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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.