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Solute carrier (SLC) are related to various diseases in human and promising pharmaceutical targets but more structural and functional information on SLCs is required to expand their use for drug design and therapy. The 7-transmembrane segment inverted (7-TMIR) fold was identified for the SLC families 4, 23 and 26 in the last decade thus detailed analysis of the structure function relationship of one of these families might also yield insights for the other two. SVCT1 and SVCT2 from the SLC23 family are sodium dependent ascorbic acid transporters in human but structural analysis of the SLC23 family is exclusively based on two homologs – UraA from E. coli and UapA from A. nidulans – yielding two inward-facing and one occluded conformation. In combination with outward-facing conformations from SLC4 transporters, and additional information from the SLC26 family, an elevator transport mechanism for all 7-TMIR proteins was identified but detailed mechanistic features of the transport remain elusive due to the lack of multiple conformations from individual transporters.
To increase the understanding of 7-TMIR protein structure and function in this study, the transport mechanism of SLC23 transporters was analyzed by two strategies including selection of alpaca derived nanobodies and synthetic nanobodies against UraA as prokaryotic model protein of the SLC23 family. The second strategy involved mutagenesis of UraA at functional relevant positions regarding the conformational change during transport. Therefore, available structures of 7-TMIR proteins and less related elevator transporters were analyzed and a common motif identified – the alpha helical inter-domain linkers. The proposed rigid body movement for transport in combination with the characteristic alpha helical secondary structure of the linkers connecting both rigid bodies led to the hypothesis of functional relevance of the linkers and a conformational hinge being located in close proximity to the linkers. These positions were identified and used to modulate the biophysical properties of the transporter. Mutagenesis at three relevant positions led to loss of transport functionality and these UraA variants could be recombinantly produced and purified to further examine the underlying mechanistic effects. The variants UraAG320P and UraAP330G from the periplasmic inter-domain linker showed increased dimerization and thermal stability as well as substrate binding in solution. The substrate affinity of UraAG320P was identified to be 5-fold higher compared to the wildtype. The solvent accessibility of the substrate binding site in UraAG320P and UraAP330G revealed reduced open probability that indicated an altered conformational space compared to UraAWT. This phenomenon was analyzed in more detail by differential hydrogen-deuterium exchange mass spectrometry and the results supported the hypothesis of a reduced open probability and gave further insights into the impact of the two mutations in the periplasmic inter-domain linker in UraA.
This thesis further presents strategies for phage display selection of nanobodies with epitope bias and a post selection analysis pipeline to identify nanobodies with desired binding characteristics. Thereby, whole cell transport inhibition highlighted periplasmic epitope binders and conformational selectivity. A cytoplasmic epitope could be identified by pulldown with inside-out membrane vesicles for one cytoplasmic side binder. Thermal stabilization analysis of the target protein in differential scanning fluorometry was performed in presence of two different nanobodies to identify simultaneous binding by additional thermal stabilization respectively competition by intermediate melting temperatures. Combination of epitope information with simultaneous DSF could be used to identify the stabilization of different UraA conformations by a set of binders and presents a general nanobody selection strategy for other SLCs. Synthetic nanobodies (sybodies) were also included in the analysis pipeline and Sy45 identified as promising candidate for co-crystallization that gave rise to UraAWT crystals in several conditions in presence or absence of uracil. Similar crystals could be obtained in combination with UraAG320P that were further optimized to gain structural information on this mutant. The structure was solved by molecular replacement and the model refined at 3.1 Å resolution confirming the cytoplasmic epitope of Sy45 as predicted by the selection pipeline. The stabilized conformation was inward-facing similar to the reported UapA structure but significantly different to the previously reported inward-facing structure of UraA. The structure further confirmed the structural integrity of the UraA mutant G320P. Despite the monomeric state of UraA in the structure, the gate domain aligned reasonably well with the gate domain of the previously published dimeric UraA structure in the occluded conformation and allowed detailed analysis of the conformational transition in UraA from inward-facing to occluded by a single rigid body movement. Thereby little movement in the gate domain of UraA was observed in contrast to a previously reported transport mechanism. Core domain rotation around a rotation axis parallel to the substrate barrier was found to explain the major part of conformational transition from inward-facing to occluded and experimentally supported the hypothesized mechanism by Chang et al. (2017). Additionally, the conformational hinge around position G320 in UraA could be identified as well as the impact of the backbone rigidity introduced by the highly conserved proline residue at position 330 in UraA on the conformational transition. This position was found to serve as anchoring point the inter-domain linker and determines the coordinated movement of inter-domain linker and core domain. The functional analysis further highlighted the requirement of alpha helical secondary structure within the inter-domain linker that serves as amphipathic structural entity that can adjust to changed core-gate domain distances and angles during transport by extension/compression or bending while preserving the rigid linkage.
The applied strategies to modulate the conformational space of UraA by mutagenesis at the hinge positions in the inter-domain linkers is transferrable to other transporters and might facilitate their structural and functional characterization.
Further, this study discusses the conformational thermostabilization of UraA that is based on increased melting temperatures upon restriction of its conformational freedom. The term ‘conformational thermostabilization’ introduced by Serrano-Vega et al. (2007) could be experimentally supported and the direct correlation between the conformational freedom and thermostabilization was qualitatively analyzed for UraA. The concept of conformational thermostabilization might help in characterization of other dynamic transport systems as well.
The overall survival for patients with acute lymphoblastic leukemia (ALL) often is the function of age, in particular in 2019 analysis revealed that 5-year overall survival for patients older than 20 years remains below 35% (American Cancer Society, Cancer Facts &Figures 2019). Importantly, one of the major issues in ALL therapy is the ability of tumor cells to escape the treatment via the establishment of an immunosuppressive environment. The tumor microenvironment has gained tremendous importance in the past decade. This is largely based on the reasoning that, in order to devise better therapeutic strategies for patients, we need to gain better understanding into how malignant cells transform their microenvironment to promote growth, escape immune control and gain therapeutic resistance.
TAM receptors (TAMRs) are engaged in innate immune cells as a feed-back mechanism to terminate the immune response and promote the return to homeostasis (Rothlin et al. 2007). In the context of cancers, aberrant TAMR signaling was mainly explored concerning its pro-oncogenic function (Paolino and Penninger 2016). There are only limited data available suggesting the modulation of cancer immune response via TAMR signaling in highly immunogenic solid tumor models (Paolino et al. 2014; Ubil et al. 2018). So far, however, little is known about their potential indirect immune-modulatory function in hematological malignancies. Taking into account the pronounced importance of TAMR signaling in immune cells combined with the leukemic immune tolerance, the current study focused on the function of TAMR and their ligands in anti-leukemic immunity.
This work uncovers the mechanism of dampening anti-leukemic immune response via TAMR signaling on macrophages using the syngeneic BCR-ABL1 B-ALL mouse model. Using genetic depletion of GAS6 in the host environment or ablation of AXL and/or MERTK receptors in macrophages the bone marrow microenvironment could be rewired in order to achieve an efficient anti-leukemic immune response. In particular, the GAS6/AXL blockade triggers an effective NKand T- cell-dependent anti-leukemic response that results in prolonged survival. This finding specifically tackles the obstacle of inefficient bridging between innate and adaptive immune response typical for hematological malignancies in contrast to solid tumors (E. K. Curran, Godfrey, and Kline 2017).
Besides establishing the vital function of TAMR signaling in anti-leukemic immunity using murine models, the analysis of human blood plasma revealed that age-related immune dysregulation was manifested by significant GAS6 decrease and PROS1 upregulation among elderly donors (>60 y.o.) compared to controls (<25 y.o.). These data are indicative that TAMR signaling likely favors the age-dependent immune system decline, which in turn is associated with a poor survival rate of elderly patients diagnosed with leukemia.
In conclusion, using a preclinical ALL model here it was identified in vivo, that Axl significantly increases upon B-ALL challenge in Mph and NK cells. Therefore, AXL targeting, using the orally bioavailable selective inhibitor Bemcentinib, could serve as a powerful approach to revert early immunosuppression created by leukemia.
Taken together these data propose the AXL receptor as a novel immune checkpoint and attractive candidate for the development of a new therapeutic approach via unleashing the patient’s own immune system to combat leukemic cells.
For private investors it is imperative to a) understand and define their own, individual risk preferences, b) assess their financial and demographic circumstances to determine the individual risk-taking potential, and c) form and maintain a well-diversified risky portfolio. The three chapters of my thesis each match one of these three tasks. \\ \noindent The first chapter of my thesis presents novel experimental evidence to test the existence of a potential projection bias in loss aversion, a significant determinant of investor preferences, thus matching task a). The second chapter is devoted to the determination of private investors' risk-taking potential based on their financial and socio-demographic circumstances, matching task b): In a large portfolio experiment, we examine the ability and heterogeneity of lay and professional advisors in matching investor demographics, such as age and income, with risky asset portfolio shares. The third and final chapter addresses the question on how to reach and maintain an efficient risky portfolio, therefore matching task c): It analyzes a decision support system for private investors that allows its users to simulate any arbitrary set of securities, and by reporting aggregated expected return and risk, to optimize their current portfolio.
Droughts impair plant growth, limit global net primary production and are predicted to increase in the course of climate change. Knowledge of the plant drought response on a molecular level can facilitate the selection of drought resistant genotypes and genetic engineering and thereby can help to implement strategies, such as assisted migration projects or crop improvement, in order to preserve natural and agricultural vegetation against droughts.
Studies on gene expression under drought stress were conducted in three species each of the genera Quercus and Panicum, to shed light on the molecular drought response in these species and identify drought responsive genes as a basis for technical applications.
In the genus Quercus, gene expression studies were conducted in the three major European forest trees Q. ilex, Q. pubescens and Q. robur, for which a distributional shift caused by climate change is predicted for the 21st century. RNA-Seq experiments were conducted in the three Quercus species for the first time, ortholog groups were assigned and unregulated genes, as well as drought responsive genes, were identified (Madritsch et al. 2019). For a set of the unregulated genes, a stable expression over the course of long-term drought periods was evaluated in order to enable an application as reference genes for normalizing qRT-PCR experiments (Kotrade 2019a). The reference genes were used in subsequent experiments to generate gene expression profiles over the course of a two-year drought experiment with consecutive drought periods for a set of twelve drought responsive genes and revealed a highly variable gene regulation under long-term drought stress in the Quercus species (Kotrade et al. 2019b).
In the genus Panicum, the gene expression in response to drought was examined in the two wild crop species, P. laetum and P. turgidum, and in the less drought tolerant species P. bisulcatum via RNA-Seq experiments (Kotrade et al. 2020 (in revision). The transcriptomes of the species were sequenced for the first time, ortholog groups were assigned and the gene regulation was compared across the species. The common grounds of the drought response in Panicum were determined by identifying similarities across the species, while the identification of differences between the species led to genes that might contribute to the higher drought tolerance of P. laetum and P. turgidum
A comparison across the two genera showed large differences in the gene regulation upon drought. This might be largely explained by different experimental setups that resulted in different drought conditions in the genera, such as drought intensity, drought duration and velocity of drought development.
The sequence information and the drought responsive genes identified in the Quercus and Panicum species can be used to develop marker assays for marker-assisted selection. The genes that putatively contribute to the higher drought tolerance of the two wild crop Panicum species should be considered as candidate targets in genetic engineering studies. Marker-assisted selection and genetic engineering can be applied, for example, in assisted migration projects to support natural vegetation in the course of climate change or to breed more drought tolerant crop strains to mitigate crop failure rates caused by droughts.
This work describes development of a comprehensive methodology for analyzing vibro-acoustic and wear mechanisms in transmission systems. The thesis addresses certain gaps present in the fields of structure dynamics and abrasion mechanism and opens new areas for further research.
The paper attempts to understand new and relatively unexplored challenges like influences of wear on the dynamics of drive train. It also focuses on developing new techniques for analyzing the vibration and acoustic behavior of the drive unit structures and surrounding fluids respectively.
The developed methodology meets the requirements of both the complete system and component level modeling by using specially identified combination of different simulation techniques. Based on the created template model, a three-stage spur plus helical gearbox is constructed and simulated as an application example. In addition to the internal mechanical excitation mechanisms, the transmission model also includes the rotational and translational dynamics of the gears, shafts and bearings. It is followed by illustration of wear among the rotating components.
Different kinds of static and dynamic analyses are performed and coupled at various levels depending on the mechanical complexities involved. Furthermore, the structure dynamic vibration of the housing and the associated sound particle radiations are mapped into the surrounding fluid. Additionally, the approach for selection of the potential parameters for optimization is depicted. Final part focuses on the measurements of different system states used for validation of the model. In the end, results obtained from both simulations and experiments are analyzed and assessed for there respective performances.
Machine Learning (ML) is so pervasive in our todays life that we don't even realise that, more often than expected, we are using systems based on it. It is also evolving faster than ever before. When deploying ML systems that make decisions on their own, we need to think about their ignorance of our uncertain world. The uncertainty might arise due to scarcity of the data, the bias of the data or even a mismatch between the real world and the ML-model. Given all these uncertainties, we need to think about how to build systems that are not totally ignorant thereof. Bayesian ML can to some extent deal with these problems. The specification of the model using probabilities provides a convenient way to quantify uncertainties, which can then be included in the decision making process.
In this thesis, we introduce the Bayesian ansatz to modeling and apply Bayesian ML models in finance and economics. Especially, we will dig deeper into Gaussian processes (GP) and Gaussian process latent variable model (GPLVM). Applied to the returns of several assets, GPLVM provides the covariance structure and also a latent space embedding thereof. Several financial applications can be build upon the output of the GPLVM. To demonstrate this, we build an automated asset allocation system, a predictor for missing asset prices and identify other structure in financial data.
It turns out that the GPLVM exhibits a rotational symmetry in the latent space, which makes it harder to fit. Our second publication reports, how to deal with that symmetry. We propose another parameterization of the model using Householder transformations, by which the symmetry is broken. Bayesian models are changed by reparameterization, if the prior is not changed accordingly. We provide the correct prior distribution of the new parameters, such that the model, i.e. the data density, is not changed under the reparameterization. After applying the reparametrization on Bayesian PCA, we show that the symmetry of nonlinear models can also be broken in the same way.
In our last project, we propose a new method for matching quantile observations, which uses order statistics. The use of order statistics as the likelihood, instead of a Gaussian likelihood, has several advantages. We compare these two models and highlight their advantages and disadvantages. To demonstrate our method, we fit quantiled salary data of several European countries. Given several candidate models for the fit, our method also provides a metric to choose the best option.
We hope that this thesis illustrates some benefits of Bayesian modeling (especially Gaussian processes) in finance and economics and its usage when uncertainties are to be quantified.
Across the entire animal kingdom, sociality, i.e. the tendency of individual animals to form a group with conspecifics, is a common trait. Environmental changes have to be met with corresponding, quick adaptations. For social species, the presence of conspecifics is important for survival and if social animals are deprived of access to conspecifics, this can lead to strong and lasting changes on a physiological level as well as behaviour. Gene expression changes responsible for these adaptations have so far not been understood in detail. As social isolation leads to changes on a neuronal level, it is important to investigate the gene expression changes that are induced in the brain. In this thesis, next-generation RNA-sequencing was applied to zebrafish, a well-established model organism characterized by its high degree of companionship. Within the entire brain, gene expression was analysed in zebrafish that were raised either with conspecifis or in isolation, ranging from 5 to 21 days post fertilization. Using this approach, several genes were identified that were downregulated by social isolation. In this thesis, I focused on one of these consistently downregulated genes, parathyroid hormone 2 (pth2). The expression of pth2 was demonstrated to be bidirectionally regulated by the number of conspecifics present and to be responsive to changes in the social environment within 30 minutes. Regulation of pth2 does not occur by visual or chemosensory access to conspecifcs, but is mediated by mechanosensory perception of other fish via the lateral line. In an experiment using an artificial mechanical stimulation paradigm, it was shown that the features necessary to elicit pth2 transcription closely mimick the locomotion of actual zebrafish. Other, similar stimulation paradigms are not capable to induce this transcriptional response.
BH3 mimetics are novel anticancer therapeutics that induce apoptosis by targeting anti‐apoptotic BCL‐2 proteins. Highly specific inhibitors of the main anti-apoptotic proteins BCL-2, BCL‐XL and MCL‐1 promise new opportunities for the treatment of AML. However, it is currently unclear which of these anti-apoptotic BCL-2 proteins represents the most promising target in AML. Therefore, we investigated the effect of BH3 mimetics targeting either BCL-2 (ABT-199, S55746), BCL-XL (A-1331852) or MCL-1 (S63845) on eleven AML cell lines. Drug sensitivity screening revealed heterogeneous sensitivity towards the different BH3 mimetics, with the best responses observed upon targeting of MCL-1. Selected cell lines that displayed sensitivity towards the specific BH3 mimetics underwent intrinsic apoptosis, which was characterized by loss of mitochondrial membrane potential, exposure of phosphatidylserine and activation of caspases. Furthermore, S63845 turned out to displace BIMS and NOXA from MCL-1 to induce apoptotic cell death. Importantly, the translational relevance of this study was demonstrated by experiments in primary AML blasts, which displayed similar sensitivity towards BH3 mimetics as the cell lines did. Additionally, experiments with nonmalignant cells could confirm the clinical relevance of the MCL-1 inhibitor. There we could show, that S63845 does not cause cytotoxicity on HPCs at efficacious doses.
In conclusion, our findings reveal that the inhibition of BCL-2 proteins, especially MCL-1, by BH3 mimetics can be a promising strategy in AML treatment.
The present study approached two related but conceptually different questions of EV biology in cancer. In both approaches, tailored variants of the Cre LoxP system were utilized. First, in the context of intradermal and intracranial tumours, it was examined which cells in the tumour microenvironment (TME) take up tumour derived
EVs and what effects EV uptake has on recipient cells. Secondly, in the context of glioma, peripheral macrophages (MF) were directly traced to the brain and
separated from brain resident microglia (MG). Furthermore, EV signalling between these entities was analysed.
Regarding the first approach, multidirectional transfer of functional Cre recombinase RNA in intradermal and intracranial mouse tumour models was observed. In spite of robust recombination rates in all tumour models, the total number of EV-uptaking cells is around three times higher than the total number of recombined cells, suggesting that interactions of cells and EVs which contain CremRNA does not necessarily lead to marker gene expression. Subsequent studies can build up on this established system and isolate and characterise EV-uptaking cells to identify geno- and phenotypical changes induced by EV uptake.
The second, conceptionally different aspect that was investigated in this study is the distinction and tracing of peripheral MF to the brain and their distinction from
brain resident MG in glioma. Glioblastoma multiforme (GBM) is the most common and the most malignant brain tumour. The average patient survival of 15 months
past diagnosis did not change much during the last decades, which stresses the need for new therapies. GBM location in the immune privileged brain, its characteristically highly immune suppressive TME and its highly invasive growth
makes this disease so difficult to treat. Immune therapies, which in general show good results in other types of cancer, are not effective in GBM. To a great extent, this can be ascribed to the lack of understanding of MG and MF function in GBM and their roles in tumour progression.
At the beginning of the 1980s, an increased frequency of immune deficiency was discovered in a population of homosexual men, which is nowadays known as the Acquired Immune Deficiency Syndrome (AIDS). A few years later, the retro virus Human Immunodeficiency Virus 1(HIV-1) has been discovered as the cause of AIDS. Since the beginning of the pandemic, more that 74 million people have become infected and more than 32 million people died. In 2018, it was estimated that 38 million people where living with HIV-1 of which 24.5 million had access to Highly Active Antiretroviral Therapy (HAART), which blocks viral replication and prevents the progression towards AIDS. In the most cases an HIV-1 infection leads to the patient’s death within a few years Without HAART.
Taken together, this thesis shows that hematopoietic stem and progenitor cells harbor the prerequisites and characteristics to form an HIV-1 reservoir in vivo. The subsets of HSCs, MPPs and CD34+CD38+ progenitors harbor CD4 & CXCR4 double-positive cells as well as a lower amount of CD4 & CCR5 doublepositive cells. In addition, the susceptibility to X4-tropic HIV-1 is shown in vitro. Susceptibility to R5-tropic HIV-1 is only seen to a very low amount for CD34+CD38+ progenitors. The results also show that transduced HSPCs are capable to pass on integrated viral genomes via proliferation and differentiation during in vitro colony formation. More over the experiments provide evidence that this can take place for long time span as the outcome of the replating assays shows. Ex vivo analysis of HSPCs isolated from PLHIV also suggests that these cells are susceptible to HIV-1. Proviral DNA detection using a nested PCR showed infection of Lin- cells of a single donor with an R5-tropic subtype B HIV-1 clone. However, the assay could not detect infection of CD34+ cells. The
received results of this thesis are in agreement with previously published results. Albeit the obvious susceptibility to HIV-1 and existing reports of viral survival within HSPCs for several years, the low frequency of detected in vivo infected HSPCs could be related to the cytopathic effects of HIV-1 during replication resulting in cell death of potentially infected CD34+ cells. Other reasons could be associated with assay sensitivity or the small number of available patient samples. This makes hematopoietic stem and progenitor cells a target, which can be infected by HIV-1. The role and the clinical relevance of hematopoietic stem and progenitor cells in contribution to the latent viral HIV-1 reservoir within an HIV-1 infected patient needs to be further analyzed.
Climate controls the broad-scale distribution of vegetation and change in climate will alter the vegetation distribution, biome boundaries, biodiversity, phenology and supply of ecosystem services. A better understanding of the consequences of climate change is required, particularly in under-investigated regions such as tropical Asia, i.e., South and South-east Asia, which is a host to 7 of the 36 global biodiversity hotspots. Conservation strategies would also require an in-depth understanding of the response of vegetation to climate change. Therefore, the main objective of this thesis was to investigate the impact of climate change and rising CO2 vegetation in tropical Asia. Dynamic global vegetation model (DGVMs) are the well-known tools to investigate vegetation-climate interactions and climate change impacts on ecosystems. In this thesis, I used a complex trait-based DGVM called adaptive dynamic vegetation model version 2 (aDGVM2).
In Chapter 1, I presented a brief background of the phytogeography and discussed the exiting knowledge gap on vegetation-climate interactions in the region. One major disadvantage for available DGVMs studies for the tropical Asia is that most of them have used fixed plant functional types (PFTs) and do not explicitly represent the distinct varieties of vegetation type of the region such as Asian savannas. In Chapter 2, I discussed at great length to improve DGVMs for South Asia and discussed ways to include them in the model for better representation of region vegetation-climate interaction.
I upgraded the current version of aDGVM2 and added a new vegetation type i.e., C3 grasses, and modified the sub-module to simulate photosynthesis for each individual plants to aDGVM2. In chapter 3, I used this updated version of aDGVM2 to simulate the current and future vegetation distribution in South Asia under RCP4.5 and RCP8.5 (RCP: representative concentration pathway). The model predicted an increase in biomass, canopy cover, and tree height under the presence of CO2 fertilization, which triggered transitions towards tree-dominated biomes by the end of the 21st century under both RCPs. I found that vegetation along the Western Ghats and the Himalayas are more susceptible to change due to climate change and open biomes such as grassland and savanna are prone to woody encroachment.
In Chapter 4, the study domain was extended to include South-east Asia to verify if the model configuration used in Chapter 3 can also simulate vegetation patterns in tropical Asia. The aDGVM2 simulations showed a robust trend of increasing vegetation biomass and transitions from small deciduous vegetation to taller evergreen vegetation across most of tropical Asia. Shifts in plant phenology also affect ecosystem carbon cycles and ecosystem feedback to climate, yet the quantification of such impacts remains challenging. The study showed increased biomass due to CO2 fertilization, indicates that the region can remain a carbon sink given there is no other resource limitation. However, nutrient limitations on CO2 fertilization effects were not included in the study, and carbon sink potential has to be seen with caution.
In Chapter 5, I focused on Asian savannas, which have been mismanaged since the colonial era due to misinterpretation as a degraded forest. I proposed a biome classification scheme to distinguish between degraded forest or woodland and savanna based on the abundance of grass biomass and canopy cover. I found that considering vegetation systems as woodland or degraded forest could easily be mistaken as a potential for forest restoration within a tree-centric perspective. This would put approximately 35% to 40% of a unique savanna biome at risk. Although projected woody encroachments may imply a transition toward the forest that benefits climate mitigation. This raises potential conflicts of interest between biodiversity conservation in open ecosystems, i.e., savanna and active afforestation, to enhance carbon sequestration. Proper management strategies should be taken into account to maintain a balance for both objective
In conclusion, the model predicted that vegetation in South and South-East Asia would significantly shift towards tree-dominated biomes due to CO2-induced fertilization of C3-photosynthesis. The simulation under fixed CO2 and rising CO2 scenarios clearly showed that rising level of atmospheric CO2 is responsible for most of the predicted change in biome properties. This study is an important step towards understanding ecosystems of South and Southeast Asia, specifically savannas. The aDGVM2 can serve as tools to inform decision making for climate adaptation and mitigation for savanna. The thesis, thus contributes to our ability to improve conservation strategies to mitigate the consequences of climate change.
This thesis presents research which spans three conference papers and one manuscript which has not yet been submitted for peer review.
The topic of 1 is the inherent complexity of maintaining perfect height in B-trees. We consider the setting in which a B-tree of optimal height contains n = (1−ϵ)N elements where N is the number of elements in full B-tree of the same height (the capacity of the tree). We show that the rebalancing cost when updating the tree—while maintaining optimal height—depends on ϵ. Specifically, our analysis gives a lower bound for the rebalancing cost of Ω(1/(ϵB)). We then describe a rebalancing algorithm which has an amortized rebalancing cost with an almost matching upper bound of O(1/(ϵB)⋅log²(min{1/ϵ,B})). We additionally describe a scheme utilizing this algorithm which, given a rebalancing budget f(n), maintains optimal height for decreasing ϵ until the cost exceeds the
budget at which time it maintains optimal height plus one. Given a rebalancing budget of Θ(logn), this scheme maintains optimal height for all but a vanishing fraction of sizes in the intervals between tree capacities.
Manuscript 2 presents empirical analysis of practical randomized external-memory algorithms for computing the connected components of graphs. The best known theoretical results for this problem are essentially all derived from results for minimum spanning tree algorithms. In the realm of randomized external-memory MST algorithms, the best asymptotic result has I/O-complexity O(sort(|E|)) in expectation while an empirically studied practical algorithm has a bound of O(sort(|E|)⋅log(|V|/M)). We implement and evaluate an algorithm for connected components with expected I/O-complexity O(sort(|E|))—a simplification of the MST
algorithm with this asymptotic cost, we show that this approach may also yield good results in practice.
In paper 3, we present a novel approach to simulating large-scale population protocol models. Naive simulation of N interactions of a population protocol with n agents and m states requires Θ(nlogm) bits of memory and Θ(N) time. For
very large n, this is prohibitive both in memory consumption and time, as interesting protocols will typically require N > n interactions for convergence. We describe a histogram-based simulation framework which requires Θ(mlogn) bits of memory instead—an improvement as it is typically the case that
n ≫ m. We analyze, implement, and compare a number of different data structures to perform correct agent sampling in this regime. For this purpose, we develop dynamic alias tables which allow sampling an interaction in expected amortized
constant time. We then show how to use sampling techniques to process agent interactions in batches, giving a simulation approach which uses subconstant time per interaction under reasonable assumptions.
With paper 4, we introduce the new model of fragile complexity for comparison-based algorithms. Within this model, we analyze classical comparison-based problems such as finding the minimum value of a set, selection (or finding the median), and sorting. We prove a number of lower and upper bounds and in particular, we give a number of randomized results which describe trade-offs not achievable by deterministic algorithms.
The weather of the atmospheric boundary layer significantly affects our life on Earth. Thus, a realistic modelling of the atmospheric boundary layer is crucial. Hereby, the processes of the atmospheric boundary layer depend on an accurate representation of the land-atmosphere coupling in the model. In this context the land surface temperature (LST) plays an important role. In this thesis, it is examined if the assimilation of LST can lead to improved estimates of the boundary layer and its processes.
To properly assimilate the LST retrievals, a suitable model equivalent in the weather prediction model is necessary. In the weather forecast model of the German Weather Service used here, the LST is modelled without a vegetation temperature. To compensate for this deficit, two different vegetation parameterizations were investigated and the better one, a conductivity scheme, was implemented. In order to make optimal use of the influence of the assimilation of the LST observation on the model system, it is useful to pass on the information of the observation to land and atmosphere already in the assimilation step. For that reason, a fully coupled land-atmosphere prediction model was used. Therefore, the existing control vector of the assimilation system, a local ensemble transform Kalman filter, was extended by the soil temperature and moisture. In two-day case studies in March and August 2017, different configurations of the augmented assimilation system were evaluated based on observing system simulation experiments (OSSE).
LST was assimilated hourly over two days in the weakly and strongly coupled assimilation system. In addition, every six hours a free 24-hour forecast was simulated. The experiments were validated with the simulated truth (a high-resolution model run) and compared against an experiment without assimilation. It was shown that the prediction of the boundary layer temperature, especially during the day, and the prediction of the soil temperature, during the whole day and night, could be improved.
The best impact of LST assimilation was achieved with the fully coupled system. The humidity variables of the model benefited only partially from the LST assimilation. For this reason, covariances in the model ensemble were investigated in more detail. To check their compatibility with the high-resolution model run the ensemble consistency score was introduced. It was found that the covariances between the LST and the temperatures of the high-resolution model run were better represented in the ensemble than those between the LST and the humidity variables.
Während den ersten Mikrosekunden nach dem Urknall glaubt man, dass unser Universum aus einer heißen, dichten und stark wechselwirkenden Materie bestanden haben soll, welche man das Quark-Gluonen-Plasma (QGP) nennt.
In diesem Medium sind die elementaren Bausteine der Materie, die Quarks und die Gluonen, nicht mehr in Hadronen gebunden, sondern können sich stattdessen wie quasi-freie Teilchen verhalten.
Für die ALICE Kollaboration an CERN's Large Hadron Collider (LHC) ist die Untersuchung dieses Mediums eines der Hauptziele. Um dieses Medium im Labor zu erzeugen, werden Protonen und Nukleonen auf nahezu Lichtgeschwindigkeit beschleunigt und anschließend zur Kollision gebracht. Dabei werden Schwerpunktsenergien von bis zu 13 TeV bei Proton-Proton (pp) Kollisionen und bis zu 5.02 TeV bei Blei-Blei (Pb--Pb) Kollisionen erreicht.
Bei solchen hochenergetischen Kollisionen werden die kritischen Werte der Energiedichte und Temperatur von jeweils ungefähr 1 GeV/c und undgefähr 155 MeV überschritten, welche mithilfe von "lattice QCD" bestimmt wurden. Sie bieten daher die perfekten Voraussetzungen für einen Phasenübergang von normaler Materie zu einem QGP.
Die Entwicklung eines solchen Mediums, beginnend bei der eigentlichen Kollision, gefolgt von der Ausbildung des Plasmas und der letztendlichen Hadronisierung, kann jedoch nicht direkt untersucht werden, da das Plasma eine extrem kurze Lebensdauer hat.
Die Studien die das QGP untersuchen möchten, müssen sich deshalb auf Teilchenmessungen und deren Veränderung aufgrund von Einflüssen durch das Medium beschränken.
Es ist noch nicht definitiv geklärt, ob sich ein QGP nur in Kollisionen schwerer Ionen bildet, oder ob dies auch in kleineren Kollisionssystemen wie Proton-Proton oder Proton-Blei der Fall ist.
Damit in dieser Thesis Einschränkungen bezüglich einer möglichen Erzeugung eines mini-GQP in kleinen Kollisionssystemen gemacht werden kann, wird der Fokus auf Messungen von neutralen Pionen und Eta Mesonen mit dem ALICE Detektor am CERN LHC gesetzt. Hierfür wird in einem Referenzsystem von Proton-Proton Kollisionen bei sqrt(s)=8 TeV und in einem Proton-Blei (p--Pb) System bei sqrt(sNN)=8.16 TeV, welches eine nukleare Modifikation erfährt, gemessen und die Ergebnisse verglichen.
Da in Proton-Proton Kollisionen die Bildung eines QGP, aufgrund zu geringer Energiedichte, nicht erwartet wird, dient eine Messung in diesem System als Messbasis, um Effekte der Kollision selbst von Effekten nach der Kollision zu separieren, welche die Teilchenproduktion beeinflussen.
Teilchen können zusätzlich zu dem QGP auch mit kalter Kernmaterie interagieren, was sich in asymmetrischen Proton-Blei Kollisionen testen lässt. In diesem Kollisionssystem wird größtenfalls ein vergleichsweise kleines QGP gebildet, wohingegen das Blei Ion selbst als kalte Kernmaterie agieren kann.
Zusätzlich zu den Mesonenmessungen wird in dieser Thesis auch die Erzeugung von direkten Photonen bei niedrigen Transversalimpulsen (pT) in multiplizitätsabhängigen p--Pb Kollisionen bei einer Schwerpunktsenergie von sNN=5.02 TeV gemessen, welche als direkte Probe, sowie als charakteristisches Signal des QGP gilt.
Die neutralen Pionen, welche in dieser Thesis gemessen werden, kann man als einen Überlagerungszustand der zwei leichtesten Quarksorten, dem "up" (u) und dem "down" (d) Quark, sowie deren entsprechenden Anti-Teilchen verstehen.
Das eta meson hingegen hat einen zusätzlichen Anteil des "strange" Quarks und eine resultierende höhere Masse.
Quarks sind Teil des Standardmodells der Teilchenphysik, welches die Elementarteilchen und die zwischen ihnen wirkenden Elementarkräfte, ausgeübt durch Bosonen, beschreibt.
Das Modell umfasst insgesamt sechs Quarks, welche sich durch ihre Masse und Ladung unterscheiden und als Grundbestandteil von gebundenen Zuständen, sogenannten Hadronen, fungieren.
Die "up" und "down" Quarks gelten hierbei als die leichtesten Quarks und kommen daher am häufigsten in der Natur vor. Das bekannteste Beipiel stellen hier die allgemein bekannten Protonen (uud) und Neutronen (udd) dar, welche die Grundkomponenten von Nukleonen sind.
Die restlichen Quarks tragen eine deutlich höhere Masse und haben daher eine große Tendenz, sich in leichtere Quarks umzuwandeln, wodurch ihre Lebensdauer sehr gering ist. Die "top" und "bottom" Quarks, welche die Schwersten sind, können daher nicht in gewöhnlicher Materie gefunden werden.
Sie können jedoch experimentell durch hoch energetische Teilchenkollisionen erzeugt werden und indirekt über ihre Zerfallsprodukte nachgewiesen werden.
Quarks tragen eine elektrische Ladung von entweder 1/3 oder 2/3, sowie eine Farbladung, wobei Letztere verantwortlich für ihre Bindung in Hadronen ist.
Hadronen bestehen entweder aus drei Quarks, dann werden sie Baryonen genannt, oder aus einem Quark-Antiquark Paar, welches Meson genannt wird.
Diese gebundenen Zustände erfüllen eine insgesamt neutrale Farbladung, sowie eine vollzählige elektrische Ladung.
Des Weiteren gibt es auch exotische Penta-Quark Zustände, welche aus vier Quarks und einem Antiquark bestehen und bereits experimentell nachgewiesen wurden.
Aufgrund der starken Wechselwirkung, welche durch Gluonen vermittelt wird, können Quarks nicht einzeln beobachtet werden.
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Shrubs are a characteristic component of savannas, where they coexist with trees and grasses. They are often part of woody encroachment phenomena, which have been observed globally, and the determinant of shrub encroachment cases, which are particularly of concern in African savannas. In response to climate change and land use change, African savannas are vulnerable to biome shifts and shrub encroachment is a process driving and explaining this risk.
We contribute to furthering the understanding of shrubs biogeography and ecology by considering the number of stems of woody plants to characterise shrubs phenotype and strategy. We postulate that shrubs are multi-stemmed, compared to single-stemmed trees and integrate this assumption in aDGVM2 (adaptive Dynamic Global Vegetation Model 2). Modelling a trait representing the number of stems of a woody plant implies a trade-off between single-stemmed plants having higher height growth potential and multi-stemmed plants having higher hydraulic capacity but limited height growth. Multi-stemmed individuals, being shorter, are more likely to suffer severe damage from fires than tall single-stemmed trees managing to grow their crown out of the flame zone.
We simulate potential vegetation over sub-Saharan Africa at 1° spatial resolution, with aDGVM2 and compare it to simulations without our shrub model turned on. We also test the impact of fire by including or excluding it from our simulations. To assess the accuracy and relevance of our approach, we benchmark our overall model’s performance against multiple satellite derived products of above ground biomass (AGBM), and against specific field measurements of AGBM. We further benchmark our results against vegetation cover type derived from satellite data.
We demonstrate that shrubs can be modelled as multi-stemmed woody plants in African savannas based on whole-plant trait trade-off without being predefined as static functional types. Indeed, the addition of our shrub model to aDGVM2 allows for shrubs to emerge dynamically through community assembly processes without a priori categorisation. Our shrub model also improves the simulated vegetation patterns simulated by aDGVM2 in sub-Saharan Africa, particularly in savannas. The simulated pattern of stem number per woody individual broadly follows our assumptions about biogeographic patterns as it is lowest in equatorial African forests and increases in savannas and grasslands as precipitation decreases. Shrubs are more abundant in more water-stressed regions where they have a competitive advantage over trees due to their increased relative water transport potential. However, in arid and hyper-arid regions, further investigations are required. Simulated shrub prevalence is higher in more open and fire prone landscapes, where woody cover and biomass are reduced.
Adding shrubs to aDGVM2, while increasing complexity allows for greater simulated diversity. As resilience and resistance of ecosystems have been shown to be influenced by diversity, such model development is necessary to improve our ability to forecast ecosystems responses to changes. However, there are challenges to fully tap this benefit. Assessing the accuracy and relevance of our approach is challenging. Data and simulations are conceptually different which limit the possibility to conclude based on comparison. Benchmarking challenge is exacerbated by the variability existing among satellite derived products and site studies observations. In areas of extremely low biomass and vegetation cover, such as deserts and semi-deserts, the accuracy of our model is more concerning as small differences in absolute values are relatively more important.
Categorisation of life-forms shapes our understanding of their ecology and biogeography, thus, consensus about their definition is direly needed. To contribute to this debate, we investigate how vegetation distribution patterns arising from our shrub model inform our understanding of shrub biogeography. First, shrub distribution in trait space (considering stem number), relatively to environmental drivers, concurs with our assumptions. Second, shrub spatial distribution is consistent with our characterisation assumptions. Third, the role of simulated shrubs in an ecosystem supports realistic ecological dynamics. Our model allows for, shrubs to exhibit a specific phenotype, but also a specific life-strategy, which we characterise in terms of persistence strategy (shrubs are mainly resprouters, in contrast to trees, which can be either resprouters or reseeders) and in terms of resource acquisition (rooting strategy) and allocation (carbon investment). Adding stem count as a trait to aDGVM2 increase the range of simulated functional diversity.
Our shrub model allows for aDGVM2 to simulate realistic ratio of grass to woody vegetation across sub-saharan Africa. Similarly, it simulates ratio of shrubs to trees consistent with our hypotheses.
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Syntactic and semantic aspects of supplementary relative clauses in English and Sōrānī Kurdish
(2020)
In this thesis, I examine and analyse supplementary relative clauses(SRCs), also known as non-restrictive relative clauses. SRCs have received considerably less attention in the study of relative clauses than integrated, or restrictive, relative clauses (IRCs). The (surface) syntactic structure of the two types of relative clauses (RCs) is largely identical. Therefore, it is not straightforward to determine where to locate the difference in the interpretation between IRCs and SRCs.To address this question, I focus on two types of English SRCs: determiner-which RCs, and SRCs introduced by that. Determiner-which RCs can only be interpreted as SRCs. Previous HPSG approaches built on the generalisation that that RCs cannot be SRCs. Hence there is no HPSG analysis for relative that in SRCs. In this thesis I show the acceptability of the two constructions by the American native speakers and provide both structures with an HPSG analysis.I extend my discussion beyond English by looking at relative clauses in Sorānī Kurdish. I argue that RCs in Sorānī Kurdish share essential properties withEnglish bare RCs and that RCs, though Sorānī Kurdish has no equivalent of wh-RCs. I also provide Sorānī Kurdish with an HPSG analysis.
Die Kommunikation von Zellen mit ihrer Umgebung wird durch Rezeptorproteine arrangiert, die sich in der Plasmamembran befinden. Membranrezeptoren werden durch die Bindung von extrazellulären Liganden, Pathogenen oder Zell-Zell-Interaktionen aktiviert, wodurch die Bildung eines aktiven Zustands gefördert wird, der eine intrazelluläre Reaktion einleitet. Eine Beschreibung auf molekularer Ebene, wie sich Membranrezeptoren in Proteinanordnungen organisieren und wie diese Proteinanordnungen eine spezifische funktionelle Aufgabe ausführen, ist der Ausgangspunkt für das Verständnis der molekularen Mechanismen, die Gesundheit und Krankheit zugrunde liegen.
Die Fluoreszenzmikroskopie gibt Aufschluss über die Lage von Proteinen in Zellen, und mit der Einführung der höchstauflösenden Mikroskopie wurde der Nachweis einzelner Proteingruppierungen möglich. Eine Einschränkung der meisten Methoden der höchstauflösenden Mikroskopie ist, dass einzelne Komponenten einer Proteingruppierung optisch nicht aufgelöst werden können, was an der geringen Größe und dichten Packung der Bestandteile im Vergleich zur erreichbaren räumlichen Auflösung liegt. Eine Lösung, die für Einzelmolekül-Lokalisierungsmethoden gezeigt wurde, besteht darin, zusätzliche experimentelle Informationen in die Analyse zu implementieren, also „die Aufl sungsgrenze der höchstauflösenden Mikroskopie zu umgehen". Bei der Einzelmolekül-Bildgebung kann diese zusätzliche Information zum Beispiel die Kinetik von mehrfachen und wiederkehrenden
Emissionsereignissen sein, die bei einzelnen Fluorophoren beobachtet werden, was als "Blinken" bezeichnet wird. Das Ziel dieser Arbeit war die Entwicklung einer höchstauflösenden Fluoreszenzmikroskopiemethode zur Detektion von Proteinmonomeren und -dimeren in der Plasmamembran von Zellen durch die Verwendung der kinetischen Information.
Im ersten Teil dieser Arbeit wurden photoschaltbare fluoreszierende Proteine als Reporter verwendet, deren photoschaltbare Kinetik mit kinetischen Gleichungen analysiert wurden.
Synthetische, genetische und zelluläre Referenzproteine wurden konstruiert und dienten als Kalibrierungsreferenzen für monomere und dimere Proteine.
Im zweiten Teil dieser Arbeit wurde das kinetische Modell, das zur Annäherung des Häufigkeitshistogramms von Blinkereignissen einzelner Fluorophore verwendet wird, auf Oligomere höherer Ordnung erweitert. Ein Vergleich mit einem zuvor entwickelten Modell zeigte, dass das erweiterte Modell genauere Ergebnisse für Oligomere höherer Ordnung und Mischungen verschiedener Oligomere liefert. Zusätzlich wird die Anwesenheit von unerkannten Oligomeren berücksichtigt. Die erweiterte Theorie bietet somit die Grundlage, um größere Oligomere und Mischungen unterschiedlicher Stöchiometrie mit besserer Genauigkeit zu untersuchen.
Im dritten Teil dieser Arbeit wurde eine Methode zur stöchiometrischen endogenen Markierung von Proteinen verwendet, um zwei Rezeptortyrosinkinasen, MET und EGFR, mit einem photoschaltbaren fluoreszierenden Protein zu markieren. Das Vorkommen von monomerem und dimerem MET-Rezeptor wurde auf der Plasmamembran von HEK293T- Zellen mittels quantitativer höchstauflösender Mikroskopie bestimmt. Der Diffusionskoeffizient und der Diffusionsmodus des MET-Rezeptors in lebenden HEK293T-Zellen wurden mit
Einzelpartikelverfolgung gemessen. Dieser Teil der Arbeit zeigte, dass die Kombination von CRISPR/Cas12a-gestützter endogener Markierung und Einzelmolekül-Lokalisierungsmikroskopie ein leistungsfähiges Werkzeug zur Untersuchung der molekularen Organisation und Dynamik von Membranproteinen ist.
Im vierten Teil dieser Arbeit wurde die Einzelmoleküldatenanalyse durch ein Softwaretool beschleunigt, das eine automatisierte und unvoreingenommene Detektion von Einzelmolekül-Emissionsereignissen ermöglicht. Der Anteil von Monomeren und Dimeren von fluoreszierenden Reportern wurde durch die Implementierung eines neuronalen Netzwerks bestimmt (die Software wurde von Alon Saguy geschrieben; Gruppe von Prof. Yoav Shechtman, Technion, Israel). Der oligomere Zustand der monomeren und dimeren Referenzproteine CD86 und CTLA-4 wurde erfolgreich bestimmt. Die automatisierte Detektion einzelner Proteingruppierungen ermöglichte die Analyse von MET-mEos4b in einzelnen Zellen, wodurch die Heterogenität zwischen den Zellen bestimmt und das Expressionsniveau des Rezeptors mit der Dimerisierung korreliert werden konnte.
Zusammenfassend wurden in dieser Arbeit Ergebnisse zu elementaren Aspekten hin zu einer molekularen Quantifizierung von Proteinzahlen mittels Einzelmolekül-
Lokalisationsmikroskopie generiert, die fluoreszierende Reporter, stöchiometrische Markierung von zellulären Proteinen und Bildanalyse umfassen. Das Potential dieser
Entwicklungen wurde anhand der Beobachtung der Liganden-induzierten Verschiebung von monomeren zu dimeren MET-Rezeptoren in einzelnen HEK293T-Zellen gezeigt.
Cancer is the major cause of death besides cardiovascular disease. Leukaemia represents the most prevalent malignancy in children with a frequency of 30 % and is one of the ten leading types of cancer in adults. Philadelphia Chromosome-positive B-ALL (Ph+ B-ALL) is driven by the cytogenetic aberration of the reciprocal chromosomal translocation t(9;22)(q34;q11) leading to the formation of the Philadelphia chromosome with a BCR-ABL1 fusion gene. This fusion gene encodes a BCR-ABL1 oncoprotein which is characterized by a constitutively enhanced tyrosine kinase activity promoting amplified proliferation, differentiation arrest and resistance to cell death. Ph+ B-ALL is considered the most aggressive ALL subtype with a long-term survival rate in the range of only 30 % despite intensive standard of care including chemotherapy in combination with a tyrosine kinase inhibitor (TKI) followed by allogeneic stem cell transplantation after remission for clinically fit patients.
The efficacy of chemotherapy has long been mainly attributed to tumour cell toxicity while immune modulating effects have been overlooked, especially in light of known immunosuppressive properties. Accumulative evidence, however, emphasizes the ability of chemotherapeutic agents, including TKIs, to normalise or re-educate a dysfunctional tumour microenvironment (TME) resulting in enhanced anti-tumour immunity. One of the underlying mechanisms of immune modulation is the induction of immunogenic cell death (ICD). ICD is an anti-tumour agent-induced cell death modality determined by the capacity to convert cancer cells into anti-cancer vaccines. The induction of ICD relies on the release of damage-associated molecular patterns (DAMPs) from dying tumour cells succumbing to ICD. Translocation of CALR to the cell surface, extracellular secretion of ATP and release of HMGB1 from the nucleus are key hallmarks of ICD that mediate anti-tumour immunity upon binding to antigen presenting cells resulting in a tumour antigen-specific immune response. Besides these molecular determinants, ICD is functionally defined by the inhibition of tumour growth in a vaccination assay in which mice are injected with tumour cells exposed to the potential ICD inducer in-vitro and then re-challenged with live tumour cells of the same cancer type. Both molecular and functional criteria determine the gold standard approach to assess ICD. By increasing the immunogenicity of cancer cells, ICD contributes to the restoration of immunosurveillance as an essential feature of tumour rejection, which is clinically reflected by improved therapeutic efficacy and disease outcome in patients. Therefore, identifying novel ICD inducers is an objective of interest in the context of cancer therapy.
In respect of these considerations, the aim addressed in the present work is the examination of the second-generation TKI Nilotinib for the ability to induce ICD. The thesis is set in the context of the group's research on the role of Gas6/TAM signalling within the TME regarding the pathogenesis of acute leukaemia. In in-vivo experiments of our research group it has been consistently observed that the use of Nilotinib enhances the anti-leukaemic immunity mediated by a deletion of Gas6. Against the background of increasing importance of chemotherapeutic agents as potent modulators of a dysregulated TME, it was hypothesized that Nilotinib may synergize with a Gas6-deficient environment by inducing ICD in Ph+ B-ALL cells.
In growth inhibition and Annexin V/Propidium iodide cell death assays Nilotinib was shown to induce cell death in concentration-dependent manner that occurs bimodally in terms of cell death modality ranging between apoptosis and necrosis. By ICD marker analysis, comprising flow-cytometric detection of CALR exposure, chemoluminescence-based ATP measurement and immunoblotting for HMGB1, it was found that Nilotinib-induced cell death is not accompanied by CALR exposure and ATP secretion, but is associated with the release of HMGB1. In macrophages co-culture experiments with Nilotinib-treated leukaemic cells, no relevant shift in terms of macrophages activation and polarisation was observed in either a juxtacrine or paracrine setup. In consistency with the results obtained in the in-vitro experiments, Nilotinib was not potent to elicit a protective immune response in mice within a vaccination assay.
Conclusively, Nilotinib was identified to not qualify as bona fide ICD inducer. The role of Nilotinib-induced cell death and HMGB1 release are proposed as objective for further investigation concerning the synergistic interplay between Nilotinib and a Gas6-deficient environment. Efforts addressing exploration and optimisation of the immunological potential of chemotherapeutic agents are a promising approach aimed at providing cancer patients with the best possible treatment in future.
A large number of chemicals are constantly introduced to surface water from anthropogenic and natural sources. Although substantial efforts have been made to identify these chemicals (e.g potentially anthropogenic contaminants) in surface waters using liquid chromatography coupled to high resolution mass spectrometry (LC-HRMS), a large number of LC-HRMS chemical signals often with high peak intensity are left unidentified. In addition to synthetic chemicals and transformation products, these signals may also represent plant secondary metabolites (PSMs) released from vegetation through various pathways such as leaching, surface run-off and rain sewers or input of litter from vegetation. While this may be considered as a confounding factor in screening of water contaminants, it could also contribute to the cumulative toxic risk of water contamination. However, it is hardly known to what extent these metabolites contribute to the chemical mixture of surface waters. Thus, reducing the number of unknowns in water samples by identifying also PSMs in significant concentrations in surface waters will help to improve monitoring and assessment of water quality potentially impacted by complex mixtures of natural and synthetic compounds. Therefore, the main focus of the present study was to identify the occurrence of PSMs in river waters and explore the link between the presence of vegetation along rivers and detection of their corresponding PSMs in river
water.
In order to achieve the goals of the present thesis, two chemical screening approaches, namely, non-target and target screening using LC-HRMS were implemented. (1) Non-target analysis involving a novel approach has been applied to associate unknown peaks of high intensity in LC-HRMS to PSMs from surrounding vegetation by focusing on peaks overlapping between river water and aqueous plant extracts (Annex A1). (2) LC–HRMS target screening in river waters were performed for about 160 PSMs, which were selected from a large phytotoxin database (Annex A2 and A3) considering their expected abundance in the vegetation, their potential mobility, persistence and toxicity in the water cycle and commercial availability of standards.
In non-target screening (Annex A1), a high number of overlapping peaks has been found in between aqueous plant extracts and water from adjacent location, suggesting a significant impact of vegetation on chemical mixtures detectable in river waters. The chemical structures were assigned for 12 pairs of peaks while several pairs of peaks
whose MS/MS spectra matched but no structure suggestion were made by the implemented software tools for retrieving possible chemical structure. Nevertheless, the pairs of peaks with matching spectra represented the same chemical structure. The identified compound belonged to different compound classes such as coumarins, flavonoids besides others. For the identified PSMs individual concentration up to 5 µg/L were measured. The concentration and the number of detected PSMs per sample were correlated with the rain event and vegetation coverage.
Target screening unraveled the occurrence of 33 out of 160 target compounds in river waters (Annex A2 and A3). The identified compounds belonged to different classes such as alkaloids, coumarins, flavonoids, and other compounds. Individual compound concentrations were up to several thousand ng/L with the toxic alkaloids narciclasine and
lycorine recording highest maximum concentrations. The neurotoxic alkaloid coniine from poison hemlock was detected at concentrations up to 0.4 µg/L while simple coumarins
esculetin and fraxidin occurred at concentrations above 1 µg/L. The occurrence of some PSMs in river water were correlated to the specific vegetation growing along the rivers while the others were linked to a wide range of vegetation. As an example, narciclasine and lycorine was emitted by the dominant plant species from Amaryllidaceae family (e.g. Galanthus nivalis (snow drop), Leucojum vernum and Anemone nemorosa) while intermedine and echimidine were from Symphytum officinale. The ubiquitous occurrence of simple coumarins fraxidin, scopoletin and aesculetin could be linked to their presence in a wide range of vegetation.
Due to lack of aquatic toxicity data for the identified PSMs (in both target and non-target) and extremely scarce exposure data, no reliable risk assessment was possible.
Alternatively, risk estimation was performed using the threshold for toxicological concern (TTC) concept developed for drinking water contaminants. Many of the identified PSMs
exceeded the TTC value (0.1 µg/L) thus caution should be taken when using such surface waters for drinking water abstraction or recreational use.
This thesis provides an overview of the occurrence of PSMs in river water impacted by the massive presence of vegetation. Concentration for many of the identified PSMs are well within the range of those of synthetic environmental contaminants. Thus, this study adds to a series of recent results suggesting that possibly toxic PSMs occur in relevant concentrations in European surface waters and should be considered in monitoring and risk assessment of water resources. Aquatic toxicity data for PSMs are extensively lacking but are required to include these compounds in the assessment of risks to aquatic organisms and for eliminating risks to human health during drinking water production.