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Protein-protein interactions play a crucial role in the development of drug delivery devices for the increasingly important biologicals, including antibodies, growth factors and cytokines. The understanding thereof might offer opportunities for tailoring carriers or drug proteins specifically for this purpose and thereby allow controlled delivery to a chosen target. The possible applications range from trigger-dependent release to sustained drug delivery and possibly permanently present stimuli, depending on the anticipated mechanism.
Silk fibroin (SF) is a biomaterial that is suitable as a carrier for protein drug delivery devices. It combines processability under mild conditions, good biocompatibility and stabilizing effects on incorporated proteins.
As SF is naturally produced by spiders and silkworms, the understanding of this process and its major factors might offer a blueprint for formulation scientists, interested in working with this biopolymer. The natural process of silk spinning covers a fascinating versatility of aggregate states, ranging from colloidal solutions through hydrogels to solid systems. The transition among these states is controlled by a carefully orchestrated process in vivo. Major players within the natural process include the control of spatial pH throughout passage of the silk dope, the composition and type of ions, and fluid flow mechanics within the duct, respectively. The function of these input parameters on the spinning process is reviewed before detailing their impact on the design and manufacture of silk based drug delivery systems (DDS). Examples are reported including the control of hydrogel formation during storage or significant parameters controlling precipitation in the presence of appropriate salts, respectively. The review details the use of silk fibroin to develop liquid, semiliquid or solid DDS with a focus on the control of SF crystallization, particle formation, and drug-SF interaction for tailored drug load.
Although we were able to show many examples for SF drug delivery applications and there are many publications about the loading of biologics to SF systems, the mechanism of interaction between both in solution was not yet extensively explored. This is why we made this the subject of our work, as it might allow for direct influence on pharmaceutical parameters, like aggregation and drug load.
In order to understand the underlying mechanism for the interaction between SF and positively charged model proteins, we used isothermal titration calorimetry for thermodynamic characterization. This was supported by hydrophobicity analysis and by colloidal characterization methods including static light scattering, nanoparticle tracking analysis and zeta potential measurements. We studied the effects of three Hofmeister salts – NaCl (neutral), NaSCN (chaotropic) and Na2SO4 (cosmotropic) – and the pH on the interaction of SF with the model proteins in dependence of the ratio from one to another. The salts impacted the SF structure by stabilizing (cosmotropic) or destabilizing (chaotropic) the SF micelles, resulting in completely abolished (cosmotropic) or strongly enhanced (chaotropic) interaction. These effects were responsible for different levels of loading and coacervation when varying type of salt and its concentration. Additionally, NaCl and NaSCN were able to prolong the stability of aqueous SF solution during storage at 25°C in a preliminary study.
Another approach to influence protein-protein interactions was followed by covalent modification. Interleukin-4 (IL-4) is a cytokine driving macrophages to M2 macrophages, which are known to provide anti-inflammatory effects. The possibility to regulate the polarization of macrophages to this state might be attractive for a variety of diseases, like atherosclerosis, in which macrophages are involved. As these cases demand a long-term treatment, this polarization was supposed to be maintained over time and we were planning to achieve this by keeping IL-4 permanently present in an immobilized way. In order to immobilize it, we genetically introduced an alkyne-carrying, artificial amino acid in the IL-4 sequence. This allowed access to a site-specific click reaction (Cu(I)-catalyzed Huisgen azide-alkyne cycloaddition) with an azide partner. This study was able to set the basis for the project by successful expression and purification of the IL-4 analogue and by proving the availability for the click reaction and maintained bioactivity. The other side of this project was the isolation of human monocytes and the polarization and characterization of human macrophages. The challenge here was that the majority of related research was based on murine macrophages which was not applicable to human cells and the successful work was so far limited to establishing the necessary methods.
In conclusion, we were able to show two different methods that allow the influence of protein-protein interactions and thereby the possible tailoring of drug loading. Although the results were very promising for both systems, their applicability in the development of drug delivery devices needs to be shown by further studies.
A series of combustion relevant species like radicals, carbenes and polycyclic aromatic hydrocarbons were characterized in the gas phase by vacuum UV synchrotron radiation and their ionization energies (IE) and further spectroscopic details of the respective cations were retrieved from threshold photoelectron spectra. The reactive intermediates were generated by flash vacuum pyrolysis from stable precursor molecules. Furthermore three polycyclic aromatic hydrocarbons were investigated by threshold photoelectron spectroscopy, too. The experiment was performed at the VUV beamline of the Swiss Light Source in Villigen/Switzerland and the iPEPICO (imaging photoelectron photoion coincidence) setup was applied to correlate ions and electrons from the same ionization event. From the threshold photoelectron spectra and from quantum chemical computations the vibrational structure of the molecule cations and the geometry changes upon ionization were assigned. The ionization energies of the two C4H5 isomers 2-butyn-1-yl and 1-butyn-3-yl were assigned to 7.94±0.02 eV and 7.97±0.02 eV, respectively. The isomerization between the two isomers was computed to have a barrier of 2.20 eV, so a rearrangement between the two radicals cannot be excluded. From the threshold photoelectron spectra of the two constitutional C4H7 isomers 1-methylallyl and 2-methylallyl the ionization energies were assigned to 7.48±0.02 eV and to 7.59±0.02 eV for 1-E-methylallyl and 1-Z-methylallyl, as well as to 7.88±0.01 eV for 2-methylallyl. The two radicals 9-fluorenyl, C13H9, and benzhydryl, C13H11, were observed to ionize at 7.01±0.02 eV and 6.7 eV. The threshold photoelectron spectrum of benzhydryl also incorporated the signal of the diphenylmethyl carbene, C13H10, which has an IE at 6.8 eV. In addition, the head-to-head dimers of 9-fluorenyl and benzhydryl were observed as products in the pyrolysis. C26H18 has an IE at 7.69±0.04 eV and C26H22 has an IE at 8.13±0.04 eV. The three polycyclic aromatic hydrocarbon DHP (C14H16) 1-PEN (C18H22) and THCT (C22H16) were investigated in an effusive beam. The ionization energies were determined to IE(DHP)= 7.38±0.02 eV, IE(1-PEN)=7.58±0.05 eV and IE(THCT)=6.40±0.02 eV. Furthermore the thermal decomposition and the dissociative photoionization of diazomeldrum’s acid was investigated. The pyrolysis products yielded beside several other products the two not yet (by photoelectron spectroscopy) characterized molecules E-formylketene, C3O2H2 and 2-diazoethenone, N2C2O. The dissociative photoionization showed the Wolff rearrangement to occur at higher internal energies.
Molecular and cellular cross talk between angiogenic, immune and DNA mismatch repair pathways
(2015)
VEGF is a main driver of tumor angiogenesis, playing an important role not only in the formation of new blood vessels, but also acts as a factor for cell migration, proliferation, survival and apoptosis. Angiogenesis is a universal function shared by most solid tumors and its inhibition was thought to have the potential to work across a broad patient population. Clinical evidence has shown that inhibiting pathological angiogenesis only works in a subset of patients and the identification of those patients is an important step towards personalized cancer care. The first approved antiangiogenic therapy was bevacizumab (Avastin®), a monoclonal antibody targeting VEGF in solid tumors including CRC, BC, NSCLC, RCC and others.
In addition to endothelial cells, VEGF receptors are present on a number of different cell types including tumor cells, monocytes and macrophages. The work presented in this thesis looked at the in vitro cellular changes in tumor cells and leukocytes in response to the inhibition of VEGF signaling with the use of bevacizumab. In the initial experiments, VEGF was induced by hypoxia in tumor cells to evaluate changes in survival, proliferation, migration and changes in gene or protein expression. There was a minimal direct response of VEGF inhibition in tumor cells that could be attributed to bevacizumab treatment, with minor variations in some of the cell lines screened but no uniform or specific response noted.
MMR deficiency often results in microsatellite instability (MSI) in tumors, as opposed to microsatellite stable (MSS) tumors, and accounts for up to 15% of colorectal carcinomas (CRCs). It has been suggested in clinical data that MMR deficient tumors responded better to bevacizumab regimens, therefore further research used isogenic paired CRC tumor cell lines (MMR deficient and proficient). Furthermore, a DNA damaging agent was added to the treatment regimen, the topoisomerase inhibitor SN-38 (the active metabolite of irinotecan). Inhibiting VEGF using bevacizumab significantly inhibited the ability of MMR deficient tumor cells to form anchor dependent colonies, however conversely, bevacizumab treatment before damaging cells with SN-38, showed a significant increase in colony numbers. Moreover, VEGF inhibition by bevacizumab pretreatment also significantly increased the mutation fraction in MMR deficient cells as measured by transiently transfecting a dinucleotide repeat construct, suggesting VEGF signaling may have an intrinsic role in MMR deficient cells. A number of pathways were analyzed in addition to changes in gene expression profiles resulting in the identification of JNK as a possible VEGF targeted pathway. JUN expression was also reduced in these conditions reinforcing this hypothesis, however the intricate molecular mechanisms remain to be elucidated.
In order to remain focused on the clinical application of the findings, it was noted that some cytokines were differentially regulated by bevacizumab between MMR proficient and deficient cells. Treatment regimens employed in vitro attempted to mimic the clinical setting by inducing DNA damage, then allowing cells to recover with or without VEGF using bevacizumab treatment. Inflammatory cytokines, CCL7 and CCL8, were found to have higher expression in the MMR deficient cell line with bevacizumab after DNA damage, therefore the cross talk via tumor derived factors to myeloid cells was analyzed. Gene expression changes in monocytes induced by tumor conditioned media showed CCL18 to be a bevacizumab regulated gene by MMR deficient cells and less so in MMR proficient cells. CCL18 has been described as a prognostic marker in gastric, colorectal and ovarian cancers, however the significance is dependent on tumor type. CCL18 primarily exerts its function on the adaptive immune system to trigger a TH2 response in T cells, but is also described to increase non-specific phagocytosis. The results of this study did show an increase in the phagocytic activity of macrophages in the presence of bevacizumab that was significantly more apparent in MMR deficient cells. Furthermore, after DNA damage MMR deficient cells treated with bevacizumab released a cytokine mix that induced monocyte migration in a bevacizumab dependent manner, showing a functional response with the combination of MMR deficiency and bevacizumab. In summary, the work in this thesis has shown evidence of immune cell modulation that is specific to MMR deficient tumor cells that may translate into a marker for the administration of bevacizumab in a clinical setting.
VEGF ist ein zentraler Regulator der Tumor-Angiogenese, und spielt eine wichtige Rolle nicht nur in der Bildung von neuen Blutgefäßen, sondern ist auch für die Migration, Proliferation, das Überleben und Apoptose von Tumorzellen essentiell. Angiogenese ist eine der universellen Funktionen, welche das Wachstum der meisten soliden Tumoren charakterisiert. Eine der klassischen therapeutischen Ideen wurde auf der Basis entwickelt, dass die spezifische Hemmung der Angiogenese das Potenzial hat in einer breiten Patientenpopulation einen klinischen Effekt zu zeigen. Die klinische Erfahrung und Anwendung hat jedoch gezeigt, dass die Hemmung der pathologischen Angiogenese nur in einem Teil der Patienten einen therapeutischen Nutzen aufweist. Somit stellt die Identifikation derjenigen Patienten, welche von der anti-angiogenen Therapie profitieren, einen wichtiger Schritt zur personalisierten Krebsbehandlung dar. Die erste zugelassene antiangiogene Therapie war Bevacizumab (Avastin®), ein monoklonaler Antikörper gegen VEGF, welcher unter anderem in soliden Tumoren wie CRC, BC, nicht-kleinzelligem Lungenkrebs (NSCLC) und dem Nierenzellkarzinom angewandt wird.
VEGF-Rezeptoren befinden sich nicht nur auf Endothelzellen, sondern sind auch auf einer Anzahl von verschiedenen Zelltypen, einschließlich Tumorzellen, Monozyten und Makrophagen nachweisbar. Die in dieser Arbeit vorgestellten Ergebnisse befassen sich mit den zellulären Veränderungen an Tumorzellen und Leukozyten als Reaktion auf die Hemmung der VEGF-Signalkaskade durch Bevacizumab in-vitro. In den Initialen Experimenten wurde VEGF durch Hypoxie in Tumorzellen induziert und Veränderungen der Überlebensrate, der Proliferation, Migration als auch in der Gen- oder Protein-Expression gemessen. Es konnte eine minimale direkte Reaktion der VEGF-Hemmung auf Tumorzellen beobachtet werden, welche auf die Bevacizumab Behandlung zurückgeführt werden könnte. Es zeigten sich aber auch geringfügige Abweichungen in einigen der verwendeten Zellinien, die keine einheitliche Interpretation erlauben oder auf eine uniformelle Reaktion hinweisen würden.
Das phänotypische Korrelat einer „Mismatch“ Reparatur (MMR)-Defizienz ist die Mikrosatelliteninstabilität im Gegensatz zu mikrosatellitenstabilen Tumoren und findet sich bei bis zu 15% der kolorektalen Karzinomen (CRC) wieder. Klinischen Daten deuten daraufhin, dass Bevacizumab besser in MMR-defizienten Tumoren wirkt. Daher wurden die weiteren Untersuchungen in gepaarten MMR stabilen und MMR instabilen CRC-Tumorzelllinien (MMR defizient und kompetent) durchgeführt. Weiterhin wurde ein DNA-schädigendes Agens, SN-38, ein Topoisomerase-Inhibitor (der aktive Metabolit von Irinotecan) dem Behandlungsschema zugefügt. Es zeigte sich, dass die Hemmung von VEGF mittels Bevacizumab die Fähigkeit der MMR defizienten Tumorzellen Kolonien zu bilden signifikant inhibiert. Im Gegensatz dazu, hatte die Behandlung von Bevacizumab vor der Zugabe des DNA schädigenden Agens zu einer vermehrten Kolonienzahl geführt. Außerdem erhöhte die Vorbehandlung mit Bevacizumab deutlich die Mutationsrate in MMR-defizienten Zellen, was durch die transiente Transfektion eines Dinukleotid-Repeat-Konstrukts nachgewiesen werden konnte. Dies deutete darauf hin, dass VEGF eine intrinsische Rolle in der Signalkaskade des MMR-Systems haben könnte. Deshalb wurde eine Anzahl von Signalalkaskaden zusätzlich zu Veränderungen von Genexpressionsprofilen untersucht und JNK als mögliche Verbindungsstelle der beiden Signalkaskaden, VEGF und MMR, identifiziert. Diese Hypothese wurde zusätzlich unterstützt durch die Tatsache, dass die JUN Expression unter diesen experimentellen Bedingungen reduziert war. Die Aufklärung der komplexen molekularen Mechanismen der potentiellen Interaktion bleibt zukünftigen Untersuchungen vorbehalten.
In Hinblick auf die klinische Konsequenz der erhaltenen Ergebnisse war es auffällig, dass einige Zytokine durch Bevacizumab in den MMR defizienten Zellen im Gegensatz zu den MMR kompetenten Zellen unterschiedlich reguliert wurden. Die in-vitro verwendeten Behandlungsschemata waren den klinisch zur Anwendung kommenden Protokollen nachempfunden. Zuerst wurde ein DNA-Schaden gesetzt, und den Zellen ermöglicht, sich mit oder ohne Bevacizumab zu erholen. Es konnte gezeigt werden, dass die inflammatorischen Zytokine CCL7 und CCL8 eine höhere Expression in der MMR-defiziente Zelllinie in Kombination mit Bevacizumab aufweisen. Daher wurde ein möglicher Crosstalk zwischen von Tumorzellen sezernierten Faktoren und myeloischen Zellen weiter verfolgt. Veränderungen der Genexpression in Monozyten durch Tumorzell- konditionierte Medien zeigte CCL18 als ein Bevacizumab reguliertes Gen in MMR-defizienten Zellen, aber nicht in MMR kompetenten Zellen. CCL18 übt seine Funktion primär im adaptiven Immunsystems aus um eine TH2-Antwort in T-Zellen auszulösen Ausserdem wird eine Erhöhung der nicht-spezifische Phagozytose als weitere Funktion beschrieben. CCL18 wurde bereits als prognostischer Marker in Magen-, Dickdarm- und Eierstockkrebsarten beschrieben; die klinische Bedeutung ist jedoch abhängig von Tumortyp.
Die Ergebnisse dieser Arbeit zeigen, dass eine Erhöhung der phagozytischen Aktivität von Makrophagen in Gegenwart von Bevacizumab wesentlich deutlicher in MMR-defizienten Zellen ausgeprägt war. Weiterhin wurde gefunden, dass nach DNA-Schädigung in Bevacizumab behandelten MMR-defizienten Zellen Zytokine freigesetzt werden, welche eine Monozytenmigration in einer Bevacizumab-abhängigen Weise induzieren. Dies weist auf eine funktionelle Interaktion von MMR-Defizienz und Bevacizumab hin. Zusätzlich zeigen die Ergebnisse dieser Arbeit eine Immunzellmodulation, die spezifisch für Mismatch-Reparatur defiziente Tumorzellen ist und in der klinischen Praxis als Marker für die Verabreichung von Bevacizumab verwendet werden könnte.
This work brings forward successful implementations of ultrafast chirality-sensitive spectroscopic techniques by probing circular dichroism (CD) or optical rotation dispersion (ORD). Furthermore, also first steps towards chiral quantum control, i.e., the selective variation of the chiral properties of molecules with the help of coherent light, are presented.
In the case of CD probing, a setup capable of mirroring an arbitrary polarization state of an ultrashort laser pulse was developed. Hence, by passing a left-circularly polarized laser pulse through this setup a right-circularly polarized laser pulse is generated. These two pulse enantiomers can be utilized as probe pulses in a pump--probe CD experiment. Besides CD spectroscopy, it can be utilized for anisotropy or ellipsometry spectroscopy also. Within this thesis, the approach is used to elucidate the photochemistry of hemoglobin, the oxygen transporting protein in mammalian blood. The oxygen loss can be triggered with laser pulses as well, and the results of the time-resolved CD experiment suggest a cascade-like relaxation, probably through different spin states, of the metallo-porphyrins in hemoglobin.
The ORD probing was realized via the combination of common-path optical heterodyne interferometric polarimetry and accumulative femtosecond spectroscopy. Within this setup, on the one hand the applicability of this approach for ultrafast studies was demonstrated explicitly. On the other hand, the discrimination between an achiral and a racemic solution without prior spatial separation was realized. This was achieved by inducing an enantiomeric excess via polarized femtosecond laser pulses and following its evolution with the developed polarimeter. Hence, chiral selectivity was already achieved with this method which can be turned into chiral control if the polarized laser pulses are optimized to steer an enhancement of the enantiomeric excess.
Furthermore, within this thesis, theoretical prerequisites for anisotropy-free pump--probe experiments with arbitrary polarized laser pulses were derived. Due to the small magnitude of optical chirality-sensitve signals, these results are important for any pump--probe chiral spectroscopy, like the CD probing presented in this thesis. Moreover, since for chiral quantum control the variation of the molecular structure is necessary, the knowledge about rearrangement reactions triggered by photons is necessary. Hence, within this thesis the ultrafast Wolff rearrangement of an α-diazocarbonyl was investigated via ultrafast photofragment ion spectroscopy in the gas phase. Though the compound is not chiral, the knowledge about the exact reaction mechanism is beneficial for future studies of chiral compounds.
Within this thesis a new philosophy in monitoring spacecrafts is presented: the
unification of the various kinds of monitoring techniques used during the
different lifecylce phases of a spacecraft.
The challenging requirements being set for this monitoring framework are:
- "separation of concerns" as a design principle (dividing the steps of logging
from registered sources, sending to connected sinks and displaying of
information),
- usage during all mission phases,
- usage by all actors (EGSE engineers, groundstation operators, etc.),
- configurable at runtime, especially regarding the level of detail of logging
information, and
- very low resource consumption.
First a prototype of the monitoring framework was developed as a support library
for the real-time operating system
RODOS. This prototype was tested on dedicated hardware platforms relevant for
space, and also on a satellite demonstrator used for educational purposes.
As a second step, the results and lessons learned from the development and usage
of this prototype were transfered to a real space mission: the first satellite
of the DLR compact satellite series - a space based platform for DLR's own
research activities. Within this project, the software of the avionic subsystem
was supplemented by a powerful logging component, which enhances the traditional
housekeeping capabilities and offers extensive filtering and debugging
techniques for monitoring and FDIR needs. This logging component is the major
part of the flight version of the monitoring framework. It is completed by
counterparts running on the development computers and as well as the EGSE
hardware in the integration room, making it most valuable already in the
earliest stages of traditional spacecraft development.
Future plans in terms of adding support from the groundstation as well will lead
to a seamless integration of the monitoring framework not only into to the
spacecraft itself, but into the whole space system.
LIM and SH3 protein 1 (LASP1) is a nucleocytoplasmic scaffolding protein. LASP1 interacts with various cytoskeletal proteins via its domain structure and is known to participate in physiological processes of cells. In the present study, a detailed investigation of the expression pattern of LASP1 protein in normal skin, melanocytic nevi and melanoma was carried out and the melanocyte–specific function of LASP1 was analyzed. LASP1 protein was identified in stratum basale of skin epidermis and a very high level was detected in nevi, the benign tumor of melanocyte. In the highly proliferative basal cells, an additional distinct nuclear localization of the protein was noted. In different tumor entities, an elevated LASP1 expression and nuclear localization, correlated positively with malignancy and tumor grade. However, LASP1 level was determined to be very low in melanoma and even reduced in metastases. Melanoma is distinguished as the first tumor tested to date – that displayed an absence of elevated LASP1 expression. In addition no significant relation was observed between LASP1 protein expression and clinicopathological parameters in melanoma.
The epidermal melanin unit of skin comprises of melanocytes and keratinocytes. Melanocytes are specialized cells that synthesize the photo protective coloring pigment, melanin inside unique organelles called melanosomes. The presence of LASP1 in melanocytes is reported for the first time through this study and the existence was confirmed by immunoblotting analysis in cultured normal human epidermal melanocyte (NHEM) and in melanoma cell lines, along with the immunohistostaining imaging in normal skin and in melanocytic nevi. LASP1 depletion in MaMel2 cells revealed a moderate increase in the intracellular melanin level independently of de novo melanogenesis, pointing to a partial hindrance in melanin release. Immunofluorescence images of NHEM and MaMel2 cells visualized co-localization of LASP1 with dynamin and tyrosinase concomitant with melanosomes at the dendrite tips of the cells. Melanosome isolation experiments by sucrose density gradient centrifugation clearly demonstrated the presence of LASP1 and the melanosome specific markers tyrosinase and TRP1 in late stage melanosomes.
The study identified LASP1 and dynamin as novel binding partners in melanocytes and provides first evidence for the existence of LASP1 and dynamin (a protein well–known for its involvement in vesicle formation and budding) in melanosomes. Co-localization of LASP1 and dynamin along the dendrites and at the tips of the melanocytes indicates a potential participation of the two proteins in the membrane vesicle fission at the plasma membrane.
In summary, a possible involvement of LASP1 in the actin–dynamin mediated membrane fission and exocytosis of melanin laden melanosome vesicles into the extracellular matrix is suggested.
In the course of the growth of the Internet and due to increasing availability of data, over the last two decades, the field of network science has established itself as an own area of research. With quantitative scientists from computer science, mathematics, and physics working on datasets from biology, economics, sociology, political sciences, and many others, network science serves as a paradigm for interdisciplinary research.
One of the major goals in network science is to unravel the relationship between topological graph structure and a network’s function. As evidence suggests, systems from the same fields, i.e. with similar function, tend to exhibit similar structure. However, it is still vague whether a similar graph structure automatically implies likewise function. This dissertation aims at helping to bridge this gap, while particularly focusing on the role of triadic structures.
After a general introduction to the main concepts of network science, existing work devoted to the relevance of triadic substructures is reviewed. A major challenge in modeling triadic structure is the fact that not all three-node subgraphs can be specified independently
of each other, as pairs of nodes may participate in multiple of those triadic subgraphs.
In order to overcome this obstacle, we suggest a novel class of generative network models based on so called Steiner triple systems. The latter are partitions of a graph’s vertices into pair-disjoint triples (Steiner triples). Thus, the configurations on Steiner triples can be specified independently of each other without overdetermining the network’s link
structure.
Subsequently, we investigate the most basic realization of this new class of models. We call it the triadic random graph model (TRGM). The TRGM is parametrized by a probability distribution over all possible triadic subgraph patterns. In order to generate a network instantiation of the model, for all Steiner triples in the system, a pattern is drawn from the distribution and adjusted randomly on the Steiner triple. We calculate the degree distribution of the TRGM analytically and find it to be similar to a Poissonian distribution. Furthermore, it is shown that TRGMs possess non-trivial triadic structure. We discover inevitable correlations in the abundance of certain triadic subgraph
patterns which should be taken into account when attributing functional relevance to particular motifs – patterns which occur significantly more frequently than expected at random. Beyond, the strong impact of the probability distributions on the Steiner triples on the occurrence of triadic subgraphs over the whole network is demonstrated. This interdependence allows us to design ensembles of networks with predefined triadic substructure. Hence, TRGMs help to overcome the lack of generative models needed for assessing the relevance of triadic structure.
We further investigate whether motifs occur homogeneously or heterogeneously distributed over a graph. Therefore, we study triadic subgraph structures in each node’s neighborhood individually. In order to quantitatively measure structure from an individual node’s perspective, we introduce an algorithm for node-specific pattern mining for both directed unsigned, and undirected signed networks. Analyzing real-world datasets, we find that there are networks in which motifs are distributed highly heterogeneously, bound to the proximity of only very few nodes. Moreover, we observe indication for the potential sensitivity of biological systems to a targeted removal of these critical vertices. In addition, we study whole graphs with respect to the homogeneity and homophily of their node-specific triadic structure. The former describes the similarity of subgraph distributions in the neighborhoods of individual vertices. The latter quantifies whether connected vertices
are structurally more similar than non-connected ones. We discover these features to be characteristic for the networks’ origins. Moreover, clustering the vertices of graphs regarding their triadic structure, we investigate structural groups in the neural network of C. elegans, the international airport-connection network, and the global network of diplomatic sentiments between countries. For the latter we find evidence for the instability of triangles considered socially unbalanced according to sociological theories.
Finally, we utilize our TRGM to explore ensembles of networks with similar triadic substructure in terms of the evolution of dynamical processes acting on their nodes. Focusing on oscillators, coupled along the graphs’ edges, we observe that certain triad motifs impose a clear signature on the systems’ dynamics, even when embedded in a larger
network structure.
The ecosystem of the high northern latitudes is affected by the recently changing environmental conditions. The Arctic has undergone a significant climatic change over the last decades. The land coverage is changing and a phenological response to the warming is apparent. Remotely sensed data can assist the monitoring and quantification of these changes. The remote sensing of the Arctic was predominantly carried out by the usage of optical sensors but these encounter problems in the Arctic environment, e.g. the frequent cloud cover or the solar geometry. In contrast, the imaging of Synthetic Aperture Radar is not affected by the cloud cover and the acquisition of radar imagery is independent of the solar illumination. The objective of this work was to explore how polarimetric Synthetic Aperture Radar (PolSAR) data of TerraSAR-X, TanDEM-X, Radarsat-2 and ALOS PALSAR and interferometric-derived digital elevation model data of the TanDEM-X Mission can contribute to collect meaningful information on the actual state of the Arctic Environment. The study was conducted for Canadian sites of the Mackenzie Delta Region and Banks Island and in situ reference data were available for the assessment. The up-to-date analysis of the PolSAR data made the application of the Non-Local Means filtering and of the decomposition of co-polarized data necessary.
The Non-Local Means filter showed a high capability to preserve the image values, to keep the edges and to reduce the speckle. This supported not only the suitability for the interpretation but also for the classification. The classification accuracies of Non-Local Means filtered data were in average +10% higher compared to unfiltered images. The correlation of the co- and quad-polarized decomposition features was high for classes with distinct surface or double bounce scattering and a usage of the co-polarized data is beneficial for regions of natural land coverage and for low vegetation formations with little volume scattering. The evaluation further revealed that the X- and C-Band were most sensitive to the generalized land cover classes. It was found that the X-Band data were sensitive to low vegetation formations with low shrub density, the C-Band data were sensitive to the shrub density and the shrub dominated tundra. In contrast, the L-Band data were less sensitive to the land cover. Among the different dual-polarized data the HH/VV-polarized data were identified to be most meaningful for the characterization and classification, followed by the HH/HV-polarized and the VV/VH-polarized data. The quad-polarized data showed highest sensitivity to the land cover but differences to the co-polarized data were small. The accuracy assessment showed that spectral information was required for accurate land cover classification. The best results were obtained when spectral and radar information was combined. The benefit of including radar data in the classification was up to +15% accuracy and most significant for the classes wetland and sparse vegetated tundra. The best classifications were realized with quad-polarized C-Band and multispectral data and with co-polarized X-Band and multispectral data. The overall accuracy was up to 80% for unsupervised and up to 90% for supervised classifications. The results indicated that the shortwave co-polarized data show promise for the classification of tundra land cover since the polarimetric information is sensitive to low vegetation and the wetlands. Furthermore, co-polarized data provide a higher spatial resolution than the quad-polarized data.
The analysis of the intermediate digital elevation model data of the TanDEM-X showed a high potential for the characterization of the surface morphology. The basic and relative topographic features were shown to be of high relevance for the quantification of the surface morphology and an area-wide application is feasible. In addition, these data were of value for the classification and delineation of landforms. Such classifications will assist the delineation of geomorphological units and have potential to identify locations of actual and future morphologic activity.
The general map-labeling problem is as follows: given a set of geometric objects to be labeled, or features, in the plane, and for each feature a set of label positions, maximize the number of placed labels such that there is at most one label per feature and no two labels overlap. There are three types of features in a map: point, line, and area features. Unfortunately, one cannot expect to find efficient algorithms that solve the labeling problem optimally.
Interactive maps are digital maps that only show a small part of the entire map whereas the user can manipulate the shown part, the view, by continuously panning, zooming, rotating, and tilting (that is, changing the perspective between a top and a bird view). An example for the application of interactive maps is in navigational devices. Interactive maps are challenging in that the labeling must be updated whenever labels leave the view and, while zooming, the label size must be constant on the screen (which either makes space for further labels or makes labels overlap when zooming in or out, respectively). These updates must be computed in real time, that is, the computation must be so fast that the user does not notice that we spend time on the computation. Additionally, labels must not jump or flicker, that is, labels must not suddenly change their positions or, while zooming out, a vanished label must not appear again.
In this thesis, we present efficient algorithms that dynamically label point and line features in interactive maps. We try to label as many features as possible while we prohibit labels that overlap, jump, and flicker. We have implemented all our approaches and tested them on real-world data. We conclude that our algorithms are indeed real-time capable.
As organic semiconductors gain more importance for application, research into their properties has become necessary. This work investigated the exciton and charge transport properties of organic semiconducting crystals. Based on a hopping approach, protocols have been developed for the calculation of Charge mobilities and singlet exciton diffusion coefficients. The protocols do not require any input from experimental data except for the x-ray crystal structure, since all needed quantities can be taken from high-level quantum chemical calculations. Hence, they allow to predict the transport properties of yet unknown compounds for given packings, which is important for a rational design of new materials. Different thermally activated hopping models based on time-dependent perturbation theory were studied for the charge and exciton transport; i. e. the spectral overlap approach, the Marcus theory, and the Levich-Jortner theory. Their derivations were presented coherently in order to emphasize the different levels of approximations and their respective prerequisites. A short reference was made to the empirical Miller-Abrahams hopping rate. Rate equation approaches to calculate the stationary charge carrier mobilities and exciton diffusion coefficients have been developed, which are based on the master equation. The rate equation approach is faster and more efficient than the frequently used Monte Carlo method and, therefore, provides the possibility to study the anisotropy of the transport parameters and their three-dimensional representation in the crystal. The Marcus theory, originally derived for outer sphere electron transfer in solvents, had already been well established for charge transport in organic solids. It was shown that this theory fits even better for excitons than for charges compared with the experiment. The Levich-Jortner theory strongly overestimates the charge carrier mobilities and the results deviate even stronger from the experiment than those obtained with the Marcus theory. The latter contains larger approximations by treating all vibrational modes classically. The spectral overlap approach in combination with the developed rate equations leads to even quantitatively very good results for exciton diffusion lengths compared to experiment. This approach and the appendant rate equations have also been adapted to charge transport. The Einstein relation, which relates the diffusion coefficient with the mobility, is important for the rate equations, which have been developed here for transport in organic crystals. It has been argued that this relation does not hold in disordered organic materials. This was analyzed within the Framework of the Gaussian disorder model and the Miller-Abrahams hopping rate.