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Primary contact with human polyomaviruses is followed by lifelong asymptomatic persistence of viral DNA. Under severe immunosuppression JCV activation may lead to unrestricted virus growth in the CNS followed by development of progressive multifocal leukoencephalopathy (PML). Besides the kidney and the brain, target cells of persistent infection were also found in the hematopoietic system. This included the presence of JCV genomes in peripheral blood cells (PBCs). In the attempt to understand the role of PBCs for the JCV infection in humans, we asked for the type of cells affected as well as for virus interaction with PBCs. Analysis of separated subpopulations by highly sensitive and specific polymerase chain reaction and Southern blot hybridization revealed the presence of JCV DNA mostly in circulating granulocytes. These cells have important functions in innate immunity and are professional phagocytes. This suggested that PCR amplified DNA might be the result of an extranuclear association of the virus due to membrane attachment or phagocytosis rather than JCV infection with presence of viral DNA in the nucleus. In the attempt to answer this question JCV DNA was subcellularly localized in the blood of 22 healthy donors by JCV specific fluorescence in situ hybridization (FISH). Granulocytes and peripheral blood mononuclear cells (PBMCs) were separated by Percoll gradient centrifugation. Intracellular JCV DNA was hybridized with Digoxigenin-labeled JCV specific DNA probes covering half of the viral genome. As the sensitivity of the anti-digoxigenin antibody system was lower than the PCR detection level, a chemical amplification step was included consisting of peroxidase labeled secondary antibody precipitating biotinylated tyramide followed by detection with streptavidin-Texas-Red and fluorescence microscopy. Comparison of the number of cells affected in healthy individuals with 15 HIV-1 infected patients with and without PML revealed that the rate of affected PBMCs was comparable in both groups (2.5±0.4 and 14.5±0.9 per 1000). In contrast, the rate of JCV positive granulocytes in the immunosuppressed group was 92.6±1.7% compared to 4±1.4% in healthy donors thus confirming that granulocytes are the major group of circulating cells affected by JCV and that HIV-1 associated immune impairment has an important effect on the virus-cell association. Localization revealed that JCV DNA was predominantly located within the cytoplasm, although hybridizing signals occasionally covered the nuclear compartment. The fluorescent glow of chemical amplification combined with classical fluorescence microscopy did not allow an unequivocal localization of viral DNA. However, confocal microscopy of 24 sections through single cells combined with FISH without chemical amplification confirmed cytoplasmic localization of JCV DNA in a large number of cells. Additionally, it clearly demonstrated that JCV DNA was also located in the nucleus and nuclear localization directly correlated with the number of cells affected. Calculation of the virus load in subcellular compartments revealed that up to 50% of the JCV genomes were located in the nucleus thus pointing to viral infection at least in the granulocytes of HIV-1 infected patients. This may contribute to the distribution of the virus from sites of peripheral infection to the CNS and may promote the development of active PML in the severely immune impaired patients.
The actin cytoskeleton is essential for many cellular functions, such as the regulation of cell morphology, cell migration and vesicle transport processes. The functional diversity of actin structures is reflected in a variety of distinct molecular mechanisms regulating the polymerization of actin filaments. The spontaneous polymerization of actin however is inhibited, by both the instability of small actin oligomers and by actin monomer binding proteins, which prevent the formation of such oligomers. Actin nucleation factors help to overcome this kinetic barrier of filament initiation and are essential for the generation of novel actin filaments at specified subcellular compartments. Spir proteins are the founding members of the novel class of WH2 domain containing actin nucleation factors. They initiate actin polymerization by binding of actin monomers to four WH2 domains in the central part of the protein. Despite their ability to nucleate actin polymerization in vitro by themselves, Spir proteins form a regulatory complex with the distinct actin nucleators of the formin subgroup of formins. Spir functions in the regulation of vesicular originated filamentous actin structures, vesicle transport processes and the assembly of the cleavage furrow during asymmetric meiotic cell divisions. The mammalian genome encodes two spir genes, spir-1 and spir-2. The corresponding proteins have an identical structural array and share a high degree of homology. In order to elucidate the Spir function in developing and adult mouse tissues, the yet unknown expression of the mouse spir-2 gene was addressed. Real-time PCR analysis revealed highest expression of spir-2 in oocytes, the brain, throughout the gastrointestinal tract, testis and kidney of adult mice. In situ hybridizations were performed to substantiate the cellular nature of spir gene expression. During embryogenesis in situ hybridizations show spir-2 to be expressed in the developing nervous system and intestine. In adult mouse tissues highest expression of spir-2 was detected in the epithelial cells of the digestive tract, in neuronal cells of the nervous system and in spermatocytes. In contrast to the more restricted expression of the mouse spir-1 gene, which is mainly found in the nervous system, oocytes and testis, the data presented here show a distinct and broader expression pattern of the spir-2 gene and by this support a more general cell biological function of the novel actin nucleators. In order to address the function of Spir proteins in the developing and adult nervous system, Spir-1 deficient mice were generated by a gene trap method. Spir-1 deficient mice are viable and provide a perfect tool to address the neurobiological function of the Spir-1 protein. Analyses of primary cortical neurons from Spir-1 deficient mice revealed a specific reduction of dendritic branchpoints and are the first description of a neuronal Spir-1 function. Further, a transgenic mouse line (thy1-GFP-M) was employed that expresses the green fluorescent protein (GFP) under the control of neuron specific elements from the thy1 promoter. GFP is thereby expressed in only a subset of neurons and labels the neurons in their entirety. Spir-1 deficient mice carrying the GFP transgene were generated and analyzed. It was found that Spir-1 deficient mice exhibit a reduced number of dendritic spines in the entorhinal cortex compared to wildtype littermates. All together this study gives novel information about the cell biological function of Spir and provides insights how cytoskeletal functions structure the mammalian neuronal network.
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.
Computer Science approaches (software, database, management systems) are powerful tools to boost research. Here they are applied to metabolic modelling in infections as well as health care management. Starting from a comparative analysis this thesis shows own steps and examples towards improvement in metabolic modelling software and health data management. In section 2, new experimental data on metabolites and enzymes induce high interest in metabolic modelling including metabolic flux calculations. Data analysis of metabolites, calculation of metabolic fluxes, pathways and their condition-specific strengths is now possible by an advantageous combination of specific software. How can available software for metabolic modelling be improved from a computational point of view? A number of available and well established software solutions are first discussed individually. This includes information on software origin, capabilities, development and used methodology. Performance information is obtained for the compared software using provided example data sets. A feature based comparison shows limitations and advantages of the compared software for specific tasks in metabolic modeling. Often found limitations include third party software dependence, no comprehensive database management and no standard format for data input and output. Graphical visualization can be improved for complex data visualization and at the web based graphical interface. Other areas for development are platform independency, product line architecture, data standardization, open source movement and new methodologies. The comparison shows clearly space for further software application development including steps towards an optimal user friendly graphical user interface, platform independence, database management system and third party independence especially in the case of desktop applications. The found limitations are not limited to the software compared and are of course also actively tackled in some of the most recent developments. Other improvements should aim at generality and standard data input formats, improved visualization of not only the input data set but also analyzed results. We hope, with the implementation of these suggestions, metabolic software applications will become more professional, cheap, reliable and attractive for the user. Nevertheless, keeping these inherent limitations in mind, we are confident that the tools compared can be recommended for metabolic modeling for instance to model metabolic fluxes in bacteria or metabolic data analysis and studies in infection biology. ...
Ovarian cancer currently causes ~6,000 deaths per year in Germany alone. Since only palliative treatment is available for ovarian carcinomas that have developed resistance against platinum-based chemotherapy and paclitaxel, there is a pressing medical need for the development of new therapeutic approaches. As survival is strongly influenced by immunological parameters, immunotherapeutic strategies appear promising. The research of our group thus aims at overcoming tumour immune escape by counteracting immunosuppressive mechanisms in the tumour microenvironment. In this context, we found that tumour-infiltrating myeloid-derived suppressor cells (MDSC) or tumour associated macrophages (TAM) which are abundant in ovarian cancer express high levels of the enzyme 11β-hydroxysteroid dehydrogenase1 (11-HSD1). This oxido-reductase enzyme is essential for the conversion of biologically inactive cortisone into active cortisol. In line with this observation, high endogenous cortisol levels could be detected in serum, ascitic fluid and tumour exudates from ovarian cancer patients. Considering that cortisol exerts strong anti-inflammatory and immunosuppressive effects on immune cells, it appears likely that high endogenous cortisol levels contribute to immune escape in ovarian cancer. We thus hypothesised that local activation of endogenous glucocorticoids could suppress beneficial immune responses in the tumour microenvironment and thereby prevent a successful immunotherapy. To investigate the in vivo relevance of this postulated immune escape mechanism, irradiated PTENloxP/loxP loxP-Stop-loxP-krasG12D mice were reconstituted with hematopoietic stem cells from either glucocorticoid receptor (GR) expressing mice (GRloxP/loxP) or from mice with a T cell-specific glucocorticoid receptor knock-out (lck-Cre GRloxP/loxP) mice. In the host mice, the combination of a conditional PTEN knock-out with a latent oncogenic kras leads to tumour development when a Cre-encoding adenovirus is injected into the ovarian bursa. Using this model, mice that had been reconstituted with GC-insensitive T cells showed better intratumoural T cell infiltration than control mice that had received functionally unaltered GRloxP/loxP cells via adoptive transfer. However, tumour-infiltrating T cells mostly assumed a Foxp3+ (regulatory) phenotype and survival was even shortened in mice with cortisol-insensitive T cells. Thus, endogenous cortisol seems to inhibit immune cell infiltration in ovarian cancer, but productive anti-tumour immune responses might still be prevented by further factors from the tumour microenvironment. Thus, our data did not provide a sufficiently strong rationale to further pursue the antagonisation of glucocorticoid signalling in ovarian cancer patients, Moreover, glucocorticoids are frequently administered to cancer patients to reduce inflammation and swelling and to prevent chemotherapy-related toxic side effects like nausea or hypersensitivity reactions associated with paclitaxel therapy. Thus, we decided to address the question whether specific signalling pathways in innate immune cells, preferentially in NK cells, could still be activated even in the presence of GC. A careful investigation of the various activating NK cell receptors (i.e. NKp30, NKp44, NKp46), DNAM-1 and NKG2D) was thus performed which revealed that NKp30, NKp44 and NKG2D are all down-regulated by cortisol whereas NKp46 is actually induced by cortisol. Interestingly, NKp46 is the only known receptor that is strictly confined to NK cells. Its activation via crosslinking leads to cytokine release and activation of cytotoxic activity. Stimulation of NK cells via NKp46 may contribute to immune-mediated tumour destruction by triggering the lysis of tumour cells and by altering the cytokine pattern in the tumour microenvironment, thereby generating more favourable conditions for the recruitment of antigen-specific immune cells. Accordingly, our observation that even cortisol-treated NK cells can still be activated via NKp46 and CD2 might become valuable for the design of immunotherapies that can still be applied in the presence of endogenous or therapeutically administered glucocorticoids.
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.
Measuring and estimating biodiversity patterns is a fundamental task of the scientist working to support conservation and informmanagement decisions.Most biodiversity studies in temperate regions were often carried out over a very short period of time (e.g., a single season) and it is often—at least tacitly—assumed that these short-termfindings are representative of long-termgeneral patterns.However, should the studied biodiversity pattern in fact contain significant temporal dynamics, perhaps leading to contradictory conclusions. Here, we studied the seasonal diversity dynamics of arboreal spider communities dwelling in 216 European beeches (Fagus sylvatica L.) to assess the spider community composition in the following seasons: two cold seasons (I:November 2005–January 2006; II: February–April) and two warm seasons (III: May–July; IV: August–October). We show that the usually measured diversity of the warmseason community (IV: 58 estimated species) alone did not deliver a reliable image of the overall diversity present in these trees, and therefore, we recommend it should not be used for sampling protocols aimed at providing a full picture of a forest’s biodiversity in the temperate zones. In particular, when the additional samplings of other seasons (I, II, III) were included, the estimated species richness nearly doubled (108). Community I possessed the lowest diversity and evenness due to the harsh winter conditions: this community was comprised of one dominant species together with several species low in abundance. Similarity was lowest (38.6%) between seasonal communities I and III, indicating a significant species turnover due to recolonization, so that community III had the highest diversity. Finally, using nonparametric estimators, we found that further sampling in late winter (February–April) is most needed to complete our inventory. Our study clearly demonstrates that seasonal dynamics of communities should be taken into account when studying biodiversity patterns of spiders, and probably forest arthropods in general.
Background: Combination of oncolytic vaccinia virus therapy with conventional chemotherapy has shown promise for tumor therapy. However, side effects of chemotherapy including thrombocytopenia, still remain problematic. Methods: Here, we describe a novel approach to optimize combination therapy of oncolytic virus and chemotherapy utilizing virus-encoding hyper-IL-6, GLV-1h90, to reduce chemotherapy-associated side effects. Results: We showed that the hyper-IL-6 cytokine was successfully produced by GLV-1h90 and was functional both in cell culture as well as in tumor-bearing animals, in which the cytokine-producing vaccinia virus strain was well tolerated. When combined with the chemotherapeutic mitomycin C, the anti-tumor effect of the oncolytic virotherapy was significantly enhanced. Moreover, hyper-IL-6 expression greatly reduced the time interval during which the mice suffered from chemotherapy-induced thrombocytopenia. Conclusion: Therefore, future clinical application would benefit from careful investigation of additional cytokine treatment to reduce chemotherapy-induced side effects.
Oncolytic viruses refer to those that are able to eliminate malignancies by direct targeting and lysis of cancer cells, leaving non-cancerous tissues unharmed. Several oncolytic viruses including adenovirus strains, canine distemper virus and vaccinia virus strains have been used for canine cancer therapy in preclinical studies. However, in contrast to human studies, clinical trials with oncolytic viruses for canine cancer patients have not been reported. An ‘ideal’ virus has yet to be identified. This review is focused on the prospective use of oncolytic viruses in the treatment of canine tumors - a knowledge that will undoubtedly contribute to the development of oncolytic viral agents for canine cancer therapy in the future.
Background: Tardigrades are multicellular organisms, resistant to extreme environmental changes such as heat, drought, radiation and freezing. They outlast these conditions in an inactive form (tun) to escape damage to cellular structures and cell death. Tardigrades are apparently able to prevent or repair such damage and are therefore a crucial model organism for stress tolerance. Cultures of the tardigrade Milnesium tardigradum were dehydrated by removing the surrounding water to induce tun formation. During this process and the subsequent rehydration, metabolites were measured in a time series by GC-MS. Additionally expressed sequence tags are available, especially libraries generated from the active and inactive state. The aim of this integrated analysis is to trace changes in tardigrade metabolism and identify pathways responsible for their extreme resistance against physical stress. Results: In this study we propose a novel integrative approach for the analysis of metabolic networks to identify modules of joint shifts on the transcriptomic and metabolic levels. We derive a tardigrade-specific metabolic network represented as an undirected graph with 3,658 nodes (metabolites) and 4,378 edges (reactions). Time course metabolite profiles are used to score the network nodes showing a significant change over time. The edges are scored according to information on enzymes from the EST data. Using this combined information, we identify a key subnetwork (functional module) of concerted changes in metabolic pathways, specific for de- and rehydration. The module is enriched in reactions showing significant changes in metabolite levels and enzyme abundance during the transition. It resembles the cessation of a measurablemetabolism (e.g. glycolysis and amino acid anabolism) during the tun formation, the production of storage metabolites and bioprotectants, such as DNA stabilizers, and the generation of amino acids and cellular components from monosaccharides as carbon and energy source during rehydration. Conclusions: The functional module identifies relationships among changed metabolites (e.g. spermidine) and reactions and provides first insights into important altered metabolic pathways. With sparse and diverse data available, the presented integrated metabolite network approach is suitable to integrate all existing data and analyse it in a combined manner.