3 resultados para Network Analysis Methods

em ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha


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Die resonante Laserionisation hat sich als ein universales Verfahren für eine Vielzahl von Anwendungen etabliert, die eine selektive Ionisation bei hoher Effizienz erfordern. Hierzu wurden zwei Lasersysteme mit unterschiedlichen Zielsetzungen und Schwerpunkten entwickelt und in dieser Arbeit angewendet. Im ersten Teil der Arbeit wird die Entwicklung der hochauflösenden Resonanzionisations-Massenspektrometrie zum Ultraspurennachweis von 41Ca vorgestellt. Hierzu wurden drei kontinuierliche Diodenlaser mit einem Quadrupolmassenspektrometer kombiniert. Bei einer Nachweiseffizienz von 1 × 10^−5 konnte eine Nachweisgrenze von 2 × 10^-13 41Ca/totCa erreicht werden. Das in den Routinebetrieb überführte Meßverfahren ermöglichte die Teilnahme an einem interdisziplinären Netzwerk zur Osteoporose-Forschung. In Vergleichsmessungen der Resonanzionisations-Massenspektrometrie mit allen derzeit existierenden Meßverfahren zum 41Ca-Ultraspurennachweis konnte eine sehr gute Übereinstimmung erzielt werden. Der zweite Teil der Arbeit beinhaltet die Adaption eines durchstimmbaren, hochrepetierenden Titan:Saphir-Lasersystem für den Einsatz an Laserionenquellen zur selektiven Erzeugung radioaktiver Ionenstrahlen. Das entwickelte Lasersystem ermöglicht eine effiziente, resonante Anregung des Großteils der Elemente im Periodensystem. Hierzu wurde eine kombinierte Frequenzverdopplungs- und Frequenzverdreifachungseinheit zur Erzeugung höherer Harmonischer aufgebaut. Die Anwendbarkeit eines solchen reinen Festkörper-Lasersystems wurde in zahlreichen off-line Testmessungen sowohl in Mainz als auch an den ISOL Einrichtungen am TRIUMF und ORNL gezeigt und führte zum ersten on-line Einsatz am TRIUMF.

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It is currently widely accepted that the understanding of complex cell functions depends on an integrated network theoretical approach and not on an isolated view of the different molecular agents. Aim of this thesis was the examination of topological properties that mirror known biological aspects by depicting the human protein network with methods from graph- and network theory. The presented network is a partial human interactome of 9222 proteins and 36324 interactions, consisting of single interactions reliably extracted from peer-reviewed scientific publications. In general, one can focus on intra- or intermodular characteristics, where a functional module is defined as "a discrete entity whose function is separable from those of other modules". It is found that the presented human network is also scale-free and hierarchically organised, as shown for yeast networks before. The interactome also exhibits proteins with high betweenness and low connectivity which are biologically analyzed and interpreted here as shuttling proteins between organelles (e.g. ER to Golgi, internal ER protein translocation, peroxisomal import, nuclear pores import/export) for the first time. As an optimisation for finding proteins that connect modules, a new method is developed here based on proteins located between highly clustered regions, rather than regarding highly connected regions. As a proof of principle, the Mediator complex is found in first place, the prime example for a connector complex. Focusing on intramodular aspects, the measurement of k-clique communities discriminates overlapping modules very well. Twenty of the largest identified modules are analysed in detail and annotated to known biological structures (e.g. proteasome, the NFκB-, TGF-β complex). Additionally, two large and highly interconnected modules for signal transducer and transcription factor proteins are revealed, separated by known shuttling proteins. These proteins yield also the highest number of redundant shortcuts (by calculating the skeleton), exhibit the highest numbers of interactions and might constitute highly interconnected but spatially separated rich-clubs either for signal transduction or for transcription factors. This design principle allows manifold regulatory events for signal transduction and enables a high diversity of transcription events in the nucleus by a limited set of proteins. Altogether, biological aspects are mirrored by pure topological features, leading to a new view and to new methods that assist the annotation of proteins to biological functions, structures and subcellular localisations. As the human protein network is one of the most complex networks at all, these results will be fruitful for other fields of network theory and will help understanding complex network functions in general.

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Primary biogenic aerosol (PBA) particles account for large proportions of air particulate matter, and they can influence the hydrological cycle and climate as nuclei for water droplets and ice crystals in clouds, fog, and precipitation. Moreover, they can cause or enhance human, animal, and plant diseases. The actual abundance and properties of PBA particles and components in the atmosphere are, however, still poorly understood and quantified. rnIn this study, the identity, diversity, and frequency of occurrence of PBA particles were investigated by DNA analysis. Methods for the extraction, amplification, and analysis of DNA from aerosol filter samples were developed and optimized for different types of organisms, including fungi, bacteria, and plants. The investigations were focused on fungal DNA, and over 2500 sequences were obtained from air samples collected at different locations and climatic zones around the world (tropical, mid-latitude, sub-polar; continental, marine). rnNearly all fungal DNA sequences could be attributed to the phyla of Ascomycota and Basidiomycota. With regard to species richness, the ratio of Basidiomycota to Ascomycota was much higher in continental air samples (~60:40) than in marine air samples (~30:70). Pronounced differences in the relative abundance and seasonal cycles of various groups of fungi were detected in coarse and fine particulate matter from continental air, with more plant pathogens in the coarse and more human pathogens and allergens in the respirable fine particle fraction (<3 µm). The results of this study provide new information and insights into the sources of PBA particles and the interactions of the biosphere with the atmosphere, climate, and public health. rn