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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.
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.
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.
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.
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.
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. ...
Das menschliche Genom verschlüsselt 30000 bis 40000 Proteine, von denen ein Großteil kovalent gebundene Karbohydrat-Gruppen an Asparagin-, Serin-, Threonin- oder Hydroxylysin-Resten trägt. Diese sogenannten Glykoproteine sind allgegenwärtige Bestandteile der extrazellulären Matrix von Zelloberflächen. Sie steuern Zell-Zell- und Zell-Matrix-Kommunikationen, können bei der roteinfaltung helfen bzw. die Proteinstabilität erhöhen oder Immunantworten regulieren. Die Auslösung von biologischen Prozesse erfordert aber Übersetzer der zuckerbasierten Informationen. Solche Effektoren sind die Lektine, unter ihnen auch die Galektine. Galektine binden spezifisch β-Galaktosen, weisen strukturelle Übereinstimmungen in der Aminosäuresequenz ihrer Zuckererkennungsdomänen (CRDs) auf und zeigen ein „jelly-roll“-Faltungsmuster, bestehend aus einem β-Sandwich mit zwei antiparallelen Faltblättern. Strukturell werden die CRDs in drei verschiedenen, topologischen Formen präsentiert. Proto-Typen existieren als nicht-kovalent verknüpfte Dimere der CRDs, Chimera-Typen besitzen neben der CRD eine Nicht-Lektin-Domäne und bei den Tandem-Repeat-Typen sind zwei verschiedene CRDs über ein kurzes Linker-Peptid kovalent verbunden. Galektine werden sowohl in normalem wie auch pathogenem Gewebe exprimiert und das zunehmende Wissen über die Beteiligung an verschiedenen Krankheiten und Tumorwachstum liefert die Motivation, strukturelle Aspekte und die Vernetzung von Lektinen detailliert, insbesondere im Hinblick auf ihre intrafamiliären Unterschiede, zu untersuchen. Durch die Kombination verschiedener Spektroskopie-Techniken mit hoher zeitlicher und räumlicher Auflösung, basierend auf der Verwendung von Fluorophoren (intrinsisch und extrinsisch), werden in dieser Arbeit die Eigenschaften von Galektinen näher untersucht. Mit Fluoreszenz-Korrelations-Spektroskopie (FCS) und Anisotropie-Messungen wird gezeigt, dass eine Liganden-Bindung bei Proto-Typ-Galektinen mit einer Verringerung des hydrodynamischen Radius einhergeht. Bei Tandem-Repeat- und Chimera-Typen bleibt der Radius konstant. Dafür skaliert die Diffusionskonstante von Tandem-Repeat-Typen anormal mit der molaren Masse. Die Anisotropie-Messungen werden parallel zu den FCS-Messungen durchgeführt, um einen Einfluss des Fluoreszenzmarkers auszuschließen. Mit Hilfe dieser Technik wird außerdem gezeigt, dass unterschiedliche Dissoziationskonstanten und Kinetiken für den Bindungsprozess innerhalb der Proto-Typ-Gruppe möglichweise auf unterschiedliche Konformationsdynamiken zurückgehen. Der Vergleich von hGal-1 und cG-1B verdeutlicht, dass strukturelle Ähnlichkeiten zwar ein identisches Bindungsverhalten hervorrufen können, der Oxidationsprozess der Proteine aber unterschiedlich ablaufen kann. Beide Methoden können so als sehr sensitive Techniken zur Untersuchung von Strukturmerkmalen bei Galektinen etabliert werden, wobei die Übertragbarkeit auf andere Glykoproteine gewährleistet ist. Weiterhin gilt Quervernetzung als eine der wichtigsten Eigenschaften von Galektinen, da durch die Vernetzung von Glykoproteinen auf der Zelloberfläche Signalwege aktiviert und Immunantworten reguliert werden. Um die räumliche organisation und Quervernetzung von hGal-1 auf den Oberflächen von Neuroblastomzellen nachzuweisen, eignet sich das hochauflösende Mikroskopieverfahren dSTORM sehr gut. Durch Verwendung des photoschaltbaren Fluorophors Alexa647 als spezifischem Marker für hGal-1, einem Standard-Weitfeld-Aufbau und verschiedenen Analyseverfahren, kann eine Clusterformation von hGal-1 auf der Zelloberfläche bestätigt werden. hGal-1 bildet Cluster mit einem mittleren Durchmesser von 81±7 nm aus. Der Durchmesser ist unabhängig von der Konzentration, während die Anzahl der Cluster davon abhängt. Für die Clusterausbildung ist ein Startpunkt, also eine minimale Dichte der Galektin-Moleküle, notwendig. Durch Blockierung der CRDs mit Laktose wird die Clusterbildung unterdrückt und die Spezifität der CRDs gegenüber β-Galaktosen erneut herausgestellt. Anders als dimeres hGal-1 binden Monomere deutlich schlechter an die Membranrezeptoren. Es werden keine Cluster ausgebildet, eine Quervernetzung von Membranrezeptoren ist nicht möglich. Außerdem kann es durch die Monomere zu einer vollständigen Markierung und damit Abkugellung der Zellen kommen. Möglicherweise wird der Zelltod induziert. Hochauflösende Mikroskopieverfahren sind durch den Markierungsprozess limitiert. Die bioorthogonale Click-Chemie eröffnet jedoch neue Möglichkeiten zur Markierung und Visualisierung von Biomolekülen, ohne die Notwenigkeit genetischer Manipulationen. Es werden modifizierte Zuckermoleküle in die Zellmembranen eingebaut, über eine 1,3-polare Cycloaddition mit einem Alkin markiert und ihre Verteilung mit Hilfe von dSTORM untersucht. Es wird nachgewiesen, dass die Zuckermoleküle in Clustern auftreten und Click-Chemie trotz dem Katalysator Kupfer an lebenden Zellen durchführbar ist. Die Bewegung der Gesamtcluster wird mittels Mean Square Displacement aufgeschlüsselt und eine Diffusionskonstante für Cluster im Bereich von 40 - 250 nm bestimmt. Zusammenfassend stellt die Kombination verschiedener Spektroskopie-Techniken ein gutes Werkzeug zur Untersuchung von Karbohydrat-bindendenden Proteinen mit hoher räumlicher und zeitlicher Auflösung dar und ermöglicht einen neuen Einblick in die Biologie der Galektine.
Das Arbeitsgebiet Tissue Engineering befasst sich mit der Klärung der Mechanismen, die der Funktionen verschiedener Gewebearten zu Grunde liegen sowie mit der Entwicklung alternativer Strategien zur Behandlung von Organversagen bzw. Organverlusten. Einer der kritischsten Punkte im Tissue Engineering ist die ausreichende Versorgung der Zellen mit Nährstoffen und Sauerstoff. Bioartifizielle Gewebe mit einer Dicke von bis zu 200 µm können mittels Diffusion ausreichend versorgt werden. Für dickere Transplantate ist die Versorgung der Zellen alleine durch Diffusion jedoch nicht gegeben. Hierfür müssen Mechanismen und Strategien zur Prävaskularisierung der artifiziellen Gewebekonstrukte entwickelt werden, damit die Nährstoff- und Sauerstoffversorgung aller Zellen, auch im Inneren des Transplantates, von Anfang an gewährleistet ist. Eine wichtige Rolle bei der Prävaskularisierung spielt die Angiogenese. Dabei ist die Wahl einer geeigneten Zellquelle entscheidend, da die Zellen die Basis für die Angiogenese darstellen. Mikrovaskuläre Endothelzellen (mvEZ) sind maßgeblich an der Angiogenese beteiligt. Das Problem bei der Verwendung von humanen primären mvEZ ist ihre geringe Verfügbarkeit, ihre limitierte Proliferationskapazität und der schnelle Verlust ihrer typischen Endothelzellmarker in-vitro. Der Aufbau standardisierter in-vitro Testsysteme ist durch die geringe Zellausbeute auch nicht möglich. Die upcyte® Technologie bietet hierfür einen Lösungsansatz. In der vorliegenden Arbeit konnten upcyte® mvEZ als Alternative zu primären mvEZ generiert werden. Es konnte gezeigt werden, dass die Zellen eine erweiterte Proliferationsfähigkeit aufweisen und im Vergleich zu primären mvEZ durchschnittlich 15 zusätzliche Populationsverdopplungen leisten können. Dadurch ist es möglich 3x104-fach mehr upcyte® mvEZ eines Spenders zu generieren verglichen mit den korrespondierenden Primärzellen. Die gute und ausreichende Verfügbarkeit der Zellen macht sie interessant für die Standardisierung von in-vitro Testsystemen, ebenso können die Zellen zur Prävaskularisierung von Transplantaten eingesetzt werden. Upcyte® mvEZ zeigen zahlreiche Primärzellmerkmale, die in der Literatur beschrieben sind. Im konfluenten Zustand zeigen sie die für primäre mvEZ spezifische pflastersteinartige Morphologie. Darüber hinaus exprimieren upcyte® mvEZ typische Endothelzellmarker wie CD31, vWF, eNOS, CD105, CD146 und VEGFR-2 vergleichbar zu primären mvEZ. Eine weitere endothelzellspezifische Eigenschaft ist die Bindung von Ulex europaeus agglutinin I Lektin an die alpha-L-Fucose enthaltene Kohlenhydratstrukturen von mvEZs. Auch hier wurden upcyte® Zellen mit primären mvEZ verglichen und zeigten die hierfür charkteristischen Strukturen. Zusätzlich zu Morphologie, Proliferationskapazität und endothelzellspezifischen Markern, zeigen upcyte® mvEZ auch mehrere funktionelle Eigenschaften, welche in primären mvEZ beobachtet werden können, wie beispielsweise die Aufnahme von Dil-markiertem acetyliertem Low Density Lipoprotein (Dil-Ac-LDL) oder die Fähigkeit den Prozess der Angiognese zu unterstützen. Zusätzlich bilden Sphäroide aus upcyte® mvEZ dreidimensionale luminäre Zellformationen in einer Kollagenmatrix aus. Diese Charakteristika zeigen den quasi-primären Phänotyp der upcyte® mvEZs. Upcyte® mvEZ stellen darüber hinaus eine neuartige mögliche Zellquelle für die Generierung prävaskularisierter Trägermaterialien im Tissue Engineering dar. In der vorliegenden Arbeit konnte die Wiederbesiedlung der biologisch vaskularisierte Matrix (BioVaSc) mit upcyte® mvEZ vergleichbar zu primären mvEZ gezeigt werden. Der Einsatz von upcyte® mvEZ in der BioVaSc stellt einen neuen, vielversprechenden Ansatz zur Herstellung eines vaskularisierten Modells für Gewebekonstrukte dar, wie beispielsweise einem Leberkonstrukt. Zusammenfassend konnte in der vorliegenden Arbeit gezeigt werden, dass upcyte® mvEZ vergleichbar zu primären mvEZs sind und somit eine geeignete Alternative für die Generierung prävaskulierter Trägermaterialien und Aufbau von in-vitro Testsystemen darstellen. Darüber hinaus wurde ein neues, innovatives System für die Generierung einer perfundierten, mit Endothelzellen wiederbesiedelten Matrix für künstliches Gewebe in-vitro entwickelt.
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. ...
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.