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- National Park "Bavarian Forest" (1)
The putative attachment protein G of pneumonia virus of mice (PVM), a member of the Pneumoviruses, is an important virulence factor with so far ambiguous function in a virus-cell as well as in virus-host context. The sequence of the corresponding G gene is characterized by significant heterogeneity between and even within strains, affecting the gene and possibly the protein structure. This accounts in particular for the PVM strain J3666 for which two differing G gene organizations have been described: a polymorphism in nucleotide 65 of the G gene results in the presence of an upstream open reading frame (uORF) that precedes the main ORF in frame (GJ366665A) or extension of the major G ORF for 18 codons (GJ366665U). Therefore, this study was designed to analyse the impact of the sequence variations in the respective G genes of PVM strains J3666 and the reference strain 15 on protein expression, replication and virulence.
First, the controversy regarding the consensus sequence of PVM J3666 was resolved. The analysis of 45 distinct cloned fragments showed that the strain separated into two distinct virus populations defined by the sequence and structure of the G gene. This division was further supported by nucleotide polymorphisms in the neighbouring M and SH genes. Sequential passage of this mixed strain in the cell line standardly used for propagation of virus stocks resulted in selection for the GJ366665A-containing population in one of two experiments pointing towards a moderate replicative advantage. The replacement of the G gene of the recombinant PVM 15 with GJ366665A or GJ366665U, respectively, using a reverse genetic approach indicated that the presence of uORF within the GJ366665A significantly reduced the expression of the main G ORF on translational level while the potential extension of the ORF in GJ366665U increased G protein expression. In comparison, the effect of the G gene-structure on virus replication was inconsistent and dependent on cell line and type. While the presence of uORF correlated with a replication advantage in the standardly used BHK-21 cells and primary murine embryonic fibroblasts, replication in the murine macrophage cell line RAW 264.7 did not. In comparison, the GJ366665U variant was not associated with any effect on replication in cultured cells at all. Nonetheless, in-vivo analysis of the recombinant viruses associated the GJ366665U gene variant, and hence an increased G expression, with higher virulence whereas the GJ366665A gene, and therefore an impaired G expression, conferred an attenuated phenotype to the virus.
To extend the study to other G gene organizations, a recombinant PVM expressing a G protein without the cytoplasmic domain and for comparison a G-deletion mutant, both known to be attenuated in vivo, were studied. Not noticed before, this structure of the G gene was associated with a 75% reduction in G protein expression and a significant attenuation of replication in macrophage-like cells. This attenuation was even more prominent for the virus lacking G. Taking into consideration the higher reduction in G protein levels compared to the GJ366665A variant indicates that a threshold amount of G is required for efficient replication in these cells.
In conclusion, the results gathered indicated that the expression levels of the G protein were modulated by the sequence of the 5’ untranslated region of the gene. At the same time the G protein levels modulated the virulence of PVM.
Two-dimensional triangular lattices of group IV adatoms on semiconductor substrates provide a rich playground for the investigation of Mott-Hubbard physics. The possibility to combine various types of adatoms and substrates makes members of this material class versatile model systems to study the influence of correlation strength, band filling and spin-orbit coupling on the electronic structure - both experimentally and with dedicated many-body calculation techniques. The latter predict exotic ground states such as chiral superconductivity or spin liquid behavior for these frustrated lattices, however, experimental confirmation is still lacking. In this work, three different systems, namely the \(\alpha\)-phases of Sn/SiC(0001), Pb/Si(111), and potassium-doped Sn/Si(111) are investigated with scanning tunneling microscopy and photoemission spectroscopy in this regard. The results are potentially relevant for spintronic applications or quantum computing.
For the novel group IV triangular lattice Sn/SiC(0001), a combined experimental and theoretical study reveals that the system features surprisingly strong electronic correlations because they are boosted by the substrate through its partly ionic character and weak screening capabilities. Interestingly, the spectral function, measured for the first time via angle-resolved photoemission, does not show any additional superstructure beyond the intrinsic \(\sqrt{3} \times \sqrt{3} R30^{\circ}\) reconstruction, thereby raising curiosity regarding the ground-state spin pattern.
For Pb/Si(111), preceding studies have noted a phase transition of the surface reconstruction from \(\sqrt{3} \times \sqrt{3} R30^{\circ}\) to \(3 \times 3\) at 86 K. In this thesis, investigations of the low-temperature phase with high-resolution scanning tunneling microscopy and spectroscopy unveil the formation of a charge-ordered ground state. It is disentangled from a concomitant structural rearrangement which is found to be 2-up/1-down, in contrast to previous predictions. Applying an extended variational cluster approach, a phase diagram of local and nonlocal Coulomb interactions is mapped out. Based on a comparison of theoretical spectral functions with scattering vectors found via quasiparticle interference, Pb/Si(111) is placed in said phase diagram and electronic correlations are found to be the driving force of the charge-ordered state.
In order to realize a doped Mott insulator in a frustrated geometry, potassium was evaporated onto the well-known correlated Sn/Si(111) system. Instead of the expected insulator-to-metal transition, scanning tunneling spectroscopy data indicates that the electronic structure of Sn/Si(111) is only affected locally around potassium atoms while a metallization is suppressed. The potassium atoms were found to be adsorbed on empty \(T_4\) sites of the substrate which eventually leads to the formation of two types of K-Sn alloys with a relative potassium content of 1/3 and 1/2, respectively. Complementary measurements of the spectral function via angle-resolved photoemission reveal that the lower Hubbard band of Sn/Si(111) gradually changes its shape upon potassium deposition. Once the tin and potassium portion on the surface are equal, this evolution is complete and the system can be described as a band insulator without the need to include Coulomb interactions.
The superfamily of G protein-coupled receptors (GPCRs) comprises more than 800 members, which are divided into five families based on phylogenetic analyses (GRAFS classification): Glutamate, Rhodopsin, Adhesion, Frizzled/Taste2 and Secretin. The adhesion G protein-coupled receptor (aGPCR) family forms with 33 homologs in Mammalia the second largest and least investigated family of GPCRs. The general architecture of an aGPCR comprises the GPCR characteristics of an extracellular region (ECR), a seven transmembrane (7TM) domain and an intracellular region (ICR). A special feature of aGPCRs is the extraordinary size of the ECR through which they interact with cellular and matricellular ligands via adhesion motif folds. In addition, the ECR contains a so-called GPCR autoproteolysis-inducing (GAIN) domain, which catalyzes autoproteolytic cleavage of the protein during maturation. This cleavage leads to the formation of an N-terminal (NTF) and a C-terminal fragment (CTF), which build a unit by means of hydrophobic interactions and therefore appear as a heterodimeric receptor at the cell surface. In the past, it has been shown that the first few amino acids of the CTF act as a tethered agonist (TA) that mediates the activation of the receptor through the interaction with the 7TM domain. However, the molecular mechanism promoting the TA-7TM domain interaction remains elusive. This work reveals a novel molecular mechanism that does not require the dissociation of the NTF-CTF complex to promote release of the TA and thus activation of the aGPCR. The introduction of bioorthogonal labels into receptorsignaling- relevant regions of the TA of various aGPCRs demonstrated that the TA is freely accessible within the intact GAIN domain. This suggests a structural flexibility of the GAIN domain, which allows a receptor activation independent of the NTF-CTF dissociation, as found in cleavage-deficient aGPCR variants. Furthermore, the present study shows that the cellular localization and the conformation of the 7TM domain depends on the activity state of the aGPCR, which in turn indicates that the TA mediates conformational changes through the interaction with the 7TM domain, which ultimately regulates the receptor activity. In addition, biochemical analyses showed that the GAIN domain-mediated autoproteolysis of the human aGPCR CD97 (ADGRE5/E5) promotes further cleavage events within the receptor. This suggests that aGPCRs undergo cleavage cascades, which are initialized by the autoproteolytic reaction of the GAIN domain. Thus, it can be assumed that aGPCRs are subject to additional proteolytic events. Finally, the constitutive internalization of the NTF and the CTF of E5 was demonstrated by various labeling methods. It was possible to label both fragments independently and to follow their subcellular location in vitro. In summary, these obtained results contribute to a better understanding about the molecular mechanisms of activity and signaling of aGPCRs.
Effects of dopamine on BDNF / TrkB mediated signaling and plasticity on cortico-striatal synapses
(2021)
Progressive loss of voluntary movement control is the central symptom of Parkinson's disease (PD). Even today, we are not yet able to cure PD. This is mainly due to a lack of understanding the mechanisms of movement control, network activity and plasticity in motor circuits, in particular between the cerebral cortex and the striatum. Brain-derived neurotrophic factor (BDNF) has emerged as one of the most important factors for the development and survival of neurons, as well as for synaptic plasticity. It is thus an important target for the development of new therapeutic strategies against neurodegenerative diseases. Together with its receptor, the Tropomyosin receptor kinase B (TrkB), it is critically involved in development and function of the striatum. Nevertheless, little is known about the localization of BDNF within presynaptic terminals in the striatum, as well as the types of neurons that produce BDNF in the cerebral cortex. Furthermore, the influence of midbrain derived dopamine on the control of BDNF / TrkB interaction in striatal medium spiny neurons (MSNs) remains elusive so far. Dopamine, however, appears to play an important role, as its absence leads to drastic changes in striatal synaptic plasticity. This suggests that dopamine could regulate synaptic activity in the striatum via modulation of BDNF / TrkB function. To answer these questions, we have developed a sensitive and reliable protocol for the immunohistochemical detection of endogenous BDNF. We find that the majority of striatal BDNF is provided by glutamatergic, cortex derived afferents and not dopaminergic inputs from the midbrain. In fact, we found BDNF in cell bodies of neurons in layers II-III and V of the primary and secondary motor cortex as well as layer V of the somatosensory cortex. These are the brain areas that send dense projections to the dorsolateral striatum for control of voluntary movement. Furthermore, we could show that these projection neurons significantly downregulate the expression of BDNF during the juvenile development of mice between 3 and 12 weeks.
In parallel, we found a modulatory effect of dopamine on the translocation of TrkB to the cell surface in postsynaptic striatal Medium Spiny Neurons (MSNs). In MSNs of the direct pathway (dMSNs), which express dopamine receptor 1 (DRD1), we observed the formation of TrkB aggregates in the 6-hydroxydopamine (6-OHDA) model of PD. This suggests that DRD1 activity controls TrkB surface expression in these neurons. In contrast, we found that DRD2 activation has opposite effects in MSNs of the indirect pathway (iMSNs). Activation of DRD2 promotes a rapid decrease in TrkB surface expression which was reversible and depended on cAMP. In parallel, stimulation of DRD2 led to induction of phospho-TrkB (pTrkB). This effect was significantly slower than the effect on TrkB surface expression and indicates that TrkB is transactivated by DRD2. Together, our data provide evidence that dopamine triggers dual modes of plasticity on striatal MSNs by acting on TrkB surface expression in DRD1 and DRD2 expressing MSNs. This surface expression of the receptor is crucial for the binding of BDNF, which is released from corticostriatal afferents. This leads to the induction of TrkB-mediated downstream signal transduction cascades and long-term potentiation (LTP). Therefore, the dopamine-mediated translocation of TrkB could be a mediator that modulates the balance between dopaminergic and glutamatergic signaling to allow synaptic plasticity in a spatiotemporal manner. This information and the fact that TrkB is segregated to persistent aggregates in PD could help to improve our understanding of voluntary movement control and to develop new therapeutic strategies beyond those focusing on dopaminergic supply.
Cyclic adenosine monophosphate (cAMP), the ubiquitous second messenger produced upon stimulation of GPCRs which couple to the stimulatory GS protein, orchestrates an array of physiological processes including cardiac function, neuronal plasticity, immune responses, cellular proliferation and apoptosis. By interacting with various effector proteins, among others protein kinase A (PKA) and exchange proteins directly activated by cAMP (Epac), it triggers signaling cascades for the cellular response. Although the functional outcomes of GSPCR-activation are very diverse depending on the extracellular stimulus, they are all mediated exclusively by this single second messenger. Thus, the question arises how specificity in such responses may be attained. A hypothesis to explain signaling specificity is that cellular signaling architecture, and thus precise operation of cAMP in space and time would appear to be essential to achieve signaling specificity. Compartments with elevated cAMP levels would allow specific signal relay from receptors to effectors within a micro- or nanometer range, setting the molecular basis for signaling specificity. Although the paradigm of signaling compartmentation gains continuous recognition and is thoroughly being investigated, the molecular composition of such compartments and how they are maintained remains to be elucidated. In addition, such compartments would require very restricted diffusion of cAMP, but all direct measurements have indicated that it can diffuse in cells almost freely.
In this work, we present the identification and characterize of a cAMP signaling compartment at a GSPCR. We created a Förster resonance energy transfer (FRET)-based receptor-sensor conjugate, allowing us to study cAMP dynamics in direct vicinity of the human glucagone-like peptide 1 receptor (hGLP1R). Additional targeting of analogous sensors to the plasma membrane and the cytosol enables assessment of cAMP dynamics in different subcellular regions. We compare both basal and stimulated cAMP levels and study cAMP crosstalk of different receptors. With the design of novel receptor nanorulers up to 60nm in length, which allow mapping cAMP levels in nanometer distance from the hGLP1R, we identify a cAMP nanodomain surrounding it. Further, we show that phosphodiesterases (PDEs), the only enzymes known to degrade cAMP, are decisive in constraining cAMP diffusion into the cytosol thereby maintaining a cAMP gradient. Following the discovery of this nanodomain, we sought to investigate whether downstream effectors such as PKA are present and active within the domain, additionally studying the role of A-kinase anchoring proteins (AKAPs) in targeting PKA to the receptor compartment. We demonstrate that GLP1-produced cAMP signals translate into local nanodomain-restricted PKA phosphorylation and determine that AKAP-tethering is essential for nanodomain PKA.
Taken together, our results provide evidence for the existence of a dynamic, receptor associated cAMP nanodomain and give prospect for which key proteins are likely to be involved in its formation. These conditions would allow cAMP to exert its function in a spatially and temporally restricted manner, setting the basis for a cell to achieve signaling specificity. Understanding the molecular mechanism of cAMP signaling would allow modulation and thus regulation of GPCR signaling, taking advantage of it for pharmacological treatment.
The human pathogen Chlamydia trachomatis is the main cause of sexually transmitted infections worldwide. The obligate intracellular bacteria are the causative agent of several diseases that reach from conjunctivitis causing trachoma and blindness as well as salpingitis and urethritis which can lead to infertility if left untreated.
In order to gain genetically engineered Chlamydia that inducible knock down specific gene expression, the CRISPRi system was established in C. trachomatis. In a proof of principle experiment it was shown that C. trachomatis pCRISPRi:gCdu1III target ChlaDUB1 expression and reduce the protein amount up to 50 %. Knock-down of the DUB did not influence protein levels of anti-apoptotic Mcl-1 and did not make cells susceptible for apoptosis. However, reduced dCas9 protein size, bacterial growth impairment and off target effects interfering with the GFP signal, form obstacles in CRISPRi system in Chlamydia. For routinely use of the CRISPRi method in C. trachomatis further investigation is needed.
Since the bacterial life cycle includes two morphological and functional distinct forms, it is essential for chlamydial spread to complete the development cycle and form infectious progeny. Therefore, Chlamydia has evolved strategies to evade the host immune system in order to stay undetected throughout the developmental cycle. The bacteria prevent host cell apoptosis via stabilization of anti-apoptotic proteins like Mcl-1, Survivin and HIF-1α and activate pro-survival pathways, inhibiting invasion of immune cells to the site of infection. The host cell itself can destroy intruders via cell specific defense systems that involve autophagy and recruitment of professional immune cells. In this thesis the role of the chlamydial deubiuqitinase ChlaDUB1 upon immune evasion was elucidated. With the mutant strain Ctr Tn-cdu1 that encodes for a truncated DUB due to transposon insertion, it was possible to identify ChlaDUB1 as a potent opponent of the autophagic system. Mutant inclusions were targeted by K48 and K63 chain ubiquitination. Subsequently the inclusion was recognized by autophagic receptors like p62, NBR1 and NDP52 that was reversed again by complementation with the active DUB. Xenophagy was promoted so far as LC3 positive phagosomes formed around the inclusion of Ctr Tn-cdu1, which did not fuse with the lysosome. The detected growth defect in human primary cells of Chlamydia missing the active DUB was not traced back to autophagy, but was due to impaired development and replication. It was possible to identify Ankib1, the E3 ligase, that ubiquitinates the chlamydial inclusion in a siRNA based screen. The activating enzyme Ube1 and the conjugating enzyme Ube2L3 are also essential in this process. Chlamydia have a reduced genome and depend on lipids and nutrients that are translocated from the host cell to the inclusion to proliferate. Recruitment of fragmented Golgi stacks to the inclusion surface was prevented when ChlaDUB1 was inactive, probably causing diminished bacterial growth. Additionally, the modification of the inclusion by Ankib1 and subsequent decoration by autophagic markers was not only present in human but also murine cells. Comparison of other Chlamydia strains and species revealed Ankib1 to be located at the proximity of the inclusion in C. trachomatis strains only but not in C. muridarum or C. pneumoniae, indicating that Ankib1 is specifically the E3 ligase of C. trachomatis. Moreover, the role of ChlaDUB1 in infected tissue was of interest, since ChlaDUB1 protein was also found in early EB stage and so might get in contact with invading immune cells after cell lysis. While bacteria spread and infect new host cells, Chlamydia can also infect immune cells. Infection of human neutrophils with Ctr Tn-cdu1 shows less bacterial survival and affirms the importance of the DUB for bacterial fitness in these cells.
Platelets are small anucleated cell fragments that originate from megakaryocytes (MKs), which are large cells located in the bone marrow (BM). MKs extend long cytoplasmic protrusions, a process which is called proplatelet formation, into the lumen of the sinusoidal vessels where platelets are sized by the bloodstream. During the process of platelet biogenesis, segments of the MK penetrate the endothelium and, through cytoskeletal remodeling inside the MK, proplatelet fragments are released. Rho GTPases, such as RhoA and RhoB, are critically involved in cytoskeletal rearrangements of both the actin and the tubulin cytoskeleton.
The first part of this thesis concentrated on the protein RhoB and its involvement in cytoskeletal organization in MKs and platelets. Single knockout (KO) mice lacking RhoB had a minor microthrombocytopenia, which means a smaller platelet size and reduced platelet number, accompanied by defects in the microtubule cytoskeleton in both MKs and platelets. In particular, tubulin organization and stability, which is regulated by posttranslational modifications of α-tubulin, were disturbed in RhoB-/- platelets. In contrast, RhoB-/- MKs produced abnormally shaped proplatelets but had unaltered posttranslational modifications of α-tubulin.
The second part focused on the influence of RhoA and RhoB on MK localization and platelet biogenesis in murine BM. Many intact RhoA-/- MKs are able to transmigrate through the endothelial layer and stay attached to the vessel wall, whereas only 1% of wildtype (wt) MKs are detectable in the intrasinusoidal space. Concomitant deficiency of RhoA and RhoB reverts this transmigration and results in macrothrombocytopenia, MK clusters around the vessel in the BM and defective MK development. The underlying mechanism that governs MKs to distinct localizations in the BM is poorly understood, thus this thesis suggests that this process may be dependent on RhoB protein levels, as RhoA deficiency is coincided with increased RhoB levels in MKs and platelets.
The third part of this thesis targeted the protein PDK1, a downstream effector of Rho GTPases, in regard to MK maturation and polarization throughout thrombopoiesis. MK- and platelet-specific KO in mice led to a significant macrothrombocytopenia, impaired actin cytoskeletal reorganization during MK spreading and proplatelet formation, with defective MK maturation. This was associated with decreased PAK activity and, subsequently, phosphorylation of its substrates LIMK and Cofilin. Together, the observations of this thesis highlight the importance of Rho GTPases and their downstream effectors on the regulation of the MK and platelet cytoskeleton.
Remote sensing time series is the collection or acquisition of remote sensing data in a
fixed equally spaced time period over a particular area or for the whole world. Near
daily high spatial resolution data is very much needed for remote sensing applications
such as agriculture monitoring, phenology change detection, environmental
monitoring and so on. Remote sensing applications can produce better and accurate
results if they are provided with dense and accurate time series of data. The current
remote sensing satellite architecture is still not capable of providing near daily
or daily high spatial resolution images to fulfill the needs of the above mentioned
remote sensing applications. Limitations in sensors, high development, operational
costs of satellites and presence of clouds blocking the area of observation are some
of the reasons that makes near daily or daily high spatial resolution optical remote
sensing data highly challenging to achieve. With developments in the optical sensor
systems and well planned remote sensing satellite constellations, this condition
can be improved but it comes at a cost. Even then the issue will not be completely
resolved and thus the growing need for high temporal and high spatial resolution
data cannot be fulfilled entirely. Because the data collection process relies on satellites
which are physical system, these can fail unpredictably due to various reasons
and cause a complete loss of observation for a given period of time making a gap
in the time series. Moreover, to observe the long term trend in phenology change
due to rapidly changing environmental conditions, the remote sensing data from
the present is not just sufficient, the data from the past is also important. A better
alternative solution for this issue can be the generation of remote sensing time series
by fusing data from multiple remote sensing satellite which has different spatial and
temporal resolutions. This approach will be effective and efficient. In this method
a high temporal low spatial resolution image from a satellite such as Sentinel-2 can
be fused with a low temporal and high spatial resolution image from a satellite such
as the Sentinel-3 to generate a synthetic high temporal high spatial resolution data.
Remote sensing time series generation by data fusion methods can be applied to
the satellite images captured currently as well as the images captured by the satellites
in the past. This will provide the much needed high temporal and high spatial
resolution images for remote sensing applications. This approach with its simplistic
nature is cost effective and provides the researchers the means to generate the
data needed for their application on their own from the limited source of data available
to them. An efficient data fusion approach in combination with a well planned
satellite constellation can offer a solution which will ensure near daily time series of
remote sensing data with out any gap. The aim of this research work is to develop
an efficient data fusion approaches to achieve dense remote sensing time series.
The use of human adipose-derived mesenchymal stem cells (ASCs) for cell-based therapeutic approaches, in terms of repair and regeneration of various tissues and organs, offers an alternative therapeutic tool in the field of regenerative medicine. The ability of ASCs to differentiate along mesenchymal lineages is not the only property that makes these cells particularly attractive for therapeutic purposes. Their promising functions in promoting angiogenesis, reducing inflammation as well as in functional tissue restoration are largely related to the trophic effects of a broad panel of secreted cytokines and growth factors. However, in cell-based approaches, the cell-loaded construct often is exposed to an ischemic microenvironment characterized by severe oxidative and nutritional stress after transplantation due to the initial lack of vascular connection, resulting in reduced cell viability and altered cell behaviour. Therefore, the effective use of ASCs in regenerative medicine first requires a comprehensive characterization of the cells in terms of their viability, differentiation capacity and especially their secretory capabilities under ischemia-mimicking conditions in order to better understand their beneficial role. Accordingly, in the first part of this work, ASCs were investigated under different ischemic conditions, in which cells were exposed to both glucose and oxygen deprivation, with respect to viability and secretory function. Using mRNA gene expression analysis, significantly higher expression of selected angiogenic, anti-apoptotic and immunomodulatory factors (IL-6, VEGF, STC-1) could be demonstrated under harsh ischemic conditions. These results were reflected at the protein expression level by a significantly increased secretion of these factors. For stanniocalcin-1 (STC-1), a factor not yet described in ASCs, a particularly high expression with significant secreted amounts of the protein could be demonstrated under harsh ischemic conditions. Thus, the first part of this work, in addition to the characterization of the viability, provided first insights into the secretory response of ASCs under ischemic conditions.
The response of ASCs to glucose deficiency in combination with severe hypoxia has been little explored to date. Thus, the focus of the second part of this work was on a more detailed investigation of the secretory response of ASCs under glucose and oxygen deprivation. For a more comprehensive analysis of the secretion profile, a cytokine antibody array was performed, which allowed the detection of a broad panel of secreted angiogenic factors
(IL-8, ANG), matrix-regulating proteins (TIMP-1, TIMP-2), chemokines (MCP-1/CCL2,
IP-10/CXCL 10) and other factors under ischemic conditions. To verify these results, selected factors were examined using ELISA. The analysis revealed that the secretion of individual factors (e.g., STC-1, VEGF) was significantly upregulated by the combination of glucose and oxygen deprivation compared to oxygen deprivation alone.
In order to investigate the impact of the secretome of ischemic ASCs on cell types involved in tissue regeneration, the effect of conditioned medium of ischemia-challenged ASCs on both endothelial cells and fibroblasts was investigated in subsequent experiments. Significantly increased viability and tube formation of endothelial cells as well as activated migration of fibroblasts by the secreted factors of ischemic ASCs could be demonstrated. A direct correlation of these effects to STC-1, which was significantly upregulated under ischemic conditions and has been described as a regulator of key cellular functions, could not be verified.
The particular secretory capacity of ASCs provides a valuable tool for cell-based therapies, such as cell-assisted lipotransfer (CAL), where by enriching fat grafts with isolated ASCs, a significantly improved survival rate of the transplanted construct is achieved with less resorption of the fat tissue as well as a reduction in adverse implications, such as fibrosis and cyst formation. In order to better understand the function of ASCs in CAL, an autologous transwell-based lipograft-ASC co-culture was established in the last part of this work, in which first investigations showed a markedly increased secretion of VEGF compared to lipografts without added ASCs. As the stability rate of the fat tissue and thus the success of CAL is presumably also dependent on the preparation of the tissue before transplantation, the conventional preparation method of fat tissue for vocal fold augmentation in laryngoplasty was additionally evaluated in vitro in a pilot experiment. By analyzing the viability and tissue structure of the clinically prepared injection material, a large number of dead cells and a clearly damaged tissue structure with necrotic areas could be demonstrated. In comparison, the preparation method of the fat tissue established in this work as small tissue fragments was able to provide a clearly intact, vital, and vascularized tissue structure. This type of adipose tissue preparation represents a promising alternative for clinical vocal fold augmentation.
In conclusion, the results of this work contribute to a comprehensive characterization of ASCs under ischemic conditions, such as those prevalent at the transplantation site or in tissue regeneration. The results obtained, especially on the secretory capacity of ASCs, provide new insights into how ASCs mediate regenerative effects in an ischemic milieu and why their use for therapeutic purposes is highly attractive and promising.
G-protein- coupled receptors (GPCRs) are the largest family of membrane confined receptors and they transduce ligand binding to downstream effects. Almost 40% of the drugs in the world target GPCRs due to their function, albeit knowing less about their activation. Understanding their dynamic behaviour in basal and activated state could prove key to drug development in the future. GPCRs are known to exhibit complex molecular mobility patterns. A plethora of studies have been and are being conducted to understand the mobility of GPCRs. Due to limitations of imaging and spectroscopic techniques commonly used, the relevant timescales are hard to access. The most commonly used techniques are electron paramagnetic resonance or double electronelectron resonance, nuclear magnetic resonance, time-resolved fluorescence, single particle tracking and fluorescence recovery after photobleaching. Among these techniques only fluorescence has the potential to probe live cells. In this thesis, I use different time-resolved fluorescence spectroscopic techniques to quantify diffusion dynamics / molecular mobility of β2-adrenergic receptor (β2-AR) in live cells. The thesis shows that β2-AR exhibits mobility over an exceptionally broad temporal range (nanosecond to second) that can be linked to its respective physiological scenario. I explain how β2-AR possesses surprisingly fast lateral mobility (~10 μm²/s) associated with vesicular transport in contrast to the prior reports of it originating from fluorophore photophysics and free fluorophores in the cytosol. In addition, β2-AR has rotational mobility (~100 μs) that makes it conform to the Saffman-Delbrück model of membrane diffusion unlike earlier studies. These contrasts are due to the limitations of the methodologies used. The limitations are overcome in this thesis by using different time-resolved fluorescence techniques of fluorescence correlation spectroscopy (FCS), time-resolved anisotropy (TRA) and polarisation resolved fullFCS (fullFCS). FCS is limited to microsecond to the second range and TRA is limited to the nanosecond range. fullFCS complements the two techniques by covering the blind spot of FCS and TRA in the microsecond range. Finally, I show how ligand stimulation causes a decrease in lateral mobility which could be a hint at cluster formation due to internalisation and how β2-AR possesses a basal oligomerisation that does not change on activation. Thus, through this thesis, I show how different complementary fluorescence techniques are necessary to overcome limitations of each technique and to thereby elucidate functional dynamics of GPCR activation and how it orchestrates downstream signalling.
As a non-destructive testing method, X-ray imaging has proved to be suitable for the examination of a variety of objects. The measurement principle is based on the attenuation of X-rays caused by these objects. This attenuation can be recorded as shades of intensity using X-ray detectors and thus contains information about the inner structure of the investigated object. Since X-rays are electromagnetic waves, they also experience a change of phase in addition to their attenuation while penetrating an object. In general, imaging methods based on this effect are referred to as phase contrast imaging techniques. In the laboratory, the two mainly used methods are the propagation based phase contrast or in-line phase contrast and the grating interferometry.
While in-line phase contrast - under certain conditions - shows edge enhancement at interfaces due to interference, phase contrast in the grating interferometry is only indirectly measurable by the use of several gratings. In addition to phase contrast, grating interferometry provides access to the so-called dark-field imaging contrast, which measures the scattering of X-rays caused by an object.
These two imaging techniques, together with a novel concept of laboratory X-ray sources, the liquid-metal-jet, form the main part of this work. Compared to conventional X-ray sources, the liquid-metal-jet source offers higher brightness. The term brightness is defined by the number of X-ray photons per second, emitting area (area of the X-ray spot) and solid angle at which they are emitted.
On the basis of this source, a high resolution in-line phase contrast setup was partially developed in the scope of this work. Several computed tomographies show the feasibility of in-line phase contrast and the improvement of image quality by applying phase retrieval algorithms.
Moreover, the determination of optimized sample positions for in-line phase contrast imaging is treated at which the edge enhancement is maximized. Based on primitive fiber objects, this optimization has proven to be a good approximation.
With its high brightness in combination with a high spatial coherence, the liquid-metal-jet source is also interesting for grating interferometry. The development of such a setup is also part of this work. The overall concept and the characterization of the setup is presented as well as the applicability and its limits for the investigation of various objects.
Due to the very unique concept of this grating interferometer it was possible to realize a modified interferometer system by using a single grating only. Its concept and results are also presented in this work.
Furthermore, a grating interferometer based on a microfocus X-ray tube was tested regarding its performance. Thereby, parameters like the anode material, acquisition geometry and gratings were altered in order to find the advantages and disadvantages of each configuration.
Expression of the MYC oncoprotein, which binds the DNA at promoters of most transcribed genes, is controlled by growth factors in non-tumor cells, thus stimulating cell growth and proliferation.
Here in this thesis, it is shown that MYC interacts with SPT5, a subunit of the RNA polymerase II (Pol II) elongation factor DSIF. MYC recruits SPT5 to promoters of genes and is required for its association with Pol II. The transfer of SPT5 is mediated by CDK7 activity on TFIIE, which evicts it from Pol II and allows SPT5 to bind Pol II.
MYC is required for fast and processive transcription elongation, consistent with known functions of SPT5 in yeast. In addition, MYC increases the directionality of promoters by stimulating sense transcription and by suppressing the synthesis of antisense transcripts.
The results presented in this thesis suggest that MYC globally controls the productive assembly of Pol II with general elongation factors to form processive elongation complexes in response to growth-factor stimulation of non-tumour cells. However, MYC is found to be overexpressed in many tumours, and is required for their development and progression.
In this thesis it was found that, unexpectedly, such overexpression of MYC does not further enhance transcription but rather brings about squelching of SPT5. This reduces the processivity of Pol II on selected set of genes that are known to be repressed by MYC, leading to a decrease in growth-suppressive gene transcription and uncontrolled tumour growth
Theoretical and numerical investigation of optimal control problems governed by kinetic models
(2021)
This thesis is devoted to the numerical and theoretical analysis of ensemble optimal control problems governed by kinetic models. The formulation and study of these problems have been put forward in recent years by R.W. Brockett with the motivation that ensemble control may provide a more general and robust control framework for dynamical systems. Following this formulation, a Liouville (or continuity) equation with an unbounded drift function is considered together with a class of cost functionals that include tracking of ensembles of trajectories of dynamical systems and different control costs. Specifically, $L^2$, $H^1$ and $L^1$ control costs are taken into account which leads to non--smooth optimization problems. For the theoretical investigation of the resulting optimal control problems, a well--posedness theory in weighted Sobolev spaces is presented for Liouville and related transport equations. Specifically, existence and uniqueness results for these equations and energy estimates in suitable norms are provided; in particular norms in weighted Sobolev spaces. Then, non--smooth optimal control problems governed by the Liouville equation are formulated with a control mechanism in the drift function. Further, box--constraints on the control are imposed. The control--to--state map is introduced, that associates to any control the unique solution of the corresponding Liouville equation. Important properties of this map are investigated, specifically, that it is well--defined, continuous and Frechet differentiable. Using the first two properties, the existence of solutions to the optimal control problems is shown. While proving the differentiability, a loss of regularity is encountered, that is natural to hyperbolic equations. This leads to the need of the investigation of the control--to--state map in the topology of weighted Sobolev spaces. Exploiting the Frechet differentiability, it is possible to characterize solutions to the optimal control problem as solutions to an optimality system. This system consists of the Liouville equation, its optimization adjoint in the form of a transport equation, and a gradient inequality. Numerical methodologies for solving Liouville and transport equations are presented that are based on a non--smooth Lagrange optimization framework. For this purpose, approximation and solution schemes for such equations are developed and analyzed. For the approximation of the Liouville model and its optimization adjoint, a combination of a Kurganov--Tadmor method, a Runge--Kutta scheme, and a Strang splitting method are discussed. Stability and second--order accuracy of these resulting schemes are proven in the discrete $L^1$ norm. In addition, conservation of mass and positivity preservation are confirmed for the solution method of the Liouville model. As numerical optimization strategy, an adapted Krylow--Newton method is applied. Since the control is considered to be an element of $H^1$ and to obey certain box--constraints, a method for calculating a $H^1$ projection is presented. Since the optimal control problem is non-smooth, a semi-smooth adaption of Newton's method is taken into account. Results of numerical experiments are presented that successfully validate the proposed deterministic framework. After the discussion of deterministic schemes, the linear space--homogeneous Keilson--Storer master equation is investigated. This equation was originally developed for the modelling of Brownian motion of particles immersed in a fluid and is a representative model of the class of linear Boltzmann equations. The well--posedness of the Keilson--Storer master equation is investigated and energy estimates in different topologies are derived. To solve this equation numerically, Monte Carlo methods are considered. Such methods take advantage of the kinetic formulation of the Liouville equation and directly implement the behaviour of the system of particles under consideration. This includes the probabilistic behaviour of the collisions between particles. Optimal control problems are formulated with an objective that is constituted of certain expected values in velocity space and the $L^2$ and $H^1$ costs of the control. The problems are governed by the Keilson--Storer master equation and the control mechanism is considered to be within the collision kernel. The objective of the optimal control of this model is to drive an ensemble of particles to acquire a desired mean velocity and to achieve a desired final velocity configuration. Existence of solutions of the optimal control problem is proven and a Keilson--Storer optimality system characterizing the solution of the proposed optimal control problem is obtained. The optimality system is used to construct a gradient--based optimization strategy in the framework of Monte--Carlo methods. This task requires to accommodate the resulting adjoint Keilson--Storer model in a form that is consistent with the kinetic formulation. For this reason, we derive an adjoint Keilson--Storer collision kernel and an additional source term. A similar approach is presented in the case of a linear space--inhomogeneous kinetic model with external forces and with Keilson--Storer collision term. In this framework, a control mechanism in the form of an external space--dependent force is investigated. The purpose of this control is to steer the multi--particle system to follow a desired mean velocity and position and to reach a desired final configuration in phase space. An optimal control problem using the formulation of ensemble controls is stated with an objective that is constituted of expected values in phase space and $H^1$ costs of the control. For solving the optimal control problems, a gradient--based computational strategy in the framework of Monte Carlo methods is developed. Part of this is the denoising of the distribution functions calculated by Monte Carlo algorithms using methods of the realm of partial differential equations. A standalone C++ code is presented that implements the developed non--linear conjugated gradient strategy. Results of numerical experiments confirm the ability of the designed probabilistic control framework to operate as desired. An outlook section about optimal control problems governed by non--linear space--inhomogeneous kinetic models completes this thesis.
These days, we are living in a digitalized world. Both our professional and private lives are pervaded by various IT services, which are typically operated using distributed computing systems (e.g., cloud environments). Due to the high level of digitalization, the operators of such systems are confronted with fast-paced and changing requirements. In particular, cloud environments have to cope with load fluctuations and respective rapid and unexpected changes in the computing resource demands. To face this challenge, so-called auto-scalers, such as the threshold-based mechanism in Amazon Web Services EC2, can be employed to enable elastic scaling of the computing resources. However, despite this opportunity, business-critical applications are still run with highly overprovisioned resources to guarantee a stable and reliable service operation. This strategy is pursued due to the lack of trust in auto-scalers and the concern that inaccurate or delayed adaptations may result in financial losses.
To adapt the resource capacity in time, the future resource demands must be "foreseen", as reacting to changes once they are observed introduces an inherent delay. In other words, accurate forecasting methods are required to adapt systems proactively. A powerful approach in this context is time series forecasting, which is also applied in many other domains. The core idea is to examine past values and predict how these values will evolve as time progresses. According to the "No-Free-Lunch Theorem", there is no algorithm that performs best for all scenarios. Therefore, selecting a suitable forecasting method for a given use case is a crucial task. Simply put, each method has its benefits and drawbacks, depending on the specific use case. The choice of the forecasting method is usually based on expert knowledge, which cannot be fully automated, or on trial-and-error. In both cases, this is expensive and prone to error.
Although auto-scaling and time series forecasting are established research fields, existing approaches cannot fully address the mentioned challenges: (i) In our survey on time series forecasting, we found that publications on time series forecasting typically consider only a small set of (mostly related) methods and evaluate their performance on a small number of time series with only a few error measures while providing no information on the execution time of the studied methods. Therefore, such articles cannot be used to guide the choice of an appropriate method for a particular use case; (ii) Existing open-source hybrid forecasting methods that take advantage of at least two methods to tackle the "No-Free-Lunch Theorem" are computationally intensive, poorly automated, designed for a particular data set, or they lack a predictable time-to-result. Methods exhibiting a high variance in the time-to-result cannot be applied for time-critical scenarios (e.g., auto-scaling), while methods tailored to a specific data set introduce restrictions on the possible use cases (e.g., forecasting only annual time series); (iii) Auto-scalers typically scale an application either proactively or reactively. Even though some hybrid auto-scalers exist, they lack sophisticated solutions to combine reactive and proactive scaling. For instance, resources are only released proactively while resource allocation is entirely done in a reactive manner (inherently delayed); (iv) The majority of existing mechanisms do not take the provider's pricing scheme into account while scaling an application in a public cloud environment, which often results in excessive charged costs. Even though some cost-aware auto-scalers have been proposed, they only consider the current resource demands, neglecting their development over time. For example, resources are often shut down prematurely, even though they might be required again soon.
To address the mentioned challenges and the shortcomings of existing work, this thesis presents three contributions: (i) The first contribution-a forecasting benchmark-addresses the problem of limited comparability between existing forecasting methods; (ii) The second contribution-Telescope-provides an automated hybrid time series forecasting method addressing the challenge posed by the "No-Free-Lunch Theorem"; (iii) The third contribution-Chamulteon-provides a novel hybrid auto-scaler for coordinated scaling of applications comprising multiple services, leveraging Telescope to forecast the workload intensity as a basis for proactive resource provisioning. In the following, the three contributions of the thesis are summarized:
Contribution I - Forecasting Benchmark
To establish a level playing field for evaluating the performance of forecasting methods in a broad setting, we propose a novel benchmark that automatically evaluates and ranks forecasting methods based on their performance in a diverse set of evaluation scenarios. The benchmark comprises four different use cases, each covering 100 heterogeneous time series taken from different domains. The data set was assembled from publicly available time series and was designed to exhibit much higher diversity than existing forecasting competitions. Besides proposing a new data set, we introduce two new measures that describe different aspects of a forecast. We applied the developed benchmark to evaluate Telescope.
Contribution II - Telescope
To provide a generic forecasting method, we introduce a novel machine learning-based forecasting approach that automatically retrieves relevant information from a given time series. More precisely, Telescope automatically extracts intrinsic time series features and then decomposes the time series into components, building a forecasting model for each of them. Each component is forecast by applying a different method and then the final forecast is assembled from the forecast components by employing a regression-based machine learning algorithm. In more than 1300 hours of experiments benchmarking 15 competing methods (including approaches from Uber and Facebook) on 400 time series, Telescope outperformed all methods, exhibiting the best forecast accuracy coupled with a low and reliable time-to-result. Compared to the competing methods that exhibited, on average, a forecast error (more precisely, the symmetric mean absolute forecast error) of 29%, Telescope exhibited an error of 20% while being 2556 times faster. In particular, the methods from Uber and Facebook exhibited an error of 48% and 36%, and were 7334 and 19 times slower than Telescope, respectively.
Contribution III - Chamulteon
To enable reliable auto-scaling, we present a hybrid auto-scaler that combines proactive and reactive techniques to scale distributed cloud applications comprising multiple services in a coordinated and cost-effective manner. More precisely, proactive adaptations are planned based on forecasts of Telescope, while reactive adaptations are triggered based on actual observations of the monitored load intensity. To solve occurring conflicts between reactive and proactive adaptations, a complex conflict resolution algorithm is implemented. Moreover, when deployed in public cloud environments, Chamulteon reviews adaptations with respect to the cloud provider's pricing scheme in order to minimize the charged costs. In more than 400 hours of experiments evaluating five competing auto-scaling mechanisms in scenarios covering five different workloads, four different applications, and three different cloud environments, Chamulteon exhibited the best auto-scaling performance and reliability while at the same time reducing the charged costs. The competing methods provided insufficient resources for (on average) 31% of the experimental time; in contrast, Chamulteon cut this time to 8% and the SLO (service level objective) violations from 18% to 6% while using up to 15% less resources and reducing the charged costs by up to 45%.
The contributions of this thesis can be seen as major milestones in the domain of time series forecasting and cloud resource management. (i) This thesis is the first to present a forecasting benchmark that covers a variety of different domains with a high diversity between the analyzed time series. Based on the provided data set and the automatic evaluation procedure, the proposed benchmark contributes to enhance the comparability of forecasting methods. The benchmarking results for different forecasting methods enable the selection of the most appropriate forecasting method for a given use case. (ii) Telescope provides the first generic and fully automated time series forecasting approach that delivers both accurate and reliable forecasts while making no assumptions about the analyzed time series. Hence, it eliminates the need for expensive, time-consuming, and error-prone procedures, such as trial-and-error searches or consulting an expert. This opens up new possibilities especially in time-critical scenarios, where Telescope can provide accurate forecasts with a short and reliable time-to-result.
Although Telescope was applied for this thesis in the field of cloud computing, there is absolutely no limitation regarding the applicability of Telescope in other domains, as demonstrated in the evaluation. Moreover, Telescope, which was made available on GitHub, is already used in a number of interdisciplinary data science projects, for instance, predictive maintenance in an Industry 4.0 context, heart failure prediction in medicine, or as a component of predictive models of beehive development. (iii) In the context of cloud resource management, Chamulteon is a major milestone for increasing the trust in cloud auto-scalers. The complex resolution algorithm enables reliable and accurate scaling behavior that reduces losses caused by excessive resource allocation or SLO violations. In other words, Chamulteon provides reliable online adaptations minimizing charged costs while at the same time maximizing user experience.
The Antarctic Ice Sheet stores ~91% of the global ice volume which is equivalent to a sea-level rise of 58.3 meters. Recent disintegration events of ice shelves and retreating glaciers along the Antarctic Peninsula and West Antarctica indicate the current vulnerable state of the Antarctic Ice Sheet. Glacier tongues and ice shelves create a safety band around Antarctica with buttressing effects on ice discharge. Current decreases in glacier and ice shelf extent reduce the effective buttressing forces and increase ice discharge of grounded ice. The consequence is a higher contribution to sea-level rise from the Antarctic Ice Sheet. So far, it is unresolved which proportion of Antarctic glacier retreat can be attributed to climate change and which part to the natural cycle of growth and decay in the lifetime of a glacier. The quantitative assessment of the magnitude, spatial extent, distribution, and dynamics of circum-Antarctic glacier and ice shelf retreat is of utmost importance to monitor Antarctica’s weakening safety band. In remote areas like Antarctica, earth observation provides optimal properties for large-scale mapping and monitoring of glaciers and ice shelves. Nowadays, the variety of available satellite sensors, technical advancements regarding spatial resolution and revisit times, as well as open satellite data archives create an ideal basis for monitoring calving front change. A systematic review conducted within this thesis revealed major gaps in the availability of glacier and ice shelf front position measurements despite the improved satellite data availability. The previously limited availability of satellite imagery and the time-consuming manual delineation of calving fronts did neither allow a circum-Antarctic assessment of glacier retreat nor the assessment of intra-annual changes in glacier front position. To advance the understanding of Antarctic glacier front change, this thesis presents a novel automated approach for calving front extraction and explores drivers of glacier retreat.
A comprehensive review of existing methods for glacier front extraction ascertained the lack of a fully automatic approach for large-scale monitoring of Antarctic calving fronts using radar imagery. Similar backscatter characteristics of different ice types, seasonally changing backscatter values, multi-year sea ice, and mélange made it challenging to implement an automated approach with traditional image processing techniques. Therefore, the present abundance of satellite data is best exploited by integrating recent developments in big data and artificial intelligence (AI) research to derive circum-Antarctic calving front dynamics. In the context of this thesis, the novel AI-based framework “AntarcticLINES” (Antarctic Glacier and Ice Shelf Front Time Series) was created which provides a fully automated processing chain for calving front extraction from Sentinel-1 imagery. Open access Sentinel-1 radar imagery is an ideal data source for monitoring current and future changes in the Antarctic coastline with revisit times of less than six days and all-weather imaging capabilities. The developed processing chain includes the pre-processing of dual-polarized Sentinel-1 imagery for machine learning applications. 38 Sentinel-1 scenes were used to train the deep learning architecture U-Net for image segmentation. The trained weights of the neural network can be used to segment Sentinel-1 scenes into land ice and ocean. Additional post-processing ensures even more accurate results by including morphological filtering before extracting the final coastline. A comprehensive accuracy assessment has proven the correct extraction of the coastline. On average, the automatically extracted coastline deviates by 2-3 pixels (93 m) from a manual delineation. This accuracy is in range with deviations between manually delineated coastlines from different experts.
For the first time, the fully automated framework AntarcticLINES enabled the extraction of intra-annual glacier front fluctuations to assess seasonal variations in calving front change. Thereby, for example, an increased calving frequency of Pine Island Glacier and a beginning disintegration of Glenzer Glacier were revealed. Besides, the extraction of the entire Antarctic coastline for 2018 highlighted the large-scale applicability of the developed approach. Accurate results for entire Antarctica were derived except for the Western Antarctic Peninsula where training imagery was not sufficient and should be included in future studies.
Furthermore, this dissertation presents an unprecedented record of circum-Antarctic calving front change over the last two decades. The newly extracted coastline for 2018 was compared to previous coastline products from 2009 and 1997. This revealed that the Antarctic Ice Sheet shrank 29,618±1193 km2 in extent between 1997-2008 and gained an area of 7,108±1029 km2 between 2009-2018. Glacier retreat concentrated along the Antarctic Peninsula and West Antarctica. The only East Antarctic coastal sector primarily experiencing calving front retreat was Wilkes Land in 2009-2018. Finally, potential drivers of circum-Antarctic glacier retreat were identified by combining data on glacier front change with changes in climate variables. It was found that strengthening westerlies, snowmelt, rising sea surface temperatures, and decreasing sea ice cover forced glacier retreat over the last two decades. Relative changes in mean air temperature could not be identified as a driver for glacier retreat and further investigations on extreme events in air temperature are necessary to assess the effect of atmospheric forcing on frontal retreat. The strengthening of all identified drivers was closely connected to positive phases of the Southern Annular Mode (SAM). With increasing greenhouse gases and ozone depletion, positive phases of SAM will occur more often and force glacier retreat even further in the future.
Within this thesis, a comprehensive review on existing Antarctic glacier and ice shelf front studies was conducted revealing major gaps in Antarctic calving front records. Therefore, a fully automated processing chain for glacier and ice shelf front extraction was implemented to track circum-Antarctic calving front fluctuations on an intra-annual basis. The large-scale applicability was certified by presenting two decades of circum-Antarctic calving front change. In combination with climate variables, drivers of recent glacier retreat were identified. In the future, the presented framework AntarcticLINES will greatly contribute to the constant monitoring of the Antarctic coastline under the pressure of a changing climate.
Platelets, small anucleate cell fragments in the blood stream, derive from large precursor cells, so-called megakaryocytes (MK) residing in the bone marrow (BM). In addition to their role in wound healing, platelets have been shown to play a significant role during inflammatory bleeding. Above all, the immunoreceptor tyrosine-based activation motif (ITAM) receptors GPVI as well as CLEC-2 have been identified as main regulators of vascular integrity.
In addition to ITAM-bearing receptors, our group identified GPV as another potent regulator of hemostasis and thrombosis. Surprisingly, concomitant lack of GPV and CLEC-2 deteriorated blood-lymphatic misconnections observed in Clec2-/- mice resulting in severe edema formation and intestinal inflammation. Analysis of lymphatic and vascular development in embryonic mesenteries revealed severely defective blood-lymph-vessel separation, which translated into thrombocytopenia and increased vascular permeability due to reduced tight junction density in mesenteric blood vessels and consequent leakage of blood into the peritoneal cavity.
Recently, platelet granule release has been proposed to ameliorate the progression of retinopathy of prematurity (ROP), a fatal disease in newborns leading to retinal degradation. The mechanisms governing platelet activation in this process remained elusive nonetheless, which prompted us to investigate a possible role of ITAM signaling. In the second part of this thesis, granule release during ROP was shown to be GPVI- and partly CLEC-2-triggered since blockade or loss of these receptors markedly deteriorated ROP progression.
Proplatelet formation from MKs is highly dependent on a functional microtubule and actin cytoskeleton, the latter of which is regulated by several actin-monomer binding proteins including Cofilin1 and Twinfilin1 that have been associated with actin-severing at pointed ends. In the present study, a redundancy between both proteins especially important for the guided release of proplatelets into the bloodstream was identified, since deficiency in both proteins markedly impaired MK functionality mainly due to altered actin-microtubule crosstalk.
Besides ITAM-triggered activation, platelets and MKs are dependent on inhibitory receptors, which prevent overshooting activation. We here identified macrothrombocytopenic mice with a mutation within Mpig6b encoding the ITIM-bearing receptor G6b-B. G6b-B-mutant mice developed a severe myelofibrosis associated with sex-specific bone remodeling defects resulting in osteosclerosis and -porosis in female mice. Moreover, G6b-B was shown to be indispensable for MK maturation as verified by a significant reduction in MK-specific gene expression in G6b-B-mutant MKs due to reduced GATA-1 activity.
Summary
Bees, like many other organisms, evolved an endogenous circadian clock, which enables them to foresee daily environmental changes and exactly time foraging flights to periods of floral resource availability. The social lifestyle of a honey bee colony has been shown to influence circadian behavior in nurse bees, which do not exhibit rhythmic behavior when they are nursing. On the other hand, forager bees display strong circadian rhythms. Solitary bees, like the mason bee, do not nurse their offspring and do not live in hive communities, but face the same daily environmental changes as honey bees. Besides their lifestyle mason and honey bees differ in their development and life history, because mason bees overwinter after eclosion as adults in their cocoons until they emerge in spring. Honey bees do not undergo diapause and have a relatively short development of a few weeks until they emerge. In my thesis, I present a comparison of the circadian clock of social honey bees (Apis mellifera) and solitary mason bees (Osmia bicornis and Osmia cornuta) on the neuroanatomical level and behavioral output level.
I firstly characterized in detail the localization of the circadian clock in the bee brain via the expression pattern of two clock components, namely the clock protein PERIOD (PER) and the neuropeptide Pigment Dispersing Factor (PDF), in the brain of honey bee and mason bee. PER is localized in lateral neuron clusters (which we called lateral neurons 1 and 2: LN1 and LN2) and dorsal neuron clusters (we called dorsal lateral neurons and dorsal neurons: DLN, DN), many glia cells and photoreceptor cells. This expression pattern is similar to the one in other insect species and indicates a common ground plan of clock cells among insects. In the LN2 neuron cluster with cell bodies located in the lateral brain, PER is co-expressed with PDF. These cells build a complex arborization network throughout the brain and provide the perfect structure to convey time information to brain centers, where complex behavior, e.g. sun-compass orientation and time memory, is controlled. The PDF arborizations centralize in a dense network (we named it anterio-lobular PDF hub: ALO) which is located in front of the lobula. In other insects, this fiber center is associated with the medulla (accessory medulla: AME). Few PDF cells build the ALO already in very early larval development and the cell number and complexity of the network grows throughout honey bee development. Thereby, dorsal regions are innervated first by PDF fibers and, in late larval development, the fibers grow laterally to the optic lobe and central brain. The overall expression pattern of PER and PDF are similar in adult social and solitary bees, but I found a few differences in the PDF network density in the posterior protocerebrum and the lamina, which may be associated with evolution of sociality in bees.
Secondly, I monitored activity rhythms, for which I developed and established a device to monitor locomotor activity rhythms of individual honey bees with contact to a mini colony in the laboratory. This revealed new aspects of social synchronization and survival of young bees with indirect social contact to the mini colony (no trophalaxis was possible). For mason bees, I established a method to monitor emergence and locomotor activity rhythms and I could show that circadian emergence rhythms are entrainable by daily temperature cycles. Furthermore, I present the first locomotor activity rhythms of solitary bees, which show strong circadian rhythms in their behavior right after emergence. Honey bees needed several days to develop circadian locomotor rhythms in my experiments. I hypothesized that honey bees do not emerge with a fully matured circadian system in the hive, while solitary bees, without the protection of a colony, would need a fully matured circadian clock right away after emergence. Several indices in published work and preliminary studies support my hypothesis and future studies on PDF expression in different developmental stages in solitary bees may provide hard evidence.
Identification and characterization of TAT-5 interactors that regulate extracellular vesicle budding
(2021)
Cells from bacteria to man release extracellular vesicles (EV) such as microvesicles (MV) that carry signaling molecules like morphogens and miRNAs to control intercellular communication during health and disease. MV release also sculpts membranes, e.g. repairing damaged membranes to avoid cell death. HIV viruses also bud from the plasma membrane in a similar fashion. In order to determine the in vivo functions of MVs and regulate their release, we need to understand the mechanisms of MV release by plasma membrane budding (ectocytosis).
The conserved phospholipid flippase TAT-5 maintains the asymmetric localization of phosphatidylethanolamine (PE) in the plasma membrane and was the only known inhibitor of ESCRT-mediated ectocytosis in C. elegans. Loss of TAT-5 lipid flipping activity increased the externalization of PE and accumulation of MVs. However, it was unclear how cells control TAT-5 activity to release the right amount of MVs at the right time, since no upstream regulators of TAT-5 were known.
To identify conserved TAT-5 regulators we looked for new proteins that inhibit MV release. To do so, we first developed a degradation-based technique to specifically label MVs. We tagged a plasma membrane reporter with the endogenous ZF1 degradation tag (degron) and expressed it in C. elegans embryos. This reporter is protected from degradation inside MVs, but is degraded inside the cell. Thus, the fluorescence is selectively maintained inside MVs, creating the first MV-specific reporter. We identified four MV release inhibitors associated with retrograde recycling, including the class III PI3Kinase VPS-34, Beclin1 homolog BEC-1, DnaJ protein RME-8, and the uncharacterized Dopey homolog PAD-1. We found that VPS-34, BEC-1, RME-8, and redundant sorting nexins are required for the plasma membrane localization of TAT-5, which is important to maintain PE asymmetry and inhibit MV release. Although we confirmed that PAD-1 and the GEF-like protein MON-2 are required for endosomal recycling, they only traffic TAT-5 in the absence of sorting nexin-mediated recycling. Instead, PAD-1 is specifically required for the lipid flipping activity of TAT-5 that inhibits MV release.
Thus, our work pinpoints TAT-5 and PE as key regulators of plasma membrane budding, further supporting the model that PE externalization drives ectocytosis. In addition, we uncovered redundant intracellular trafficking pathways, which affect organelle size and revealed new regulators of TAT-5 flippase activity. These newly identified ectocytosis inhibitors provide a toolkit to test the in vivo roles of MVs. In the long term, our work will help to identify the mechanisms that govern MV budding, furthering our understanding of the mechanisms that regulate disease-mediated EV release, membrane sculpting and viral budding.
Fluids in Gravitational Fields – Well-Balanced Modifications for Astrophysical Finite-Volume Codes
(2021)
Stellar structure can -- in good approximation -- be described as a hydrostatic state, which which arises due to a balance between gravitational force and pressure gradient. Hydrostatic states are static solutions of the full compressible Euler system with gravitational source term, which can be used to model the stellar interior. In order to carry out simulations of dynamical processes occurring in stars, it is vital for the numerical method to accurately maintain the hydrostatic state over a long time period. In this thesis we present different methods to modify astrophysical finite volume codes in order to make them \emph{well-balanced}, preventing them from introducing significant discretization errors close to hydrostatic states. Our well-balanced modifications are constructed so that they can meet the requirements for methods applied in the astrophysical context: They can well-balance arbitrary hydrostatic states with any equation of state that is applied to model thermodynamical relations and they are simple to implement in existing astrophysical finite volume codes. One of our well-balanced modifications follows given solutions exactly and can be applied on any grid geometry. The other methods we introduce, which do no require any a priori knowledge, balance local high order approximations of arbitrary hydrostatic states on a Cartesian grid. All of our modifications allow for high order accuracy of the method. The improved accuracy close to hydrostatic states is verified in various numerical experiments.
Arid environments cover almost one-third of the land over the world. Plant life in hot arid regions is prone to the water shortage and associated high temperatures. Drought-stressed plants close the stomata to reduce water loss. Under such conditions, the remaining water loss exclusively happens across the plant cuticle. The cuticular water permeability equals the minimum and inevitable water loss from the epidermal cells to the atmosphere under maximally stomatal closure. Thus, low cuticular water permeability is primordial for plant survival and viability under limited water source. The assumption that non-succulent xerophytes retard water loss due to the secretion of a heavier cuticle is often found in the literature. Intuitively, this seems to be plausible, but few studies have been conducted to evaluate the cuticular permeability of xerophilous plants. In chapter one, we investigated whether the cuticular permeability of Quercus coccifera L. grown in the aridest Mediterranean-subtype climate is indeed lower than that of individuals grown under temperate climate conditions. Also, the cuticular wax chemical compositions of plants grown in both habitats were qualitatively and quantitatively analysed by gas-chromatography. In few words, our findings showed that although the cuticular wax deposition increased in plants under Mediterranean climate, the cuticular permeability remained unaltered, regardless of habitat.
The associated high temperatures in arid regions can drastically increase the cuticular water permeability. Thereby, the thermal stability of the cuticular transpirational barrier is decisive for safeguarding non-succulent xerophytes against desiccation. The successful adaptation of plants to hot deserts might be based on finding different solutions to cope with water and heat stresses. Water-saver plants close the stomata before the leaf water potential drastically changes in order to prevent damage, whereas water-spender plants reduce the leaf water potential by opening the stomata, which allow them to extract water from the deep soil to compensate the high water loss by stomatal transpiration. In chapter two, we compare the thermal stability of the cuticular transpiration barrier of the desert water-saver Phoenix dactylifera L. and the water-spender Citrullus colocynthis (L.) Schrad. In short, the temperature-dependent increase of the cuticular permeability of P. dactylifera was linear over the whole temperature range (25-50°C), while that of C. colocynthis was biphasic with a steep increase at temperatures ≥ 40°C. This drastic increase of cuticular permeability indicates a thermally induced breakdown of the C. colocynthis cuticular transpiration barrier, which does not occur in P. dactylifera. We further discussed how the specific chemical composition of the cutin and cuticular waxes might contribute to the pronounced thermal resistance of the P. dactylifera cuticular transpiration barrier.
A multitude of morpho and physiological modifications, including photosynthetic thermal tolerance and traits related to water balance, led to the successful plant colonisation of hot arid regions over the globe. High evaporative demand and elevated temperatures very often go along together, thereby constraining the plant life in arid environments. In chapter 3, we surveyed cuticular permeability, leaf thermal tolerance, and cuticular wax chemical composition of 14 non-succulent plant species native from some of the hottest and driest biomes in South-America, Europe, and Asia. Our findings showed that xerophilous flowering plants present high variability for cuticular permeability and leaf thermal tolerance, but both physiological features could not be associated with the species original habitat. We also provide substantial evidence that non-succulent xerophytes with more efficient cuticular transpirational barrier have higher leaf thermal tolerance, which might indicate a potential coevolution of these features in hot arid biomes. We further discussed the efficiency of the cuticular transpiration barrier in function to the cuticular wax chemical composition in the general discussion section.
Peptide receptor radionuclide therapy (PRRT) is a molecular targeted radiation therapy involving the systemic administration of radiolabeled somatostatin receptor binding peptides designed to target with high affinity and specificity receptors overexpressed on tumors. Peptides are applied which either target as agonist (with internalization) or antagonist (little to no internalization). Recently, two novel antagonistic agents have been developed for clinical use: OPS202 and OPS201. 68Ga-labelled OPS202 is used for diagnostic purposes with positron emission tomography and 177Lu-labelled OPS201 is used for the therapy in patients with neuroendocrine tumors (NETs). Both agents are presently under clinical evaluation. Despite the very low internalization rate, the use of somatostatin receptor antagonists which target more binding sites on receptors are expected to result in higher specificity, more favorable pharmacokinetics and higher tumor retention and better visualization than the agonists. The main goal of this thesis was analyzing the biodistribution, biokinetics and internal dosimetry of the recently developed somatostatin receptor antagonists (OPS201 and OPS202) for therapeutic and diagnostic purposes in different species (mice, pigs and patients). In addition, an analysis of the influence of image quantification and the integration of time activity curves on kidney dosimetry in a pig model was carried out. Furthermore, extrapolation methods, which are used for predicting organ absorbed doses for humans based on preclinical animal models, were systematically compared for blood, liver, and kidneys of OPS201 injected species. Based on the OPS202 injected patients’ investigations, 68Ga-OPS202 shows promising biodistribution and imaging properties with tumor contrast which is optimal one hour after injection of the radiotracer. OPS202 is well tolerated and delivers absorbed doses to organs that are lower than those by 18F-FDG and similar to other 68Ga-labeled somatostatin receptor ligands. As a result of 68Ga OPS202 injection, the highest absorbed doses were observed in the urinary bladder (0.10 mGy/MBq) and kidneys (0.84 mGy/MBq). The calculated mean effective dose coefficient of 68Ga-OPS202 injected patients was 0.024 mSv/MBq (3.6 mSv for 150 MBq 68Ga-OPS202 injection) which is similar to other 68Ga-labeled compounds. Based on the OPS201 biokinetics and dosimetry investigations, after the injection of 177Lu-OPS201, a fast blood clearance of the compound is observed in the first phase (half-life: 1.83 h) for each species. 10 min after injection, less than 5% of the injected activity per milliliter of blood circulates in pigs and humans. The analysis of the mice, pig and preliminary patient data provides evidence that, patients enrolled in a phase 1 177Lu-OPS201 trial would not be at risk of overexposure. Based on our results, for 177Lu labelled studies, late time points after 72 h have a great impact on absorbed dose calculations. That is why follow-up times especially at late time points (more than 72 h) are required for the time-integrated activity coefficient (TIAC) calculations in order to represent the area under the curve appropriately and to analyze both biokinetics and dosimetry accurately. In addition, to find the most adequate extrapolation methods that minimize the interspecies differences of dosimetry data, several extrapolation methods from animal to human have been tested. For OPS201 time scaling or combination of relative mass and time scaling results in most similar TIAC values, if the organ mass ratios between the species are high. In time scaling, the scan/sampling time is scaled by using the ratio of the whole body masses of the respective species. In relative mass scaling, the TIACs are scaled based on the ratio of the whole body and organ mass of respective species. Other methods tested showed higher deviations. For the study on the influence of image quantification and the choice of the optimal scanning time points, a study in a pig model, which was performed in collaboration with Aalborg University and Octreopharm Sciences GmbH, was reanalyzed. As kidneys are organs-at-risk in PRRT with 177Lu labelled peptides, several quantification methods, based on 2D and 3D quantitative imaging were chosen. For this purpose, a 3D printed pig kidney phantom was prepared and measured with/without background activities representing the activities in the pig SPECT/CT scans. The phantom dosimetry data based on multiple SPECT/CT images and based on multiple planar images in combination with one SPECT/CT scan (MP1S Imaging) were compared to the pig dosimetry. The calculated TIACs of the phantom with background based on multiple SPECT/CT and MP1S imaging were quite similar to the multiple SPECT/CT based pig TIAC. In addition, in order to investigate the effect of late time points on dosimetry and absorbed dose values in 177Lu therapies, the difference, associated with eliminating the late two scan time points, on the TIACs was analyzed. When the TIACs (including all time points) of the pig based on multiple SPECT/CT and MP1S imaging were investigated, the use of MP1S imaging results in considerably lower TIAC values to the kidney (by a factor of 1.4). With eliminating late time points from the created time activity curve, the factor increases up to 2.4 times with a corresponding increase in TIAC uncertainties. As a consequence, further evaluation of 68Ga-OPS202 for PET/CT imaging and 177Lu-OPS201 for the treatments of NET patients is necessary. In particular, a head-to-head comparison of agonists and OPS peptides with respect to biokinetics, biodistribution and dosimetry would be helpful. In addition, the influence of the late scan time points on dosimetry needs further attention in particular for kidney dosimetry
The strategic planning of Emergency Medical Service systems is directly related to the probability of surviving of the affected humans. Academic research has contributed to the evaluation of these systems by defining a variety of key performance metrics. The average response time, the workload of the system, several waiting time parameters as well as the fraction of demand that cannot immediately be served are among the most important examples. The Hypercube Queueing Model is one of the most applied models in this field. Due to its theoretical background and the implied high computational times, the Hypercube Queueing Model has only been recently used for the optimization of Emergency Medical Service systems. Likewise, only a few system performance metrics were calculated with the help of the model and the full potential therefore has not yet been reached. Most of the existing studies in the field of optimization with the help of a Hypercube Queueing Model apply the expected response time of the system as their objective function. While it leads to oftentimes balanced system configurations, other influencing factors were identified. The embedding of the Hypercube Queueing Model in the Robust Optimization as well as the Robust Goal Programming intended to offer a more holistic view through the use of different day times. It was shown that the behavior of Emergency Medical Service systems as well as the corresponding parameters are highly subjective to them. The analysis and optimization of such systems should therefore consider the different distributions of the demand, with regard to their quantity and location, in order to derive a holistic basis for the decision-making.
The implantation of any foreign material into the body automatically starts an immune reaction that serves as the first, mandatory step to regenerate tissue. The course of this initial immune reaction decides on the fate of the implant: either the biomaterial will be integrated into the host tissue to subsequently fulfill its intended function (e.g., tissue regeneration), or it will be repelled by fibrous encapsulation that determines the implant failure. Especially neutrophils and macrophages play major roles during this inflammatory response and hence mainly decide on the biomaterial's fate. For clinically relevant tissue engineering approaches, biomaterials may be designed in shape and morphology as well as in their surface functionality to improve the healing outcome, but also to trigger stem cell responses during the subsequent tissue regeneration phase.
The main focus of this thesis was to unravel the influence of scaffold characteristics, including scaffold morphology and surface functionality, on primary human innate immune cells (neutrophils and macrophages) and human mesenchymal stromal cells (hMSCs) to assess their in vitro immune response and tissue regeneration capacity, respectively. The fiber-based constructs were produced either via melt electrowriting (MEW), when the precise control over scaffold morphology was required, or via solution electrospinning (ES), when the scaffold design could be neglected. All the fiber-based scaffolds used throughout this thesis were composed of the polymer poly(ε caprolactone) (PCL).
A novel strategy to model and alleviate the first direct cell contact of the immune system with a peptide-bioactived fibrous material was presented in chapter 3 by treating the material with human neutrophil elastase (HNE) to imitate the neutrophil attack. The main focus of this study was put on the effect of HNE towards an RGDS-based peptide that was immobilized on the surface of a fibrous material to improve subsequent L929 cell adhesion. The elastase efficiently degraded the peptide-functionality, as evidenced by a decreased L929 cell adhesion, since the peptide integrated a specific HNE-cleavage site (AAPV-motif). A sacrificial hydrogel coating based on primary oxidized hyaluronic acid (proxHA), which dissolved within a few days after the neutrophil attack, provided an optimal protection of the peptide-bioactivated fibrous mesh, i.e, the hydrogel alleviated the neutrophil attack and largely ensured the biomaterial's integrity. Thus, according to these results, a means to protect the biomaterial is required to overcome the neutrophil attack.
Chapter 4 was based on the advancement of melt electrowriting (MEW) to improve the printing resolution of MEW scaffolds in terms of minimal inter-fiber distances and a concomitant high stacking precision. Initially, to gain a better MEW understanding, the influence of several parameters, including spinneret diameter, applied pressure, and collector velocity on mechanical properties, crystallinity, fiber diameter and fiber surface morphology was analyzed. Afterward, innovative MEW designs (e.g., box-, triangle-, round , and wall-shaped scaffolds) have been established by pushing the printing parameters to their physical limits. Further, the inter-fiber distance within a standardized box-structured scaffold was successfully reduced to 40 µm, while simultaneously a high stacking precision was maintained. In collaboration with a co-worker of my department (Tina Tylek, who performed all cell-based experiments in this study), these novel MEW scaffolds have been proven to facilitate human monocyte-derived macrophage polarization towards the regenerative M2 type in an elongation-driven manner with a more pronounced effect with decreasing pore sizes.
Finally, a pro-adipogenic platform for hMSCs was developed in chapter 5 using MEW scaffolds with immobilized, complex ECM proteins (e.g., human decellularized adipose tissue (DAT), laminin (LN), and fibronectin (FN)) to test for the adipogenic differentiation potential in vitro. Within this thesis, a special short-term adipogenic induction regime enabled to more thoroughly assess the intrinsic pro-adipogenic capacity of the composite biomaterials and prevented any possible masking by the commonly used long-term application of adipogenic differentiation reagents. The scaffolds with incorporated DAT consistently showed the highest adipogenic outcome and hence provided an adipo-inductive microenvironment for hMSCs, which holds great promise for applications in soft tissue regeneration.
Future studies should combine all three addressed projects in a more in vivo-related manner, comprising a co-cultivation setup of neutrophils, macrophages, and MSCs. The MEW-scaffold, particularly due to its ability to combine surface functionality and adjustable morphology, has been proven to be a successful approach for wound healing and paves the way for subsequent tissue regeneration.
Background: In recent years, health care has increasingly become the focus of public interest, politics, health insurance companies, and research. This includes the development of therapeutic concepts that can respond individually to patients' resources in order to improve coping with chronic diseases. Research into psychosocial and biological resilience factors is very important and the basic objective of the present work. I studied patients with fibromyalgia syndrome (FMS), who suffer among others from chronic pain, fatigue, sleep and gastrointestinal problems. This patient cohort is characterized by a pronounced heterogeneity in terms of clinical outcome, degree in disability and coping. FMS has a prevalence of 3 – 8 % in the Western population and has a significant socio-economic impact. Validated psychosocial resilience factors include optimism, humor, coherence, self-efficacy, awareness with one's own resources and the ability to apply them profitably (coping), and a healthy social environment with positive relationships. Studies in patients with cancer revealed religiosity as positive and negative factor on the health outcome, but there is little data on religious aspects of pain resilience. Various genetic polymorphisms and anti-inflammatory cytokines are known as biological resilience factors. Various microRNA (miRNA) were detected to contribute to resilience in the context of stress and psychiatric disorders. Objective: The underlying research question of this work is to understand the factors that make some FMS patients resilient and others not, even though they suffer from the same disease. The long-term aim was to understand mechanisms and influencing factors of resilience to design preventive and resource-oriented therapies for FMS patients. Material and Methods: Three studies examined religious, physiological, biological, and psychosocial factors which may contribute to resilience in FMS patients. Study one combined data of questionnaires, a psychosocial interview, and regression analyses to investigate the relevance of religiosity for coping and resilience. Study two examined variance explaining factors and defined clusters among FMS patients by their differences in coping, pain phenotype and disability. The factor analysis used variables derived from questionnaires and qPCR of cytokines in white blood samples (WBC) of patients and healthy controls. Study three assessed cluster-wise miRNA signatures which may underly differences in behaviour, emotional and physiological disability, and resilience among patient clusters. A cluster-specific speculative model of a miRNA-mediated regulatory cycle was proposed and its potential targets verified by an online tool. Results: The data from the first study revealed a not very religious patient cohort, which was rather ambivalent towards the institution church, but described itself as a believer. The degree of religiosity played a role in the choice of coping strategy but had no effect on psychological parameters or health outcomes. The coping strategy "reinterpretation", which is closely related iv to the religious coping "reappraisal", had the highest influence on FMS related disability. Cognitive active coping strategies such as reappraisal which belongs to religious coping had the highest effect on FMS related disability (resilience) and could be trained by a therapist. Results from the second study showed high variances of all measured cytokines within the patient group and no difference between patient and control group. The high dispersion indicated cluster among patients. Factor analysis extracted four variance-explaining factors named as affective load, coping, pain, and pro-inflammatory cytokines. Psychological factors such as depression were the most decisive factors of everyday stress in life and represented the greatest influence on the variance of the data. Study two identified four clusters with respective differences in the factors and characterized them as poorly adapted (maladaptive), well adapted (adaptive), vulnerable and resilient. Their naming was based on characteristics of both resilience concepts, indicated by patients who were less stress-sensitive and impaired as a personal characteristic and by patients who emerged as more resilient from a learning and adaptive process. The data from the variance analysis suggests that problem- and emotion-focused coping strategies and a more anti-inflammatory cytokine pattern are associated with low impairment and contribute to resilience. Additional favorable factors include low anxiety, acceptance, and persistence. Some cluster-specific intervention proposals were created that combine existing concepts of behavioral and mindfulness therapies with alternative therapies such as vitamin D supplementation and a healthy intestinal flora. The results of the third study revealed lower relative gene expression of miR103a-3p, miR107, and miR130a-3p in the FMS cohort compared to the healthy controls with a large effect size. The adaptive cluster had the highest gene expression of miR103a-3p and tendentially of miR107, which was correlated with the subscale score "physical abuse" of the trauma questionnaire. Further correlations were found in particular with pain catastrophizing and FMS-related disability. MiR103a-3p and miR107 form a miRNA-family. Based on this, we proposed a miR103a/107 regulated model of an adaptive process to stress, inflammation and pain by targeting genetic factors which are included in different anti-inflammatory and stress-regulating pathways. Conclusion: All three studies provide new insights into resilience in FMS patients. Cognitive coping (reappraisal/reinterpretation) plays a central role and thus offers therapeutic targets (reframing in the context of behavioral therapy). Religosity as a resilience factor was only partially valid for our patient cohort. Basically, the use of resource-oriented therapy in large institutions still requires research and interdisciplinary cooperation to create a consensus between the humanities, natural sciences and humanism.
Over the last two decades, accompanied by their prediction and ensuing realization, topological non-trivial materials like topological insulators, Dirac semimetals, and Weyl semimetals have been in the focus of mesoscopic condensed matter research. While hosting a plethora of intriguing physical phenomena all on their own, even more fascinating features emerge when superconducting order is included. Their intrinsically pronounced spin-orbit coupling leads to peculiar, time-reversal symmetry protected surface states, unconventional superconductivity, and even to the emergence of exotic bound states in appropriate setups.
This Thesis explores various junctions built from - or incorporating - topological materials in contact with superconducting order, placing particular emphasis on the transport properties and the proximity effect.
We begin with the analysis of Josephson junctions where planar samples of mercury telluride are sandwiched between conventional superconducting contacts. The surprising observation of pronounced excess currents in experiments, which can be well described by the Blonder-Tinkham-Klapwijk theory, has long been an ambiguous issue in this field, since the necessary presumptions are seemingly not met. We propose a resolution to this predicament by demonstrating that the interface properties in hybrid nanostructures of distinctly different materials yet corroborate these assumptions and explain the outcome. An experimental realization is feasible by gating the contacts. We then proceed with NSN junctions based on time-reversal symmetry broken Weyl semimetals and including superconducting order. Due to the anisotropy of the electron band structure, both the transport properties as well as the proximity effect depend substantially on the orientation of the interfaces between the materials. Moreover, an imbalance can be induced in the electron population between Weyl nodes of opposite chirality, resulting in a non-vanishing spin polarization of the Cooper pairs leaking into the normal contacts. We show that such a system features a tunable dipole character with possible applications in spintronics. Finally, we consider partially superconducting surface states of three-dimensional topological insulators. Tuning such a system into the so-called bipolar setup, this results in the formation of equal-spin Cooper pairs inside the superconductor, while simultaneously acting as a filter for non-local singlet pairing. The creation and manipulation of these spin-polarized Cooper pairs can be achieved by mere electronic switching processes and in the absence of any magnetic order, rendering such a nanostructure an interesting system for superconducting spintronics. The inherent spin-orbit coupling of the surface state is crucial for this observation, as is the bipolar setup which strongly promotes non-local Andreev processes.
The eukaryotic gene expression requires extensive regulations to enable the homeostasis of the cell and to allow dynamic responses due to external stimuli. Although many regulatory mechanisms involve the transcription as the first step of the gene expression, intensive regulation occurs also in the post-transcriptional mRNA metabolism. Thereby, the particular composition of the mRNPs plays a central role as the components associated with the mRNA form a specific “mRNP code” which determines the fate of the mRNA. Many proteins which are involved in this regulation and the mRNA metabolism are affected in diseases and especially neurological disorders often result from an aberrant mRNP code which leads to changes in the regulation and expression of mRNPs.
The focus of this work was on a trimeric protein complex which is termed TTF complex based on its subunits TDRD3, TOP3β and FMRP. Biochemical investigations revealed that the three components of the TTF complex are nucleo-cytosolic shuttle proteins which localize in the cytoplasm at the steady-state, associate with mRNPs and are presumably connected to the translation. Upon cellular stress conditions, the TTF components concentrate in stress granules. Thus, the TTF complex is part of the mRNP code, however its target RNAs and function are still completely unknown. Since the loss of functional FMRP results in the fragile X syndrome and TOP3β is associated with schizophrenia and intellectual disability, the TTF complex connects these phenotypically related neuro-psychiatric disorders with each other on a molecular level.
Therefore, the aim of this work was to biochemically characterize the TTF complex and to define its function in the mRNA metabolism. In this work, evidence was provided that TDRD3 acts as the central unit of the TTF complex and directly binds to FMRP as well as to TOP3β. Thereby, the interaction of TDRD3 and TOP3β is very stable, whereas FMRP is a dynamic component. Interestingly, the TTF complex is not bound directly to mRNA, but is recruited via the exon junction complex (EJC) to mRNPs. This interaction is mediated by a specific binding motif of TDRD3, the EBM. Upon biochemical and biological investigations, it was possible to identify the interactome of the TTF complex and to define the role in the mRNA metabolism. The data revealed that the TTF complex is mainly associated with “early” mRNPs and is probably involved in the pioneer round of translation. Furthermore, TOP3β was found to bind directly to the ribosome and thus, establishes a connection between the EJC and the translation machinery. A reduction of the TTF components resulted in selective changes in the proteome in cultured cells, whereby individual protein subsets seem to be regulated rather than the global protein expression.
Moreover, the enzymatic analysis of TOP3β indicated that TOP3β is a type IA topoisomerase which can catalytically attack not only DNA but also RNA. This aspect is particularly interesting with regard to the connection between early mRNPs and the translation which has been revealed in this work.
The data obtained in this work suggest that the TTF complex plays a role in regulating the metabolism of an early mRNP subset possibly in the course of the pioneer round of translation. Until now, the link between an RNA topoisomerase and the mRNA metabolism is thereby unique and thus provides a completely new perspective on the steps in the post-transcriptional gene expression and its regulation.
This work revealed spin states that are involved in the light generation of organic light-emitting diodes (OLEDs) that are based on thermally activated delayed fluorescence (TADF). First, several donor:acceptor-based TADF systems forming exciplex states were investigated. Afterwards, a TADF emitter that shows intramolecular charge transfer states but also forms exciplex states with a proper donor molecule was studied. The primary experimental technique was electron paramagnetic resonance (EPR), in particular the advanced methods electroluminescence detected magnetic resonance (ELDMR), photoluminescence detected magnetic resonance (PLDMR) and electrically detected magnetic resonance (EDMR). Additional information was gathered from time-resolved and continuous wave photoluminescence measurements.
Introduction: Abdominal aortic aneurysm (AAA) is a pathological saccular enlargement most often of the infrarenal aorta. Eventual rupture is fatal, making preemptive surgical therapy upon a diameter threshold of >50mm the treatment of choice. The pathophysiology, especially the initial trigger aortic remodeling is still largely unknown. However, some characteristic features involved in aneurysm growth have been established, such as medial angiogenesis, low-grade inflammation, vascular smooth muscle cell (VSMC) phenotype switch, extracellular remodeling, altered hemodynamics and an eventual humoral immune answer. Currently, no medical treatment options are available. RNA therapeutics and drug repurposing offer new possibilities to overcome this shortage. Using such to target angiogenesis in the aneurysm wall and investigate their potential mechanisms is the aim of this thesis. Material and Methods: We test our hypothesis by targeting the long non-coding RNA H19 and re-use the anti-cancer drug Lenvatinib in two murine inducible AAA models and one preclinical large animal model in the LDLR-/- pig. Furthermore, a H19-/- mouse is included to verify the results. AAA and control samples from a human biobank along with a primary human cell culture are used to verify results ex vivo by qPCR, WesternBlot, live cell imaging, histo- and immunohistochemistry along with gene array analysis, RNA knockdown, pull-down- and promotor assays. Results: H19 is significantly upregulated in AAA mice models and its knockdown limited aneurysm growth. It is well known that H19 interacts with several transcription factors. We found that cytoplasmic interaction between H19 and hypoxia-inducible factor 1-alpha (HIF1α) increased apoptosis in cultured SMCs associated with sequential p53 stabilization. In contrast, the knockdown of H19 was associated with markedly decreased apoptotic cell rates. Our data underline that HIF1α was essential in mediating the pro-apoptotic effects of H19. Secondly, Lenvatinib was applied both systemically and locally by endovascular means in mice with an established AAA. The drug significantly halted aneurysm growth and array analysis revealed myosin heavy chain 11 (MYH11) as the most differentially regulated target. This was shown to be up regulated after Lenvatinib treatment of primary AAA smooth muscle cells suggesting a salvage mechanism to obtain a contractile phenotype based on gene expression and immunohistochemistry. The same results were shown upon a local endovascular Lenvatinib-coated balloon angioplasty in the established aneurysmatic lesion of a novel atherosclerotic LDLR-/- Yucatan minipig model. Decreased phosphorylation of extracellular-signal regulated kinases 1-2 (ERK1-2) is the downstream effect of Lenvatinib-specific blockage of the vascular endothelial growth factor receptor (VEGFR2). Conclusion: Taking into account the heterogeneity of the disease, inhibition of VSMC phenotype switch, extracellular remodeling and angiogenesis seem promising targets in some if not all AAA patients. Together with surveillance and surgical therapy, these new non-invasive treatment strategies would allow for a more personalized approach to treat this disease.
The quantum Hall (QH) effect, which can be induced in a two-dimensional (2D) electron gas by an external magnetic field, paved the way for topological concepts in condensed matter physics. While the QH effect can for that reason not exist without Landau levels, there is a plethora of topological phases of matter that can exist even in the absence of a magnetic field. For instance, the quantum spin Hall (QSH), the quantum anomalous Hall (QAH), and the three-dimensional (3D) topological insulator (TI) phase are insulating phases of matter that owe their nontrivial topology to an inverted band structure. The latter results from a strong spin-orbit interaction or, generally, from strong relativistic corrections. The main objective of this thesis is to explore the fate of these preexisting topological states of matter, when they are subjected to an external magnetic field, and analyze their connection to quantum anomalies. In particular, the realization of the parity anomaly in solid state systems is discussed. Furthermore, band structure engineering, i.e., changing the quantum well thickness, the strain, and the material composition, is employed to manipulate and investigate various topological properties of the prototype TI HgTe.
Like the QH phase, the QAH phase exhibits unidirectionally propagating metallic edge channels. But in contrast to the QH phase, it can exist without Landau levels. As such, the QAH phase is a condensed matter analog of the parity anomaly. We demonstrate that this connection facilitates a distinction between QH and QAH states in the presence of a magnetic field. We debunk therefore the widespread belief that these two topological phases of matter cannot be distinguished, since they are both described by a $\mathbb{Z}$ topological invariant. To be more precise, we demonstrate that the QAH topology remains encoded in a peculiar topological quantity, the spectral asymmetry, which quantifies the differences in the number of states between the conduction and valence band. Deriving the effective action of QAH insulators in magnetic fields, we show that the spectral asymmetry is thereby linked to a unique Chern-Simons term which contains the information about the QAH edge states. As a consequence, we reveal that counterpropagating QH and QAH edge states can emerge when a QAH insulator is subjected to an external magnetic field. These helical-like states exhibit exotic properties which make it possible to disentangle QH and QAH phases. Our findings are of particular importance for paramagnetic TIs in which an external magnetic field is required to induce the QAH phase.
A byproduct of the band inversion is the formation of additional extrema in the valence band dispersion at large momenta (the `camelback'). We develop a numerical implementation of the $8 \times 8$ Kane model to investigate signatures of the camelback in (Hg,Mn)Te quantum wells. Varying the quantum well thickness, as well as the Mn-concentration, we show that the class of topologically nontrivial quantum wells can be subdivided into direct gap and indirect gap TIs. In direct gap TIs, we show that, in the bulk $p$-regime, pinning of the chemical potential to the camelback can cause an onset to QH plateaus at exceptionally low magnetic fields (tens of mT). In contrast, in indirect gap TIs, the camelback prevents the observation of QH plateaus in the bulk $p$-regime up to large magnetic fields (a few tesla). These findings allowed us to attribute recent experimental observations in (Hg,Mn)Te quantum wells to the camelback. Although our discussion focuses on (Hg,Mn)Te, our model should likewise apply to other topological materials which exhibit a camelback feature in their valence band dispersion.
Furthermore, we employ the numerical implementation of the $8\times 8$ Kane model to explore the crossover from a 2D QSH to a 3D TI phase in strained HgTe quantum wells. The latter exhibit 2D topological surface states at their interfaces which, as we demonstrate, are very sensitive to the local symmetry of the crystal lattice and electrostatic gating. We determine the classical cyclotron frequency of surface electrons and compare our findings with experiments on strained HgTe.
This thesis is devoted to a theoretical and numerical investigation of methods to solve open-loop non zero-sum differential Nash games. These problems arise in many applications, e.g., biology, economics, physics, where competition between different agents appears. In this case, the goal of each agent is in contrast with those of the others, and a competition game can be interpreted as a coupled optimization problem for which, in general, an optimal solution does not exist. In fact, an optimal strategy for one player may be unsatisfactory for the others. For this reason, a solution of a game is sought as an equilibrium and among the solutions concepts proposed in the literature, that of Nash equilibrium (NE) is the focus of this thesis. The building blocks of the resulting differential Nash games are a dynamical model with different control functions associated with different players that pursue non-cooperative objectives. In particular, the aim of this thesis is on differential models having linear or bilinear state-strategy structures. In this framework, in the first chapter, some well-known results are recalled, especially for non-cooperative linear-quadratic differential Nash games. Then, a bilinear Nash game is formulated and analysed. The main achievement in this chapter is Theorem 1.4.2 concerning existence of Nash equilibria for non-cooperative differential bilinear games. This result is obtained assuming a sufficiently small time horizon T, and an estimate of T is provided in Lemma 1.4.8 using specific properties of the regularized Nikaido-Isoda function. In Chapter 2, in order to solve a bilinear Nash game, a semi-smooth Newton (SSN) scheme combined with a relaxation method is investigated, where the choice of a SSN scheme is motivated by the presence of constraints on the players’ actions that make the problem non-smooth. The resulting method is proved to be locally convergent in Theorem 2.1, and an estimate on the relaxation parameter is also obtained that relates the relaxation factor to the time horizon of a Nash equilibrium and to the other parameters of the game. For the bilinear Nash game, a Nash bargaining problem is also introduced and discussed, aiming at determining an improvement of all players’ objectives with respect to the Nash equilibrium. A characterization of a bargaining solution is given in Theorem 2.2.1 and a numerical scheme based on this result is presented that allows to compute this solution on the Pareto frontier. Results of numerical experiments based on a quantum model of two spin-particles and on a population dynamics model with two competing species are presented that successfully validate the proposed algorithms. In Chapter 3 a functional formulation of the classical homicidal chauffeur (HC) Nash game is introduced and a new numerical framework for its solution in a time-optimal formulation is discussed. This methodology combines a Hamiltonian based scheme, with proximal penalty to determine the time horizon where the game takes place, with a Lagrangian optimal control approach and relaxation to solve the Nash game at a fixed end-time. The resulting numerical optimization scheme has a bilevel structure, which aims at decoupling the computation of the end-time from the solution of the pursuit-evader game. Several numerical experiments are performed to show the ability of the proposed algorithm to solve the HC game. Focusing on the case where a collision may occur, the time for this event is determined. The last part of this thesis deals with the analysis of a novel sequential quadratic Hamiltonian (SQH) scheme for solving open-loop differential Nash games. This method is formulated in the framework of Pontryagin’s maximum principle and represents an efficient and robust extension of the successive approximations strategy in the realm of Nash games. In the SQH method, the Hamilton-Pontryagin functions are augmented by a quadratic penalty term and the Nikaido-Isoda function is used as a selection criterion. Based on this fact, the key idea of this SQH scheme is that the PMP characterization of Nash games leads to a finite-dimensional Nash game for any fixed time. A class of problems for which this finite-dimensional game admits a unique solution is identified and for this class of games theoretical results are presented that prove the well-posedness of the proposed scheme. In particular, Proposition 4.2.1 is proved to show that the selection criterion on the Nikaido-Isoda function is fulfilled. A comparison of the computational performances of the SQH scheme and the SSN-relaxation method previously discussed is shown. Applications to linear-quadratic Nash games and variants with control constraints, weighted L1 costs of the players’ actions and tracking objectives are presented that corroborate the theoretical statements.
The goal of this doctoral thesis is to identify appropriate methods for the estimation of connectivity and for measuring synchrony between spike trains from in vitro neuronal networks. Special focus is set on the parameter optimization, the suitability for massively parallel spike trains, and the consideration of the characteristics of real
recordings. Two new methods were developed in the course of the optimization which outperformed other methods from the literature. The first method “Total spiking probability edges” (TSPE) estimates the effective connectivity of two spike trains, based on the
cross-correlation and a subsequent analysis of the cross-correlogram. In addition to the estimation of the synaptic weight, a distinction between excitatory and inhibitory connections is possible. Compared to other methods, simulated neuronal networks could be estimated with higher accuracy, while being suitable for the analysis of massively parallel spike trains. The second method “Spike-contrast” measures the synchrony of parallel spike trains
with the advantage of automatically optimizing its time scale to the data. In contrast to other methods, which also adapt to the characteristics of the data, Spike-contrast is more robust to erroneous spike trains and significantly faster for large amounts of parallel spike trains. Moreover, a synchrony curve as a function of the time scale is generated by Spike-contrast. This optimization curve is a novel feature for the analysis of parallel spike trains.
ERK1/2 are known key players in the pathophysiology of heart failure, but the members of the ERK cascade, in particular Raf1, can also protect the heart from cell death and ischemic injury. An additional autophosphorylation (ERK1 at Thr208, ERK2 at Thr188) empowers ERK1/2 translocation to the nucleus and phosphorylation of nuclear targets which take part in the development of cardiac hypertrophy. Thereby, targeting this additional phosphorylation is a promising pharmacological approach.
In this thesis, an in silico model of ERK cascade in the cardiomyocyte is introduced. The model is a semi-quantitive model and its behavior was tested with different softwares (SQUAD and CellNetAnalyzer). Different phosphorylation states of ERK1/2 as well as different stimuli can be reproduced. The different types of stimuli include hypertrophic as well as non-hypertrophic stimuli. With the introduced in-silico model time courses and synergistic as well as antagonistic receptor stimuli combinations can be predicted. The simulated time courses were experimentally validated. SQUAD was mainly used to make predictions about time courses and thresholds, whereas CNA was used to analyze steady states and feedback loops.
Furthermore, new targets of ERK1/2 which partially contribute, also in the formation of cardiac hypertrophy, were identified and the most promising of them were illuminated. Important further targets are Caspase 8, GAB2, Mxi-2, SMAD2, FHL2 and SPIN90.
Cardiomyocyte gene expression data sets were analyzed to verify involved components and to find further significantly altered genes after induced hypertrophy with TAC (transverse aortic constriction). Changes in the ultrastructure of the cardiomyocyte are the final result of induced hypertrophy.
The substitution of selected CC units by their isoelectronic and isosteric BN units in π−conjugated organic compounds (BN/CC isosterism), especially polycyclic aromatic hydrocarbons (PAHs), has emerged as a viable strategy to produce novel organic–inorganic hybrid materials with structural similarities to their all-carbon congeners, but in many cases with intriguing properties and functions.
In the first two chapters the synthesis and properties of novel BNB-doped phenalenyls, dithienoazadiborepins and dithienooxadiborepins are presented. The optoelectronic properties of these new building blocks can be effectively tuned by variation of the incorporated Ar (Mes, Tip, FMes) and R groups (H, Me, i-Pr, t-Bu, Ph). Theoretical investigations, including NICS (Nucleus Independent Chemical Shift) scans and AICD (Anisotropy of the Induced Current Density) calculations, have been performed which provide insight into their aromatic or antiaromatic character, respectively.
The incorporation of BP units, on the other hand, which are valence isoelectronic with BN and CC, into unsaturated organic compounds, has been scarcely studied, though the potential of the resulting BCP hybrid materials for electronic applications has been recognized quite recently. Main chain conjugated polymers featuring BP fragments in the backbone are unknown so far. The first molecular model compounds for a BP analogue of the conjugated polymer poly(p-phenylene vinylene) (PPV) are presented in chapter 3. Theoretical investigations revealed that the Mes* group to fully planarizes the phosphorus center, increasing the B=P double bond character and enabling conjugation over the BP unit. Different synthetic approaches to the molecular model compounds have been investigated and a viable synthetic strategy was found.
L-type voltage-gated calcium channels (LTCC) are heteromultimeric membrane proteins that allow Ca2+ entry into the cell upon plasma membrane depolarization. The β subunit of voltage-dependent calcium channels (Cavβ) binds to the α-interaction domain in the pore-forming α1 subunit and regulates the trafficking and biophysical properties of these channels. Of the four Cavβ isoforms, Cavβ2 is predominantly expressed in cardiomyocytes. This subunit associates with diverse proteins besides LTCC, but the molecular composition of the Cavβ2 nanoenvironments in cardiomyocytes is yet unresolved. Here, we used a protein-labeling technique in living cells based on an engineered ascorbate peroxidase 2 (APEX2). In this strategy, Cavβ2b was fused to APEX2 and expressed in adult rat cardiomyocytes using an adenovirus system. Nearby proteins covalently labeled with biotin-phenol were purified using streptavidin-coated beads and identified by mass spectrometry (MS). Analysis of the in situ APEX2-based biotin labeling by MS revealed 61 proteins located in the nanoenvironments of Cavβ2b, with a high specificity and consistency in all the replicates. These proteins are involved in diverse cellular functions such as cellular trafficking, sarcomere organization and excitation-contraction coupling. Among these proteins, we demonstrated an interaction between the ryanodine receptor 2 (RyR2) and Cavβ2b, probably coupling LTCC and the RyR2 into a supramolecular complex at the dyads. This interaction is mediated by the Src homology 3 (SH3) domain of Cavβ2b and is necessary for an effective pacing frequency‐dependent increase in Ca2+-induced Ca2+ release in cardiomyocytes.
One of the fascinating features of meiotic prophase I, is the highly conserved
vigorous movements of homologous chromosomes. These movements are
critical for the success of essential events as homologs alignment, synapsis and
recombination. Several organisms studied so far, including mammals, worms,
yeast and plants achieve these movements by anchoring the chromosome ends
to specialized sites in the nuclear envelope (NE). This attachment requires
telomere adaptor proteins which have to date been identified in fission yeast
and mice.
The mouse meiosis-specific telomere adaptor proteins TERB1, TERB2, and
MAJIN are involved in the attachment of ubiquitous shelterin telomere to the
LINC complex, in an analogous mechanism as those described in fission yeast.
Despite the essential role of meiosis-specific telomere adaptor proteins, the
precise mechanism of anchorage of telomeres to the nuclear envelope, as well
as their evolutionary history, are still not well understood. Therefore, the main
aim of this thesis is to investigate the organization of the mouse meiosis-specific
telomere adaptor complex TERB1-TERB2-MAJIN and its evolutionary history.
In the first part of this thesis high-resolution Structured Illumination Microscopy
(SIM), indirect immunofluorescence and Telo-FISH on mouse spermatocytes
were used to determine precisely how the telomere complex proteins are
localized with relation to the shelterin telomeric TRF1 protein and telomeric
DNA. During zygotene and pachytene stages staining patterns revealed
extensively overlapping of meiotic telomere complex proteins distributions in
which TERB2 organization is more heterogeneous than TERB1 and MAJIN at
the chromosome ends. Further, TRF1 localization was shown at the side of
lateral elements (LEs) ends with grasp-like distribution surrounding the TERB1
and MAJIN signals in zygotene and pachytene stages. Interestingly, telomeric
DNA was shown to be laterally distributed and partially overlapping with the
more central distribution displayed by meiotic telomere complex proteins of LEs
ends. The combination of these results allowed to describe an alternative model
of the telomere attachment to the NE during meiotic prophase I. The second part of this thesis, analyses mouse TERB1, TERB2, and MAJIN
evolutionary history. The lack of similarity between mouse and fission yeast
meiotic-specific telomere adaptor proteins has raised the question about the
origin of this specific complex through evolution. To identify mouse TERB1,
TERB2, and MAJIN putative orthologues, computational approaches and
phylogenetic analyses were performed. Besides, to test their potential function
during meiosis, expression studies were conducted. From these analyses, it was
revealed that mouse meiosis-specific telomere complex is ancient, as it
originated as early as eumetazoans pointing to a single origin. The absence of
any homologs in Nematoda and only a few candidates detected in Arthropoda
for meiosis-specific telomere complex, seemed, that these proteins have been
lost/replaced or highly diversified in these lineages. Remarkably, TERB1, TERB2,
and MAJIN protein domains involved in the formation of the complex as well as
those required for the interaction with the telomere shelterin protein and the
LINC complexes revealed high sequence similarity across all clades. Finally,
gene expression in the cnidarian Hydra Vulgaris provided evidence that the
TERB1-TERB2-MAJIN complex is selectively expressed in the germline
suggesting conservation of meiotic functions across metazoan evolution.
In summary, this thesis provides significant insights into the meiosis-specific
telomere complex mechanism to engage telomeres to the nuclear envelope and
the elucidation of its origin in metazoans.
Touch sensation is the ability to perceive mechanical cues which is required for essential behaviors. These encompass the avoidance of tissue damage, environmental perception, and social interaction but also proprioception and hearing. Therefore research on receptors that convert mechanical stimuli into electrical signals in sensory neurons remains a topical research focus. However, the underlying molecular mechanisms for mechano-metabotropic signal transduction are largely unknown, despite the vital role of mechanosensation in all corners of physiology.
Being a large family with over 30 mammalian members, adhesion-type G protein-coupled receptors (aGPCRs) operate in a vast range of physiological processes. Correspondingly, diverse human diseases, such as developmental disorders, defects of the nervous system, allergies and cancer are associated with these receptor family. Several aGPCRs have recently been linked to mechanosensitive functions suggesting, that processing of mechanical stimuli may be a common feature of this receptor family – not only in classical mechanosensory structures.
This project employed Drosophila melanogaster as the candidate to analyze the aGPCR Latrophilin/dCIRL function in mechanical nociception in vivo. To this end, we focused on larval sensory neurons and investigated molecular mechanisms of dCIRL activity using noxious mechanical stimuli in combination with optogenetic tools to manipulate second messenger pathways. In addition, we made use of a neuropathy model to test for an involvement of aGPCR signaling in the malfunctioning peripheral nervous system. To do so, this study investigated and characterized nocifensive behavior in dCirl null mutants (dCirlKO) and employed genetically targeted RNA-interference (RNAi) to cell-specifically manipulate nociceptive function.
The results revealed that dCirl is transcribed in type II class IV peripheral sensory neurons – a cell type that is structurally similar to mammalian nociceptors and detects different nociceptive sensory modalities. Furthermore, dCirlKO larvae showed increased nocifensive behavior which can be rescued in cell specific reexpression experiments. Expression of bPAC (bacterial photoactivatable adenylate cyclase) in these nociceptive neurons enabled us to investigate an intracellular signaling cascade of dCIRL function provoked by light-induced elevation of cAMP. Here, the findings demonstrated that dCIRL operates as a down-regulator of nocifensive behavior by modulating nociceptive neurons. Given the clinical relevance of this results, dCirl function was tested in a chemically induced neuropathy model where it was shown that cell specific overexpression of dCirl rescued nocifensive behavior but not nociceptor morphology.
Manifestations of aggressive driving, such as tailgating, speeding, or swearing, are not trivial offenses but are serious problems with hazardous consequences—for the offender as well as the target of aggression. Aggression on the road erases the joy of driving, affects heart health, causes traffic jams, and increases the risk of traffic accidents. This work is aimed at developing a technology-driven solution to mitigate aggressive driving according to the principles of Persuasive Technology. Persuasive Technology is a scientific field dealing with computerized software or information systems that are designed to reinforce, change, or shape attitudes, behaviors, or both without using coercion or deception.
Against this background, the Driving Feedback Avatar (DFA) was developed through this work. The system is a visual in-car interface that provides the driver with feedback on aggressive driving. The main element is an abstract avatar displayed in the vehicle. The feedback is transmitted through the emotional state of this avatar, i.e., if the driver behaves aggressively, the avatar becomes increasingly angry (negative feedback). If no aggressive action occurs, the avatar is more relaxed (positive feedback). In addition, directly after an aggressive action is recognized by the system, the display is flashing briefly to give the driver an instant feedback on his action.
Five empirical studies were carried out as part of the human-centered design process of the DFA. They were aimed at understanding the user and the use context of the future system, ideating system ideas, and evaluating a system prototype. The initial research question was about the triggers of aggressive driving. In a driver study on a public road, 34 participants reported their emotions and their triggers while they were driving (study 1). The second research question asked for interventions to cope with aggression in everyday life. For this purpose, 15 experts dealing with the treatment of aggressive individuals were interviewed (study 2). In total, 75 triggers of aggressive driving and 34 anti-aggression interventions were identified. Inspired by these findings, 108 participants generated more than 100 ideas of how to mitigate aggressive driving using technology in a series of ideation workshops (study 3). Based on these ideas, the concept of the DFA was elaborated on. In an online survey, the concept was evaluated by 1,047 German respondents to get a first assessment of its perception (study 4). Later on, the DFA was implemented into a prototype and evaluated in an experimental driving study with 32 participants, focusing on the system’s effectiveness (study 5). The DFA had only weak and, in part, unexpected effects on aggressive driving that require a deeper discussion.
With the DFA, this work has shown that there is room to change aggressive driving through Persuasive Technology. However, this is a very sensitive issue with special requirements regarding the design of avatar-based feedback systems in the context of aggressive driving. Moreover, this work makes a significant contribution through the number of empirical insights gained on the problem of aggressive driving and wants to encourage future research and design activities in this regard.
Cell culture models are helpful tools to study inflammatory diseases, like rheumatoid arthritis (RA), osteoarthritis (OA), arteriosclerosis or asthma, which are linked to increased matrix metalloproteinase (MMP) activity. Such cell culture models often focus on the secretion of cytokines and growth factors or the direct effects of disease on tissue destruction. Even though the crucial role of MMPs in inflammatory diseases is known, the results of MMP studies are contradictious and the use of MMPs as biomarkers is inconsistent. MMPs play an important role in disease pathology, as they are involved in elastin degradation in the walls of alveoli in chronic obstructive pulmonary disease (COPD), tumor angiogenesis and metastasis and in cartilage and bone degradation in arthropathies. In RA and OA MMPs are secreted by osteocytes, synoviocytes, and by infiltrating immune cells in response to the increased concentration of inflammatory mediators, like growth factors and cytokines. MMPs are zinc and calcium-dependent proteinases and play an important role in physiological and pathological extracellular matrix (ECM) turn over. Their substrate specificity gives them the ability to degrade all major ECM components, like aggrecan, elastin, gelatin, fibronectin and all types of collagen even the triple helix of collagen monomers. The ECM consists of two large three-dimensional cross-linked macromolecule classes: one are fibrous proteins, like collagen and elastin fibers that are responsible for ECM’s structure, tensile strength, resiliency, reversible extensibility, and deformability and the second class is comprised of proteoglycans composed of glycosaminoglycan (GAG) chains covalently attached to protein cores that are multifunctionally involved in signaling pathways and cell interactions. ECM is present within all tissues and organs and changes in ECM structure contribute to pathogenesis, e.g. wounded and fibrotic tissue, COPD or tumours.
This thesis primarily focuses on the development of a diagnostic peptide system, that enables to gain information on MMP activity from ECM by deploying the isobaric mass encoding strategy. The core element of the developed system is an isotopically labelled peptide sequence (mass tag), that is released in response to elevated levels of MMPs and allows multiplexed detection in tandem mass spectrometry (LC-MS/MS). The mass reporters possess a modular structure with different functionalities. C-terminal either a transglutaminase (TG) recognition sequence or a high molecular weight polyethylene glycol (PEG) moiety was attached to immobilize the mass reporters covalently or physically at the injection site. The following matrix metalloproteinase substrate sequence (MSS) is incorporated in two different versions with different sensitivity to MMPs. The MSS were applied in pairs for relative quantification consisting of the cleavable version synthesized with natural L-amino acids and the non-cleavable D-amino acid variant. The mass tag was synthesized with isotopically labelled amino acids and is separated from the MSS by a UV light-sensitive molecule. N-terminal the mass tag is followed by a tobacco etch virus protease (TEV) sensitive sequence, that is responsible to separate the mass tag from the affinity tag, which was either the Strep-tag II sequence or biotin and were added for purification purposes.
Chapter 1 presents a step-by-step protocol on how to design a mass tag family allowing for multiplexed analysis by LC-MS/MS. The multiplexing is achieved by developing an isobar mass tag family with four family members, which are chromatographically indistinguishable, but due to the mass encoding principles they fragment in distinct y-type ions with a mass difference of 1 or 2 Da each in MS2. Furthermore, it is explained how to covalently attach the mass reporter peptides onto ECM by the activated calcium-catalyzed blood coagulation transglutaminase factor XIII (FXIIIa). The lysine of mass reporter’s TG sequence (D-domain of insulin-like growth factor-I (IGF-I)) and a glutamine in fibronectin are covalently crosslinked by FXIIIa and build an isopeptide bond. Elevated levels of MMP release the mass reporters from ECM by recognizing the inter-positioned MSS.
The designed mass reporters were able to monitor enzyme activity in an in vitro setting with cell-derived ECM, which was shown in Chapter 2. The modular structured mass reporters were investigated in a proof of concept study. First, the different modules were characterized in terms of their MMP responsiveness and their sensitivity to TEV protease and UV light. Then the FXIIIa-mediated coupling reaction was detailed and the successful coupling on ECM was visualized by an immunosorbent assay or confocal laser scanning microscopy. Finally, the immobilized mass reporters on ECM were incubated with MMP-9 to investigate their multiplexing ability of MMP activity. The cleaved mass reporter fragments were purified in three steps and mass tags were analyzed as mix of all four in LC-MS/MS.
Chapter 3 describes the change from an immobilizing system as seen in chapter 1 and 2 to a soluble enzyme activity monitoring system that was applied in an osteoarthritic mouse model. Instead of the immobilizing TG sequence the C-terminal MMS was extended with two amino acids where one holds an azide moiety to perform a strain-promoted azide-alkyne cycloaddition to a high molecular weight dibenzocyclooctyne-polyethylene glycol (DBCO-PEG), which was chosen to retain the mass reporters at the injection site. Furthermore, the N-terminal affinity tag was extended with a 2.5 kDa PEG chain to increase the half-life of the mass reporter peptides after MMP release. The systems biocompatibility was proved but its enzyme monitoring ability in an in vivo setting could not be analyzed as samples degraded during shipping resulting from the Chinese customs blocking transport to Germany.
In summary the diagnostic peptide system was developed in two variants. The immobilized version one from chapter 1 and 2 was designed to be covalently attached to ECM by the transglutaminase-mediated cross-linking reaction. In an in vitro setting the functionality of the mass reporter system for the detection of MMP activity was successfully verified. The second variant comprises of a soluble mass reporter system that was tested in an OA mouse model and showed biocompatibility. With these two designed systems this thesis provides a flexible platform based on multiplexed analysis with mass-encoded peptides to characterize cell culture models regarding their MMP activity, to deploy cell-derived ECM as endogenous depot scaffold and to develop a mass tag family that enables simultaneous detection of at least four mass tags.
Within the relatively new area of research on Third Language (L3) Acquisition, the subfield of phonology is growing, but still relatively understudied. Testing the current L3 models adopted from research on L3 syntax (see Rothman 2010, Bardel & Falk 2012, Flynn et al. 2004), the studies conducted in the area have mostly focused on the source and directionality of language transfer – both into the L3 and into the respective background languages – with some recent excursions into the role of extra-linguistic factors for multilingual learners (e.g., Wrembel 2015). The findings so far (mostly on production, with perception lagging behind) have been very diverse and, depending on the concrete study, can often be taken to give evidence for any of the prevalent models. This can be attributed to the wide range of different speaker and learner biographies as well as their language combinations and state of acquisition, but crucially the dilemma seems to be inherent in the (phonological) system in and of itself since viewing phonological interlanguage transfer as a one-dimensional and immediately transparent process based on direct correspondences between language systems does not seem to capture the complex nature of the phenomenon.
In this doctoral thesis I investigate the acquisition of an additional phonological system by child and adult German heritage speakers of Turkish. Specifically, I explore how the learners deal with diverse phonological contrasts that promote positive contra negative transfer from their HL (Turkish) and their L2 (German), and how their perception and production is modulated by cognitive and affective variables. Moreover, I test contrasts that can be found neither in the HL nor in the L2 phonological system.
The studies will shed light both on the question of how a new language is shaped and affected by different existing systems and on how two or more phonological grammars co-exist and/or interact in a speaker’s mind. I will argue that, rather than being regarded as simple full projection of language-specific property sets onto the target language, phonological transfer in multilinguals needs to be considered as a process of complex interactions and layers that are established on the level of individual phonological properties and abstract (typological) associations.
This thesis is divided into two parts.
In the first part we contribute to a working program initiated by Pudlák (2017) who lists several major complexity theoretic conjectures relevant to proof complexity and asks for oracles that separate pairs of corresponding relativized conjectures. Among these conjectures are:
- \(\mathsf{CON}\) and \(\mathsf{SAT}\): coNP (resp., NP) does not contain complete sets that have P-optimal proof systems.
- \(\mathsf{CON}^{\mathsf{N}}\): coNP does not contain complete sets that have optimal proof systems.
- \(\mathsf{TFNP}\): there do not exist complete total polynomial search problems (also known as total NP search problems).
- \(\mathsf{DisjNP}\) and \(\mathsf{DisjCoNP}\): There do not exist complete disjoint NP pairs (coNP pairs).
- \(\mathsf{UP}\): UP does not contain complete problems.
- \(\mathsf{NP}\cap\mathsf{coNP}\): \(\mathrm{NP}\cap\mathrm{coNP}\) does not contain complete problems.
- \(\mathrm{P}\ne\mathrm{NP}\).
We construct several of the oracles that Pudlák asks for.
In the second part we investigate the computational complexity of balance problems for \(\{-,\cdot\}\)-circuits computing finite sets of natural numbers (note that \(-\) denotes the set difference). These problems naturally build on problems for integer expressions and integer circuits studied by Stockmeyer and Meyer (1973), McKenzie and Wagner (2007), and Glaßer et al. (2010).
Our work shows that the balance problem for \(\{-,\cdot\}\)-circuits is undecidable which is the first natural problem for integer circuits or related constraint satisfaction problems that admits only one arithmetic operation and is proven to be undecidable.
Starting from this result we precisely characterize the complexity of balance problems for proper subsets of \(\{-,\cdot\}\). These problems turn out to be complete for one of the classes L, NL, and NP.
The technique to manipulate cells or living animals by illumination after gene transfer of light-sensitive proteins is called optogenetics. Successful optogenetics started with the use of the light-gated cation channel channelrhodopsin-2 (ChR2). After early demonstrations of the power of ChR2, further light-sensitive ion channels and ion pumps were recruited to the optogenetic toolbox. Furthermore, mutations and chimera of ChR2 improved its versatility.
However, there is still a need for improved optogenetic tools, e.g. with higher permeability for calcium or better expression in the plasma membrane. In this thesis, my work focuses on the design of highly functional channelrhodopsins with enhanced Na+ and Ca2+ conductance.
First, I tested different N-terminal signal peptides to improve the plasma membrane targeting of Channelrhodopsins. We found that a N-terminal peptide, named LR, could improve the plasma membrane targeting of many rhodopsins. Modification with LR contributed to three to ten-fold larger photocurrents (than that of the original version) of multiple channelrhodopsins, like ChR2 from C. reinhardtii (CrChR2), PsChR, Chrimson, CheRiff, CeChR, ACRs, and the light-activated pump rhodopsins KR2, Jaw, HR.
Second, by introducing point mutation, I could further improve the light sensitivity and photocurrent of different channelrhodopsins. For instance, ChR2-XXM 2.0, ChR2-XXL 2.0 and PsChR D139H 2.0 exhibited hundred times larger photocurrents than wild type ChR2 and they show high light sensitivity. Also, the Ca2+ permeable channelrhodopsins PsCatCh 2.0f and PsCatCh 2.0e show very large photocurrents and fast kinetics. In addition, I also characterized a novel bi-stable CeChR (from the acidophilic green alga Chlamydomonas eustigma) with a much longer closing time.
Third, I analysed the ion selectivity of different ChRs, which provides a basis for rational selection of channelrhodopsins for different experimental purposes. I demonstrate that ChR2, Chronos, Chrimson, CheRiff and CeChR are highly proton conductive, compared with wild type PsChR. Interestingly, Chronos has the lowest potassium conductance among these channelrhodopsins. Furthermore, I found that mutation of an aspartate in TM4 of ChR2 (D156) and PsChR (D139) to histidine obviously increased both the sodium and calcium permeability while proton conductance was reduced. PsChR D139H 2.0 has the largest sodium conductance of any published channelrhodopsin variants. Additionally, I generated PsCatCh 2.0e which exhibits a ten-fold larger calcium current than the previously reported Ca2+ transporting CrChR2 mutant CatCh.
In summary, my research work
1.) described strategies for improving plasma membrane trafficking efficiency of opsins;
2.) yielded channelrhodopsins with fast kinetics or high light sensitivity;
3.) provided optogenetic tools with improved calcium and sodium conductance.
We could also improve the performance of channelrhodopsins with distinct action spectra, which will facilitate two-color neural excitation, both in-vitro and in-vivo.
Plasma membrane receptors are the most crucial and most commonly studied components of cells, since they not only ensure communication between the extracellular space and cells, but are also responsible for the regulation of cell cycle and cell division. The composition of the surface receptors, the so-called "Receptome", differs and is characteristic for certain cell types. Due to their significance, receptors have been important target structures for diagnostic and therapy in cancer medicine and often show aberrant expression patterns in various cancers compared to healthy cells. However, these aberrations can also be exploited and targeted by different medical approaches, as in the case of personalized immunotherapy. In addition, advances in modern fluorescence microscopy by so-called single molecule techniques allow for unprecedented sensitive visualization and quantification of molecules with an attainable spatial resolution of 10-20 nm, allowing for the detection of both stoichiometric and expression density differences.
In this work, the single molecule sensitive method dSTORM was applied to quantify the receptor composition of various cell lines as well as in primary samples obtained from patients with hematologic malignancies. The focus of this work lies on artefact free quantification, stoichiometric analyses of oligomerization states and co localization analyses of membrane receptors.
Basic requirements for the quantification of receptors are dyes with good photoswitching properties and labels that specifically mark the target structure without generating background through non-specific binding. To ensure this, antibodies with a predefined DOL (degree of labeling) were used, which are also standard in flow cytometry. First background reduction protocols were established on cell lines prior analyses in primary patient samples. Quantitative analyses showed clear expression differences between the cell lines and the patient cells, but also between individual patients.
An important component of this work is the ability to detect the oligomerization states of receptors, which enables a more accurate quantification of membrane receptor densities compared to standard flow cytometry. It also provides information about the activation of a certain receptor, for example of FLT3, a tyrosine kinase, dimerizing upon activation. For this purpose, different well-known monomers and dimers were compared to distinguish the typical localization statistics of single bound antibodies from two or more antibodies that are in proximity. Further experiments as well as co localization analyses proved that antibodies can bind to closely adjacent epitopes despite their size.
These analytical methods were subsequently applied for quantification and visualization of receptors in two clinically relevant examples. Firstly, various therapeutically relevant receptors such as CD38, BCMA and SLAMF7 for multiple myeloma, a malignant disease of plasma cells, were analyzed and quantified on patient cells. Furthermore, the influence of TP53 and KRAS mutations on receptor expression levels was investigated using the multiple myeloma cell lines OPM2 and AMO1, showing clear differences in certain receptor quantities.
Secondly, FLT3 which is a therapeutic target receptor for acute myeloid leukemia, was quantified and stoichiometrically analyzed on both cell lines and patient cells. In addition, cells that have developed resistance against midostaurin were compared with cells that still respond to this type I tyrosine-kinase-inhibitor for their FLT3 receptor expression and oligomerization state.
The family of trypanosomatid parasites, including the human pathogens Trypanosoma brucei and Leishmania, has evolved sophisticated strategies to survive in harmful host environments. While Leishmania generate a safe niche inside the host’s macrophages, Trypanosoma brucei lives extracellularly in the mammalian bloodstream, where it is constantly exposed to the attack of the immune system. Trypanosoma brucei ensures its survival by periodically changing its protective surface coat in a process known as antigenic variation. The surface coat is composed of one species of ‘variant surface glycoprotein’ (VSG). Even though the genome possesses a large repertoire of different VSG isoforms, only one is ever expressed at a time from one out of the 15 specialized subtelomeric ‘expression sites’ (ES). Switching the coat can be accomplished either by a recombination-based exchange of the actively-expressed VSG with a silent VSG, or by a transcriptional switch to a previously silent ES.
The conserved histone methyltransferase DOT1B methylates histone H3 on lysine 76 and is involved in ES regulation in T. brucei. DOT1B ensures accurate transcriptional silencing of the inactive ES VSGs and influences the kinetics of a transcriptional switch. The molecular machinery that enables DOT1B to execute these regulatory functions at the ES is still elusive, however. To learn more about DOT1B-mediated regulatory processes, I wanted to identify DOT1B-associated proteins.
Using two complementary approaches, specifically affinity purification and proximity-dependent biotin identification (BioID), I identified several novel DOT1B-interacting candidates. To validate these data, I carried out reciprocal co-immunoprecipitations with the most promising candidates. An interaction of DOT1B with the Ribonuclease H2 protein complex, which has never been described before in any other organism, was confirmed. Trypanosomal Ribonuclease H2 maintains genome integrity by resolving RNA-DNA hybrids, structures that if not properly processed might initiate antigenic variation. I then investigated DOT1B’s contribution to this novel route to antigenic variation. Remarkably, DOT1B depletion caused an increased RNA-DNA hybrid abundance, accumulation of DNA damage, and increased VSG switching. Deregulation of VSGs from throughout the silent repertoire was observed, indicating that recombination-based switching events occurred. Encouragingly, the pattern of deregulated VSGs was similar to that seen in Ribonuclease H2-depleted cells. Together these data support the hypothesis that both proteins act together in modulating RNA-DNA hybrids to contribute to the tightly-regulated process of antigenic variation.
The transmission of trypanosomatid parasites to mammalian hosts is facilitated by insect vectors. Parasites need to adapt to the extremely different environments encountered during transmission. To ensure their survival, they differentiate into various specialized forms adapted to each tissue microenvironment. Besides antigenic variation, DOT1B additionally affects the developmental differentiation from the mammalian-infective to the insect stage of Trypanosoma brucei. However, substantially less is known about the influence of chromatin-associated proteins such as DOT1B on survival and adaptation strategies of related Leishmania parasites. To elucidate whether DOT1B’s functions are conserved in Leishmania, phenotypes after gene deletion were analyzed. As in Trypanosoma brucei, generation of a gene deletion mutant demonstrated that DOT1B is not essential for the cell viability in vitro. DOT1B deletion was accompanied with a loss of histone H3 lysine 73 trimethylation (the lysine homologous to trypanosomal H3K76), indicating that Leishmania DOT1B is also solely responsible for catalyzing this post-translational modification. As in T. brucei, dimethylation could only be observed during mitosis/cytokinesis, while trimethylation was detectable throughout the cell cycle in wild-type cells. In contrast to the trypanosome DOT1B, LmxDOT1B was not essential for differentiation in vitro. However, preliminary data indicate that the enzyme is required for effective macrophage infection.
In conclusion, this study demonstrated that the identification of protein networks and the characterization of protein functions of orthologous proteins from related parasites are effective tools to improve our understanding of the parasite survival strategies. Such insights are a necessary step on the road to developing better treatments for the devastating diseases they cause.
DD is a cardiac disturbance, which has gained increasing importance in recent years due to its important role in different cardiac disease and cardiomyopathies including ischemic cardiomyopathy, arterial hypertension and diabetic cardiomyopathy.
ECG-gated 18F-FDG PET is an imaging technique, that can distinguish between districts of myocardial viability and myocardial scars and further provides information of great interest on the efficacy of experimental approaches designed to improve the cardiac function and/or myocardial metabolism in experimental small animal models. However, ECG-gated 18F-FDG PET is a technique whose feasibility in the assessment of the LV diastolic function in small animals has not been a subject of study.
In this thesis, the ability of the ECG-gated 18F-FDG PET for the assessment of both the systolic and diastolic function in eight control rats and in seven ZDF rats, which are an experimental animal model mimicking T2DM conditions and diabetic related complications in humans including DCM, has been investigated The ECG-gated 18F-FDG PET imaging was performed under hyperinsulinemic-euglycemic clamping and the data were stored in list mode files and retrospectively reconstructed. The systolic and diastolic parameters were achieved from the time/volume and the time/filling curve calculated from the software HFV. Additionally, the influence of the number of gates per cardiac cycle on the LV volumes and function parameters has been studied.
Hyperinsulinemic-euglycemic clamp procedure and blood glucose measurement did confirm the development of a manifest diabetes in the ZDF rats at the timepoint of the experiments.
Regarding the systolic parameters, no significant difference could be detected between the ZDF and ZL rats. The values for the CO were similar in both groups, which demonstrates a similar LV systolic function in the ZDF and the ZL rats at the age of 13 weeks. Values for the systolic parameters are in good line with previous PET, MRI and cardiac catheterization-based studies in diabetic rats.
The main finding of this study was that by using in vivo ECG-gated 18F-FDG PET and the software HFV, reliable diastolic parameters could be calculated. Moreover, it was possible to detect the presence of a mild impaired diastolic filling in the ZDF rats in absence of any systolic alteration. This impaired diastolic function in an early stage of diabetes could also be detected by other investigators, who used echocardiography or cardiac catheterization. Therefore, this is the first study showing, that the assessment of the diastolic function in rats can be carried out by ECG-gated 18F-FDG PET imaging.
In conclusion, additionally to calculating LV volumes and LV EF, ECG-gated 18F-FDG PET can evaluate the diastolic function of healthy and diabetic rats and is able to detect a DD in ZDF rats.
Obesity-induced diabetes affects over 400 million people worldwide. Obesity is a complex metabolic disease and is associated with several co-morbidities, all of which negatively affect the individual’s quality of life. It is commonly considered that obesity is a result of a positive energy misbalance, as increased food intake and lower expenditure eventually lead to the development of this disease. Moreover, the pathology of obesity is attributed to several genetic and epigenetic factors that put an individual at high risk compared to another. Adipose tissue is the main site of the organism’s energy storage. During the time when the nutrients are available in excess, adipocytes acquire triglycerides, which are released during the time of food deprivation in the process of lipolysis (free fatty acids and glycerol released from adipocytes). Uncontrolled lipolysis is the consequent event that contributes to the development of diabetes and paradoxically obesity. To identify the genetic factors aiming for future therapeutic avenues targeting this pathway, we performed a high-throughput screen and identified the Extracellular-regulated kinase 3 (ERK3) as a hit. We demonstrate that β-adrenergic stimulation stabilizes ERK3 leading to the formation of a complex with the co-factor MAP kinase-activated protein kinase 5 (MK5) thereby driving lipolysis. Mechanistically, we identify a downstream target of the ERK3/MK5 pathway, the transcription factor FOXO1, which promotes the expression of the major lipolytic enzyme ATGL. Finally, we provide evidence that targeted deletion of ERK3 in mouse adipocytes inhibits lipolysis, but elevates energy dissipation, promoting lean phenotype and ameliorating diabetes. Moreover, we shed the light on our pharmacological approach in targeting ERK3/MK5 pathways using MK5 specific inhibitor. Already after 1 week of administering the inhibitor, mice showed signs of improvement of their metabolic fitness as showed here by a reduction in induced lipolysis and the elevation in the expression of thermogenic genes. Taken together, our data suggest that targeting the ERK3/MK5 pathway, a previously unrecognized signaling axis in adipose tissue, could be an attractive target for future therapies aiming to combat obesity-induced diabetes.
Spin-Orbit Torques and Galvanomagnetic Effects Generated by the 3D Topological Insulator HgTe
(2021)
Nature shows us only the tail of the lion. But I have no doubt that the lion belongs with it even if he cannot reveal himself all at once. Albert Einstein
In my dissertation, I addressed the question of whether the 3D topological insulator mercury telluride (3D TI HgTe) is a suitable material for spintronics applications. This question was addressed by investigating the SOTs generated by the 3D TI HgTe in an adjacent ferromagnet (Permalloy) by using the ferromagnetic resonance technique (SOT-FMR).
In the first part of the dissertation, the reader was introduced to the mathematical description of the SOTs of a hybrid system consisting of a topological insulator (TI) and a ferromagnet (FM). Furthermore, the sample preparation and the measurement setup for the SOT-FMR measurements were discussed. Our SOT-FMR measurements showed that at low temperatures (T = 4.2 K) the out-of-plane component of the torque is dominant. At room temperature, both in-plane and out-of-plane components of the torque could be observed. From the symmetry of the mixing voltage (Figs. 3.14 and 3.15) we could conclude that the 3D TI HgTe may be efficient for the generation of spin torques in the permalloy [1]. The investigations reported here showed that the SOT efficiencies generated by the 3D TI HgTe are comparable with other existent topological insulators (see Fig. 3.17). We also discussed in detail the parasitic effects (such as thermovoltages) that can contribute to the correct interpretation of the spin torque efficiencies.
Although the results reported here provide several indications that the 3D TI HgTe might be efficient in exerting spin-torques in adjacent ferromagnets [2], the reader was repeatedly made aware that parasitic effects might contaminate the correct writing and reading of the information in the ferromagnet. These effects should be taken into consideration when interpreting results in the published literature claiming high spin-orbit torque efficiencies [2–4]. The drawbacks of the SOT-FMR measurement method led to a further development of our measurement concept, in which the ferromagnet on top of the 3D TI HgTe was replaced by a
spin-valve structure. In contrast with our measurements, in this measurement setup, the current flowing through the HgTe is known and changes in the spin-valve resistance can be read via the GMR effect.
Moreover, the SOT-FMR experiments required the application of an in-plane magnetic field up to 300 mT to define the magnetization direction in the ferromagnet. Motivated by this fact, we investigated the influence of an in-plane magnetic field in the magnetoresistance of the 3D TI HgTe. The surprising results of these measurements are described in the second part of the dissertation. Although the TI studied here is non-magnetic, its transversal MR (Rxy) showed an oscillating behavior that depended on the angle between the in-plane magnetic field and the electrical current. This effect is a typical property of ferromagnetic materials and is called planar Hall effect (PHE) [5, 6]. Moreover, it was also shown that the PHE amplitude (Rxy) and the longitudinal resistance (Rxx) oscillate as a function of the in-plane magnetic field amplitude for a wide range of carrier densities of the topological insulator.
The PHE was already described in another TI material (Bi2−xSbxTe3) [7]. The authors suggested as a possible mechanism the scattering of the electron off impurities that are polarized by an in-plane magnetic field. We critically discussed this and other theoretical proposed mechanisms existent in the literature [8, 9].
In this thesis, we attempted to explain the origin of the PHE in the 3D TI HgTe by anisotropies in the band structure of this material. The k.p calculations based on 6-orbitals were able to demonstrate that an interplay between Rashba, Dresselhaus, and in-plane magnetic field deforms the Fermi contours of the camel back band of the 3D TI HgTe, which could lead to anisotropies in its conductivity. However, the magnetic fields needed to experimentally observe this effect are as
high as 40 T, i.e., one order of magnitude higher than reported in our experiments. Additionally, calculations of the DoS to assess if there is a difference in the states for Bin parallel and Bin perpendicular to the current were, so far, inconclusive. Moreover, the complicated dependence of Rashba in the p-conducting
regime of HgTe [10] makes it not straightforward the inclusion of this term in the band structure calculations.
Despite the extensive efforts to understand the origin of the galvanomagnetic effects in the 3D TI HgTe, we could not determine a clear mechanism for the origin of the PHE and the MR oscillations studied in this thesis. However, our work clarifies and excludes a few mechanisms reported in the literature as the origin of these effects in the 3D TI HgTe. The major challenge, which still needs to be overcome, is to find a model that simultaneously explains the PHE, the gate dependence, and the oscillations in the magnetoresistance of the 3D TI HgTe as a function of the in-plane magnetic field.
To conclude, the author would like to express her hope to have brought the reader closer to the complexity of the questions addressed in this thesis and to have initiated them into the art of properly conducting electrical transport measurements on topological insulators with in-plane magnetic fields.
The oncogene MYC is deregulated and overexpressed in a high variety of human
cancers and is considered an important driver in tumorigenesis. The MYC protein
binds to virtually all active promoters of genes which are also bound by the RNA
Polymerase II (RNAPII). This results in the assumption that MYC is a transcription
factor regulating gene expression. The effects of gene expression are weak and often
differ depending on the tumor entities or MYC levels. These observations could
argue that the oncogene MYC has additional functions independent of altering gene
expression. In relation to this, the high diversity of interaction partners might be
important. One of them is the RNAPII associated Factor I complex (PAF1c).
In this study, direct interaction between PAF1c and MYC was confirmed in an
in-vitro pulldown assay. ChIP sequencing analyses revealed that knockdown of PAF1c
components resulted in reduced MYC occupancy at active promoters. Depletion
or activation as well as overexpression of MYC led to reduced or enhanced global
occupancy of PAF1c in the body of active genes, arguing that MYC and PAF1c
bind cooperatively to chromatin. Upon PAF1c knockdown cell proliferation was
reduced and additionally resulted in an attenuation of activation or repression of
MYC-regulated genes. Interestingly, knockdown of PAF1c components caused an
accumulation in S-phase of cells bearing oncogenic MYC levels. Remarkably, enhanced
DNA damage, measured by elevated gH2AX and pKAP1 protein levels, was observed
in those cells and this DNA damage occurs specifically during DNA synthesis.
Strikingly, MYC is involved in double strand break repair in a PAF1c-dependent
manner at oncogenic MYC levels.
Collectively the data show that the transfer of PAF1c from MYC onto the RNAPII
couples the transcriptional elongation with double strand break repair to maintain
the genomic integrity in MYC-driven tumor cells.
The importance of understanding species extinctions and its consequences for ecosystems and human life has been getting increasing public attention.
Nonetheless, regardless of how pressing the current biodiversity loss is, with rare exceptions, extinctions are actually not immediate.
Rather, they happen many generations after the disturbance that caused them.
This means that, at any point in time after a given disturbance, there is a number of extinctions that are expected to happen.
This number is the extinction debt.
As long as all the extinctions triggered by the disturbance have not happened, there is a debt to be paid.
This delay in extinctions can be interpreted as a window of opportunity, when conservation measures can be implemented.
In this thesis, I investigated the relative importance of ecological and evolutionary processes unfolding after different disturbances scenarios, to understand how this knowledge can be used to improve conservation practices aiming at controlling extinctions.
In the Introduction (chapter 1), I present the concept of extinction debts and the complicating factors behind its understanding.
Namely, I start by presenting i) the theoretical basis behind the definition of extinction debts, and how each theory informed different methodologies of study, ii) the complexity of understanding and predicting eco-evolutionary dynamics, and iii) the challenges to studying extinctions under a regime of widespread and varied disturbance of natural habitats.
I start the main body of the thesis (chapter 2) by summarizing the current state of empirical, theoretical, and methodological research on extinction debts.
In the last 10 years, extinction debts were detected all over the globe, for a variety of ecosystems and taxonomic groups.
When estimated - a rare occurrence, since quantifying debts requires often unavailable data - the sizes of these debts range from 9 to 90\% of current species richness and they have been sustained for periods ranging from 5 to 570 yr.
I identified two processes whose contributions to extinction debts have been studied more often, namely 1) life-history traits that prolong individual survival, and 2) population and metapopulation dynamics that maintain populations under deteriorated conditions.
Less studied are the microevolutionary dynamics happening during the payment of a debt, the delayed conjoint extinctions of interaction partners, and the extinction dynamics under different regimes of disturbances (e.g. habitat loss vs. climate change).
Based on these observations, I proposed a roadmap for future research to focus on these less studies aspects.
In chapters 3 and 4, I started to follow this roadmap.
In chapter 3, I used a genomically-explicit, individual-based model of a plant community to study the microevolutionary processes happening after habitat loss and climate change, and potentially contributing to the settlement of a debt.
I showed that population demographic recovery through trait adaptation, i.e. evolutionary rescue, is possible.
In these cases, rather than directional selection, trait change involved increase in trait variation, which I interpreted as a sign of disruptive selection.
Moreover, I disentangled evolutionary rescue from demographic rescue and show that the two types of rescue were equally important for community resistance, indicating that community re-assembly plays an important role in maintaining diversity following disturbance.
The results demonstrated the importance of accounting for eco-evolutionary processes at the community level to understand and predict biodiversity change.
Furthermore, they indicate that evolutionary rescue has a limited potential to avoid extinctions under scenarios of habitat loss and climate change.
In chapter 4, I analysed the effects of habitat loss and disruption of pollination function on the extinction dynamics of plant communities.
To do it, I used an individual, trait-based eco-evolutionary model (Extinction Dynamics Model, EDM) parameterized according to real-world species of calcareous grasslands.
Specifically, I compared the effects of these disturbances on the magnitude of extinction debts and species extinction times, as well as how species functional traits affect species survival.
I showed that the loss of habitat area generates higher number of immediate extinctions, but the loss of pollination generates higher extinction debt, as species take longer to go extinct.
Moreover, reproductive traits (clonal ability, absence of selfing and insect pollination) were the traits that most influenced the occurrence of species extinction as payment of the debt.
Thus, the disruption of pollination functions arose as a major factor in the creation of extinction debts.
Thus, restoration policies should aim at monitoring the status of this and other ecological processes and functions in undisturbed systems, to inform its re-establishment in disturbed areas.
Finally, I discuss the implications of these findings to i) the theoretical understanding of extinction debts, notably via the niche, coexistence, and metabolic theories, ii) the planning conservation measures, including communicating the very notion of extinction debts to improve understanding of the dimension of the current biodiversity crisis, and iii) future research, which must improve the understanding of the interplay between extinction cascades and extinction debts.
The Princes’ War in South Germany (1458-1463) was the biggest military collision in the German lands in the middle of the fifteenth century. The most prominent princes of southern Germany participated in this struggle.
Due to its significant scope, this conflict provides a valuable case study for achieving a better understanding of the conditions at the heart of the Holy Roman Empire at the sunset of the Middle Ages. The purpose of this study was to fill an existing gap in the modern research literature and provide a comprehensive up-to date monograph on the subject.
The study was realized mainly on the basis of archival work and primary sources. Thousands of letters and documents exchanged between the princes, their advisors and the city representatives were carefully studied and analysed. Extensive use of printed sources as well as scientific literature also greatly facilitated this research.
The first part of the dissertation provides a detailed description of the war itself and the events that led to it. In the initial phase of the struggle, Albrecht Achilles used his position as the imperial captain to advance his own interests. His actions enraged both Duke Ludwig and Elector Friedrich and made the war unavoidable. For more than two years two major coalitions of princes exchanged blows but as the dust settled the status quo ante bellum was restored in the eastern theatre of actions, while at the western front Elector Friedrich forced each of his opponents to make serious concessions.
The second part of the dissertation is devoted to honor and reputation. It explores how these two constituents affected the actions and decision-making of the princes. The lack of a powerful arbiter allowed each of the princes to interpret the meaning of “right” and “justice” as most suited him, although they hardly intentionally misused these terms. Thus, more often than not, the important actors seemed to believe in the appropriateness of their deeds. Nevertheless, despite frequent emotional response, in the competition between emotions and cold calculation the latter usually prevailed.
The conflict showed the confines of each of its major participants and the modus operandi of the Empire that prevented change and was tuned to keep the old order of things.
Corfu is a framework for satellite software, not only for the onboard part but also for the ground. Developing software with Corfu follows an iterative model-driven approach. The basis of the process is an engineering model. Engineers formally describe the basic structure of the onboard software in configuration files, which build the engineering model. In the first step, Corfu verifies the model at different levels. Not only syntactically and semantically but also on a higher level such as the scheduling.
Based on the model, Corfu generates a software scaffold, which follows an application-centric approach. Software images onboard consist of a list of applications connected through communication channels called topics. Corfu’s generic and generated code covers this fundamental communication, telecommand, and telemetry handling. All users have to do is inheriting from a generated class and implement the behavior in overridden methods. For each application, the generator creates an abstract class with pure virtual methods. Those methods are callback functions, e.g., for handling telecommands or executing code in threads.
However, from the model, one can not foresee the software implementation by users. Therefore, as an innovation compared to other frameworks, Corfu introduces feedback from the user code back to the model. In this way, we extend the engineering model with information about functions/methods, their invocations, their stack usage, and information about events and telemetry emission. Indeed, it would be possible to add further information extraction for additional use cases. We extract the information in two ways: assembly and source code analysis. The assembly analysis collects information about the stack usage of functions and methods.
On the one side, Corfu uses the gathered information to accomplished additional verification steps, e.g., checking if stack usages exceed stack sizes of threads. On the other side, we use the gathered information to improve the performance of onboard software. In a use case, we show how the compiled binary and bandwidth towards the ground is reducible by exploiting source code information at run-time.