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For cellular viability, transcription is a fundamental process. Hereby, the DNA plays the most elemental and highly versatile role. It has long been known that promoters contain conserved and often well-defined motifs, which dictate the site of transcription initiation by providing binding sites for regulatory proteins. However, research within the last decade revealed that it is promoters lacking conserved promoter motifs and transcribing constitutively expressed genes that constitute the majority of promoters in eukaryotes. While the process of transcription initiation is well studied, whether defined DNA sequence motifs are required for the transcription of constitutively expressed genes in eukaryotes remains unknown. In the highly divergent protozoan parasite Trypanosoma brucei, most of the proteincoding genes are organized in large polycistronic transcription units. The genes within one polycistronic transcription unit are generally unrelated and transcribed by a common transcription start site for which no RNA polymerase II promoter motifs have been identified so far. Thus, it is assumed that transcription initiation is not regulated but how transcription is initiated in T. brucei is not known. This study aimed to investigate the requirement of DNA sequence motifs and chromatin structures for transcription initiation in an organism lacking transcriptional regulation. To this end, I performed a systematic analysis to investigate the dependence of transcription initiation on the DNA sequence. I was able to identify GT-rich promoter elements required for directional transcription initiation and targeted deposition of the histone variant H2A.Z, a conserved component during transcription initiation. Furthermore, nucleosome positioning data in this work provide evidence that sites of transcription initiation are rather characterized by broad regions of open and more accessible chromatin than narrow nucleosome depleted regions as it is the case in other eukaryotes. These findings highlight the importance of chromatin during transcription initiation. Polycistronic RNA in T. brucei is separated by adding an independently transcribed miniexon during trans-splicing. The data in this work suggest that nucleosome occupancy plays an important role during RNA maturation by slowing down the progressing polymerase and thereby facilitating the choice of the proper splice site during trans-splicing. Overall, this work investigated the role of the DNA sequence during transcription initiation and nucleosome positioning in a highly divergent eukaryote. Furthermore, the findings shed light on the conservation of the requirement of DNA motifs during transcription initiation and the regulatory potential of chromatin during RNA maturation. The findings improve the understanding of gene expression regulation in T. brucei, a eukaryotic parasite lacking transcriptional Regulation.
Microvascular endothelial cells are an essential part of many biological barriers, such as the blood–brain barrier (BBB) and the endothelium of the arteries and veins. A reversible opening strategy to increase the permeability of drugs across the BBB could lead to improved therapies due to enhanced drug bioavailability. Vanilloids, such as capsaicin, are known to reversibly open tight junctions of epithelial and endothelial cells. In this study, we used several in vitro assays with the murine endothelial capillary brain cells (line cEND) as a BBB model to characterize the interaction between capsaicin and endothelial tight junctions.
Activation of the immune system in heart failure (HF) has been recognized for over 20 years. Initially, experimental studies demonstrated a maladaptive role of the immune system. However, several phase III trials failed to show beneficial effects in HF with therapies directed against an immune activation. Preclinical studies today describe positive and negative effects of immune activation in HF. These different effects depend on timing and aetiology of HF. Therefore, herein we give a detailed review on immune mechanisms and their importance for the development of HF with a special focus on commonalities and differences between different forms of cardiomyopathies. The role of the immune system in ischaemic, hypertensive, diabetic, toxic, viral, genetic, peripartum, and autoimmune cardiomyopathy is discussed in depth. Overall, initial damage to the heart leads to disease specific activation of the immune system whereas in the chronic phase of HF overlapping mechanisms occur in different aetiologies.
This book produces three main results. First, from publicly available statistics, it can be inferred that the interest rate risk from on-balance sheet term transformation of banks in Germany exceeds the euro area average and is bound to increase even further. German banks push for shorter-term funding and hardly counteract the increased demand for longer-term loans. Within Germany, savings banks and cooperative banks are particularly engaged. Second, the supervisory interest rate shock scenarios are found to be increasingly detached both from the historic and the forecasted development of interest rates in Germany. In particular, German banks have been exposed to fewer and smaller adverse changes of the term structure. This increasingly limits the informative content of mere exposure measures such as the Basel interest rate coefficient when used as risk measures as is common practice in banking supervision and economic research. An impact assessment further supports the conclusion that the least that is required is a more comprehensive set of shock scenarios. Third and finally, there is a reasonable theoretical rationale and there is strong empirical evidence for banks' search for yield in interest rate risk. In addition to the established positive link between the term spread and the taking of interest rate risk by banks an additional negative link can be explained theoretically and there is significant empirical evidence for its existence and relevance. There is even a threshold of income below which banks' search for yield in interest rate risk surfaces openly.
Pan-cancer analyses that examine commonalities and differences among various cancer types have emerged as a powerful way to obtain novel insights into cancer biology. Here we present a comprehensive analysis of genetic alterations in a pan-cancer cohort including 961 tumours from children, adolescents, and young adults, comprising 24 distinct molecular types of cancer. Using a standardized workflow, we identified marked differences in terms of mutation frequency and significantly mutated genes in comparison to previously analysed adult cancers. Genetic alterations in 149 putative cancer driver genes separate the tumours into two classes: small mutation and structural/copy-number variant (correlating with germline variants). Structural variants, hyperdiploidy, and chromothripsis are linked to TP53 mutation status and mutational signatures. Our data suggest that 7–8% of the children in this cohort carry an unambiguous predisposing germline variant and that nearly 50% of paediatric neoplasms harbour a potentially druggable event, which is highly relevant for the design of future clinical trials.
Calcium phosphate cement (CPC) is a well-established bone replacement material in dentistry and orthopedics. CPC mimics the physicochemical properties of natural bone and therefore shows excellent in vivo behavior. However, due to their brittleness, the application of CPC implants is limited to non-load bearing areas. Generally, the fiber-reinforcement of ceramic materials enhances fracture resistance, but simultaneously reduces the strength of the composite. Combining strong C-fiber reinforcement with a hydroxyapatite to form a CPC with a chemical modification of the fiber surface allowed us to adjust the fiber–matrix interface and consequently the fracture behavior. Thus, we could demonstrate enhanced mechanical properties of CPC in terms of bending strength and work of fracture to a strain of 5% (WOF5). Hereby, the strength increased by a factor of four from 9.2 ± 1.7 to 38.4 ± 1.7 MPa. Simultaneously, the WOF5 increased from 0.02 ± 0.004 to 2.0 ± 0.6 kJ∙m−2, when utilizing an aqua regia/CaCl2 pretreatment. The cell proliferation and activity of MG63 osteoblast-like cells as biocompatibility markers were not affected by fiber addition nor by fiber treatment. CPC reinforced with chemically activated C-fibers is a promising bone replacement material for load-bearing applications.
The molecular architecture of the meiotic chromosome axis as revealed by super-resolution microscopy
(2018)
During meiosis proteins of the chromosome axis are important for monitoring chromatin structure and condensation, for pairing and segregation of chromosomes, as well as for accurate recombination. They include HORMA-domain proteins, proteins of the DNA repair system, synaptonemal complex (SC) proteins, condensins and cohesins. To understand more about their function in shaping the meiotic chromosome it is crucial to establish a defined model of their molecular architecture. Up to now their molecular organization was analysed using conventional methods, like confocal scanning microscopy (CLSM) and transmission electron microscopy (TEM). Unfortunately, these techniques are limited either by their resolution power or their localization accuracy. In conclusion, a lot of data on the molecular organization of chromosome axis proteins stays elusive. For this thesis the molecular structure of the murine synaptonemal complex (SC) and the localization of its proteins as well as of three cohesins was analysed with isotropic resolution, providing new insights into their architecture and topography on a nanoscale level. This was done using immunofluorescence labelling in combination with super-resolution microscopy, line profiles and average position determination. The results show that the murine SC has a width of 221.6 nm ± 6.1 nm including a central region (CR) of 148.2 nm ± 2.6 nm. In the CR a multi-layered organization of the central element (CE) proteins was verified by measuring their strand diameters and strand distances and additionally by imaging potential anchoring sites of SYCP1 (synaptonemal complex protein 1) to the lateral elements (LEs). We were able to show that the two LEs proteins SYCP2 and SYCP3 do co-localize alongside their axis and that there is no significant preferential localization towards the inner LE axis of SYCP2.
The presented results also predict an orderly organization of murine cohesin complexes (CCs) alongside the chromosome axis in germ cells and support the hypothesis that cohesins in the CR of the SC function independent of CCs.
In the end new information on the molecular organization of two main components of the murine chromosome axis were retrieved with nanometer precision and previously unknown details of their molecular architecture and topography were unravelled.
Human herpesvirus 6A (HHV-6A) replicates in peripheral blood mononuclear cells (PBMCs) and various T-cell lines in vitro. Intriguingly, the virus can also establish latency in these cells, but it remains unknown what influences the decision between lytic replication and the latency of the virus. Incoming virus genomes are confronted with the nuclear domain 10 (ND10) complex as part of an intrinsic antiviral response. Most herpesviruses can efficiently subvert ND10, but its role in HHV-6A infection remains poorly understood. In this study, we investigated if the ND10 complex affects HHV-6A replication and contributes to the silencing of the virus genome during latency. We could demonstrate that ND10 complex was not dissociated upon infection, while the number of ND10 bodies was reduced in lytically infected cells. Virus replication was significantly enhanced upon knock down of the ND10 complex using shRNAs against its major constituents promyelocytic leukemia protein (PML), hDaxx, and Sp100. In addition, we could demonstrate that viral genes are more efficiently silenced in the presence of a functional ND10 complex. Our data thereby provides the first evidence that the cellular ND10 complex plays an important role in suppressing HHV-6A lytic replication and the silencing of the virus genome in latently infected cells.
It is a common belief that feral honey bee colonies (Apis mellifera L.) were eradicated in Europe through the loss of habitats, domestication by man and spread of pathogens and parasites. Interestingly, no scientific data are available, neither about the past nor the present status of naturally nesting honeybee colonies. We expected near-natural beech (Fagus sylvatica L.) forests to provide enough suitable nest sites to be a home for feral honey bee colonies in Europe. Here, we made a first assessment of their occurrence and density in two German woodland areas based on two methods, the tracing of nest sites based on forager flight routes (beelining technique), and the direct inspection of potential cavity trees. Further, we established experimental swarms at forest edges and decoded dances for nest sites performed by scout bees in order to study how far swarms from beekeeper-managed hives would potentially move into a forest. We found that feral honey bee colonies regularly inhabit tree cavities in near-natural beech forests at densities of at least 0.11-0.14 colonies/km\(^{2}\). Colonies were not confined to the forest edges; they were also living deep inside the forests. We estimated a median distance of 2,600 m from the bee trees to the next apiaries, while scout bees in experimental swarms communicated nest sites in close distances (median: 470 m). We extrapolate that there are several thousand feral honey bee colonies in German woodlands. These have to be taken in account when assessing the role of forest areas in providing pollination services to the surrounding land, and their occurrence has implications for the species' perception among researchers, beekeepers and conservationists. This study provides a starting point for investigating the life-histories and the ecological interactions of honey bees in temperate European forest environments.
By promoting ceramide release at the cytosolic membrane leaflet, the neutral sphingomyelinase 2 (NSM) is capable of organizing receptor and signalosome segregation. Its role in T cell receptor (TCR) signaling remained so far unknown. We now show that TCR-driven NSM activation is dispensable for TCR clustering and initial phosphorylation, but of crucial importance for further signal amplification. In particular, at low doses of TCR stimulatory antibodies, NSM is required for Ca\(^{2+}\) mobilization and T cell proliferation. NSM-deficient T cells lack sustained CD3ζ and ZAP-70 phosphorylation and are unable to polarize and stabilize their microtubular system. We identified PKCζ as the key NSM downstream effector in this second wave of TCR signaling supporting dynamics of microtubule-organizing center (MTOC). Ceramide supplementation rescued PKCζ membrane recruitment and MTOC translocation in NSM-deficient cells. These findings identify the NSM as essential in TCR signaling when dynamic cytoskeletal reorganization promotes continued lateral and vertical supply of TCR signaling components: CD3ζ, Zap70, and PKCζ, and functional immune synapses are organized and stabilized via MTOC polarization.
Sufficiently disordered metals display systematic deviations from the behavior predicted by semi-classical Boltzmann transport theory. Here the scattering events from impurities or thermal excitations can no longer be considered as additive-independent processes, as asserted by Matthiessen’s rule following from this picture. In the intermediate region between the regime of good conduction and that of insulation, one typically finds a change of sign of the temperature coefficient of resistivity, even at elevated temperature spanning ambient conditions, a phenomenology that was first identified by Mooij in 1973. Traditional weak coupling approaches to identify relevant corrections to the Boltzmann picture focused on long-distance interference effects such as “weak localization”, which are especially important in low dimensions (1D and 2D) and close to the zero-temperature limit. Here we formulate a strong-coupling approach to tackle the interplay of strong disorder and lattice deformations (phonons) in bulk three-dimensional metals at high temperatures. We identify a polaronic mechanism of strong disorder renormalization, which describes how a lattice locally responds to the relevant impurity potential. This mechanism, which quantitatively captures the Mooij regime, is physically distinct and unrelated to Anderson localization, but realizes early seminal ideas of Anderson himself, concerning the interplay of disorder and lattice deformations.
IgG3 is the IgG subclass with the strongest effector functions among all four IgG subclasses and the highest degree of allelic variability among all constant immunoglobulin genes. Due to its genetic position, IgG3 is often the first isotype an antibody switches to before IgG1 or IgG4. Compared with the other IgG subclasses, it has a reduced half-life which is probably connected to a decreased affinity to the neonatal Fc receptor (FcRn). However, a few allelic variants harbor an amino acid replacement of His435 to Arg that reverts the half-life of the resulting IgG3 to the same level as the other IgG subclasses. Because of its functional impact, we hypothesized that the p.Arg435His variation could be associated with susceptibility to autoantibody-mediated diseases like pemphigus vulgaris (PV) and bullous pemphigoid (BP). Using a set of samples from German, Turkish, Egyptian, and Iranian patients and controls, we were able to demonstrate a genetic association of the p.Arg435His variation with PV risk, but not with BP risk. Our results suggest a hitherto unknown role for the function of IgG3 in the pathogenesis of PV.
Interleukin-27 (IL27) is a type-I cytokine of the IL6/IL12 family and is predominantly secreted by activated macrophages and dendritic cells. We show that IL27 induces STAT factor phosphorylation in cancerous cell lines of different tissue origin. IL27 leads to STAT1 phosphorylation and recapitulates an IFN--like response in the microarray analyses, with up-regulation of genes involved in antiviral defense, antigen presentation, and immune suppression. Like IFN-, IL27 leads to an up-regulation of TAP2 and MHC-I proteins, which mediate increased tumor immune clearance. However, both cytokines also upregulate proteins such as PD-L1 (CD274) and IDO-1, which are associated with immune escape of cancer. Interestingly, differential expression of these genes was observed within the different cell lines and when comparing IL27 to IFN-. In coculture experiments of hepatocellular carcinoma (HCC) cells with peripheral blood mononuclear cells, pre-treatment of the HCC cells with IL27 resulted in lowered IL2 production by anti-CD3/-CD28 activated T-lymphocytes. Addition of anti-PD-L1 antibody, however, restored IL2 secretion. The levels of other T(H)1 cytokines were also enhanced or restored upon administration of anti-PD-L1. In addition, we show that the suppression of IL27 signaling by IL6-type cytokine pre-stimulationmimicking a situation occurring, for example, in IL6-secreting tumors or in tumor inflammation-induced cachexiacan be antagonized by antibodies against IL6-type cytokines or their receptors. Therapeutically, the antitumor effects of IL27 (mediated, e.g., by increased antigen presentation) might thus be increased by combining IL27 with blocking antibodies against PD-L1 or/and IL6-type cytokines.
The probiotic escherichia coli strain Nissle 1917 combats lambdoid bacteriophages stx and lambda
(2018)
Shiga toxin (Stx) producing E. coli (STEC) such as Enterohemorrhagic E. coli (EHEC) are the major cause of foodborne illness in humans. In vitro studies showed the probiotic Escherichia coil strain Nissle 1917 (EcN) to efficiently inhibit the production of Stx. Life threatening EHEC strains as for example the serotype 0104:H4, responsible for the great outbreak in 2011 in Germany, evolutionary developed from certain E. coll strains which got infected by stx2-encoding lambdoid phages turning the E. coil into lysogenic and subsequently Stx producing strains. Since antibiotics induce stx genes and Stx production, EHEC infected persons are not recommended to be treated with antibiotics. Therefore, EcN might be an alternative medication. However, because even commensal E. coli strains might be converted into Stx-producers after becoming host to a stx encoding prophage, we tested EcN for stx-phage genome integration. Our experiments revealed the resistance of EcN toward not only stx-phages but also against lambda-phages. This resistance was not based on the lack of or by mutated phage receptors. Rather it involved the expression of a phage repressor (pr) gene of a defective prophage in EcN which was able to partially protect E. coli K-12 strain MG1655 against stx and lambda phage infection. Furthermore, we observed EcN to inactivate phages and thereby to protect E. coli K-12 strains against infection by stx- as well as lambda-phages. Inactivation of lambda-phages was due to binding of lambda-phages to LamB of EcN whereas inactivation of stx-phages was caused by a thermostable protein of EcN. These properties together with its ability to inhibit Stx production make EcN a good candidate for the prevention of illness caused by EHEC and probably for the treatment of already infected people.
Panic Disorder (PD) is characterized by unexpected, recurrent panic attacks, which are not restricted to certain situations, medication or stimuli. Like other anxiety disorders, PD is a multifactorial disorder and develops through the interaction of genetic and environmental risk factors. Despite an estimated heritability of up to 48%, no distinct genetic mechanism could be revealed yet. A dysregulation of the stress response has been shown in patients with PD and several studies could find an association of components of the corticotropin-releasing factor (CRF) system with PD. The corticotropin releasing hormone receptor 1 (CRHR1) is the main receptor of CRF in the brain and thus a crucial regulator of cerebral CRF signaling. Recent genetic studies found an association of certain CRHR1 single nucleotide polymorphisms (SNPs) with PD and other anxiety disorders. Among the associated CRHR1 SNPs, rs17689918 showed further evidence in a multilevel study regulating CRHR1 gene expression in panic-relevant brain regions and affecting brain activation in fMRI experiments, as well as flight behavior in a behavioral avoidance task (Weber et al, 2015). Here, we aimed to investigate the underlying neurogenetic and neurobiological mechanisms, by which the rs17689918 risk allele affects CRHR1 gene expression and receptor function, and its putative function in the pathophysiology of PD.
Due to its intronic position and the predicted change of splicing regulatory elements by the risk allele of rs17689918, the expression of alternative spliced CRHR1 isoforms was investigated using quantitative real-time PCR (qPCR) in a human post-mortem brain tissue sample. Of eight known CRHR1 isoforms, expression of three CRHR1 isoforms and the CRHR1-IT1-CRHR1 readthrough transcript variant 5 – all expressing the seven transmembrane domains needed for functional receptors – was analyzed. Subsequently, electrophysiological assays were developed to measure the receptor activity of differentially expressed CRHR1 isoforms via co-expressed Kir2.3 potassium channels in vitro. In a second approach, possible epigenetic regulation of CRHR1 expression by rs17689918 was investigated by analyses of DNA methylation patterns of a CpG Island within the CRHR1 promoter region, firstly in a case-control sample for PD and secondly in a healthy control sample, separated in high and low anxious individuals. To investigate a possible gene × epigene × environment interaction, the impact of early life stress by means of childhood trauma was evaluated via the childhood trauma questionnaire (CTQ). Finally, consequences of differential DNA methylation of the CRHR1 promoter region on gene expression were investigated by luciferase-based reporter gene assays in vitro.
The expression of CRHR1β was significantly decreased in amygdalae and midbrains of risk allele carriers. The expression of CRHR1-IT1-CRHR1 readthrough transcript variant 5 was significantly increased in forebrains and midbrains of risk allele carriers. All other analyzed isoforms showed no differences in expression between non-risk and risk allele carriers of rs17689918. The electrophysiological recordings of membrane potential showed an activation of Kir2.3 channels by CRHR1β in contrast to an inconsistent mix of activation and inhibition of Kir2.3 by the main isoform CRHR1α. DNA methylation of the CRHR1 promoter region was significantly reduced in panic disorder patients, as well as in high anxious individuals of an independent healthy control sample, but no direct relation to the rs17689918 risk allele could be discerned. However, the combination of carrying the risk allele, low DNA methylation and high CTQ scores lead to increased sum scores in the Beck Anxiety Inventory (BAI) in healthy individuals. Functional analyses revealed an activation of gene expression by decreased DNA methylation of the promoter region in vitro.
Our results revealed that rs17689918 regulates CRHR1 function by increasing the expression of alternative transcript variants with altered function. Our analyses of DNA methylation revealed decreased methylation as a new risk factor for panic disorder and high anxious behavior, which in combination with other risk factors like childhood trauma and the rs17689918 risk allele might further increase cognitive and somatic anxiety symptoms. This supports the role of CRHR1 as a plasticity gene of anxiety behavior, i.e. a gene that is highly regulated by epigenetic or post-transcriptional mechanisms in response to environmental stressors. By its role in CRF signaling, the dysregulation of CRHR1 might extensively affect the stress response and contribute to the pathophysiology of stress-related disorders like PD. The understanding of the underlying mechanisms, especially the genetic and epigenetic regulation, would however enhance CRHR1 as a target of improved future therapeutics for PD and other anxiety disorders.
Cardiovascular diseases represent the leading cause of death worldwide, with myocardial infarction and strokes being the most common complications. In both cases, the appearance of an enlarged artery wall as a consequence of a growing plaque is responsible for the disturbance of the blood flow. The formation of plaques is driven by a chronic inflammatory condition known as atherosclerosis, characterized by an initial step of endothelial cell (EC) dysfunction followed by the recruitment of circulating immune cells into the tunica intima of the vessel. Accumulation of lipids and cells lead to the formation of atheromatous plaques that will define the cardiovascular outcome of an individual.
The role of the immune system in the progression of atherosclerosis has been widely recognized. By far, macrophages constitute the most abundant cell type in lesions and are known to be the major source of the lipid-laden foam cell pool during the course of the disease. However, other immune cells types, including T cells, dendritic cells (DCs) or mast cells, among others, have been described to be present in human and mouse plaques. How these populations can modulate the atherogenic process is dependent on their specialized function.
DCs constitute a unique population with the ability to bridge innate and adaptive immune responses, mainly by their strong capacity to present antigens bound to a major histocompatibility complex (MHC) molecule. Given their ability to polarize T cells and secrete cytokines, their role in atherosclerosis has gained attention for the development of new therapeutic approaches that could impact lesion growth. Hence, knowing the effect of a specific subset is an initial key step to evaluate its potential for clinical purposes. For example, the basic leucine zipper ATF-like 3 transcription factor (Batf3) controls the development of conventional dendritic cells type 1 (cDCs1), characterized by the expression of the surface markers CD8 and CD103. Initially, they were described to promote both T-helper 1 (Th1) and regulatory T cell (Treg) responses, known to accelerate and to protect against atherosclerosis, respectively. The first part of this thesis aimed to elucidate the potential role of Batf3-dependent DCs in atherosclerosis and concluded that even though systemic immune responses were mildly altered they do not modify the course of the disease and may not represent an attractive candidate for clinical studies.
DCs also have the ability to impact lesion growth through the release of a broad range of cytokines, which can either directly impact atherosclerotic plaques by modulating resident cells, or by further polarizing T cell responses. Among others, interleukin (IL) 23, a member of the IL-12 family of cytokines, has received much attention during the past year due to its connection to autoimmunity.
IL-23 is known to induce pathogenicity of Th17 cells and is responsible for the development of several autoimmune diseases including multiple sclerosis, psoriasis or rheumatoid arthritis. Interestingly, these patients often present with an accelerated course of atherosclerosis and thus, are at higher risk of developing cardiovascular events. Several epidemiological studies have pointed toward a possible connection between IL-23 and its receptor IL-23R in atherosclerosis, although their exact contribution remains to be elucidated. The second part of this thesis showed that resident antigen-presenting cells (APCs) in the aorta produced IL-23 during the steady state but this secretion was greatly enhanced after incubation with oxidized low-density lipoprotein (oxLDL). Furthermore, disruption of the IL-23R signaling led to decreased relative necrotic plaque area in lesions of Ldlr-/-Il23r-/- mice fed a high-fat diet (HFD) for 6 and 12 weeks compared to Ldlr-/- controls. A proposed mechanism involves that increased IL-23 production in the context of atherosclerosis may promote the pathogenicity of IL-23-responding T cells, especially IL-23R+ γδ T cells in the aortic root. Response to IL-23 might increase the release of granulocyte-macrophage colony-stimulating factor (GM-CSF) and IL-17 and alter the pro- and anti-inflammatory balance of cytokines in the aortic root. Altogether, these data showed that the IL-23 / IL-23R axis play a role in plaque stability.
Abstract
Background: Attention-deficit/ hyperactivity disorder (ADHD) ranges among the most common neurodevelopmental disorders worldwide with a prevalence of 3-12% in childhood and 1-5% for adults. Over the last decade extensive genetic research has been conducted in order to determine its causative genetic factors. None of the so far identified susceptibility genes, however, could explain the estimated ADHD heritability of 76%. In this thesis one of the most promising candidates -Cadherin 13 (Cdh13) - was examined in terms of its influence on the central serotonergic (5-HT) system. In addition to that, the Cdh13 protein distribution pattern was analysed over time.
Methods: The developing serotonergic system was compared over three embryonic and postnatal stages (E13.5, E17.5 and P7) in different Cdh13 genotypes (WT, HZ and KO) using immunohistochemistry and various double staining protocols.
Results: The raphe nuclei of the 5-HT system develop in spite of Cdh13 absence and show a comparable mature constellation. The cells in the KO, however, are slightly more scattered than in the WT. Furthermore the dynamics of their formation is altered, with a transient delay in migration at E13.5. In early developmental stages the total amount of serotonergic cells is reduced in KO and HZ, though their proportional distribution to the raphe nuclei stays constant. Strikingly, at P7 the absolute numbers are comparable again.
Concerning the Cdh13 protein, it shows high concentrations on fibres running through hindbrain and midbrain areas at E13.5. This, however, changes over time, and it becomes more evenly spread until P7. Furthermore, its presence in serotonergic cells could be visualised using confocal microscopy. Since the described pattern is only in parts congruent to the localisation of serotonergic neurons, it is most likely that Cdh13 is present in other developing neurotransmitter systems, such as the dopaminergic one, as well.
Conclusion: It could be proven that Cdh13 is expressed in serotonergic cells and that its knockout does affect the developing serotonergic system to some degree. Its absence, however, only slightly and transiently affects the measured parameters of serotonergic system development, indicating a possible compensation of CDH13 function by other molecules in the case of Cdh13 deficiency. In addition further indicators could be found for an influence of Cdh13 on outgrowth and path finding of neuronal processes.
Melanoma and Merkel cell carcinoma (MCC) are highly aggressive cancers of the skin that frequently escape immune recognition and acquire resistance to chemotherapeutic agents, which poses a major obstacle to successful cancer treatment. Recently, a new class of therapeutics targeting the programmed cell death-1 (PD-1) immune checkpoint receptor has shown remarkable efficacy in the treatment of both cancers. Blockade of PD-1 on T cells activates cancer-specific immune responses that can mediate tumor regression. The data presented in this Ph.D. thesis demonstrates that PD-1 is also expressed by subsets of cancer cells in melanoma and MCC. Moreover, this work identifies PD-1 as a novel tumor cell-intrinsic growth receptor, even in the absence of T cell immunity. PD-1 is expressed by tumorigenic cell subsets in melanoma patient samples and established human and murine cell lines that also co-express ABCB5, a marker of immunoregulatory tumor- initiating cells in melanoma. Consistently, melanoma-expressed PD-1 downmodulates T effector cell functions and increases the intratumoral frequency of tolerogenic myeloid- derived suppressor cells. PD-1 inhibition on melanoma cells by RNA interference, blocking antibodies, or mutagenesis of melanoma-PD-1 signaling motifs suppresses tumor growth in immunocompetent, immunocompromised, and PD-1-deficient tumor graft recipient mice. Conversely, melanoma-specific PD-1 overexpression enhances tumorigenicity, including in mice lacking adaptive immunity. Engagement of melanoma- PD-1 by its ligand PD-L1 promotes tumor growth, whereas melanoma-PD-L1 inhibition or knockout of host-PD-L1 attenuates growth of PD-1-positive melanomas. Mechanistically, the melanoma-PD-1 receptor activates mTOR signaling mediators, including ribosomal protein S6. In a proof-of-concept study, tumoral expression of phospho-S6 in pretreatment tumor biopsies correlated with clinical responses to anti-PD-1 therapy in melanoma patients. In MCC, PD-1 is similarly co-expressed by ABCB5+ cancer cell subsets in clinical tumor specimens and established human cell lines. ABCB5 renders MCC cells resistant to the standard-of-care chemotherapeutic agents, carboplatin and etoposide. Antibody-mediated ABCB5 blockade reverses chemotherapy resistance and inhibits tumor xenograft growth by enhancing chemotherapy-induced tumor cell killing. Furthermore, engagement of MCC-expressed PD-1 by its ligands, PD-L1 and PD-L2, promotes proliferation and activates MCC-intrinsic mTOR signaling. Consistently, antibody- mediated PD-1 blockade inhibits MCC tumor xenograft growth and phosphorylation of mTOR effectors in immunocompromised mice. In summary, these findings identify cancer cell-intrinsic functions of the PD-1 pathway in tumorigenesis and suggest that blocking melanoma- and MCC-expressed PD-1 might contribute to the striking clinical efficacy of anti-PD-1 therapy. Additionally, these results establish ABCB5 as a previously unrecognized chemoresistance mechanism in MCC.
Previous work of our group has established a role of sphingomyelinases in the regulation
of T cell responses to TCR or pathogen stimulation, and this became particularly
evident at the level of actin cytoskeletal dynamics. The formation of lipid membrane
microdomains is crucial for receptor clustering and signal induction, and therefore,
ceramide accumulation by membrane sphingomyelin breakdown is needed for signalling-
complex-assembly. Pathogen-induced overshooting of SMase activation substantially
impacted the formation of membrane protrusions, with T cell spreading as well as
a front/rear polarisation upon CD3/CD28 co-stimulation [103]. On the other hand, NSM
activation is part of the physiological TCR signal [67], indicating that a spatiotemporally
balanced NSM activation is crucial for its physiological function. It involves actin cytoskeletal
reorganisation and T cell polarisation. These two functions are also of central
importance in directional T cell migration and motility in tissues.
This thesis aims on defining the role of NSM in compartmentalisation of the T cell
membrane in polarisation and migration. Therefore, functional studies on the impact of
NSM activity in these processes had to be complemented by the development of tools
to study ceramide compartmentalisation in living T cells.
The human-bacterial pathogen interaction is a complex process that results from
a prolonged evolutionary arms race in the struggle for survival. The pathogen employs
virulence strategies to achieve host colonization, and the latter counteracts using defense
programs. The encounter of both organisms results in drastic physiological changes
leading to stress, which is an ancient response accompanying infection. Recent evidence
suggests that the stress response in the host converges with the innate immune pathways
and influences the outcome of infection. However, the contribution of stress and the exact
mechanism(s) of its involvement in host defense remain to be elucidated. Using the model
bacterial pathogen Shigella flexneri, and comparing it with the closely related pathogen
Salmonella Typhimurium, this study investigated the role of host stress in the outcome of
infection.
Shigella infection is characterized by a pronounced pro-inflammatory response
that causes intense stress in host tissues, particularly the intestinal epithelium, which
constitutes the first barrier against Shigella colonization. In this study, inflammatory
stress was simulated in epithelial cells by inducing oxidative stress, hypoxia, and cytokine
stimulation. Shigella infection of epithelial cells exposed to such stresses was strongly
inhibited at the adhesion/binding stage. This resulted from the depletion of sphingolipidrafts
in the plasma membrane by the stress-activated sphingomyelinases. Interestingly,
Salmonella adhesion was not affected, by virtue of its flagellar motility, which allowed the
gathering of bacteria at remaining membrane rafts. Moreover, the intracellular replication
of Shigella lead to a similar sphingolipid-raft depletion in the membrane across adjacent
cells inhibiting extracellular bacterial invasion.
Additionally, this study shows that Shigella infection interferes with the host stress
granule-formation in response to stress. Interestingly, infected cells exhibited a nuclear
depletion of the global RNA-binding stress-granule associated proteins TIAR and TIA-1
and their accumulation in the cytoplasm.
Overall, this work investigated different aspects of the host stress-response in the
defense against bacterial infection. The findings shed light on the importance of the host
stress-pathways during infection, and improve the understanding of different strategies
in host-pathogen interaction.
The obligate intracellular pathogen Chlamydia trachomatis is the causative agent of
trachoma related blindness and the sexually transmitted pelvic inflammatory disease.
Being an obligate intracellular pathogen, C. trachomatis has an intricate dependency
on the survival of the host cell. This relationship is indispensible owing to the fact that
the pathogen spends a considerable fraction of its biphasic lifecycle within a
cytoplasmic vacuole inside the host cell, the so-called chlamydial inclusion. The
cellular apoptotic-signalling network is governed by several finely tuned regulatory
cascades composed of pro- and anti-apoptotic proteins that respond to changes in
the cellular homeostasis. In order to facilitate its intracellular survival, Chlamydia has
been known to inhibit the premature apoptosis of the host cell via the stabilization of
several host anti-apoptotic proteins such as cIAP2 and Mcl-1. While the pro- and
anti-apoptotic proteins are the major regulators of the host apoptotic signalling
network, a class of the small non-coding RNAs called microRNAs (miRNAs) has
increasingly gained focus as a new level of regulatory control over apoptosis.
This work investigates the changes in the host miRNA expression profile post
Chlamydia infection using a high throughput miRNA deep sequencing approach.
Several miRNAs previously associated with the modulation for apoptotic signalling
were differentially expressed upon Chlamydia infection in human endothelial cells. Of
the differentially regulated miRNAs, miR-30c-5p was of particular interest since it had
been previously shown to target the tumor suppressor protein p53. Our lab and
others have previously demonstrated that Chlamydia can downregulate the levels of
p53 by promoting its proteasomal degradation. This work demonstrates that
Chlamydia infection promotes p53 downregulation by increasing the abundance of
miR-30c-5p and a successful infection cycle is hindered by a loss of miR-30c-5p.
Over the last decade, dedicated research aimed towards a better understanding of
apoptotic stimuli has greatly improved our grasp on the subject. While extrinsic
stress, deprivation of survival signals and DNA damage are regarded as major
proponents of apoptotic induction, a significant responsibility lies with the
mitochondrial network of the cell. Mitochondrial function and dynamics are crucial to
cell fate determination and dysregulation of either is decisive for cell survival and
pathogenesis of several diseases. The ability of the mitochondrial network to perform
its essential tasks that include ATP synthesis, anti-oxidant defense, and calcium
homeostasis amongst numerous other processes critical to cellular equilibrium is tied
closely to the fission and fusion of individual mitochondrial fragments. It is, thus,
8
unsurprising that mitochondrial dynamics is closely linked to apoptosis. In fact, many
of the proteins involved regulation of mitochondrial dynamics are also involved in
apoptotic signalling. The mitochondrial fission regulator, Drp1 has previously been
shown to be transcriptionally regulated by p53 and is negatively affected by a miR-
30c mediated inhibition of p53. Our investigation reveals a significant alteration in the
mitochondrial dynamics of Chlamydia infected cells affected by the loss of Drp1. We
show that loss of Drp1 upon chlamydial infection is mediated by the miR-30c-5p
induced depletion of p53 and results in a hyper-fused architecture of the
mitochondrial network.
While it is widely accepted that Chlamydia depends on the host cell metabolism for
its intracellular growth and development, the role of mitochondria in an infected cell,
particularly with respect to its dynamic nature, has not been thoroughly investigated.
This work attempts to illustrate the dependence of Chlamydia on miR-30c-5p induced
changes in the mitochondrial architecture and highlight the importance of these
modulations for chlamydial growth and development.
Anxiety and depressive disorders result from a complex interplay of genetic and environmental factors and are common mutual comorbidities. On the level of cellular signaling, regulator of G protein signaling 2 (Rgs2) has been implicated in human and rodent anxiety as well as rodent depression. Rgs2 negatively regulates G protein-coupled receptor (GPCR) signaling by acting as a GTPase accelerating protein towards the Gα subunit.
The present study investigates, whether mice with a homozygous Rgs2 deletion (Rgs2-/-) show behavioral alterations as well as an increased susceptibility to stressful life events related to human anxiety and depressive disorders and tries to elucidate molecular underlying’s of these changes.
To this end, Rgs2-/- mice were characterized in an aversive-associative learning paradigm to evaluate learned fear as a model for the etiology of human anxiety disorders. Spatial learning and reward motivated spatial learning were evaluated to control for learning in non-aversive paradigms. Rgs2 deletion enhanced learning in all three paradigms, rendering increased learning upon deletion of Rgs2 not specific for aversive learning. These data support reports indicating increased long-term potentiation in Rgs2-/- mice and may predict treatment response to conditioning based behavior therapy in patients with polymorphisms associated with reduced RGS2 expression. Previous reports of increased innate anxiety were corroborated in three tests based on the approach-avoidance conflict. Interestingly, Rgs2-/- mice showed novelty-induced hypo-locomotion suggesting neophobia, which may translate to the clinical picture of agoraphobia in humans and reduced RGS2 expression in humans was associated with a higher incidence of panic disorder with agoraphobia. Depression-like behavior was more distinctive in female Rgs2-/- mice. Stress resilience, tested in an acute and a chronic stress paradigm, was also more distinctive in female Rgs2-/- mice, suggesting Rgs2 to contribute to sex specific effects of anxiety disorders and depression.
Rgs2 deletion was associated with GPCR expression changes of the adrenergic, serotonergic, dopaminergic and neuropeptide Y systems in the brain and heart as well as reduced monoaminergic neurotransmitter levels. Furthermore, the expression of two stress-related microRNAs was increased upon Rgs2 deletion. The aversive-associative learning paradigm induced a dynamic Rgs2 expression change. The observed molecular changes may contribute to the anxious and depressed phenotype as well as promote altered stress reactivity, while reflecting an alter basal stress level and a disrupted sympathetic tone. Dynamic Rgs2 expression may mediate changes in GPCR signaling duration during memory formation.
Taken together, Rgs2 deletion promotes increased anxiety-like and depression-like behavior, altered stress reactivity as well as increased cognitive function.
As a consequence of the financial crisis in 2008/09, some economists have expressed doubts about the adequacy of theoretical models, especially those that claim to model financial markets and banks. Because of these doubts, some economists are following a new paradigm based on a monetary theory rather than a commodity theory. The main difference between these two views is that in the commodity theory money does not play an essential role, whereas in a money economy every transaction is settled with money. It is therefore essential to clarify whether a theory that includes money comes to other conclusions than a theory that leaves money out.
Based on this problem, the second chapter compares the conclusions from the commodity logic of the financial system - modeled by the loanable funds theory - with the monetary logic. Following the review of the conclusions, I describe three theories about banks. The so-called endogenous money creation theory, in which the central banks control the lending of banks through prices, describes our world best.
In the third chapter, I use the endogenous money creation theory for modelling the bank credit market. In this model, banks act according to profit maximization, whereby income from lending business is generated and the costs of credit default risk and refinancing costs (including regulatory requirements) are incurred. These are the determinants of the supply of credit, which meets the demand for credit on the credit market. Credit demand is determined by borrowers who borrow from banks for consumption or investment purposes. The interplay between loan supply and demand for credit results in the equilibrium loan interest rate and the equilibrium loan volume that banks grant to non-banks. The supply and demand sides interacting on the credit market are empirically estimated for Germany over the period 1999-2014 based on the theoretical model using a disequilibirum framework, showing that the determinants from the theoretical model are statistically significant.
Building on the theoretical banking model, the fourth chapter extends the model to include the bond market. In contrast to the description in the commodity theory, the bank loan market and the bond market are fundamentally different. On the one hand, banks create money according to the endogenous money creation theory. Once the money is in circulation, non-banks can redistribute it by either using it for the purchase of goods or borrowing it for longer periods. Due to the focus on the financial system in this dissertation, the case is considered in which money is lent over the longer term. The motive of the suppliers in the bond market, i.e. those who want to lend money, is similar to that of banks, driven by profit maximization. Suppliers can generate income from interest on bonds. Costs arise from the opportunity costs of holding money as deposits, the credit default of the debtor and price losses due to changes in interest rates. The logic described is based on the idea that banks create money, i.e. they are originators of money, and the money is redistributed on the bond market and thus used several times. The two markets are linked on both the supply and demand sides. On the one hand, banks refinance themselves on the bond market in order to reduce the maturity transformation resulting from lending. In addition, consumers of credit have the option of requesting either bank loans or loans on the bond market.
After the description of the theoretical framework of the financial system consisting of the banking and bond market, the fifth chapter follows the application of the model for Quantitative Easing. It should be noted here that Quantitative Easing already influences the behaviour of credit consumers and suppliers when the central bank announces it. The four major central banks (Bank of Japan, Bank of England, Federal Reserve Bank and European Central Bank) have used the unconventional instrument of buying up bonds due to the continuing recession and the already low short-term interest rates. In the theoretical model, the central bank already influences bond market rates through the announcement, resulting in decreasing risk premiums, as the central bank acts as a lender of confidence, decreasing interest expectations (at least in the short term) and decreasing long-term interest rates overall. These three hypotheses are tested using empirical methods for the Euro area.
For the differentiation of a embryonic stem cells (ESCs) to neuronal cells (NCs) a complex and coordinated gene regulation program is needed. One important control element for neuronal differentiation is the repressor element 1 silencing transcription factor (REST) complex, which represses neuronal gene expression in non-neuronal cells. Crucial effector proteins of the REST complex are small phosphatases such as the CTDSPs (C-terminal domain small phosphatases) that regulate polymerase II activity by dephosphorylating the C-terminal domain of the polymerase, thereby repressing target genes. The stepwise inactivation of REST, including the CTDSPs, leads to the induction of a neuron-specific gene program, which ultimately induces the formation of neurons. The spatio-temporal control of REST and its effector components is therefore a crucial step for neurogenesis.
In zebrafish it was shown that the REST-associated CTDSP2 is negatively regulated by the micro RNA (miR) -26b. Interestingly, the miR-26b is encoded in an intron of the primary transcript of CTDSP2. This gives the fundament of an intrinsic regulatory negative feedback loop, which is essential for the proceeding of neurogenesis. This feedback loop is active during neurogenesis, but inactive in non-neuronal cells. The reason for this is that the maturation of the precursor miR (pre-miR) to the mature miR-26 is arrested in non neuronal cells, but not in neurons. As only mature miRs are actively repressing genes, the regulation of miR-26 processing is an essential step in neurogenesis.
In this study, the molecular basis of miR-26 processing regulation in the context of neurogenesis was addressed. The mature miR is processed from two larger precursors: First the primary transcript is cleaved by the enzyme DROSHA in the nucleus to form the pre-miR. The pre-miR is exported from the nucleus and processed further through the enzyme DICER to yield the mature miR. The mature miR can regulate gene expression in association with the RNA-induced silencing complex (RISC).
Multiple different scenarios in which miR processing was regulated were proposed and experimentally tested. Microinjection studies using Xenopus leavis oocytes showed that slowdown or blockage of the nucleo-cytoplasmic transport are not the reason for delayed pre-miR-26 processing. Moreover, in vitro and in vivo miR-processing assays showed that maturation is most likely regulated through a in trans acting factor, which blocks processing in non neuronal cells.
Through RNA affinity chromatographic assays using zebrafish and murine lysates I was able to isolate and identify proteins that interact specifically with pre-miR-26 and could by this influence its biogenesis. Potential candidates are FMRP/FXR1/2, ZNF346 and Eral1, whose functional characterisation in the context of miR-biogenesis could now be addressed.
The second part of my thesis was executed in close colaboration with the laboratory of Prof. Albrecht Müller. The principal question was addressed how miR-26 influences neuronal gene expression and which genes are primarily affected. This research question could be addressed by using a cell culture model system, which mimics ex vivo the differentiation of ESCs to NCs via neuronal progenitor.
For the functional analysis of miR-26 knock out cell lines were generated by the CRISPR/Cas9 technology. miR-26 deficient ESC keep their pluripotent state and are able to develop NPC, but show major impairment in differentiating to NCs. Through RNA deep sequencing the miR-26 induced transcriptome differences could be analysed.
On the level of mRNAs it could be shown, that the expression of neuronal gene is downregulated in miR-26 deficient NCs. Interestingly, the deletion of miR-26 leads to selectively decreased levels of miRs, which on one hand regulate the REST complex and on the other hand are under transcriptional control by REST themself. This data and the discovery that induction of miR-26 leads to enrichment of other REST regulating miRs indicates that miR-26 initiates neurogenesis through stepwise inactivation of the REST complex.
Background
The intent of this pooled analysis as part of the German society for radiation oncology (DEGRO) stereotactic body radiotherapy (SBRT) initiative was to analyze the patterns of care of SBRT for liver oligometastases and to derive factors influencing treated metastases control and overall survival in a large patient cohort.
Methods
From 17 German and Swiss centers, data on all patients treated for liver oligometastases with SBRT since its introduction in 1997 has been collected and entered into a centralized database. In addition to patient and tumor characteristics, data on immobilization, image guidance and motion management as well as dose prescription and fractionation has been gathered. Besides dose response and survival statistics, time trends of the aforementioned variables have been investigated.
Results
In total, 474 patients with 623 liver oligometastases (median 1 lesion/patient; range 1–4) have been collected from 1997 until 2015. Predominant histologies were colorectal cancer (n = 213 pts.; 300 lesions) and breast cancer (n = 57; 81 lesions). All centers employed an SBRT specific setup. Initially, stereotactic coordinates and CT simulation were used for treatment set-up (55%), but eventually were replaced by CBCT guidance (28%) or more recently robotic tracking (17%). High variance in fraction (fx) number (median 1 fx; range 1–13) and dose per fraction (median: 18.5 Gy; range 3–37.5 Gy) was observed, although median BED remained consistently high after an initial learning curve. Median follow-up time was 15 months; median overall survival after SBRT was 24 months. One- and 2-year treated metastases control rate of treated lesions was 77% and 64%; if maximum isocenter biological equivalent dose (BED) was greater than 150 Gy EQD2Gy, it increased to 83% and 70%, respectively. Besides radiation dose colorectal and breast histology and motion management methods were associated with improved treated metastases control.
Conclusion
After an initial learning curve with regards to total cumulative doses, consistently high biologically effective doses have been employed translating into high local tumor control at 1 and 2 years. The true impact of histology and motion management method on treated metastases control deserve deeper analysis. Overall survival is mainly influenced by histology and metastatic tumor burden.
The cell wall synthesis pathway producing peptidoglycan is a highly coordinated and tightly regulated process. Although the major components of bacterial cell walls have been known for decades, the complex regulatory network controlling peptidoglycan synthesis and many details of the cell division machinery are not well understood. The eukaryotic-like serine/threonine kinase Stk and the cognate phosphatase Stp play an important role in cell wall biosynthesis and drug resistance in S. aureus. We show that stp deletion has a pronounced impact on cell wall synthesis. Deletion of stp leads to a thicker cell wall and decreases susceptibility to lysostaphin. Stationary phase Δstp cells accumulate peptidoglycan precursors and incorporate higher amounts of incomplete muropeptides with non-glycine, monoglycine and monoalanine interpeptide bridges into the cell wall. In line with this cell wall phenotype, we demonstrate that the lipid II:glycine glycyltransferase FemX can be phosphorylated by the Ser/Thr kinase Stk in vitro. Mass spectrometric analyses identify Thr32, Thr36 and Ser415 as phosphoacceptors. The cognate phosphatase Stp dephosphorylates these phosphorylation sites. Moreover, Stk interacts with FemA and FemB, but is unable to phosphorylate them. Our data indicate that Stk and Stp modulate cell wall synthesis and cell division at several levels.
The control of energy homeostasis is of pivotal importance for all living organisms. In the last years emerged the idea that many stress responses that are apparently unrelated, are actually united by a common increase of the cellular energy demand. Therefore, the so called energy signaling is activated by many kind of stresses and is responsible for the activation of the general stress response. In Arabidopsis thaliana the protein family SnF1- related protein kinases (SnRK1) is involved in the regulation of many physiological processes but is more known for its involvement in the regulation of the energy homeostasis in response to various stresses. To the SnRK1 protein family belong SnRK1.1 (also known as KIN10), SnRK1.2 (KIN11), and SnRK1.3 (KIN12). SnRK1 exerts its function regulating directly the activity of metabolic enzymes or those of key transcription factors (TFs). The only TFs regulated by SnRK1 identified so far is the basic leucine zipper (bZIP) 63. bZIP63 belongs to the C group of bZIPs (C-bZIPs) protein family together with bZIP9, bZIP10, and bZIP25. SnRK1.1 phosphorylates bZIP63 on three amino acids residues, serine (S) 29, S294, and S300. The phosphorylation of tbZIP63 is strongly related to the energy status of the plant, shifting from almost absent during the normal growth to strongly phosphorylated when the plant is exposed to extended dark. bZIPs normally bind the DNA as dimer in order to regulate the expression of their target genes. C-bZIPs preferentially form dimers with S1-bZIPs, constituting the so called C/S1- bZIPs network. The SnRk1 dependent phosphorylation of bZIP63 regulates its activation potential and its dimerization properties. In particular bZIP63 shift its dimerization preferences according to its phosphorylation status. The non-phosphorylated form of bZIP63 dimerize bZIP1, the phosphorylates ones, instead, forms dimer with bZIP1, bZIP11, and bZIP63 its self. Together with bZIP63, S1-bZIPs are important mediator of part of the huge transcriptional reprogramming induced by SnRK1 in response to extended dark. S1-bZIPs regulate, indeed, the expression of 4'000 of the 10'000 SnRK1-regulated genes in response to energy deprivation. In particular S1-bZIPs are very important for the regulation of many genes encoding for enzymes involved in the amino acid metabolism and for their use as alternative energy source. After the exposition for some hours to extended dark, indeed, the plant make use of every energy substrate and amino acids are considered an important energy source together with lipids and proteins. Interestingly, S1- bZIPs regulate the expression of ETFQO. ETFQO is a unique protein that convoglia the electrons provenienti from the branch chain amino acids catabolism into the mitochondrial electron transport chain. The dimer formed between bZIP63 and bZIP2 recruits SnRK1.1 directly on the chromatin of ETFQO promoter. The recruitment of SnRK1 on ETFQO promoter is associated with its acetylation on the lysine 14 of the histone protein 3 (K14H3). This chromatin modification is normally asociated with an euchromatic status of the DNA and therefore with its transcriptional activation. Beside the particular case of the regulation of ETFQO gene, S1-bZIPs are involved in the regulation of many other genes activated in response of different stresses. bZIP1 is for example an important mediator of the salt stress response. In particular bZIP1 regulates the primary C- and N-metabolism. The expression of bZIP1, in response of both salt ans energy stress seems to be regulated by SnRK1, as it is the expression of bZIP53 and bZIP63.
Beside its involvement in the regulation of the energy stress response and salt response, SnRK1 is the primary activators of the lipids metabolism during see germination. SnRK1, indeed, controls the expression of CALEOSINs and OLEOSINs. Those proteins are very important for lipids remobilization from oil droplets. Without their expression seed germination and subsequent establishment do not take place because of the absence of fuel to sustain these highly energy costly processes, which entirely depend on the catabolism of seed storages.
More than 25 years after the first peptide receptor radionuclide therapy (PRRT), the concept of somatostatin receptor (SSTR)-directed imaging and therapy for neuroendocrine tumors (NET) is seeing rapidly increasing use. To maximize the full potential of its theranostic promise, efforts in recent years have expanded recommendations in current guidelines and included the evaluation of novel theranostic radiotracers for imaging and treatment of NET. Moreover, the introduction of standardized reporting framework systems may harmonize PET reading, address pitfalls in interpreting SSTR-PET/CT scans and guide the treating physician in selecting PRRT candidates. Notably, the concept of PRRT has also been applied beyond oncology, e.g. for treatment of inflammatory conditions like sarcoidosis. Future perspectives may include the efficacy evaluation of PRRT compared to other common treatment options for NET, novel strategies for closer monitoring of potential side effects, the introduction of novel radiotracers with beneficial pharmacodynamic and kinetic properties or the use of supervised machine learning approaches for outcome prediction. This article reviews how the SSTR-directed theranostic concept is currently applied and also reflects on recent developments that hold promise for the future of theranostics in this context.
The immune suppressants cyclosporin A (CsA) and tacrolimus (FK506) are used worldwide in transplantation medicine to suppress graft rejection. Both CsA and FK506 inhibit the phosphatase calcineurin (CN) whose activity controls the immune receptor-mediated activation of lymphocytes. Downstream targets of CN in lymphocytes are the nuclear factors of activated T cells (NFATs). We show here that the activity of NFATc1, the most prominent NFAT factor in activated lymphocytes supports the acute rejection of heterotopic heart allografts. While ablation of NFATc1 in T cells prevented graft rejection, ectopic expression of inducible NFATc1/αA isoform led to rejection of heart allografts in recipient mice. Acceptance of transplanted hearts in mice bearing NFATc1-deficient T cells was accompanied by a reduction in number and cytotoxicity of graft infiltrating cells. In CD8\(^+\) T cells, NFATc1 controls numerous intracellular signaling pathways that lead to the metabolic switch to aerobic glycolysis and the expression of numerous lymphokines, chemokines, and their receptors, including Cxcr3 that supports the rejection of allogeneic heart transplants. These findings favors NFATc1 as a molecular target for the development of new strategies to control the cytotoxicity of T cells upon organ transplantation.
The molecular basis of signal-dependent transcriptional activation has been extensively studied in macrophage polarization, but our understanding remains limited regarding the molecular determinants of repression. Here we show that IL-4-activated STAT6 transcription factor is required for the direct transcriptional repression of a large number of genes during in vitro and in vivo alternative macrophage polarization. Repression results in decreased lineage-determining transcription factor, p300, and RNA polymerase II binding followed by reduced enhancer RNA expression, H3K27 acetylation, and chromatin accessibility. The repressor function of STAT6 is HDAC3 dependent on a subset of IL-4-repressed genes. In addition, STAT6-repressed enhancers show extensive overlap with the NF-κB p65 cistrome and exhibit decreased responsiveness to lipopolysaccharide after IL-4 stimulus on a subset of genes. As a consequence, macrophages exhibit diminished inflammasome activation, decreased IL-1β production, and pyroptosis. Thus, the IL-4-STAT6 signaling pathway establishes an alternative polarization-specific epigenenomic signature resulting in dampened macrophage responsiveness to inflammatory stimuli.
On the basis of the results of previous national and international trials and studies, the Renal Tumour Study Group of the International Society of Paediatric Oncology (SIOP–RTSG) has developed a new study protocol for paediatric renal tumours: the UMBRELLA SIOP–RTSG 2016 protocol (the UMBRELLA protocol). Currently, the overall outcomes of patients with Wilms tumour are excellent, but subgroups with poor prognosis and increased relapse rates still exist. The identification of these subgroups is of utmost importance to improve treatment stratification, which might lead to reduction of the direct and late effects of chemotherapy. The UMBRELLA protocol aims to validate new prognostic factors, such as blastemal tumour volume and molecular markers, to further improve outcome. To achieve this aim, large, international, high-quality databases are needed, which dictate optimization and international harmonization of specimen handling and comprehensive sampling of biological material, refine definitions and improve logistics for expert review. To promote broad implementation of the UMBRELLA protocol, the updated SIOP–RTSG pathology and molecular biology protocol for Wilms tumours has been outlined, which is a consensus from the SIOP–RTSG pathology panel.
As a cradle of ancient Chinese civilization, the Yellow River Basin has a very long human-environment interrelationship, where early anthropogenic activities re- sulted in large scale landscape modifications. Today, the impact of this relationship
has intensified further as the basin plays a vital role for China’s continued economic
development. It is one of the most densely-populated, fastest growing, and most dynamic
regions of China with abundant natural and environmental resources providing a livelihood for almost 190 million people. Triggered by fundamental economic reforms, the
basin has witnessed a spectacular economic boom during the last decades and can be
considered as an exemplary blueprint region for contemporary dynamic Global Change
processes occurring throughout the country, which is currently transitioning from an
agrarian-dominated economy into a modern urbanized society. However, this resourcesdemanding growth has led to profound land use changes with adverse effects on the Yellow
River social-ecological systems, where complex challenges arise threatening a long-term
sustainable development.
Consistent and continuous remote sensing-based monitoring of recent and past land
cover and land use change is a fundamental requirement to mitigate the adverse impacts
of Global Change processes. Nowadays, technical advancement and the multitude of
available satellite sensors, in combination with the opening of data archives, allow the
creation of new research perspectives in regional land cover applications over heterogeneous landscapes at large spatial scales. Despite the urgent need to better understand the
prevailing dynamics and underlying factors influencing the current processes, detailed
regional specific land cover data and change information are surprisingly absent for this
region.
In view of the noted research gaps and contemporary developments, three major objectives are defined in this thesis. First (i), the current and most pressing social-ecological
challenges are elaborated and policy and management instruments towards more sustainability are discussed. Second (ii), this thesis provides new and improved insights on
the current land cover state and dynamics of the entire Yellow River Basin. Finally (iii),
the most dominant processes related to mining, agriculture, forest, and urban dynamics
are determined on finer spatial and temporal scales.
The complex and manifold problems and challenges that result from long-term abuse
of the water and land resources in the basin have been underpinned by policy choices,
cultural attitude, and institutions that have evolved over centuries in China. The tremendous economic growth that has been mainly achieved by extracting water and exploiting
land resources in a rigorous, but unsustainable manner, might not only offset the economic benefits, but could also foster social unrest. Since the early emergence of the first Chinese dynasties, flooding was considered historically as a primary issue in river management and major achievements have been made to tame the wild nature of the Yellow
River. Whereas flooding is therefore largely now under control, new environmental and
social problems have evolved, including soil and water pollution, ecological degradation,
biodiversity decline, and food security, all being further aggravated by anthropogenic
climate change. To resolve the contemporary and complex challenges, many individual
environmental laws and regulations have been enacted by various Chinese ministries.
However, these policies often pursue different, often contradictory goals, are too general
to tackle specific problems and are usually implemented by a strong top-down approach.
Recently, more flexible economic and market-based incentives (pricing, tradable permits,
investments) have been successfully adopted, which are specifically tailored to the respective needs, shifting now away from the pure command and regulating instruments.
One way towards a more holistic and integrated river basin management could be the
establishment of a common platform (e.g. a Geographical Information System) for data
handling and sharing, possibly operated by the Yellow River Basin Conservancy Commission (YRCC), where available spatial data, statistical information and in-situ measures
are coalesced, on which sustainable decision-making could be based. So far, the collected
data is hardly accessible, fragmented, inconsistent, or outdated.
The first step to address the absence and lack of consistent and spatially up-to-date
information for the entire basin capturing the heterogeneous landscape conditions was
taken up in this thesis. Land cover characteristics and dynamics were derived from
the last decade for the years 2003 and 2013, based on optical medium-resolution hightemporal MODIS Normalized Differenced Vegetation Index (NDVI) time series at 250 m.
To minimize the inherent influence of atmospheric and geometric interferences found in
raw high temporal data, the applied adaptive Savitzky-Golay filter successfully smoothed
the time series and substantially reduced noise. Based on the smoothed time series
data, a large variety of intra-annual phenology metrics as well as spectral and multispectral annual statistics were derived, which served as input variables for random
forest (RF) classifiers. High quality reference data sets were derived from very high
resolution imagery for each year independently of which 70 % trained the RF models. The
accuracy assessments for all regionally specific defined thematic classes were based on the
remaining 30 % reference data split and yielded overall accuracies of 87 % and 84 % for
2003 and 2013, respectively. The first regional adapted Yellow River Land Cover Products
(YRB LC) depict the detail spatial extent and distribution of the current land cover status
and dynamics. The novel products overall differentiate overall 18 land cover and use
classes, including classes of natural vegetation (terrestrial and aquatic), cultivated classes,
mosaic classes, non-vegetated, and artificial classes, which are not presented in previous
land cover studies so far.
Building on this, an extended multi-faceted land cover analysis on the most prominent
land cover change types at finer spatial and temporal scales provides a better and more
detailed picture of the Yellow River Basin dynamics. Precise spatio-temporal products
about mining, agriculture, forest, and urban areas were examined from long-trem Landsat
satellite time series monitored at annual scales to capture the rapid rate of change in four
selected focus regions. All archived Landsat images between 2000 and 2015 were used to
derive spatially continuous spectral-temporal, multi-spectral, and textural metrics. For
each thematic region and year RF models were built, trained and tested based on a stablepixels reference data set. The automated adaptive signature (AASG) algorithm identifies those pixels that did not change between the investigated time periods to generate a
mono-temporal reference stable-pixels data set to keep manual sampling requirements
to a minimum level. Derived results gained high accuracies ranging from 88 % to 98 %.
Throughout the basin, afforestation on the Central Loess Plateau and urban sprawl are
identified as most prominent drivers of land cover change, whereas agricultural land
remained stable, only showing local small-scale dynamics. Mining operations started in
2004 on the Qinghai-Tibet Plateau, which resulted in a substantial loss of pristine alpine
meadows and wetlands.
In this thesis, a novel and unique regional specific view of current and past land cover
characteristics in a complex and heterogeneous landscape was presented by using a
multi-source remote sensing approach. The delineated products hold great potential for
various model and management applications. They could serve as valuable components
for effective and sustainable land and water management to adapt and mitigate the
predicted consequences of Global Change processes.
Fabry disease (FD) is an X-linked lysosomal storage disorder with intracellular accumulation of globotriaosylceramide (Gb3) due to α-galactosidase A deficiency. We studied α-galactosidase A knockout mice (GLA KO) as a model for sensory disturbance and pain in FD.
Pain associated behavior of young (3 months) and old (≥18 months) GLA KO mice and wildtype (WT) littermates in an inflammatory and a neuropathic pain model was investigated. Furthermore, affective and cognitive behavior was assessed in the naïve state and in an inflammatory pain model. Gene and protein expression of pain associated ion channels and Gb3 accumulation in dorsal root ganglion (DRG) neurons was determined. We also performed patch clamp analysis on cultivated DRG neurons and human embryonic kidney 293 (HEK) cells expressing voltage-gated-sodium channel 1.7 (Nav1.7) as an in vitro model of FD. Intracellular Gb3 deposits were modulated using shRNA silencing of α-galactosidase A.
After intraplantar injection of complete Freund`s adjuvant (CFA) and chronic constriction injury (CCI) of the right sciatic nerve, old GLA KO mice did not develop heat and mechanical hypersensitivity in contrast to young GLA KO and old WT mice. Additionally, we found no relevant differences between genotypes and age-groups in affective and cognitive behavior in the naïve state and after CFA injection. Gene and protein expression analysis provided no explanation for the observed sensory impairment. However, cultured DRG neurons of old GLA KO mice revealed a marked decrease of sodium and Ih-currents compared to young GLA KO and old WT mice. DRG neurons of old GLA KO mice displayed substantial intracellular accumulation of Gb3 compared to young GLA KO and old WT mice. Similar to cultured neurons, sodium currents were also decreased in HEK cells treated with shRNA and consecutively increased intracellular Gb3 deposits compared to the control condition, but could be rescued by treatment with agalsidase-alpha.
Our study unveils that, similar to patients with FD, GLA KO mice display age-dependent sensory deficits. However, contrary to patients, GLA KO mice are also protected from hypersensitivity induced by inflammation and nerve lesion due to Gb3-dependent and reversible reduction of neuronal sodium- and Ih-currents. Our data provide evidence for direct Gb3-dependent ion channel impairment in sensory DRG neurons as a potential contributor to sensory dysfunction and pain in FD.
Direct Heteroarylation Polymerization (DHAP) is becoming a valuable alternative to classical polymerization methods being used to synthesize π-conjugated polymers for organic electronics applications. In previous work, we showed that theoretical calculations on activation energy (Ea) of the C–H bonds were helpful to rationalize and predict the selectivity of the DHAP. For readers’ convenience, we have gathered in this work all our previous theoretical calculations on Ea and performed new ones. Those theoretical calculations cover now most of the widely utilized electron-rich and electron-poor moieties studied in organic electronics like dithienyl-diketopyrrolopyrrole (DT-DPP) derivatives. Theoretical calculations reported herein show strong modulation of the Ea of C–H bond on DT-DPP when a bromine atom or strong electron withdrawing groups (such as fluorine or nitrile) are added to the thienyl moiety. Based on those theoretical calculations, new cyanated dithienyl-diketopyrrolopyrrole (CNDT-DPP) monomers and copolymers were prepared by DHAP and their electro-optical properties were compared with their non-fluorinated and fluorinated analogues.
The aim of this thesis was the development of a multifunctional coating system for AuNPs based on thioether polymers, providing both excellent colloidal stability and a variable possibility to introduce functionalities for biological applications.
First, two thioether-polymer systems were synthesised as a systematic investigation into colloidal stabilisation efficacy. Besides commonly used monovalent poly(ethylene glycol) (PEG-SR), its structural analogue linear poly(glycidol) (PG-SR) bearing multiple statistically distributed thioether moieties along the backbone was synthesised. Additionally, respective thiol analogues (PEG-SH and PG-SH) were produced and applied as reference.
Successive modification of varyingly large AuNPs with aforementioned thiol- and thioether-polymers was performed via ligand exchange reaction on citrate stabilised AuNPs. An increased stabilisation efficacy of both thioether-polymers against biological and physiological conditions, as well as against freeze-drying compared to thiol analogues was determined.
Based on the excellent colloidal stabilisation efficacy and multi-functionalisability of thioether-PG, a plethora of functional groups, such as charged groups, hydrophilic/hydrophobic chains, as well as bio-active moieties namely diazirine and biotin was introduced to the AuNP surface. Moreover, the generic and covalent binding of diazirine-modified PG-SR with biomolecules including peptides and proteins was thoroughly demonstrated.
Lastly, diverse applicability and bioactivity of aforementioned modified particles in various studies was displayed, once more verifying the introduction of functionalities. On the one hand the electrostatic interaction of charged AuNPs with hydrogels based on hyaluronic acid was applied to tune the release kinetics of particles from three-dimensional scaffolds. On the other hand the strong complexation of siRNA onto two positively charged AuNPs was proven. The amount of siRNA payload was tuneable by varying the surface charge, ionic strength of the surrounding medium and the N/P ratio. Moreover, the biological activity and selectivity of the biotin-streptavidin conjugation was verified with respectively functionalised particles in controlled agglomeration test and in laser-triggered cell elimination experiments. In the latter, streptavidin-functionalised AuNPs resulted in excellent depletion of biotinylated cells whereas unfunctionalised control particles failed, excluding unspecific binding of these particles to the cell surface.
Human regulatory macrophages (Mreg) have shown early clinical promise as a cell-based adjunct immunosuppressive therapy in solid organ transplantation. It is hypothesised that recipient CD4(+) T cell responses are actively regulated through direct allorecognition of donor-derived Mregs. Here we show that human Mregs convert allogeneic CD4(+) T cells to IL-10-producing, TIGIT(+) FoxP3(+)-induced regulatory T cells that non-specifically suppress bystander T cells and inhibit dendritic cell maturation. Differentiation of Mreg-induced Tregs relies on multiple non-redundant mechanisms that are not exclusive to interaction of Mregs and T cells, including signals mediated by indoleamine 2,3-dioxygenase, TGF-beta, retinoic acid, Notch and progestagen-associated endometrial protein. Preoperative administration of donor-derived Mregs to living-donor kidney transplant recipients results in an acute increase in circulating TIGIT(+) Tregs. These results suggest a feed-forward mechanism by which Mreg treatment promotes allograft acceptance through rapid induction of direct-pathway Tregs.
I. Timing is a crucial feature in organisms that live within a variable and changing environment. Complex mechanisms to measure time are wide-spread and were shown to exist in many taxa. These mechanisms are expected to provide fitness benefits by enabling organisms to anticipate environmental changes and adapt accordingly. However, very few studies have addressed the adaptive value of proper timing. The objective of this PhD-project was to investigate mechanisms and fitness consequences of timing decisions concerning colony phenology and foraging activity in the honey bee (Apis mellifera), a social insect species with a high degree of social organization and one of the most important pollinators of wild plants and crops. In chapter II, a study is presented that aimed to identify the consequences of disrupted synchrony between colony phenology and the local environment by manipulating the timing of brood onset after hibernation. In a follow-up experiment, the importance of environmental factors for the timing of brood onset was investigated to assess the potential of climate change to disrupt synchronization of colony phenology (Chapter III). Chapter IV aimed to prove for the first time that honey bees can use interval time-place learning to improve foraging activity in a variable environment. Chapter V investigates the fitness benefits of information exchange between nest mates via waggle dance communication about a resource environment that is heterogeneous in space and time.
II. In the study presented in chapter II, the importance of the timing of brood onset after hibernation as critical point in honey bee colony phenology in temperate zones was investigated. Honey bee colonies were overwintered at two climatically different sites. By translocating colonies from each site to the other in late winter, timing of brood onset was manipulated and consequently colony phenology was desynchronized with the local environment. Delaying colony phenology in respect to the local environment decreased the capability of colonies to exploit the abundant spring bloom. Early brood onset, on the other hand, increased the loads of the brood parasite Varroa destructor later in the season with negative impact on colony worker population size. This indicates a timing related trade-off and illustrates the importance of investigating effects of climate change on complex multi-trophic systems. It can be concluded that timing of brood onset in honey bees is an important fitness relevant step for colony phenology that is highly sensitive to climatic conditions in late winter. Further, phenology shifts and mismatches driven by climate change can have severe fitness consequences.
III. In chapter III, I assess the importance of the environmental factors ambient temperature and photoperiod as well as elapsed time on the timing of brood onset. Twenty-four hibernating honey bee colonies were placed into environmental chambers and allocated to different combinations of two temperature regimes and three different light regimes. Brood onset was identified non-invasively by tracking comb temperature within the winter cluster. The experiment revealed that ambient temperature plays a major role in the timing of brood onset, but the response of honey bee colonies to temperature increases is modified by photoperiod. Further, the data indicate the involvement of an internal clock. I conclude that the timing of brood onset is complex but probably highly susceptible to climate change and especially spells of warm weather in winter.
IV. In chapter IV, it was examined if honey bees are capable of interval time-place learning and if this ability improves foraging efficiency in a dynamic resource environment. In a field experiment with artificial feeders, foragers were able to learn time intervals and use this ability to anticipate time periods during which feeders were active. Further, interval time-place learning enabled foragers to increase nectar uptake rates. It was concluded that interval time-place learning can help honey bee foragers to adapt to the complex and variable temporal patterns of floral resource environments.
V. The study presented in chapter V identified the importance of the honey bee waggle dance communication for the spatiotemporal coordination of honey bee foraging activity in resource environments that can vary from day to day. Consequences of disrupting the instructional component of honey bee dance communication were investigated in eight temperate zone landscapes with different levels of spatiotemporal complexity. While nectar uptake of colonies was not affected, waggle dance communication significantly benefitted pollen harvest irrespective of landscape complexity. I suggest that this is explained by the fact that honey bees prefer to forage pollen in semi-natural habitats, which provide diverse resource species but are sparse and presumably hard to find in intensively managed agricultural landscapes. I conclude that waggle dance communication helps to ensure a sufficient and diverse pollen diet which is crucial for honey bee colony health.
VI. In my PhD-project, I could show that honey bee colonies are able to adapt their activities to a seasonally and daily changing environment, which affects resource uptake, colony development, colony health and ultimately colony fitness. Ongoing global change, however, puts timing in honey bee colonies at risk. Climate change has the potential to cause mismatches with the local resource environment. Intensivation of agricultural management with decreased resource diversity and short resource peaks in spring followed by distinctive gaps increases the probability of mismatches. Even the highly efficient foraging system of honey bees might not ensure a sufficiently diverse and healthy diet in such an environment. The global introduction of the parasitic mite V. destructor and the increased exposure to pesticides in intensively managed landscapes further degrades honey bee colony health. This might lead to reduced cognitive capabilities in workers and impact the communication and social organization in colonies, thereby undermining the ability of honey bee colonies to adapt to their environment.
Solitary bees in seasonal environments have to align their life-cycles with favorable environmental conditions and resources. Therefore, a proper timing of their seasonal activity is highly fitness relevant. Most species in temperate environments use temperature as a trigger for the timing of their seasonal activity. Hence, global warming can disrupt mutualistic interactions between solitary bees and plants if increasing temperatures differently change the timing of interaction partners. The objective of this dissertation was to investigate the mechanisms of timing in spring-emerging solitary bees as well as the resulting fitness consequences if temporal mismatches with their host plants should occur. In my experiments, I focused on spring-emerging solitary bees of the genus Osmia and thereby mainly on O. cornuta and O. bicornis (in one study which is presented in Chapter IV, I additionally investigated a third species: O. brevicornis).
Chapter II presents a study in which I investigated different triggers solitary bees are using to time their emergence in spring. In a climate chamber experiment I investigated the relationship between overwintering temperature, body size, body weight and emergence date. In addition, I developed a simple mechanistic model that allowed me to unite my different observations in a consistent framework. In combination with the empirical data, the model strongly suggests that solitary bees follow a strategic approach and emerge at a date that is most profitable for their individual fitness expectations. I have shown that this date is on the one hand temperature dependent as warmer overwintering temperatures increase the weight loss of bees during hibernation, which then advances their optimal emergence date to an earlier time point (due to an earlier benefit from the emergence event). On the other hand I have also shown that the optimal emergence date depends on the individual body size (or body weight) as bees adjust their emergence date accordingly. My data show that it is not enough to solely investigate temperature effects on the timing of bee emergence, but that we should also consider individual body conditions of solitary bees to understand the timing of bee emergence.
In Chapter III, I present a study in which I investigated how exactly temperature determines the emergence date of solitary bees. Therefore, I tested several variants degree-day models to relate temperature time series to emergence data. The basic functioning of such degree-day models is that bees are said to finally emerge when a critical amount of degree-days is accumulated. I showed that bees accumulate degree-days only above a critical temperature value (~4°C in O. cornuta and ~7°C in O. bicornis) and only after the exceedance of a critical calendar date (~10th of March in O. cornuta and ~28th of March in O. bicornis). Such a critical calendar date, before which degree-days are not accumulated irrespective of the actual temperature, is in general less commonly used and, so far, it has only been included twice in a phenology model predicting bee emergence. Furthermore, I used this model to retrospectively predict the emergence dates of bees by applying the model to long-term temperature data which have been recorded by the regional climate station in Würzburg. By doing so, the model estimated that over the last 63 years, bees emerged approximately 4 days earlier.
In Chapter IV, I present a study in which I investigated how temporal mismatches in bee-plant interactions affect the fitness of solitary bees. Therefore, I performed an experiment with large flight cages serving as mesocosms. Inside these mesocosms, I manipulated the supply of blossoms to synchronize or desynchronize bee-plant interactions. In sum, I showed that even short temporal mismatches of three and six days in bee-plant interactions (with solitary bee emergence before flower occurrence) can cause severe fitness losses in solitary bees. Nonetheless, I detected different strategies by solitary bees to counteract impacts on their fitness after temporal mismatches. However, since these strategies may result in secondary fitness costs by a changed sex ratio or increased parasitism, I concluded that compensation strategies do not fully mitigate fitness losses of bees after short temporal mismatches with their food plants. In the event of further climate warming, fitness losses after temporal mismatches may not only exacerbate bee declines but may also reduce pollination services for later-flowering species and affect populations of animal-pollinated plants.
In conclusion, I showed that spring-emerging solitary bees are susceptible to climate change as in response to warmer temperatures bees advance their phenology and show a decreased fitness state. As spring-emerging solitary bees not only consider overwintering temperature but also their individual body condition for adjusting emergence dates, this may explain differing responses to climate warming within and among bee populations which may also have consequences for bee-plant interactions and the persistence of bee populations under further climate warming. If in response to climate warming plants do not shift their phenologies according to the bees, bees may experience temporal mismatches with their host plants. As bees failed to show a single compensation strategy that was entirely successful in mitigating fitness consequences after temporal mismatches with their food plants, the resulting fitness consequences for spring-emerging solitary bees would be severe. Furthermore, I showed that spring-emerging solitary bees use a critical calendar date before which they generally do not commence the summation of degree-days irrespective of the actual temperature. I therefore suggest that further studies should also include the parameter of a critical calendar date into degree-day model predictions to increase the accuracy of model predictions for emergence dates in solitary bees. Although our retrospective prediction about the advance in bee emergence corresponds to the results of several studies on phenological trends of different plant species, we suggest that more research has to be done to assess the impacts of climate warming on the synchronization in bee-plant interactions more accurately.
Background
Juvenile idiopathic arthritis (JIA) is often accompanied by pathomorphological changes to the temporomandibular joint (TMJ). By analyzing orthodontical orthopantomograms of JIA patients the aims of the study were a) classification of condyle changes, b) quantification of bony asymmetries of condylar destruction and c) detection of relationships between disease duration and TMJ-involvement.
Patients/Methods
46 caucasian JIA-patients (28 female; 18 male; < 16.0 years) were enrolled, each joint (n = 92) was morphologically assessed by means of orthopantomogram, quantitatively analysed and compared with duration of general disease. Condyle morphology was assessed using the Billiau scale for severity of destruction [1]. The quantitative analysis was based on ratios of condyle, ramus and mandible height.
Results
Patients were divided into groups (Group I – slightly affected, n = 36; Billiau severity 0–2; condyle findings: X-ray normal, condyle erosions, condylar flattening; Group II – severely affected, N = 10; Billiau severity 3–4; condyle findings: condylar flattenings and erosions, unilateral/bilateral complete loss of condyles), based on morphological analysis of condylar destruction. Duration of disease was significantly longer in Group II (8.9 ± 5.2 years) than in Group I (4.6 ± 4.7 years). Asymmetries of condyle, ramus and mandible height, quantitatively analysed by contralateral comparison, were significantly more marked in patients of Group II than of Group I.
Conclusions
Orthopantomogram imaging can be used in orthodontics clinical routine to detect TMJ-pathologies and is an important reference for monitoring progression of JIA. Classification into severe and slightly affected TMJ is possible by analysis of condylar pathomorphology. An association between degree of destruction, extent of lower jaw asymmetry and disease duration is suggested by the results.
TNF is not only a major effector molecule of PAMP/DAMP-activated macrophages, but also regulates macrophage function and viability. We recently demonstrated that TNFR2 triggers necroptosis in macrophages with compromised caspase activity by two cooperating mechanisms: induction of endogenous TNF with subsequent stimulation of TNFR1 and depletion of cytosolic TRAF2-cIAP complexes. Here we show that TNFR2 activation in caspase-inhibited macrophages results in the production of endogenous TNF and TNFR1 stimulation followed by upregulation of A20, TRAF1, IL-6, and IL-1β. Surprisingly, TNFR1-mediated induction of IL-6 and IL-1β was clearly evident in response to TNFR2 stimulation but occurred not or only weakly in macrophages selectively and directly stimulated via TNFR1. Moreover, TNFR2-induced TNFR1-mediated gene induction was largely inhibited by necrostatin-1, whereas upregulation of A20 and TRAF1 by direct and exclusive stimulation of TNFR1 remained unaffected by this compound. Thus, treatment with TNFR2/ZVAD enables TNFR1 in macrophages to stimulate gene induction via a pathway requiring RIPK1 kinase activity. TNFR2/ZVAD-induced production of IL-6 and IL-1β was largely blocked in necroptosis-resistant MLKL- and RIPK3-deficient macrophages, whereas induction of A20 and TRAF1 remained unaffected. In sum, our results show that in caspase-inhibited macrophages TNFR2 not only triggers TNF/TNFR1-mediated necroptosis but also TNF/TNFR1-mediated RIPK3/MLKL-dependent and -independent gene induction.
Dendritic cells (DCs) are key directors of tolerogenic and immunogenic immune responses. During the steady state, DCs maintain T cell tolerance to self-antigens by multiple mechanisms including inducing anergy, deletion, and Treg activity. All of these mechanisms help to prevent autoimmune diseases or other hyperreactivities. Different DC subsets contribute to pathogen recognition by expression of different subsets of pattern recognition receptors, including Toll-like receptors or C-type lectins. In addition to the triggering of immune responses in infected hosts, most pathogens have evolved mechanisms for evasion of targeted responses. One such strategy is characterized by adopting the host's T cell tolerance mechanisms. Understanding these tolerogenic mechanisms is of utmost importance for therapeutic approaches to treat immune pathologies, tumors and infections. Transcriptional profiling has developed into a potent tool for DC subset identification. Here, we review and compile pathogen-induced tolerogenic transcriptional signatures from mRNA profiling data of currently available bacterial- or helminth-induced transcriptional signatures. We compare them with signatures of tolerogenic steady-state DC subtypes to identify common and divergent strategies of pathogen induced immune evasion. Candidate molecules are discussed in detail. Our analysis provides further insights into tolerogenic DC signatures and their exploitation by different pathogens.
Topolectrical Circuits
(2018)
Invented by Alessandro Volta and Félix Savary in the early 19th century, circuits consisting of resistor, inductor and capacitor (RLC) components are omnipresent in modern technology. The behavior of an RLC circuit is governed by its circuit Laplacian, which is analogous to the Hamiltonian describing the energetics of a physical system. Here we show that topological insulating and semimetallic states can be realized in a periodic RLC circuit. Topological boundary resonances (TBRs) appear in the impedance read-out of a topolectrical circuit, providing a robust signal for the presence of topological admittance bands. For experimental illustration, we build the Su-Schrieffer–Heeger circuit, where our impedance measurement detects the TBR midgap state. Topolectrical circuits establish a bridge between electrical engineering and topological states of matter, where the accessibility, scalability, and operability of electronics synergizes with the intricate boundary properties of topological phases.
The refugee crisis has developed as one of the major challenges for EU governance in recent years. From 2013 onwards, the crisis determined the political agenda and public discourse within European politics. During that time, the numbers of asylum seekers reaching Europe increased dramatically, with more than one million people applying for asylum at the crisis peak in 2015. This paper deals with the efforts taken by the EU and its member states to mitigate and overcome the refugee crisis. How exactly has the EU reacted to the refugee crisis and how and to what extend have the EU and its governance changed throughout the crisis? These research questions are approached through a reconstructive analysis of the whole period of crisis. This approach provides for a comprehensive examination of the refugee crisis that includes all issues, measures and processes of the EU’s policy reaction at the same time.
It will be argued that due to severe shortcomings of the Dublin regulation and the Common European Asylum System, a crisis in the EU’s refugee policy was already predestined. This was the case from 2013 onwards. The EU approached the crisis in three stages – neglect and non-solidarity leading to unilateral approaches by affected states, supranational short-term emergency measures during the peak of crisis and enhanced cooperation with third countries, especially with Turkey, the Western Balkans states and African states – until the crisis lost traction in 2017. Yet, the asylum system’s shortcomings are still not eliminated as the lasting measures of the EU’s crisis management between 2013 and 2018 mainly focused on border security and externalisation. EU governance changed towards more intergovernmental, informal and regional action. Further, the crisis led to serious rows between member states, leading to the fragmentation of the EU into two blocs. With decreasing numbers of asylum seeker in the last few years, what remains is an incomplete asylum system and a political crisis among member states.
Meiotic chromosome movement is important for the pairwise alignment of homologous chromosomes, which is required for correct chromosome segregation. Movement is driven by cytoplasmic forces, transmitted to chromosome ends by nuclear membrane-spanning proteins. In animal cells, lamins form a prominent scaffold at the nuclear periphery, yet the role lamins play in meiotic chromosome movement is unclear. We show that chromosome movement correlates with reduced lamin association with the nuclear rim, which requires lamin phosphorylation at sites analogous to those that open lamina network crosslinks in mitosis. Failure to remodel the lamina results in delayed meiotic entry, altered chromatin organization, unpaired or interlocked chromosomes, and slowed chromosome movement. The remodeling kinases are delivered to lamins via chromosome ends coupled to the nuclear envelope, potentially enabling crosstalk between the lamina and chromosomal events. Thus, opening the lamina network plays a role in modulating contacts between chromosomes and the nuclear periphery during meiosis.
Organoboron compounds, such as benzyl-, allyl-, allenyl-, vinyl-, and 2-boryl allyl-boronates, have been synthesized via metal-catalyzed borylations of sp3 C-O and C-H bonds. Thus, Cu-catalyzed borylations of alcohols and their derivatives provide benzyl-, allyl-, allenyl-, vinyl-, and 2-boryl allyl-boronates via nucleophilic substitution. The employment of Ti(OiPr)4 turns the OH moiety into a good leaving group (‘OTi’). The products of Pd-catalyzed oxidative borylations of allylic C-H bonds of alkenes were isolated and purified, and their application in the one-pot synthesis of stereodefined homoallyl alcohols was also investigated. Chapter 2 presents a copper-catalyzed synthesis of benzyl-, allyl-, and allenyl-boronates from benzylic, allylic, and propargylic alcohols, respectively, employing a commercially available catalyst precursor, [Cu(CH3CN)4]2+[BF4-]2, and Xantphos as the ligand. The borylation of benzylic alcohols was carried out at 100 oC with 5-10 mol % [Cu(CH3CN)4]2+[BF4-]2, which afforded benzylic boronates in 32%-95% yields. With 10 mol % [Cu(CH3CN)4]2+[BF4-]2, allylic boronates were provided in 53%-89% yields from the borylation of allylic alcohols at 60 or 100 oC. Secondary allylboronates were prepared in 72%-84% yields from the borylation of primary allylic alcohols, which also suggests that a nucleophilic substitution pathway is involved in this reaction. Allenylboronates were also synthesized in 72%-89% yields from the borylation of propargylic alcohols at 40 or 60 oC. This methodology can be extended to borylation of benzylic and allylic acetates. This protocol exhibits broad reaction scope (40 examples) and high efficiency (up to 95% yield) under mild conditions, including the preparation of secondary allylic boronates. Preliminary mechanistic studies suggest that nucleophilic substitution is involved in this reaction. Chapter 3 reports an efficient methodology for the synthesis of vinyl-, allyl-, and (E)-2-boryl allylboronates from propargylic alcohols via copper-catalyzed borylation reactions under mild conditions. In the presence of a commercially available catalyst precursor (Cu(OAc)2 or Cu(acac)2) and ligand (Xantphos), the reaction affords the desired products in up to 92% yield with a broad substrate scope (43 examples). Vinylboronates were synthesized in 50%-83% yields via Cu-catalyzed hydroboration of mono-substituted propargylic alcohols. With 1,1-disubstituted propargylic alcohols as the starting materials and Cu(OAc)2 as the catalyst precursor, a variety of allylboronates were synthesized in 44%-83% yields. The (E)-2-boryl allylboronates were synthesized in 54%-92% yields via the Cu-catalyzed diboration of propargylic alcohols. The stereoselectivity is different from the Pd(dba)2-catalyzed diboration of allenes that provided (Z)-2-boryl allylboronates predominantly. The isolation of an allenyl boronate as the reaction intermediate suggests that an SN2’-type reaction, followed by borylcupration, is involved in the mechanism of the diboration of propargylic alcohols. In chapter 4, a Pd-catalyzed allylic C-H borylation of alkenes is reported. The transformation exhibits high regioselectivity with a variety of linear alkenes, employing a Pd-pincer complex as the catalyst precursor, and the allylic boronate products were isolated and purified. This protocol can also be extended to one-pot carbonyl allylation reactions to provide homoallyl alcohols efficiently. An interesting mechanistic feature is that the reaction proceeds via a Pd(II)/Pd(IV) catalytic cycle. Formation of the Pd(IV) intermediate occurs by a unique combination of an NCNpincer complex and application of F-TEDA-BF4 as the oxidant. An important novelty of the present C-H borylation reaction is that all allyl-Bpin products can be isolated with usually high yields. This is probably a consequence of the application of the NCN-pincer complex as catalyst, which selectively catalyzes C-B bond formation avoiding subsequent C-B bond cleavage based side-reactions
The precise interplay between the mRNA codon and the tRNA anticodon is crucial for ensuring efficient and accurate translation by the ribosome. The insertion of RNA nucleobase derivatives in the mRNA allowed us to modulate the stability of the codon-anticodon interaction in the decoding site of bacterial and eukaryotic ribosomes, allowing an in-depth analysis of codon recognition. We found the hydrogen bond between the N1 of purines and the N3 of pyrimidines to be sufficient for decoding of the first two codon nucleotides, whereas adequate stacking between the RNA bases is critical at the wobble position. Inosine, found in eukaryotic mRNAs, is an important example of destabilization of the codon-anticodon interaction. Whereas single inosines are efficiently translated, multiple inosines, e.g., in the serotonin receptor 5-HT2C mRNA, inhibit translation. Thus, our results indicate that despite the robustness of the decoding process, its tolerance toward the weakening of codon-anticodon interactions is limited.
One of the most significant technological advances in history was driven by the utilization of a new material class: semiconductors.
Its most important application being the transistor, which is indispensable in our everyday life. The technological advance in the semiconductor industry, however, is about to slow down. Making transistors ever smaller to increase the performance and trying to reduce and deal with the dissipative heat will soon reach the limits dictated by quantum mechanics with Moore himself, predicting the death of his famous law in the next decade.
A possible successor for semiconductor transistors is the recently discovered material class of topological insulators. A material which in its bulk is insulating but has topological protected metallic surface states or edge states at its boundary. Their electrical transport characteristics include forbidden backscattering and spin-momentum-locking with the spin of the electron being perpendicular to its momentum. Topological insulators therefore offer an opportunity for high performance devices with low dissipation, and applications in spintronic where data is stored and processed at the same point.
The topological insulator Bi\(_2\)Se\(_3\) and related compounds offer relatively high energy band gaps and a rather simple band structure with a single dirac cone at the gamma point of the Brillouin zone. These characteritics make them ideal candidates to study the topological surface state in electrical transport experiments and explore its physics.
Conjugative transposition drives the emergence of multidrug resistance in diverse bacterial pathogens, yet the mechanisms are poorly characterized. The Tn1549 conjugative transposon propagates resistance to the antibiotic vancomycin used for severe drug-resistant infections. Here, we present four high-resolution structures of the conserved Y-transposase of Tn1549 complexed with circular transposon DNA intermediates. The structures reveal individual transposition steps and explain how specific DNA distortion and cleavage mechanisms enable DNA strand exchange with an absolute minimum homology requirement. This appears to uniquely allow Tn916-like conjugative transposons to bypass DNA homology and insert into diverse genomic sites, expanding gene transfer. We further uncover a structural regulatory mechanism that prevents premature cleavage of the transposon DNA before a suitable target DNA is found and generate a peptide antagonist that interferes with the transposase-DNA structure to block transposition. Our results reveal mechanistic principles of conjugative transposition that could help control the spread of antibiotic resistance genes.
Galectin-1 (Gal-1) has been described to promote tumour growth by inducing angiogenesis and to contribute to the tumour immune escape. We had previously identified up-regulation of Gal-1 in preclinical models of aggressive neuroblastoma (NB), the most common extracranial tumour of childhood. While Gal-1 did not confer a survival advantage in the absence of exogenous stressors, Gal-1 contributed to enhanced cell migratory and invasive properties. Here, we review these findings and extend them by analyzing Gal-1 mediated effects on immune cell regulation and radiation resistance. In line with previous results, cell autonomous effects as well as paracrine functions contribute to Gal-1 mediated pro-tumourigenic functions. Interfering with Gal-1 functions in vivo will add to a better understanding of the role of the Gal-1 axis in the complex tumour-host interaction during immune-, chemo- and radiotherapy of neuroblastoma.
Controllable metal–insulator transitions (MIT), Rashba–Dresselhaus (RD) spin splitting, and Weyl semimetals are promising schemes for realizing processing devices. Complex oxides are a desirable materials platform for such devices, as they host delicate and tunable charge, spin, orbital, and lattice degrees of freedoms. Here, using first-principles calculations and symmetry analysis, we identify an electric-field tunable MIT, RD effect, and Weyl semimetal in a known, charge-ordered, and polar relativistic oxide Ag2BiO3 at room temperature. Remarkably, a centrosymmetric BiO6 octahedral-breathing distortion induces a sizable spontaneous ferroelectric polarization through Bi3+/Bi5+ charge disproportionation, which stabilizes simultaneously the insulating phase. The continuous attenuation of the Bi3+/Bi5+ disproportionation obtained by applying an external electric field reduces the band gap and RD spin splitting and drives the phase transition from a ferroelectric RD insulator to a paraelectric Dirac semimetal, through a topological Weyl semimetal intermediate state. These findings suggest that Ag2BiO3 is a promising material for spin-orbitonic applications.
Two-component cyclase opsins of green algae are ATP-dependent and light-inhibited guanylyl cyclases
(2018)
Background:
The green algae Chlamydomonas reinhardtii and Volvox carteri are important models for studying light perception and response, expressing many different photoreceptors. More than 10 opsins were reported in C. reinhardtii, yet only two—the channelrhodopsins—were functionally characterized. Characterization of new opsins would help to understand the green algae photobiology and to develop new tools for optogenetics.
Results:
Here we report the characterization of a novel opsin family from these green algae: light-inhibited guanylyl cyclases regulated through a two-component-like phosphoryl transfer, called “two-component cyclase opsins” (2c-Cyclops). We prove the existence of such opsins in C. reinhardtii and V. carteri and show that they have cytosolic N- and C-termini, implying an eight-transmembrane helix structure. We also demonstrate that cGMP production is both light-inhibited and ATP-dependent. The cyclase activity of Cr2c-Cyclop1 is kept functional by the ongoing phosphorylation and phosphoryl transfer from the histidine kinase to the response regulator in the dark, proven by mutagenesis. Absorption of a photon inhibits the cyclase activity, most likely by inhibiting the phosphoryl transfer. Overexpression of Vc2c-Cyclop1 protein in V. carteri leads to significantly increased cGMP levels, demonstrating guanylyl cyclase activity of Vc2c-Cyclop1 in vivo. Live cell imaging of YFP-tagged Vc2c-Cyclop1 in V. carteri revealed a development-dependent, layer-like structure at the immediate periphery of the nucleus and intense spots in the cell periphery.
Conclusions:
Cr2c-Cyclop1 and Vc2c-Cyclop1 are light-inhibited and ATP-dependent guanylyl cyclases with an unusual eight-transmembrane helix structure of the type I opsin domain which we propose to classify as type Ib, in contrast to the 7 TM type Ia opsins. Overexpression of Vc2c-Cyclop1 protein in V. carteri led to a significant increase of cGMP, demonstrating enzyme functionality in the organism of origin. Fluorescent live cell imaging revealed that Vc2c-Cyclop1 is located in the periphery of the nucleus and in confined areas at the cell periphery.
The optical properties of transition metal dichalcogenide monolayers are widely dominated by excitons, Coulomb-bound electron–hole pairs. These quasi-particles exhibit giant oscillator strength and give rise to narrow-band, well-pronounced optical transitions, which can be brought into resonance with electromagnetic fields in microcavities and plasmonic nanostructures. Due to the atomic thinness and robustness of the monolayers, their integration in van der Waals heterostructures provides unique opportunities for engineering strong light-matter coupling. We review first results in this emerging field and outline future opportunities and challenges.
Web spiders synthesize silk fibers of unique strength and extensibility through the controlled self-assembly of protein building blocks, so-called spidroins. The spidroin C-terminal domain is highly conserved and connects two polypeptide chains through formation of an all-helical, intertwined dimer. Here we use contact-induced fluorescence self-quenching and resonance energy transfer in combination with far-UV circular dichroism spectroscopy as three orthogonal structural probes to dissect the mechanism of folding and dimerization of a spidroin C-terminal domain from the major ampullate gland of the nursery web spider Euprosthenops australis. We show that helices forming the dimer core assemble very rapidly and fold on association. Subsequently, peripheral helices fold and dock slowly onto the preformed core. Lability of outer helices facilitates formation of a highly expanded, partially folded dimer. The high end-to-end distance of chain termini in the partially folded dimer suggests an extensibility module that contributes to elasticity of spider silk.
In sterile neuroinflammation, a pathological role is proposed for microglia, whereas in viral encephalitis, their function is not entirely clear. Many viruses exploit the odorant system and enter the CNS via the olfactory bulb (OB). Upon intranasal vesicular stomatitis virus instillation, we show an accumulation of activated microglia and monocytes in the OB. Depletion of microglia during encephalitis results in enhanced virus spread and increased lethality. Activation, proliferation, and accumulation of microglia are regulated by type I IFN receptor signaling of neurons and astrocytes, but not of microglia. Morphological analysis of myeloid cells shows that type I IFN receptor signaling of neurons has a stronger impact on the activation of myeloid cells than of astrocytes. Thus, in the infected CNS, the cross talk among neurons, astrocytes, and microglia is critical for full microglia activation and protection from lethal encephalitis.
This paper proposes a 3-D local pose estimation system for a small Unmanned Aerial Vehicle (UAV) with a weight limit of 200 g and a very small footprint of 10 cm×10cm. The system is realized by fusing 3-D position estimations from an Ultra-Wide Band (UWB) transceiver network with Inertial Measurement Unit (IMU) sensor data and data from a barometric pressure sensor. The 3-D position from the UWB network is estimated using Multi-Dimensional Scaling (MDS) and range measurements between the transceivers. The range measurements are obtained using Double-Sided Two-Way Ranging (DS-TWR), thus eliminating the need for an additional clock synchronization mechanism. The sensor fusion is accomplished using a loosely coupled Extended Kalman Filter (EKF) architecture. Extensive evaluation of the proposed system shows that a position accuracy with a Root-Mean-Square Error (RMSE) of 0.20cm can be obtained. The orientation angle can be estimated with an RMSE of 1.93°.
We have investigated the photodynamics of \(\beta\)-D-glucose employing our field-induced surface hopping method (FISH), which allows us to simulate the coupled electron-nuclear dynamics, including explicitly nonadiabatic effects and light-induced excitation. Our results reveal that from the initially populated S\(_{1}\) and S\(_{2}\) states, glucose returns nonradiatively to the ground state within about 200 fs. This takes place mainly via conical intersections (CIs) whose geometries
in most cases involve the elongation of a single O-H bond, while in some instances ring-opening due to dissociation of a C-O bond is observed. Experimentally, excitation to a distinct excited electronic state is improbable due to the presence of a dense manifold of states bearing similar oscillator strengths. Our FISH simulations explicitly including a UV laser pulse of 6.43 eV photon energy reveals that after initial excitation the population is almost equally spread over several close-lying electronic states. This is followed by a fast nonradiative decay on the time scale of 100-200 fs, with the final return to the ground state proceeding via the S\(_{1}\) state through the same types of CIs as observed in the field-free simulations.
Forest ecosystems fulfill a whole host of ecosystem functions that are essential for life on our planet. However, an unprecedented level of anthropogenic influences is reducing the resilience and stability of our forest ecosystems as well as their ecosystem functions. The relationships between drivers, stress, and ecosystem functions in forest ecosystems are complex, multi-faceted, and often non-linear, and yet forest managers, decision makers, and politicians need to be able to make rapid decisions that are data-driven and based on short and long-term monitoring information, complex modeling, and analysis approaches. A huge number of long-standing and standardized forest health inventory approaches already exist, and are increasingly integrating remote-sensing based monitoring approaches. Unfortunately, these approaches in monitoring, data storage, analysis, prognosis, and assessment still do not satisfy the future requirements of information and digital knowledge processing of the 21st century. Therefore, this paper discusses and presents in detail five sets of requirements, including their relevance, necessity, and the possible solutions that would be necessary for establishing a feasible multi-source forest health monitoring network for the 21st century. Namely, these requirements are: (1) understanding the effects of multiple stressors on forest health; (2) using remote sensing (RS) approaches to monitor forest health; (3) coupling different monitoring approaches; (4) using data science as a bridge between complex and multidimensional big forest health (FH) data; and (5) a future multi-source forest health monitoring network. It became apparent that no existing monitoring approach, technique, model, or platform is sufficient on its own to monitor, model, forecast, or assess forest health and its resilience. In order to advance the development of a multi-source forest health monitoring network, we argue that in order to gain a better understanding of forest health in our complex world, it would be conducive to implement the concepts of data science with the components: (i) digitalization; (ii) standardization with metadata management after the FAIR (Findability, Accessibility, Interoperability, and Reusability) principles; (iii) Semantic Web; (iv) proof, trust, and uncertainties; (v) tools for data science analysis; and (vi) easy tools for scientists, data managers, and stakeholders for decision-making support.
Understanding human navigation behavior has implications for a wide range of application scenarios. For example, insights into geo-spatial navigation in urban areas can impact city planning or public transport. Similarly, knowledge about navigation on the web can help to improve web site structures or service experience.
In this work, we focus on a hypothesis-driven approach to address the task of understanding human navigation: We aim to formulate and compare ideas — for example stemming from existing theory, literature, intuition, or previous experiments — based on a given set of navigational observations. For example, we may compare whether tourists exploring a city walk “short distances” before taking their next photo vs. they tend to "travel long distances between points of interest", or whether users browsing Wikipedia "navigate semantically" vs. "click randomly".
For this, the Bayesian method HypTrails has recently been proposed. However, while HypTrails is a straightforward and flexible approach, several major challenges remain:
i) HypTrails does not account for heterogeneity (e.g., incorporating differently behaving user groups such as tourists and locals is not possible), ii) HypTrails does not support the user in conceiving novel hypotheses when confronted with a large set of possibly relevant background information or influence factors, e.g., points of interest, popularity of locations, time of the day, or user properties, and finally iii) formulating hypotheses can be technically challenging depending on the application scenario (e.g., due to continuous observations or temporal constraints). In this thesis, we address these limitations by introducing various novel methods and tools and explore a wide range of case studies.
In particular, our main contributions are the methods MixedTrails and SubTrails which specifically address the first two limitations: MixedTrails is an approach for hypothesis comparison that extends the previously proposed HypTrails method to allow formulating and comparing heterogeneous hypotheses (e.g., incorporating differently behaving user groups). SubTrails is a method that supports hypothesis conception by automatically discovering interpretable subgroups with exceptional navigation behavior. In addition, our methodological contributions also include several tools consisting of a distributed implementation of HypTrails, a web application for visualizing geo-spatial human navigation in the context of background information, as well as a system for collecting, analyzing, and visualizing mobile participatory sensing data.
Furthermore, we conduct case studies in many application domains, which encompass — among others — geo-spatial navigation based on photos from the photo-sharing platform Flickr, browsing behavior on the social tagging system BibSonomy, and task choosing behavior on a commercial crowdsourcing platform. In the process, we develop approaches to cope with application specific subtleties (like continuous observations and temporal constraints). The corresponding studies illustrate the variety of domains and facets in which navigation behavior can be studied and, thus, showcase the expressiveness, applicability, and flexibility of our methods. Using these methods, we present new aspects of navigational phenomena which ultimately help to better understand the multi-faceted characteristics of human navigation behavior.
Background: Acute myeloid leukemia (AML) is both more common and with more biologically aggressive phenotype in the elderly. Allogenic stem cell transplantation (allo-SCT) is the best treatment option in fit patients. Either HLA-matched unrelated donor (MUD) or haploidentical (Haplo) donor are possible alternative for patients in need. Methods: We retrospectively compared non-T-cell-depleted Haplo (n = 250) to 10/10 MUD (n = 2589) in AML patients >= 60 years. Results: Median follow-up was 23 months. Disease status at transplant differs significantly between the two groups (p < 10(-4)). Reduced intensity conditioning (RIC) was administrated to 73 and 77% of Haplo and MUD, respectively (p = 0.23). Stem cell source was the bone marrow (BM) in 52% of the Haplo and 6% of MUD (p < 10(-4)). Anti-thymocyte globulin (ATG) was most frequently used in MUD (p < 10(-4)) while post-Tx cyclophosphamide (PT-Cy) was given in 62% of Haplo. Engraftment was achieved in 90% of the Haplo vs 97% of MUD (p < 10(-4)). In multivariate analysis, no significant difference was found between Haplo and MUD for acute (a) graft versus host disease (GVHD) grade II-IV, relapse incidence (RI), non-relapse mortality (NRM), leukemia free survival (LFS), graft-versus-host-free-relapse free survival (GRFS), and overall survival (OS). Extensive chronic (c) GVHD was significantly higher for MUD as compared to Haplo (HR 2, p = 0.01, 95% CI 1.17-3.47). A propensity score analysis confirmed the higher risk of extensive cGVHD for MUD without differences for other outcomes. Conclusions: Allo-SCT from both Haplo and MUD are valid option for AML patients >= 60 years of age with similar results. Transplantation from MUD was associated with higher extensive cGVHD. Our findings suggest that Haplo is a suitable and attractive graft source for patients >= 60 with AML in need of allo-SCT.
Unraveling the connection between fibroblast growth factor and bone morphogenetic protein signaling
(2018)
Ontogeny of higher organisms as well the regulation of tissue homeostasis in adult individuals requires a fine-balanced interplay of regulating factors that individually trigger the fate of particular cells to either stay undifferentiated or to differentiate towards distinct tissue specific lineages. In some cases, these factors act synergistically to promote certain cellular responses, whereas in other tissues the same factors antagonize each other. However, the molecular basis of this obvious dual signaling activity is still only poorly understood. Bone morphogenetic proteins (BMPs) and fibroblast growth factors (FGFs) are two major signal protein families that have a lot in common: They are both highly preserved between different species, involved in essential cellular functions, and their ligands vastly outnumber their receptors, making extensive signal regulation necessary. In this review we discuss where and how BMP and FGF signaling cross paths. The compiled data reflect that both factors synchronously act in many tissues, and that antagonism and synergism both exist in a context-dependent manner. Therefore, by challenging a generalization of the connection between these two pathways a new chapter in BMP FGF signaling research will be introduced.
Cyclic diboranes(4) based on a chelating monoanionic, benzylphosphine linker were prepared by boron-silicon exchange between arylsilanes and B\(_2\)Br\(_4\). Coordination of Lewis bases to the remaining sp\(^2\) boron atom yielded unsymmetrical sp\(^3\)-sp\(^3\) diboranes, which were reduced with KC\(_8\) to their corresponding trans-diborenes. These compounds were studied by a combination of spectroscopic methods, X-ray diffraction and DFT calculations. PMe\(_3\)-stabilized diborene 6 was found to undergo thermal rearrangement to gem- diborene 8. DFT calculations on 8 reveal a polar boron-boron bond, and indicate that the compound is best described as a borylborylene.
Urban areas are population, culture and infrastructure concentration points. Electricity blackouts or interruptions of water supply severely affect people when happening unexpected and at large scale. Interruptions of such infrastructure supply services alone have the potential to trigger crises. But when happening in concert with or as a secondary effect of an earthquake, for example, the crisis situation is often aggravated. This is the case for any country, but it has been observed that even highly industrialised
countries face severe risks when their degree of acquired dependency on services of what is termed Critical Infrastructure results in even bigger losses when occurring unexpectedly in a setting that usually has high reliability of services.
This study examined the validity of students’ evaluations of teaching as an instrument for measuring teaching quality by examining the effects of likability and prior subject interest as potential biasing effects, measured at the beginning of the course and at the time of evaluation. University students (N = 260) evaluated psychology courses in one semester at a German university with a standardized questionnaire, yielding 517 data points. Cross-classified multilevel analyses revealed fixed effects of likability at both times of measurement and fixed effects of prior subject interest measured at the beginning of the course. Likability seems to exert a substantial bias on student evaluations of teaching, albeit one that is overestimated when measured at the time of evaluation. In contrast, prior subject interest seems to introduce a weak bias. Considering that likability bears no conceptual relationship to teaching quality, these findings point to a compromised validity of students’ evaluations of teaching.
West Africa is one of the fastest growing regions in the world with annual population growth rates of more than three percent for several countries. Since the 1950s, West Africa experienced a fivefold increase of inhabitants, from 71 to 353 million people in 2015 and it is expected that the region’s population will continue to grow to almost 800 million people by the year 2050. This strong trend has and will have serious consequences for food security since agricultural productivity is still on a comparatively low level in most countries of West Africa. In order to compensate for this low productivity, an expansion of agricultural areas is rapidly progressing. The mapping and monitoring of agricultural areas in West Africa is a difficult task even on the basis of remote sensing. The small scale extensive farming practices with a low level of agricultural inputs and mechanization make the delineation of cultivated land from other land cover and land use (LULC) types highly challenging. In addition, the frequent cloud coverage in the region considerably decreases the availability of earth observation datasets. For the accurate mapping of agricultural area in West Africa, high temporal as well as spatial resolution is necessary to delineate the small-sized fields and to obtain data from periods where different LULC types are distinguishable. However, such consistent time series are currently not available for West Africa. Thus, a spatio-temporal data fusion framework was developed in this thesis for the generation of high spatial and temporal resolution time series.
Data fusion algorithms such as the Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM) enjoyed increasing popularity during recent years but they have hardly been used for the application on larger scales. In order to make it applicable for this purpose and to increase the input data availability, especially in cloud-prone areas such as West Africa, the ESTARFM framework was developed in this thesis introducing several enhancements. An automatic filling of cloud gaps was included in the framework in order to use even partly cloud-covered Landsat images for the fusion without producing gaps on the output images. In addition, the ESTARFM algorithm was improved to automatically account for regional differences in the heterogeneity of the study region. Further improvements comprise the automation of the time series generation as well as the significant acceleration of the processing speed through parallelization. The performance of the developed ESTARFM framework was tested by fusing an 8-day NDVI time series from Landsat and MODIS data for a focus area of 98,000 km² in the border region between Burkina Faso and Ghana. The results of this test show the capability of the ESTARFM framework to accurately produce high temporal resolution time series while maintaining the spatial detail, even in such a heterogeneous and cloud-prone region.
The successfully tested framework was subsequently applied to generate consistent time series as the basis for the mapping of agricultural area in Burkina Faso for the years 2001, 2007, and 2014. In a first step, high temporal (8-day) and high spatial (30 m) resolution NDVI time series for the entire country and the three years were derived with the ESTARFM framework. More than 500 Landsat scenes and 3000 MODIS scenes were automatically processed for this purpose. From the fused ESTARFM NDVI time series, phenological metrics were extracted and together with the single time steps of NDVI served as input for the delineation of rainfed agricultural areas, irrigated agricultural areas and plantations. The classification was conducted with the random forest algorithm at a 30 m spatial resolution for entire Burkina Faso and the three years 2001, 2007, and 2014. For the training and validation of the classifier, a randomly sampled reference dataset was generated from Google Earth images based on expert knowledge of the region. The overall classification accuracies of 92% (2001), 91% (2007), and 91% (2014) indicate the well-functioning of the developed methodology. The resulting maps show an expansion of agricultural area of 91% from about 61,000 km² in 2001 to 116,900 km² in 2014. While rainfed agricultural areas account for the major part of this increase, irrigated areas and plantations also spread considerably. Especially the expansion of irrigation systems and plantation area can be explained by the promotion through various national and international development projects. The increase of agricultural areas goes in line with the rapid population growth in most of Burkina Faso’s provinces which still had available land resources for an expansion of agricultural area. An analysis of the development of agricultural areas in the vicinity of protected areas highlighted the increased human pressure on these reserves. The protection of the remnant habitats for flora and fauna while at the same time improving food security for a rapidly growing population, are the major challenges for the region in the future.
The developed ESTARFM framework showed great potential beyond its utilization for the mapping of agricultural area. Other large-scale research that requires a sufficiently high temporal and spatial resolution such as the monitoring of land degradation or the investigation of land surface phenology could greatly benefit from the application of this framework.
Motor aspects of Parkinson’s disease, such as fluctuations and dyskinesia, can be reliably evaluated using a variety of “wearable” technologies, but practical guidance on objective measurement (OM) and the optimum use of these devices is lacking. Therefore, as a first step, a panel of movement disorder specialists met to provide guidance on how OM could be assessed and incorporated into clinical guidelines. A key aspect of the incorporation of OM into the management of Parkinson’s disease (PD) is defining cutoff values that separate “controlled” from “uncontrolled” symptoms that can be modified by therapy and that relate to an outcome that is relevant to the person with PD (such as quality of life). Defining cutoffs by consensus, which can be subsequently tested and refined, is the first step to optimizing OM in the management of PD. OM should be used by all clinicians that treat people with PD but the least experienced may find the most value, but this requires guidance from experts to allow non-experts to apply guidelines. While evidence is gained for devices that produce OM, expert opinion is needed to supplement the evidence base.
PURPOSE:
We aimed to (a) elucidate the concordance of visual assessment of an initial I-ioflupane scan by a human interpreter with comparison to results using a fully automatic semiquantitative method and (b) to assess the accuracy compared to follow-up (f/u) diagnosis established by movement disorder specialists.
METHODS:
An initial I-ioflupane scan was performed in 382 patients with clinically uncertain Parkinsonian syndrome. An experienced reader performed a visual evaluation of all scans independently. The findings of the visual read were compared with semiquantitative evaluation. In addition, available f/u clinical diagnosis (serving as a reference standard) was compared with results of the human read and the software.
RESULTS:
When comparing the semiquantitative method with the visual assessment, discordance could be found in 25 (6.5%) of 382 of the cases for the experienced reader (ĸ = 0.868). The human observer indicated region of interest misalignment as the main reason for discordance. With neurology f/u serving as reference, the results of the reader revealed a slightly higher accuracy rate (87.7%, ĸ = 0.75) compared to semiquantification (86.2%, ĸ = 0.719, P < 0.001, respectively). No significant difference in the diagnostic performance of the visual read versus software-based assessment was found.
CONCLUSIONS:
In comparison with a fully automatic semiquantitative method in I-ioflupane interpretation, human assessment obtained an almost perfect agreement rate. However, compared to clinical established diagnosis serving as a reference, visual read seemed to be slightly more accurate as a solely software-based quantitative assessment.
Pictorial stimuli can vary on many dimensions, several aspects of which are captured by the term ‘visual complexity.’ Visual complexity can be described as, “a picture of a few objects, colors, or structures would be less complex than a very colorful picture of many objects that is composed of several components.” Prior studies have reported a relationship between affect and visual complexity, where complex pictures are rated as more pleasant and arousing. However, a relationship in the opposite direction, an effect of affect on visual complexity, is also possible; emotional arousal and valence are known to influence selective attention and visual processing. In a series of experiments, we found that ratings of visual complexity correlated with affective ratings, and independently also with computational measures of visual complexity. These computational measures did not correlate with affect, suggesting that complexity ratings are separately related to distinct factors. We investigated the relationship between affect and ratings of visual complexity, finding an ‘arousal-complexity bias’ to be a robust phenomenon. Moreover, we found this bias could be attenuated when explicitly indicated but did not correlate with inter-individual difference measures of affective processing, and was largely unrelated to cognitive and eyetracking measures. Taken together, the arousal-complexity bias seems to be caused by a relationship between arousal and visual processing as it has been described for the greater vividness of arousing pictures. The described arousal-complexity bias is also of relevance from an experimental perspective because visual complexity is often considered a variable to control for when using pictorial stimuli.
Purpose: The metabolically most active lesion in 2-deoxy-2-(\(^{18}\)F)fluoro-D-glucose (\(^{18}\)F-FDG) PET/CT can predict progression-free survival (PFS) in patients with medullary thyroid carcinoma (MTC) starting treatment with the tyrosine kinase inhibitor (TKI) vandetanib. However, this metric failed in overall survival (OS) prediction. In the present proof of concept study, we aimed to explore the prognostic value of intratumoral textural features (TF) as well as volumetric parameters (total lesion glycolysis, TLG) derived by pre-therapeutic \(^{18}\)F-FDG PET.
Methods: Eighteen patients with progressive MTC underwent baseline \(^{18}\)F-FDG PET/CT prior to and 3 months after vandetanib initiation. By manual segmentation of the tumor burden at baseline and follow-up PET, intratumoral TF and TLG were computed. The ability of TLG, imaging-based TF, and clinical parameters (including age, tumor marker doubling times, prior therapies and RET (rearranged during transfection) mutational status) for prediction of both PFS and OS were evaluated.
Results: The TF Complexity and the volumetric parameter TLG obtained at baseline prior to TKI initiation successfully differentiated between low- and high-risk patients. Complexity allocated 10/18 patients to the high-risk group with an OS of 3.3y (vs. low-risk group, OS=5.3y, 8/18, AUC=0.78, P=0.03). Baseline TLG designated 11/18 patients to the high-risk group (OS=3.5y vs. low-risk group, OS=5y, 7/18, AUC=0.83, P=0.005). The Hazard Ratio for cancer-related death was 6.1 for Complexity (TLG, 9.5). Among investigated clinical parameters, the age at initiation of TKI treatment reached significance for PFS prediction (P=0.02, OS, n.s.).
Conclusions: The TF Complexity and the volumetric parameter TLG are both independent parameters for OS prediction.
The command area of the Rakh branch canal grows wheat, sugarcane, and rice crops in abundance. The canal water, which is trivial for irrigating these crops, is conveyed to the farms through the network of canals and distributaries. For the maintenance of this vast infrastructure; the end users are charged on a seasonal basis. The present water charges are severely criticized for not being adequate to properly manage the entire infrastructure. We use the residual value to determine the value of the irrigation water and then based on the quantity of irrigation water supplied to farm land coupled with the infrastructure maintenance cost, full cost recovery figures are executed for the study area, and policy recommendations are made for the implementation of the full cost recovery system. The approach is unique in the sense that the pricings are based on the actual quantity of water conveyed to the field for irrigating crops. The results of our analysis showed that the canal water is severely under charged in the culturable command area of selected distributaries, thus negating the plan of having a self-sustainable irrigation system.
Although many genes have been identified using high throughput technologies in endometriosis (ES), only a small number of individual genes have been analyzed functionally. This is due to the complexity of the disease that has different stages and is affected by various genetic and environmental factors. Many genes are upregulated or downregulated at each stage of the disease, thus making it difficult to identify key genes. In addition, little is known about the differences between the different stages of the disease. We assumed that the study of the identified genes in ES at a system-level can help to better understand the molecular mechanism of the disease at different stages of the development. We used publicly available microarray data containing archived endometrial samples from women with minimal/mild endometriosis (MMES), mild/severe endometriosis (MSES) and without endometriosis. Using weighted gene co-expression analysis (WGCNA), functional modules were derived from normal endometrium (NEM) as the reference sample. Subsequently, we tested whether the topology or connectivity pattern of the modules was preserved in MMES and/or MSES. Common and specific hub genes were identified in non-preserved modules. Accordingly, hub genes were detected in the non-preserved modules at each stage. We identified sixteen co-expression modules. Of the 16 modules, nine were non-preserved in both MMES and MSES whereas five were preserved in NEM, MMES, and MSES. Importantly, two non-preserved modules were found in either MMES or MSES, highlighting differences between the two stages of the disease. Analyzing the hub genes in the non-preserved modules showed that they mostly lost or gained their centrality in NEM after developing the disease into MMES and MSES. The same scenario was observed, when the severeness of the disease switched from MMES to MSES. Interestingly, the expression analysis of the new selected gene candidates including CC2D2A, AEBP1, HOXB6, IER3, and STX18 as well as IGF-1, CYP11A1 and MMP-2 could validate such shifts between different stages. The overrepresented gene ontology (GO) terms were enriched in specific modules, such as genetic disposition, estrogen dependence, progesterone resistance and inflammation, which are known as endometriosis hallmarks. Some modules uncovered novel co-expressed gene clusters that were not previously discovered.
This thesis considers a model of a scalar partial differential equation in the presence of a singular source term, modeling the interaction between an inviscid fluid represented by the Burgers equation and an arbitrary, finite amount of particles moving inside the fluid, each one acting as a point-wise drag force with a particle related friction constant.
\begin{align*}
\partial_t u + \partial_x (u^2/2) &= \sum_{i \in N(t)} \lambda_i \Big(h_i'(t)-u(t,h_i(t)\Big)\delta(x-h_i(t))
\end{align*}
The model was introduced for the case of a single particle by Lagoutière, Seguin and Takahashi, is a first step towards a better understanding of interaction between fluids and solids on the level of partial differential equations and has the unique property of considering entropy admissible solutions and the interaction with shockwaves.
The model is extended to an arbitrary, finite number of particles and interactions like merging, splitting and crossing of particle paths are considered.
The theory of entropy admissibility is revisited for the cases of interfaces and discontinuous flux conservation laws, existing results are summarized and compared, and adapted for regions of particle interactions. To this goal, the theory of germs introduced by Andreianov, Karlsen and Risebro is extended to this case of non-conservative interface coupling.
Exact solutions for the Riemann Problem of particles drifting apart are computed and analysis on the behavior of entropy solutions across the particle related interfaces is used to determine physically relevant and consistent behavior for merging and splitting of particles. Well-posedness of entropy solutions to the Cauchy problem is proven, using an explicit construction method, L-infinity bounds, an approximation of the particle paths and compactness arguments to obtain existence of entropy solutions. Uniqueness is shown in the class of weak entropy solutions using almost classical Kruzkov-type analysis and the notion of L1-dissipative germs.
Necessary fundamentals of hyperbolic conservation laws, including weak solutions, shocks and rarefaction waves and the Rankine-Hugoniot condition are briefly recapitulated.
Panic disorder (PD) is characterized by recurrent and unexpected panic attacks, subsequent anticipatory anxiety, and phobic avoidance. Recent epidemiological and genetic studies have revealed that genetic factors contribute to the pathogenesis of PD. We performed whole-exome sequencing on one Japanese family, including multiple patients with panic disorder, which identified seven rare protein-altering variants. We then screened these genes in a Japanese PD case–control group (384 sporadic PD patients and 571 controls), resulting in the detection of three novel single nucleotide variants as potential candidates for PD (chr15: 42631993, T>C in GANC; chr15: 42342861, G>T in PLA2G4E; chr20: 3641457, G>C in GFRA4). Statistical analyses of these three genes showed that PLA2G4E yielded the lowest p value in gene-based rare variant association tests by Efficient and Parallelizable Association Container Toolbox algorithms; however, the p value did not reach the significance threshold in the Japanese. Likewise, in a German case–control study (96 sporadic PD patients and 96 controls), PLA2G4E showed the lowest p value but again did not reach the significance threshold. In conclusion, we failed to find any significant variants or genes responsible for the development of PD. Nonetheless, our results still leave open the possibility that rare protein-altering variants in PLA2G4E contribute to the risk of PD, considering the function of this gene.
Background:
In previous studies, the gram-positive firmicute genus Paenibacillus was found with significant abundances in nests of wild solitary bees. Paenibacillus larvae is well-known for beekeepers as a severe pathogen causing the fatal honey bee disease American foulbrood, and other members of the genus are either secondary invaders of European foulbrood or considered a threat to honey bees. We thus investigated whether Paenibacillus is a common bacterium associated with various wild bees and hence poses a latent threat to honey bees visiting the same flowers.
Results:
We collected 202 samples from 82 individuals or nests of 13 bee species at the same location and screened each for Paenibacillus using high-throughput sequencing-based 16S metabarcoding. We then isolated the identified strain Paenibacillus MBD-MB06 from a solitary bee nest and sequenced its genome. We did find conserved toxin genes and such encoding for chitin-binding proteins, yet none specifically related to foulbrood virulence or chitinases. Phylogenomic analysis revealed a closer relationship to strains of root-associated Paenibacillus rather than strains causing foulbrood or other accompanying diseases. We found anti-microbial evidence within the genome, confirmed by experimental bioassays with strong growth inhibition of selected fungi as well as gram-positive and gram-negative bacteria.
Conclusions:
The isolated wild bee associate Paenibacillus MBD-MB06 is a common, but irregularly occurring part of wild bee microbiomes, present on adult body surfaces and guts and within nests especially in megachilids. It was phylogenetically and functionally distinct from harmful members causing honey bee colony diseases, although it shared few conserved proteins putatively toxic to insects that might indicate ancestral predisposition for the evolution of insect pathogens within the group. By contrast, our strain showed anti-microbial capabilities and the genome further indicates abilities for chitin-binding and biofilm-forming, suggesting it is likely a useful associate to avoid fungal penetration of the bee cuticula and a beneficial inhabitant of nests to repress fungal threats in humid and nutrient-rich environments of wild bee nests.
Background
Wilms’ tumor 1-associating protein (WTAP) is a nuclear protein, which is ubiquitously expressed in many tissues. Furthermore, in various types of malignancies WTAP is overexpressed and plays a role as an oncogene. The function of WTAP in diffuse large B-cell lymphoma (DLBCL), however, remains unclear.
Methods
Immunohistochemistry was applied to evaluate the levels of WTAP expression in DLBCL tissues and normal lymphoid tissues. Overexpression and knock-down of WTAP in DLBCL cell lines, verified on mRNA and protein level served to analyze cell proliferation and apoptosis in DLBCL cell lines by flow cytometry. Finally, co-immunoprecipitation (Co-IP), IP, and GST-pull down assessed the interaction of WTAP with Heat shock protein 90 (Hsp90) and B-cell lymphoma 6 (BCL6) as well as determined the extend of its ubiquitinylation.
Results
WTAP protein levels were consistently upregulated in DLBCL tissues. WTAP promoted DLBCL cell proliferation and improved the ability to confront apoptosis, while knockdown of WTAP in DLBCL cell lines allowed a significant higher apoptosis rate after treatment with Etoposide, an anti-tumor drug. The stable expression of WTAP was depended on Hsp90. In line, we demonstrated that WTAP could form a complex with BCL6 via Hsp90 in vivo and in vitro.
Conclusion
WTAP is highly expressed in DLBCL, promoting growth and anti-apoptosis in DLBCL cell lines. WTAP is a client protein of Hsp90 and can appear in a complex with BCL6 and Hsp90 in DLBCL. Down-regulation of WTAP could improve the chemotherapeutic treatments in DLBCL.
Phosphines are important ligands in homogenous catalysis and have been crucial for many advances, such as in cross-coupling, hydrofunctionalization, or hydrogenation reactions. Herein we report the synthesis and application of a novel class of phosphines bearing ylide substituents. These phosphines are easily accessible via different synthetic routes from commercially available starting materials. Owing to the extra donation from the ylide group to the phosphorus center the ligands are unusually electron-rich and can thus function as strong electron donors. The donor capacity surpasses that of commonly used phosphines and carbenes and can easily be tuned by changing the substitution pattern at the ylidic carbon atom. The huge potential of ylide-functionalized phosphines in catalysis is demonstrated by their use in gold catalysis. Excellent performance at low catalyst loadings under mild reaction conditions is thus seen in different types of transformations.
Background:
The cardiac hormones atrial (ANP) and B-type natriuretic peptides (BNP) moderate arterial blood pressure and improve energy metabolism as well as insulin sensitivity via their shared cGMP-producing guanylyl cyclase-A (GC-A) receptor. Obesity is associated with impaired NP/GC-A/cGMP signaling, which possibly contributes to the development of type 2 diabetes and its cardiometabolic complications. In vitro, synthetic ANP, via GC-A, stimulates glucose-dependent insulin release from cultured pancreatic islets and β-cell proliferation. However, the relevance for systemic glucose homeostasis in vivo is not known. To dissect whether the endogenous cardiac hormones modulate the secretory function and/or proliferation of β-cells under (patho)physiological conditions in vivo, here we generated a novel genetic mouse model with selective disruption of the GC-A receptor in β-cells.
Methods:
Mice with a floxed GC-A gene were bred to Rip-CreTG mice, thereby deleting GC-A selectively in β-cells (β GC-A KO). Weight gain, glucose tolerance, insulin sensitivity, and glucose-stimulated insulin secretion were monitored in normal diet (ND)- and high-fat diet (HFD)-fed mice. β-cell size and number were measured by immunofluorescence-based islet morphometry.
Results:
In vitro, the insulinotropic and proliferative actions of ANP were abolished in islets isolated from β GC-A KO mice. Concordantly, in vivo, infusion of BNP mildly enhanced baseline plasma insulin levels and glucose-induced insulin secretion in control mice. This effect of exogenous BNP was abolished in β GC-A KO mice, corroborating the efficient inactivation of the GC-A receptor in β-cells. Despite this under physiological, ND conditions, fasted and fed insulin levels, glucose-induced insulin secretion, glucose tolerance and β-cell morphology were similar in β GC-A KO mice and control littermates. However, HFD-fed β GC-A KO animals had accelerated glucose intolerance and diminished adaptative β-cell proliferation.
Conclusions:
Our studies of β GC-A KO mice demonstrate that the cardiac hormones ANP and BNP do not modulate β-cell's growth and secretory functions under physiological, normal dietary conditions. However, endogenous NP/GC-A signaling improves the initial adaptative response of β-cells to HFD-induced obesity. Impaired β-cell NP/GC-A signaling in obese individuals might contribute to the development of type 2 diabetes.