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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.
Articular cartilage is an exceptional connective tissue which by a network of fibrillar collagen and glycosaminoglycan (GAG) molecules allows both low- friction articulation and distribution of loads to the subchondral bone (Armiento et al., 2018, Ulrich-Vinther et al., 2003). Because of its very limited ability to self-repair, chondral defects following traumatic injury increase the risk for secondary osteoarthritis (OA) (Muthuri et al., 2011). Still, current OA treatments such as common nonsteroidal anti-inflammatory drugs (NSAIDs) and joint replacement primarily address end-stage symptoms (Tonge et al., 2014). As low-grade inflammation plays a pivotal role in the pathogenesis of OA (Robinson et al., 2016), there is a strong demand for novel therapeutic concepts, such as integrating application of anti-inflammatory agents into cartilage cell- based therapies in order to effectively treat OA affected joints in early disease stages. The polyphenolic phytoalexin resveratrol (RSV), found in the skin of red grapes, berries, and peanuts, has been shown to have effective anti-inflammatory properties (Shen et al., 2012). However, its long-term effects on 3D chondrocyte constructs cultured in an inflammatory environment with regard to tissue quality have remained unexplored so far. Therefore, in this study, pellets made from expanded porcine articular chondrocytes were cultured for 14 days with either the pro-inflammatory cytokine interleukin-1β (IL-1β) (1 - 10 ng/ml) or RSV (50 μM) alone, or a co-treatment with both agents. Constructs treated with chondrocyte medium only served as control. Treatment with IL-1β at 10 ng/ml resulted in a significantly smaller pellet size and reduced DNA content. However, RSV counteracted the IL-1β-induced decrease and significantly enhanced diameter and DNA content. Also, in terms of GAG deposition, treatment with IL-1β at 10 ng/ml resulted in a tremendous depletion of absolute GAG content and GAG/DNA. Again, RSV co-treatment counteracted the inflammatory stimulus and led to a partial recovery of GAG content. Histological analysis utilizing safranin-O staining confirmed these findings. Marked expression of the cartilage-degrading enzyme matrix metalloproteinase 13 (MMP13) was detected in IL-1β-treated pellets, but none upon RSV co- treatment. Moreover, co-treatment of IL-1β-challenged constructs with RSV significantly increased absolute collagen content. However, under non- inflammatory conditions, RSV induced gene expression and protein accumulation of collagen type X, a marker for undesirable hypertrophy. Taken together, in the present thesis, RSV was demonstrated to elicit marked beneficial effects on the extracellular matrix composition of 3D cartilaginous constructs in long-term inflammatory culture in vitro, but also induced hypertrophy under non-inflammatory conditions. Based on these findings, further experiments examining multiple concentrations of RSV under various inflammatory conditions appear desirable concerning potential therapeutic applicability in OA.
π-Conjugated oligomers and polymers with tricoordinate boron centers incorporated into the main chain have attracted considerable attention as the interaction of the vacant p orbital on boron with an adjacent π system of the chain leads to conjugated materials with intriguing optical and electronic properties. This enables applicability in organic electronics and optoelectronics (OLEDs, OFETs, photovoltaics) or as sensory materials.
The potential of our B–C coupling protocol using metal-free catalytic Si/B exchange condensation is demonstrated by the synthesis of a series of π-conjugated monodisperse (het)aryl oligoboranes. Variation of the (het)aryl moieties allowed for tunability of the optoelectronic properties of the materials. Additionally, catalytic C–C cross-coupling strategies were applied to synthesize oligofuryl-based mono- and bisboranes, as well as polymers. These studies led to very robust and highly emissive compounds (f up to 97 %), which allow for tuning of their emission color from blue to orange. Furthermore, this work includes investigations of reaction routes to a kinetically stabilized tetraoxaporphyrinogen.
Being a key aspect of this work, a full investigation of the mechanism of the catalytic Si/B exchange was carried out. Additionally, this work presents the use of borenium cations to perform B–C coupling via intermolecular electrophilic borylation. Similar to the Si/B exchange, this route is capable of giving access to diaryl(bromo)boranes.
This thesis investigates different ligand designs for Ru(II) complexes and the activity of the complexes as photosensitizer (PS) in photocatalytic hydrogen evolution. The catalytic system typically contains a catalyst, a sacrificial electron donor (SED) and a PS, which needs to exhibit strong absorption and luminescence, as well as reversible redox behavior. Electron-withdrawing pyridine substituents on the terpyridine metal ion receptor result in an increase of excited-state lifetime and quantum yield (Φ = 74*10-5; τ = 3.8 ns) and lead to complex III-C1 exhibiting activity as PS. While the turn-over frequency (TOFmax) and turn-over number (TON) are relatively low (TOFmax = 57 mmolH2 molPS-1 min-1; TON(44 h) = 134 mmolH2 molPS-1), the catalytic system is long-lived, losing only 20% of its activity over the course of 12 days. Interestingly, the heteroleptic design in III-C1 proves to be beneficial for the performance as PS, despite III-C1 having comparable photophysical and electrochemical properties as the homoleptic complex IV-C2 (TOFmax = 35 mmolH2 molPS-1 min-1; TON(24 h) = 14 mmolH2 molPS-1). Reductive quenching of the excited PS by the SED is identified as rate-limiting step in both cases.
Hence, the ligands are designed to be more electron-accepting either via N-methylation of the peripheral pyridine substituents or introduction of a pyrimidine ring in the metal ion receptor, leading to increased excited-state lifetimes (τ = 9–40 ns) and luminescence quantum yields (Φ = 40–400*10-5). However, the more electron-accepting character of the ligands also results in anodically shifted reduction potentials, leading to a lack of driving force for the electron transfer from the reduced PS to the catalyst. Hence, this electron transfer step is found to be a limiting factor to the overall performance of the PS. While higher TOFmax in hydrogen evolution experiments are observed for pyrimidine-containing PS (TOFmax = 300–715 mmolH2 molPS-1 min-1), the longevity for these systems is reduced with half-life times of 2–6 h.
Expansion of the pyrimidine-containing ligands to dinuclear complexes yields a stronger absorptivity (ε = 100–135*103 L mol-1 cm-1), increased luminescence (τ = 90–125 ns, Φ = 210–350*10-5) and can also result in higher TOFmax given sufficient driving force for electron transfer to the catalyst (TOFmax = 1500 mmolH2 molPS-1 min-1). When comparing complexes with similar driving forces, stronger luminescence is reflected in a higher TOFmax. Besides thermodynamic considerations, kinetic effects and electron transfer efficiency are assumed to impact the observed activity in hydrogen evolution. In summary, this work shows that targeted ligand design can make the previously disregarded group of Ru(II) complexes with tridentate ligands attractive candidates for use as PS in photocatalytic hydrogen evolution.
The present thesis concerns the molecular imaging of opioid receptors and human butyrylcholinesterase with the aid of tailored probes, which are suitable for the respective applied imaging techniques. The first part focusses on imaging of opioid receptors with selective probes using total internal reflection- and single molecule fluorescence microscopy. Design and synthesis of the ligands are presented and their pharmacological characterization and application in microscopy experiments are shown. The second part of this thesis focused on the development of 18F-labeled, selective radiotracers for imaging of butyrylcholinesterase via positron emission tomography. The design and synthesis of each a reversible and pseudoirreversible 18F-labeled tracer are presented. After evaluation of the binding properties of each tracer, their initial application in ex vivo autoradiography- and preliminary in vivo microPET studies is described and analyzed.
Owing to climate change, natural forest disturbances and consecutive salvage logging are drastically increasing worldwide, consequently increasing the importance of understanding how these disturbances would affect biodiversity conservation and provision of ecosystem services.
In chapter II, I used long-term water monitoring data and mid-term data on α-diversity of twelve species groups to quantify the effects of natural disturbances (windthrow and bark beetle) and salvage logging on concentrations of nitrate and dissolved organic carbon (DOC) in streamwater and α-diversity. I found that natural disturbances led to a temporal increase of nitrate concentrations in streamwater, but these concentrations remained within the health limits recommended by the World Health Organization for drinking water. Salvage logging did not exert any additional impact on nitrate and DOC concentrations, and hence did not affect streamwater quality. Thus, neither natural forest disturbances in watersheds nor associated salvage logging have a harmful effect on the quality of the streamwater used for drinking water. Natural disturbances increased the α-diversity in eight out of twelve species groups. Salvage logging additionally increased the α-diversity of five species groups related to open habitats, but decreased the biodiversity of three deadwood-dependent species groups.
In chapter III, I investigated whether salvage logging following natural disturbances (wildfire and windthrow) altered the natural successional trajectories of bird communities. I compiled data on breeding bird assemblages from nine study areas in North America, Europe and Asia, over a period of 17 years and tested whether bird community dissimilarities changed over time for taxonomic, functional and phylogenetic diversity when rare, common and dominant species were weighted differently. I found that salvage logging led to significantly larger dissimilarities than expected by chance and that these dissimilarities persisted over time for rare, common and dominant species, evolutionary lineages, and for rare functional groups. Dissimilarities were highest for rare, followed by common and dominant species.
In chapter IV, I investigated how β-diversity of 13 taxonomic groups would differ in intact, undisturbed forests, disturbed, unlogged forests and salvage-logged forests 11 years after a windthrow and salvage logging. The study suggests that both windthrow and salvage logging drive changes in between-treatment β-diversity, whereas windthrow alone seems to drive changes in within-treatment β-diversity. Over a decade after the windthrow at the studied site, the effect of subsequent salvage logging on within-treatment β-diversity was no longer detectable but the effect on between-treatment β-diversity persisted, with more prominent changes in saproxylic groups and rare species than in non-saproxylic groups or common and dominant species.
Based on these results, I suggest that salvage logging needs to be carefully weighed against its long-lasting impact on communities of rare species. Also, setting aside patches of naturally disturbed areas is a valuable management alternative as these patches would enable post-disturbance succession of bird communities in unmanaged patches and would promote the conservation of deadwood-dependent species, without posing health risks to drinking water sources.
The nuclear envelope serves as important mRNA surveillance system. In yeast and humans, several control mechanisms act in parallel to prevent nuclear export of unprocessed mRNAs. However, trypanosomes lack homologues to most of the proteins involved. In addition, gene expression in trypanosomes relies almost completely on post-transcriptional regulation as they transcribe mRNAs as long polycistrons, which are subsequently processed into individual mRNA molecules by trans-splicing. As trans-splicing is not error-free, unspliced mRNAs may be recognized and prevented from reaching the cytoplasm by a yet unknown mechanism.
When trans-splicing is inhibited in trypanosomes, the formation of a novel RNA granule type at the cytoplasmic periphery of the nucleus, so called nuclear periphery granules (NPGs) was previously observed. To identify potential regulators of nuclear export control, changes in protein localization which occur when trans-splicing is inhibited, were globally analyzed during this work. For this, trypanosome nuclei were purified under conditions maintaining NPG attachment to the nucleus, in the absence and presence of trans-splicing. Mass spectrometry analyses identified 128 proteins which are specifically enriched in nuclear preparations of cells inhibited for trans-splicing. Amongst them are proteins, which change their localization to the nucleus or to the nuclear pores as well as many proteins that move into NPGs. Some of these proteins are promising candidates for nuclear export control proteins, as the changes in localization (to the nucleus or nuclear pores) were specific to the accumulation of unspliced mRNAs. The NPG proteome almost exclusively contains proteins involved in mRNA metabolism, mostly unique to trypanosomes, notably major translation initiation factors were absent. These data indicate that NPGs are RNP complexes which have started or completed nuclear export, but not yet entered translation. As a byproduct of these proteomic studies, a high-quality dataset of the yet unknown T. brucei nuclear proteome is provided, closing an important gap in knowledge to study trypanosome biology, in particular nuclear related processes.
NPGs were characterized in more detail by microscopy. The granules are cytoplasmic and present in at least two different trypanosome life cycle stages. There are at least two distinct granule subsets, with differences in protein composition. A closer analysis of NPGs by electron microscopy revealed that the granules are electron dense structures, which are connected to nuclear pores by string-like structures.
In order to approach the function of NPGs, on the one hand, the hypothesis that NPGs might be related to perinuclear germ granules of adult gonads of C. elegans was tested: we found no relation between the two granule types. On the other hand, initial single molecule mRNA FISH experiments performed in trypanosomes showed no accumulation of unspliced transcripts in NPGs, arguing against an involvement of the granules in mRNA quality control.
Recent progress in nanotechnology has attracted interest to a biomedical application of the carbon nanoparticle C60 fullerene (C60) due to its unique structure and versatile biological activity. In the current study the dual functionality of C60 as a photosensitizer and a drug nanocarrier was exploited to improve the efficiency of chemotherapeutic drugs towards human leukemic cells.
Pristine C60 demonstrated time-dependent accumulation with predominant mitochondrial localization in leukemic cells. C60’s effects on leukemic cells irradiated with high power single chip LEDs of different wavelengths were assessed to find out the most effective photoexcitation conditions. A C60-based noncovalent nanosized system as a carrier for an optimized drug delivery to the cells was evaluated in accordance to its physicochemical properties and toxic effects. Finally, nanomolar amounts of C60-drug nanocomplexes in 1:1 and 2:1 molar ratios were explored to improve the efficiency of cell treatment, complementing it with photodynamic approach.
A proposed treatment strategy was developed for C60 nanocomplexes with the common chemotherapeutic drug Doxorubicin, whose intracellular accumulation and localization, cytotoxicity and mechanism of action were investigated. The developed strategy was revealed to be transferable to an alternative potent anticancer drug – the herbal alkaloid Berberine.
Hereafter, a strong synergy of treatments arising from the combination of C60-mediated drug delivery and C60 photoexcitation was revealed. Presented data indicate that a combination of chemo- and photodynamic treatments with C60-drug nanoformulations could provide a promising synergetic approach for cancer treatment.
Identification of a novel LysR-type transcriptional regulator in \(Staphylococcus\) \(aureus\)
(2021)
Staphylococcus aureus is a facultative pathogen which causes a variety of infections. The treatment of staphylococcal infections is complicated because the bacteria is resistant to multiple common antibiotics. S. aureus is also known to express a variety of virulence factors which modulate the host’s immune response in order to colonize and invade certain host cells, leading to the host cell’s death. Among the virulence factors is a LysR-type transcriptional regulator (lttr) which is required for efficient colonization of secondary organs. In a recent report, which used transposon screening on S. aureus-infected mice, it was found that the amount of a novel lttr852 mutant bacteria recovered from the kidneys was significantly lower compared to the wildtype strains.
This doctoral thesis therefore focused on phenotypical and molecular characterization of lttr852. An assessment of the S. aureus biofilm formation and the hemolysis revealed that lttr852 was not involved in the regulation of these virulence processes. RNA-sequencing for potential target genes of lttr852 identified differentially expressed genes that are involved in branched chain amino-acid biosynthesis, methionine sulfoxide reductase and copper transport, as well as a reduced transcription of genes encoding urease and of components of pyrimidine nucleotides. Promoter fusion with GFP reporters as as well as OmniLog were used to identify conditions under which the lttr852 was active. The promoter studies showed that glucose and high temperatures diminish the lttr852 promoter activity in a time-dependent manner, while micro-aerobic conditions enhanced the promoter activity. Copper was found to be a limiting factor. In addition, the impact on promoter activity of the lttr852 was tested in the presence of various regulators, but no central link to the genes involved in virulence was identified.
The present work, thus, showed that lttr852, a new member of the class of LysR-type transcriptional regulators in S. aureus, has an important role in the rapid adaptation of S. aureus to the changing microenvironment of the host.
Virtual reality exposure therapy (VRET) is an effective cognitive-behavioral treatment for anxiety disorders that comprises systematic confrontations to virtual representations of feared stimuli and situations.
However, not all patients respond to VRET, and some patients relapse after successful treatment. One explanation for this limitation of VRET is that its underlying mechanisms are not yet fully understood, leaving room for further improvement.
On these grounds, the present thesis aimed to investigate two major research questions: first, it explored how virtual stimuli induce fear responses in height-fearful participants, and second, it tested if VRET outcome could be improved by incorporating techniques derived from two different theories of exposure therapy. To this end, five studies in virtual reality (VR) were conducted.
Study 1 (N = 99) established a virtual environment for height exposure using a Computer Automatic Virtual Environment (CAVE) and investigated the effects of tactile wind simulation in VR. Height-fearful and non-fearful participants climbed a virtual outlook, and half of the participants received wind simulation. Results revealed that height-fearful participants showed stronger fear responses, on both a subjective and behavioral level, and that wind simulation increased subjective fear. However, adding tactile wind simulation in VR did not affect presence, the user's sense of 'being there' in the virtual environment. Replicating previous studies, fear and presence in VR were correlated, and the correlation was higher in height-fearful compared to non-fearful participants.
Study 2 (N = 43) sought to corroborate the findings of the first study, using a different VR system for exposure (a head-mounted display) and measuring physiological fear responses. In addition, the effects of a visual cognitive distractor on fear in VR were investigated. Participants' fear responses were evident on both a subjective and physiological level---although much more pronounced on skin conductance than on heart rate---but the virtual distractor did not affect the strength of fear responses.
In Study 3 (N = 50), the effects of trait height-fearfulness and height level on fear responses were investigated in more detail. Self-rated level of acrophobia and five different height levels in VR (1 m--20 m) were used as linear predictors of subjective and physiological indices of fear. Results showed that subjective fear and skin conductance responses were a function of both trait height-fearfulness and height level, whereas no clear effects were visible for heart rate.
Study 4 (N = 64 + N = 49) aimed to advance the understanding of the relationship between presence and fear in VR. Previous research indicates a positive correlation between both measures, but possible causal mechanisms have not yet been identified. The study was the first to experimentally manipulate both presence (via the visual and auditive realism of the virtual environment) and fear (by presenting both height and control situations). Results indicated a causal effect of fear on presence, i.e., experiencing fear in a virtual environment led to a stronger sense of `being there' in the virtual environment. However, conversely, presence increased by higher scene realism did not affect fear responses. Nonetheless, presence seemed to have some effects on fear responding via another pathway, as participants whose presence levels were highest in the first safe context were also those who had the strongest fear responses in a later height situation. This finding indicated the importance of immersive user characteristics in the emergence of presence and fear in VR.
The findings of the first four studies were integrated into a model of fear in VR, extending previous models and highlighting factors that lead to the emergence of both fear and presence in VR. Results of the studies showed that fear responses towards virtual heights were affected by trait height-fearfulness, phobic elements in the virtual environment, and, at least to some degree, on presence. Presence, on the other hand, was affected by experiencing fear in VR, immersion---the characteristics of the VR system---and immersive user characteristics. Of note, the manipulations of immersion used in the present thesis, visual and auditory realism of the virtual environment and tactile wind simulation, were not particularly effective in manipulating presence.
Finally, Study 5 (N = 34) compared two different implementations of VRET for acrophobia to investigate mechanisms underlying its efficacy. The first implementation followed the Emotional Processing Theory, assuming that fear reduction during exposure is crucial for positive treatment outcome. In this condition, patients were asked to focus on their fear responses and on the decline of fear (habituation) during exposures. The second implementation was based on the inhibitory learning model, assuming that expectancy violation is the primary mechanism underlying exposure therapy efficacy. In this condition, patients were asked to focus on the non-occurrence of feared outcomes (e.g., 'I could fall off') during exposure. Based on predictions of the inhibitory learning model, the hypothesis for the study was that expectancy-violation-based exposure would outperform habituation-based exposure.
After two treatment sessions in VR, both treatment conditions effectively reduced the patients' fear of heights, but the two conditions did not differ in their efficacy. The study replicated previous studies by showing that VRET is an effective treatment for acrophobia; however, contrary to the assumption, explicitly targeting the violation of threat expectancies did not improve outcome. This finding adds to other studies failing to provide clear evidence for expectancy violation as the primary mechanism underlying exposure therapy. Possible explanations for this finding and clinical implications are discussed, along with suggestions for further research.
The Myb-MuvB (MMB) complex plays an essential role in the time-dependent transcriptional activation of mitotic genes. Recently, our laboratory identified a novel crosstalk between the MMB-complex and YAP, the transcriptional coactivator of the Hippo pathway, to coregulate a subset of mitotic genes (Pattschull et al., 2019). Several genetic studies have shown that the Hippo-YAP pathway is essential to drive cardiomyocyte proliferation during cardiac development (von Gise et al., 2012; Heallen et al., 2011; Xin et al., 2011). However, the exact mechanisms of how YAP activates proliferation of cardiomyocytes is not known. This doctoral thesis addresses the physiological role of the MMB-Hippo crosstalk within the heart and characterizes the YAP-B-MYB interaction with the overall aim to identify a potent inhibitor of YAP.
The results reported in this thesis indicate that complete loss of the MMB scaffold protein LIN9 in heart progenitor cells results in thinning of ventricular walls, reduced cardiomyocyte proliferation and early embryonic lethality. Moreover, genetic experiments using mice deficient in SAV1, a core component of the Hippo pathway, and LIN9-deficient mice revealed that the correct function of the MMB complex is critical for proliferation of cardiomyocytes due to Hippo-deficiency. Whole genome transcriptome profiling as well as genome wide binding studies identified a subset of Hippo-regulated cell cycle genes as direct targets of MMB. By proximity ligation assay (PLA), YAP and B-MYB were discovered to interact in embryonal cardiomyocytes. Biochemical approaches, such as co-immunoprecipitation assays, GST-pulldown assays, and µSPOT-based peptide arrays were employed to characterize the YAP-B-MYB interaction. Here, a PY motif within the N-terminus of B-MYB was found to directly interact with the YAP WW-domains. Consequently, the YAP WW-domains were important for the ability of YAP to drive proliferation in cardiomyocytes and to activate MMB target genes in differentiated C2C12 cells. The biochemical information obtained from the interaction studies was utilized to develop a novel competitive inhibitor of YAP called MY-COMP (Myb-YAP competition). In MY-COMP, the protein fragment of B-MYB containing the YAP binding domain is fused to a nuclear localization signal. Co-immunoprecipitation studies as well as PLA revealed that the YAP-B-MYB interaction is robustly blocked by expression of MY-COMP. Adenoviral overexpression of MY-COMP in embryonal cardiomyocytes suppressed entry into mitosis and blocked the pro-proliferative function of YAP. Strikingly, characterization of the cellular phenotype showed that ectopic expression of MY-COMP led to growth defects, nuclear abnormalities and polyploidization in HeLa cells.
Taken together, the results of this thesis reveal the mechanism of the crosstalk between the Hippo signaling pathway and the MMB complex in the heart and form the basis for interference with the oncogenic activity of the Hippo coactivator YAP.
Alzheimer’s disease (AD) is the most common form of dementia, and currently, there is no treatment to cure or halt disease progression. Because the one-target strategy focusing on amyloid-β has failed to generate successful pharmaceutical treatment, this work studies natural products with pleiotropic effects focusing on oxidative stress and neuroinflammation as key drivers of disease progression. The central part of this work focused on flavonoids as neuroprotectants. 7-O-Esters of taxifolin and cinnamic or ferulic acid were synthesized and investigated towards their neuroprotective potential addressing aging and disease. 7-O-Feruloyl- and 7-O-cinnamoyltaxifolin showed overadditive effects in oxidative stress-induced assays in the mouse neuronal cell line HT22 and proved to be protective against neuroinflammation in microglial BV-2 cells. The overadditive effect translated to animals using an Aβ25-35-induced memory-impaired AD mouse model where the compounds were able to ameliorate short-term memory defects. While the disease-modifying effects in vivo were observed, the detailed mechanisms of action and intracellular targets of the compounds remained unclear. Hence, a chemical probe of the neuroprotective flavonoid ester 7-O-cinnamoyltaxifolin was developed and applied in an activity-based protein profiling approach. SERCA and ANT-1 were identified as potential targets. Further, chemical modifications on the flavonoids taxifolin, quercetin, and fisetin were performed. The achievements of this work are an important contribution to the use of secondary plant metabolites as neuroprotectants. Chemical modifications increased the neuroprotective effect of the natural products, and distinct intracellular pathways involved in the neuroprotective mechanisms were identified. The results of this work support the use of secondary plant metabolites as potential therapeutics and hint towards new pharmacological targets for the treatment of neurodegenerative disorders.
The tropomysin receptor kinase B (TrkB), the receptor for the neurotrophin brain-derived neurotrophic factor (BDNF), plays an important role in neuronal survival, neuronal differentiation, and cellular plasticity. Conventionally, TrkB activation is induced by binding of BDNF at extracellular sites and subsequent dimerization of receptor monomers. Classical Trk signaling concepts have failed to explain ligand-independent signaling of intracellular TrkB or oncogenic NTRK-fusion proteins. The intracellular activation domain of TrkB consists of a tyrosine kinase core, with three tyrosine (Y) residues at positions 701, 705 and 706, that catalyzes the phosphorylation reaction between ATPγ and tyrosine. The release of cisautoinhibition of the kinase domain activates the kinase domain and tyrosine residues outside of the catalytic domain become phosphorylated. The aim of this study was to find out how ligand-independent activation of TrkB is brought about. With the help of phosphorylation mutants of TrkB, it has been found that a high, local abundance of the receptor is sufficient to activate TrkB in a ligand-independent manner. This self-activation of TrkB was blocked when either the ATP-binding site or Y705 in the core domain was mutated. The vast majority of this self-active TrkB was found at intracellular locations and was preferentially seen in roundish cells, lacking filopodia. Live cell imaging of actin dynamics showed that self-active TrkB changed the cellular morphology by reducing actin filopodia formation. Signaling cascade analysis confirmed that self-active TrkB is a powerful activator of focal adhesion kinase (FAK). This might be the reason why self-active TrkB is able to disrupt actin filopodia formation. The signaling axis from Y705 to FAK could be mimicked by expression of the soluble, cytosolic TrkB kinase domain. However, the signaling pathway was inactive, when the TrkB kinase domain was targeted to the plasmamembrane with the help of artificial myristoylation membrane anchors. A cancer-related intracellular NTRK2-fusion protein (SQSTM1-NTRK2) also underwent constitutive kinase activation. In glioblastoma-like U87MG cells, self-active TrkB kinase reduced cell migration. These constitutive signaling pathways could be fully blocked within minutes by clinically approved, anti-tumorigenic Trk inhibitors. Moreover, this study found evidences for constitutively active, intracellular TrkB in tissue of human grade IV glioblastoma. In conclusion, the data provide an explanation and biological function for selfactive, constitutive TrkB kinase domain signaling, in the absence of a ligand.
The adaptive immune system is known to provide highly specific and effective immunity against a broad variety of pathogens due to different effector cells. The most prominent are CD4+ T-cells which differentiate after activation into distinct subsets of effector and memory cells, amongst others T helper 1 (Th1) cells. We have recently shown that mouse as well as human Th1 cells depend on T cell receptor (TCR) signals concomitant with CD28 costimulation in order to secrete interferon (IFN) which is considered as their main effector function. Moreover, there is a class of anti-CD28 monoclonal antibodies that is able to induce T cell (re-)activation without concomitant TCR ligation. These so-called CD28-superagonists (CD28-SA) have been shown to preferentially activate and expand CD4+ Foxp3+ regulatory T (Treg) cells and thereby efficaciously conferring protection e.g. against autoimmune responses in rodents and non-human primates. Considering this beneficial effect, CD28-SA were thought to be of great impact for immunotherapeutic approaches and a humanized CD28-SA was subjected to clinical testing starting with a first-in-man trial in London in 2006. Unexpectedly, the volunteers experienced life-threatening side effects due to a cytokine release syndrome (CRS) that was unpredicted by the preclinical studies prior to the trial. Retrospectively, CD4+ memory T cells within the tissues were identified as source of pro-inflammatory cytokines released upon CD28-SA administration. This was not predicted by the preclinical testing indicating a need for more reliable and predictive animal models. Whether mouse CD4+ T cells are generally irresponsive to CD28-SA stimulation or rather the lack of a bona fide memory T cell compartment in cleanly housed specific-pathogen-free (SPF) mice is the reason why the rodent models failed to predict the risk for a CRS remained unclear. To provide SPF mice with a true pool of memory/effector T cells, we transferred in vitro differentiated TCR-transgenic OT-II Th1 cells into untreated recipient mice. Given that Treg cells suppress T cell activation after CD28- SA injection in vivo, recipients were either Treg-competent or Treg-deficient, wild type or DEREG mice, respectively. Subsequent CD28-SA administration resulted in induction of systemic pro-inflammatory cytokine release, dominated by IFN, that was observed to be much more pronounced and robust in Treg-deficient recipients. Employing a newly established in vitro system mirroring the in vivo responses to CD28-SA stimulation of Th1 cells revealed that antigen-presenting cells (APCs) amplify CD28-SAinduced IFN release by Th1 cells due to CD40/CD40L-interactions. Thus, these data are the first to show that mouse Th1 cells are indeed sensitive to CD28-SA stimulation in vivo and in vitro responding with strong IFN release accompanied by secretion of further pro-inflammatory cytokines, which is compatible with a CRS. In conclusion, this study will facilitate preclinical testing of immunomodulatory agents providing a mouse model constituting more “human-like” conditions allowing a higher degree of reliability and translationability.
An adequate task allocation among colony members is of particular importance in large insect societies. Some species exhibit distinct polymorphic worker classes which are responsible for a specific range of tasks. However, much more often the behavior of the workers is related to the age of the individual. Ants of the genus Cataglyphis (Foerster 1850) undergo a marked age-related polyethism with three distinct behavioral stages. Newly emerged ants (callows) remain more or less motionless in the nest for the first day. The ants subsequently fulfill different tasks inside the darkness of the nest for up to four weeks (interior workers) before they finally leave the nest to collect food for the colony (foragers).
This thesis focuses on the neuronal substrate underlying the temporal polyethism in Cataglyphis nodus ants by addressing following major objectives:
(1) Investigating the structures and neuronal circuitries of the Cataglyphis brain to understand potential effects of neuromodulators in specific brain neuropils.
(2) Identification and localization of neuropeptides in the Cataglyphis brain.
(3) Examining the expression of suitable neuropeptide candidates during behavioral maturation of Cataglyphis workers.
The brain provides the fundament for the control of the behavioral output of an insect. Although the importance of the central nervous system is known beyond doubt, the functional significance of large areas of the insect brain are not completely understood. In Cataglyphis ants, previous studies focused almost exclusively on major neuropils while large proportions of the central protocerebrum have been often disregarded due to the lack of clear boundaries. Therefore, I reconstructed a three-dimensional Cataglyphis brain employing confocal laser scanning microscopy. To visualize synapsin-rich neuropils and fiber tracts, a combination of fluorescently labeled antibodies, phalloidin (a cyclic peptide binding to filamentous actin) and anterograde tracers was used. Based on the unified nomenclature for insect brains, I defined traceable criteria for the demarcation of individual neuropils. The resulting three-dimensional brain atlas provides information about 33 distinct synapse-rich neuropils and 30 fiber tracts, including a comprehensive description of the olfactory and visual tracts in the Cataglyphis brain. This three-dimensional brain atlas further allows to assign present neuromodulators to individual brain neuropils.
Neuropeptides represent the largest group of neuromodulators in the central nervous system of insects. They regulate important physiological and behavioral processes and have therefore recently been associated with the regulation of the temporal polyethism in social insects. To date, the knowledge of neuropeptides in Cataglyphis ants has been mainly derived from neuropeptidomic data of Camponotus floridanus ants and only a few neuropeptides have been characterized in Cataglyphis. Therefore, I performed a comprehensive transcriptome analysis in Cataglyphis nodus ants and identified peptides by using Q-Exactive Orbitrap mass spectrometry (MS) and matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) MS. This resulted in the characterization of 71 peptides encoded on 49 prepropeptide genes, including a novel neuropeptide-like gene (fliktin). In addition, high-resolution MALDI-TOF MS imaging (MALDI-MSI) was applied for the first time in an ant brain to localize peptides on thin brain cryosections. Employing MALDI-MSI, I was able to visualize the spatial distribution of 35 peptides encoded on 16 genes.
To investigate the role of neuropeptides during behavioral maturation, I selected suitable neuropeptide candidates and analyzed their spatial distributions and expression levels following major behavioral transitions. Based on recent studies, I suggested the neuropeptides allatostatin-A (Ast-A), corazonin (Crz) and tachykinin (TK) as potential regulators of the temporal polyethism. The peptidergic neurons were visualized in the brain of C. nodus ants using immunohistochemistry. Independent of the behavioral stages, numerous Ast-A- and TK-immunoreactive (-ir) neurons innervate important high-order integration centers and sensory input regions with cell bodies dispersed all across the cell body rind. In contrast, only four corazonergic neurons per hemisphere were found in the Cataglyphis brain. Their somata are localized in the pars lateralis with axons projecting to the medial protocerebrum and the retrocerebral complex. Number and branching patterns of the Crz-ir neurons were similar across behavioral stages, however, the volume of the cell bodies was significantly larger in foragers than in the preceding behavioral stages. In addition, quantitative PCR analyses displayed increased Crz and Ast-A mRNA levels in foragers, suggesting a concomitant increase of the peptide levels. The task-specific expression of Crz and Ast-A along with the presence in important sensory input regions, high-order integration center, and the neurohormonal organs indicate a sustaining role of the neuropeptides during behavioral maturation of Cataglyphis workers.
The present thesis contains a comprehensive reference work for the brain anatomy and the neuropeptidome of Cataglyphis ants. I further demonstrated that neuropeptides are suitable modulators for the temporal polyethism of Cataglyphis workers. The complete dataset provides a solid framework for future neuroethological studies in Cataglyphis ants as well as for comparative studies on insects. This may help to improve our understanding of the functionality of individual brain neuropils and the role of neuropeptides, particularly during behavioral maturation in social insects.
High-resolution nuclear magnetic resonance (NMR) spectroscopy is used in structure elucidation and qualitative as well as quantitative examination of product components. Despite the worldwide development of numerous innovative NMR spectroscopic methods, several official methods that analyze specific substances and do not represent a holistic analysis, are still in use for the quality control of drugs, food and chemicals. Thus, counterfeit or contaminated products of inferior quality can be brought onto the market and distributed despite previous quality controls. To prevent this, three NMR spectroscopic methods have been developed within the scope of this work (1) to study the peroxide value in vegetable and animal oils, (2) for the qualitative and quantitative analysis of metal cations and (3) to determine the enantiomeric excess in chiral alcohols. In oil analysis, titration methods are used to determine the bulk quality parameters such as peroxide value, which represents the concentration of peroxides. Titrations show several drawbacks, such as the need of a large amount of sample and solvents, cross reactions and the low robustness. Thus, an alternative NMR spectroscopic method was developed to improve the peroxide analysis by using triphenylphosphine as a derivatization reagent, which reacts with peroxides in a stoichiometric ratio of 1:1 forming triphenylphosphine oxide. In the 1H-31P decoupled NMR spectrum, the signals of the unreacted triphenylphosphine and the reacted triphenylphosphine oxide are detected at 7.4 ppm and 7.8 ppm, respectively. The ratio of the two signals is used for the calculation of the peroxide concentration. 108 oil samples with a peroxide value between 1 meq/kg and 150 meq/kg were examined using the developed method. Oils with a very low peroxide value of less than 3 meq/kg showed a relative standard deviation of 4.9%, highly oxidized oils with a peroxide value of 150 meq/kg of 0.2%. The NMR method was demonstrated as a powerful technique for the analysis of vegetable and krill oils. Another 1H NMR spectroscopic method was developed for the qualitative determination of Be2+, Sr2+ and Cd2+, and for the qualitative and quantitative determination of Ca2+, Mg2+, Hg2+, Sn2+, Pb2+ and Zn2+ by using ethylenediamine tetraacetate (EDTA) as complexing agent. EDTA is a hexadentate ligand that forms stable chelate complexes with divalent cations. The known amount of added EDTA and the signal ratio of free and complexed EDTA are used to calculate the concentrations of the divalent cations, which makes the use of an internal standard obsolete. The use of EDTA with Be2+, Sr2+, Cd2+, Ca2+, Mg2+, Hg2+, Sn2+, Pb2+ and Zn2+ result in complexes whose signals are pH-independent, showing cation-specific chemical shifts and couplings in the 1H NMR spectrum that are used for identification and quantification. In the presented NMR method, the limit of quantification of the cations Ca2+, Mg2+, Hg2+, Sn2+, Pb2+, and Zn2+ was determined with 5-22 μg/mL. This method is applicable in the food and drug sectors. The third NMR spectroscopic method introduced an alternative determination of the enantiomer excess (ee) of the chiral alcohols menthol, borneol, 1-phenylethanol and linalool using phosgene as a derivatizing reagent. Phosgene reacts with a chiral alcohol to form carboxylic acid diesters, made of two identical (RR, SS) or two different enantiomers (RS, SR). These two different types of diastereomers can be examined by the difference of their chemical shifts. In the presented method, the integration values of the carbonyl signals in the 13C NMR spectrum are used for the determination of the enantiomer excess. The limit of quantification depends, among others, on the sample and on the non-labelled or 13C-labelled phosgene used for the analysis. In the case of menthol, a quantification limit of ee=99.1% was determined using non-labelled phosgene and ee=99.9% using 13C-labelled phosgene. The 13C NMR method was also applied for the quality control of the enantiomeric purity of borneol, 1-phenylethanol and linalool. The developed 13C NMR method represents a powerful alternative to Mosher’s reagent for investigating the enantiomeric excess in chiral alcohols. This work demonstrates the variety of possibilities of applications for the quantitative nuclear magnetic resonance spectroscopy in the chemical analysis of drugs, food and chemicals using tagging reactions such as derivatizations and complexations. The nuclear resonance spectroscopic methods developed in this research work represent powerful alternatives to the previously used quality control techniques.
This thesis focused on the influence of the underlying crystal structure and hence, of the mutual molecular orientation, on the excited states in ordered molecular aggregates. For this purpose, two model systems have been investigated. In the prototypical donor-acceptor complex pentacene-perfluoropentacene (PEN-PFP) the optical accessibility of the charge transfer state and the possibility to fabricate highly defined interfaces by means of single crystal templates enabled a deep understanding of the spatial anisotropy of the charge transfer state formation. Transferring the obtained insights to the design of prototypical donor-acceptor devices, the importance of interface control to minimize the occurrence of charge transfer traps and thereby, to improve the device performance, could be demonstrated. The use of zinc phthalocyanine (ZnPc) allowed for the examination of the influence of molecular packing on the excited electronic states without a change in molecular species by virtue of its inherent polymorphism. Combining structural investigations, optical absorption and emission spectroscopy, as well as Franck-Condon modeling of emission spectra revealed the nature of the optical excited state emission in relation to the structural \(\alpha \) and \(\beta \) phase over a wide temperature range from 4 K to 300 K. As a results, the phase transition kinetics of the first order \(\alpha \rightarrow \beta\) phase transition were characterized in depth and applied to the fabrication of prototypical dual luminescent OLEDs.
Peripheral neuropathies can severely affect patients. Causes for the disease are diverse but can be classified into two main groups, acquired and hereditary. Examples for these two types are chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) and Charcot-Marie-Tooth disease type 1A (CMT1A). CIDP has an estimated prevalence of about 1-9:100 000. In this pathogenetically hetereo- geneous patient group about 5-10% show auto-antibodies against the node of Ranvier and present with distinct symptoms. Treatment with rituximab - a monoclonal antibody that deletes CD20 + B cells - has been shown to be effective in a majority of auto-antibody as- sociated CIDP cases. This suggests that B cells and the produced auto-antibodies might be pathogenic. Previous studies delivered evidence that auto-antibodies alone can induce nerve damage. In this study, the aim was to investigate the pathomechanism of auto-antibodies in vivo and their exact origin: For the analysis of the pathogenicity of auto-antibodies, passive transfer experiments on Lewis rats were performed with whole IgG from a patient with anti-contactin-1 (CNTN1) IgG4 auto-antibodies. IgG was infused through an intrathe- cal catheter targeting the thoracic/lumbar region of the spine over a long-term, 3-week period. In a previous study of our group, the IgG from the same patient has been re- ported to have mild pathogenic effects when applied intraneurally into the sciatic nerve of Lewis rats. In this study however, binding of auto-antibodies to nerve roots could not be detected. Neither evaluation of electrophysiological properties after the injection period nor motor and sensory skills tested throughout the injection period showed differences when compared to animals infused with control IgG. This suggests that in the chronic intrathecal protocol anti-CNTN1 auto-antibodies did not have a pathogenic effect. In peripheral blood, four B cell subsets capable to produce antibodies were previously described: memory B cells, plasmablasts (PBs), B1 cells and CD20 + CD38 hi cells. For the identification of the B cell subsets that produce auto-antibodies, purification and sort protocols as well as an enzyme-linked immuno spot (ELISpot) assay for IgG and IgM were established successfully. Since unstimulated B cell subsets produced very small amounts of IgG and IgM, peripheral blood mononuclear cells (PBMCs) were stimulated with IL-2 and R848 for 72 h prior to sorting. While the memory B cell frequency decreased after stimulation, the frequency of CD20 + CD38 hi cells increased and the overall number of antibody-secreting cells was increased. When stimulating patient PBMCs for 10 days though, detection of anti-neurofascin-155 (NF155) auto-antibodies in supernatants by enzyme-linked immunosorbent assay (ELISA) was possible in two out of three patient samples. Even though cell sorting was feasible after 10 days of stimulation, detection of auto-antibodies could not be accomplished using antigen-specific ELISpot. Although the implementation of the cell sorting and purification protocol was successful, further adjustments of the antigen-specific ELISpot need to be performed. However, we could show that after 10 days of stimulation auto-antibody detection is possible by ELISA which helps to pre-screen if patient PBMC contain auto-reactive B cells. CMT1A has an estimated prevalence of 1:5000 and is caused by a duplication of the peripheral myelin protein 22 kDa (PMP22) gene. Patients suffer from distal weakness and muscle wasting leading even to wheelchair-dependency in some cases. Although different treatment options for CMT1A have been tested in previous clinical trials, none of them have been successful. In this study, the aim was to identify objective and reproducible outcome measures that assess the actual nerve damage in a large cohort of CMT1A patients by analyzing a series of parameters. Glabrous skin samples were collected from 48 CMT1A, 7 CIDP and 16 small fiber neuropathy patients and 45 healthy controls. 40-µm cryosections from the lateral part of the index finger were double-labeled using immunoflu- orescence to investigate cutaneous innervation. The disease severity which was assessed using the Charcot-Marie-Tooth Neuropathy Score version 2 (CMTNSv2) and ranged between mild to severe (3-27) correlated with age in CMT1A patients. Furthermore, the intraepidermal nerve fiber density (IENFD) was reduced in CMT1A patients in comparison to controls and correlated negatively with the disease severity. In controls however, the IENFD correlated inversely with age. Meissner corpuscle density tended to be reduced and correlated inversely with age in CMT1A patients. This was not observed in healthy controls though. Compared to controls, Merkel cell density was also reduced in CMT1A, while the fraction of denervated Merkel cell was increased and correlated with age. Further differences were revealed concerning the node of Ranvier. Paranodes were shortened and the fraction of long nodes was decreased in CMT1A patients compared to controls. These data suggest that the IENFD, the Meissner corpuscle and Merkel cell densities are possible candidates for outcome measures as they are associated with disease severity or age of patients. However, a reliable statement about the suitability as a marker for disease progression can not be made in this study since only six CMT1A patients agreed to give a follow-up biopsy two years later.
The research presented in this thesis illustrates that self-assembly of organic molecules guided by intermolecular forces is a versatile bottom-up approach towards functional materials. Through the specific design of the monomers, supramolecular architectures with distinct spatial arrangement of the individual building blocks can be realized. Particularly intriguing materials can be achieved when applying the supramolecular approach to molecules forming liquid-crystalline phases as these arrange in ordered, yet mobile structures. Therefore, they exhibit anisotropic properties on a macroscopic level. It is pivotal to precisely control the interchromophoric arrangement as functions originate in the complex structures that are formed upon self-assembly. Consequently, the aim of this thesis was the synthesis and characterization of liquid-crystalline phases with defined supramolecular arrangements as well as the investigation of the structure-property relationship. For this purpose, perylene bisimide and diketopyrrolopyrrole chromophores were used as they constitute ideal building blocks towards functional supramolecular materials due to their thermal stability, lightfastness, as well as excellent optical and electronic features desirable for the application in, e.g., organic electronics.
Insight into molecular mechanisms of folding and self-association of spider silk protein domains
(2021)
Spider silk is a biomaterial of extraordinary toughness paired with elasticity. The assembly of silk proteins, so-called spidroins (from “spider” and “fibroin”), generates the silk threads we typically see in our garden or the corners of our houses. Although spider webs from different species vary considerably in geometry and size, many sections of spidroin sequences are conserved. Highly conserved regions, found in all spidroins, relate to the terminal domains of the protein, i.e., the N-terminal (NTD) and C-terminal domains (CTD). Both have an essential function in the silk fibre association and polymerisation.
The NTD is a 14 kDa five-helix bundle, which self-associates via a pH-driven mechanism. This process is critical for starting the polymerisation of the fibre. However, detailed insights into how conserved this mechanism is in different species and the quantitative thermodynamic comparison between homologous NTDs was missing. For this reason, four homologous NTDs of the major ampullate gland (MaSp) from spider species Euprosthenops australis, Nephila clavipes, Latrodectus hesperus, and Latrodectus geometricus were investigated. I analysed and quantified equilibrium thermodynamics, kinetics of folding, and self-association. Methods involved dynamic light scattering (MALS), stopped-flow fluorescence and circular dichroism spectroscopy in combination with thermal and chemical denaturation experiments. The results showed conserved, cooperative two-state folding on a sub-millisecond time scale. All homologous NTDs showed a similarly fast association in the order of 10^9 M^−1 s^−1, while the resulting equilibrium dissociation constants were in the low nanomolar range. Electrostatic forces were found to be of great importance for protein association. Monomeric protein stability increased with salt concentration while enhancing its folding speed. However, due to Debye-Hückel effects, we found intermolecular electrostatics to be shielded, which reduced the NTDs association capacity significantly at high ionic strength. Altogether, the energetics and kinetics of the NTD dimerisation was conserved for all analysed homologs.
Comparable to the NTD, the spider silks CTD is also a α-helix bundle, which covalently links two spidroins. The orientation of the domains predetermines the future fibre geometry. Here again, the detailed quantitative characterisation of the folding and dimerisation was missing. Therefore, the CTD from the E. australis was analysed in-depth. The protein folded via a three-state mechanism and was placed in the family of knotted proteins.
By analysing the amino acid composition of the NTD of the MaSp1 of the Euprosthenops australis, we found an unusually high content of methionine residues (Met). To elucidate why this protein exhibits so many Met residues, I mutated all core Mets simultaneously to leucine (Leu). Results revealed a dramatically stabilised NTD, which now folded 50 times faster. After solving the tertiary structure of the mutant by NMR (nuclear magnetic resonance) spectroscopy, the structure of the monomeric mutant was found to be identical with the wild-type protein. However, when probing the dimerisation of the NTD, I could show that the association capacity was substantially impaired for the mutant. Our findings lead to the conclusion that Met provides the NTD with enhanced conformational dynamics and thus mobilises the protein, which results in tightly associated dimers. In additional experiments, I first re-introduced new Met residues into the Met-depleted protein at sequence positions containing native Leu. Hence, the mutated NTD protein was provided with the same number of Leu, which were previously removed by mutation. However, the protein did not regain wild-type characteristics. The functionality was not restored, but its stability was decreased as expected. To probe our hypothesis gained from the MaSp NTD, I transferred the experiment to another protein, namely the Hsp90 chaperone. Therefore, I incorporated methionine residues in the protein, which resulted in a slight improvement of its function.
Finally, trial experiments were performed aiming at the synthesis of shortened spidroin constructs containing less repetitive middle-segments than the wild-type protein. The objective was to study the findings of the terminal domains in the context of an intact spidroin. The synthesis of these engineered spidroins was challenging. Nevertheless, preliminary results encourage the assumption that the characteristics observed in the isolated domains hold true in the context of a full-length spidroin.
How diversity of life is generated, maintained, and distributed across space and time is the central question of community ecology. Communities are shaped by three assembly processes: (I) dispersal, (II) environ-mental, and (III) interaction filtering. Heterogeneity in environmental conditions can alter these filtering processes, as it increases the available niche space, spatially partitions the resources, but also reduces the effective area available for individual species. Ultimately, heterogeneity thus shapes diversity. However, it is still unclear under which conditions heterogeneity has positive effects on diversity and under which condi-tions it has negative or no effects at all. In my thesis, I investigate how environmental heterogeneity affects the assembly and diversity of diverse species groups and whether these effects are mediated by species traits.
In Chapter II, I first examine how much functional traits might inform about environmental filtering pro-cesses. Specifically, I examine to which extent body size and colour lightness, both of which are thought to reflect the species thermal preference, shape the distribution and abundance of two moth families along elevation. The results show, that assemblages of noctuid moths are more strongly driven by abiotic filters (elevation) and thus form distinct patterns in colour lightness and body size, while geometrid moths are driven by biotic filters (habitat availability), and show no decline in body size nor colour lightness along elevation. Thus, one and the same functional trait can have quite different effects on community assembly even between closely related taxonomic groups.
In Chapter III, I elucidate how traits shift the relative importance of dispersal and environmental filtering in determining beta diversity between forests. Environmental filtering via forest heterogeneity had on aver-age higher independent effects than dispersal filtering within and among regions, suggesting that forest heterogeneity determines species turnover even at country-wide extents. However, the relative importance of dispersal filtering increased with decreasing dispersal ability of the species group. From the aspects of forest heterogeneity covered, variations in herb or tree species composition had overall stronger influence on the turnover of species than forest physiognomy. Again, this ratio was influenced by species traits, namely trophic position, and body size, which highlights the importance of ecological properties of a taxo-nomic group in community assembly.
In Chapter IV, I assess whether such ecological properties ultimately determine the level of heterogeneity which maximizes species richness. Here, I considered several facets of heterogeneity in forests. Though the single facets of heterogeneity affected diverse species groups both in positive and negative ways, we could not identify any generalizable mechanism based on dispersal nor the trophic position of the species group which would dissolve these complex relationships.
In Chapter V, I examine the effect of environmental heterogeneity of the diversity of traits itself to evalu-ate, whether the effects of environmental heterogeneity on species richness are truly based on increases in the number of niches. The results revealed that positive effects of heterogeneity on species richness are not necessarily based on an increased number of niches alone, but proposedly also on a spatially partition of resources or sheltering effects. While ecological diversity increased overall, there were also negative trends which indicate filtering effects via heterogeneity.
In Chapter VI, I present novel methods in measuring plot-wise heterogeneity of forests across continental scales via Satellites. The study compares the performance of Sentinel-1 and LiDar-derived measurements in depicting forest structures and heterogeneity and to their predictive power in modelling diversity. Senti-nel-1 could match the performance of Lidar and shows high potential to assess free yet detailed infor-mation about forest structures in temporal resolutions for modelling the diversity of species.
Overall, my thesis supports the notion that heterogeneity in environmental conditions is an important driv-er of beta-diversity, species richness, and ecological diversity. However, I could not identify any general-izable mechanism which direction and form this effect will have.
This thesis is concerned with applying the total variation (TV) regularizer to surfaces and different types of shape optimization problems. The resulting problems are challenging since they suffer from the non-differentiability of the TV-seminorm, but unlike most other priors it favors piecewise constant solutions, which results in piecewise flat geometries for shape optimization problems.The first part of this thesis deals with an analogue of the TV image reconstruction approach [Rudin, Osher, Fatemi (Physica D, 1992)] for images on smooth surfaces. A rigorous analytical framework is developed for this model and its Fenchel predual, which is a quadratic optimization problem with pointwise inequality constraints on the surface. A function space interior point method is proposed to solve it. Afterwards, a discrete variant (DTV) based on a nodal quadrature formula is defined for piecewise polynomial, globally discontinuous and continuous finite element functions on triangulated surface meshes. DTV has favorable properties, which include a convenient dual representation. Next, an analogue of the total variation prior for the normal vector field along the boundary of smooth shapes in 3D is introduced. Its analysis is based on a differential geometric setting in which the unit normal vector is viewed as an element of the two-dimensional sphere manifold. Shape calculus is used to characterize the relevant derivatives and an variant of the split Bregman method for manifold valued functions is proposed. This is followed by an extension of the total variation prior for the normal vector field for piecewise flat surfaces and the previous variant of split Bregman method is adapted. Numerical experiments confirm that the new prior favours polyhedral shapes.
Alveolar echinococcosis, which is caused by the metacestode stage of the small fox tapeworm Echinococcus multilocularis, is a severe zoonotic disease with limited treatment options. For a better understanding of cestode biology the genome of E. multilocularis, together with other cestode genomes, was sequenced previously. While a few studies were undertaken to explore the E. multilocularis transcriptome, a comprehensive exploration of global transcription profiles throughout life cycle stages is lacking. This work represents the so far most comprehensive analysis of the E. multilocularis transcriptome. Using RNA-Seq information from different life cycle stages and experimental conditions in three biological replicates, transcriptional differences were qualitatively and quantitatively explored. The analyzed datasets are based on samples of metacestodes cultivated under aerobic and anaerobic conditions as well as metacestodes obtained directly from infected jirds. Other samples are stem cell cultures at three different time points of development as well as non-activated and activated protoscoleces, the larval stage that can develop into adult worms. In addition, two datasets of metacestodes under experimental conditions suitable for the detection of genes that are expressed in stem cells, the so-called germinative cells, and one dataset from a siRNA experiment were analyzed. Analysis of these datasets led to expression profiles for all annotated genes, including genes that are expressed in the tegument of metacestodes and play a role in host-parasite interactions and modulation of the host's immune response. Gene expression profiles provide also further information about genes that might be responsible for the infiltrative growth of the parasite in the liver.
Furthermore, germinative cell-specific genes were identified. Germinative cells are the only proliferating cells in E. multilocularis and therefore of utmost importance for the development and growth of the parasite. Using a combination of germinative cell depletion and enrichment methods, genes with specific expression in germinative cells were identified. As expected, many of these genes are involved in translation, cell cycle regulation or DNA replication and repair. Also identified were transcription factors, many of which are involved in cell fate commitment. As an example, the gene encoding the telomerase reverse transcriptase (TERT) was studied further. Expression of E. multilocularis tert in germinative cells was confirmed experimentally. Cell culture experiments indicate that TERT is required for proliferation and development of the parasite, which makes TERT a potentially interesting drug target for chemotherapy of alveolar echinococcosis.
Germinative cell specific genes in E. multilocularis also include genes of densoviral origin. More than 20 individual densovirus loci with information for non-structural and structural densovirus proteins were identified in the E. multilocularis genome. Densoviral elements were also detected in many other cestode genomes. Genomic integration of these elements suggests that densovirus-based vectors might be suitable tools for genetic manipulation of tapeworms. Interestingly, only three of more than 20 densovirus loci in the E. multilocularis genome are expressed. Since the canonical piRNA pathway is lacking in cestodes, this raises the question about potential silencing mechanisms. Exploration of RNA-Seq information indicated natural antisense transcripts as a potential gene regulation mechanism in E. multilocularis. Preliminary experiments further suggest DNA-methylation, which was previously shown to occur in platyhelminthes, as an interesting avenue to explore in future.
The transcriptome datasets also contain information about genes that are expressed in differentiated cells, for example the serotonin transporter gene that is expressed in nerve cells. Cell culture experiments indicate that serotonin and serotonin transport play an important role in E. multilocularis proliferation, development and survival.
Overall, this work provides a comprehensive transcription data atlas throughout the E. multilocularis life cycle. Identification of germinative cell-specific genes and genes important for host-parasite interactions will greatly facilitate future research. A global overview of gene expression profiles will also aide in the detection of suitable drug targets and the development of new chemotherapeutics against alveolar echinococcosis.
Gonorrhea is the second most common sexually transmitted infection worldwide and is caused by Gram-negative, human-specific diplococcus Neisseria gonorrhoeae. It colonizes the mucosal surface of the female reproductive tract and the male urethra. A rapid increase in antibiotic resistance makes gonorrhea a serious threat to public health worldwide. Since N. gonorrhoeae is a human-specific pathogen, animal infection models are not able to recapitulate all the features of infection. Therefore, a realistic in vitro cell culture model is urgently required for studying the gonorrhea infection. In this study, we established and characterized three independent 3D tissue models based on the porcine small intestinal submucosa (SIS) scaffold by co-culturing human dermal fibroblasts with human colorectal carcinoma, endometrial epithelial, and male uroepithelial cells. The histological, immunohistochemical, and ultra-structural analysis showed that the 3D SIS scaffold-based models closely mimic the main characteristics of the site of gonococcal infection in the human host including the formation of epithelial monolayer, underlying connective tissue, mucus production, tight junction (TJ), and microvilli. In addition, functional analysis such as transepithelial electrical resistance (TEER) and barrier permeability indicated high barrier integrity of the cell layer. We infected the established 3D tissue models with different N. gonorrhoeae strains and derivatives presenting various phenotypes regarding adhesion and invasion. The results showed disruption of TJs and growing the interleukins production in response to the infection, which depends on the type of strain and cell. In addition, the 3D tissue models supported bacterial survival, which provided an appropriate in vitro model for long-term infection study. This could be mainly because of the high resilience of the 3D tissue models based on the SIS scaffold to the infection in terms of alteration in permeability, cell destruction, and bacterial transmigration.
During gonorrhea infection, a high level of neutrophils migrates to the site of infection. The studies also showed that N. gonorrhoeae can survive or even replicate inside the neutrophils. Therefore, studying the interaction between neutrophils and N. gonorrhoeae is substantially under scrutiny. For this purpose, we generated a 3D tissue model by triple co-culturing of human primary fibroblast cells, human colorectal carcinoma cells, and human umbilical vein endothelial cells. The tissue model was subsequently infected by N. gonorrhoeae. A perfusion-based bioreactor system was employed to recreate blood flow in the side of endothelial cells and consequently study human neutrophils transmigration to the site of infection. We observed neutrophils activation upon the infection. Furthermore, we demonstrated the uptake of N. gonorrhoeae by human neutrophils and reverse transmigration of neutrophils to the basal side carrying N. gonorrhoeae. In summary, the introduced 3D tissue models in this research represent a promising tool to investigate N. gonorrhoeae infections under close-to-natural conditions.
Phonetic and phonological variability in the L1 and L2 of late bilinguals: The case of /r/ and /l/
(2021)
A large body of research has shown that a late bilingual’s L1 and L2 phonetic categories influence each other, yielding deviations from monolingual norms in the phonetics of both languages. Existing models of L2 sound acquisition (e.g., the Speech Learning Model; Flege, 1995, 2007) predict unified phonetic spaces which accommodate both L1 and L2 sound categories. Such connections between an L1 and an L2 are believed to lead to persistent non-nativelikeness in the L2, but also to divergence from the monolingual norm in the L1, as shown in numerous studies (e.g., Bergmann et al., 2016). In this dissertation, I focus on the differences in the sound patterns of a bilingual’s languages which do not only emerge in the precise phonetic realizations of L1 sounds but also in language-specific distributional patterns that determine the realization of these sound categories in different phonetic contexts. Previous work in L1 attrition is limited to a small set of phonetic properties (especially VOT, e.g., Flege, 1987), variables beyond L2 transfer which are known to give rise to variable realizations have been neglected. Thus, little is known as to whether bilinguals’ realizations of an L1 sound category in different phonetic contexts (e.g., position within a syllable) are subject to change in L1 attrition, and whether such changes arise due to long-term exposure to different distributional patterns of an equivalent L2 category.
In this dissertation I address these gaps by exploring L1 attrition in the distributional and phonetic characteristics of liquids to shed light on the contribution of the L2 and the role of general phonetic and phonological variables to the processes that drive change in an L1. I investigate changes to phonetic properties and distributional patterns of rhoticity and /l/-allophony in the L1 of American-German late bilinguals, a language constellation which offers an instructive test case to investigate the causes of L1 attrition as well as the source from which changes due to L1 attrition emerge. Furthermore, changes to liquids can also shed light on the processes which drive sound change, gradience and variability due to various positional and phonetic factors (e.g., preceding vowel, syllable structure) in liquids across many native varieties of English. In particular, I explore the variable realization and distributional patterns of two sounds known to be subject to a considerable degree of gradience and variability, namely English /r/ and /l/, in American English-German late bilinguals.
To that end, I present the results of a production study of 12 L2-dominant American English-German late bilinguals as well as a monolingual control group for each language. The speakers performed a variety of production tasks which were aimed to elicit the realization of (non)-rhoticity and /l/-(non-)allophony in both languages of the late bilinguals, English and German which were analyzed auditorily (/r/ only) and acoustically (/r/ and /l/). Although L1 attrition of rhotics and laterals has been investigated previously (e.g., de Leeuw, 2008; Ulbrich & Ordin, 2014), the effect of contextual variables on L1 attrition and whether such variables also shape L1 attrition remains unexplored.
The results of the auditory analyses of postvocalic /r/ revealed that the late bilinguals showed non-convergence with monolingual (non-)rhoticity in both of their languages by vocalizing postvocalic /r/ more frequently in their L1 (English) and failing to entirely suppress rhoticity in their L2 (German) leading up to a higher degree of rhoticity in their L2. While the loss of rhoticity in the bilingual’s English was distributed along a spectrum of contextual constraints (e.g., type of pre-rhotic vowel and morpho-phonological environment) known to affect rhoticity in other English varieties, the non-targetlike productions of non-rhoticity (i.e., non-vocalized postvocalic /r/) in their L2, German, were not sensitive to the same contextual constraints. The acoustic analyses of the bilinguals’ rhotic productions in English and German differed from the monolinguals in the acoustic correlates of rhoticity in pre-rhotic vowels where they showed reduced anticipatory F3-lowering (i.e., less /r/-colored vowels).
I take my results to indicate that the bilinguals operate in two separate phonological grammars which approximate the respective L1 norm but show an increase of variability along constraints already present in each grammar. In contrast, the bilinguals’ phonetic system seem shared between the two grammars. This leads to persistent L1-L2-interactions as the two grammars operate within the same phonetic space. Thus, the changes in L1 attrition are induced but not governed by the L2: Change to the L1 reflects constraints underlying the L1 as well as more general laws of phonetics and universal trajectories of language change.
The lateral results revealed that just like in postvocalic /r/, the bilinguals showed non-convergence with the monolingual norm regarding the velarization of coda /l/ in both their languages. The changes to English laterals were sensitive to their positional context and more substantial for word-initial laterals than word-final laterals. Similarly, their German laterals were non-convergent with the monolinguals in two ways. Firstly, the bilinguals differed with regard to the acoustic specifications of their laterals, and secondly, the bilinguals failed to suppress the lateral allophony from their L1, leading to a non-targetlike allophonic pattern in their L2 laterals.
I interpret the lateral results to lack evidence that the L1 allophonic rule was affected by the presence of an L2; nevertheless, L1 change emerged in the phonetic specifications of laterals. Furthermore, the bilinguals did not establish a nativelike allophonic pattern in their L2, leading to non-convergence in the allophonic distribution as well as the phonetic realization of German laterals.
In this way, this dissertation provides evidence for L1 attrition in the distributional and the phonetic properties of liquids in the L1 of late bilinguals. In particular, the study presented in this dissertation provides evidence that L1 attrition is induced by the presence of a similar sound pattern in the L2. The pathway of attrition follows constraints not only underlyingly present in the L1 but also part of the universal laws of phonetics known to shape sound change. To explain these results, I draw from existing constraint grammars in phonological theory (such as Optimality Theory and Harmonic Grammar) to develop my Dynamic Constraints approach which allows the effects of external variables (e.g., L2 acquisition and its effect on the mind), and internal variables such as an increased likelihood of variability due to articulatory differences can be modeled using scaling factors which can interact with each other, the noise within the grammars, and the constraint weight itself. In this way, the model links previous findings on L1 attrition and its connections to diachronic and synchronic variability, offering insights into the links between the individual languages in a bilingual’s mind.
Reactive hydrocarbon species are important in a multitude of different scientific areas. In this thesis, the vibrational spectra of hydrocarbon radicals, biradicals and their reaction product have been studied in a gas-phase environment. The specific molecules investigated here, are of particular importance in the field of combustion and astrochemistry. They were produced from suitable precursors in a pyrolytically heated micro-reactor and subsequently seeded in an appropriate carrier gas. As methodology, IR/UV ion dip spectroscopy has been utilized, which delivers massselected gas-phase IR spectra of all ionizable species detectable in the molecular beam. These, with the help of DFT calculations, allow for determination of the fingerprint IR spectra, identification of mass carriers and formulation of potential reaction mechanisms. All studies have been conducted in collaboration with the group of Prof. Dr. Anouk M. Rjis and the necessary potent IR radiation has been provided by the free-electron laser FELIX. Thus, the IR/UV measurements have been executed at the FELIX Laboratory of the Radboud University in Nijmegen. The first study presented in this thesis is the investigation of ortho-benzyne in Chapter 3.1. This molecule is of particular interest due to its uncommon electronic structure and its role in high-temperature reactions. Although, the infrared spectrum of o-C6H4 was not accessible, a number of reaction products were identified via their fingerprint spectra. Masses in the range from 78 - 228 were assigned to their respective carrier. The identified species include typical PAHs like naphthalene, phenanthrene, up to triphenylene. The identified masses further suggest a PAH growth heavily influenced by diradical 1,4-cycloaddition followed by fragmentation, as well as by classical HACA- and PAC-like mechanisms. These results were augmented by threshold photoionization measurements from Engelbert Reusch, who identified lighter reaction products, which have insufficient IR absorption or unsuitable ionization characteristics to be identified in the IR/UV experiment. An interesting observation is the identification of m/z = 152. This carrier has been assigned differently by the IR and TPES experiments. Whereas the IR spectrum clearly identifies the species as 2-ethynylnaphthalene, the TPES evidently is in great agreement with biphenylene. This is a good example how different experimental methodologies can benefit from each other to gain a deeper insight into the actual science of a particular system. Probably, the prime example for an aromatically resonance stabilized radical is benzyl. This radical is of high importance for many combustion studies, as it represents the primary high-temperature decomposition product of toluene. The goal of the study was the identification of the benzyl self reaction products and the results are discussed in Section 3.2. The radical was pyrolytically produced by its respective nitrite precursor. The mass spectrum showed that the benzyl self reaction formed two products with C11 and three with C14 constitution. All mass peaks were evenly spaced by two mass units, respectively, which suggests a close relation in formation. Indeed, the C11 products were identified as diphenylmethane and fluorene, which are simply connected via cyclization. The heaviest product was identified as phenanthrene, which is formed via the cyclization of bibenzyl to 9,10-dihydrophenanthrene and subsequent elimination of hydrogen. This result was quiet interesting as the intermediate of this reaction was often assumed to be stilbene, which was not observed in the study. Hence, the reaction seems to undergo cyclization first before phenanthrene is finally formed via hydrogen elimination. Expanding the molecular frame of benzyl by an additional methyl group leads to the xylyl radicals and its decomposition product the xylylenes. Also important in combustion research, xylyl radicals represent the preferred decomposition products of xylene, a frequently used anti-knock agent in modern gasoline blends. After further hydrogen elimination the xylyl radicals can then form their respective xylylenes. The results of the xylyl experiments are discussed in Section 3.3. Here the gas-phase vibrational spectrum in the fingerprint region for all three isomers has been recorded for the first time in isolation. Although, all isomers have a very similar structure and symmetry, and consequently similar vibrational bands, the resolution of the experimental data was exceedingly sufficient for a clear assignment. Additionally, the dimerization products of meta- and para-xylyl could also be identified. A similar approach was taken to determine the fingerprint spectra for the xylylenes. Here, only para-xylylene could be unambiguously identified as the carrier of mass 104. For both ortho- and meta-xylylene precursors, only isomerization products were observed as the carriers of mass 104; benzocyclobutene and styrene, respectively. A possible explanation is elaborated upon in the troubleshooting Sec- tion 3.4.3.5. In the final experimental section a study on the decomposition of phthalide is presented. The objective of this experiment was mainly focused around the formation of C7 species, particularly the fulvenallenyl radical C7H5. In fact, the first experimental fingerprint spectrum of isolated C7H5 in the gas-phase was measured and is displayed in Fig. 3.45. Furthermore, the experiment demonstrates that the pyrolysis products of phthalide are excellent soot precursors, as many heavier reaction products have been identified. These include typical PAH species like naphthalene and phenanthrene as well as their methylated isomers. A large number of molecules with terminal ethynyl moieties indicate a strong influence of HACA growth in the experimental environment. However, many formation pathways of products have been discussed, which are formed involving experiment specific species, like C5H5 and C7H5, and often include expansion steps from 5- to 6-membered rings.
This thesis describes the synthesis and reactivity of NHC-stabilized Lewis-acid/Lewis-base adducts of alanes and gallanes (NHC = Me2ImMe, iPr2Im, iPr2ImMe, Dipp2Im, Dipp2ImH). As this field of research has developed tremendously, especially in the last five years, the first chapter provides an overview of the current state of knowledge.
The influence of electronegative π-donor-substituents on the stability of the NHC alane adducts is examined in chapter 2. For this purpose, the carbene stabilized alanes (NHC)∙AlH3 (NHC = iPr2Im, Dipp2Im) were reacted with secondary amines of different steric demand and with phenols. The π-donor substituents saturate the Lewis acidic aluminium center and coordination of a second NHC-ligand was not observed. The strongly electronegative N and O substituents increase the Lewis acidity of the aluminium atom, which leads to stronger Al-CNHC as well as Al-H bonds, which inhibits the insertion of the carbene into the Al-H bond.
In Chapter 3 the development of the synthesis and reactivity of carbene-stabilized gallanes is presented. The synthesis of NHC gallane adducts (NHC)∙GaH3, (NHC)∙GaH2Cl and (NHC)∙GaHCl2 and their reactivity towards NHCs and cAACMe were investigated in detail. The reaction of the mono- and dichlorogallanes (NHC)∙GaH2Cl and (NHC)∙GaHCl2 (NHC = iPr2ImMe, Dipp2Im) with cAACMe led to insertion of the cAACMe with formation of chiral and achiral compounds depending on the sterically demand of the used NHC. Furthermore, the formation of bis-alkylgallanes was observed for the insertion of two equivalents of cAACMe with release of the NHC ligand.
Chapter 4 describes investigations concerning the synthesis and reactivity of NHC-stabilized iodoalanes and iodogallanes, which are suitable for the formation of cationic aluminium and gallium dihydrides. The reaction of (NHC)∙EH2I (E = Al, Ga) stabilized by the sterically less demanding NHCs (NHC = Me2ImMe, iPr2Im, iPr2ImMe) with an additional equivalent of the NHC led to the formation of the cationic bis-NHC aluminium and gallium dihydrides [(NHC)2∙AlH2]+I- and [(NHC)2∙GaH2]+I-. Furthermore, the influence of the steric demand of the used NHC was investigated. The adduct (Dipp2Im)∙GaH2I was reacted with an additional equivalent of Dipp2Im. Due to the bulk of the NHC used, rearrangement of one of the NHC ligands from normal to abnormal coordination occurred and the cationic gallium dihydride [(Dipp2Im)∙GaH2(aDipp2Im)] was isolated.
Chapter 5 of this thesis reports investigations concerning the reduction of cyclopentadienyl-substituted alanes and gallanes with singlet carbenes. NHC stabilized pentamethylcyclopentadienyl aluminium and gallium dihydrides (NHC)∙Cp*MH2 (E = Al, Ga) were prepared by the reaction of (AlH2Cp*)3 with the corresponding NHCs or by the salt elimination of (NHC)∙GaH2I with KCp*. The gallane adducts decompose at higher temperatures with reductive elimination of Cp*H and formation of Cp*GaI. . The reductive elimination is preferred for sterically demanding NHCs (Dipp2Im > iPr2ImMe > Me2ImMe). In addition, NHC ring expansion of the backbone saturated carbene Dipp2ImH was observed for the reaction of the NHC with (AlH2Cp*)3, which led to (RER-Dipp2ImHH2)AlCp*. Furthermore, the reactivity of the adducts (NHC)∙Cp*EH2 (E = Al, Ga) towards cAACMe was investigated. The reaction of the alane adducts stabilized by the sterically more demanding NHCs iPr2ImMe and Dipp2Im afforded the exceptionally stable insertion product (cAACMeH)Cp*AlH V-10 with liberation of the NHC. The reaction of the gallium hydrides (NHC)∙Cp*GaH2 with cAACMe led to the reductive elimination of cAACMeH2 and formation of Cp*GaI.
A variety of neutral and cationic carbene-stabilized alanes and gallanes are presented in this work. The introduction of electronegative π-donor substituents (Cl-, I-, OR-, NR2-) and the investigations on the thermal stability of these compounds led to the conclusion that the stability of alanes and gallanes increased significantly by such a substitution. Investigations on the reactivity of the NHC adducts towards cAACMe resulted in various insertion products of the carbene into the Al-H or Ga-H bonds and the first cAACMe stabilized dichlorogallane was isolated. Furthermore, a first proof was provided that carbenes can be used specifically for the (formal) reduction of group 13 hydrides of the higher homologues. Thus, the synthesis of Cp*GaI from the reaction of (NHC)∙Cp*GaH2 with cAACMe was developed. In the future, this reaction pathway could be of interest for the preparation of other low-valent compounds of aluminium and gallium.
This thesis aimed to evaluate the possibility to use nanoparticles as antifungal drug carriers as well as their potential application in screening and diagnostics of invasive aspergillosis. The interaction of nanogels, superparamagnetic iron oxide nanoparticles (SPIOs) and gold nanoparticles (GNP) with fungal-specific polysaccharides, cells and biofilms was investigated.
Firstly, it was evaluated how the charge of nanogels influence their interaction with fungal cells. Linear poly(glycidol)s (pG) and poly(2-methyl-2-oxazoline) (pMOx) polymers were synthesized and further functionalized with thiol groups for preparation of redox responsive nanogels. Results showed that negatively charged nanogels were internalized by the fungi to a much greater extent than positively charged ones.
Furthermore, it was investigated how amphiphilicity of polymers used for preparation of nanogels influences nanogel-fungi interaction. It was concluded that nanogels prepared from polymers with degree of functionalization of 10% had the strongest interaction, regardless the length of the alkyl chain. Moreover, amphotericin B-loaded nanogels had a higher antifungal effect and lower toxicity towards mammalian cells than the free drug. In addition, inverse nanoprecipitation of thiol functionalized pGs was shown to be successful for preparation of nanogels with narrow size distribution.
It was also demonstrated that crosslinking of the polymeric coating in hydrogel-like network with thiol functionalized pGs improved the SPIOs imaging performance.
Finally, it was investigated whether GNPs could be used as model particles for the assessment of targeting to fungi. Fc dectin-1 was conjugated covalently to GNPs decorated with pGs, and binding affinity towards β-glucans was tested by surface plasmon resonance.
In summary, this thesis demonstrated evidence for the potential of pG nanogels and pG coated nanoparticles for antifungal therapy and diagnostics of fungal infections caused by A. fumigatus.
This thesis encompasses the development of the additive manufacturing technology melt electrowriting, in order to achieve the improved applicability in biomedical applications and design of scaffolds. Melt electrowriting is a process capable of producing highly resolved structures from microscale fibres. Nevertheless, there are parameters influencing the process and it has not been clear how they affect the printing result. In this thesis the influence of the processing and environmental parameters is investigated with the impact on their effect on the jet speed, fibre diameter and scaffold morphology, which has not been reported in the literature to date and significantly influences the printing quality. It was demonstrated that at higher ambient printing temperatures the fibres can be hampered to the extent that the individual fibres are completely molten together and increased air humidity intensifies this effect. It was also shown how such parameters as applied voltage, collector distance, feed pressure and polymer temperature influence the fibre diameter and critical translation speed. Based on these results, a detailed investigation of the fibre diameter control and printing of scaffolds with novel architectures was made. As an example, a 20-fold diameter ratio is obtained within one scaffold by changing the collector speed and the feed pressure during the printing process. Although the pressure change caused fibre diameter oscillations, different diameter fibres were successfully integrated into two scaffold designs, which were tested for mesenchymal stromal cell suspension and adipose tissue spheroid seeding. Further design and manufacturing aspects are discussed while jet attraction to the printed structures is illuminated in connection with the fibre positioning control of the multilayer scaffolds. The artefacts that appear with the increasing scaffold height of sinusoidal laydown patterns are counteracted by layer-by-layer path adjustment. For the prediction of a printing error of the first deposited layer, an algorithm is developed, that utilizes an empirical jet lag equation and the speed of fibre deposition. This model was able to predict the position of the printing fibre with up to ten times smaller error than the of the programmed path. The same model allows to qualitatively assess the fibre diameter change along the nonlinear pattern as well as to indicate the areas of the greatest pattern deformation with the growing scaffold height. Those results will be used in the later chapters for printing of the novel MEW structures for biomedical applications. In the final chapter the concept of multimodal scaffold was combined with the suspended fibre printing, for the manufacturing of the MEW scaffolds with controlled pore interconnectivity in three dimensions. Those scaffolds were proven to be a promising substate for the control of the neurite spreading of the chick DRG neurons.
In peripheral nervous system (PNS), the blood-nerve barrier (BNB) and myelin barrier (MB) are important physiological fences for maintaining the environment for axons, Schwann cells and other associated cells within peripheral nerves. The perineurium surrounding the nerves and endoneurial vessels nourishing the nerves compose the BNB. Schwann cells wrapping around neurons form the MB. Destruction or malfunction of the barriers has been postulated as an initial step in the development of pathologic conditions concerning human peripheral nerves, such as traumatic neuropathy and the disease of chronic inflammatory demyelination polyneuropathy (CIDP).
Tight junction proteins (TJPs) are intercellular junctions building the microstructure of barriers. They play a key role in tightly connecting adjacent cells, controlling the passage of ions, water and other molecules via the paracellular pathway, and maintaining the cell polarity. Among the family of TJPs, claudins are the major structural components which form the backbone of TJs. Certain key TJPs [e.g. claudins (claudin-1, -5, -19, occludin, zona occludens (ZO-1)] have been identified in neural barriers and explored for therapeutic targets. The expression of Cldn12 gene has been documented in human/rodent tibial nerves, spinal cord and DRG. However, the role of claudin-12 in PNS is unknown.
In the present study, we firstly found a loss of claudin-12 immunoreactivity (IR) in male or postmenopausal female patients with painful CIDP or non-inflammatory polyneuropathy (PNP). Then, we utilized male and female Cldn12-KO mice and the chronic constriction injury (CCI) model. Cldn12 mRNA and IR were reduced in WT mice after nerve injury. Deletion of Cldn12 via general knockout (KO) induced mechanical allodynia at baseline level and after CCI in time-dependent manner in male mice. KO of Cldn12 in males resulted in loss of small axons, perineurial barrier and MB breakdown, as well as TJP complex disruption with claudin-1, -19 and Pmp22 reduction. Moreover, local Cldn12 siRNA application mimicked mechanical allodynia and MB breakdown.
In conclusion, claudin-12 deficiency is associated with painful CIDP/non-inflammatory PNP. Claudin-12 is a regulatory TJP crucial for mechanical nociception, perineurial barrier and MB integrity, and proper TJP composition in mice. Therefore, further investigating the functions of claudin-12 and its mechanism is important to prompt the development of new therapeutic approaches for painful neuropathies.
Over the last decades, cybersecurity has become an increasingly important issue. Between 2019 and 2011 alone, the losses from cyberattacks in the United States grew by 6217%. At the same time, attacks became not only more intensive but also more and more versatile and diverse. Cybersecurity has become everyone’s concern. Today, service providers require sophisticated and extensive security infrastructures comprising many security functions dedicated to various cyberattacks. Still, attacks become more violent to a level where infrastructures can no longer keep up. Simply scaling up is no longer sufficient. To address this challenge, in a whitepaper, the Cloud Security Alliance (CSA) proposed multiple work packages for security infrastructure, leveraging the possibilities of Software-defined Networking (SDN) and Network Function Virtualization (NFV).
Security functions require a more sophisticated modeling approach than regular network functions. Notably, the property to drop packets deemed malicious has a significant impact on Security Service Function Chains (SSFCs)—service chains consisting of multiple security functions to protect against multiple at- tack vectors. Under attack, the order of these chains influences the end-to-end system performance depending on the attack type. Unfortunately, it is hard to predict the attack composition at system design time. Thus, we make a case for dynamic attack-aware SSFC reordering. Also, we tackle the issues of the lack of integration between security functions and the surrounding network infrastructure, the insufficient use of short term CPU frequency boosting, and the lack of Intrusion Detection and Prevention Systems (IDPS) against database ransomware attacks.
Current works focus on characterizing the performance of security functions and their behavior under overload without considering the surrounding infrastructure. Other works aim at replacing security functions using network infrastructure features but do not consider integrating security functions within the network. Further publications deal with using SDN for security or how to deal with new vulnerabilities introduced through SDN. However, they do not take security function performance into account. NFV is a popular field for research dealing with frameworks, benchmarking methods, the combination with SDN, and implementing security functions as Virtualized Network
Functions (VNFs). Research in this area brought forth the concept of Service Function Chains (SFCs) that chain multiple network functions after one another. Nevertheless, they still do not consider the specifics of security functions. The mentioned CSA whitepaper proposes many valuable ideas but leaves their realization open to others.
This thesis presents solutions to increase the performance of single security functions using SDN, performance modeling, a framework for attack-aware SSFC reordering, a solution to make better use of CPU frequency boosting, and an IDPS against database ransomware.
Specifically, the primary contributions of this work are:
• We present approaches to dynamically bypass Intrusion Detection Systems (IDS) in order to increase their performance without reducing the security level. To this end, we develop and implement three SDN-based approaches (two dynamic and one static).
We evaluate the proposed approaches regarding security and performance and show that they significantly increase the performance com- pared to an inline IDS without significant security deficits. We show that using software switches can further increase the performance of the dynamic approaches up to a point where they can eliminate any throughput drawbacks when using the IDS.
• We design a DDoS Protection System (DPS) against TCP SYN flood at tacks in the form of a VNF that works inside an SDN-enabled network. This solution eliminates known scalability and performance drawbacks of existing solutions for this attack type.
Then, we evaluate this solution showing that it correctly handles the connection establishment and present solutions for an observed issue. Next, we evaluate the performance showing that our solution increases performance up to three times. Parallelization and parameter tuning yields another 76% performance boost. Based on these findings, we discuss optimal deployment strategies.
• We introduce the idea of attack-aware SSFC reordering and explain its impact in a theoretical scenario. Then, we discuss the required information to perform this process.
We validate our claim of the importance of the SSFC order by analyzing the behavior of single security functions and SSFCs. Based on the results, we conclude that there is a massive impact on the performance up to three orders of magnitude, and we find contradicting optimal orders
for different workloads. Thus, we demonstrate the need for dynamic reordering.
Last, we develop a model for SSFC regarding traffic composition and resource demands. We classify the traffic into multiple classes and model the effect of single security functions on the traffic and their generated resource demands as functions of the incoming network traffic. Based on our model, we propose three approaches to determine optimal orders for reordering.
• We implement a framework for attack-aware SSFC reordering based on this knowledge. The framework places all security functions inside an SDN-enabled network and reorders them using SDN flows.
Our evaluation shows that the framework can enforce all routes as desired. It correctly adapts to all attacks and returns to the original state after the attacks cease. We find possible security issues at the moment of reordering and present solutions to eliminate them.
• Next, we design and implement an approach to load balance servers while taking into account their ability to go into a state of Central Processing Unit (CPU) frequency boost. To this end, the approach collects temperature information from available hosts and places services on the host that can attain the boosted mode the longest.
We evaluate this approach and show its effectiveness. For high load scenarios, the approach increases the overall performance and the performance per watt. Even better results show up for low load workloads, where not only all performance metrics improve but also the temperatures and total power consumption decrease.
• Last, we design an IDPS protecting against database ransomware attacks that comprise multiple queries to attain their goal. Our solution models these attacks using a Colored Petri Net (CPN).
A proof-of-concept implementation shows that our approach is capable of detecting attacks without creating false positives for benign scenarios. Furthermore, our solution creates only a small performance impact.
Our contributions can help to improve the performance of security infrastructures. We see multiple application areas from data center operators over software and hardware developers to security and performance researchers. Most of the above-listed contributions found use in several research publications.
Regarding future work, we see the need to better integrate SDN-enabled security functions and SSFC reordering in data center networks. Future SSFC should discriminate between different traffic types, and security frameworks should support automatically learning models for security functions. We see the need to consider energy efficiency when regarding SSFCs and take CPU boosting technologies into account when designing performance models as well as placement, scaling, and deployment strategies. Last, for a faster adaptation against recent ransomware attacks, we propose machine-assisted learning for database IDPS signatures.
Neuropsychiatric disorders, such as attention-deficit/hyperactivity disorder (ADHD), represent a burden which deeply impair the patient’s life. Neurobiological research has therefore increasingly focused on the examination of brain neurotransmitter systems, such as the serotonin (5-HT) system, since a dysfunction has been repeatedly implicated in the pathology of these diseases. However, investigation of functional human neurons in vitro has been restricted by technical limitations for a long time until the discovery of human induced pluripotent stem cells (iPSCs) revolutionized the field of experimental disease models. Since the pathogenesis of neuropsychiatric disorders involves a complex genetic component, genome-wide association studies (GWAS) revealed numerous risk genes that are associated with an increased risk for ADHD. For instance, the novel ADHD candidate gene SLC2A3 which encodes the glucose transporter-3 (GLUT3), facilitates the transport of glucose across plasma membranes and is essential for the high energy demand of several cell types, such as stem cells and neurons. Specifically, copy number variants (CNVs) of SLC2A3 might therefore impact cerebral glucose metabolism as well as the assembly of synaptic proteins in human neurons which might contribute to the pathogenesis of ADHD.
We hypothesized that an altered SLC2A3 gene dosage in human neurons can exert diverse protective or detrimental effects on neurodevelopmental processes as well as the coping of glucometabolic stress events, such as hypo- and hyperglycaemic conditions. The generation of specific iPSC lines from ADHD patients and healthy probands served as basis to efficiently differentiate stem cells into 5-HT specific neurons. Using this neuronal culture, we were able to examine effects of SLC2A3 CNVs on the basal expression of SCL2A3 and GLUT3 in human neurons. Furthermore, the focus was on potentially altered coping of the cells with glucose deprivation and the treatment with specific high- and low glycaemic media.
High-resolution fluorescence imaging in combination with electrophysiological and molecular biological techniques showed that:
1) The generated human iPSCs are fully reprogrammed human stem cells showing typical characteristics of embryonic stem cell-like morphology, growth behaviour, the ability to differentiate into different cell types of the human body and the expression of pluripotency-specific markers.
2) The neuronal subtype derived from our stem cells display typical characteristics of 5-HT specific median and dorsal neurons and forms synapses reflected by the expression of pre- and postsynaptic proteins.
3) Even if SLC2A3 CNVs influence SLC2A3 and GLUT3 basal expression, no significant alterations in gene and protein expression caused by hyper- and hypoglycaemic conditions, nor in the assembly of proteins associated with synapse formation could be observed in human iPSC-derived neurons.
The transcription factor NRF2 is considered as the master regulator of cytoprotective and ROS-detoxifying gene expression. Due to their vulnerability to accumulating reactive oxygen species, melanomas are dependent on an efficient oxidative stress response, but to what extent melanomas rely on NRF2 is only scarcely investigated so far. In tumor entities harboring activating mutations of NRF2, such as lung adenocarcinoma, NRF2 activation is closely connected to therapy resistance. In melanoma, activating mutations are rare and triggers and effectors of NRF2 are less well characterized.
This work revealed that NRF2 is activated by oncogenic signaling, cytokines and pro-oxidant triggers, released cell-autonomously or by the tumor microenvironment. Moreover, silencing of NRF2 significantly reduced melanoma cell proliferation and repressed well-known NRF2 target genes, indicating basal transcriptional activity of NRF2 in melanoma. Transcriptomic analysis showed a large set of deregulated gene sets, besides the well-known antioxidant effectors. NRF2 suppressed the activity of MITF, a marker for the melanocyte lineage, and induced expression of epidermal growth factor receptor (EGFR), thereby stabilizing the dedifferentiated melanoma phenotype and limiting pigmentation markers and melanoma-associated antigens. In general, the dedifferentiated melanoma phenotype is associated with a reduced tumor immunogenicity. Furthermore, stress-inducible cyclooxygenase 2 (COX2) expression, a crucial immune-modulating gene, was regulated by NRF2 in an ATF4-dependent manner. Only in presence of both transcription factors was COX2 robustly induced by H2O2 or TNFα. COX2 catalyzes the first step of the prostaglandin E2 (PGE2) synthesis, which was described to be associated with tumor immune evasion and reduction of the innate immune response.
In accordance with these potentially immune-suppressive features, immunocompetent mice injected with NRF2 knockout melanoma cells had a strikingly longer tumor-free survival compared to NRF2-proficient cells. In line with the in vitro data, NRF2-deficient tumors showed suppression of COX2 and induction of MITF. Furthermore, transcriptomic analyses of available tumors revealed a strong induction of genes belonging to the innate immune response, such as RSAD2 and IFIH1. The expression of these genes strongly correlated with immune evasion parameters in human melanoma datasets and NRF2 activation or PGE2 supplementation limited the innate immune response in vitro.
In summary, the stress dependent NRF2 activation stabilizes the dedifferentiated melanoma phenotype and facilitates the synthesis of PGE2. As a result, NRF2 reduces gene expression of the innate immune response and promotes the generation of an immune-cold tumor microenvironment. Therefore, NRF2 not only elevated the ROS resilience, but also strongly contributed to tumor growth, maintenance, and immune control in cutaneous melanoma.
Chimeric antigen receptor (CAR)-modified T cells targeting FLT3 in acute myeloid leukemia (AML)
(2021)
Adoptive immunotherapy using chimeric antigen receptor (CAR)-modified T cells targeting CD19 has shown remarkable therapeutic efficacy against B cell leukemia and lymphoma, and provided proof of concept for therapeutic potential in other hematologic malignancies. Acute myeloid leukemia (AML) is an entity with an unmet medical need for effective and curative treatments. Therefore, there is a strong desire for development of potentially curative CAR-T cell immunotherapy for AML treatment.
FMS-like tyrosine kinase 3 (FLT3) is a homodimeric transmembrane protein expressed uniformly by AML blasts. FLT3 plays a vital role in the survival of AML blasts and is a key driver of leukemia-genesis in AML cases with internal tandem duplication (FLT3ITD) and tyrosine kinase domain (TKD) mutations. These attributes suggest that FLT3 could be an excellent target for CAR-T cell immunotherapy. Here, we engineered human CD4+ and CD8+ T cells to express FLT3-specific CARs and demonstrate that they confer potent reactivity against AML cell lines and primary AML blasts that express either wild-type FLT3 or FLT3-ITD. Further, we show that FLT3 CAR-T cells exert potent antileukemia activity in xenograft models of AML and induce complete remissions.
We also demonstrate that FLT3-expression on FLT3-ITD+ AML cells can be augmented by FLT3 inhibitors, which lead to increased recognition by CARs and improved efficacy of FLT3 CAR-T cells. We confirmed this principle with three different FLT3 inhibitors which are at distinct stages of clinical development i.e. Phase II/III clinical trial (crenolanib, quizartinib) and clinically approved (midostaurin). Further, we observed the strongest anti-leukemia activity of FLT3 CAR-T cells in combination with crenolanib in vivo.
FLT3 is known to be expressed by normal hematopoietic stem and progenitor cells. We evaluated FLT3-expression on normal hematopoietic stem cells (HSCs) using flow cytometry and confirmed lower level of FLT3-expression on HSCs and progenitors compared to AML cells. As anticipated, we found that FLT3 CAR-T cells recognize normal HSCs in vitro and in vivo, and compromise normal hematopoiesis, suggesting that adoptive therapy with FLT3 CAR-T cells will require successive CAR-T cell depletion and allogeneic HSC transplantation (HSCT) to reconstitute the hematopoietic system. Moreover, an FLT3 inhibitor treatment does not increase FLT3-expression on HSCs. Accordingly, we demonstrate that the depletion of FLT3 CAR-T cells is possible with inducible Caspase 9 (iCasp9) safety switch.
Collectively, our data establish FLT3 as a novel CAR target in AML with particular relevance in high-risk FLT3-ITD+ AML. Our data demonstrate that FLT3 CAR-T cells act synergistically with FLT3 inhibitors in FLT3-ITD+ AML. i.e. FLT3 inhibitors-induced upregulation of FLT3 in FLT3-ITD+ AML cells enhances their recognition and elimination by FLT3 CAR-T cells. Due to recognition of normal HSCs, the clinical use of FLT3 CART cells is likely restricted to a defined therapeutic window and must be followed by CART cell depletion and allogeneic HSCT for hematopoietic reconstitution. The data provide rational to use FLT3 CAR-T cells in combination with FLT3 inhibitors to augment the anti-leukemia efficacy of FLT3 CAR-T cells in high-risk FLT3-ITD+ AML patients, and to mitigate the risk of relapse with FLT3-negative AML variants, which could otherwise develop under therapeutic pressure. The data provide proof of concept for synergistic use of CAR-T cell immunotherapy and small molecule targeted therapy and encourage the clinical evaluation of this combination treatment in high-risk patients with FLT3-ITD+ AML.
CD4+Foxp3+ Tregs can be induced in vitro by TGF-b stimulation. Here, CNS1 deficient CD4+ T cells were found to show compromised Foxp3 upregulation in vitro compared to CNS1 WT CD4+ T cells. Moreover, we could demonstrate that antigen-specific CD4+Foxp3+ Tregs can be induced in vivo by tolerogenic antigen stimulation. Parenteral application of agonist BDC2.5 mimetope induced Foxp3 expression in CD4+ BDC2.5 tg cells. We could show that induction of Foxp3 expression by tolerogenic peptide stimulation is impaired in CNS1 deficient CD4+ BDC2.5 tg cells compared to CNS1 WT CD4+ BDC2.5 tg controls. These results indeed indicate that in vivo induced Tregs share mechanistic characteristics with naturally occurring pTregs.
Additional in vivo experiments with blocking monoclonal anti-TGF-b demonstrated that high dosage TGF-b blockade abrogated peptide-induced Foxp3 expression in CNS1 WT BDC2.5 tg CD4+ cells, akin to what is seen for impaired Foxp3 upregulation in peptide-stimulated CNS1 KO BDC2.5 tg CD4+ cells without anti-TGF-b-treatment.
Adoptive transfer of CD4+CD25- T cells in T cell deficient recipients dramatically increased CD4+Foxp3+ Treg frequencies in both CNS1 WT CD4+ and CNS1 KO CD4+ donor cells. Despite an initially lower increase in Foxp3 expression in CNS1 KO donor cells compared to CNS1 WT donor cells early after transfer, in this setting impaired Treg induction in CNS1 deficient cells was not preserved over time. Consequently, diabetes onset and progression were indistinguishable between mice that received CNS1 WT or CNS1 KO donor cells. Additional Foxp3 induction by peptide stimulation of immunodeficient recipients after transfer of CNS1 WT BDC2.5. tg or CNS1 KO BDC2.5 tg donor cells was not detectable.
The Immune system exerts its response against invading pathogens via a cumulative, sequential cooperation of immune cells coordinated by their secreted products. Immune cells, such as macrophages and dendritic cells (DCs), express toll-like receptors (TLRs) to sense the presence of pathogens through pathogen-associated molecular patterns (PAMPs). The interaction of PAMPs with TLRs elicits a cytosolic signaling cascade that enhances the expression of genes to stimulate inflammation. Interleukin 1 receptor-associated kinase 2 (IRAK2) is a component of the TLR signaling pathway. IRAK2 transduces the TLR signal via a direct interaction with TNF receptor-associated factor 6 (TRAF6) and subsequent enhancement of its ubiquitination.
During my PhD thesis, I determined that a 55-amino acid long stretch at the C-terminal end of IRAK2 is important for TLR signaling. Overexpression of C-terminal truncated IRAK2 (IRAK2Δ55) in the murine macrophage cell line RAW 264.7 led to impaired CD40 expression after TLR4 stimulation by Lipopolysaccharide (LPS). I observed attenuated competency of IRAK2Δ55 in restoring a full TLR signaling response i.e. IL-6 secretion, NO production and CD40 expression in IRAK2-deficient RAW cells generated via CRISPR-Cas9 approach. Additionally, diminished TLR4 induced activation of nuclear factor κB (NF-κB) and extracellular signal related kinase (ERK) was observed with IRAK2Δ55 reconstituted RAW cells as compared to cell reconstituted with wildtype IRAK2.
IRAK2Δ55 reconstituted RAW cells also exhibited reduced TLR4-induced cell death and phosphorylation of receptor interacting protein kinase 3 (RIP3). Co-immunoprecipitation experiments in HEK 293T cells showed that IRAK2Δ55 was still able to bind to TRAF6 alike IRAK2 but failed to induce ubiquitination of TRAF6. In conclusion, the results suggest that the IRAK2 TRAF6 interaction is not sufficient to sustain full TLR signaling. An C-terminus-dependent unknown molecular mechanism is also involved.
Through my PhD work, I also analyzed a B cell lineage-specific HECTD1 knock-out mice. HECTD1 is an E3 ubiquitin ligase for various substrate proteins, such as heat shock protein 90 (HSP90), adenomatous polyposis coli and phosphatidylinositol phosphate kinase type 1 γ. Hsp90 regulates a variety of signaling molecules in NF-κB activation pathways which are essential for an optimal B cell response.
HECTD1-deficient pro-B cells developed normally into mature B cells. However, TLR4 stimulated HECTD1-deficient B cells displayed reduced immunoglobulin (Ig) production in in vitro cultures. In addition, mice with HECTD1-deficient B cells showed a diminished Ig response after nitrophenylacetyl-keyhole limpet hemocyanin immunization. Thus, HECTD1 is necessary for efficient Ig secretion.
The role of BRCA1 and DCP1A in the coordination of transcription and replication in neuroblastoma
(2021)
The deregulation of the MYC oncoprotein family plays a major role in tumorigenesis and tumour maintenance of many human tumours. Because of their structure and nuclear localisation, they are defined as undruggable targets which makes it difficult to find direct therapeutic approaches. An alternative approach for targeting MYC-driven tumours is the identification and targeting of partner proteins which score as essential in a synthetic lethality screen.
Neuroblastoma, an aggressive entity of MYCN-driven tumours coming along with a bad prognosis, are dependent on the tumour suppressor protein BRCA1 as synthetic lethal data showed. BRCA1 is recruited to promoter regions in a MYCN-dependent manner. The aim of this study was to characterise the role of BRCA1 in neuroblastoma with molecular biological methods.
BRCA1 prevents the accumulation of RNA Polymerase II (RNAPII) at the promoter region. Its absence results in the formation of DNA/RNA-hybrids, so called R-loops, and DNA damage. To prevent the accumulation of RNAPII, the cell uses DCP1A, a decapping factor known for its cytoplasmatic and nuclear role in mRNA decay. It is the priming factor in the removal of the protective 5’CAP of mRNA, which leads to degradation by exonucleases. BRCA1 is necessary for the chromatin recruitment of DCP1A and its proximity to RNAPII. Cells showed upon acute activation of MYCN a higher dependency on DCP1A. Its activity prevents the deregulation of transcription and leads to proper coordination of transcription and replication. The deregulation of transcription in the absence of DCP1A results in replication fork stalling and leads to activation of the Ataxia telangiectasia and Rad3 related (ATR) kinase. The result is a disturbed cell proliferation to the point of increased apoptosis. The activation of the ATR kinase pathway in the situation where DCP1A is knocked down and MYCN is activated, makes those cells more vulnerable for the treatment with ATR inhibitors.
In summary, the tumour suppressor protein BRCA1 and the decapping factor DCP1A, mainly known for its function in the cytoplasm, have a new nuclear role in a MYCN-dependent context. This study shows their essentiality in the coordination of transcription and replication which leads to an unrestrained growth of tumour cells if uncontrolled.
The detrimental impacts of climate variability on water, agriculture, and food resources in East Africa underscore the importance of reliable seasonal climate prediction. To overcome this difficulty RARIMAE method were evolved. Applications RARIMAE in the literature shows that amalgamating different methods can be an efficient and effective way to improve the forecasts of time series under consideration. With these motivations, attempt have been made to develop a multiple linear regression model (MLR) and a RARIMAE models for forecasting seasonal rainfall in east Africa under the following objectives:
1. To develop MLR model for seasonal rainfall prediction in East Africa.
2. To develop a RARIMAE model for seasonal rainfall prediction in East Africa.
3. Comparison of model's efficiency under consideration
In order to achieve the above objectives, the monthly precipitation data covering the period from 1949 to 2000 was obtained from Climate Research Unit (CRU). Next to that, the first differenced climate indices were used as predictors.
In the first part of this study, the analyses of the rainfall fluctuation in whole Central- East Africa region which span over a longitude of 15 degrees East to 55 degrees East and a latitude of 15 degrees South to 15 degrees North was done by the help of maps. For models’ comparison, the R-squared values for the MLR model are subtracted from the R-squared values of RARIMAE model. The results show positive values which indicates that R-squared is improved by RARIMAE model. On the other side, the root mean square errors (RMSE) values of the RARIMAE model are subtracted from the RMSE values of the MLR model and the results show negative value which indicates that RMSE is reduced by RARIMAE model for training and testing datasets.
For the second part of this study, the area which is considered covers a longitude of 31.5 degrees East to 41 degrees East and a latitude of 3.5 degrees South to 0.5 degrees South. This region covers Central-East of the Democratic Republic of Congo (DRC), north of Burundi, south of Uganda, Rwanda, north of Tanzania and south of Kenya. Considering a model constructed based on the average rainfall time series in this region, the long rainfall season counts the nine months lead of the first principal component of Indian sea level pressure (SLP_PC19) and the nine months lead of Dipole Mode Index (DMI_LR9) as selected predictors for both statistical and predictive model. On the other side, the short rainfall season counts the three months lead of the first principal component of Indian sea surface temperature (SST_PC13) and the three months lead of Southern Oscillation Index (SOI_SR3) as predictors for predictive model. For short rainfall season statistical model SAOD current time series (SAOD_SR0) was added on the two predictors in predictive model. By applying a MLR model it is shown that the forecast can explain 27.4% of the total variation and has a RMSE of 74.2mm/season for long rainfall season while for the RARIMAE the forecast explains 53.6% of the total variation and has a RMSE of 59.4mm/season. By applying a MLR model it is shown that the forecast can explain 22.8% of the total variation and has a RMSE of 106.1 mm/season for short rainfall season predictive model while for the RARIMAE the forecast explains 55.1% of the total variation and has a RMSE of 81.1 mm/season.
From such comparison, a significant rise in R-squared, a decrease of RMSE values were observed in RARIMAE models for both short rainfall and long rainfall season averaged time series. In terms of reliability, RARIMAE outperformed its MLR counterparts with better efficiency and accuracy. Therefore, whenever the data suffer from autocorrelation, we can go for MLR with ARIMA error, the ARIMA error part is more to correct the autocorrelation thereby improving the variance and productiveness of the model.
The greatest problems faced during the 21st century is climate change which is a big threat to food security due to increasing number of people. The increase in extreme weather events, such as drought and heat, makes it difficult to cultivate conventional crops that are not stress tolerant. As a result, increasing irrigation of arable land leads to additional salinization of soils with plant-toxic sodium and chloride ions. Knowledge about the adaptation strategies of salt-tolerant plants to salt stress as well as detailed knowledge about the control of transpiration water loss of these plants are therefore important to guarantee productive agriculture in the future. In the present study, I have characterized salt sensitive and salt tolerant plant species at physiological, phenotypic and transcriptomic level under short (1x salt) and long-time (3x) saline growth conditions. Two approaches used for long-time saline growth conditions (i.e increasing saline conditions (3x salt) and constant high saline conditions (3x 200 mM salt) were successfully developed in the natural plant growth medium i.e soil. Salt sensitive plants, A. thaliana, were able to survive and successfully set seeds at the toxic concentrations on the increasing saline growth mediums, with minor changes in the phenotype. However, under constant high saline conditions they could not survive. This was due to keeping low potassium, and high salt ions (sodium and chloride) in the photosynthetic tissue i.e leaf. Similarly, high potassium and low salt ions in salt tolerant T. salsuginea on both saline environments were the key for survival of this plant species. Being salt tolerant, T. salsuginea always kept high potassium levels and low sodium (during 1x) and chloride levels (during both 1x and 3x) in the leaf tissue.
A strict control over transpirational water loss via stomata (formed by pair of guard cells) is important to maintain plant water balance. Aperture size of the stomata is regulated by the turgidity of the guard cells. More turgid the guard cells, bigger the apertures are and hence more transpiration. Under osmotic stress, the water loss is reduced which was evident in the salt sensitive A. thaliana plants under both short and long-time saline growth conditions. As the osmotic stress was only increased during long time saline growth conditions in T. salsuginea therefore, water loss was also decreased only under these saline conditions. Environmental CO2 assimilation also takes place via stomata in plants which then is used for photosynthesis. Stomatal apertures also influence CO2 assimilation. As the light absorbing photosynthetic pigments were more affected in A. thaliana, therefore photosynthetic activity of the whole plant was also reduced. Similarly, both short and long-time saline growth conditions also reduced the effective quantum yield of A. thaliana guard cells. Growth of the plant is dependent on energy which comes from photosynthesis. Reduced environmental CO2 assimilation would affect photosynthesis and hence growth, which was clearly observed in A. thaliana guard cells under long-time saline growth conditions.
Major differences in both guard cells types were observed in their chloride and potassium levels. Energy Dispersive X-Ray Analysis (EDXA) suggested strict control of chloride accumulation in T. salsuginea guard cells as the levels remain unchanged under all conditions. Similarly, use of sodium in place of potassium for osmotic adjustments seems to be dependent on Na+/K+ rations in both guard cell types. Increased salt ions and reduced potassium levels in A. thaliana guard cells posed negative effect on photochemistry which in turn increased ROS metabolism and reduced energy related pathways at transcriptomic level in this plant species. Moreover, photosynthesis was strongly affected in A. thaliana guard cells both at transcriptomic and physiological levels. Similarly, global phytohormones induced changes were more evident in A. thaliana guard cells especially on 3x salt medium. Among all phytohormones, genes under the control of auxin were more differentially expressed in A. thaliana guard cells which suggests wide changes in growth and development in this plant species under salinity.
Phytohormone, ABA is vital for closing the stomata under abiotic stress conditions. Increased levels of ABA during saline conditions led to efflux of potassium and counter anions (chloride, malate, nitrate) from the guard cells which caused the outward flow of water and hence reduction in turgor pressure. Reduced turgor pressure led to reduced water loss and CO2 assimilation especially in A. thaliana. Guard cells of both plant species synthesized ABA during saline conditions which was reflected from transcriptomic data and ABA quantification in the guard cells. ABA induced signaling in both plant species varied at the ABA receptor (PYL/PYR) levels where totally contrasting responses were observed. PYL2, PYL8 and PYL9 were specific to A. thaliana, furthermore, PYL2 was found to be differentially expressed only under 3x salt growth conditions thus suggesting its role during long term salt stress in this plant species. Protein phosphatases, which negatively regulate ABA signaling on one hand and act as ABA sensor on the other hand were found to be more differentially expressed in A. thaliana than T. salsuginea guard cells, which suggests their diverse role in both plant species under saline conditions. Differential expression of more ABA signaling players in long time saline conditions was prominent which could be because of darkness, as it is well known that rapid closure of stomata under dark conditions require ABA signaling. Moreover, representation of these components in dark also suggests that plants become more sensitive to dark under saline conditions which is also evident from the transpiration rates.
Altogether, increased salt ions in A. thaliana guard cells and leaves led to pigment degradation and ABA induced reduction in transpiration which in turn influenced its growth. In contrast, T. salsuginea is the salt excluder and therefore keeps low levels of salt ions especially the chloride both in leaves and guard cells which mildly affects its growth. Guard cells of A. thaliana encounter severe energy problems at physiological and transcriptomic level. Main differences in the ABA signalling between both plant species were observed at the ABA receptor level.
In this work the creation of silicon vacancy spin defects in silicon carbide with predictable properties is demonstrated. Neutron and electron irradiation was used to create silicon vacancy ensembles and proton beam writing to create isolated vacancies at a desired position. The coherence properties of the created silicon vacancies as a function of the emitter density were investigated and a power-law function established. Sample annealing was implemented to increase the coherence properties of existing silicon vacancies. Further, spectral hole burning was used to implement absolute dc-magnetometry.
The right timing of phenological events is crucial for species fitness. Species should be highly synchronized with mutualists, but desynchronized with antagonists. With climate warming phenological events advance in many species. However, often species do not respond uniformly to warming temperatures. Species-specific responses to climate warming can lead to asynchrony or even temporal mismatch of interacting species. A temporal mismatch between mutualists, which benefit from each other, can have negative consequences for both interaction partners. For host-parasitoid interactions temporal asynchrony can benefit the host species, if it can temporally escape its parasitoid, with negative consequences for the parasitoid species, but benefit the parasitoid species if it increases synchrony with its host, which can negatively affect the host species. Knowledge about the drivers of phenology and the species-specific responses to these drivers are important to predict future effects of climate change on trophic interactions. In this dissertation I investigated how different drivers act on early flowering phenology and how climate warming affects the tritrophic relationship of two spring bees (Osmia cornuta & Osmia bicornis), an early spring plant (Pulsatilla vulgaris), which is one of the major food plants of the spring bees, and three main parasitoids of the spring bees (Cacoxenus indagator, Anthrax anthrax, Monodontomerus).
In Chapter II I present a study in which I investigated how different drivers and their change over the season affect the reproductive success of an early spring plant. For that I recorded on eight calcareous grasslands around Würzburg, Germany the intra-seasonal changes in pollinator availability, number of co-flowering plants and weather conditions and studied how they affect flower visitation rates, floral longevity and seed set of the early spring plant P. vulgaris. I show that bee abundances and the number of hours, which allowed pollinator foraging, were low at the beginning of the season, but increased over time. However, flower visitation rates and estimated total number of bee visits were higher on early flowers of P. vulgaris than later flowers. Flower visitation rates were also positively related to seed set. Over time and with increasing competition for pollinators by increasing numbers of co-flowering plants flower visitation rates decreased. My data shows that a major driver for early flowering dates seems to be low interspecific competition for pollinators, but not low pollinator abundances and unfavourable weather conditions.
Chapter III presents a study in which I investigated the effects of temperature on solitary bee emergence and on the flowering of their food plant and of co-flowering plants in the field. Therefore I placed bee cocoons of two spring bees (O. cornuta & O. bicornis) on eleven calcareous grasslands which differed in mean site temperature. On seven of these grasslands the early spring plant P. vulgaris occurred. I show that warmer temperatures advanced mean emergence in O. cornuta males. However, O. bicornis males and females of both species did not shift their emergence. Compared to the bees P. vulgaris advanced its flowering phenology more strongly with warmer temperatures. Co-flowering plants did not shift flowering onset. I suggest that with climate warming the first flowers of P. vulgaris face an increased risk of pollinator limitation whereas for bees a shift in floral resources may occur.
In Chapter IV I present a study in which I investigated the effects of climate warming on host-parasitoid relationships. I studied how temperature and photoperiod affect emergence phenology in two spring bees (O. cornuta & O. bicornis) and three of their main parasitoids (C. indagator, A. anthrax, Monodontomerus). In a climate chamber experiment with a crossed design I exposed cocoons within nest cavities and cocoons outside of nest cavities to two different temperature regimes (long-term mean of Würzburg, Germany and long-term mean of Würzburg + 4 °C) and three photoperiods (Würzburg vs. Snåsa, Norway vs. constant darkness) and recorded the time of bee and parasitoid emergence. I show that warmer temperatures advanced emergence in all studied species, but bees advanced less strongly than parasitoids. Consequently, the time period between female bee emergence and parasitoid emergence decreased in the warm temperature treatment compared to the cold one. Photoperiod influenced the time of emergence only in cocoons outside of nest cavities (except O. bicornis male emergence). The data also shows that the effect of photoperiod compared to the effect of temperature on emergence phenology was much weaker. I suggest that with climate warming the synchrony of emergence phenologies of bees and their parasitoids will amplify. Therefore, parasitism rates in solitary bees might increase which can negatively affect reproductive success and population size.
In this dissertation I show that for early flowering spring plants low interspecific competition for pollinators with co-flowering plants is a major driver of flowering phenology, whereas other drivers, like low pollinator abundances and unfavourable weather conditions are only of minor importance. With climate warming the strength of different drivers, which act on the timing of phenological events, can change, like temperature. I show that warmer temperatures advance early spring plant flowering more strongly than bee emergence and flowering phenology of later co-flowering plants. Furthermore, I show that warmer temperatures advance parasitoid emergence more strongly than bee emergence. Whereas temperature changes can lead to non-uniform temporal shifts, I demonstrate that geographic range shifts and with that altered photoperiods will not change emergence phenology in bees and their parasitoids. In the tritrophic system I investigated in this dissertation climate warming may negatively affect the reproductive success of the early spring plant and the spring bees but not of the parasitoids, which may even benefit from warming temperatures.
Chapter 1 deals with the reaction of [Rh(acac)(PMe3)2] with para-substituted 1,4-diphenylbuta-1,3-diynes at room temperature, in which a complex containing a bidentate organic fulvene moiety, composed of two diynes, σ-bound to the rhodium center is formed in an all-carbon [3+2] type cyclization reaction. In addition, a complex containing an organic indene moiety, composed of three diynes, attached to the rhodium center in a bis-σ-manner is formed in a [3+2+3] cyclization process.
Reactions at 100 °C reveal that the third diyne inserts between the rhodium center and the bis-σ-bound organic fulvene moiety. Furthermore, the formation of a 2,5- and a 2,4-bis(arylethynyl)rhodacyclopentadiene is observed. The unique [3+2] cyclization product was used for the synthesis of a highly conjugated organic molecule, which is hard to access or even inaccessible by conventional methods. Thus, at elevated temperatures, reaction of the [3+2] product with para-tolyl isocyanate led to the formation of a purple organic compound containing the organic fulvene structure and one equivalent of para-tolyl isocyanate.
The blue and green [3+2+3] complexes show an unusually broad absorption from 500 – 1000 nm with extinction coefficients ε of up to 11000 M-1 cm-1. The purple organic molecule shows an absorption spectrum similar to those of known diketopyrrolopyrroles.
Additionally, the reaction of [Rh(acac)(PMe3)2] with para-tolyl isocyanate was investigated. A cis-phosphine complex of the form cis-[Rh(acac)(PMe3)2(isocyanate)2] with an isocyanate dimer bound to the rhodium center by one carbon and one oxygen atom was isolated.
Replacing the trimethylphosphine ligands in [Rh(acac)(PMe3)2] with the stronger σ-donating NHC ligand Me2Im (1,3-dimethylimidazolin-2-ylidene), again, drastically alters the reaction. Similar [3+2] and [3+2+3] products to those discussed above could not be unambiguously assigned, but cis- and trans-π-complexes, which are in an equilibrium with the two starting materials, were formed.
Chapters 2 is about the influence of the backbone of the α,ω-diynes on the formation and photophysical properties of 2,5-bis(aryl)rhodacyclopentadienes. Therefore, different α,ω-diynes were reacted with [Rh(acac)(PMe3)2] and [Rh(acac)(P(p-tolyl)3)2] in equimolar amounts. In general, a faster consumption of the rhodium(I) starting material is observed while using preorganized α,ω-diynes with electron withdrawing substituents in the backbone. The isolated PMe3-substituted rhodacyclopentadienes exhibit fluorescence, despite the presence of the heavy atom rhodium, with lifetimes τF of < 1 ns and photoluminescence quantum yields Φ of < 0.01 as in previously reported P(p-tolyl)-substituted 2,5-bis(arylethynyl)rhodacyclopentadienes. However, an isolated P(p-tolyl)-substituted 2,5-bis(aryl)rhodacyclopentadiene shows multiple lifetimes and different absorption and excitation spectra leading to the conclusion that different species may be present.
Reaction of [Rh(acac)(Me2Im)2] with dimethyl 4,4'-(naphthalene-1,8-diylbis(ethyne-2,1-diyl))dibenzoate, results in the formation of a mixture trans- and cis-NHC-substituted 2,5-bis(aryl)rhodacyclopentadienes.
In chapter 3 the reaction of various acac- and diethyldithiocarbamate-substituted rhodium(I) catalysts bearing (chelating)phosphines with α,ω-bis(arylethynyl)alkanes (α,ω-diynes), yielding luminescent dimers and trimers, is described. The photophysical properties of dimers and trimers of the α,ω-diynes were investigated and compared to para-terphenyl, showing a lower quantum yield and a larger apparent Stokes shift.
Furthermore, a bimetallic rhodium(I) complex of the form [Rh2(ox)(P(p-tolyl)3)4] (ox: oxalate) was reacted with a CO2Me-substituted α,ω-tetrayne forming a complex in which only one rhodium(I) center reacts with the α,ω-tetrayne. The photophysical properties of this mixed rhodium(I)/(III) species shows only negligible differences compared to the P(p-tolyl)- and CO2Me-substituted 2,5-bis(arylethynyl)rhodacyclopentadiene, previously synthesized by Marder and co-workers.
Pertussis is a highly contagious acute respiratory disease of humans which is mainly caused by the gram-negative obligate human pathogen Bordetella pertussis. Despite the availability and extensive use of vaccines, the disease persists and has shown periodic re-emergence resulting in an estimated 640,000 deaths worldwide in 2014. The pathogen expresses various virulence factors that enable it to modulate the host immune response, allowing it to colonise the ciliated airway mucosa. Many of these factors also directly interfere with host signal transduction systems, causing damage to the ciliated airway mucosa and increase mucous production. Of the many virulence factors of B. pertussis, only the tracheal cytotoxin (TCT) is able to recapitulate the pathophysiology of ciliated cell extrusion and blebbing in animal models and in human nasal biopsies. Furthermore, due to the lack of appropriate human models and donor materials, the role of bacterial virulence factors has been extrapolated from studies using animal models infected with either B. pertussis or with the closely related species B. bronchiseptica which naturally causes respiratory infections in these animals and produces many similar virulence factors. Thus, in the present work, in vitro airway mucosa models developed by co-culturing human airway epithelia cells and fibroblasts from the conduction zone of the respiratory tract on a decellularized porcine small intestine submucosa scaffold (SISser®) were used, since these models have a high correlation to native human conducting zone respiratory epithelia. The major aim was to use the engineered airway mucosa models to elucidate the contribution of B. pertussis TCT in the pathophysiology of the disease as well as the virulence mechanism of B. pertussis in general. TCT and lipopolysaccharide (LPS) either alone or in combination were observed to induce epithelial cell blebbing and necrosis in the in vitro airway mucosa model. Additionally, the toxins induced viscous hyper-mucous secretion and significantly disrupted barrier properties of the in vitro airway mucosa models. This work also sought to assess the invasion and intracellular survival of B. pertussis in the polarised epithelia, which has been critically discussed for many years in the literature. Infection of the models with B. pertussis showed that the bacteria can adhere to the models and invade the epithelial cells as early as 6 hours post inoculation. Invasion and intracellular survival assays indicated the bacteria could invade and persist intracellularly in the epithelial cells for up to 3 days. Due to the novelty of the in vitro airway mucosa models, this work also intended to establish a method for isolating individual cells for scRNA-seq after infection with B. pertussis. Cold dissociation with Bacillus licheniformis subtilisin A was found to be capable of dissociating the cells without inducing a strong fragmentation, a problem which occurs when collagenase and trypsin/EDTA are used. In summary, the present work showed that TCT acts possibly in conjunction with LPS to disrupt the human airway mucosa much like previously shown in the hamster tracheal ring models and thus appears to play an important role during the natural B. pertussis infection. Furthermore, we established a method for infecting and isolating infected cells from the airway mucosa models in order to further investigate the effect of B. pertussis infection on the different cell populations in the airway by single cell analytics in the future.
Herein described is the discovery of three novel types of dimeric naphthylisoquinoline alkaloids, named mbandakamines, cyclombandakamines, and spirombandakamines. They were found in the leaves of a botanically as yet unidentified, potentially new Ancistrocladus species, collected in the rainforest of the Democratic Republic of the Congo (DRC). Mbandakamines showed an exceptional 6′,1′′-coupling, in the peri-position neighboring one of the outer axes, leading to an extremely high steric hindrance at the central axis, and to U-turn-like molecular shape, which – different from all other dimeric NIQs, whose basic structures are all quite linear – brings three of the four bicyclic ring systems in close proximity to each other. This created an unprecedented follow-up chemistry, involving ring closure reactions, leading to two further, structurally even more intriguing subclasses, the cyclo- and the spirombandakamines, displaying eight stereogenic elements (the highest total number ever found in naphthylisoquinoline alkaloids). The metabolites exhibited pronounced antiplasmodial and antitrypanosomal activities. Likewise reported in this doctoral thesis are the isolation and structural elucidation of naphthylisoquinoline alkaloids from two further potentially new Ancistrocladus species from DRC. Some of these metabolites have shown pronounced antiausterity activities against human pancreatic cancer PANC-1 cells.
Fabry disease (FD) is an X-linked lysosomal storage disorder caused by deficiency of the α-galactosidase A (GLA), leading to intracellular accumulations of globotriaosylceramide (Gb3). Acral burning pain, which can be triggered by heat, fever or physical activity is an early hallmark of FD and greatly reduces patients’ quality of life. The pathophysiology of FD pain is unknown and research is hindered by the limited in vivo availability of suitable human biomaterial. To overcome this obstacle, we generated induced pluripotent stem cells (iPSC) from one female and two male patients with a differing pain phenotype, and developed a refined differentiation protocol for sensory neurons to increase reliability and survival of these neurons, serving as an in vitro disease model. Neurons were characterized for the correct neuronal subtype using immunocytochemistry, gene expression analysis, and for their functionality using electrophysiological measurements.
iPSC and sensory neurons from the male patients showed Gb3 accumulations mimicking the disease phenotype, whereas no Gb3 depositions were detected in sensory neurons derived from the female cell line, likely caused by a skewed X-chromosomal inactivation in favor of healthy GLA. Using super-resolution imaging techniques we showed that Gb3 is localized in neuronal lysosomes of male patients and in a first experiment using dSTORM microscopy we were able to visualize the neuronal membrane in great detail. To test our disease model, we treated the neurons with enzyme replacement therapy (ERT) and analyzed its effect on the cellular Gb3 load, which was reduced in the male FD-lines, compared to non-treated cells. We also identified time-dependent differences of Gb3 accumulations, of which some seemed to be resistant to ERT. We also used confocal Ca2+ imaging to investigate spontaneous neuronal network activity, but analysis of the dataset proofed to be difficult, nonetheless showing a high potential for further investigations. We revealed that neurons from a patient with pain pain are more easily excitable, compared to cells from a patient without pain and a healthy control.
We provide evidence for the potential of patient-specific iPSC to generate a neuronal in vitro disease model, showing the typical molecular FD phenotype, responding to treatment, and pointing towards underlying electrophysiological mechanisms causing different pain phenotypes. Our sensory neurons are suitable for state-of-the-art microscopy techniques, opening new possibilities for an in-depth analysis of cellular changes, caused by pathological Gb3 accumulations. Taken together, our system can easily be used to investigate the effect of the different mutations of GLA on a functional and a molecular level in affected neurons.
Since the genesis of condensed matter physics, strongly correlated fermionic systems have shown a variety of fascinating properties and remain a vital topic in the field.
Such systems arise through electronic interaction, and despite decades of intensive research, no holistic approach to solving this problem has been found.
During that time, physicists have compiled a wealth of individual experimental and theoretical results, which together give an invaluable insight into these materials, and, in some instances, can explain correlated phenomena.
However, there are several systems that stubbornly refuse to fall completely in line with current theoretical descriptions, among them the high-\( T_c{}\) cuprates and heavy fermion compounds.
Although the two material classes have been around for the better part of the last 50 years, large portions of their respective phase diagram are still under intensive debate.
Recent experiments in several electron-doped cuprates compounds, e.g. neodymium cerium copper oxide (Nd\(_{2x}\)Ce\(_x\)CuO\(_4\)), reveal a charge ordering about an antiferromagnetic ground state.
So far, it has not been conclusively clarified how this intertwining of charge and spin polarization comes about and how it can be reconciled with a rigorous theoretical description.
The heavy-fermion semimetals, on the other hand, have enjoyed renewed scientific interest with the discovery of topological Kondo insulators, a new material class offering a unique interface of topology, symmetry breaking, and correlated phenomena. In this context, samarium hexaboride (SmB\(_6\)) has emerged as a prototypical system, which may feature a topological ground state.
In this thesis, we present a spin rotational invariant auxiliary particle approach to investigate the propensities of interacting electrons towards forming new states of order.
In particular, we study the onset of spin and charge order in high-\( T_c{}\) cuprate systems and Kondo lattices, as well as the interplay of magnetism and topology.
To that end, we use a sophisticated mean-field approximation of bosonic auxiliary particles augmented by a stability analysis of the saddle point via Gaussian fluctuations.
The latter enables the derivation of dynamic susceptibilities, which describe the response of the system under external fields and offer a direct comparison to experiments.
Both the mean-field and fluctuation formalisms require a numerical tool that is capable of extremizing the saddle point equations, on the one hand, and reliably solving a loop integral of the susceptibility-type, on the other.
A full, from scratch derivation of the formalism tailored towards a software implementation, is provided and pedagogically reviewed.
The auxiliary particle method allows for a rigorous description of incommensurate magnetic order and compares well to other established numerical and analytical techniques.
Within our analysis, we employ the two-dimensional one-band Hubbard as well as the periodic Anderson model as minimal Hamiltonians for the high-\( T_c{}\) cuprates and Kondo systems, respectively.
For the former, we observe a regime of intertwined charge- and spin-order in the electron-doped regime, which matches recent experimental observations in the cuprate material Nd\(_{2x}\)Ce\(_x\)CuO\(_4\).
Furthermore, we localize the emergence of a Kondo regime in the periodic Anderson model and establish the magnetic phase diagram of the two-band model for topological Kondo insulators.
The emerging antiferromagnetic ground state can be characterized by its topological properties and shows, for a non-trivial phase, topologically protected hinge modes.
We examined 143 patients suffering from FMS, a syndrome characterized by chronic widespread pain, sleep disturbances, and fatigue. Etiology and pathophysiology of FMS are scarcely understood. In recent years abnormalities of small Aδ- and C-nerve fibers have been found in subgroups of FMS patients. It is yet unclear how such SFP is caused in FMS patients and how it contributes to FMS symptoms.
We used CCM to analyze corneal small nerve fibers and associated LC, comparing FMS patients’ results to those from 65 healthy controls and 41 disease controls suffering from SFN. We, further, assessed expression levels of mRNA and miRNA in keratinocytes taken from skin punch biopsies of FMS patients and healthy controls kept as monocellular cell cultures. A screening was performed using NGS in a small cohort of 12 FMS patients and 5 healthy controls. Results were validated in larger cohorts by qRT-PCR.
As in previous studies IENFD and CNFD were reduced in a subgroup of FMS patients. We found identical LC densities in FMS patients, healthy controls, and SFN patients. The subpopulation of dLCfiber contact in FMS and SFN patients was lower than in healthy controls. Our RNA expression analysis revealed one mRNA that was expressed higher in FMS patients than in controls: PRSS21.
We conclude that reduced neurotrophic signaling of LC may contribute to SFP in the cornea. Epidermal PRSS21 expression and dLCfiber contact density are promising biomarker candidates for FMS diagnosis.
Hormones are essential components in the body and their imbalance leads to pathological consequences. T2DM, insulin resistance and obesity are the most commonly occurring lifestyle diseases in the past decade. Also, an increased cancer incidence has been strongly associated with obese and T2DM patients.
Therefore, our aim was to study the influence of high insulin levels in accumulating DNA damage in in vitro models and patients, through the induction of oxidative stress. The primary goal of this study was to analyze the genotoxicity induced by the combined action of two endogenous hormones (insulin and adrenaline) with in vitro models, through the induction of micronuclei and to see if they cause an additive increase in genomic damage. This is important for multifactorial diseases having high levels of more than one hormone, such as metabolic syndrome and conditions with multiple pathologies (e.g., T2DM along with high stress levels).
Furthermore, the combination of insulin and the pharmacological inhibition of the tumor suppressor gene: PTEN, was to be tested in in vitro models for their genotoxic effect and oxidative stress inducing potential. As the tumor suppressor gene: PTEN is downregulated in PTEN associated syndromes and when presented along with T2DM and insulin resistance, this may increase the potential to accumulate genomic damage.
The consequences of insulin action were to be further elucidated by following GFP-expressing cells in live cell-imaging to observe the ability of insulin, to induce micronuclei and replicative stress. Finally, the detrimental potential of high insulin levels in obese patients with hyperinsulinemia and pre-diabetes was to be studied by analyzing markers of oxidative stress and genomic damage. In summary, the intention of this work was to understand the effects of high insulin levels in in vitro and in patients to understand its relevance for the development of genomic instability and thus an elevated cancer risk.
Among mental disorders, panic disorder (PD) is one of the most common anxiety disorders characterized by recurring and unexpected episodes of extreme fear i.e. panic attacks. PD displays lifetime prevalence rates in the general population between 2.1-4.7 % and in about 30 to 40 % occurs comorbid with major depressive disorder (MDD). Differential methylation levels of the monoamine oxidase A (MAOA) gene have previously been associated with the etiology of both PD and MDD. The TGFB-Inducible Early Growth Response Protein 2 (TIEG2; alias KLF11), an activating transcription factor of the MAOA gene, has been reported to be increased in MDD, but has not yet been investigated in PD on any level.
Therefore, in an attempt to further define the role of an impaired TIEG2-MAOA pathway in anxiety and affective disorders, in the present thesis TIEG2 promoter DNA methylation was analyzed in two independent samples of I) PD patients with or without comorbid MDD in a case/control design and II) MDD patients with and without anxious depression. Additionally, in PD patients of sample I), TIEG2 methylation was correlated with Beck Depression Inventory (BDI-II) scores. Finally, in a third independent healthy control sample, correlation of TIEG2 promoter methylation levels with Anxiety Sensitivity Index (ASI) scores as a PD-related measure was analyzed.
No overall association of TIEG2 promoter methylation with PD was detected. However, PD patients with comorbid MDD showed significant TIEG2 hypomethylation compared to PD patients without comorbid MDD (p=.008) as well as to healthy controls (p=.010). In addition, MDD patients without anxious features displayed a statistical trend in decreased TIEG2 methylation in comparison to MDD patients with anxious depression (p=.052). Furthermore, TIEG2 methylation was negatively correlated with BDI-II scores in PD patients (p=.013) and positively correlated with ASI scores in the healthy control sample (p=.043).
In sum, the current study suggests TIEG2 promoter hypomethylation as a potential epigenetic marker of MDD comorbidity in PD or of non-anxious depression, respectively. If replicated and verified in future studies, altered TIEG2 methylation might therefore represent a differential pathomechanism of anxiety and mood disorders.
Complementation of a bimolecular Antibody-Derivative within the context of the Immunological Synapse
(2021)
Cancer is a disease of uncontrolled cell proliferation and migration. Downregulation of antigen-presenting major histocompatibility complex (MHC) and co-stimulatory molecules are two of the most commonly used pathways by cancer cells to escape from immune surveillance. Therefore, many approaches have been developed for restoring the immune surveillance in cancer patients. One approach is to redirect the patient’s own T cells for tumor cell destruction. For T cell function it is important to induce a durable and robust cytotoxic response against target cells and to generate memory T cells, after MHC-mediated recognition of foreign intracellular antigens presented on the surface of antigen presenting cells (APC). Because of these cytotoxic properties, T cell mediated immunotherapy has been established as an effective and durable anti-neoplastic treatment. Different T cell mediated therapies for cancer treatment exist. One of them is using bispecific antibody fragments, so called bi-sepcific T cell engagers (BiTEs), for retargeting of T cells against single antigen positive tumor cells. The BiTE antibodies have two antigen binding domains, one against a target on the target cell, the second against CD3 on the T cells, facilitating cell-to-cell interactions. However, suitable single tumor antigens are limited, which restricts this approach to very few tumor types. To overcome this limitation, we have developed T cell-engaging antibody derivatives, termed hemibodies. Hemibodies exist as two complementary polypeptide chains. Each consists of two specific domains. On one end there is a single-chain variable fragment (scFv) against a target protein and on the other end there is either the heavy chain variable domain (VH) or light chain variable domain (VL) of an anti-CD3 binding antibody. Only when both hemibodies bind their respective antigens on the same tumor cell, the complementary anti CD3 VH and VL domains become aligned and reconstitute the functional CD3 binding-domain to engage T cells.
For targeting malignant cells of hematopoietic origin, we used hemibodies against CD45 and HLA-A2. They were expressed in CHO cells, then purified via Strep-tag. To get more insight into the hemibody mechanism of T cell mediated target cell killing, we analyzed the biochemical and functional properties of hemibodies in more detail.
Our main finding indicates that VLαCD3-scFvαHLA-A2 and VHαCD3-scFvαCD45 hemibodies induce an atypical immunological synapse characterized by a co-localization of HLA-A2 and CD45 out of the target cell -T cell interface. Nevertheless, hemibodies induce a high caspase activity in target cells in a concentration-dependent manner at nanomolar concentrations in vitro. Looking at ZAP70, which is usually recruited from the cytoplasm to the CD3 receptor in the middle of the cell-cell interface, we were able to detect activated ZAP70 outside of the cell-cell interface in the presence of hemibodies. In contrast cells treated with BiTEs show a central recruitment in the cell-cell interface as expected.
We looked also at the interaction of hemibodies with soluble recombinant CD3 epsilon/gamma protein in the absence of target cells. The binding could be measured only at very high concentration out of the therapeutic window.
This work contributes to the mechanistic understanding, which underlies the hemibody technology as a new dual antigen restricted T cell-mediated immunotherapy of cancer.
Miniaturized satellites on a nanosatellite scale below 10kg of total mass contribute most to the number of launched satellites into Low Earth Orbit today. This results from the potential to design, integrate and launch these space missions within months at very low costs. In the past decade, the reliability in the fields of system design, communication, and attitude control have matured to allow for competitive applications in Earth observation, communication services, and science missions. The capability of orbit control is an important next step in this development, enabling operators to adjust orbits according to current mission needs and small satellite formation flight, which promotes new measurements in various fields of space science. Moreover, this ability makes missions with altitudes above the ISS comply with planned regulations regarding collision avoidance maneuvering.
This dissertation presents the successful implementation of orbit control capabilities on the pico-satellite class for the first time. This pioneering achievement is demonstrated on the 1U CubeSat UWE–4. A focus is on the integration and operation of an electric propulsion system on miniaturized satellites. Besides limitations in size, mass, and power of a pico-satellite, the choice of a suitable electric propulsion system was driven by electromagnetic cleanliness and the use as a combined attitude and orbit control system. Moreover, the integration of the propulsion system leaves the valuable space at the outer faces of the CubeSat structure unoccupied for future use by payloads. The used NanoFEEP propulsion system consists of four thruster heads, two neutralizers and two Power Processing Units (PPUs).
The thrusters can be used continuously for 50 minutes per orbit after the liquefaction of the propellant by dedicated heaters. The power consumption of a PPU with one activated thruster, its heater and a neutralizer at emitter current levels of 30-60μA or thrust levels of 2.6-5.5μN, respectively, is in the range of 430-1050mW. Two thruster heads were activated within the scope of in-orbit experiments. The thrust direction was determined using a novel algorithm within 15.7° and 13.2° of the mounting direction. Despite limited controllability of the remaining thrusters, thrust vector pointing was achieved using the magnetic actuators of the Attitude and Orbit Control System.
In mid 2020, several orbit control maneuvers changed the altitude of UWE–4, a first for pico-satellites. During the orbit lowering scenario with a duration of ten days, a single thruster head was activated in 78 orbits for 5:40 minutes per orbit. This resulted in a reduction of the orbit altitude by about 98.3m and applied a Delta v of 5.4cm/s to UWE–4. The same thruster was activated in another experiment during 44 orbits within five days for an average duration of 7:00 minutes per orbit. The altitude of UWE–4 was increased by about 81.2m and a Delta v of 4.4cm/s was applied. Additionally, a collision avoidance maneuver was executed in July 2020, which increased the distance of closest approach to the object by more than 5000m.