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This thesis describes the inclusion of dynamical effects in the theoretical calculation of Electron Paramagnetic Resonance (EPR) spectroscopic parameters. The studies were performed using Density Functional Theory (DFT) methodology and a perturbation-theoretical approach to g-tensor calculations. Hydrogen atoms trapped in octasilasesquioxane cages display unexpectly high, positive g-values. Computational simulation of these systems successfully reproduced the positive g-values and found them to arise from spin-orbit coupling around the oxygen nuclei. Dynamical effects were estimated by calculating the potential well in which the hydrogen atom moves. Semiquinone radical anions are important bioradicals that play a role in photosynthesis and respiration. The simplest and most prototypical, benzosemiquinone anion, was simulated both in the gas phase and in aqueous solution by Car-Parrinello Molecular Dynamics (CPMD). The neutral benzoquinone was also simulated for comparison. The solvation environments of both the anionic and neutral molecules were analysed and compared. EPR parameters were calculated for the semiquinone, providing the first example of full inclusion of dynamic effects in g-tensor calculation. The effects of different solvation interactions on the g-tensor and hyperfine interactions were extensively examined. Additionally, static calculations (i.e., calculations not incorporating any dynamical effects) were performed. Comparison between these (and prior computational studies) and the dynamical system allowed an assessment of the effects of dynamics on solvation and EPR parameters. Ubisemiquinone radical anion, one of the most widely-occurring semiquinone radicals, was simulated in the aqueous phase using CPMD. The solvation environment was analysed and EPR parameters were calculated. The motion of the side-chain, and its effects on solvation and EPR parameters, were examined.
Data mining has proved its significance in various domains and applications. As an important subfield of the general data mining task, subgroup mining can be used, e.g., for marketing purposes in business domains, or for quality profiling and analysis in medical domains. The goal is to efficiently discover novel, potentially useful and ultimately interesting knowledge. However, in real-world situations these requirements often cannot be fulfilled, e.g., if the applied methods do not scale for large data sets, if too many results are presented to the user, or if many of the discovered patterns are already known to the user. This thesis proposes a combination of several techniques in order to cope with the sketched problems: We discuss automatic methods, including heuristic and exhaustive approaches, and especially present the novel SD-Map algorithm for exhaustive subgroup discovery that is fast and effective. For an interactive approach we describe techniques for subgroup introspection and analysis, and we present advanced visualization methods, e.g., the zoomtable that directly shows the most important parameters of a subgroup and that can be used for optimization and exploration. We also describe various visualizations for subgroup comparison and evaluation in order to support the user during these essential steps. Furthermore, we propose to include possibly available background knowledge that is easy to formalize into the mining process. We can utilize the knowledge in many ways: To focus the search process, to restrict the search space, and ultimately to increase the efficiency of the discovery method. We especially present background knowledge to be applied for filtering the elements of the problem domain, for constructing abstractions, for aggregating values of attributes, and for the post-processing of the discovered set of patterns. Finally, the techniques are combined into a knowledge-intensive process supporting both automatic and interactive methods for subgroup mining. The practical significance of the proposed approach strongly depends on the available tools. We introduce the VIKAMINE system as a highly-integrated environment for knowledge-intensive active subgroup mining. Also, we present an evaluation consisting of two parts: With respect to objective evaluation criteria, i.e., comparing the efficiency and the effectiveness of the subgroup discovery methods, we provide an experimental evaluation using generated data. For that task we present a novel data generator that allows a simple and intuitive specification of the data characteristics. The results of the experimental evaluation indicate that the novel SD-Map method outperforms the other described algorithms using data sets similar to the intended application concerning the efficiency, and also with respect to precision and recall for the heuristic methods. Subjective evaluation criteria include the user acceptance, the benefit of the approach, and the interestingness of the results. We present five case studies utilizing the presented techniques: The approach has been successfully implemented in medical and technical applications using real-world data sets. The method was very well accepted by the users that were able to discover novel, useful, and interesting knowledge.
In this work heterostructures based on the half-Heusler alloy NiMnSb have been fabricated and characterized. NiMnSb is a member of the half-metallic ferromagnets, which exhibit an electron spin-polarization of 100% at the Fermi-level. For fabrication of these structures InP substrates with surface orientations of (001),(111)A and (111)B have been used. The small lattice mismatch of NiMnSb to InP allows for pseudomorphic layers, the (111) orientation additionally makes the formation of a half-metallic interface possible. For the growth on InP(001), procedures for the substrate preparation, growth of the lattice matched (In,Ga)As buffer layer and of the NiMnSb layer have been developed. The effect of flux-ratios and substrate temperatures on the MBE growth of the buffer as well as of the NiMnSb layer have been investigated and the optimum conditions have been pointed out. NiMnSb grows in the layer-by-layer Frank-van der Merwe growth mode, which can be seen by the intensity oscillations of the RHEED specular spot during growth. RHEED and LEED measurements show a flat surface and a well-defined surface reconstruction. High resolution x-ray measurements support this statement, additionally they show a high crystalline quality. Measurements of the lateral and the vertical lattice constant of NiMnSb films on (001) oriented substrates show that layers above a thickness of 20nm exhibit a pseudomorphic as well as a relaxed part in the same layer. Whereas layers around 40nm show partly relaxed partitions, these partitions are totally relaxed for layers above 100nm. However, even these layers still have a pseudomorphic part. Depth-dependent x-ray diffraction experiments prove that the relaxed part of the samples is always on top of the pseudomorphic part. The formation and propagation of defects in these layers has been investigated by TEM. The defects nucleate early during growth and spread until they form a defect network at a thickness of about 40nm. These defects are not typical misfit dislocations but rather antiphase boundaries which evolve in the Mn/Sb sublattice of the NiMnSb system. Dependent on the thickness of the NiMnSb films different magnetic anisotropies can be found. For layers up to 15nm and above 25nm a clear uniaxial anisotropy can be determined, while the layers with thicknesses in between show a fourfold anisotropy. Notably the easy axis for the thin layers is perpendicular to the easy axis observed for the thick layers. Thin NiMnSb layers show a very good magnetic homogeneity, as can be seen by the very small FMR linewidth of 20Oe at 24GHz. However, the increase of the linewidth with increasing thickness shows that the extrinsic damping gets larger for thicker samples which is a clear indication for magnetic inhomogeneities introduced by crystalline defects. Also, the magnetic moment of thick NiMnSb is reduced compared to the theoretically expected value. If a antiferromagnetic material is deposited on top of the NiMnSb, a clear exchange biasing of the NiMnSb layer can be observed. In a further step the epitaxial layers of the semiconductor ZnTe have been grown on these NiMnSb layers, which enables the fabrication of NiMnSb/ZnTe/NiMnSb TMR structures. These heterostructures are single crystalline and exhibit a low surface and interface roughness as measured by x-ray reflectivity. Magnetic measurements of the hysteresis curves prove that both NiMnSb layers in these heterostructures can switch separately, which is a necessary requirement for TMR applications. If a NiMn antiferromagnet is deposited on top of this structure, the upper NiMnSb layer is exchange biased by the antiferromagnet, while the lower one is left unaffected. Furthermore the growth of NiMnSb on (111) oriented substrates has been investigated. For these experiments, InP substrates with a surface orientation of (111)A and (111)B were used, which were miscut by 1 to 2° from the exact orientation to allow for smoother surfaces during growth. Both the (In, Ga)As buffer as well as the NiMnSb layer show well defined surface reconstructions during growth. X-ray diffraction experiments prove the single crystalline structure of the samples. However, neither for the growth on (111)A nor on (111)B a perfectly smooth surface could be obtained during growth, which can be attributed to the formation of pyramid-like facets evolving as a result of the atomic configuration at the surface. A similar relaxation behavior as NiMnSb layers on (001) oriented InP could not be observed. RHEED and x-ray diffraction measurements show that above a thickness of about 10nm the NiMnSb layer begins to relax, but remnants of pseudomorphic parts could not be found. Magnetic measurements show that the misorientation of the substrate crystal has a strong influence on the magnetic anisotropies of NiMnSb(111) samples. In all cases a uniaxial anisotropy could be observed. The easy axis is always aligned parallel to the direction of the miscut of the substrate.
The astronomical exploration at energies between 30\,GeV and $\lesssim$\,350\,GeV was the main motivation for building the \MAGIC-telescope. With its 17\,m \diameter\ mirror it is the worldwide largest imaging air-Cherenkov telescope. It is located at the Roque de los Muchachos at the Canary island of San Miguel de La Palma at 28.8$^\circ$\,N, 17.8$^\circ$\,W, 2200\,m a.s.l. The telescope detects Cherenkov light produced by relativistic electrons and positrons in air showers initiated by cosmic gamma-rays. The imaging technique is used to powerfully reject the background due to hadronically induced air showers from cosmic rays. Their inverse power-law energy-distribution leads to an increase of the event rate with decreasing energy threshold. For \MAGIC this implies a trigger rate in the order of 250\,Hz, and a correspondingly large data stream to be recorded and analyzed. A robust analysis software package, including the general framework \MARS, was developed and commissioned to allow automation, necessary for data taken under variable observing conditions. Since many of the astronomical sources of high-energy radiation, in particular the enigmatic gamma-ray bursts, are of a transient nature, the telescope was designed to allow repositioning in several tens of seconds, keeping a tracking accuracy of $\lesssim\,$0.01$^\circ$. Employing a starguider, a tracking accuracy of $\lesssim\,$1.3\,minutes of arc was obtained. The main class of sources at very high gamma-ray energies, known from previous imaging air-Cherenkov telescopes, are Active Galactic Nuclei with relativistic jets, the so-called high-peaked Blazars. Their spectrum is entirely dominated by non-thermal emission, spanning more than 15 orders of magnitude in energy, from radio to gamma-ray energies. Predictions based on radiation models invoking a synchrotron self-Compton or hadronic origin of the gamma-rays suggest, that a fairly large number of them should be detectable by \MAGIC. Promising candidates have been chosen from existing compilations, requiring high (synchrotron) X-ray flux, assumed to be related to a high (possibly inverse-Compton) flux at GeV energies, and a low distance, in oder to avoid strong attenuation due to pair-production in interactions with low-energy photons from the extragalactic background radiation along the line of sight. Based on this selection the first \AGN, emitting gamma-rays at 100\,GeV, 1ES\,1218+304 at a redshift of $z=0.182$, was discovered, one of the two farthest known \AGN emitting in the TeV energy region. In this context, the automated analysis chain was successfully demonstrated. The source was observed in January 2005 during six moonless nights for 8.2\,h. At the same time the collaborating \KVA-telescope, located near the \MAGIC site, observed in the optical band. The lightcurve calculated showed no day-to-day variability and is compatible with a constant flux of $F($\,$>$\,$100\,\mbox{GeV})=(8.7\pm1.4) \cdot 10^{-7}\,\mbox{m}^{-2}\,\mbox{s}^{-1}$ within the statistical errors. A differential spectrum between 87\,GeV and 630\,GeV was calculated and is compatible with a power law of $F_E(E) = (8.1\pm 2.1) \cdot 10^{-7}(E/\mbox{250\,GeV})^{-3.0\pm0.4}\,\mbox{TeV}^{-1}\,\mbox{m}^{-2}\,\mbox{s}^{-1}$ within the statistical errors. The spectrum emitted by the source was obtained by taking into account the attenuation due to pair-production with photons of the extragalactic background at low photon energies. A homogeneous, one-zone synchrotron self-Compton model has been fitted to the collected multi-wavelength data. Using the simultaneous optical data, a best fit model could be obtained from which some physical properties of the emitting plasma could be inferred. The result was compared with the so-called {\em Blazar sequence}.
Virtually all existing MRI applications require both a high spatial and high temporal resolution for optimum detection and classification of the state of disease. The main strategy to meet the increasing demands of advanced diagnostic imaging applications has been the steady improvement of gradient systems, which provide increased gradient strengths and faster switching times. Rapid imaging techniques and the advances in gradient performance have significantly reduced acquisition times from about an hour to several minutes or seconds. In order to further increase imaging speed, much higher gradient strengths and much faster switching times are required which are technically challenging to provide. In addition to significant hardware costs, peripheral neuro-stimulations and the surpassing of admissable acoustic noise levels may occur. Today’s whole body gradient systems already operate just below the allowed safety levels. For these reasons, alternative strategies are needed to bypass these limitations. The greatest progress in further increasing imaging speed has been the development of multi-coil arrays and the advent of partially parallel acquisition (PPA) techniques in the late 1990’s. Within the last years, parallel imaging methods have become commercially available,and are therefore ready for broad clinical use. The basic feature of parallel imaging is a scan time reduction, applicable to nearly any available MRI method, while maintaining the contrast behavior without requiring higher gradient system performance. PPA operates by allowing an array of receiver surface coils, positioned around the object under investigation, to partially replace time-consuming spatial encoding which normally is performed by switching magnetic field gradients. Using this strategy, spatial resolution can be improved given a specific imaging time, or scan times can be reduced at a given spatial resolution. Furthermore, in some cases, PPA can even be used to reduce image artifacts. Unfortunately, parallel imaging is associated with a loss in signal-to-noise ratio (SNR) and therefore is limited to applications which do not already operate at the SNR limit. An additional limitation is the fact that the coil array must provide sufficient sensitivity variations throughout the object under investigation in order to offer enough spatial encoding capacity. This doctoral thesis exhibits an overview of my research on the topic of efficient parallel imaging strategies. Based on existing parallel acquisition and reconstruction strategies, such as SENSE and GRAPPA, new concepts have been developed and transferred to potential clinical applications.
Background: Population pharmacokinetic-pharmacodynamic (PKPD) modeling and simulations were applied to identify optimal dosage regimens for antibiotics. As the emergence of bacterial resistance is increasing and as only a few new antibiotics became available during the last decade, optimal use of established agents and preserving their effectiveness seems vital. Objectives: 1) To find the descriptor of body size and body composition which allows to achieve target concentrations and target effects in patients with cystic fibrosis (CF) most precisely. 2) To identify the mode of administration with the highest probability of successful treatment for intravenous beta-lactams. 3) To develop formulas for optimal dose selection for patients of various body size. General methods: Drug analysis in plasma and urine was performed by HPLC or LC-MS/MS in a single laboratory, at the IBMP. Drug analysis was not done by the author of this thesis. We used non-compartmental analysis and parametric population PK analysis for all studies. We used non-parametric bootstrapping to assess the uncertainty of PK parameters for our meta-analysis of the PK in CF-patients and healthy volunteers. Plasma concentration time profiles for several thousand virtual subjects were simulated by MCS which account for average PK parameters, their between subject variability (BSV), and patient specific demographic data. Convincing literature data show that the duration of non-protein bound concentration above MIC (fT>MIC) best predicts the microbiological and clinical success of beta-lactams and the area under the non-protein bound concentration curve divided by the MIC (fAUC/MIC) best predicts success for quinolones. We used PKPD targets from literature that were based on the fT>MIC or fAUC/MIC, respectively. Achieving a PKPD target was used as a surrogate measure for successful treatment. In our MCS, we calculated the fT>MIC or fAUC/MIC for all simulated concentration profiles and compared it to the value of the PKPD target. The fraction of subjects who achieved the target at the respective MIC approximates the probability of target attainment (PTA). The PTA can be interpreted as probability of successful treatment under certain assumptions. Studies in CF-patients Methods: We had data from ten studies (seven beta-lactams and three quinolones) in CF-patients which all included a healthy volunteer control group. Clinical procedures were very similar for all ten studies. Both subject groups had study conditions as similar as possible. We had data on 90 CF-patients (average +/- SD, age: 21+/-3.6 yrs) and on 111 healthy volunteers (age: 25+/-3.5 yrs). We compared the average clearance and volume of distribution between CF-patients and healthy volunteers for various body size descriptors including total body weight (WT), fat-free mass (FFM), and predicted normal weight (PNWT). We considered linear and allometric scaling of PK parameters by body size and used a meta-analysis based on population PK parameters for the comparison of CF-patients and healthy volunteers. Target concentrations can be achieved more precisely, if a size descriptor reduces the random, unexplained BSV. Therefore, we studied the reduction of unexplained BSV for each size descriptor relative to linear scaling by WT, since doses for CF-patients are commonly selected as mg/kg WT. Results: Without accounting for body size, average total clearance was 15% lower (p=0.005) and volume of distribution at steady-state was 17% lower (p=0.001) in CF-patients compared to healthy volunteers. For linear scaling by WT, average total clearance in CF-patients divided by total clearance in healthy volunteers was 1.15 (p=0.013). This ratio was 1.06 (p=0.191) for volume of distribution. A ratio of 1.0 indicates that CF-patients and healthy volunteers of the same body size have identical average clearances or volumes of distribution. For allometric scaling by FFM or PNWT, the ratio of total clearance and volume of distribution between CF-patients and healthy volunteers was within 0.80 and 1.25 for almost all drugs and the average ratio was close to 1. Allometric scaling by FFM or PNWT reduced the unexplained BSV in renal clearance by 24 to 27% (median of 10 drugs) relative to linear scaling by WT. The unexplained BSV was reduced for seven or eight of the ten drugs by more than 15% and the remaining two or three drugs had essentially unchanged (+/-15%) unexplained BSVs in renal clearance. Conclusions: The PK in CF-patients was comparable to the PK in healthy volunteers after accounting for body size and body composition by allometric scaling with FFM or PNWT. Target concentrations and target effects in CF-patients can be achieved most precisely by dose selection based on an allometric size model with FFM or PNWT. Future studies are warranted to study the clinical superiority of allometric dosing by FFM or PNWT compared to dose selection as mg/kg WT in CF-patients.
DNA microarrays have become a standard technique to assess the mRNA levels for complete genomes. To identify significantly regulated genes from these large amounts of data a wealth of methods has been developed. Despite this, the functional interpretation (i.e. deducing biological hypothesis from the data) still remains a major bottleneck in microarray data analysis. Most available methods display the set of significant genes in long lists, from which common functional properties have to be extracted. This is not only a tedious and time-consuming task, which becomes less and less feasible with increasing numbers of experimental conditions, but is also prone to errors, since it is commonly done by eye. In the course of this work methods have been developed and tested, that allow for a computerbased analysis of functional properties being relevant in the given experimental setting. To this end the Gene Ontology was chosen as an appropriate source of annotation data, because it combines human-readability with computer-accessibility of the annotations term and thus allows for a statistical analysis of functional properties. Here the gene-annotations are integrated in a Correspondence Analysis which allows to visualize genes, hybridizations and functional categories in a single plot. Due to the increasing amounts of available annotations and the fact that in most settings only few functional processes are differentially regulated, several filter criteria have been developed to reduce the number of displayed annotations to a set being relevant in the given experimental setting. The applicability of the presented visualization and filtering have both been validated on datasets of varying complexity. Starting from the well studied glucose-pathway in S. cerevisiae up to the comparison of different tumor types in human. In both settings the method generated well interpretable plots, which allowed for an immediate identification of the major functional differences between the experimental conditions [90]. While the integration of annotation data like GO facilitates functional interpretation, it lacks the capability to identify key regulatory elements. To facilitate such an analysis, the occurrence of transcription factor binding sites in upstream regions of genes has been integrated to the analysis as well. Again this methodology was biologically validated on S. cerevisiae as well human cancer data sets. In both settings TFs known to exhibit central roles for the observed transcriptional changes were plotted in marked positions and thus could be immediately identified [206]. In essence, integration of supplementary information in Correspondence Analysis visualizes genes, hybridizations and annotation data in a single, well interpretable plot. This allows for an intuitive identification of relevant annotations even in complex experimental settings. The presented approach is not limited to the shown types of data, but is generalizable to account for the majority of the available annotation data.
As a traditional industrial pigment, perylene bisimide (PBI) dyes have found wide-spread applications. In addition, PBI dyes have been considered as versatile and promising functional materials for organic-based electronic and optic devices, such as transistors and solar cells. For these novel demands, the control of self-organization of this type of dye and the investigation of the relationship between the supramolecular structure and the relevant optical and electronic properties is of great importance. The objective of this thesis focuses on gaining a better understanding of structural and functional properties of pi-stacks based on self-assembling PBIs. Studies include the synthesis and characterization of new functional PBI dyes, their aggregation in solution, in liquid crystalline state and on surfaces, and their fluorescence and charge transport properties. An overview of the formation, thermodynamics and structures of pi-stacks of functional pi- conjugated molecules in solution and in liquid crystalline phases is given in Chapter 2. Chapters 3 and 4 deal with the pi-pi aggregates of new, highly fluorescent PBIs without core-substituents. In Chapter 3, the self-assembly of a PBI with tridodecylphenyl substituents at imide N atoms both in solution and condensed phase has been studied in great detail. In condensed state, the dye exhibits a hexagonal columnar liquid crystalline (LC) phase as confirmed by DSC, OPM and X-ray diffraction analysis. The columnar stacking of this dye has been further confirmed by atomic force microscopy (AFM) where single columns could be well resolved The charge transport properties this dye have been investigated by pulse radiolysis-time resolved microwave conductivity (PR-TRMC) measurements. To shed more light on the nature of the pi-pi interaction of the unsubstituted PBIs, solvent depend aggregation properties have been investigated in Chapter 4. The studies are further extended from core-unsubstituted PBIs to core-substituted ones (Chapter 5 and 6). In Chapter 5, a series of highly soluble and fluorescent core-twisted PBIs that bear the same trialkylphenyl groups at the imide positions but different bay-substituents and were synthesized. These compounds are characterized by distortions of the perylene planes with dihedral angles in the range of 15-37° according to crystallographic data and molecular modeling studies. In contrast to the extended oligomeric aggregates formed for planar unsubstituted PBIs, this family of dyes formed discrete pi-pi-stacked dimers in apolar methylcyclohexane as concentration-dependent UV/Vis measurements and VPO analysis revealed. The Gibbs free energy of dimerization can be correlated with the twist angles of the dyes linearly. In condensed state, several of these PBIs form luminescent rectangular or hexagonal columnar liquid crystalline phases with low isotropization temperatures. The core-twisting effect on semiconducting properties has been examined in Chapter 6. In this chapter, a comparative study of the electrochemical and the charge transport properties of a series of non-substituted and chlorine-functionalized PBIs was performed. While Chapters 3-6 focus on one-component dye systems, Chapter 7 explored the possibility of a supramolecular engineering of co-aggregates formed by hydrogen-bonded 2:1 and 1:1 complex of oligo(p-phenylene vinylene)s (OPVs) and PBIs. Covalently linked donor-acceptor dye arrays have been prepared for comparison. Concentration and temperature-dependent UV/Vis spectroscopy revealed all hydrogen-bonded and covalent systems form well-ordered J-type aggregates in methylcyclohexane. With these hydrogen-bonded OPV-PBI complexes, fibers containing p-type and n-type molecules can be prepared on the nano-scale (1-20 nm). For the 2:1 OPV-PBI hydrogenbonded arrays hierarchically assembled chiral superstructures consisting of left-handed helical pi-pi co-aggregates (CD spectroscopy) of the two dyes that further assemble into right-handed nanometer-scale supercoils in the solid state (AFM study) have been observed. All of these well-defined OPV-PBI assemblies presented here exhibit photoinduced electron transfer on sub-ps timescale, while the electron recombination differs for different systems.Thus, it was suggested that such assemblies of p- and n-type semiconductors might serve as valuable nanoscopic functional units for organic electronics.
In this thesis two genes involved in causing neurodegenerative phenotypes in Drosophila are described. olk (omb-like), a futsch allele, is a micotubule associated protein (MAP) which is homologous to MAP1B and sws (swiss cheese) a serine esterase of yet unknown function within the nervous system. The lack of either one of these genes causes progressive neurodegeneration in two different ways. The sws mutant is characterized by general degeneration of the adult nervous system, glial hyperwrapping and neuronal apoptosis. Deletion of NTE (neuropathy target esterase), the SWS homolog in vertebrates, has been shown to cause a similar pattern of progressive neural degeneration in mice. NTE reacts with organophosphates causing axonal degeneration in humans. Inhibition of vertebrate NTE is insufficient to induce paralyzing axonal degeneration, a reaction called "aging reaction" is necessary for the disease to set in. It is hypothesized that a second "non-esterase" function of NTE is responsible for this phenomenon. The biological function of SWS within the nervous system is still unknown. To characterize the function of this protein several transgenic fly lines expressing different mutated forms of SWS were established. The controlled expression of altered SWS protein with the GAL4/UAS system allowed the analysis of isolated parts of the protein that were altered in the respective constructs. The characterization of a possible non-esterase function was of particular interest in these experiments. One previously described aberrant SWS construct lacking the first 80 amino acids (SWSΔ1-80) showed a deleterious, dominant effect when overexpressed and was used as a model for organophosphate (OP) intoxication. This construct retains part of its detrimental effect even without catalytically active serine esterase function. This strongly suggests that there is another characteristic to SWS that is not defined solely by its serine esterase activity. Experiments analyzing the lipid contents of sws mutant, wildtype (wt) and SWS overexpressing flies gave valuable insights into a possible biological function of SWS. Phosphatidylcholine, a major component of cell membranes, accumulates in sws mutants whereas it is depleted in SWS overexpressing flies. This suggests that SWS is involved in phosphatidylcholine regulation. The produced α-SWS antibody made it possible to study the intracellular localization of SWS. Images of double stainings with ER (endoplasmic reticulum) markers show that SWS is in great part localized to the ER. This is consistent with findings of SWS/ NTE localization in yeast and mouse cells. The olk mutant also shows progressive neurodegeneration but it is more localized to the olfactory system and mushroom bodies. Regarding specific cell types it seemed that specifically the projection neurons (PNs) are affected. A behavioral phenotype consisting of poor olfactory memory compared to wt is also observed even before histologically visible neurodegeneration sets in. Considering that the projection neurons connect the antennal lobes to the mushroom bodies, widely regarded as the "learning center", this impairment was expected. Three mutants where identified (olk1-3) by complementation analysis with the previously known futschN94 allele and sequencing of the coding sequence of olk1 revealed a nonsense mutation early in the protein. Consistent with the predicted function of Futsch as a microtubule associated protein (MAP), abnormalities are most likely due to a defective microtubule network and defects in axonal transport. In histological sections a modified cytoskeletal network is observed and western blots confirm a difference in the amount of tubulin present in the olk1 mutant versus the wt. The elaboration of neuronal axons and dendrites is dependent on a functional cytoskeleton. Observation of transport processes in primary neural cultures derived from olk1 mutant flies also showed a reduction of mitochondrial transport. Interaction with the fragile X mental retardation gene (dfmr1) was observed with the olk mutant. A dfmr1/ olk1 double mutant shows an ameliorated phenotype compared to the olk1 single mutant. tau, another MAP gene, was also shown to be able to partially rescue the olk1 mutant.
In this study pore forming proteins of the gram-negative bacteria B. burgdorferi, B. duttonii and E.coli were investigated. Therefore the study is subdivided into three parts. In the first part outer membrane preparation of three relapsing fever Borrelia were investigated. In the second part the putative TolC homologue BB0124 of B. burgdorferi, the Lyme borreliosis agent, was studied. In the last part the influence of point mutants within the greasy slide of the maltose specific porin (LamB) of E. coli were shown. In the first part of this study outer membrane preparations of three Borrelia relapsing fever strains have been studied for pore-forming activity in the black lipid bilayer assay. Histograms of conductance fluctuations were obtained from single-channel experiments with outer membrane preparations of B. hermsii, B. recurentis and B. duttonii. All strains had a different conductance fluctuation pattern with a broad range of single-channel conductance values varying from 0.5 nS – 11 nS. Common for all three strains was a high pore-forming activity at around 0.5 nS. Furthermore the proteins of the outer membrane of B. duttonii were separated by chromatographic methods. Some eluate fractions contained a channel-forming protein, which was forming stable channels with a single-channel conductance of 80 pS in 1 M KCl. Characterization of this channel showed that it is slightly anionic selective and voltage independent. The small single-channel conductance suggests that it is a specific pore. However, a substrate specificity could not be determined. In the second part, for the B. burgdorferi HB19 and p66 knock out strain HB19/K02, their outer membrane preparations were characterized in the black lipid bilayer assay. Comparing the histograms of single-channel conductions fluctuations of both strains showed no single-channel activity at 11.5 nS for the p66 knock out strain. This verifies earlier studies that P66 is a pore-forming protein in B. burgdorferi. Furthermore, one fraction obtained by anion exchange chromatography of the p66 knock out outer membrane protein preparation showed a uniform channel-forming activity with a single channel conductance of 300 pS. The electrophysically characterization of the 300 pS channel showed that it is not ionselective or voltage dependent. By mass spectrometry using peptide mass finger prints, BB0142 could be identified as the sole channel forming candidate in the active fraction. A BLAST search and a conserved domain search showed that BB0142 is a putative TolC homologue in B. burgdorferi. Furthermore the location of the bb0142 gene within the chromosome is in an operon encoding a multidrug efflux pump. In this study the expression of an outer membrane component of a putative drug efflux system of B. burgdorferi was shown for the first time. In the third part functional studies of the maltooligosaccharide-specific LamB channel were performed. The 3D-structure of LamB suggests that a number of aromatic residues (Y6, Y41, W74, F229, W358 and W420) within the channel lumen is involved in carbohydrate and ion transport. All aromatic residues were replaced by alanine (A) scanning mutagenesis. Furthermore, LamB mutants were created in which one, two, three, four and five aromatic residues were replaced to study their effects on ion and maltopentaose transport through LamB. The purified mutant proteins were reconstituted into lipid bilayer membranes and the single-channel conductance was studied. The results suggest that all aromatic residues provide some steric hindrance for ion transport through LamB. Highest impact is provided by Y6 and Y41, which are localized opposite to Y118, which forms the central constriction of the LamB channel. Stability constants for binding of maltopentaose to the mutant channels were measured using titration experiments with the carbohydrate. The mutation of one or several aromatic amino acids led to a substantial decrease of the stability constant of binding. The highest effect was observed when all aromatic amino acids were replaced by alanine because no binding of maltopentaose could be detected in this case. However, binding was again possible when Y118 was replaced by tryptophane (W). The carbohydrate-induced block of the channel function could also be used for the study of current noise through the different mutant LamB-channels. The analysis of the power density spectra of some of the mutants allowed the evaluation of the on- and off-rate constants (k1 and k-1) of carbohydrate binding to the binding-site inside the channels. The results suggest that both on- and off-rate constants were affected by the mutations. For most mutants k1 decreased and k-1 increased.