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Schriftenreihe
Sonstige beteiligte Institutionen
- Fraunhofer-Institut für Silicatforschung ISC (5)
- Helmholtz Institute for RNA-based Infection Research (HIRI) (5)
- Technische Hochschule Nürnberg Georg Simon Ohm (3)
- Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Raumfahrtsysteme (2)
- EMBL Heidelberg (2)
- Institut für Tierökologie und Tropenbiologie (2)
- Rudolf Virchow Center for Integrative and Translational Bioimaging, University of Würzburg (2)
- Universität Belgrad, Serbien (2)
- Universitätsklinikum Münster (2)
- Universitätsklinikum Würzburg (2)
ResearcherID
- B-1911-2015 (1)
- B-4606-2017 (1)
- C-2593-2016 (1)
- D-1250-2010 (1)
- I-5818-2014 (1)
- J-8841-2015 (1)
- M-1240-2017 (1)
- N-2030-2015 (1)
- N-3741-2015 (1)
EU-Project number / Contract (GA) number
- 311781 (1)
- 320377 (1)
- EU (FP7/ 2007-2013) (1)
Adducing a number of illustrations of Shakespeare's "The Tempest" and "Othello", the purpose of this study is to analyze the transformative processes that took place in the 18th and 18th centuries in Great Britain, regarding the cultural, political and social aspects of its encounters with the other. In this context, especially the depiction of the characters Caliban and Othello are taken into consideration.
Chemical neurotransmission is a complex process of central importance for nervous system function. It is thought to be mediated by the orchestration of hundreds of proteins for its successful execution. Several synaptic proteins have been shown to be relevant for neurotransmission and many of them are highly conserved during evolution- suggesting a universal mechanism for neurotransmission. This process has checkpoints at various places like, neurotransmitter uptake into the vesicles, relocation of the vesicles to the vicinity of calcium channels in order to facilitate Ca2+ induced release thereby modulating the fusion probability, formation of a fusion pore to release the neurotransmitter and finally reuptake of the vesicles by endocytosis. Each of these checkpoints has now become a special area of study and maintains its own importance for the understanding of the overall process. Ca2+ induced release occurs at specialized membrane structures at the synapse known as the active zones. These are highly ordered electron dense grids and are composed of several proteins which assist the synaptic vesicles in relocating in the vicinity of Ca2+ channels thereby increasing their fusion probability and then bringing about the vesicular fusion itself. All the protein modules needed for these processes are thought to be held in tight arrays at the active zones, and the functions of a few have been characterized so far at the vertebrate active zones. Our group is primarily interested in characterizing the molecular architecture of the Drosophila synapse. Due to its powerful genetics and well-established behavioural assays Drosophila is an excellent system to investigate neuronal functioning. Monoclonal antibodies (MABs) from a hybridoma library against Drosophila brain are routinely used to detect novel proteins in the brain in a reverse genetic approach. Upon identification of the protein its encoding genetic locus is characterized and a detailed investigation of its function is initiated. This approach has been particularly useful to detect synaptic proteins, which may go undetected in a forward genetic approach due to lack of an observable phenotype. Proteins like CSP, Synapsin and Sap47 have been identified and characterized using this approach so far. MAB nc82 has been one of the shortlisted antibodies from the same library and is widely used as a general neuropil marker due to the relative transparency of immunohistochemical whole mount staining obtained with this antibody. A careful observation of double stainings at the larval neuromuscular junctions with MAB nc82 and other pre and post-synaptic markers strongly suggested an active zone localization of the nc82 antigen. Synaptic architecture is well characterized in Drosophila at the ultrastructural level. However, molecular details for many synaptic components and especially for the active zone are almost entirely unknown. A possible localization at the active zone for the nc82 antigen served as the motivation to initiate its biochemical characterization and the identification of the encoding gene. In the present thesis it is shown by 2-D gel analysis and mass spectrometry that the nc82 antigen is a novel active zone protein encoded by a complex genetic locus on chromosome 2R. By RT-PCR exons from three open reading frames previously annotated as separate genes are demonstrated to give rise to a transcript of at least 5.5 kb. Northern blots produce a prominent signal of 11 kb and a weak signal of 2 kb. The protein encoded by the 5.5 kb transcript is highly conserved amongst insects and has at its N-terminus significant homology to the previously described vertebrate active zone protein ELKS/ERC/CAST. Bioinformatic analysis predicts coiled-coil domains spread all over the sequence and strongly suggest a function involved in organizing or maintaining the structure of the active zone. The large C-terminal region is highly conserved amongst the insects but has no clear homologues in veretebrates. For a functional analysis of this protein transgenic flies expressing RNAi constructs under the control of the Gal4 regulated enhancer UAS were kindly provided by the collaborating group of S.Sigrist (Gِttingen). A strong pan-neuronal knockdown of the nc82 antigen by transgenic RNAi expression leads to embryonic lethality. A relatively weaker RNAi expression results in behavioural deficits in adult flies including unstable flight and impaired walking behavior. Due to this peculiar phenotype as observed in the first knockdown studies the gene was named “bruchpilot” (brp) encoding the protein “Bruchpilot (BRP)” (German for crash pilot). A pan-neuronal as well as retina specific downregulation of this protein results in loss of ON and OFF transients in ERG recordings indicating dysfunctional synapses. Retina specific downregulation also shows severely impaired optomotor behaviour. Finally, at an ultrastructural level BRP downregulation seems to impair the formation of the characteristic T-shaped synaptic ribbons at the active zones without significantly altering the overall synaptic architecture (in collaboration with E.Asan). Vertebrate active zone protein Bassoon is known to be involved in attaching the synaptic ribbons to the active zones as an adapter between active zone proteins RIBEYE and ERC/CAST. A mutation in Bassoon results in a floating synaptic ribbon phenotype. No protein homologous to Bassoon has been observed in Drosophila. BRP downregulation also results in absence of attached synaptic ribbons at the active zones. This invites the speculation of an adapter like function for BRP in Drosophila. However, while Bassoon mutant mice are viable, BRP deficit in addition to the structural phenotype also results in severe behavioural and physiological anomalies and even stronger downregulation causes embryonic lethality. This therefore suggests an additional and even more important role for BRP in development and normal functioning of synapses in Drosophila and also in other insects. However, how BRP regulates synaptic transmission and which other proteins are involved in this BRP dependant pathway remains to be investigated. Such studies certainly will attract prominent attention in the future.
In the 1960s, when most African nations gained their independence after the age of colonialism, several theories and strategies emerged with the goal of "developing" these apparently "underdeveloped" territories. One of the most influential approaches for this task was represented in Julius K. Nyerere´s idea of Ujamaa, the Tanzanian version of African socialism.
Even before the Arusha Declaration established Ujamaa as a national development strategy in 1967, several groups of politicized young farmers took to the empty countryside of Tanzania to implement their own version of cooperative development. From one of these attempts emerged the Ruvuma Development Association (RDA), which organized up to 18 villages in southwestern Tanzania. The RDA became the inspiration for Nyerere´s concretization of Ujamaa and its implementation on national level. Yet, the central state could not replicate the success of the peasants, which was based on voluntariness and intrinsic motivation.
In 2015, this exploratory study has revisited the Region of Ruvuma. Through a case study approach, relying mostly on qualitative methods, new insights into the local history of Ujamaa and its perception have been gathered. In particular, narrative interviews with contemporary witnesses and group interviews with the present-day farmers’ groups have been conducted. Furthermore, NGOs active within the region, as well as regional and local government institutions were among the key stakeholders identified to concretize the local narrative of Ujamaa development. All interviews were analyzed according to the principles of qualitative content analysis. Additionally, individual villager questionnaires were used to achieve a more holistic picture of the local perception of development, challenges and the Ujamaa era.
None of the original Ujamaa groups of the times of the RDA was still operational at the time of research and no case of village-wide organization of collective agriculture could be observed. Nevertheless, in all of the three case study villages, several farmers’ groups (vikundi) were active in organizing development activities for their members. Furthermore, the perception of the Ujamaa era was generally positive throughout all of the case study sites. Yet, there have been significant differences in this perception, based on the village, age, gender and field size of the recipients. Overall, the period of Ujamaa was seen as an inspiration for present-day group activities, and the idea of such activities as a remedy for the developmental challenges of these villages was common among all stakeholders.
This thesis concludes that the positive perception of group activities as a vehicle for village development and the perception of Ujamaa history as a positive asset for the inception and organization of farmers’ groups would be highly beneficial to further attempts to support such development activities. However, the limitations in market access and capital availability for these highly-motivated group members have to be addressed by public and private development institutions. Otherwise, "the smell of Ujamaa" will be of little use for the progress of these villages.
Chapter 1
Thermally activated delayed fluorescence (TADF) materials provide a strategy to improve external quantum efficiencies of organic light emitting diodes (OLEDs). Because of spin-statistics, 25% singlet and 75% triplet excitons are generated in an electronic device. Conventional organic emitters cannot harvest the triplet excitons, due to low spin orbit coupling, and exhibit low external quantum efficiencies. TADF materials have to be designed in such a way, that the energy gap between the lowest singlet and triplet states (ΔES-T) is sufficiently small to allow reverse intersystem crossing (rISC) in organic systems. An established structure property relationship for the generation of TADF materials is the spatial separation of HOMO and LUMO via an orthogonal arrangement of donor and acceptor in donor-π-acceptor (D-π-A) compounds. This is achieved by increasing the steric bulk of the π-bridge. However, this is not always the most efficient method and electronic parameters have to be considered. In a combined experimental and theoretical study, a computational protocol to predict the excited states in D-π-A compounds containing the B(FXyl)2 (FXyl = 2,6-bis(trifluoromethyl)phenyl) acceptor group for the design of new TADF emitters is presented. To this end, the effect of different donor and π-bridge moieties on the energy gaps between local and charge-transfer singlet and triplet states was examined. To prove the computationally aided design concept, the D-π-B(FXyl)2 compounds Cbz-π (1), Cbz-Meπ (2), Phox-Meπ (3), Phox-MeOπ (4), and MeO₃Ph-FMeπ (5) were synthesized and fully characterized. The photophysical properties of these compounds in various solvents, polymeric film and in a frozen matrix were investigated in detail and show excellent agreement with the computationally obtained data (Figure 5.1). A simple structure-property relationship based on the molecular fragment orbitals of the donor and the π-bridge which minimize the relevant singlet-triplet gaps to achieve efficient TADF emitters is presented.
Chapter 2
Three-coordinate boron is widely used as an acceptor in conjugated materials. In recent years the employment of trifluoromethylated aryls was shown to improve the acceptor properties of such boranes. Astonishingly, the use of ortho-trifluoromethylated aryls in boron containing systems also improves the stability of those systems in regard to their inherent reactivity towards nucleophiles. Borafluorenes are stronger acceptors than their non-annulated triarylborane derivatives. In previous studies, the effect of trifluoromethylated aryls as the exo-aryl moieties in borafluorenes, as well as the effect of fluorination on the backbone, were examined. As the latter suffers from a very low stability, systems using trifluoromethyl groups, both on the exo-aryl as well as the borafluorene backbone were designed in order to maximize both the stability as well as the acceptor strength.
Three different perfluoroalkylated borafluorenes were prepared and their electronic and photophysical properties were investigated. The systems have four trifluoromethyl moieties on the borafluorene moiety as well as two trifluoromethyl groups at the ortho positions of their exo-aryl moieties. They differ with regard to the para-substituents on their exo-aryl moieties, being a proton (FXylFBf), a trifluoromethyl group (FMesFBf) or a dimethylamino group (p NMe2-FXylFBf), respectively. Furthermore, an acetonitrile adduct of FMesFBf was obtained and characterized. All derivatives exhibit extraordinarily low reduction potentials, comparable to those of perylenediimides. The most electron deficient derivative FMesFBf was also chemically reduced and its radical anion isolated and characterized. Furthermore, the photophysical properties of all compounds were investigated. All compounds exhibit weakly allowed lowest energy absorptions and very long fluorescent lifetimes of ca. 250 ns up to 1.6 μs; however, the underlying mechanisms differ. The donor substituted derivative p-NMe2-FXylFBf exhibits thermally activated delayed fluorescence from a charge transfer (CT) state, while the FMesFBf and FXylFBf borafluorenes exhibit only weakly allowed locally excited (LE) transitions due to their symmetry and low transition dipole moments, as suggested by DFT and TD-DFT calculations.
Chapter 3
Conjugated dendrimers find wide application in various fields, such as charge transport/storage or emitter materials in organic solar cells or OLEDs. Previous studies on boron containing conjugated dendrimers are scarce and mostly employ a convergent synthesis approach, lacking a simple, generally applicable synthetic access. A new divergent approach was designed and conjugated triarylborane dendrimers were synthesized up to the 2nd generation. The synthetic strategy consists of three steps:
1) functionalization, via iridium catalyzed C–H borylation;
2) activation, via fluorination of the generated boronate ester with K[HF2] or [N(nBu)4][HF2]; and
3) expansion, via reaction of the trifluoroborate salts with aryl Grignard reagents.
The concept was also shown to be viable for a convergent approach. All but one of the conjugated borane dendrimers exhibit multiple, distinct and reversible reduction potentials, making them potentially interesting materials for applications in molecular accumulators (Figure 5.7).
Based on their photophysical properties, the 1st generation dendrimers exhibit good conjugation over the whole system. The conjugation does not further increase upon expansion to the 2nd generation, but the molar extinction coefficients increase linearly with the number of triarylborane sub-units, suggesting a potential application as photonic antennas.
Chapter 4
A surprisingly high electronically-driven regioselectivity for the iridium-catalyzed C–H borylation using [Ir(COD)OMe]2 (COD = 1,5-cyclooctadiene) as the precatalytic species, bis(pinacolato)diboron (B2pin2) as the boron source and 4,4’-ditertbutyl-2,2’-bipyridin (dtbpy) as the ligand of D-π-A systems with diphenylamino (1) or carbazolyl (2) moieties as the donor, bis(2,6-bis(trifluoromethyl)phenyl)boryl (B(FXyl)2) as the acceptor, and 1,4-phenylene as the π-bridge was observed. Under these conditions, borylation was observed only at the sterically least encumbered para-positions of the acceptor groups. As boronate esters are versatile building blocks for organic synthesis (C–C coupling, functional group transformations), the C–H borylation represents a simple potential method for post-functionalization by which electronic or other properties of D-π-A systems can be fine-tuned for specific applications. The photophysical and electrochemical properties of the borylated (1-(Bpin)2) and unborylated (1) diphenylamino-substituted D-π-A systems were investigated. Interestingly, the borylated derivative exhibits coordination of THF to the boronate ester moieties, influencing the photophysical properties and exemplifying the non-innocence of boronate esters.
In food and pharmaceutical analysis, the classical indices peroxide value (PV), acid value (AV) and p-anisidine value (ANV) still play an important role as quality and authenticity control parameters of fats and oils. These indices are sum parameters for certain deterioration products (PV for hydroperoxides, AV for free fatty acids, ANV for aldehydes) and are obtained using volumetric or UV/VIS spectroscopic analytical approaches. 1H NMR spectroscopy provides a fast and simple alternative to these classical approaches. In the present work, novel 1H NMR methods to determine hydroperoxides, free fatty acids and aldehydes in fats and oils were developed.
Hydroperoxides:
The influence of solvent, water, free fatty acids and sample weight on the hydroperoxide group proton (OOH) signal was investigated. On the basis of the obtained results, the sample preparation procedure of the new 1H NMR method was established. A rough assignment of the hydroperoxide group signals in edible fats and oils to methyl oleate, methyl linoleate and methyl linolenate was conducted. Furthermore, to gain information on how many different hydroperoxide species originate from trioleate autoxidation, a kinetic study on trioleate monohydroperoxides was performed. The evaluation of the data strongly indicates that all of the conceivable 18 trioleate monohydroperoxides were formed during trioleate autoxidation. The analytical performance of the NMR method was compared to that of the classical PV approach by means of the so-called “relative sensitivity” according to Mandel. It was shown that both methods exhibit a similar analytical performance. A total of 444 edible oil samples were analysed using both methods. For some oil varieties considerable discrepancies were found between the results. In the case of black seed oil and olive oil two substances were identified that influence the classical PV determination and thus cause positive (black seed oil) and negative (olive oil) deviations from the theoretical PV expected from the NMR values.
Free fatty acids:
In order to find the optimal solvent mixture to measure the carboxyl group protons (COOH) of free fatty acids in fats and oils, the effect of solvent on the COOH signal was investigated for different mixtures of CDCl3 and DMSO-d6. The comparison of the NMR method with the classical AV method by means of the relative sensitivity revealed that both methods exhibit a similar analytical performance. 420 edible oil samples were analysed by both approaches. Except for pumpkin seed oil, where slight deviations were observed, there was a good compliance between the results obtained from the two methods. Furthermore, the applicability of the 1H NMR assay to further lipids with relevance in pharmacy was tested. For hard fat, castor oil, waxes and oleyl oleate modifications of the original sample preparation procedure of the NMR method were necessary to achieve comparable results for both methods.
Aldehydes:
The new 1H NMR method enables the determination of the molar amounts of n-alkanals, (E)-2-alkenals and (E,E)-2,4-alkadienals. It was illustrated that the ANV can be modelled as a linear combination of the NMR integrals of these aldehyde species. A functional relationship was derived on the basis In conclusion, the new 1H NMR methods provide an excellent alternative to of calibration experiments. The suitability of the model was shown by comparing the NMR-determined ANVs with the measured classical ANVs of 79 commercially available edible oils of different oil types.
In conclusion, the new 1H NMR methods provide an excellent alternative to the determination of the classical indices PV, AV and ANV. They have several advantages over the classical methods including the consumption of small solvent amounts, the ability to automatize measurement and to acquire several different parameters out of the same NMR spectrum. Especially concerning their selectivity, the 1H NMR methods are highly superior to the classical methods.
Single molecule localization microscopy has seen a remarkable growth since its first
experimental implementations about a decade ago. Despite its technical challenges,
it is already widely used in medicine and biology and is valued as a unique tool
to gain molecular information with high specificity. However, common illumination techniques do not allow the use of single molecule sensitive super-resolution
microscopy techniques such as direct stochastic optical reconstruction microscopy
(dSTORM) for whole cell imaging. In addition, they can potentially alter the
quantitative information.
In this thesis, I combine dSTORM imaging in three dimensions with lattice lightsheet illumination to gain quantitative molecular information from cells unperturbed by the illumination and cover slip effects. Lattice light-sheet illumination
uses optical lattices for beam shaping to restrict the illumination to the detectable
volume. I describe the theoretical background needed for both techniques and detail
the experimental realization of the system as well as the software that I developed
to efficiently evaluate the data.
Eventually, I will present key datasets that demonstrate the capabilities of the
developed microscope system with and without dSTORM. My main goal here was
to use these techniques for imaging the neural cell adhesion molecule (NCAM, also
known as CD56) in whole cells. NCAM is a plasma membrane receptor known to
play a key role in biological processes such as memory and learning. Combining
dSTORM and lattice light-sheet illumination enables the collection of quantitative
data of the distribution of molecules across the whole plasma membrane, and shows
an accumulation of NCAM at cell-cell interfaces. The low phototoxicity of lattice
light-sheet illumination further allows for tracking individual NCAM dimers in living cells, showing a significant dependence of its mobility on the actin skeleton of
the cell.
Chlamydia trachomatis (Ct) is an obligate intracellular human pathogen. It causes blinding trachoma and sexually transmitted disease such as chlamydia, pelvic inflammatory disease and lymphogranuloma venereum. Ct has a unique biphasic development cycle and replicates in an intracellular vacuole called inclusion. Normally it has two forms: the infectious form, elementary body (EB); and the non-infectious form, reticulate body (RB). Ct is not easily amenable to genetic manipulation. Hence, to understand the infection process, it is crucial to study how the metabolic activity of Ct exactly evolves in the host cell and what roles of EB and RB play differentially in Ct metabolism during infection. In addition, Ct was found regularly coinfected with other pathogens in patients who got sexually transmitted diseases (STDs). A lack of powerful methods to culture Ct outside of the host cell makes the detailed molecular mechanisms of coinfection difficult to study.
In this work, a genome-scale metabolic model with 321 metabolites and 277 reactions was first reconstructed by me to study Ct metabolic adaptation in the host cell during infection. This model was calculated to yield 84 extreme pathways, and metabolic flux strength was then modelled regarding 20hpi, 40hpi and later based on a published proteomics dataset. Activities of key enzymes involved in target pathways were further validated by RT-qPCR in both HeLa229 and HUVEC cell lines. This study suggests that Ct's major active pathways involve glycolysis, gluconeogenesis, glycerolphospholipid biosynthesis and pentose phosphate pathway, while Ct's incomplete tricarboxylic acid cycle and fatty acid biosynthesis are less active. EB is more activated in almost all these carbohydrate pathways than RB. Result suggests the survival of Ct generally requires a lot of acetyl-CoA from the host. Besides, both EB and RB can utilize folate biosynthesis to generate NAD(P)H but may use different pathways depending on the demands of ATP. When more ATP is available from both host cell and Ct itself, RB is more activated by utilizing energy providing chemicals generated by enzymes associated in the nucleic acid metabolism. The forming of folate also suggests large glutamate consumption, which is supposed to be converted from glutamine by the glutamine-fructose-6-phosphate transaminase (glmS) and CTP synthase (pyrG).
Then, RNA sequencing (RNA-seq) data analysis was performed by me in a coinfection study. Metatranscriptome from patient RNA-seq data provides a realistic overview. Thirteen patient samples were collected and sequenced by our collaborators. Six male samples were obtained by urethral swab, and seven female samples were collected by cervicovaginal lavage. All the samples were Neisseria gonorrhoeae (GC) positive, and half of them had coinfection with Ct. HISAT2 and Stringtie were used for transcriptomic mapping and assembly respectively, and differential expression analysis by DESeq2, Ballgown and Cuffdiff2 are parallelly processed for comparison. Although the measured transcripts were not sufficient to assemble Ct's transcriptome, the differential expression of genes in both the host and GC were analyzed by comparing Ct positive group (Ct+) against Ct-uninfected group. The results show that in the Ct+ group, the host MHC class II immune response was highly induced. Ct infection is associated with the regulation of DNA methylation, DNA double-strand damage and ubiquitination. The analysis also shows Ct infection enhances host fatty acid beta oxidation, thereby inducing mROS, and the host responds to reduce ceramide production and glycolysis. The coinfection upregulates GC's own ion transporters and amino acid uptake, while it downregulates GC's restriction and modification systems. Meanwhile, GC has the nitrosative and oxidative stress response and also increases the ability for ferric uptake especially in the Ct+ group compared to Ct-uninfected group.
In conclusion, methods in bioinformatics were used here in analyzing the metabolism of Ct itself, and the responses of the host and GC respectively in a coinfection study with and without Ct. These methods provide metabolic and metatranscriptomic details to study Ct metabolism during infection and Ct associated coinfection in the human microbiota.
Clostridioides difficile is a bacterial species well known for its ability to cause C. difficile
infection (also known as CDI). The investigation of the role of this species in the human
gut has been so far dominated by a disease-centred perspective, focused on studying
C. difficile in relation to its associated disease.
In this context, the first aim of this thesis was to combine publicly available
metagenomic data to analyse the microbial composition of stool samples from patients
diagnosed with CDI, with a particular focus on identifying a CDI-specific microbial
signature.
However, similarly to many other bacterial species inhabiting the human gut, C.
difficile association with disease is not valid in absolute terms, as C. difficile can be
found also among healthy subjects. Further aims of this thesis were to 1) identify
potential C. difficile reservoirs by screening a wide range of habitats, hosts, body sites
and age groups, and characterize the biotic context associated with C. difficile
presence, and 2) investigate C. difficile within-species diversity and its toxigenic
potential across different age groups.
The first part of the thesis starts with the description of the concepts and
definitions used to identify bacterial species and within-species diversity, and then
proceeds to provide an overview of the bacterial species at the centre of my
investigation, C. difficile. The first Chapter includes a detailed description of the
discovery, biology and physiology of this clinically relevant species, followed by an
overview of the diagnostic protocols used in the clinical setting to diagnose CDI.
The second part of the thesis describes the methodology used to investigate
the questions mentioned above, while the third part presents the results of such
investigative effort. I first show that C. difficile could be found in only a fraction of the
CDI samples and that simultaneous colonization of multiple enteropathogenic species
able to cause CDI-like clinical manifestations is more common than previously
thought, raising concerns about CDI overdiagnosis. I then show that the CDIassociated
gut microbiome is characterized by a specific microbial signature,
distinguishable from the community composition associated with non-CDI diarrhea.
Beyond the nosocomial and CDI context, I show that while rarely found in adults, C.
difficile is a common member of the infant gut microbiome, where its presence is
associated with multiple indicators typical of a desirable healthy microbiome
development.
In addition, I describe C. difficile extensive carriage among asymptomatic
subjects, of all age groups and a potentially novel clade of C. difficile identified
exclusively among infants.
Finally, I discuss the limitations, challenges and future perspectives of my
investigation.
Plexus injury often occurs after motor vehicle accidents and results in lifelong disability with severe neuropathic pain. Surgical treatment can partially restore motor functions, but sensory loss and neuropathic pain persist. Regenerative medicine concepts, such as cell replacement therapies for restoring dorsal root ganglia (DRG) function, set high expectations. However, up to now, it is unclear which DRG cell types are affected by nerve injury and can be targeted in regenerative medicine approaches.
This study followed the hypothesis that satellite glial cells (SGCs) might be a suitable endogenous cell source for regenerative medicine concepts in the DRG. SGCs originate from the same neural crest-derived cell lineage as sensory neurons, making them attractive for neural repair strategies in the peripheral nervous system. Our hypothesis was investigated on three levels of experimentation. First, we asked whether adult SGCs have the potential of sensory neuron precursors and can be reprogrammed into sensory neurons in vitro. We found that adult mouse DRG harbor SGC-like cells that can still dedifferentiate into progenitor-like cells. Surprisingly, expression of the early developmental transcription factors Neurog1 and Neurog2 was sufficient to induce neuronal and glial cell phenotypes. In the presence of nerve growth factor, induced neurons developed a nociceptor-like phenotype expressing functional nociceptor markers, such as the ion channels TrpA1, TrpV1 and NaV1.9. In a second set of experiments, we used a rat model for peripheral nerve injury to look for changes in the DRG cell composition. Using an unbiased deep learning-based approach for cell analysis, we found that cellular plasticity responses after nerve injury activate SGCs in the whole DRG. However, neither injury-induced neuronal death nor gliosis was observed. Finally, we asked whether a severe nerve injury changed the cell composition in the human DRG. For this, a cohort of 13 patients with brachial plexus injury was investigated. Surprisingly, in about half of all patients, the injury-affected DRG showed no characteristic DRG tissue. The complete entity of neurons, satellite cells, and axons was lost and fully replaced by mesodermal/connective tissue. In the other half of the patients, the basic cellular entity of the DRG was well preserved. Objective deep learning-based analysis of large-scale bioimages of the “intact” DRG showed no loss of neurons and no signs of gliosis.
This study suggests that concepts for regenerative medicine for restoring DRG function need at least two translational research directions: reafferentation of existing DRG units or full replacement of the entire multicellular DRG structure. For DRG replacement, SGCs of the adult DRG are an attractive endogenous cell source, as the multicellular DRG units could possibly be rebuilt by transdifferentiating neural crest-derived sensory progenitor cells into peripheral sensory neurons and glial cells using Neurog1 and Neurog2.
This thesis provides an edition and commentary of a manuscript discovered by Michael Stolberg in the archives of the central library in Zurich under the title “Mon aprendisage à l'Hôtel Dieu de Paris 1704.” (My apprenticeship at the Hôtel-Dieu de Paris 1704). The manuscript contains records of a midwifery student at the Hôtel-Dieu de Paris, an old hospital famous among others for its education in midwifery in the maternity ward. We read about managing different births, recipes for common remedies, direct questions answered by the maîtresse sage-femme, the leading midwife at the Hôtel-Dieu de Paris and more.
Although other accounts exist of the maternity ward at the Hôtel-Dieu de Paris, \(Mon\) \(Aprendisage\) is the first and only account from a midwife’s perspective that gives more than just instructions on obstetrical techniques. It takes us into the day-to-day experience of a woman as she progressed through her training at the Hôtel-Dieu.
A closer look at long-established drugs: enantioselective protein binding and stability studies
(2023)
The aim of this work was to investigate older, established drugs. The extent of the protein binding of chiral ephedra alkaloids to AGP and of ketamine to albumin was determined. Since enantiomers of these drugs are individual available, the focus was on possible enantioselective binding and structural moieties involved in the binding.
Previously published work suggested that ephedrine and pseudoephedrine can bind stereoselectively to proteins other than albumin in serum. For the determination of the extent of protein binding, the established ultrafiltration with subsequent chiral CE analysis was used. To determine the influence of basicity on binding, the drugs methylephedrine and norephedrine were also analyzed. Drug binding to AGP increased with increasing basicity as follows: norephedrine < methylephedrine < ephedrine < pseudoephedrine. pKaff was determined both graphically using the Klotz plot and mathematical indicating a low affinity of the ephedra alkaloids to AGP. Using STD-NMR spectroscopy experiments the aromatic protons and the C-CH3 side chain were shown to be most strongly involved in binding, which could be confirmed by molecular docking experiments in more detail. For all drugs, van der Waals-, π π , cationic interactions, hydrogen bonds, and a formation of a salt bridge were observed. The individual enantiomers showed no significant differences and thus the binding of ephedra alkaloids to AGP is not significant.
In contrast to the ephedra alkaloids, the possible enantioselective binding to albumin was investigated for R and S ketamine. Again, ultrafiltration followed by CE analysis was performed. The binding of ketamine to one main binding site could be identified. A non-linear fit was used for the determination of pKaff. Using the NMR methods STD-NMR, waterLOGSY-NMR, and CPMG-NMRspectroscopy: the aromatic protons as well as the protons of the NCH3 methyl group showed the largest signal intensity changes, while the cyclohexanone protons showed the smallest changes. pKaff was also determined by the change in the chemical shift at different drug-protein ratios. These obtained values confirm the values obtained from ultrafiltration. Based on this, ketamine is classified as a low-affinity ligand to albumin. There were no significant differences between the individual enantiomers and thus the binding of ketamine to albumin is not a stereoselective process.
Using statistical design of experiments an efficient chiral CE method for determining the extent of protein binding of R and S ketamine to albumin was developed and validated according to ICH Q2 (R1) guideline.
The stability of ketamine was also investigated because a yellowish discoloration of an aqueous solution of ketamine developed under heat. XRPD investigations showed the same crystal structure for all batches examined. An untargeted screening using LC HRMS as well as LC UV measurements showed no degradation of ketamine or the presence of impurities in stress and non-stressed ketamine solutions, confirming the stability of ketamine under the stress conditions investigated. The lower the quality of the water used in the stress tests, the more intense the yellow discoloration occurred. The impurity or the mechanism that causes the yellow discoloration could not be identified.
The superconducting properties of complex materials like the recently discovered iron-pnictides or strontium-ruthenate are often governed by multi-orbital effects. In order to unravel the superconductivity of those materials, we develop a multi-orbital implementation of the functional renormalization group and study the pairing states of several characteristic material systems. Starting with the iron-pnictides, we find competing spin-fluctuation channels that become attractive if the superconducting gap changes sign between the nested portions of the Fermi surface. Depending on material details like doping or pnictogen height, these spin fluctuations then give rise to $s_{\pm}$-wave pairing with or without gap nodes and, in some cases, also change the symmetry to $d$-wave. Near the transition from nodal $s_{\pm}$-wave to $d$-wave pairing, we predict the occurrence of a time-reversal symmetry-broken $(s+id)$-pairing state which avoids gap nodes and is therefore energetically favored. We further study the electronic instabilities of doped graphene, another fascinating material which has recently become accessible and which can effectively be regarded as multi-orbital system. Here, the hexagonal lattice structure assures the degeneracy of two $d$-wave pairing channels, and the system then realizes a chiral $(d+id)$-pairing state in a wide doping range around van-Hove filling. In addition, we also find spin-triplet pairing as well as an exotic spin-density wave phase which both become leading if the long-ranged hopping or interaction parameters are slightly modified, for example, by choosing different substrate materials. Finally, we consider the superconducting state of strontium-ruthenate, a possible candidate for chiral spin-triplet pairing with fascinating properties like the existence of half-quantum vortices obeying non-Abelian statistics. Using a microscopic three orbital description including spin-orbit coupling, we demonstrate that ferromagnetic fluctuations are still sufficient to induce this $\bs{\hat{z}}(p_x\pm ip_y)$-pairing state. The resulting superconducting gap reveals strong anisotropies on the $d_{xy}$-dominated Fermi-surface pocket and nearly vanishes on the other remaining two pockets.
The greatest problems faced during the 21st century is climate change which is a big threat to food security due to increasing number of people. The increase in extreme weather events, such as drought and heat, makes it difficult to cultivate conventional crops that are not stress tolerant. As a result, increasing irrigation of arable land leads to additional salinization of soils with plant-toxic sodium and chloride ions. Knowledge about the adaptation strategies of salt-tolerant plants to salt stress as well as detailed knowledge about the control of transpiration water loss of these plants are therefore important to guarantee productive agriculture in the future. In the present study, I have characterized salt sensitive and salt tolerant plant species at physiological, phenotypic and transcriptomic level under short (1x salt) and long-time (3x) saline growth conditions. Two approaches used for long-time saline growth conditions (i.e increasing saline conditions (3x salt) and constant high saline conditions (3x 200 mM salt) were successfully developed in the natural plant growth medium i.e soil. Salt sensitive plants, A. thaliana, were able to survive and successfully set seeds at the toxic concentrations on the increasing saline growth mediums, with minor changes in the phenotype. However, under constant high saline conditions they could not survive. This was due to keeping low potassium, and high salt ions (sodium and chloride) in the photosynthetic tissue i.e leaf. Similarly, high potassium and low salt ions in salt tolerant T. salsuginea on both saline environments were the key for survival of this plant species. Being salt tolerant, T. salsuginea always kept high potassium levels and low sodium (during 1x) and chloride levels (during both 1x and 3x) in the leaf tissue.
A strict control over transpirational water loss via stomata (formed by pair of guard cells) is important to maintain plant water balance. Aperture size of the stomata is regulated by the turgidity of the guard cells. More turgid the guard cells, bigger the apertures are and hence more transpiration. Under osmotic stress, the water loss is reduced which was evident in the salt sensitive A. thaliana plants under both short and long-time saline growth conditions. As the osmotic stress was only increased during long time saline growth conditions in T. salsuginea therefore, water loss was also decreased only under these saline conditions. Environmental CO2 assimilation also takes place via stomata in plants which then is used for photosynthesis. Stomatal apertures also influence CO2 assimilation. As the light absorbing photosynthetic pigments were more affected in A. thaliana, therefore photosynthetic activity of the whole plant was also reduced. Similarly, both short and long-time saline growth conditions also reduced the effective quantum yield of A. thaliana guard cells. Growth of the plant is dependent on energy which comes from photosynthesis. Reduced environmental CO2 assimilation would affect photosynthesis and hence growth, which was clearly observed in A. thaliana guard cells under long-time saline growth conditions.
Major differences in both guard cells types were observed in their chloride and potassium levels. Energy Dispersive X-Ray Analysis (EDXA) suggested strict control of chloride accumulation in T. salsuginea guard cells as the levels remain unchanged under all conditions. Similarly, use of sodium in place of potassium for osmotic adjustments seems to be dependent on Na+/K+ rations in both guard cell types. Increased salt ions and reduced potassium levels in A. thaliana guard cells posed negative effect on photochemistry which in turn increased ROS metabolism and reduced energy related pathways at transcriptomic level in this plant species. Moreover, photosynthesis was strongly affected in A. thaliana guard cells both at transcriptomic and physiological levels. Similarly, global phytohormones induced changes were more evident in A. thaliana guard cells especially on 3x salt medium. Among all phytohormones, genes under the control of auxin were more differentially expressed in A. thaliana guard cells which suggests wide changes in growth and development in this plant species under salinity.
Phytohormone, ABA is vital for closing the stomata under abiotic stress conditions. Increased levels of ABA during saline conditions led to efflux of potassium and counter anions (chloride, malate, nitrate) from the guard cells which caused the outward flow of water and hence reduction in turgor pressure. Reduced turgor pressure led to reduced water loss and CO2 assimilation especially in A. thaliana. Guard cells of both plant species synthesized ABA during saline conditions which was reflected from transcriptomic data and ABA quantification in the guard cells. ABA induced signaling in both plant species varied at the ABA receptor (PYL/PYR) levels where totally contrasting responses were observed. PYL2, PYL8 and PYL9 were specific to A. thaliana, furthermore, PYL2 was found to be differentially expressed only under 3x salt growth conditions thus suggesting its role during long term salt stress in this plant species. Protein phosphatases, which negatively regulate ABA signaling on one hand and act as ABA sensor on the other hand were found to be more differentially expressed in A. thaliana than T. salsuginea guard cells, which suggests their diverse role in both plant species under saline conditions. Differential expression of more ABA signaling players in long time saline conditions was prominent which could be because of darkness, as it is well known that rapid closure of stomata under dark conditions require ABA signaling. Moreover, representation of these components in dark also suggests that plants become more sensitive to dark under saline conditions which is also evident from the transpiration rates.
Altogether, increased salt ions in A. thaliana guard cells and leaves led to pigment degradation and ABA induced reduction in transpiration which in turn influenced its growth. In contrast, T. salsuginea is the salt excluder and therefore keeps low levels of salt ions especially the chloride both in leaves and guard cells which mildly affects its growth. Guard cells of A. thaliana encounter severe energy problems at physiological and transcriptomic level. Main differences in the ABA signalling between both plant species were observed at the ABA receptor level.
Summary
Bees, like many other organisms, evolved an endogenous circadian clock, which enables them to foresee daily environmental changes and exactly time foraging flights to periods of floral resource availability. The social lifestyle of a honey bee colony has been shown to influence circadian behavior in nurse bees, which do not exhibit rhythmic behavior when they are nursing. On the other hand, forager bees display strong circadian rhythms. Solitary bees, like the mason bee, do not nurse their offspring and do not live in hive communities, but face the same daily environmental changes as honey bees. Besides their lifestyle mason and honey bees differ in their development and life history, because mason bees overwinter after eclosion as adults in their cocoons until they emerge in spring. Honey bees do not undergo diapause and have a relatively short development of a few weeks until they emerge. In my thesis, I present a comparison of the circadian clock of social honey bees (Apis mellifera) and solitary mason bees (Osmia bicornis and Osmia cornuta) on the neuroanatomical level and behavioral output level.
I firstly characterized in detail the localization of the circadian clock in the bee brain via the expression pattern of two clock components, namely the clock protein PERIOD (PER) and the neuropeptide Pigment Dispersing Factor (PDF), in the brain of honey bee and mason bee. PER is localized in lateral neuron clusters (which we called lateral neurons 1 and 2: LN1 and LN2) and dorsal neuron clusters (we called dorsal lateral neurons and dorsal neurons: DLN, DN), many glia cells and photoreceptor cells. This expression pattern is similar to the one in other insect species and indicates a common ground plan of clock cells among insects. In the LN2 neuron cluster with cell bodies located in the lateral brain, PER is co-expressed with PDF. These cells build a complex arborization network throughout the brain and provide the perfect structure to convey time information to brain centers, where complex behavior, e.g. sun-compass orientation and time memory, is controlled. The PDF arborizations centralize in a dense network (we named it anterio-lobular PDF hub: ALO) which is located in front of the lobula. In other insects, this fiber center is associated with the medulla (accessory medulla: AME). Few PDF cells build the ALO already in very early larval development and the cell number and complexity of the network grows throughout honey bee development. Thereby, dorsal regions are innervated first by PDF fibers and, in late larval development, the fibers grow laterally to the optic lobe and central brain. The overall expression pattern of PER and PDF are similar in adult social and solitary bees, but I found a few differences in the PDF network density in the posterior protocerebrum and the lamina, which may be associated with evolution of sociality in bees.
Secondly, I monitored activity rhythms, for which I developed and established a device to monitor locomotor activity rhythms of individual honey bees with contact to a mini colony in the laboratory. This revealed new aspects of social synchronization and survival of young bees with indirect social contact to the mini colony (no trophalaxis was possible). For mason bees, I established a method to monitor emergence and locomotor activity rhythms and I could show that circadian emergence rhythms are entrainable by daily temperature cycles. Furthermore, I present the first locomotor activity rhythms of solitary bees, which show strong circadian rhythms in their behavior right after emergence. Honey bees needed several days to develop circadian locomotor rhythms in my experiments. I hypothesized that honey bees do not emerge with a fully matured circadian system in the hive, while solitary bees, without the protection of a colony, would need a fully matured circadian clock right away after emergence. Several indices in published work and preliminary studies support my hypothesis and future studies on PDF expression in different developmental stages in solitary bees may provide hard evidence.
A comprehensive approach for currency crises theories stressing the role of the anchor country
(2008)
The approach is based on the finding that new generations of currency crises theories always had developed ex post after popular currency crises. Discussing the main theories of currency crises shows their disparity: The First Generation of currency crises models argues based on the assumption of a chronic budget deficit that is being monetized by the domestic central bank. The result is a trade-off between an expansionary monetary policy that is focused on the internal economic balance and a fixed exchange rate which is depending on the rules of interest parity and purchasing power parity. This imbalance inevitably results in a currency crisis. Altogether, this theory argues with a disrupted external balance on the foreign exchange market. Second Generation currency crises models on the other side focus on the internal macroeconomic balance. The stability of a fixed exchange rate is depending on the economic benefit of the exchange rate system in relation to the social costs of maintaining it. As soon as social costs are increasing and showing up in deteriorating fundamentals, this leads to a speculative attack on the fixed exchange rate system. The term Third Generation of currency crises finally summarizes a variety of currency crises theories. These are also arguing psychologically to explain phenomena as contagion and spill-over effects to rationalize crises detached from the fundamental situation. Apart from the apparent inconsistency of the main theories of currency crises, a further observation is that these explanations focus on the crisis country only while international monetary transmission effects are left out of consideration. These however are a central parameter for the stability of fixed exchange rate systems, in exchange rate theory as well as in empirical observations. Altogether, these findings provide the motivation for developing a theoretical approach which integrates the main elements of the different generations of currency crises theories and which integrates international monetary transmission. Therefore a macroeconomic approach is chosen applying the concept of the Monetary Conditions Index (MCI), a linear combination of the real interest rate and the real exchange rate. This index firstly is extended for international monetary influences and called MCIfix. MCIfix illustrates the monetary conditions required for the stability of a fixed exchange rate system. The central assumption of this concept is that the uncovered interest parity is maintained. The main conclusion is that the MCIfix only depends on exogenous parameters. In a second step, the analysis integrates the monetary policy requirements for achieving an internal macroeconomic stability. By minimizing a loss function of social welfare, a MCI is derived which pictures the economically optimal monetary policy MCIopt. Instability in a fixed exchange rate system occurs as soon as the monetary conditions for an internal and external balance are deviating. For discussing macroeconomic imbalances, the central parameters determining the MCIfix (and therefore the relation of MCIfix to MCIopt) are discussed: the real interest rate of the anchor country, the real effective exchange rate and a risk premium. Applying this theory framework, four constellations are discussed where MCIfix and MCIopt fall apart in order to show the central bank’s possibilities for reacting and the consequences of that behaviour. The discussion shows that the integrative approach manages to incorporate the central elements of traditional currency crises theories and that it includes international monetary transmission instead of reducing the discussion on an inconsistent domestic monetary policy. The theory framework for fixed exchange rates is finally applied in four case studies: the currency crises in Argentina, the crisis in the Czech Republic, the Asian currency crisis and the crisis of the European Monetary System. The case studies show that the developed monetary framework achieves integration of different generations of crises theories and that the monetary policy of the anchor country plays a decisive role in destabilising fixed exchange rate systems.
We investigate transport measurements on all II-VI semiconductor resonant tunneling diodes (RTDs). Being very versatile, the dilute magnetic semiconductor (DMS) system (Zn,Be,Mn,Cd)Se is a perfect testbed for various spintronic device designs, as it allows for separate control of electrical and magnetic properties. In contrast to the ferromagnetic semiconductor (Ga,Mn)As, doping ZnSe with Mn impurities does not alter the electrical properties of the semiconductor, as the magnetic dopant is isoelectric in the ZnSe host.
This dissertation contributes to the empirical analysis of economic development. The continuing poverty in many Sub-Saharan-African countries as well as the declining trend in growth in the advanced economies that was initiated around the turn of the millennium raises a number of new questions which have received little attention in recent empirical studies. Is culture a decisive factor for economic development? Do larger financial markets trigger positive stimuli with regard to incomes, or is the recent increase in their size in advanced economies detrimental to economic growth? What causes secular stagnation, i.e. the reduction in growth rates of the advanced economies observable over the past 20 years? What is the role of inequality in the growth process, and how do governmental attempts to equalize the income distribution affect economic development? And finally: Is the process of democratization accompanied by an increase in living standards? These are the central questions of this doctoral thesis.
To facilitate the empirical analysis of the determinants of economic growth, this dissertation introduces a new method to compute classifications in the field of social sciences. The approach is based on mathematical algorithms of machine learning and pattern recognition. Whereas the construction of indices typically relies on arbitrary assumptions regarding the aggregation strategy of the underlying attributes, utilization of Support Vector Machines transfers the question of how to aggregate the individual components into a non-linear optimization problem.
Following a brief overview of the theoretical models of economic growth provided in the first chapter, the second chapter illustrates the importance of culture in explaining the differences in incomes across the globe. In particular, if inhabitants have a lower average degree of risk-aversion, the implementation of new technology proceeds much faster compared with countries with a lower tendency towards risk. However, this effect depends on the legal and political framework of the countries, their average level of education, and their stage of development.
The initial wealth of individuals is often not sufficient to cover the cost of investments in both education and new technologies. By providing loans, a developed financial sector may help to overcome this shortage. However, the investigations in the third chapter show that this mechanism is dependent on the development levels of the economies. In poor countries, growth of the financial sector leads to better education and higher investment levels. This effect diminishes along the development process, as intermediary activity is increasingly replaced by speculative transactions. Particularly in times of low technological innovation, an increasing financial sector has a negative impact on economic development. In fact, the world economy is currently in a phase of this kind. Since the turn of the millennium, growth rates in the advanced economies have experienced a multi-national decline, leading to an intense debate about "secular stagnation" initiated at the beginning of 2015. The fourth chapter deals with this phenomenon and shows that the growth potentials of new technologies have been gradually declining since the beginning of the 2000s.
If incomes are unequally distributed, some individuals can invest less in education and technological innovations, which is why the fifth chapter identifies an overall negative effect of inequality on growth. This influence, however, depends on the development level of countries. While the negative effect is strongly pronounced in poor economies with a low degree of equality of opportunity, this influence disappears during the development process. Accordingly, redistributive polices of governments exert a growth-promoting effect in developing countries, while in advanced economies, the fostering of equal opportunities is much more decisive.
The sixth chapter analyzes the growth effect of the political environment and shows that the ambiguity of earlier studies is mainly due to unsophisticated measurement of the degree of democratization. To solve this problem, the chapter introduces a new method based on mathematical algorithms of machine learning and pattern recognition. While the approach can be used for various classification problems in the field of social sciences, in this dissertation it is applied for the problem of democracy measurement. Based on different country examples, the chapter shows that the resulting SVMDI is superior to other indices in modeling the level of democracy. The subsequent empirical analysis emphasizes a significantly positive growth effect of democracy measured via SVMDI.
Pulsars (in short for Pulsating Stars) are magnetized, fast rotating neutron stars. The basic picture of a pulsar describes it as a neutron star which has a rotation axis that is not aligned with its magnetic field axis. The emission is assumed to be generated near the magnetic poles of the neutron star and emitted along the open magnetic field lines. Consequently, the corresponding beam of photons is emitted along the magnetic field line axis. The non-alignment of both, the rotation and the magnetic field axis, results in the effect that the emission of the pulsar is only seen if its beam points towards the observer.
The emission from a pulsar is therefore perceived as being pulsed although its generation is not. This rather simple geometrical model is commonly referred to as Lighthouse Model and has been widely accepted. However, it does not deliver an explanation of the precise mechanisms behind the emission from pulsars (see below for more details).
Nowadays more than 2000 pulsars are known. They are observed at various wavelengths. Multiwavelength studies have shown that some pulsars are visible only at certain wavelengths while the emission from others can be observed throughout large parts of the electromagnetic spectrum. An example of the latter case is the Crab pulsar which is also the main object of interest in this thesis. Originating from a supernova explosion observed in 1054 A.D. and discovered in 1968, the Crab pulsar has been the central subject of numerous studies. Its pulsed emission is visible throughout the whole electromagnetic spectrum which makes it a key figure in understanding the possible mechanisms of multiwavelength emission from pulsars.
The Crab pulsar is also well known for its radio emission strongly varying on long as well as on short time scales. While long time scale behaviour from a pulsar is usually examined through the use of its average profile (a profile resulting from averaging of a large number of individual pulses resulting from single rotations), short time scale behaviour is examined via its single pulses. The short time scale anomalous behaviour of its radio emission is commonly referred to as Giant Pulses and represents the central topic of this thesis.
While current theoretical approaches place the origin of the radio emission from a pulsar like the Crab near its magnetic poles (Polar Cap Model) as already indicated by the Lighthouse model, its emission at higher frequencies, especially its gamma-ray emission, is assumed to originate further away in the geometrical region surrounding a pulsar which is commonly referred to as a pulsar magnetosphere (Outer Gap Model). Consequently, the respective emission regions are usually assumed not to be connected. However, past observational results from the Crab pulsar represent a contradiction to this assumption.
Radio giant pulses from the Crab pulsar have been observed to emit large amounts of energy on very short time scales implying small emission regions on the surface of the pulsar. Such energetic events might also leave a trace in the gamma-ray emission of the Crab pulsar.
The aim of this thesis is to search for this connection in the form of a correlation study between radio giant pulses and gamma-photons from the Crab pulsar.
To make such a study possible, a multiwavelength observational campaign was organized for which radio observations were independently applied for, coordinated and carried out with the Effelsberg radio telescope and the Westerbork Synthesis Radio Telescope and gamma-ray observations with the Major Atmospheric Imaging Cherenkov telescopes. The corresponding radio and gamma-ray data sets were reduced and the correlation analysis thereafter consisted of three different approaches:
1) The search for a clustering in the differences of the times of arrival of radio giant pulses and gamma-photons;
2) The search for a linear correlation between radio giant pulses and gamma-photons using the Pearson correlation approach;
3) A search for an increase of the gamma-ray flux around occurring radio giant pulses.
In the last part of the correlation study an increase of the number of gamma-photons centered on a radio giant pulse by about 17% (in contrast with the number of gamma-photons when no radio giant pulse occurs in the same time window) was discovered. This finding suggests that a new theoretical approach for the emission of young pulsars like the Crab pulsar, is necessary.
The Venus flytrap, \textit{Dionaea muscipula}, with its carnivorous life-style and its highly
specialized snap-traps has fascinated biologist since the days of Charles Darwin. The
goal of the \textit{D. muscipula} genome project is to gain comprehensive insights into the
genomic landscape of this remarkable plant.
The genome of the diploid Venus flytrap with an estimated size between 2.6 Gbp to
3.0 Gbp is comparatively large and comprises more than 70 % of repetitive regions.
Sequencing and assembly of genomes of this scale are even with state-of-the-art
technology and software challenging. Initial sequencing and assembly of the genome
was performed by the BGI (Beijing Genomics Institute) in 2011 resulting in a 3.7 Gbp
draft assembly. I started my work with thorough assessment of the delivered assembly
and data. My analysis showed that the BGI assembly is highly fragmented and
at the same time artificially inflated due to overassembly of repetitive sequences.
Furthermore, it only comprises about on third of the expected genes in full-length,
rendering it inadequate for downstream analysis.
In the following I sought to optimize the sequencing and assembly strategy to obtain
an assembly of higher completeness and contiguity by improving data quality and
assembly procedure and by developing tailored bioinformatics tools. Issues with
technical biases and high levels of heterogeneity in the original data set were solved
by sequencing additional short read libraries from high quality non-polymorphic DNA
samples. To address contiguity and heterozygosity I examined numerous alternative
assembly software packages and strategies and eventually identified ALLPATHS-LG
as the most suited program for assembling the data at hand. Moreover, by utilizing
digital normalization to reduce repetitive reads, I was able to substantially reduce
computational demands while at the same time significantly increasing contiguity of
the assembly.
To improve repeat resolution and scaffolding, I started to explore the novel PacBio
long read sequencing technology. Raw PacBio reads exhibit high error rates of 15 %
impeding their use for assembly. To overcome this issue, I developed the PacBio
hybrid correction pipeline proovread (Hackl et al., 2014). proovread uses high
coverage Illumina read data in an iterative mapping-based consensus procedure to
identify and remove errors present in raw PacBio reads. In terms of sensitivity and
accuracy, proovread outperforms existing software. In contrast to other correction
programs, which are incapable of handling data sets of the size of D. muscipula
project, proovread’s flexible design allows for the efficient distribution of work load on high-performance computing clusters, thus enabling the correction of the Venus
flytrap PacBio data set.
Next to the assembly process itself, also the assessment of the large de novo draft
assemblies, particularly with respect to coverage by available sequencing data, is
difficult. While typical evaluation procedures rely on computationally extensive
mapping approaches, I developed and implemented a set of tools that utilize k-mer
coverage and derived values to efficiently compute coverage landscapes of large-scale
assemblies and in addition allow for automated visualization of the of the obtained
information in comprehensive plots.
Using the developed tools to analyze preliminary assemblies and by combining my
findings regarding optimizations of the assembly process, I was ultimately able to
generate a high quality draft assembly for D. muscipula. I further refined the assembly
by removal of redundant contigs resulting from separate assembly of heterozygous
regions and additional scaffolding and gapclosing using corrected PacBio data. The
final draft assembly comprises 86 × 10 3 scaffolds and has a total size of 1.45 Gbp.
The difference to the estimated genomes size is well explained by collapsed repeats.
At the same time, the assembly exhibits high fractions full-length gene models,
corroborating the interpretation that the obtained draft assembly provides a complete
and comprehensive reference for further exploration of the fascinating biology of the
Venus flytrap.
The implantation of any foreign material into the body automatically starts an immune reaction that serves as the first, mandatory step to regenerate tissue. The course of this initial immune reaction decides on the fate of the implant: either the biomaterial will be integrated into the host tissue to subsequently fulfill its intended function (e.g., tissue regeneration), or it will be repelled by fibrous encapsulation that determines the implant failure. Especially neutrophils and macrophages play major roles during this inflammatory response and hence mainly decide on the biomaterial's fate. For clinically relevant tissue engineering approaches, biomaterials may be designed in shape and morphology as well as in their surface functionality to improve the healing outcome, but also to trigger stem cell responses during the subsequent tissue regeneration phase.
The main focus of this thesis was to unravel the influence of scaffold characteristics, including scaffold morphology and surface functionality, on primary human innate immune cells (neutrophils and macrophages) and human mesenchymal stromal cells (hMSCs) to assess their in vitro immune response and tissue regeneration capacity, respectively. The fiber-based constructs were produced either via melt electrowriting (MEW), when the precise control over scaffold morphology was required, or via solution electrospinning (ES), when the scaffold design could be neglected. All the fiber-based scaffolds used throughout this thesis were composed of the polymer poly(ε caprolactone) (PCL).
A novel strategy to model and alleviate the first direct cell contact of the immune system with a peptide-bioactived fibrous material was presented in chapter 3 by treating the material with human neutrophil elastase (HNE) to imitate the neutrophil attack. The main focus of this study was put on the effect of HNE towards an RGDS-based peptide that was immobilized on the surface of a fibrous material to improve subsequent L929 cell adhesion. The elastase efficiently degraded the peptide-functionality, as evidenced by a decreased L929 cell adhesion, since the peptide integrated a specific HNE-cleavage site (AAPV-motif). A sacrificial hydrogel coating based on primary oxidized hyaluronic acid (proxHA), which dissolved within a few days after the neutrophil attack, provided an optimal protection of the peptide-bioactivated fibrous mesh, i.e, the hydrogel alleviated the neutrophil attack and largely ensured the biomaterial's integrity. Thus, according to these results, a means to protect the biomaterial is required to overcome the neutrophil attack.
Chapter 4 was based on the advancement of melt electrowriting (MEW) to improve the printing resolution of MEW scaffolds in terms of minimal inter-fiber distances and a concomitant high stacking precision. Initially, to gain a better MEW understanding, the influence of several parameters, including spinneret diameter, applied pressure, and collector velocity on mechanical properties, crystallinity, fiber diameter and fiber surface morphology was analyzed. Afterward, innovative MEW designs (e.g., box-, triangle-, round , and wall-shaped scaffolds) have been established by pushing the printing parameters to their physical limits. Further, the inter-fiber distance within a standardized box-structured scaffold was successfully reduced to 40 µm, while simultaneously a high stacking precision was maintained. In collaboration with a co-worker of my department (Tina Tylek, who performed all cell-based experiments in this study), these novel MEW scaffolds have been proven to facilitate human monocyte-derived macrophage polarization towards the regenerative M2 type in an elongation-driven manner with a more pronounced effect with decreasing pore sizes.
Finally, a pro-adipogenic platform for hMSCs was developed in chapter 5 using MEW scaffolds with immobilized, complex ECM proteins (e.g., human decellularized adipose tissue (DAT), laminin (LN), and fibronectin (FN)) to test for the adipogenic differentiation potential in vitro. Within this thesis, a special short-term adipogenic induction regime enabled to more thoroughly assess the intrinsic pro-adipogenic capacity of the composite biomaterials and prevented any possible masking by the commonly used long-term application of adipogenic differentiation reagents. The scaffolds with incorporated DAT consistently showed the highest adipogenic outcome and hence provided an adipo-inductive microenvironment for hMSCs, which holds great promise for applications in soft tissue regeneration.
Future studies should combine all three addressed projects in a more in vivo-related manner, comprising a co-cultivation setup of neutrophils, macrophages, and MSCs. The MEW-scaffold, particularly due to its ability to combine surface functionality and adjustable morphology, has been proven to be a successful approach for wound healing and paves the way for subsequent tissue regeneration.
The present approach highlights a procedural account of intuitive judgments. In intuitions of hidden semantic coherence, people can intuitively detect whether a word triad has a common remote associate (coherent) or not (incoherent) before, and independently from actually retrieving the common associate. The present fluency-affect intuition model (FAIM) maintains that semantic coherence increases the processing fluency for coherent compared to incoherent triads, and that this increased fluency triggers brief and subtle positive affect, which is the experiential basis of these intuitions. Published work concerning 25 experiments is reviewed that gathered empirical support for this model. Furthermore, the impact of fluency and affect was also generalized to intuitions of visual coherence, and intuitions of grammaticality in an artificial grammar learning paradigm.
Somites are repeated epithelial segments that are generated in a rhythmic manner from the presomitic mesoderm (PSM) in the embryonic tailbud. Later, they differentiate into skeletal muscle, cartilage and dermis. Somitogenesis is regulated by a complex interplay of different pathways. Notch/Delta signaling is one of the pathways well characterized in zebrafish through mutants affected in its different components. Previous work in mouse, chicken and zebrafish has shown that also additional components are required during somitogenesis, most importantly through an FGF and Retinoic acid (RA) gradient, as well as Wnt signaling. However, no zebrafish mutants with defects in these pathways showing specific somite malformations are described. This was explained by functional redundancies among related genes that have resulted from a whole genome duplication which occurred in a teleost fish ancestor 350 million years ago. As distinct duplicates exist in different teleost species, a large scale mutagenesis screen in the medaka (Oryzias latipes) has been performed successfully in Kyoto, Japan. I analyzed nine of the isolated medaka mutants that show variable aspects of somitic phenotypes. This includes a complete or partial loss of somite boundaries (e.g. bms and sne), somites with irregular sizes and shapes (e.g. krz and fsl) or partially fused and enlarged somites (e.g. dpk). Although some of these medaka mutants share characteristics with previously described zebrafish somite mutants, most of the mutants represent unique phenotypes, not obtained in the zebrafish screens. In-situ hybridization analyses with marker genes implicated in the segmentation clock (e.g. her7), establishment of anterior-posterior (A-P) polarity (e.g. mesp) and differentiation of somites (e.g. myf5, lfng) revealed that the medaka mutants can be separated into two classes. Class I shows defects in tailbud formation and PSM prepatterning, and lateron somite boundary formation was impaired in these mutants. A unique member of this class with a novel phenotype is the doppelkorn (dpk) mutant that has single fused or enlarged somites. This phenotype has not been reported till now in zebrafish somite mutants. In-situ analyses on dpk showed that stabilization of the cyclically expressed somitogenesis clock genes must be affected in this mutant. This is accompanied by a disrupted regulation of A-P polarity genes like mesp. This suggests that dpk is a mutant deficient in the wave front, which is necessary for the down-regulation of oscillating genes in the anterior PSM. Furthermore, as the initiation of oscillation of all three cyclic her genes was unaffected in dpk embryos, I could exclude that this mutant in affected in the Notch/Delta pathway. Another mutant that belongs to this class is the samidare (sam) mutant. Morphologically, sam mutants are similar to zebrafish after eight (aei). In both cases, the first 7-9 somites are formed properly, but after this somite formation ceases. Different to the situation in aei, sam mutant embryos presented an additional defect in the mid-hindbrain boundary (MHB) region. Similar MHB defects were described in the zebrafish fgf8 mutant acerebellar (ace). In ace zebrafish mutant, somites were only slightly defective, although FGF signaling has been shown to be important for somite formation in chicken, mouse and zebrafish. This was explained by functional redundancy between fgf8 and fgf24 ligands in the tailbud of zebrafish. Thus, it is interesting to suggest that the sam mutant, based on the parallel defects in somites and MHB, is a potential member of the FGF signaling pathway muatnts. It was shown that FGF plays a crucial role during MHB formation in medaka. In addition, I showed that fgf8 acts non-redundantly during tailbud formation and somitogenesis in medaka. Furthermore, I showed that FGF signaling regulates somite size also in medaka and that fgfr1 is the only FGF receptor expressed in the tailbud and somites. In class II medaka somite mutants, PSM prepatterning appears normal, whereas A-P polarity, boundary formation, epithelialization or the later differentiation of somites appears to be affected. Such mutants have not been isolated so far in zebrafish, mice or chicken. Therefore, medaka class II somite mutants seem to be a novel group of mutants that opens new perspectives to analyze A-P polarity regulation, determination and boundary formation in the presence of a normally functioning clock in the PSM. Identifying the encoding genes for all analyzed medaka somite mutants will contribute to the understanding of the molecular interactions of different signaling pathways involved during somitogenesis, and is expected to result in the identification of new components.
„Perspective-taking“ is the ability to put yourself into the place of somebody else. Psychological research distinguishes three kinds of perspective-taking, namely, perceptual (visuo-spatial), affective (empathy), and cognitive (theory of mind) perspective-taking. The last two kinds of perspective-taking are often summarized as “psychological perspective-taking”. This dissertation tackles the question of whether these three kinds of perspective-taking should be conceptualized as independent constructs or as facets of one and the same construct.
Prior research findings concerning this are equivocal. While some authors consider correlations between the different kinds of perspective-taking as too low for a unitary construct, others interpret correlations of the same magnitude as evidence for this. A less arbitrary way of deciding this would be to identify common mechanisms that underlie all kinds of perspective-taking and to examine whether manipulating these mechanisms in psychological experiments affects measures of perceptual, affective, and cognitive perspective-taking in parallel.
In accordance with this reasoning, the present dissertation assumes that the mental self-rotation of the body schema into the physical location of another person, the main mechanism of perceptual perspective-taking, is a common mechanism of all kinds of perspective-taking. Thus, contrary to previous research a unitary construct is not only justified on the grounds of a common central functionality of all kinds of perspective-taking, that is, overcoming one’s egocentrism in favor of an alternative (perceptual, affective or cognitive) point of view, but additionally on the grounds of a common psychological mechanism. From this, the simple hypothesis that inducing visuo-spatial perspective-taking also leads to psychological consequences is derived. This hypothesis was tested in 6 experiments.
In these experiments, participants first had to adopt the visual perspective of another person. To this end, they saw a person sitting at a table with two objects. During every trial, participants had to decide which hand the person would have to use in order to grab one of the two objects. Furthermore, the angular disparity between the participant and the target was manipulated in such a way that during half of the trials the target person was within the same visuo-spatial reference frame as the participant and thus no perspective-taking was necessary to solve the task correctly. During the remaining trials, the target person was sitting in another visuo-spatial reference frame so that the participants had to engage in perspective-taking to solve the task correctly. After every such trial, the target person was imbued with a mental state. This was done using an adapted paradigm for the investigation of the anchoring heuristic. Specifically, participants were asked to answer a trivia question and also saw what the target person from the visuo-spatial perspective-taking task was guessing.
In line with the hypothesis that visuo-spatial perspective-taking leads to psychological outcomes, too, it was found that participants adopted the thoughts of the target person more strongly after visuo-spatial perspective-taking. This was evident in the absolute size of the anchoring effect, as well as the differences between participant and target estimations. Further experiments ruled out sample and stimulus characteristics and task difficulty as alternative explanations for these effects. The last two experiments furthermore established that the effects were specific to constellations where an embodied self-rotation into the target’s perspective was necessary and that the adoption of the target’s thoughts was associated with feelings of similarity.
Taken together, these findings support the theoretically elaborated unitary view of perspective-taking and furthermore distinguish this construct from other related phenomena. In the general discussion, the significance of these findings for research on empathy, theory of mind, and perspective-taking, as well as practical implications are discussed.
The explosive expansion of the population of the Metropolitan Region of Curitiba raised a high increase in the demand for water resources and the uncontrolled settlement poses a large problem for the environment. The greatest menace to the water supply sources of this region is the urban occupation (invasion) into the areas that contain these resources. This occupation continues with its slow, silent, although progressive march, threatening precious and irreplaceable resources. From this background an area in the direct vicinity north-east of Curitiba has been studied. In this area a drinking water reservoir was constructed in the time that the study took place in the Iraí-basin. The Iraí-reservoir even though an area around the lake will be protected may be polluted by two tributaries which flow through more or less densely populated areas. In the study area on the same time wells have been constructed. To estimate what the impact may be from the possibly polluted reservoir on the aquifer a groundwater flow model has been constructed. On the same time to estimate the water balance and the spatial distribution of pollution vulnerability the hydrological model MODBIL has been used. Also other methods have been used to estimate the pollution vulnerability to make a comparison and because none of the methods takes every aspect into account. With the calibrated groundwater flow model for the situation before the construction of the Iraí-reservoir and after its construction, simple particle tracking transport models are constructed as scenarios how the water of the aquifer may be influenced.
This PhD thesis introduced several concepts for the construction of new supramolecular assem-blies in polar solvents. Although the building blocks differ in their binding mode and association strength they follow the same principle: one main driving force for the self-assembly in polar solutions in combination with one texturing force. The main self-assembly process is based on the mutual interaction of hydrogen-bond enforced ion pairs which deliver the association energy needed for stable, supramolecular structures even in polar solvents. The texturing force itself is represented by the linkers between the zwitterionic building blocks or parts of them. The different length and functionalization of the linkers have a tremendous influence on the mode of self-assembly leading to cyclic dimers, vesicles, layers or solid spheres. Hence, this principle is suitable for the construction of programmable monomers. Since the derivatisation of the main binding motive is rather simple it offers a great number of new and undoubtedly fascinating structures with potential applications in material and biomimetic science.
In contrast to c-Myc, a deregulated expression of the MYCN gene is restricted to human neuroendocrine tumours. In most cases, the excessive activity of N-Myc results from a MYCN amplification. In neuroblastoma, amplification of MYCN is a predictor of poor prognosis and resistance to therapy. The inability to target the N-Myc protein directly necessitates the search for alternative targets. This project aimed at identifying genes specifically required for growth and survival of cells that express high levels of N-Myc using high-throughput shRNA screening combined with next generation sequencing. The identification and analysis of these genes will shed light on functional interaction partners of N-Myc.
We screened a shRNA library containing 18,327 shRNAs and identified 148 shRNAs, which were selectively depleted in the presence of active N-Myc. In addition, shRNAs targeting genes that are involved in p53 and ARF turnover and apoptosis were depleted in the cell population during the screen. These processes are known to affect N-Myc-mediated apoptosis. Consequently, these results biologically validated the screen. The 148 shRNAs that showed a significant synthetic lethal interaction with high levels of N-Myc expression were further analysed using the bioinformatics program DAVID. We found an enrichment of shRNAs that target genes involved in specific biological processes. For example, we validated synthetic lethal interactions for genes such as, THOC1, NUP153 and LARP7, which play an important role in the process of RNA polymerase II-mediated transcription elongation. We also validated genes that are involved in the neddylation pathway.
In the screen we identified Cullin 3, which is a component of the BTB-CUL3-Rbx1 ubiquitin ligase that is involved in the turnover of Cyclin E. Depletion of cullin 3 and activation of N-Myc was found to synergistically increase Cyclin E expression to supraphysiological levels, inducing S-phase arrest and a strong DNA damage response.
Together with results from a proteomics analysis of N-Myc associated proteins, our results lead us to the following hypothesis: In a neuroblastoma cell, the high levels of N-Myc result in a conflict between RNA polymerase II and the replication machinery during S-phase. The newly identified interaction partners of N- Myc are required to solve this conflict. Consequently, loss of the interaction leads to a massive DNA damage and the induction of apoptosis. In addition, inhibition or depletion of the essential components of the neddylation pathway also results in an unresolvable problem during S-phase.
For the realization of a programmable logic device, or indeed any nanoscale device, we need a reliable method to probe the magnetization direction of local domains. For this purpose we extend investigations on the previously discovered tunneling anisotropic magneto resistance effect (TAMR) by scaling the pillar size from 100 µm down to 260 nm. We start in chapter 4 with a theoretical description of the TAMR effect and show experimental data of miniaturized pillars in chapter 5. With such small TAMR probes we are able to locally sense the magnetization on the 100 nm scale. Sub-micron TAMR and anisotropic magneto resistance (AMR) measurements of sub-millimeter areas show that the behavior of macroscopic (Ga,Mn)As regions is not that of a true macrospin, but rather an ensemble average of the behavior of many nearly identical macrospins. This shows that the magnetic anisotropies of the local regions are consistent with the behavior extracted from macroscopic characterization. A fully electrically controllable read-write memory device out the ferromagnetic semiconductor (Ga,Mn)As is presented in chapter 6. The structure consists of four nanobars which are connected to a circular center region. The first part of the chapter describes the lithography realization of the device. We make use of the sub-micron TAMR probes to read-out the magnetization state of a 650 nm central disk. Four 200 nm wide nanobars are connected to the central disk and serve as source and drain of a spin-polarized current. With the spin-polarized current we are able to switch the magnetization of the central disk by means of current induced switching. Injecting polarized holes with a spin angular momentum into a magnetic region changes the magnetization direction of the region due to the p-d exchange interaction between localized Mn spins and itinerant holes. The magnetization of the central disk can be controlled fully electrically and it can serve as one bit memory element as part of a logic device. In chapter 7 we discuss the domain wall resistance in (Ga,Mn)As. At the transition from nanobars to central disk we are able to generate 90° and 180° domain walls and measure their resistance. The results presented from chapter 5 to 7 combined with the preexisting ultracompact (Ga,Mn)As-based memory cell of ref. [Papp 07c] are the building blocks needed to realize a fully functioning programmable logic device. The work of ref. [Papp 07c] makes use of lithographically engineered strain relaxation to produce a structure comprised of two nanobars with mutually orthogonal uniaxial easy axes, connected by a narrow constriction. Measurements showed that the resistance of the constriction depends on the relative orientation of the magnetization in the two bars. The programmable logic device consists of two central disks connected by a small constriction. The magnetization of the two central disks are used as the input bits and the constriction serves as the output during the logic operation. The concept is introduced in the end of chapter 6 and as an example for a logic operation an XOR gate is presented. The functionality of the programmable logic scheme presented here can be straightforwardly extended to produce multipurpose functional elements, where the given geometry can be used as various different computational elements depending on the number of input bits and the chosen electrical addressing. The realization of such a programmable logic device is shown in chapter 8, where we see that the constriction indeed can serve as a output of the logic operation because its resistance is dependent on the relative magnetization state of both disks. Contrary to ref. [Papp 07c], where the individual magnetic elements connected to the constriction only have two non-volatile magnetic states, each disk in our scheme connected to the constriction has four non-volatile magnetic states. Switching the magnetization of a central disk with an electrical current does not only change the TAMR read-out of the respective disk, it also changes the resistance of the constriction. The resistance polar plot of the constriction maps the relative magnetization states of the individual disks. The presented device design serves as an all-electrical, all-semiconductor logic element. It combines a memory cell and data processing in a single monolithic paradigm.
In this work models for molecular networks consisting of ordinary differential equations are extended by terms that include the interaction of the corresponding molecular network with the environment that the molecular network is embedded in. These terms model the effects of the external stimuli on the molecular network. The usability of this extension is demonstrated with a model of a circadian clock that is extended with certain terms and reproduces data from several experiments at the same time.
Once the model including external stimuli is set up, a framework is developed in order to calculate external stimuli that have a predefined desired effect on the molecular network. For this purpose the task of finding appropriate external stimuli is formulated as a mathematical optimal control problem for which in order to solve it a lot of mathematical methods are available. Several methods are discussed and worked out in order to calculate a solution for the corresponding optimal control problem. The application of the framework to find pharmacological intervention points or effective drug combinations is pointed out and discussed. Furthermore the framework is related to existing network analysis tools and their combination for network analysis in order to find dedicated external stimuli is discussed.
The total framework is verified with biological examples by comparing the calculated results with data from literature. For this purpose platelet aggregation is investigated based on a corresponding gene regulatory network and associated receptors are detected. Furthermore a transition from one to another type of T-helper cell is analyzed in a tumor setting where missing agents are calculated to induce the corresponding switch in vitro. Next a gene regulatory network of a myocardiocyte is investigated where it is shown how the presented framework can be used to compare different treatment strategies with respect to their beneficial effects and side effects quantitatively. Moreover a constitutively activated signaling pathway, which thus causes maleficent effects, is modeled and intervention points with corresponding treatment strategies are determined that steer the gene regulatory network from a pathological expression pattern to physiological one again.
Today knowledge base authoring for the engineering of intelligent systems is performed mainly by using tools with graphical user interfaces. An alternative human-computer interaction para- digm is the maintenance and manipulation of electronic documents, which provides several ad- vantages with respect to the social aspects of knowledge acquisition. Until today it hardly has found any attention as a method for knowledge engineering.
This thesis provides a comprehensive discussion of document-centered knowledge acquisition with knowledge markup languages. There, electronic documents are edited by the knowledge authors and the executable knowledge base entities are captured by markup language expressions within the documents. The analysis of this approach reveals significant advantages as well as new challenges when compared to the use of traditional GUI-based tools.
Some advantages of the approach are the low barriers for domain expert participation, the simple integration of informal descriptions, and the possibility of incremental knowledge for- malization. It therefore provides good conditions for building up a knowledge acquisition pro- cess based on the mixed-initiative strategy, being a flexible combination of direct and indirect knowledge acquisition. Further it turns out that document-centered knowledge acquisition with knowledge markup languages provides high potential for creating customized knowledge au- thoring environments, tailored to the needs of the current knowledge engineering project and its participants. The thesis derives a process model to optimally exploit this customization po- tential, evolving a project specific authoring environment by an agile process on the meta level. This meta-engineering process continuously refines the three aspects of the document space: The employed markup languages, the scope of the informal knowledge, and the structuring and organization of the documents. The evolution of the first aspect, the markup languages, plays a key role, implying the design of project specific markup languages that are easily understood by the knowledge authors and that are suitable to capture the required formal knowledge precisely. The goal of the meta-engineering process is to create a knowledge authoring environment, where structure and presentation of the domain knowledge comply well to the users’ mental model of the domain. In that way, the approach can help to ease major issues of knowledge-based system development, such as high initial development costs and long-term maintenance problems.
In practice, the application of the meta-engineering approach for document-centered knowl- edge acquisition poses several technical challenges that need to be coped with by appropriate tool support. In this thesis KnowWE, an extensible document-centered knowledge acquisition environment is presented. The system is designed to support the technical tasks implied by the meta-engineering approach, as for instance design and implementation of new markup lan- guages, content refactoring, and authoring support. It is used to evaluate the approach in several real-world case-studies from different domains, such as medicine or engineering for instance.
We end the thesis by a summary and point out further interesting research questions consid- ering the document-centered knowledge acquisition approach.
In this thesis, I present a model system for carbohydrate interactions with single-crystalline Ru surfaces. Geometric and electronic properties of copper phthalocyanine (CuPc) on top of graphene on hexagonal Ru(0001), rectangular Ru(10-10) and vicinal Ru(1,1,-2,10) surfaces have been studied. First, the Fermi surfaces and band structures of the three Ru surfaces were investigated by high-resolution angle-resolved photoemission spectroscopy. The experimental data and theoretical calculations allow to derive detailed information about the momentum-resolved electronic structure. The results can be used as a reference to understand the chemical and catalytic properties of Ru surfaces. Second, graphene layers were prepared on the three different Ru surfaces. Using low-energy electron diffraction and scanning tunneling microscopy, it was found that graphene can be grown in well-ordered structures on all three surfaces, hexagonal Ru(0001), rectangular Ru(10-10) and vicinal Ru(1,1,-2,10), although they have different surface symmetries. Evidence for a strong interaction between graphene and Ru surfaces is a 1.3-1.7e V increase in the graphene pi-bands binding energy with respect to free-standing graphene sheets. This energy variation is due to the hybridization between the graphene pi bands and the Ru 4d electrons, while the lattice mismatch does not play an important role in the bonding between graphene and Ru surfaces. Finally, the geometric and electronic structures of CuPc on Ru(10-10), graphene/Ru(10-10), and graphene/Ru(0001) have been studied in detail. CuPc molecules can be grown well-ordered on Ru(10-10) but not on Ru(0001). The growth of CuPc on graphene/Ru(10-10) and Ru(0001) is dominated by the Moire pattern of graphene. CuPc molecules form well-ordered structures with rectangular unit cells on graphene/Ru(10-10) and Ru(0001). The distance of adjacent CuPc molecules is 1.5 and 1.3 nm on graphene/Ru(0001) and 1.54 and 1.37 nm on graphene/Ru(10-10). This indicates that the molecule-substrate interaction dominates over the intermolecular interaction for CuPc molecules on graphene/Ru(10-10) and graphene/Ru(0001).
A mouse model for genetic deletion of presynaptic BDNF from adult hippocampal mossy fiber terminals
(2020)
Brain-derived neurotrophic factor (BDNF) is a modulator and mediator of structural and functional plasticity at synapses in the central nervous system. Despite our profound knowledge about the synaptic function of BDNF at synapses, it is still controversially discussed whether synaptic BDNF acts primarily from pre- or postsynaptic sites. In the central nervous system, several studies show that mossy fiber (MF) projections formed by hippocampal granule neurons store the highest amount of BDNF. However, immunofluorescence and RNA labelling studies suggest that MF BDNF is primarily produced by granule neurons. Multiple other studies prefer the view that BDNF is primarily produced by postsynaptic neurons such as CA3 pyramidal neurons. Here, we question whether the BDNF, which is stored in the mossy fiber synapse, is primarily produced by granule neurons or whether by other cells in the MF-CA3 microcircuit. After standardization of immunolabelling of BDNF, confocal imaging confirmed the localization of BDNF in presynaptic MF terminals. This anterograde location of synaptic BDNF was also found in distinct regions of the fear and anxiety circuit, namely in the oval nucleus of the bed nucleus stria terminals (ovBNST) and in the central amygdala. To find out whether the presynaptic BDNF location is due to protein translation in the corresponding presynaptic dentate gyrus (DG) granule neuron, we developed and characterized a mouse model that exhibits BDNF deletion specifically from adult DG granule neurons. In this mouse model, loss of presynaptic BDNF immunoreactivity correlated with the specific Creactivity in granule neurons, thus confirming that MF BDNF is principally released by granule neurons. After BDNF deletion from granule neurons, we observed more immature neurons with widely arborized dendritic trees. This indicated that local BDNF deletion also affects the local adult neurogenesis, albeit Cre-mediated BDNF deletion only occur in adult granule neurons. Since BDNF is a master regulator of structural synaptic plasticity, it was questioned whether it is possible to visualize presynaptic, synapse-specific, structural plasticity in mossy fiber synapses. It was established that a combination of Cre-techniques together with targeting of GFP to membranes with the help of palmitoylation / myristoylation anchors was able to distinctly outline the synaptic structure of the BDNF-containing MF synapse. In summary, the mouse model characterized in here is suited to investigate the synaptic signalling function of presynaptic BDNF at the mossy fiber terminal, a model synapse to investigate microcircuit information processing from molecule to behaviour.
It is well known, that the least squares estimator performs poorly in the presence of multicollinearity. One way to overcome this problem is using biased estimators, e.g. ridge regression estimators. In this study an estimation procedure is proposed based on adding a small quantity omega on some or each regressor. The resulting biased estimator is described in dependence of omega and furthermore it is shown that its mean squared error is smaller than the one corresponding to the least squares estimator in the case of highly correlated regressors.
The aim of the present piece of work was to give information about the frequency of psychoactive substances within the German driver population and to identify preventive and promotive circumstances of drug driving. Furthermore, a new methodological approach to gather and link data about the consumption of psychoactive substances and the mobility of drug users is shown. Traditionally, roadside surveys are conducted to estimate the prevalence of drug driving within a population. By the present study, an alternative method is introduced. In total, 195 drug users (mainly cannabis users) and 100 controls out of the normal driving population were queried for four weeks about their driving and drug consumption behaviour by a questionnaire that was deployed on smartphones. The prevalences of drug driving within the sample were extrapolated into representative values. Because the subjects reported all daily activities within the study-period, it was also possible to describe situations in which the subjects decided against driving under influence. Besides, relevant previous experiences, attitudes, the approval of legal regulations, other traffic-specific parameters, social influences and personality variables were queried. So, individual factors that are associated with drug driving can be specified. The results are integrated in a model that shows dependencies of different societal, behavioural and legal variables. They can serve as major input to the discussion on drug driving and can be of practical use for rehabilitation and prevention purposes. The results can be summarised as follows: - Compared to the results of a German roadside survey from 1994, the prevalences that are found within the present study seem pretty low. This finding is discussed and possible explanations for the described trend are lined out. Furthermore, the prevalences that were calculated in the present study are compared to current data from other European countries. - The results show differences between users and controls on several variables. The differences indicate that substance use impacts on the structuring of day-to-day life. Overall, the controls’ days proceed more along a daily working routine than the users’ (e.g. less mobility at night, more mobility at rush-hour, alcohol consumption mainly at nights out). - The individual extent to which drugs are consumed differs dependent on daytime, day of the week and kind of substance. Of course, these dependencies also influence the occurrence of drug driving. Other factors of influence on drug driving are the distance, the availability of alternative modes of transport as well as the presence of female companions. - Not everybody who uses drugs drives under the influence of drugs. A striking predictor for frequent drug driving and highly intoxicated driving is a high consumption, associated with risky consumption patterns and a low subjective feeling of impairment after drug consumption. - The subjects’ attitudes towards drug driving and their beliefs about social norms largely go in line with the behaviour they engage in. Drug users have rather liberal attitudes towards drug use and driving under influence. - A possible deterrence effect of sanctioning and police enforcement and its dependence on the acceptance and awareness of the measures is delineated. - Only small effects are found when examining the objective impairment that is caused by drug use by a computer-based test battery. This result is critically discussed with regards to the operationalisation of the study groups. - Except from driving under influence, there is no evidence to suggest that DUI offenders also show problematic behaviour according to other traffic-related measures. - Parents and peers may have an influence as role models on the development of problematic behaviour. A good relationship between parents and children may have a positive impact on the development of conventional values and behaviour. - Drug use is associated with some crucial personality dimensions and drugs are often used to solve personal problems. A less precise but similar difference was found for users who commit many drives under influence compared to users who never or only sometimes drive under influence. Moreover, users marginally more often have psychological problems compared to controls. Finally, the strengths and weaknesses of the new methodological approach of data collection are discussed as well as the challenges that are faced when implementing it. All in all, it has proved to be a promising method and should serve as a standard to which future studies should aspire.
Whereas G-protein coupled receptors (GPCRs) have been long believed to signal through cyclic AMP exclusively at cell surface, our group has previously shown that GPCRs not only signal at the cell surface but can also continue doing so once internalized together with their ligands, leading to persistent cAMP production. This phenomenon, which we originally described for the thyroid stimulating hormone receptor (TSHR) in thyroid cells, has been observed also for other GPCRs. However, the intracellular compartment(s) responsible for such persistent signaling and its consequences on downstream effectors were insufficiently characterized. The aim of this study was to follow by live-cell imaging the trafficking of internalized TSHRs and other involved signaling proteins as well as to understand the consequences of signaling by internalized TSHRs on the downstream activation of protein kinase A (PKA). cAMP and PKA
activity was measured in real-time in living thyroid cells using FRET-based sensors Epac1-camp and AKAR2 respectively. The results suggest that TSH co-internalizes with its receptor and that the internalized TSH/TSHR complexes traffic retrogradely to the trans-Golgi network (TGN). This study also provides evidence that these internalized TSH/TSHR complexes meet an intracellular pool of Gs proteins in sorting endosomes and in TGN and activate it there, as visualized in real-time using a conformational biosensor nanobody, Nb37. Acute Brefeldin A-induced Golgi collapse hinders the retrograde trafficking of TSH/TSHR complexes, leading to reduced cAMP production and PKA signaling. BFA pretreatment was also able to attenuate CREB phosphorylation suggesting that an intact Golgi/TGN organisation is essential
for an efficient cAMP/PKA signaling by internalized TSH/TSHR complexes. Taken together this data provides evidence that internalized TSH/TSHR complexes meet and activate Gs proteins in sorting endosomes and at the TGN, leading to a local activation of PKA and consequently increased CREB activation. These findings suggest unexpected functions for receptor internalization, with major pathophysiological and pharmacological implications.
Priority tasks of the present thesis were to generate various enantiopure C-3-substituted pyroglutamates as well as C-3-substituted glutamates, and furthermore to ameliorate the serious drawback of the bad atom-economy in the reaction sequence of previously published silylether-mediated procedures. To meet these requirements, the ortho ester functionality (OBO ester) developed by Corey was introduced. According to the plan of synthesis, the starting material, non-racemic (S)-pyroglutamic acid, was converted to the corresponding oxetane ester via a DCC-mediated esterification. The latter was N-protected to provide N-acceptor substituted pyroglutamic acid oxetane esters (Acceptor=Boc,Cbz,CO2Me). After rearrangement with boron trifluoride, the ortho ester derivatives (Acceptor=Cbz,CO2Me) were at hand and exclusively the N-Cbz derivative was converted to the corresponding alpha,beta-unsaturated lactam via a syn-elimination reaction. The formation of the C-3-substituted ortho ester compounds (R=methyl,ethyl,butyl,allyl,phenyl,4-chlorophenyl,biphenyl,naphthyl) was performed via a copper-mediated conjugate addition to the alpha,beta-enone system of the N-Cbz-alpha,beta-unsaturated lactam. The OBO functionality hence was envisaged to support perfect trans selectivity in this cuprate addition to the Michael system of the N-Cbz-alpha,beta-unsaturated lactam. Spectroscopic NMR-data, on the basis of 1H-, 13C- and DEPT spectra, proved the assumption that the C-3-substituted ortho ester derivatives exclusively are trans-configurated, i.e. the alkyl derivatives (R=methyl,ethyl,butyl,allyl) are (2S,3S)-configurated and the aryl derivatives (R=phenyl,4-chlorophenyl,biphenyl,naphthyl) are (2S,3R)-configurated). The C-3-substituted ortho ester derivatives were completely deprotected to yield the C-3-substituted pyroglutamates (R=ethyl,phenyl,4-chlorophenyl,naphthyl). Finally, ring opening reaction via route A-2 lead to the desired enantiopure C-3-substituted glutamates. Alternatively, latter preferably were reacted via route A-1 to yield the C-3-substituted glutamates (R=methyl,ethyl,butyl,phenyl,4-chlorophenyl,naphthyl). Their (2S,3R)-configuration (R=aryl) and (2S,3S)-configuration (R=alky), respectively, unambiguously was proved on the basis of available spectroscopic NMR-data. To ensure this assumption, diastereomeric (2S,3R)-3-methyl glutamic acid (i.e. cis-configurated) examplarily was synthesized via route A-3 and spectroscopic NMR-data was compared to that of (2S,3S)-3-methyl glutamic acid (i.e. trans-configurated). Conclusively, there can be recorded the fact that the serious drawback of the bad atom-economy in the reaction sequence previously used can be circumvented by the introduction of the OBO functionality, so the concept of an improved atom-economy is achieved. Additionally, in comparison to the silyl-ether-mediated synthesis, the OBO functionality provided crystalline ortho ester derivatives, which facilitated their purification as well as characterization.
The culture of human induced pluripotent stem cells (hiPSCs) at large-scale becomes feasible with the aid of scalable suspension setups in continuously stirred tank reactors (CSTRs). Suspension cul- tures of hiPSCs are characterized by the self-aggregation of single cells into macroscopic cell aggre- gates that increase in size over time. The development of these free-floating aggregates is dependent on the culture vessel and thus represents a novel process parameter that is of particular interest for hiPSC suspension culture scaling. Further, aggregates surpassing a critical size are prone to spon- taneous differentiation or cell viability loss. In this regard, and, for the first time, a hiPSC-specific suspension culture unit was developed that utilizes in situ microscope imaging to monitor and to characterize hiPSC aggregation in one specific CSTR setup to a statistically significant degree while omitting the need for error-prone and time-intensive sampling. For this purpose, a small-scale CSTR system was designed and fabricated by fused deposition modeling (FDM) using an in-house 3D- printer. To provide a suitable cell culture environment for the CSTR system and in situ microscope, a custom-built incubator was constructed to accommodate all culture vessels and process control devices. Prior to manufacture, the CSTR design was characterized in silico for standard engineering parameters such as the specific power input, mixing time, and shear stress using computational fluid dynamics (CFD) simulations. The established computational model was successfully validated by comparing CFD-derived mixing time data to manual measurements. Proof for system functionality was provided in the context of long-term expansion (4 passages) of hiPSCs. Thereby, hiPSC aggregate size development was successfully tracked by in situ imaging of CSTR suspensions and subsequent automated image processing. Further, the suitability of the developed hiPSC culture unit was proven by demonstrating the preservation of CSTR-cultured hiPSC pluripotency on RNA level by qRT-PCR and PluriTest, and on protein level by flow cytometry.
The measurement of the mass of the $W$ boson is currently one of the most promising precision analyses of the Standard Model, that could ultimately reveal a hint for new physics.
The mass of the $W$ boson is determined by comparing the $W$ boson, which cannot be reconstructed directly, to the $Z$ boson, where the full decay signature is available. With the help of Monte Carlo simulations one can extrapolate from the $Z$ boson to the $W$ boson.
Technically speaking, the measurement of the $W$ boson mass is performed by comparing data taken by the ATLAS experiment to a set of calibrated Monte Carlo simulations, which reflect different mass hypotheses.\
A dedicated calibration of the reconstructed objects in the simulations is crucial for a high precision of the measured value.
The comparison of simulated $Z$ boson events to reconstructed $Z$ boson candidates in data allows to derive event weights and scale factors for the calibration.
This thesis presents a new approach to reweight the hadronic recoil in the simulations. The focus of the calibration is on the average hadronic activity visible in the mean of the scalar sum of the hadronic recoil $\Sigma E_T$ as a function of pileup. In contrast to the standard method, which directly reweights the scalar sum, the dependency to the transverse boson momentum is less strongly affected here.
The $\Sigma E_T$ distribution is modeled first by means of its pileup dependency. Then, the remaining differences in the resolution of the vector sum of the hadronic recoil are scaled. This is done separately for the parallel and the pterpendicular component of the hadronic recoil with respect to the reconstructed boson.
This calibration was developed for the dataset taken by the ATLAS experiment at a center of mass energy of $8\,\textrm{TeV}$ in 2012. In addition, the same reweighting procedure is applied to the recent dataset with a low pileup contribution, the \textit{lowMu} runs at $5\,\textrm{TeV}$ and at $13\,\textrm{TeV}$, taken by ATLAS in November 2017. The dedicated aspects of the reweighting procedure are presented in this thesis. It can be shown that this reweighting approach improves the agreement between data and the simulations effectively for all datasets.
The uncertainties of this reweighting approach as well as the statistical errors are evaluated for a $W$ mass measurement by a template fit to pseudodata for the \textit{lowMu} dataset. A first estimate of these uncertainties is given here. For the pfoEM algorithm a statistical uncertainty of $17\,\text{MeV}$ for the $5\,\textrm{TeV}$ dataset and of $18\,\text{MeV}$ for the $13\,\textrm{TeV}$ are found for the $W \rightarrow \mu \nu$ analysis. The systematic uncertainty introduced by the resolution scaling has the largest effect, a value of $15\,\text{MeV}$ is estimated for the $13\,\textrm{TeV}$ dataset in the muon channel.
The adaptive immune system is known to provide highly specific and effective immunity against a broad variety of pathogens due to different effector cells. The most prominent are CD4+ T-cells which differentiate after activation into distinct subsets of effector and memory cells, amongst others T helper 1 (Th1) cells. We have recently shown that mouse as well as human Th1 cells depend on T cell receptor (TCR) signals concomitant with CD28 costimulation in order to secrete interferon (IFN) which is considered as their main effector function. Moreover, there is a class of anti-CD28 monoclonal antibodies that is able to induce T cell (re-)activation without concomitant TCR ligation. These so-called CD28-superagonists (CD28-SA) have been shown to preferentially activate and expand CD4+ Foxp3+ regulatory T (Treg) cells and thereby efficaciously conferring protection e.g. against autoimmune responses in rodents and non-human primates. Considering this beneficial effect, CD28-SA were thought to be of great impact for immunotherapeutic approaches and a humanized CD28-SA was subjected to clinical testing starting with a first-in-man trial in London in 2006. Unexpectedly, the volunteers experienced life-threatening side effects due to a cytokine release syndrome (CRS) that was unpredicted by the preclinical studies prior to the trial. Retrospectively, CD4+ memory T cells within the tissues were identified as source of pro-inflammatory cytokines released upon CD28-SA administration. This was not predicted by the preclinical testing indicating a need for more reliable and predictive animal models. Whether mouse CD4+ T cells are generally irresponsive to CD28-SA stimulation or rather the lack of a bona fide memory T cell compartment in cleanly housed specific-pathogen-free (SPF) mice is the reason why the rodent models failed to predict the risk for a CRS remained unclear. To provide SPF mice with a true pool of memory/effector T cells, we transferred in vitro differentiated TCR-transgenic OT-II Th1 cells into untreated recipient mice. Given that Treg cells suppress T cell activation after CD28- SA injection in vivo, recipients were either Treg-competent or Treg-deficient, wild type or DEREG mice, respectively. Subsequent CD28-SA administration resulted in induction of systemic pro-inflammatory cytokine release, dominated by IFN, that was observed to be much more pronounced and robust in Treg-deficient recipients. Employing a newly established in vitro system mirroring the in vivo responses to CD28-SA stimulation of Th1 cells revealed that antigen-presenting cells (APCs) amplify CD28-SAinduced IFN release by Th1 cells due to CD40/CD40L-interactions. Thus, these data are the first to show that mouse Th1 cells are indeed sensitive to CD28-SA stimulation in vivo and in vitro responding with strong IFN release accompanied by secretion of further pro-inflammatory cytokines, which is compatible with a CRS. In conclusion, this study will facilitate preclinical testing of immunomodulatory agents providing a mouse model constituting more “human-like” conditions allowing a higher degree of reliability and translationability.
A novel USP11-TCEAL1-mediated mechanism protects transcriptional elongation by RNA Polymerase II
(2024)
Deregulated expression of MYC oncoproteins is a driving event in many human cancers. Therefore, understanding and targeting MYC protein-driven mechanisms in tumor biology remain a major challenge.
Oncogenic transcription in MYCN-amplified neuroblastoma leads to the formation of the MYCN-BRCA1-USP11 complex that terminates transcription by evicting stalling RNAPII from chromatin. This reduces cellular stress and allows reinitiation of new rounds of transcription. Basically, tumors with amplified MYC genes have a high demand on well orchestration of transcriptional processes-dependent and independent from MYC proteins functions in gene regulation. To date, the cooperation between promoter-proximal termination and transcriptional elongation in cancer cells remains still incomplete in its understanding.
In this study the putative role of the dubiquitinase Ubiquitin Specific Protease 11 (USP11) in transcription regulation was further investigated. First, several USP11 interaction partners involved in transcriptional regulation in neuroblastoma cancer cells were identified. In particular, the transcription elongation factor A like 1 (TCEAL1) protein, which assists USP11 to engage protein-protein interactions in a MYCN-dependent manner, was characterized. The data clearly show that TCEAL1 acts as a pro-transcriptional factor for RNA polymerase II (RNAPII)-medi- ated transcription. In detail, TCEAL1 controls the transcription factor S-II (TFIIS), a factor that assists RNAPII to escape from paused sites. The findings claim that TCEAL1 outcompetes the transcription elongation factor TFIIS in a non-catalytic manner on chromatin of highly expressed genes. This is reasoned by the need regulating TFIIS function in transcription. TCEAL1 equili- brates excessive backtracking and premature termination of transcription caused by TFIIS.
Collectively, the work shed light on the stoichiometric control of TFIIS demand in transcriptional regulation via the USP11-TCEAL1-USP7 complex. This complex protects RNAPII from TFIIS-mediated termination helping to regulate productive transcription of highly active genes in neuroblastoma.
This work deals with the sintering of multi-material composites. It aims at the establishment of an alternative to the existing complex models for sintering. The development of the associated experimental procedure is also included in this work. The developed material model must be able to predict (i) the sintering kinetics and (ii) the viscous moduli of a material. An experimental approach with free sintering and hot-forging measurements is favoured in this work. The prediction of the sintering kinetics is addressed with the construction of a map of sintering kinetics data: the Master Sintering Diagram (MSD). The MSD is based on a generalized equation for solid-state diffusion, thus is suitable for any thermal activated diffusion. The MSD allows the prediction of sintering kinetics for a large range of temperatures and external loads. A novel approach to the determination of the viscous moduli is developed in this work: the cyclic unloading method. It is a hot-forging measurement (sintering under uniaxial compression) where the applied load is released for short periods. The measurements are carried out with continuous heating, so that the viscous moduli are determined over large ranges of temperatures and densities. The advantage of this method is the measurement of the viscous moduli in anisotropic microstructures. The material model is validated in two steps. Firstly, the predictions of sintering kinetics with the MSD are compared with experimental results: changes of thermal profile and changes of load are predicted with a maximum deviation of 10%. Secondly, the experimentally determined viscous moduli are used for the prediction of a bi-layer curvature using models for warpage from literature. The prediction is qualitatively good for a maximum deviation of 27%. The study of a sintering glass-ceramic tape on a rigid substrate is presented. It shows that this co-sintering problem can be qualitatively investigated with requirement of the material model. The formation of anisotropy intrinsic to the hot-forging experiments is also reported in this work. It appears to be a important point to address in the future for a better understanding of the cosintering.
The global selection of production sites is a very complex task of great strategic importance for Original Equipment Manufacturers (OEMs), not only to ensure their sustained competitiveness, but also due to the sizeable long-term investment associated with a production site. With this in mind, this work develops a process model with which OEMs can select the most appropriate production site for their specific production activity in practice. Based on a literature analysis, the process model is developed by determining all necessary preparation, by defining the properties of the selection process model, providing all necessary instructions for choosing and evaluating location factors, and by laying out the procedure of the selection process model. Moreover, the selection process model includes a discussion of location factors which are possibly relevant for OEMs when selecting a production site. This discussion contains a description and, if relevant, a macroeconomic analysis of each location factor, an explanation of their relevance for constructing and operating a production site, additional information for choosing relevant location factors, and information and instructions on evaluating them in the selection process model. To be successfully applicable, the selection process model is developed based on the assumption that the production site must not be selected in isolation, but as part of the global production network and supply chain of the OEM and, additionally, to advance the OEM’s related strategic goals. Furthermore, the selection process model is developed on the premise that a purely quantitative model cannot realistically solve an OEM’s complex selection of a production site, that the realistic analysis of the conditions at potential production sites requires evaluating the changes of these conditions over the planning horizon of the production site and that the future development of many of these conditions can only be assessed with uncertainty.
Rifting and breakup of Westgondwana in the Late Jurassic/ Early Cretaceous initiated the formation of the South Atlantic and its conjugated pair of passive continental margins. The Walvis Basin offshore NW-Namibia is an Early Cretaceous to recent depositional centre with a typically wedge-shaped postrift sedimentary succession covering an area of 105000km2. A 2D model transect across the central Walvis Basin and adjacent onshore areas is used as a case study to investigate quantitatively the denudational history of the evolving passive margin and the related contemporaneous depositional postrift evolution offshore. The database for both the onshore and offshore part of the model traverse is well constrained by own field work, published data as well as by seismic and well data supported by samples. The ultimate goal of this project is to present an integrated approach towards a quantitative link between surface processes and internal processes in terms of a mass and process balance.
The most energetic versions of active galactic nuclei (AGNs) feature two highly-relativistic plasma outflows, so-called jets, that are created in the vicinity of the central supermassive black hole and evolve in opposite directions. In blazars, which dominate the extragalactic gamma-ray sky, the jets are aligned close to the observer's line of sight leading to strong relativistic beaming effects of the jet emission. Radio observations especially using very long baseline interferometry (VLBI) provide the best way to gain direct information on the intrinsic properties of jets down to sub-parsec scales, close to their formation region.
In this thesis, I focus on the properties of three AGNs, IC 310, PKS 2004-447, and 3C 111 that belong to the small non-blazar population of gamma-ray-loud AGNs. In these kinds of AGNs, the jets are less strongly aligned with respect to the observer than in blazars. I study them in detail with a variety of radio astronomical instruments with respect to their high-energy emission and in the context of the large samples in the monitoring programmes MOJAVE and TANAMI. My analysis of radio interferometric observations and flux density monitoring data reveal very different characteristics of the jet emission in these sources. The work presented in this thesis illustrates the diversity of the radio properties of gamma-ray-loud AGNs that do not belong to the dominating class of blazars.
From the simplest single-cellular organism to the most complex multicellular life forms, genetic information in form of DNA represents the universal basis for all biological processes and thus for life itself. Maintaining the structural and functional integrity of the genome is therefore of paramount importance for every single cell. DNA itself, as an active and complex macromolecular structure, is both substrate and product of many of these biochemical processes. A cornerstone of DNA maintenance is thus established by the tight regulation of the multitude of reactions in DNA metabolism, repressing adverse side reactions and ensuring the integrity of DNA in sequence and function. The family of RecQ helicases has emerged as a vital class of enzymes that facilitate genomic integrity by operating in a versatile spectrum of nucleic acid metabolism processes, such as DNA replication, repair, recombination, transcription and telomere stability. RecQ helicases are ubiquitously expressed and conserved in all kingdoms of life. Human cells express five different RecQ enzymes, RecQ1, BLM, WRN, RecQ4 and RecQ5, which all exhibit individual as well as overlapping functions in the maintenance of genomic integrity. Dysfunction of three human RecQ helicases, BLM, WRN and RecQ4, causes different heritable cancer susceptibility syndromes, supporting the theory that genomic instability is a molecular driving force for cancer development. However, based on their inherent DNA protective nature, RecQ helicases represent a double-edged sword in the maintenance of genomic integrity. While their activity in normal cells is essential to prevent cancerogenesis and cellular aging, cancer cells may exploit this DNA protective function by the overexpression of many RecQ helicases, aiding to overcome the disadvantageous results of unchecked DNA replication and simultaneously gaining resistance against chemotherapeutic drugs. Therefore, detailed knowledge how RecQ helicases warrant genomic integrity is required to understand their implication in cancerogenesis and aging, thus setting the stage to develop new strategies towards the treatment of cancer.
The current study presents and discusses the first high-resolution X-ray structure of the human RecQ4 helicase. The structure encompasses the conserved RecQ4 helicase core, including a large fraction of its unique C- terminus. Our structural analysis of the RecQ4 model highlights distinctive differences and unexpected similarities to other, structurally conserved, RecQ helicases and permits to draw conclusions about the functional implications of the unique domains within the RecQ4 C-terminus. The biochemical characterization of various RecQ4 variants provides functional insights into the RecQ4 helicase mechanism, suggesting that RecQ4 might utilize an alternative DNA strand separation technique, compared to other human RecQ family members. Finally, the RecQ4 model permits for the first time the analysis of multiple documented RecQ4 patient mutations at the atomic level and thus provides the possibility for an advanced interpretation of particular structure-function relationships in RecQ4 pathogenesis.
Time-resolved optical spectroscopy has become an important tool to investigate the dynamics of quantum mechanical processes in matter. In typical applications, a first “pump” pulse excites the system under investigation from the thermal equilibrium to an excited state, and a second variable time-delayed “probe” pulse then maps the dynamics of the excited system. Although advanced nonlinear techniques have been developed to investigate, e.g., coherent quantum effects, all of these techniques are limited in their spatial resolution. The laser focus diameter has a lower bound given by Abbe’s diffraction limit, which is roughly half the optical excitation wavelength—corresponding to about 400nm in the presented experiments. In the time-resolved experiments that have been suggested so far, averaging over the sample volume within this focus cannot be avoided. In this thesis, two approaches were developed to overcome the diffraction limit in optical spectroscopy and to enable the investigation of coherent processes on the nanoscale. In the first approach, analytic solutions were found to calculate optimal polarizationshaped laser pulses that provide optical near-field pump–probe pulse sequences in the vicinity of a nanostructure. These near-field pulse sequences were designed to allow excitation of a quantum system at one specific position at a certain time and probing at a different position at a later time. In the second approach, the concept of coherent two-dimensional (2D) spectroscopy, which has had great impact on the investigation of coherent quantum effects in recent years, was combined with photoemission electron microscopy, which yields a spatial resolution well below the optical diffraction limit. Using the analytic solutions, optical near fields were investigated in terms of spectroscopic applications. Near fields that are excited with polarization-shaped femtosecond laser pulses in the vicinity of appropriate nanostructures feature two properties that are especially interesting in the view of spectroscopic applications: On the one hand, control of the spatial distribution of the optical fields is achieved on the order of nanometers. On the other hand, the temporal evolution of these fields can be adjusted on the order of femtoseconds. In this thesis, solutions were found to calculate the optimal polarizationshaped laser pulses that control the near field in a general manner. The main idea to achieve this deterministic control was to disentangle the spatial and temporal near-field control. First, the spatial distribution of the optical near field was controlled by assigning the correct state of polarization for each frequency within the polarization-shaped laser pulse independently. The remaining total phase—not employed for spatial control—was then used for temporal near-field compression, which, in experimental applications, would lead to an enhancement of the nonlinear signal at the respective location. In contrast to the use of optical near fields, where pump–probe sequences themselves are localized below the diffraction limit and the detection does not have to provide the spatial resolution, a different approach was suggested in this thesis to gain spectroscopic information on the nanoscale. The new method was termed “Coherent two-dimensional (2D) nanoscopy” and transfers the concept of “conventional” coherent 2D spectroscopy to photoemission electron microscopy. The pulse sequences used for the investigation of quantum systems in this method are still limited by diffraction. However, the new key concept is to detect locally generated photoelectrons instead of optical signals. This yields a spatial resolution that is well below the optical diffraction limit. In “conventional” 2D spectroscopy a triple-pulse sequence initiates a four wave mixing process that creates a coherence. In a quantum mechanical process, this coherence is converted into a population by emission of an electric field, which is measured in the experiment. Contrarily, in the developed 2D nanoscopy, four-wave mixing is initiated by a quadruple-pulse sequence, which leaves the quantum system in an electronic population. This electronic population carries coherent information about the investigated quantum system and can be mapped with a spatial resolution down to a few nanometers given by the spatial resolution of the photoemission electron microscope. Hence, 2D nanoscopy can be considered a generalization of time-resolved photoemission experiments. In the future, it may be of similar beneficial value for the field of photoemission research as “conventional” 2D spectroscopy has proven to be for optical spectroscopy and nuclear magnetic resonance experiments. In a first experimental implementation of coherent 2D nanoscopy coherent processes on a corrugated silver surface were measured and unexpected long coherence lifetimes could be determined.
This thesis deals with a new so-called sequential quadratic Hamiltonian (SQH) iterative scheme to solve optimal control problems with differential models and cost functionals ranging from smooth to discontinuous and non-convex. This scheme is based on the Pontryagin maximum principle (PMP) that provides necessary optimality conditions for an optimal solution. In this framework, a Hamiltonian function is defined that attains its minimum pointwise at the optimal solution of the corresponding optimal control problem. In the SQH scheme, this Hamiltonian function is augmented by a quadratic penalty term consisting of the current control function and the control function from the previous iteration. The heart of the SQH scheme is to minimize this augmented Hamiltonian function pointwise in order to determine a control update. Since the PMP does not require any differ- entiability with respect to the control argument, the SQH scheme can be used to solve optimal control problems with both smooth and non-convex or even discontinuous cost functionals. The main achievement of the thesis is the formulation of a robust and efficient SQH scheme and a framework in which the convergence analysis of the SQH scheme can be carried out. In this framework, convergence of the scheme means that the calculated solution fulfills the PMP condition. The governing differential models of the considered optimal control problems are ordinary differential equations (ODEs) and partial differential equations (PDEs). In the PDE case, elliptic and parabolic equations as well as the Fokker-Planck (FP) equation are considered. For both the ODE and the PDE cases, assumptions are formulated for which it can be proved that a solution to an optimal control problem has to fulfill the PMP. The obtained results are essential for the discussion of the convergence analysis of the SQH scheme. This analysis has two parts. The first one is the well-posedness of the scheme which means that all steps of the scheme can be carried out and provide a result in finite time. The second part part is the PMP consistency of the solution. This means that the solution of the SQH scheme fulfills the PMP conditions. In the ODE case, the following results are obtained that state well-posedness of the SQH scheme and the PMP consistency of the corresponding solution. Lemma 7 states the existence of a pointwise minimum of the augmented Hamiltonian. Lemma 11 proves the existence of a weight of the quadratic penalty term such that the minimization of the corresponding augmented Hamiltonian results in a control updated that reduces the value of the cost functional. Lemma 12 states that the SQH scheme stops if an iterate is PMP optimal. Theorem 13 proves the cost functional reducing properties of the SQH control updates. The main result is given in Theorem 14, which states the pointwise convergence of the SQH scheme towards a PMP consistent solution. In this ODE framework, the SQH method is applied to two optimal control problems. The first one is an optimal quantum control problem where it is shown that the SQH method converges much faster to an optimal solution than a globalized Newton method. The second optimal control problem is an optimal tumor treatment problem with a system of coupled highly non-linear state equations that describe the tumor growth. It is shown that the framework in which the convergence of the SQH scheme is proved is applicable for this highly non-linear case. Next, the case of PDE control problems is considered. First a general framework is discussed in which a solution to the corresponding optimal control problem fulfills the PMP conditions. In this case, many theoretical estimates are presented in Theorem 59 and Theorem 64 to prove in particular the essential boundedness of the state and adjoint variables. The steps for the convergence analysis of the SQH scheme are analogous to that of the ODE case and result in Theorem 27 that states the PMP consistency of the solution obtained with the SQH scheme. This framework is applied to different elliptic and parabolic optimal control problems, including linear and bilinear control mechanisms, as well as non-linear state equations. Moreover, the SQH method is discussed for solving a state-constrained optimal control problem in an augmented formulation. In this case, it is shown in Theorem 30 that for increasing the weight of the augmentation term, which penalizes the violation of the state constraint, the measure of this state constraint violation by the corresponding solution converges to zero. Furthermore, an optimal control problem with a non-smooth L\(^1\)-tracking term and a non-smooth state equation is investigated. For this purpose, an adjoint equation is defined and the SQH method is used to solve the corresponding optimal control problem. The final part of this thesis is devoted to a class of FP models related to specific stochastic processes. The discussion starts with a focus on random walks where also jumps are included. This framework allows a derivation of a discrete FP model corresponding to a continuous FP model with jumps and boundary conditions ranging from absorbing to totally reflecting. This discussion allows the consideration of the drift-control resulting from an anisotropic probability of the steps of the random walk. Thereafter, in the PMP framework, two drift-diffusion processes and the corresponding FP models with two different control strategies for an optimal control problem with an expectation functional are considered. In the first strategy, the controls depend on time and in the second one, the controls depend on space and time. In both cases a solution to the corresponding optimal control problem is characterized with the PMP conditions, stated in Theorem 48 and Theorem 49. The well-posedness of the SQH scheme is shown in both cases and further conditions are discussed that ensure the convergence of the SQH scheme to a PMP consistent solution. The case of a space and time dependent control strategy results in a special structure of the corresponding PMP conditions that is exploited in another solution method, the so-called direct Hamiltonian (DH) method.
The discovery of the Giant Magneto Resistance (GMR) effect in 1988 by Albert Fert [Baib 88] and Peter Grünberg [Bina 89] led to a rapid development of the field of spintronics and progress in the information technology. Semiconductor based spintronics, which appeared later, offered a possibility to combine storage and processing in a single monolithic device. A direct result is reduced heat dissipation. The observation of the spin Seebeck effect by Ushida [Uchi 08] in 2008 launched an increased interest and encouraged research in the field of spin caloritronics. Spintronics is about the coupling of charge and spin transport. Spin caloritronics studies the interaction between heat and spin currents. In contrast to spintronics and its variety of applications, a particular spin-caloritronic device has not yet been demonstrated. However, many of the novel phenomena in spin caloritronics can be detected in most spintronic devices. Moreover, thermoelectric effects might have a significant influence on spintronic device operation. This will be of particular interest for this work. Additional knowledge on the principle of coupling between heat and spin currents uncovers an alternative way to control heat dissipation and promises new device functionalities.
This thesis aims to further extend the knowledge on thermoelectrics in materials with strong spin-orbit coupling, in this case the prototypical ferromagnetic semiconductor (Ga,Mn)As. The study is focused on the thermoelectric / thermomagnetic effects at the interface between a normal metal and the ferromagnetic (Ga,Mn)As. In such systems, the different interfaces provide a condition for minimal phonon drag contribution to the thermal effects. This suggests that only band contributions (a diffusion transport regime) to these effects will be measured.
Chapter 2 begins with an introduction on the properties of the studied material system, and basics on thermoelectrics and spin caloritronics. The characteristic anisotropies of the (Ga,Mn)As density of states (DOS) and the corresponding magnetic properties are described. The DOS and magnetic anisotropies have an impact on the transport prop- erties of the material and that results in effects like tunneling anisotropic magnetores- istance (TAMR) [Goul 04]. Some of these effects will be used later as a reference to the results from thermoelectric / thermomagnetic measurements. The Fingerprint tech- nique [Papp 07a] is also described. The method gives an opportunity to easily study the anisotropies of materials in different device geometries.
Chapter 3 continues with the experimental observation of the diffusion thermopower of (Ga,Mn)As / Si-doped GaAs tunnel junction. A device geometry for measuring the diffusion thermopower is proposed. It consists of a Si - doped GaAs heating channel with a Low Temperature (LT) GaAs / (Ga,Mn)As contact (junction) in the middle of the channel. A single Ti / Au contact is fabricated on the top of the junction. For transport characterization, the device is immersed in liquid He. A heating current technique is used to create a temperature difference by local heating of the electron system on the Si:GaAs side. An AC current at low frequency is sent through the channel and it heats the electron population in it, while the junction remains at liquid He temperature (experimentally con- firmed). A temperature difference arises between the heating channel and the (Ga,Mn)As contact. As a result, a thermal (Seebeck) voltage develops across the junction, which we call tunnelling anisotropic magneto thermopower (TAMT), similar to TAMR. TAMT is detected by means of a standard lock-in technique at double the heating current frequency (at 2f ). The Seebeck voltage is found to be linear with the temperature difference. That dependence suggests a diffusion transport regime. Lattice (phonon drag) contribution to the thermovoltage, which is usually highly nonlinear with temperature, is not observed.
The value of the Seebeck coefficient of the junction at 4.2 K is estimated to be 0.5 µV/K.
It is about three orders of magnitude smaller than the previously reported one [Pu 06]. Subsequently, the thermal voltage is studied in external magnetic fields. It is found that the thermopower is anisotropic with the magnetization direction. The anisotropy is explained with the anisotropies of the (Ga,Mn)As contact. Further, switching events are detected in the thermopower when the magnetic field is swept from negative to positive fields. The switchings remind of a spin valve signal and is similar to the results from previous experiments on spin injection using a (Ga,Mn)As contacts in a non-local detection scheme. That shows the importance of the thermoelectric effects and their possible contribution to the spin injection measurements. A polar plot of the collected switching fields for different magnetization angles reveals a biaxial anisotropy and resembles earlier TAMR measurements of (Ga,Mn)As tunnel junction. A simple cartoon model is introduced to describe and estimate the expected thermopower of the studied junction. The model yields a Fermi level inside of the (Ga,Mn)As valence band. Moreover, the model is found to be in good agreement with the experimental results.
The Nernst effect of a (Ga,Mn)As / GaAs tunnel junction is studied in Chapter 4. A modified device geometry is introduced for this purpose. Instead of a single contact on the top of the square junction, four small contacts are fabricated to detect the Nernst signal. A temperature difference is maintained by means of a heating current technique described in Chapter 3. A magnetic field is applied parallel to the device plane. A voltage drop across two opposite contacts is detected at 2f. It appears that a simple cosine function with a parameter the angle between the magnetization and the [100] crystal direction in the (Ga,Mn)As layer manages to describe this signal which is attributed to the anomalous Nernst effect (ANE) of the ferromagnetic contact. Its symmetry is different than the Seebeck effect of the junction. For the temperature range of the thermopower measurements the ANE coefficient has a linear dependence on the temperature difference (∆T). For higher ∆T, a nonlinear dependence is observed for the coefficient. The ANE coefficient is found to be several orders of magnitude smaller than any Nernst coefficient in the literature. Both the temperature difference and the size of the ANE coefficient require further studies and analysis. Switching events are present in the measured Nernst signal when the magnetic field is swept from positive to negative values. These switchings are related to the switching fields in the ferromagnetic (Ga,Mn)As. Usually, there are two states which are present in TAMR or AMR measurements - low and high resistance. Instead of that, the Nernst signal appears to have three states - high, middle and low thermomagnetic voltage. That behaviour is governed not only by the magnetization, but also by the characteristic of the Nernst geometry.
Chapter 5 summarizes the main observations of this thesis and contains ideas for future work and experiments.
The learned helplessness phenomenon is a specific animal behavior induced by prior exposure to uncontrollable aversive stimuli. It was first found by Seligman and Maier (1967) in dogs and then has been reported in many other species, e.g. in rats (Vollmayr and Henn, 2001), in goldfishes (Padilla, 1970), in cockroaches (Brown, 1988) and also in fruit flies (Brown, 1996; Bertolucci, 2008). However, the learned helplessness effect in fruit flies (Drosophila melanogaster) has not been studied in detail. Thus, in this doctoral study, we investigated systematically learned helplessness behavior of Drosophila for the first time.
Three groups of flies were tested in heatbox. Control group was in the chambers experiencing constant, mild temperature. Second group, master flies were punished in their chambers by being heated if they stopped walking for 0.9s. The heat pulses ended as soon as they resumed walking again. A third group, the yoked fly, was in their chambers at the same time. However, their behavior didn’t affect anything: yoked flies were heated whenever master flies did, with same timing and durations. After certain amount of heating events, yoked flies associated their own behavior with the uncontrollability of the environment. They suppressed their innate responses such as reducing their walking time and walking speed; making longer escape latencies and less turning around behavior under heat pulses. Even after the conditioning phase, yoked flies showed lower activity level than master and control flies. Interestingly, we have also observed sex dimorphisms in flies. Male flies expressed learned helplessness not like female flies. Differences between master and yoked flies were smaller in male than in female flies. Another interesting finding was that prolonged or even repetition of training phases didn’t enhance learned helplessness effect in flies.
Furthermore, we investigated serotonergic and dopaminergic nervous systems in learned helplessness. Using genetic and pharmacological manipulations, we altered the levels of serotonin and dopamine in flies’ central nervous system. Female flies with reduced serotonin concentration didn’t show helpless behavior, while the learned helplessness effect in male flies seems not to be affected by a reduction of serotonin. Flies with lower dopamine level do not display the learned helplessness effect in the test phase, suggesting that with low dopamine the motivational change in learned helplessness in Drosophila may decline faster than with a normal dopamine level.
In this work, multi-particle quantum optimal control problems are studied in the framework of time-dependent density functional theory (TDDFT).
Quantum control problems are of great importance in both fundamental research and application of atomic and molecular systems. Typical applications are laser induced chemical reactions, nuclear magnetic resonance experiments, and quantum computing.
Theoretically, the problem of how to describe a non-relativistic system of multiple particles is solved by the Schrödinger equation (SE). However, due to the exponential increase in numerical complexity with the number of particles, it is impossible to directly solve the Schrödinger equation for large systems of interest. An efficient and successful approach to overcome this difficulty is the framework of TDDFT and the use of the time-dependent Kohn-Sham (TDKS) equations therein.
This is done by replacing the multi-particle SE with a set of nonlinear single-particle Schrödinger equations that are coupled through an additional potential.
Despite the fact that TDDFT is widely used for physical and quantum chemical calculation and software packages for its use are readily available, its mathematical foundation is still under active development and even fundamental issues remain unproven today.
The main purpose of this thesis is to provide a consistent and rigorous setting for the TDKS equations and of the related optimal control problems.
In the first part of the thesis, the framework of density functional theory (DFT) and TDDFT are introduced. This includes a detailed presentation of the different functional sets forming DFT. Furthermore, the known equivalence of the TDKS system to the original SE problem is further discussed.
To implement the TDDFT framework for multi-particle computations, the TDKS equations provide one of the most successful approaches nowadays. However, only few mathematical results concerning these equations are available and these results do not cover all issues that arise in the formulation of optimal control problems governed by the TDKS model.
It is the purpose of the second part of this thesis to address these issues such as higher regularity of TDKS solutions and the case of weaker requirements on external (control) potentials that are instrumental for the formulation of well-posed TDKS control problems. For this purpose, in this work, existence and uniqueness of TDKS solutions are investigated in the Galerkin framework and using energy estimates for the nonlinear TDKS equations.
In the third part of this thesis, optimal control problems governed by the TDKS model are formulated and investigated. For this purpose, relevant cost functionals that model the purpose of the control are discussed.
Henceforth, TDKS control problems result from the requirement of optimising the given cost functionals subject to the differential constraint given by the TDKS equations. The analysis of these problems is novel and represents one of the main contributions of the present thesis.
In particular, existence of minimizers is proved and their characterization by TDKS optimality systems is discussed in detail.
To this end, Fréchet differentiability of the TDKS model and of the cost functionals is addressed considering \(H^1\) cost of the control.
This part is concluded by deriving the reduced gradient in the \(L^2\) and \(H^1\) inner product.
While the \(L^2\) optimization is widespread in the literature, the choice of the \(H^1\) gradient is motivated in this work by theoretical consideration and by resulting numerical advantages.
The last part of the thesis is devoted to the numerical approximation of the TDKS optimality systems and to their solution by gradient-based optimization techniques.
For the former purpose, Strang time-splitting pseudo-spectral schemes are discussed including a review of some recent theoretical estimates for these schemes and a numerical validation of these estimates.
For the latter purpose, nonlinear (projected) conjugate gradient methods are implemented and are used to validate the theoretical analysis of this thesis with results of numerical experiments with different cost functional settings.
A theory of managed floating
(2003)
After the experience with the currency crises of the 1990s, a broad consensus has emerged among economists that such shocks can only be avoided if countries that decided to maintain unrestricted capital mobility adopt either independently floating exchange rates or very hard pegs (currency boards, dollarisation). As a consequence of this view which has been enshrined in the so-called impossible trinity all intermediate currency regimes are regarded as inherently unstable. As far as the economic theory is concerned, this view has the attractive feature that it not only fits with the logic of traditional open economy macro models, but also that for both corner solutions (independently floating exchange rates with a domestically oriented interest rate policy; hard pegs with a completely exchange rate oriented monetary policy) solid theoretical frameworks have been developed. Above all the IMF statistics seem to confirm that intermediate regimes are indeed less and less fashionable by both industrial countries and emerging market economies. However, in the last few years an anomaly has been detected which seriously challenges this paradigm on exchange rate regimes. In their influential cross-country study, Calvo and Reinhart (2000) have shown that many of those countries which had declared themselves as ‘independent floaters’ in the IMF statistics were charaterised by a pronounced ‘fear of floating’ and were actually heavily reacting to exchange rate movements, either in the form of an interest rate response, or by intervening in foreign exchange markets. The present analysis can be understood as an approach to develop a theoretical framework for this managed floating behaviour that – even though it is widely used in practice – has not attracted very much attention in monetary economics. In particular we would like to fill the gap that has recently been criticised by one of the few ‘middle-ground’ economists, John Williamson, who argued that “managed floating is not a regime with well-defined rules” (Williamson, 2000, p. 47). Our approach is based on a standard open economy macro model typically employed for the analysis of monetary policy strategies. The consequences of independently floating and market determined exchange rates are evaluated in terms of a social welfare function, or, to be more precise, in terms of an intertemporal loss function containing a central bank’s final targets output and inflation. We explicitly model the source of the observable fear of floating by questioning the basic assumption underlying most open economy macro models that the foreign exchange market is an efficient asset market with rational agents. We will show that both policy reactions to the fear of floating (an interest rate response to exchange rate movements which we call indirect managed floating, and sterilised interventions in the foreign exchange markets which we call direct managed floating) can be rationalised if we allow for deviations from the assumption of perfectly functioning foreign exchange markets and if we assume a central bank that takes these deviations into account and behaves so as to reach its final targets. In such a scenario with a high degree of uncertainty about the true model determining the exchange rate, the rationale for indirect managed floating is the monetary policy maker’s quest for a robust interest rate policy rule that performs comparatively well across a range of alternative exchange rate models. We will show, however, that the strategy of indirect managed floating still bears the risk that the central bank’s final targets might be negatively affected by the unpredictability of the true exchange rate behaviour. This is where the second policy measure comes into play. The use of sterilised foreign exchange market interventions to counter movements of market determined exchange rates can be rationalised by a central bank’s effort to lower the risk of missing its final targets if it only has a single instrument at its disposal. We provide a theoretical model-based foundation of a strategy of direct managed floating in which the central bank targets, in addition to a short-term interest rate, the nominal exchange rate. In particular, we develop a rule for the instrument of intervening in the foreign exchange market that is based on the failure of foreign exchange market to guarantee a reliable relationship between the exchange rate and other fundamental variables.
Efficient quadrupolar chromophores (A–pi–A) with triarylborane moieties as acceptors have been studied by the Marder group regarding their non‐linear optical properties and two‐photon absorption ability for many years. Within the present work, this class of dyes found applications in live‐cell imaging. Therefore, the dyes need to be water‐soluble and water‐stable in diluted aqueous solutions, which was examined in Chapter 2. Furthermore, the influence of the pi‐bridge on absorption and emission maxima, fluorescence quantum yields and especially the two-photon absorption properties of the chromophores was investigated in Chapter 3. In Chapter 4, a different strategy for the design of efficient two‐photon excited fluorescence imaging dyes was explored using dipoles (D–A) and octupoles (DA3). Finding the optimum balance between water‐stability and pi‐conjugation and, therefore, red‐shifted absorption and emission and high fluorescence quantum yields, was investigated in Chapter 5
Extracellular signals are translated and amplified via cascades of serially switched protein kinases, MAP kinases (MAPKs). One of the MAP pathways, the classical RAS/RAF/MEK/ERK pathway, transduces signals from receptor tyrosine kinases and plays a central role in regulation of cell proliferation. RAF kinases (A-, B- and C-RAF) function atop of this cascade and convert signals emanating from conformational change of RAS GTPases into their kinase activity, which in turn phosphorylates their immediate substrate, MEK. Disregulated kinase activity of RAF can result in tumor formation, as documented for many types of cancer, predominantly melanomas and thyroid carcinomas (B-RAF). A-RAF is the least characterized RAF, possibly due to its low intrinsic kinase activity and comparatively mild phenotype of A-RAF knockout mice. Nevertheless, the unique phenotype of araf -/- mice, showed predominantly neurological abnormalities such as cerebellum disorders, suggesting that A-RAF participates in a specific process not complemented by activities of B- and CRAF. Here we describe the role of A-RAF in membrane trafficking and identify its function in a specific step of endocytosis. This work led to the discovery of a C-terminally truncated version of A-RAF, AR149 that strongly interfered with cell growth and polarization in yeast and with endocytosis and actin polymerization in mammalian cells. As this work was in progress two splicing isoforms of ARAF, termed DA-RAF1 and DA-RAF2 were described that act as natural inhibitors of RAS-ERK signaling during myogenic differentiation (Yokoyama et al., 2007). DA-RAF2 contains the first 153 aa of A-RAF and thus is nearly identical with AR149. AR149 localized specifically to the recycling endosomal compartments as confirmed by colocalization and coimmunoprecipitation with ARF6. Expression of AR149 interferes with recycling of endocytosed transferrin (Tfn) and with actin polymerization. The endocytic compartment, where internalized Tfn is trapped, was identified as ARF6- and RAB11- positive endocytic vesicles. We conclude that the inhibition of Tfn trafficking in the absence of A-RAF or under overexpression of AR149 occurs between tubular- and TGNassociated recycling endosomal compartments. siRNA-mediated depletion of endogenous A-RAF or inhibition of MEK by U0126 mimic the AR149 overexpression phenotype, supporting a role of ARAF regulated ERK signalling at endosomes that is controlled by AR149 and targets ARF6. Our data additionally suggest EFA6 as a partner of A-RAF during activation of ARF6. The novel findings on the A-RAF localization and the interaction with ARF6 have led to a new model of ARAF function were A-RAF via activation of ARF6 controls the recycling of endocytic vesicles.Endocytosis and rapid recycling of synaptic vesicles is critically important for the physiological function of neurons. The finding, that A-RAF regulates endocytic recycling open a new perspective for investigation of the role of A-RAF in the nervous system.
Recently, it was shown that MDA-MB-231 breast cancer cells express very high levels of the A2BAR as the sole adenosine receptor subtype, and stimulation of the A2BAR in MDA-MB-231 cells triggers an unusual inhibitory signal on ERK1/2 phosphorylation. The ERK1/2 pathway is reported to be associated with the control of growth, proliferation and differentiation of cells and as such might serve as a promising target for tumor treatment. The present study investigated signaling mechanisms involved in linking A2BAR to ERK1/2 phosphorylation in MDA-MB-231 cells. The A2BAR mediated reduction of ERK1/2 phosphorylation and of proliferation of MDA-MB-231 cell is in good agreement with previous results from (Dubey et al., 2005). These observations provide support to the hypothesis that activation of A2BAR could attenuate the growth of some types of cancer cell and argue against a stimulation of proliferation resulting from the activation of A2BAR as discussed by (Fernandez-Gallardo et al., 2016). AC activation by forskolin has recently been shown to enhance the activity of the chemotherapeutic agent doxorubicin in TNBC cells via a mechanism dependent on the PKA-mediated inhibition of ERK1/2 phosphorylation. Furthermore, forskolin also increased the sensitivity of MDA-MB-231 and MDA-MB-468 triple negative breast cancer cells to 5-fluorouracil and taxol (Illiano et al., 2018), and sustains the evidence of anticancer activity mediated by cAMP/PKA-mediated ERK1/2 inhibition. Similar to these studies, a reduced amount of pERK1/2 was also observed after stimulation of AC with FSK, application of cAMP-AM or inhibition of PDE-4. The inhibition of ERK1/2 phosphorylation was mimicked by UTP and abolished with the PLC inhibitor U73122 or by chelating intracellular Ca2+ with BAPTA-AM. These results point to an important role for both cAMP and Ca2+ signaling in the pathway leading to a decrease in ERK1/2 phosphorylation. This study encourages the idea that A2BAR could be used as target in cancer therapy. But A2BAR did not only stimulate signaling cascades associated with cell survival and proliferation reduction, but also key phases relevant in angiogenesis like Ca2+ mobilization (Kohn et al., 1995). Whereas the potency toward AC and Ca2+ are similar for the diverse agonists, the potency to promote ERK1/2 reduction is much higher. Interestingly, the proliferation of MDA-MB-231 cells is inhibited by low nanomolar agonist concentration which is inactive in Ca2+ mobilization. This means that it is certainly possible to reduce the proliferation without promoting angiogenesis. LUF6210 is particularly interesting when considering that it preferentially stimulates a reduction in ERK1/2 phosphorylation over Ca2+ and therefore may not promote angiogenesis. LUF6210 is therapeutically appealing as adjuvant in treatment of cancer. Given that stimulation of AC can activate a reduction of ERK1/2 phosphorylation and proliferation in cancer cells, agonist bias toward Gs-AC-PKA-mediated ERK1/2 inhibition represent a potential therapy of various malignancies. The fact that the reduction of ERK1/2 phosphorylation followed by reduced proliferation observed in MDA-MB-231 cells were mediated by the activation of the A2BAR illustrates the importance of this receptor subtype in cancer. A2BARs must be considered as a key factor in cancer treatment and deserve attention for the development of new therapeutic strategies.
In the present study numerical methods are employed within the framework of multiscale modeling. Quantum mechanics and finite element method simulations have been used in order to calculate thermoelastic properties of ceramics. At the atomic scale, elastic constants of ten different ceramics (Al2O3, alpha- and beta-SiC, TiO2-rutile and anatase, AlN, BN, CaF2, TiB2, ZrO2) were calculated from the first principles (ab-initio) using the density functional theory with the general gradient approximation. The simulated elastic moduli were compared with measured values. These results have shown that the ab-initio computations can be used independently from experiment to predict elastic behavior and can provide a basis for the modeling of structural and elastic properties of more complex composite ceramics. In order to simulate macroscopic material properties of composite ceramics from the material properties of the constituting phases, 3D finite element models were used. The influence of microstructural features such as pores and grain boundaries on the effective thermoelastic properties is studied through a diversity of geometries like truncated spheres in cubic and random arrangement, modified Voronoi polyhedra, etc. A 3D model is used for modeling the microstructure of the ceramic samples. The measured parameters, like volume fractions of the two phases, grain size ratios and grain boundary areas are calculated for each structure. The theoretical model is then varied to fit the geometrical data derived from experimental samples. The model considerations are illustrated on two types of bi-continuous materials, a porous ceramic, alumina (Al2O3) and a dense ceramic, zirconia-alumina composite (ZA). For the present study, alumina samples partially sintered at temperatures between 800 and 1320 C, with fractional densities between 58.4% and 97% have been used. For ZA ceramic the zirconia powder was partially stabilized and the ratio between alumina and zirconia was varied. For these two examples of ceramics, Young’s modulus and thermal conductivity were calculated and compared to experimental data of samples of the respective microstructure. Comparing the experimental and simulated values of Young’s modulus for Al2O3 ceramic a good agreement was obtained. For the thermal conductivity the consideration of thermal boundary resistance (TBR) was necessary. It was shown that for different values of TBR the experimental data lie within the simulated thermal conductivities. In the case of ZA ceramic also a good agreement between simulated and experimental values was observed. For smaller ZrO2 fractions, a larger Young’s modulus and thermal conductivity was observed in the experimental samples. The discrepancies have been discussed by taking into account the effect of pressure. Considering the dependence of the thermoelastic properties on the pressure, it has been shown that the thermal stresses resulting from the cooling process were insufficient to explain the discrepancies between experimental and simulated thermoelastic properties.
The present work consists of two parts. The first one deals with theoretical questions and tests the performance of orbitals obtained from a self-interaction free KS method, the LHFapproach, in multireference ab initio methods. The purpose of this part is to enable a more efficient computation of excitation energies, which is important for the spectroscopic characterization of many organic and bioorganic molecules. The second part focuses on bioorganic questions and studies the base pairing properties of the purine base xanthine in order to explain, e.g., the unusually high stability of selfpairing xanthine alanyl-PNA double strands and the mutagenicity of xanthine formed in DNA. Part1: In contrast to HF- and standard DFT-methods, the LHF-approach leads to a fully bound virtual orbital spectrum, because Coulomb self interactions are exactly canceled in the LHFansatz. Furthermore, the energies of the occupied orbitals are not upshifted, like it is the case for standard DFT-methods, so that Koopmans' theorem remains valid. In line with this, also the occupied LHF-orbitals are somewhat more compact than standard DFT-orbitals. The present work shows that both properties are of great benefit for MR methods. The virtual LHF-orbitals are well optimized and allow an efficient description of excited states and static correlation in both MRCI- and MRPT2-approaches. Furthermore, the higher compactness of the occupied LHF- compared to standard DFT-orbitals leads to a better description of the center ion of Rydberg states. However, for each of the two advantages mentioned at least one example molecule has been found, for which LHF-orbitals actually perform worse than HF-and/or standard DFT-orbitals. This shows, that even though LHF virtual orbitals allow an excellent MRCI- and MRPT2-description for the electronically excited states of a large number of molecules, this cannot be generalized and their performance needs to be tested for each individual case. In the second part of the present work, the base pairing properties of xanthine and xanthine derivatives were studied. The purpose of this part was to find an explanation for the unexpectedly high stability of the xanthine alanyl PNA double strand. Furthermore, it was analyzed, why xanthine, that is formed from guanine in DNA under chemical stress, is able to form mismatched base pairs with the pyrimidine base thymine. Stability of xanthine alanyl PNA: In the first step, the regioisomer present in the considered alanyl PNA was identified to be the N7-regioisomer of xanthine by a theoretical analysis of the 13C-NMR spectrum. To analyze the stability of the xanthine self-pairing, a simplified model was set up, in which the stability of the PNA double strand was explained solely by the energy contributions from H-bonding and base stacking. For that purpose, the dimerization and stacking energies for the xanthine-xanthine, guaninecytosine, adenine-thymine and xanthine-2,6-diaminopurine base pairs were computed using DFT and MP2 methods. Solvent effects were taken into account by the conductor like screening model. The influence of the peptide backbone on the stacking geometry was considered by force field optimizations. While the individual contributions from hydrogen bonding and stacking do not correlate with the melting temperature Tm, the sum of both correlates linearly with Tm. This correlation is somewhat surprising, because this means that the effects of the entropy and the molecular water environment either cancel or are similar for all systems compared. In this model, the stability of the xanthine selfpairing mainly stems from an enlarged stacking interaction, while the H-bonds give only minor contributions to the stability of the xanthine selfpaired double strand of alanyl-PNA. Base pairing properties of N9-Xanthine: The computation of the base pairing properties of N9-xanthine revealed a strong variation in the individual H-bond strengths for the selfpairing of xanthine, that range from -4 to -11 kcal/mol in the gas phase and -2.5 to -5 kcal/mol in polar solvent. By comparison with model systems it was shown that the strong variance of the H-bond strength is mainly due to attractive or repulsive secondary electrostatic interactions. For the homodimer of hypoxanthine it was shown that the increase of aromaticity in the pyrimidine ring upon dimer formation leads to a strengthening of the hydrogen bonds. Mutagenicity of hypoxanthine and xanthine: Several neutral and anionic Watson-Crick base pairs of xanthine were computed with MP2- and DFT-methods in order to explain the mutagenicity of hypoxanthine and xanthine. Also basepairs involving tautomeric forms of xanthine and hypoxanthine were considered. To evaluate the dimerization energies found, the dimers were classified into pairings that have the exact geometry of the canonical base pairs and those that realize a distorted Watson-Crick pairing mode. The computations show that a stable pairing which realizes the exact geometry of a canonical Watson Crick base pairing is only possible for the pairing of xanthine to cytosine, however, the base pairs are only weakly bound. The dimerization energies of both the neutral and the anionic pairing is around 0 kcal/mol, so that the xanthine-cytosine base pairs are incorporated into DNA solely because the base pairs fulfill the geometric demands of DNA polymerase, but it does not profit from any additional stabilization due to hydrogen bonding. The bonding that in the Watson-Crick pairing mode xanthine has almost no affinity to cytosine is in correspondence with the experimental result that the cytosine-xanthine base pair is incorporated into DNA at a much lower rate than the cytosine-guanine base pair, which has a very strong hydrogen bonding. While the affinity of xanthine to cytosine is very low, the computations predict that xanthine is able to form a stable Watson-Crick pairing with thymine. However, the pairing has a somewhat distorted Watson-Crick geometry, so that its high stability is outbalanced by the worsened fit to the binding pocket of DNA-polymerase. As a consequence, the xanthinethymine pairing is incorporated into DNA not at a faster, but only at a rate comparable to that of the xanthine-cytosine pairing.
Quantum chemical calculations of circular dichroism (CD) spectra in combination with experimental CD studies are one of the most efficient analytical tools for the elucidation of the three-dimensional structure of a chiral molecule. In the present work 18 chiral compounds of most different molecular structures and origins were investigated using various theoretical methods (the semiempirical CIS methods, the time-dependent DFT and DFT/MRCI approaches). The advantages and limitations of the applied methods were discussed in the context of the studied compounds. Furthermore, the last part of this work deals with the CD investigations of a chiral compound in the crystalline state. A well-known natural product with a specific conformation/CD spectrum behavior was used as a model compound to examine a novel solid-state CD method and to investigate the possibility of its improvement to provide a higher reliability for the assignment of the absolute configuration.
This work deals with the acceleration of cardiovascular MRI for the assessment
of functional information in steady-state contrast and for viability assessment
during the inversion recovery of the magnetization. Two approaches
are introduced and discussed in detail. MOCO-MAP uses an exponential
model to recover dynamic image data, IR-CRISPI, with its low-rank plus
sparse reconstruction, is related to compressed sensing.
MOCO-MAP is a successor to model-based acceleration of parametermapping
(MAP) for the application in the myocardial region. To this end, it
was augmented with a motion correction (MOCO) step to allow exponential
fitting the signal of a still object in temporal direction. Iteratively, this
introduction of prior physical knowledge together with the enforcement of
consistency with the measured data can be used to reconstruct an image
series from distinctly shorter sampling time than the standard exam (< 3 s
opposed to about 10 s). Results show feasibility of the method as well as
detectability of delayed enhancement in the myocardium, but also significant
discrepancies when imaging cardiac function and artifacts caused already by
minor inaccuracy of the motion correction.
IR-CRISPI was developed from CRISPI, which is a real-time protocol
specifically designed for functional evaluation of image data in steady-state
contrast. With a reconstruction based on the separate calculation of low-rank
and sparse part, it employs a softer constraint than the strict exponential
model, which was possible due to sufficient temporal sampling density via
spiral acquisition. The low-rank plus sparse reconstruction is fit for the use on
dynamic and on inversion recovery data. Thus, motion correction is rendered
unnecessary with it.
IR-CRISPI was equipped with noise suppression via spatial wavelet filtering.
A study comprising 10 patients with cardiac disease show medical
applicability. A comparison with performed traditional reference exams offer
insight into diagnostic benefits. Especially regarding patients with difficulty
to hold their breath, the real-time manner of the IR-CRISPI acquisition provides
a valuable alternative and an increase in robustness.
In conclusion, especially with IR-CRISPI in free breathing, a major acceleration
of the cardiovascular MR exam could be realized. In an acquisition
of less than 100 s, it not only includes the information of two traditional
protocols (cine and LGE), which take up more than 9.6 min, but also allows
adjustment of TI in retrospect and yields lower artifact level with similar
image quality.
In this work, accelerated non-Cartesian Magnetic Resonance Imaging (MRI) methods were established and applied to cardiovascular imaging (CMR) at different magnetic field strengths (3T and 7T).
To enable rapid data acquisition, highly efficient spiral k-space trajectories were created. In addition, hybrid sampling patterns such as the twisting radial lines (TWIRL) k-space trajectory were studied.
Imperfections of the dynamic gradient system of a MR scanner result in k-space sampling errors. Ultimately, these errors can lead to image artifacts in non-Cartesian acquisitions.
Among other reasons such as an increased reconstruction complexity, they cause the lack of spiral sequences in clinical routine compared to standard Cartesian imaging.
Therefore, the Gradient System Transfer Functions (GSTFs) of both scanners were determined and used for k-space trajectory correction in post-correction as well as in terms of a pre-emphasis.
The GSTF pre-emphasis was implemented as a fully automatic procedure, which enabled a precise correction of arbitrary gradient waveforms for double-oblique slice orientations.
Consequently, artifacts due to trajectory errors could be mitigated, which resulted in high image quality in non-Cartesian MRI.
Additionally, the GSTF correction was validated by measuring pre-emphasized spiral gradient outputs, which showed high agreement with the theoretical gradient waveforms.
Furthermore, it could be demonstrated that the performance of the GSTF correction is superior to a simple delay compensation approach.
The developed pulse sequences were applied to gated as well as real-time CMR. Special focus lied on the implementation of a spiral imaging protocol to resolve the beating heart of animals and humans in real time and free breathing.
In order to achieve real-time CMR with high spatiotemporal resolution, k-space undersampling was performed. For this reason, efficient sampling strategies were developed with the aim to facilitate compressed sensing (CS) during image reconstruction.
The applied CS approach successfully removed aliasing artifacts and yielded high-resolution cardiac image series. Image reconstruction was performed offline in all cases such that the images were not available immediately after acquisition at the scanner.
Spiral real-time CMR could be performed in free breathing, which led to an acquisition time of less than 1 minute for a whole short-axis stack.
At 3T, the results were compared to the gold standard of electrocardiogram-gated Cartesian CMR in breath hold, which revealed similar values for important cardiovascular functional and volumetric parameters.
This paves the way to an application of the developed framework in clinical routine of CMR.
In addition, the spiral real-time protocol was transferred to swallowing and speech imaging at 3T, and first images were presented.
The results were of high quality and confirm the straightforward utilization of the spiral sequence in other fields of MRI.
In general, the GSTF correction yielded high-quality images at both field strengths, 3T and 7T.
Off-resonance related blurring was mitigated by applying non-Cartesian readout gradients of short duration. At 7T, however, B1-inhomogeneity led to image artifacts in some cases.
All in all, this work demonstrated great advances in accelerating the MRI process by combining efficient, undersampled non-Cartesian k-space coverage with CS reconstruction.
Trajectory correction using the GSTF can be implemented at any scanner model and enables non-Cartesian imaging with high image quality.
Especially MRI of dynamic processes greatly benefits from the presented rapid imaging approaches.
The subject of this thesis is the controllability of interconnected linear systems, where the interconnection parameter are the control variables. The study of accessibility and controllability of bilinear systems is closely related to their system Lie algebra. In 1976, Brockett classified all possible system Lie algebras of linear single-input, single-output (SISO) systems under time-varying output feedback. Here, Brockett's results are generalized to networks of linear systems, where time-varying output feedback is applied according to the interconnection structure of the network. First, networks of linear SISO systems are studied and it is assumed that all interconnections are independently controllable. By calculating the system Lie algebra it is shown that accessibility of the controlled network is equivalent to the strong connectedness of the underlying interconnection graph in case the network has at least three subsystems. Networks with two subsystems are not captured by these proofs. Thus, we give results for this particular case under additional assumption either on the graph structure or on the dynamics of the node systems, which are both not necessary. Additionally, the system Lie algebra is studied in case the interconnection graph is not strongly connected. Then, we show how to adapt the ideas of proof to networks of multi-input, multi-output (MIMO) systems. We generalize results for the system Lie algebra on networks of MIMO systems both under output feedback and under restricted output feedback. Moreover, the case with generalized interconnections is studied, i.e. parallel edges and linear dependencies in the interconnection controls are allowed. The new setting demands to distinguish between homogeneous and heterogeneous networks. With this new setting only sufficient conditions can be found to guarantee accessibility of the controlled network. As an example, networks with Toeplitz interconnection structure are studied.
This thesis consists of two parts of original experimental work, its evaluation, and in- terpretation. Its final goal is to investigate dynamical charge transfer (CT) at a hetero- molecular interface with resonant photoelectron spectroscopy (RPES). In order to achieve this goal preliminary studies have been necessary. First two hetero-molecular inter- faces that exhibit adequate structural properties as well as an appropriate photoelec- tron spectroscopy (PES) spectrum of the valence regime have been identified. The de- sired CT analysis with RPES of these hetero-molecular systems is then conducted on the basis of the knowledge gained by previous RPES studies of homo-molecular sys- tems.
The characterization of hetero-molecular films on single crystal Ag surfaces in the first part of this thesis is performed with high resolution core level PES and valence PES. The reproduction of the core level PES data with reference spectra of homo-molecular films allows me to determine which molecule is in direct contact to the Ag surface and which one is situated in higher layers (not the first one). Due to the direct correspon- dence of core level and valence PES the assignment of features in the spectra of the latter technique can be achieved with the identification of the contributions extracted from the evaluation of the data of the former technique. It is found that the systems PTCDA on one monolayer (ML) of SnPc on Ag(111) and CuPc/1 ML PTCDA/Ag(111) are stable at 300 K which means that no significant layer exchange occurs for these systems. In contrast a vertical exchange of CuPc and PTCDA molecules is observed for PTCDA de- posited on top of 1 ML CuPc/Ag(111). Up to a coverage of approximately 0.5 ML of PTCDA molecules these diffuse into the first layer, replace CuPc molecules, and con- sequently force them into higher layers. Above a coverage of approximately 0.5 ML of PTCDA molecules these are also found in higher layers. The search for a promising system for the intended RPES study then leads to an investigation of hetero-molecular films with a combination of F4TCNQ and PTCDA molecules on Ag(110) within the same approach. Depositing F4TCNQ molecules onto a 1 ML PTCDA/Ag(110) film in the herringbone phase at 300 K results in an instable hetero-organic system which un- dergoes a layer exchange. Hereby PTCDA molecules in the first layer are replaced by F4TCNQ molecules similar to the behavior of the system PTCDA/1 ML CuPc/Ag(111). Switching the order of the preparation steps leads to a stable film of PTCDA/1.0 ML F4TCNQ/Ag(110) at 300 K. Among the stable hetero-molecular films only the system CuPc/1 ML PTCDA/Ag(111) exhibits the required wetting growth of the first two layers at 300 K and a valence PES spectrum with energetically separable molecular orbital signals in the same intensity range. Thus this system is identified to be appropriate for a detailed analysis with RPES.
The unexpected findings of vertical exchanges in the hetero-molecular films at 300 K motivate a study of the behavior at elevated temperatures for all systems investigated before. Therein it is revealed that annealing 1.5 ML SnPc/1 ML PTCDA/Ag(111) and
1.0 ML PTCDA/1 ML SnPc/Ag(111) to a temperature above the desorption temperature of molecules not in direct contact to the Ag(111) surface results in a 1 ML SnPc/Ag(111) film in both cases. Hence at elevated temperatures (approximately above 420 K) SnPc molecules replace PTCDA molecules in the first layer on Ag(111). At higher temper- atures (approximately above 470 K) PTCDA molecules and SnPc molecules situated above the first layer then desorb from the 1 ML SnPc/Ag(111) sample. Annealing all hetero-molecular films with CuPc and PTCDA molecules on Ag(111) to 570 K leads to a sample with CuPc and PTCDA molecules in the first and only layer. Depending on the initial CuPc coverage different ratios of both molecules are obtained. With a CuPc coverage of exactly 1 ML, or above, films with PTCDA coverages of approxi- mately 0.1–0.2 ML are produced. So at elevated temperatures CuPc molecules replace PTCDA molecules in the first layer of the system CuPc/1 ML PTCDA/Ag(111). Anal- ogously the layer exchange at 300 K for the system PTCDA/1 ML CuPc/Ag(111) is reversed at elevated temperatures. In the case of SnPc and CuPc coverages below 1 ML annealing vertical hetero-molecular systems with PTCDA on Ag(111) up to 570 K re- sults in a single layer of mixed hetero-molecular films with lateral long range order. In this way the system CuPc + PTCDA/Ag(111) is prepared and then characterized as a proper system for a detailed analysis with RPES. Additional annealing experiments of hetero-organic films consisting of F4TCNQ and PTCDA molecules on Ag(110) with an F4TCNQ coverage of 1.0 ML (and above) end in a submonolayer (sub-ML) film of F4TCNQ/Ag(110) that exhibits a contribution of amorphous carbon. Consequently, it can be concluded that at elevated temperatures part of the F4TCNQ molecules decom- pose.
In the second part of this thesis homo-molecular multilayer samples and (sub-)ML films on single crystalline metal surfaces are investigated with RPES in order to enable the final RPES study of vertical and lateral hetero-molecular interface systems. First a pho- ton energy (hν) dependent intensity variation of (groups of) molecular orbital signals of exemplary multilayer films (NTCDA and coronene) is studied and explained on the basis of the local character of the electronic transitions in near edge x-ray absorption fine structure (NEXAFS) spectroscopy in combination with the real space probability den- sity of the contributing molecular orbitals. This simple approach is found to be able to correctly describe relative intensity variations by orders of magnitude while it fails for hν dependent relative intensity changes in the same order of magnitude. After that the hν dependent line-shape evolution of an energetically separated molecular orbital signal of a CuPc multilayer is discussed in relation to small molecules in the gas phase and explained with an effect of electron vibration coupling. Through a comparison of the hν dependent line-shape evolution of the highest occupied molecular orbital (HOMO) of a CuPc with a SnPc multilayer the molecule specific character of this effect is identified. Then the same effect with either two (or more) electronic transitions or multiple coupling vibrational modes is observed for a coronene multilayer. Thereafter the influence of the adsorption on metal surfaces on this effect is studied and discussed with special emphasis on a possible contribution by features which are related to dynamical interface CT. For a sub-ML of SnPc/Au(111) no variation with respect to a SnPc multilayer film is detected while for a sub-ML of CuPc/Au(111) less intensity is distributed into the high binding energy (EB) part of the HOMO signal with respect to the corresponding multilayer film. In the RPES data of a sub-ML of coronene/Ag(111) a resonance specific variation of the hν dependent line-shape evolution of the HOMO signal is found by the revelation of a change of this effect with respect to the coronene multilayer data in only one of the two NEXAFS resonances. All these findings are consistently explained within one effect and a common set of parameters, namely all quantities that characterize the potential energy surfaces involved in the RPES process. Through that an alternative explanation that re- lies on dynamical CT can be excluded which influences the following CT analysis with RPES.
Three criteria for such an analysis of dynamical interface CT with RPES are identified. In the system coronene on Ag(111) a low EB feature is related to metal-molecule inter- face CT through the assignment of a particular final state and hence named CT state. In the EB region of the frontier molecular orbital signals of the molecule-metal inter- face systems with a signal from the lowest unoccupied molecular orbital (LUMO) in direct valence PES a broad line-shape is measured in RPES. This finding is related to interface CT by a possible explanation that emerges through the comparison to the line- shape of the CT state. The constant kinetic energy (EK ) features detected for several molecule-metal interfaces constitute the third criterion for a CT analysis with RPES. For the molecule-metal interface systems without a LUMO signal in direct valence PES the energy of these features can be calculated with the assignment of the responsible decay channel in combination with explicitly given simplifying assumptions. Through that the involvement of metal-molecule interface CT in the generation of these constant EK fea- tures is demonstrated. The RPES data of the lateral and the vertical hetero-molecular interface, identified in the first part, is then scanned for these three CT criteria. Thereby neither for the lateral hetero-molecular system CuPc + PTCDA/Ag(111) nor for the verti- cal hetero-molecular system CuPc/1 ML PTCDA/Ag(111) dynamical hetero-molecular interface CT can be confirmed. In the former system the molecule-metal interface in- teraction is found to dominate the physics of the system in RPES while in the latter system no hints for a significant hybridization at the CuPc-PTCDA interface can be revealed
Oxylipins are important biological active compounds that play essential roles in defense, growth, development, and reproduction of plants and animals. Oxylipins are formed either by enzymatic pathways or radical catalyzed reaction from polyunsaturated fatty acids. Products of oxidation of arachidonic acid (C20:4) in animals by enzymatic and non-enzymatic pathways are prostaglandins and isoprostanes, respectively. In plants, radical catalyzed reaction of -linolenic acid (C18:3) forms phytoprostanes and enzymatic oxidation of this fatty acid produces OPDA and jasmonic acid. Like plants, cyanobacterial membranes contain a high ratio of polyunsaturated fatty acid, about 25% of total fatty acids. Oxylipin biosynthesis and function was studied in two model cyanobacteria, Anabaena PCC 7120 and Synechocystis PCC 6803, for the first time: 1. The filamentous cyanobaterium Anabaena PCC 7120 can naturally produce phytoprostanes type I and II as well as hydroxy fatty acids like in plants but lacks the enzymatic capacity to form jasmonates (12-oxo-phytodienoic acid and jasmonic acid) and prostaglandins. Data obtained provide the first evidence for the occurence of phytoprostanes in cyanobacteria as well as in the baterial kingdom. 2. By GC-MS analysis, the E1- and F1-phytoprostanes in Anabaena PCC 7120 were detected both in free and esterified form. Their levels are comparable with those in plants, in the range of ng/g DW. In one week old cultures, there was no evidence of PPF1 in the medium but its level accumulated up to 142 ng/l in six weeks old cultures. In contrast, PPE1 was stable over time, about 20 ng/g DW. Free cellular PPE1 was found about 4 times higher than that of PPF1, 80.5  23.6 and 24.1  10.9 ng/g DW, respectively. However, there was no significant difference in the total cellular levels of PPF1 and PPE1, ranging from 150 to about 200 ng/g DW. 3. Phytoprostanes are inducible in Anabaena. In the combination of oxidative stress (200 µM H2O2 or 10 µM CuSO4) with high light intensity (330 µE.m-2.s-1) for 8 h, levels of total cellular PPE1 and PPF1 were increased about 2 to 4 times. Interestingly, unlike in higher plants, application of oxidative stress or high light intensity alone showed no phytoprostaneous induction in this cyanobacterium. 4. When Anabaena cells were treated with phytoprostanes, Anabaena cells became remarkably resistant against subsequently applied – otherwise lethal – oxidative stress. All phytoprostanes displayed a high protective effect except for PPE1. The highest protection level was contributed by a mixture of PPA1 type I and II. After preincubation of Anabena cells with 100 µM PPA1–type I/II for 16 h followed by application of 1 mM H2O2 or 50 µM CuSO4 for 5 h, A1-phytoprostane pre-treatment protected 84.2% and 77.5% of the cells from cell death, respectively. Without oxylipins pre-treatment, about 98% of the cells were dead. Surprisingly, preincubation of Anabaena with other oxylipins derived from enzymatic pathway in plants and animals showed also an effect, however, the protection effect was low and ranged from 10 to 30%. In contrast, phytoprostanes did not protect Pseudomonas syringae and Escherichia coli from the toxicity of hydrogen peroxide. However, these bacteria do not synthesize polyunsaturated fatty acids and are therefore devoid of and not exposed to endogenously formed oxidized lipids. 5. Exogenous application of 100 µM PPF1 or 1.5 mM H2O2 for 90 min did not activate the expression of isiA in Anabaena. Oxylipins also displayed no effect on shinorine and tocopherol levels in Anabaena. However, application of 100 µM PPF1 for 6 h altered the protein expression in Anabaena. Most PPF1-modulated proteins are down-regulated and related to photosynthesis. Since oxidative stress only in combination with high light intensity increased lipid peroxidation, down-regulation of photosynthesis after recognition of oxidised lipids (phytoprostanes) may be a survival strategy of Anabaena to avoid damage by peroxidized lipids. 6. Dead plants may be the main source of (exogenous) phytoprostanes in the natural environment of Anabaena. Dry hay releases PPE1 and PPF1 (11 µg/g DW) into an aqueous environment. Anabaena is the typical cyanobacterium in paddy rice fields. After harvesting, most of uneconomical parts of rice plants are abundant on the field, which may release phytoprostanes that in turn might have an impact on cyanobacteria in the rice ecosystems. However, field research is needed to clarify this suspection. 7. A new class of oxylipins, phytoprostanes type III and IV, was identified and quantified in vitro. The two main phytoprostanes, PPE1 and PPF1 (type III and IV), can be obtained by autoxidation of -linolenic acid or Borage oil (containing 25% esterified -linolenic acid). After 12 days of autoxidation and subsequent hydrolysis, 1 g of Borage oil yielded 112.71 ± 1.93 µg of PPF1 and 3.80 ± 0.14 mg of PPE1. PPB1 and PPA1 (type III and IV) were prepared by isomerization and dehydration of PPE1 (type III and IV). The overall yield of PPB1 was 1.71 ± 0.04 mg/g oil (type III) and 2.09 ± 0.12 mg/g oil (type IV). Those of PPA1 were 8.38 ± 0.35 µg/g and 10.18 ± 0.30 µg/oil, respectively. 8. A rapid HPLC-MS/MS method for phytoprostane and phytohormone analysis has been developed. This method was applied to quantify free and esterified E1- and F1-phytoprostanes type III and IV in Synechocystis PCC 6803. The in vivo phytoprostanes type III and IV are present both in free and esterified form. The total cellular level of PPE1 type III and IV in Synechocystis is at least 2 times higher than that of PPF1. Unlike Anabaena, PPE1 and PPF1 were detectable in the medium of one week old Synechocystis cultures. Free levels of PPF1 in the medium (231.8 ± 36.2 ng/l) and in the cells (164.9 ± 15.2 ng/g DW) are lower than those of PPE1 (1003.3 ± 365.2 ng/l and 2331.0 ± 87.7 ng/g DW).
Frequent acquisition activities in high-technology industries are due to the intense competition, driven by short product life cycles, more complex products/services and prevalent network effects. This dissertation theoretically analyzes the circumstances leading to technology-driven acquisitions and empirically tests these within a clearly defined market scenario.
This work deals with the development and application of novel quantum Monte Carlo methods to simulate fermion-boson models. Our developments are based on the path-integral formalism, where the bosonic degrees of freedom are integrated out exactly to obtain a retarded fermionic interaction. We give an overview of three methods that can be used to simulate retarded interactions. In particular, we develop a novel quantum Monte Carlo method with global directed-loop updates that solves the autocorrelation problem of previous approaches and scales linearly with system size. We demonstrate its efficiency for the Peierls transition in the Holstein model and discuss extensions to other fermion-boson models as well as spin-boson models. Furthermore, we show how with the help of generating functionals bosonic observables can be recovered directly from the Monte Carlo configurations. This includes estimators for the boson propagator, the fidelity susceptibility, and the specific heat of the Holstein model. The algorithmic developments of this work allow us to study the specific heat of the spinless Holstein model covering its entire parameter range. Its key features are explained from the single-particle spectral functions of electrons and phonons. In the adiabatic limit, the spectral properties are calculated exactly as a function of temperature using a classical Monte Carlo method and compared to results for the Su-Schrieffer-Heeger model.
G-protein-coupled receptors (GPCRs) are key biological switches that transmit both internal and external stimuli into the cell interior. Among the GPCRs, the “light receptor” rhodopsin has been shown to activate with a re-arrangement of the transmembrane helix bundle within ≈1 ms, while all other receptors are thought to become activated in subsecond range at saturating concentrations. Here we investigate activation kinetics of a dimeric GPCR, the metabotropic glutamate receptor-1 (mGluR1), and several class A GPCRs, as muscarinic receptor 3 (M3R), adrenergic (α2aAR and β1R) and opioid (µOR) receptors. We first used UV-light-triggered uncaging of glutamate in intact cells. Sub-millisecond Förster resonance energy transfer recordings between labels at intracellular receptor sites were used to record conformational changes in the mGluR1. At millimolar ligand concentrations the initial rearrangement between the mGluR1 subunits occurs at a speed of τ1≈1-2 ms. These rapid changes were followed by significantly slower conformational changes in the transmembrane domain (τ2≈20 ms). We further characterized novel photoswitchable negative allosteric modulators for mGluR1, which bind to its transmembrane core and block the conformational change as well as the downstream signaling. Effects of the compounds were quantified in pharmacological cell assays in the dark and using UV and green light illumination. We finally develop a framework for image-based kinetic analysis of GPCRs which allowed us to measure activation kinetics of several prototypical class A GPCRs and to discover membrane heterogeneities of GPCR activation. It appears that GPCR activation signal is not only dependent on the amount of activated receptors, but also has some level of correlation with the local density of activated receptors.
Barth Syndrome (BTHS) is an inherited X-chromosomal linked disorder, characterized by early development of cardiomyopathy, immune system defects, skeletal muscle myopathy and growth retardation. The disease displays a wide variety of symptoms including heart failure, exercise intolerance and fatigue due to the muscle weakness. The cause of the disease are mutations in the gene encoding for the mitochondrial transacylase Tafazzin (TAZ), which is important for remodeling of the phospholipid cardiolipin (CL). All mutations result in a pronounced decrease of the functional enzyme leading to an increase of monolysocardiolipin (MLCL), the precursor of mature CL, and a decrease in mature CL itself. CL is a hallmark phospholipid of mitochondrial membranes, highly enriched in the inner mitochondrial membrane (IMM). It is not only important for the formation of the cristae structures, but also for the function of different protein complexes associated with the mitochondrial membrane. Reduced levels of mature CL cause remodeling of the respiratory chain supercomplexes, impaired respiration, defects in the Krebs cycle and a loss of mitochondrial calcium uniporter (MCU) protein. The defective Ca2+ handling causes impaired redox homeostasis and energy metabolism resulting in cellular arrhythmias and defective electrical conduction. In an uncompensated situation, blunting mitochondrial Ca2+ uptake provokes increased mitochondrial emission of H2O2 during workload transitions, related to oxidation of NADPH, which is required to regenerate anti-oxidative enzymes. However, in the hearts and cardiac myocytes of mice with a global knock-down of the Taz gene (Taz-KD), no increase in mitochondrial ROS was observed, suggesting that other metabolic pathways may have compensated for reduced Krebs cycle activation.
The healthy heart produces most of its energy by consuming fatty acids. In this study, the fatty acid uptake into mitochondria and their further degradation was investigated, which showed a switch of the metabolism in general in the Taz-KD mouse model. In vivo studies revealed an increase of glucose uptake into the heart and decreased fatty acid uptake and oxidation. Disturbed energy conversion resulted in activation of retrograde signaling pathways, implicating overall changes in the cell metabolism. Upregulated integrated stress response (ISR) was confirmed by increased levels of the downstream target, i.e., the activating transcription factor 4 (ATF4). A Tafazzin knockout mouse embryonal fibroblast cell model (TazKO) was used to inhibit the ISR using siRNA transfection or pharmaceutical inhibition. This verified the central role of
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the ISR in regulating the metabolism in BTHS. Moreover, an increased metabolic flux into glutathione biosynthesis was observed, which supports redox homeostasis. In vivo PET-CT scans depicted elevated activity of the xCT system in the BTHS mouse heart, which transports essential amino acids for the biosynthesis of glutathione precursors. Furthermore, the stress induced signaling pathway also affected the glutamate metabolism, which fuels into the Krebs cycle via -ketoglutarate and therefore supports energy converting pathways. In summary, this thesis provides novel insights into the energy metabolism and redox homeostasis in Barth syndrome cardiomyopathy and its regulation by the integrated stress response, which plays a central role in the metabolic alterations. The aim of the thesis was to improve the understanding of these metabolic changes and to identify novel targets, which can provide new possibilities for therapeutic intervention in Barth syndrome.
The cytokine interleukin-5 (IL-5) is part of the TH2-mediated immune response. As a key regulator of eosinophilic granulocytes (eosinophils), IL-5 controls multiple aspects of eosinophil life. Eosinophils play a pathogenic role in the onset and progression of atopic diseases as well as hypereosinophilic syndrome (HES). Here, cytotoxic proteins and pro-inflammatory mediators stored in intracellular vesicles termed granula are released upon activation thereby causing local inflammation to fight the pathogen. However, if such inflammation persists, tissue damage and organ failure can occur. Due to the close relationship between eosinophils and IL-5 this cytokine has become a major pharmaceutical target for the treatment of atopic diseases or HES. As observed with other cytokines, IL-5 signals by assembling a heterodimeric receptor complex at the cell surface in a stepwise mechanism. In the first step IL-5 binds to its receptor IL-5Rα (CD125). This membrane-located complex then recruits the so-called common beta chain βc (CD131) into a ternary ligand receptor complex, which leads to activation of intracellular signaling cascades. Based on this mechanism various strategies targeting either IL-5 or IL-5Rα have been developed allowing to specifically abrogate IL-5 signaling. In addition to the classical approach of employing neutralizing antibodies against IL 5/IL-5Rα or antagonistic IL-5 variants, two groups comprising small 18 to 30mer peptides have been discovered, that bind to and block IL-5Rα from binding its activating ligand IL-5. Structure-function studies have provided detailed insights into the architecture and interaction of IL-5IL-5Rα and βc. However, structural information for the ternary IL-5 complex as well as IL-5 inhibiting peptides is still lacking.
In this thesis three areas were investigated. Firstly, to obtain insights into the second receptor activation step, i.e. formation of the ternary ligand-receptor complex IL-5•IL-5Rα•βc, a high-yield production for the extracellular domain of βc was established to facilitate structure determination of the ternary ligand receptor assembly by either X-ray crystallography or cryo-electron microscopy.
In a second project structure analysis of the ectodomain of IL-5Rα in its unbound conformation was attempted. Data on IL-5Rα in its ligand-free state would provide important information as to whether the wrench-like shaped ectodomain of IL-5Rα adopts a fixed preformed conformation or whether it is flexible to adapt to its ligand binding partner upon interaction. While crystallization of free IL-5Rα failed, as the crystals obtained did not diffract X rays to high resolution, functional analysis strongly points towards a selection fit binding mechanism for IL-5Rα instead of a rigid and fixed IL-5Rα structure. Hence IL-5 possibly binds to a partially open architecture, which then closes to the known wrench-like architecture. The latter is then stabilized by interactions within the D1-D2 interface resulting in the tight binding of IL-5.
In a third project X-ray structure analysis of a complex of the IL-5 inhibitory peptide AF17121 bound to the ectodomain of IL-5Rα was performed. This novel structure shows how the small cyclic 18mer peptide tightly binds into the wrench-like cleft formed by domains D1 and D2 of IL-5Rα. Due to the partial overlap of its binding site at IL-5Rα with the epitope for IL-5 binding, the peptide blocks IL-5 from access to key residues for binding explaining how the small peptide can effectively compete with the rather large ligand IL-5. While AF17121 and IL-5 seemingly bind to the same site at IL-5Rα, functional studies however showed that recognition and binding of both ligands differ. With the structure for the peptide-receptor complex at hand, peptide design and engineering could be performed to generate AF17121 analogies with enhanced receptor affinity. Several promising positions in the peptide AF17121 could be identified, which could improve inhibition capacity and might serve as a starting point for AF17121-based peptidomimetics that can yield either superior peptide based IL-5 antagonists or small-molecule-based pharmacophores for future therapies of atopic diseases or the hypereosinophilic syndrome.
- 77/83 allerdings inaktiv in Kulturen und Embryonen von Medaka. Dieser Unterschied wird durch Daten aus humanen ES-Zellkulturen unterstützt. Letztere sind ebenfalls komplett STAT3 unabhängig. Die BMP-Smad Kaskade wiederum ist in Medaka-Stammzellen aktiv, Antidifferenzierungsgene wie id2, die durch BMP direkt kontrolliert werden, sind dementsprechend exprimiert. Diese Daten stimmen wiederum mit dem Maussystem überein, während humane ES-Zellen diesbezüglich bislang nicht untersucht wurden. Die Interaktion zwischen verschiedenen Signalwegen ist ein bisher noch nicht gut verstandenes Gebiet. Die Integration verschiedener Signale ist aber speziell für Stammzellen, die ihr Differenzierungsschicksal von winzigen Abweichungen in der Signalmixtur abhängig machen, von entscheidender Bedeutung. Im zweiten Teil der hier vorgelegten Arbeit konnte eine Interaktion zwischen dem BMP-Rezeptor 1a und STAT3 nachgewiesen werden. Diese Interaktion ist offenbar Teil eines variablen Komplexes. Zum ersten Mal war es auch möglich, funktionale Konsequenzen für STAT3 nach Stimulierung des BMP-Rezeptors 1a zu dokumentieren. Nach Belegung des BMP-Rezeptors 1a mit dem mutierten BMP2-A34D wird STAT3 trotz Aktivierung durch Phosphorylierung an Tyrosin 705 im Zytoplasma von Maus Stammzellen festgehalten. Zusammengenommen konnte hier gezeigt werden, dass eine Interaktion zwischen den bislang als isoliert betrachteten Signalwegen BMP-Smad und STAT3 besteht. Des Weiteren wurde das Medaka-Stammzellkultursystem benutzt, um zu zeigen, dass STAT3 für die Pluripotenz von Stammzellen nur im Maussystem eine Rolle spielt, wohingegen BMPZielgene wie id2 in bislang allen getesteten ES-Zellkultursystemen aktiv sind.
The importance of Clinical Data Warehouses (CDW) has increased significantly in recent years as they support or enable many applications such as clinical trials, data mining, and decision making.
CDWs integrate Electronic Health Records which still contain a large amount of text data, such as discharge letters or reports on diagnostic findings in addition to structured and coded data like ICD-codes of diagnoses.
Existing CDWs hardly support features to gain information covered in texts.
Information extraction methods offer a solution for this problem but they have a high and long development effort, which can only be carried out by computer scientists.
Moreover, such systems only exist for a few medical domains.
This paper presents a method empowering clinicians to extract information from texts on their own. Medical concepts can be extracted ad hoc from e.g. discharge letters, thus physicians can work promptly and autonomously. The proposed system achieves these improvements by efficient data storage, preprocessing, and with powerful query features. Negations in texts are recognized and automatically excluded, as well as the context of information is determined and undesired facts are filtered, such as historical events or references to other persons (family history).
Context-sensitive queries ensure the semantic integrity of the concepts to be extracted.
A new feature not available in other CDWs is to query numerical concepts in texts and even filter them (e.g. BMI > 25).
The retrieved values can be extracted and exported for further analysis.
This technique is implemented within the efficient architecture of the PaDaWaN CDW and evaluated with comprehensive and complex tests.
The results outperform similar approaches reported in the literature.
Ad hoc IE determines the results in a few (milli-) seconds and a user friendly GUI enables interactive working, allowing flexible adaptation of the extraction.
In addition, the applicability of this system is demonstrated in three real-world applications at the Würzburg University Hospital (UKW).
Several drug trend studies are replicated: Findings of five studies on high blood pressure, atrial fibrillation and chronic renal failure can be partially or completely confirmed in the UKW. Another case study evaluates the prevalence of heart failure in inpatient hospitals using an algorithm that extracts information with ad hoc IE from discharge letters and echocardiogram report (e.g. LVEF < 45 ) and other sources of the hospital information system.
This study reveals that the use of ICD codes leads to a significant underestimation (31%) of the true prevalence of heart failure.
The third case study evaluates the consistency of diagnoses by comparing structured ICD-10-coded diagnoses with the diagnoses described in the diagnostic section of the discharge letter.
These diagnoses are extracted from texts with ad hoc IE, using synonyms generated with a novel method.
The developed approach can extract diagnoses from the discharge letter with a high accuracy and furthermore it can prove the degree of consistency between the coded and reported diagnoses.
The availability of coherent soft x-rays through the nonlinear optical process of high-harmonic generation allows for the monitoring of the fastest events ever observed in the laboratory. The attosecond pulses produced are the fundamental tool for the time-resolved study of electron motion in atoms, molecules, clusters, liquids and solids in the future. However, in order to exploit the full potential of this new tool it is necessary to control the coherent soft x-ray spectra and to enhance the efficiency of conversion from laser light to the soft x-ray region in the harmonic-generation process. This work developed a comprehensive approach towards the optimization of the harmonic generation process. As this process represents a fundamental example of \emph{light}--\emph{matter} interaction there are two ways of controlling it: Shaping the generating laser \emph{light} and designing ideal states of \emph{matter} for the conversion medium. Either of these approaches was closely examined. In addition, going far beyond simply enhancing the conversion process it could be shown that the qualitative spectral response of the process can be modified by shaping the driving laser pulse. This opens the door to a completely new field of research: Optimal quantum control in the attosecond soft x-ray region---the realm of electron dynamics. In the same way as it is possible to control molecular or lattice vibrational dynamics with adaptively shaped femtosecond laser pulses these days, it will now be feasible to perform real-time manipulation of tightly bound electron motion with adaptively shaped attosecond light fields. The last part of this work demonstrated the capability of the herein developed technique of coherent soft-x-ray spectral shaping, where a measured experimental feedback was used to perform a closed-loop optimization of the interaction of shaped soft x-ray light with a sulfur hexafluoride molecule to arrive at different control objectives. For the optimization of the high-harmonic-generation process by engineering the conversion medium, both the gas phase and the liquid phase were explored both in experiment and theory. Molecular media were demonstrated to behave more efficiently than commonly used atomic targets when elliptically polarized driving laser pulses are applied. Theory predicted enhancement of harmonic generation for linearly polarized driving fields when the internuclear distance is increased. Reasons for this are identified as the increased overlap of the returning electron wavefunction due to molecular geometry and the control over the delocalization of the initial electronic state leading to less quantum-mechanical spreading of the electron wavepacket during continuum propagation. A new experimental scheme has been worked out, using the method of molecular wavepacket generation as a tool to enhance the harmonic conversion efficiency in `pump--drive' schemes. The latter was then experimentally implemented in the study of high-harmonic generation from water microdroplets. A transition between the dominant laser--soft-x-ray conversion mechanisms could be observed, identifying plasma-breakdown as the fundamental limit of high-density high-harmonic generation. Harmonics up to the 27th order were observed for optimally laser-prepared water droplets. To control the high-harmonic generation process by the application of shaped laser light fields a laser-pulse shaper based on a deformable membrane mirror was built. Pulse-shape optimization resulted in increased high-harmonic generation efficiency --- but more importantly the qualitative shape of the spectral response could be significantly modified for high-harmonic generation in waveguides. By adaptive optimization employing closed-loop strategies it was possible to selectively generate narrow (single harmonics) and broad bands of harmonic emission. Tunability could be demonstrated both for single harmonic orders and larger regions of several harmonics. Whereas any previous experiment reported to date always produced a plateau of equally intense harmonics, it has been possible to demonstrate ``untypical'' harmonic soft x-ray spectra exhibiting ``switched-off'' harmonic orders. The high degree of controllability paves the way for quantum control experiments in the soft x-ray spectral region. It was also demonstrated that the degree of control over the soft x-ray shape depends on the high-harmonic generation geometry. Experiments performed in the gas jet could not change the relative emission strengths of neighboring harmonic orders. In the waveguide geometry, the relative harmonic yield of neighboring orders could be modified at high contrast ratios. A simulation based solely on the single atom response could not reproduce the experimentally observed contrast ratios, pointing to the importance of propagation (phase matching) effects as a reason for the high degree of controllability observed in capillaries, answering long-standing debates in the field. A prototype experiment was presented demonstrating the versatility of the developed soft x-ray shaping technique for quantum control in this hitherto unexplored wavelength region. Shaped high-harmonic spectra were again used in an adaptive feedback loop experiment to control the gas-phase photodissociation reaction of SF$_6$ molecules. A time-of-flight mass spectrometer was used for the detection of the ionic fragments. The branching ratios of particular fragmentation channels could be varied by optimally shaped soft x-ray light fields. Although in one case only slight changes of the branching ratio were possible, an optimal solution was found, proving the sufficient technical stability of this unique coherent soft-x-ray shaping method for future applications in optimal control. Active shaping of the spectral amplitude in coherent spectral regions of $\sim$10~eV bandwidth was shown to directly correspond to shaping the temporal features of the emerging soft x-ray pulses on sub-femtosecond time scales. This can be understood by the dualism of frequency and time with the Fourier transformation acting as translator. A quantum-mechanical simulation was used to clarify the magnitude of temporal control over the shape of the attosecond pulses produced in the high-harmonic-generation process. In conjunction with the experimental results, the first attosecond time-scale pulse shaper could thus be demonstrated in this work. The availability of femtosecond pulse shapers opened the field of adaptive femtosecond quantum control. The milestone idea of closed-loop feedback control to be implemented experimentally was expressed by Judson and Rabitz in their seminal work titled ``Teaching lasers to control molecules''. This present work extends and turns around this statement. Two fundamentally new achievements can now be added, which are ``Teaching molecules to control laser light conversion'' and ``Teaching lasers to control coherent soft x-ray light''. The original idea thus enabled the leap from femtosecond control of molecular dynamics into the new field of attosecond control of electron motion to be explored in the future. The \emph{closed}-loop approach could really \emph{open} the door towards fascinating new perspectives in science. Coming back to the introduction in order to close the loop, let us reconsider the analogy to the general chemical reaction. Photonic reaction control was presented by designing and engineering effective media (catalysts) and controlling the preparation of educt photons within the shaped laser pulses to selectively produce desired photonic target states in the soft x-ray spectral region. These newly synthesized target states in turn could be shown to be effective in the control of chemical reactions. The next step to be accomplished will be the control of sub-femtosecond time-scale electronic reactions with adaptively controlled coherent soft x-ray photon bunches. To that end a time-of-flight high-energy photoelectron spectrometer has recently been built, which will now allow to directly monitor electronic dynamics in atomic, molecular or solid state systems. Fundamentally new insights and applications of the nonlinear interaction of shaped attosecond soft x-ray pulses with matter can be expected from these experiments.
The subject of this work has been the investigation of dynamical processes that occur during and after the interaction of matter with pulses of femtosecond laser radiation. The experiments presented here were performed in the gas phase and involve one atomic and several model molecular systems. Absorption of femtosecond laser radiation by these systems induces an electronic excitation, and subsequently their ionization, photofragmentation or isomerization. The specific adjustment of the excitation laser field properties offers the possibility to manipulate the induced electronic excitation and to influence the formation of the associated photoproducts. From the perspective of the employed spectroscopic methods, the development of photoelectron spectroscopy and its implementation in laser control experiments has been of particular interest in this thesis. This technique allows for a most direct and intuitive observation of electronic excitation dynamics in atomic as well as in complex polyatomic molecular systems. The propagation of an intermediate electronic transient state, associated to the formation of a particular photoproduct, can be interrogated by means of its correlation to a specific state of the atomic or molecular continuum. Such correlations involve the autoionization of the transient state, or by means of a second probe laser field, a structural correlation, as summarized by the Koopman's theorem (section 2.4.1). The technique of adaptive femtosecond quantum control has been the subject of development in our group for many years. The basic method, by which the temporal profile of near-infrared laser pulses at a central wavelength of 800 nm, can be adjusted, is a programmable femtosecond pulse-shaper that comprises of a zero dispersion compressor and a commercial liquid crystal modulator (LCD). This experimental arrangement was realized prior to this thesis and served as a starting point to extend the pulse-shaping technique to the ultraviolet spectral region. This technological development was realized for the purposes of the experiments presented in Chapter 5. It involves a combination of the LCD-pulse-shaper with frequency up-conversion techniques on the basis of producing specifically modulated laser pulses of central wavelength 266 nm. Furthermore, the optical method X-FROG had to be developed in order to characterize the often complex structure of generated ultraviolet pulses. In the adaptive control experiments presented in this work, the generated femtosecond laser pulses could be automatically adjusted by means of specifically addressing the 128 independent voltage parameters of the programmable liquid-crystal modulator. Additionally a machine learning algorithm was employed for the cause of defining laser pulse-shapes that delivered the desired (optimal) outcome in the investigated laser interaction processes. In Chapter 4, the technique of feedback-controlled femtosecond pulse shaping was combined with time-of-flight mass spectroscopy as well as photoelectron spectroscopy in order to investigate the multiphoton double ionization of atomic calcium. A pronounced absolute enhancement of the double ionization yield was obtained with optimized femtosecond laser pulses. On the basis of the measured photoelectron spectra and of the electron optimization experiments, a non-sequential process was found, which plays an important role in the formation of doubly charged Calcium ions. Then in Chapter 5, the dynamics following the pp* excitation of ethylene-like molecules were investigated. In this context, the model molecule stilbene was studied by means of femtosecond photoelectron spectroscopy. Due to the simplicity of its chemical structure, stilebene is one of the most famous models used in experimental as well as theoretical studies of isomerization dynamics. From the time-resolved experiments described in that chapter, new spectroscopic data involving the second excited electronic state S2 of the molecule were acquired. The second ethylenic product was the molecule tetrakis (dimethylamino) ethylene (TDMAE). Due to the presence of numerous lone pair electrons on the four dimethylamino groups, TDMAE exhibits a much more complex structure than stilbene. Nevertheless, previously reported studies on the dynamics of TDMAE provided vital information for planning and conducting a successful optimisation control experiment of the wavepacket propagation upon the (pp*) S1 excited potential surface of the molecule. Finally, in Chapter 6 the possibility of employing femtosecond laser pulses as an alternative method for activating a metallocene molecular catalyst was addressed. By means of an adaptive laser control scheme, an optimization experiment was realized. There, the target was the selective cleavage of one methyl-ligand of the model catalyst (Cp)^2Zr(CH3)^2, which induces a catalytic coordination position on the molecule. The spectroscopic studies presented in that chapter were performed in collaboration to the company BASF A.G. and constitute a proof-of principle attempt for a commercial application of the adaptive femtosecond quantum control technique.
The generation of high harmonics is an ideal method to convert frequencies of the infrared- or visible range into the soft x-ray range. This process demands high laser intensities that are nowadays supplied by femtosecond laser systems. As the temporal and spatial coherence properties of the laser are transferred during the conversion process, the generated high harmonics will propagate as a beam with high peak-brightness. Under ideal conditions the generation of soft-x-ray pulses shorter than one femtosecond is possible. These properties are exploited in many applications like time-resolved x-ray spectroscopy. The topic of this thesis is the generation and optimization of high harmonics. A variety of conversion setups is investigated (jet of noble gas atoms, gas-filled hollow-fiber, water microdroplets) and theoretical models present ideas to further enhance the conversion efficiency (using excited atoms or aligned molecules). In different setups the peak intensity of the fundamental laser pulses is increased by spectral broadening and subsequent temporal compression. This is achieved with the help of pulse shaping devices that can modify the spectral phase and therefore also the temporal intensity distribution of laser pulses. These pulse shaping devices are controlled by an evolutionary algorithm. With this setup not only adaptive compression of laser pulses is possible, but also the engineering of specific laser pulse shapes to optimize an experimental output. This setup was used to influence the process of high harmonic generation. It is demonstrated that the spectral distribution of the generated soft-x-ray radiation can be controlled by temporal pulse shaping. This method to tailor high harmonics is complemented by spatial shaping techniques. These findings demonstrate the realization of a tunable source of soft-x-ray radiation.
Adaptive Polarization Pulse Shaping and Modeling of Light-Matter Interactions with Neural Networks
(2007)
The technique of ultrafast polarization shaping is applied to a model quantum system, the potassium dimer. The polarization dependence of the multiphoton ionization dynamics in this molecule is first investigated in pump–probe experiments, and it is then more generally addressed and exploited in an adaptive quantum control experiment utilizing near–IR polarization–shaped laser pulses. The extension of these polarization shaping techniques to the UV spectral range is presented, and methods for the generation and characterization of polarization–shaped laser pulses in the UV are introduced. Systematic scans of double–pulse sequences are introduced for the investigation and interpretation of control mechanisms. This concept is first introduced and illustrated for an optical demonstration experiment, and it is then applied for the analysis of the intrapulse dumping mechanism that is observed in the excitation of a large dye molecule in solution with ultrashort laser pulses. Shaped laser pulses are employed as a means for obtaining copious amounts of data on light–matter interactions. Neural networks are introduced as a novel tool for generating computer–based models for these interactions from the accumulated data. The viability of this approach is first tested for second harmonic generation (SHG) and molecular fluorescence processes. Neural networks are then utilized for modeling the far more complex coherent strong–field dynamics of potassium atoms.
It is aim of this work to develop, implement, and apply a new numerical scheme for modeling turbulent, multiphase astrophysical flows such as galaxy cluster cores and star forming regions. The method combines the capabilities of adaptive mesh refinement (AMR) and large-eddy simulations (LES) to capture localized features and to represent unresolved turbulence, respectively; it will be referred to as Fluid mEchanics with Adaptively Refined Large-Eddy SimulationS or FEARLESS.
Insulin-like growth factor-I (IGF-I) is a 70-amino acid polypeptide with a molecular weight of approximately 7.6 kDa acting as an anabolic effector. It is essential for tissue growth and remodeling. Clinically, it is used for the treatment of growth disorders and has been proposed for various other applications including musculoskeletal diseases. Unlike insulin, IGF-I is complexed to at least six high-affinity binding proteins (IGFBPs) exerting homeostatic effects by modulating IGF-I availability to its receptor (IGF-IR) on most cells in the body as well as changing the distribution of the growth factor within the organism.1-3 Short half-lived IGF-I have been the driving forces for the design of localized IGF-I depot systems or protein modification with enhanced pharmacokinetic properties. In this thesis, we endeavor to present a versatile biologic into which galenical properties were engineered through chemical synthesis, e.g., by site-specific coupling of biomaterials or complex composites to IGF-I. For that, we redesigned the therapeutic via genetic codon expansion resulting in an alkyne introduced IGF-I, thereby becoming a substrate for biorthogonal click chemistries yielding a site-specific decoration.
In this approach, an orthogonal pyrrolysine tRNA synthetase (PylRS)/tRNAPyl CUA pair was employed to direct the co-translational incorporation of an unnatural amino acid—¬propargyl-L-lysine (plk)—bearing a clickable alkyne functional handle into IGF-I in response to the amber stop codon (UAG) introduced into the defined position in the gene of interest. We summarized the systematic optimization of upstream and downstream process alike with the ultimate goal to increase the yield of plk modified IGF-I therapeutic, from the construction of gene fusions resulting in (i) Trx-plk-IGF-I fusion variants, (ii) naturally occurring pro-IGF-I protein (IGF-I + Ea peptide) (plk-IGF-I Ea), over the subsequent bacterial cultivation and protein extraction to the final chromatographic purification. The opportunities and hurdles of all of the above strategies were discussed. Evidence was provided that the wild-type IGF-I yields were pure by exploiting the advantages of the pHisTrx expression vector system in concert with a thrombin enzyme with its highly specific proteolytic digestion site and multiple-chromatography steps. The alkyne functionality was successfully introduced into IGF-I by amber codon suppression. The proper folding of plk-IGF-I Ea was assessed by WST-1 proliferation assay and the detection of phosphorylated AKT in MG-63 cell lysate. The purity of plk-IGF-I Ea was monitored with RP-HPLC and SDS-PAGE analysis. This work also showed site-specific coupling an alkyne in plk-IGF-I Ea by copper (I)-catalyzed azide-alkyne cycloaddition (CuAAC) with potent activities in vitro. The site-specific immobilization of plk-IGF-I Ea to the model carrier (i.e., agarose beads) resulted in enhanced cell proliferation and adhesion surrounding the IGF-I-presenting particles. Cell proliferation and differentiation were enhanced in the accessibility of IGF-I decorated beads, reflecting the multivalence on cellular performance.
Next, we aimed at effectively showing the disease environment by co-delivery of fibroblast growth factor 2 (FGF2) and IGF-I, deploying localized matrix metalloproteinases (MMPs) upregulation as a surrogate marker driving the response of the drug delivery system. For this purpose, we genetically engineered FGF2 variant containing an (S)-2-amino-6-(((2-azidoethoxy)carbonyl)amino)hexanoic acid incorporated at its N-terminus, followed by an MMPs-cleavable linker (PCL) and FGF2 sequence, thereby allowing site-directed, specific decoration of the resultant azide-PCL-FGF2 with the previously mentioned plk-IGF-I Ea to generate defined protein-protein conjugates with a PCL in between. The click reaction between plk-IGF-I Ea and azide-PCL-FGF2 was systematically optimized to increase the yield of IGF-FGF conjugates, including reaction temperature, incubation duration, the addition of anionic detergent, and different ratios of the participating biopharmaceutics. The challenge here was that CuAAC reaction components or conditions might oxidize free cysteines of azide-PCL-FGF2 and future work needs to present the extent of activity retention after conjugation. Furthermore, our study provides potential options for dual-labeling of IGF-I either by the introduction of unnatural amino acids within two distinct positions of the protein of interest for parallel “double-click” labeling of the resultant plk-IGF-I Ea-plk or by using a combination of enzymatic-catalyzed and CuAAC bioorthogonal coupling strategies for sequentially dual-labeling of plk-IGF-I Ea.
In conclusion, genetic code expansion in combination with click-chemistry provides the fundament for novel IGF-I analogs allowing unprecedented site specificity for decoration. Considerable progress towards IGF-I based therapies with enhanced pharmacological properties was made by demonstrating the feasibility of the expression of plk incorporated IGF-I using E. coli and retained activity of unconjugated and conjugated IGF-I variant. Dual-labeling of IGF-I provides further insights into the functional requirements of IGF-I. Still, further investigation warrants to develop precise IGF-I therapy through unmatched temporal and spatial regulation of the pleiotropic IGF-I.
Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder with an estimated heritability of around 70%. In order to fully understand ADHD biology it is necessary to incorporate multiple different types of research. In this thesis, both human and animal model research is described as both lines of research are required to elucidate the aetiology of ADHD and development new treatments. The role of a single gene, Adhesion G protein-coupled receptor L3 (ADGRL3) was investigated using a knockout mouse model. ADGRL3 has putative roles in neuronal migration and synapse function. Various polymorphisms in ADGRL3 have been linked with an increased risk of attention deficit/hyperactivity disorder (ADHD) in human studies. Adgrl3-deficient mice were examined across multiple behavioural domains related to ADHD: locomotive activity, visuospatial and recognition memory, gait impulsivity, aggression, sociability and anxiety-like behaviour. The transcriptomic alterations caused by Adgrl3-depletion were analysed by RNA-sequencing of three ADHD-relevant brain regions: prefrontal cortex (PFC), hippocampus and striatum. Increased locomotive activity in Adgrl3-/- mice was observed across all tests with the specific gait analysis revealing subtle gait abnormalities. Spatial memory and learning domains were also impaired in these mice. Increased levels of impulsivity and sociability accompanying decreased aggression were also detected. None of these alterations were observed in Adgrl3+/- mice. The numbers of genes found to exhibit differential expression was relatively small in all brain regions sequenced. The absence of large scale gene expression dysregulation indicates a specific pathway of action, rather than a broad neurobiological perturbation. The PFC had the greatest number of differentially expressed genes and gene-set analysis of differential expression in this brain region detected a number of ADHD-relevant pathways including dopaminergic synapses as well as cocaine and amphetamine addiction. The most dysregulated gene in the PFC was Slc6a3 which codes for the dopamine transporter, a molecule vital to current pharmacological treatment of ADHD. The behavioural and transcriptomic results described in this thesis further validate Adgrl3 constitutive knockout mice as an experimental model of ADHD and provide neuroanatomical targets for future studies involving ADGRL3 modified animal models.
The study of ADHD risk genes such as ADGRL3 requires the gene to be first identified using human studies. These studies may be genome based such as genome wide association studies (GWAS) or transcriptome based using microarray or RNA sequencing technology. To explore ADHD biology in humans the research described in this thesis includes both GWAS and trancriptomic data. A two-step transcriptome profiling was performed in peripheral blood mononuclear cells (PBMCs) of 143 ADHD subjects and 169 healthy controls. We combined GWAS and expression data in an expression-based Polygenic Risk Score (PRS) analysis in a total sample of 879 ADHD cases and 1919 controls from three different datasets. Through this exploratory study we found eight differentially expressed genes in ADHD and no support for the genetic background of the disorder playing a role in the aberrant expression levels identified. These results highlight promising candidate genes and gene pathways for ADHD and support the use of peripheral tissues to assess gene expression signatures for ADHD.
This thesis illustrates how both human and animal model research is required to increase our understanding of ADHD. The animal models provide biological insight into the targets identified in human studies and may themselves provide further relevant gene targets. Only by combining research from disparate sources can we develop the thorough understanding on ADHD biology required for treatment development, which is the ultimate goal of translational science research.
Adipose tissue defects and related pathologies still represent major challenges in reconstructive surgery. Based on to the paradigm ‘replace with alike’, adipose tissue is considered the ideal substitute material for damaged soft tissue [1-3]. Yet the transfer of autologous fat, particularly larger volumes, is confined by deficient and unpredictable long term results, as well as considerable operative morbidity at the donor and recipient site [4-6], calling for innovative treatment options to improve patient care.
With the aim to achieve complete regeneration of soft tissue defects, adipose tissue engineering holds great promise to provide functional, biologically active adipose tissue equivalents. Here, especially long-term maintenance of volume and shape, as well as sufficient vascularization of engineered adipose tissue represent critical and unresolved challenges [7-9]. For adipose tissue engineering approaches to be successful, it is thus essential to generate constructs that retain their initial volume in vivo, as well as to ensure their rapid vascularization to support cell survival and differentiation for full tissue regeneration [9,10]. Therefore, it was the ultimate goal of this thesis to develop volume-stable 3D adipose tissue constructs and to identify applicable strategies for sufficient vascularization of engineered constructs. The feasibility of the investigated approaches was verified by translation from in vitro to in vivo as a critical step for the advancement of potential regenerative therapies.
For the development of volume-stable constructs, the combination of two biomaterials with complementary properties was successfully implemented. In contrast to previous approaches in the field using mainly non-degradable solid structures for mechanical protection of developing adipose tissue [11-13], the combination of a cell-instructive hydrogel component with a biodegradable porous support structure of adequate texture was shown advantageous for the generation of volume-stable adipose tissue. Specifically, stable fibrin hydrogels previously developed in our group [14] served as cell carrier and supported the adipogenic development of adipose-derived stem cells (ASCs) as reflected by lipid accumulation and leptin secretion. Stable fibrin gels were thereby shown to be equally supportive of adipogenesis compared to commercial TissuCol hydrogels in vitro. Using ASCs as a safe source of autologous cells [15,16] added substantial practicability to the approach. To enhance the mechanical strength of the engineered constructs, porous biodegradable poly(ε caprolactone)-based polyurethane (PU) scaffolds were introduced as support structures and shown to exhibit adequately sized pores to host adipocytes as well as interconnectivity to allow coherent tissue formation and vascularization. Low wettability and impaired cell attachment indicated that PU scaffolds alone were insufficient in retaining cells within the pores, yet cytocompatibility and differentiation of ASCs were adequately demonstrated, rendering the PU scaffolds suitable as support structures for the generation of stable fibrin/PU composite constructs (Chapter 3).
Volume-stable adipose tissue constructs were generated by seeding the pre-established stable fibrin/PU composites with ASCs. Investigation of size and weight in vitro revealed that composite constructs featured enhanced stability relative to stable fibrin gels alone. Comparing stable fibrin gels and TissuCol as hydrogel components, it was found that TissuCol gels were less resilient to degradation and contraction. Composite constructs were fully characterized, showing good cell viability of ASCs and strong adipogenic development as indicated by functional analysis via histological Oil Red O staining of lipid vacuoles, qRT-PCR analysis of prominent adipogenic markers (PPARγ, C/EBPα, GLUT4, aP2) and quantification of leptin secretion. In a pilot study in vivo, investigating the suitability of the constructs for transplantation, stable fibrin/PU composites provided with a vascular pedicle gave rise to areas of well-vascularized adipose tissue, contrasted by insufficient capillary formation and adipogenesis in constructs implanted without pedicle. The biomaterial combination of stable fibrin gels and porous biodegradable PU scaffolds was thereby shown highly suitable for the generation of volume-stable adipose tissue constructs in vivo, and in addition, the effectiveness of immediate vascularization upon implantation to support adipose tissue formation was demonstrated (Chapter 4).
Further pursuing the objective to investigate adequate vascularization strategies for engineered adipose tissue, hypoxic preconditioning was conducted as a possible approach for in vitro prevascularization. In 2D culture experiments, analysis on the cellular level illustrated that the adipogenic potential of ASCs was reduced under hypoxic conditions when applied in the differentiation phase, irrespective of the oxygen tension encountered by the cells during expansion. Hypoxic treatment of ASCs in 3D constructs prepared from stable fibrin gels similarly resulted in reduced adipogenesis, whereas endothelial CD31 expression as well as enhanced leptin and vascular endothelial growth factor (VEGF) secretion indicated that hypoxic treatment indeed resulted in a pro-angiogenic response of ASCs. Especially the observed profound regulation of leptin production by hypoxia and the dual role of leptin as adipokine and angiogenic modulator were considered an interesting connection advocating further study. Having confirmed the hypothesis that hypoxia may generate a pro-angiogenic milieu inside ASC-seeded constructs, faster vessel ingrowth and improved vascularization as well as an enhanced tolerance of hypoxia-treated ASCs towards ischemic conditions upon implanatation may be expected, but remain to be verified in rodent models in vivo (Chapter 5).
Having previously been utilized for bone and cartilage engineering [17-19], as well as for revascularization and wound healing applications [20-22], stromal-vascular fraction (SVF) cells were investigated as a novel cell source for adipose tissue engineering. Providing cells with adipogenic differentiation as well as vascularization potential, the SVF was applied with the specific aim to promote adipogenesis and vascularization in engineered constructs in vivo. With only basic in vitro investigations by Lin et al. addressing the SVF for adipose repair to date [23], the present work thoroughly investigated SVF cells for adipose tissue construct generation in vitro, and in particular, pioneered the application of these cells for adipose tissue engineering in vivo.
Initial in vitro experiments compared SVF- and ASC-seeded stable fibrin constructs in different medium compositions employing preadipocyte (PGM-2) and endothelial cell culture medium (EGM-2). It was found that a 1:1 mixture of PGM-2 and EGM-2, as previously established for co-culture models of adipogenesis [24], efficiently maintained cells with adipogenic and endothelial potential in SVF-seeded constructs in short and long-term culture setups. Observations on the cellular level were supported by analysis of mRNA expression of characteristic adipogenic and endothelial markers. In preparation of the evaluation of SVF-seeded constructs under in vivo conditions, a whole mount staining (WMS) method, facilitating the 3D visualization of adipocytes and blood vessels, was successfully established and optimized using native adipose tissue as template (Chapter 6).
In a subcutaneous nude mouse model, SVF cells were, for the first time in vivo, elucidated for their potential to support the functional assembly of vascularized adipose tissue. Investigating the effect of adipogenic precultivation of SVF-seeded stable fibrin constructs in vitro prior to implantation on the in vivo outcome, hormonal induction was shown beneficial in terms of adipocyte development, whereas a strong vascularization potential was observed when no adipogenic inducers were added. Via histological analysis, it was proven that the developed structures were of human origin and derived from the implanted cells. Applying SVF cells without precultivation in vitro but comparing two different fibrin carriers, namely stable fibrin and TissuCol gels, revealed that TissuCol profoundly supported adipose formation by SVF cells in vivo. This was contrasted by only minor SVF cell development and a strong reduction of cell numbers in stable fibrin gels implanted without precultivation. Histomorphometric analysis of adipocytes and capillary structures was conducted to verify the qualitative results, concluding that particularly SVF cells in TissuCol were highly suited for adipose regeneration in vivo. Employing the established WMS technique, the close interaction of mature adipocytes and blood vessels in TissuCol constructs was impressively shown and via species-specific human vimentin staining, the expected strong involvement of implanted SVF cells in the formation of coherent adipose tissue was confirmed (Chapter 7).
With the development of biodegradable volume-stable adipose tissue constructs, the application of ASCs and SVF cells as two promising cell sources for functional adipose regeneration, as well as the thorough evaluation of strategies for construct vascularization in vitro and in vivo, this thesis provides valuable solutions to current challenges in adipose tissue engineering. The presented findings further open up new perspectives for innovative treatments to cure soft tissue defects and serve as a basis for directed approaches towards the generation of clinically applicable soft tissue substitutes.
Each year millions of plastic and reconstructive procedures are performed to regenerate soft tissue defects after, for example, traumata, deep burns or tumor resections. Tissue engineered adipose tissue grafts are a promising alternative to autologous fat transfer or synthetic implants to meet this demand for adipose tissue. Strategies of tissue engineering, especially the use of cell carriers, provide an environment for better cell survival, an easier positioning and supplemented with the appropriate conditions a faster vascularization in vivo. To successfully engineer an adipose tissue substitute for clinical use, it is crucial to know the actual intended application. In some areas, like the upper and lower extremities, only a thin subcutaneous fat layer is needed and in others, large volumes of vascularized fat grafts are more desirable. The use and interplay of stem cells and selected scaffolds were investigated and provide now a basis for the generation of fitted and suitable substitutes in two different application areas.
Complex injuries of the upper and lower extremities, in many cases, lead to excessive scarring. Due to severe damage to the subcutaneous fat layer, a common sequela is adhesion formation to mobile structures like tendons, nerves, and blood vessels resulting in restricted motion and disabling pain [Moor 1996, McHugh 1997]. In order to generate a subcutaneous fat layer to cushion scarred tissue after substantial burns or injuries, different collagen matrices were tested for clinical handling and the ability to support adipogenesis. When testing five different collagen matrices, PermacolTM and StratticeTM showed promising characteristics; additionally both possess the clinical approval. Under culture conditions, only PermacolTM, a cross-linked collagen matrix, exhibited an excellent long-term stability. Ranking nearly on the same level was StratticeTM, a non-cross-linked dermal scaffold; it only exhibited a slight shrinkage. All other scaffolds tested were severely compromised in stability under culture conditions. Engineering a subcutaneous fat layer, a construct would be desirable with a thin layer of emerging fat for cushioning on one side, and a non-seeded other side for cell migration and host integration. With PermacolTM and StratticeTM, it was possible to produce constructs with ASC (adipose derived stem cells) seeded on one side, which could be adipogenically differentiated. Additionally, the thickness of the cell layer could be varied. Thereby, it becomes possible to adjust the thickness of the construct to the surrounding tissue. In order to reduce the pre-implantation time ex vivo and the costs, the culture time was varied by testing different induction protocols. An adipogenic induction period of only four days was demonstrated to be sufficient to obtain a substantial adipogenic differentiation of the applied ASC. Thus, seeded with ASC, PermacolTM and StratticeTM are suitable scaffolds to engineer subcutaneous fat layers for reconstruction of the upper and lower extremities, as they support adipogenesis and are appropriately thin, and therefore would not compromise the cosmesis.
For the engineering of large-volume adipose tissue, adequate vascularization still represents a major challenge. With the objective to engineer vascularized fat pads, it is important to consider the slow kinetics of revascularization in vivo. Therefore, a decellularized porcine jejunum with pre-existing vascular structures and pedicles to connect to the host vasculature or the circulation of a bioreactor system was used. In a first step, the ability of a small decellularized jejunal section was tested for cell adhesion and for supporting adipogenic differentiation of hASC mono-cultures. Cell adhesion and adipogenic maturation of ASC seeded on the jejunal material was verified through histological and molecular analysis. After the successful mono-culture, the goal was to establish a MVEC (microvascular endothelial cells) and ASC co-culture; suitable culture conditions had to be found, which support the viability of both cell types and do not interfere with the adipogenic differentiation. After the elimination of EGF (epidermal growth factor) from the co-culture medium, substantial adipogenic maturation was observed. In the next step, a large jejunal segment (length 8 cm), with its pre-existing vascular structures and arterial/venous pedicles, was connected to the supply system of a custom-made bioreactor. After successful reseeding the vascular structure with endothelial cells, the lumen was seeded with ASC which were then adipogenically induced. Histological and molecular examinations confirmed adipogenic maturation and the existence of seeded vessels within the engineered construct. Noteworthily, a co-localization of adipogenically differentiating ASC and endothelial cells in vascular networks could be observed. So, for the first time a vascularized fat construct was developed in vitro, based on the use of a decellularized porcine jejunum. As this engineered construct can be connected to a supply system or even to a patient vasculature, it is versatile in use, for example, as transplant in plastic and reconstruction surgery, as model in basic research or as an in vitro drug testing system.
To summarize, in this work a promising substitute for subcutaneous fat layer reconstruction, in the upper and lower extremities, was developed, and the first, as far as reported, in vitro generated adipose tissue construct with integrated vascular networks was successfully engineered.
ADMM-Type Methods for Optimization and Generalized Nash Equilibrium Problems in Hilbert Spaces
(2020)
This thesis is concerned with a certain class of algorithms for the solution of constrained optimization problems and generalized Nash equilibrium problems in Hilbert spaces. This class of algorithms is inspired by the alternating direction method of multipliers (ADMM) and eliminates the constraints using an augmented Lagrangian approach. The alternating direction method consists of splitting the augmented Lagrangian subproblem into smaller and more easily manageable parts.
Before the algorithms are discussed, a substantial amount of background material, including the theory of Banach and Hilbert spaces, fixed-point iterations as well as convex and monotone set-valued analysis, is presented. Thereafter, certain optimization problems and generalized Nash equilibrium problems are reformulated and analyzed using variational inequalities and set-valued mappings. The analysis of the algorithms developed in the course of this thesis is rooted in these reformulations as variational inequalities and set-valued mappings.
The first algorithms discussed and analyzed are one weakly and one strongly convergent ADMM-type algorithm for convex, linearly constrained optimization. By equipping the associated Hilbert space with the correct weighted scalar product, the analysis of these two methods is accomplished using the proximal point method and the Halpern method.
The rest of the thesis is concerned with the development and analysis of ADMM-type algorithms for generalized Nash equilibrium problems that jointly share a linear equality constraint. The first class of these algorithms is completely parallelizable and uses a forward-backward idea for the analysis, whereas the second class of algorithms can be interpreted as a direct extension of the classical ADMM-method to generalized Nash equilibrium problems.
At the end of this thesis, the numerical behavior of the discussed algorithms is demonstrated on a collection of examples.
Obesity-induced diabetes affects over 400 million people worldwide. Obesity is a complex metabolic disease and is associated with several co-morbidities, all of which negatively affect the individual’s quality of life. It is commonly considered that obesity is a result of a positive energy misbalance, as increased food intake and lower expenditure eventually lead to the development of this disease. Moreover, the pathology of obesity is attributed to several genetic and epigenetic factors that put an individual at high risk compared to another. Adipose tissue is the main site of the organism’s energy storage. During the time when the nutrients are available in excess, adipocytes acquire triglycerides, which are released during the time of food deprivation in the process of lipolysis (free fatty acids and glycerol released from adipocytes). Uncontrolled lipolysis is the consequent event that contributes to the development of diabetes and paradoxically obesity. To identify the genetic factors aiming for future therapeutic avenues targeting this pathway, we performed a high-throughput screen and identified the Extracellular-regulated kinase 3 (ERK3) as a hit. We demonstrate that β-adrenergic stimulation stabilizes ERK3 leading to the formation of a complex with the co-factor MAP kinase-activated protein kinase 5 (MK5) thereby driving lipolysis. Mechanistically, we identify a downstream target of the ERK3/MK5 pathway, the transcription factor FOXO1, which promotes the expression of the major lipolytic enzyme ATGL. Finally, we provide evidence that targeted deletion of ERK3 in mouse adipocytes inhibits lipolysis, but elevates energy dissipation, promoting lean phenotype and ameliorating diabetes. Moreover, we shed the light on our pharmacological approach in targeting ERK3/MK5 pathways using MK5 specific inhibitor. Already after 1 week of administering the inhibitor, mice showed signs of improvement of their metabolic fitness as showed here by a reduction in induced lipolysis and the elevation in the expression of thermogenic genes. Taken together, our data suggest that targeting the ERK3/MK5 pathway, a previously unrecognized signaling axis in adipose tissue, could be an attractive target for future therapies aiming to combat obesity-induced diabetes.
The mode of action of phloretin and its analogs on the permeability of natural membranes for neutral and charged molecules, such as urea, glucose and chloride has been characterized 25 years ago. In contrast to signal molecules with primary effects on transport systems of natural membranes, phloretin also affects model membranes, i.e., artificial membranes, which do not contain proteins. Since the dipole potential reducing effect of phloretin on mono- and bilayers has been found, it became clear that its primary effect must be a biophysical one: phloretin adsorbs to lipid layers and changes biophysical parameters of these layers. The aim of this work was the characterization of the interaction between the surface-active molecule phloretin and artificial lipid layers. We were able to describe structural and functional parameters of the model systems mono- and bilayer as functions of one or few variables. One of these parameters, the dipole potential, measured as a function of the aqueous phloretin concentration, allowed a critical examination of the Langmuir adsorption model that has been postulated for the interaction between phloretin and lipid layers. Surface pressure versus area per lipid molecule isotherms and surface (dipole) potential change versus area per lipid molecule isotherms, measured at lipid monolayers, allowed a structural description of the phloretin-lipid interaction: phloretin integrates into monolayers dependent on the surface pressure and the phase state of the lipid. Calorimetric measurements confirmed the integration of phloretin into membranes because of the strong decrease of the phase transition temperature, but they also showed that the cooperativity of phase transition is hardly affected, even at very high amounts of phloretin in the membrane. Obviously the interaction between phloretin and lipids is restricted to the head groups, an integration into the hydrocarbon layer is unlikely. 2H NMR measurements with spherical unilamellar vesicles of headgroup-deuterated lipid showed changed quadrupolar splittings indicating the interaction between phloretin and headgroups of the lipids.
The goal of this work is to improve the understanding of adsorption-induced deformation in nanoporous (and in particular microporous) materials in order to explore its potential for material characterization and provide guidelines for related technical applications such as adsorption-driven actuation. For this purpose this work combines in-situ dilatometry measurements with in-depth modeling of the obtained adsorption-induced strains. A major advantage with respect to previous studies is the combination of the dilatometric setup and a commercial sorption instrument resulting in high quality adsorption and strain isotherms. The considered model materials are (activated and thermally annealed) carbon xerogels, a sintered silica aerogel, a sintered hierarchical structured porous silica and binderless zeolites of type LTA and FAU; this selection covers micro-, meso- and macroporous as well as ordered and disordered model materials.
All sample materials were characterized by scanning electron microscopy, gas adsorption and sound velocity measurements. In-situ dilatometry measurements on mesoporous model materials were performed for the adsorption of N2 at 77 K, while microporous model materials were also investigated for CO2 adsorption at 273 K, Ar adsorption at 77 K and H2O adsorption at 298 K. Within this work the available in-situ dilatometry setup was revised to improve resolution and reproducibility of measurements of small strains at low relative pressures, which are of particular relevance for microporous materials.
The obtained experimental adsorption and strain isotherms of the hierarchical structured porous silica and a micro-macroporous carbon xerogel were quantitatively analyzed based on the adsorption stress model; this approach, originally proposed by Ravikovitch and Neimark, was extended for anisotropic pore geometries within this work. While the adsorption in silica mesopores could be well described by the classical and analytical theory of Derjaguin, Broekhoff and de Boer, the adsorption in carbon micropores required for comprehensive nonlocal density functional theory calculations. To connect adsorption-induced stresses and strains, furthermore mechanical models for the respective model materials were derived. The resulting theoretical framework of adsorption, adsorption stress and mechanical model was applied to the experimental data yielding structural and mechanical information about the model materials investigated, i.e., pore size or pore size distribution, respectively, and mechanical moduli of the porous matrix and the nonporous solid skeleton. The derived structural and mechanical properties of the model materials were found to be consistent with independent measurements and/or literature values. Noteworthy, the proposed extension of the adsorption stress model proved to be crucial for the correct description of the experimental data.
Furthermore, it could be shown that the adsorption-induced deformation of disordered mesoporous aero-/xerogel structures follows qualitatively the same mechanisms obtained for the ordered hierarchical structured porous silica. However, respective quantitative modeling proved to be challenging due to the ill-shaped pore geometry of aero-/xerogels; good agreement between model and experiment could only be achieved for the filled pore regime of the adsorption isotherm and the relative pressure range of monolayer formation. In the intermediate regime of multilayer formation a more complex model than the one proposed here is required to correctly describe stress related to the curved adsorbate-adsorptive interface. Notably, for micro-mesoporous carbon xerogels it could be shown that micro- and mesopore related strain mechanisms superimpose one another.
The strain isotherms of the zeolites were only qualitatively evaluated. The result for the FAU type zeolite is in good agreement with other experiments reported in literature and the theoretical understanding derived from the adsorption stress model. On the contrary, the strain isotherm of the LTA type zeolite is rather exceptional as it shows monotonic expansion over the whole relative pressure range. Qualitatively this type of strain isotherm can also be explained by the adsorption stress model, but a respective quantitative analysis is beyond the scope of this work.
In summary, the analysis of the model materials' adsorption-induced strains proved to be a suitable tool to obtain information on their structural and mechanical properties including the stiffness of the nonporous solid skeleton. Investigations on the carbon xerogels modified by activation and thermal annealing revealed that adsorption-induced deformation is particularly suited to analyze even small changes of carbon micropore structures.
Attention-Deficit/Hyperactivity Disorder (ADHD) is characterized by symptoms of inattentiveness and hyperactivity/impulsivity. Besides, increasing evidence points to ADHD patients showing emotional dysfunctions and concomitant problems in social life. However, systematic research on emotional dysfunctions in ADHD is still rare, and to date most studies lack conceptual differentiation between emotion processing and emotion regulation. The aim of this thesis was to systematically investigate emotion processing and emotion regulation in adult ADHD in a virtual reality paradigm implementing social interaction. Emotional reactions were assessed on experiential, physiological, and behavioral levels.
Experiment 1 was conducted to develop a virtual penalty kicking paradigm implying social feedback and to test it in a healthy sample. This paradigm should then be applied in ADHD patients later on. Pleasant and unpleasant trials in this paradigm consisted of hits respectively misses and subsequent feedback from a virtual coach. In neutral trials, participants were teleported to different spots of the virtual stadium. Results indicated increased positive affectivity (higher valence and arousal ratings, higher zygomaticus activations, and higher expression rates of positive emotional behavior) in response to pleasant compared to neutral trials. Reactions to unpleasant trials were contradictory, indicating increased levels of both positive and negative affectivity, compared to neutral trials. Unpleasant vs. neutral trials revealed lower valence ratings, higher arousal ratings, higher zygomaticus activations, slightly lower corrugator activations, and higher expression rates of both positive and negative emotional behavior. The intensity of emotional reactions correlated with experienced presence in the virtual reality.
To better understand the impact of hits or misses per se vs. hits or misses with coach feedback healthy participants’ emotional reactions, only 50% of all shots were followed by coach feedback in experiment 2. Neutral trials consisted of shots over the free soccer field which were followed by coach feedback in 50 % of all trials. Shots and feedback evoked more extreme valence and arousal ratings, higher zygomaticus activations, lower corrugator activations, and higher skin conductance responses than shots alone across emotional conditions. Again, results speak for the induction of positive emotions in pleasant trials whereas the induction of negative emotions in unpleasant trials seems ambiguous. Technical improvements of the virtual reality were reflected in higher presence ratings than in experiment 1.
Experiment 3 investigated emotional reactions of adult ADHD patients and healthy controls after emotion processing and response-focused emotion regulation. Participants successively
went through an ostensible online ball-tossing game (cyber ball) inducing negative emotions, and an adapted version of the virtual penalty kicking game. Throughout cyber ball, participants were included or ostracized by two other players in different experimental blocks. Participants were instructed to explicitly show, not regulate, or hide their emotions in different experimental blocks. Results provided some evidence for deficient processing of positive emotions in ADHD. Patients reported slightly lower positive affect than controls during cyber ball, gave lower valence ratings than controls in response to pleasant penalty kicking trials, and showed lower zygomaticus activations than controls especially during penalty kicking. Patients in comparison with controls showed slightly increased processing of unpleasant events during cyber ball (higher ratings of negative affect, especially in response to ostracism), but not during penalty kicking. Patients showed lower baseline skin conductance levels than controls, and impaired skin conductance modulations. Compared to controls, patients showed slight over-expression of positive as well as negative emotional behavior. Emotion regulation analyses revealed no major difficulties of ADHD vs. controls in altering their emotional reactions through deliberate response modulation. Moreover, patients reported to habitually apply adaptive emotion regulation strategies even more frequently than controls. The analyses of genetic high-risk vs. low-risk groups for ADHD across the whole sample revealed similar results as analyses for patients vs. controls for zygomaticus modulations during emotion processing, and for modulations of emotional reactions due to emotion regulation.
To sum up, the virtual penalty kicking paradigm proved to be successful for the induction of positive, but not negative emotions. The importance of presence in virtual reality for the intensity of induced emotions could be replicated. ADHD patients showed impaired processing of primarily positive emotions. Aberrations in negative emotional responding were less clear and need further investigation. Results point to adult ADHD in comparison to healthy controls suffering from baseline deficits in autonomic arousal and deficits in arousal modulation. Deficits of ADHD in the deliberate application of response-focused emotion regulation could not be found.
Advanced Analytics in Operations Management and Information Systems: Methods and Applications
(2019)
The digital transformation of business and society presents enormous potentials for companies across all sectors. Fueled by massive advances in data generation, computing power, and connectivity, modern organizations have access to gigantic amounts of data. Companies seek to establish data-driven decision cultures to leverage competitive advantages in terms of efficiency and effectiveness. While most companies focus on descriptive tools such as reporting, dashboards, and advanced visualization, only a small fraction already leverages advanced analytics (i.e., predictive and prescriptive analytics) to foster data-driven decision-making today. Therefore, this thesis set out to investigate potential opportunities to leverage prescriptive analytics in four different independent parts.
As predictive models are an essential prerequisite for prescriptive analytics, the first two parts of this work focus on predictive analytics. Building on state-of-the-art machine learning techniques, we showcase the development of a predictive model in the context of capacity planning and staffing at an IT consulting company. Subsequently, we focus on predictive analytics applications in the manufacturing sector. More specifically, we present a data science toolbox providing guidelines and best practices for modeling, feature engineering, and model interpretation to manufacturing decision-makers. We showcase the application of this toolbox on a large data-set from a German manufacturing company.
Merely using the improved forecasts provided by powerful predictive models enables decision-makers to generate additional business value in some situations. However, many complex tasks require elaborate operational planning procedures. Here, transforming additional information into valuable actions requires new planning algorithms. Therefore, the latter two parts of this thesis focus on prescriptive analytics. To this end, we analyze how prescriptive analytics can be utilized to determine policies for an optimal searcher path problem based on predictive models. While rapid advances in artificial intelligence research boost the predictive power of machine learning models, a model uncertainty remains in most settings. The last part of this work proposes a prescriptive approach that accounts for the fact that predictions are imperfect and that the arising uncertainty needs to be considered. More specifically, it presents a data-driven approach to sales-force scheduling. Based on a large data set, a model to predictive the benefit of additional sales effort is trained. Subsequently, the predictions, as well as the prediction quality, are embedded into the underlying team orienteering problem to determine optimized schedules.
The progress which has been made in semiconductor chip production in recent years enables a multitude of cores on a single die. However, due to further decreasing structure sizes, fault tolerance and energy consumption will represent key challenges. Furthermore, an efficient communication infrastructure is indispensable due to the high parallelism at those systems. The predominant communication system at such highly parallel systems is a Network on Chip (NoC). The focus of this thesis is on NoCs which are based on deflection routing. In this context, contributions are made to two domains, fault tolerance and dimensioning of the optimal link width. Both aspects are essential for the application of reliable, energy efficient, and deflection routing based NoCs.
It is expected that future semiconductor systems have to cope with high fault probabilities. The inherently given high connectivity of most NoC topologies can be exploited to tolerate the breakdown of links and other components. In this thesis, a fault-tolerant router architecture has been developed, which stands out for the deployed interconnection architecture and the method to overcome complex fault situations. The presented simulation results show, all data packets arrive at their destination, even at high fault probabilities. In contrast to routing table based architectures, the hardware costs of the herein presented architecture are lower and, in particular, independent of the number of components in the network.
Besides fault tolerance, hardware costs and energy efficiency are of great importance. The utilized link width has a decisive influence on these aspects. In particular, at deflection routing based NoCs, over- and under-sizing of the link width leads to unnecessary high hardware costs and bad performance, respectively. In the second part of this thesis, the optimal link width at deflection routing based NoCs is investigated. Additionally, a method to reduce the link width is introduced. Simulation and synthesis results show, the herein presented method allows a significant reduction of hardware costs at comparable performance.
This work takes a close look at several quite different research areas related to the design of networked embedded sensor/actuator systems. The variety of the topics illustrates the potential complexity of current sensor network applications; especially when enriched with actuators for proactivity and environmental interaction. Besides their conception, development, installation and long-term operation, we'll mainly focus on more "low-level" aspects: Compositional hardware and software design, task cooperation and collaboration, memory management, and real-time operation will be addressed from a local node perspective. In contrast, inter-node synchronization, communication, as well as sensor data acquisition, aggregation, and fusion will be discussed from a rather global network view. The diversity in the concepts was intentionally accepted to finally facilitate the reliable implementation of truly complex systems. In particular, these should go beyond the usual "sense and transmit of sensor data", but show how powerful today's networked sensor/actuator systems can be despite of their low computational performance and constrained hardware: If their resources are only coordinated efficiently!
Magnetic Resonance Imaging (MRI) is a non-invasive medical imaging technique, that is rou- tinely used in clinical practice for detection and diagnosis of a wide range of different diseases. In MRI, no ionizing radiation is used, making even repeated application unproblematic. This is an important advantage over other common imaging methods such as X-rays and Computer To- mography. One major drawback of MRI, however, are long acquisition times and associated high costs of experiments. Since the introduction of MRI, several important technical developments have been made to successfully reduce acquisition times. In this work, novel approaches were developed to increase the efficiency of MRI acquisitions.
In Chapter 4, an improved radial turbo spin-echo (TSE) combined acquisition and reconstruction strategy was introduced. Cartesian turbo spin-echo sequences [3] are widely used especially for the detection and diagnosis of neurological pathologies, as they provide high SNR images with both clinically important proton density and T2 contrasts. TSE acquisitions combined with radial sampling are very efficient, since it is possible to obtain a number of ETL images with different contrasts from a single radial TSE measurement [56–58]. Conventionally, images with a particular contrast are obtained from both radial and Cartesian TSE acquisitions by combining data from different echo times into a single image. In the radial case, this can be achieved by employing k-space weighted image contrast (KWIC) reconstruction. In KWIC, the center region of k-space is filled exclusively with data belonging to the desired contrast while outer regions also are assembled with data acquired at other echo times. However, this data sharing leads to mixed contrast contributions to both Cartesian and radial TSE images. This is true especially for proton density weighted images and therefore may reduce their diagnostic value.
In the proposed method, an adapted golden angle reordering scheme is introduced for radial TSE acquisitions, that allows a free choice of the echo train length and provides high flexibility in image reconstruction. Unwanted contrast contaminations are greatly reduced by employing a narrow-band KWIC filter, that restricts data sharing to a small temporal window around the de- sired echo time. This corresponds to using fewer data than required for fully sampled images and consequently leads to images exhibiting aliasing artifacts. In a second step, aliasing-free images are obtained using parallel imaging. In the neurological examples presented, the CG-SENSE algorithm [42] was chosen due to its stable convergence properties and its ability to reconstruct arbitrarily sampled data. In simulations as well as in different in vivo neurological applications, no unwanted contrast contributions could be observed in radial TSE images reconstructed with the proposed method. Since this novel approach is easy to implement on today’s scanners and requires low computational power, it might be valuable for the clinical breakthrough of radial TSE acquisitions.
In Chapter 5, an auto-calibrating method was introduced to correct for stimulated echo contribu- tions to T2 estimates from a mono-exponential fit of multi spin-echo (MSE) data. Quantification of T2 is a useful tool in clinical routine for the detection and diagnosis of diseases as well as for tis- sue characterization. Due to technical imperfections, refocusing flip angles in a MSE acquisition deviate from the ideal value of 180○. This gives rise to significant stimulated echo contributions to the overall signal evolution. Therefore, T2 estimates obtained from MSE acquisitions typically are notably higher than the reference. To obtain accurate T2 estimates from MSE acquisitions, MSE signal amplitudes can be predicted using the extended phase graph (EPG, [23, 24]) algo- rithm. Subsequently, a correction factor can be obtained from the simulated EPG T2 value and applied to the MSE T2 estimates. However, EPG calculations require knowledge about refocus- ing pulse amplitudes, T2 and T1 values and the temporal spacing of subsequent echoes. While the echo spacing is known and, as shown in simulations, an approximate T1 value can be assumed for high ratios of T1/T2 without compromising accuracy of the results, the remaining two parameters are estimated from the data themselves. An estimate for the refocusing flip angle can be obtained from the signal intensity ratio of the second to the first echo using EPG. A conventional mono- exponential fit of the MSE data yields a first estimate for T2. The T2 correction is then obtained iteratively by updating the T2 value used for EPG calculations in each step. For all examples pre- sented, two iterations proved to be sufficient for convergence. In the proposed method, a mean flip angle is extracted across the slice. As shown in simulations, this assumption leads to greatly reduced deviations even for more inhomogeneous slice profiles. The accuracy of corrected T2 values was shown in experiments using a phantom consisting of bottles filled with liquids with a wide range of different T2 values. While T2 MSE estimates were shown to deviate significantly from the spin-echo reference values, this is not the case for corrected T2 values. Furthermore, applicability was demonstrated for in vivo neurological experiments.
In Chapter 6, a new auto-calibrating parallel imaging method called iterative GROG was pre- sented for the reconstruction of non-Cartesian data. A wide range of different non-Cartesian schemes have been proposed for data acquisition in MRI, that present various advantages over conventional Cartesian sampling such as faster acquisitions, improved dynamic imaging and in- trinsic motion correction. However, one drawback of non-Cartesian data is the more complicated reconstruction, which is ever more problematic for non-Cartesian parallel imaging techniques. Iterative GROG uses Calibrationless Parallel Imaging by Structured Low-Rank Matrix Completion (CPI) for data reconstruction. Since CPI requires points on a Cartesian grid, it cannot be used to directly reconstruct non-Cartesian data. Instead, Grappa Operator Gridding (GROG) is employed in a first step to move the non-Cartesian points to the nearest Cartesian grid locations. However, GROG requires a fully sampled center region of k-space for calibration. Combining both methods in an iterative scheme, accurate GROG weights can be obtained even from highly undersampled non-Cartesian data. Subsequently, CPI can be used to reconstruct either full k- space or a calibration area of arbitrary size, which can then be employed for data reconstruction with conventional parallel imaging methods.
In Chapter 7, a new 2D sampling scheme was introduced consisting of multiple oscillating effi- cient trajectories (MOET), that is optimized for Compressed Sensing (CS) reconstructions. For successful CS reconstruction of a particular data set, some requirements have to be met. First, ev- ery data sample has to carry information about the whole object, which is automatically fulfilled for the Fourier sampling employed in MRI. Additionally, the image to be reconstructed has to be sparse in an arbitrary domain, which is true for a number of different applications. Last, data sam- pling has to be performed in an incoherent fashion. For 2D imaging, this important requirement of CS is difficult to achieve with conventional Cartesian and non-Cartesian sampling schemes. Ra- dial sampling is often used for CS reconstructions of dynamic data despite the streaking present in undersampled images. To obtain incoherent aliasing artifacts in undersampled images while at the same time preserving the advantages of radial sampling for dynamic imaging, MOET com- bines radial spokes with oscillating gradients of varying amplitude and alternating orientation orthogonal to the readout direction. The advantage of MOET over radial sampling in CS re- constructions was demonstrated in simulations and in in vivo cardiac imaging. MOET provides superior results especially when used in CS reconstructions with a sparsity constraint directly in image space. Here, accurate results could be obtained even from few MOET projections, while the coherent streaking artifacts present in the case of radial sampling prevent image recovery even for smaller acceleration factors. For CS reconstructions of dynamic data with sparsity constraint in xf-space, the advantage of MOET is smaller since the temporal reordering is responsible for an important part of incoherency. However, as was shown in simulations of a moving phantom and in the reconstruction of ungated cardiac data, the additional spatial incoherency provided by MOET still leads to improved results with higher accuracy and may allow reconstructions with higher acceleration factors.
Magnetic Resonance Imaging (MRI) is an imaging modality which provides anatomical or functional images of the human body with variable contrasts in an arbitrarily positioned slice without the need for ionizing radiation. In MRI, data are not acquired directly, but in the reciprocal image space (otherwise known as k-space) through the application of spatially variable magnetic field gradients. The k-space is made up of a grid of data points which are generally acquired in a line-by-line fashion (Cartesian imaging). After the acquisition, the k-space data are transformed into the image domain using the Fast Fourier Transformation (FFT). However, the acquisition of data is not limited to the rectilinear Cartesian sampling scheme described above. Non-Cartesian acquisitions, where the data are collected along exotic trajectories, such as radial and spiral, have been shown to be beneficial in a number of applications. However, despite their additional properties and potential advantages, working with non-Cartesian data can be complicated. The primary difficulty is that non-Cartesian trajectories are made up of points which do not fall on a Cartesian grid, and a simple and fast FFT algorithm cannot be employed to reconstruct images from non-Cartesian data. In order to create an image, the non-Cartesian data are generally resampled on a Cartesian grid, an operation known as gridding, before the FFT is performed. Another challenge for non-Cartesian imaging is the combination of unusual trajectories with parallel imaging. This thesis has presented several new non-Cartesian parallel imaging methods which simplify both gridding and the reconstruction of images from undersampled data. In Chapter 4, a novel approach which uses the concepts of parallel imaging to grid data sampled along a non-Cartesian trajectory called GRAPPA Operator Gridding (GROG) is described. GROG shifts any acquired k-space data point to its nearest Cartesian location, thereby converting non-Cartesian to Cartesian data. The only requirements for GROG are a multi-channel acquisition and a calibration dataset for the determination of the GROG weights. Chapter 5 discusses an extension of GRAPPA Operator Gridding, namely Self-Calibrating GRAPPA Operator Gridding (SC-GROG). SC-GROG is a method by which non-Cartesian data can be gridded using spatial information from a multi-channel coil array without the need for an additional calibration dataset, as required in standard GROG. Although GROG can be used to grid undersampled datasets, it is important to note that this method uses parallel imaging only for gridding, and not to reconstruct artifact-free images from undersampled data. Chapter 6 introduces a simple, novel method for performing modified Cartesian GRAPPA reconstructions on undersampled non-Cartesian k-space data gridded using GROG to arrive at a non-aliased image. Because the undersampled non-Cartesian data cannot be reconstructed using a single GRAPPA kernel, several Cartesian patterns are selected for the reconstruction. Finally, Chapter 7 discusses a novel method of using GROG to mimic the bunched phase encoding acquisition (BPE) scheme. In MRI, it is generally assumed that an artifact-free image can be reconstructed only from sampled points which fulfill the Nyquist criterion. However, the BPE reconstruction is based on the Generalized Sampling Theorem of Papoulis, which states that a continuous signal can be reconstructed from sampled points as long as the points are on average sampled at the Nyquist frequency. A novel method of generating the “bunched” data using GRAPPA Operator Gridding (GROG), which shifts datapoints by small distances in k-space using the GRAPPA Operator instead of employing zig-zag shaped gradients, is presented in this chapter. With the conjugate gradient reconstruction method, these additional “bunched” points can then be used to reconstruct an artifact-free image from undersampled data. This method is referred to as GROG-facilitated Bunched Phase Encoding, or GROG-BPE.
Several aspects of the stability analysis of large-scale discrete-time systems are considered. An important feature is that the right-hand side does not have have to be continuous.
In particular, constructive approaches to compute Lyapunov functions are derived and applied to several system classes.
For large-scale systems, which are considered as an interconnection of smaller subsystems, we derive a new class of small-gain results, which do not require the subsystems to be robust in some sense. Moreover, we do not only study sufficiency of the conditions, but rather state an assumption under which these conditions are also necessary.
Moreover, gain construction methods are derived for several types of aggregation, quantifying how large a prescribed set of interconnection gains can be in order that a small-gain condition holds.
In order to mimic the extracellular matrix for tissue engineering, recent research approaches often involve 3D printing or electrospinning of fibres to scaffolds as cell carrier material. Within this thesis, a micron fibre printing process, called melt electrospinning writing (MEW), combining both additive manufacturing and electrospinning, has been investigated and improved. Thus, a unique device was developed for accurate process control and manufacturing of high quality constructs. Thereby, different studies could be conducted in order to understand the electrohydrodynamic printing behaviour of different medically relevant thermoplastics as well as to characterise the influence of MEW on the resulting scaffold performance.
For reproducible scaffold printing, a commonly occurring processing instability was investigated and defined as pulsing, or in extreme cases as long beading. Here, processing analysis could be performed with the aim to overcome those instabilities and prevent the resulting manufacturing issues. Two different biocompatible polymers were utilised for this study: poly(ε-caprolactone) (PCL) as the only material available for MEW until then and poly(2-ethyl-2-oxazoline) for the first time. A hypothesis including the dependency of pulsing regarding involved mass flows regulated by the feeding pressure and the electrical field strength could be presented. Further, a guide via fibre diameter quantification was established to assess and accomplish high quality printing of scaffolds for subsequent research tasks.
By following a combined approach including small sized spinnerets, small flow rates and high field strengths, PCL fibres with submicron-sized fibre diameters (fØ = 817 ± 165 nm) were deposited to defined scaffolds. The resulting material characteristics could be investigated regarding molecular orientation and morphological aspects. Thereby, an alignment and isotropic crystallinity was observed that can be attributed to the distinct acceleration of the solidifying jet in the electrical field and by the collector uptake. Resulting submicron fibres formed accurate but mechanically sensitive structures requiring further preparation for a suitable use in cell biology. To overcome this handling issue, a coating procedure, by using hydrophilic and cross-linkable star-shaped molecules for preparing fibre adhesive but cell repellent collector surfaces, was used.
Printing PCL fibre patterns below the critical translation speed (CTS) revealed the opportunity to manufacture sinusoidal shaped fibres analogously to those observed using purely viscous fluids falling on a moving belt. No significant influence of the high voltage field during MEW processing could be observed on the buckling phenomenon. A study on the sinusoidal geometry revealed increasing peak-to-peak values and decreasing wavelengths as a function of decreasing collector speeds sc between CTS > sc ≥ 2/3 CTS independent of feeding pressures. Resulting scaffolds printed at 100 %, 90 %, 80 % and 70 % of CTS exhibited significantly different tensile properties, foremost regarding Young’s moduli (E = 42 ± 7 MPa to 173 ± 22 MPa at 1 – 3 % strain). As known from literature, a changed morphology and mechanical environment can impact cell performance substantially leading to a new opportunity of tailoring TE scaffolds.
Further, poly(L-lactide-co-ε-caprolactone-co-acryloyl carbonate) as well as poly(ε-caprolactone-co-acryloyl carbonate) (PCLAC) copolymers could be used for MEW printing. Those exhibit the opportunity for UV-initiated radical cross-linking in a post-processing step leading to significantly increased mechanical characteristics. Here, single fibres of the polymer composed of 90 mol.% CL and 10 mol.% AC showed a considerable maximum tensile strength of σmax = 53 ± 16 MPa. Furthermore, sinusoidal meanders made of PCLAC yielded a specific tensile stress-strain characteristic mimicking the qualitative behaviour of tendons or ligaments. Cell viability by L929 murine fibroblasts and live/dead staining with human mesenchymal stem cells revealed a promising biomaterial behaviour pointing out MEW printed PCLAC scaffolds as promising choice for medical repair of load-bearing soft tissue.
Indeed, one apparent drawback, the small throughput similar to other AM methods, may still prevent MEW’s industrial application yet. However, ongoing research focusses on enlargement of manufacturing speed with the clear perspective of relevant improvement. Thereby, the utilisation of large spinneret sizes may enable printing of high volume rates, while downsizing the resulting fibre diameter via electrical field and mechanical stretching by the collector uptake. Using this approach, limitations of FDM by small nozzle sizes could be overcome. Thinking visionary, such printing devices could be placed in hospitals for patient-specific printing-on-demand therapies one day. Taking the evolved high deposition precision combined with the unique small fibre diameter sizes into account, technical processing of high performance membranes, filters or functional surface finishes also stands to reason.
Since its first experimental implementation in 2005, single-molecule localization microscopy (SMLM) emerged as a versatile and powerful imaging tool for biological structures with nanometer resolution. By now, SMLM has compiled an extensive track-record of novel insights in sub- and inter- cellular organization.\\
Moreover, since all SMLM techniques rely on the analysis of emission patterns from isolated fluorophores, they inherently allocate molecular information $per$ $definitionem$.\\
Consequently, SMLM transitioned from its origin as pure high-resolution imaging instrument towards quantitative microscopy, where the key information medium is no longer the highly resolved image itself, but the raw localization data set.\\
The work presented in this thesis is part of the ongoing effort to translate those $per$ $se$ molecular information gained by SMLM imaging to insights into the structural organization of the targeted protein or even beyond. Although largely consistent in their objectives, the general distinction between global or segmentation clustering approaches on one side and particle averaging or meta-analyses techniques on the other is usually made.\\
During the course of my thesis, I designed, implemented and employed numerous quantitative approaches with varying degrees of complexity and fields of application.\\ \\
In my first major project, I analyzed the localization distribution of the integral protein gp210 of the nuclear pore complex (NPC) with an iterative \textit{k}-means algorithm. Relating the distinct localization statistics of separated gp210 domains to isolated fluorescent signals led, among others, to the conclusion that the anchoring ring of the NPC consists of 8 homo-dimers of gp210.\\
This is of particular significance, both because it answered a decades long standing question about the nature of the gp210 ring and it showcased the possibility to gain structural information well beyond the resolution capabilities of SMLM by crafty quantification approaches.\\ \\
The second major project reported comprises an extensive study of the synaptonemal complex (SNC) and linked cohesin complexes. Here, I employed a multi-level meta-analysis of the localization sets of various SNC proteins to facilitate the compilation of a novel model of the molecular organization of the major SNC components with so far unmatched extend and detail with isotropic three-dimensional resolution.\\
In a second venture, the two murine cohesin components SMC3 and STAG3 connected to the SNC were analyzed. Applying an adapted algorithm, considering the disperse nature of cohesins, led to the realization that there is an apparent polarization of those cohesin complexes in the SNC, as well as a possible sub-structure of STAG3 beyond the resolution capabilities of SMLM.\\ \\
Other minor projects connected to localization quantification included the study of plasma membrane glycans regarding their overall localization distribution and particular homogeneity as well as the investigation of two flotillin proteins in the membrane of bacteria, forming clusters of distinct shapes and sizes.\\ \\
Finally, a novel approach to three-dimensional SMLM is presented, employing the precise quantification of single molecule emitter intensities. This method, named TRABI, relies on the principles of aperture photometry which were improved for SMLM.\\
With TRABI it was shown, that widely used Gaussian fitting based localization software underestimates photon counts significantly. This mismatch was utilized as a $z$-dependent parameter, enabling the conversion of 2D SMLM data to a virtual 3D space. Furthermore it was demonstrated, that TRABI can be combined beneficially with a multi-plane detection scheme, resulting in superior performance regarding axial localization precision and resolution.\\
Additionally, TRABI has been subsequently employed to photometrically characterize a novel dye for SMLM, revealing superior photo-physical properties at the single-molecule level.\\
Following the conclusion of this thesis, the TRABI method and its applications remains subject of diverse ongoing research.
In a three-year study the current aeolian transportation processes were examined in a linear dune area previously used for grazing near Nizzana at the Israeli-Egyptian border. The research area was subject to heavy grazing across the border, which led to the total destruction of the natural vegetation in the period of 1967 to 1982. As a consequence, intensified aeolian activity and significant changes of the morphology of the dunes were observed. After the end of the grazingg on the Israeli side, a rapid return of the vegetation in the interdune corridors and on the footslopes of the dunes took place. In addition also a reduction of obviously active areas on the dune crests was observed. The situation on Egyptian territory west the border remained unchanged until today. This study is aimed at understanding the changed aeolian morphodynamics east the border. The emphasis was placed on the investigation of the spatial and temporal distribution of aeolian sand transport as well as on the influencing factors morphology, surface condition and vegetation.
In the last years, visual methods have been introduced in industrial software production and teaching of software engineering. In particular, the international standardization of a graphical software engineering language, the Unified Modeling Language (UML) was a reason for this tendency. Unfortunately, various problems exist in concrete realizations of tools, e.g. due to a missing compliance to the standard. One problem is the automatic layout, which is required for a consistent automatic software design. The thesis derives reasons and criteria for an automatic layout method, which produces drawings of UML class diagrams according to the UML specification and issues of human computer interaction, e.g. readability. A unique set of aesthetic criteria is combined from four different disciplines involved in this topic. Based on these aethetic rules, a hierarchical layout algorithm is developed, analyzed, measured by specialized measuring techniques and compared to related work. Then, the realization of the algorithm as a Java framework is given as an architectural description. Finally, adaptions to anticipated future changes of the UML, improvements of the framework and example drawings of the implementation are given.
Cognitive control is what makes goal-directed actions possible. Whenever the environment or our impulses strongly suggests a response that is incompatible with our goals, conflict arises. Such conflicts are believed to cause negative affect. Aversive consequences of conflict may be registered in a conflict monitoring module, which subsequently initiates attentional changes and action tendencies to reduce negative affect. This association suggests that behavioral adaptation might be a reflection of emotion regulation. The theoretical cornerstone of current research on emotion regulation is the process model of emotion regulation, which postulates the regulation strategies situation selection, situation modification, attentional deployment, cognitive change, and response modulation. Under the assumption that conflict adaptation and affect regulation share common mechanisms, I derived several predictions regarding cognitive control from the process model of emotion regulation and tested them in 11 experiments (N = 509). Participants engaged in situation selection towards conflict, but only when they were explicitly pointed to action-outcome contingencies (Experiments 1 to 3). I found support for a mechanism resembling situation modification, but no evidence for a role of affect (Experiments 4 to 10). Changing the evaluation of conflict had no impact on the extent of conflict adaptation (Experiment 11). Overall, there was evidence for an explicit aversiveness of cognitive conflict, but less evidence for implicit aversiveness, suggesting that conflict may trigger affect regulation processes, particularly when people explicitly have affect regulation goals in mind.
In this thesis affine-scaling-methods for two different types of mathematical problems are considered. The first type of problems are nonlinear optimization problems subject to bound constraints. A class of new affine-scaling Newton-type methods is introduced. The methods are shown to be locally quadratically convergent without assuming strict complementarity of the solution. The new methods differ from previous ones mainly in the choice of the scaling matrix. The second type of problems are semismooth system of equations with bound constraints. A new affine-scaling trust-region method for these problems is developed. The method is shown to have strong global and local convergence properties under suitable assumptions. Numerical results are presented for a number of problems arising from different areas.
Human prosociality, encompassing generosity, cooperation, and volunteering, holds a vital role in our daily lives. Over the last decades, the question of whether prosociality undergoes changes over the adult lifespan has gained increased research attention. Earlier studies suggested increased prosociality in older compared to younger individuals. However, recent meta-analyses revealed that this age effect might be heterogeneous and modest. Moreover, the contributing factors and mechanisms behind these age-related variations remain to be identified. To unravel age-related differences in prosociality, the first study of this dissertation employed a meta-analytical approach to summarize existing findings and provide insight into their heterogeneity by exploring linear and quadratic age effects on self-reported and behavioral prosociality. Additionally, two empirical research studies investigated whether these age-related differences in prosociality were observed in real life, assessed through ecological momentary assessment (Study 2), and in a controlled laboratory setting by applying a modified dictator game (Study 3). Throughout these three studies, potential underlying behavioral and computational mechanisms were explored. The outcome of the meta-analysis (Study 1) revealed small linear age effects on prosociality and significant age group differences between younger and older adults, with higher levels of prosociality in older adults. Explorative evidence emerged in favor of a quadratic age effect on behavioral prosociality, indicating the highest levels in midlife. Additionally, heightened prosocial behavior among middle-aged adults was observed compared to younger adults, whereas no significant differences in prosocial behavior were noted between middle-aged and older adults. Situational and contextual features, such as the setting of the study and specific paradigm characteristics, moderated the age-prosociality relationship, highlighting the importance of the (social) context when studying prosociality. For Study 2, no significant age effect on real-life prosocial behavior was observed. However, evidence for a significant linear and quadratic age effect on experiencing empathy in real life emerged, indicating a midlife peak. Additionally, across all age groups, the link between an opportunity to empathize and age significantly predicted real-life prosocial behavior. This effect, indicating higher levels of prosocial behavior when there was a situation possibly evoking empathy, was most pronounced in midlife. Study 3 presented age differences in how older and younger adults integrate values related to monetary gains for self and others to make a potential prosocial decision. Younger individuals effectively combined both values in a multiplicative fashion, enhancing decision-making efficiency. Older adults showed an additive effect of values for self and other and displayed increased decision-making efficiency when considering the values separately. However, among older adults, individuals with better inhibitory control were better able to integrate information about both values in their decisions. Taken together, the findings of this dissertation offer new insights into the multi-faceted nature of prosociality across adulthood and the mechanisms that help explain these age-related disparities. While this dissertation observed increasing prosociality across the adult lifespan, it also questions the assumption that older adults are inherently more prosocial. The studies highlight midlife as a potential peak period in social development but also emphasize the importance of the (social) context and that different operationalizations might capture distinct facets of prosociality. This underpins the need for a comprehensive framework to understand age effects of prosociality better and guide potential interventions.
The prevalence of cardiovascular diseases (CVD) increases dramatically with age. Nevertheless, most of the basic research in cardiology has been conducted on young healthy animals which may not necessarily reflect the situation observed in the clinic. The heart undergoes profound changes in elderly, including molecular alterations, myocardial hypertrophy, interstitial fibrosis and functional decline. To date, numerous approaches exist to explain mechanisms of the cardiac aging process whereupon inflammation and immune activity are of increasing interest. Myocardial aging is temporally associated with chronic low-grade systemic inflammation and accumulation of memory T-cells. However, a possible causal relationship between these two phenomena has not yet been investigated. Thus, aim of the present study was to assess how immunological mechanisms contribute to the myocardial aging process.
Herein, the healthy murine heart was found to harbor all major resident leukocyte populations, including macrophages (CD45+CD11b+Ly6G-), granulocytes (CD45+ CD11b+Ly6G+), T-cells (CD45+CD11b-CD3e+), B-cells (CD45+CD11b-B220+) at frequencies that largely surpass those found in skeletal muscles. Age-related structural alterations and functional impairment occur simultaneously with significant shifts of the tissue resident leukocyte composition. Gene expression analyses performed on bulk myocardial samples revealed higher expression levels of TNF and INF- suggesting that in situ inflammation plays a role in the myocardial aging process. Aging was furthermore accompanied by a significant increase in size and cellularity of mediastinal, heart draining lymph nodes (med LN). Moreover, the med LNs harvested from aged mice showed a strong accumulation of effector-memory T-cells (CD44+CD62L-), mainly exhibiting a pro-inflammatory phenotype (Foxp3-, TNF+, IFN- γ+). None of these alterations were observed in popliteal lymph nodes of aged mice, indicating that they might be site-specific.
Next, to go beyond mere associative evidence and examine underlying mechanisms, the myocardial aging process was comprehensively characterized in mice lacking B- (µMT) or CD4+ T-cells (CD4ko). Our analyses revealed that aged CD4+ T-cell-deficient, but not B-cell-deficient mice, exhibit a lower in situ inflammatory tone and preserved ventricular function, as compared to age-matched wild type controls. No differences in the expression levels of genes related to fibrosis were observed in the groups.
Taken together, the results of this study indicate that heart-directed immune responses may spontaneously arise in the elderly, even in the absence of a clear tissue damage or concomitant infection. The T-cell-mediated immunosenescence profile might be particularly associated with age-related myocardial inflammation and functional decline, but not with tissue remodeling. These observations might shed new light on the emerging role of T cells in myocardial diseases, which primarily affect the elderly population.
Mammalian embryonic development is subject to complex biological relationships that need to be understood. However, before the whole structure of development can be put together, the individual building blocks must first be understood in more detail. One of these building blocks is the second cell fate decision and describes the differentiation of cells of the inner cell mass of the embryo into epiblast and primitive endoderm cells. These cells then spatially segregate and form the subsequent bases for the embryo and yolk sac, respectively. In organoids of the inner cell mass, these two types of progenitor cells are also observed to form, and to some extent to spatially separate. This work has been devoted to these phenomena over the past three years. Plenty of studies already provide some insights into the basic mechanics of this cell differentiation, such that the first signs of epiblast and primitive endoderm differentiation, are the expression levels of transcription factors NANOG and GATA6. Here, cells with low expression of GATA6 and high expression of NANOG adopt the epiblast fate. If the expressions are reversed, a primitive endoderm cell is formed. Regarding the spatial segregation of the two cell types, it is not yet clear what mechanism leads to this. A common hypothesis suggests the differential adhesion of cell as the cause for the spatial rearrangement of cells. In this thesis however, the possibility of a global cell-cell communication is investigated. The approach chosen to study these phenomena follows the motto "mathematics is biology's next microscope". Mathematical modeling is used to transform the central gene regulatory network at the heart of this work into a system of equations that allows us to describe the temporal evolution of NANOG and GATA6 under the influence of an external signal. Special attention is paid to the derivation of new models using methods of statistical mechanics, as well as the comparison with existing models. After a detailed stability analysis the advantages of the derived model become clear by the fact that an exact relationship of the model parameters and the formation of heterogeneous mixtures of two cell types was found. Thus, the model can be easily controlled and the proportions of the resulting cell types can be estimated in advance. This mathematical model is also combined with a mechanism for global cell-cell communication, as well as a model for the growth of an organoid. It is shown that the global cell-cell communication is able to unify the formation of checkerboard patterns as well as engulfing patterns based on differently propagating signals. In addition, the influence of cell division and thus organoid growth on pattern formation is studied in detail. It is shown that this is able to contribute to the formation of clusters and, as a consequence, to breathe some randomness into otherwise perfectly sorted patterns.
Subject of the present study is the agent-based computer simulation of Agent Island. Agent Island is a macroeconomic model, which belongs to the field of monetary theory. Agent-based modeling is an innovative tool that made much progress in other scientific fields like medicine or logistics. In economics this tool is quite new, and in monetary theory to this date virtual no agent-based simulation model has been developed. It is therefore the topic of this study to close this gap to some extend. Hence, the model integrates in a straightforward way next to the common private sectors (i.e. households, consumer goods firms and capital goods firms) and as an innovation a banking system, a central bank and a monetary circuit. Thereby, the central bank controls the business cycle via an interest rate policy; the according mechanism builds on the seminal idea of Knut Wicksell (natural rate of interest vs. money rate of interest). In addition, the model contains also many Keynesian features and a flow-of-funds accounting system in the tradition of Wolfgang Stützel. Importantly, one objective of the study is the validation of Agent Island, which means that the individual agents (i.e. their rules, variables and parameters) are adjusted in such a way that on the aggregate level certain phenomena emerge. The crucial aspect of the modeling and the validation is therefore the relation between the micro and macro level: Every phenomenon on the aggregate level (e.g. some stylized facts of the business cycle, the monetary transmission mechanism, the Phillips curve relationship, the Keynesian paradox of thrift or the course of the business cycle) emerges out of individual actions and interactions of the many thousand agents on Agent Island. In contrast to models comprising a representative agent, we do not apply a modeling on the aggregate level; and in contrast to orthodox GE models, true interaction between heterogeneous agents takes place (e.g. by face-to-face-trading).