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ResearcherID
- J-8841-2015 (1)
Due to the earth´s rotation around itself and the sun, rhythmic daily and seasonal changes in illumination, temperature and many other environmental factors occur. Adaptation to these environmental rhythms presents a considerable advantage to survival. Thus, almost all living beings have developed a mechanism to time their behavior in accordance. This mechanism is the endogenous clock. If it fulfills the criteria of (1) entraining to zeitgebers (2) free-running behavior with a period of ~ 24 hours (3) temperature compensation, it is also referred to as “circadian clock”. Well-timed behavior is crucial for eusocial insects, which divide their tasks among different behavioral castes and need to respond to changes in the environment quickly and in an orchestrated fashion. Circadian rhythms have thus been studied and observed in many eusocial species, from ants to bees. The underlying mechanism of this clock is a molecular feedback loop that generates rhythmic changes in gene expression and protein levels with a phase length of approximately 24 hours. The properties of this feedback loop are well characterized in many insects, from the fruit fly Drosophila melanogaster, to the honeybee Apis mellifera. Though the basic principles and components of this loop are seem similar at first glance, there are important differences between the Drosophila feedback loop and that of hymenopteran insects, whose loop resembles the mammalian clock loop. The protein PERIOD (PER) is thought to be a part of the negative limb of the hymenopteran clock, partnering with CRYPTOCHROME (CRY). The anatomical location of the clock-related neurons and the PDF-network (a putative in- and output mediator of the clock) is also well characterized in Drosophila, the eusocial honeybee as well as the nocturnal cockroach Leucophea maderae. The circadian behavior, anatomy of the clock and its molecular underpinnings were studied in the carpenter ant Camponotus floridanus, a eusocial insect Locomotor activity recordings in social isolation proved that the majority of ants could entrain to different LD cycles, free-ran in constant darkness and had a temperature-compensated clock with a period slightly shorter than 24 hours. Most individuals proved to be nocturnal, but different types of activity like diurnality, crepuscularity, rhythmic activity during both phases of the LD, or arrhythmicity were also observed. The LD cycle had a slight influence on the distribution of these activities among individuals, with more diurnal ants at shorter light phases. The PDF-network of C. floridanus was revealed with the anti-PDH antibody, and partly resembled that of other eusocial or nocturnal insects. A comparison of minor and major worker brains, only revealed slight differences in the number of somata and fibers crossing the posterior midline. All in all, most PDF-structures that are conserved in other insects where found, with numerous fibers in the optic lobes, a putative accessory medulla, somata located near the proximal medulla and many fibers in the protocerebrum. A putative connection between the mushroom bodies, the optic lobes and the antennal lobes was found, indicating an influence of the clock on olfactory learning. Lastly, the location and intensity of PER-positive cell bodies at different times of a 24 hour day was established with an antibody raised against Apis mellifera PER. Four distinct clusters, which resemble those found in A. mellifera, were detected. The clusters could be grouped in dorsal and lateral neurons, and the PER-levels cycled in all examined clusters with peaks around lights on and lowest levels after lights off.
In summary, first data on circadian behavior and the anatomy and workings of the clock of C. floridanus was obtained. Firstly, it´s behavior fulfills all criteria for the presence of a circadian clock. Secondly, the PDF-network is very similar to those of other insects. Lastly, the location of the PER cell bodies seems conserved among hymenoptera. Cycling of PER levels within 24 hours confirms the suspicion of its role in the circadian feedback loop.
One of the most significant technological advances in history was driven by the utilization of a new material class: semiconductors.
Its most important application being the transistor, which is indispensable in our everyday life. The technological advance in the semiconductor industry, however, is about to slow down. Making transistors ever smaller to increase the performance and trying to reduce and deal with the dissipative heat will soon reach the limits dictated by quantum mechanics with Moore himself, predicting the death of his famous law in the next decade.
A possible successor for semiconductor transistors is the recently discovered material class of topological insulators. A material which in its bulk is insulating but has topological protected metallic surface states or edge states at its boundary. Their electrical transport characteristics include forbidden backscattering and spin-momentum-locking with the spin of the electron being perpendicular to its momentum. Topological insulators therefore offer an opportunity for high performance devices with low dissipation, and applications in spintronic where data is stored and processed at the same point.
The topological insulator Bi\(_2\)Se\(_3\) and related compounds offer relatively high energy band gaps and a rather simple band structure with a single dirac cone at the gamma point of the Brillouin zone. These characteritics make them ideal candidates to study the topological surface state in electrical transport experiments and explore its physics.
The interaction of synaptic proteins orchestrate the function of one of the most complex organs, the brain. The multitude of molecular elements influencing neurological correlations makes imaging processes complicated since conventional fluorescence microscopy methods are unable to resolve structures beyond the diffraction-limit.
The implementation of super-resolution fluorescence microscopy into the field of neuroscience allows the visualisation of the fine details of neural connectivity. The key element of my thesis is the super-resolution technique dSTORM (direct Stochastic Optical Reconstruction Microscopy) and its optimisation as a multi-colour approach. Capturing more than one target, I aim to unravel the distribution of synaptic proteins with nanometer precision and set them into a structural and quantitative context with one another. Therefore dSTORM specific protocols are optimized to serve the peculiarities of particular neural samples.
In one project the brain derived neurotrophic factor (BDNF) is investigated in primary, hippocampal neurons. With a precision beyond 15 nm, preand post-synaptic sites can be identified by staining the active zone proteins bassoon and homer. As a result, hallmarks of mature synapses can be exhibited. The single molecule sensitivity of dSTORM enables the measurement of endogenous BDNF and locates BDNF granules aligned with glutamatergic pre-synapses. This data proofs that hippocampal neurons are capable of enriching BDNF within the mature glutamatergic pre-synapse, possibly influencing synaptic plasticity.
The distribution of the metabotropic glutamate receptor mGlu4 is investigated in physiological brain slices enabling the analysis of the receptor in its natural environment. With dual-colour dSTORM, the spatial arrangement of the mGlu4 receptor in the pre-synaptic sites of parallel fibres in the molecular layer of the mouse cerebellum is visualized, as well as a four to six-fold increase in the density of the receptor in the active zone compared to the nearby environment. Prior functional measurements show that metabotropic glutamate receptors influence voltage-gated calcium channels and proteins that are involved in synaptic vesicle priming. Corresponding dSTORM data indeed suggests that a subset of the mGlu4 receptor is correlated with the voltage-gated calcium channel Cav2.1 on distances around 60 nm.
These results are based on the improvement of the direct analysis of localisation data. Tools like coordinated based correlation analysis and nearest neighbour analysis of clusters centroids are used complementary to map protein connections of the synapse. Limits and possible improvements of these tools are discussed to foster the quantitative analysis of single molecule localisation microscopy data.
Performing super-resolution microscopy on complex samples like brain slices benefits from a maximised field of view in combination with the visualisation of more than two targets to set the protein of interest in a cellular context. This challenge served as a motivation to establish a workflow for correlated structured illumination microscopy (SIM) and dSTORM. The development of the visualisation software coSIdSTORM promotes the combination of these powerful super-resolution techniques even on separated setups. As an example, synapses in the cerebellum that are affiliated to the parallel fibres and the dendrites of the Purkinje cells are identified by SIM and the protein bassoon of those pre-synapses is visualised threedimensionally with nanoscopic precision by dSTORM.
In this work I placed emphasis on the improvement of multi-colour super-resolution imaging and its analysing tools to enable the investigation of synaptic proteins. The unravelling of the structural arrangement of investigated proteins supports the building of a synapse model and therefore helps to understand the relation between structure and function in neural transmission processes.
Chronic Obstructive Pulmonary Disease (COPD) exacerbations are a considerable reason for increased morbidity and mortality in patients. Infections with influenza virus (H1N1), respiratory syncytial virus (RSV) or nontypeable Haemophilus influenzae (NTHi) are important triggers of exacerbations. To date, no treatments are available which can stop the progression of COPD. Novel approaches are urgently needed. Pre-clinical models of the disease are crucial for the development of novel therapeutic options.
In order to establish pre-clinical models which mimic aspects of human COPD exacerbations, mice were exposed to cigarette smoke (CS) and additionally infected with H1N1, RSV and/or NTHi. Clinically relevant treatments such as the corticosteroids Fluticasone propionate and Dexamethasone, the phosphodiesterase-4 (PDE-4) inhibitor Roflumilast and the long-acting muscarinic receptor antagonist Tiotropium were tested in the established models. Furthermore, a novel treatment approach using antibodies (Abs) directed against IL-1α, IL-1β or IL-1R1 was examined in the established CS/H1N1 model. Levels of IFN-γ, IL-1β, IL-2, IL-6, KC, TNF-α, RANTES, IL-17, MCP-1, MIP 1α and MIP-1β were measured in lung homogenate. Numbers of total cells, neutrophils and macrophages were assessed in bronchoalveolar lavage (BAL) fluid. Hematoxylin- and eosin- (H&E-) stained lung slices were analyzed to detect pathological changes. Quantitative polymerase-chain-reaction (qPCR) was used to investigate gene expression of ICAM-1 and MUC5 A/C. The viral/bacterial load was investigated in lung homogenate or BAL fluid. In addition to the in vivo studies, the effects of the above mentioned treatments were investigated in vitro in H1N1, RSV or NTHi-infected (primary) human bronchial epithelial cells using submerged or air-liquid-interface (ALI) cell culture systems.
Four pre-clinical models (CS/H1N1, CS/RSV, CS/NTHi, CS/H1N1/NTHi) were established depicting clinically relevant aspects of COPD exacerbations such as increased inflammatory cells and cytokines in the airways and impaired lung function.
In the CS/H1N1 model, Tiotropium improved lung function and was superior in reducing inflammation in comparison to Fluticasone or Roflumilast. Moreover, Fluticasone increased the loss of body-weight, levels of IL-6, KC and TNF-α and worsened lung function. In CS/RSV-exposed mice Tiotropium but not Fluticasone or Roflumilast treatment reduced neutrophil numbers and IL-6 and TNF α levels in the lung. The viral load of H1N1 and RSV was significantly elevated in CS/virus-exposed mice and NCI-H292 cells after Fluticasone and Dexamethasone treatment. The results from these studies demonstrate that Tiotropium has anti-inflammatory effects on CS/virus-induced inflammation and might help to explain the observed reduction of exacerbation rates in Tiotropium-treated COPD patients. Furthermore, the findings from this work indicate that treatment with Fluticasone or Dexamethasone might not be beneficial to reduce inflammation in the airways of COPD patients and supports clinical studies that link treatment with corticosteroids to an increased risk for pneumonia.
Testing of anti-IL-1α, anti-IL-1β or anti-IL-1R1 Abs in the CS/H1N1 model suggests that, in line with clinical data, antagonization of IL-1β is not sufficient to reduce pulmonary inflammation and indicates a predominant role of IL-1α in CS/virus-induced airway inflammation. In line with the in vivo findings, anti-IL-1α but not anti-IL-1β Abs reduced levels of TNF-α and IL-6 in H1N1-infected primary human bronchial epithelial ALI cell culture. Blocking the IL-1R1 provided significant inhibitory effects on inflammatory cells in vivo but was inferior compared to inhibiting both its soluble ligands IL-1α and IL-1β. Concomitant usage of Abs against IL-1α/IL-1β revealed strong effects and reduced total cells, neutrophils and macrophages. Additionally, levels of KC, IL-6, TNF-α, MCP-1, MIP-1α and MIP-1β were significantly reduced and ICAM-1 mRNA expression was attenuated. These results suggest that combined inhibition of IL-1α/IL-1β might be beneficial to reduce inflammation and exacerbations in COPD patients. Moreover, combined targeting of both IL-1α/IL-1β might be more efficient compared to inhibition of the IL-1R1.
As in the CS/virus models, corticosteroid treatment failed to reduce inflammatory cells in the CS/NTHi and CS/H1N1/NTHi models, increased the loss of body-weight and the bacterial load. Furthermore, Roflumilast administration had no significant effects on cell counts or cytokines. However, it improved compliance in the CS/NTHi model. Treatment with Azithromycin reduced the bacterial load in the CS/NTHi model and reduced numbers of total cells, neutrophils, macrophages and levels of KC and TNF-α in the CS/H1N1/NTHi model.
In conclusion, the established CS/H1N1, CS/RSV, CS/NTHi, CS/H1N1/NTHi models depict clinically relevant aspects of human COPD exacerbations in mice and provide the opportunity to investigate underlying disease mechanisms and to test novel therapies.
Imagine a technology that automatically creates a full 3D thermal model of an environment and detects temperature peaks in it. For better orientation in the model it is enhanced with color information. The current state of the art for analyzing temperature related issues is thermal imaging. It is relevant for energy efficiency but also for securing important infrastructure such as power supplies and temperature regulation systems. Monitoring and analysis of the data for a large building is tedious as stable conditions need to be guaranteed for several hours and detailed notes about the pose and the environment conditions for each image must be taken. For some applications repeated measurements are necessary to monitor changes over time. The analysis of the scene is only possible through expertise and experience.
This thesis proposes a robotic system that creates a full 3D model of the environment with color and thermal information by combining thermal imaging with the technology of terrestrial laser scanning. The addition of a color camera facilitates the interpretation of the data and allows for other application areas. The data from all sensors collected at different positions is joined in one common reference frame using calibration and scan matching. The first part of the thesis deals with 3D point cloud processing with the emphasis on accessing point cloud data efficiently, detecting planar structures in the data and registering multiple point clouds into one common coordinate system. The second part covers the autonomous exploration and data acquisition with a mobile robot with the objective to minimize the unseen area in 3D space. Furthermore, the combination of different modalities, color images, thermal images and point cloud data through calibration is elaborated. The last part presents applications for the the collected data. Among these are methods to detect the structure of building interiors for reconstruction purposes and subsequent detection and classification of windows. A system to project the gathered thermal information back into the scene is presented as well as methods to improve the color information and to join separately acquired point clouds and photo series.
A full multi-modal 3D model contains all the relevant geometric information about the recorded scene and enables an expert to fully analyze it off-site. The technology clears the path for automatically detecting points of interest thereby helping the expert to analyze the heat flow as well as localize and identify heat leaks. The concept is modular and neither limited to achieving energy efficiency nor restricted to the use in combination with a mobile platform. It also finds its application in fields such as archaeology and geology and can be extended by further sensors.
Genetic foundation of unrivaled survival strategies - Of water bears and carnivorous plants -
(2018)
All living organisms leverage mechanisms and response systems to optimize reproduction, defense, survival, and competitiveness within their natural habitat. Evolutionary theories such as the universal adaptive strategy theory (UAST) developed by John Philip Grime (1979) attempt to describe how these systems are limited by the trade-off between growth, maintenance and regeneration; known as the universal three-way trade-off. Grime introduced three adaptive strategies that enable organisms to coop with either high or low intensities of stress (e.g., nutrient deficiency) and environmental disturbance (e.g., seasons). The competitor is able to outcompete other organisms by efficiently tapping available resources in environments of low intensity stress and disturbance (e.g., rapid growers). A ruderal specism is able to rapidly complete the life cycle especially during high intensity disturbance and low intensity stress (e.g., annual colonizers). The stress tolerator is able to respond to high intensity stress with physiological variability but is limited to low intensity disturbance environments. Carnivorous plants like D. muscipula and tardigrades like M. tardigradum are two extreme examples for such stress tolerators. D. muscipula traps insects in its native habitat (green swamps in North and South Carolina) with specialized leaves and thereby is able to tolerate nutrient deficient soils. M. tardigradum on the other side, is able to escape desiccation of its terrestrial habitat like mosses and lichens which are usually covered by a water film but regularly fall completely dry. The stress tolerance of the two species is the central study object of this thesis. In both cases, high througput sequencing data and methods were used to test for transcriptomic (D. muscipula) or genomic adaptations (M. tardigradum) which underly the stress tolerance. A new hardware resource including computing cluster and high availability storage system was implemented in the first months of the thesis work to effectively analyze the vast amounts of data generated for both projects. Side-by-side, the data management resource TBro [14] was established together with students to intuitively approach complex biological questions and enhance collaboration between researchers of several different disciplines. Thereafter, the unique trapping abilities of D. muscipula were studied using a whole transcriptome approach. Prey-dependent changes of the transcriptional landscape as well as individual tissue-specific aspects of the whole plant were studied. The analysis revealed that non-stimulated traps of D. muscipula exhibit the expected hallmarks of any typical leaf but operates evolutionary conserved stress-related pathways including defense-associated responses when digesting prey. An integrative approach, combining proteome and transcriptome data further enabled the detailed description of the digestive cocktail and the potential nutrient uptake machinery of the plant. The published work [25] as well as a accompanying video material (https://www.eurekalert.org/pub_releases/ 2016-05/cshl-fgr042816.php; Video credit: Sönke Scherzer) gained global press coverage and successfully underlined the advantages of D. muscipula as experimental system to understand the carnivorous syndrome. The analysis of the peculiar stress tolerance of M. tardigradum during cryptobiosis was carried out using a genomic approach. First, the genome size of M. tardigradum was estimated, the genome sequenced, assembled and annotated. The first draft of M. tardigradum and the workflow used to established its genome draft helped scrutinizing the first ever released tardigrade genome (Hypsibius dujardini) and demonstrated how (bacterial) contamination can influence whole genome analysis efforts [27]. Finally, the
M. tardigradum genome was compared to two other tardigrades and all species present in the current release of the Ensembl Metazoa database. The analysis revealed that tardigrade genomes are not that different from those of other Ecdysozoa. The availability of the three genomes allowed the delineation of their phylogenetic position within the Ecdysozoa and placed them as sister taxa to the nematodes. Thereby, the comparative analysis helped to identify evolutionary trends within this metazoan lineage. Surprisingly, the analysis did not reveal general mechanisms (shared by all available tardigrade genomes) behind the arguably most peculiar feature of tardigrades; their enormous stress tolerance. The lack of molecular evidence for individual tardigrade species (e.g., gene expression data for M. tardigradum) and the non-existence of a universal experimental framework which enables hypothesis testing withing the whole phylum Tardigrada, made it nearly impossible to link footprints of genomic adaptations to the unusual physiological capabilities. Nevertheless, the (comparative) genomic framework established during this project will help to understand how evolution tinkered, rewired and modified existing molecular systems to shape the remarkable phenotypic features of tardigrades.
The goal of this work is to improve the understanding of adsorption-induced deformation in nanoporous (and in particular microporous) materials in order to explore its potential for material characterization and provide guidelines for related technical applications such as adsorption-driven actuation. For this purpose this work combines in-situ dilatometry measurements with in-depth modeling of the obtained adsorption-induced strains. A major advantage with respect to previous studies is the combination of the dilatometric setup and a commercial sorption instrument resulting in high quality adsorption and strain isotherms. The considered model materials are (activated and thermally annealed) carbon xerogels, a sintered silica aerogel, a sintered hierarchical structured porous silica and binderless zeolites of type LTA and FAU; this selection covers micro-, meso- and macroporous as well as ordered and disordered model materials.
All sample materials were characterized by scanning electron microscopy, gas adsorption and sound velocity measurements. In-situ dilatometry measurements on mesoporous model materials were performed for the adsorption of N2 at 77 K, while microporous model materials were also investigated for CO2 adsorption at 273 K, Ar adsorption at 77 K and H2O adsorption at 298 K. Within this work the available in-situ dilatometry setup was revised to improve resolution and reproducibility of measurements of small strains at low relative pressures, which are of particular relevance for microporous materials.
The obtained experimental adsorption and strain isotherms of the hierarchical structured porous silica and a micro-macroporous carbon xerogel were quantitatively analyzed based on the adsorption stress model; this approach, originally proposed by Ravikovitch and Neimark, was extended for anisotropic pore geometries within this work. While the adsorption in silica mesopores could be well described by the classical and analytical theory of Derjaguin, Broekhoff and de Boer, the adsorption in carbon micropores required for comprehensive nonlocal density functional theory calculations. To connect adsorption-induced stresses and strains, furthermore mechanical models for the respective model materials were derived. The resulting theoretical framework of adsorption, adsorption stress and mechanical model was applied to the experimental data yielding structural and mechanical information about the model materials investigated, i.e., pore size or pore size distribution, respectively, and mechanical moduli of the porous matrix and the nonporous solid skeleton. The derived structural and mechanical properties of the model materials were found to be consistent with independent measurements and/or literature values. Noteworthy, the proposed extension of the adsorption stress model proved to be crucial for the correct description of the experimental data.
Furthermore, it could be shown that the adsorption-induced deformation of disordered mesoporous aero-/xerogel structures follows qualitatively the same mechanisms obtained for the ordered hierarchical structured porous silica. However, respective quantitative modeling proved to be challenging due to the ill-shaped pore geometry of aero-/xerogels; good agreement between model and experiment could only be achieved for the filled pore regime of the adsorption isotherm and the relative pressure range of monolayer formation. In the intermediate regime of multilayer formation a more complex model than the one proposed here is required to correctly describe stress related to the curved adsorbate-adsorptive interface. Notably, for micro-mesoporous carbon xerogels it could be shown that micro- and mesopore related strain mechanisms superimpose one another.
The strain isotherms of the zeolites were only qualitatively evaluated. The result for the FAU type zeolite is in good agreement with other experiments reported in literature and the theoretical understanding derived from the adsorption stress model. On the contrary, the strain isotherm of the LTA type zeolite is rather exceptional as it shows monotonic expansion over the whole relative pressure range. Qualitatively this type of strain isotherm can also be explained by the adsorption stress model, but a respective quantitative analysis is beyond the scope of this work.
In summary, the analysis of the model materials' adsorption-induced strains proved to be a suitable tool to obtain information on their structural and mechanical properties including the stiffness of the nonporous solid skeleton. Investigations on the carbon xerogels modified by activation and thermal annealing revealed that adsorption-induced deformation is particularly suited to analyze even small changes of carbon micropore structures.
In this dissertation the electronic and high-energy optical properties of thin nanoscale
films of the magnetic topological insulator (MTI) (V,Cr)y(BixSb1-x)2-yTe3 are studied
by means of X-ray photoelectron spectroscopy (XPS) and electron energy-loss
spectroscopy (EELS). Magnetic topological insulators are presently of broad interest
as the combination of ferromagnetism and spin-orbit coupling in these materials
leads to a new topological phase, the quantum anomalous Hall state (QAHS), with
dissipation less conduction channels. Determining and controlling the physical
properties of these complex materials is therefore desirable for a fundamental understanding
of the QAHS and for their possible application in spintronics. EELS can
directly probe the electron energy-loss function of a material from which one can
obtain the complex dynamic dielectric function by means of the Kramers-Kronig
transformation and the Drude-Lindhard model of plasmon oscillations.
The XPS core-level spectra in (V,Cr)y(BixSb1-x)2-yTe3 are analyzed in detail with
regards to inelastic background contributions. It is shown that the spectra can be
accurately described based on the electron energy-loss function obtained from an
independent EELS measurement. This allows for a comprehensive and quantitative
analysis of the XPS data, which will facilitate future core-level spectroscopy studies
in this class of topological materials. From the EELS data, furthermore, the bulk and
surface optical properties were estimated, and compared to ab initio calculations
based on density functional theory (DFT) performed in the GW approximation
for Sb2Te3. The experimental results show a good agreement with the calculated
complex dielectric function and the calculated energy-loss function. The positions of
the main plasmon modes reported here are expected to be generally similar in other
materials in this class of nanoscale TI films. Hence, the present work introduces
EELS as a powerful method to access the high-energy optical properties of TI
thin films. Based on the presented results it will be interesting to explore more
systematically the effects of stoichiometry, magnetic doping, film thickness and
surface morphology on the electron-loss function, potentially leading to a better
understanding of the complex interplay of structural, electronic, magnetic and
optical properties in MTI nanostructures.
Coherent Multidimensional Spectroscopy in Molecular Beams and Liquids Using Incoherent Observables
(2018)
The aim of the present work was to implement an experimental approach that enables coherent two-dimensional (2D) electronic spectroscopy of samples in various states of matter. For samples in the liquid phase, a setup was realized that utilizes the sample fluorescence for the acquisition of 2D spectra. Whereas the liquid-phase approach has been established before, coherent 2D spectroscopy on gaseous samples in a molecular beam as developed in this work is in fact a new method. It employs for the first time cations in a time-of-flight mass spectrometer for signal detection and was used to obtain the first ion-selective 2D spectra of a molecular-beam sample. Additionally, a new acquisition concept was developed in this thesis that significantly decreases measurement times in 2D spectroscopy using optimized sparse sampling and a compressed-sensing reconstruction algorithm.
Characteristic for the variant of 2D spectroscopy presented in this work is the usage of a phase-coherent sequence of four laser pulses in a fully collinear geometry for sample excitation. The pulse sequence was generated by a custom-designed pulse shaper that is capable of rapid scanning by changing the pulse parameters such as time delays and phases with the repetition rate of the laser. The sample's response was detected by monitoring incoherent observables that arise from the final-state population, for instance fluorescence or cations. Phase cycling, i.e., signal acquisition with different combinations of the relative phases of the excitation pulses, was applied to extract nonlinear signal contributions from the full signal during data analysis.
Liquid-phase 2D fluorescence spectroscopy was established with the laser dye cresyl violet as a sample molecule, confirming coherent oscillations previously observed in literature that are originating from vibronic coherences in specific regions of the 2D spectrum.
The data set of this experiment was used subsequently to introduce optimized sparse sampling in 2D spectroscopy. An optimization algorithm was implemented in order to find the best sampling pattern while taking only one quarter of the regular time-domain sampling points, thereby reducing the acquisition time by a factor of four. Signal recovery was based on a new and compact representation of 2D spectra using the von Neumann basis, which required about six times less coefficients than the Fourier basis to retain the relevant information. Successful reconstruction was shown by recovering the coherent oscillations in cresyl violet from a reduced data set.
Finally, molecular-beam coherent 2D spectroscopy was introduced with an investigation of ionization pathways in highly-excited nitrogen dioxide, revealing transitions to discrete auto-ionizing states as the dominant contribution to the ion signal. Furthermore, the advantage of the time-of-flight approach to obtain reactant and product 2D spectra simultaneously enabled the observation of distinct differences in the multiphoton-ionization response functions of the nitrogen dioxide cation and the nitrogen oxide ionic fragment.
The developed experimental techniques of this work will facilitate fast acquisition of 2D spectra for samples in various states of matter and permit reliable direct comparison of results. Therefore, they pave the way to study the properties of quantum coherences during photophysical processes or photochemical reactions in different environments.
Staphylococcus aureus asymptomatically colonises one third of the healthy human population, finding its niche in the nose and on skin. Apart from being a commensal, it is also an important opportunistic human pathogen capable of destructing tissue, invading host cells and killing them from within. This eventually contributes to severe hospital- and community-acquired infections. Methicillin-resistant Staphylococcus aureus (MRSA), resistant to commonly used antibiotics are protected when residing within the host cell.
This doctoral thesis is focused on the investigation of staphylococcal factors governing intracellular virulence and subsequent host cell death. To initiate an unbiased approach to conduct this study, complex S. aureus mutant pools were generated using transposon insertional mutagenesis. Genome-wide infection screens were performed using these S. aureus transposon mutant pools in vitro and in vivo, followed by analysis using Transposon insertion site deep sequencing (Tn-seq) technology.
Amongst several other factors, this study identified a novel regulatory system in S. aureus that controls pathogen-induced host cytotoxicity and intra-host survival. The primary components of this system are an AraC-family transcription regulator called Repressor of surface proteins (Rsp) and a virulence associated non-coding RNA, SSR42. Mutants within rsp exhibit enhanced intra-host survival in human epithelial cells and delayed host cytotoxicity. Global gene-expression profiling by RNA-seq demonstrated that Rsp controls the expression of SSR42, several cytotoxins and other bacterial factors directed against the host immune system. Rsp enhances S. aureus toxin response when triggered by hydrogen peroxide, an antimicrobial substance employed by neutrophils to destroy pathogens. Absence of rsp reduces S. aureus-induced neutrophil damage and early lethality during mouse pneumonia, but still permits blood stream infection. Intriguingly, S. aureus lacking rsp exhibited enhanced survival in human macrophages, which hints towards a Trojan horse-like phenomenon and could facilitate dissemination within the host.
Hence, Rsp emerged as a global regulator of bacterial virulence, which has an impact on disease progression with prolonged intra-cellular survival, delayed-lethality but allows disseminated manifestation of disease. Moreover, this study exemplifies the use of genome-wide approaches as useful resources for identifying bacterial factors and deduction of its pathogenesis.
Neuropeptides and peptide hormones carrying neural or physiological information are intercellular signalling substances. They control most if not all biological processes in vertebrates and invertebrates by acting on specific receptors on the target cell. In mammals, many different neuropeptides and peptide hormones are involved in the regulation of feeding and sleep. In \textit{Drosophila}, allatostatin A (AstA) and myoinhibitory peptides (MIPs) are brain-gut peptides. The AstA receptors are homologues of the mammalian galanin receptors and the amino acid sequences of MIPs are similar to a part of galanin, which has an orexigenic effect and is implicated in the control of sleep behaviour in mammals. I am interested in dissecting pleiotropic functions of AstA and MIPs in the regulation of food intake and sleep in \textit{Drosophila}. \par
In the first part of the dissertation the roles of brain-gut peptide allatostatin A are analysed. Due to the genetic and molecular tools available, the fruit fly \textit{Drosophila melanogaster} is chosen to investigate functions of AstA. The aims in this part are to identify pleiotropic functions of AstA and assign specific effects to the activity of certain subsets of AstA expressing cells in \textit{Drosophila} adults. A new and restricted \textit{AstA\textsuperscript{34}-Gal4} line was generated. The confocal imaging result showed that AstA neurons are located in the posterior lateral protocerebrum (PLP), the gnathal ganglia (GNG), the medullae, and thoracic-abdominal ganglion (TAG). AstA producing DLAa neurons in the TAG innervate hindgut and the poterior part of midgut. In addition, AstA are detected in the enteroendocrine cells (EECs).\par
Thermogenetic activation and neurogenetic silencing tools with the aid of the \textit{UAS/Gal4} system were employed to manipulate the activity of all or individual subsets of AstA cells and investigate the effects on food intake, locomotor activity and sleep. Our experimental results showed that thermogenetic activation of two pairs of PLP neurons and/or AstA expressing EECs reduced food intake, which can be traced to AstA signalling by using \textit{AstA} mutants. In the locomotor activity, thermogenetic activation of two pairs of PLP neurons and/or AstA expressing EECs resulted in strongly inhibited locomotor activity and promoted sleep without sexual difference, which was most apparent during the morning and evening activity peaks. The experimental and control flies were not impaired in climbing ability. In contrast, conditional silencing of the PLP neurons and/or AstA expressing EECs reduced sleep specifically in the siesta. The arousal experiment was employed to test for the sleep intensity. Thermogenetically activated flies walked significantly slower and a shorter distance than controls for all arousal stimulus intensities. Furthermore, PDF receptor was detected in the PLP neurons and the PLP neurons reacted with an intracellular increase of cAMP upon PDF, only when PDF receptor was present. Constitutive activation of AstA cells by tethered PDF increased sleep and thermogenetic activation of the PDF producing sLNvs promoted sleep specifically in the morning and evening. \par
The study shows that the PLP neurons and/or EECs vis AstA signalling subserve an anorexigenic and sleep-regulating function in \textit{Drosophila}. The PLP neurons arborise in the posterior superior protocerebrum, where the sleep relevant dopaminergic neurons are located, and EECs extend themselves to reach the gut lumen. Thus, the PLP neurons are well positioned to regulate sleep and EECs potentially modulate feeding and possibly locomotor activity and sleep during sending the nutritional information from the gut to the brain. The results of imaging, activation of the PDF signalling pathway by tethered PDF and thermoactivation of PDF expressing sLNvs suggest that the PLP neurons are modulated by PDF from sLNv clock neurons and AstA in PLP neurons is the downstream target of the central clock to modulate locomotor activity and sleep. AstA receptors are homologues of galanin receptors and both of them are involved in the regulation of feeding and sleep, which appears to be conserved in evolutionary aspect.\par
In the second part of the dissertation, I analysed the role of myoinhibitory peptides. MIPs are brain-gut peptides in insects and polychaeta. Also in \textit{Drosophila}, MIPs are expressed in the CNS and EECs in the gut. Previous studies have demonstrated the functions of MIPs in the regulation of food intake, gut motility and ecdysis in moths and crickets. Yet, the functions of MIPs in the fruit fly are little known. To dissect effects of MIPs regarding feeding, locomotor activity and sleep in \textit{Drosophila melanogater}, I manipulated the activity of MIP\textsuperscript{WÜ} cells by using newly generated \textit{Mip\textsuperscript{WÜ}-Gal4} lines. Thermogenetical activation or genetical silencing of MIP\textsuperscript{WÜ} celles did not affect feeding behaviour and resulted in changes in the sleep status. \par
My results are in contradiction to a recent research of Min Soohong and colleagues who demonstrated a role of MIPs in the regulation of food intake and body weight in \textit{Drosophila}. They showed that constitutive silencing of MIP\textsuperscript{KR} cells increased food intake and body weight, whereas thermogenetic activation of MIP\textsuperscript{KR} cells decreased food intake and body weight by using \textit{Mip\textsuperscript{KR}-Gal4} driver. Then I repeated the experiments with the \textit{Mip\textsuperscript{KR}-Gal4} driver, but could not reproduce the results. Interestingly, I just observed the opposite phenotype. When MIP\textsuperscript{KR} cells were silenced by expressing UAS-tetanus toxin (\textit{UAS-TNT}), the \textit{Mip\textsuperscript{KR}$>$TNT} flies showed reduced food intake. The thermogenetic activation of MIP\textsuperscript{KR} cells did not affect food intake. Furthermore, I observed that the thermogenetic activation of MIP\textsuperscript{KR} cells strongly reduced the sleep duration.\par
In the third part of the dissertation, I adapted and improved a method for metabolic labelling for \textit{Drosophila} peptides to quantify the relative amount of peptides and the released peptides by mass spectrometry under different physiological and behavioural conditions. qRT-PCR is a practical technique to measure the transcription and the corresponding mRNA level of a given peptide. However, this is not the only way to measure the translation and production of peptides. Although the amount of peptides can be quantified by mass spectrometry, it is not possible to distinguish between peptides stored in vesicles and released peptides in CNS extracts. I construct an approach to assess the released peptides, which can be calculated by comparing the relative amount of peptides between two timepoints in combination with the mRNA levels which can be used as semiquantitative proxy reflecting the production of peptides during this period. \par
After optimizing the protocol for metabolic labelling, I carried out a quantitative analysis of peptides before and after eclosion as a test. I was able to show that the EH- and SIFa-related peptides were strongly reduced after eclosion. This is in line with the known function and release of EH during eclosion. Since this test was positive, I next used the metabolic labelling in \textit{Drosophila} adult, which were either fed \textit{ad libitum} or starved for 24 hrs, and analysed the effects on the amount of AstA and MIPs. In the mRNA level, my results showed that in the brain \textit{AstA} mRNA level in the 24 hrs starved flies was increased compared to in the \textit{ad libitum} fed flies, whereas in the gut the \textit{AstA} mRNA level was decreased. Starvation induced the reduction of \textit{Mip} mRNA level in the brain and gut. Unfortunately, due to technical problems I was unable to analyse the metabolic labelled peptides during the course of this thesis.\par
In mammals, anucleate blood platelets are constantly produced by their giant bone marrow (BM) progenitors, the megakaryocytes (MKs), which originate from hematopoietic stem cells. Megakaryopoiesis and thrombopoiesis have been studied intensively, but the exact mechanisms that control platelet generation from MKs remain poorly understood. Using multiphoton intravital microscopy (MP-IVM), thrombopoiesis and proplatelet formation were analyzed in the murine BM in real-time and in vivo, identifying an important role for several proteins, including Profilin1, TRPM7 and RhoA in thrombopoiesis. Currently, it is thought that blood cell precursors, such as MKs, migrate from the endosteal niche towards the vascular niche during maturation. In contrast to this paradigm, it was shown that MKs are homogeneously distributed within the dense BM blood vessel network, leaving no space for vessel-distant niches. By combining results from in vivo MP-IVM, in situ light-sheet fluorescence microscopy (LSFM) of the intact BM as well as computational simulations, surprisingly slow MK migration, limited intervascular space and a vessel-biased MK pool were revealed, contradicting the current concept of directed MK migration during thrombopoiesis.
Platelets play an essential role in hemostasis and thrombosis, but also in the pathogenesis of ischemic stroke. Ischemic stroke, which is mainly caused by thromboembolic occlusion of brain arteries, is among the leading causes of death and disability worldwide with limited treatment options. The platelet collagen receptor glycoprotein (GP) VI is a key player in arterial thrombosis and a critical determinant of stroke outcome, making its signaling pathway an attractive target for pharmacological intervention. The spleen tyrosine kinase (Syk) is an essential signaling mediator downstream of GPVI, but also of other platelet and immune cell receptors. In this thesis, it was demonstrated that mice lacking Syk specifically in platelets are protected from arterial thrombus formation and ischemic stroke, but display unaltered hemostasis. Furthermore, it was shown that mice treated with the novel, selective and orally bioavailable Syk inhibitor BI1002494 were protected in a model of arterial thrombosis and had smaller infarct sizes and a significantly better neurological outcome 24 h after transient middle cerebral artery occlusion (tMCAO), also when BI1002494 was administered therapeutically, i.e. after ischemia. These results provide direct evidence that pharmacological Syk inhibition might become a safe therapeutic strategy. The T cell receptor chain-associated protein kinase of 70 kDA (Zap-70) is also a spleen tyrosine kinase family member, but has a lower intrinsic activity compared to Syk and is expressed in T cells and natural killer (NK) cells, but not in platelets. Unexpectedly, arterial thrombus formation in vivo can occur independently of Syk kinase function as revealed by studies in Sykki mice, which express Zap-70 under the control of intrinsic Syk promoter elements.
N-MYC is a member of the human MYC proto-oncogene family, which comprises three transcription factors (C-, N- and L-MYC) that function in multiple biological processes. Deregulated expression of MYC proteins is linked to tumour initiation, maintenance and progression. For example, a large fraction of neuroblastoma displays high N-MYC levels due to an amplification of the N-MYC encoding gene. MYCN-amplified neuroblastoma depend on high N-MYC protein levels, which are maintained by Aurora-A kinase. Aurora-A interaction with N-MYC interferes with degradation of N-MYC via the E3 ubiquitin ligase SCFFBXW7. However, the underlying mechanism of Aurora-A-mediated stabilisation of N-MYC remains to be elucidated.
To identify novel N-MYC interacting proteins, which could be involved in N-MYC stabilisation by Aurora-A, a proteomic analysis of purified N-MYC protein complexes was conducted. Since two alanine mutations in MBI of N-MYC, T58A and S62A (N-MYC mut), disable Aurora-A-mediated stabilisation of N-MYC, N-MYC protein complexes from cells expressing either N-MYC wt or mut were analysed. Proteomic analysis revealed that N-MYC interacts with two deubiquitinating enzymes, USP7 and USP11, which catalyse the removal of ubiquitin chains from target proteins, preventing recognition by the proteasome and subsequent degradation. Although N-MYC interaction with USP7 and USP11 was confirmed in subsequent immunoprecipitation experiments, neither USP7, nor USP11 was shown to be involved in the regulation of N-MYC stability. Besides USP7/11, proteomic analyses identified numerous additional N-MYC interacting proteins that were not described to interact with MYC transcription factors previously. Interestingly, many of the identified N-MYC interaction partners displayed a preference for the interaction with N-MYC wt, suggesting a MBI-dependent interaction. Among these were several proteins, which are involved in three-dimensional organisation of chromatin domains and transcriptional elongation by POL II. Not only the interaction of N-MYC with proteins functioning in elongation, such as the DSIF component SPT5 and the PAF1C components CDC73 and CTR9, was validated in immunoprecipitation experiments, but also with the POL III transcription factor TFIIIC and topoisomerases TOP2A/B. ChIP-sequencing analysis of N-MYC and TFIIIC subunit 5 (TFIIIC5) revealed a large number of joint binding sites in POL II promoters and intergenic regions, which are characterised by the presence of a specific motif that is highly similar to the CTCF motif. Additionally, N-MYC was shown to interact with the ring-shaped cohesin complex that is known to bind to CTCF motifs and to assist the insulator protein CTCF. Importantly, individual ChIP experiments demonstrated that N-MYC, TFIIIC5 and cohesin subunit RAD21 occupy joint binding sites comprising a CTCF motif.
Collectively, the results indicate that N-MYC functions in two biological processes that have not been linked to MYC biology previously. Furthermore, the identification of joint binding sites of N-MYC, TFIIIC and cohesin and the confirmation of their interaction with each other suggests a novel function of MYC transcription factors in three-dimensional organisation of chromatin.
The main theme of this thesis is the development of multigrid and hierarchical matrix solution procedures with almost linear computational complexity for classes of partial integro-differential problems. An elliptic partial integro-differential equation, a convection-diffusion partial integro-differential equation and a convection-diffusion partial integro-differential optimality system are investigated. In the first part of this work, an efficient multigrid finite-differences scheme for solving an elliptic
Fredholm partial integro-differential equation (PIDE) is discussed. This scheme combines a second-order accurate finite difference discretization and a Simpson's quadrature rule to approximate the PIDE problem and a multigrid scheme and a fast
multilevel integration method of the Fredholm operator allowing the fast solution of the PIDE problem. Theoretical estimates of second-order accuracy and results of local Fourier analysis of convergence of the proposed multigrid scheme
are presented. Results of numerical experiments validate these estimates and demonstrate optimal computational complexity of the proposed framework that includes numerical experiments for elliptic PIDE problems with singular kernels. The experience gained in this part of the work is used for the investigation of convection diffusion partial-integro differential equations in the second part of this thesis.
Convection-diffusion PIDE problems are discretized using a finite volume scheme referred to as the Chang and Cooper (CC) scheme and a quadrature rule. Also for this class of PIDE problems and this numerical setting, a stability and accuracy analysis of the CC scheme combined with a Simpson's quadrature rule is presented proving second-order accuracy of the numerical solution. To extend and investigate the proposed approximation and solution strategy to the case of systems of convection-diffusion PIDE, an optimal control problem governed by this model is considered. In this case the research focus is the CC-Simpson's discretization of the optimality system and its solution by the proposed multigrid strategy. Second-order accuracy of the optimization solution is proved and results of local Fourier analysis are presented that provide sharp convergence estimates of the optimal computational complexity of the multigrid-fast integration technique.
While (geometric) multigrid techniques require ad-hoc implementation depending on the structure of the PIDE problem and on the dimensionality of the domain where the problem is considered, the hierarchical matrix framework allows a more general treatment that exploits the algebraic structure of the problem at hand. In this thesis, this framework is extended to the case of combined differential and integral problems considering the case of a convection-diffusion PIDE. In this case, the starting point is the CC discretization of the convection-diffusion operator combined with the trapezoidal quadrature rule. The hierarchical matrix approach exploits the algebraic nature of the hierarchical matrices for blockwise approximations by low-rank matrices of the sparse convection-diffusion approximation and enables data sparse representation of the fully populated matrix where all essential matrix operations are performed with at most logarithmic optimal complexity. The factorization of part of or the whole coefficient matrix is used as a preconditioner to the solution of the PIDE problem using a generalized minimum residual (GMRes) procedure as a solver.
Numerical analysis estimates of the accuracy of the
finite-volume and trapezoidal rule approximation are
presented and combined with estimates of the
hierarchical matrix approximation and with the
accuracy of the GMRes iterates. Results of numerical experiments are reported that
successfully validate the theoretical estimates and
the optimal computational complexity of the proposed hierarchical matrix
solution procedure. These results include an extension to higher dimensions and an application to the time evolution of the probability density function of a jump diffusion process.
New experimental methods have drastically accelerated the pace and quantity at which biological data is generated. High-throughput DNA sequencing is one of the pivotal new technologies. It offers a number of novel applications in various fields of biology, including ecology, evolution, and genomics. However, together with those opportunities many new challenges arise. Specialized algorithms and software are required to cope with the amount of data, often requiring substantial training in bioinformatic methods. Another way to make those data accessible to non-bioinformaticians is the development of programs with intuitive user interfaces.
In my thesis I developed analyses and programs to tackle current problems with high-throughput data in biology. In the field of ecology this covers the establishment of the bioinformatic workflow for pollen DNA meta-barcoding. Furthermore, I developed an application that facilitates the analysis of ecological communities in the context of their traits. Information from multiple public databases have been aggregated and can now be mapped automatically to existing community tables for interactive inspection. In evolution the new data are used to reconstruct phylogenetic trees from multiple genes. I developed the tool bcgTree to automate this process for bacteria. Many plant genomes have been sequenced in current years. Sequencing reads of those projects also contain data from the chloroplasts. The tool chloroExtractor supports the targeted extraction and analysis of the chloroplast genome. To compare the structure of multiple genomes specialized software is required for calculation and visualization of the relationships. I developed AliTV to address this. In contrast to existing programs for this task it allows interactive adjustments of produced graphics. Thus, facilitating the discovery of biologically relevant information. Another application I developed helps to analyze transcriptomes even if no reference genome is present. This is achieved by aggregating the different pieces of information, like functional annotation and expression level, for each transcript in a web platform. Scientists can then search, filter, subset, and visualize the transcriptome.
Together the methods and tools expedite insights into biological systems that were not possible before.
The sequencing of several ant genomes within the last six years open new research avenues for understanding not only the genetic basis of social species but also the complex systems such as immune responses in general. Similar to other social insects, ants live in cooperative colonies, often in high densities and with genetically identical or closely related individuals. The contact behaviours and crowd living conditions allow the disease to spread rapidly through colonies. Nevertheless, ants can efficiently combat infections by using diverse and effective immune mechanisms. However, the components of the immune system of carpenter ant Camponotus floridanus and also the factors in bacteria that facilitate infection are not well understood.
To form a better view of the immune repository and study the C. floridanus immune responses against the bacteria, experimental data from Illumina sequencing and mass-spectrometry (MS) data of haemolymph in normal and infectious conditions were analysed and integrated with the several bioinformatics approaches. Briefly, the tasks were accomplished in three levels. First, the C. floridanus genome was re-annotated for the improvement of the existing annotation using the computational methods and transcriptomics data. Using the homology based methods, the extensive survey of literature, and mRNA expression profiles, the immune repository of C. floridanus were established. Second, large-scale protein-protein interactions (PPIs) and signalling network of C. floridanus were reconstructed and analysed and further the infection induced functional modules in the networks were detected by mapping of the expression data over the networks. In addition, the interactions of the immune components with the bacteria were identified by reconstructing inter-species PPIs networks and the interactions were validated by literature. Third, the stage-specific MS data of larvae and worker ants were analysed and the differences in the immune response were reported.
Concisely, all the three omics levels resulted to multiple findings, for instance, re-annotation and transcriptome profiling resulted in the overall improvement of structural and functional annotation and detection of alternative splicing events, network analysis revealed the differentially expressed topologically important proteins and the active functional modules, MS data analysis revealed the stage specific differences in C. floridanus immune responses against bacterial pathogens.
Taken together, starting from re-annotation of C. floridanus genome, this thesis provides a transcriptome and proteome level characterization of ant C. floridanus, particularly focusing on the immune system responses to pathogenic bacteria from a biological and a bioinformatics point of view. This work can serve as a model for the integration of omics data focusing on the immuno-transcriptome of insects.