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This work presents excited state investigations on several systems with respect to experimental
spectroscopic work. The majority of projects covers the temporal evolution of
excitations in thin films of organic semiconductor materials. In the first chapters, thinfilm
and interface systems are build from diindeno[1,2,3-cd:1’,2’,3’-lm]perylene (DIP)
and N,N’-bis-(2-ethylhexyl)-dicyanoperylene-3,4:9,10-bis(dicarboximide) (PDIR-CN2)
layers, in the third chapter bulk systems consist of 4,4’,4”-tris[(3-methylphenyl)phenylamino]
triphenylamine (m-MTDATA), 4,7-diphenyl-1,10-phenanthroline (BPhen) and
tris-(2,4,6-trimethyl-3-(pyridin-3-yl)phenyl)borane (3TPYMB). These were investigated
by aggregate-based calculations. Careful selection of methods and incorporation
of geometrical relaxation and environmental effects allows for a precise energetical assignment
of excitations. The biggest issue was a proper description of charge-transfer
excitations, which was resolved by the application of ionization potential tuning on
aggregates. Subsequent characterization of excitations and their interplay condenses
the picture. Therefore, we could assign important features of the experimental spectroscopic
data and explain differences between systems.
The last chapter in this work covers the analysis of single molecule spectroscopy on
methylbismut. This poses different challenges for computations, such as multi-reference
character of low-lying excitations and an intrinsic need for a relativistic description.
We resolved this by combining complete active space self-consistent field based methods
with scalarrelativistic density-functional theory. Thus we were able to confidently
assign the spectroscopic features and explain underlying processes.
Network planning has come to great importance during the past decades. Today's telecommunication, traffic systems, and logistics would not have been evolved to the current state without careful analysis of the underlying network problems and precise implementation of the results obtained from those examinations. Graphs with node and arc attributes are a very useful tool to model realistic applications, while on the other hand they are well understood in theory. We investigate network design problems which are motivated particularly from applications in communication networks and logistics. Those problems include the search for homogeneous subgraphs in edge labeled graphs where either the total number of labels or the reload cost are subject to optimize. Further, we investigate some variants of the dial a ride problem. On the other hand, we use node and edge upgrade models to deal with the fact that in many cases one prefers to change existing networks rather than implementing a newly computed solution from scratch. We investigate the construction of bottleneck constrained forests under a node upgrade model, as well as several flow cost problems under a edge based upgrade model. All problems are examined within a framework of multi-criteria optimization. Many of the problems can be shown to be NP-hard, with the consequence that, under the widely accepted assumption that P is not equal to NP, there cannot exist efficient algorithms for solving the problems. This motivates the development of approximation algorithms which compute near-optimal solutions with provable performance guarantee in polynomial time.
Social life is organized around rules and norms. The present experiments investigate the cognitive architecture of rule violations. To do so, a setting with arbitrary rules that had to be followed or broken was developed, and breaking these rules did not have any negative consequences. Removed from any social influences that might further encourage or hinder the rule breaker, results suggest that simply labeling a behavior as a rule violation comes with specific costs: They are more difficult to plan and come with specific behavioral markers during execution. In essence, rule violations resemble rule negations, but they also trigger additional processes.
The question of what makes rule violations more difficult than rule inversions is the major focus of the remaining experiments. These experiments revealed negative affective consequences of rule violation and rule inversions alike, while rule violations additionally prime authority-related concepts, thus sensitizing towards authority related stimuli.
Next, the question how these burdens of non-conformity can be mitigated was investigated, and the influence of having executed the behavior in question frequently and recently was tested in both negations and rule violations. The burdens of non-conformity can best be reduced by a combination of having violated/negated a rule very frequently and very recently. Transfer from another task, however, could not be identified.
To conclude, a model that accounts for the data that is currently presented is proposed. As a variant of a task switching model, it describes the cognitive processes that were investigated and highlights unique processing steps that rule violations seem to require.
This cumulative dissertation is organized as follows:
After the introduction, the second chapter, based on “Asymptotic independence of bivariate order statistics” (2017) by Falk and Wisheckel, is an investigation of the asymptotic dependence behavior of the components of bivariate order statistics. We find that the two components of the order statistics become asymptotically independent for certain combinations of (sequences of) indices that are selected, and it turns out that no further assumptions on the dependence of the two components in the underlying sample are necessary. To establish this, an explicit representation of the conditional distribution of bivariate order statistics is derived.
Chapter 3 is from “Conditional tail independence in archimedean copula models” (2019) by Falk, Padoan and Wisheckel and deals with the conditional distribution of an Archimedean copula, conditioned on one of its components. We show that its tails are independent under minor conditions on the generator function, even if the unconditional tails were dependent. The theoretical findings are underlined by a simulation study and can be generalized to Archimax copulas.
“Generalized pareto copulas: A key to multivariate extremes” (2019) by Falk, Padoan and Wisheckel lead to Chapter 4 where we introduce a nonparametric approach to estimate the probability that a random vector exceeds a fixed threshold if it follows a Generalized Pareto copula. To this end, some theory underlying the concept of Generalized Pareto distributions is presented first, the estimation procedure is tested using a simulation and finally applied to a dataset of air pollution parameters in Milan, Italy, from 2002 until 2017.
The fifth chapter collects some additional results on derivatives of D-norms, in particular a condition for the existence of directional derivatives, and multivariate spacings, specifically an explicit formula for the second-to-last bivariate spacing.
This dissertation deals with certain business strategies that have become particularly relevant with the spread and development of new information technologies.
The introduction explains the motivation, discusses different ways of defining the term "two-sided market", and briefly summarizes the subsequent essays.
The first essay examines the effects of product information on the pricing and advertising decision of a seller who offers an experience good whose quality is unknown to consumers prior to purchase. It comprises of two theoretical models which differ with respect to their view on advertising. The analysis addresses the question how the availability of additional, potentially misleading information affects the seller's quality-dependent pricing and advertising decision.
In the first model, in which both advertising and product reviews make consumers aware about product existence, the seller's optimal price turns out to be increasing in product quality. However, under certain circumstances, also the seller of a low-quality product prefers setting a high price. Within the given framework, the relationship between product quality and advertising depends on the particular parameter constellation.
In the second model, some consumers are assumed to interpret price as a signal of quality, while others rely on information provided by product reviews. Consequently, and differently from the first part, pricing may indirectly inform consumers about product quality. On the one hand, in spite of asymmetric information on product quality, equilibria exist that feature full information pricing, which is in line with previous results presented by the signaling literature. On the other hand, potentially misleading product reviews may rationalize further pricing patterns. Moreover, assuming that firms can manipulate product reviews by investing in concealed marketing, equilibria can arise in which a high price signals low product quality. However, in these extreme cases, only a few (credulous) consumers consider buying the product.
The second essay deals with trade platforms whose operators not only allow sellers to offer their products to consumers, but also offer products themselves. In this context, the platform operator faces a hold-up problem if he sets classical two-part tariffs (on which previous literature on two-sided markets focussed) as potential competition between the platform operator and sellers reduces platform attractiveness. Since some sellers refuse to join the platform, products whose existence is not known to the platform operator in the first place and which can only be established by better informed sellers may not be offered at all. However, revenue-based fees lower the platform operator's incentives to compete with sellers, increasing platform attractiveness. Therefore, charging such proportional fees can be profitable, what may explain why several trade platforms indeed do charge proportional fees.
The third essay examines settings in which sellers can be active both on an intermediary's trade platform and in other sales channels. It explores the sellers' incentives to set different prices across sales channels within the given setup. Afterwards, it analyzes the intermediary's tariff decision, taking into account the implications on consumers' choice between different sales channels. The analysis particularly focusses on the effects of a no-discrimination rule which several intermediaries impose, but which appears to be controversial from a competition policy view. It identifies under which circumstances the intermediary prefers restricting sellers' pricing decisions by imposing a no-discrimination rule, attaining direct control over the split-up of customers on sales channels. Moreover, it illustrates that such rules can have both positive and negative effects on welfare within the given framework.
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 this thesis was the application of the functional prepolymer NCO-sP(EO-stat-PO) for the development of new biomaterials. First, the influence of the star-shaped polymers on the mechanical properties of biocements and bone adhesives was investigated. 3-armed star-shaped macromers were used as an additive for a mineral bone cement, and the influence on the mechanical properties was studied. Additionally, a previously developed bone adhesive was examined regarding cytocompatibility. The second topic was the examination of novel functionalization steps which were performed on the surface of electrospun fibers modified with NCO-sP(EO-stat-PO). This established method of functionalizing electrospun meshes was advanced regarding the modification with proteins which was then demonstrated in a biological application. Two different kinds of antibodies were immobilized on the fiber surface in a consecutive manner and the influence of these proteins on the cell behavior was investigated. The final topic involved the quantification of surface-bound peptide sequences. By functionalization of the peptides with the UV-reactive molecule 2-mercaptopyridine it was possible to quantify this compound via UV measurements by cleavage of disulfide bridges and indirectly draw conclusions about the number of immobilized peptides.
In the field of mineral biocements and bone adhesives, NCO-sP(EO-stat-PO) was able to influence the setting behavior and mechanical performance of mineral bone cements based on calcium phosphate chemistry. The addition of NCO-sP(EO-stat-PO) resulted in a pseudo-ductile fracture behavior due to the formation of a hydrogel network in the cement, which was then mineralized by nanosized hydroxyapatite crystals following cement setting. Accordingly, a commercially available aluminum silicate cement from civil engineering could be modified.
In addition, it could be shown that the use of NCO-sP(EO-stat-PO) is beneficial for adjusting specific material properties of bone adhesives. Here, the crosslinking behavior of the prepolymer in an aqueous medium was exploited to form an interpenetrating network (IPN) together with a photochemically curing poly(ethylene glycol) dimethacrylate (PEGDMA) matrix. This could be used for the development of a bone adhesive with an improved adhesion to bone in a wet environment. The developed bone adhesive was further investigated in terms of possible influences of the initiator systems. In addition, the material system was tested for cytocompatibility by using different cell lines.
Moreover, the preparation of electrospun fiber meshes via solution electrospinning consisting of poly(lactide-co-glycolide) (PLGA) as a backbone polymer and NCO-sP(EO-stat-PO) as functional additive is an established method for the application of the meshes as a replacement of the native extracellular matrix (ECM). In general, these fibers reveal diameters in the nanometer range, are protein and cell repellent due to the hydrophilic properties of the prepolymer and show a specific biofunctionalization by immobilization of peptide sequences. Here, the isocyanate groups presented on the fiber surface after electrospinning were used to carry out various functionalization steps, while retaining the properties of protein and cell repellency. The modification of the electrospun fibers involved the immobilization of analogs or antagonists of tumor necrosis factor (TNF) and the indirect detection of these by interaction with a light-producing enzyme. Here, a multimodal modification of the fiber surface with RGD to mediate cell adhesion and two different antibodies could be achieved. After culturing the cell line HT1080, the pro- or anti-inflammatory response of cells could be detected by IL-8 specific ELISA measurements.
Furthermore, the quantification of molecules on the surface of electrospun fibers was investigated. It was tested whether the detection by means of super-resolution microscopy would be possible. Therefore, experiments were performed with short amino acid sequences such as RGD for quantification by fluorescence microscopy. Based on earlier results, in which a UV-spectrometrically active molecule was used to detect the quantification of RGD, it was shown that short peptides can also be quantified in a small scale on flat functional substrates (2D) such as NCO-sP(EO-stat-PO) hydrogel coatings, and modified electrospun fibers produced from PLGA and NCO-sP(EO-stat-PO) (3D). In addition, a collagen sequence was used to prove that a successful quantification can be carried out as well for longer peptide chains.
These studies have revealed that NCO-sP(EO-stat-PO) can serve as a functional additive for many applications and should be considered for further studies on the development of novel biomaterials. The rapid crosslinking reaction, the resulting hydrogel formation and the biocompatibility are to be mentioned as positive properties, which makes the prepolymer interesting for future applications.
The first part of this thesis deals with the approximability of the traveling salesman problem. This problem is defined on a complete graph with edge weights, and the task is to find a Hamiltonian cycle of minimum weight that visits each vertex exactly once. We study the most important multiobjective variants of this problem. In the multiobjective case, the edge weights are vectors of natural numbers with one component for each objective, and since weight vectors are typically incomparable, the optimal Hamiltonian cycle does not exist. Instead we consider the Pareto set, which consists of those Hamiltonian cycles that are not dominated by some other, strictly better Hamiltonian cycles. The central goal in multiobjective optimization and in the first part of this thesis in particular is the approximation of such Pareto sets.
We first develop improved approximation algorithms for the two-objective metric traveling salesman problem on multigraphs and for related Hamiltonian path problems that are inspired by the single-objective Christofides' heuristic. We further show arguments indicating that our algorithms are difficult to improve. Furthermore we consider multiobjective maximization versions of the traveling salesman problem, where the task is to find Hamiltonian cycles with high weight in each objective. We generalize single-objective techniques to the multiobjective case, where we first compute a cycle cover with high weight and then remove an edge with low weight in each cycle. Since weight vectors are often incomparable, the choice of the edges of low weight is non-trivial. We develop a general lemma that solves this problem and enables us to generalize the single-objective maximization algorithms to the multiobjective case. We obtain improved, randomized approximation algorithms for the multiobjective maximization variants of the traveling salesman problem. We conclude the first part by developing deterministic algorithms for these problems.
The second part of this thesis deals with redundancy properties of complete sets. We call a set autoreducible if for every input instance x we can efficiently compute some y that is different from x but that has the same membership to the set. If the set can be split into two equivalent parts, then it is called weakly mitotic, and if the splitting is obtained by an efficiently decidable separator set, then it is called mitotic. For different reducibility notions and complexity classes, we analyze how redundant its complete sets are.
Previous research in this field concentrates on polynomial-time computable reducibility notions. The main contribution of this part of the thesis is a systematic study of the redundancy properties of complete sets for typical complexity classes and reducibility notions that are computable in logarithmic space. We use different techniques to show autoreducibility and mitoticity that depend on the size of the complexity class and the strength of the reducibility notion considered. For small complexity classes such as NL and P we use self-reducible, complete sets to show that all complete sets are autoreducible. For large complexity classes such as PSPACE and EXP we apply diagonalization methods to show that all complete sets are even mitotic. For intermediate complexity classes such as NP and the remaining levels of the polynomial-time hierarchy we establish autoreducibility of complete sets by locally checking computational transcripts. In many cases we can show autoreducibility of complete sets, while mitoticity is not known to hold. We conclude the second part by showing that in some cases, autoreducibility of complete sets at least implies weak mitoticity.
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.
As a cradle of ancient Chinese civilization, the Yellow River Basin has a very long human-environment interrelationship, where early anthropogenic activities re- sulted in large scale landscape modifications. Today, the impact of this relationship
has intensified further as the basin plays a vital role for China’s continued economic
development. It is one of the most densely-populated, fastest growing, and most dynamic
regions of China with abundant natural and environmental resources providing a livelihood for almost 190 million people. Triggered by fundamental economic reforms, the
basin has witnessed a spectacular economic boom during the last decades and can be
considered as an exemplary blueprint region for contemporary dynamic Global Change
processes occurring throughout the country, which is currently transitioning from an
agrarian-dominated economy into a modern urbanized society. However, this resourcesdemanding growth has led to profound land use changes with adverse effects on the Yellow
River social-ecological systems, where complex challenges arise threatening a long-term
sustainable development.
Consistent and continuous remote sensing-based monitoring of recent and past land
cover and land use change is a fundamental requirement to mitigate the adverse impacts
of Global Change processes. Nowadays, technical advancement and the multitude of
available satellite sensors, in combination with the opening of data archives, allow the
creation of new research perspectives in regional land cover applications over heterogeneous landscapes at large spatial scales. Despite the urgent need to better understand the
prevailing dynamics and underlying factors influencing the current processes, detailed
regional specific land cover data and change information are surprisingly absent for this
region.
In view of the noted research gaps and contemporary developments, three major objectives are defined in this thesis. First (i), the current and most pressing social-ecological
challenges are elaborated and policy and management instruments towards more sustainability are discussed. Second (ii), this thesis provides new and improved insights on
the current land cover state and dynamics of the entire Yellow River Basin. Finally (iii),
the most dominant processes related to mining, agriculture, forest, and urban dynamics
are determined on finer spatial and temporal scales.
The complex and manifold problems and challenges that result from long-term abuse
of the water and land resources in the basin have been underpinned by policy choices,
cultural attitude, and institutions that have evolved over centuries in China. The tremendous economic growth that has been mainly achieved by extracting water and exploiting
land resources in a rigorous, but unsustainable manner, might not only offset the economic benefits, but could also foster social unrest. Since the early emergence of the first Chinese dynasties, flooding was considered historically as a primary issue in river management and major achievements have been made to tame the wild nature of the Yellow
River. Whereas flooding is therefore largely now under control, new environmental and
social problems have evolved, including soil and water pollution, ecological degradation,
biodiversity decline, and food security, all being further aggravated by anthropogenic
climate change. To resolve the contemporary and complex challenges, many individual
environmental laws and regulations have been enacted by various Chinese ministries.
However, these policies often pursue different, often contradictory goals, are too general
to tackle specific problems and are usually implemented by a strong top-down approach.
Recently, more flexible economic and market-based incentives (pricing, tradable permits,
investments) have been successfully adopted, which are specifically tailored to the respective needs, shifting now away from the pure command and regulating instruments.
One way towards a more holistic and integrated river basin management could be the
establishment of a common platform (e.g. a Geographical Information System) for data
handling and sharing, possibly operated by the Yellow River Basin Conservancy Commission (YRCC), where available spatial data, statistical information and in-situ measures
are coalesced, on which sustainable decision-making could be based. So far, the collected
data is hardly accessible, fragmented, inconsistent, or outdated.
The first step to address the absence and lack of consistent and spatially up-to-date
information for the entire basin capturing the heterogeneous landscape conditions was
taken up in this thesis. Land cover characteristics and dynamics were derived from
the last decade for the years 2003 and 2013, based on optical medium-resolution hightemporal MODIS Normalized Differenced Vegetation Index (NDVI) time series at 250 m.
To minimize the inherent influence of atmospheric and geometric interferences found in
raw high temporal data, the applied adaptive Savitzky-Golay filter successfully smoothed
the time series and substantially reduced noise. Based on the smoothed time series
data, a large variety of intra-annual phenology metrics as well as spectral and multispectral annual statistics were derived, which served as input variables for random
forest (RF) classifiers. High quality reference data sets were derived from very high
resolution imagery for each year independently of which 70 % trained the RF models. The
accuracy assessments for all regionally specific defined thematic classes were based on the
remaining 30 % reference data split and yielded overall accuracies of 87 % and 84 % for
2003 and 2013, respectively. The first regional adapted Yellow River Land Cover Products
(YRB LC) depict the detail spatial extent and distribution of the current land cover status
and dynamics. The novel products overall differentiate overall 18 land cover and use
classes, including classes of natural vegetation (terrestrial and aquatic), cultivated classes,
mosaic classes, non-vegetated, and artificial classes, which are not presented in previous
land cover studies so far.
Building on this, an extended multi-faceted land cover analysis on the most prominent
land cover change types at finer spatial and temporal scales provides a better and more
detailed picture of the Yellow River Basin dynamics. Precise spatio-temporal products
about mining, agriculture, forest, and urban areas were examined from long-trem Landsat
satellite time series monitored at annual scales to capture the rapid rate of change in four
selected focus regions. All archived Landsat images between 2000 and 2015 were used to
derive spatially continuous spectral-temporal, multi-spectral, and textural metrics. For
each thematic region and year RF models were built, trained and tested based on a stablepixels reference data set. The automated adaptive signature (AASG) algorithm identifies those pixels that did not change between the investigated time periods to generate a
mono-temporal reference stable-pixels data set to keep manual sampling requirements
to a minimum level. Derived results gained high accuracies ranging from 88 % to 98 %.
Throughout the basin, afforestation on the Central Loess Plateau and urban sprawl are
identified as most prominent drivers of land cover change, whereas agricultural land
remained stable, only showing local small-scale dynamics. Mining operations started in
2004 on the Qinghai-Tibet Plateau, which resulted in a substantial loss of pristine alpine
meadows and wetlands.
In this thesis, a novel and unique regional specific view of current and past land cover
characteristics in a complex and heterogeneous landscape was presented by using a
multi-source remote sensing approach. The delineated products hold great potential for
various model and management applications. They could serve as valuable components
for effective and sustainable land and water management to adapt and mitigate the
predicted consequences of Global Change processes.
Analysis of Drug Impurities by Means of Chromatographic Methods: Targeted and Untargeted Approaches
(2022)
The presented works aimed on the analysis of new impurities in APIs and medicinal products. Different subtypes of LC were coupled to suitable detection methods, i.e. UV and various MS techniques, depending on the chemical natures of the analytes and the analytical task.
Unexpected impurities in medicinal products and APIs caused several scandals in the past, concomitant with fatalities or severe side effects in human and veterinary patients. The detection of nitrosamines in sartans led to the discovery of nitrosamines in various other drugs, of which the antibiotic rifampicin was analyzed in this work. An examination of the synthesis of rifampicin revealed a high potential for the formation of 4-methyl-1-nitrosopiperazine (MeNP). An LC-MS/HRMS method suitable for the quantification of MeNP was applied in the analysis of drugs collected from Brazil, Comoros, India, Nepal, and Tanzania, where a single dose of rifampicin is used in the post-exposure prophylaxis of leprosy. All batches were contaminated with MeNP, ranging from 0.7-5.1 ppm. However, application of rifampicin containing up to 5 ppm MeNP was recommended by the regulatory authorities for the post-exposure prophylaxis of leprosy.
In the 1990s the aminoglycoside antibiotic gentamicin attracted attention after causing fatalities in the USA, but the causative agent was never identified unequivocally. The related substance sisomicin was recognized as a lead impurity by the Holzgrabe lab at the University of Würzburg: sisomicin was accompanied by a variety of other impurities and batches containing sisomicin had caused the fatalities. In 2016, anaphylactic reactions were reported after application of gentamicin. A contamination of the medicinal products with histamine, an impurity of the raw material fish peptone used upon the production, could be identified as the cause of the adverse effects. Batches of gentamicin sulfate, which had been stored at the University of Würzburg since the earlier investigations, were analyzed regarding their contamination with histamine to determine whether the biogenic amine was responsible for the 1990s fatalities as well. Furthermore, a correlation with the lead impurity sisomicin was checked. Histamine could be detected in all analyzed batches, but at a lower level than in the batches responsible for the anaphylactic reactions. Moreover, there is no correlation of histamine with the lead impurity sisomicin. Hence, the causative agent for the 1990s fatalities was not histamine and remains unknown.
Another source of impurities is the reaction of APIs with excipients, e.g. the esterification of naproxen with PEG 600 in soft gel capsules. The influence of the formulation’s composition on this reaction was investigated by means of LC-UV. Therefore, the impurity naproxen-PEG-ester (NPEG) was synthesized and used for the development of a method suitable for the analysis of soft gel capsule formulations. Different formulations were stressed for 7 d at 60 °C and the relative amount of NPEG was determined. The formation of NPEG was influenced by the concentrations of water and lactic acid, the pH, and the drug load of the formulation, which can easily be explained by the chemistry behind esterification reactions.
Keeping in mind the huge variety of sources of impurities, it might be impossible to predict all potential impurities of a drug substance/product. Targeted and untargeted approaches were combined in the impurity profiling of bisoprolol fumarate. Eight versions of an LC-HRMS method were developed to enable the detection of a maximum number of impurities: an acidic and a basic buffered LC was coupled to MS detection applying ESI and APCI, both in positive in negative mode. MS and MS/MS data were acquired simultaneously by information dependent acquisition. In the targeted approach, potential impurities were derived from a reaction matrix based on the synthesis route of the API, while the untargeted part was based on general unknown comparative screening to identify additional signals. 18 and 17 impurities were detected in the targeted and the untargeted approach, respectively. The molecular formulae were assessed based on the exact mass and the isotope pattern. Theoretical fragment spectra generated by in silico fragmentation were matched with experimental data to estimate the plausibility of proposed/elucidated structures. Moreover, the detected impurities were quantified with respect to an internal standard.
The field of genetics faces a lot of challenges and opportunities in both research and diagnostics due to the rise of next generation sequencing (NGS), a technology that allows to sequence DNA increasingly fast and cheap.
NGS is not only used to analyze DNA, but also RNA, which is a very similar molecule also present in the cell, in both cases producing large amounts of data.
The big amount of data raises both infrastructure and usability problems, as powerful computing infrastructures are required and there are many manual steps in the data analysis which are complicated to execute.
Both of those problems limit the use of NGS in the clinic and research, by producing a bottleneck both computationally and in terms of manpower, as for many analyses geneticists lack the required computing skills.
Over the course of this thesis we investigated how computer science can help to improve this situation to reduce the complexity of this type of analysis.
We looked at how to make the analysis more accessible to increase the number of people that can perform OMICS data analysis (OMICS groups various genomics data-sources).
To approach this problem, we developed a graphical NGS data analysis pipeline aimed at a diagnostics environment while still being useful in research in close collaboration with the Human Genetics Department at the University of Würzburg.
The pipeline has been used in various research papers on covering subjects, including works with direct author participation in genomics, transcriptomics as well as epigenomics.
To further validate the graphical pipeline, a user survey was carried out which confirmed that it lowers the complexity of OMICS data analysis.
We also studied how the data analysis can be improved in terms of computing infrastructure by improving the performance of certain analysis steps.
We did this both in terms of speed improvements on a single computer (with notably variant calling being faster by up to 18 times), as well as with distributed computing to better use an existing infrastructure.
The improvements were integrated into the previously described graphical pipeline, which itself also was focused on low resource usage.
As a major contribution and to help with future development of parallel and distributed applications, for the usage in genetics or otherwise, we also looked at how to make it easier to develop such applications.
Based on the parallel object programming model (POP), we created a Java language extension called POP-Java, which allows for easy and transparent distribution of objects.
Through this development, we brought the POP model to the cloud, Hadoop clusters and present a new collaborative distributed computing model called FriendComputing.
The advances made in the different domains of this thesis have been published in various works specified in this document.
The extracellular matrix within connective tissues represents a structural scaffold as well as a barrier for motile cells, such as invading tumor cells or passenger leukocytes. It remains unclear how different cell types utilize matrix-degrading enzymes for proteolytic migration strategies and, on the other hand, non-proteolytic strategies to overcome 3D fibrillar matrix networks. To monitor cell migration, a 3D collagen model in vitro or the mouse dermis in vivo were used, in combination with time-lapse video-, confocal- or intravital multiphoton-microscopy, and computer-assisted cell tracking. Expression of proteases, including several MMPs, ADAMs, serine proteases and cathepsins, was shown by flow cytometry, Western blot, zymography, and RT-PCR. Protease activity by migrating HT-1080 fibrosarcoma cells resulting in collagenolysis in situ and generation of tube-like matrix defects was detected by three newly developed techniques:(i) quantitative FITC-release from FITC-labelled collagen, (ii) structural alteration of the pyhsical matrix structure (macroscopically and microscopically), and (iii) the visualization of focal in situ cleavage of individual collagen fibers. The results show that highly invasive ollagenolytic cells utilized a spindle-shaped "mesenchymal" migration strategy, which involved beta1 integrindependent interaction with fibers, coclustering of beta1 integrins and matrix metalloproteinases (MMPs) at fiber bundling sites, and the proteolytic generation of a tube-like matrix-defect by MMPs and additional proteases. In contrast to tumor cells, activated T cells migrated through the collagen fiber network by flexible "amoeboid" crawling including a roundish, elliptoid shape and morphological adaptation along collagen fibers, which was independent of collagenase function and fiber degradation. Abrogation of collagenolysis in tumor cells was achieved by a cocktail of broad-spectrum protease inhibitors at non-toxic conditions blocking collagenolysis by up to 95%. While in T cells protease inhibition induced neither morphodynamic changes nor reduced migration rates, in tumor cells a time-dependent conversion was obtained from proteolytic mesenchymal to non-proteolytic amoeboid migration in collagen lattices in vitro as well as the mouse dermis in vivo monitored by intravital microscopy. Tumor cells vigorously squeezed through matrix gaps and formed constriction rings in regions of narrow space, while the matrix structure remained intact. MMPs were excluded from fiber binding sites and beta1 integrin distribution was non-clustered linear. Besides for fibrosarcoma cells, this mesenchymal-toameboid transition (MAT) was confirmed for epithelial MDA-MB-231 breast carcinoma cells. In conclusion, cells of different origin exhibit significant diversity as well as plasticity of protease function in migration. In tumor cells, MAT could respresent a functionally important cellular and molecular escape pathway in tumor invasion and migration.
The classification of isoparametric hypersurfaces in spheres with a homogeneous focal manifold is a project that has been started by Linus Kramer. It extends results by E. Cartan and Hsiang and Lawson. Kramer does most part of this classification in his Habilitationsschrift. In particular he obtains a classification for the cases where the homogeneous focal manifold is at least 2-connected. Results of E. Cartan, Dorfmeister and Neher, and Takagi also solve parts of the classification problem. This thesis completes the classification. We classify all closed isoparametric hypersurfaces in spheres with g>2 distinct principal curvatures one of whose multiplicities is 2 such that the lower dimensional focal manifold is homogeneous. The methods are essentially the same as in Kramer's 'Habilitationsschrift'. The cohomology of the focal manifolds in question is known. This leads to two topological classification problems, which are also solved in this thesis. We classify simply connected homogeneous spaces of compact Lie groups with the same integral cohomology ring as a product of spheres S^2 x S^m and m odd on the one hand and a truncated polynomial ring Q[a]/(a^m) with one generator of even degree and m > 1 as its rational cohomology ring on the other hand.
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.
The control of quantum mechanical processes, especially the selective manipulation of photochemical reactions by shaped fs laser pulses was successfully demonstrated in many experiments in the fields of physics, chemistry and biology. In this work, attention is directed to the control of two systems that mark a bridge to real synthetic chemistry. In a liquid phase environment the outcome of the photo-induced Wolff rearrangement of an industrially relevant diazonaphthoquinone compound, normally used in photoresists (e.g. Novolak) was optimized using shaped fs laser pulses. In the second series of experiments chemical reactions on a catalyst metal surface which comprise laser induced molecular bond formation channels were selectively manipulated for the first time. The control of liquid phase reactions necessitates adequate spectroscopic signals that are characteristic for the formed product species. Therefore, a pump-probe setup for transient absorption spectroscopy in the mid-infrared for the purpose of investigating ultrafast structural changes of molecules during photoreactions was constructed. This versatile setup enables to monitor structural changes of molecules in the liquid phase and to find appropriate feedback signals for the control of these processes. Prior to quantum control experiments, the photoinduced Wolff-rearrangement reaction of 2-diazo-1-naphthoquinone (DNQ) dissolved in water and methanol was thoroughly investigated. Steady state absorption measurements in the mid-infrared in combination with quantum chemical density functional theory (DFT) calculations revealed the characteristic vibrational bands of DNQ and of possible products. A mid-infrared transient absorption study was performed, to illuminate the structural dynamics of the ultrafast rearrangement reaction of DNQ. The experimental observations indicate, that the Wolff rearrangement reaction of DNQ proceeds within 300 fs. A model for the relaxation dynamics of the ketene photoproduct and DNQ after photoexcitation can be deduced that fits the measured data very well. The object of the quantum control experiments on DNQ was the improvement of the ketene yield. It was shown that the ketene formation after Wolff rearrangement of DNQ is very sensitive to the shape of the applied excitation laser pulses. The variation of single parameters, like the linear chirp as well as the pulse separation of colored double pulses lead to the conclusion that the well known intrapulse dumping mechanism is responsible for the impact of the frequency ordering within the excitation pulse on the photoproduct yield. Adaptive optimizations using a closed learning loop basically lead to the same result. Adaptive fs quantum control was also applied to surface reactions on a catalyst metal surface for the first time. Therefore, the laser-induced catalytic reactions of carbon monoxide (CO) and hydrogen (H2) on a Pd(100) single crystal surface were studied. This photochemical reaction initiated with fs laser pulses has not been observed before. Several product molecules could be synthesized, among them also species (e.g. CH^3+) for whose formation three particles are involved. The systematic variation of different parameters showed that the reactions are sensitive to the catalyst surface, the composition of the adsorbate and to the laser properties. A pump-probe study revealed that they occur on an ultrafast time scale. These catalytic surface reactions were then investigated and improved with phaseshaped fs laser pulses. By applying a feedback optimal control scheme, the reaction outcome could be successfully manipulated and the ratio of different reaction channels could be selectively controlled. Evidence has been found that the underlying control mechanism is nontrivial and sensitive to the specific conditions on the surface. The experiments shown here represent the first successful experiment on adaptive fs quantum control of a chemical reaction between adsorbate molecules on a surface. In contrast to previous quantum control experiments, reaction channels comprising the formation of new molecular bonds rather than the cleavage of already existing bonds are controlled. This work successfully showed that quantum control can be extended to systems closer to situations encountered in synthetic chemistry as was demonstrated in the two examples of the optimization of a complicated rearrangement reaction and the selective formation of chemical bonds with shaped fs laser pulses.
XPD is a 5‘-3‘ helicase of the superfamily 2. As part of the transcription factor IIH it functions in transcription initiation and nucleotide excision repair. This work focus on the role of XPD in nucleotide excision repair. NER is a DNA repair pathway unique for its broad substrate range. In placental mammals NER is the only repair mechanism able to remove lesions induced by UV-light. NER can be divided into four different steps that are conserved between pro- and eukaryotes. Step 1 consists of the initial damage recognition, during step 2 the putative damage is verified, in step 3 the verified damage is excised and in the 4th and final step the resulting gap in the DNA is refilled. XPD was shown to be involved in the damage verification step. It was possible to solve the first apo XPD structure by a MAD approach using only the endogenous iron from the iron sulfur cluster. Based on the apo XPD structure several questions arise: where is DNA bound? Where is DNA separated? How is damage verification achieved? What is the role of the FeS cluster? These questions were addressed in this work. Hypothesis driven structure based functional mutagenesis was employed and combined with detailed biochemical characterization of the variants. The variants were analyzed by thermal unfolding studies to exclude the possibility that the overall stability could be affected by the point mutation. DNA binding assays, ATPase assays and helicase assays were performed to delineate amino acid residues important for DNA binding, helicase activity and damage recognition. A structure of XPD containing a four base pair DNA fragment was solved by molecular replacement. This structure displays the polarity of the translocated strand with respect to the helicase framework. Moreover the properties of the FeS cluster were studied by electron paramagnetic resonance to get insights into the role of the FeS cluster. Furthermore XPD from Ferroplasma acidarmanus was investigated since it was shown that it is stalled at CPD containing lesions. The data provide the first detailed insight into the translocation mechanism of a SF2B helicase and reveal how polarity is achieved. This provides a basis for further anlayses understanding the combined action of the helicase and the 4Fe4S cluster to accomplish damage verification within the NER cascade.
The recently discovered human DREAM complex (for DP, RB-like, E2F and MuvB complex) is a chromatin-associated pocket protein complex involved in cell cycle- dependent gene expression. DREAM consists of five core subunits and forms a complex either with the pocket protein p130 and the transcription factor E2F4 to repress gene expression or with the transcription factors B-MYB and FOXM1 to promote gene expression.
Gas2l3 was recently identified by our group as a novel DREAM target gene. Subsequent characterization in human cell lines revealed that GAS2L3 is a microtubule and F-actin cross-linking protein, expressed in G2/M, plays a role in cytokinesis, and is important for chromosomal stability.
The aim of the first part of the study was to analyze how expression of GAS2L3 is regulated by DREAM and to provide a better understanding of the function of GAS2L3 in mitosis and cytokinesis.
ChIP assays revealed that the repressive and the activating form of DREAM bind to the GAS2L3 promoter. RNA interference (RNAi) mediated GAS2L3 depletion demonstrated the requirement of GAS2L3 for proper cleavage furrow ingression in cytokinesis. Immunofluorescence-based localization studies showed a localization of GAS2L3 at the mitotic spindle in mitosis and at the midbody in cytokinesis. Additional experiments demonstrated that the GAS2L3 GAR domain, a putative microtubule- binding domain, is responsible for GAS2L3 localization to the constriction zones in cytokinesis suggesting a function for GAS2L3 in the abscission process.
DREAM is known to promote G2/M gene expression. DREAM target genes include several mitotic kinesins and mitotic microtubule-associated proteins (mitotic MAPs). However, it is not clear to what extent DREAM regulates mitotic kinesins and MAPs, so far. Furthermore, a comprehensive study of mitotic kinesin expression in cancer cell lines is still missing.
Therefore, the second major aim of the thesis was to characterize the regulation of mitotic kinesins and MAPs by DREAM, to investigate the expression of mitotic kinesins in cancer cell line panels and to evaluate them as possible anti-cancer targets.
ChIP assays together with RNAi mediated DREAM subunit depletion experiments demonstrated that DREAM is a master regulator of mitotic kinesins. Furthermore, expression analyses in a panel of breast and lung cancer cell lines revealed that mitotic kinesins are up-regulated in the majority of cancer cell lines in contrast to non-transformed controls. Finally, an inducible lentiviral-based shRNA system was developed to effectively deplete mitotic kinesins. Depletion of selected mitotic kinesins resulted in cytokinesis failures and strong anti-proliferative effects in several human cancer cell lines.
Thus, this system will provide a robust tool for future investigation of mitotic kinesin function in cancer cells.
Localization microscopy is a class of super-resolution fluorescence microscopy techniques. Localization microscopy methods are characterized by stochastic temporal isolation of fluorophore emission, i.e., making the fluorophores blink so rapidly that no two are
likely to be photoactive at the same time close to each other. Well-known localization microscopy methods include dSTORM}, STORM, PALM, FPALM, or GSDIM. The biological community has taken great interest in localization microscopy, since it can enhance the resolution of common fluorescence microscopy by an order of magnitude at little experimental cost.
However, localization microscopy has considerable computational cost since millions of individual stochastic emissions must be located with nanometer precision. The computational cost of this evaluation, and the organizational cost of implementing the complex algorithms, has impeded adoption of super-resolution microscopy for a long time.
In this work, I describe my algorithmic framework for evaluating localization microscopy data.
I demonstrate how my novel open-source software achieves real-time data evaluation, i.e., can evaluate data faster than the common experimental setups can capture them.
I show how this speed is attained on standard consumer-grade CPUs, removing the need for computing on expensive clusters or deploying graphics processing units.
The evaluation is performed with the widely accepted Gaussian PSF model and a Poissonian maximum-likelihood noise model.
I extend the computational model to show how robust, optimal two-color evaluation is realized, allowing correlative microscopy between multiple proteins or structures. By employing cubic B-splines, I show how the evaluation of three-dimensional samples can be made simple and robust, taking an important step towards precise imaging of micrometer-thick samples.
I uncover the behavior and limits of localization algorithms in the face of increasing emission densities.
Finally, I show up algorithms to extend localization microscopy to common biological problems.
I investigate cellular movement and motility by considering the in vitro movement of myosin-actin filaments. I show how SNAP-tag fusion proteins enable imaging with bright and stable organic fluorophores in live cells. By analyzing the internal structure of protein clusters, I show how localization microscopy can provide new quantitative approaches beyond pure imaging.
Implications of Advanced Glycation Endproducts in Oxidative Stress and Neurodegenerative Disorders
(2001)
The reactions of reducing sugars with primary amino groups are the most common nonenzymatic modifications of proteins. Subsequent rearrangements, oxidations, and dehydrations yield a heterogeneous group of mostly colored and fluorescent compounds, termed "Maillard products" or advanced glycation end products (AGEs). AGE formation has been observed on long-lived proteins such as collagen, eye lens crystalline, and in pathological protein deposits in Alzheimer's (AD) and Parkinson's disease (PD) and dialysis-related amyloidosis. AGE-modified proteins are also involved in the complications of diabetes. AGEs accumulate in the the ß-amyloid plaques and neurofibrillary tangles (NFT) associated with AD and in the Lewy bodies characteristic of PD. Increasing evidence supports a role for oxidative stress in neurodegenerative disorders such as AD and PD. AGEs have been shown to contribute towards oxidative damage and chronic inflammation, whereby activated microglia secrete cytokines and free radicals, including nitric oxide (NO). Roles proposed for NO in the pathophysiology of the central nervous system are increasingly diverse and range from intercellular signaling, through necrosis of cells and invading pathogens, to the involvement of NO in apoptosis. Using in vitro experiments, it was shown that AGE-modified bovine serum albumin (BSA-AGE) and AGE-modified ß-amyloid, but not their unmodified proteins, induce NO production in N-11 murine microglia cells. This was mediated by the receptor for AGEs (RAGE) and upregulation of the inducible nitric oxide synthase (iNOS). AGE-induced enzyme activation and NO production could be blocked by intracellular-acting antioxidants: Ginkgo biloba special extract EGb 761, the estrogen derivative, 17ß-estradiol, R-(+)-thioctic acid, and a nitrone-based free radical trap, N-tert.-butyl-*-phenylnitrone (PBN). Methylglyoxal (MG) and 3-deoxyglucosone (3-DG), common precursors in the Maillard reaction, were also tested for their ability to induce the production of NO in N-11 microglia. However, no significant changes in nitrite levels were detected in the cell culture medium. The significance of these findings was supported by in vivo immunostaining of AD brains. Single and double immunostaining of cryostat sections of normal aged and AD brains was performed with polyclonal antibodies to AGEs and iNOS and monoclonal antibodies to Aß and PHF-1 (marker for NFT) and reactive microglia. In aged normal individuals as well as early stage AD brains (i.e. no pathological findings in isocortical areas), a few astrocytes showed co-localisation of AGE and iNOS in the upper neuronal layers of the temporal (Area 22) and entorhinal (Area 28, 34) cortices compared with no astrocytes detected in young controls. In late AD brains, there was a much denser accumulation of astrocytes co-localised with AGE and iNOS in the deeper and particularly upper neuronal layers. Also, numerous neurons with diffuse AGE but not iNOS reactivity and some AGE and iNOS-positive microglia were demonstrated, compared with only a few AGE-reactive neurons and no microglia in controls. Finally, astrocytes co-localised with AGE and iNOS as well as AGE and ß-amyloid were found surrounding mature but not diffuse ß-amyloid plaques in the AD brain. Parts of NFT were AGE-immunoreactive. Immunohistochemical staining of cryostat sections of normal aged and PD brains was performed with polyclonal antibodies to AGEs. The sections were counterstained with monoclonal antibodies to neurofilament components and a-synuclein. AGEs and a-synuclein were colocalized in very early Lewy bodies in the substantia nigra of cases with incidental Lewy body disease. These results support an AGE-induced oxidative damage due to the action of free radicals, such as NO, occurring in the AD and PD brains. Furthermore, the involvement of astrocytes and microglia in this pathological process was confirmed immunohistochemically in the AD brain. It is suggested that oxidative stress and AGEs participate in the very early steps of Lewy body formation and resulting cell death in PD. Since the iNOS gene can be regulated by redox-sensitive transcription factors, the use of membrane permeable antioxidants could be a promising strategy for the treatment and prevention of chronic inflammation in neurodegenerative disorders.