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Institute
- Graduate School of Life Sciences (32)
- Theodor-Boveri-Institut für Biowissenschaften (32)
- Physikalisches Institut (10)
- Institut für Theoretische Physik und Astrophysik (9)
- Institut für Mathematik (7)
- Institut für Pharmakologie und Toxikologie (7)
- Institut für Molekulare Infektionsbiologie (6)
- Institut für Physikalische und Theoretische Chemie (6)
- Rudolf-Virchow-Zentrum (6)
- Institut für Organische Chemie (5)
The high failure rate of new drug candidates in preclinical or clinical studies due to hepatotoxicity represents a considerable problem in the drug development. Hence, there is an urgent need to develop new approaches for early and reliable prediction of drug-induced hepatotoxicity that enables a better identification of drug candidates with high potential for toxicity at early stages of drug development. Therefore, the aim of this work was to improve the prediction of drug-induced liver injury in preclinical studies through evaluation of more reliable and sensitive biomarkers of hepatotoxicity and a better understanding of the underlying mechanistic basis for drug-induced toxicity. First, the ability of a set of potential markers (NGAL, thiostatin, clusterin, PON1) to detect early signs of liver injury was assessed in rats treated with drug candidates that were dropped from further development, in part due to toxic adverse effects in the liver. In summary, PON1 and clusterin were not consistently altered in response to liver injury and thus provide no additive information to the traditional liver enzymes in detecting drug-induced hepatotoxicity. In contrast, thiostatin and NGAL were increased in serum and urine of treated animals in a time- and dose-dependent manner. These changes correlated well with mRNA expression in the target organ and generally reflected the onset and degree of drug-induced liver injury. Receiver-operating characteristics analyses supported serum thiostatin, but not NGAL, as a better indicator of drug-induced hepatobiliary injury than conventional clinical chemistry parameters, such as ALP, ALT and AST. Although thiostatin, an acute phase protein expressed in a range of tissues, may not be specific for liver injury, our results indicate that thiostatin may serve as a sensitive, minimally-invasive diagnostic marker of inflammation and tissue damage in preclinical safety assessment. In the second part of this work, combined application of genomics profiling technology and RNAi to inhibit the pharmacological target of a drug candidate BAY16, a glucagon receptor (GCGR) antagonist, was used to determine if interference with the pharmacological target plays a role in the toxic response to BAY16, and to narrow down those molecular changes that are associated with toxicity, and not the pharmacological action of BAY16. In contrast to Bay 16, which was found to be cytotoxic at concentrations of 75 µM, silencing of the glucagon receptor did not affect cell viability in primary rat hepatocytes. Thus, it can be concluded that hepatotoxicity of Bay 16 was not related to the drugs inhibitory effect on the glucagon receptor in vitro and in vivo. These findings were supported by the fact that most of BAY16-induced changes in gene expression occurred independently of the pharmacological modulation of GCGR. These off-target effects include altered xenobiotic metabolism, oxidative stress, increased fatty acid synthesis, and alterations in cholesterol and bile acid metabolic processes. Although it was not possible to draw a final conclusion about the mechanism of BAY16 hepatotoxicity, changes in these molecular mechanisms appear contribute to progression of hepatic injury. With regard to drug safety assessment in preclinical studies, the utilization of siRNA technology in vitro represents a new approach to improve mechanistic understanding of the nature of drug’s toxicity, being either chemically mediated or due to primary or secondary pharmacological mode of action.
Imprinted genes play important roles in brain development. As the neural developmental capabilities of human parthenogenetic embryonic stem cells (hpESCs) with only a maternal genome were not assessed in great detail, hence here the potential of hpESCs to differentiate into various neural subtypes was determined. In addition DNA methylation and expression of imprinted genes upon neural differentiation was also investigated. The results demonstrated that hpESC-derived neural stem cells (hpNSCs) showed expression of NSC markers Sox1, Nestin, Pax6, and Musashi1 (MS1), the silencing of pluripotency genes (Oct4, Nanog) and the absence of activation of neural crest (Snai2, FoxD3) and mesodermal (Acta1) markers. Moreover, confocal images of hpNSC cultures exhibited ubiquitous expression of NSC markers Nestin, Sox1, Sox2 and Vimentin. Differentiating hpNSCs for 28 days generated neural subtypes with neural cell type-specific morphology and expression of neuronal and glial markers, including Tuj1, NeuN, Map2, GFAP, O4, Tau, Synapsin1 and GABA. hpNSCs also responded to region-specific differentiation signals and differentiated into regional phenotypes such as midbrain dopaminergic- and motoneuron-type cells. hpESC-derived neurons showed typical neuronal Na+/K+ currents in voltage clamp mode, elicited multiple action potentials with a maximum frequency of 30 Hz. Cell depicted a typical neuron-like current pattern that responded to selective pharmacological blockers of sodium (tetrodotoxin) and potassium (tetraethylammonium) channels. Furthermore, in hpESCs and hpNSCs the majority of CpGs of the differentially methylated regions (DMRs) KvDMR1 were methylated whereas DMR1 (H19/Igf2 locus) showed partial or complete absence of CpG methylation, which is consistent with a parthenogenetic (PG) origin. Upon differentiation parent-of-origin-specific gene expression was maintained in hpESCs and hpNSCs as demonstrated by imprinted gene expression analyses. Together this shows that despite the lack of a paternal genome, hpNSCs are proficient in differentiating into glial- and neuron-type cells, which exhibit electrical activity similar to newly formed neurons. Moreover, maternal-specific gene expression and imprinting-specific DNA-methylation are largely maintained upon neural differentiation. hpESCs are a means to generate histocompatible and disease allele-free ESCs. Additionally, hpESCs are a unique model to study the influence of imprinting on neurogenesis.
This thesis is devoted to numerical verification of optimality conditions for non-convex optimal control problems. In the first part, we are concerned with a-posteriori verification of sufficient optimality conditions. It is a common knowledge that verification of such conditions for general non-convex PDE-constrained optimization problems is very challenging. We propose a method to verify second-order sufficient conditions for a general class of optimal control problem. If the proposed verification method confirms the fulfillment of the sufficient condition then a-posteriori error estimates can be computed. A special ingredient of our method is an error analysis for the Hessian of the underlying optimization problem. We derive conditions under which positive definiteness of the Hessian of the discrete problem implies positive definiteness of the Hessian of the continuous problem. The results are complemented with numerical experiments. In the second part, we investigate adaptive methods for optimal control problems with finitely many control parameters. We analyze a-posteriori error estimates based on verification of second-order sufficient optimality conditions using the method developed in the first part. Reliability and efficiency of the error estimator are shown. We illustrate through numerical experiments, the use of the estimator in guiding adaptive mesh refinement.
Melanoma arises from the malignant transformation of melanocytes and is one of the most aggressive forms of human cancer. In fish of the genus Xiphophorus, melanoma development, although very rarely, happens spontaneously in nature and can be induced by interspecific crossing. The oncogenic receptor tyrosine kinase, Xmrk, is responsible for melanoma formation in these fishes. Since Xiphophorus are live-bearing fishes and therefore not compatible with embryonic manipulation and transgenesis, the Xmrk melanoma model was brought to the medaka (Oryzias latipes) system. Xmrk expression under the control of the pigment cell specific mitf promoter leads to melanoma formation with 100% penetrance in medaka. Xmrk is an orthologue of the human epidermal growth factor receptor (EGFR) and activates several downstream signaling pathways. Examples of these pathways are the direct phosphorylation of BRAF and Stat5, as well as the enhanced transcription of C-myc. BRAF is a serine-threonine kinase which is found mutated at high frequencies in malignant melanomas. Stat5 is a transcription factor known to be constitutively activated in fish melanoma. C-myc is a transcription factor that is thought to regulate the expression of approximately 15% of all human genes and is involved in cancer progression of a large number of different tumors. To gain new in vivo information on candidate factors known to be involved in melanoma progression, I identified and analysed BRAF, Stat5 and C-myc in the laboratory fish model system medaka. BRAF protein motifs are highly conserved among vertebrates and the results of this work indicate that its function in the MAPK signaling is maintained in medaka. Transgenic medaka lines carrying a constitutive active version of BRAF (V614E) showed more pigmented skin when compared to wild type. Also, some transiently expressing BRAF V614E fishes showed a disrupted eye phenotype. In addition, I was able to identify two Stat5 copies in medaka, named Stat5ab/a and Stat5ab/b. Sequence analysis revealed a higher similarity between both Stat5 sequences when compared to either human Stat5a or Stat5b. This suggests that the two Stat5 copies in medaka arose by an independent duplication processes. I cloned these two Stat5 present in medaka, produced constitutive active and dominant negative gene versions and successfully established transgenic lines carrying each version under the control of the MITF promoter. These lines will help to elucidate questions that are still remaining in Stat5 biology and its function in melanoma progression, like the role of Stat5 phosphorylation on tumor invasiveness. In a third project during my PhD work, I analysed medaka C-myc function and indentified two copies of this gene in medaka, named c-myc17 and c-myc20, according to the chromosome where they are located. I produced conditional transgenic medaka lines carrying the c-myc17 gene coupled to the hormone binding domain of the estrogen receptor to enable specific transgene activation at a given time point. Comparable to human C-myc, medaka C-myc17 is able to induce proliferation and apoptosis in vivo after induction. Besides that, C-myc17 long-term activation led to liver hyperplasia. In summary, the medaka models generated in this work will be important to bring new in vivo information on genes involved in cancer development. Also, the generated transgenic lines can be easily crossed to the melanoma developing Xmrk medaka lines, thereby opening up the possibility to investigate their function in melanoma progression. Besides that, the generated medaka fishes make it possible to follow the whole development of melanocytes, since the embryos are transparent and can be used for high throughput chemical screens.
Malaria and HIV are among the most important global health problems of our time and together are responsible for approximately 3 million deaths annually. These two diseases overlap in many regions of the world including sub-Saharan Africa, Southeast Asia and South America, leading to a higher risk of co-infection. In this study, we generated and characterized hybrid molecules to target P. falciparum and HIV simultaneously for a potential HIV/malaria combination therapy. Hybrid molecules were synthesized by covalent fusion between azidothymidine (AZT) and dihydroartemisinin (DHA), tetraoxane or chloroquine (CQ); and a small library was generated and tested for antiviral and antimalarial activity. Our data suggest that dihyate is the most potent molecule in vitro, with antiplasmodial activity comparable to that of DHA (IC50 = 26 nM, SI > 3000), a moderate activity against HIV (IC50 = 2.9 µM; SI > 35) and safe to HeLa cells at concentrations used in the assay (CC50 > 100 µM). Pharmacokinetic studies further revealed that dihyate is metabolically unstable and is cleaved following an O-dealkylation once in contact with cytochrome P450 enzymes. The later further explains the uneffectiveness of dihyate against the CQ-sensitive P. berghei N strain in mice when administered by oral route at 20 mg/kg. Here, we report on a first approach to develop antimalarial/anti-HIV hybrid molecules and future optimization efforts will aim at producing second generation hybrid molecules to improve activity against HIV as well as compound bioavailability. With the emergence of resistant parasites against all the counterpart drugs of artemisinin derivatives used in artemisinin based combination therapies (ACTs), the introduction of antibiotics in the treatment of malaria has renewed interest on the identification of antibiotics with potent antimalarial properties. In this study we also investigated the antiplasmodial potential of thiostrepton and derivatives, synthesized using combinations of tail truncation, oxidation, and addition of lipophilic thiols to the terminal dehydroamino acid. We showed that derivatives SS231 and SS234 exhibit a better antiplasmodial activity (IC50 = 1 µM SI > 59 and SI > 77 respectively) than thiostrepton (IC50 = 8.95 µM, SI = 1.7). The antiplasmodial activity of these derivatives was observed at concentrations which are not hemolytic and non-toxic to human cell lines. Thiostrepton and derivatives appeared to exhibit transmission blocking properties when administered at their IC50 or IC90 concentrations and our data also showed that they attenuate proteasome activity of Plasmodium, which resulted in an accumulation of ubiquitinated proteins after incubation with their IC80 concentrations. Our results indicate that the parasite’s proteasome could be an attractive target for therapeutic intervention. In this regard, thiostrepton derivatives are promising candidates by dually acting on two independent targets, the proteasome and the apicoplast, with the capacity to eliminate both intraerythrocytic asexual and transmission stages of the parasite. To further support our findings, we evaluated the activity of a new class of antimalarial and proteasome inhibitors namely peptidyl sulfonyl fluorides on gametocyte maturation and analogues AJ34 and AJ38 were able to completely suppress gametocytogenesis at IC50 concentrations (0.23 µM and 0.17 µM respectively) suggesting a strong transmission blocking potential. The proteasome, a major proteolytic complex, responsible for the degradation and re-cycling of non-functional proteins has been studied only indirectly in P. falciparum. In addition, an apparent proteasome-like protein with similarity to bacterial ClpQ/hslV threonine-peptidases was predicted in the parasite. Antibodies were generated against the proteasome subunits alpha type 5 (α5-SU), beta type 5 (β5-SU) and pfhslV in mice and we showed that the proteasome is expressed in both sexual and asexual blood stages of P. falciparum, where they localize in the nucleus and in the cytoplasm. However, expression of PfhslV was only observed in trophozoites and shizonts. The trafficking of the studied proteasome subunits was further investigated by generating parasites expressing GFP tagged proteins. The expression of α5-SU-GFP in transgenic parasite appeared to localize abundantly in the cytoplasm of all blood stages, and no additional information was obtained from this parasite line. In conclusion, our data highlight two new tools towards combination therapy. Hybrid molecules represent promising tools for the cure of co-infected individuals, while very potent antibiotics with a wide scope of activities could be useful in ACTs by eliminating resistant parasites and limiting transmission of both, resistances and disease.
The neurodegenerative disorder Alzheimer's disease (AD) is the cause of approximately 60% of the world's 35 million patients suffering from dementia. Current research focuses here are on association with other diseases such as diabetes type 2 (T2DM), possible genetic markers, specific signal transduction pathways within the brain and potential protein modification, because the pathogenesis and etiology of AD are still not fully understood. Specifically association of T2DM with AD came to the focus with the so-called "Rotterdam study" in 1999, indicating that T2DM doubles the risk of developing AD. In the meantime, it is known that the prevalence rate in patients with T2DM is 30%. Drugs commonly used in the treatment of T2DM such as peroxisome proliferator-activated receptors gamma (PPARγ) agonists show improvement of the cognitive abilities in patients with early stage of dementia, with potential therapeutically relevance. Therefore it is important not only to investigate a link between these diseases, but also to investigate the insulin signaling pathway in the brain of AD patients. In order to investigate this complex issue in more details and demonstrate additional links between T2DM and AD, the present study used several basic biological methods to clarify the question: "Is impaired insulin signaling pathway within the brain crucial for the development of AD?" from several points of view. The methods used in this work have been i) an analysis of single nucleotide (SNP) polymorphism of the insulin-degrading enzyme gene (IDE) in relation to risk of AD and / or of T2DM, ii) post-mortem histochemical studies of brain tissue of patients with only AD, with AD combined with T2DM and with only T2DM compared with an age-matched control group, and iii.) investigations of neurochemical pathways and gene/protein expression changes of a human cell culture as a consequences of amyloid β (Aβ) treatment. After analysis of the IDE SNP polymorphism in the selected VITA (Vienna Trans Danube Aging) cohort disease-specific effects were discovered. The upstream polymorphism (IDE2) was found to influence AD risk in a protective manner, while the downstream polymorphism (IDE7) modified the T2DM risk. Based on the SNP results, the presented study delineate the model that IDE promoter and 3‟ untranslated region/downstream variation can have different effects on IDE expression, maybe a relevant endophenotype with disorder-specific effects on AD and T2DM susceptibility. Furthermore, the human post-mortem studies could show that both AD as well as T2DM patients had a significantly lower density of the insulin receptor (IR) in the hippocampus, whereas a significantly increased density of inactive phosphorylated PPARγ has been found and this persisted even in patients with both diseases. Summarizing the histological study, it was possible to reveal common histological features of AD and T2DM, but no direct connection between the two diseases. Although AD is nowadays not only characterized by amyloid-containing plaque deposits and by the hyperphosphorylation of tau protein, the excessive Aβ42 presence in the brains of AD patients is still playing a key role. Up to date it is still not entirely clear which physical form of Aβ42 is responsible for the development of AD. The present work investigated, what impact has the state of aggregation of Aβ42 on genes and proteins of the insulin signaling pathway and the amyloid cascade. It could be shown that the oligomeric variant enhanced specifically the gene and protein expression of glycogen synthase kinase (GSK) 3β and also the enzyme activity was significantly increased, but has in turn strongly inhibited the IR gene and protein expression. Additionally, the effect of Aβ42 on monoamine oxidase B (MAO-B) was examined. An effect of both aggregated forms of Aβ42 had on enzyme activity was discovered. However, the fibrillar variants led to significantly increased activity of MAO-B while the oligomeric variants inhibited the enzyme activity. Several previous studies have demonstrated the involvement of increased MAO-B activity in AD, but the present work provides for the first time a direct link between the states of aggregation of Aβ42 to enzyme activity. Finally the results of the presented thesis can be summarized to following conclusion: Although AD and T2DM sharing some degrees of common features, still there is a lack of direct association, and therefore the diseases must be considered more independent rather than linked. But the impaired cerebral insulin signaling pathway seems to be another manifested hallmark of AD.
This thesis focuses on various aspects and techniques of 19F magnetic resonance (MR). The first chapters provide an overview of the basic physical properties, 19F MR and MR sequences related to this work. Chapter 5 focuses on the application of 19F MR to visualize biological processes in vivo using two different animal models. The dissimilar models underlined the wide applicability of 19F MR in preclinical research. A subsection of Chapter 6 shows the application of compressed sensing (CS) to 19F turbo-spin-echo chemical shift imaging (TSE-CSI), which leads to reduced measurement time. CS, however, can only be successfully applied when a sufficient signal-to-noise ratio (SNR) is available. When the SNR is low, so-called spike artifacts occur with the CS algorithm used in the present work. However, it was shown in an additional subsection that these artifacts can be reduced using a CS-based post processing algorithm. Thus, CS might help overcome limitations with time consuming 19F CSI experiments. Chapter 7 deals with a novel technique to quantify the B+1 profile of an MR coil. It was shown that, using a specific application scheme of off resonant pulses, Bloch-Siegert (BS)-based B+1 mapping can be enabled using a Carr Purcell Meiboom Gill (CPMG)-based TSE sequence. A fast acquisition of the data necessary for B+1 mapping was thus enabled. In the future, the application of BS-CPMG-TSE B+1 mapping to improve quantification using 19F MR could therefore be possible.
This work takes a close look at several quite different research areas related to the design of networked embedded sensor/actuator systems. The variety of the topics illustrates the potential complexity of current sensor network applications; especially when enriched with actuators for proactivity and environmental interaction. Besides their conception, development, installation and long-term operation, we'll mainly focus on more "low-level" aspects: Compositional hardware and software design, task cooperation and collaboration, memory management, and real-time operation will be addressed from a local node perspective. In contrast, inter-node synchronization, communication, as well as sensor data acquisition, aggregation, and fusion will be discussed from a rather global network view. The diversity in the concepts was intentionally accepted to finally facilitate the reliable implementation of truly complex systems. In particular, these should go beyond the usual "sense and transmit of sensor data", but show how powerful today's networked sensor/actuator systems can be despite of their low computational performance and constrained hardware: If their resources are only coordinated efficiently!
The thesis enhances the strategy of non-destructive fluorescence read-out in rylene bisimide-diarylethene containing photochromic systems. The fluorescence of the emitter unit is quenched by a photoinduced electron transfer only to one of the isomeric forms of the photochrome. The driving force of the fuorescence-quenching electron transfer was calculated by the help of the Rehm-Weller equation. The novel photochromic systems satisfy the necessary requirements for non-destructive read-out in write/read/erase fluorescent memory devices.
Self-organized nanowires at semiconductor surfaces offer the unique opportunity to study electrons in reduced dimensions. Notably the dimensionality of the system determines it’s electronic properties, beyond the quasiparticle description. In the quasi-one-dimensional (1D) regime with weak lateral coupling between the chains, a Peierls instability can be realized. A nesting condition in the Fermi surface leads to a backfolding of the 1D electron band and thus to an insulating state. It is accompanied by a charge density wave (CDW) in real space that corresponds to the nesting vector. This effect has been claimed to occur in many surface-defined nanowire systems, such as the In chains on Si(111) or the Au reconstructions on the terraced Si(553) and Si(557) surfaces. Therefore a weak coupling between the nanowires in these systems has to be concluded. However theory proposes another state in the perfect 1D limit, which is completely destroyed upon slight coupling to higher dimensions. In this so-called Tomonaga-Luttinger liquid (TLL) state, the quasiparticle description of the Fermi liquid breaks down. Since the interaction between the electrons is enhanced due to the strong confinement, only collective excitations are allowed. This leads to novel effects like spin charge separation, where spin and charge degrees of freedom are decoupled and allowed to travel independently along the 1D-chain. Such rare state has not been realized at a surface until today. This thesis uses a novel approach to realize nanowires with improved confinement by studying the Au reconstructed Ge(001) surface. A new cleaning procedure using piranha solution is presented, in order to prepare a clean and long-range ordered substrate. To ensure optimal growth of the Au nanowires the phase diagram is extensively studied by scanning tunneling microscopy (STM) and low energy electron diffraction (LEED). The structural elements of the chains are revealed and described in high detail. Remarkably a structural phase transition of the delicate wire structure is found to occur above room temperature. Due to the lack of energy gaps a Peierls transition can be excluded as its origin. The transition is rather determined as 3D Ising type and therefore includes the substrate as well. Two hallmark properties of a TLL are found in the Au/Ge(001) wires by spectroscopic studies: Power-law suppression of the density of states (DOS) and universal scaling. This impressively proves the existence of a TLL in these chains and opens up a gateway to an atomic playground. Local studies and manipulations of a TLL state become possible for the first time. These comprise (i) doping by alkaline atoms, (ii) studies on chain ends and (iii) tunable coupling between the chains by additional Au atoms. Most importantly these manipulations offer input and test for theoretical models and predictions, and are thereby ultimately advancing the field of correlated electrons.
Recent development of proteomic approaches and generation of large-scale proteomic datasets calls for new methods for biological interpretation of the obtained results. Systems biological approaches such as integrated network analysis and functional module search have become an essential part of proteomic investigation. Proteomics is especially applied in anucleate cells such as platelets. The underlying molecular mechanisms of platelet activation and their pharmacological modulation are of immense importance for clinical research. Advances in platelet proteomics have provided a large amount of proteomic data, which has not yet been comprehensively investigated in a systems biological perspective. To this end, I assembled platelet specific data from proteomic and transcriptomic studies by detailed manual curation and worked on the generation of a comprehensive human platelet repository for systems biological analysis of platelets in the functional context of integrated networks (PlateletWeb) (http:/PlateletWeb.bioapps.biozentrum.uni-wuerzburg.de). I also added platelet-specific experimentally validated phosphorylation data and generated kinase predictions for 80% of the newly identified platelet phosphosites. The combination of drug, disease and pathway information with phosphorylation and interaction data makes this database the first integrative platelet platform available for platelet research. PlateletWeb contains more than 5000 platelet proteins, which can also be analyzed and visualized in a network context, allowing identification of all major signaling modules involved in platelet activation and inhibition. Using the wealth of integrated data I performed a series of platelet-specific analyses regarding the platelet proteome, pathways, drug targets and novel platelet phosphorylation events involved in crucial signaling events. I analyzed the statistical enrichment of known pathways for platelet proteins and identified endocytosis as a highly represented pathway in platelets. Further results revealed that highly connected platelet proteins are more often targeted by drugs. Using integrated network analysis offered by PlateletWeb, I analyzed the crucial activation signaling pathway of adenosine diphosphate (ADP), visualizing how the signal flow from receptors to effectors is maintained. My work on integrin inside-out signaling was also based on the integrated network approach and examined new platelet-specific phosphorylation sites and their regulation using kinase predictions. I generated hypothesis on integrin signaling, by investigating the regulation of Ser269 phosphorylation site on the docking protein 1 (DOK1). This phosphorylation site may influence the inhibiting effect of DOK1 on integrin a2bb3. Extending the integrated network approach to further cell lines, I used the assembled human interactome information for the analysis of functional modules in cellular networks. The investigation was performed with a previously developed module detection algorithm, which finds maximum-scoring subgraphs in transcriptomic datasets by using assigned values to the network nodes. We extended the algorithm to qualitative proteomic datasets and enhanced the module search by adding functional information to the network edges to concentrate the solution onto modules with high functional similarity. I performed a series of analyses to validate its performance in small-sized (virus-infected gastric cells) and medium-sized networks (human lymphocytes). In both cases the algorithm extracted characteristic modules of sample proteins with high functional similarity. The functional module search is especially useful in site-specific phosphoproteomic datasets, where kinase regulation of the detected sites is often sparse or lacking. Therefore, I used the module detection algorithm in quantitative phosphoproteomic datasets. In a platelet phosphorylation dataset, I presented a pipeline for network analysis of detected phosphorylation sites. In a second approach, the functional module detecting algorithm was used on a phosphoproteome network of human embryonic stem cells, in which nodes represented the maximally changing phosphorylation sites in the experiment. Additional kinases from the human phosphoproteome in PlateletWeb were included to the network to investigate the regulation of the signal flow. Results indicated important phosphorylation sites and their upstream kinases and explained changes observed in embryonic stem cells during differentiation. This work presents novel approaches for integrated network analysis in cells and introduces for the first time a systematic biological investigation of the human platelet proteome based on the platelet-specific knowledge base PlateletWeb. The extended methods for optimized functional module detection offer an invaluable tool for exploring proteomic datasets and covering gaps in complex large-scale data analysis. By combining exact module detection approaches with functional information data between interacting proteins, characteristic functional modules with high functional resemblance can be extracted from complex datasets, thereby focusing on important changes in the observed networks.
Glioblastoma multiforme (GBM) represents the most aggressive form of malignant brain tumors and remains a therapeutically challenge. Intense research in the field has lead to the testing of oncolytic viruses to improve tumor control. Currently, a variety of different oncolytic viruses are being evaluated for their ability to be used in anti-cancer therapy and a few have entered clinical trials. Vaccinia virus, is one of the viruses being studied. GLV-1h68, an oncolytic vaccinia virus engineered by Genelux Corporation, was constructed by insertion of three gene cassettes, RUC-GFP fusion, β-galactosidase and β- glucuronidase into the genome of the LIVP strain. Since focal tumor radiotherapy is a mainstay for cancer treatment, including glioma therapy, it is of clinical relevance to assess how systemically administered oncolytic vaccinia virus could be combined with targeted ionizing radiation for therapeutic gain. In this work we show how focal ionizing radiation (IR) can be combined with multiple systemically delivered oncolytic vaccinia virus strains in murine models of human U-87 glioma. After initial experiments which confirmed that ionizing radiation does not damage viral DNA or alter viral tropism, animal studies were carried out to analyze the interaction of vaccinia virus and ionizing radiation in the in vivo setting. We found that irradiation of the tumor target, prior to systemic administration of oncolytic vaccinia virus GLV-1h68, increased viral replication within the U-87 xenografts as measured by viral reporter gene expression and viral titers. Importantly, while GLV-1h68 alone had minimal effect on U-87 tumor growth delay, IR enhanced GLV-1h68 replication, which translated to increased tumor growth delay and mouse survival in subcutaneous and orthotopic U-87 glioma murine models compared to monotherapy with IR or GLV-1h68. The ability of IR to enhance vaccinia replication was not restricted to the multi-mutated GLV-1h68, but was also seen with the less attenuated oncolytic vaccinia, LIVP 1.1.1. We have demonstrated that in animals treated with combination of ionizing radiation and LIVP 1.1.1 a strong pro-inflammatory tissue response was induced. When IR was given in a more clinically relevant fractionated scheme, we found oncolytic vaccinia virus replication also increased. This indicates that vaccinia virus could be incorporated into either larger hypo-fraction or more conventionally fractionated radiotherapy schemes. The ability of focal IR to mediate selective replication of systemically injected oncolytic vaccinia was demonstrated in a bilateral glioma model. In mice with bilateral U-87 tumors in both hindlimbs, systemically administered oncolytic vaccinia replicated preferentially in the focally irradiated tumor compared to the shielded non- irradiated tumor in the same mouse We demonstrated that tumor control could be further improved when fractionated focal ionizing radiation was combined with a vaccinia virus caring an anti-angiogenic payload targeting vascular endothelial growth factor (VEGF). Our studies showed that following ionizing radiation expression of VEGF is upregulated in U-87 glioma cells in culture. We further showed a concentration dependent increase in radioresistance of human endothelial cells in presence of VEGF. Interestingly, we found effects of vascular endothelial growth factor on endothelial cells were reversible by adding purified GLAF-1 to the cells. GLAF-1 is a single- chain antibody targeting human and murine VEGF and is expressed by oncolytic vaccinia virus GLV-109. In U-87 glioma xenograft murine models the combination of fractionated ionizing radiation with GLV-1h164, a vaccinia virus also targeting VEGF, resulted in the best volumetric tumor response and a drastic decrease in vascular endothelial growth factor. Histological analysis of embedded tumor sections 14 days after viral administration confirmed that blocking VEGF translated into a decrease in vessel number to 30% of vessel number found in control tumors in animals treated with GLV-164 and fractionated IR which was lower than for all other treatment groups. Our experiments with GLV-1h164 and fractionated radiotherapy have shown that in addition to ionizing radiation and viral induced tumor cell destruction we were able to effectively target the tumor vasculature. This was achieved by enhanced viral replication translating in increased levels of GLAF-2 disrupting tumor vessels as well as the radiosensitization of tumor vasculature to IR by blocking VEGF. Our preclinical results have important clinical implications of how focal radiotherapy can be combined with systemic oncolytic viral administration for highly aggressive, locally advanced tumors with the potential, by using a vaccinia virus targeting human vascular endothelial growth factor, to further increase tumor radiation sensitivity by engaging the vascular component in addition to cancer cells.
In this PhD thesis, the fingerprints of geometry and topology on low dimensional mesoscopic systems are investigated. In particular, holographic non-equilibrium transport properties of the quantum spin Hall phase, a two dimensional time reversal symmetric bulk insulating phase featuring one dimensional gapless helical edge modes are studied. In these metallic helical edge states, the spin and the direction of motion of the charge carriers are locked to each other and counter-propagating states at the same energy are conjugated by time reversal symmetry. This phenomenology entails a so called topological protection against elastic single particle backscattering by time reversal symmetry. We investigate the limitations of this topological protection by studying the influence of inelastic processes as induced by the interplay of phonons and extrinsic spin orbit interaction and by taking into account multi electron processes due to electron-electron interaction, respectively. Furthermore, we propose possible spintronics applications that rely on a spin charge duality that is uniquely associated with the quantum spin Hall phase. This duality is present in the composite system of two helical edge states with opposite helicity as realized on the two opposite edges of a quantum spin Hall sample with ribbon geometry. More conceptually speaking, the quantum spin Hall phase is the first experimentally realized example of a symmetry protected topological state of matter, a non-interacting insulating band structure which preserves an anti-unitary symmetry and is topologically distinct from a trivial insulator in the same symmetry class with totally localized and hence independent atomic orbitals. In the first part of this thesis, the reader is provided with a fairly self-contained introduction into the theoretical concepts underlying the timely research field of topological states of matter. In this context, the topological invariants characterizing these novel states are viewed as global analogues of the geometric phase associated with a cyclic adiabatic evolution. Whereas the detailed discussion of the topological invariants is necessary to gain deeper insight into the nature of the quantum spin Hall effect and related physical phenomena, the non-Abelian version of the local geometric phase is employed in a proposal for holonomic quantum computing with spin qubits in quantum dots.
Acute graft-versus-host disease (aGvHD) is an immune syndrome associated with allogeneic hematopoietic cell transplantation (allo-HCT) that is mediated by alloreactive donor T cells attacking the gastrointestinal tract, liver, and skin of the host. Early diagnosis remains problematic and to date mainly relies on clinical symptoms and histopathology. Previously, different groups demonstrated that in order to cause aGvHD, alloreactive T cells require the expression of appropriate homing receptors to efficiently migrate from their priming sites to their target tissues. Therefore, the development of a predictive test based on the homing receptor expression profile of peripheral blood T cells seems attractive to identify patients at risk before the onset of aGvHD. The aim of this study was to analyze migrating alloreactive donor T cell kinetics in the peripheral blood early after allo-HCT in a murine model across minor histocompatibility antigens (miHAg) followed by a precise characterization of the homing receptor expression profile of migrating donor lymphocytes in order to identify suitable predictive markers. Combining daily bioluminescence imaging (BLI) and flow cytometry (FC) allowed defining two weeks of massive alloreactive donor T cell migration before clinical aGvHD symptoms became apparent. Peripheral blood donor T lymphocytes highly up-regulated the homing markers α4β7 integrin, and P- and E-selectin-ligand at peak time points of cell migration. The combination with the activation markers CD25 and CD69 and low expression levels of L-selectin allowed alloreactive donor T cell definition. Based on this migration phase we postulated a potential diagnostic window to precisely identify alloreactive donor T cells upon their homing receptor expression profile. Consequently, targeted pre-emptive treatment with rapamycin starting at the earliest detection time point of alloreactive donor T cells in the peripheral blood (day+6) significantly prolonged survival of treated mice. Based on this data, we propose a potential diagnostic window for alloreactive cell detection based on their homing receptor expression profile for a timely and effective therapeutic intervention before the clinical manifestation of aGvHD.
Within the scope of this thesis two main topics have been investigated: the examination of micromagnetic sensors and transport of massive and massless Dirac fermions in HgTe quantum wells. For the investigation of localized, inhomogeneous magnetic fields, the fabrication and characterization of two different non-invasive and ultra sensitive sensors has been established at the chair ”Experimentelle Physik” of the University of Würzburg. The first sensor is based on the young technique named micro-Hall magnetometry. The necessary semiconductor devices (Hall cross structures) were fabricated by high-resolution electron beam lithography based on two different two dimensional electron gases (2DEGs), namely InAs/(Al,Ga)Sb- and HgTe/(Hg,Cd)Te- heterostructures. The characteristics have been examined in two different ways. Measurements in homogeneous magnetic fields served for characterization of the sensors, whereas the investigation of artificially produced sub-µm magnets substantiates the suitability of the devices for the study of novel nanoscale magnetic materials (e.g. nanowires). Systematic experiments with various magnets are in accordance with the theory of single-domain particles and anisotropic behavior due to shapes with high aspect ratio. The highest sensitivity for strongly localized fields was obtained at T = 4.2 K for a (200x200) nm^2 Hall cross - made from shallow, high mobility HgTe 2DEG. Although the field resolution was merely δB ≈ 100 µT, the nanoscale sensor size yields an outstanding flux resolution of δΦ = 2 10^(−3) Φ0, where Φ0 = h/2e is the flux quantum. Translating this result in terms of magnetic moment, the sensitivity allows for the detection of magnetization changes of a particle centered on top of the sensor as low as δM ≈ 10^2 µB, with the magnetic moment of a single electron µB, the Bohr magneton. The further examination of a permalloy nanomagnet with a cross-section of (100x20) nm^2 confirms the expected resolution ability, extracted from the noise of the sensor. The observed high signal-to-noise ratio validates the detection limit of this sensor in terms of geometry. This would be reached for a magnet (same material) with quadratic cross-section for an edge length of 3.3 nm. Moreover, the feasibility of this sensor for operation in a wide temperature range (T = mK... > 200 K) and high magnetic fields has been confirmed. The second micromagnetic sensor is the micro-SQUID (micro-Superconducting-QUantum-Interference-Device) based on niobium. The typical sensor area of the devices built in this work was (1.0x1.0) µm^2, with constrictions of about 20 nm. The characterization of this device demonstrates an amazing field sensitivity (regarding its size) of δB < 1 µT. Even though the sensor was 25 times larger than the best micro-Hall sensor, it provided an excellent flux resolution in the order of δΦ ≈ 5 10^(−4) Φ0 and a similar magnetic moment resolution of δM ≈ 10^2 µB. Furthermore, the introduction of an ellipsoidal permalloy magnet (axes: 200 nm and 400 nm, thickness 30 nm) substantiates the suitability for the detection of minuscule, localized magnetic fields. The second part of the thesis deals with the peculiar transport properties of HgTe quantum wells. These rely on the linear contribution to the band structure inherent to the heterostructure. Therefore the system can be described by an effective Dirac Hamiltonian, whose Dirac mass is tunable by the variation of the quantum well thickness. By fabrication and characterization of a systematical series of substrates, a system with vanishing Dirac mass (zero energy gap) has been confirmed. This heterostructure therefore resembles graphene (a monolayer of graphite), with the difference of exhibiting only one valley in the energy dispersion of the Brillouin zone. Thus parasitical intervalley scattering cannot occur. The existence of this system has been proven by the agreement of theoretical predictions, based on widely accepted band structure calculations with the experiment (Landau level dispersion, conductivity). Furthermore, another particularity of the band structure - the transition from linear to parabolic character - has been illustrated by the widths of the plateaus in the quantum Hall effect. Finally, the transport of ”massive” Dirac fermions (with finite Dirac mass) is investigated. In particular the describing Dirac Hamiltonian induces weak localization effects depending on the Dirac mass. This mechanism has not been observed to date, and survives in higher temperatures compared to typical localization mechanisms.
Non–Small-Cell Lung Cancer (NSCLC) is the most frequent human lung cancer and a major cause of death due to its high rate of metastasis1. These facts emphasize the urgent need for the investigation of new targets for anti-metastatic therapy. Up to now a number of genes and gene products have been identified that positively or negatively affect the probability of established human tumor cell lines to metastasize2. Previously, together with the group of Professor Ulf Rapp, we have described the first conditional mouse model for metastasis of NSCLC and identified a gene, c-MYC, that is able to orchestrate all steps of this process. We could identify potential markers for detection of metastasis and highlighted GATA4, which is exclusively expressed during lung development, as a target for future therapeutic intervention2. However, the mechanism underlying this metastatic conversion remained to be identified, and was therefore the focus of the present work. Here, GATA4 is identified as a MYC target in the development of metastasis and epigenetic alterations at the GATA4 promoter level are shown after MYC expression in NSCLC in vivo and in vitro. Such alterations include site-specific demethylation that accompanies the displacement of the MYC-associated zinc finger protein (MAZ) from the GATA4 promoter, which leads to GATA4 expression. Histone modification analysis of the GATA4 promoter revealed a switch from repressive histone marks to active histone marks after MYC binding, which corresponds to active GATA4 expression. This work identifies a novel epigenetic mechanism by which MYC activates GATA4 leading to metastasis in NSCLC, suggesting novel potential targets for the development of anti-metastatic therapy.
A metacommunity approach will be a useful framework to assess and predict changes in biodiversity in spatially structured landscapes and changing environments. However, the relationship between two core elements of metacommunity dynamics, dispersal and species interaction are not well understood. Most theoretical studies on dispersal evolution assume that target species are in isolation and do not interact with other species although the species interactions and community structure should have strong interdependence with dispersal. On the one hand, a species interaction can change the cost and benefit structure of dispersing in relation to non-dispersing individuals. On the other hand, with dispersal, an individual can follow respectively avoid species partners. Moreover, it is also important to explore the interdependence between dispersal and species interaction with spatial and temporal heterogeneity of environment because it would allow us to gain more understanding about responses of community to disturbances such as habitat destruction or global climate change, and this aspect is up to now not well-studied. In this thesis, I focus on the interactive and evolutionary feedback effects between dispersal and various types of interspecific interactions in different environmental settings. More specifically, I contrast dispersal evolution in scenarios with different types of interactions (chapter 2), explore the concurrent evolution of dispersal and habitat niche width (specialization) in spatial heterogeneous landscape (chapter 3) and consider (potential) multidimensional evolutionary responses under climate change (chapter 4). Moreover, I investigate consequences of different dispersal probability and group tolerance on group formation respectively group composition and the coexistence of ‘marker types’ (chapter 5). For all studies, I utilize individual-based models of single or multiple species within spatially explicit (grid-based) landscapes. In chapter 5, I also use an analytical model in addition to an individual-based model to predict phenomenon in group recognition and group formation. ...
Animals need to evaluate their experiences in order to cope with new situations they encounter. This requires the ability of learning and memory. Drosophila melanogaster lends itself as an animal model for such research because elaborate genetic techniques are available. Drosphila larva even saves cellular redundancy in parts of its nervous system. My Thesis has two parts dealing with associative olfactory learning in larval Drosophila. Firstly, I tackle the question of odour processing in respect to odour quality and intensity. Secondly, by focusing on the evolutionarily conserved presynaptic protein Synapsin, olfactory learning on the cellular and molecular level is investigated. Part I.1. provides a behaviour-based estimate of odour similarity in larval Drosophila by using four recognition-type experiments to result in a combined, task-independent estimate of perceived difference between odour-pairs. A further comparison of these combined perceived differences to published calculations of physico-chemical difference reveals a weak correlation between perceptual and physico-chemical similarity. Part I.2. focuses on how odour intensity is interpreted in the process of olfactory learning in larval Drosophila. First, the dose-effect curves of learnability across odour intensities are described in order to choose odour intensities such that larvae are trained at intermediate odour intensity, but tested for retention either with that trained intermediate odour intensity, or with respectively HIGHer or LOWer intensities. A specificity of retention for the trained intensity is observed for all the odours used. Such intensity specificity of learning adds to appreciate the richness in 'content' of olfactory memory traces, and to define the demands on computational models of associative olfactory memory trace formation. In part II.1. of the thesis, the cellular site and molecular mode of Synapsin function is investigated- an evolutionarily conserved, presynaptic vesicular phosphoprotein. On the cellular level, the study shows a Synapsin-dependent memory trace in the mushroom bodies, a third-order “cortical” brain region of the insects; on the molecular level, Synapsin engages as a downstream element of the AC-cAMP-PKA signalling cascade.
In this thesis the Drosophila mutant loechrig (loe), that shows progressive degeneration of the nervous system, is further described. Loe is missing a neuronal isoform of the protein kinase AMPK γ subunit (AMP-activated protein kinase- also known as SNF4Aγ) The heterotrimeric AMPK controls the energy level of the cell, which requires constant monitoring of the ATP/AMP levels. It is activated by low energy levels and metabolic insults like oxygen starvation and regulates multiple important signal pathways that control cell metabolism. Still, its role in neuronal survival is unclear. One of AMPK’s downstream targets is HMGR (hydroxymethylglutaryl-CoA- reductase), a key enzyme in cholesterol and isoprenoid synthesis. It has been shown that manipulating the levels of HMGR affects the severity of the neurodegenerative phenotype in loe. Whereas the regulatory role of AMPK on HMGR is conserved in Drosophila, insects cannot synthesize cholesterol de novo. However, the synthesis of isoprenoids is a pathway that is evolutionarily conserved between vertebrates and insects. Isoprenylation of target proteins like small G-proteins provides a hydrophobic anchor that allows the association of these proteins with membranes and following activation. This thesis shows that the loe mutation interferes with the prenylation of Rho1 and the regulation of the LIM kinase pathway, which plays an important role in actin turnover and axonal outgrowth. The results suggest that the mutation in LOE, causes hyperactivity of the isoprenoid synthesis pathway, which leads to increased farnesylation of RHO1 and therefore higher levels of phospho-cofilin. A mutation in Rho1 improves the neurodegenerative phenotype and life span. The increased inactive cofilin amount in loe leads to an up regulation of filamentous actin. Actin is involved in neuronal outgrowth and experiments analyzing loe neurons gave valuable insights into a possible role of AMPK and accordingly actin on neurite growth and stability. It was demonstrated that neurons derived from loe mutants exhibit reduces axonal transport suggesting that changes in the cytoskeletal network caused by the effect of loe on the Rho1 pathway lead to disruptions in axonal transport and subsequent neuronal death. It also shows that actin is not only involved in neuronal outgrowth, its also important in maintenance of neurons, suggesting that interference with actin dynamics leads to progressive degeneration of neurons. Together, these results further support the importance of AMPK in neuronal function and survival and provide a novel functional mechanisms how alterations in AMPK can cause neuronal degeneration
Protection of healthy tissues from infection with systemically administered vaccinia virus strains
(2012)
Oncolytic virotherapy using recombinant vaccinia virus strains is a promising approach for the treatment of cancer. To further improve the safety of oncolytic vaccinia viruses, the cellular microRNA machinery can be applied as the host’s own security mechanism to avoid unwanted viral replication in healthy tissues. MicroRNAs are a class of small single-stranded RNAs which due to their ability to mediate post-transcriptional gene-silencing, play a crucial role in almost every regulatory process in cellular metabolism. Different cancers display unique microRNA expression patterns, showing significant up- or downregulation of endogenously expressed microRNAs. Furthermore, the behavior of cancer cells can be altered by either adding microRNAs known to inhibit cancer cell spread and proliferation or suppressing cancer promoting microRNAs (oncomirs) making microRNAs promising targets for cancer gene therapy. The cell’s own RNAi machinery can also be utilized to control viral replication due to the virus dependence on the host cell replication machinery, a process controlled by microRNAs. GLV-1h68 is a replication-competent recombinant oncolytic vaccinia virus constructed and generated by Genelux Corp., San Diego, CA, USA which carries insertions of three reporter gene cassettes for detection and attenuation purposes and is currently being evaluated for cancer treatment in clinical trials. Though there are hardly any side effects found in GLV-1h68 mediated oncolytic therapy an increased tropism for replication exclusively in cancer cells is desirable. Therefore it was investigated whether or not further cancer cell specificity of a recombinant vaccinia virus strain could be obtained without compromising its oncolytic activity using microRNA interference. Let-7a is a well characterized microRNA known to be expressed in high levels in healthy tissues and strongly downregulated in most cancers. To control vaccinia virus replication rates, four copies of the mature human microRNA let-7a target sequence were cloned behind the stop codon in the 3’end of the vaccinia virus D4R gene, using a GLV-1h68 derivative, GLV-1h190, as parental strain yielding the new recombinant virus strain GLV-1h250. The D4R gene belongs to the group of early transcribed vaccinia genes and encodes an essential enzyme, uracil DNA glycosylase, which catalyzes the removal of uracil residues from double-stranded DNA. A defect in D4R prevents vaccinia virus from entering into the intermediate and late phase of replication, leading to an aborted virus replication. After expression of the microRNA target sequence from the vaccinia virus genome, the endogenously expressed microRNA-let-7a should recognize its target structure within the viral mRNA transcript, thereby binding and degrading the viral mRNA which should lead to a strong inhibition of the virus replication in healthy cells. GLV-1h250 replication rates in cancerous A549 lung adenocarcinoma cells, which show a strong down-regulation of microRNA let-7a, was comparable to the replication rates of its parental strain GLV-1h190 and the control strain GLV-1h68. In contrast, GLV-1h250 displayed a 10-fold decrease in viral replication in non-cancerous ERC cells when compared to GLV-1h190 and GLV-1h68. In A549 tumor bearing nude mice GLV-1h250 replicated exclusively in the tumorous tissue and resulted in efficient tumor regression without adverse effects leading to the conclusion that GLV-1h250 replicates preferentially in cancerous cells and tissues, which display low endogenous let-7a expression levels.