been isolated in the context of the present investigation. Three partial nuclear gene regions were amplified and sequenced: nrLSU, nrSSU and nrITS. The datasets were assembled for phylogenetic analyses applying Maximum Likelihood (ML) and Bayesian inference (BI) methods. DNA sequences of hyperparasitic fungi on Meliolales were generated for the first time in the context of the present investigation.
Hyperparasitic fungi on Meliolales do not represent a single systematic group, but a polyphyletic ecological guild of fungi. Because of this huge diversity, only the systematics of species of perithecioid hyperparasites, as well as of the species of the genera Atractilina and Spiropes known to be hyperparasitic on black mildews was discussed in this thesis, as they represented the most common groups of fungi found in Benin and Panama. The results indicated, for example, the systematic position of Dimerosporiella cephalosporii and Paranectriella minuta in the Sordariomycetes and Dothideomycetes, respectively. In addition, the first record of a hyperparasitic fungus of black mildews in the Lecanoromycetes, namely Calloriopsis herpotricha, is reported here. The systematics of Atractilina parasitica and of some species of Spiropes is also discussed here.
In the context of the present investigation, four species new to science were described. They are presented with detailed descriptions, photos and scientific illustrations. Taxonomic studies of this thesis also generated seven new synonyms, nine new records for Benin, seven for Panama, one for Africa and two for mainland America, as well as the confirmation of one anamorph-teleomorph connection by molecular sequence data.
The ecology of hyperparasitic fungi on Meliolales is complex and far from being completely understood. The hypothesis of host specificity between hyperparasitic fungi, their meliolalean hosts and their plant hosts was tested for the first time, through a tritrophic network analysis. Results indicate that hyperparasites of Meliolales are generalists concerning genera of Meliolales, but apparently specialists at the level of order. In addition, hyperparasitic fungi tend to be found alongside their meliolalean hosts, suggesting a pantropical distribution.
In the framework of the LHC Injectors Upgrade Project (LIU), the CERN Proton Synchrotron Booster (PSB) went through major upgrades resulting in new effects to study, challenges to overcome and new parameter regimes to explore. To assess the achievable beam brightness limit of the machine, a series of experimental and computational studies in the transverse planes were performed. In particular, the new injection scheme induces optics perturbations that are strongly enhanced near the half-integer resonance. In this thesis, methods for dynamically measuring and correcting these perturbations and their impact on the beam performance will be presented. Additionally, the quality of the transverse beam distributions and strategies for improvement will be addressed. Finally, the space charge effects when dynamically crossing the half-integer resonance will be characterized. The results of these studies and their broader significance beyond the PSB will be discussed.
Binary neutron star mergers represent unique observational phenomena because all four fundamental interactions play an important role at various stages of their evolution by leaving imprints in astronomical observables. This makes their accurate numerical modeling a challenging multiphysics problem that promises to increase our understanding of the high-energy astrophysics at play, thereby providing constraints for the underlying fundamental theories such as the gravitational interaction or the strong interaction of dense matter. For example, the first and so far only multi-messenger observation of the binary neutron star merger GW170817 resulted in numerous bounds on the parameters of isolated non-rotating neutron stars, e.g., their maximum mass or their distribution in radii, which can be directly used to constrain the equation of state of cold nuclear matter. While many of these results stem from the observation of the inspiral gravitational-wave signal, the postmerger phase of binary neutron star mergers encodes even more details about the extreme physics of hot and dense neutron star matter. In this Thesis we focus on the exploration of dissipative and shearing effects in binary neutron star mergers in order to identify novel approaches to constrain hot and dense neutron star matter.
The first effect is the well-motivated dissipation of energy due to the bulk viscosity which arises from violations of weak chemical equilibrium. We start by exploring the impact of bulk viscosity on black-hole accretion. This simplified problem gives us the opportunity to develop a test case for future codes taking into account the effects of dissipation in a fully general-relativistic setup and build intuition in the physics of relativistic dissipation. Next, we move on to isolated neutron stars and binary neutron star mergers by developing a robust implementation of bulk-viscous dissipation for numerical relativity simulations. We test our implementation by calculating the damping of eigenmodes of isolated neutron stars and the violent migration scenario. Finally, we present the first results on the impact of bulk viscosity on binary neutron star mergers. We identify a number of ways how bulk viscosity impacts the postmerger phase, out of which the suppression of gravitational-wave emission and dynamical mass ejection are the most notable ones.
In the last part of this Thesis we investigate how the shearing dynamics at the beginning of the merger affects the amplification of different initial magnetic-field topologies. We explore the hypothesis that magnetic fields which are located only in a small region near the stellar surface prior to merger lead to a weaker magnetic-field amplification. We show first evidence which confirms this hypothesis and discuss possible implications for constraining the physics of superconduction in cold neutron stars.
The EMT-transcription factor ZEB1 has been intensively studied in solid cancers, where it is expressed at the invasive front and in cancer-associated fibroblasts (CAFs). In tumour cells, ZEB1 has been involved in multiple steps of cancer progression including stemness, metastasis and therapy resistance, yet its role in the tumour-microenvironment is largely unknown. Here, the role of Zeb1 in CAFs was investigated using mouse models reflecting different tumour stages in immunocompetent fibroblast specific Zeb1 KO mice. Fibroblast-specific depletion of Zeb1 accelerated tumour growth in the inflammation driven AOM/DSS tumour initiation model, reduced tumour growth and invasion in the sporadic AOM/P53 model and reduced liver metastasis in a progressed orthotopic transplantation model. Immunohistochemical and single cell RNA-sequencing analysis showed that Zeb1 ablation resulted in attenuated expression of the myofibroblast marker aSMA and reduced ECM deposition, indicating a shift among fibroblast subpopulations. Modulation of CAFs was furthermore associated with increased inflammatory signaling in fibroblasts resulting in immune infiltration into primary tumours and exaggerated inflammatory signaling in T cells, B cells and macrophages. These changes in the tumour microenvironment were associated with increased efficacy of immune checkpoint inhibition therapy. In summary, Zeb1 expression in CAFs was identified as a potential target to block immunosuppression and metastatic dissemination in colon cancer.
In this dissertation, different aspects of turbulent transport and thermally driven flows over complex terrain are investigated. Two publications concentrate on the vertical heat and moisture exchange in the convective boundary layer over mountainous terrain. To study this, Large-Eddy Simulation (LES) is used. Both turbulent and advective transport mechanisms are evaluated over the simple orography of a quasi-two-dimensional, periodic valley with prescribed surface fluxes. Here, terrain elevation varies along only one of the horizontal coordinate axes. Even a relatively shallow orography, possibly unresolved in existing numerical weather prediction models, modifies the domain-averaged moisture and temperature profiles. For the analysis, the flow is decomposed into a local turbulent part, a local mean circulation, and a large-scale part. An analysis of the turbulent kinetic energy and turbulent heat and moisture flux budgets shows that the thermal circulation significantly contributes to the vertical transport. It is found that thermal upslope winds are important for the moisture transport from the valley to the mountain tops. In total, moisture export out of the valley is mostly accomplished by the mean circulation. On the temperature distribution, which is horizontally relatively homogeneous, the thermal circulation has a weaker impact. If an upper-level wind is present, it interacts with the thermal circulation. This weakens the vertical transport of moisture and thus reduces its export out of the valley. The heat transport is less affected by the upper-level wind because of its weaker dependence on the thermal circulation. These findings were corroborated in a more realistic experiment simulating the full diurnal cycle using radiation forcing and an interactive land surface model.
Based on these results, coherent turbulent structures in the convective boundary layer over non-flat terrain are studied in further detail. A conditional sampling method based on the concentration of a decaying passive tracer is implemented in order to identify the boundary-layer plumes objectively. Conditional sampling allows to quantify the contribution of plume structures to the vertical transport of heat and moisture. In case of the idealized valley, vertical transport by coherent structures is the dominant contribution to the turbulent components of both heat and moisture flux. It is comparable in magnitude to the advective transport by the mean slope-wind circulation, although it is more important for heat than for moisture transport. A set of less idealized simulations considers the flow over three-dimensional terrain. In this case, conditional sampling is carried out by using a simple domain-decomposition approach. We demonstrate that thermal updrafts are generally more frequent on hill tops than over the surroundings, but they are less persistent on the windward sides when large-scale winds are present in the free atmosphere.
The tools for flow decomposition and budget analysis are also applied in another idealized case with a quasi-two-dimensional valley featuring the stable boundary layer. Here, the formation of a low stratus cloud is investigated. The main driver for the cloud formation is radiative cooling due to outgoing longwave radiation. Despite a purely horizontal flow, the advection terms in the prognostic equations for heat and moisture produce vertical mixing across the upper cloud edge leading to a loss of cloud water content. However, this behavior is not due to any kind of thermally-driven circulation. Instead, this spurious mixing is caused by the diffusive error of the advection scheme in regions where the sloping surfaces of the terrain-following vertical coordinate intersect the cloud top. It is shown that the intensity of the (spurious) numerical diffusion strongly depends on the horizontal resolution, the order of advection, and the choice of the scalar advection scheme. A LES with 4 m horizontal resolution serves as a reference. For horizontal resolutions of a few hundred meters, carried out with a model setup as it is used in Numerical Weather Prediction, a strong reduction of the simulated liquid-water path is observed. In order to keep the (spurious) numerical diffusion at coarser resolutions small, at least a fifth-order advection scheme should be used. In the present case, a WENO scalar advection scheme turns out to increase the numerical diffusion along a sharp cloud edge compared to an upwind scheme. Furthermore, the choice of the vertical coordinate has a strong impact on the simulated liquid-water path over orography. With a modified definition of the terrain-following sigma coordinate, it is possible to produce cloud water where the classical sigma coordinate does not allow any cloud formation.
The capacity of pathogenic bacteria to adhere to host cells and to avoid subsequent clearance by the host´s immune response is the initial and most decisive step leading to infections. Human pathogenic bacteria circulating in the bloodstream need to find ways to interact with endothelial cells (ECs) lining the blood vessels to infect and colonise the host. The extracellular matrix (ECM) of ECs might represent an attractive initial target for bacterial interaction, as many bacterial adhesins have reported affinities to ECM proteins, particularly fibronectin (Fn). Trimeric autotransporter adhesins (TAA) have been described as important pathogenicity factors of Gram-negative bacteria. The TAA from human pathogenic Bartonella henselae, Bartonella adhesin A (BadA), is one of the longest and best characterised adhesin and represents a prototypic TAA due to its domain architecture. B. henselae, the causative agent of cat scratch disease, endocarditis, and bacillary angiomatosis, adheres to ECs and ECM proteins via BadA interaction.
In this research, it was determined that the interaction between BadA and Fn is essential for B. henselae host cell adhesion. BadA interactions were identified within the heparin-binding domains of Fn, and the exact binding sites were revealed by mass spectrometry analysis of chemically crosslinked whole-cell bacteria and Fn. It turned out that specific BadA interactions with defined Fn regions represent the molecular basis for bacterial adhesion to ECs. These data were confirmed by using BadA-deficient bacteria and CRISPR-Cas FN1 knockout ECs. It was also identified that BadA binds to Fn from both cellular and plasma origin, suggesting that B. henselae binding to Fn might possibly take part in other infection processes apart from bacterial adherence, e.g. evasion from the host cell immune system.
Interactions between TAAs and Fn represent a key step for adherence of B. henselae to ECs. Still, Fn-mediated binding is of more significant importance for pathogenic bacteria than broadly recognised. Fn removal from the ECM environment of ECs, also reduced adherence of Staphylococcus aureus, Borrelia burgdorferi, and Acinetobacter baumannii to host cells Interactions between adhesins and Fn might therefore represent a crucial step for the adhesion of human-pathogenic Gram-negative and Gram-positive bacteria targeting the ECs as a niche of infection or as means for persistence.
This research demonstrated that combining large-scale analysis approaches to describe protein-protein interactions with supportive functional readouts (binding assays) allows for the discrimination of crucial interactions involved in bacterial adhesion to the host. The herein-described experimental approaches and tools might guide future research for other pathogenic bacteria and represent an initial point for the future generation of anti-virulence strategies to inhibit bacterial binding to host cells.
In our rapidly changing world, land use has been recognized as having one of the strongest impacts on species and genetic diversity. The present state of temperate forests in Europe is a product of decisions made by former and current management and policy actions, rather than natural factors. Alterations of crown projection areas, structural complexity of the forest stand caused by thinning and cuttings, and changes in tree species composition caused by regeneration or plantings not only affect forest interior buffering against warming, but also the understorey light environment and nutrient availability. Ultimately, current silvicultural management practices have deep impact on the forest ecosystems, microenvironmental changes and forest floor understorey herbs. In response to environmental changes, plants rely on genetically heritable phenotypic variation, an important level of variation in the population, as it is prerequisite for adaptation. However, until now most studies on plant adaptation to land use focus on grassland management. Yet, studies on the adaptation of forest understorey herbs to forest management have been absent so far. This is important because understanding adaptation of understorey herbs is crucial for biodiversity conservation, forest restoration, and climate change mitigation. Studying current adaptation of understorey herbs to forest management yields insights into the evolutionary consequences of management practices, which could be employed to improve sustainable use of forest habitat.
In sum, my conducted experiments complement each other well and managed to fill in research gaps on the topic of genetically heritable phenotypic variation in understorey herbs and how it is affected by forest management and related microenvironmental variables. I showed that forest management has direct evolutionary consequences on the genetic basis of understorey herbs, but also indirectly through the microenvironment. Furthermore, I revealed that local adaptation and phenotypic plasticity of understorey herbs to forest structural attributes act along continuous gradients. And lastly, I highlighted the important role of intra-individual variation by revealing plastic responses to drought and shading, urging researchers to not ignore this important level of trait variation. Ultimately, understorey herbs in temperate forests employ phenotypic plasticity as a flexible strategy to adapt to varying environmental conditions. By adjusting their leaf characteristics, reproductive investment, and phenology, they can optimize their fitness and survival in response to changes in light availability, resource availability, and seasonal cues. The anthropogenic impact on temperate forests and understorey herbs will continue and likely increase in the future. This should urge foresters to adapt their silvicultural management decisions towards the long-term preservation of genetic diversity and, through this, the evolvability and adaptability of forest understorey herbs and associated organisms. Based on the results shown in my dissertation, variation in forest management regimes and types could be beneficial for promoting genetic diversity within several species of forest understorey herbs. Lastly, in the face of future climatic changes, the mechanisms by which plants can cope with increasing stressful environmental conditions might very well rely heavily on intra-individual variation, providing the necessary rapid plastic adjustment to changing microclimatic conditions within populations and thus increase climate change resilience.
A synchrotron is a particular type of cyclic particle accelerator and the first accelerator concept to enable the construction of large-scale facilities [10], such as the largest particle accelerator in the world, the 27-kilometre-circumference Large Hadron Collider (LHC) by CERN near Geneva, Switzerland, the European Synchrotron Radiation Facility (ESRF) in Grenoble, France for the synchrotron radiation, the superconducting, heavy ion synchrotron SIS100 under construction for the FAIR facility at GSI, Darmstadt, Germany and so on. Unlike a cyclotron, which can accelerate particles starting at low kinetic energy, a synchrotron needs a pre-acceleration facility to accelerate particles to an appropriate initial value before synchrotron injection. A pre-acceleration can be realized by a chain of other accelerator structures like a linac, a microtron in case of electrons, for example, Proton and ion injectors Linac 4 and Linac 3 for the LHC, UNLAC as the injector for the SIS18 in GSI and in future the SIS18 as injector for the SIS100. The linac is a commonly used injector for the ion synchrotron and consists of some key components. The three main parts of a linac are: An ion source creating the particles, a buncher system or an RFQ followed by the main drift tube accelerator DTL. In order to meet the energy and the beam current requirement of a synchrotron injector linac, its cost is a remarkable percentage of the total facility costs.
However, the normal conducting linac operation at cryogenic temperatures can be a promising solution in improving the efficiency and reducing the costs of a linac. Synchrotron injectors operate at very low duty factor with beam pulse lengths in 1 micros to 100 micros range, as most of the time is needed to perform the synchrotron cycle. Superconducting linacs are not convenient, as they cannot efficiently operate at low duty factor and high beam currents.
The cryogenic operation of ion linacs is discussed and investigated at IAP in Frankfurt since around 2012 [1, 37]. The motivation was to develop very compact synchrotron injectors at reduced overall linac costs per MV of acceleration voltage. As the needed beam currents for new facilities are increasing as well, the new technology will also allow an efficient realization of higher injector linac energies, which is needed in that case. Operating normal conducting structures at cryogenic temperature exploits the significantly higher conductivity of copper at temperatures of liquid nitrogen and below. On the other hand, the anomalous skin effect reduces the gain in shunt impedance quite a bit[25, 31, 9]. Some intense studies and experiments were performed recently, which are encouraging with respect to increased field levels at linac operation temperatures between 30 K and 70 K [17, 24, 4, 23, 5, 8]. While these studies are motivated by applications in electron acceleration at GHz-frequencies, the aim of this paper is to find applications in the 100 to 700 MHz range, typical for proton and ion acceleration. At these frequencies, a higher impact in saving RF power is expected due to the larger skin depth, which is proportional to the frequency to the power of negative half with respect to the normal skin effect. On the other hand, it is assumed that the improvement in maximum surface field levels will be similar to what was demonstrated already for electron accelerator cavities. This should allow to find a good compromise between reduced RF power needs for achieving a given accelerator voltage and a reduced total linac length to save building costs.
A very important point is the temperature stability of the cavity surface during the RF pulse. This is of increasing importance the lower the operating temperature is chosen: the temperature dependence of the electric conductivity in copper gets rather strong below 80 K, as long as the RRR - value of the copper is adequate. It is very clear, that this technology is suited for low duty cycle operated cavities only - with RF pulse lengths below one millisecond. At longer pulses the cavity surface will be heated within the pulse to temperatures, where the conductivity advantage is reduced substantially. These conditions fit very well to synchrotron injectors or to pulsed beam power applications.
H – Mode structures of the IH – and of the CH – type are well-known to have rather small cavity diameters at a given operating frequency. Moreover, they can achieve effective acceleration voltage gains above 10 MV/m even at low beam energies, and already at room temperature operation[29]. With the new techniques of 3d – printing of stainless steel and copper components one can reduce cavity sizes even further – making the realization of complex cooling channels much easier.
Another topic are copper components in superconducting cavities – like power couplers. It is of great importance to know exactly the thermal losses at these surfaces, which can’t be cooled efficiently in an easy way.
Brain development is a complex and highly organized process that relies on the coordinated interaction between neurons and vessels. These cell systems form a neurovascular link that involves the exchange of oxygen, ions, and other physiological components necessary for proper neuronal and vascular function. This physiologically coupled process is executed through analogous structural and molecular signaling mechanisms shared by both cell types. At the neurovascular interface, the cellular crosstalk via these shared signaling mechanisms allows for the synchronized expansion and integration of neurons and vessels into complex cellular networks. This study investigated the role of VEGFR2, a receptor for vascular endothelial growth factor (VEGF), during postnatal neuronal development in the mouse hippocampus. Prior studies have revealed physiological roles of VEGF, a pro-angiogenic morphogen, in nervous system development. However, it was unclear if VEGF signaling had a direct effect on neuronal physiology and function through neuronal-expressing receptors. In this investigative work, we identified a previously unknown function of VEGFR2, whereby VEGF-induced signaling coordinates the development and circuitry integration of CA3 pyramidal neurons in the early postnatal mouse hippocampus. Mechanistically, we found that VEGFR2 signaling requires receptor endocytosis, a process mediated by ephrinB2. We also found that VEGF-induced cooperative signaling between VEGFR2 and ephrinB2 is functionally required for the dendritic arborization and spine maturation of developing CA3 neurons during the first few postnatal weeks. Moreover, in a collaborative effort with the research group of Carmen Ruiz de Almodovar, formerly at the University of Heidelberg, we simultaneously studied VEGF-induced VEGFR2 signaling in CA3 axonal development. Together, we aimed to gain a comprehensive understanding of the complex interplay between VEGF and VEGFR2 signaling during the early postnatal development of CA3 neurons. Ruiz de Almodovar’s research group found that, unlike the branch and spine development of CA3 dendrites, VEGF-VEGFR2 signaling promotes axonal development through mechanisms that are independent of ephrinB2 function. Our findings on CA3 dendritic development are reported in the published manuscript, Harde et al. (2019), and the complementary work on CA3 axonal development from Ruiz de Almodovar's group is presented in the co-published manuscript, Luck et al. (2019). Although the totality of Ruiz de Almodovar's group's work on CA3 axons is not fully discussed here, it is referenced where noted to provide biological context for our findings on CA3 dendritic development.
VEGFR2 signaling within neurovascular niches is known to play a role in the neurogenesis of neural progenitor cells during embryonic development and within the adult brain. However, the precise localization of neuronal VEGFR2 expression and functional role within the nervous system during postnatal brain development was unknown. To investigate this, we used immunohistochemistry to identify the spatial expression of VEGFR2 within the mouse hippocampus during the first few weeks after birth. Our results showed that VEGFR2 was predominantly expressed within the hippocampal vasculature, consistent with prior studies. However, we also observed localized VEGFR2 expression in pyramidal cell neurons of the hippocampal CA3 region by postnatal day 10 (P10). This spatially restricted postnatal expression of VEGFR2 in CA3 neurons suggested a potential role in the development of these neurons during this developmental stage.
The first two weeks after birth in the mouse hippocampus is a critical period for the development of neuronal circuits, as neurons undergo extensive dendritic arborization and spine formation. To explore the role of VEGFR2 in the postnatal nervous system, we used a Nes-cre VEGFR2lox/- mouse line to target the deletion of VEGFR2 expression within the nervous system while preserving normal receptor expression in all other cell types. We also generated corresponding control mice that were negative for Nes-cre. By breeding these mice with Thy1-GFP reporter mice, we could analyze the functional consequences of VEGFR2 by assessing the morphologies of CA3 dendritic trees and spine density and maturation at P10 and P15, respectively. Our analysis showed that CA3 neurons in Nes-cre VEGFR2lox/- mice had less complex dendritic arbors compared to control mice. There were significant reductions in total length and branch points, particularly in areas located 100-250 μm from the cell soma within the stratum radiatum layer. Additionally, Nes-cre VEGFR2lox/- mice exhibited a significant decrease in spine density accompanied by an increased proportion of immature spines. These findings suggest that VEGFR2 plays a crucial role in the proper development of CA3 dendrites and spines during the early postnatal weeks.
Cyber Physical Systems (CPS) are growing more and more complex due to the availability of cheap hardware, sensors, actuators and communication links. A network of cooperating CPSs (CPN) additionally increases the complexity. This poses challenges as well as it offers chances: the increasing complexity makes it harder to design, operate, optimize and maintain such CPNs. However, on the other side an appropriate use of the increasing resources in computational nodes, sensors, actuators can significantly improve the system performance, reliability and flexibility. Therefore, self-X features like self-organization, self-adaptation and self-healing are key principles for such systems.
Additionally, CPNs are often deployed in dynamic, unpredictable environments and safety-critical domains, such as transportation, energy, and healthcare. In such domains, usually applications of different criticality level exist. In an automotive environment for example, the brake has a higher criticality level regarding safety as the infotainment. As a result of mixed-criticality, applications requiring hard real-time guarantees compete with those requiring soft real-time guarantees and best-effort application for the given resources within the overall system. This leads to the need to accommodate multiple levels of criticality while ensuring safety and reliability, which increases the already high complexity even more.
This thesis deals with the question on how to conveniently, effectively and efficiently handle the management and complexity of mixed-critical CPNs (MC-CPNs). Since this cannot be done by the system developer without the assistance of the system itself any longer, it is essential to develop new approaches and techniques to ensure that such systems can operate under a range of conditions while meeting stringent requirements.
Based on five research hypothesis, this thesis introduces a comprehensive adaptive mixed-criticality supporting middleware for Cyber-Physical Networks (Chameleon), which efficiently and autonomously takes care of the management and complexity of CPNs with regard to the mixed-criticality aspect.
Chameleon contributes to the state-of-art by introducing and combining the following concepts:
- A comprehensive self-adaption mechanism on all levels of the system model is provided.
- This mechanism allows a flexible combination of parametric and structural adaptation actions (relocation, scheduling, tuning, ...) to modify the behavior of the system.
- Real-time constraints of mixed-critical applications (hard real-time, soft real-time, best-effort) are considered in all possible adaptation conditions and actions by the use of the importance parameter.
- CPNs are supported by the introduction of different scopes (local, system, global) for the adaptation conditions and actions. This also enables the combination of different scopes for conditions and actions.
- The realization of the adaptation with a MAPE-K loop instantiated by a distributed LCS allows for real-time capable reasoning of adaptation actions which also works on resource-spare systems.
- The developed rule language Rango offers an intuitive way to specify an initial rule set for LCS in the context of CPS/CPNs and supports the system administrators in the process of rule set generation.
For thousands of years, S. cerevisiae has been employed by humans in brewing and baking. Nowadays, this budding yeast is more than that: it is a well investigated model organism and an established workhorse in biotechnology. S. cerevisiae serves as a production host for various applications such as i) bioethanol production ii) the biosynthesis of hormones including insulin or iii) cannabinoid biosynthesis. Hereby, the robustness of S. cerevisiae and its high tolerances regarding pH and salt concentrations qualifies it for a wide range of industrial applications. Moreover, products of S. cerevisiae are generally recognised as safe (GRAS), enabling diverse biotechnological applications. Various mechanisms for genetic engineering of S. cerevisiae are applicable and the engineering process itself is straightforward since methods are established and widely known. Due to the wide range of industrial applications of S. cerevisiae, this organism is an ideal candidate for applied research and implementation of the recombinant biosynthesis of tocochromanols in this study.
Tocochromanols encompass tocotrienols and tocopherols, which are lipid-soluble compounds that are commonly associated with vitamin E activity. Hereby, α-tocopherol is the most prevalent form, as it is an essential nutrient in the diet of humans and animals. Naturally, tocochromanols are almost exclusively synthesised by photoautotrophic organisms such as plants or cyanobacteria. They consist of an aromatic head group and a polyprenyl side chain which is saturated in tocopherols and 3-fold unsaturated in tocotrienols. The methylation status of the chromanol ring distinguishes α-, β-, γ- and δ-tocochromanol. All forms of tocochromanols represent a group of powerful antioxidants, scavenging reactive oxygen species (ROS) and preventing the propagation of lipid oxidation in lipophilic environments. Recently, attention has been drawn to tocotrienols, due to their benefits in neuroprotection as well as cholesterol-lowering and anti-cancer properties. Consequently, tocochromanols are valuable additives in the food, feed, cosmetic and pharmaceutical industries.
The metabolic engineering strategy of S. cerevisiae to enable tocochromanol biosynthesis was started in a preceding master thesis with the provision of the aromatic moiety, homogentisic acid (HGA), from the aromatic amino acid biosynthesis. Hereby, the upregulation and redirection of the native pathway was essential. Therefore, a strain with an engineered aromatic amino acid pathway for improved 4 hydroxyphenylpyruvate (HPP) production (MRY33) was utilised from Reifenrath and Boles (2018). Furthermore, a heterologous hydroxyphenylpyruvate dioxygenase (HPPD) was required to convert HPP into HGA. Thus, several heterologous HPPDs were expressed and characterised regarding their HGA production within the previous study. The best variant originated from Yarrowia lipolytica, YlHPPD, and was integrated into the genome of MRY33. The resulting strain JBY2, produced 435 mg/L HGA in a shake flask fermentation.
This work was started with the genetically highly modified strain JBY2, whose genome already contained a large number of genes artificially expressed behind strong promoters. For further strain development, it was advantageous to maintain a high degree of sequence variability in order to prevent genomic instabilities due to sequence homologies. Thus, 17 artificial promoters (AP1-AP17) were characterised regarding their strength of expression by the yellow fluorescent protein (YFP). These sequences were also part of a patent that was filed during this work (WO2023094429A1).
The key point of this study was the development of a metabolic engineering strategy for the strain JBY2. First, the sufficient supply of the second precursor, the polyprenyl side chain, was investigated. Natively, S. cerevisiae produces the precursor, geranylgeranyl diphosphate (GGPP), from the isopentenyl diphosphate pathway. However, without further engineering, GGPP was barely detectable in JBY2 (< 0.1 mg/L). Thus, engineering of the isopentenyl diphosphate biosynthesis was necessary. The limiting enzyme of the mevalonate pathway was the 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMGCR), which is encoded by HMG1. Therefore, a truncation for feedback-resistance and its overexpression by a promoter exchange was performed. Furthermore, the promoter of the gene for the squalene synthase (pERG9) was exchanged by the ergosterol sensitive promoter pERG1 to limit the metabolic flux of the mevalonate pathway into the ergosterol pathway. The native GGPP synthase (BTS1) was another limitation that was observed throughout this study. To overcome this bottleneck, plasmid-based and integrative overexpression of the native BTS1 and a codon optimised BTS1 were investigated. Other strategies to improve GGPP production were the deletion of the gene for the diacylglycerol pyrophosphate phosphatase (DPP1) to prevent excessive dephosphorylation of GGPP to geranylgeraniol (GGOH), and the overexpression of the farnesyl pyrophosphate synthetase, encoded by ERG20. However, the best improvements of the GGPP biosynthesis, inferred through GGOH measurements, were achieved from the screening of several heterologous GGPP synthases in S. cerevisiae. The best performing strain was JBY61 (JBY2, hmg1Δ::pTDH3-HMG1tr[1573–3165], pERG9Δ::pERG1, ChrIV-49293-49345Δ::pTDH3-XdcrtE-tSSA1_LEU2), bearing the heterologous GGPP synthase crtE of Xanthophyllomyces dendrorhous and produced 64.23 mg/L GGOH. Consequently, this engineering strategy improved the GGOH production by a factor of 642 compared to the parent strain JBY2.
In the last twenty years, a variety of unexpected resonances had been observed within the charmonium mass region. Although the existence of unconventional states has been predicted by the quantum chromodynamics (QCD), a quantum field theory describing the strong force, a clear evidence was missing. The Y(4260) is such an unexpected and supernummerary state, first observed at BaBar in 2005, and aroused great interest, because it couples much stronger to hidden charm decays (charm-anticharm states like J/Psi or h_c) instead of open charm decays (D meson pairs). This is unusual for states with masses above the D anti-D threshold. Furthermore, it decays into a charged exotic state Y(4260)->Z_c(3900)^+- pi^-+. The charge of the Z_c(3900)^+- is an indication that it comprises of two more quarks than the charm-anticharm pair, and could therefore be assumed to be a four-quark state. Due to these still not understood properties of these QCD-allowed states, they are referred to as exotic XYZ states to emphasize their particularity.
In 2017, the collaboration of the Beijing Spectrometer III (BESIII) investigated the production reaction of the Y(4260) resonance based on a high-luminosity data set. This significantly improved precision of the measurement of the cross-section sigma(e+e- -> J/Psi pi^+ pi^-) permitted a resolution into two resonances, the Y(4230) and the Y(4360). The Z_c(3900)^+- had been discovered by the BESIII collaboration in 2013, thus this experiment at the Beijing Electron-Positron Collider II (BEPCII) is a top-performing facililty to study exotic charmonium-like states.
In this work, an inclusive reconstruction of the strange hyperon Lambda in the charmonium mass region is performed to study possible decays of Y states in order to provide further insight into their nature. Finding more states or new decay channels may provide crucial hints to understand the strong interaction beyond nonperturbative approaches.
Three resonances are observed in the energy dependent cross-section: the first with a mass of (4222.01 +- 5.68) MeV and a width of (154.26 +- 28.16) MeV, the second with a mass of (4358.88 +- 4.97) MeV and a width of (49.58 +- 13.54) MeV and the third with a mass of (4416.41 +- 2.37) MeV and a width of (23.88 +- 7.18) MeV. These resonances, with a statistical significance Z > 5sigma, can be interpreted as the states Y(4230), Y(4360) and psi(4415).
Additionally, a proton momentum-dependent analysis strategy has been used in terms of the inclusiveness of the reconstruction and to address the momentum discrepancies between generic MC and measured data.
Artificial intelligence in heavy-ion collisions : bridging the gap between theory and experiments
(2023)
Artificial Intelligence (AI) methods are employed to study heavy-ion collisions at intermediate collision energies, where high baryon density and moderate temperature QCD matter is produced. The experimental measurements of various conventional observables such as collective flow, particle number fluctuations, etc. are usually compared with expensive model calculations to infer the physics governing the evolution of the matter produced in the collisions. Various experimental effects and processing algorithms can greatly affect the sensitivity of these observables. AI methods are used to bridge this gap between theory and experiments of heavy-ion collisions. The problems with conventional methods of analyzing experimental data are illustrated in a comparative study of the Glauber MC model and the UrQMD transport model. It is found that the centrality determination and the estimated fluctuations of the number of participant nucleons suffer from strong model dependencies for Au-Au collisions at 1.23 AGeV. This can bias the results of the experimental analysis if the number of participant nucleons used is not consistent throughout the analysis and in the final model-to-data comparison. The measurable consequences of this model dependence of the number of participant nucleons are also discussed. In this context, PointNet-based AI models are developed to accurately reconstruct the impact parameter or the number of participant nucleons in a collision event from the hits and/or reconstructed track of particles in 10 AGeV Au-Au collisions at the CBM experiment. In the last part of the thesis, different AI methods to study the equation of state (EoS) at high baryon densities are discussed. First, a Bayesian inference is performed to constrain the density dependence of the EoS from the available experimental measurements of elliptical flow and mean transverse kinetic energy of mid rapidity protons in intermediate energy collisions. The UrQMD model was augmented to include arbitrary potentials (or equivalently the EoSs) in the QMD part to provide a consistent treatment of the EoS throughout the evolution of the system. The experimental data constrain the posterior constructed for the EoS for densities up to four times saturation density. However, beyond three times saturation density, the shape of the posterior depends on the choice of observables used. There is a tension in the measurements at a collision energy of about 4 GeV. This could indicate large uncertainties in the measurements, or alternatively the inability of the underlying model to describe the observables with a given input EoS. Tighter constraints and fully conclusive statements on the EoS require accurate, high statistics data in the whole beam energy range of 2-10 GeV, which will hopefully be provided by the beam energy scan programme of STAR-FXT at RHIC, the upcoming CBM experiment at FAIR, and future experiments at HIAF and NICA. Finally, it is shown that the PointNet-based models can also be used to identify the equation of state in the CBM experiment. Despite the uncertainties due to limited detector acceptance and biases in the reconstruction algorithms, the PointNet-based models are able to learn the features that can accurately identify the underlying physics of the collision. The PointNet-based models are an ideal AI tool to study heavy-ion collisions, not only to identify the geometric event features, such as the impact parameter or the number of participant nucleons, but also to extract abstract physical features, such as the EoS, directly from the detector outputs.
Seed dispersal is a key ecosystem function for plant regeneration, as it involves the movement of seeds away from the parental plants to particular habitats where they can germinate and transition to seedlings and ultimately adult plants. Seed dispersal is shaped by a diversity of abiotic and biotic factors, particularly by associations between plants and climate and between plants and other species. Due to the ongoing loss of biodiversity and changing global conditions, such interactions are prone to change and pose a severe threat to plant regeneration. One way to address this challenge is to study associations between plant traits and abiotic and biotic factors to understand the potential impacts of global change on plant regeneration. Plant communities have long been analyzed through the lens of vegetative traits, mainly ignoring how other traits interact and respond to the environment. For instance, while associations between vegetative traits (e.g., specific leaf area, leaf nitrogen content) and climate are well studied, there are few case studies of reproductive traits in relation to trait-environment associations in the context of global change.
Thus, the overarching aim of this dissertation is to explore how trait-environment associations, with a special focus on reproductive traits, can improve our understanding of the effect that global change may have on seed dispersal, and ultimately on plant regeneration. To this end, my research focuses on studying associations between plant traits and abiotic and biotic factors along an elevational gradient in both forests and deforested areas of tropical mountains. This dissertation addresses three principal research objectives.
First, I investigate the extent to which reproductive (seed and fruit traits) and vegetative traits (leaf traits) are related to abiotic and biotic factors for communities of fleshy-fruited plants in the Ecuadorian Andes. I used multivariate analyses to test associations between four (a)biotic factors and seven reproductive traits and five vegetative traits measured on 18 and 33 fleshy fruited plant species respectively. My analyses demonstrate that climate and soil conditions are strongly associated with the distribution of both reproductive and vegetative traits in tropical tree communities. The production of “costly” vs. “cheap” seeds, fruits and leaves, i.e., the production of few rewarding fruits and acquisitive leaves versus the production of many less-rewarding fruits and conservative leaves, is primarily limited by temperature, whereas the size of plant organs is more related to variation in precipitation and soil conditions. My findings suggest that associations between reproductive and vegetative traits and the abiotic environment follow similar principles in tropical tree communities.
Second, I assess how climate and microhabitat conditions affect the prevalence of endozoochorous plant species in the seed rain of tropical montane forests in southern Ecuador. I analyzed seed rain data for an entire year from 162 traps located across an elevational gradient spanning of 2000 m. I documented the microhabitat conditions (leaf area index and soil moisture next to each seed trap) at small spatial scale as well as the climatic conditions (mean annual temperature and rainfall in each plot) at large spatial scale. After a one-year of sampling, I counted 331,838 seeds of 323 species/morphospecies. My analyses demonstrate that the prevalence of endozoochorous plant species in the seed rain increases with temperature across elevations and with leaf area index within elevations. These results show that the prevalence of endozoochory is shaped by the interplay of both abiotic and biotic factors at large and small spatial scales.
Third, I examine the potential of seed rain to restore deforested tropical areas along an elevational gradient in southern Ecuador. For this chapter, I collected seed rain using 324 seed traps installed in 18 1-ha plots in forests (nine forest plots) and in pastures (nine deforested plots) along an elevational gradient of 2000 m. After a sampling period of three months, I collected a total of 123,039 seeds of 255 species/morphospecies from both forests and pastures along the elevational gradient. I did not find a consistent decrease in the amount and richness of seed rain between forests and pastures, but I detected a systematic change in the type of dispersed seeds, as heavier seeds and a higher proportion of endozoochorous species were found in forests compared to pastures at all elevations. This finding suggests that deforestation acts as a strong filter selecting seed traits that are vital for plant regeneration.
Understanding the role that trait-environment associations play in how plant communities regenerate today could serve as a basis for predicting changes in regeneration processes of plant communities under changing global conditions in the near future. Here, I show how informative the measurement of reproductive traits and trait environment associations are in facilitating the conservation of forest habitats and the restoration of deforested areas in the context of global change.
In view of a growing world population and the finite nature of fossil resources, the development of eco-friendly production processes is essential for the transition towards a sustainable industry. Methanol, which can be produced both petrochemically and from renewable resources, offers itself as bridging technology and attractive alternative raw material for biotechnological processes. This work describes developments for the progress of the well-studied methylotrophic α proteobacterium Methylorubrum extorquens AM1 towards an efficient methylotrophic cell factory. Although many homologous and heterologous production routes have already been described and realized for M. extorquens in a laboratory scale, no industrial process has yet been realized. Three major reasons can be identified for this: (1) A limited choice of tools for genetic modifications, (2) a lack of understanding of carbon fluxes and side reactions occurring in modified strains, such as product reimports, and (3) the lack of tailored production strains for profitable target products and optimized bioprocessing protocols. The aim of the present work was to achieve developments for the mentioned areas. As a model application, the high-level production of chiral dicarboxylic acids from the substrate methanol was chosen. Enantiomerically pure chiral compounds are of great interest, e.g., as building blocks for chiral drugs. The ethylmalonyl CoA metabolic pathway (EMCP) which is part of the primary metabolism of M. extorquens, harbors unique chiral CoA-ester intermediates. Their acid derivatives can be released by cleavage of the CoA-moiety using heterologous enzymes. The dicarboxylic acids 2 methylsuccinic acid and mesaconic acid were produced in a previous study by introducing the heterologous thioesterase YciA into M. extorquens. In the said study, a combined product titer of 0.65 g/L was obtained in shake flask experiments. These results serve as the basis for the developments in the present work.
First, the previously described reuptake of products was thoroughly investigated and dctA2, a gene encoding for an acid transporter, was identified as target for reducing the product reuptake. In addition, reuptake of mesaconic acid was prevented by converting it to (S)-citramalic acid, a product not metabolizable by M. extorquens, by the introduction of a heterologous mesaconase. Together with 2-methylsuccinic acid, for which a high enantiomeric excess of (S)-2-methylsuccinic acid was determined, a second chiral molecule was thus added to the product spectrum. For the release of dicarboxylic acid products, YciA, a broad-range thioesterase that accepts a variety of CoA-esters with different chain lengths as substrates, was chosen. The enzyme should theoretically be able to hydrolyze all CoA-esters of interest present in the EMCP. However, in culture supernatants of M. extorquens strains that were overexpressing the corresponding yciA gene, only mesaconic acid and 2 methylsuccinic acid could be detected. To expand the substrate spectrum of YciA thioesterase with respect to other EMCP intermediates, semi-rational enzyme engineering was attempted. Screening of the corresponding strains carrying the respective YciA variants did not result in strains capable of producing new dicarboxylic acid products. However, the experiments revealed an amino acid position that strongly affected the production of mesaconic acid and 2-methylsuccinic acid in vivo. By substituting the according amino acid in YciA, the maximum titers of mesaconic acid and 2-methylsuccinic acid could be increased substantially. Application of an improved thioesterase variant in a second E. coli-based process confirmed the enhanced activity of the enzyme. The desired extension of the product spectrum by another chiral molecule (2-hydroxy-3-methylsuccinic acid, presumably the (2S,3R)-form) was finally achieved by using an alternative thioesterase. Tailored fermentation strategies were developed for the high-level production of the above-mentioned products.
As second part of the work, two novel genetic tools for M. extorquens were developed and characterized. The pBBR1-derived plasmid pMis1_1B was shown to be stably maintained in M. extorquens cells. In addition, its suitability for co-transformations with other plasmids was demonstrated. The second tool, the cumate-inducible promoter Ps6, is tailored for expression of pathways with toxic products, as the transcription of genes controlled by Ps6 is strongly repressed in the absence of an inducer.
Overall, the present work demonstrates the enormous potential of using M. extorquens as a methylotrophic cell factory. In the applications shown, the biotechnological production of high-priced chiral molecules is combined with the use of an attractive alternative substrate. In addition, new achievements and approaches are presented to facilitate the development of future M. extorquens production strains.
In the past decade, the optogenetic toolbox for the manipulation of ion currents and cNMP levels in Caenorhabditis elegans (C. elegans) expanded. However, the implemented tools for cAMP generation were soluble enzymes (euPAC, bPAC, IlaC22 k27 and PaaC) and thus they do not precisely mimic physiological cAMP signalling occurring in microdomains in close proximity to the plasma membrane. Here, cAMP is predominantly generated by membrane-bound adenylyl cyclases, that are located in microdomains together with G protein-coupled receptors (GPCRs), protein kinase A (PKA) and their targets, enabling spatially and temporal regulation of cAMP signalling. For this reason, one aim of this study was to develop and implement membrane bound photoactivatable adenylyl cyclases for the manipulation of cAMP mediated signalling in close proximity to the plasma membrane. For this purpose, the guanylyl cyclase domains of the Blastocladiella and Catenaria Cyclase Opsins (CyclOps) were mutated to adenylyl cyclases either by introducing the mutations E497K and C566D (abbreviated as (A-2x)) or by the mutations E497K, H564D, and C566T (abbreviated as (A-3x)).
To determine the nucleotide specificity switch from GTP to ATP and the extent of light-dependent cAMP generation, the engineered enzymes were expressed in body wall muscle cells of C. elegans and in vitro cNMP measurements using C. elegans extracts were performed. Here, the highest levels of light induced cAMP generation during sustained stimulation (0.5 mW/mm2; 470 nm, 15 min) were detected for the variants BeCyclOp(A-2x), YFP-BeCyclOp(A-2x), and YFP-CaCyclOp(A-2x) (39, 57, 40 nM, respectively), though they did not reach the extent produced by the soluble bPAC (142 nM). In contrast, low magnitudes of generated cAMP were measured for the versions BeCyclOp(A-3x) and CaCyclOp(A-2x) (8 and 7 nM, respectively). Importantly, no obvious residual cGMP and basal activity was ascertained for any of the engineered enzymes.
To assess their potential to trigger and modulate cAMP mediated cholinergic neurotransmission, and to evaluate the influence of cytosolic and membrane proximal optogenetic cAMP generation, the enzymes were expressed in cholinergic motor neurons and compared to the implemented soluble bPAC via locomotion behaviour analysis on solid and in liquid media. Photoactivation of BeCyclOp(A-2x), YFP-BeCyclOp(A-2x), and YFP-CaCyclOp(A-2x) caused similarly enhanced or even more potent behavioural changes (swimming and crawling) as bPAC, whereas a more rapidly decaying response was observed for the bPAC evoked effects. Moreover, an increased diversity of the behavioural output was detected for cytosolic cAMP production by bPAC, i.e. increased bending angles and a decreased body length.
Confocal fluorescence microscopy was performed to examine the expression levels of YFP-tagged enzymes in cholinergic neurons, whereas both YFP-CyclOp(A-2x)s were expressed at similar levels, but 1.4-fold lower relative to the soluble bPAC-YFP. To compare the amount of light-dependent cAMP generation bPAC and BeCyclOp(A-2x) at light conditions that match the conditions of the behavioural experiments (30 s), cAMP measurements using C. elegans extracts were performed, whereas BeCyclOp(A-2x) depicted a 4-fold lower amount of optogenetic cAMP production than the soluble bPAC.
In sum, local (membrane proximal) cAMP generation by the membrane-bound photoactivatable adenylyl cyclases may more specifically activate cAMP dependent neurotransmission of cholinergic motor neurons than cytosolic cAMP generation, i.e. an increased mobilization and priming/docking of synaptic vesicles and an increased filling of the synaptic vesicles with the neurotransmitter acetylcholine and thus an increase in locomotion behaviour.
The optogenetic toolbox for the manipulation of cGMP mediated signalling in C. elegans consisted of the natural membrane-bound BeCyclOp and the artificial soluble bPGC. The latter generates cGMP with low efficiency and slow kinetics (~0.2 cGMP s-1), whereas BeCyclOp enables the production of much larger amounts of cGMP (L/D = 5000) at a high turnover rate (~17 cGMP s-1). Thus, one aim of this thesis was to implement a tool with features in between those of BeCyclOp and bPGC. Several orthologous CyclOps were assessed by Gao et al., 2015 for light-regulated cGMP production by in vitro assays based on the measurement of the cNMP content from CyclOp containing oocyte membranes. Here, CaCyclOp showed the highest ratio of light versus dark activity (L/D = 230) after BeCyclOp, and thus was selected for characterization in C. elegans...
The role of lncRNAs in the CVS and the endothelium is highly diverse and has been subject to a substantial amount of research over the last decade. The identification of lncRNAs as clinically relevant biomarkers and as co-regulatory molecules let to the appreciation of the functional relevance of lncRNAs.
In the present study, LINC00607 was identified as an endothelial-enriched, human-specific lncRNA. With its distinct functions, LINC00607 maintains and supports the endothelial homeostasis especially in response to VEGF-A signalling.
In the first part of this study, LINC00607 was functionally characterized in human endothelial cells. LINC00607 is highly and specifically expressed in endothelial cells and is differentially regulated in CVDs. Depletion of LINC00607 resulted in decreased angiogenic sprouting, reduced integration of ECs in a newly formed vascular network in vivo, enhanced endothelial migration and differential expression of many important genes for endothelial cell homeostasis. Functionally, LINC00607 maintains ERG-driven endothelial gene expression programs through BRG1. BRG1 secures stably accessible enhancer regions as well as TSS of ERG target genes, thus enabling transcription of endothelial gene programs.
The second part of this study proposes an additional mode of action for LINC00607. The strongly impaired response to VEGF-A after LINC00607 KO can only be partially explained by its’ expression control of ERG target genes. It rather appears that LINC00607 is involved in the control of alternative splicing of VEGF receptor FLT1. The differential splicing of FLT1 produces the anti-angiogenic soluble isoform of FLT1. Even though further validation is needed to uncover the underlying mechanism, there is the potential of a more general role of LINC00607 in splicing control through BRG1. As AS of FLT1 is a clinical marker in preeclampsia, LINC00607 might qualify to be an additional marker for the onset and manifestation of the pregnancy disorder.
Taken together, LINC00607 is a target in future for molecular therapy in CVD to restore a healthy endothelial phenotype and has the potential to serve as a biomarker in preeclampsia.
This study examines the political contestation among Malay Professional Satirists (MPS) through their selected political satire works between 2011-2018. Political satire challenges those in power and is often regarded as fake news and libel. Therefore, political satirists tend to be frequently subject to legal action and are accused of disrupting national harmony. However, there is another group within the social and cultural community, which I call Social and Cultural Professionals (SCP), who also use satire but are supported by the government. This group frequently received financial benefits from the state and are at lower risk of suffering legal consequences. These contrasting conditions raise several important questions: who are the Malaysian Professional Satirists? Who are the targets of MPS in their satirical work? Why do MPS satirise them? And why do the MPS still produce political satire despite the potential legal consequences? Therefore, this study attempts to identify the characters, themes, and issues the MPS highlight; it also considers the reasons and motivations that political satirists have for creating such allegedly controversial works. Malaysia’s Reformasi movement and the booming use of the internet in 1998 mobilised multiple alternative social movements, mainly through art-related activities. Art workers, NGOs, as well as musical and cultural groups, protested creatively against the UMNO-BN ruling regime. Creative protests that employed satire and humour somehow succeeded in attracting a significant proportion of the public to follow political and current issues, especially youths in universities who had been depoliticised with the inception of the University and University College Act (AUKU 1979). This study establishes a point of view that political satire is a fun, loose, free form of resistance, contrasting with formal procedural democracy. The previous literature proposes that the study of Malaysia’s political system should focus on formal political procedures, especially election and representation. However, the study of political satire vis-à-vis democratisation is often neglected and thus such studies are scarce, which might have resulted from how satire is strictly discussed in terms of language and media. There has been a growing interest in how satirist and satirical works are regarded; hence, this study attempts to fill a gap in research on political satire in Malaysia. In contrast, democratisation is often discussed in terms of history, politics, anthropology, sociology, and economics. This qualitative study presents a comprehensive account of interviews with four (4) art workers identified as MPS, as based on appropriate criteria. Each informant had either partaken in alternative social movements or faced legal action from authorities or, indeed, both. In this study, the Theory of Contestation and Two-Social Reality serves as a primary framework to lead to an understanding of the contestation of power in Malaysia through political satire. This study further intends to broaden the knowledge of political satire and humour in the study of democratisation, adding to the existing literature, particularly outside formal political procedures.
"Autonomy is the condition under which what one does reflects who one is" (Weinrib, 2019, p.8). This quote encapsulates the core idea of autonomy, namely the correspondence of one’s inner values with one’s actions. This is a beautiful idea. After all, who wants their actions to be determined or controlled from the outside?
The classical definition of autonomy is precisely about this independence from external circumstances, which Murray (1938) primarily coined. Among other things, Murray characterizes autonomy as resistance to influence and defiance of authority. Similarly, Piaget (1983) describes individuals as autonomous, independent of external influences, in their thinking and actions, and foremost, adult authority. Subsequent work criticized this equation of autonomy with separation or independence (Bekker, 1993; Chirkov et al., 2003; Hmel & Pincus, 2002). In lieu thereof, autonomy is defined as an ability (Chirkov, 2011; Rössler, 2017) and as an essential human need (Ryan & Deci, 2006). Focus is now
on self-governing while relying on rationally determined values to pursue a happy life (Chirkov, 2011). According to Social Determination Theory (SDT), autonomy is about a sense of initiative and responsibility for one’s own actions. The experience of interest and appreciation can strengthen autonomy, whereas experiences of external control, e.g., through rewards or punishments, limit autonomy (Ryan & Deci, 2020). In the psychological discourse of autonomy, SDT is strongly represented (Chirkov et al., 2003; Koestner & Losier, 1996; Weinstein et al., 2012). Notably, SDT distinguishes between autonomy and independence as follows. While a person can autonomously ask for help or rely on others, a person can also be involuntarily alone and independent. Interestingly, these definitions are again closer to its etymological meaning as self-governing, originating from Greek αυτòνoμζ (autonomous).
The two strands of autonomy as independence and autonomy as self-determination are also reflected in the vital differentiation into reactive and reflective autonomy by Koestner and Losier (1996). Resisting external influence, particularly interpersonal in fluence, is what reactive autonomy entails. This interpretation is closely related to the classical concept of autonomy as separation and independence from others (Murray, 1938). On the other hand, reflective autonomy concerns intrapersonal processes, such as self-governing or self-regulation, as defined in Self-Determination Theory (Ryan et al., 2021). In this dissertation, we investigated the concept in three different approaches while focusing on its assessment and operationalization: To begin, in Article 1, we compared the layperson’s and the scientific perspective to each other to gain insight into the characteristics of autonomy. Then, in Articles 2 and 3, we experimentally tested behavioral autonomy as resistance to external influences. Simultaneously, we investigated the link between various autonomy trait measures and autonomous behavior. As a result, in Article 2, we looked at how people reacted to the effects of message framing and sender authority on social distancing behavior during the early COVID-19 pandemic. Finally, in Article 3 we investigated the resistance to a descriptive norm in answering factual questions, in the context of autonomous personality. In our first article, we used a semi-qualitative bottom-up approach to gain insights into the laypersons’ perspective on autonomy and compare it to the scientific notion. We followed a design proposed by Kraft-Todd and Rand (2019) on the term heroism. We derived five components from philosophical and psychological literature: dignity, independence from others, morality, self-awareness, and unconventionality. In three preregistered online studies, we compared these scientific components to the laypersons’ understanding of autonomy. In Study 1, participants (N = 222) listed at least three and up to ten examples of autonomous (self-determined) behaviors. Here, the participants named 807 meaningful examples, which we systematically categorized into 34 representative items for Study 2. Next, new participants (N = 114) rated these regarding their autonomy. Finally, we transferred the five highest-rated autonomy and the five lowest-rated autonomy items to Study 3 (N = 175). We asked participants to rate how strongly the items represented dignity, independence from others, morality, self-awareness, and unconventionality. We found all components to distinguish between high and low autonomy items but not for unconventionality. Thus, we conclude that laypersons’ view corresponds with the scientific characteristics of dignity, independence from others, self-awareness, and morality. A qualitative analysis of the examples also showed that both reactive and reflective definitions of autonomy are prevalent.
This work focuses on the investigation of K+, K- and ϕ-meson production in Ag(1.58 A GeV)+Ag collisions. The energetically cheapest channel for direct K+ production in binary NN-collisions NN→NΛK+ lies at exactly this energy. For the remaining K- and ϕ-mesons, an excess energy of 0.31 GeV and 0.34 GeV in the centre of mass system has to be provided by the system. This makes these particles an excellent probe for effects inside the medium.
K+ and K- mesons can be reconstructed directly as they possess a cτ of approximately 3.7 m. Using the approximately 3 billion recorded Ag(1.58 A GeV)+Ag 0-30% most central collision events, all reconstructed K+ and K- within the detector acceptance are investigated for their kinematic properties and their particle production rates compared to a selection of existing models.
This cumulative dissertation contains four self-contained chapters on stochastic games and learning in intertemporal choice.
Chapter 1 presents an experiment on value learning in a setting where actions have both immediate and delayed consequences. Subjects make a series of choices between abstract options, with values that have to be learned by sampling. Each option is associated with two payoff components: One is revealed immediately after the choice, the other with one round delay. Objectively, both payoff components are equally important, but most subjects systematically underreact to the delayed consequences. The resulting behavior appears impatient or myopic. However, there is no inherent reason to discount: All rewards are paid simultaneously, after the experiment. Elicited beliefs on the value of options are in accordance with choice behavior. These results demonstrate that revealed impatience may arise from frictions in learning, and that discounting does not necessarily reflect deep time preferences. In a treatment variation, subjects first learn passively from the evidence generated by others, before then making a series of own choices. Here, the underweighting of delayed consequences is attenuated, in particular for the earliest own decisions. Active decision making thus seems to play an important role in the emergence of the observed bias.
Chapter 2 introduces and proves existence of Markov quantal response equilibrium (QRE), an application of QRE to finite discounted stochastic games. We then study a specific case, logit Markov QRE, which arises when players react to total discounted payoffs using the logit choice rule with precision parameter λ. We show that the set of logit Markov QRE always contains a smooth path that leads from the unique QRE at λ = 0 to a stationary equilibrium of the game as λ goes to infinity. Following this path allows to solve arbitrary finite discounted stochastic games numerically; an implementation of this algorithm is publicly available as part of the package sgamesolver. We further show that all logit Markov QRE are ε-equilibria, with a bound for ε that is independent of the payoff function of the game and decreases hyperbolically in λ. Finally, we establish a link to reinforcement learning, by characterizing logit Markov QRE as the stationary points of a game dynamic that arises when all players follow the well-established reinforcement learning algorithm expected SARSA.
Chapter 3 introduces the logarithmic stochastic tracing procedure, a homotopy method to compute stationary equilibria for finite and discounted stochastic games. We build on the linear stochastic tracing procedure (Herings and Peeters 2004), but introduce logarithmic penalty terms as a regularization device, which brings two major improvements. First, the scope of the method is extended: it now has a convergence guarantee for all games of this class, rather than just generic ones. Second, by ensuring a smooth and interior solution path, computational performance is increased significantly. A ready-to-use implementation is publicly available. As demonstrated here, its speed compares quite favorable to other available algorithms, and it allows to solve games of considerable size in reasonable times. Because the method involves the gradual transformation of a prior into equilibrium strategies, it is possible to search the prior space and uncover potentially multiple equilibria and their respective basins of attraction. This also connects the method to established theory of equilibrium selection.
Chapter 4 introduces sgamesolver, a python package that uses the homotopy method to compute stationary equilibria of finite discounted stochastic games. A short user guide is complemented with discussion of the homotopy method, the two implemented homotopy functions logit Markov QRE and logarithmic tracing, and the predictor-corrector procedure and its implementation in sgamesolver. Basic and advanced use cases are demonstrated using several example games. Finally, we discuss the topic of symmetries in stochastic games.
This cumulative dissertation examines learning in chemistry laboratories, focusing on the challenges and benefits of problem-based learning (PBL) for novices in the lab. It addresses the lack of consistent understanding about what should be learned in labs and why it's important. The research aims to understand what students learn, how they learn, and how lab learning can be improved.
A central concept in PBL labs is Information Literacy, defined as a sociocultural practice enabling learners to identify and use information sources within a specific context as legitimized by the practice community.
The first publication, Wellhöfer and Lühken (2022a), investigates the relationship between PBL and learner motivation. It identifies factors that can foster students' intrinsic motivation in a PBL lab. Autonomy is found to be a key factor, increasing student motivation and presenting a model of the autonomous scientific process. This model involves four steps: information acquisition, designing and applying experimental procedures, experimental feedback, and autonomous process optimization. The results suggest that intrinsic motivation in PBL labs can be enhanced by enabling students to independently execute these steps.
The second publication, Wellhöfer and Lühken (2022b), examines the information process students undergo during their first PBL lab. Using a sociocultural framework, it explores Information Literacy to understand students' handling of information and their perceptions of the information process. The findings reveal that in PBL labs, developing a practical, applicable experimental procedure is crucial for problem-solving and significantly shapes the information-acquisition process. This process is iterative, influenced by new information, leading to more precise information needs. Students assess information quality based on its usefulness for their problem, implementability (considering cognitive understanding, available equipment, and psychomotor skills), and safety.
Furthermore, the role of privileged knowledge forms in evaluating the quality of text sources is explored. Students viewed non-scientific sources as "poor" and scientific sources as "good," yet used both for information gathering. There were discrepancies between their assessment of source quality and actual use, indicating that perception of source quality doesn't always affect their practical decisions.
The third publication, Wellhöfer, Machleid, and Lühken (2023), investigates students' information practices in the lab, focusing on discourse between novice learners and experienced assistants. It shows that theoretical knowledge isn't sufficient for independent practical action, and students need actionable social information from experienced community members. The results highlight that information literacy in the lab for newcomers to a community of practice has distinctive features, and physical experience and tacit knowledge are crucial for learning the methods and group-specific knowledge of the practice community. The article demonstrates how learning information literacy in a practice community requires a social and physical experience and provides insights on how educators can support this process.
Mechanistic characterization of photoisomerization reactions in organic molecules and photoreceptors
(2023)
In dieser Arbeit wurden verschiedene Einflüsse auf die Dynamik von Photoisomerisierungen in Phytochromen und indigoiden Photoschaltern untersucht. Beide Forschungsgebiete teilen wesentliche Aspekte wie die Kontrolle durch sterische Wechselwirkungen und den starken Einfluss der Polarität oder der ionischen Umgebung.
Auf dem Gebiet der Phytochrome wurde die relative Positionierung der knotenlosen Phytochrome innerhalb der Superfamilie der Phytochrome in Bezug auf ihre Photodynamik und den Effekt von Grundzustandsheterogenität herausgearbeitet. Es wurde anhand von ultraschnellen, zeitaufgelösten Anrege-Abtast-Experimenten der einzelnen GAF-Domäne All2699g1 im Vergleich mit dem vollständigen knotenlosen Phytochrom All2699g1g2 und dem strukturell ähnlichen knotenlosen Phytochrom SynCph2 gezeigt, dass knotenlose Phytochrome in ihrer Vorwärtsdynamik eine komplexe mehrphasige Kinetik mit einem langlebigen angeregten Zustand (~100 ps) aufweisen. Die beobachtete mehrphasige Kinetik konnte einer initialen Chromophordynamik sowie einer nicht exponentiellen Reorganisation der chromophor-umgebenden Proteinmatrix zugeordnet werden. Dies steht im starken Kontrast zur im Gebiet der Phytochrome etablierten Beschreibung derartiger mehrphasiger Kinetiken mittels heterogener Grundzustände. Stattdessen wurde ein konserviertes kinetisches Muster identifiziert, welches die mehrphasige Dynamik beschreibt und in allen in dieser Arbeit untersuchten Phytochrome beobachtet wurde. Zudem konnte dieses Muster in einem Phytochrom der Gruppe I und einem Phytochrom der Gruppe III, die einen ähnlichen Pr Dunkelzustand aufweisen, gezeigt werden, was eine breite Anwendbarkeit des damit verbundenen Mechanismus vermuten lässt. Weiterhin konnte die zentrale Rolle eines konservierten Tyrosins in der Photoisomerisierung anhand von Mutationsstudien in All2699g1 herausgearbeitet werden. Diese konservierte Aminosäure muss im Rahmen der Reorganisation der Proteinmatrix vom Chromophor weggezogen werden, damit die sterische Blockade abgebaut werden kann, die die Isomerisierung des Chromophors zunächst verhindert. Da diese Bewegung von diversen Faktoren in der den Chromophor umgebenden Proteinmatrix abhängt, weist sie eine nicht exponentielle Kinetik auf, die je nach Phytochrom, der spezifischen Flexibilität und dem vorhandenen Raum in der Bindetasche unterschiedliche Lebenszeiten aufweist.
Die Rückreaktion knotenloser Phytochrome konnte ebenfalls im Rahmen dieser Arbeit charakterisiert werden, welche im Pikosekundenbereich abläuft, und damit signifikant schneller ist als die Vorwärtsreaktion. Im Gegensatz zur Vorwärtsreaktion nimmt Grundzustandsheterogenität in der Rückreaktion eine weitaus bedeutendere Rolle ein. Hier weisen die in All2699g1 vorhandenen heterogenen Grundzustandspopulationen jeweils eine eigene Kinetik ihres angeregten Zustands auf, während die homogenen Grundzustände von All2699g1g2 und SynCph2 jeweils nur einen Zerfall des angeregten Zustands zeigen. Der Ursprung dieser Heterogenität konnte im Wasserstoffbrückennetzwerk des Chromophors lokalisiert und mit dem konservierten Tyrosin und einem konservierten Serin in der PHY-Domäne verknüpft werden. Die Anwesenheit der PHY-Domäne sorgt demnach für eine Verringerung der Grundzustandsheterogenität und des vorhandenen Raums in der Bindetasche, wodurch die Effizienz der Photoreaktion optimiert wird.
Zuletzt konnte die Millisekundendynamik knotenloser Phytochrome und der Einfluss der PHY-Domäne auf diese aufgeklärt werden. Die PHY-Domäne sorgt hierbei durch den verringerten Raum in der Bindetasche dafür, dass die zunächst stattfindende thermische Relaxation des Chromophors signifikant verlangsamt wird, während spätere Änderungen im Photozyklus nur wenig beeinflusst werden.
Auf dem Gebiet der indigoiden Photoschalter konnte, anhand eines sterisch überladenen Hemithioindigo Photoschalters, der Photoisomerisierungsmechanismus des Hula-Twists beobachtet und eine starke Lösungsmittelabhängigkeit der entsprechenden Kinetik aufgezeigt werden. Aus den durchgeführten zeitaufgelösten Anrege-Abtast-Experimenten in verschiedenen Lösungsmitteln konnte ein Modell für die Photodynamik des verwendeten Hemithioindigo Photoschalters entwickelt werden. In unpolaren Lösungsmitteln muss eine hohe Barriere zur produktiven konischen Durchschneidung überwunden werden, was zu Lebenszeiten des angeregten Zustands im Nanosekundenbereich führt. Der Weg zur produktiven konischen Durchschneidung folgt dabei dem Hula-Twist Mechanismus. Dieser Pfad ist in polaren Lösungsmitteln unerreichbar, weshalb eine schnelle Relaxation über eine unproduktive konische Durchschneidung stattfindet.
Im zweiten Projekt auf dem Gebiet der indigoiden Photoschalter wurde anhand der neuartigen Klasse der Iminothioindoxyl Photoschalter ein Schwingungsenergiedonor für Schwingungsenergietransferstudien entwickelt. Das daraus entwickelte Modellsystem, bestehend aus einer künstlichen Aminosäure auf Basis des Iminothioindoxyl Photoschalters und einem daran gekoppelten Schwingungsenergiesensor, wurde charakterisiert und die primäre Photoreaktion untersucht. Es konnte gezeigt werden, dass der angeregte Zustand des Modellsystems kurzlebig ist und unter Abgabe von großen Mengen an Schwingungsenergie zerfällt, unabhängig von der Anregungswellenlänge und dem verwendeten Lösungsmittel. Somit zeigt das entwickelte System vorteilhafte Eigenschaften für Schwingungsenergietransferstudien.
Insgesamt konnten somit die Mechanismen der Photoisomerisierungsreaktionen in knotenlosen Phytochromen und indigoiden Photoschaltern aufgeklärt und daraus die Relevanz der Umgebung für derartige Reaktionen herausgearbeitet werden.
Our mind has the function of representing the physical and social world we are in, so that we can efficiently interact with it. This results in a constant and dynamic interaction between mind and world that produces a balance when representations are at the same time accurate with respect to what the world is communicating to our organism, but also compatible with how our mind works.
A paradigmatic case of this interaction is offered by perception, which is the mental function that represents contingent aspects of the world built from what is captured by our senses. Indeed, the dominant philosophical view in cognitive science is that our perceptual states are representations of the world and not direct access to that world. These representational perceptual states therefor include the aspects of the world they represent and that initiate the perception by stimulating our sensory organs.
Perceptual representations are built using information from the sensory system, i.e., bottom-up information, but are also integrated with information previously acquired, i.e., top-down information, so that perception interacts with memory through language and other mental functions. Such organization is believed to reflect a general mechanism of our mind/brain, which is to acquire and use information to make efficient predictions about the future, continuously updating older information with present information.
This predictive processing works because the world is not random, but shows a regular structure from which reliable expectations can be built. One way that our minds make these predictions is by adapting to the structure of the world in an implicit, automatic and unconscious way, a process that has been called Implicit Statistical Learning (ISL). ISL is a learning process that does not require awareness and happens in an incidental and spontaneous way, with mere exposure to statistical regularities of the world. It is what happens when we learn a language during early childhood, and that allows us to be implicitly sensitive to the phonological structure of speech, or to associate speech patterns with objects and events to learn word meaning.
A specific case of ISL is the learning of spatial configuration in the visual world, which we apply to abstract arrays of items, but most importantly, also to more ecological settings such as the visual scenes we are immersed in during our everyday life. The knowledge we acquire about the structure of visual scenes has been called “Scene Grammar”, because it informs about presence and position of objects in a similar way to what linguistic grammar tells us about the presence and position of words. So, we implicitly acquire the semantics of scenes, learning which objects are consistent with a certain scene, as well as the syntax of scenes, learning where objects are positioned in a consistent way within a certain scene.
More recent developments have proposed that scene grammar knowledge might be organized based on a hierarchical system: objects are arranged in the scene, which offers the more general context, but within a scene we can identify different spatial and functional clusters of objects, called “phrases”, that offer a second level of context; within every phrase, then, objects have different status, with usually one object (“anchor object”) offering strong prediction of where and which are the other objects within the phrase (“local objects”). However, these further aspects of the organization of objects In scenes remain poorly understood.
Another problem relates to the way we measure the structure of scenes to compare the organization of the visual world with the organization in the mind. Typically, to decide if an object appears or not in a certain scene, and whether or not it appears in a certain position within a scene, researchers based their decision on intuition and common-sense, maybe validating those decisions with independent raters. But it has been shown that often these decisions can be limited and more complex information about objects’ arrangement in scenes can be lost.
A potential solution to this problem might be using large set of real-world images, that have annotations and segmentations of objects, to measures statistics about how objects are arranged in the environment. This idea exploits the nowadays larger availability of this kind of datasets due to increasing developments of computer vision algorithms, and also parallels with the established usage of large text corpora in language research.
The goals of the current investigation were to extract object statistics from this image datasets and test if they reliably predict behavioural responses during object processing, as well as to use these statistics to investigate more complex aspects of scene grammar, such as its hierarchical organization, to see if this organization is reflected in the organization of objects in our mind.
IL-38 is the latest discovered cytokine of the IL-1 family and has been added to the IL-36 subfamily. Since its discovery in 2001, increasing evidence suggests predominantly anti-inflammatory properties of IL-38, which are most likely exerted through three potential receptors, the IL-1 Receptor 1 (IL-1R1), IL-36 Receptor (IL-36R) and the IL-1 Receptor Accessory Protein Like 1 (IL-1RAPL1). However, to this date detailed knowledge of IL-38 functioning remains to be examined. Importantly, how IL-38 is processed, secreted from cells and the exact mechanisms of target receptor binding and intracellular signaling are not fully understood. Further, IL-38 has been associated with regulatory functions in autoimmune diseases like systemic lupus erythematosus (SLE) and psoriasis. At the same time however, connections between B cells as indispensable part of immunity and IL-38 remain rare.
In this study we examined the influence of IL-38 in peripheral human blood B cells differentiating into antibody secreting cells using a three-step in vitro differentiation process. We first show that all potential IL-38 binding receptors are present on peripheral blood B cells on a gene expression level and remain detectable throughout B cell differentiation. Next, while B cells treated with exogenous IL-38 depict no differences in early B cell activation markers, the process of B cell differentiation revealed significant alterations in B cell phenotype created by IL-38 treatment. Predominantly on day 7 of the differentiation process, IL-38 treated B cells showed significantly reduced CD38 expression which depicts an important step in development towards plasma cells. We hypothesize that IL-38 acts antagonistically on the IL-1R1 pathway reducing Nuclear factor kappa B (NFκB) expression and consequently decreasing CD38 expression. Further IL-38 reduced early antibody production while increasing IgM secretion at the end stages of differentiation. Next, we repeated the differentiation assays under the influence of additional IL-21 stimulation to further enhance plasma cell development. In these experiments, the impact of IL-38 on B cell differentiation and immunoglobulin production were reduced, indicating a comparatively moderate relevance of IL-38 for B cell differentiation. We then examined how proliferation and cell death were impacted by exogenous IL-38 during B cell differentiation. IL-38 treatment alone significantly reduced B cell survival which was further augmented by IL-21 stimulation. We conclude that IL-38 and IL-21 act synergistically in promoting B cell apoptosis, also depicting an anti-inflammatory property of IL-38. Finally, using a siRNA we successfully performed an IL-38 knockdown experiment of human blood B cells reducing IL-38 expression to 44% measured on day 4 of B cell differentiation. In these experiments we observed reversed tendencies of CD38 expression compared to exogenous IL-38 treatment. Here, IL-38 knockdown cells showed increased CD38 expression indicating endogenous regulatory properties of IL-38 in B cell differentiation.
Our project, for the first time proves direct effects of IL-38 on human B cells. The results support previous research of IL-38 to act anti-inflammatory as it seems to modulate B cell differentiation, survival, and immunoglobulin production in a down-regulatory manner. These findings pave way for more detailed research on the connection between B cell homoeostasis and IL-38 function.
Bioactive small molecules are used in many research areas as important tools to uncover biological pathways, interpret phenotypic changes, deconvolute protein functions and explore new therapeutic strategies in disease relevant cellular model systems. To unlock the full potential of these small molecules and to ensure reliability of results obtained in cellular assays, it is crucial to understand the properties of these small molecules. These properties encompass their activity and potency on their designated target(s), their selectivity towards unintended off-targets and their phenotypic effects in a cellular system. Approved drugs often engage with multiple targets, which can be beneficial for some applications such as treatment of cancer where several pathways need to be inhibited for treatment efficacy. However, targeting multiple key proteins in diverse pathways also increases the possibility for unspecific or unwanted side effects. For many drugs the entire target space that they modulate is not known. This makes it difficult to use these drugs for target deconvolution or functional assays with the aim to understand the underlying biological processes. In contrast to drugs, for mechanistic studies, a good alternative are chemical tool compounds so called chemical probes that are usually exclusively selective as well as chemogenomic compounds, that inhibit several targets but have narrow selectivity profiles. Because they are mechanistic tools, chemical tool compounds must meet stringent quality criteria and they are therefore well characterized in terms of their potency, selectivity and cellular on-target activity. To ensure that an observed phenotypic effect caused by a compound can be attributed to the described target(s), it is essential to study also properties of chemical tools leading to unspecific cellular effects. There are a variety of unspecific effects that can be caused by physiochemical compound properties that can interfere with phenotypic assays as well as functional compound evaluations. One of these effects is low solubility causing toxicity or intrinsic fluorescence potentially interfering with assay readouts. But unanticipated cellular responses can also arise from unspecific binding, accumulation in cellular compartments or damage caused to organelles such as mitochondria or the cytoskeleton that can result in the induction of diverse forms of cell death.
In this study, we investigated the influence of a variety of small molecules on distinct cell states, by establishing and validating high-content imaging assays, which we called Multiplex assay. This assay portfolio enabled us to detect different cellular responses using diverse fluorescent reporters, such as the influence of a compound on cell viability, induction of cell death programs and modulation of the cell cycle. Additionally, general compound properties such as precipitation and intrinsic fluorescence were simultaneously detected. The assay is adaptable to assess other cellular properties of interest, such as mitochondrial health, changes in cytoskeletal morphology or phospholipidosis. A significant advantage of the assay is that we are using live cells, so we can capture dynamic cellular changes and fluctuations that can be crucial for the understanding of cellular responses.
Biological membranes serve as physical barriers in cells and organelles, enabling the maintenance of chemical or ionic gradients that are essential for triggering various integral, peripheral, or lipid-anchored membrane proteins, necessary for their life-essential functions. The study of membrane proteins has unique challenges due to their hydrophobic nature, limited expression levels, and inherent flexibility. Single-particle analysis (SPA) enables the determination of high-resolution three-dimensional structures using minimal amounts of specimen without the need for crystallization. Additionally, cryogenic electron tomography (cryo-ET) and subtomogram averaging (StA) offer the ability to study membrane protein complexes, cellular architecture, and molecular interactions while preserving close-to-life conditions. With ongoing improvements in cryo-EM technologies, obtaining high-resolution structures of membrane proteins in vitro can allow people to understand their mechanisms and functions, and to facilitate the design and optimization of new therapeutic agents. Furthermore, there has been significant growth in the structural characterization of membrane proteins in situ, as studying biomolecules within their physiological context is an ultimate goal in structural biology for a comprehensive understanding of molecular networks in cells.
Due to the amphipathic nature of membrane proteins, their production, purification, and isolation pose significant challenges compared to soluble proteins. To maintain the membrane protein fold in an aqueous buffer after disrupting lipid membranes, the use of detergents, amphipols, lipid nanodiscs, saposin-lipoprotein (salipro), styrene-maleic acid co-polymer lipid particles (SMALPS) is common and often essential. A limitation of the membrane-mimetic systems is the absence of an actual lipid bilayer environment. To address this issue, membrane proteins can be reconstituted into liposomes, and this closed membrane environment closely mimics the physiological conditions of the proteins. The use of liposomes for structure determination is expected to significantly expand in the in vitro study of membrane proteins and membrane-associated proteins, particularly for capturing transient complexes in specific functional states.
Resolving the structures of membrane proteins in their native cellular context is considered the ideal approach for understanding their functions and associated molecular networks. While single-particle cryo-EM can achieve higher resolution than subtomogram averaging, it often requires at least partial purification of the target molecules from their native environment inside cells and tissues. By combining averaging tools on subvolumes obtained through cryo-ET, structures can currently be determined at resolutions of 10-30 Å. With ongoing advancements and refinements in cryo-ET methodologies, routine high-resolution structure determination in situ is poised to become a valuable tool for both structural and cell biologists in the long run, and the field holds great promise for further expanding our understanding of cellular structures and processes at the molecular level.
The main aim of this thesis is to further our knowledge of the structure and function of a small prokaryotic voltage-gated sodium ion channel, NaChBac in liposomes, and a large knob complex found on the surface of Plasmodium falciparum-infected human erythrocyte by cryo-ET and StA.
Chapter 2 presents the first StA map of the 120-kDa NaChBac embedded in liposomes under a resting membrane potential at a modest resolution of 16 Å. The approach presented in this study, which can be widely applied to cryo-EM analysis of membrane proteins, with a specific focus on membrane proteins with small soluble domains, lays the foundation for cryo-ET and StA of integral or peripheral membrane proteins whose functions are affected by transmembrane electrochemical gradients and/or membrane curvatures. Chapter 3 shows the first cryo-EM structure of the supramolecular knob complex in P. falciparum-infected human erythrocyte. While a previous study provided an overall architectural view of knobs using negative stain tomography, the in situ structure bridges this gap, guiding future investigations into the molecular composition and the role of these native knobs in Plasmodium infection and immunity.
This thesis opens up several promising lines for future studies of membrane proteins in vitro and in situ, where other membrane proteins can be studied in physiologically relevant environments. Already with the present generation of cryo-EM hardware and software, this thesis represents pioneering research in the field of membrane protein structural biology.
Metastatic rhabdomyosarcoma (RMS) is one of the most challenging tumor entities in pediatric oncology caused by treatment resistances and immune escape. Novel chimeric antigen receptor (CAR) immunotherapies as specific, effective and safe treatment provide antitumor cytotoxicity by soluble factors and ligands/receptor signals. Besides its intrinsic potential as innate immune cell the ErbB2-sprecific CAR-engineered natural killer (NK)-92 cell line NK-92/5.28.z also provides CAR-mediated cytotoxicity, resulting in a high lytic capacity against 2D and 3D RMS cell structures in vitro. Also in a xenograft model using immune deficient NOD/Scid/IL2Rγ-/- (NSG) mice inhibited NK-92/5.28.z the tumor growth as long as the cells were administered and therefore prolonged the survival of the animals. The NK-92/5.28.z were distributed by the blood circulation and subsequently infiltrated the tumor tissue. Due to the malignant origin of the NK-92 cell line the cells must be irradiated prior to the use in patients. While the irradiation hampered the proliferation of NK-92/5.28.z cells, the cytotoxicity against RMS cells in vitro is retained for at least 24 hours. In the xenograft model irradiated NK-92/5.28.z cells inhibited the tumor growth but to a lower extent than untreated cells, as irradiated cells have only a limited life span in vivo no durable persistence and remission was achieved. Therefore, combinatorial approaches were focused and while blocking of the PD-1/PD-L1 axis did not resulted in a significantly enhanced tumor cell lysis, the combinatorial treatment with proteasome inhibitor bortezomib exhibited a significant enhanced cytotoxicity against RMS cells at least in vitro. Bortezomib itself induces caspase mediated apoptosis and also the upregulates the expression of TRAIL receptor DR5. The corresponding ligand TRAIL is expressed on the surface of the NK-92/5.28.z and pursuing experiments with purified TRAIL and bortezomib revealed a synergism. NK-92/5.28.z as an off-the-shelf product is therefore feasible for the therapy of metastatic RMS, but it might be necessary to support the cytotoxicity by additive agents like proteasome inhibitor bortezomib to archive durable remission.
Another cell population suitable for RMS CAR-immunotherapy are cytokine induced killer (CIK) cells, a heterogenous cell population generated from autologous PBMCs consisting of T, NK and T-NK cells. Lentivirally transduced ErbB2-specific CAR-CIK cells were previously shown to inhibit the tumor engraftment in a RMS xenograft model. However, lentiviral transduced adoptive immunotherapies bear risks for the transfer in patients, therefore the Sleeping Beauty Transposon System (SBTS) as a non-viral method, which integrates the CAR coding DNA by a cut-and-paste mechanism from a minicircle (MC) into the CIK cells genome is more feasible for the generation of CAR-CIK cells. The Sleeping beauty transposase mRNA and the MC were transferred in the cell by nucleofection, different factors influence the transfection efficiency and viability of the CIK cells in this harsh procedure. In preliminary experiments with MC Venus, a MC encoding eGFP, the highest transfection efficiency with the best proliferative capacity was achieved with cells on day 3 of CIK culture and without the addition of autologous monocytes as feeder cells. For the CAR construct the protocol was further improved by adjusting crucial factors, for this construct the best results were achieved on day 0, without irradiated PBMCs as feeder cells and cultivation in X-Vivo10 medium supplemented with human fresh frozen plasma. The X-Vivo10 medium enhanced the percentage of NK- and T-NK cells significantly compared to CAR-CIK cells cultured in RPMI. Since the gene transfer by SBTS resulted in CAR-CIK cells stably expressing a CAR in all subpopulations, resulting in a significantly enhanced cytotoxicity against RMS cells in vitro, these cells were compared to lentiviral transduced CAR-CIK cells in vitro and in vivo. While the SBTS CAR-CIK cells were superior to viral CAR-CIK cells in 2D short-term assays, the viral cells showed higher lytic capacity in 3D spheroid long-term assays. In a RMS xenograft model lentiviral CAR-CIK cells significantly prolonged the survival of mice and persisted, whereas SBTS CAR-CIKs did not favor the overall survival compared to untreated controls and also did not persist. Phenotypic analysis revealed a highly cytotoxic CD8+ and late effector memory dominant phenotype for SBTS CAR-CIK cells supporting short-term cytotoxicity but also more prone for exhaustion, while viral CAR-CIK cells showed a more balanced phenotype for memory and cytotoxicity. Therefore, the SBTS is feasible for the ErbB2-CAR gene transfer in CAR-CIK resulting in a stable CAR-expression with high short-term cytotoxicity, but these cells are also more prone to exhaustion and the protocol might be adapted further to prevent this limitation for in vivo application.
This work underlines the hard-to-treat characteristics of metastatic RMS, but also shows some approaches for further evaluation like the combination of NK-92/5.28.z cells with bortezomib and the feasibility of the generation of CAR-CIK cells via SBTS.
With the rise of digitalization and ubiquity of media use, both opportunities and challenges emerge for academic learning. One prevalent challenge is media multitasking, which can become distracting and hinder learning success. This thesis investigates two facets of this issue: the enhancement of data tracking, and the exploration of digital interventions that support self-control.
The first paper focuses on digital tracking of media use, as a comprehensive understanding of digital distractions requires careful data collection to avoid misinterpretations. The paper presents a tracking system where media use is linked to learning activities. An annotation dashboard enabled the enrichment of the log data with self-reports. The efficacy of this system was evaluated in a 14-day online course taken by 177 students, with results confirming the initial assumptions about media tracking.
The second paper tackles the recognition of whether a text was thoroughly read, an issue brought on by the tendency of students to skip lengthy and demanding texts. A method utilizing scroll data and time series classification algorithms is presented and tested, showing promising results for early recognition and intervention.
The third paper presents the results of a systematic literature review on the effectiveness of digital self-control tools in academic learning. The paper identifies gaps in existing research and outlines a roadmap for further research on self-control tools.
The fourth paper shares findings from a survey of 273 students, exploring the practical use and perceived helpfulness of DSCTs. The study highlights the challenge of balancing between too restrictive and too lenient DSCTs, particularly for platforms offering both learning content and entertainment. The results also show a special role of media use that is highly habitual.
The fifth paper of this work investigates facets of app-based habit building. In a study over 27 days, 106 school-aged children used the specially developed PROMPT-app. The children carried out one of three digital activities each day, each of which was supposed to promote a deeper or more superficial processing of plans. Significant differences regarding the processing of plans emerged between the three activities, and the results suggest that a child-friendly planning application needs to be personalized to be effective.
Overall, this work offers a comprehensive insight into the complexity and potentials of dealing with distracting media usage and shows ways for future research and interventions in this fascinating and ever more important field.
Global analysis of halogenated trace gases in the UTLS: from long-lived to short-lived substances
(2023)
In this dissertation, the distribution of chlorinated and brominated substances in the upper troposphere and lower stratosphere is investigated. These substances contribute significantly to the catalytic decomposition of ozone and are involved in the recurrent formation of the polar ozone hole in the Antarctic winter and spring. The Montreal Protocol, a multilateral environmental treaty to protect the ozone layer, has successfully reduced emissions of long-lived chlorine- and bromine-containing substances. Short-lived chlorinated and brominated substances, some of which are natural and anthropogenic in origin, are not regulated by the Montreal Protocol and it can be assumed that their relative contribution to the stratospheric halogen budget will increase, while the contribution of long-lived compounds will steadily decrease. The distribution of long- and short-lived halogenated substances are part of current research. For the upper troposphere and lower stratosphere, the very short-lived substances are particularly important. The lower stratosphere needs special investigation in this respect, since its composition is influenced by different transport processes. The influences on ozone trends in the lower stratosphere are subject to great uncertainties. Especially in the Southern Hemisphere, the number of observations is very limited.
In this work, the GhOST (Gas chromatograph for Observational Studies using Tracers) instrument was used during the SouthTRAC measurement campaign on the German HALO (High Altitude and LOng range) research aircraft, providing observations of halogenated hydrocarbons in Antarctic late winter to early spring 2019, a generally poorly sampled region. The polar vortex was, compared to previous years, significantly weaker and shifted towards the eastern South Pacific and South America. From the airborne measurements of chlorinated source gases, inorganic chlorine (the sum of active chlorine and reservoir gases; Cly) could be inferred with the result that Cly within the vortex increased up to 1687 ± 19 ppt at 385 K potential temperature, accounting for about 50 % of the total chlorine within the vortex and only 15 % of the total chlorine in the southern mid-latitudes. A comparison with the Northern Hemisphere could be made using the PGS measurement campaign in the Arctic winter 2015/2016. Under comparable conditions (season and distance from the tropopause), only 40 % of the total chlorine was in the inorganic form within the Arctic polar vortex and about 20 % was found in the mid-latitudes of the Northern Hemisphere. In addition, about 540 ppt more Cly was present in the Antarctic vortex than in the Arctic vortex, exceeding the annual variations previously reported for Antarctica.
The mean age of air plays an essential role in the derivation of Cly via the organic source gases, as was done in this work. A new method for determining the mean age of air from observational data has been introduced that accounts for extra-tropical input to the stratosphere in addition to tropical input. This new method was compared with the previously used method, which considered only the tropical input. The new method shows more realistic values especially near the tropopause. On average, the air of the lower stratosphere in the Northern Hemisphere was older than in the Southern Hemisphere by about 0.5 ± 0.3 years. About 65 K above the tropopause, the pattern changed with older air in the mid-latitudes of the Northern Hemisphere, but older air in high latitudes of the Southern Hemisphere, which implies differences in the strength and isolation of the respective polar vortex as well as the wave forcing in the shallow branch of the Brewer-Dobson circulation of the respective hemisphere. This is in good agreement with the distribution of Cly. The difference in the lower stratosphere was not clearly evident with the old method and it can be assumed that investigations of the differences in Cly of Northern and Southern Hemisphere will benefit from the new method.
Finally, the global and seasonal distribution of the two most important representatives of the short-lived brominated substances, CH2Br2 and CHBr3, was investigated. For this purpose, two additional HALO measurement campaigns have been used, the 2012 TACTS measurement campaign and the 2017 WISE measurement campaign, as well as the HIAPER Pole-to-Pole Observations (HIPPO) and Atmospheric Tomography (ATom) measurement campaigns. Observations of CH2Br2 show a pronounced seasonality in the free and upper troposphere of both hemispheres with slightly larger values in the Northern Hemisphere. CHBr3, on the other hand, shows a generally higher variability and lower seasonality with larger mixing ratios at mid and high latitudes in the northern hemispheric winter and autumn. A comparison of the lower stratosphere is limited to autumn and spring of both hemispheres due to the limited data basis of the observations. The distributions in each spring are similar (less than 0.1 ppt differences for e.g., CH2Br2). In hemispheric autumn, larger differences are evident with substantially smaller mixing ratios in the southern hemispheric lower stratosphere. This suggests that the transport processes of the two hemispheres may be different and implies that the input of tropospheric air (flushing) to the Northern Hemisphere lowest stratosphere is more efficient than in the Southern Hemisphere. Vertical profiles of CH2Br2 and CHBr3 in the mid-latitudes of both hemispheres and resulting vertical gradients support this conjecture. However, the Southern Hemisphere data set is insufficient to quantify this difference and further measurements are needed.
Cytochrome P450 enzymes are a large superfamily of membrane-bound heme-containing monooxygenases. They are essential for the oxidative metabolism of endogenous substrates such as steroids and fatty acids, and biotransformation of xenobiotic substrates such as pollutants and drugs. Although the highest expression of CYPs is found in the liver, their cardiovascular expression is not negligible with CYP450 subfamilies being responsible for the production of vasoactive lipids. Of importance, the enzymatic activity of all microsomal CYP450 isoenzymes is dependent on the cytochrome P450 reductase (POR), an electron donor.
In the first part of this work, the role of cytochrome P450 monooxygenases on the biotransformation of organic nitrates was investigated. Recombinant SupersomesTM were selected and incubated with NTG and PETN, where nitrite release was measured as a nitric oxide (NO) footprint. The capacity of the recombinant POR/CYP450 system to release nitrite from NO prodrugs was shown to be CYP-specific and dose-dependent. To study the involvement of CYP450 enzymes in the vascular biotransformation of organic nitrates in vivo, a smooth muscle-cell specific, inducible knockout model of POR (smcPOR-/-) was generated. Organ chamber experiments revealed that the vascular POR/CYP450 system had no impact on the dilator response of NTG and PETN. In line with previous publications, inhibition of ALDH2, known as the main enzyme responsible for the activation of NTG and PETN, and/or abolishment of the endogenous NO production did not reveal a contribution of the POR/CYP450 system to the dilator response of NTG and PETN. To better understand these results, we looked at the expression of the hepatic and vascular expression of the POR/CYP450 system where the hepatic was increased by 10- to 40-fold as shown by Western blot analysis. We concluded that due to insufficient vascular expression of CYP450 enzymes their contribution to the bioactivation of NTG and PETN is only minor.
The second part of this work focused on the cardiac relevance of endothelial isoenzymes. For that purpose, an endothelial cell-specific, tamoxifen-inducible knockout model of POR was generated and characterized in the present study. RNA-sequencing of the heart of healthy mice revealed that the CYP450 expression is cell-specific with cardiac endothelial cells (ECs) exhibiting an enrichment in the expression of the Cyp4 family (ω-oxidation of fatty acids) and of the Cyp2 family (production of EETs). Under non-stredded conditions (i.e. 30 days after inducing the knockout by tamoxifen feeding), endothelial deletion of POR was associated with cardiac remodelling as observed by an increase in the ratio of heart weight to body weight and an increase in the cardiomyocyte area. RNA-sequencing of cardiac ECs suggested that loss of POR might alter ribosomal biogenesis and protein synthesis, which could potentially affect the cardiac contractility in ecPOR-/- mice. Metabolomics from cardiac tissue of CTL and ecPOR-/- mice were not indicative for an important metabolic function of the endothelial POR/CYP450 system in the heart. The combination of transverse aortic constriction (TAC) with endothelial deletion of POR accelerates the development of heart failure in mice as detected by a reduction in cardiac output and stroke volume. These effects were mediated most likely by a reduction in vascular EETs production, which increases vascular stiffness, resulting in cardiac remodeling.
Proteins are biological macromolecules playing essential roles in all living organisms.
Proteins often bind with each other forming complexes to fulfill their function. Such protein complexes assemble along an ordered pathway. An assembled protein complex can often be divided into structural and functional modules. Knowing the order of assembly and the modules of a protein complex is important to understand biological processes and treat diseases related to misassembly.
Typical structures of the Protein Data Bank (PDB) contain two to three subunits and a few thousand atoms. Recent developments have led to large protein complexes being resolved. The increasing number and size of the protein complexes demand for computational assistance for the visualization and analysis. One such large protein complex is respiratory complex I accounting for 45 subunits in Homo sapiens.
Complex I is a well understood protein complex that served as case study to validate our methods.
Our aim was to analyze time-resolved Molecular Dynamics (MD) simulation data, identify modules of a protein complex and generate hypotheses for the assembly pathway of a protein complex. For that purpose, we abstracted the topology of protein complexes to Complex Graphs of the Protein Topology Graph Library (PTGL). The subunits are represented as vertices, and spatial contacts as edges. The edges are weighted with the number of contacts based on a distance threshold. This allowed us to apply graph-theoretic methods to visualize and analyze protein complexes.
We extended the implementations of two methods to achieve a computation of Complex Graphs in feasible runtimes. The first method skipped checks for contacts using the information which residues are sequential neighbors. We extended the method to protein complexes and structures containing ligands. The second method introduced spheres encompassing all atoms of a subunit and skipped the check for contacts if the corresponding spheres do not overlap. Both methods combined allowed skipping up to 93 % of the checks for contacts for sample complexes of 40 subunits compared to up to 10 % of the previous implementation. We showed that the runtime of the combined method scaled linearly with the number of atoms compared to a non-linear scaling of the previous implementation We implemented a third method fixing the assignment of an orientation to secondary structure elements. We placed a three-dimensional vector in each secondary structure element and computed the angle between secondary structure elements to assign an orientation. This method sped up the runtime especially for large structures, such as the capsid of human immunodeficiency virus, for which the runtime decreased from 43 to less than 9 hours.
The feasible runtimes allowed us to investigate two data sets of MD trajectories of respiratory complex I of Thermus thermophilus that we received. The data sets differ only by whether ubiquinone is bound to the complex. We implemented a pipeline, PTGLdynamics, to compute the contacts and Complex Graphs for all time steps of the trajectories. We investigated different methods to track changes of contacts during the simulation and created a heat map put onto the three-dimensional structure visualizing the changes. We also created line plots to visualize the changes of contacts over the course of the simulation. Both visualizations helped spotting outstandingly flexible or rigid regions of the structure or time points of the simulation in which major dynamics occur.
We introduced normalizations of the edge weights of Complex Graphs for identi-fying modules and predicting the assembly pathway. The idea is to normalize the number of contacts for the number of residues of a subunit. We defined five different normalizations.
To identify structural and functional modules, we applied the Leiden graph clustering algorithm to the Complex Graphs of respiratory complex I and the respiratory supercomplex. We examined the results for the different normalizations of the weights of the Complex Graphs. The absolute edge weight produced the best result identifying three of four modules that have been defined in the literature for respiratory complex I.
We applied agglomerative hierarchical clustering to the edges of a Complex Graph to create hypotheses of the assembly pathway. The rationale was that subunits with an extensive interface in the final structure assemble early. We tested our method against two existing methods on a data set of 21 proteins with reported assembly pathways. Our prediction outperformed the other methods and ran in feasible runtimes of a few minutes at most.
We also tested our method on respiratory complex I, the respiratory supercomplex and the respiratory megacomplex. We compared the results for the different normalizations with an assembly pathway of respiratory complex I described in the literature. We transformed the assembly pathways to dendrograms and compared the predictions to the reference using the Robinson-Foulds distance and clustering information distance. We analyzed the landscape of the clustering information distance by generating random dendrograms and showed that our result is far better than expected at random. We showed in a detailed analysis that the assembly prediction using one normalization was able to capture key features of the assembly pathway that has been proposed in the literature.
In conclusion, we presented different applications of graph theory to automatically analyze the topology of protein complexes. Our programs run in feasible runtimes even for large complexes. We showed that graph-theoretic modeling of the protein structure can be used to analyze MD simulation data, identify modules of protein complexes and predict assembly pathways.
Die Kernspinresonanz(NMR)-Spektroskopie ist ein leistungsstarkes analytisches Werkzeug. Allerdings ist ihre Empfindlichkeit aufgrund geringer Wechselwirkungs-energie zwischen den Kernspins und dem externen Magnetfeld begrenzt. Die dynamische Kernpolarisation (DNP) erhöht DNP die Empfindlichkeit der NMR, indem sie die Polarisation von ungepaarten Elektronenspins auf die benachbarten Kernspins überträgt. In den letzten Jahrzehnten hat die DNP bei hohen Magnetfeldern erneut an Aufmerksamkeit gewonnen, bedingt durch die Verfügbarkeit leistungsstarker Gyrotron-Mikrowellen(mw)-Quellen. Jedoch wurde die Anwendung von DNP für Flüssigkeiten im Vergleich zu Festkörperproben bei niedrigen Temperaturen (≈100 K) weit weniger erforscht. Zwei Gründe können dafür hauptsächlich benennt werden. Bei hohen Magnetfeldern (entsprechend hohen mw-Frequenzen) wird die mw-Strahlung sehr stark von Flüssigkeiten absorbiert, was zu einer starken Erwärmung führt. Darüber hinaus sind die Translations- und Rotationsdynamik der Radikale und Target-Molekülen nicht schnell genug, um Spectraldichten bei den hohen mw-Frequenzen zu erzeugen, die für eine Overhauser-Effekt (OE) DNP Verstärkung benötigt werden. In dieser Arbeit wird gezeigt, Flüssigzustands-DNP bei hohen Magnetfeldern, insbesondere bei 9,4 T, mit hocheffizienten DNP-Probenköpfen möglich ist.
Der von skalaren Hyperfein-Wechselwirkung (hfWW) angetriebene OE ist für Flüssigzustands-DNP-Forschungen von besonderem Interesse, da der von der Theorie vorhergesagte Mechanismus auch bei hohen Magnetfeldern noch effizient ist. In der vorliegenden Arbeit wurde eine Methode zur Vorabprüfung potenzieller DNP-Kandidaten durch Messungen ihrer paramagnetischen NMR-Verschiebungen vorgeschlagen und untersucht. Wir beobachtete signifikante 13C-skalare OE DNP-Verstärkungen bis zu 50 bei den ausgewählten kleinen Biomolekülen, einschließlich Imidazol, Indol, verschiedene Aminosäuren und Kohlenhydraten. Das Lösungssystem wurde auch von organischen Lösungsmitteln auf Wasser erweitert.
Im Kontext von dipolarer OE DNP haben wir den Beitrag der Rotation des Radikals neben der Translationsbewegung zwischen Radikal und Target-Molekül zur OE DNP-Effizienz systematisch untersucht, indem wir verschiedene Nitroxidderivate mit unterschiedlichen Ringgeometrien und Substituenten verwendet haben. Mithilfe eines Models, das eine 'out-sphere' Translationsbewegung und eine 'inner-sphere' Rotationsbewegung des Radikal-Lösungsmittel-Komplexes enthält, konnte unsere Beobachtungen quantitativ simuliert werden. Außerdem wurde ein anderes Model untersucht, das eine Translationsbewegung mit der Rotation von Radikalen, bei denen das ungepaarte Elektron nicht im Zentrum sitzt, kombiniert.
Eine weitere neue Entdeckung in der DNP bei hohen Magnetfeldern waren der beobachtete SE (Solid-Effekt) an Lipidmolekülen mit BDPA-Radikal oberhalb der Lipidphasen-übergangstemperatur. Die neue Anwendung von SE DNP bietet einen alternativen Mechanismus zur OE DNP in Flüssigkeiten bei hohen Magnetfeldern und könnte möglicherweise auf Makromoleküle mit relativ langsamer Rotationsbewegung angewendet werden.
Wir haben zusätzliche Untersuchungen an den Lipiddoppelschichten mit Nitroxid-radikale durchgeführt, basierend auf dem beobachteten 1H DNP-Verstärkungen in einer viskosen Lipidumgebung bei 9,4 T . Durch Messung des Feldprofils wurden DNP-Verstärkungen durch OE und SE in Abhängigkeit ihrer relativen Verschiebungen von der Elektronen-Larmor-Frequenz bestimmt. Die individuelle OE DNP-Effizienzen für Protonen des Wassers, der Lipid-Cholin-Kopfgruppen oder der Lipid-Acylketten wurde bestimmt. Dadurch wird ein quantitativer Vergleich mit MD-Simulationen ermöglicht. Obwohl die von der MD-Simulationen vorhergesagten DNP Kopplungsfaktoren noch deutliche Abweichungen von den experimentellen Beobachtungen aufweisen, wird die schnelle Dynamik nahe der Elektronen-Larmor-Frequenz, die für einen erfolgreichen OE DNP Transfer erforderlich ist, von den MD-Simulationen gut erfasst.
In der Arbeit wurden auch zwei unterschiedliche Dreifachresonanz-DNP-Experimente durchgeführt. Zum einen wurde 13C OE DNP unter 1H-Entkopplung in wässriger Natriumpyruvatlösung, und zum anderen 13C-NMR von Glycin, verstärkt durch SE DNP an 1H zusammen mit einem 1H-13C INEPT-Polarisationstransfer, im Rahmen dieser Doktorarbeit durchgeführt.
In this thesis, we use lattice QCD to study a part of the QCD phase diagram, specifically the QCD phase transition at mu=0, where the QCD matter changes from hadron gas to quark-gluon plasma (QGP) with increasing temperature.
This phase transition takes place as a crossover, but when theoretically changing the masses of the quarks, the order of the phase transition changes as well.
We focus on the region of heavy quark masses with Nf=2 flavours, where we investigate the critical quark mass at the second order phase transition in the form of a Z2 point between the first-order and the crossover region.
The first-order region is positioned at infinitely heavy quarks. As the quark masses decrease, the associated Z3 centre symmetry breaks explicitly, causing the first-order phase transition to weaken until it turns into the Z2 point and finally into a crossover.
We study this Z2 point using simulations at Nf=2 and lattices of the sizes Nt = {6, 8, 10, 12}, partially building on previous work, in which the simulations for Nt = {6, 8, 10} were started.
The simulations for Nt=12 are not finished yet though, but we were able to draw some preliminary conclusions. These simulations are run on GPUs and CPUs, using the codes Cl2QCD and open-QCD-FASTSUM, respectively. Afterwards, the data goes through a first analysis step in the form of the Python program PLASMA, preparing it for the two techniques we use to analyse the nature of the phase transition.
As a first, reliable analysis method, we perform a finite size scaling analysis of the data to find the location of the Z2 point. Since we are using lattice QCD, performing a continuum extrapolation is necessary to reach the continuum result.
In regard to this, the finite size scaling analysis method is hampered by the excessive amount of simulated data that is needed regarding statistics and the total number of simulations, which is why this thesis is only an intermediate step towards the continuum limit.
This also leads to the second analysis technique we explore in this thesis.
We start to design a Landau theory which describes the phase boundary for heavy masses at Nf=2 based on the simulated data.
We develop a Landau functional for every Nt we have simulation data for.
Albeit the results are not at the same precision as the ones from the finite size scaling analysis, we are able to reproduce the position of the Z2 point for every Nt.
Even though we are not able to take a continuum extrapolation right now, after more development takes place in future works, this approach might, in the long run, lead to a continuum result that won't need as many simulations as the finite size scaling analysis.
Im Rahmen dieser Arbeit wurde ein verbessertes Buncher-System für Hochfrequenzbeschleuniger mit niedrigem und mittlerem Ionenstrom entwickelt. Die entwickelte Methodik hat ermöglicht, ein effektives, vereinfachtes Buncher-System für die Injektion in HF-Beschleuniger wie RFQs, Zyklotrons, DTLs usw. zu entwerfen, welches kleine Ausgangsemittanzen und beträchtliche Strahltransmissionen erzielt. Um einen mono-energetischen und kontinuierlichen Strahl aus einer Ionenquelle für den Einschuss in eine Hochfrequenz-Beschleunigerstruktur anzupassen, wird eine Energiemodulation benötigt, die im weiteren Verlauf (Driftstrecke) zur Längsfokussierung des Strahls führt. Durch eine Sägezahnwellenform wird die ideale Energiemodulation aufgrund der linearen Abhängigkeit zwischen der Energie der Teilchen und ihren relativen Phasen erreicht. Dies ist jedoch technologisch nicht möglich, da Teilchenbeschleuniger Spannungsniveaus im Bereich kV bis 100 kV benötigen. Dagegen ist für eine solche Zielsetzung eine räumliche Trennung der sinusförmigen Anregung mit der Grundfrequenz und höheren Harmonischen möglich.
Daher wurde in dieser Arbeit ein verbesserter harmonischer Buncher, der sogenannte „Double Drift Harmonic Buncher - DDHB“ entwickelt, welcher zahlreiche Vorteile hat. Eine geringe longitudinale Emittanz sowie finanzielle Aspekte sprechen für diesen Lösungsansatz. Die Hauptelemente eines DDHB Systems sind zwei Kavitäten, die durch eine Driftlänge L1 getrennt sind, wobei der erste Resonator mit der Grundfrequenz bei -90° synchroner Phase und angelegter Spannung V1 und der zweite Resonator bei der zweiten harmonischen Frequenz mit +90 synchroner Phase und angelegter Spannung V2 betrieben werden. Schließlich ist eine zweite Drift L2 am Ende des Arrays für eine longitudinale Strahlfokussierung am Hauptbeschleunigereingang erforderlich. Somit erfüllt ein solcher Aufbau das angestrebte Ziel einer hohen Einfangseffizienz und einer kleinen longitudinalen Emittanz durch Anpassen der vier Designparameter V1, L1, V2 und L2.
Das Verständnis der Fokussierung, ausgehend von einem Gleichstromstrahl, einschließlich der Raumladungskräfte, ist einer der wesentlichen Bestandteile der Strahlphysik. Viele kommerzielle Codes bieten Simulationsmöglichkeiten in diesem Anwendungsbereich. Ihre Ansätze bleiben jedoch dem Anwender meist verborgen, oder es fehlen wichtige Details zur genauen Abbildung des vorliegenden Konzepts. Daher bestand eine Hauptaufgabe dieser Arbeit darin, einen speziellen Multi-Particle-Tracking-Beam-Dynamics-Code (BCDC) zu entwickeln, bei dem der Raumladungseffekt während des Bunch-Vorgangs, ausgehend von einem DC-Strahl berechnet wird. Der BCDC - Code enthält elementare Routinen wie Drift und Beschleunigungsspalt oder magnetische Linse für die transversale Strahlfokussierung und Raumladungsberechnungen unter Berücksichtigung der Auswirkungen der nächsten Nachbar-Bunche (NNB). Der Raumladungsalgorithmus in BCDC basiert auf einer direkten Coulomb- Gitter-Gitter-Wechselwirkung und Berechnungen des elektrischen Feldes durch Lokalisierung der Ladungsdichte auf einem kartesischen Gitter. Um Genauigkeit zu erreichen, werden die Feldberechnungen in Längsrichtung symmetrisch um das zentrale Bucket (βλ-Größe) erweitert, so dass das Simulationsfeld dreimal so groß ist. Die zentrale Teilchenverteilung wird dann nach jedem Schritt in die benachbarten Buckets kopiert. Anschließend werden die resultierenden Felder im Hauptgitterfeld neu berechnet, indem die elektrischen Felder im Hauptgitterfeld mit denen aus den benachbarten Regionen überlagert werden. Ohne diese Methode würde z. B. ein kontinuierlicher Strahl, welcher jedoch in der Simulation nur innerhalb einer Zelle der Länge βλ definiert ist, zu einer resultierenden Raumladungsfeldkomponente Ez an beiden Rändern der Zelle führen. Ein solches unphysikalisches Ergebnis konnte durch die Anwendung der NNB-Technik bereits weitgehend eliminiert werden. Zusätzlich zum NNB-Feature verfügt das BCDC über eine weitere Besonderheit nämlich die sogenannte Raumladungskompensation (SCC). Aufgrund der Ionisierung des Restgases kommt es entlang des Niederenergiestrahltransports zu einer teilweisen Raumladungskompensation, und zwar am und hinter dem Bunchersystem mit unterschiedlichen Prozentsätzen. Eines der Hauptziele des DDHB-Konzepts besteht darin, es für Hochstromstrahlanwendungen zu entwickeln. Dabei ermöglicht die teilweise Raumladungskompensation, dass das Design in der Praxis höhere Stromniveaus erreicht. Dadurch ist das BCDC-Programm ein leistungsstarkes Werkzeug für Simulationen in künftigen, stromstarken Projekten. Proof-of-Principle-Designs wurden in dieser Arbeit entwickelt.
This work addresses the investigation of the biosynthesis mechanisms of type II polyketide synthase (PKS) and fatty acid synthase (FAS) derived specialized metabolites (SMs) from Photorhabdus laumondii.
The elucidation of the biosynthetic pathway of the bacterial 3,5-dihydroxy-4-isopropyl-trans-stilbene (IPS) was one of the major topics of this thesis. IPS exhibits several bioactive characteristics as it inhibits the phenoloxidase of insects, acts antibacterial, but also influences the soluble epoxide hydrolase which is involved in inflammatory reactions. It was recently approved as a treatment against psoriasis by the FDA and is the first Photorhabdus derived drug.
The stilbene generation in Photorhabdus requires the formation of the two acyl-carrier-protein (ACP) bound 5-phenyl-2,4-pentadienoyl- and isovaleryl-β-ketoacyl-moieties. The ketosynthase (KS)/cyclase StlD catalyzes a ring formation via a Michael-addition between the two intermediates which is then further processed by an aromatase. The formation of 5-phenyl-2,4-pentadienoyl-ACP was shown via in vitro assays with purified proteins by proving the influence of the KS FabH, ketoreductase FabG and dehydratase FabA or FabZ of the fatty acid metabolism. While E. coli was able to complement most of these enzymes in attempts to produce IPS in the heterologous host, the Photorhabdus derived FabH was not replaceable despite 73 % sequence identity with the E. coli based isoenzyme, acting as a gatekeeper enzyme for cinnamic acid (CA) moieties. Furthermore, the ability to incorporate meta-substituted halogenated CA-derivatives was shown in order to produce 3-chloro- and 3-bromo-IPS. While studying the stilbene biosynthesis, the ability of Photorhabdus and Xenorhabdus to produce hydrazines was also discovered.
The second investigated biosynthesis was the formation of benzylideneacetone (BZA). BZA is produced by Photorhabdus and Xenorhabdus strains acting as a suppressor for the immune cascade of insects and has also antibiotic activities towards Gram-negative bacteria. Due to its structural similarity towards CA and the intermediates during the stilbene formation, a shared mechanism for Photorhabdus and Xenorhabdus budapestensis was proposed due to their ability to produce CA. The production of BZA was also dependent on the stilbene related CoA-ligase, the ACP and FabH. It was verified in vitro and in vivo in E. coli yielding a 150-fold increase of the BZA production compared to the Photorhabdus and Xenorhabdus wildtype (WT) strains.
The second part of this work deals with the optimization of P. laumondii strains regarding the production titers of IPS. Therefore, several deletions of other SM related genes as well as promoter exchanges in front of stilbene related genes were carried out. These approaches were combined with the upregulation of the phenylalanine by heterologous plasmid expression, since it is the precursor of CA. Another approach applied in parallel was the optimization of the cultivation conditions with different media and supplementation with XAD-resins. It was proved that media rich on fatty acids or peptides led to higher optical densities of the cultures and thus to higher titers of stilbenes. Since IPS is inhibiting the phenoloxidase, an enzyme important for the insect immunity, it was hypothesized that cultivation in media containing insects might enhance the output of this SM. Starting from 23 mg/l of IPS in the P. laumondii WT strain, it was possible to increase the production levels to more than 860 mg/l by utilizing the mentioned approaches.
The last topic of this thesis focuses on the production of epoxidated IPS (EPS) and its derivatives. Under laboratory conditions, only a low titer of EPS was observed for the wildtype strain. However, the optimized IPS strains and IPS-production conditions could also be applied for EPS which led to higher productions and also to the detection of many new derivatives. Most of the EPS derivatives were amino acid or peptide derived acting as nucleophiles to open the epoxide ring and yielding β-amino-alcohols. However, purification and chemical synthesis attempts to obtain EPS failed due to its poor stability. Epoxides were utilized in in vitro assays with amino acids, peptides and proteins to get insights whether epoxidations might act as posttranslational modification in Photorhabdus. The reactions were performed with styrene oxide and stilbene oxide replacing EPS based on their structural similarity. The modifications were executed successfully although proteomics approaches with in vivo data are required to confirm these findings. During the purification attempts of EPS, further derivatives were detected. The structures of dimerized stilbenes, a cis-isomer of IPS and another derivative that might incorporate an amino-group in the resveratrol ring were proposed on the basis of the HPLC-MS data.
Anthropogenic interventions have altered all ecosystems around the world. One of those ecosystems are forests, the main resource for timber. They have been strongly transformed in their structure with large consequences on forest biodiversity. Especially the decrease in dead-wood volume due to the timber extraction and alternation of natural forest structures with even-aged stands of less diverse tree species composition has put especially saproxylic, i.e., dead-wood dependent species, under threat, which comprise about 20% of all forest species. Beetles, fungi and bacteria are three functional important groups for decomposition processes but we still lack much information about their sampling and the drivers of their diversity, thus it is difficult to comprehensively protect their diversity. Saproxylic fungi are a highly diverse species group and the main drivers of dead-wood decomposition; hence they play a major role in the global carbon cycle. Due to their cryptic lifestyle, many species are still unknown, but the recent advances in environmental DNA barcoding methods (metabarcoding) shed light on the formerly underestimated diversity. Yet, this method's accuracy and suitability in detecting specific species have not been assessed so far, limiting its current usefulness for species conservation. On the other hand, these methods are a convenient tool to study highly diverse areas with high numbers of unknown species, enabling the study of global diversity and its drivers, which are unknown for saproxylic fungi, but important to assess to predict the future impacts of global change. Since nature conservation concepts are usually not applied on a global scale, the drivers of diversity must also be assessed on smaller scales. Besides understanding the drivers of diversity, to identify focus scales to create comprehensive, evidence-based conservation concepts must utilize multi-taxonomic studies since saproxylic species are differently sensitive towards environmental variables and closely interact with each other. Filling these knowledge gaps is utterly needed to protect the high saproxylic diversity and ensure the functional continuity of decomposition processes, especially regarding the global change.
To address the usefulness of metabarcoding for fungal species conservation, I compared the traditional method of fruit body sampling with metabarcoding and their efficiency in detecting threatened fungal species in the first chapter of this thesis. Both methods have advantages and disadvantages. Their ability to detect threatened saproxylic fungal species and their dependencies on detecting specific fungal groups have not been compared, albeit they are important to inform species conservation like Red Lists properly. I found metabarcoding to generally detect more threatened fungal species than fruit body sampling with a higher frequency than fruit body sampling. Moreover, fruit body sampling detected a unique set of species, while fruit body sampling missed large parts of fungal diversity due to species-specific fruiting characteristics. Metabarcoding with high sampling intensity is thus a viable method to assess threatened saproxylic fungal diversity and inform nature conservation like Red Lists about distribution and abundances. Nevertheless, a complementary approach with fruit body sampling is indispensable for assessing all threatened fungal species.
In order to analyse the global diversity of saproxylic fungi and its drivers, I examined whether fungal species richness increases from the poles towards the equator and thus follows the latitudinal diversity gradient already found in many other species groups. I further investigated whether such an increase is caused by increasing ecological specialisation, i.e., niche partitioning, or local tree diversity, i.e., niche space. Gamma diversity per biome increased from the boreal, over the temperate to the tropics and thus confirmed the latitudinal diversity for saproxylic fungi. Contrastingly, alpha diversity at the log level did not significantly increase towards the tropics, suggesting a grain size dependency of the observed pattern and an equal niche space within dead-wood across latitudes. Ecological specialisation on the plot level was globally on a high level but did not increase significantly towards the equator. Additionally, I found local tree species richness to drive plot-based fungal diversity. Further analysis of gamma diversity against the total number of sampled tree species strengthened the assumption that tree species diversity and not increased ecological specialisation was the main driver of the latitudinal diversity gradient, as there was no significant difference between the gamma diversity of the temperate and tropical biome. Nonetheless, as the gamma diversity of the boreal biome was still significantly smaller, my results do not allow a complete neglection of the ecological specialisation hypothesis. The overall results indicate a strong dependency of saproxylic fungi diversity with host tree species diversity and that the global loss of tree species threatens saproxylic fungi with an unpredictable impact on carbon and nutrient cycling.
To support saproxylic conservation, I conducted two analyses. First, I compared the beta diversity of the three main decomposer groups (beetles, fungal fruit bodies, mycelial fungi (metabarcoding), and bacteria (metabarcoding)) across different scales to assess the impact of different environmental variables on their overall diversity. I used an experimental design to disentangle two different spatial scales, influenced by differences in macroclimate, forest microclimate and spatial distance, and two host scales, driven by differences between tree lineages and tree species. I set these beta diversities in relation to the gamma diversity of the three main decomposer groups to identify whether a unified conservation concept could be applied to one scale to optimally protect the diversity of all three species groups. Second, I identified whether diversity and community composition of fungi and bacteria differed among climate and land use gradients. Further I explored whether specialisation and niche packing could explain the expected pattern. To do so I used an experimental design disentangling climate and land use across a large gradient in Germany. The results differed among the species groups, denying a unified conservation concept focusing on one scale. Saproxylic beetle and fruit body beta diversity was equally high on each scale, as they are more sensitive towards environmental factors like macro- and microclimate. On the other hand, mycelial fungi and bacteria beta diversity was highest on the host scale, especially the host tree scale, indicating a high host specificity of the two groups. The second study also identified tree species as the main driver of diversity and community composition of these two study groups. Specialisation of fungi was not influenced by land use or climate. Bacterial specialisation and diversity were under a strong influence of mean precipitation. Comprehensive conservation of multi-taxonomic diversity across regions thus requires the integration of several scales. Within different macroclimatic regions, forests of varying microclimates, i.e., forest management, must be implemented. In these forests, dead-wood of different tree lineages, i.e., angio- and gymnosperms and tree species, must be provided.
Taken together, I could demonstrate that metabarcoding is an efficient method to sample threatened fungal species and identify differing drivers of fungal diversity present as fruit bodies or mycelium. Its usefulness will further increase due to the ongoing improvement of sequencing databases and thus better inform conservation concepts. Using metabarcoding, I could demonstrate that high host specialisation of saproxylic fungi is not a European but a global phenomenon and identify tree species loss under global change as one major concern for saproxylic diversity. My dissertation further highlighted the importance of multi-taxonomic studies for evidence-based nature conservation, as different species groups require varying concepts. These results were especially important for saproxylic bacteria as the drivers of their diversity are still largely unknown. Howbeit, large research gaps still exist regarding the impacts of global change on species and processes. Moreover, the spatial coverage of studies is needed to confirm or neglect the generality of current research especially concerning the highly diverse tropical areas. An increased focus on the drivers of diversity in these areas is crucial to ensure a globally comprehensive saproxylic conservation and the various ecosystem functions they control.
Chromosomal translocations (CTs) are a genetic hallmark of cancer. They could be identified as recurrent genetic aberrations in hemato-malignancies and solid tumors. More than 40% of all "cancer genes" were identified in recurrent CTs. Most of these CTs result in the production of oncofusion proteins of which many have been studied over the past decades. They influence signaling pathways and/or alter gene expression. However, a precise mechanism for how these CTs arise and occur in a nearly identical fashion in individuals remains to be elucidated. Here, we performed experiments that explain the onset of CTs: proximity of genes able to produce prematurely terminated transcripts, which leads to the production of transspliced fusion RNAs, and finally, the induction of DNA double-strand breaks which are subsequently repaired via EJ repair pathways. Under these conditions, balanced chromosomal translocations could be specifically induced.
Lysosomes are major degradative organelles that contain enzymes capable of breaking down proteins, nucleic acids, carbohydrates, and lipids. In the last decade, new discoveries have traced also important roles for lysosomes as signalling hubs, affecting metabolism, autophagy and pathogenic infections. Therefore, maintenance of a healthy lysosome population is of utmost importance to the cell to respond to both stress conditions and also homeostatic signalling. For example, for minor perturbations to the lysosomal membrane, the cell activates repair processes which seal membrane nicks. For more extensive damage, autophagy is activated to remove damaged organelles from the cell. on the other hand, during pathogen invasion host cells have also evolved mechanisms to hijack the endolysosomal pathway to facilitate their own growth and replication in host cells.
The first part of the thesis work focuses on a lysosomal regeneration program which is activated under conditions where the entire lysosomal pool of the cell is damaged. Upon extensive membrane damage induced by the lysosomotropic drug LLOMe, the cell activates a regeneration pathway which helps in the formation of new functional lysosomes by recycling damaged membranes. I have identified the molecules important for this novel pathway of lysosomal regeneration and showed how the protein TBC1D15 orchestrates this process to regenerate functional organelles from completely damaged membrane masses in the first 2 hours following lysosomal membrane damage. This process resembles the process of auto- lysosomal reformation (ALR)- involving the formation of lysosomal tubules which are extended along microtubules and cleaved in a dynamin2 dependent manner to form proto-lysosomes which develop into fully functional mature lysosomes. These lysosomal tubules are closely associated with ATG8 positive autophagosomal membranes and require ATG8 proteins to bind to the lysophagy receptor LIMP2 on damaged membranes. This process is physiologically important under conditions of crystal nephropathy where calcium oxalate crystals induce damage to lysosomal membranes in nephrons in kidney disease.
The second part of the thesis shows how the endolysosomal system of the cell is hijacked by the bacteriaLegionella pneumophila. During Legionella infection the formation of conventional ATG8 positive autophagosomes are blocked due to the protease activity of the bacterial effector protein RavZ which cleaves lipidated ATG8 proteins from autophagosomal membranes. The SidE effectors of Legionella modify STX17 and SNAP29 by the process of non-canonical ubiquitination called phosphoribose-linked serine ubiquitination (PR-Ub). These proteins are essential for the formation of the autophagosomal SNARE complex which is used for fusion of the autophagosome with the lysosome. Upon Legionella infection, PR-UB of STX17 aids in formation of autophagosome-like replication vacuoles. ThesevacuolesdonotfusewiththelysosomebecauseSNAP29isalsoPR-Ubmodified. PR-UbofSTX17 and SNAP29 sterically blocks the formation of the autophagosomal-SNARE complex thereby preventing fusion of the autophagosome with the lysosome. As a result, Legionella can replicate in autophagosome- like vacuoles which do not undergo lysosomal degradation. In absence of PR-Ub modified STX17, bacterial replication is compromised when measured by bacterial replication assays in lung epithelial (A549) cells.
Taken together, this thesis highlights two important aspects of the autophagy-lysosomal system- how it responds to extensive membrane damage and its importance in Legionella pneumophila infection. Extensive damage to lysosomal membranes triggers a rapid regeneration process to partially restore lysosomal function before the effects of TFEB dependent lysosomal biogenesis becomes apparent. On the other hand, Legionella pneumophila infection segregates the lysosomes from the rest of the endo-lysosomal system by blocking autophagosome-lysosome fusion. Though lysosomes remain active, they are incapable of degrading pathogens since pathogen containing vacuoles do not fuse with the lysosome.
Climatology of morphology and cloud-radiative properties of marine low-level mixed-phase clouds
(2023)
Marine stratocumuli cover about 40 - 60% of the ocean surface. They self-organize into different morphological regimes. The two organized cellular regimes are called open and closed mesoscale-cellular convective (MCC) clouds. In mid-to-high latitudes, open and closed cells are the two most frequent types of MCC clouds. In particular, many MCC clouds consist of a mixture of vapor, liquid droplets, and ice particles, referred to as mixed-phase clouds (MPCs). Even for the same cloud fraction, the albedo of open cells is, on average, lower than that of closed MCC clouds. Cloud phase and morphology individually influence the cloud radiative effect. Thus, this thesis investigates the relationships between the cloud phase, MCC organization, cell size, and differences regarding the cloud-radiative effect.
This thesis focuses on space-borne retrievals to achieve extensive temporal and spatial coverage. The liDAR-raDAR (DARDAR) version 2 product collocates two active and one passive satellite: CloudSat, Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO), and Moderate Resolution Imaging Spectroradiometer (MODIS). The cloud phase of DARDAR is vertically integrated to establish a single cloud phase at each data point. The MCC classification data set based on the liquid water path (LWP) of MODIS scenes is collocated with the DARDAR product to determine the MCC organization. Cell-size statistics of both MCC clouds are obtained using a marker-based image segmentation method on MODIS reflectance scenes. In addition, based on MODIS reflectance scenes, a convolutional neural network (CNN) is developed to classify open and closed MCC scenes to avoid missing mature MPCs with a low LWP.
The first part of this thesis explores the relationships between cloud phase, morphology, and cloud albedo in the Southern Ocean (SO). At a given cloud-top temperature (CTT), seasonal changes in the mixed-phase fraction, defined as the number of MPCs divided by the sum of MPC and supercooled liquid cloud (SLC) pixels, are stronger than the morphological changes. Therefore, external factors seem to influence these changes instead of morphology. The dependence of cloud phase on cloud-top height (CTH) is more substantial than on CTT in clouds with CTHs below 2.5 km. The previously observed acceleration of closed-to-open transition in MPCs, known as preconditioning, is not the primary driver of climatological cloud morphology statistics in the SO. The morphological differences in cloud albedo are more pronounced in SLCs than in MPCs. This change in albedo alters the cloud radiative effect in the SO by 21Wm−2 to 39Wm−2 depending onseason and cloud phase.
Open and closed MCC clouds exhibit larger equivalent cell diameters in the MPCs than in SLCs in austral summer, whereas, in austral winter, the SLCs are larger. The cell’s aspect ratio accounts for varying CTHs. Closed cells have smaller aspect ratios than open cells, so their cell diameter is smaller, independent of CTH. While the seasonal differences in closed cells are due to changes in CTH, the seasonal aspect ratio differences in open cells are mainly caused by MPCs. With increasing aspect ratios, the cloud albedo decreases in both open and closed MCC clouds, with the most substantial decrease in open MPCs clouds. This leads to cloud-radiative changes of 60 - 75Wm−2 in the SO, depending on cloud phase and aspect ratio.
The established CNN exhibits a good accuracy of 80.6%, with even higher accuracies in the Open (85.5%) and Closed (87.3%) categories. The global MCC climatology based on the CNN generally agrees well with previous MCC distributions. The most notable difference occurs in the Northern Hemisphere (NH) in boreal winter, with a higher occurrence frequency of closed and open MCC clouds. This might indicate missing MPCs in previous studies based on the LWP and some restricted to warm cloud scenes. Thus, the developed CNN seems to better represent the different morphologies in MPCs than in previous classifications.
In conclusion, this thesis shows that understanding the dependencies of cloud phase, cloud morphology, and cell size is important to enhance predictions of the cloud-radiative effect and thus, it is important to evaluate how cloud phase, cloud morphology, and cellsize change in a warming climate.
N6-methyladenosine (m6A) is the most abundant and well understood modification in eukaryotic mRNA and was first identified in polyadenylated parts of the mRNA.The distinct distribution of m6A in the transcriptome with special enrichment in long internal exons, 39UTRs and around stop codons was uncovered by early biochemical work and later on antibody based sequencing techniques. The so called m6A writer, reader and eraser machinery is responsible for the dynamic and with that regulatory nature of the m6A modification. As m6A writer, the human N6-methyltransferase complex (MTC) cotranscriptionally methylates the central adenine within a RRACH (preferably GGACU) sequence context to form m6A in the nascent RNA chain.9–15 The catalytic core of the complex is formed by the two proteins METTL3 and METTL14, with the active site located in the methyltransferase domain (MTD) of METTL3.16–18 The DPPW motif near the methyl donor S-adenosylmethionine (SAM) binding site in this MTD was postulated to bind the target adenine during catalysis. Moreover, a positively charged groove in the METTL3-METTL14 interface, the C-terminal RGG domain in METTL14 and the zinc finger motifs in METTL3 were identified as important domains for RNA binding. However, to date there are no full-length or substrate-RNA-bound structures of the catalytic METTL3-METTL14 complex.
In addition, a set of accessory proteins assembles to the METTL3-METTL14 heterodimer to form the full MTC, mediated by WTAP that firmly binds to the N-terminal leader helix in METTL3.20 WTAP was shown to locate the whole complex to the nuclear speckles and can modulate m6A deposition to specific sites in the RNA. Moreover, WTAP acts as binding platform for other accessory proteins including VIRMA, RBM15, ZC3H13 and HAKAI that are mostly identified to mediate position specific methylation. For example, RBM15 was shown to mediates region-selective methylation in a WTAP dependent manner, directing specificity towards U-rich sequences.
The observed specificity of the methyltransferase complex to methylate only site specific DRACH sequenced is still poorly understood. Some possible modulators like the role of the accessory proteins are under investigation, however, the structural context of the RNA methylation sites or a structural preference of the complex have been mainly neglected so far. Moreover, the structural dynamics of this methylation process still remain elusive. This thesis contributes to the afore-mentioned aspects by analysis of the methylation process regarding RNA structure sensitivity with enzymatic activity assays and its dynamic nature by implementing a smFRET approach.
We hypothesized the target RNA secondary structure to be an additional important modulator of methylation efficiency, based on the RNA binding elements of the complex (positively charged binding groove, zinc finger domain, RGG domain) and the supposed target adenine binding in the active site. Here, we postulated the possibility for a flipped-out adenine to be of special relevance, which is closely related to the local stability of the target adenine containing structure. Moreover, efficient binding of the protein complex to the RNA should require the ability to anchor the RNA on both sides of the target sequence.
This work focused on the biosynthesis and characterization of esterified lipid mediators. Lipid mediators were generally thought to exert their effects as free molecules, and their esterification was regarded as a storage mechanism. However, more recent studies indicate that esterified lipid mediators are a distinct class of mediators. When this thesis started back in 2017, the idea of esterified lipids as a new class of mediators was relatively new so that respective compounds were either quite expensive or not commercially available at all. Therefore, a biosynthetic approach had to be established first to enable the study of the new lipid mediator class. Within the cell, esterified lipids are produced by activation and subsequent incorporation of polyunsaturated fatty acids. These steps are enzymatically catalyzed by members of the acyl-CoA synthetase family and the lysophosphatidylcholine acyltransferase family, respectively. Therefore, the enzymes acyl-CoA synthetase long-chain family member 4 (ACSL4) and lysophosphatidylcholine acyltransferase 2 (LPCAT2) were selected for a biosynthetic approach due to their broad substrate acceptance.
In a first attempt, recombinant protein expression in E. coli was studied. While the expression and purification of C-terminally His6x-tagged ACSL4 resulted in a pure and active protein, the expression of LPCAT2 turned out quite troublesome. Although several expression and purification parameters were varied, including purification tags, buffer compositions, and chromatography strategies, successful purification of LPCAT2 was not achieved.
Instead, a second approach was studied. This time, stably transfected cells overexpressing ACSL4 and/or LPCAT2 were generated from the human embryonal kidney (HEK) 293T cell line. Stably transfected cell lines were characterized on protein level and regarding their oxylipin profile. After confirming the overexpression and functionality of the enzymes, lipoxygenases (LOs) were co-expressed in a doxycycline-inducible manner to prevent premature cell death due to increased oxidative stress. As a result, LO product formation was enhanced and enabled the investigation of specific oxylipins. Since increased lipid peroxidation is also a key component of the ferroptosis cell death mechanisms, cell lines were investigated towards their cell viability. Indeed, expression of ACSL4 and/or LPCAT2 promoted cell death when treated with the ferroptosis inducers erastin or RSL3, even in the absence of LO expression. Furthermore, analysis by laser scanning confocal microscopy revealed that the localization of 15-LO1 was altered in the presence of LPCAT2, similar to treatment with RSL3 in vector control cells.
In conclusion, a stable overexpression system of ACSL4 and/or LPCAT2 was successfully established in HEK293T cells, which enabled the synthesis and characterization of esterified oxylipins. Interestingly, characterization of the cell lines revealed a correlation with the cell death mechanism ferroptosis. Although the expression of ACSL4 has already been reported as a biomarker for ferroptosis, this is the first time that a potential connection of LPCAT2 with ferroptosis was demonstrated. As a result, this may provide new therapeutic options for ferroptosis-related pathologies such as neurodegeneration, autoimmune diseases, or tumorigenesis.
Polyunsaturated fatty acids (PUFAs) play essential roles in mediating inflammation and its resolution. PUFA metabolites generated by the cytochrome P450 (CYP) - soluble epoxide hydrolase (sEH) axis are known to regulate macrophage activation/polarization but little is known about their role in the resolution of inflammation. Monocytes were isolated from murine bone marrow or human peripheral blood and differentiated to naïve macrophages (M0). Thereafter cells were polarized using LPS and IFNγ (M1), IL-4 (M2a), or TGFβ1 (M2c). Gene expression was analyzed by RNA sequencing, RT-qPCR and Western blotting. Phagocytosis of zymosan and oxo-LDL were also assessed in vitro. Zymosan-induced peritonitis combined with immune cell profiling was used to evaluate the resolution of inflammation in vivo. The expression of sEH was comparable in M0, M1 and M2a macrophages but markedly elevated in M2c polarized cells. The increase in sEH expression elicited by TGFβ relied on the TGFβ receptor ALK5 and the phosphorylation of SMAD2, which was able to bind to the sEH promoter. In macrophages lacking sEH, M2c polarization was incomplete and characterized by lower levels of pro-resolving phagocytosis associated receptors (Tlr2 and Mrc1), as well as higher levels of the pro-inflammatory markers; Nlrp3, IL-1β and TNFα. Fitting with the failure to upregulate phagocytosis associated receptors, the uptake of zymosan and ox-LDL was less efficient in M2c macrophages from sEH-/- mice. The latter animals also demonstrated a retarded resolution of inflammation (zymosan-induced peritonitis) in vivo with fewer resident macrophages and recruited macrophages. PUFA profile analysis indicated decreased sEH substrates e.g., 11, 12-EET, as well as increased sEH products e.g., 11, 12-DHET, indicating an increased sEH activity in M2c macrophages. Taken together, our data indicates that sEH expression is required for the effective M2c polarization of macrophages and thus the resolution of inflammation.
A Large Ion Collider Experiment (ALICE) is a high-energy physics experiment, designed to study heavy ion collisions at the European Organization for Nuclear Research (CERN)Large Hadron Collider (LHC). ALICE is built to study the fundamental properties of matter as it existed shortly after the big bang. This requires reading out millions of sensors with high frequency, enabling high statistics for physics analysis, resulting in a considerable computing demand concerning network throughput and processing power. With the ALICE Run 3 upgrade [14], requirements for a High Throughput Computing
(HTC) online processing cluster increased significantly, due to more than an order of magnitude more data than in Run 2, resulting in a processing input rate of up to 900 GB/s. Online (real-time) event reconstruction allows for the compression of the data stream to 130 GB/s, which is stored on disk for physics analysis.
This thesis presents the implementation of the ALICE Event Processing Node (EPN) compute farm, to cope with the Run 3 online computing challenges. Building a Data Centre tailored to ALICE requirements for the Run 3 and Run 4 EPN farm. Providing the operational conditions for a dynamic compute environment of a High Performance Computing (HPC) cluster, with significant load changes in a short time span, when starting or stopping a data-taking run. EPN servers provide the required computing resources for online reconstruction and data compression. The farm includes network connectivity towards First Level Processors (FLPs), requiring reliable throughput of 900 GB/s between FLPs and EPNs and connectivity from the internal InfiniBand network to the CERN Exabyte Object Storage (EOS) Ethernet network, with more than 100 GB/s.
The results of operating the EPN computing infrastructure during the first year of Run 3 LHC collisions are described in the context of the ALICE experiment. The EPN farm was delivering the expected performance for ALICE data-taking. Data Centre environmental conditions remained stable during the last more than two years, in particular during starting and stopping runs, which include significant changes in IT load. Several unforeseen external circumstances lead to increasing demands for the Online Offline System (O2). Higher data rates than anticipated required network performance to exceed the initial design specifications, for the throughput between FLPs and EPNs. In particular, the high throughput from an internal EPN InfiniBand network towards the storage Ethernet network was one of the challenges to overcome.