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This dissertation provides a comprehensive account of the grammar of relative clause extraposition in English. Based on a systematic review and evaluation of the empirical generalizations and theoretical approaches provided in the literature on generative grammar, it is shown that none of the previous theories is able to account for all the relevant facts. Among the most problematic data are the Principle C and scope effects of relative clause extraposition, cases with obligatory relative clauses, and relative clauses with elliptical NPs as antecedents.
I propose a new analysis of relative clause extraposition within the constraint-based, monostratal grammatical framework of Head-driven Phrase Structure Grammar (HPSG), enhanced with the semantic theory of Lexical Resource Semantics (LRS). Crucially, it is a general analysis of relative clause attachment, since both canonical and extraposed relative clauses are licensed by the same syntactic and semantic constraints. The basic assumption is that a relative clause can be adjoined to any phrase that contains a suitable antecedent of the relative pronoun. The semantic information that licenses the relative clause is introduced by the determiner of the antecedent NP. The techniques of underspecified semantics and the standard semantic representation language used by LRS make it possible to formulate constraints which yield the correct intersective interpretation of the relative clause (arbitrarily distant from its antecedent NP) and at the same time link the scope of the antecedent NP to the adjunction site of the relative clause.
In combination with the revised HPSG binding theory developed in this dissertation, the proposed analysis is able to capture the major properties of relative clause attachment within a unified and internally consistent monostratal constraint-based grammatical framework.
In this doctoral thesis the transformation from relativistic hydrodynamics to transport and vice versa is studied. Approximations made by hybrid (hydrodynamics + transport) simulations of relativistic heavy ion collisions are discussed and their reliability is assessed at intermediate collision energies. A new method to simulate heavy ion collisions is suggested, based on the forced thermalization in high-density regions.
Algae as primary producers are highly important in aquatic ecosystems and provide a variety of environmental and anthropogenic services. In small lotic ecosystems in agriculturally influenced landscapes, algae are often the main constituent of the base of the food web and they contribute considerably to biodiversity. Within these small lotic ecosystems, algae are influenced by both natural stressors, such as flow regime and dry-out events, and anthropogenic factors. Agricultural practices especially influence algal communities by introducing plant protection products (PPP) and fertilizers into the water. The impacts of these exposures and how they affect planktonic algae in particular are not yet well studied in small lotic ecosystems. However, the protection of algae as primary producers is of high relevance and was thus included in official biomonitoring programs such as the European Water Framework Directive (WFD) or in risk assessment of e.g. PPPs. Hence, this thesis addresses this knowledge gap and links new information on algal communities in small lotic ecosystems with biomonitoring and risk assessment.
Data was gathered from small ditches and streams in central Germany as well as from laboratory algal assays. A technique to rapidly classify and quantify planktonic and benthic algae based on their photopigment concentration (measured via delayed fluorescence - DF) in ecological and ecotoxicological studies was assessed, both in the laboratory and in the field. This research provides insight into planktonic and benthic algal communities in small streams and ditches in order to improve management and protection strategies in the face of increased agricultural chemical input. ...
Compact stars can be treated as the ultimate laboratories for testing theories of dense matter. They are not only extremely dense objects, but they are known to be associated with strong magnetic fields, fast rotation and, in certain cases, with very high temperatures. Here, we present several different approaches to model numerically the signatures and properties of these stars, namely:
•The effects of strong magnetic fields on hybrid stars by using a fully general relativistic approach. We solved the coupled Maxwell-Einstein equations in a self-consistent way, taking into consideration the anisotropy of the energy-momentum tensor due purely to the magnetic field, magnetic field effects on equation of state and the interaction between matter and the magnetic field (magnetization). We showed that the effects of the magnetization and the magnetic field on the equation of state for matter do not play an important role on global properties of neutron stars (only the pure magnetic _eld contribution does). In addition, the magnetic field breaks the spherical symmetry of stars, inducing major changes in the populated degrees of freedom inside these objects and, potentially, converting a hybrid star into a hadronic star over time.
•The effects of magnetic fields and rotation on the structure and composition of proto-neutron stars. We found that the magnetic field not only deforms these stars, but also significantly alters the number of trapped neutrinos in the stellar interior, together with the strangeness content and temperature in each evolution stage from a hot proto-neutron star to a cold neutron star.
•The influence of the quark-hadron phase transitions in neutron stars. In particular, previous calculations have shown that fast rotating neutron stars, when subjected to a quark-hadron phase transition in their interiors, could give rise to the backbending phenomenon characterized by a spin-up era. In this work, we obtained the interesting backbending phenomenon for fast spinning neutron stars. More importantly, we showed that a magnetic field, which is assumed to be axisymmetric and poloidal, can also be enhanced due to the phase transition from normal hadronic matter to quark matter on highly magnetized neutron stars. Therefore, in parallel to the spin-up era, classes of neutron stars endowed with strong magnetic fields may go through a `magnetic-up era' in their lives.
•Finally, we were also able to calculate super-heavy white dwarfs in the presence of strong magnetic fields. White dwarfs are the progenitors of supernova Type Ia explosions and they are widely used as candles to show that the Universe is expanding and accelerating. However, observations of ultraluminous supernovae have suggested that the progenitor of such an explosion should be a white dwarf with mass above the well-known Chandrasekhar limit ~ 1.4 M. In corroboration with other works, but by using a fully general relativistic framework, we obtained also strongly magnetized white dwarfs with masses M ~ 2:0 M.
Riboswitches are an important class of regulatory RNA elements that respond to cellular metabolite concentrations to regulate gene expression in a highly selective manner. 2’-deoxyguanosine-sensing (2’dG) riboswitches represent a unique riboswitch subclass only found in the bacterium Mesoplasma florum and are closely related to adenine- and guanine-sensing riboswitches. The I-A type 2’dG-sensing riboswitch represses the expression of ribonucleotide reductase genes at high cellular concentrations of 2’dG as a result of premature transcription termination.
Increasing evidence within the last decade suggests that transcriptional regulation by riboswitches is controlled kinetically and emphasizes the importance of co-transcriptional folding.2–4 Addition of single nucleotides to nascent transcripts causes a continuous shift in structural equilibrium, where refolding rates are competing with the rate of transcription.5,6
For transcriptional riboswitches, both ligand binding and structural rearrangements within the expression platform are precisely coordinated in time with the rate of transcription. The current thesis investigates the mechanistic details of transcriptional riboswitch regulation using the I-A 2’dG-sensing riboswitch as an example for a riboswitch that acts under kinetic control.
The centerpiece of all neuronal processes is the synaptic transmission. It consists of a complex series of events. Two key elements are the binding of synaptic vesicles (SV) to the presynaptic membrane and the subsequent fusion of the two membranes. SV are neurotransmitter-filled membranous spheres with many integral and peripheral proteins. The synaptic SNARE complex consists of three interacting proteins, which energize and regulate the fusion of the SV membrane with the presynaptic membrane. Both processes are closely orchestrated to ensure a specific release of neurotransmitter. Already many experiments have been performed, such as genetic screens and proteome analysis of SV, to determine the functions of the various proteins involved. Nevertheless, the functions of the identified proteins are still not fully elucidated. The aim of this thesis was initially applying a tandem affinity purification (TAP) of SV to identify unknown interaction partner of SV and to determine their role. This was supposed to be performed in the model organism Caenorhabditis elegans (C. elegans). The underlying mechanisms are conserved throughout the phylogentic tree and identified interaction partners will help to understand the processes in the mammalian brain. Although there is no neuron-rich tissue in C. elegans as in other model organisms, the diverse genetic methods allows a rapid creation of modified organisms and a prompt determination of the function of identified proteins. The integral SV protein synaptogyrin has been fused to a TAP-tag. The TAP-tag consists of a ProteinA, a TEV protease cleavage site and a calmodulin binding peptide (CBP). Both affinity purification steps are performed sequentially and allow a highly specific native purification of proteins and their interaction partners. Due to technical difficulties the purification strategy was modified several times during the course of this thesis and then finally abandoned for a more promising project, the SNARE complex purification. In conclusion, one of the reasons was the necessary lack of detergent.
The amended aim of this thesis has been the TAP of solubilized SNARE complex to identify unknown interaction partner and to determine their role. In order to increase the specificity of the purification, in terms of formed complexes, the two SNARE subunits, synaptobrevin (SNB-1 in C. elegans) and syntaxin (UNC-64 in C. elegans), were separately fused to the different affinity tags. As the modifications of the proteins could impair their function and lead to false interaction partners, their functionality was tested. For this purpose, the corresponding fusion constructs were expressed in strains with mutated snb¬1 and unc-64. Non-functional synaptic proteins display an altered course of paralysis in an aldicarb assay. The fusion proteins which were expressed in their respective mutant strains displayed a near to wild-type (WT) behavior in contrast to the naive mutant strains. Multiple TAP demonstrated SNB-1 signals in Western blot analysis and complex sets of proteins in the final elution step in a silver staining of SDS-PAGEs. These samples were sent with negative control (WT purification) for MS analysis to various cooperation partners. 119 proteins were identified which appeared only in data sets with SNARE proteins and not in WT samples. If proteins were detected in ≥ 2 SNARE positive MS analysis and had known neural functions or homologies to neuronal proteins in other species, they were selected for further analysis. These candidates were knocked down by RNAi and tested for synaptic function in a following aldicarb assay. The treatment with their specific RNAi resulted for mca-3 in a strong resistance, while frm-2, snap-29, ekl-6, klb-8, mdh-2, pfk-2, piki-1 and vamp-8 resulted in hypersensitivity. The most responsive genes frm-2, snap-29 and mca-3 were examined, whether they displayed a co-localization together with synaptobrevin in promoter fusion constructs or functional fusion constructs. In fluorescence microscopy images only MCA-3::YFP demonstrated neuronal expression.
In order to substantiate the synaptic nature and functionality of the MCA-3::YFP a swimming assay was performed. Here, fusion construct expressing strains, which contained mutated mca-3, were compared with untreated mutant strains and WT strains according to their behavior. In this swimming assay a partial restoration of WT behavior was shown in the MCA-3::YFP expressing mutant strains. Based on these data, we discovered with MCA 3 a new interaction partner of the SNARE complex. MCA-3 is a plasma membrane Ca2+-ATPase and was initially seen only in their role in the endocytosis. Its new putative role is the reduction of Ca2+ concentration at the bound SNARE complex. Since an interaction of syntaxin with Ca2+ channels has been demonstrated, it would be comprehensible to reduce the local concentration of Ca2+ to a minimum by tethering Ca2+ transporters to the SNARE complex.
Biological ageing is a degenerative and irreversible process, ultimately leading to death of the organism. The process is complex and under the control of genetic, environmental and stochastic traits. Although many theories have been established during the last decades, none of these are able to fully describe the complex mechanisms, which lead to ageing. Generally, biological processes and environmental factors lead to molecular damage and an accumulation of impaired cellular components. In contrast, counteracting surveillance systems are effective, including repair, remodelling and degradation of damaged or impaired components, respectively. Nevertheless, at some point these systems are no longer effective, either because the increasing amount of molecular damages can not longer be removed efficiently or because the repairing and removing mechanisms themselves become affected by impairing effects. The organism finally declines and dies. To investigate and to understand these counteracting mechanisms and the complex interplay of decline and maintenance, holistic and systems biological investigations are required. Hence, the processes which lead to ageing in the fungal model organism Podospora anserina, had been analysed using different advanced bioinformatics methods. In contrast to many other ageing models, P. anserina exhibits a short lifespan, a less biochemical complexity and it provides a good accessibility for genetic manipulations.
To achieve a general overview on the different biochemical processes, which are affected during ageing in P. anserina, an initial comprehensive investigation was applied, which aimed to reveal genes significantly regulated and expressed in an age-dependent manner. This investigation was based on an age-dependent transcriptome analysis. Sophisticated and comprehensive analyses revealed different age-related pathways and indicated that especially autophagy may play a crucial role during ageing. For example, it was found that the expression of autophagy-associated genes increases in the course of ageing.
Subsequently, to investigate and to characterise the autophagy pathway, its associated single components and their interactions, Path2PPI, a new bioinformatics approach, was developed. Path2PPI enables the prediction of protein-protein interaction networks of particular pathways by means of a homology comparison approach and was applied to construct the protein-protein interaction network of autophagy in P. anserina.
The predicted network was extended by experimental data, comprising the transcriptome data as well as newly generated protein-protein interaction data achieved from a yeast two-hybrid analysis. Using different mathematical and statistical methods the topological properties of the constructed network had been compared with those of randomly generated networks to approve its biological significance. In addition, based on this topological and functional analysis, the most important proteins were determined and functional modules were identified, which correspond to the different sub-pathways of autophagy. Due to the integrated transcriptome data the autophagy network could be linked to the ageing process. For example, different proteins had been identified, which genes are continuously up- or down-regulated during ageing and it was shown for the first time that autophagy-associated genes are significantly often co-expressed during ageing.
The presented biological network provides a systems biological view on autophagy and enables further studies, which aim to analyse the relationship of autophagy and ageing. Furthermore, it allows the investigation of potential methods for intervention into the ageing process and to extend the healthy lifespan of P. anserina as well as of other eukaryotic organisms, in particular humans.
Measuring information processing in neural data: The application of transfer entropy in neuroscience
(2017)
It is a common notion in neuroscience research that the brain and neural systems in general "perform computations" to generate their complex, everyday behavior (Schnitzer, 2002). Understanding these computations is thus an important step in understanding neural systems as a whole (Carandini, 2012;Clark, 2013; Schnitzer, 2002; de-Wit, 2016). It has been proposed that one way to analyze these computations is by quantifying basic information processing operations necessary for computation, namely the transfer, storage, and modification of information (Langton, 1990; Mitchell, 2011; Mitchell, 1993;Wibral, 2015). A framework for the analysis of these operations has been emerging (Lizier2010thesis), using measures from information theory (Shannon, 1948) to analyze computation in arbitrary information processing systems (e.g., Lizier, 2012b). Of these measures transfer entropy (TE) (Schreiber2000), a measure of information transfer, is the most widely used in neuroscience today (e.g., Vicente, 2011; Wibral, 2011; Gourevitch, 2007; Vakorin, 2010; Besserve, 2010; Lizier, 2011; Richter, 2016; Huang, 2015; Rivolta, 2015; Roux, 2013). Yet, despite this popularity, open theoretical and practical problems in the application of TE remain (e.g., Vicente, 2011; Wibral, 2014a). The present work addresses some of the most prominent of these methodological problems in three studies.
The first study presents an efficient implementation for the estimation of TE from non-stationary data. The statistical properties of non-stationary data are not invariant over time such that TE can not be easily estimated from these observations. Instead, necessary observations can be collected over an ensemble of data, i.e., observations of physical or temporal replications of the same process (Gomez-Herrero, 2010). The latter approach is computationally more demanding than the estimation from observations over time. The present study demonstrates how to handles this increased computational demand by presenting a highly-parallel implementation of the estimator using graphics processing units.
The second study addresses the problem of estimating bivariate TE from multivariate data. Neuroscience research often investigates interactions between more than two (sub-)systems. It is common to analyze these interactions by iteratively estimating TE between pairs of variables, because a fully multivariate approach to TE-estimation is computationally intractable (Lizier, 2012a; Das, 2008; Welch, 1982). Yet, the estimation of bivariate TE from multivariate data may yield spurious, false-positive results (Lizier, 2012a;Kaminski, 2001; Blinowska, 2004). The present study proposes that such spurious links can be identified by characteristic coupling-motifs and the timings of their information transfer delays in networks of bivariate TE-estimates. The study presents a graph-algorithm that detects these coupling motifs and marks potentially spurious links. The algorithm thus partially corrects for spurious results due to multivariate effects and yields a more conservative approximation of the true network of multivariate information transfer.
The third study investigates the TE between pre-frontal and primary visual cortical areas of two ferrets under different levels of anesthesia. Additionally, the study investigates local information processing in source and target of the TE by estimating information storage (Lizier, 2012) and signal entropy. Results of this study indicate an alternative explanation for the commonly observed reduction in TE under anesthesia (Imas, 2005; Ku, 2011; Lee, 2013; Jordan, 2013; Untergehrer, 2014), which is often explained by changes in the underlying coupling between areas. Instead, the present study proposes that reduced TE may be due to a reduction in information generation measured by signal entropy in the source of TE. The study thus demonstrates how interpreting changes in TE as evidence for changes in causal coupling may lead to erroneous conclusions. The study further discusses current bast-practice in the estimation of TE, namely the use of state-of-the-art estimators over approximative methods and the use of optimization procedures for estimation parameters over the use of ad-hoc choices. It is demonstrated how not following this best-practice may lead to over- or under-estimation of TE or failure to detect TE altogether.
In summary, the present work proposes an implementation for the efficient estimation of TE from non-stationary data, it presents a correction for spurious effects in bivariate TE-estimation from multivariate data, and it presents current best-practice in the estimation and interpretation of TE. Taken together, the work presents solutions to some of the most pressing problems of the estimation of TE in neuroscience, improving the robust estimation of TE as a measure of information transfer in neural systems.
The East African Rift System (EARS) was initiated in the Eocene epoch between 50 and 21 Ma probably due to the influence of mantle plumes that caused volcanism, flood basalts and rifting extensions in Ethiopa and the Afar region. As a result of magmatic intrusions and adiabatic decompression melting within the lithosphere caused by the impact of the Kenya plume, there was a southward propagation of the EARS of about 30 – 15 Ma from Ethiopia to Kenya, which coincide with the occurrence of volcanism. The EARS developed towards the south along the margins of the Tanzania Craton between 15 and 8 Ma. Previous findings of low-velocity anomalies within the upper mantle and the mantle transition zone indicate an upwelling of hot mantle material in the vicinity of the Afar region and the East African Rift. This study includes the analysis of P- and S-receiver functions in order to determine further impacts on the lithosphere from below. The aim was to determine the topographic undulations of further boundary layers and to identify their variability owing to the rifting processes and the formation of the EARS. The study area included the Tanzania Craton and the surrounding rift branches of the East African Rift System.
The region of the Rwenzori Mountains can be analysed in detail because of the large dataset of the RiftLink project. The use of the P-receiver function technique and the H-K stacking method enabled to determine different vP /vS ratios depending on the tectonic setting in the Rwenzori region: Rift shoulders (vP /vS =1.74), Albert Rift segment (vP /vS =1.80), Edward Rift segment (vP /vS =1.87) and Rwenzori Mountains (vP /vS =1.86). To determine the topography of the Moho, it is necessary to take into account the thickness of the sedimentary layer, the surface topography, the azimuthal variations in crustal thickness and the impact of local anomalies. After correcting these effects on the Moho depths, significant variations in Moho topography could be determined. The Moho depths range from 29 to 39 km beneath the rift shoulders of the Albertine Rift. Within the rift valley, the crustal thickness varies between 25 – 31 km in the Edward Rift segment and 22 – 30 km in the Albert Rift segment. An averaged crustal thickness of about 26 km within the rift valley indicates the lack of the crustal root beneath the Rwenzoris. Similar variations in crustal thickness were determined by using an automatic procedure for analysing S-receiver functions that was developed in this study.
The S-receiver functions are created by applying a rotation criterion in order to rotate the Z, N and E components into the L, Q and T components. It is necessary to perform trial rotations using different incident and azimuth angles to determine the correct rotation angles. The latter are identified by the use of the rotation criterion, including the amplitude ratio of the converted Moho signal to the direct S/SKS-wave signal. The L component is rotated correctly in the direction of the incident shear wave in the case of the maximum amplitude ratio. After analysing the frequency content of the receiver functions in order to sort out harmonic and long-periodic traces, the individual Moho signals are checked for consistency in order to remove atypic signals. To increase the signal-to-noise ratios on the traces, the S-receiver functions are stacked. For this purpose, the signals of the direct shear waves must originate from similar epicenters. On the basis of similar ray paths, the receiver functions show comparable waveforms and converted signals. To perform the stacking procedure, it is necessary to merge the datasets of the adjacent stations in order to obtain a sufficient number of receiver functions. This analysis is based on the assumption that the incident seismic waves arriving at the adjacent stations penetrate to some extent the same underground structures in the case of similar wave propagation paths. This approach accounts for the fact that the converted signals do not result exclusively from the piercing points at the boundary layers. Further signals originate from the conversions at the boundary layer within the Fresnel Zone. The piercing points are derived from the significant signals in the receiver functions. Depending on the order of arrival of the converted phases on the traces, the signals are attributed to the theoretical discontinuities DIS1, DIS2, DIS3 and DIS4. However, partly due to the low signal-to-noise ratios on the traces, it is difficult to identify the real conversions on the traces and to ensure that the converted signals are attributed to the correct boundary layers. For this reason, it is necessary to check the consistency of the conversion depths among each other. In the case of inconsistent conversion depths, the corresponding signals are either adjusted to another seismic boundary layer or removed from the dataset. To verify the functionality of the automatic procedure and to determine the resolvability with respect to two boundary layers, several models are tested including horizontal and dipping discontinuities. To resolve distinct discontinuities, their depths must differ by at least 60 km, otherwise, due to similar depth ranges of the different boundary layers, the converted signals cannot be separated from each other. As a consequence, the converted signals that originate from different discontinuities are attributed to a single one. Further tests including break-off edges of seismic discontinuities are performed to check the attributions of the converted signals to the discontinuities. Owing to the varying number of boundary layers, the converted signals cannot be attributed to the discontinuities according to the order of their arrivals on the traces. It is necessary to correct their attributions to the seismic discontinuities in order to resolve the boundary layers.
The crust-mantle boundary and further discontinuities within the lithospheric mantle are investigated by applying this automatic procedure. Depending on the tectonic setting, the conversion depths of the Moho range from about 30 – 45 km beneath the western rift shoulder to 20 – 35 km within the rift valley up to 30 – 40 km beneath the eastern rift shoulder. The long wavelengths of the shear waves hamper the correct identification of the converted phases in the S-receiver functions. With respect to the relative differences in conversion depth, the topographic undulations of the crust-mantle boundary are consistent with the Moho depths derived from P-receiver functions. In contrast to the Rwenzori region, it is difficult to resolve completely the trend of the Moho in the remaining area of the East African Rift due to the small dataset provided by IRIS. The results exibit an increase in crustal thickness to up to 45 km in the region of the Cenozoic volcanics such as Virunga, Kivu, Rungwe and Kenya. The greatest Moho depths of more than 50 km are located near Mount Kilimanjaro. In addition to the Moho, the analysis of the S-receiver functions revealed two further boundary layers at depths of 60 – 140 km and 110 – 260 km, which are associated with a mid-lithospheric discontinuity and the lithosphere-asthenosphere boundary, respectively. The shallowest conversion depths of the LAB are focussed to small-scale regions within the rift branches, namely the northern Albertine Rift, the Chyulu Hills and the Mozambique Belt, which are located around the Tanzania Craton. The larger thickness of the lithosphere beneath the cratonic terrain indicates that the Tanzania Craton is not significantly eroded. However, there are indications that the lithosphere beneath the craton and the rift branches is penetrated by ascending asthenospheric melts to depths of up to 140 and 60 km, respectively. The top of the ascending melts is associated with the occurrence of the mid-lithospheric discontinuity. The shallowest conversion depths of this boundary layer (60 – 90 km) are related to the rifted areas of the EARS and the Cenozoic volcanic provinces, which are located along the Albertine Rift, the Kenya Rift and the Rukwa-Malawi rift zones. The deepest conversion depths of up to 140 km are related to the Rwenzori Belt, the Ugandan Basement Complex and the interior of the Tanzania Craton.
Echolocation allows bats to orientate in darkness without using visual information. Bats emit spatially directed high frequency calls and infer spatial information from echoes coming from call reflections in objects (Simmons 2012; Moss and Surlykke 2001, 2010). The echoes provide momentary snapshots, which have to be integrated to create an acoustic image of the surroundings. The spatial resolution of the computed image increases with the quantity of received echoes. Thus, a high call rate is required for a detailed representation of the surroundings.
One important parameter that the bats extract from the echoes is an object’s distance. The distance is inferred from the echo delay, which represents the duration between call emission and echo arrival (Kössl et al. 2014). The echo delay decreases with decreasing distance and delay-tuned neurons have been characterized in the ascending auditory pathway, which runs from the inferior colliculus (Wenstrup et al. 2012; Macías et al. 2016; Wenstrup and Portfors 2011; Dear and Suga 1995) to the auditory cortex (Hagemann et al. 2010; Suga and O'Neill 1979; O'Neill and Suga 1982).
Electrophysiological studies usually characterize neuronal processing by using artificial and simplified versions of the echolocation signals as stimuli (Hagemann et al. 2010; Hagemann et al. 2011; Hechavarría and Kössl 2014; Hechavarría et al. 2013). The high controllability of artificial stimuli simplifies the inference of the neuronal mechanisms underlying distance processing. But, it remains largely unexplored how the neurons process delay information from echolocation sequences. The main purpose of the thesis is to investigate how natural echolocation sequences are processed in the brain of the bat Carollia perspicillata. Bats actively control the sensory information that it gathers during echolocation. This allows experimenters to easily identify and record the acoustic stimuli that are behaviorally relevant for orientation. For recording echolocation sequences, a bat was placed in the mass of a swinging pendulum (Kobler et al. 1985; Beetz et al. 2016b). During the swing the bat emitted echolocation calls that were reflected in surrounding objects. An ultrasound sensitive microphone traveling with the bat and positioned above the bat’s head recorded the echolocation sequence. The echolocation sequence carried delay information of an approach flight and was used as stimulus for neuronal recordings from the auditory cortex and inferior colliculus of the bats.
Presentation of high stimulus rates to other species, such as rats, guinea pigs, suppresses cortical neuron activity (Wehr and Zador 2005; Creutzfeldt et al. 1980). Therefore, I tested if neurons of bats are suppressed when they are stimulated with high acoustic rates represented in echolocation sequences (sequence situation). Additionally, the bats were stimulated with randomized call echo elements of the sequence and an interstimulus time interval of 400 ms (element situation). To quantify neuronal suppression induced by the sequence, I compared the response pattern to the sequence situation with the concatenated response patterns to the element situation. Surprisingly, although the bats should be adapted for processing high acoustic rates, their cortical neurons are vastly suppressed in the sequence situation (Beetz et al. 2016b). However, instead of being completely suppressed during the sequence situation, the neurons partially recover from suppression at a unit specific call echo element. Multi-electrode recordings from the cortex allow assessment of the representation of echo delays along the cortical surface. At the cortical level, delay-tuned neurons are topographically organized. Cortical suppression improves sharpness of neuronal tuning and decreases the blurriness of the topographic map. With neuronal recordings from the inferior colliculus, I tested whether the echolocation sequence also induced neuronal suppression at subcortical level. The sequence induced suppression was weaker in the inferior colliculus than in the cortex. The collicular response makes the neurons able to track the acoustic events in the echolocation sequence. Collicular suppression mainly improves the signal-to-noise ratio. In conclusion, the results demonstrate that cortical suppression is not necessarily a shortcoming for temporal processing of rapidly occurring stimuli as it has previously been interpreted.
Natural environments are usually composed of multiple objects. Thus, each echolocation call reflects off multiple objects resulting in multiple echoes following the calls. At present, it is largely unexplored how neurons process echolocation sequences containing echo information from more than one object (multi-object sequences). Therefore, I stimulated bats with a multi-object sequence which contained echo information from three objects. The objects were different distances away from each other. I tested the influence of each object on the neuronal tuning by stimulating the bats with different sequences created from filtering object specific echoes from the multi-object sequence. The cortex most reliably processes echo information from the nearest object whereas echo information from distant objects is not processed due to neuronal suppression. Collicular neurons process less selectively echo information from certain objects and respond to each echo.
For proper echolocation, bats have to distinguish between own biosonar signals and the signals coming from conspecifics. This can be quite challenging when many bats echolocate adjacent to each other. In behavioral experiments, the echolocation performance of C. perspicillata was tested in the presence of potentially interfering sounds. In the presence of acoustic noise, the bats increase the sensory acquisition rate which may increase the update rate of sensory processing. Neuronal recordings from the auditory cortex and inferior colliculus could strengthen the hypothesis. Although there were signs of acoustic interference or jamming at neuronal level, the neurons were not completely suppressed and responded to the rest of the echolocation sequence.
In der vorliegenden Arbeit wurde ein integrativer Netzwerkmodellierungsansatz gewählt, um die Rolle des Endothels im Kontext der Arteriosklerose zu untersuchen. Hierbei wurden bioinformatische Analysen, laborexperimentelle Versuche und klinische Daten vereinigt und aus dieser Synthese neue klinisch relevante Gene identifiziert und beschrieben.
Das Endothel trägt maßgeblich zur Homöostase des vaskulären Systems bei und eine Dysfunktion des Endothels fördert die Entstehung der Arteriosklerose. Im Zuge der Atherogenese entstehen vermehrt reaktive Sauerstoffspezies, die Lipide in der Membran von Plasma-Lipoprotein-Partikeln und in der zellulären Plasmamembran oxidieren. Eine Gruppe solcher oxidierter Membranlipide ist oxPAPC, das in erhöhter Konzentration in arteriosklerotischen Plaques und lokal an Orten chronischer Entzündung im vaskulären System vorkommt. Weitherhin findet sich diese Gruppe von oxidierten Phospholipiden in oxidierten LDL-Partikeln, in denen oxPAPC die Bindung an Makrophagen vermittelt und hierdurch maßgeblich zur Bildung der Schaumzellen und damit zum arteriosklerotischen Prozess beiträgt. Die durch oxPAPC verursachte Veränderung der Endothelzelle ist bisher wenig erforscht. Es ist jedoch bekannt, dass oxPAPC die Transkriptionslandschaft in Endothelzellen tiefgreifend verändert. Um der Komplexität der Endothelzellveränderung gerecht zu werden, wurde ein bayesscher Ansatz angewendet.
In einem ersten Schritt wurden Expressionsprofile von humanen Aortenendothelzellen (HAEC) aus 147 Herztransplantatspendern verwendet. Diese Expressionprofile enthalten Transkriptionsinformationen der 147 HAEC, die mit oxPAPC oder Kontrollmedium behandelt worden waren. Es wurden signifikant koexprimierte Gene identifiziert und hiervon Gen-Paare berechnet, die einen differentiellen Vernetzungsgrad zwischen Kontroll- and oxPAPC-Status aufweisen. Dieses Netzwerkmodell gibt darüber Aufschluss, welche Gene miteinander in Verbindung stehen. 26759 Gene-Paare, die differentiell verbunden und signifkant koexprimiert waren, wurden hierarchisch gruppiert. Es wurden neun Gen-Gruppen mit einer erhöhten und elf Gen-Gruppen mit einer verminderten Konnektivität nach oxPAPC identifiziert. Gruppe 6 der erhöhten Konnektvitäts-Gruppen wies hierbei die höchste kohärente Konnektivität von allen Gruppen auf. Eine Analyse signifikant überrepräsentierter kanonischer Gensätze ergab, dass diese Gruppe insbesondere Serin-Glycin-Aminosäuremetabolismus, tRNA- und mTOR-Aktivierung wiederspiegelte. Der hier gewählte Netzwerkmodellierungsansatz zeigte auf, dass der Aminosäuremetabolismus durch oxidizerte Phospholipide massiven Veränderungen unterworfen ist.
Um den Mechanismus der Veränderung des Aminosäuremetabolismus näher zu untersuchen, wurden bayessche Netzwerkmodelle verwendet. Dieses Netzwerkmodell enthält im Gegensatz zum differentiellen Koexpresssionsmodell gerichtete Informationen innerhalb des Netzwerkgraphes. Die Gen-Gen Verbindungen sind kausal, wodurch sich eine Hierarchie bildet und Schlüsselfaktoren innerhalb des Netzwerks bestimmt werden können. Durch die Integrierung von Expressionsprofilen und Genomprofilen derselben HAEC-Kohorte und der Inferenz von kausalen Gen-Gen-Verbindungen ergaben sich zwei bayessche Netze: Kontroll- und oxPAPC-Netzwerk. Permutationsuntersuchungen und systematische Beurteilung im Vergleich zu Gen-Gen-Verbindungen in Online-Datenbanken zeigten eine erhöhte Prognosefähigkeit der beiden HAEC bayesschen Netze. Es wurden die Schlüsselfaktoren und deren Teilnetzwerke berechnet und auf biologische Wege hin untersucht. Hierbei wurde das mitochondriale Protein MTHFD2 als ein Schlüsselfaktor für ein Teilnetzwerk des oxPAPC bayesschen Netzes identifiziert. Dieses Teilnetz zeigte eine ähnliche Gensatzanreicherung wie GOC-AA und überlappte mit diesem signifikant.
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In April and May 2012 data on Au+Au collisions at beam energies of Ekin = 1.23A GeV were recorded with the High Acceptance Di-Electron Spectrometer, which is located at the GSI Helmholtz Center for Heavy Ion Research in Darmstadt, Germany. At this beam energy all hadrons containing strangeness are produced below their elementary production threshold. The required energy is not available in binary NN collisions but must be provided by the system e.g. through multi-particle interactions or medium effects like a modified in-medium potential (e.g. KN/ΛN potential). Thus, a high sensitivity to these medium effects is expected in the investigated system.
The baryon-dominated systems created in relativistic heavy-ion collisions (HIC) at SIS18 energies reach densities of about 2-3 times ground state density p0 and may be similar to the properties of matter expected in the inner core of neutron stars. It is in particular the behavior of hadrons containing strangeness, i.e. kaons and hyperons, and their potentials in the dense medium which may have severe implications on astrophysical objects and processes. As ab-initio calculations of quantum chromodynamics (QCD) cannot be performed rigorously on the lattice at finite baryo-chemical potentials due to the fermion sign problem, effective descriptions have to be used in order to model properties of dense systems and the involved particles. The only way to access the in-medium potential of strange hadrons above nuclear ground state density p0 is by comparing data from relativistic HIC to such effective microscopic models. Up to now, not much data on neutral kaons and Λ hyperons are available from heavy collision systems close to their NN production threshold. These two electromagnetically uncharged strange hadrons are in particular well suited to study their potential in a dense nucleon-dominated environment as their kinematic spectra are not affected by Coulomb interactions.
The objectives of this thesis were to understand how distinct classes of cell types interact to shape oscillatory activity in cortical circuits of the turtle. We chose the turtle cortex as a model system for cortical computations for two reasons. One is that the phylogenetic position of turtles makes their cortex functionally and anatomically particularly interesting. The second is that reptilian brains present several unique experimental advantages. Turtles have a three-layered cortex that forms the dorsalmost part of their pallium and receives direct input from visual thalamus. Thus turtle cortex, while sharing several features with mammalian cortices, constitutes a simpler system for studying cortical computations and dynamics. Freshwater turtles are semiaquatic species, that dive for hours and hibernate for months without breathing. Their brains are adapted to these behaviors so that they can operate under severe anoxia. This property allows for ex vivo wholebrain and whole-cortex (”cortical slab”) preparations in vitro, enabling the use of many sophisticated techniques for monitoring activity in parallel.
I thus set out to utilize the advantages of our model system, by using optogenetic methods to reliably evoke oscillations in an ex vivo whole-cortex preparation while observing activity in parallel with planar multi-electrode arrays (MEA), linear silicon depth-electrodes and patch-clamp recording techniques. This required several technical aspects to be solved. Prior work in turtle cortex (Prechtl, 1994; Prechtl et al., 1997; Senseman and Robbins, 2002) indicated that visual stimuli evoke complex activity patterns (e. g. wave patterns) in dorsal cortex. The goal was to examine these dynamics in detail and to provide mechanistic explanations for them whenever possible. The recent advent of optogenetics, the development of microelectrode arrays, and the possibility to combine these techniques with classical electrophysiological approaches on a resistant, accessible and stable preparation led me to explore a number of technical avenues.
First I had to establish gene delivery methods in reptiles. I settled on recombinant viruses, and show results from several serotypes of adeno-associated virus (AAV), i lentivirus and rabies virus. I report successful gene expression of genes of interest with several subtypes of AAV, including the commonly used AAV2/1 and AAV2/5 serotypes. Second I had to find promoters enabling global and cell-type specific gene expression in reptiles. Ubiquitous high-yield promoters such as CAG/CB7 or CMV drive high levels of expression in turtles; cell-type specific promoters such as hSyn (expression limited to neurons) and CaMKIIa (expression limited exclusively o mostly to excitatory neurons) appear similarly biased in turtles. Other cell-type specific promoters reported in the literature (fNPY, fPV, fSST) failed to express in turtles.
A second major aspect of my work focused on electrophysiological recordings using microelectrode arrays and the interpretation of extracellular signals recorded from cortex in ex vivo preparations. We observed that spike signals produced by pyramidal and inhibitory neurons were very often followed by a slower potential. We identified these slower potentials as reflections of synaptic currents, and thus of the axonal projections of the neurons, at least within the deep layers of cortex. This also resulted in a means to classify neurons as excitatory or inhibitory with much higher reliability than classical methods (e. g. spike width). The final aspect of my work concerns the use of optogenetics to dissect the mechanisms of cortical oscillations and wave propagation. I show that oscillations can be induced by light in turtle cortex after transfection with AAV2/1 carrying the gene for channelrhodopsin 2 (ChR2). By using the CaMKIIa promoter, ChR2 induced currents are limited to LII/III excitatory cells; we can therefore control excitatory drive to cortical networks. If this drive is strong enough, layer III inhibitory interneurons are recruited and fire in a concerted fashion, silencing the excitatory population. The visually evoked 20 Hz oscillations observed in chronically recorded animals (Schneider, 2015) or in anaesthetized animals (Fournier et al., in press) thus appear to result from a feedback loop between E and I cells within layers II & III. Details of these interactions are being investigated but - layer I interneurons, by contrast, do not seem to be involved. By pulsing light I could control the frequency of the oscillations within a range of several Hz around the natural oscillation frequency. Above this range, cortex could only follow the stimulus at a fraction (1/2, 1/3,...) of the light pulse frequency. Using a digital micromirror device, I limited activation of the cortical networks spatially, enabling the study of wave propagation in this system.
Reptilian cortex offers a relatively simple model system for a reductionist and comparative strategy on understanding cortical computations and dynamics. Turtle dorsal cortex could thus give fundamental insights to the primordial organization tional, computational and functional principles of cortical networks. These insights are relevant to our understanding of mammalian brains and may prove valuable to decipher fundamental questions of modern neuroscience.
As an integral part of ALICE, the dedicated heavy ion experiment at CERN’s Large Hadron Collider, the Transition Radiation Detector (TRD) contributes to the experiment’s tracking, triggering and particle identification. Central element in the TRD’s processing chain is its trigger and readout processor, the Global Tracking Unit (GTU). The GTU implements fast triggers on various signatures, which rely on the reconstruction of up to 20 000 particle track segments to global tracks, and performs the buffering and processing of event raw data as part of a complex detector readout tree.
The high data rates the system has to handle and its dual use as trigger and readout processor with shared resources and interwoven processing paths require the GTU to be a unique, high-performance parallel processing system. To achieve high data taking efficiency, all elements of the GTU are optimized for high running stability and low dead time.
The solutions presented in this thesis for the handling of readout data in the GTU, from the initial reception to the final assembly and transmission to the High-Level Trigger computer farm, address all these aspects. The presented concepts employ multi-event buffering, in-stream data processing, extensive embedded diagnostics, and advanced features of modern FPGAs to build a robust high-performance system that can conduct the high- bandwidth readout of the TRD with maximum stability and minimized dead time. The work summarized here not only includes the complete process from the conceptual layout of the multi-event data handling and segment control, but also its implementation, simulation, verification, operation and commissioning. It also covers the system upgrade for the second data taking period and presents an analysis of the actual system performance.
The presented design of the GTU’s input stage, which is comprised of 90 FPGA-based nodes, is built to support multi-event buffering for the data received from the 18 TRD supermodules on 1080 optical links at the full sender aggregate net bandwidth of 2.16 Tbit/s. With careful design of the control logic and the overall data path, the readout on the 18 concentrator nodes of the supermodule stage can utilize an effective aggregate output bandwidth of initially 3.33 GiB/s, and, after the successful readout bandwidth upgrade, 6.50 GiB/s via 18 optical links. The high possible readout link utilization of more than 99 % and the intermediate buffering of events on the GTU helps to keep the dead time associated with the local event building and readout typically below 10%. The GTU has been used for production data taking since start-up of the experiment and ever since performs the event buffering, local event building and readout for the TRD in a correct, efficient and highly dependable fashion.
Background
Cochlear Implants (CIs) provide near normal speech intelligibility in quiet environments to individuals suffering from sensorineural hearing loss. Perception of speech in situations with competing background noise and especially music appraisal however are still insufficient. Hence, improving speech perception in ambient noise and music intelligibility is a core challenge in CI research. Quantitatively assessing music intelligibility is a demanding task due to its inherently subjective nature. However, previous approaches have related electrophysiological measurements to speech intelligibility, a corresponding relation to music intelligibility, can be assumed. Recent studies have investigated the relation between results obtained from hearing performance tests and Spread of Excitations (SoEs) measurements. SoE functions are acquired by measuring Electrically Evoked Compound Action Potentials (ECAPs) which represent the electrical response generated in the neural structures of the auditory nerve. The parameters designed to describe SoE functions are used to estimate the dispersal of the electric field in the cochlea. The quality of spatial separation of the electrical field generated by adjacent electrodes are assumed to correlate with hearing performance measures.
Aim of study
This study investigated the relation of parameters derived by ECAP measurements and perceptive skills which aim to access the level of speech and music intelligibility in CI users. In addition, the ratings assessed in a questionnaire on self-rated music intelligibility were correlated to a test battery consisting of measures for speech reception threshold (SRT) in noise (Oldenburger Satztest (OLSA)) and music intelligibility (Adaptive Melody-Pattern-Discrimination Test (AMPDT)). We hypothesised that results from this test battery correlated to subjective ratings and measures describing SoE functions.
Methods
The patient collective covered 17 well-experienced bilateral CI listeners (8 females, 9 males) between the age of 14 and 77 years with a minimum CI experience of two years. Music enjoyment and self-rated musicality was evaluated by means of a questionnaire. The AMPDT included two psychoacoustic tests: timbre difference discrimination threshold (TDDT) and background contour discrimination threshold (BCDT). The accentuation of harmonics in a foreground melody created a background melody. Accentuation was realised by sound level increment, frequency detuning and onset asynchrony. Subjects had to detect target intervals comprising both foreground and background melody by discriminating timbre differences in a Three-Interval Three-Alternative Forced-Choice (3I3AFC) procedure. In a One-Interval Two-Alternative Forced-Choice (1I2AFC) procedure, subjects had to classify the background melody’s contour. SoE was measured via a spatial forward-masking paradigm. A basal, medial and apical recording electrode was measured. Probe electrodes were one electrode position apical to the recording. The width of normalised SoE functions was calculated at their 25 % and 50 % level (excitation distance (DIST)). Furthermore, exponential functions were calculated for SoE profiles with more than three data points for each side. The OLSA assessed SRT in noise. The noisy environment was presented through an array of four loudspeakers (MSNF). The Fastl noise-condition allows to make use of gap listening representing the temporal characteristics of speech as a fluctuating noise. The OLnoise-condition is a continuous noise resulting in a maximum portion of masking.
Results
We found that background melody contour classiffication (BCDT) is more challenging to CI users than the detection of small perceptual timbre differences (TDDT). Background melody contour classification was possible with harmonic accentuation by sound level increment whereas accentuation by onset asynchrony was more demanding. CI users failed in background melody contour classification obtained by frequency detuning. SRTs assessed in the OLSA were significantly lower in the OLnoise than in the Fastl noise masking condition. A number of N = 90 SoE functions were acquired from ECAP measurements, in which N = 48 showed a clearly present ECAP response. The DIST at the 25 % and 50 % level was narrower for the basal than for the apical and medial electrode. SoE functions showed asymmetric profiles with larger amplitudes towards the basal end of the cochlea. Correlation analysis between the AMPDT, OLSA and DISTs showed no significant correlation. Correlation analysis between the AMPDT, OLSA and the questionnaire’s results could not prove that musical activities (music listening, singing or playing instruments) improve music intelligibility. However, CI supply has restored the importance of music, self-rated musicality and musical enjoyment in this study’s subjects.
Conclusions
The present study’s results imply that CI listeners are only able to detect distinct timbre alterations throughout the course of a musical piece whereas they cannot discriminate background melodies hidden in a pattern of complex harmonic sounds. Furthermore, SoE measurements do not seem to be an adequate tool to predict neither speech nor music intelligibility in CI listeners, contrary to our initial hypothesis. This finding is consistent with a number of studies who did not find a correlation between music or speech intelligibility and channel interactions assessed by SoE measurements. It can be concluded that albeit CI supply restores musical enjoyment in patients with sensorineural hearing loss, music perception is still poor and does not significantly improve by regular musical activities such as listening to music, singing or playing instruments.
Die Entwicklung von neuartigen, funktionellen Materialien ist eine komplexe Aufgabe, da die Gesamteffizienz der zu entwickelnden Materialien von einer Vielzahl von Faktoren abhängt. Während die auf einer molekularen Ebene durchgeführte Funktionalisierung via chemischer Reaktionsführung genauso wichtig ist wie die makromolekulare Anordnung, kann die Frage nach einer geeigneten Verbesserung von gegenwärtigen Materialien nicht nur auf einer dieser beiden Ebenen beantwortet werden. Die in dieser Arbeit präsentierten Ergebnisse basieren auf der mirkoskopischen aber auch markoskopischen Betrachtung von neuartigen, funktionellen Nanomaterialien und den daraus gewonnenen Erkenntnissen. Das übergeordnete Ziel ist dabei das Verständnis und die Charakterisierung von Ladungsseparationsprozessen und die daraus resultierende Erzeugung von elektrischen Strömen in organischen photovoltaischen Materialien.
Die relevanten Ladungsseparationsprozesse werden oft im Kontext der Dissoziation von Exzitonen, gebundenen Elektron-Loch Paaren, beschrieben, welche innerhalb der Donordomäne eines beliebigen Donor-Akzeptor-Materials erzeugt werden. Dabei ist der Prozess der Exzitonengenerierung abhängig von der Nanomorphologie des entsprechenden Materials, typischerweise so genannten Bulk-Heterojunctions. Dahingehend ist es notwendig, die Effekte von intermolekularen Wechselwirkungen sowohl mittels quantenmechanischer als auch dynamischer Methoden zu betrachten. Um alle relevanten Zeitskalen und Prozesse zu betrachten ist es weiterhin notwendig, auf sowohl eine deterministische Darstellung im Rahmen von quantendynamischen Methoden als auch statistischen Methoden zurückzugreifen.
Um die oft ultraschnellen und kohärenten Exzitonendissoziationsprozesse zu untersuchen wurde eine Kombination aus high-level ab initio Methoden und zeitabhängiger Dichtefunktionaltheorie (TDDFT) angewandt, um geeignete Modellhamiltonians zu parametrisieren, welche schließlich mittels der Multi-Configurational Time-Dependent Hartree (MCTDH) und der Multilayer (ML-MCTDH) variante propagiert wurden. Die MCTDH Methode hat sich als geeignete Methode erwiesen um eine voll quantendynamische Beschreibung von bis zu 100 Freiheitsgraden durchzuführen; die ML-MCTDH Methode erlaubt gar bis zu 1000 Freiheitsgrade quantendynamisch zu behandeln. Die Parametrisierung der Modellhamiltonians, auf welchen die quantendynamische Behandlung basiert, wurde dabei für kleine, jedoch repräsentative Fragmente durchgeführt. Die geeignete Wahl dieser Fragmente sollte sicherstellen, dass zum einen alle relevanten intermolekularen als auch intramolekularen Wechselwirkungen enthalten sind, jedoch gleichzeitig eine möglichst akkurate Beschreibung mittels high-level elektronenstrukturtheoretischer Methoden in gegebener Zeit möglich ist.
Mit Hilfe dieser Methodenkombination wurden zwei Arten von funktionellen organischen Materialien untersucht. Das erste untersuchte System ist ein neuartiges Donor-Akzeptor System, bestehend aus selbstorganisierenden Oligothiophen-Perylenediimid Dimeren, welche in der Gruppe von S. Haacke und S. Mery der Universität Straßburg synthetisiert und spektroskopisch untersucht wurden. Die quantendynamischen Simulationen an diesem System sollten die Ergebnisse der experimentellen, zeitaufgelösten pump-probe Spektroskopie validieren und die dürftige Effizienz im Hinblick auf eine effektive Ladungstrennung erklären. Dabei konnte gezeigt werden, dass nach der Exzitonendissoziation Elektron und Loch auf räumlich benachbarten Donor- und Akzeptorfragmenten lokalisiert werden, was schließlich zu einem Rekombinationsprozess führen wird. Das zweite untersuchte System ist eine Kombination von Poly(3-Hexylthiophen-2,5-diyl) (P3HT) als Elektronendonor und [6,6]-Phenyl-C61 Butansäure Methyl-Ester (PCBM) als Elektronenakzeptor, welches schon hinreichend stark in diversen theoretischen und experimentellen Studien untersucht wurde. Aufbauend auf einem Gittermodell, welches in unserer Gruppe entwickelt wurde, wurde das Modellsystem um Charge Transfer Exzitonen in der Donordomäne erweitert. Die Bedeutung von solchen Charge Transfer Exzitonen in regioregulären Oligothiophenaggregaten ist ein aktuelles Thema in der Wissenschaft, sowohl in experimentellen aber auch theoretischen Abhandlungen. Neben der theoretischen Beschreibung zur Entstehung solcher Charge Transfer Exzitonen liegt ein besonderes Augenmerk auf dem Einfluss dieser predissoziierten Elektron-Loch Paaren auf die Ladungsseparationsdynamik zwischen Donor und Akzeptor sowie die Generierung von freinen Ladungsträgern. Dieser Aspekt der Ladungsseparation in einem P3HT-PCBM System wurde in dieser Art und Weise in dieser Arbeit zum ersten mal untersucht.
Neben dem zuvor erwähnten Donor-Akzeptor System erster Generation der Universität Straßburg wurde eine zweite Variante dieses Systems entwickelt, welches sich bei bisherigen experimentellen Untersuchungen als wesentlich effizienter erwies. Der interessante Prozess der Ladungsseparation ist dabei allerdings auf einer Zeitskala von mehreren hundert Pikosekunden angesiedelt, sodass kinetische Monte Carlo Methoden verwendet werden mussten um diese Prozesse zu modellieren. Dazu wurde ein Fortran90 Code entwickelt, welcher den First Reaction Method Algorithmus verwendet und explizite Delokalisationsprozesse behandelt, welche in dieser Form in kommerziellen Programmpaketen nicht enthalten ist. In vorangehenden Arbeiten konnte gezeigt werden, dass die Delokalisation von Exzitonen zu einer effektiven Herabsetzung der energetischen Barriere der Ladungsseparation führt und somit die Effizienz zur Stromumwandlung gesteigert werden konnte. Erste Simulationen mit diesem Code an idealisierten und zufällig generierten Donor-Akzeptor Morphologien lieferten realistische Werte für makroskopische Observablen wie Ladungsträgermobilitäten. Weiterhin wurden Simulationen einer coarse-grained Struktur zur zweiten Generation des Donor-Akzeptor Systems durchgeführt, ebenfalls mit Hinblick zur Untersuchung der Ladungsträgermobilität.
This thesis is concerned with quantum dynamical propagation methods suitable for high-dimensional systems, and their application to excitation energy transfer (EET), electron transfer (ET), and intra-molecular vibrational redistribution (IVR) in molecular aggregates. The theoretical description of these processes, which are often ultrafast – with time scales in the range of femtoseconds to picoseconds – is challenging, both with regard to quantum dynamical simulations and electronic structure calculations.
The present thesis comprises two parts. The first part concerns the implementation of a novel quantum dynamical method based on Gaussian Wavepackets (GWPs): the 2-Layer Gaussian-MCTDH (2L-GMCTDH) method. This method, which has recently been proposed in [S. Römer, M. Ruckenbauer, I. Burghardt, The Journal of Chemical Physics, 2013, 138, 064106] was implemented in a Fortran90 code and applied to various high-dimensional test systems. The second part of the thesis addresses the combined electronic structure and dynamical study of a novel type of donor-acceptor systems that have been investigated in a joint project with experimental collaboration partners at Strasbourg University. In both parts, numerical applications focus on high-dimensional model Hamiltonians for EET and ET processes.
Regarding the first part, the interest of using GWP-based methods is two-fold: First, GWPs represent spatially localized basis sets that are useful for on-the-fly dynamics in conjunction with electronic structure calculations. Second, they are naturally suited for the explicit representation of quantum mechanical system-bath type problems where a large number of vibrational bath modes are weakly perturbed from equilibrium. In this context, various methods exist that are based upon classically evolving GWP bases. A major improvement results from variational methods which involve optimized, non-classical GWP trajectories. In particular, the variational Gaussian-based Multi-Configuration Time-Dependent Hartree (GMCTDH) and its variational Multi-Configurational Gaussians (vMCG) variant were originally derived as semiclassical variants of the Multi-Configuration Time-Dependent Hartree (MCTDH) method. However, the G-MCTDH and vMCG methods mostly use Frozen Gaussian (FG) basis sets that are far less flexible than the single-particle (SPF) representation of standard MCTDH. As a consequence, a significantly larger number of GWPs are generally required to reach convergence. To remedy the lack of flexibility of the FG basis sets, the abovementioned two-layer (2L-G-MCTDH) approach has been introduced: Here, the first layer is composed of flexible SPFs, while the second layer is composed of low-dimensional FGs. The numerical scaling properties are significantly improved as compared with the conventional G-MCTDH and vMCG schemes. The first implementation of the method in an in-house Fortran90 code is presented, along with applications to (i) a model of site-to-site vibrational energy flow in the presence of intra-site vibrational energy redistribution (IVR) and (ii) a multidimensional donor-acceptor electron transfer system described within a linear vibronic coupling model. The second system relates to a model for ET at an oligothiophene-fullerene interface relevant to organic photovoltaics. Besides the description of the implementation, a detailed assessment of the convergence properties and comparison with multi-layer MCTDH (ML-MCTDH) benchmark calculations is presented. Finally, a perspective is given on the future combination with the existing ML-MCTDH scheme; indeed, such a combination is straightforward since the first layer of the 2L-G-MCTDH approach can be chosen to be orthogonal.
Regarding the second part of the thesis, two generations of a novel donor-acceptor (DA) system for organic photovoltaics applications, involving self-assembled block co-oligomers DA dyads and triads with perylene-diimide (PDI) accepter units, are addressed within a collaborative project with S. Haacke and S. Mery (University of Strasbourg). Based upon detailed excited-state electronic structure investigations along with quantum dynamical and kinetic studies, the relevant ET formation and recombination steps are characterized quantitatively, in view of optimizing the chemical design and reducing recombination losses.
In a first-generation variant of the abovementioned DA systems, which involves liquid-crystalline triads, we were able to show that a highly efficient inter-chain ET process prevails over intra-molecular ET, leading to fast recombination. Due to the latter, this system turns out to be inefficient for photovoltaic applications. To fully understand the elementary steps, high-dimensional quantum dynamics simulations were carried out using the ML-MCTDH method, in collaboration with Matthias Polkehn from our group. In the second-generation variant, which is in the focus of the present thesis, both the nanomorphology and the chemical design were modified. The present work, focuses upon the aspect of chemical design, by characterizing a series of modified DA’s, with donor units of varying length while the PDI accepter units remain unchanged. The intra-molecular ET is observed in these systems, but the processes are comparatively slow, of the order of tens to hundreds of picoseconds. Hence, a kinetic analysis using the Marcus-Levich-Jortner rate theory is employed. Among the main results of the study is that addition of an electron donating amine unit strongly increases the lifetime of the charge-separated state, and therefore reduced recombination losses.
Overall, the present thesis shows how a combination of high-dimensional quantum dynamics, electronic structure calculations, and vibronic coupling model Hamiltonians can be employed to obtain an accurate picture of EET, ET, and IVR in high-dimensional molecular assemblies. Furthermore, the 2L-GMCTDH method paves the way for accurate and efficient on-the-fly calculations; a suitable set-up for such calculations is currently in progress.
Floodplains and other wetlands depend on seasonal river flooding and play an important role in the terrestrial water cycle. They influence evapotranspiration, water storage and river discharge dynamics, and they are the habitat of a large number of animals and plants. Thus, to assess the Earth’s system and its changes, a robust understanding of the dynamics of floodplain wetlands including inundated areas, water storages, and water flows is required.
This PhD thesis aims at improving the modeling of large floodplains and wetlands within the global-scale hydrological model WaterGAP, in order to better estimate water flows and water storage variations in different storage compartments. Within the scope of this thesis, I have developed a new approach to simulate dynamic floodplain inundation on a global-scale. This approach introduces an algorithm into WaterGAP, which has a spatial resolution of 0.5 degree (longitude and latitude) globally. The new approach uses subgrid-scale topography, based on high-resolution digital elevation models, to describe the floodplain elevation profile within each grid cell by applying a hypsographic curve. The approach comprises the modeling of a two-way river-floodplain interaction, the separate downstream water transport within the river and the floodplain – both with temporally and spatially different variable flow velocities – and the floodplain-groundwater interactions. The WaterGAP version that includes the floodplain algorithm, WaterGAP 2.2b_fpl, estimates floodplain and river water storage, inundated area and water table elevation, and also simulates backwater effects.
WaterGAP 2.2b_fpl was applied to model river discharge, river flow velocity, water storages, water heights and surface water extent on a global-scale. Model results were comprehensively validated against ground observations and remote sensing data. Overall, the modeled and observed data are in agreement. In comparison to the former version WaterGAP 2.2b, the model performance has improved significantly. The improvements are most remarkable in the Amazon River basin. However, the seasonal variation of surface water extent and total water storage anomalies are still too low in many regions on the globe when compared to observations. A detailed analysis of the simulated results suggests that in the Amazon River basin the introduction of backwater effects is important for realistically simulating water storages and surface water extent. Future efforts should focus on the simulation of water levels in order to better model the flow routing according to water slope. To further improve the model performance in specific regions, I recommend that the globally constant model parameters that affect inundation initiation, river-floodplain interaction, DEM correction for vegetation, and backwater amount at basin or subbasin-scale be adjusted.
The estimation of water balance components as well as water-related indicators on the land surface by means of global hydrological models have evolved in recent decades. Results of such models are frequently used in global- and continental-scale assessments of the current and future state of the terrestrial water cycle and provide a valuable data basis, e.g., for the Intergovernmental Panel on Climate Change. The Water – Global Assessment and Prognosis (WaterGAP) model is one of the state-of-the-art models in that field and has been in development and application for around 20 years. The evaluation, modification and application of WaterGAP is the subject of this thesis. In particular, the sensitivity of climate input data on radiation calculation and simulated water fluxes and storages is evaluated in the first part. Effects of model modification such as updated spatial input datasets, improved process representation or an alternative calibration scheme are the focus of the second part. Finally, three applications of WaterGAP give insight into the capabilities of that model, namely an estimate of global and continental water balance components, an assessment of groundwater depletion and the impact of climate change on river flow regimes. Model experiments, which are described in six journal papers as well as the appendices, were used as the basis for answering the total of 13 research questions. One of the major foci was to quantify the sensitivity of simulated water fluxes and storages to alternative climate input data. It was found that the handling of precipitation undercatch leads to the greatest difference in water balance components, especially in those areas where WaterGAP is not calibrated due to a lack of river discharge observations. The modifications of WaterGAP in the last few decades has led in general to an improved simulation of monthly river discharge, but process representation in semi-arid and arid regions still requires improvements. With the most current model version, WaterGAP 2.2b, and for the time period 1971–2000, river discharge to the oceans and inland sinks is estimated to be 40 000 km3 yr-1, whereas actual evapotranspiration is simulated as 70 500 km3 yr-1. Future research needs for WaterGAP in particular but also for the global hydrological model community in general are defined, promoting a community-driven effort for a robust assessment of the continental water cycle.
Colorectal cancer (CRC) has the third highest incidence and the fourth highest mortality rate worldwide and represents a substantial health care burden and affects the life of millions of people. CRC is a genetic disease caused by the stepwise accumulation of genetic alterations. The initiating event in colorectal carcinogenesis is the aberrant activation of the WNT pathway, but other pathways are also commonly deregulated, including the PI3K/AKT pathway. A number of previous studies using genetically engineered mouse models aimed at dissecting the exact role of PI3K/AKT pathway in CRC, but have yielded in rather conflicting results. Despite the inconsistent results, these studies already put forward the idea that PI3K/AKT signaling in combination with other genetic events might substantially contribute to tumor progression. Since the PI3K/AKT pathway is frequently activated in CRC, it represents an ideal candidate for therapeutic intervention. Although extensive efforts had led to the development of numerous inhibitors targeting the PI3K/AKT pathway, the diversity of genetic alterations can challenge the identification of the most effective therapeutic targets. Therefore, the discovery of shared tumor-promoting mechanisms downstream of these genetic alterations might unravel new biomarkers and druggable targets. The aim of this study was to elucidate the precise role of PI3K/AKT pathway during the course of colorectal carcinogenesis and to decipher novel protumorigenic molecular mechanisms downstream of PI3K/AKT activation that can be used for therapeutic intervention.
To obtain a better insight into the role of the PI3K/AKT pathway during colorectal carcinogenesis, mice expressing an oncogenic variant of AKT1 (AktE17K) specifically in the intestinal epithelial cells (IEC) were used. At the age of 6 months untreated AktE17K mice showed clearly perturbed intestinal homeostasis, but no tumor formation. To induce colonic tumorigenesis, AktE17K mice were subjected to treatment with the colonic carcinogen azoxymethane (AOM). In response to AOM, AktE17K mice developed invasive but non-metastatic tumors, which showed strong nuclear accumulation of TP53. To investigate the role of PI3K/AKT signaling specifically in CRC progression, AktE17K mice were crossed to TP53-deficient mice (Tp53ΔIEC). Unlike AktE17K mice, untreated Tp53ΔIEC; AktE17K, developed highly invasive small
intestinal tumors by the age of 6 months. To investigate the role of AKT hyperactivation in colonic tumor progression, Tp53ΔIEC; AktE17K mice were subjected to AOM treatment. AKT hyperactivation significantly enhanced tumor progression and induced metastatic dissemination.
To get a better insight how AKT signaling can promote tumor progression, whole tumor tissues from AOM-treated Tp53ΔIEC and Tp53ΔIEC; AktE17K mice were subjected to next generation mRNA sequencing and phospho-proteomic analysis by mass spectrometry. Both analyses indicated that AKT hyperactivation expands the inflammatory tumor microenvironment and upregulates pathways associated with invasion and metastasis. Importantly, Gene Set Enrichment Analysis revealed that AOM-induced colon tumors of Tp53ΔIEC; AktE17K animals, are highly similar in their gene expression profile to the CMS4 subtype of human CRC, which is associated with worse overall- and relapse-free survival. Gene expression analysis also suggested elevated NOTCH signaling in the Tp53ΔIEC; AktE17K tumors. Interestingly, while the expression of Notch3 mRNA was increased in the tumors of Tp53ΔIEC; AktE17K mice, the expression of the other NOTCH receptors was unaffected by AKT hyperactivation. In vitro experiments using TP53-deficient mouse tumor organoids with hyperactive AKT signaling confirmed the direct, tumor cell-intrinsic link between AKT activation and increased Notch3 expression. Moreover, inhibition of EZH2 mimicked the effect of AKT hyperactivation on Notch3 expression, suggesting that AKT regulates Notch3 via an epigenetic mechanism.
Knock-down of Notch3 in TP53-deficient mouse tumor organoids with hyperactive AKT signaling resulted in differential regulation of several pathways with potential role in invasion and metastasis and in cell death and survival. Subsequent in vivo experiments confirmed the role of NOTCH3 signaling in CRC progression. Treatment of AOM-induced Tp53ΔIEC; AktE17K mice with a NOTCH3 antagonistic antibody or the γ-secretase inhibitor DAPT significantly reduced invasion and metastasis. Importantly, NOTCH3 expression was also found to be associated with human CRC progression, suggesting that NOTCH3 represent a valid target for the treatment of CRC. This work, using genetically engineered mouse models and advanced in vitro techniques, has demonstrated a strong tumor promoting role for PI3K/AKT signaling in CRC progression and has identified NOTCH3 signaling as a potential therapeutic target downstream of the PI3K/AKT pathway.
Colorectal cancer (CRC) has the third highest incidence and the fourth highest mortality rate worldwide and represents a substantial health care burden and affects the life of millions of people. CRC is a genetic disease caused by the stepwise accumulation of genetic alterations. The initiating event in colorectal carcinogenesis is the aberrant activation of the WNT pathway, but other pathways are also commonly deregulated, including the PI3K/AKT pathway. A number of previous studies using genetically engineered mouse models aimed at dissecting the exact role of PI3K/AKT pathway in CRC, but have yielded in rather conflicting results. Despite the inconsistent results, these studies already put forward the idea that PI3K/AKT signaling in combination with other genetic events might substantially contribute to tumor progression.
Since the PI3K/AKT pathway is frequently activated in CRC, it represents an ideal candidate for therapeutic intervention. Although extensive efforts had led to the development of numerous inhibitors targeting the PI3K/AKT pathway, the diversity of genetic alterations can challenge the identification of the most effective therapeutic targets. Therefore, the discovery of shared tumor-promoting mechanisms downstream of these genetic alterations might unravel new biomarkers and druggable targets. The aim of this study was to elucidate the precise role of PI3K/AKT pathway during the course of colorectal carcinogenesis and to decipher novel pro-tumorigenic molecular mechanisms downstream of PI3K/AKT activation that can be used for therapeutic intervention.
To obtain a better insight into the role of the PI3K/AKT pathway during colorectal carcinogenesis, mice expressing an oncogenic variant of AKT1 (AktE17K) specifically in the intestinal epithelial cells (IEC) were used. At the age of 6 months untreated AktE17K mice showed clearly perturbed intestinal homeostasis, but no tumor formation. To induce colonic tumorigenesis, AktE17K mice were subjected to treatment with the colonic carcinogen azoxymethane (AOM). In response to AOM, AktE17K mice developed invasive but nonmetastatic tumors, which showed strong nuclear accumulation of TP53. To investigate the role of PI3K/AKT signaling specifically in CRC progression, AktE17K mice were crossed to TP53- deficient mice (Tp53ΔIEC). Unlike AktE17K mice, untreated Tp53ΔIECAktE17K, developed highly invasive small intestinal tumors by the age of 6 months. To investigate the role of AKT hyperactivation in colonic tumor progression, Tp53ΔIECAktE17K mice were subjected to AOM treatment. AKT hyperactivation significantly enhanced tumor progression and induced metastatic dissemination.
To get a better insight how AKT signaling can promote tumor progression, whole tumor tissues from AOM-treated Tp53ΔIEC and Tp53ΔIECAktE17K mice were subjected to next generation mRNA sequencing and phospho-proteomic analysis by mass spectrometry. Both analyses indicated that AKT hyperactivation expands the inflammatory tumor microenvironment and upregulates pathways associated with invasion and metastasis. Importantly, Gene Set Enrichment Analysis revealed that AOM-induced colon tumors of Tp53ΔIECAktE17K animals, are highly similar in their gene expression profile to the CMS4 subtype of human CRC, which is associated with worse overall- and relapse-free survival7 . Gene expression analysis also suggested elevated NOTCH signaling in the Tp53ΔIECAktE17K tumors. Interestingly, while the expression of Notch3 mRNA was increased in the tumors of Tp53ΔIECAktE17K mice, the expression of the other NOTCH receptors was unaffected by AKT hyperactivation. In vitro experiments using TP53-deficient mouse tumor organoids with hyperactive AKT signaling confirmed the direct, tumor cell-intrinsic link between AKT activation and increased Notch3 expression. Moreover, inhibition of EZH2 mimicked the effect of AKT hyperactivation on Notch3 expression, suggesting that AKT regulates Notch3 via an epigenetic mechanism.
Knock-down of Notch3 in TP53-deficient mouse tumor organoids with hyperactive AKT signaling resulted in differential regulation of several pathways with potential role in invasion and metastasis and in cell death and survival. Subsequent in vivo experiments confirmed the role of NOTCH3 signaling in CRC progression. Treatment of AOM-induced Tp53ΔIECAkt E17K mice with a NOTCH3 antagonistic antibody or the γ-secretase inhibitor DAPT significantly reduced invasion and metastasis. Importantly, NOTCH3 expression was also found to be associated with human CRC progression, suggesting that NOTCH3 represent a valid target for the treatment of CRC. This work, using genetically engineered mouse models and advanced in vitro techniques, has demonstrated a strong tumor promoting role for PI3K/AKT signaling in CRC progression and has identified NOTCH3 signaling as a potential therapeutic target downstream of the PI3K/AKT pathway.
Tissue integrity is defined by the composition and connection of cells as a structural and functional unit. It is modulated by a magnitude of processes including differentiation, survival, controlled death and adhesion of cells. Besides, external factors such as physical forces are also involved. A suitable model system to study all modalities of tissue integrity is the mammary gland. Postnatally and within the reproductive phase, the mammary gland undergoes morphological and functional modifications that periodically loosen or strengthen tissue integrity. An important point in the development of the mammary gland is the regression during weaning, also termed involution. The transition from lactation to involution is important for a controlled loss of tissue integrity. In this transition, collective cell death is initiated but not yet prominent enabling the mammary gland to fully recover lactation.
In this thesis, modalities of tissue integrity were investigated using three-dimensional cell cultures (i.e. spheroids) and the mammary gland as model systems. In the context of this thesis, I established (1) an immunofluorescence staining protocol and its detailed evaluation. Furthermore, I studied (2) the role of cell survival during mammary gland development, (3) the effect of physical forces that modulate tissue integrity and (4) the contribution of proteins to cell adhesion and growth.
Since a homogeneous fluorescence stain of the specimen is necessary for quantitative analysis, an immunofluorescence staining protocol was established to stain large spheroids in toto. The evaluation contributes qualitative and quantitative criteria that judge the specificity, intensity and homogeneity of the stain. Based on this approach, it was possible to demonstrate the morphological and functional characteristics that spheroids share with the mammary gland in vivo. These characteristics included the synthesis of extracellular matrix, the development of polarized acinar structures and lactogenic differentiation.
The role of cell survival during mammary gland development was analyzed by means of the expression profile of the pro-survival protein BAG3. The expression of BAG3 differed in the progress of mammary gland development. While the expression was low during pregnancy, it rose in the lactation phase and peaked within the first days of involution, indicating that BAG3 is associated with early involution in the mammary gland. In vitro experiments related the expression of BAG3 to cell survival in mammary epithelial cells.
Physical forces naturally occur during developmental processes influence tissue integrity during the initiation of mammary gland involution. The influence of physical force applied as compression on mammary epithelial spheroids was investigated. A morphological analysis showed that following a lag, the cell nuclei volume changed upon compression. A short-term compression induced the activation of caspases. A prolonged compression reduced the activity of caspases. This suggests the induction of a process that allows cells the adaption to changing environmental conditions. BAG3 is known to be involved in mechanical stress-induced autophagy, also known as chaperone assisted selective autophagy (CASA). Compression of spheroids did not induce CASA. The experimentally applied strain was not comparable to the strain found in the alveolar cells during involution in vivo. Thus, whether or not CASA is activated during mammary gland involution remains elusive. Nevertheless, the methodical approach to apply compression on spheroids in vitro is a model to study the influence of physical forces on cell aggregates.
Apart from cell survival and physical forces, growth and adhesion of cells affect tissue integrity. A spheroid formation assay and subsequent data analysis and computational modeling enabled the investigation of these processes in a non-adhesive environment. The analysis suggested that spheroid formation follows a reaction-controlled process, in which cells do not necessarily form a connection when they collide. The loss of function of either E-cadherin or actin strongly inhibited the formation of a spheroid. The analysis further revealed that neither E-cadherin nor actin influence the chance of the cells to form a connection when they collide. Both molecules are more important in stabilizing established connections. Depolymerization of microtubules still allowed spheroids to form, but the formation was decelerated and growth of the final spheroids was inhibited. The results from computational modeling suggested that microtubules act on cell adhesion through different mechanisms, which also vary among different cell types. The inhibition of FAK phosphorylation at Y397, a downstream target of integrin signaling, and the analysis of FAK protein levels in spheroids showed that integrin-mediated signaling is not prominent in three-dimensional spheroids formed from non-invasive cells. A deletion of BAG3 gene expression increased the number of dead cells in forming spheroids suggesting that BAG3 predominantly affects cell survival.
The results of this thesis identified and characterized adhesion- and survival-associated proteins that are important for tissue integrity. This thesis suggests that a BAG3-dependent cell survival mechanism is prominent at the beginning of mammary gland involution. Future studies will have to identify the related factors and inducers of tissue integrity loss in the mammary gland. This will shed light on the physiology of the organ and could explain the disorders that destroy its integrity. In addition, this thesis contributes to a better understanding of spontaneous cell aggregation, the aggregate organization and implies a role of cell migration in these processes. Future studies that focus on three-dimensional cell migration could explain, how cell migration is promoted and to which extent it supports tissue integrity.
Bacteria are highly organized organisms which are able to adapt to and propagate under a multitude of environmental conditions. Propagation hereby requires reliable chromosome replication and segregation which has to occur cooperatively with other cellular processes such as transcription, translation or signaling. Several mechanisms were proposed for segregation of the Escherichia coli (E. coli) chromosome, for example a mitotic-like active segregation model or entropy-based passive chromosome segregation. Another segregation model suggests coupled transcription, translation and insertion of membrane proteins (termed "transertion"), which links the replicating chromosome (nucleoid) to the growing cell cylinder.
Fluorescence microscopy was widely used to provide evidence for a distinct segregation model. However, the dynamic nature of bacterial chromosomes, the small bacterial size and the optical resolution limit of ~ 200-300 nm impair unveiling the underlying mechanisms. With the emergence of super-resolution fluorescence microscopy techniques and advanced labeling methods, a new toolbox became available enabling scientists to visualize biomolecules and cellular processes in unprecedented detail. Single-molecule localization microscopy (SMLM) represents a set of super-resolution microscopy techniques which relies on the temporal separation of the fluorescence signal and detection of single fluorophores. Separation can be achieved using photoactivatable or -convertible fluorescent proteins (FPs) in photoactivated localization microscopy (PALM), photoswitchable organic dyes in direct stochastic optical reconstruction microscopy (dSTORM) or dynamically binding fluorescent probes in point accumulation for imaging in nanoscale topography (PAINT). In all these techniques, the fluorescence emission pattern of single fluorophores is spatially localized with nanometer-precision. An artificial image is finally reconstructed from the coordinates of all single fluorophores detected. This provides a spatial resolution of ~ 20 nm, which is perfectly suited to investigate cellular processes in bacteria. In this thesis, different SMLM techniques were applied to study fundamental processes in E. coli. This includes determination of protein copy numbers and distributions as well as the nanoscale organization of nucleic acids and lipids.
A novel labeling approach was applied and used for super-resolution imaging of the E. coli nucleoid. It is based on the incorporation of the modified thymidine analogue 5-ethynyl-2’- deoxyuridine (EdU) into the replicating chromosome. Azide-functionalized organic fluorophores can be covalently attached to the ethynyl group of incorporated EdU bases using a copper-catalyzed "click chemistry" reaction. Under the investigated growth condition, E. coli cells exhibited overlapping replication cycles, which is commonly referred to as multi-fork replication and enables cells to divide faster than they can replicate the entire chromosome. dSTORM imaging of such labeled nucleoids revealed chromosome features with diameters of 50 - 200 nm, representing highly condensed DNA filaments. Sorting single E. coli cells by length allowed visualizing structural changes of the nucleoid throughout the cell cycle. Replicating nucleoids segregated and expanded along the bacterial long axis, while constantly covering the entire width of the cell. Measuring cell and nucleoid length revealed a relative nucleoid expansion rate of 78 ± 6 %. At the same time, nucleoids populated 63 ± 8 % of the cell length, almost exclusively being localized to the cylindrical part of the cell. This value was hence normalized to the cylindrical fraction of the cell, yielding a value of 79 ± 10 % (nucleoid-populated fraction of the cell cylinder), which is in good agreement with the observed relative nucleoid expansion rate. These results therefore support a growth-mediated segregation model, in which the chromosome is anchored to the inner membrane and passively segregated into the prospective daughter cells upon cell growth. 3-dimensional dSTORM imaging of labeled nucleoids confirmed that compacted nucleoids helically wrap along the inner membrane. Similar results were obtained by imaging orthogonally aligned E. coli cells using a holographic optical tweezer approach.
In order to visualize particular proteins together with the nucleoid, several correlative imaging workflows were established, facilitating multi-color SMLM imaging in single E. coli cells. These workflows bypass prior limitations of SMLM, including destruction of FPs by reactive oxygen species in copper-catalyzed click reactions or incompatibility of PALM imaging with dSTORM imaging buffers. A sequential SMLM imaging routine was developed which is based on postlabeling and retrieval of previously imaged cells. Optimal imaging conditions can be maintained for each fluorophore, enabling to extract quantitative information from PALM measurements while correlating the protein distribution to the nucleoid ultrastructure within the highly resolved cell envelope. Applying this workflow to an E. coli strain carrying a chromosomal rpoC - photoactivatable mCherry (PAmCh) fusion, transcribing RNA polymerase (RNAP) was found to be localized on the surface of nucleoids, where active genes are exposed towards the cytosol. During growth in nutrient-rich medium, the majority of RNAP molecules was bound to the chromosome, thus ensuring that the RNAP pool is equally distributed to the daughter cells upon cell division. This work represented the first triple-color SMLM study performed in E. coli cells. ...
Cardiovascular disease is the leading cause of death worldwide. Aging is among the greatest risk factors for cardiovascular disease. Cardiovascular disease comprises several diseases, for example myocardial infarction, elevated blood pressure and stroke. Many processes are known to promote or worsen cardiovascular disease and in the present study, cellular senescence and inflammatory activation were of special interest, as they have a strong association to aging and can be seen as hallmarks of cellular aging.
Long noncoding RNAs (lncRNAs) are noncoding RNAs with a length of more than 200 nucleotides. In recent years, numerous regulatory functions were shown for these transcripts and lncRNAs were shown to directly interact with DNA, RNA and proteins. The long noncoding RNA H19 was among the first described noncoding RNAs and was initially shown to act as a tumor suppressor. More recently, several studies showed oncogenic roles for H19. In regards to the cardiovascular system, H19 was not analyzed before.
We show that H19 is the most profoundly downregulated lncRNA in endothelial cells of aged mice compared to young littermates. Microarray analysis of human primary endothelial cells upon pharmacological H19 depletion revealed an involvement of H19 in cell cycle regulation. Loss of H19 in human endothelial cells in vitro led to reduced proliferation and to increased senescence. H19 depletion was shown to counteract proliferation before, but none of the described mechanisms applied to endothelial cells. We show that the reduction in proliferative capacity and the pro-senescent function of H19 is most probably mediated by an upregulation of p16ink4A and p21 upon H19 depletion.
When we compared the angiogenic capacity of aortic endothelial cells from young and aged mice in an aortic ring assay, rings from aged mice showed a reduced cumulative sprout length. Interestingly, pharmacological inhibition of H19 in aortic rings of young animals, where H19 is highly expressed, was sufficient to reduce the cumulative sprout length to levels we observed from aged animals. Furthermore, overexpression of human H19 in aortic rings of aged mice, where H19 is poorly expressed, rescued the impaired angiogenic capacity of aged endothelial cells.
We generated inducible endothelial-specific H19 knockout mice (H19iEC-KO) and subjected these animals to hind limb ischemia surgery followed by perfusion analysis in the hind limbs by laser-doppler velocimetry and histological analysis. Perfusion in the operated hind limb was increased in H19iEC-KO compared to Ctrl littermates, which was in contrast to a reduction in capillary density in the operated hind limbs of H19iEC-KO animals compared to Ctrl littermates and to our previous results. Analysis of arteriogenesis revealed an increase in collateral growth upon EC-specific H19 depletion in the ischemic hind limbs, which explains the increase in perfusion despite the reduction in capillary density. Further characterization of the animals revealed an increase in leukocyte infiltration into the tissue in the ischemic hind limbs upon endothelial-specific H19 depletion, indicating a potential role of H19 in inflammatory tissue activation.
Reanalysis of the microarray data from human primary endothelial cells upon H19 depletion revealed an association of H19 with inflammatory signaling and more specifically with IL-6/JAK2/STAT3 signaling. Analysis of cell surface adhesion molecule expression revealed an upregulation of ICAM-1 and VCAM-1 on mRNA level and an increase of the abundance of the two proteins on the cell surface of human primary endothelial cells. Consequently, adhesion of isolated human monocytes to human primary endothelial cells was increased upon H19 depletion in vitro. Interestingly, TNF-α mediated inflammatory activation of primary human endothelial cells repressed H19 expression. H19 did not function via previously described mechanisms. We excluded a competitive endogenous RNA (ceRNA) function for H19 in endothelial cells and showed that miR-675, which is processed from H19, does not play a role in the endothelium. Furthermore, H19 did not regulate previously described genes or pathways.
Analysis of transcription factor activity upon H19 depletion and overexpression revealed a differential activity of STAT3. STAT3 phosphorylation at TYR705 and thus activation was increased upon H19 depletion. Inhibition of STAT3 activation using a small compound inhibitor abolished the effects of H19 depletion on mRNA expression of p21, ICAM-1 and VCAM-1 and on proliferation, indicating that the effects of H19 are at least partially mediated via STAT3. STAT3 was shown to have positive effects on the cardiovascular system before, most likely due to upregulation of VEGF in a STAT3-dependent manner. We were not able to confirm previously described mechanisms for STAT3 in the present study and propose a new mechanism of action for the H19-dependent regulation of STAT3. Taken together, these results identify the long noncoding RNA H19 as a pivotal regulator of endothelial cell function. Figure 38 summarizes the described functions of H19 in endothelial cells.
Heat stress transcription factors (Hsfs) play essential role in heat stress response and thermotolerance by controlling the transcriptional activation of heat stress response (HSR) genes including molecular chaperones. Plant Hsf families show a striking multiplicity, with more than 20 members in the many plant species. Among Hsfs, HsfA1s act as the master regulators of heat stress (HS) response and HsfA2 becomes one of the most abundant Hsfs during HS. Using transgenic plans with suppressed expression of HsfA2 we have shown that this Hsf is involved in acquired thermotolerance of S. lycopersicum cv Moneymaker as HsfA2 is required for high expression and maintenance of increased levels of Hsps during repeated cycles of HS treatment.
Interestingly, HsfA2 undergoes temperature-dependent alternative splicing (AS) which results in the generation of seven transcript variants. Three of these transcripts (HsfA2-Iα-γ), generated due to alternative splicing of a second, newly identified intron encode for the full length protein involved in acquired thermotolerance. Another 3 transcripts (HsfA2-IIIα-γ) are generated due to alternative splicing in intron 1, leading in all cases to a premature termination codon and targeting of these transcripts for degradation via the non-sense mRNA decay mechanism (NMD).
Interestingly, excision of intron 2, results into the generation of a second previously unreported protein isoform, annotated as HsfA2-II. HsfA2-II shows similar transcriptional activity to the full-length protein HsfA2-I in the presence of HsfA1a but lacks the nuclear export signal (NES) required for nucleocytoplasmic shuttling which allows efficient nuclear retention and stimulation of transcription of HS-induced genes. Furthermore, stability assays showed that HsfA2-II exhibits lower protein stability compared to HsfA2-I.
The presence of a second intron and the generation of a second protein isoform we identified in other Solanaceae species as well. Remarkably, we observed major differences in the splicing efficiency of HsfA2 intron 2 among different tomato species. Several wild tomato accessions exhibit higher splicing efficiency that favors the generation of HsfA2-II, while in these species the splice variant HsfA2-Iγ is absent. This natural variation in splicing efficiency specifically occurring at temperatures around 37.5oC is associated with the presence of 3 intronic polymorphisms. In the case of wild species these polymorphisms seemingly restrict the binding of RS2Z36, identified as a putative splicing silencer for HsfA2 intron 2.
Tomato accessions with the polymorphic “wild” HsfA2 show enhanced thermotolerance against a direct severe heat stress incident due to the stronger increase of Hsps and other stress induced genes. Introgression of the “wild” S. pennellii HsfA2 locus into the cultivar M82, resulted in enhanced seedling thermotolerance highlighting the potential use of the polymorphic HsfA2 for breeding.
We conclude that alterations in the splicing efficiency of HsfA2 have contributed to the adaption of tomato species to different environments and these differences might be directly related to natural variation in their thermotolerance.
In dieser Arbeit wurden thermodynamische Eigenschaften eines chiralen Quark Meson Modelles untersucht. Das chirale Quark Meson Model beschreibt die starke Wechselwirkung über den Austausch von Mesonen und zudem die thermische und dichteabhängige Entwicklung der Quarkmassen im Medium über die chirale Symmetrie.Im SU(2) Model wurde zunächst in mean field approximation gearbeitet, um im Anschluss den divergenten Vakuumterm mit einzubeziehen. Nach eingehender Untersuchung der Ergebnisse, wurden dann die thermischen Mesonenfluktuationen studiert. In beiden Ansätzen verschiebt die Nullpunktsenergie den chiralen Phasenübergang zu höheren Temperaturen, wodurch die Massen bei höheren Temperaturen entarten. Beide Ansätze wurden dann zu einem gemeinsamen Modell kombiniert, um den Einfluss der Mesonenfluktuationen auf Ordnungsparameter, Massen und thermodynamische Grössen zu untersuchen. Als Fazit der Studie kann behauptet werden, dass sich der Einfluss der Mesonenfluktuationen in grösserem Maÿ auf die Thermodynamik, als auf den Ordnungsparameter und die Massen auswirkt. Im SU(3) Modell wurden ebenfalls regularisiert und zudem Vektormesonen mitberücksichtigt, welche die Repulsion zwischen den einzelnen Freiheitsgraden modelliert. Die Zustandsgleichung wird durch den Vakuum Term etwas softer und zeigt ein ähnliches Verhalten im niederen Energiebereich. Untersucht wurde neben der Temperatur T, die Elektron Baryon Rate Ye, die Sigma Meson Masse noch der Einfluss der Vektorkopplung. Aus der Zustandsgleichung konntendann Isentropen im T-mu Phasendiagramm errechnet werden, welche in naher Zukunft Aufschluss über eine dritte Familie von kompakten Sternen in Zusammenhang mit der entsprechenden Supernova Explosion geben könnte. Um die Existenz von kompakten Sternen genauer zu analysieren, wurde das chiraleSU(3) Quark Meson Modell bei T = 0 benutzt, um über die aus dem Formalismusgewonnenen Grössen Druck und Energiedichte die Tolmann-Oppenheimer-Volkoff zu lösen. Diese stellen die Masse-Radius Beziehungen kompakter Objekte dar. Auf der Suche nach Twin Stern Lösungen aus dem chiralen SU(3) Quark Meson Model wurde zunächst ein Modell für Hybridsterne entwickelt. Im untersuchten Parameterbereich fanden wir Hybrid Stern Lösungen, bei welchen der Einfluss der Quarkmaterie auf die Stabilität des Sternes untersucht wurde, denn das Einsetzen des Phasenüberganges übt einen zusätzlichen gravitativen Zug auf die hadronische Kruste aus. Der Stern ist stabil, wenn der Druck der Quarkmaterie diesem zusätzlichen Zug standzuhalten vermag. Für einen zu grossen Sprung in der Energiedichte werden die Lösungen jedoch instabil. Zwillingssterne waren nicht unter den Lösungen, da der Übergangsdruck relativklein sein muss, während der Energiedichtesprung eher gross sein sollte. Das Auftreten zweier stabiler Äste in der Masse Radius Relation kann allerdingsmit dem SU(3) Modell und entsprechendem chiralen Phasenübergang modelliert werden. Für einen gewissen Parameterbereich einhergehend mit kleinem Wert des Vakuum Druckes B konnten Nicht-Linearitäten in der Zustangsgleichungzur Lösung der TOV Gleichung beitragen. Im Weitern ist das Zusammenspiel der Vektorkopplung und der Sigma Mesonen Masse einflussreich auf die Lösungen, welche auf Kausalität, Stabilität und neben der 2 Sonnenmassen Bedingung noch auf Restriktionen vom millisecond pulsar PSR J1748-2446ad untersucht wurden.Mit Weltraummissionen wie etwa NICER (Neutron star Interior CompositionExploreR) sollte die Radiusbestimmung kompakter Objekte in Zukunft bis auf einen Kilometer genau bestimmt werden können. Die Entdeckung von zweiSternen mit der gleichen Masse und unterschiedlichen Radien wäre in der Tat ein Beweis für die Existenz von Zwillingssternen, welche dann die Theorie des Phasenüberganges in dichter Materie untermauern würde. Das Kollaps-Szenario eines Zwillingssternes würde weiteren Aufschluss über Neutrino-Emmissivität, Gamma-ray burster und Gravitationswellen Signale geben können. Dynamische Simulationen in allgemein relativistischem Kontext für compact star merger mit den hier diskutierten Zustandsgleichungen sind bereits in Planung, um Eigenschaftenwie beispielsweise das Temperatur- und Dichteprofil solcher Objekte genauer zu analysieren.
Biophysical studies of the translation-regulating add adenine riboswitch from Vibrio vulnificus
(2017)
Bacterial gene expression can be regulated at mRNA level by cis-acting mRNA elements termed riboswitches. Riboswitches operate by conformational switching between a ligand-free and a ligand-bound state with different structures that either activate or inhibit gene expression. This PhD thesis contributes to the molecular level understanding of full-length purine riboswitches. It presents biophysical investigations on the ligand-dependent folding of the full-length translation-regulating add adenine riboswitch from the gram-negative human pathogenic marine bacterium Vibrio vulnificus (Asw). Asw has the typical bipartite riboswitch architecture with a 5’ ligand-sensing aptamer domain and a 3’ regulatory domain termed expression platform. According to the working hypothesis, Asw employs a unique thermodynamically-controlled 3-state conformational switching mechanism between an apoB, an apoA and a holo conformation to regulate translation initiation in a temperature-compensated manner. The two apo conformations are the putative translation-OFF states and the holo conformation is the putative translation-ON state of Asw. In the main project of this PhD thesis, an integrated nuclear magnetic resonance (NMR) and smFRET spectroscopic study of the full-length 112-nucleotide Asw (112Asw) was performed. The adenine-dependent folding of 112Asw was monitored at the level of base pairing interactions by NMR of the RNA imino protons, and at the level of three long-range intramolecular distances by smFRET of immobilized molecules. The integrated NMR and smFRET spectroscopic study of 112Asw yielded two major findings. First, NMR and smFRET both revealed that adenine binding to 112Asw impedes apoB formation by stabilizing the apoA secondary structure in the holo conformation without modulating tertiary structural interactions between the two riboswitch domains. This highlights the central role of competitive P1 and P4 helix formation at the interface of the aptamer and the expression platform for switching the accessibility of the ribosome binding site of 112Asw. Moreover, it strongly corroborates the hypothesis that purine riboswitches in general operate according to the key principle of a spatially decoupled secondary structural allosteric switch that proceeds without ligand-induced tertiary structural interactions between the aptamer domain and the expression platform. Second, it was uncovered by smFRET that the apoA and the holo conformation of 112Asw do not adopt a single folding state at near-physiological Mg2+ concentration. Instead, apoA and holo exhibit a persistent dynamic equilibrium between substates with an undocked (U), a short-lived docked (D1; ~s) and a Mg2+-bound long-lived docked (D2; ~10 s) aptamer kissing loop motif. In the holo conformation, the fractional population of the long-lived docked substate is ~2-fold increased compared to the apoA conformation, but undocked and docked substates are still comparably stable. The here described multiple folding states of the apoA and the holo conformation might have regulatory properties that are in between the apoB translation-OFF state and the holo-D2 translation-ON state. Additonally, an integrated NMR and smFRET analysis of 127-nucleotide Asw (127Asw) is presented. Compared to 112Asw, 127Asw is 3’-elongated by 15 nucleotides of the adenosine deaminase encoding sequence of the add gene from Vibrio vulnificus. 127Asw was chosen as mRNA template for future investigations of the interaction between Asw and the 30S ribosomal subunit. The NMR spectra of 127Asw demonstrated that 127Asw has the same overall secondary structure as 112Asw. Like for 112Asw, the combined NMR and smFRET analysis of 127Asw showed that adenine binding impedes apoB formation and stabilizes a long-lived docked aptamer kissing loop fold. However, compared to 112Asw, 127Asw has a destabilized aptamer kissing loop motif and a stabilized P4 helix in the expression platform. Finally, ligand-observed studies of the transient encounter complex between Asw and the near-cognate ligand hypoxanthine are described. By competition binding WaterLOGSY NMR experiments with hypoxanthine and the adenine analogue 2,6-diaminopurine, it could be shown that hypoxanthine binds to the same binding site of 112Asw as the cognate ligand adenine. The hypoxanthine binding constant measured with the WaterLOGSY method is in the low mM range (1.8 mM) and substantially exceeds the physiological hypoxanthine concentration in E. coli (~0.3 mM), thus ruling out that hypoxanthine binding can significantly impact the translational regulation of Asw in vivo. Also, preliminary FTIR difference spectra of 13C,15N-labelled and unlabelled hypoxanthine in complex with the pbuE adenine riboswitch aptamer and the xpt guanine riboswitch aptamer are discussed. These spectra showed a pattern of multiple IR bands that appeared to be characteristic for the respective complex.
The theory of strong interactions — Quantum Chromodynamics (QCD) — is well-defined mathematically. However, direct applications of this theory to experiment are rather limited due to significant technical obstacles. Even some general features of QCD remain unclear to date.
Hence, phenomenological input is important and needed for practical applications, e.g. for theoretical analysis of the heavy-ion collision experiments. In this thesis the role of hadronic interactions is studied in the hadron resonance gas (HRG) model — a popular model for the confined phase of QCD. The description of hadronic interactions is based on the famous van der Waals (VDW) equation and its quantum statistical generalization. While this is not the conventional choice for nuclear/hadronic physicspplications, the simplicity of the VDW approach makes it extremely useful.
In particular, this framework allows to include the two most basic ingredients of hadron-hadron interaction: the short-range repulsion, modeled by excluded-volume (EV) corrections, and the intermediate range attraction. The first part of the thesis considers just the repulsive EV interactions between hadrons. A hitherto unknown, but surprisingly strong sensitivity of the long known thermal fits to heavy-ion hadron yield data to the choice of hadron eigenvolumes is uncovered. It challenges the robustness of the chemical freeze-out temperature and baryochemical potential determination from the thermal fits. However, at the same time, the extracted value of the entropy per baryon is found to be a robust observable which depends weakly on this systematic uncertainty of the HRG model.
A Monte Carlo procedure to treat EV interactions in HRG is also introduced in this thesis. It allows to study simultaneous effects of EV and of exact charge conservation in HRG for the first time. Generalizations of the classical VDW equation are required for its applications in hadronic physics. he grand canonical ensemble (GCE) formulation of the classical VDW equation is presented. Remarkably, this important aspect of the VDW equation was not discovered before. The GCE formulation yields the analytic structure of the critical fluctuations, both in the vicinity of and far off the critical point. These critical fluctuations are presently actively being used as probes for the QCD critical point. Another extension is the hitherto undiscovered generalization of the VDW equation to include quantum Bose-Einstein and Fermi-Dirac statistics. It is performed for both single-component and multi-component fluids. The Fermi-Dirac VDW equation is applied for the first time. It is used to describe nucleons and basic properties of nuclear matter. The quantum statistical generalization of the VDW equation developed in this work is quite general, and can be applied for any fluid. Thus, its applications are not restricted to QCD physics, but may also find themselves in chemistry and/or industry. The quantum statistical VDW equation is used to describe baryonic interactions in full HRG. The VDW parameters $a$ and $b$ are fixed to the nuclear ground state and the predictions of the model are confronted with lattice QCD calculations. The inclusion of baryonic interactions leads to a qualitatively different behavior of the fluctuations of conserved charges in the crossover region. In many cases it resembles the lattice data. These results suggest that hadrons do not melt quickly with increasing temperature, as one could conclude on the basis of the common simple ideal HRG model. Calculations at finite chemical potentials show that the nuclear liquid-gas transition manifests itself by non-trivial fluctuations of the net baryon number in heavy ion collisions. In the final part of the thesis the pure glue initial scenario for high-energy hadron and heavy-ion collisions is explored. This scenario is shown not to spoil the existing agreement of the hadronic and electromagnetic observables description in Pb+Pb collisions at energies available at the CERN Large Hadron Collider. Hydrodynamic calculations suggest that collisions of small-sized nuclei at lower collision energies available at the BNL Relativistic Heavy Ion Collider are promising in the search for the traces of the chemically non-equilibrium gluon-dominated phase transition.
The adult mammalian heart is unable to regenerate lost myocardial tissue after injury. In contrast, some lower vertebrates including zebrafish are able to undergo complete epimorphic regeneration following multiple types of cardiac injury. During the process of regeneration, spared zebrafish cardiomyocytes in the vicinity of the injured area undergo dedifferentiation and proliferation, thereby giving rise to new cardiomyocytes which replace the injured muscle. Insights into the molecular networks controlling these regenerative processes might help to develop novel therapeutic strategies to restore cardiac performance in humans.
While TGF-β signaling has been implicated in zebrafish cardiac regeneration, the role of individual TGF-β ligands remains to be determined. Here, I report the opposing expression response of two TGF-β ligand genes, mstnb and inhbaa, during zebrafish heart regeneration. Using gain- and loss-of-function approaches, I show that these ligands exert opposite effects on cardiac regeneration and specifically on cardiomyocyte proliferation. Notably, I show that overexpression of mstnb and loss of inhbaa negatively regulate cardiomyocyte proliferation and therefore disturb cardiac regeneration. In contrast, loss of mstnb and activation of inhbaa not only promote physiological cardiomyocyte proliferation but also enhance cardiac regeneration. I also identify Inhbaa as a mitogen which promotes cardiomyocyte proliferation independent of the well-established Nrg-ErbB signaling. Mechanistically, I unraveled that Mstnb and Inhbaa function through alternate Activin type 2 receptor complexes to control the activities of the signal transducers, Smad2 and Smad3, thereby regulating cardiomyocyte proliferation.
Altogether, I reveal novel and unidentified opposite functions of two TGF-β ligands during cardiac development and regeneration, resulting in a pro-mitogenic as well as an anti-mitogenic effect on cardiomyocytes. This study should therefore stimulate further research on targeting specific TGF-β family members to generate novel regenerative therapeutic strategies.
Software evolves. Developers and programmers manifest the needs that arise due to evolving software by making changes to the source code. While developers make such changes, reusing old code and rewriting existing code are inevitable. There are many challenges that a developer faces when manually reusing old code or rewriting existing code. Software tools and program transformation systems aid such reuse or rewriting of program source code. But there are significantly occuring development tasks that are hard to accomplish manually, where the current state-of-the-art tools are still not able to adequately automate these tasks. In this thesis, we discuss some of these unexplored challenges that a developer faces while reusing and rewriting program source code, the significance of such challenges, the existing automation support for these challenges and how we can improve upon them.
Modern software development relies on code reuse, which software developers
typically realize through hand-written abstractions, such as functions,
methods, or classes. However, such abstractions can be challenging to
develop and maintain. An alternative form of reuse is \emph{copy-paste-modify}, in which developers explicitly duplicate source code to adapt the duplicate for a new purpose. Copy-pasted code results in code clones, i.e., groups of code fragments that are similar to each other. Past research strongly suggests that copy-paste-modify is a popular technique among software developers. In this paper, we perform a small user study that shows that copy-paste-modify can be substantially faster to use than manual abstraction.
One might propose that software developers should forego hand-written abstractions in favour of copying and pasting. However, empirical evidence also shows that copy-paste-modify complicates software maintenance and increases the frequency of bugs. Furthermore, the developers in an informal poll we conducted strongly preferred to read code written using abstractions. To address the concern around copy-paste-modify, we propose a tool that merges similar pieces of code and automatically creates suitable abstractions. Our tool allows developers to get the best of both worlds: easy reuse together with custom abstractions. Because different kinds of abstractions may be beneficial in different contexts, our tool provides multiple abstraction mechanisms, which we selected based on a study of popular open-source repositories.
To demonstrate the feasibility of our approach, we have designed and implemented a prototype merging tool for C++ and evaluated our tool on a number of clones exhibiting some variation, i.e near clones, in popular Open Source packages. We observed that maintainers find our algorithmically created abstractions to be largely preferable to existing duplicated code. Rewriting existing code can be considered as a form of program transformation, where a program in one form is transformed into a program in another form. One significant form of program transformation is data representation migration that involves changing the type of a particular data structure, and then updating all of the operations that has a control or data dependence on that data structure according to the new type. Changing the data representation can provide benefits such as improving efficiency and improving the quality of the computed results. Performing such a transformation is challenging, because it requires applying data-type specific changes to code fragments that may be widely scattered throughout the source code connected by dataflow dependencies. Refactoring systems are typically sensitive to dataflow dependencies, but are not programmable with respect to the features of particular data types. Existing program transformation languages provide the needed flexibility, but do not concisely support reasoning about dataflow dependencies.
To address the needs of data representation migration, we propose a new approach to program transformation that relies on a notion of semantic dependency: every transformation step propagates the transformation process onward to code that somehow depends on the transformed code. Our approach provides a declarative transformation specification language, for expressing type-specific transformation rules. We further provide scoped rules, a mechanism for guiding rule application, and tags, a device for simple program analysis within our framework, to enable more powerful program transformations.
We have implemented a prototype transformation system based on these ideas for C and C++ code and evaluate it against three example specifications, including vectorization, transformation of integers to big integers, and transformation of array-of-structs data types to struct-of-arrays format. Our evaluation shows that our approach can improve program performance and the precision of the computed results, and that it scales to programs of at least 3700 lines.
Taxonomy, phylogeny and zoogeography of the hexaploid Torini of the Middle East and North Africa
(2017)
Fishes of the tribe Torini Karaman, 1971 (Teleostei: Cyprinidae) are a diverse group of primary freshwater fishes, distributed in Africa, the Middle East, and Indomalaya. They are an important component of the native freshwater-fish fauna of the Middle East and North Africa, and occur in most large river systems of the Levant, Arabia, Mesopotamia, southern Iran, and Morocco. They belong to the subfamily Cyprininae, are characterised by being tetraploid or hexaploid, having large scales, and a smooth and ossified last unbranched ray in the dorsal fin. As primary freshwater fishes they are not able to tolerate marine conditions and depend on direct freshwater connections for their dispersal. This makes them an ideal model for zoogeographic studies.
Prior to this study, the diversity of the Torini species in the Middle East and North Africa was not well understood. The validity of several genera and species was unclear, and the generic assignment of several species changed frequently.
In this PhD project the taxonomy, phylogeny, and zoogeography of the Torini of the Middle East and North Africa were investigated with morphological, as well as molecular methods. More than 1550 fish specimens were examined morphologically. Some of the specimens, including the types of most nominal species, were already available from museum collections. The remaining specimens were collected during expeditions to Ethiopia, Iran, Jordan, Morocco and Syria. Tissue samples were collected for molecular genetic analyses. The mitochondrial genes for cytochrome b, NADH dehydrogenase subunit 4 and the tRNAs for serine and histidine were sequenced from more than 120 specimens, representing 20 species of Torini and two small, diploid African barbs (Cyprinidae, tribe Smiliogastrini). Molecular data were analysed with Bayesian inference and other methods.
The analyses confirmed that the hexaploid Torini of Africa and the Middle East form a monophyletic group. In the Middle East and North Africa the Torini are represented by the genera Arabibarbus, Carasobarbus, Mesopotamichthys, and Pterocapoeta. These genera are each morphologically diagnosable, monophyletic, and genetically distinct. The species 'Labeobarbus' reinii cannot be assigned to any of these genera, because it is morphologically dissimilar and genetically clearly separated from each of them. A generic name for this species is presently not available and until the description of a new genus it is preliminarily assigned to the genus 'Labeobarbus'.
Out of the 28 species-group taxa described from the Middle East and North Africa until now, 15 are valid: Arabibarbus arabicus, A. grypus, A. hadhrami, Carasobarbus apoensis, C. canis, C. chantrei, C. exulatus, C. fritschii, C. harterti, C. kosswigi, C. luteus, C. sublimus, Mesopotamichthys sharpeyi, Pterocapoeta maroccana, and 'Labeobarbus' reinii.
The phylogenetic relationships between the Middle Eastern and North African Torini are well resolved, based on the analysis of mitochondrial DNA sequences from nearly all relevant species.
The interspecific and intraspecific morphological and genetic diversity is shaped by the zoogeographic history. Conclusions can be drawn about the events that shaped the evolution of this group. The Torini originated in the Indomalayan biogeographical realm and colonised the Middle East and Africa during the Miocene via the Gomphotherium landbridge. The Indomalayan Torini are tetraploid, whereas those of the Middle East and Africa are hexaploid. Molecular phylogenetic analyses showed that the hexaploid Torini cluster within the tetraploid Torini. This makes the tetraploid Torini a paraphyletic group with respect to the hexaploid Torini. Morocco was colonised in two independent waves. The first came from sub-Saharan Africa and is represented by Pterocapoeta maroccana. The second originated in the Middle East and gave rise to C. fritschii, C. harterti, and probably 'L.' reinii. The Tigris-Euphrates system is the largest freshwater system in the Middle East. Its central position between the Orontes River and Jordan River in the West, the Iranian tributaries to the Persian Gulf in the East, and the Arabian Peninsula in the South made it an important crossroad for the colonisation of the Middle East by Torini and other freshwater biota. During the Miocene the predecessors of the Jordan and Orontes rivers were connected to the Tigris-Euphrates system. The Jordan River was separated from the Euphrates before the Orontes. Arabia was colonised in two waves. The first (A. arabicus, A. hadhrami, C. exulatus) dates to the Pliocene, whereas the second (C. apoensis) ended as recently as the late Pleistocene or early Holocene.
Languages in general have various possibilities to express one and the same propositional content. One of these possibilities is grammatical variation. This thesis is concerned with the variation of the linear word order in a clause and the effects triggered by word order alternations. Although sharing the same propositional content, different word order variants can carry different functions; word order variation can be used to achieve certain stylistic effects. The dissertation looks at functional and stylistic preferences of English regarding variation from the canonical word order in (1).
(1) [Ernie]S [sits]V [on the table]O. (SVO)
The variation under consideration is locative inversion (LOCI), exemplified in (2).
(2) On the table sits Ernie.
As any variation from the canonical word order is said to strongly depend on the grammatical system of the language a sentence is realized in, the perspective is extended to the word order equivalent of the sentence above in German (3). The goal is to highlight possible differences/similarities between English and German with respect to one specific word order variant in a declarative main clause.
(3) Auf dem Tisch liegt ein Brief.
On the table lies a letter
‘On the table lies a letter’.
As the variation from the canonical word order is not expected to be coincidental in both languages, the features that favor the pattern under consideration are examined. This is done through a statistical analysis by employing two comparable corpora, the BNC for English and the TÜPP D/Z for German. The central questions for the thesis therefore are: What are the functions of the inverted constructions in English and German, what features favor their use in the respective languages, and how are they realized syntactically?
One finding is that German uses the syntactic pattern PP-V-NP for very similar reasons this pattern is used for in English. There seems to be a general tendency to order shorter before longer constituents. The syntactic pattern under consideration fulfills similar discourse functions in both languages. Both languages show similar preferences, they are driven by similar factors when having to decide on whether to stay with the canonical order or to prepose (respectively invert) the canonically postverbal PP.
Embedding spanning structures into the random graph G(n,p) is a well-studied problem in random graph theory, but when one turns to the random r-uniform hypergraph H(r)(n,p) much less is known. In this thesis we will examine this topic from different perspectives, providing insights into various aspects of the theory of random graphs. Our results cover the determination of existence thresholds in two models, as well as an algorithmic approach. For the embeddings, we work with random and pseudorandom structures.
Together with Person we first notice that a general result of Riordan can be adapted from random graphs to hypergraphs and provide sufficient conditions for when H(r)(n,p) contains a given spanning structure asymptotically almost surely. As applications, we discuss several spanning structures such as cubes, lattices, spheres, and Hamilton cycles in hypergraphs.
Moreover, we study universality, i.e. when does an r-uniform hypergraph contain every hypergraph on n vertices with maximum vertex degree bounded by [delta]? For H(r)(n,p), it is shown with Person that this holds for p = w(ln n/n)1/[delta]) asymptotically almost surely by combining approaches taken by Dellamonica, Kohayakawa, Rödl, and Ruciński, of Ferber, Nenadov, and Peter, and of Kim and Lee.
Any hypergraph that is universal for the family of bounded degree r-uniform hypergraphs has to contain [omega](nr-r/[delta]) edges. With Hetterich and Person we exploit constructions of Alon and Capalbo to obtain universal r-uniform hypergraphs with the optimal number of edges O(nr-r/[delta]) when r is even, r | [delta], or [delta] = 2. Furthermore, we generalise the result of Alon and Asodi about optimal universal graphs for the family of graphs with at most m edges and no isolated vertices to hypergraphs.
In an r-uniform hypergraph on n vertices a tight Hamilton cycle consists of n edges such that there exists a cyclic ordering of the vertices where the edges correspond to consecutive segments of r vertices. In collaboration with Allen, Koch, and Person we provide a first deterministic polynomial time algorithm, which finds asymptotically almost surely tight Hamilton cycles in random r-uniform hypergraphs with edge probability at least C log3 n/n. This result partially answers a question of Nenadov and Skorić and of Dudek and Frieze who proved that tight Hamilton cycles exist already for p = w(1/n) for r = 3 and p [größer/gleich] (e + o(1))/n for r [größer/gleich] 4 using a second moment argument. Moreover our algorithm is superior to previous results of Allen, Böttcher, Kohayakawa, and Person and Nenadov and Skorić.
Lastly, we study the model of randomly perturbed dense graphs introduced by Bohman, Frieze and Martin, that is, the union of any n-vertex graph G[alpha] with minimum degree at least [alpha]n and G(n,p). For any fixed [alpha] > 0, and p = w(n-2/([delta]+1)), we show with Böttcher, Montgomery, and Person that G[alpha] UG(n,p) almost surely contains any single spanning graph with maximum degree [delta], where [delta] [größer/gleich] 5. As in previous results concerning this model, the bound used for p is lower by a log-term in comparison to the conjectured threshold for the general appearance of such subgraphs in G(n,p) alone. The new techniques we introduce also give simpler proofs of related results in the literature on trees and factors.
Tissue size regulation is critical for the normal functioning of the organ as well as to prevent unwanted pathogenesis such as cancer. The Hippo signaling pathway is well known for its robust regulation of tissue growth by the negative regulation of its nuclear effectors YAP1 and WWTR1. In this study, I have described the role of Yap1/Wwtr1 in zebrafish development, with a primary emphasis on the cardiovascular system.
I have generated zebrafish yap1 and wwtr1 mutants by CRISPR/CAS9. The mutant alleles are likely to be nonfunctional due to a premature stop codon and they show evidence of nonsense-mediated decay. Given that Yap1 and Wwtr1 are closely related proteins and have overlapping functions, I am given the opportunity to perform combinatorial analysis of the mutations on zebrafish development. Together with molecular probing tools, high-throughput sequencing and high-resolution imaging, I showed that
1. Double yap1;wwtr1 mutants exhibit severe posterior elongation phenotype, but somitogenesis appears to proceed as usual.
2. Yap1 and Wwtr1 may play an important role in PCV development and secondary angiogenic sprouting. However, key experiments will be needed to elucidate the direct role of Yap1 and Wwtr1 on these processes.
3. wwtr1-/- larvae hearts have a reduction in trabeculation, but in mosaic WT hearts, mutant cardiomyocytes prefer to populate the trabecular layer. My studies revealed that the mutant compact wall could not support trabeculation, which explains the hypotrabeculation phenotype of wwtr1-/- hearts. Additionally, Wwtr1 is required for myocardial Notch activity and can inhibit compact wall cardiomyocytes from entering the trabecular layer.
In summary, the Hippo signaling pathway, through Yap1/Wwtr1 has important regulatory functions in growth control. My work has revealed a surprising role for Yap1/Wwtr1 in tissue morphogenesis such as posterior tail morphogenesis and specific developmental processes of the cardiovascular system. It will be of interest to elucidate the regulation of Yap1/Wwtr1 in individual cells that translates into the complex cellular behaviors that drives morphogenesis.
Gepulste dipolare EPR-Spektroskopie ist eine wertvolle Methode, um Abstände von 1.5 bis 10 nm zwischen zwei Spinmarkern zu messen. Diese Information kann für Strukturbestimmungen hilfreich sein, wo traditionelle Methoden wie Kristallstrukturanalyse und NMR nicht angewendet werden können. Zusätzlich ist es möglich, Änderungen in Konformation und Flexibilität zu verfolgen. Für diese Studien haben sich stabile Nitroxidradikale als Spinmarker etabliert. Diese werden spezifisch durch die site-directed spin labelling Methode (SDSL) kovalent an das zu untersuchende Biomolekül gebunden. In den letzten Jahren wurden weitere Spinmarker für Abstandsbestimmungen mittels EPR-Spektroskopie entwickelt. Besonders interessant sind Triarylmethylradikale (im Folgenden abgekürzt als Trityl) und paramagnetische Metallzentren.
Im Vergleich zu Nitroxidradikalen hat das Tritylradikal einige Vorteile: Eine höhere Stabilität in einer reduzierenden Umgebung wie im Inneren von Zellen, längere Elektronenspin-Relaxationszeiten bei Raumtemperatur und ein schmaleres EPR-Spektrum. Deswegen ist dieses organische Radikal ein alternativer Spinmarker, der besonders gut für die Forschung von Biomolekülen in einer nativen Umgebung unter physiologischen Bedingungen geeignet ist. Auch paramagnetische Metallzentren sind weniger reduktionsempfindlich als Nitroxidradikale. Zusätzlich sind diese Spinmarker interessant in biologischen Fragestellungen. Zum Beispiel besitzen zahlreiche Enzyme paramagnetische Manganzentren als Cofaktoren. Zudem kann Magnesium, ein wesentlicher Cofaktor in Enzymen, Nukleinsäuren und Nukleotid-Bindungsdomänen der G- und Membranproteine, oft durch das paramagnetische Mangan ersetzt werden. Um Abstandsmessungen an Biomolekülen, die nur ein Metallzentrum besitzen, durchzuführen, können zusätzliche Spinmarker in Form eines Nitroxid-, Tritylradikals oder eines anderen paramagnetischen Metallkomplexes mithilfe der SDSL-Methode kovalent gebunden werden.
Nitroxidradikale, Tritylradikale und Metallzentren haben deutlich unterschiedliche EPR-spektroskopische Eigenschaften, welche oft als orthogonale Spinmarker bezeichnet werden. Solche Spinmarker sind nützlich für die Untersuchung von verschiedenen Untereinheiten bei makromolekularen Komplexen. Somit können die intramolekularen Abstände innerhalb einer Untereinheit sowie intermolekularen Abstände zwischen den unterschiedlichen Untereinheiten mit nur einer einzigen Probe bestimmt werden. Zusätzlich können die orthogonalen Marker sehr effektiv genutzt werden, um Metallzentren in Biomolekülen mithilfe der Trilateration-Strategie genau zu lokalisieren.
Die hier vorliegende Doktorarbeit beschäftigt sich mit der Nutzung dieser neuen Spinmarker für Abstandsmessungen. Solche Spinmarker sind noch kaum erforscht, obwohl sie für biologische Anwendungen eine große Rolle spielen könnten.
Das erste Ziel dieser Doktorarbeit war eine Studie über Tritylradikale mithilfe der dipolaren EPR-Spektroskopie. Zu diesem Zweck wurden sowohl double quantum coherence (DQC) und single frequency technique for refocussing dipolar couplings (SIFTER) Experimente als auch Hochfrequenz pulsed electron electron double resonance (PELDOR) Experimente mit einem Trityl-Modellsystem durchgeführt. Dabei wurden die Besonderheiten der unterschiedlichen dipolaren Spektroskopiemethoden mit diesem Spinmarker untersucht, um die Empfindlichkeit und Robustheit für die Abstandsmessungen zu optimieren.
Das zweite Ziel war eine Studie über den Einfluss der Hochspin-Multiplizität des Mangans auf die Abstandsbestimmungen. Für diesen Zweck wurde zuerst ein Modellsystem mit einem orthogonalen Mn2+ Ion und Nitroxidradikal mithilfe der PELDOR-Spektroskopie untersucht. Anschließend wurde ein weiteres Modellsystem mit zwei Mn2+-Ionen untersucht, um PELDOR und relaxation-induced dipolar modulation enhancement (RIDME) Experimente bezüglich ihrer Empfindlichkeit und Robustheit sowie Genauigkeit der Datenanalyse zu optimieren.
Das Trityl-Modellsystem wurde in der Arbeitsgruppe von Prof. Sigurdsson synthetisiert. Die EPR Messungen wurden bei zwei verschiedenen Mikrowellenfrequenzen (34 und 180 GHz) durchgeführt. Es wurde gezeigt, dass die Auswahl der optimalen Methode von den EPR-spektroskopischen Eigenschaften des Systems bei den jeweiligen Mikrowellenfrequenzen abhängig ist. Das EPR-Spektrum des Trityls ist bei 34 GHz so schmal, dass das ganze Spektrum von einem üblichen Mikrowellenpuls angeregt werden kann. In diesem Fall sind die DQC und SIFTER Experimente am besten geeignet. Der mit diesen Methoden bestimmte Abstand von 4.9 nm ist in guter Übereinstimmung mit Werten aus der Literatur. Es wurde festgestellt, dass die SIFTER Messung eine höhere Empfindlichkeit als DQC besitzt, da das Signal-zu-Rausch Verhältnis um den Faktor vier größer ist. Außerdem ist die SIFTER-Methode experimentell weniger anspruchsvoll, da ein deutlich kürzerer Phasenzyklus für die Mikrowellenpulse benötigt wird. ...
Research in cell and developmental biology requires the application of three-dimensional model systems that reproduce the natural environment of cells. Processes in developmental biology are therefore studied in entire systems like insects or plants. In cell biology, three-dimensional cell cultures (e.g. spheroids or organoids) model the physiology and pathology of cells, tissues or organs. In all systems, the cellular neighborhood and interactions, but also physicochemical influences, are realistically presented. The production and handling of these model systems is rather simple and allows for reproducible characterization.
Confocal and light sheet-based fluorescence microscopy (LSFM) enable the observation of these systems while maintaining their three-dimensional integrity. LSFM is applicable to imaging live samples at high spatio-temporal resolution over long periods of time. The quality of the acquired datasets enables the extraction of quantitative features about morphology, functionality and dynamics in the context of the complete system. This approach is referred to as image-based systems biology. Exploiting the potential of the generated datasets requires an image analysis pipeline for data management, visualization and the retrieval of biologically meaningful values.
The goal of this thesis was to identify, develop and optimize modules of the image analysis pipeline. The modules cover data management and reduction, visualization, reconstruction of multiview image datasets, the segmentation and tracking of cell nuclei and the extraction of quantitative features. The modules were developed in an application-driven manner to test and ensure their applicability to real datasets from three-dimensional fluorescence microscopy. The underlying datasets were taken from research projects in developmental biology in insects and plants, as well as from cell biology.
The datasets acquired in fluorescence microscopy are typically complex and require common image processing steps in order to manage, visualize, and analyze the datasets. The first module accomplishes automatic structuring of large image datasets, reduces the data amount by image cropping and compression and computes maximum projection images along different spatial directions. The second module corrects for intensity variations in the generated maximum projection images that occur as a function of time. The program was published as a part of an article in Nature Protocols. Another developed module named BugCube provides a web-based platform to visualize and share the processed image datasets.
In LSFM, samples can be rotated in-between two acquisitions enabling the generation of multiview image datasets. Prior to my work, Frederic Strobl and Alexander Ross acquired the complete embryogenesis of the red flour beetle, Tribolium castaneum, and the field cricket, Gryllus bimaculatus, with LSFM. I evaluated a plugin for the software FIJI as a module for the reconstruction of such datasets. The plugin was optimized for automation and efficiency. We obtained the first high quality three-dimensional reconstructions of Tribolium and Gryllus datasets.
Optical clearing increases the penetration depth into samples, thus providing endpoint images of entire three-dimensional objects with cellular detail. This work contributes a quantitative characterization module that was applied to endpoint images of optically cleared spheroids. A program for the generation of ground truth datasets was developed in order to evaluate the cell nuclei segmentation performance. The program was part of a paper that was published in BMC Bioinformatics. Using the program, I could show that the cell nuclei segmentation is robust and accurate. Approaches from computational topology and graph theory complete the segmentation of cell nuclei. Thus, the developed module provides a comprehensive quantitative characterization of spheroids on the level of the individual cell, the cell neighborhood and the whole cell aggregate. The module was employed in four applications to analyze the influence of different stress conditions on the morphology and cellular arrangement of cells in spheroids. The module was accepted for publication in Scientific Reports along with the results for one application. The cell nuclei segmentation further provided a data source for simulation models that used correlation functions to identify structural zones in spheroids. These results were published in Royal Society Interface.
The final part of this work presents a module for cell tracking and lineage reconstruction. In collaboration with Dr. Alexis Maizel, Dr. Jens Fangerau and Dr. Daniel von Wangenheim, I developed a module to track the positions of all cells involved in lateral root formation in Arabidopsis thaliana and used the extracted positions for extensive data analysis. We reconstructed the cell lineages and established the first atlas of all founder cells that contribute to the formation. The analysis of the retrieved data allowed us to study conserved and individual patterns in lateral root formation. The atlas and parts of the analysis presented in this thesis were published in Current Biology.
In this thesis, I developed modules for an image analysis pipeline in three-dimensional fluorescence microscopy and applied them in interdisciplinary research projects. The modules enabled the organization, processing, visualization and analysis of the datasets. The perspective of the image analysis pipeline is not restricted to image-based systems biology. With ongoing development of the image analysis pipeline, it can also be a valuable tool for medical diagnostics or industrial high-throughput approaches.
The cardiovascular system (CVS) consists of heart and blood vessels, forming a close circulatory loop. All tissues depend on the nutrients and molecular oxygen (O2) delivered by the blood. Therefore, it is not surprising that the CVS is one of the first working systems and the heart is the first functional organ in the forming embryo (Baldwin 1996). The building blocks of blood vessels are endothelial cells (ECs), which form the endothelium, a specialized epithelium that defines the luminal surface of the vessels (Pugsley and Tabrizchi 2000). The process of blood vessel development comprises several steps. The first events occurring are the formation of new vessels de novo to constitute the primary vascular loop known as vasculogenesis. During vasculogenesis the vascular precursors, known as angioblasts, migrate and coalesce to form the axial vessels. Subsequently, the main vessels undergo a specification step where they acquire either arterial or venous identity. As the embryo increases in size, the main vascular loop needs to increase in complexity. In order to reach all the different parts of the developing organs, new blood vessels are formed from pre-existing ones, a phenomenon known as angiogenesis (Gore et al. 2012).
Mature blood cells have a short lifespan. Therefore, hematopoietic stem cells (HSCs) are required throughout lifetime to constantly form new blood cells in a process called hematopoiesis. Interestingly, endothelial and immune cells development have been shown to converge at different points during their development, one of which is developmental hematopoiesis. During embryogenesis, definitive hematopoiesis occurs in a tissue called hemogenic endothelium (HE), a specialized subset of ECs at the ventral wall of the dorsal aorta (DA). HE acquires hematopoietic potentials and gives rise to HSCs, through a process known as endothelial-to-hematopoietic transition (EHT). During EHT, these specialized ECs extrude from DA and colonize the so-called aorta-gonadmesonephros (AGM) region, forming the native HSCs (Paik and Zon 2010).
As vascular development requires different steps, the molecular pathways involved are many. The Notch signaling pathway has been demonstrated to be one of the main players in vascular development. Among other functions, Notch signaling has been shown to be important during EHT. In the murine model, Runx1, a master regulator of HSC formation, has been shown to be transcriptionally regulated by NOTCH1 through GATA2 activation. This observation was later corroborated by knockdown studies for notch1a and notch1b in zebrafish (Butko, Pouget, and Traver 2016). Another essential pathway for vascular development is the HIF pathway. Hif-1α, Hif-1β and Hif-2α mouse mutants show severe vascular defects that result in early embryonic lethality (Simon and Keith 2008), which hinders a deep analysis of the phenotypes incurring in the mutant embryos. In addition, deletion of Hif-1α specifically in myeloid cells showed abnormalities in the motility, invasiveness, and adhesion of macrophages (Cramer et al. 2003). Intriguingly, Hif-1α deletion in vascular endothelial cadherin-expressing cells led to a significant but partial reduction of HSC number, suggesting that other players may be involved in this pathway (Imanirad et al. 2014).
Zebrafish embryos have been shown to be tolerant to hypoxia at very early stages of development (Padilla and Roth 2001). Also, zebrafish embryos develop externally and this allows to finely manipulate the environment where they grow (Lieschke and Currie 2007). These features make zebrafish an ideal model to investigate how hypoxia and Hif transcription factors affect vertebrate vascular development. In this study, I will examine the impact of hypoxia on zebrafish vascular development. Specifically, I will dissect the role of hif-1α in macrophage-EC interactions during vascular development and repair. Moreover, I show redundant functions for hif-1α and hif-2α in HSC development upstream of Notch signaling.
Mistral and Tramontane are wind systems in southern France and the western Mediterranean Sea. Both are caused by similar synoptic situations and channeled in valleys. Their relevance for the climate of the western Mediterranean region motivated this work. The representation of Mistral and Tramontane in regional climate simulations was surveyed with the models ALADIN, WRF, PROMES, COSMO-CLM, RegCM, and LMDZ. ERA-Interim and global CMIP5 simulations (MPI-ESM, CMCC-CM, HadGEM2-ES, and CNRM-CM5) provided the lateral boundary data for the regional simulations regarding the 20th century and two representative concentration pathways for the 21st century (RCP4.5 and RCP8.5).
A Mistral and Tramontane time series, a principal component analysis of pressure fields, and a Bayesian network were combined to develop a classification algorithm to identify pressure patterns in favor of Mistral and Tramontane. The regional climate models were able to reproduce the observed climatology of Mistral and Tramontane. Compared to observational data (SAFRAN and QuikSCAT), the simulations underestimate the wind speed over the Mediterranean Sea, mainly at the borders of the main flow. Simulations with smaller grid spacing showed better agreement with the observations.
A sensitivity study tested the influence of the Charnock parameter on the Mistral wind field. Its value impacted both wind speed and wind direction. Decreasing the orographic resolution in idealized simulations using COSMO-CLM caused a reduction in wind speed and a broader flow area. Including a parameterization for subgrid scale orography improved the simulation. However, an accurate simulation of Mistral and Tramontane still requires a high-resolution orography.
The classification algorithm also was applied to pressure fields from regional climate simulations driven by global simulation data. At the end of the 21st century, only small, non-significant changes in the number of Mistral days per year occur in the projection simulations. The number of Tramontane days per year decreased significantly.
Structural biology often employs a combination of experimental and computational approaches to unravel the structure-function paradigm of biological macromolecules. This thesis aims to approach this combination by the application of Pulsed Electron-Electron Double Resonance (PELDOR/DEER) spectroscopy and structural modelling. In this respect, PELDOR spectroscopy in combination with site-directed spin labelling (SDSL) of proteins is frequently used to gain distance restraints in the range from 1.8 to 8 nm. The inter-spin distance and the flexibility of the spin labelled protein domains are encoded in the oscillation and the dampening of the PELDOR signal. The intrinsic flexibility of the commonly used MTSSL (1-Oxyl-2,2,5,5-tetramethylpyrroline-3-methyl) spin label itself can be an obstacle for structural modelling if the flexibility of the label is large compared to the flexibility of the protein domains. In this thesis the investigation of two multi-domain proteins by the 4-pulse PELDOR sequence is presented. At first, the N-terminal polypeptide transport-associated (POTRA) domains of anaOmp85, a rigid three domain protein, giving well-defined PELDOR distance restraints, is investigated. The experimental restraints are used for structure refinement of the X-ray structure and reveal a strong impact of the intrinsic flexibility of MTSSL on the accuracy of structural refinement. The second example, K48-linked diubiquitin, is a highly flexible multi-domain protein on which the flexibility of MTSSL is of minor impact on structural modelling. In this case, the distance restraints are utilized to determine conformational ensembles. Due to the high intrinsic flexibility already characterizing diubiquitin the recently developed 7-pulse Carr-Purcell (CP) PELDOR sequence was applied to investigate longer ubiquitin chains. This sequence enables to measure dipolar oscillations with an extended time window, allowing a good separation between inter- and intramolecular contributions even for long distance and broad conformational distributions, thereby providing an increased accuracy of the obtained distance distributions.
The fruit fly Drosophila melanogaster is one of the most important biological model organisms, but only the comparative approach with closely related species provides insights into the evolutionary diversification of insects. Of particular interest is the live imaging of fluorophores in developing embryos. It provides data for the analysis and comparison of the threedimensional morphogenesis as a function of time. However, for all species apart from Drosophila, for example the red flour beetle Tribolium castaneum, essentially no established standard operation procedures are available and the pool of data and resources is sparse. The goal of my PhD project was to address these limitations. I was able to accomplish the following milestones:
- Development of the hemisphere and cobweb mounting methods for the non-invasive imaging of Tribolium embryos in light sheet-based fluorescence microscopes and characterization of most crucial embryogenetic events.
- Comprehensive documentation of methods as protocols that describe (i) beetle rearing in the laboratory, (ii) preparation of embryos, (ii) calibration of light sheet-based fluorescence microscopes, (iv) recording over several days, (v) embryo retrieval as a quality control as well as (vi) data processing.
- Adaption of the methods to record and analyze embryonic morphogenesis of the Mediterranean fruit fly Ceratitis capitata and the two-spotted cricket Gryllus bimaculatus as well as integration of the data into an evolutionary context.
- Further development of the hemisphere method to allow the bead-based / landmark-based registration and fusion of three-dimensional images acquired along multiple directions to compensate the shadowing effect.
- Development of the BugCube, a web-based computer program that allows to share image data, which was recorded by using light sheet-based fluorescence microscopy, with colleagues.
- Invention and experimental proof-of-principle of the (i) AGameOfClones vector concept that creates homozygous transgenic insect lines systematically. Additionally, partial proof-of-principle of the (ii) AClashOfStrings vector concept that creates double homozygous transgenic insect lines systematically, as well as preliminary evaluation of the (iii) AStormOfRecords vector concept that creates triple homozygous transgenic insect lines systematically.
- Creation and performance screening of more than fifty transgenic Tribolium lines for the long-term imaging of embryogenesis in fluorescence microscopes, including the first Lifeact and histone subunit-based lines.
My primary results contribute significantly to the advanced fluorescence imaging approaches of insect species beyond Drosophila. The image data can be used to compare different strategies of embryonic morphogenesis and thus to interpret the respective phylogenetic context. My technological developments extend the methodological arsenal for insect model organisms considerably.
Within my perspective, I emphasize the importance of non-invasive long-term fluorescence live imaging to establish speciesspecific morphogenetic standards, discuss the feasibly of a morphologic ontology on the cellular level, suggest the ‘nested linearly decreasing phylogenetic relationship’ approach for evolutionary developmental biology, propose the live imaging of species hybrids to investigate speciation and finally outline how light sheet-based fluorescence microscopy contributes to the transition from on-demand to systematic data acquisition in developmental biology.
During my PhD project, I wrote a total of ten manuscripts, six of which were already published in peer-reviewed scientific journals. Additionally, I supervised four Master and two Bachelor projects whose scientific questions were inspired by the topic of my PhD work.
Inhibition of midbrain dopamine (DA) neurons codes for negative reward prediction errors, and causally affects conditioning learning. DA neurons located in the ventral tegmental area (VTA) display two-fold longer rebound delays from hyperpolarizing inhibition in comparison to those in the substantia nigra (SN). This difference has been linked to the slow inactivation of Kv4.3-mediated A-type currents (IA). One known suppressor of Kv4.3 inactivation is a splice variant of potassium channel interacting protein 4 (KChIP4), KChIP4a, which has a unique potassium channel inactivation suppressor domain (KISD) that is coded within exon 3 of the KChIP4 gene. Previous ex vivo experiments from our lab showed that the constitutive knockout of KChIP4 (KChIP4 KO) removes the slow inactivation of IA in VTA DA neurons, with marginal effects on SN DA neurons. KChIP4 KO also increased firing pauses in response to phasic hyperpolarization in these neurons. Here I show, using extracellular recordings combined with juxtacellular labeling in anesthetized mice, that KChIP4 KO also selectively changes the number and duration spontaneous firing pauses by VTA DA neurons in vivo. Pauses were quantified with two different statistical methods, including one developed in house. No other firing parameter was affected, including mean frequency and bursting, and the activity of SN DA neurons was untouched, suggesting that KChIP4 gene products have a highly specific effect on VTA DA neuron responses to inhibitory input.
Following up on this result, I developed a new mouse line (KChIP4 Ex3d) where the KISD-coding exon 3 of KChIP4 is selectively excised by cre-recombinase expressed under the dopamine transporter (DAT) promoter, therefore disrupting the expression of KChIP4a only in midbrain DA neurons. I show that these mice have a highly selective behavioral phenotype, displaying a drastic acceleration in extinction learning, but no changes in acquisition learning, in comparison to control littermates. Computational fitting of the behavioral data with a modified Rescorla-Wagner model confirmed that this phenotype is congruent with a selective increase in learning from negative prediction errors. KChIP4 Ex3d also had normal open field exploration, novel object preference, hole board exploration and spontaneous alternation in a plus maze, indicating that exploratory drive, responses to novelty, anxiety, locomotion and working memory were not affected by the genetic manipulation. Furthermore semi-quantitative IHC revealed that KChIP4 Ex3d mice have increased Kv4.3 expression in TH+ neurons, suggesting that the absence of KChIP4a increases the binding of other KChIP variants, which known to increase surface expression of Kv4 channels.
Furthermore, in the course of my experimental study I identified that the most used mouse line where cre-recombinase is expressed under the DAT promoter (DAT-cre KI) has a different behavioral phenotype during conditioning in relation to WT littermate controls. These animals displayed increased responding during the initial trials of acquisition and delayed response latency extinction, consistent with an increase in motivation, which is in line with a decrease in DAT function.
I propose a working model where the disruption of KChIP4a expression in DA neurons leads to an increase in binding of other KChIP variants to Kv4.3 subunits, promoting their increased surface expression and increasing IA current density; this then increases firing pauses in response to synaptic inhibition, which in behaving animals translates to an increase in negative prediction error-based learning.
Terahertz (THz) physics are an emerging field of research dealing with electromagnetic radiation in the far-infrared to microwave region. The development of innovative technologies for the generation and detection of THz radiation has only in the recent past led to a tremendous rise of both fundamental research as well as investigation of possible fields of application for THz radiation. The most prominent reason has long been the scarce accessibility of the THz region of the electromagnetic spectrum - commonly loosely located between 0.1 and 30 THz - to broad research, and it was mostly limited to astronomy and high energy physics facilities. Over the recent years, numerous novel concepts on both the source and detector side have been proposed and successfully implemented to overcome this so-called THz gap. New technology has become available and paved the way for wide-spread experimental laboratory work and accompanying theoretical investigations. First application studies have emerged and in some cases even commercial development of the field of THz physics is on the rise. Despite these enormous progresses, a continuing demand for more efficient THz detectors still impels current technological research. Relatively low source powers are often a major limiting factor and the request for new detection concepts, their understanding and implementation, as well as the optimization on a device basis has been and still remains in place. One of these concepts is the use of field-effect transistors (FETs) high above their conventional cut-off frequencies as electronic THz detectors. The concept has been proposed in a number of theoretical publications by M. Dyakonov and M. Shur in the early 1990's, who pioneered to show that under certain boundary conditions, non-linear collective excitations of the charge carrier system of a two-dimensional electron gas (2DEG) by incident THz radiation can exhibit rectifying behaviour - a detection principle, which has become known as plasma wave or plasmonic mixing. Up until this day, the concept has been successfully implemented in many device realizations - most advanced in established silicon CMOS technology - and stands on the edge of becoming commercially available on a large scale. The main direction of the work presented in this thesis was the modeling and experimental characterization of antenna-coupled FETs for THz detection - termed TeraFETs in this and the author's previous works - which have been implemented in different material systems. The materials presented in this thesis are AlGaN/GaN HEMTs and graphene FETs. In a number of scientific collaborations, TeraFETs were designed based on a hydrodynamic transport model, fabricated in the respective materials, and characterized mainly in the lower THz frequency region from 0.2 to 1.2 THz. The theoretical description of the plasma wave mixing mechanism in TeraFETs, as initiated by Dyakonov and Shur, was based on a fluid-dynamic transport model for charge carriers in the transistor channel. The THz radiation induces propagating charge density oscillations (plasma waves) in the 2DEG, which via non-linear self-mixing cause rectification of the incident THz signals. Over the course of this work, it became evident in the on-going detector characterization experiments that this original theoretical model of the detection process widely applied in the respective literature does not suffice to describe some of the experimental findings in TeraFET detection signals. Thorough measurements showed signal contributions, which are identified in this work to be of thermoelectric origin arising from an inherent asymmetric local heating of charge carriers in the devices. Depending on the material, these contributions constituted a mere side effect to plasmonic detection (AlGaN/GaN) or even reached a comparable magnitude (graphene FETs). To include these effects in the detector model, the original reduced fluid-dynamic description was extended to a hydrodynamic transport model. The model yields at the current stage a reasonable qualitative agreement to the measured THz detection signals. This thesis presents the formulation of a hydrodynamic charge carrier transport model and its specific implementation in a circuit simulation tool. A second modeling aspect is that the transport equations cover only the intrinsic plasmonic detection process in the active gated part of the TeraFET's transistor channel. In order to model and simulate the behavior of real devices, extrinsic detector parts such as ungated channel regions, parasitic resistances and capacitances, integrated antenna impedance, and others must be considered. The implemented detector model allows to simulate THz detection in real devices with the above influences included. Besides presentation of the detector model, experimental THz characterization of the fabricated TeraFETs is presented in this work. Careful device design yielded record detection performance for detectors in both investigated materials. The respective results are shown and the experimental observations of the thermoelectric effect in TeraFETs are compared to modeling results. It is the goal of this work to provide a framework for further theoretical and experimental studies of the plasmonic and thermoelectric effect in TeraFETs, which could eventually lead to a new type of THz detectors particularly exploiting the thermoelectric effect to enhance the sensitivity of today's plasmonic TeraFETs.
Expression, perception and recognition of intense emotions in healthy and depressed individuals
(2017)
Die Fähigkeit die Gefühle anderer zu erkennen und einzuordnen ermöglicht es soziale Situationen richtig einzuschätzen und soziale Beziehungen aufzubauen. Da Emotionen also in unserem Leben eine wichtige Rolle spielen, kann eine Dysregulation der Emotionsverarbeitung auch zu elementaren Einschränkungen führen. Menschen, die unter depressiven Episoden leiden, durchleben beispielsweise regelmäßig Phasen intensiver und anhaltender Traurigkeit. Jedoch ist noch nicht vollständig erklärt, wie es zu dieser verzerrten Emotionswahrnehmung kommt. Diese Dissertation hatte deshalb das Ziel, den Ausdruck, die Wahrnehmung und das Erkennen extremer Emotionen genauer zu beleuchten.
In Studie 1 wurden der Ausdruck und das Erkennen extremer Emotionen untersucht.
Hierbei dienten aus dem Internet bezogene Videosequenzen von Kindern und Erwachsenen als Basis, in denen diese sich in Situationen befanden, die sie extrem negative oder extrem positive Emotionen durchleben ließen. Die Gesichtsausdrücke der Kinder und Erwachsenen wurden dann zum Zeitpunkt der stärksten emotionalen Erregung in ein Bild umgewandelt und von unabhängigen Ratern auf ihre Valenz und ihr Arousal eingeschätzt. Es wurde beobachtet, dass - entgegen der Vorhersage etablierter Emotionstheorien (z.B. Ekman, 1993) – Emotionen hoher positiver und negativer Intensität schwer auseinander zu halten sind. Tatsächlich wurden positive Emotionsausdrücke häufig als negativ eingeschätzt. Eine mögliche Erklärung dafür liefern Aragón und Kollegen (2015). Sie schätzen den Ausdruck negativer Emotionen in positiven Situationen als Emotionsregulationsstrategie ein, die dazu dient ein emotionales Equilibrium wieder herzustellen, das durch die überwältigenden positiven Emotionen aus dem Gleichgewicht gebracht wurde.
In Studie 2 und 3 wurde die Wahrnehmung negativer Emotionen bei depressiven Menschen im Vergleich zu gesunden Kontrollprobanden auf subjektiver und physiologischer Ebene untersucht. Hierbei wurde zunächst im Rahmen von Studie 2 untersucht, ob Parameter des autonomen Nervensystems (ANS) sich zwischen depressiven und gesunden Probanden unterscheiden. ANS-Parameter umfassten Hormone (Cortisol und DHEA), Herzratenvariabilität (HRV), Hautleitfähigkeit (GSR), Hauttemperatur (TEMP) und Atemfrequenz (RSP). Es konnten erhöhte DHEA-Werte, eine erhöhte Hauttemperatur und eine reduzierte Atemfrequenz in der Patientengruppe gefunden werden. Eine erhöhte Hauttemperatur korrelierte zudem mit der Ausprägung depressiver Symptome und der aktuellen Stimmung. Reduzierte HRV-Werte wurden hauptsächlich auf antidepressive Medikation zurückgeführt.
In Studie 3 wurde dann die Reaktion der Probanden auf emotionsevozierende Stimuli verschiedener Valenzkategorien (neutral, leicht negative, hoch negative) untersucht. Hierbei wurden sowohl physiologische Parameter (TEMP, HRV, GSR, RSP) als auch die subjektive Einschätzung der Stimuli bezüglich ihrer Valenz und ihres Arousal erhoben. Die Befunde bezüglich Hauttemperatur und HRV-Werte aus Studie 2 konnten in Studie 3 repliziert
werden. Zudem zeigte sich eine akzentuierte Reaktion der RSP sowie höhere Valenz- und Arousalratings in der Patientengruppe. Das subjektiv intensivere Empfinden der Stimuli bei den Patienten hing zusätzlich mit emotionaler und sozialer Kompetenz zusammen.
In dieser Dissertation konnte gezeigt werden, dass Ausdrücke intensiver Emotionen im Gesicht oft als zweideutig wahrgenommen werden. Um ein genaueres Verständnis der Emotionswahrnehmung bei depressiven Menschen zu erlangen, konnten zudem mehrere Parameter des ANS identifiziert werden, die teils noch nicht untersucht wurden und einer intensiveren Emotionswahrnehmung bei depressiven Patienten zugrunde liegen könnten.
Hierbei wurden zusätzlich Zusammenhänge zu weiteren Aspekten der Depression, wie Defiziten in sozialen Kompetenzen, aufgezeigt. Damit gibt diese Dissertation umfassende Aufschlüsse über Emotionsverarbeitungsprozesse bei gesunden und depressiven Menschen.
Introduction:
The evolutionary patterns of symbiotic organisms are inferred using cophylogenetic methods. Congruent phylogenies indicate cospeciation or host-switches to closely-related hosts, whereas incongruent topologies indicate independent speciation. Recent studies suggest that coordinated speciation is a rare event, and may not occur even in the highly specialized associations. The cospeciation hypothesis was mainly tested for free-living mutualistic associations, such as plant-pollinator interactions, and host-parasitic systems but was rarely tested on obligate, mutualistic associations involving intimate physiological interactions. Symbionts with lower partner selectivity may not experience coordinated speciation due to frequent switching of partners. On the other hand, symbionts with high partner selectivity may influence each other’s evolution owing to the highly interdependent lifestyles. Symbiont association patterns are also influenced by habitat and it has been proposed that symbiotic interactions are stronger in warm regions as compared to cooler regions (also referred as latitudinal gradient of biotic specialization). This hypothesis however, has recently been challenged and it has been suggested that a gradient of biotic specialization may not exist at all. Reliable species concepts are a prerequisite for understanding the association and evolutionary patterns of symbiotic organisms. The species concepts of many groups traditionally relied on the morphological species concept, which may not be adequate for distinguishing species due to the: i) homoplasious nature of morphological characters, an due to the inability to distinguish cryptic species. Thus phylogenetic species concept along with coalescent-based species delimitation approaches, which utilize molecular data for inferring species boundaries have been used widely for resolving taxonomic relationships. Lichens are obligatory symbiotic associations consisting of a fungal partner (mycobiont) and one or more photosynthetic partners, algae, and/or cyanobacteria (photobionts). I used the lichen forming fungal genus Protoparmelia as my study system, which consists of ~25-30 previously described species inhabiting different habitats, from the arctic to the tropics. This makes Protoparmelia an ideal system to explore the association and evolutionary patterns across different macrohabitats.
Objectives:
The objectives of this thesis were to 1. Elucidate the phylogenetic position of Protoparmelia within Lecanorales, and infer the monophyly of Protoparmelia; 2. Understand species diversity within Protoparmelia s.str. using coalescent-based species delimitation approaches; and 3. To identify the Trebouxia species associated with Protoparmelia using phylogenetic and species delimitation approaches and to infer the association and cophylogenetic patterns Protoparmelia and Trebouxia in different macrohabitats.
Results and discussion:
Chapter 1: Taxonomic position of Protoparmelia
In the first part of this study I explored the taxonomic position of Protoparmelia within the order Lecanorales. Overall this study included 54 taxa from four families, sequenced at five loci (178 sequences). I found Protoparmelia to be polyphyletic and sister to Parmeliaceae.
Chapter 2: Multilocus phylogeny and species delimitation of Protoparmelia spp.
In this part of the study, I identified and delimited the Protoparmelia species forming a monophyletic clade sister to Parmeliaceae i.e., Protoparmelia sensu stricto group, based on the multilocus phylogeny and coalescent-based species delimitation approaches. I included 18 previously described and three unidentified Protoparmelia species, which represents ~70% of the total described species, and 73 other taxa, sequenced at six loci. I found that the sensu stricto group comprised of 25 supported clades instead of 12 previously described Protoparmelia species. I tested the speciation probabilities of these 25 clades using species delimitation softwares BP&P and spedeSTEM. I found nine previously unrecognized lineages in Protoparmelia and I propose the presence of at least 23 species for Protoparmelia s.str., in contrast to the 12 described species included in the study.
Chapter 3: Association and cophylogenetic patterns of Protoparmelia and its symbiotic partner Trebouxia
...
The topic of this thesis is the investigation of scalar tetraquark candidates from lattice QCD. It is motivated by a previous study originating in the twisted mass collaboration. The initial tetraquark candidate of choice is the $a_0(980)$, an isovector in the nonet of light scalars ($J^P=0^+$). This channel is still poorly understood. It displays an inverted mass hierarchy to what is expected from the conventional quark model and the $a_0(980)$ and $f_0(980)$ feature a surprising mass degeneracy. For this reasons the $a_0(980)$ is a long assumed tetraquark candidate in the literature.
We follow a methodological approach by studying the sensitivity of the scalar spectrum with fully dynamical quarks to a large basis of two-quark and four-quark creation operators. Ultimately, the candidate has to be identified in the direct vicinity of two two-particles states, which is understandably inevitable for a tetraquark candidate. To succeed in this difficult task two-meson creation operators are essential to employ in this channel. By localized four-quark operators we intend to probe the Hamiltonian on eigenstates with a closely bound four-quark structure.
Zur effizienten Beschleunigung von Ionen wird meist nach deren Erzeugung in einer Ionenquelle ein Radio Frequenz Quadrupol verwendet. Die vorliegende Dissertation befasst sich mit Entwicklung, Bau und Messung des Prototyps eines neuartigen Leiter-RFQs, der bei 325 MHz betrieben wird. Der Leiter-RFQ verfügt über ein neuartiges mechanisches Design und versucht die Vorteile der beiden vorrangig im Betrieb befindlichen RFQ Typen, des 4-Rod und 4-Vane RFQs, zu verbinden. Die physikalischen Parameter sind der Spezifikation des RFQs für den geplanten Protonenlinac (p-Linac) am FAIR-Projekt an der GSI Darmstadt entnommen. Darüber hinaus wird der aktuelle Planungs- und Simulationsstand eines modulierten Prototyps mit der vollen Länge von ca. 3,5 m zur Durchführung von Strahltests dargestellt.
Urn models are simple examples for random growth processes that involve various competing types. In the study of these schemes, one is generally interested in the impact of the specific form of interaction on the allocation of elements to the types. Depending on their reciprocal action, effects of cancellation and self-reinforcement become apparent in the long run of the system. For some urn models, the influencing is of a smoothing nature and the asymptotic allocation to the types is close to being a result of independent and identically distributed growth events. On the contrary, for others, almost sure random tendencies or logarithmically periodic terms emerge in the second growth order. The present thesis is devoted to the derivation of central limit theorems in the latter case. For urns of this kind, we use a "non-classical" normalisation to derive asymptotic joint normality of the types. This normalisation takes random tendencies and phases into account and consequently involves random centering and, also, possibly random scaling.
The Facility for Antiproton and Ion Research (FAIR) at GSI Darmstadt will provide unprecedented intensities of protons and heavy ions up to uranium at energies of up to 29 GeV for protons and 2.7 GeV/u for Uranium 28+. To achieve high intensities in the synchrotron accelerators, high beam currents have to be provided by the injector linear accelerators. High current heavy ion beams are provided by the Universal Linear Accelerator (UNILAC), which in its current state will not be able to provide the required FAIR beam currents. This thesis deals with the development of upgrades for the UNILAC to ensure its high current capability. The first improvement is a matching section (MEBT) for the interface between the RFQ and the IH-DTL of the existing high current injector HSI at the UNILAC. With this new MEBT section, particle losses are eliminated and the overall beam quality is improved. As a second improvement, a complete replacement of the existing Alvarez-DTL is presented. A combination of efficient IH-type cavities and KONUS beam dynamics results in a reduction of the linac length from about 60 m (Alvarez) to just 23 m (new IH-DTL) while providing the same energy and fulfilling FAIR requirements of a high beam current and beam quality. This thesis contains a detailed beam dynamics design of the new linac including some fundamental investigations of the KONUS beam dynamics concept. A cross-check of the beam dynamics design was performed with two independent multi-particle simulation codes. Detailed error studies were conducted to investigate the influence of manufacturing, alignment and operating errors on the beam dynamics performance. Additionally, all five linac cavities were designed, optimized, and their RF parameters including power requirements calculated to provide a comprehensive linac design.