500 Naturwissenschaften und Mathematik
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- 646737 (1)
According to the “canonical” paradigm of GPCR signaling, agonist-bound GPCRs only signal to the downstream adenylyl cyclase enzyme when they are seated at the plasma membrane. Upon prolonged binding of an agonist, receptor internalization usually takes place, leading to the termination of this downstream signaling pathway and activation of alternative ones. However, a set of recent studies have shown that at least some GPCRs (e.g. thyroid stimulating hormone receptor) continue signaling to adenylyl cyclase after internalization. In this study, I aimed to investigate canonical signaling by internalized μ opioid receptors (MORs), which are Gi-coupled receptors, using a fluorescence resonance energy transfer (FRET) sensor for cyclic AMP (cAMP) known as Epac1-camps. My results show that the cyclic AMP inhibition signal induced by the binding of DAMGO, a MOR agonist, persists after agonist washout. We hypothesized that this persistent signal might come from internalized DAMGO-bound receptors located in the endosomal compartment. To test this hypothesis, I used dynasore and Dyngo 4a, two dynamin inhibitors that are known to prevent clathrin-mediated endocytosis. Interestingly, dynasore but not Dyngo 4a pretreatment largely blunted the response to MOR activation as well as to adenylyl cyclase activation with Forskolin (FSK). In addition, DAMGO-induced cAMP signal remained persistent even in the presence of 30 M Dyngo 4a. These results might point to a complex interplay between clathrin-mediated internalization and MOR signaling. Further experiments are required to elucidate the mechanisms underlying the persistent MOR signaling and to fully clarify whether MORs are capable of Gi signaling in the endosomal compartment.
Alveolar echinococcosis, which is caused by the metacestode stage of the small fox tapeworm Echinococcus multilocularis, is a severe zoonotic disease with limited treatment options. For a better understanding of cestode biology the genome of E. multilocularis, together with other cestode genomes, was sequenced previously. While a few studies were undertaken to explore the E. multilocularis transcriptome, a comprehensive exploration of global transcription profiles throughout life cycle stages is lacking. This work represents the so far most comprehensive analysis of the E. multilocularis transcriptome. Using RNA-Seq information from different life cycle stages and experimental conditions in three biological replicates, transcriptional differences were qualitatively and quantitatively explored. The analyzed datasets are based on samples of metacestodes cultivated under aerobic and anaerobic conditions as well as metacestodes obtained directly from infected jirds. Other samples are stem cell cultures at three different time points of development as well as non-activated and activated protoscoleces, the larval stage that can develop into adult worms. In addition, two datasets of metacestodes under experimental conditions suitable for the detection of genes that are expressed in stem cells, the so-called germinative cells, and one dataset from a siRNA experiment were analyzed. Analysis of these datasets led to expression profiles for all annotated genes, including genes that are expressed in the tegument of metacestodes and play a role in host-parasite interactions and modulation of the host's immune response. Gene expression profiles provide also further information about genes that might be responsible for the infiltrative growth of the parasite in the liver.
Furthermore, germinative cell-specific genes were identified. Germinative cells are the only proliferating cells in E. multilocularis and therefore of utmost importance for the development and growth of the parasite. Using a combination of germinative cell depletion and enrichment methods, genes with specific expression in germinative cells were identified. As expected, many of these genes are involved in translation, cell cycle regulation or DNA replication and repair. Also identified were transcription factors, many of which are involved in cell fate commitment. As an example, the gene encoding the telomerase reverse transcriptase (TERT) was studied further. Expression of E. multilocularis tert in germinative cells was confirmed experimentally. Cell culture experiments indicate that TERT is required for proliferation and development of the parasite, which makes TERT a potentially interesting drug target for chemotherapy of alveolar echinococcosis.
Germinative cell specific genes in E. multilocularis also include genes of densoviral origin. More than 20 individual densovirus loci with information for non-structural and structural densovirus proteins were identified in the E. multilocularis genome. Densoviral elements were also detected in many other cestode genomes. Genomic integration of these elements suggests that densovirus-based vectors might be suitable tools for genetic manipulation of tapeworms. Interestingly, only three of more than 20 densovirus loci in the E. multilocularis genome are expressed. Since the canonical piRNA pathway is lacking in cestodes, this raises the question about potential silencing mechanisms. Exploration of RNA-Seq information indicated natural antisense transcripts as a potential gene regulation mechanism in E. multilocularis. Preliminary experiments further suggest DNA-methylation, which was previously shown to occur in platyhelminthes, as an interesting avenue to explore in future.
The transcriptome datasets also contain information about genes that are expressed in differentiated cells, for example the serotonin transporter gene that is expressed in nerve cells. Cell culture experiments indicate that serotonin and serotonin transport play an important role in E. multilocularis proliferation, development and survival.
Overall, this work provides a comprehensive transcription data atlas throughout the E. multilocularis life cycle. Identification of germinative cell-specific genes and genes important for host-parasite interactions will greatly facilitate future research. A global overview of gene expression profiles will also aide in the detection of suitable drug targets and the development of new chemotherapeutics against alveolar echinococcosis.
Bevor ein zellbasiertes GTMP erstmalig beim Menschen angewendet werden kann, müssen verschiedene notwendige nicht-klinische Studien durchgeführt werden. Wichtig ist hier u.a. die Untersuchung der Biodistribution im Tiermodel. Diese umfasst die Verteilung, das Engraftment, die Persistenz, die Eliminierung und gegebenenfalls die Expansion der humanen Zellen in verschiedenen Organen, meistens im Mausmodel. Deshalb wurde eine qPCR-basierte Analysenmethode entwickelt, mit der humane genomische DNA innerhalb von muriner genomischer DNA bestimmt werden kann, und entsprechend den regulatorischen Richtlinien der European Medicines Agency und des International Council for Harmonisation validiert. Anschließend wurde diese Methode innerhalb einer präklinischen worst-case Szenario Biodistributionsstudie angewendet. Das Ziel dieser Studie war die Untersuchung des Biodistributionsprofils von genetisch modifizierten Blood Outgrowth Endothelial Cells von Hämophilie A Patienten 24 Stunden und sieben Tage nach intravenöser Applikation einer Dosis von 2x106 Zellen. Die Isolation, genetische Modifikation und die Expansion der Zellen sollte entsprechend den Richtlinien der Guten Herstellungspraxis durchgeführt werden. Hierbei ist die Auswahl und Anwendung geeigneter und essentieller Rohstoffe wichtig. Gleichermaßen ist die Durchführung einer definierten Qualitätskontrollstrategie notwendig und die Patientenzellen sollten nur innerhalb von nicht-klinischen Studien eingesetzt werden, wenn alle Akzeptanzkriterien erfüllt wurden. Die Validierung der qPCR-Methode zeigte eine hohe Genauigkeit, Präzision und Linearität innerhalb des Konzentrationsintervalls von 1:1x103 bis 1:1x106 humanen zu murinen Genomen. Bei Anwendung dieser Methode für die Biodistributionsstudie konnten nach 24 Stunden humane Genome in vier der acht untersuchten Mausorgane bestimmt werden. Nach sieben Tagen konnten in keinem der acht Organe humane Genome nachgewiesen werden...
The goal of this doctoral thesis is to identify appropriate methods for the estimation of connectivity and for measuring synchrony between spike trains from in vitro neuronal networks. Special focus is set on the parameter optimization, the suitability for massively parallel spike trains, and the consideration of the characteristics of real
recordings. Two new methods were developed in the course of the optimization which outperformed other methods from the literature. The first method “Total spiking probability edges” (TSPE) estimates the effective connectivity of two spike trains, based on the
cross-correlation and a subsequent analysis of the cross-correlogram. In addition to the estimation of the synaptic weight, a distinction between excitatory and inhibitory connections is possible. Compared to other methods, simulated neuronal networks could be estimated with higher accuracy, while being suitable for the analysis of massively parallel spike trains. The second method “Spike-contrast” measures the synchrony of parallel spike trains
with the advantage of automatically optimizing its time scale to the data. In contrast to other methods, which also adapt to the characteristics of the data, Spike-contrast is more robust to erroneous spike trains and significantly faster for large amounts of parallel spike trains. Moreover, a synchrony curve as a function of the time scale is generated by Spike-contrast. This optimization curve is a novel feature for the analysis of parallel spike trains.
Structural equation modeling (SEM) has been used and developed for decades across various domains and research fields such as, among others, psychology, sociology, and business research. Although no unique definition exists, SEM is best understood as the entirety of a set of related theories, mathematical models, methods, algorithms, and terminologies related to analyzing the relationships between theoretical entities -- so-called concepts --, their statistical representations -- referred to as constructs --, and observables -- usually called indicators, items or manifest variables.
This thesis is concerned with aspects of a particular strain of research within SEM -- namely, composite-based SEM. Composite-based SEM is defined as SEM involving linear compounds, i.e., linear combinations of observables when estimating parameters of interest.
The content of the thesis is based on a working paper (Chapter 2), a published refereed journal article (Chapter 3), a working paper that is, at the time of submission of this thesis, under review for publication (Chapter 4), and a steadily growing documentation that I am writing for the R package cSEM (Chapter 5). The cSEM package -- written by myself and my former colleague at the University of Wuerzburg, Florian Schuberth -- provides functions to estimate, analyze, assess, and test nonlinear, hierarchical and multigroup structural equation models using composite-based approaches and procedures.
In Chapter 1, I briefly discuss some of the key SEM terminology.
Chapter 2 is based on a working paper to be submitted to the Journal of Business Research titled “Assessing overall model fit of composite models in structural equation modeling”. The article is concerned with the topic of overall model fit assessment of the composite model. Three main contributions to the literature are made. First, we discuss the concept of model fit in SEM in general and composite-based SEM in particular. Second, we review common fit indices and explain if and how they can be applied to assess composite models. Third, we show that, if used for overall model fit assessment, the root mean square outer residual covariance (RMS_theta) is identical to another well-known index called the standardized root mean square residual (SRMR).
Chapter 3 is based on a journal article published in Internet Research called “Measurement error correlation within blocks of indicators in consistent partial least squares: Issues and remedies”. The article enhances consistent partial least squares (PLSc) to yield consistent parameter estimates for population models whose indicator blocks contain a subset of correlated measurement errors. This is achieved by modifying the correction for attenuation as originally applied by PLSc to include a priori assumptions on the structure of the measurement error correlations within blocks of indicators. To assess the efficacy of the modification, a Monte Carlo simulation is conducted. The paper is joint work with Florian Schuberth and Theo Dijkstra.
Chapter 4 is based on a journal article under review for publication in Industrial Management & Data Systems called “Estimating and testing second-order constructs using PLS-PM: the case of composites of composites”. The purpose of this article is threefold: (i) evaluate and compare common approaches to estimate models containing second-order constructs modeled as composites of composites, (ii) provide and statistically assess a two-step testing procedure to test the overall model fit of such models, and (iii) formulate recommendation for practitioners based on our findings. Moreover, a Monte Carlo simulation to compare the approaches in terms of Fisher consistency, estimated bias, and RMSE is conducted. The paper is joint work with Florian Schuberth and Jörg Henseler.
Die Calcineurin/NFAT-Signalkaskade spielt eine wichtige Rolle bei der Entwicklung einer kardialen Hypertrophie. Im Zytoplasma von Kardiomyozyten wird die Phosphatase Calcineurin nach Stimulierung der Zellen, z. B. durch Dehnungsreize, Angiotensin II (Ang II) oder Endothelin I (ET-1), und einen daraus folgenden intrazellulären Ca2+-Strom aktiviert. Dies führt zur Dephosphorylierung von NFAT und zu dessen nukleärer Translokation. In früheren Arbeiten von Ritter et al. wurden sowohl eine nukleäre Lokalisationssequenz (NLS) als auch eine nukleäre Exportsequenz (NES) innerhalb von Calcineurin identifiziert, die den Transport von Calcineurin zwischen dem Zytoplasma und dem Nukleus ermöglichen. Basierend auf diesen Ergebnissen wurde das Import Blocking Peptid (IBP) entwickelt. Dieses Peptid entspricht der NLS von Calcineurin und blockiert die Calcineurin-Bindungsstellen des Shuttleproteins (Karyopherins) Importin β1. So wird die Translokation von Calcineurin in den Nukleus unterbunden und die Signalkaskade zur Aktivierung von Hypertrophie-Genen in Kardiomyozyten unterbrochen. Dabei blieb die Phosphatase-Aktivität von Calcineurin unbeeinflusst. Eines der Ziele dieser Arbeit war, IBP weiter zu optimieren und den „proof of principle“ auch in vivo zu führen. Hierfür wurden u. a. ein geeignetes Lösungsmittel bestimmt (biokompatibel und an die Peptidcharakteristika angepasst), die Peptidstruktur modifiziert (Erhöhung der Spezifität/Wirksamkeit) und die erforderliche Dosis weiter eingegrenzt (Belastungs- und Kostenreduktion). Unter Verwendung einer TAMRA-markierten Wirkstoffvariante konnten der Weg des Peptids in Mäusen nachverfolgt und die Ausscheidung quantifiziert werden.
Aufbauend auf den Ergebnissen von Burkard et al., die die Entstehung einer konstitutiv-aktiven und nukleären Calcineurin-Isoform nach proteolytischer Spaltung durch Calpain nachwiesen, wurde die Rolle von Calcineurin im Zellkern genauer untersucht. Außerdem sollte die Frage beantwortet werden, wie (über Calcineurin?) die Herzmuskelzelle zwischen Calciumschwankungen im Zuge der Exzitations-Kontraktions-Kopplung (ECC) und vergleichsweise schwachen Calciumsignalen zur Transkriptionsteuerung unterscheidet. Mit Hilfe von nukleären Calcineurin-Mutanten, die einen Defekt in der Ca2+-Bindung aufwiesen, konnte die Bedeutung von Calcineurin als Calciumsensor für die NFAT-abhängige Transkription nachgewiesen werden. Im Mausmodell waren unter Hypertrophie-Bedingungen die Ca2+-Transienten in der nukleären Mikrodomäne signifikant stärker als im Zytosol, wodurch die Hypothese, dass die Aktivierung der Calcineurin/NFAT-Signalkaskade unabhängig von zytosolischem Ca2+ erfolgt, gestützt wird. Messungen von nukleären und zytosolischen Ca2+-Transienten in IP3-Sponge-Mäusen zeigten im Vergleich zu Wildtyp-Mäusen keine Erhöhung des Ca2+-Spiegels während der Diastole, was auf eine Rolle von Inositoltrisphosphat (IP3) in der Signalkaskade deutet. Außerdem zeigten isolierte Zellkerne ventrikulärer adulter Kardiomyozyten eine erhöhte Expression des IP3-Rezeptors 2 (IP3R2) nach Ang II-Stimulierung. Diese gesteigerte Expression war abhängig von der Calcineurin/NFAT-Kaskade und bestand sogar
3 Wochen nach Entfernung des Ang II-Stimulus fort. Zusammenfassend lässt sich sagen, dass nukleäres Calcineurin als ein Ca2+-Sensor agiert, dass die lokale Ca2+-Freisetzung im Kern über IP3-Rezeptoren detektiert wird und dass dies im Zusammenspiel mit NFAT die Transkription von Hypertrophiegenen initiiert.
A series of seven unusual dimeric naphthylisoquinoline alkaloids was isolated from the leaves of the tropical liana Ancistrocladus ealaensis J. Léonard, named cyclombandakamine A (1), 1-epi-cyclombandakamine A (2), and cyclombandakamines A3–7 (3–7). These alkaloids have a chemically thrilling structural array consisting of a twisted dihydrofuran-cyclohexenone-isochromene system. The 1′″-epimer of 4, cyclombandakamine A1 (8), had previously been discovered in an unidentified Ancistrocladus species related to A. ealaensis. Both lianas produce the potential parent precursor, mbandakamine A (9), but only A. ealaensis synthesizes the corresponding cyclized form, along with a broad series of slightly modified analogs. The challenging isolation required, besides multi-dimensional chromatography, the use of a pentafluorophenyl stationary phase. Featuring up to six stereocenters and two types of chiral axes, their structures were elucidated by means of 1D and 2D NMR, HRESIMS, in combination with oxidative chemical degradation experiments as well as chiroptical (electronic circular dichroism spectroscopy) and quantum chemical calculations. Compared to the ‘open-chain’ parent compound 9, these dimers displayed rather moderate antiplasmodial activities.
Worldwide, cold regions are undergoing significant alterations due to climate change. Snow, the most widely distributed cold region component, is highly sensitive to climate change. At the same time, snow itself profoundly impacts the Earth’s energy budget, biodiversity, and natural hazards, as well as hydropower management, freshwater management, and winter tourism/sports. Large parts of the cold regions in Europe are mountain areas, which are densely populated because of the various ecosystem services and socioeconomic well-being in mountains. At present, severe consequences caused by climate change have been observed in European mountains and their surrounding areas. Yet, large knowledge gaps hinder the development of effective regional and local adaptation strategies. Long-term and evidence-based regional studies are urgently needed to enhance the comprehension of regional responses to climate change.
Earth Observation (EO) provides long-term consistent records of the Earth’s surface. It is a great alternative and/or supplement to conventional in-situ measurements which are usually time-consuming, cost-intensive and logistically demanding, particularly for the poor accessibility of cold regions. With the assistance of EO, land surface dynamics in cold regions can be observed in an objective, repeated, synoptic and consistent way. Thanks to free and open data policies, long-term archives such as Landsat Archive and Sentinel Archive can be accessed free-of-charge. The high- to medium-resolution remote sensing imagery from these freely accessible archives gives EO-based time series datasets the capability to depict snow dynamics in European mountains from the 1980s to the present. In order to compile such a dataset, it is necessary to investigate the spatiotemporal availability of EO data, and develop a spatiotemporally transferable framework from which one can investigate snow dynamics.
Among the available EO image archives, the Landsat Archive has the longest uninterrupted records of the Earth’s land surface. Furthermore, its 30 m spatial resolution fulfils the requirements for snow monitoring in complex terrains. Landsat data can yield a time series of snow dynamics in mountainous areas from 1984 to the present. However, severe Landsat data gaps have occurred across certain regions of Europe. Moreover, the Landsat Level 1 Precision and Terrain (L1TP) data is scarcer (up to 50% less) in high-latitude mountainous areas than in low-latitude mountainous areas. Given the abovementioned facts, the Regional Snowline Elevation (RSE) is selected to characterize the snow dynamics in mountainous areas, as it can handle cloud obstructions in the optical images. In this thesis, I present a five-step framework to derive and densify RSE time series in European mountains, i.e. (1) pre-processing, (2) snow detection, (3) RSE retrieval, (4) time series densification, and (5) Regional Snowline Retreat Curve (RSRC) production.
The results of the intra-annual RSE variations show a uniquely high variation in the beginning of the ablation seasons in the Alpine catchment Tagliamento, mainly toward higher elevation. As for inter-annual variations of RSE, median RSE increases in all selected catchments, with an average speed of around 4.66 m ∙ a−1 (median) and 5.87 m ∙ a−1 (at the beginning of the ablation season). The fastest significant retreat is observed in the catchment Drac (10.66 m ∙ a−1, at the beginning of the ablation season), and the slowest significant retreat is observed in the catchment Uzh (1.74 m ∙ a−1, at the beginning of the ablation season). The increase of RSEs at the beginning of the ablation season is faster than the median RSEs, whose average difference is nearly 1.21 m ∙ a−1, particularly in the catchment Drac (3.72 m ∙ a−1). The results of the RSRCs show a significant rise in RSEs at the beginning of the ablation season, except for the Alpine catchment Alpenrhein and Var, and the Pyrenean catchment Ariege. It indicates that 11.8 and 3.97 degrees Celsius less per year are needed for the regional snowlines to reach the middle point of the RSRC in the Tagliamento and Tysa, respectively. The variation of air temperature is regarded as an example of a potential climate driver in this thesis. The retrieved monthly mean RSEs are highly correlated (mean correlation coefficient "R" ̅ = 0.7) with the monthly temperature anomalies, which are more significant in months with extremely low/high temperature. Another case study that investigates the correlation between river discharges and RSEs is carried out to demonstrate the potential consequences of the derived snowline dynamics. The correlation analysis shows a good correlation between river discharges and RSEs (correlation coefficient, R=0.52).
In this thesis, the developed framework signifies a better understanding of the snow dynamics in mountain areas, as well as their potential triggers and consequences. Nonetheless, an urgent need persists for: (1) validation data to assess long-term snow-related observations based on high-resolution EO data; (2) further studies to reveal interactions between snow and its ambient environment; and (3) regional and local adaptation-strategies coping with climate change. Further studies exploring the above-mentioned research gaps are urgently needed in the future.
WUEMoCA — научный инструмент веб-кар¬тографирования для мониторинга эф¬фек¬тивности земле- и водопользования на территориях орошаемого земледелия стран трансграничного бассейна Араль¬ского моря (Казахстана, Кыргызстана, Таджикистана, Туркменистана, Узбеки¬стана и Афганистана). Путём интеграции спутниковых данных по землепользованию, растениеводству и потреблению воды с гидрологическими и экономическими данными создаётся целый набор показателей. Инструмент полезен для выработки масштабных решений в вопросах распределения воды и землепользования, а также может применяться во многих практических сферах, в которых требуются независимые данные о конкретных обширных территориях.
WUEMoCA is an operational scientific webmapping tool for the regional monitoring of land and water use efficiency in the irrigated croplands of the transboundary Aral Sea Basin that is shared by Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, Uzbekistan, and Afghanistan. Satellite data on land use, crop pro-duction and water consumption is integrated with hydrological and economic information to provide of a set indicators. The tool is useful for large-scale decisions on water distribution or land use, and may be seen as demonstrator for numerous applications in practice, that require independent area-wide spatial information.