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Sonstige beteiligte Institutionen
The majority of breast cancer patients will require radiation therapy at some time during the course of their disease. An estimated 30–50% of all radiation treatments are of palliative nature, either to alleviate symptoms or prophylactic to prevent deterioration of quality of life due to locally progressive disease. Radiotherapy is a locally effective tool, and typically causes no systemic and mostly mild acute side effects. The following article provides an overview of options and decision-making in palliative radiotherapy for symptom control.
For the EU “effective multilateralism” in, with and within international organisations is the foundation of a system of global governance, so is laid down in the ESS. Therefore the term is used to label the EU’s activities in the UN-family and to characterise the relations with the UN in the wider context of global governance. It is the political argument for the EU’s commitment in military crisis management, side by side with UN peacekeepers. The UN in turn speaks of multilateralism to call for the EU’s loyalty and partnership. Both organisations build their partnership on the common normative ground of multilateralism. The paper questions these rhetorical denominations critically. It goes beyond the political declarations to analyse the degree and quality of “effective multilateralism” in reality in and with international organisations, using the example of UN-EU-relations in military crisis management. The theoretical approach of multilateralism serves as the starting point of the analysis and theoretical basis of the paper (Chapter 1). The special EU-touch in “effective multilateralism” in comparison to the “UN-touch” is subject of Chapter 2. This analysis is necessary due to the meanwhile inflationary use of the term “effective multilateralism” in almost every CSFP context. Are the institutional steps to a partnership in crisis management as well as the operational collaboration in DR Congo (2003/2006/2009) and Chad/CAR (2008/2009) in line with “multilateralism”? is the question that is answered in the paper (Chapter 3).
The delicate anatomical structures involved in infant cry production require intricate neurophysiological control especially in premature infants or those with a reduced respiratory or laryngeal function. Certain features like phonatory noise or subharmonics can be observed in infant cries using spectrograms. These features have a certain indicative valence for characterising the maturation stage of vocal control or its performance. One possible cause of deviation in neurophysiological coordination during voice production is disturbed CNS mechanisms, finally the consequences of orofacial clefts. Another is the influence of a familiar disposition for speech development disorders. The present paper studied the latter two relationships. For the evaluation and interpretation of a noise index (= average value of the noise portion within a cry) in infant’s pre-speech utterances, we analysed 1423 voice-signals emitted during the first 15 weeks of life by 10 orofacial cleft infants (5 females and 5 males), comparing these with a control group. The control group B of healthy infants was subdivided into B1 (FH- infants with a negative family history of speech developmental disorders) and B2 (FH+ infants with a positive family history of speech developmental disorders). Infants born with orofacial clefts are substantially exposed to severe difficulties for speech and language acquisition. Coupled with a premature muscle network, cleft infants are deprived in various ways (vocal nasality, limited consonant repertetoire, backward articulation etc) and their coordination of respiration, phonation and articulation is limited from a very early age. From birth until about 2 months of age, an infant's cry is characterised by a tuning phase between respiration and phonation. After training the production of more complex cry melodies with different rhythms, infants begin at 3 - 4 months of age (Wermke et al., 2005) to tune their phonation and articulation. Successfully absolving these stages of development is presumably a prerequisite for later acquisition of inconspicuous speech and language competence. The development of articulation is based on the tuning of melodies produced in the larynx and resonant frequencies from the vocal tract (Kempf, 2008). For an objective evaluation of pre-speech development in healthy and sick infants, this study produced comparable data on the appearance of selected parameters in age-appropriate control groups. In order to examine the connection between these selected cry properties and the physiological condition in infants, we made comparisons to 2623 voice-signals from 10 FH+ infants and 3002 voice-signals from 10 FH- infants (all without orofacial clefts and age-appropriates). For interpretations of future results, we also analysed 2684 voice-signals from 4 infants in the control group B1 (FH-) taken at closer time intervals until the 20th week of life. This study showed that the appearance of noise-like elements (NI) in the vocalizations of orofacial cleft infants and FH+ infants were identical during the first 15 weeks of life. Also, we could show that in both these groups (A and B2) there was a delayed development in the average signal length (phonation time). Although cleft infants and FH+ infants differ from each other physiologically, our results may propose a common neurophysiological retardation. Comparing prosodic elements in cries from FH+ and FH- infants showed differences (Blohm, 2007; Denner, 2007). Therefore, future research could apply this knowledge to a larger sample of infants in order to establish a better therapy concept, thus preventing late interventions. Infants from our control group B1 (FH-) met our expectations because when they got older, a development in their pre-speech capability was noticed. Our results support the hypothesis that in cry research, physiological differences (orofacial clefts or a family history for speech development disorders) in infants may encourage the appearance of noise-like elements in their vocalisations. However we believe that a period of training enables the infants to reduce their mean NI. The production of more complex melodies with age was better managed by the FH- infants and they also produced longer cries. To avoid a developmental retardation in speech and learning capabilities, it may be necessary in future to make more compact studies considering many other parameters and making comparisons with age-appropriates. Further studies also have to correlate these findings while investigating the consequences of these maturation processes on sound production. Despite physiological differences in the three groups of infants, the noise index (NI) as applied in this study can be used as an objective parameter for daily clinical diagnosis during the first four months of life.
The present work presents investigations on energy and charge transport properties in organic crystals. Chapter 4 treats exciton transport in anthracene, which is an example for weakly coupled π-systems. The electronic coupling parameter is evaluated by the monomer transition density approach. With these and the reorganization energy hopping rates are calculated in the framework of the Marcus theory. Together with the knowledge of the crystal structure, these allow us to calculate the experimental accessible exciton diffusion lengths, whose isotropic part fits nicely within the scattering of experimental values found in the literature. Furthermore, the anisotropy of the exciton diffusion lengths is reproduced qualitatively and quantitatively correct. This chapter also contains studies about electron and hole transport in both polymorphs (α and β) of perylene. Reorganization energies as well as diffusion coefficients for both crystal structures and types of charge transport were calculated. The best transport is hole transport in β-perylene, but it is strongly isotropic. The preferred transport direction is along the b-axis of the unit cell with couplings of greater than 100 meV. However, there is no transport along the c-axis. The diffusion constant in b-direction is bigger by two orders of magnitude than in c-direction (62.7•10-6 m2/s vs. 0.4•10-6 m2/s). Charge transport is calculated to be strongly anisotropic for holes as well as electrons in both modifications. To verify these results experimental electron mobilities have been compared to the simulations. Good agreement was found with errors of less than 27%. As it was shown above, the calculation and measurement of transport properties between weakly coupled systems is possible. However, it is difficult to exactly determine the quality of the electronic coupling. For this reason a collaboration about strongly interacting π-systems was started between us and the research group of Prof. Ingo Fischer. There, [2.2]paracyclophanes and its derivates were investigated to show how hydroxyl substitution influences absorption properties. Overall, a combination of SCS-MP2 and SCS-CC2 performs best to address the description of geometric and electronic structures for both ground and excited states of these model systems as well as their parent compounds benzene and phenol. Only [2.2]paracyclophane shows a double minimum potential regarding a twist and shift motion between the benzene/phenol subunits towards each other. All other systems are less flexible due to their substitution pattern. Almost all [2.2]paracyclophanes display minor changes in their geometric structure upon excitation to the S1 state: The inter-ring distance shortens, but qualitatively they keep their shift and twist characteristics, although the extent of these deformations diminishes. The exception is p-DHPC, which turns from a shifted ground state structure into a twisted excited state structure. Consequently, the intensity of the 0-0 transition cannot be observed experimentally due to small Franck-Condon factors and impurities of o-DHPC. In the present thesis, the structures and their changes due to excitation are explained by electrostatic potentials as well as antibonding (bonding) HOMO (LUMO) orbitals. Adiabatic excitation energies have been corrected by ZPEs and result in accuracies with errors smaller than 0.1 eV. Note that corrections on the B3LYP level worsen the results and one has to apply SCS-CC2 to achieve this accuracy. These calculations allow an interpretation of the experimental [1+1]REMPI spectra. Band progressions of the twist, shift and breathing of the [2.2]paracyclophane skeleton vibrations have been identified and show good agreement to the experiment. This work shows that the substitution pattern in [2.2]paracyclophanes can have a significant impact on spectroscopic properties. Because these properties are directly linked to the transport properties of these materials, the hereby gained insight can be used to design materials with customized transport properties. It was shown that the SCS-CC2 method is very appropriate to predict the interaction between the π-systems
In this thesis we consider a reactive transport model with precipitation dissolution reactions from the geosciences. It consists of PDEs, ODEs, algebraic equations (AEs) and complementary conditions (CCs). After discretization of this model we get a huge nonlinear and nonsmooth equation system. We tackle this system with the semismooth Newton method introduced by Qi and Sun. The focus of this thesis is on the application and convergence of this algorithm. We proof that this algorithm is well defined for this problem and local even quadratic convergent for a BD-regular solution. We also deal with the arising linear equation systems, which are large and sparse, and how they can be solved efficiently. An integral part of this investigation is the boundedness of a certain matrix-valued function, which is shown in a separate chapter. As a side quest we study how extremal eigenvalues (and singular values) of certain PDE-operators, which are involved in our discretized model, can be estimated accurately.
The study of animal development is one of the oldest disciplines in the field of biology and the collected data from countless investigations on numerous species have formed a general understanding of the animal life-cycle. Almost one century ago, one consequence of these intense investigations was the discovery of specific morphological changes that occur during the cleavage phase, a period that follows fertilization and egg activation at the very beginning of animal embryogenesis. These observations resulted into the formulation of the concept of a midblastula transition (MBT). So far, the mechanism of the nucleo-cytoplasmic ratio model is the only one that explains MBT regulation in a satisfying way. It suggests that the MBT is controlled by several maternal repressive factors in the egg, which are titrated out by every cell division until they lose their repressing potential. Although this regulatory mechanism was proven for several species and in different approaches, it is still only a rudimentary model for MBT control and leaves numerous questions unanswered. On this conceptual background, this thesis has shown that embryos from the medaka fish (Oryzias latipes) lose their cell cycle synchrony already after the fourth or fifth round of cell divisions, and replace it by a metasynchronous divisions pattern, in which cell division occurs in clear waves beginning in the embryo's center. The reason for this change in division mode is still unknown, although several hypotheses were put forward, most notable a difference in yolk-access between cells. However, this theory was weakened by division waves that progressed from one embryonic pole to the opposing one, which were occasionally observed in deformed embryos, leaving the mechanism for this phenomenon furthermore unclear. Those deformed embryos were most likely the result of asymmetric cell divisions at very early stages, a phenomenon which occurred in a significant percentage of medaka embryos and which directly influenced the equal distribution of cytoplasmic material. It could not beuncovered what kind of effects this unequal distribution of cytoplasm exerted on the progression of embryonic development, but it can be argued that relevant differences in cell volumes could result in cell clusters that will enter MBT at different time points. Comparable observations were already made in other species and it was hypothesized that they were the direct results of early unequal cell cleavages. Finally, it was demonstrated that zygotic transcription in medaka embryos is activated prior to the hitherto assumed time of the first transcriptional initiation. Moreover, indications were found that strongly speak for a transcriptional activation that occurs in two steps; a first step at the 16-cell stage when first cells were identified positive for RNAPII phosphorylation, and a second step at the 64-cell stage, when the number of p-RNAPII positive cells significantly increased. A stepwise activation of zygotic transcription was already observed in other species, but only for the overall increasing amount of mRNAs and irrespective of the actual number of transcriptionally active cells within the embryos. .. Overall, these data confirm and expand the basic knowledge of pre-MBT embryos and about the MBT itself. Furthermore, they also suggest that many early processes in pre-MBT embryos are only rudimentarily understood or still totally unknown.
This paper discusses the categorization of Quranic chapters by major phases of Prophet Mohammad’s messengership using machine learning algorithms. First, the chapters were categorized by places of revelation using Support Vector Machine and naïve Bayesian classifiers separately, and their results were compared to each other, as well as to the existing traditional Islamic and western orientalists classifications. The chapters were categorized into Meccan (revealed in Mecca) and Medinan (revealed in Medina). After that, chapters of each category were clustered using a kind of fuzzy-single linkage clustering approach, in order to correspond to the major phases of Prophet Mohammad’s life. The major phases of the Prophet’s life were manually derived from the Quranic text, as well as from the secondary Islamic literature e.g hadiths, exegesis. Previous studies on computing the places of revelation of Quranic chapters relied heavily on features extracted from existing background knowledge of the chapters. For instance, it is known that Meccan chapters contain mostly verses about faith and related problems, while Medinan ones encompass verses dealing with social issues, battles…etc. These features are by themselves insufficient as a basis for assigning the chapters to their respective places of revelation. In fact, there are exceptions, since some chapters do contain both Meccan and Medinan features. In this study, features of each category were automatically created from very few chapters, whose places of revelation have been determined through identification of historical facts and events such as battles, migration to Medina…etc. Chapters having unanimously agreed places of revelation were used as the initial training set, while the remaining chapters formed the testing set. The classification process was made recursive by regularly augmenting the training set with correctly classified chapters, in order to classify the whole testing set. Each chapter was preprocessed by removing unimportant words, stemming, and representation with vector space model. The result of this study shows that, the two classifiers have produced useable results, with an outperformance of the support vector machine classifier. This study indicates that, the proposed methodology yields encouraging results for arranging Quranic chapters by phases of Prophet Mohammad’s messengership.
An animal depends heavily on its sense of smell and its ability to form olfactory associations as this is crucial for its survival. This thesis studies in two parts about such associative olfactory learning in larval Drosophila. The first part deals with different aspects of odour processing while the second part is concerned with aspects related to memory and learning. Chapter I.1 highlights how odour intensities could be integrated into the olfactory percept of larval Drosophila. I first describe the dose-effect curves of learnability across odour intensities for different odours and then choose odour intensities from these curves such that larvae are trained at intermediate odour intensity, but are tested for retention with either that trained intermediate odour intensity, or with respectively HIGHer or LOWer intensities. I observe a specificity of retention for the trained intensity for all the odours used. Further I compare these findings with the case of adult Drosophila and propose a circuit level model of how such intensity coding comes about. Such intensity specificity of learning adds to appreciate the richness in 'content' of olfactory memory traces, and to define the demands on computational models of olfaction and olfactory learning. Chapter I.2 provides a behaviour-based estimate of odour similarity using four different types of experiments to yield a combined, task-independent estimate of perceived difference between odour-pairs. Further comparison of these perceived differences to published measures of physico- chemical difference reveals a weak correlation. Notable exceptions to this correlation are 3-octanol and benzaldehyde. Chapter I.3 shows for two odours (3-octanol and 1-octene-3-ol) that perceptual differences between these odours can either be ignored after non-discriminative training (generalization), or accentuated by odour-specific reinforcement (discrimination). Anosmic Or83b1 mutants have lost these faculties, indicating that this adaptive adjustment is taking place downstream of Or83b expressing sensory neurons. Chapter II.1 of this thesis deals with food supplementation with dried roots of Rhodiola rosea. This dose-dependently improves odour- reward associative function in larval Drosophila. Supplementing fly food with commercially available tablets or extracts, however, does not have a 'cognitive enhancing' effect, potentially enabling us to differentiate between the effective substances in the root versus these preparations. Thus Drosophila as a genetically tractable study case should now allow accelerated analyses of the molecular mechanism(s) that underlie this 'cognitive enhancement' conveyed by Rhodiola rosea. Chapter II.2 describes the role of Synapsin, an evolutionarily conserved presynaptic phosphoprotein using a combined behavioural and genetic approach and asks where and how, this protein affects functions in associative plasticity of larval Drosophila. This study shows that a Synapsin-dependent memory trace can be pinpointed to the mushroom bodies, a 'cortical' brain region of the insects. On the molecular level, data in this study assign Synapsin as a behaviourally- relevant effector of the AC-cAMP-PKA cascade.
We consider the prospects for a neutrino factory measuring mixing angles, the CP violating phase and mass-squared differences by detecting wrong-charge muons arising from the chain $\mu^+\to\nu_e\to\nu_\mu\to\mu^-$ and the right-charge muons coming from the chain $\mu^+\to\bar{\nu}_\mu\to\bar{\nu}_\mu\to\mu^+$ (similar to $\mu^-$ chains), where $\nu_e\to\nu_\mu$ and $\bar{\nu}_\mu\to\bar{\nu}_\mu$ are neutrino oscillation channels through a long baseline. First, we study physics with near detectors and consider the treatment of systematic errors including cross section errors, flux errors, and background uncertainties. We illustrate for which measurements near detectors are required, discuss how many are needed, and what the role of the flux monitoring is. We demonstrate that near detectors are mandatory for the leading atmospheric parameter measurements if the neutrino factory has only one baseline, whereas systematic errors partially cancel if the neutrino factory complex includes the magic baseline. Second, we perform the baseline and energy optimization of the neutrino factory including the latest simulation results from the magnetized iron neutrino detector (MIND). We also consider the impact of $\tau$ decays, generated by appearance channels $\nu_\mu \rightarrow \nu_\tau$ and $\nu_e \rightarrow \nu_\tau$, on the discovery reaches of the mass orderings, the leptonic CP violation, and the non-zero $\theta_{13}$, which we find to be negligible for the considered detector. Third, we make a comparison of a high energy neutrino factory to a low energy neutrino factory and find that they are just two versions of the same experiment optimized for different regions of the parameter space. In addition, we briefly comment on whether it is useful to build the bi-magic baseline at the low energy neutrino factory. Finally, the effects of one additional massive sterile neutrino are discussed in the context of a combined short and long baseline setup. It is found that near detectors can provide the required sensitivity at the LSND-motivated $\Delta m_{41}^2$-range, while some sensitivity can also be obtained in the region of the atmospheric mass splitting introduced by the sterile neutrino from the long baselines.
Marine sponges and their associated bacteria have been proven to be a rich source of novel secondary metabolites with therapeutic usefulness in infection and autoimmunity. This Ph.D. project aimed to isolate bioactive secondary metabolites from the marine sponges Amphimedon compressa, Aiolochroia crassa and Theonella swinhoei as well as from bacteria associated with different Caribbean sponges, specifically actinomycetes and sphingomonads. In this study, amphitoxin was isolated from the crude methanol extract of the sponge A. compressa and it was found to have antibacterial and anti-parasitic activities. Amphitoxin showed protease inhibitory activity when tested against the mammalian protease cathepsin B and the parasitic proteases rhodesain and falcipain-2. Furthermore, miraziridine A was identified in the dichloromethane extract of the sponge T. swinhoei collected offshore Israel in the Red Sea. Miraziridine A, a natural peptide isolated previously from the marine sponge Theonella aff. mirabilis, is a potent cathepsin B inhibitor with an IC50 value of 1.4 g/mL (2.1 M). Secondary metabolites from sponge-derived bacteria were also isolated and identified. A total of 79 strains belonging to 20 genera of the order Actinomycetales and seven strains belonging to two genera of the order Sphingomonadales were cultivated from 18 different Caribbean sponges and identified by 16S rRNA gene sequencing. Seven of these strains are likely to represent novel species. Crude extracts from selected strains were found to exhibit protease inhibition against cathepsins B and L, rhodesain, and falcipain-2 as well as immunomodulatory activities such as induction of cytokine release by human peripheral blood mononuclear cells. The isolates Sphingobium sp. CO105 and Lapillicoccus sp. BA53 were selected for cultivation, extraction and purification of bioactive metabolites based on initial bioactive screening results. The isoalloxazine isolumichrome was isolated from the strain Sphingobium sp. CO105 which inhibited the protease rhodesain with an IC50 of 0.2 M. The strain Lapillicoccus sp. BA53 was found to produce p-aminosalicylic acid methyl ester, which showed activity against the proteases cathepsins B and L, falcipain-2 and rhodesain. These results highlight the significance of marine sponge-associated bacteria to produce bioactive secondary metabolites with therapeutic potential in the treatment of infectious diseases and disorders of the immune system.
This study should contribute to the important field of pharmacogenetics by: firstly, establishing an easy and safe phenotyping method that combines the activity determination of all three previously mentioned CYPs (CYP2D6, CYP2C9, and CYP2C19) into one phenotyping cocktail and secondly, improving the knowledge about the predictive power of the genotype for the measured phenotype. It was indeed possible to develop a save, easy-to-use, fast and simultaneous phenotyping procedure for the important genetic polymorphic enzymes CYP2D6 and CYP2C9. To accomplish that, interaction studies with the chosen probe drugs dextromethorphan (DEX, CYP2D6), flurbiprofen (FLB, CYP2C9) and omeprazole (OME, CYP2C19) were conducted. It could be proven that DEX and FLB can be administered in combination, whereas OME alters the phenotyping results of CYP2C9. This is a new finding as in 2004 a phenotyping cocktail was published that used FLB and OME in combination. However, to our knowledge, no interaction tests were carried in that study. The new phenotyping procedure is not only verified by prior probe drug interaction studies, it also has other advantages over phenotyping cocktails found in literature. Firstly, save probe drugs are used in very small doses. This is possible due to the new sensitive LC-MS/MS methods that were evaluated. Secondly, the new phenotyping procedure is very fast and on-invasive. Urine has to be collected only for 2 h and the results also suggest that the time consuming glucuronide cleavage of the CYP2D6 dependent metabolite dextrorphan, usually carried out before CYP2D6 phenotyping, may be unnecessary. Most importantly, however, new insights into the phenotype prediction from genotype for CYP2C9 and CYP2D6 could be gained within this study. Nearly 300 phenotyped Caucasian subjects were also genotyped for the most important known variant alleles for CYP2D6, CYP2C9 and CYP2C19 using several established and newly developed genoptyping methods. Therefore, a direct correlation between phenotype and genotype could be conducted for CYP2D6 and CYP2C9. Employing linear modeling, it was possible to assign activity coefficients to each of the detected CYP2D6 and CYP2C9 alleles, thereby estimating their contribution to the resulting enzyme activity. This might facilitate the prediction of the CYP2D6 and CYP2C9 metabolic status of a subject knowing only its respective genotypes. Especially the new CYP2D6 genotype phenotype correlation model might allow for more precise phenotype prediction for the included variant alleles than was possible until now. Taken together, this study substantially contributes to the important research field of pharmacogenetics by (i) developing a save and easy-to-use phenotyping combination for CYP2D6 and CYP2C9, and (ii) by establishing activity coefficients for each of the detected CYP2D6 and CYP2C9 alleles, thereby allowing for a more precise prediction of the phenotype from genotype.
For a large fraction of the proteins expressed in the human brain only the primary structure is known from the genome project. Proteins conserved in evolution can be studied in genetic models such as Drosophila. In this doctoral thesis monoclonal antibodies (mAbs) from the Wuerzburg Hybridoma library are produced and characterized with the aim to identify the target antigen. The mAb ab52 was found to be an IgM which recognized a cytosolic protein of Mr ~110 kDa on Western blots. The antigen was resolved by two-dimensional gel electrophoresis (2DE) as a single distinct spot. Mass spectrometric analysis of this spot revealed EPS-15 (epidermal growth factor receptor pathway substrate clone 15) to be a strong candidate. Another mAb from the library, aa2, was already found to recognize EPS-15, and comparison of the signal of both mAbs on Western blots of 1D and 2D electrophoretic separations revealed similar patterns, hence indicating that both antigens could represent the same protein. Finally absence of the wild-type signal in homozygous Eps15 mutants in a Western blot with ab52 confirmed the ab52 antigen to be EPS-15. Thus both the mAbs aa2 and ab52 recognize the Drosophila homologue of EPS-15. The mAb aa2, being an IgG, is more suitable for applications like immunoprecipitation (IP). It has already been submitted to the Developmental Studies Hybridoma Bank (DSHB) to be easily available for the entire research community. The mAb na21 was also found to be an IgM. It recognizes a membrane associated antigen of Mr ~10 kDa on Western blots. Due to the membrane associated nature of the protein, it was not possible to resolve it by 2DE and due to the IgM nature of the mAb it was not possible to enrich the antigen by IP. Preliminary attempts to biochemically purify the endogenously expressed protein from the tissue, gave promising results but could not be completed due to lack of time. Thus biochemical purification of the protein seems possible in order to facilitate its identification by mass spectrometry. Several other mAbs were studied for their staining pattern on cryosections and whole mounts of Drosophila brains. However, many of these mAbs stained very few structures in the brain, which indicated that only a very limited amount of protein would be available as starting material. Because these antibodies did not produce signals on Western blots, which made it impossible to enrich the antigens by electrophoretic methods, we did not attempt their purification. However, the specific localization of these proteins makes them highly interesting and calls for their further characterization, as they may play a highly specialized role in the development and/or function of the neural circuits they are present in. The purification and identification of such low expression proteins would need novel methods of enrichment of the stained structures.
Die Chlorophylle stellen in der Natur die wichtigsten Pigmente dar, weil sie verantwortlich für die Photosynthese sind und hierbei vielfältige Funktionen wahrnehmen, die sich aus ihrer Selbstassemblierung sowie den vorteilhaften optischen und Redox-Eigenschaften ergeben. Die in dieser Arbeit untersuchten semisynthetischen Zinkchlorine stellen Modellverbindungen des natürlichen Bacteriochlorophylls c (BChl c) der Lichtsammelsysteme (light-harvesting: LH) in Chlorosomen von Bakterien, jedoch ohne Proteingerüst, dar. Die entscheidenden Vorteile dieser Zinkchlorine (ZnChl) gegenüber den natürlichen BChls bestehen im einfachen semisynthetischen Zugang ausgehend von Chlorophyll a (Chl a), ihrer gesteigerten chemischen Stabilität sowie der Möglichkeit ihre Selbstassemblierung durch gezielte chemische Modifizierung der Seitenketten in der Peripherie zu steuern. Während bereits mehrfach über die vielversprechenden Redox- und excitonischen Eigenschaften von Aggregaten von ZnChl und natürlichem BChl c und den damit verbundene Voraussetzungen für Excitontransport über große Distanzen berichtet wurde, sind die Ladungstransporteigenschaften von Aggregaten der biomimetischen ZnChl bis heute unerforscht. Die vorliegende Arbeit beschäftigt sich mit der Aufklärung der Struktur von Aggregaten einer Vielzahl von semisynthetischen Zinkchlorophyllderivaten im Feststoff, in Lösung und auf Oberflächen durch die Kombination verschiedenster spektroskopischer, kristallographischer und mikroskopischer Techniken an die sich Untersuchungen zum Ladungstransport in den Aggregaten anschließen. Schema 1 zeigt die verschiedenen, in dieser Arbeit synthetisierten ZnChls, die entweder mit einer Hydroxy- oder Methoxygruppe in der 31-Position funktionalisiert sind sowie Substituenten unterschiedlicher Art, Länge und Verzweigung an der Benzylestergruppe in 172-Position tragen.Die Packung dieser Farbstoffe hängt entscheidend von ihrer chemischen Struktur ab. Während die ZnChls 1a, 2a, 3 mit 31-Hydroxygruppe und Alkylseitenketten (Dodecyl bzw. Oligoethylenglykol) gut lösliche stabförmige Aggregate bilden, lagern sich die analogen Verbindungen mit 31-Methoxygruppe (1b, 2b) zu Stapeln in Lösung und auf Oberflächen zusammen. Diese supramolekularen Polymere wurden im Detail in Kapitel 3 mit Hilfe von UV/Vis- und CD-Spektroskopie (circular dichroism: CD) sowie dynamische Lichtstreuung (dynamic light scattering: DLS) untersucht. Darüber hinaus lieferten temperaturabhängige UV/Vis- in Kombination mit DLS-Messungen wertvolle Informationen über die Aggregationsprozess dieser beiden Sorten von Aggregaten. Während sich die ZnChl 1a mit 31 Hydroxygruppe entsprechend dem isodesmischen Modell zu röhrenförmigen Aggregaten zusammenlagern, bilden sich die stapelförmigen Aggregate von 1b nach einem kooperativen Keimbildungs-Wachstums-Mechanismus (nucleation-elongation mechanism). Detaillierte elektronenmikroskopische Studien lieferten erstmals überzeugende Beweise für röhrenförmige Nanostrukturen der Aggregate des wasserlöslichen 31-Hydroxy Zinkchlorin 3. Die gemessenen Durchmesser der Röhren von ~ 5-6 nm dieser Aggregate liegen in hervorragender Übereinstimmung mit den Elektronenmikroskopie-Daten von BChl c Stabaggregaten in Chlorosomen (Chloroflexus aurantiacus, Durchmesser ~ 5-6 nm) und entsprechen damit dem von Holzwarth und Schaffner postulierten röhrenförmigen Modell... Im Einklang mit ihren hoch geordneten, robusten Strukturen, die sich eindimensional in einer Größenordnung von Mikrometeren erstrecken, sowie ihrer Fähigkeit zum effizienten Ladungs-trägertransport stellen diese selbstassemblierten Nanoröhren von ZnChls vielversprechende Ausgangsmaterialien für die Fertigung supramolekularer elektronischer Bauteile dar. Wissenschaftliche Bemühungen einige dieser Moleküle und ihre entsprechenden supramolekularen Polymere für die Fertigung von (opto-)elektronischen Bauteilen wie organischen Feldeffekttransistoren zu benutzten, stellen lohnende Aufgaben für die Zukunft dar...
At the present day the idea of cosmological inflation constitutes an important extension of Big Bang theory. Since its appearance in the early 1980’s many physical mechanisms have been worked out that put the inflationary expansion of space that proceeds the Hot Big Bang on a sound theoretical basis. Among the achievements of the theory of inflation are the explanaition of the almost Euclidean geometry of ‘visible’space, the homogeneity of the cosmic background radiation but, in particular, also the tiny inhomogeneity of a relative amplitude of 10−5. In many models of inflation the inflationary phase ends only locally. Hence, there exists the possibility that the inflationary process still goes on in regions beyond our visual horizon. This property is commonly termed ‘eternal inflation’. In the framework of a cosmological scalar fields, eternal inflation can manifest itself in a variety of ways. On the one hand fluctuations of the field, if sufficiently large, can work against the classical trajectory and therefore counteract the end of inflation. In regions where this is the case the accelerated expansion of space continues at a higher rate. In parts of this region the process may replicate itself again and in this way may continue throughout all of time. Space and field are said to reproduce themselves. On the other hand, a mechanism that can occur in addition or independent of the latter, is so called vacuum tunneling. If the potential of the scalar field has several local minima, a semi-classical calculation suggests that within a spherical region, a bubble, the field can tunnel to another state. The respective tunneling rates depend on the potential difference and the shape of the potential between the states. Generally, the tunneling rate is exponentially suppressed, which means that the inflation lasts for a long time before tunneling takes place. The ongoing inflationary process effectively reduces local curvature, anistotropy and inhomogeneity, so that this property is known as the ‘cosmic no-hair conjecture’. For this reason cosmological considerations of the evolution of bubbles thus far almost entirely involved vacuum (de Sitter) backgrounds. However, new insights in the framework of string theory suggest high tunneling rates which allow for the possibility of bubble nucleation in non-vacuum dominated backgrounds. In this case the evolution of the bubble depends on the properties of the background spacetime. A deeper introduction in chapter 4 is followed by the presentation of the Lemaître-Tolman spacetime in chapter 5 which constitutes the background spacetime in the study of the effect of matter and inhomogeneity on the evolution of vacuum bubbles. In chapter 6 we explicitly describe the application of the ‘thin-shell’ formalism and the resulting system of equations. This is succeeded in chapter 7 by the detailed analysis of bubble evolution in various limits of the Lemaître-Tolman spacetime and a Robertson-Walker spacetime with a rapid phase transition. The central observations are that the presence of dust, at a fixed surface energy density, goes along with a smaller nucleation volume and possibly leads to a a collapse of the bubble. In an expanding background, the radially inhomogeneous dust profile is efficiently diluted so that there is essentially no effect on the evolution of the domain wall. This changes in a radially inhomogeneous curvature profile, positive curvature decelerates the expansion of the bubble. Moreover, we point out that the adopted approach does not allow for a treatment of a, physically expected, matter transfer so that the results are to be understood as preliminary under this caveat. In the second part of this thesis we consider potential observable consequences of bubble collisions in the cosmic microwave background radiation. The topological nature of the signal suggests the use of statistics that are well suited to quantify the morphological properties of the temperature fluctuations. In chapter 10 we present Minkowski Functionals (MFs) that exactly provide such statistics. The presented error analysis allows for a higher precision of numerical MFs in comparison to earlier methods. In chapter 12 we present the application of our algorithm to a Gaussian and a collision map. We motivate the expected MFs and extract their numerical counterparts. We find that our least-squares fitting procedure accurately reproduces an underlying signal only when a large number of realizations of maps are averaged over, while for a single WMAP and PLANCK resolution map, only when a highly prominent disk, with |δT| = 2√σG and ϑd = 40◦, we are able to recover the result. This is unfortunate, as it means that MF are intrinsically too noisy to be able to distinguish cold and hot spots in the CMB for small sizes.
The scope of the present work encompasses the influence of experience (i.e. expertise) for feature processing in unconscious information processing. In the introduction, I describe the subliminal priming paradigm, a method to examine how stimuli, we are not aware of, nonetheless influence our actions. The activation of semantic response categories, the impact of learned stimulus-response links, and the action triggering through programmed stimulus-response links are the main three hypotheses to explain unconscious response activation. Besides, the congruence of perceptual features can also influence subliminal priming. On the basis of the features location and form, I look at evidence that exists so far for perceptual priming. The second part of the introduction reviews the literature showing perceptual superiority of experts. This is illustrated exemplarily with three domains of expertise – playing action video games, which constitutes a general form of perceptual expertise, radiology, a more natural form of expertise, and expertise in the game of chess, which is seen as the Drosophila of psychology. In the empirical section, I report nine experiments that applied a subliminal check detection task. Experiment 1 shows subliminal response priming for chess experts but not for chess novices. Thus, chess experts are able to judge unconsciously presented chess configurations as checking or nonchecking. The results of Experiment 2 suggest that acquired perceptual chunks, and not the ability to integrate perceptual features unconsciously, was responsible for unconscious check detection, because experts’ priming does not occur for simpler chess configurations which afforded an unfamiliar classification. With a more complex chess detection task, Experiment 3 indicates that chess experts are not able to process perceptual features in parallel or alternatively, that chess experts are not able to form specific expectations which are obviously necessary to elicit priming if many chess displays are applied. The aim of Experiment 4-9 was to further elaborate on unconscious processing of the single features location and form in novices. In Experiment 4 and 5, perceptual priming according the congruence of the single features location and form outperformed semantically-based response priming. Experiment 6 and 7 show that (in contrast to form priming) the observed location priming effect is rather robust and is also evident for an unexpected form or colour. In Experiment 8, location and form priming, which was additionally related to response priming, were directly compared to each other. Location priming was again stronger than form priming. Finally, Experiment 9 demonstrates that with the subliminal check detection task it is possible to induce response priming in novices when the confounding influences of location and form are absent. In the General discussion, I first summarized the findings. Second, I discuss possible underlying mechanisms of different subliminal perception in experts and novices. Third, I focus on subliminal perceptual priming in novices, especially on the impact of the features location and form. And finally, I discuss a framework, the action trigger account that integrates the different results of the present work.
Pericyclic reactions possess changed reactivities in the excited state compared to the ground state which complement each other, as can be shown by simple frontier molecular orbital analysis. Hence, most molecules that undergo pericyclic reactions feature two different photochemical pathways. In this thesis an investigation of the first nanoseconds after excitation of Diazo Meldrum’s acid (DMA) is presented. The time-resolved absorption change in the mid-infrared spectral region revealed indeed two reaction pathways after excitation of DMA with at least one of them being a pericyclic reaction (a sigmatropic rearrangement). These two pathways most probably start from different electronic states and make the spectroscopy of DMA especially interesting. Femtochemistry also allows the spectroscopy of very short-lived intermediates, which is discussed in context of the sequential mechanism of the Wolff rearrangement of DMA. An interesting application of pericyclic reactions are also molecular photoswitches, i.e. molecules that can be switched by light between two stable states. This work presents a photoswitch on the basis of a 6-pi-electrocyclic reaction, whose reaction dynamics after excitation are unravelled with transient-absorption spectroscopy for both switching directions. The 6-pi-electrocyclic reaction is especially attractive, because of the huge electronic changes and subsequent absorption changes upon switching between the ring-open and ring-closed form. Fulgides, diarlyethenes, maleimides as well as spiropyrans belong to this class of switches. Despite the popularity of spiropyrans, the femtochemistry of the ring-open form (“merocyanine”) is still unknown to a great extent. The experiments in this thesis on this system combined with special modeling algorithms allowed to determine the quantum efficiencies of all reaction pathways of the system, including the ring-closure pathway. With the knowledge of the reaction dynamics, a multipulse control experiment showed that bidirectional full-cycle switching between the two stable states on an ultrafast time scale is possible. Such a controlled ultrafast switching is a process which is inaccessible with conventional light sources and may allow faster switching electronics in the future. Theoretical calculations suggest an enantioselective photochemistry, i.e. to influence the chirality of the emerging molecule with the chirality of the light, a field called “chiral control”. The challenges that need to be overcome to prove a successful chiral control are extremely hard, since enantiosensitive signals, such as circular dichroism, are inherently very small. Hence, chiral control calls for a very sensitive detection as well as an experiment that cancels all effects that may influence the enantiosensitive signal. The first challenge, the sensitive detection, is solved with a polarimeter, which is optimized to be combined with femtosecond spectroscopy. This polarimeter will be an attractive tool for future chiral-control experiments due to its extreme sensitivity. The second challenge, the design of an artefact-free experiment, gives rise to a variety of new questions. The polarization state of the light is the decisive property in such an experiment, because on the one hand the polarization carries the chiral information of the excitation and on the other hand the change of the polarization or the intensity change dependent on the polarization is used as the enantiosensitive probing signal. A new theoretical model presented in this thesis allows to calculate the anisotropic distribution of any given pump-probe experiment in which any pulse can have any polarization state. This allows the design of arbitrary experiments for example polarization shaped pump-probe experiments. Furthermore a setup is presented and simulated that allows the shot-to-shot switching between mirror-images of light polarization states. It can be used either for control experiments in which the sample is excited with mirror-images of the pump polarization or for spectroscopy purposes, such as transient circular dichroism or transient optical rotatory dispersion. The spectroscopic results of this thesis may serve as a basis for these experiments. The parallel and sequential photochemical pathways of DMA and the feasibility of the bidirectional switching of 6,8-dinitro BIPS in a pump–repump experiment on the one hand offer a playground to test the relation of the anisotropy with the polarization of the pump, repump and probe pulse. On the other hand control experiments with varying pump and repump polarization may be able to take influence on the dynamics after excitation. Especially interesting is the combination of the 6,8-dinitro BIPS with the polarization-mirroring setup, because the closed form (spiropyran) is chiral. Perhaps in the future it will be possible to prove a cumulative circular-dichroism effect or even a chiral control with this system.
Understanding of complex interactions and events in a nervous system, leading from the molecular level up to certain behavioural patterns calls for interdisciplinary interactions of various research areas. The goal of the presented work is to achieve such an interdisciplinary approach to study and manipulate animal behaviour and its underlying mechanisms. Optical in vivo imaging is a new constantly evolving method, allowing one to study not only the local but also wide reaching activity in the nervous system. Due to ease of its genetic accessibility Drosophila melanogaster represents an extraordinary experimental organism to utilize not only imaging but also various optogenetic techniques to study the neuronal underpinnings of behaviour. In this study four genetically encoded sensors were used to investigate the temporal dynamics of cAMP concentration changes in the horizontal lobes of the mushroom body, a brain area important for learning and memory, in response to various physiological and pharmacological stimuli. Several transgenic lines with various genomic insertion sites for the sensor constructs Epac1, Epac2, Epac2K390E and HCN2 were screened for the best signal quality, one line was selected for further experiments. The in vivo functionality of the sensor was assessed via pharmacological application of 8-bromo-cAMP as well as Forskolin, a substance stimulating cAMP producing adenylyl cyclases. This was followed by recording of the cAMP dynamics in response to the application of dopamine and octopamine, as well as to the presentation of electric shock, odorants or a simulated olfactory signal, induced by acetylcholine application to the observed brain area. In addition the interaction between the shock and the simulated olfactory signal by simultaneous presentation of both stimuli was studied. Preliminary results are supporting a coincidence detection mechanism at the level of the adenylyl cyclase as postulated by the present model for classical olfactory conditioning. In a second series of experiments an effort was made to selecticvely activate a subset of neurons via the optogenetic tool Channelrhodopsin (ChR2). This was achieved by recording the behaviour of the fly in a walking ball paradigm. A new method was developed to analyse the walking behaviour of the animal whose brain was made optically accessible via a dissection technique, as used for imaging, thus allowing one to target selected brain areas. Using the Gal4-UAS system the protocerebral bridge, a substructure of the central complex, was highlighted by expressing the ChR2 tagged by fluorescent protein EYFP. First behavioural recordings of such specially prepared animals were made. Lastly a new experimental paradigm for single animal conditioning was developed (Shock Box). Its design is based on the established Heat Box paradigm, however in addition to spatial and operant conditioning available in the Heat Box, the design of the new paradigm allows one to set up experiments to study classical and semioperant olfactory conditioning, as well as semioperant place learning and operant no idleness experiments. First experiments involving place learning were successfully performed in the new apparatus.
Currently, we observe a strong growth of services and applications, which use the Internet for data transport. However, the network requirements of these applications differ significantly. This makes network management difficult, since it complicated to separate network flows into application classes without inspecting application layer data. Network virtualization is a promising solution to this problem. It enables running different virtual network on the same physical substrate. Separating networks based on the service supported within allows controlling each network according to the specific needs of the application. The aim of such a network control is to optimize the user perceived quality as well as the cost efficiency of the data transport. Furthermore, network virtualization abstracts the network functionality from the underlying implementation and facilitates the split of the currently tightly integrated roles of Internet Service Provider and network owner. Additionally, network virtualization guarantees that different virtual networks run on the same physical substrate do not interfere with each other. This thesis discusses different aspects of the network virtualization topic. It is focused on how to manage and control a virtual network to guarantee the best Quality of Experience for the user. Therefore, a top-down approach is chosen. Starting with use cases of virtual networks, a possible architecture is derived and current implementation options based on hardware virtualization are explored. In the following, this thesis focuses on assessing the Quality of Experience perceived by the user and how it can be optimized on application layer. Furthermore, options for measuring and monitoring significant network parameters of virtual networks are considered.
Bacterial protein toxins belong to the most potent toxins which are known. They exist in many different forms and are part of our every day live. Some of them are spread by the bacteria during infections and therefore play a crucial role in pathogenicity of these strains. Others are secreted as a defense mechanism and could be uptaken with spoiled food. Concerning toxicity, some of the binary toxins of the AB7-type belong to the most potent and dangerous toxins in the world. Even very small amounts of these proteins are able to cause severe symptoms during an infection with pathogen species of the genus Clostridium or Bacillus. Apart from the thread the toxins constitute, they exhibit a unique way of intoxication. Members of the AB7-toxin family consist of a pore-forming subunit B, that acts as a molecular syringe to translocate the enzymatic moieties A into the cytosol of target cells. This complex mechanism does not only kill cells with high efficiency and therefore should be studied for treatment, but also displays a possibility to address certain cells with a specific protein cargo if used as a molecular delivery tool. Concerning both issues, binding and translocation of the channel are the crucial steps to either block or modify the system in the desired way. To gain deeper insight into the transport of binary toxins the structure of the B subunit is of great importance, but being a membrane protein, no crystal could be obtained up to now for either protective antigen (PA) of Anthrax toxin or any other AB7-type binding domain. Therefore, the method of choice in this work is an electro-physical approach using the so-called black-lipid-bilayer system for determination of biophysical constants. Additionally, diverse cell based assays serve as a proving method for the data gained during in vitro measurements. Further information was gathered with specially designed mutants of the protein channel. The first part of this thesis focuses on the translocation process and its possible use as a molecular tool to deliver protein cargo into special cell types. The task was addressed by measuring the binding of different effector proteins related and unrelated to the AB7 toxin family. These proteins were tested in titration experiments for the blockage of the ion current through a membrane saturated with toxin channels. Especially the influence of positively charged His-tags has been determined in detail for PA and C2II. As described in chapter 2, a His-tag transferred the ability of being transported by PA, but not by C2II, to different proteins like EDIN (from S. aureus) in vitro and in cell-based experiments. This process was found to change the well-known voltage-dependency of PA to a huge extend and therefore is related to membrane potentials which play a crucial role in many processes in living cells. Chapter 3 sums up findings, which depict that binding partners of PA share certain common motives. These could be detected in a broad range of substrates, ranging from simple ions in an electrolyte over small molecules to complex protein effectors. The gathered information could be further used to design blocker-substrates for treatment of Anthrax infections or tags, which render PA possible as a molecular syringe for cargo proteins. The deeper insight to homologies and differences of binary toxin components is the core of chapter 4, in which the cross-reactivity of Anthrax and C2-toxin was analyzed. The presented results lead to a better understanding of different motives involved in binding and translocation to and via the B components PA and C2II, as well as the enzymatically active A moieties edema factor (EF), lethal factor (LF) and C2I. In the second part of the thesis, the blockage of intoxication is the center of interest. Therefore, chapter 5 focuses on the analysis of specially designed blocker-substrate molecules for PA. These molecules form a plug in the pore, abolishing translocation of the enzymatic units. Especially, if multi-resistant strains of Anthrax (said to be already produced in Russia as a biological weapon) are taken into consideration, these substrates could stop intoxication and buy time, to deal with the infection. Chapter 6 describes the blockage of PA-channels by anti-His antibody from the trans-side of the porin, an effect which was not described for any other antibody before. Interestingly, even mutation of the estimated target amino acid Histidine 310 to Glycine could not interfere with this ionic strength dependent binding.
Yersinia enterocolitica subsp. palearctica serobiotype O:3/4 comprises about 80-90 % of all human patient isolates in Germany and Europe and is responsible for sporadic cases worldwide. Even though this serobiotype is low pathogenic, Y. enterocolitica subsp. palearctica serobiotype O:3/4 is involved in gastroenteritis, lymphadenitis and various extraintestinal sequelae as reactive arthritis. The main animal reservoir of this serobiotype are pigs, causing a high rate of O:3/4 contaminations of raw pork in butcher shops in Germany (e.g. Bavaria 25 %) and countries in north-east Europe. As Y. enterocolitica O:3/4 is geographically and phylogenetically distinct from the so far sequenced mouse-virulent O:8/1B strain, complete genome sequencing has been performed for the European serobiotype O:3/4 DSMZ reference strain Y11, which has been isolated from a patient stool. To gain greater insight into the Y. enterocolitica subspecies palearctica group, also draft genome sequences of two other human O:3/4 isolates (strains Y8265, patient isolate, and Y5307, patient isolate associated with reactive arthritis), a closely related Y. enterocolitica palearctica serobiotype O:5,27/3 (strain Y527P), and two biotype 1A strains (a nosocomial strain of serogroup O:5 and an environmental serogroup O:36 isolate) have been performed. Those strains were compared to the high-pathogenic Y. enterocolitica subsp. enterocolitica serobiotype O:8/1B strain 8081 to address the peculiarities of the strain Y11 and the Y. enterocolitica subspecies palearctica group. The main focus was to unravel the pathogenic potential of strain Y11 and thus to identify novel putative virulence genes and fitness factors, especially those that may constitute host specificity of serobiotype O:3/4. Y. enterocolitica subspecies palearctica serobiotype O:3/4 strains lack most of the mouse-virulence-associated determinants of Y. enterocolitica subsp. enterocolitica serotype O:8, for example the HPI, Yts1 type 2 and Ysa type three secretion systems. In comparison, serobiotype O:3/4 strains obviously acquired a different set of genes and genomic islands for virulence and fitness such as the Ysp type three secretion system, an RtxA-like putative toxin, insecticidal toxins and a functional PTS system for N-acetyl-galactosamine uptake, named aga-operon. The aga-operon is able to support the growth of the Y. enterocolitica subsp. enterocolitica O:8/1B on N-acetyl-galactosamine after transformation with the aga operon. Besides these genes, also two prophages, PhiYep-2 and PhiYep-3, and a asn tRNA-associated GIYep-01 genomic island might influence the Y. enterocolitica subsp. palearctica serobiotype O:3/4 pathoadaptation. The PhiYep-3 prophage and the GIYep-01 island show recombination activity and PhiYep-3 was not found in all O:3/4 strains of a small strain collection tested. Y. enterocolitica subsp. palearctica serobiotype O:5,27/3 strain Y527P was found to be closely related to all serobiotype O:3/4 strains, whereas the biotype 1A isolates have more mosaic-segmented genomes and share putative virulence genes both with serobiotypes O:8/1B and O:3/4, which implies their common descent. Besides the pYV virulence plasmid, biotype 1A strains lack classical virulence markers as the Ail adhesin, the YstA enterotoxin, and the virulence-associated protein C. Interestingly, there are no notable differences between the known virulence factors present in nosocomial and environmental strains, except the presence of a truncated Rtx toxin-like gene cluster and remnants of a P2-like prophage in the hospital serogroup O:5 isolate.
The acquired immunodeficiency syndrome (AIDS) is currently the most infectious disease worldwide. It is caused by the human immunodeficiency virus (HIV). At the moment there are ~33.3 million people infected with HIV. Sub-Saharan Africa, with ~22.5 million people infected accounts for 68% of the global burden. In most African countries antiretroviral therapy (ART) is administered in limited-resource settings with standardised first- and second-line ART regimens. During this study I analysed the therapy-naïve population of Cape Town, South Africa and Mwanza, Tanzania for any resistance associated mutations (RAMs) against protease inhibitors, nucleoside reverse transcriptase inhibitors and non-nucleoside reverse transcriptase inhibitors. My results indicate that HIV-1 subtype C accounts for ~95% of all circulating strains in Cape Town, South Africa. I could show that ~3.6% of the patient derived viruses had RAMs, despite patients being therapy-naïve. In Mwanza, Tanzania the HIV drug resistance (HIVDR) prevalence in the therapy-naïve population was 14.8% and significantly higher in the older population, >25 years. Therefore, the current WHO transmitted HIVDR (tHIVDR) survey that is solely focused on the transmission of HIVDR and that excludes patients over 25 years of age may result in substantial underestimation of the prevalence of HIVDR in the therapy-naïve population. Based on the prevalence rates of tHIVDR in the study populations it is recommended that all HIV-1 positive individuals undergo a genotyping resistance test before starting ART. I also characterized vif sequences from HIV-1 infected patients from Cape Town, South Africa as the Vif protein has been shown to counteract the antiretroviral activity of the cellular APOBEC3G/F cytidine deaminases. There is no selective pressure on the HIV-1 Vif protein from current ART regimens and vif sequences was used as an evolutionary control. As the majority of phenotypic resistance assays are still based on HIV-1 subtype B, I wanted to design an infectious HIV-1 subtype C proviral molecular clone that can be used for in vitro assays based on circulating strains in South Africa. Therefore, I characterized an early primary HIV-1 subtype C isolate from Cape Town, South Africa and created a new infectious subtype C proviral molecular clone (pZAC). The new pZAC virus has a significantly higher transient viral titer after transfection and replication rate than the previously published HIV-1 subtype C virus from Botswana. The optimized proviral molecular clone, pZAC could be used in future cell culture and phenotypic HIV resistance assays regarding HIV-1 subtype C.
The present work reviews the experimental literature on the acute effects of alcohol on human behaviour related to driving performance. A meta-analysis was conducted which includes studies published between 1954 and 2007 in order to provide a comprehensive knowledge of the substance alcohol. 450 studies reporting 5,300 findings were selected from over 12,000 references after applying certain in- and exclusion criteria. Thus, the present meta-analysis comprises far more studies than reviews on alcohol up to now. In the selected studies, different performance tests were conducted which were relevant for driving. The classification system used in this work assigns these tests to eight categories. The main categories consist of several sub categories classifying the tasks more precisely. The main categories were: (1) visual functions, (2) attention (including vigilance), (3) divided attention, (4) en-/decoding (including information processing and memory), (5) reaction time (including simple reaction time and choice reaction time), (6) psychomotor skills, (7) tracking and (8) driving. In addition to the performance aspect, the classification system takes into account mood and social behaviour variables related to driving safety like tiredness or aggression. Following the evaluation method of vote-counting, the number of significant findings and the number of non-significant findings were summarised per blood alcohol concentration (BAC) group. Thereby, a quantitative estimation of the effects of alcohol depending on the BAC was established, the so-called impairment function, which shows the percentage of significantly impaired findings. In order to provide a general overview of alcohol effects on driving-related performance, a global impairment function was established by aggregating all performance findings. The function is nearly linear with about 30% significant findings at a BAC of 0.05% and 50% significant findings at a BAC of 0.08%. In addition, more specific impairment functions considering only the findings of the single behavioural categories were calculated. The results revealed that impairment depends not only on the BAC, but also clearly differs between most of the performance categories. Tracking and driving performance were most affected by alcohol with impairment beginning at very low BACs of 0.02%. Also psychomotor skills were considerably affected by rather low BACs. Impairment of visual functions and information processing occurred at BACs of 0.04% and increased substantially with higher BACs. Impairment in memory tests could be found with very low BACs of 0.02%, but varied depending on the kind of memory. Performance decrements in divided attention tests could also be found with very low BACs in some studies. Attention started to be impaired at 0.04% BAC, but – as in vigilance tasks – considerable impairment only occurred at higher BACs. Choice reaction time was affected at lower BACs than simple reaction time, which was – together with the critical flicker fusion frequency – the least sensitive parameter to the effects of alcohol. To conclude, most skills which are relevant for the safe operation of a vehicle are clearly impaired by BACs of 0.05%, with motor functions being more affected than cognitive functions and complex tasks more than simple tasks. Generally, the results provided no evidence of a threshold effect for alcohol. There was no driving-related performance category for which a sudden transition from unimpaired to impaired occurred at a particular BAC level. In addition, a comparison was made between the present meta-analysis and two reviews of Moskowitz (Moskowitz & Fiorentino, 2000; Moskowitz & Robinson, 1988). Moskowitz reported much lower BACs at which performance was impaired. The reasons for this discrepancy lies in a different way to review scientific findings. On the one hand, Moskowitz focused on significant findings when selecting studies and findings for his reviews. On the other hand, the evaluation method used by Moskowitz ignored non-significant findings and counted each study once at the lowest BAC for which impairment was found. Those non-significant findings are as important as the significant ones in order to determine thresholds of impairment. Therefore, in contrast to Moskowitz, the present work describes the effects of alcohol with functions considering also the non-significant findings. The significance of the non-significant is emphasized with respect to the selection procedure as well as to the evaluation method.
In recent years high-throughput experiments provided a vast amount of data from all areas of molecular biology, including genomics, transcriptomics, proteomics and metabolomics. Its analysis using bioinformatics methods has developed accordingly, towards a systematic approach to understand how genes and their resulting proteins give rise to biological form and function. They interact with each other and with other molecules in highly complex structures, which are explored in network biology. The in-depth knowledge of genes and proteins obtained from high-throughput experiments can be complemented by the architecture of molecular networks to gain a deeper understanding of biological processes. This thesis provides methods and statistical analyses for the integration of molecular data into biological networks and the identification of functional modules, as well as its application to distinct biological data. The integrated network approach is implemented as a software package, termed BioNet, for the statistical language R. The package includes the statistics for the integration of transcriptomic and functional data with biological networks, the scoring of nodes and edges of these networks as well as methods for subnetwork search and visualisation. The exact algorithm is extensively tested in a simulation study and outperforms existing heuristic methods for the calculation of this NP-hard problem in accuracy and robustness. The variability of the resulting solutions is assessed on perturbed data, mimicking random or biased factors that obscure the biological signal, generated for the integrated data and the network. An optimal, robust module can be calculated using a consensus approach, based on a resampling method. It summarizes optimally an ensemble of solutions in a robust consensus module with the estimated variability indicated by confidence values for the nodes and edges. The approach is subsequently applied to two gene expression data sets. The first application analyses gene expression data for acute lymphoblastic leukaemia (ALL) and differences between the subgroups with and without an oncogenic BCR/ABL gene fusion. In a second application gene expression and survival data from diffuse large B-cell lymphomas are examined. The identified modules include and extend already existing gene lists and signatures by further significant genes and their interactions. The most important novelty is that these genes are determined and visualised in the context of their interactions as a functional module and not as a list of independent and unrelated transcripts. In a third application the integrative network approach is used to trace changes in tardigrade metabolism to identify pathways responsible for their extreme resistance to environmental changes and endurance in an inactive tun state. For the first time a metabolic network approach is proposed to detect shifts in metabolic pathways, integrating transcriptome and metabolite data. Concluding, the presented integrated network approach is an adequate technique to unite high-throughput experimental data for single molecules and their intermolecular dependencies. It is flexible to apply on diverse data, ranging from gene expression changes over metabolite abundances to protein modifications in a combination with a suitable molecular network. The exact algorithm is accurate and robust in comparison to heuristic approaches and delivers an optimal, robust solution in form of a consensus module with confidence values. By the integration of diverse sources of information and a simultaneous inspection of a molecular event from different points of view, new and exhaustive insights into biological processes can be acquired.
Computing Generic Causes of Revelation of the Quranic Verses Using Machine Learning Techniques
(2011)
Because many verses of the holy Quran are similar, there is high probability that, similar verses addressing same issues share same generic causes of revelation. In this study, machine learning techniques have been employed in order to automatically derive causes of revelation of Quranic verses. The derivation of the causes of revelation is viewed as a classification problem. Initially the categories are based on the verses with known causes of revelation, and the testing set consists of the remaining verses. Based on a computed threshold value, a naïve Bayesian classifier is used to categorize some verses. After that, using a decision tree classifier the remaining uncategorized verses are separated into verses that contain indicators (resultative connectors, causative expressions…), and those that do not. As for those verses having indicators, each one is segmented into its constituent clauses by identification of the linking indicators. Then a dominant clause is extracted and considered either as the cause of revelation, or post-processed by adding or subtracting some terms to form a causal clause that constitutes the cause of revelation. Concerning remaining unclassified verses without indicators, a naive Bayesian classifier is again used to assign each one of them to one of the existing classes based on features and topics similarity. As for verses that could not be classified so far, manual classification was made by considering each verse as a category on its own. The result obtained in this study is encouraging, and shows that automatic derivation of Quranic verses’ generic causes of revelation is achievable, and reasonably reliable for understanding and implementing the teachings of the Quran.
Type 1 diabetes affects around 0.5% of the population in developed countries and the incidence rates have been rising over the years. The destruction of beta cells is irreversible and the current therapy available to patients only manages the symptoms and does not prevent the associated pathological manifestations. The patients need lifelong therapy and intensive research is being carried out to identify ways to eliminate autoimmune responses directed against pancreatic beta cells and to replace or regenerate beta cells. The work presented herein aimed at analyzing the role of the Th17 T cell subset, characterized by secretion of the pro- inflammatory cytokine IL-17A, in autoimmune diabetes and also at generating a beta cell reporter mouse line in the NOD background, the most widely- used mouse model for type 1 diabetes. We generated IL- 17A knockdown (KD) NOD mice, using RNAi in combination with lentiviral transgenesis. We analyzed diabetes frequency in IL-17A deficient mice and found that the loss of IL-17A did not protect the transgenic mice from diabetes. Based on these observations, we believe that Th17 cells do not play a critical role in type 1 diabetes through the IL-17A pathway, though they might still be involved in the disease process through alternate pathways. We also generated NOD and NOD-SCID mice with a transgene that drives the beta cell specific expression of a luciferase reporter gene. We used a lentiviral construct, which combined a luciferase sequence and a short- hairpin RNA (shRNA) expression cassette, allowing gene- knockdown under the beta cell specific rat insulin promoter (RIP). These mice will be of use in studying beta cell phenotypes resulting from the knockdown of target genes, using non- invasive bioimaging. We believe that the generation of these reporter mouse lines for diabetes studies will prove valuable in future investigations. Furthermore, the demonstration that the loss of IL-17A does not alter susceptibility to type 1 diabetes should help clarify the controversial involvement of Th17 cells in this disease.
Learning a book in general involves reading it, underlining important words, adding comments, summarizing some passages, and marking up some text or concepts. Once deeper understanding is achieved, one would like to organize and manage her/his knowledge in such a way that, it could be easily remembered and efficiently transmitted to others. This paper discusses about modeling religious texts using semantic XML markup based on frame-based knowledge representation, with the purpose of assisting understanding, retention, and sharing of knowledge they contain. In this study, books organized in terms of chapters made up of verses are considered as the source of knowledge to model. Some metadata representing the multiple perspectives of knowledge modeling are assigned to each chapter and verse. Chapters and verses with their metadata form a meta-model, which is represented using frames, and published on a web mashup. An XML-based annotation and visualization system equipped with user interfaces for creating static and dynamic metadata, annotating chapters’ contents according to user selected semantics, and templates for publishing generated knowledge on the Internet, has been developed. The system has been applied to the Quran, and the result obtained shows that multiple perspectives of information modeling can be successfully applied to religious texts, in order to support analysis, understanding, and retention of the texts.
Given a collection of diverging documents about some lost original text, any person interested in the text would try reconstructing it from the diverging documents. Whether it is eclecticism, stemmatics, or copy-text, one is expected to explicitly or indirectly select one of the documents as a starting point or as a base text, which could be emended through comparison with remaining documents, so that a text that could be designated as the original document is generated. Unfortunately the process of giving priority to one of the documents also known as witnesses is a subjective approach. In fact even Cladistics, which could be considered as a computer-based approach of implementing stemmatics, does not present or recommend users to select a certain witness as a starting point for the process of reconstructing the original document. In this study, a computational method using a rule-based Bayesian classifier is used, to assist text scholars in their attempts of reconstructing a non-existing document from some available witnesses. The method developed in this study consists of selecting a base text successively and collating it with remaining documents. Each completed collation cycle stores the selected base text and its closest witness, along with a weighted score of their similarities and differences. At the end of the collation process, a witness selected more often by majority of base texts is considered as the probable base text of the collection. Witnesses’ scores are weighted using a weighting system, based on effects of types of textual modifications on the process of reconstructing original documents. Users have the possibility to select between baseless and base text collation. If a base text is selected, the task is reduced to ranking the witnesses with respect to the base text, otherwise a base text as well as ranking of the witnesses with respect to the base text are computed and displayed on a bar diagram. Additionally this study includes a recursive algorithm for automatically reconstructing the original text from the identified base text and ranked witnesses.
The question of why the Quran structure does not follow its chronology of revelation is a recurring one. Some Islamic scholars such as [1] have answered the question using hadiths, as well as other philosophical reasons based on internal evidences of the Quran itself. Unfortunately till today many are still wondering about this issue. Muslims believe that the Quran is a summary and a copy of the content of a preserved tablet called Lawhul-Mahfuz located in the heaven. Logically speaking, this suggests that the arrangement of the verses and chapters is expected to be similar to that of the Lawhul-Mahfuz. As for the arrangement of the verses in each chapter, there is unanimity that it was carried out by the Prophet himself under the guidance of Angel Gabriel with the recommendation of God. But concerning the ordering of the chapters, there are reports about some divergences [3] among the Prophet’s companions as to which chapter should precede which one. This paper argues that Quranic chapters might have been arranged according to months and seasons of revelation. In fact, based on some verses of the Quran, it is defendable that the Lawhul-Mahfuz itself is understood to have been structured in terms of the months of the year. In this study, philosophical and mathematical arguments for computing chapters’ months of revelation are discussed, and the result is displayed on an interactive scatter plot.
Bees are subject to permanent threat from predators such as ants. Their nests with large quantities of brood, pollen and honey represent lucrative targets for attacks whereas foragers have to face rivalry at food sources. This thesis focused on the role of stingless bees as third party interactor on ant-aphid-associations as well as on the predatory potential represented by ants and defense mechanisms against this threat. Regular observations of an aphid infested Podocarpus for approaching stingless bees yielded no results. Another aim of this thesis was the observation of foraging habits of four native and one introduced ant species for assessment of their predatory potential to stingless bees. All species turned out to be dietary balanced generalists with one mostly carnivorous species and four species predominantly collecting nectar roughly according to optimal foraging theory. Two of the species monitored, Rhytidoponera metallica and Iridomyrmex rufoniger were considered potential nest robbers. As the name implies, stingless bees lack the powerful weapon of their distant relatives; hence they specialized on other defense strategies. Resin is an important, multipurpose resource for stingless bees that is used as material for nest construction, antibiotic and for defensive means. For the latter purpose highly viscous resin is either directly used to stick down aggressors or its terpenic compounds are included in the bees cuticular surface. In a feeding choice experiment, three ant species were confronted with the choice between two native bee species - Tetragonula carbonaria and Austroplebeia australis - with different cuticular profiles and resin collection habits. Two of the ant species, especially the introduced Tetramorium bicarinatum did not show any preferences. The carnivorous R. metallica predominantly took the less resinous A. australis as prey. The reluctance towards T. carbonaria disappeared when the resinous compounds on its cuticle had been washed off with hexane. To test whether the repulsive reactions were related to the stickiness of the resinous surface or to chemical substances, hexane extracts of bees’ cuticles, propolis and three natural tree resins were prepared. In the following assay responses of ants towards extract treated surfaces were observed. Except for one of the resin extracts, all tested substances had repellent effects to the ants. Efficacy varied with the type of extract and species. Especially to the introduced T. bicarinatum the cuticular extract had no effect. GCMS-analyses showed that some of the resinous compounds were also found in the cuticular profile of T. carbonaria which featured reasonable analogies to the resin of Corymbia torelliana that is highly attractive for stingless bees. The results showed that repellent effects were only partially related to the sticky quality of resin but were rather caused by chemical substances, presumably sesqui- and diterpenes. Despite its efficacy this defense strategy only provides short time repellent effects sufficient for escape and warning of nest mates to initiate further preventive measures.
Since the discovery of spin torque in 1996, independently by Berger and Slonczewski, and given its potential impact on information storage and communication technologies, (e.g. through the possibility of switching the magnetic configuration of a bit by current instead of a magnetic field, or the realization of high frequency spin torque oscillators (STO), this effect has been an important field of spintronics research. One aspect of this research focuses on ferromagnets with low damping. The lower the damping in a ferromagnet, the lower the critical current that is needed to induce switching of a spin valve or induce precession of its magnetization. In this thesis ferromagnetic resonance (FMR) studies of NiMnSb layers are presented along with experimental studies on various spin-torque (ST) devices using NiMnSb. NiMnSb, when crystallized in the half-Heusler structure, is a half-metal which is predicted to have 100% spin polarization, a consideration which further increases its potential as a candidate for memory devices based on the giant magnetoresistance (GMR) effect. The FMR measurements show an outstandingly low damping factor for NiMnSb, in low 10-3 range. This is about a factor of two lower than permalloy and well comparable to lowest damping for iron grown by molecular beam epitaxy (MBE). According to theory the 100% spin polarization properties of the bulk disappear at interfaces where the break in translational symmetry causes the gap in the minority spin band to collapse but can remain in other crystal symmetries such as (111). Consequently NiMnSb layers on (111)(In,Ga)As buffer are characterized in respect of anisotropies and damping. The FMR measurements on these samples indicates a higher damping that for the 001 samples, and a thickness dependent uniaxial in-plane anisotropy. Investigations of the material for device use is pursued by considering sub-micrometer sized elements of NiMnSb on 001 substrates, which were fabricated by electron-beam lithography and measured by ferromagnetic resonance. The damping remains in the low 10-3 range as determined directly by extracting the Gilbert damping from the line width. Additionally magnetostatic modes are observed in arrays of elements, which is further evidence of high material quality of the samples. By sputtering various metals on top of the NiMnSb, spin pumping from the ferromagnet into the non-magnetic layer is investigated. After these material investigations, pseudo-spin-valves using NiMnSb as one of the ferromagnet, in combination with Permalloy were fabricating using a self-aligned lithography process. These samples show a GMR ratio of 3.4% at room temperature and almost double at low temperature, comparing favourably to the best single stack GMR structures reported to date. Moreover, current induced switching measurements show promisingly low current densities are necessary to change the magnetic orientation of the free layer. These current densities compete with state-of-the-art GMR devices for metal based structures and almost with tunnel junction devices. The true potential of these devices however comes to light when they are operated as spin torque oscillators to emit high frequency, tunable, narrow spectrum electromagnetic waves. These Heusler based STOs show an outstanding q-factor of 4180, even when operating in the absence of an external field, a value which bests the highest value in the literature by more than an order of magnitude. While these devices currently still suffer from the same limited output power as all STO reported to date, their sub-micron lateral dimensions make the fabrication of an on-chip array of coupled oscillators, which is a promising path forward towards industrially relevant output power.
According to a changing environment it is crucial for animals to make experience and learn about it. Sensing, integrating and learning to associate different kinds of modalities enables animals to expect future events and to adjust behavior in the way, expected as the most profitable. Complex processes as memory formation and storage make it necessary to investigate learning and memory on different levels. In this context Drosophila melanogaster represents a powerful model organism. As the adult brain of the fly is still quite complex, I chose the third instar larva as model - the more simple the system, the easier to isolate single, fundamental principles of learning. In this thesis I addressed several kinds of questions on different mechanism of olfactory associative and synaptic plasiticity in Drosophila larvae. I focused on short-term memory throughout my thesis. First, investigating larval learning on behavioral level, I developed a one-odor paradigm for olfactory associative conditioning. This enables to estimate the learnability of single odors, reduces the complexity of the task and simplify analyses of "learning mutants". It further allows to balance learnability of odors for generalization-type experiments to describe the olfactory "coding space". Furthermore I could show that innate attractiveness and learnability can be dissociated and found finally that paired presentation of a given odor with reward increase performance, whereas unpaired presentations of these two stimuli decrease performance, indicating that larva are able to learn about the presence as well as about the absence of a reward. Second, on behavioral level, together with Thomas Niewalda and colleagues we focussed on salt processing in the context of choice, feeding and learning. Salt is required in several physiological processes, but can neither be synthesized nor stored. Various salt concentrations shift the valence from attraction to repulsion in reflexive behaviour. Interestingly, the reinforcing effect of salt in learning is shifted by more than one order of magnitude toward higher concentrations. Thus, the input pathways for gustatory behavior appear to be more sensitive than the ones supporting gustatory reinforcement, which is may be due to the dissociation of the reflexive and the reinforcing signalling pathways of salt. Third, in cooperation with Michael Schleyer we performed a series of behavioral gustatory, olfactory preference tests and larval learning experiments. Based on the available neuroanatomical and behavioral data we propose a model regarding chemosensory processing, odor-tastant memory trace formation and the 'decision' like process. It incorporates putative sites of interaction between olfactory and gustatory pathways during the establishment as well as behavioral expression of odor-tastant memory. We claim that innate olfactory behavior is responsive in nature and suggest that associative conditioned behavior is not a simple substitution like process, but driven more likely by the expectation of its outcome. Fourth, together with Birgit Michels and colleagues we investigated the cellular site and molecular mode of Synapsin, an evolutionarily conserved, presynaptic vesicular phosphoprotein and its action in larval learning. We confirmed a previously described learning impairment upon loss of Synapsin. We localized this Synapsin dependent memory trace in the mushroom bodies, a third-order "cortical" brain region, and could further show on molecular level, that Synapsin is as a downstream element of the AC-cAMP-PKA signalling cascade. This study provides a comprehensive chain of explanation from the molecular level to an associative behavioral change. Fifth, in the main part of my thesis I focused on molecular level on another synaptic protein, the Synapse associated protein of 47kDa (Sap47) and its role in larval behavior. As a member of a phylogenetically conserved gene family of hitherto unknown function. It is localized throughout the whole neuropil of larval brains and associated with presynaptic vesicles. Upon loss of Sap47 larvae exhibit normal sensory detection of the to-be-associated stimuli as well as normal motor performance and basic synaptic transmission. Interestingly, short-term plasticity is distorted and odorant–tastant associative learning ability is reduced. This defect in associative function could be rescued by restoring Sap47 expression. Therefore, this report is the first to suggest a function for Sap47 and specifically argues that Sap47 is required for synaptic as well as for behavioral plasticity in Drosophila larva. This prompts the question whether its homologs are required for synaptic and behavioral plasticity also in other species. Further in the last part of my thesis I contributed to the study of Ayse Yarali. Her central topic was the role of the White protein in punishment and relief learning in adult flies. Whereas stimuli that precede shock during training are subsequently avoided as predictors for punishment, stimuli that follow shock during training are later on approached, as they predict relief. Concerning the loss of White we report that pain-relief learning as well as punishment learning is changed. My contribution was a comparison between wild type and the white1118 mutant larvae in odor-reward learning. It turned out that a loss of White has no effect on larval odorant-tastant learning. This study, regarding painrelief learning provides the very first hints concerning the genetic determinants of this form of learning.
Epimutations in Germ-Cell and Embryo Development: Possible Consequences for Assisted Reproduction
(2011)
Assisted reproductive technologies (ART) emerged in the late 1970’s as a therapy for human infertility. Up till now more than 3 million babies have been conceived through ART, demonstrating the safety and efficiency of the technique. Published reports showed an increase in the rate of imprinting disorders (Beckwith Wiedemann Syndrome, Angelman Syndrome, etc.) in babies born after ART. What are the effects imposed through ART and should researchers reassess its safety and implications on the future offspring? Throughout this thesis, I analyzed the methylation patterns of germ cells and embryos to determine whether in vitro maturation and in vitro fertilization have a negative impact on the epigenetic patterns. Furthermore, DNA methylation was compared between sperm of infertile and presumably fertile controls in order to understand whether epigenetic disturbances lead to infertility at the first place. The occurrence of methylation aberrations in germ cells of infertile patients could be transmitted to new-borns and then cause epigenetic disorders. In order to elucidate the imprinting status within single cells, I developed a new technique based on limiting dilution where bisulfite treated DNA is distributed across several wells before amplification. This allowed methylation measurement at the single allele level as well parent of origin detection. In a total of 141 sperm samples from couples undergoing in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI) including 106 with male factor or combined infertility and 28 with female infertility, I detected a significant correlation between lower quality of semen parameters (sperm count, percentage of abnormal sperm, and percentage of motile sperm) and the rate of imprinting errors. ALU repeats displayed a higher methylation in sperm DNA of patients leading to a pregnancy and live birth, compared to patients in which pregnancy was not achieved or a spontaneous abortion occurred. A discriminant analysis based on ALU methylation allowed correct classification of >70% of cases. Preliminary data from illumina methylation arrays where more than 27,000 CpGs were analyzed determined that only a single CpG site from the open reading frame C14orf93 was significantly different between the infertile and presumably fertile control group. However, further improvements on data normalization might permit detection of other differentially methylated regions. Comparison of embryos after natural conception, in vitro fertilized embryos from superovulated oocytes, and embryos achieved through fertilization of in vitro cultured oocytes revealed no dramatic effect on the imprinting patterns of Igf2r, H19, and Snrpn. Oocyte cryotop vitrification did not result in a dramatic increase of imprinting mutations in oocytes even though the rate of sporadic methylation errors in single Snrpn CpGs were higher within the in-vitrified group. Collectively, the results I will present within this thesis suggest an increase in the rate of imprinting errors within the germ cells of infertile patients, in addition to a decrease in genome wide methylation of ALU repetitive elements. I did not observe a detrimental effect on the methylation patterns of oocytes and the resulting embryos using in vitro maturation of oocytes and/or standard IVF with in vivo grown superovulated oocytes.
The present work investigated the neural mechanisms underlying cognitive inhibition/thought suppression in Anderson’s and Green’s Think/No-Think paradigm (TNT), as well as different variables influencing these mechanisms at the cognitive, the neurophysiological, the electrophysiological and the molecular level. Neurophysiological data collected with fNIRS and fMRI have added up to the existing evidence of a fronto-hippocampal network interacting during the inhibition of unwanted thoughts. Some evidence has been presented suggesting that by means of external stimulation of the right dlPFC through iTBS thought suppression might be improved, providing further evidence for an implication of this region in the TNT. A combination of fNIRS with ERP has delivered evidence of a dissociation of early condition-independent attentional and later suppression-specific processes within the dlPFC, both contributing to suppression performance. Due to inconsistencies in the previous literature it was considered how stimulus valence would influence thought suppression by manipulating the emotional content of the to-be-suppressed stimuli. Findings of the current work regarding the ability to suppress negative word or picture stimuli have, however, been inconclusive as well. It has been hypothesized that performance in the TNT might depend on the combination of valence conditions included in the paradigm. Alternatively, it has been suggested that inconsistent findings regarding the suppression of negative stimuli or suppression at all might be due to certain personality traits and/or genetic variables, found in the present work to contribute to thought inhibition in the TNT. Rumination has been shown to be a valid predictor of thought suppression performance. Increased ruminative tendencies led to worse suppression performance which, in the present work, has been linked to less effective recruitment of the dlPFC and in turn less effective down-regulation of hippocampal activity during suppression trials. Trait anxiety has also been shown to interrupt thought suppression despite higher, however, inefficient recruitment of the dlPFC. Complementing the findings regarding ruminative tendencies and decreased thought inhibition a functional polymorphism in the KCNJ6 gene, encompassing a G-to-A transition, has been shown to disrupt thought suppression despite increased activation of the dlPFC. Through the investigation of thought suppression at different levels, the current work adds further evidence to the idea that the TNT reflects an executive control mechanism, which is sensitive to alterations in stimulus valence to some extent, neurophysiological functioning as indicated by its sensitivity to iTBS, functional modulations at the molecular level and personality traits, such as rumination and trait anxiety.
In this thesis a systematic analysis of the correlation effects between lattice dynamics and magnetism in the Multiferroic Manganites RMnO3 with Pnma structure was conducted. For this task, Raman and FT-IR Spectroscopy were employed for an investigation of all optically accessible lattice vibrations, i.e. phonons. To study the correlation effects as well as their specific connections to symmetry and compositional properties of the Multiferroic Manganites, the polarisation and temperature dependence of the phonons were considered explicitly. In combination with lattice dynamical calculations based on Density Functional Theory, two coupling effects - Spin-Phonon Coupling and Electromagnon-Phonon Coupling - were systematically analysed.
Honeybees (Apis mellifera) forage on a great variety of plant species, navigate over large distances to crucial resources, and return to communicate the locations of food sources and potential new nest sites to nest mates using a symbolic dance language. In order to achieve this, honeybees have evolved a rich repertoire of adaptive behaviours, some of which were earlier believed to be restricted to vertebrates. In this thesis, I explore the mechanisms involved in honeybee learning, memory, numerical competence and navigation. The findings acquired in this thesis show that honeybees are not the simple reflex automats they were once believed to be. The level of sophistication I found in the bees’ memory, their learning ability, their time sense, their numerical competence and their navigational abilities are surprisingly similar to the results obtained in comparable experiments with vertebrates. Thus, we should reconsider the notion that a bigger brain automatically indicates higher intelligence.
Attention-deficit/hyperactivity disorder (ADHD) is a genetically complex childhood onset neurodevelopmental disorder which is highly persistent into adulthood. Several chromo-somal regions associated with this disorder were identified previously in genome-wide linkage scans, association (GWA) and copy number variation (CNV) studies. In this work the results of case-control and family-based association studies using a can-didate gene approach are presented. For this purpose, possible candidate genes for ADHD have been finemapped using mass array-based SNP genotyping. The genes KCNIP4, CDH13 and DIRAS2 have been found to be associated with ADHD and, in addition, with cluster B and cluster C personality disorders (PD) which are known to be related to ADHD. Most of the associations found in this work would not withstand correction for multiple testing. However, a replication in several independent populations has been achieved and in conjunction with previous evidence from linkage, GWA and CNV studies, it is assumed that there are true associations between those genes and ADHD. Further investigation of DIRAS2 by quantitative real-time PCR (qPCR) revealed expression in the hippocampus, cerebral cortex and cerebellum of the human brain and a significant increase in Diras2 expression in the mouse brain during early development. In situ hybrid-izations on murine brain slices confirmed the results gained by qPCR in the human brain. Moreover, Diras2 is expressed in the basolateral amygdala, structures of the olfactory system and several other brain regions which have been implicated in the psychopatholo-gy of ADHD. In conclusion, the results of this work provide further support to the existence of a strong genetic component in the pathophysiology of ADHD and related disorders. KCNIP4, CDH13 and DIRAS2 are promising candidates and need to be further examined to get more knowledge about the neurobiological basis of this common disease. This knowledge is essential for understanding the molecular mechanisms underlying the emergence of this disorder and for the development of new treatment strategies.
During the last decades the standard model of particle physics has evolved to one of the most precise theories in physics, describing the properties and interactions of fundamental particles in various experiments with a high accuracy. However it lacks on some shortcomings from experimental as well as from theoretical point of view: There is no approved mechanism for the generation of masses of the fundamental particles, in particular also not for the light, but massive neutrinos. In addition the standard model does not provide an explanation for the observance of dark matter in the universe. Moreover the gauge couplings of the three forces in the standard model do not unify, implying that a fundamental theory combining all forces can not be formulated. Within this thesis we address supersymmetric models as answers to these various questions, but instead of focusing on the most simple supersymmetrization of the standard model, we consider basic extensions, namely the next-to-minimal supersymmetric standard model (NMSSM), which contains an additional singlet field, and R-parity violating models. R-parity is a discrete symmetry introduced to guarantee the stability of the proton. Using lepton number violating terms in the context of bilinear R-parity violation and the munuSSM we are able to explain neutrino physics intrinsically supersymmetric, since those terms induce a mixing between the neutralinos and the neutrinos. Since 2009 the Large Hadron Collider (LHC) at CERN explores the new energy regime of Tera-electronvolt, allowing the production of potentially existing heavy particles by the collision of protons. Thus the near future might provide answers to the open questions of mass generation in the standard model and show hints towards physics beyond the standard model. Therefore this thesis works out the phenomenology of the supersymmetric models under consideration and tries to point out differences to the well-known features of the simplest supersymmetric realization of the standard model. In case of the R-parity violating models the decays of the light neutralinos can result in displaced vertices. In combination with a light singlet state these displaced vertices might offer a rich phenomenology like non-standard Higgs decays into a pair of singlinos decaying with displaced vertices. Within this thesis we present some calculations at next order of perturbation theory, since one-loop corrections provide possibly large contributions to the tree-level masses and decay widths. We are using an on-shell renormalization scheme to calculate the masses of neutralinos and charginos including the neutrinos and leptons in case of the R-parity violating models at one-loop level. The discussion shows the similarities and differences to existing calculations in another renormalization scheme, namely the DRbar scheme. Moreover we consider two-body decays of the form chi_j^0 -> chi_l^\pm W^\mp involving a heavy gauge boson in the final state at one-loop level. Corrections are found to be large in case of small or vanishing tree-level decay widths and also for the R-parity violating decay of the lightest neutralino chi_1^0 -> l^\pm W^\mp. An interesting feature of the models based on bilinear R-parity violation is the correlation between the branching ratios of the lightest neutralino decays and the neutrino mixing angles. We discuss these relations at tree-level and for two-body decays chi_1^0 -> l^\pm W^\mp also at one-loop level, since only the full one-loop corrections result in the tree-level expected behavior. The appendix describes the two programs MaCoR and CNNDecays being developed for the analysis carried out in this thesis. MaCoR allows for the calculation of mass matrices and couplings in the models under consideration and CNNDecays is used for the one-loop calculations of neutralino and chargino mass matrices and the two-body decay widths.
Indirect Search for Dark Matter in the Universe - the Multiwavelength and Multiobject Approach
(2011)
Cold dark matter constitutes a basic tenet of modern cosmology, essential for our understanding of structure formation in the Universe. Since its first discovery by means of spectroscopic observations of the dynamics of the Coma cluster some 80 years ago, mounting evidence of its gravitational pull and its impact on the geometry of space-time has build up across a wide range of scales, from galaxies to the entire Hubble flow. The apparent lack of electromagnetic coupling and independent measurements of the energy density of baryonic matter from the primordial abundances of light elements show the non-baryonic nature of dark matter, and its clustering properties prove that it is cold, i.e. that it has a temperature lower than its mass during the time of radiation-matter equality. A generic particle candidate for cold dark matter are weakly interacting massive particles at the electroweak symmetry-breaking scale, such as the neutralinos in R-parity conserving supersymmetry. Such particles would naturally freeze-out with a cosmologically relevant relic density at early times in the expanding Universe. Subsequent clustering of matter would recover annihilation interactions between the dark matter particles to some extent and thus lead to potentially observable high-energy emission from the decaying unstable secondaries produced in annihilation events. The spectra of the secondaries would permit a determination of the mass and annihilation cross section, which are crucial for the microphysical identification of the dark matter. This the central motivation for indirect dark matter searches. However, presently neither the indirect searches, nor the complementary direct searches based on the detection of elastic scattering events, nor the production of candidate particles in collider experiments, has yet provided unequivocal evidence for dark matter. This does not come as a surprise, since the dark matter particles interact only through weak interactions and therefore the corresponding secondary emission must be extremely faint. It turns out that even for the strongest mass concentrations in the Universe, the dark matter annihilation signal is expected to not exceed the level of competing astrophysical sources. Thus, the discrimination of the putative dark matter annihilation signal from the signals of the astrophysical inventory has become crucial for indirect search strategies. In this thesis, a novel search strategy will be developed and exemplified in which target selection across a wide range of masses, astrophysical background estimation, and multiwavelength signatures play the key role. It turns out that the uncertainties regarding the halo profile and the boost due to surviving substructure are bigger for halos at the lower end of the observed mass scales, i.e. in the regime of dwarf galaxies and below, while astrophysical backgrounds tend to become more severe for massive dark matter halos such as clusters of galaxies. By contrast, the uncertainties due to unknown details of particle physics are invariant under changes of the halo mass. Therefore, the different scaling behaviors can be employed to significantly cut down on the uncertainties in observations of different targets covering a major part of the involved mass scales. This strategical approach was implemented in the scientific program carried out with the MAGIC telescope system. Observations of dwarf galaxies and the Virgo- and Perseus clusters of galaxies have been carried out and, at the time of writing, result in some of the most stringent constraints on weakly interacting massive particles from indirect searches. Here, the low-threshold design of the MAGIC telescope system plays a crucial role, since the bulk of the high-energy photons, produced with a high multiplicity during the fragmentation of unstable dark matter annihilation products, are emitted at energies well below the dark matter mass scale. The upper limits severely constrain less generic, but more prolific scenarios characterized by extraordinarily high annihilation efficiencies.
The subject of this thesis are mathematical programs with complementarity conditions (MPCC). At first, an economic example of this problem class is analyzed, the problem of effort maximization in asymmetric n-person contest games. While an analytical solution for this special problem could be derived, this is not possible in general for MPCCs. Therefore, optimality conditions which might be used for numerical approaches where considered next. More precisely, a Fritz-John result for MPCCs with stronger properties than those known so far was derived together with some new constraint qualifications and subsequently used to prove an exact penalty result. Finally, to solve MPCCs numerically, the so called relaxation approach was used. Besides improving the results for existing relaxation methods, a new relaxation with strong convergence properties was suggested and a numerical comparison of all methods based on the MacMPEC collection conducted.
The charge transport in disordered organic bulk heterojunction (BHJ) solar cells is a crucial process affecting the power conversion efficiency (PCE) of the solar cell. With the need of synthesizing new materials for improving the power conversion efficiency of those cells it is important to study not only the photophysical but also the electrical properties of the new material classes. Thereby, the experimental techniques need to be applicable to operating solar cells. In this work, the conventional methods of transient photoconductivity (also known as "Time-of-Flight" (TOF)), as well as the transient charge extraction technique of "Charge Carrier Extraction by Linearly Increasing Voltage" (CELIV) are performed on different organic blend compositions. Especially with the latter it is feasible to study the dynamics, i.e. charge transport and charge carrier recombination, in bulk heterojunction (BHJ) solar cells with active layer thicknesses of 100-200 nm. For a well performing organic BHJ solar cells the morphology is the most crucial parameter finding a trade-off between an efficient photogeneration of charge carriers and the transport of the latter to the electrodes. Besides the morphology, the nature of energetic disorder of the active material blend and its influence on the dynamics are discussed extensively in this work. Thereby, the material system of poly(3-hexylthiophene-2,5-diyl) (P3HT) and [6,6]-phenyl-C61 butyric acid methyl ester (PC61BM) serves mainly as a reference material system. New promising donor or acceptor materials and their potential for application in organic photovoltaics are studied in view of charge dynamics and compared with the reference system. With the need for commercialization of organic solar cells the question of the impact of environmental conditions on the PCE of the solar cells raises. In this work, organic BHJ solar cells exposed to synthetic air for finite duration are studied in view of the charge carrier transport and recombination dynamics. Finally, within the framework of this work the technique of photo-CELIV is improved. With the modified technique it is now feasible to study the mobility and lifetime of charge carriers in organic solar cells under operating conditions.
Fluorescence Dequenching Makes Haem-Free Soluble Guanylate Cyclase Detectable in Living Cells
(2011)
In cardiovascular disease, the protective NO/sGC/cGMP signalling-pathway is impaired due to a decreased pool of NO-sensitive haem-containing sGC accompanied by a reciprocal increase in NO-insensitive haem-free sGC. However, no direct method to detect cellular haem-free sGC other than its activation by the new therapeutic class of haem mimetics, such as BAY 58-2667, is available. Here we show that fluorescence dequenching, based on the interaction of the optical active prosthetic haem group and the attached biarsenical fluorophor FlAsH can be used to detect changes in cellular sGC haem status. The partly overlap of the emission spectrum of haem and FlAsH allows energy transfer from the fluorophore to the haem which reduces the intensity of FlAsH fluorescence. Loss of the prosthetic group, e. g. by oxidative stress or by replacement with the haem mimetic BAY 58-2667, prevented the energy transfer resulting in increased fluorescence. Haem loss was corroborated by an observed decrease in NO-induced sGC activity, reduced sGC protein levels, and an increased effect of BAY 58-2667. The use of a haem-free sGC mutant and a biarsenical dye that was not quenched by haem as controls further validated that the increase in fluorescence was due to the loss of the prosthetic haem group. The present approach is based on the cellular expression of an engineered sGC variant limiting is applicability to recombinant expression systems. Nevertheless, it allows to monitor sGC's redox regulation in living cells and future enhancements might be able to extend this approach to in vivo conditions.
Introduction
CD4+ T cells express K2P5.1 (TWIK-related acid-sensitive potassium channel 2 (TASK2); KCNK5), a member of the two-pore domain potassium channel family, which has been shown to influence T cell effector functions. Recently, it was shown that K2P5.1 is upregulated upon (autoimmune) T cell stimulation. The aim of this study was to correlate expression levels of K2P5.1 on T cells from patients with rheumatoid arthritis (RA) to disease activity in these patients.
Methods
Expression levels of K2P5.1 were measured by RT-PCR in the peripheral blood of 58 patients with RA and correlated with disease activity parameters (C-reactive protein levels, erythrocyte sedimentation rates, disease activity score (DAS28) scores). Twenty patients undergoing therapy change were followed-up for six months. Additionally, synovial fluid and synovial biopsies were investigated for T lymphocytes expressing K2P5.1.
Results
K2P5.1 expression levels in CD4+ T cells show a strong correlation to DAS28 scores in RA patients. Similar correlations were found for serological inflammatory parameters (erythrocyte sedimentation rate, C-reactive protein). In addition, K2P5.1 expression levels of synovial fluid-derived T cells are higher compared to peripheral blood T cells. Prospective data in individual patients show a parallel behaviour of K2P5.1 expression to disease activity parameters during a longitudinal follow-up for six months.
Conclusions
Disease activity in RA patients correlates strongly with K2P5.1 expression levels in CD4+ T lymphocytes in the peripheral blood in cross-sectional as well as in longitudinal observations. Further studies are needed to investigate the exact pathophysiological mechanisms and to evaluate the possible use of K2P5.1 as a potential biomarker for disease activity and differential diagnosis.
Background
Streptococcus pneumoniae causes serious diseases such as pneumonia and meningitis. Its major pathogenic factor is the cholesterol-dependent cytolysin pneumolysin, which produces lytic pores at high concentrations. At low concentrations, it has other effects, including induction of apoptosis. Many cellular effects of pneumolysin appear to be calcium dependent.
Methods
Live imaging of primary mouse astroglia exposed to sublytic amounts of pneumolysin at various concentrations of extracellular calcium was used to measure changes in cellular permeability (as judged by lactate dehydrogenase release and propidium iodide chromatin staining). Individual pore properties were analyzed by conductance across artificial lipid bilayer. Tissue toxicity was studied in continuously oxygenated acute brain slices.
Results
The reduction of extracellular calcium increased the lytic capacity of the toxin due to increased membrane binding. Reduction of calcium did not influence the conductance properties of individual toxin pores. In acute cortical brain slices, the reduction of extracellular calcium from 2 to 1 mM conferred lytic activity to pathophysiologically relevant nonlytic concentrations of pneumolysin.
Conclusions
Reduction of extracellular calcium strongly enhanced the lytic capacity of pneumolysin due to increased membrane binding. Thus, extracellular calcium concentration should be considered as a factor of primary importance for the course of pneumococcal meningitis. "
Spuma- or foamy viruses (FV), endemic in most non-human primates, cats, cattle and horses, comprise a special type of retrovirus that has developed a replication strategy combining features of both retroviruses and hepadnaviruses. Unique features of FVs include an apparent apathogenicity in natural hosts as well as zoonotically infected humans, a reverse transcription of the packaged viral RNA genome late during viral replication resulting in an infectious DNA genome in released FV particles and a special particle release strategy depending capsid and glycoprotein coexpression and specific interaction between both components. In addition, particular features with respect to the integration profile into the host genomic DNA discriminate FV from orthoretroviruses. It appears that some inherent properties of FV vectors set them favorably apart from orthoretroviral vectors and ask for additional basic research on the viruses as well as on the application in Gene Therapy. This review will summarize the current knowledge of FV biology and the development as a gene transfer system.
Estimating flood risks and managing disasters combines knowledge in climatology, meteorology, hydrology, hydraulic engineering, statistics, planning and geography - thus a complex multi-faceted problem. This study focuses on the capabilities of multi-source remote sensing data to support decision-making before, during and after a flood event. With our focus on urbanized areas, sample methods and applications show multi-scale products from the hazard and vulnerability perspective of the risk framework. From the hazard side, we present capabilities with which to assess flood-prone areas before an expected disaster. Then we map the spatial impact during or after a flood and finally, we analyze damage grades after a flood disaster. From the vulnerability side, we monitor urbanization over time on an urban footprint level, classify urban structures on an individual building level, assess building stability and quantify probably affected people. The results show a large database for sustainable development and for developing mitigation strategies, ad-hoc coordination of relief measures and organizing rehabilitation.
Background
"Negative affect" is one of the major migraine triggers. The aim of the study was to assess attentional biases for negative affective stimuli that might be related to migraine triggers in migraine patients with either few or frequent migraine and healthy controls.
Methods
Thirty-three subjects with frequent migraine (FM) or with less frequent episodic migraine, and 20 healthy controls conducted two emotional Stroop tasks in the interictal period. In task 1, general affective words and in task 2, pictures of affective faces (angry, neutral, happy) were used. For each task we calculated two emotional Stroop indices. Groups were compared using one-way ANOVAs.
Results
The expected attentional bias in migraine patients was not found. However, in task 2 the controls showed a significant attentional bias to negative faces, whereas the FM group showed indices near zero. Thus, the FM group responded faster to negative than to positive stimuli. The difference between the groups was statistically significant.
Conclusions
The findings in the FM group may reflect a learned avoidance mechanism away from affective migraine triggers.
Background
Genome wide association studies reported two single nucleotide polymorphisms in ANK3 (rs9804190 and rs10994336) as independent genetic risk factors for bipolar disorder. Another SNP in ANK3 (rs10761482) was associated with schizophrenia in a large European sample. Within the debate on common susceptibility genes for schizophrenia and bipolar disorder, we tried to investigate common findings by analyzing association of ANK3 with schizophrenia, bipolar disorder and unipolar depression.
Methods
We genotyped three single nucleotide polymorphisms (SNPs) in ANK3 (rs9804190, rs10994336, and rs10761482) in a case-control sample of German descent including 920 patients with schizophrenia, 400 with bipolar affective disorder, 220 patients with unipolar depression according to ICD 10 and 480 healthy controls. Sample was further differentiated according to Leonhard's classification featuring disease entities with specific combination of bipolar and psychotic syndromes.
Results
We found no association of rs9804190 and rs10994336 with bipolar disorder, unipolar depression or schizophrenia. In contrast to previous findings rs10761482 was associated with bipolar disorder (p = 0.015) but not with schizophrenia or unipolar depression. We observed no association with disease entities according to Leonhard's classification.
Conclusion
Our results support a specific genetic contribution of ANK3 to bipolar disorder though we failed to replicate findings for schizophrenia. We cannot confirm ANK3 as a common risk factor for different diseases.
Background
Investigation of the expression of an intestinal stem cell marker in esophageal adenocarcinomas (EAC) with and without Barrett's Esophagus (BE), with respect to a cancer stem cell (CSC) hypothesis.
Materials and methods
Expression of a putative intestinal stem cell marker LgR5 was analyzed in esophageal cancer specimen (n = 70: 41 EAC with BE, 19 EAC without BE, and n = 10 esophageal squamous-cell carcinomas, ESCC) and in the adenocarcinoma cell line OE-33. Ki-67 and Cdx-2 were co-labelled with LgR5 in double staining experiments. Immunhistochemical expression results were confirmed by RT-PCR and correlated with tumor stage and five-year survival rates.
Results
LgR5was found expressed in 35 of 41 (85%) EAC with BE and in 16 of 19 (81%) EAC without BE. By contrast, LgR5 was not found to be expressed in ESCC. Quantification of immunolabeling showed 15% LgR5+ cells in EAC with BE, 32% LgR5+ cells in adjacent BE and 13% in EAC without BE. Immunofluorescence double staining experiments with LgR5 and Ki-67 revealed a subpopulation (~5%) of proliferating LgR+/Ki-67+ cells. On mRNA-level, expression of LgR5 was higher in BE in comparison to EAC (p = 0.0159). High levels of LgR5 expression in BE associated EAC were associated with poorer survival in univariate analysis.
Conclusion
The stem cell marker LgR5 is expressed in EAC, irrespective of association with BE, and appears to have negative impact on survival. The subset of proliferating LgR5+ cells (<5%) might resemble rapidly cycling CSCs, which needs to be substantiated in further investigations.
In Vivo Imaging of Stepwise Vessel Occlusion in Cerebral Photothrombosis of Mice by \(^{19}\)F MRI
(2011)
Background
\(^{19}\)F magnetic resonance imaging (MRI) was recently introduced as a promising technique for in vivo cell tracking. In the present study we compared \(^{19}\)F MRI with iron-enhanced MRI in mice with photothrombosis (PT) at 7 Tesla. PT represents a model of focal cerebral ischemia exhibiting acute vessel occlusion and delayed neuroinflammation.
Methods/Principal Findings
Perfluorocarbons (PFC) or superparamagnetic iron oxide particles (SPIO) were injected intravenously at different time points after photothrombotic infarction. While administration of PFC directly after PT induction led to a strong \(^{19}\)F signal throughout the entire lesion, two hours delayed application resulted in a rim-like \(^{19}\)F signal at the outer edge of the lesion. These findings closely resembled the distribution of signal loss on T2-weighted MRI seen after SPIO injection reflecting intravascular accumulation of iron particles trapped in vessel thrombi as confirmed histologically. By sequential administration of two chemically shifted PFC compounds 0 and 2 hours after illumination the different spatial distribution of the \(^{19}\)F markers (infarct core/rim) could be visualized in the same animal. When PFC were applied at day 6 the fluorine marker was only detected after long acquisition times ex vivo. SPIO-enhanced MRI showed slight signal loss in vivo which was much more prominent ex vivo indicative for neuroinflammation at this late lesion stage.
Conclusion
Our study shows that vessel occlusion can be followed in vivo by \(^{19}\)F and SPIO-enhanced high-field MRI while in vivo imaging of neuroinflammation remains challenging. The timing of contrast agent application was the major determinant of the underlying processes depicted by both imaging techniques. Importantly, sequential application of different PFC compounds allowed depiction of ongoing vessel occlusion from the core to the margin of the ischemic lesions in a single MRI measurement.