Refine
Has Fulltext
- yes (30) (remove)
Year of publication
- 2016 (30) (remove)
Document Type
- Postprint (16)
- Doctoral Thesis (13)
- Master's Thesis (1)
Is part of the Bibliography
- yes (30)
Keywords
- Dictyostelium (3)
- Centrosom (2)
- centrosome (2)
- dictyostelium (2)
- mathematical modeling (2)
- mathematical modelling (2)
- mathematische Modellierung (2)
- microtubules (2)
- nucleus (2)
- secondary metabolites (2)
- Antiphospholipid antibody (1)
- Antiphospholipid syndrome (1)
- Arabidopsis thaliana (1)
- Ausrichtung (1)
- Beta2 - glycoprotein I (1)
- Bildanalyse (1)
- Blasia (1)
- Borrelia burgdorferi (1)
- Brassicaceae (1)
- CP75 (1)
- Capsella (1)
- Clostridium difficile (1)
- Coadaptation (1)
- Crotalus (1)
- Datenanalyse und Statistik (1)
- Datenbank (1)
- Dielektrophorese (1)
- Energiemangel (1)
- Epitope mapping (1)
- Epitopmapping (1)
- Fitness (1)
- G-quadruplexes, (1)
- Germline transmission (1)
- Graphtheorie (1)
- HIV (1)
- HIV Erkrankung (1)
- HeH-protein (1)
- Honigbiene (1)
- Immobilisierung (1)
- Immunogene Proteine (1)
- Immunogenic Proteins (1)
- Koexistenz Mechanismen (1)
- Kombinationstherapie (1)
- LEM-domain protein (1)
- Large fragment deletion (1)
- Licht-induzierte (1)
- Line immunoassay (1)
- Mikrotubuli (1)
- Mitose (1)
- Mojave toxin (1)
- Multiplex mutagenesis (1)
- Neisseria gonorrhoeae (1)
- Neisseria meningitidis (1)
- Nostoc (1)
- Phage Display (1)
- Pharmakokinetik (1)
- Phospholipid binding proteins (1)
- Phosphorylierung (1)
- Polyelektrolyt-Multischichten (1)
- Proteindegradierung (1)
- Proteine (1)
- Proteinkinase (1)
- RNA-Seq (1)
- RNA-guided Cas9 (1)
- Recombinant Antibodies (1)
- Regulierung der Genexpression (1)
- Rekombinante Antikörper (1)
- Rezeptor (1)
- Ribosom (1)
- Risikoabbildung (1)
- Savanna ecology (1)
- Savanna resilience (1)
- Savannen Resilienz (1)
- Sekundärmetabolite (1)
- Serotonin (1)
- SnRK1 (1)
- Stimulierung von Zellen (1)
- Systembiologie (1)
- Transkriptomik (1)
- Verbuschung (1)
- Wassererosion (1)
- Wechselwirkungen (1)
- Zellbiologie (1)
- Zellkern (1)
- Zytoskelett (1)
- adaptation (1)
- alignment (1)
- allelopathy (1)
- anisotropic growth (1)
- arabidopsis (1)
- assay (1)
- binding (1)
- body size (1)
- cellulose fibers (1)
- coexistence mechanisms (1)
- composite material (1)
- computational morphodynamics (1)
- conformational-changes (1)
- cyanobacteria (1)
- cytoskeleton (1)
- data analysis and statistics (1)
- data standardisation and formatting (1)
- database (1)
- dielectrophoresis (1)
- diversification (1)
- drug release (1)
- early warning signals (1)
- electrokinetics (1)
- elektrokinetische Effekte (1)
- energy starvation (1)
- equalizing and stabilizing mechanisms (1)
- evolution (1)
- experiment description (1)
- experimental metadata (1)
- fatty acid changes (1)
- finite element modeling (1)
- freshwater algae (1)
- fruit shape (1)
- gene expression control (1)
- graph theory (1)
- green-i (1)
- heat stress response (1)
- hexapoda (1)
- honey bee (1)
- hybridization (1)
- image analysis (1)
- immobilization (1)
- insects (1)
- interactions (1)
- introgression (1)
- kontrollierte Freisetzung von Biomolekülen (1)
- lamin (1)
- light adaptation (1)
- light-triggered (1)
- lipid classes (1)
- mRNA Degradierung (1)
- mRNA degradation (1)
- maintenance of functional diversity (1)
- mathematische Modelierung (1)
- mathematisches Modellierung (1)
- microcystin (1)
- microcystis (1)
- minimum information recommendations (1)
- mitosis (1)
- modelling (1)
- molecular evolution (1)
- multilayer films (1)
- next generation sequencing (NGS) (1)
- niche and fitness differences (1)
- nuclear lamina (1)
- nucleolus (1)
- parameter estimation (1)
- personalised medicine (1)
- personalisierte Medizin (1)
- pharmacokinetics (1)
- phosphorylation (1)
- phylogeny (1)
- plant cell wall (1)
- plant phenotyping (1)
- plant science (1)
- predictive analysis (1)
- protein (1)
- protein degradation (1)
- protein kinase (1)
- proteins (1)
- prädiktive Analyse (1)
- receptors (1)
- ribosome (1)
- ribosome profiling (1)
- risk mapping (1)
- root hair initiation (1)
- secondary structure (1)
- serotonin (1)
- stimulation of cells (1)
- stochastic modeling (1)
- stochastische Modellierung (1)
- supersaturated species coexistence (1)
- symbiosis (1)
- systems biology (1)
- trait convergence and divergence (1)
- transcription (1)
- transcriptomics (1)
- translation (1)
- urban soil erosion (1)
- urbane Bodenerosion (1)
- venom (1)
- viral fitness (1)
- water erosion (1)
- woody encroachment (1)
Institute
- Institut für Biochemie und Biologie (30) (remove)
Species can adjust their traits in response to selection which may strongly influence species coexistence. Nevertheless, current theory mainly assumes distinct and time-invariant trait values. We examined the combined effects of the range and the speed of trait adaptation on species coexistence using an innovative multispecies predator–prey model. It allows for temporal trait changes of all predator and prey species and thus simultaneous coadaptation within and among trophic levels. We show that very small or slow trait adaptation did not facilitate coexistence because the stabilizing niche differences were not sufficient to offset the fitness differences. In contrast, sufficiently large and fast trait adaptation jointly promoted stable or neutrally stable species coexistence. Continuous trait adjustments in response to selection enabled a temporally variable convergence and divergence of species traits; that is, species became temporally more similar (neutral theory) or dissimilar (niche theory) depending on the selection pressure, resulting over time in a balance between niche differences stabilizing coexistence and fitness differences promoting competitive exclusion. Furthermore, coadaptation allowed prey and predator species to cluster into different functional groups. This equalized the fitness of similar species while maintaining sufficient niche differences among functionally different species delaying or preventing competitive exclusion. In contrast to previous studies, the emergent feedback between biomass and trait dynamics enabled supersaturated coexistence for a broad range of potential trait adaptation and parameters. We conclude that accounting for trait adaptation may explain stable and supersaturated species coexistence for a broad range of environmental conditions in natural systems when the absence of such adaptive changes would preclude it. Small trait changes, coincident with those that may occur within many natural populations, greatly enlarged the number of coexisting species.
Among the bloom-forming and potentially harmful cyanobacteria, the genus Microcystis represents a most diverse taxon, on the genomic as well as on morphological and secondary metabolite levels. Microcystis communities are composed of a variety of diversified strains. The focus of this study lies on potential interactions between Microcystis representatives and the roles of secondary metabolites in these interaction processes.
The role of secondary metabolites functioning as signaling molecules in the investigated interactions is demonstrated exemplary for the prevalent hepatotoxin microcystin. The extracellular and intracellular roles of microcystin are tested in microarray-based transcriptomic approaches. While an extracellular effect of microcystin on Microcystis transcription is confirmed and connected to a specific gene cluster of another secondary metabolite in this study, the intracellularly occurring microcystin is related with several pathways of the primary metabolism. A clear correlation of a microcystin knockout and the SigE-mediated regulation of carbon metabolism is found. According to the acquired transcriptional data, a model is proposed that postulates the regulating effect of microcystin on transcriptional regulators such as the alternative sigma factor SigE, which in return captures an essential role in sugar catabolism and redox-state regulation.
For the purpose of simulating community conditions as found in the field, Microcystis colonies are isolated from the eutrophic lakes near Potsdam, Germany and established as stably growing under laboratory conditions. In co-habitation simulations, the recently isolated field strain FS2 is shown to specifically induce nearly immediate aggregation reactions in the axenic lab strain Microcystis aeruginosa PCC 7806. In transcriptional studies via microarrays, the induced expression program in PCC 7806 after aggregation induction is shown to involve the reorganization of cell envelope structures, a highly altered nutrient uptake balance and the reorientation of the aggregating cells to a heterotrophic carbon utilization, e.g. via glycolysis. These transcriptional changes are discussed as mechanisms of niche adaptation and acclimation in order to prevent competition for resources.
The cytoskeleton is an essential component of living cells. It is composed of different types of protein filaments that form complex, dynamically rearranging, and interconnected networks. The cytoskeleton serves a multitude of cellular functions which further depend on the cell context. In animal cells, the cytoskeleton prominently shapes the cell's mechanical properties and movement. In plant cells, in contrast, the presence of a rigid cell wall as well as their larger sizes highlight the role of the cytoskeleton in long-distance intracellular transport. As it provides the basis for cell growth and biomass production, cytoskeletal transport in plant cells is of direct environmental and economical relevance. However, while knowledge about the molecular details of the cytoskeletal transport is growing rapidly, the organizational principles that shape these processes on a whole-cell level remain elusive.
This thesis is devoted to the following question: How does the complex architecture of the plant cytoskeleton relate to its transport functionality? The answer requires a systems level perspective of plant cytoskeletal structure and transport. To this end, I combined state-of-the-art confocal microscopy, quantitative digital image analysis, and mathematically powerful, intuitively accessible graph-theoretical approaches.
This thesis summarizes five of my publications that shed light on the plant cytoskeleton as a transportation network: (1) I developed network-based frameworks for accurate, automated quantification of cytoskeletal structures, applicable in, e.g., genetic or chemical screens; (2) I showed that the actin cytoskeleton displays properties of efficient transport networks, hinting at its biological design principles; (3) Using multi-objective optimization, I demonstrated that different plant cell types sustain cytoskeletal networks with cell-type specific and near-optimal organization; (4) By investigating actual transport of organelles through the cell, I showed that properties of the actin cytoskeleton are predictive of organelle flow and provided quantitative evidence for a coordination of transport at a cellular level; (5) I devised a robust, optimization-based method to identify individual cytoskeletal filaments from a given network representation, allowing the investigation of single filament properties in the network context. The developed methods were made publicly available as open-source software tools.
Altogether, my findings and proposed frameworks provide quantitative, system-level insights into intracellular transport in living cells. Despite my focus on the plant cytoskeleton, the established combination of experimental and theoretical approaches is readily applicable to different organisms. Despite the necessity of detailed molecular studies, only a complementary, systemic perspective, as presented here, enables both understanding of cytoskeletal function in its evolutionary context as well as its future technological control and utilization.
Src1 is a Protein of the Inner Nuclear Membrane Interacting with the Dictyostelium Lamin NE81
(2016)
The nuclear envelope (NE) consists of the outer and inner nuclear membrane (INM), whereby the latter is bound to the nuclear lamina. Src1 is a Dictyostelium homologue of the helix-extension-helix family of proteins, which also includes the human lamin-binding protein MAN1. Both endogenous Src1 and GFP-Src1 are localized to the NE during the entire cell cycle. Immuno-electron microscopy and light microscopy after differential detergent treatment indicated that Src1 resides in the INM. FRAP experiments with GFP-Src1 cells suggested that at least a fraction of the protein could be stably engaged in forming the nuclear lamina together with the Dictyostelium lamin NE81. Both a BioID proximity assay and mis-localization of soluble, truncated mRFP-Src1 at cytosolic clusters consisting of an intentionally mis-localized mutant of GFP-NE81 confirmed an interaction of Src1 and NE81. Expression GFP-Src11–646, a fragment C-terminally truncated after the first transmembrane domain, disrupted interaction of nuclear membranes with the nuclear lamina, as cells formed protrusions of the NE that were dependent on cytoskeletal pulling forces. Protrusions were dependent on intact microtubules but not actin filaments. Our results indicate that Src1 is required for integrity of the NE and highlight Dictyostelium as a promising model for the evolution of nuclear architecture.
The population structure of the highly mobile marine mammal, the harbor porpoise (Phocoena phocoena), in the Atlantic shelf waters follows a pattern of significant isolation-by-distance. The population structure of harbor porpoises from the Baltic Sea, which is connected with the North Sea through a series of basins separated by shallow underwater ridges, however, is more complex. Here, we investigated the population differentiation of harbor porpoises in European Seas with a special focus on the Baltic Sea and adjacent waters, using a population genomics approach. We used 2872 single nucleotide polymorphisms (SNPs), derived from double digest restriction-site associated DNA sequencing (ddRAD-seq), as well as 13 microsatellite loci and mitochondrial haplotypes for the same set of individuals. Spatial principal components analysis (sPCA), and Bayesian clustering on a subset of SNPs suggest three main groupings at the level of all studied regions: the Black Sea, the North Atlantic, and the Baltic Sea. Furthermore, we observed a distinct separation of the North Sea harbor porpoises from the Baltic Sea populations, and identified splits between porpoise populations within the Baltic Sea. We observed a notable distinction between the Belt Sea and the Inner Baltic Sea sub-regions. Improved delineation of harbor porpoise population assignments for the Baltic based on genomic evidence is important for conservation management of this endangered cetacean in threatened habitats, particularly in the Baltic Sea proper. In addition, we show that SNPs outperform microsatellite markers and demonstrate the utility of RAD-tags from a relatively small, opportunistically sampled cetacean sample set for population diversity and divergence analysis.
The all-female Amazon molly (Poecilia formosa) originated from a single hybridization of two bisexual ancestors, Atlantic molly (Poecilia mexicana) and sailfin molly (Poecilia latipinna). As a gynogenetic species, the Amazon molly needs to copulate with a heterospecific male, but the genetic information of the sperm-donor does not contribute to the next generation, as the sperm only acts as the trigger for the diploid eggs’ embryogenesis. Here, we study the sequence evolution and gene expression of the duplicated genes coding for androgen receptors (ars) and other pathway-related genes, i.e., the estrogen receptors (ers) and cytochrome P450, family19, subfamily A, aromatase genes (cyp19as), in the Amazon molly, in comparison to its bisexual ancestors. Mollies possess–as most other teleost fish—two copies of the ar, er, and cyp19a genes, i.e., arα/arβ, erα/erβ1, and cyp19a1 (also referred as cyp19a1a)/cyp19a2 (also referred to as cyp19a1b), respectively. Non-synonymous single nucleotide polymorphisms (SNPs) among the ancestral bisexual species were generally predicted not to alter protein function. Some derived substitutions in the P. mexicana and one in P. formosa are predicted to impact protein function. We also describe the gene expression pattern of the ars and pathway-related genes in various tissues (i.e., brain, gill, and ovary) and provide SNP markers for allele specific expression research. As a general tendency, the levels of gene expression were lowest in gill and highest in ovarian tissues, while expression levels in the brain were intermediate in most cases. Expression levels in P. formosa were conserved where expression did not differ between the two bisexual ancestors. In those cases where gene expression levels significantly differed between the bisexual species, P. formosa expression was always comparable to the higher expression level among the two ancestors. Interestingly, erβ1 was expressed neither in brain nor in gill in the analyzed three molly species, which implies a more important role of erα in the estradiol synthesis pathway in these tissues. Furthermore, our data suggest that interactions of steroid-signaling pathway genes differ across tissues, in particular the interactions of ars and cyp19as.
Savannas cover a broad geographical range across continents and are a biome best described by a mix of herbaceous and woody plants. The former create a more or less continuous layer while the latter should be sparse enough to leave an open canopy. What has long intrigued ecologists is how these two competing plant life forms of vegetation coexist.
Initially attributed to resource competition, coexistence was considered the stable outcome of a root niche differentiation between trees and grasses. The importance of environmental factors became evident later, when data from moister environments demonstrated that tree cover was often lower than what the rainfall conditions would allow for. Our current understanding relies on the interaction of competition and disturbances in space and time. Hence, the influence of grazing and fire and the corresponding feedbacks they generate have been keenly investigated. Grazing removes grass cover, initiating a self-reinforcing process propagating tree cover expansion. This is known as the encroachment phenomenon. Fire, on the other hand, imposes a bottleneck on the tree population by halting the recruitment of young trees into adulthood. Since grasses fuel fires, a feedback linking grazing, grass cover, fire, and tree cover is created. In African savannas, which are the focus of this dissertation, these feedbacks play a major role in the dynamics.
The importance of these feedbacks came into sharp focus when the notion of alternative states began to be applied to savannas. Alternative states in ecology arise when different states of an ecosystem can occur under the same conditions. According to this an open savanna and a tree-dominated savanna can be classified as alternative states, since they can both occur under the same climatic conditions. The aforementioned feedbacks are critical in the creation of alternative states. The grass-fire feedback can preserve an open canopy as long as fire intensity and frequency remain above a certain threshold. Conversely, crossing a grazing threshold can force an open savanna to shift to a tree-dominated state. Critically, transitions between such alternative states can produce hysteresis, where a return to pre-transition conditions will not suffice to restore the ecosystem to its original state.
In the chapters that follow, I will cover aspects relating to the coexistence mechanisms and the role of feedbacks in tree-grass interactions. Coming back to the coexistence question, due to the overwhelming focus on competition and disturbance another important ecological process was neglected: facilitation. Therefore, in the first study within this dissertation I examine how facilitation can expand the tree-grass coexistence range into drier conditions. For the second study I focus on another aspect of savanna dynamics which remains underrepresented in the literature: the impacts of inter-annual rainfall variability upon savanna trees and the resilience of the savanna state. In the third and final study within this dissertation I approach the well-researched encroachment phenomenon from a new perspective: I search for an early warning indicator of the process to be used as a prevention tool for savanna conservation. In order to perform all this work I developed a mathematical ecohydrological model of Ordinary Differential Equations (ODEs) with three variables: soil moisture content, grass cover and tree cover.
Facilitation: Results showed that the removal of grass cover through grazing was detrimental to trees under arid conditions, contrary to expectation based on resource competition. The reason was that grasses preserved moisture in the soil through infiltration and shading, thus ameliorating the harsh conditions for trees in accordance with the Stress Gradient Hypothesis. The exclusion of grasses from the model further demonstrated this: tree cover was lower in the absence of grasses, indicating that the benefits of grass facilitation outweighed the costs of grass competition for trees. Thus, facilitation expanded the climatic range where savannas persisted into drier conditions.
Rainfall variability: By adjusting the model to current rainfall patterns in East Africa, I simulated conditions of increasing inter-annual rainfall variability for two distinct mean rainfall scenarios: semi-arid and mesic. Alternative states of tree-less grassland and tree-dominated savanna emerged in both cases. Increasing variability reduced semi-arid savanna tree cover to the point that at high variability the savanna state was eliminated, because variability intensified resource competition and strengthened the fire disturbance during high rainfall years. Mesic savannas, on the other hand, became more resilient along the variability gradient: increasing rainfall variability created more opportunities for the rapid growth of trees to overcome the fire disturbance, boosting the chances of savannas persisting and thus increasing mesic savanna resilience.
Preventing encroachment: The breakdown in the grass-fire feedback caused by heavy grazing promoted the expansion of woody cover. This could be irreversible due to the presence of alternative states of encroached and open savanna, which I found along a simulated grazing gradient. When I simulated different short term heavy grazing treatments followed by a reduction to the original grazing conditions, certain cases converged to the encroached state. Utilising woody cover changes only during the heavy grazing treatment, I developed an early warning indicator which identified these cases with a high risk of such hysteresis and successfully distinguished them from those with a low risk. Furthermore, after validating the indicator on encroachment data, I demonstrated that it appeared early enough for encroachment to be prevented through realistic grazing-reduction treatments.
Though this dissertation is rooted in the theory of savanna dynamics, its results can have significant applications in savanna conservation. Facilitation has only recently become a topic of interest within savanna literature. Given the threat of increasing droughts and a general anticipation of drier conditions in parts of Africa, insights stemming from this research may provide clues for preserving arid savannas. The impacts of rainfall variability on savannas have not yet been thoroughly studied, either. Conflicting results appear as a result of the lack of a robust theoretical understanding of plant interactions under variable conditions. . My work and other recent studies argue that such conditions may increase the importance of fast resource acquisition creating a ‘temporal niche’. Woody encroachment has been extensively studied as phenomenon, though not from the perspective of its early identification and prevention. The development of an encroachment forecasting tool, as the one presented in this work, could protect both the savanna biome and societies dependent upon it for (economic) survival. All studies which follow are bound by the attempt to broaden the horizons of savanna-related research in order to deal with extreme conditions and phenomena; be it through the enhancement of the coexistence debate or the study of an imminent external threat or the development of a management-oriented tool for the conservation of savannas.
Das biogene Amin Serotonin (5-Hydroxytryptamin, 5-HT) agiert als wichtiger chemischer Botenstoff bei einer Vielzahl von Organismen. Das durch 5 HT vermittelte Signal wird dabei durch spezifische Rezeptoren wahrgenommen und in eine zelluläre Reaktion umgesetzt. Diese 5 HT Rezeptoren gehören überwiegend zur Familie der G Protein gekoppelten Rezeptoren (GPCRs). Die Honigbiene Apis mellifera bietet unter anderem aufgrund ihrer eusozialen Lebensweise vielfältige Ansatzpunkte zur Erforschung der Funktionen des serotonergen Systems in Insekten. Bei A. mellifera wurden bereits vier 5-HT-Rezeptor-Subtypen beschrieben und molekular sowie pharmakologisch charakterisiert: Am5 HT1A, Am5 HT2α, Am5 HT2β und Am5 HT7. Ziel dieser Arbeit war es, gewebespezifische sowie alters- und tageszeitabhängige Expressionsmuster der 5 HT Rezeptor-Subtypen zu untersuchen, um zu einem umfassenden Verständnis des serotonergen Systems der Honigbiene beizutragen und eine Basis zur Hypothesenentwicklung für mögliche physiologische Funktionen zu schaffen.
Es wurde die Expression der 5 HT Rezeptorgene sowohl im zentralen Nervensystem, als auch in Teilen des Verdauungs-, Exkretions- und Speicheldrüsensystems gemessen. Dabei konnte gezeigt werden, dass die untersuchten 5-HT-Rezeptor-Subtypen generell weit im Organismus der Honigbiene verbreitet sind. Interessanterweise unterschieden sich die untersuchten Gewebe hinsichtlich der mRNA-Expressionsmuster der untersuchten Rezeptoren. Während beispielsweise im Gehirn Am5 ht1A und Am5 ht7 stärker als Am5 ht2α und Am5 ht2β exprimiert wurden, zeigte sich in Darmgewebe ein umgekehrtes Muster.
Es war bereits bekannt, dass es bei der Expression der Am5-ht2-Gene zu alternativem Spleißen kommt. Dies führt zur Entstehung der verkürzten mRNA-Varianten Am5 ht2αΔIII und Am5 ht2βΔII. Die daraus resultierenden Proteine können nicht als funktionelle GPCRs agieren. Es konnte gezeigt werden, dass diese verkürzten Spleißvarianten dennoch ubiquitär in der Honigbiene exprimiert werden. Bemerkenswerterweise wurden gewebeübergreifende Ähnlichkeiten der Expressionsmuster der Spleißvarianten gegenüber deren zugehörigen Volllängenvarianten festgestellt, welche auf Funktionen der verkürzten Varianten in vivo hindeuten.
Im Hinblick auf die bei A. mellifera hauptsächlich altersbedingte Arbeitsteilung wurde die Expression der 5 HT Rezeptor-Subtypen in Gehirnen von unterschiedlich alten Arbeiterinnen mit unterschiedlichen sozialen Rollen verglichen. Während auf mRNA-Ebene keines der vier 5 HT Rezeptor-Subtypen eine altersabhängig unterschiedliche Expression zeigte, konnte für das Am5-HT1A-Protein eine höhere Konzentration in den Gehirnen älterer Tiere gefunden werden. Dies deutet auf eine posttranskriptionale Regulation der 5 HT1A Rezeptorexpression hin, welche im Zusammenhang mit der Arbeitsteilung stehen könnte.
Es erfolgte die Untersuchung tageszeitlicher Änderungen sowohl der Expression der 5 HT Rezeptor-Subtypen, als auch des biogenen Amins 5 HT selbst. Während es in den Gehirnen von Arbeiterinnen, welche unter natürlichen Bedingungen gehalten wurden, zu keiner tageszeitabhängigen Veränderung des 5 HT-Titers kam, zeigte die mRNA-Expression von Am5-ht2α und Am5-ht2β eine periodische Oszillation mit Zunahme während des Tages und Abnahme während der Nacht. Diese Regulation wird durch externe Faktoren hervorgerufen und ist nicht auf einen endogenen circadianen Rhythmus zurückzuführen. Dies ging aus der Wiederholung der Expressionsmessungen an Gehirnen von Bienen, welche unter konstanten Laborbedingungen gehalten wurden, hervor.
Weiterhin wurde die Beteiligung des serotonergen Systems an der Steuerung von Aspekten des circadianen lokomotorischen Aktivitätsrhythmus anhand von Verhaltensexperimenten untersucht. Mit 5 HT gefütterte Arbeiterinnen zeigten dabei unter konstanten Bedingungen eine längere Periode des Aktivitätsrhythmus als Kontrolltiere. Dies deutet auf einen Einfluss von 5 HT auf die Modulation der Synchronisation der inneren Uhr hin.
Die vorliegenden Ergebnisse tragen wesentlich zum tieferen Verständnis des serotonergen Systems der Honigbiene bei und bieten Ansatzpunkte für weitergehende Studien zur Funktion von 5 HT im Zusammenhang mit der Modulation von physiologischen Prozessen, Arbeitsteilung und circadianen Rhythmen.
Jeden Tag werden unzählige Mengen an medizinischen Patientendaten in Krankenhäusern und Arztpraxen digital gespeichert. Für Forschungszwecke werden diese Daten bisher größtenteils nicht verwendet. Ziel dieser Arbeit ist es täglich anfallende anonymisierte Patientendaten, die aus einer Praxis für ganzheitliche Innere Medizin stammen, zu analysieren. Aufgrund mangelnder Kooperation seitens des Anbieters der Praxissoftware konnten die Patientendaten nicht automatisch extrahiert werden. Daher wurde eine Auswahl an Diagnosen und anthropometrischen Parametern manuell in eine Datenbank übertragen. Informationen über die Behandlung wurden dabei nicht berücksichtigt. Data-Mining Verfahren ermöglichen die Forschung auf der Grundlage von alltäglichen Patientendaten. Durch die Anwendung maschinellen Lernens kann Präventionsmedizin und die Überwachung von Behandlungsverläufen unterstützt werden.
Das Potenzial der Analyse dieser sonst weitgehend ungenutzten Daten wird anhand von Untersuchungen zur Komorbidität verdeutlicht. Dabei zeigt sich, dass einerseits das Metabolische Syndrom und dessen Komponenten zusammen mit Krebserkrankungen ein Cluster bilden und andererseits psychosomatische Störungen vermehrt mit Autoimmunerkrankungen der Schilddrüse auftreten. Außerdem wird eine noch nicht schulmedizinisch anerkannte Stoffwechselerkrankung, die Hämopyrrollaktamurie (HPU) untersucht. Diese lässt sich durch eine vermehrte Ausscheidung von Pyrrolen im Urin nachweisen. Bezüglich der Patienten bei denen ein HPU-Test vorliegt, weisen 84 % einen erhöhten Titer auf. Diese Beobachtung steht im Widerspruch zur vorherigen Annahme, dass in etwa 10 % der Bevölkerung von HPU betroffen sind.
Präventives Handeln ermöglicht es Gesundheit zu erhalten. Zu diesem Zweck ist es notwen- dig Krankheiten möglichst früh zu erkennen. In dieser Studie können Entscheidungsbaum-Modelle die Hashimoto Thyreoiditis mit einer Genauigkeit von 87.5 % bei einem Patienten diagnostizieren. Defizite durch die fehlenden Informationen über die medikamentöse Behandlung werden anhand des Modells zur Vorhersage von Hypothyreoiditis (Genauigkeit von 60.9 %) aufgezeigt.
Mit Hilfe von STATIS, das auf einer Erweiterung der Hauptkomponentenanalyse basiert, die es ermöglicht mehrere Tabellen simultan zu vergleichen, wurde der Behandlungsverlauf von 20 Patienten über einen Zeitraum von fünf Jahren überwacht. Anhand von Hypertonie wird gezeigt, dass sich sich die Patenten bezüglich Ihrer Laborwerte voneinander unterscheiden und sich Muster für Krankheiten erkennen lassen.
Diese Arbeit demonstriert den Nutzen, der durch die vermehrte Analyse alltäglicher hochdimensionaler und heterogener Daten erbracht werden kann.
Gene expression describes the process of making functional gene products (e.g. proteins or special RNAs) from instructions encoded in the genetic information (e.g. DNA). This process is heavily regulated, allowing cells to produce the appropriate gene products necessary for cell survival, adapting production as necessary for different cell environments. Gene expression is subject to regulation at several levels, including transcription, mRNA degradation, translation and protein degradation. When intact, this system maintains cell homeostasis, keeping the cell alive and adaptable to different environments. Malfunction in the system can result in disease states and cell death. In this dissertation, we explore several aspects of gene expression control by analyzing data from biological experiments. Most of the work following uses a common mathematical model framework based on Markov chain models to test hypotheses, predict system dynamics or elucidate network topology. Our work lies in the intersection between mathematics and biology and showcases the power of statistical data analysis and math modeling for validation and discovery of biological phenomena.