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Zinc is an essential trace element for all living organisms. In mammals, including humans and mice, it is required for normal growth, development, hematopoiesis and immune defense. This thesis investigates the influence of zinc on the development of megakaryocytes (MKs), the cells responsible for bone marrow-derived platelet production. Furthermore, a detailed analysis of the expression of zinc import and export transporters (Slc39a/Slc30a genes) is carried out, firstly over the course of MK differentiation and secondly dependent on extracellular zinc.
In the thesis at hand, several sequences of number theoretic interest will be studied in the context of uniform distribution modulo one. <br>
<br>
In the first part we deduce for positive and real \(z\not=1\) a discrepancy estimate for the sequence \( \left((2\pi )^{-1}(\log z)\gamma_a\right) \),
where \(\gamma_a\) runs through the positive imaginary parts of the nontrivial \(a\)-points of the Riemann zeta-function. If the considered imaginary
parts are bounded by \(T\), the discrepancy of the sequence \( \left((2\pi )^{-1}(\log z)\gamma_a\right) \) tends to zero like
\( (\log\log\log T)^{-1} \) as \(T\rightarrow \infty\). The proof is related to the proof of Hlawka, who determined a discrepancy estimate for the
sequence containing the positive imaginary parts of the nontrivial zeros of the Riemann zeta-function. <br>
<br>
The second part of this thesis is about a sequence whose asymptotic behaviour is motivated by the sequence of primes. If \( \alpha\not=0\) is real
and \(f\) is a function of logarithmic growth, we specify several conditions such that the sequence \( (\alpha f(q_n)) \) is uniformly distributed
modulo one. The corresponding discrepancy estimates will be stated. The sequence \( (q_n)\) of real numbers is strictly increasing and the conditions
on its counting function \( Q(x)=\#\lbrace q_n \leq x \rbrace \) are satisfied by primes and primes in arithmetic progessions. As an application we
obtain that the sequence \( \left( (\log q_n)^K\right)\) is uniformly distributed modulo one for arbitrary \(K>1\), if the \(q_n\) are primes or primes
in arithmetic progessions. The special case that \(q_n\) equals the \(\textit{n}\)th prime number \(p_n\) was studied by Too, Goto and Kano. <br>
<br>
In the last part of this thesis we study for irrational \(\alpha\) the sequence \( (\alpha p_n)\) of irrational multiples of primes in the context of
weighted uniform distribution modulo one. A result of Vinogradov concerning exponential sums states that this sequence is uniformly distributed modulo one.
An alternative proof due to Vaaler uses L-functions. We extend this approach in the context of the Selberg class with polynomial Euler product. By doing so, we obtain
two weighted versions of Vinogradov's result: The sequence \( (\alpha p_n)\) is \( (1+\chi_{D}(p_n))\log p_n\)-uniformly distributed modulo one, where
\( \chi_D\) denotes the Legendre-Kronecker character. In the proof we use the Dedekind zeta-function of the quadratic number field \( \Bbb Q (\sqrt{D})\).
As an application we obtain in case of \(D=-1\), that \( (\alpha p_n)\) is uniformly distributed modulo one, if the considered primes are congruent to
one modulo four. Assuming additional conditions on the functions from the Selberg class we prove that the sequence \( (\alpha p_n) \) is also
\( (\sum_{j=1}^{\nu_F}{\alpha_j(p_n)})\log p_n\)-uniformly distributed modulo one, where the weights are related to the Euler product of the function.
The starting point of the thesis is the {\it universality} property of the Riemann Zeta-function $\zeta(s)$
which was proved by Voronin in 1975:
{\it Given a positive number $\varepsilon>0$ and an analytic non-vanishing function $f$ defined on a compact subset $\mathcal{K}$ of the strip $\left\{s\in\mathbb{C}:1/2 < \Re s< 1\right\}$ with connected complement, there exists a real number $\tau$ such that
\begin{align}\label{continuous}
\max\limits_{s\in \mathcal{K}}|\zeta(s+i\tau)-f(s)|<\varepsilon.
\end{align}
}
In 1980, Reich proved a discrete analogue of Voronin’s theorem, also known as {\it discrete universality theorem} for $\zeta(s)$:
{\it If $\mathcal{K}$, $f$ and $\varepsilon$ are as before, then
\begin{align}\label{discretee}
\liminf\limits_{N\to\infty}\dfrac{1}{N}\sharp\left\{1\leq n\leq N:\max\limits_{s\in \mathcal{K}}|\zeta(s+i\Delta n)-f(s)|<\varepsilon\right\}>0,
\end{align}
where $\Delta$ is an arbitrary but fixed positive number.
}
We aim at developing a theory which can be applied to prove the majority of all so far existing discrete universality theorems in the case of Dirichlet $L$-functions $L(s,\chi)$ and Hurwitz zeta-functions $\zeta(s;\alpha)$,
where $\chi$ is a Dirichlet character and $\alpha\in(0,1]$, respectively.
Both of the aforementioned classes of functions are generalizations of $\zeta(s)$, since $\zeta(s)=L(s,\chi_0)=\zeta(s;1)$, where $\chi_0$ is the principal Dirichlet character mod 1.
Amongst others, we prove statement (2) where instead of $\zeta(s)$ we have $L(s,\chi)$ for some Dirichlet character $\chi$ or $\zeta(s;\alpha)$ for some transcendental or rational number $\alpha\in(0,1]$, and instead of $(\Delta n)_{n\in\mathbb{N}}$ we can have:
\begin{enumerate}
\item \textit{Beatty sequences,}
\item \textit{sequences of ordinates of $c$-points of zeta-functions from the Selberg class,}
\item \textit{sequences which are generated by polynomials.}
\end{enumerate}
In all the preceding cases, the notion of {\it uniformly distributed sequences} plays an important role and we draw attention to it wherever we can.
Moreover, for the case of polynomials, we employ more advanced techniques from Analytic Number Theory such as bounds of exponential sums and zero-density estimates for Dirichlet $L$-functions.
This will allow us to prove the existence of discrete second moments of $L(s,\chi)$ and $\zeta(s;\alpha)$ on the left of the vertical line $1+i\mathbb{R}$, with respect to polynomials.
In the case of the Hurwitz Zeta-function $\zeta(s;\alpha)$, where $\alpha$ is transcendental or rational but not equal to $1/2$ or 1, the target function $f$ in (1) or (2), where $\zeta(\cdot)$ is replaced by $\zeta(\cdot;\alpha)$, is also allowed to have zeros.
Until recently there was no result regarding the universality of $\zeta(s;\alpha)$ in the literature whenever $\alpha$ is an algebraic irrational.
In the second half of the thesis, we prove that a weak version of statement \eqref{continuous} for $\zeta(s;\alpha)$ holds for all but finitely many algebraic irrational $\alpha$ in $[A,1]$, where $A\in(0,1]$ is an arbitrary but fixed real number.
Lastly, we prove that the ordinary Dirichlet series
$\zeta(s;f)=\sum_{n\geq1}f(n)n^{-s}$ and $\zeta_\alpha(s)=\sum_{n\geq1}\lfloor P(\alpha n+\beta)\rfloor^{-s}$
are hypertranscendental, where $f:\mathbb{N}\to\mathbb{C}$ is a {\it Besicovitch almost periodic arithmetical function}, $\alpha,\beta>0$ are such that $\lfloor\alpha+\beta\rfloor>1$ and $P\in\mathbb{Z}[X]$ is such that $P(\mathbb{N})\subseteq\mathbb{N}$.
Background
- Brain-Computer Interfaces (BCI) enable their users to interact and communicate with the environment without requiring intact muscle control. To this end, brain activity is directly measured, digitized and interpreted by the computer. Thus, BCIs may be a valuable tool to assist severely or even completely paralysed patients. Many BCIs, however, rely on neurophysiological potentials evoked by visual stimulation, which can result in usability issues among patients with impaired vision or gaze control. Because of this, several non-visual BCI paradigms have been developed. Most notably, a recent study revealed promising results from a tactile BCI for wheelchair control. In this multi-session approach, healthy participants used the BCI to navigate a simulated wheelchair through a virtual apartment, which revealed not only that the BCI could be operated highly efficiently, but also that it could be trained over five sessions. The present thesis continues the research on this paradigm in order to - confirm its previously reported high performance levels and trainability - reveal the underlying factors responsible for observed performance increases - establish its feasibility among potential impaired end-users
Methods
- To approach these goals, three studies were conducted with both healthy participants and patients with amyotrophic lateral sclerosis (ALS). Brain activity during BCI operation was recorded via electroencephalography (EEG) and interpreted using a machine learning-based linear classifier. Wheelchair navigation was executed according to the classification results and visualized on a monitor. For offline statistical analysis, neurophysiological features were extracted from EEG data. Subjective data on usability were collected from all participants. Two specialized experiments were conducted to identify factors for training.
Results and Discussion
- Healthy participants: Results revealed positive effects of training on BCI performances and their underlying neurophysiological potentials. The paradigm was confirmed to be feasible and (for a non-visual BCI) highly efficient for most participants. However, some had to be excluded from analysis of the training effects because they could not achieve meaningful BCI control. Increased somatosensory sensitivity was identified as a possible mediator for training-related performance improvements. Participants with ALS: Out of seven patients with various stages of ALS, five could operate the BCI with accuracies significantly above chance level. Another ALS patient in a state of near-complete paralysis trained with the BCI for several months. Although no effects of training were observed, he was consistently able to operate the system above chance level. Subjective data regarding workload, satisfaction and other parameters were reported.
Significance
- The tactile BCI was evaluated on the example of wheelchair control. In the future, it could help impaired patients to regain some lost mobility and self-sufficiency. Further, it has the potential to be adapted to other purposes, including communication. Once visual BCIs and other assistive technologies fail for patients with (progressive) motor impairments, vision-independent paradigms such as the tactile BCI may be among the last remaining alternatives to interact with the environment. The present thesis has strongly confirmed the general feasibility of the tactile paradigm for healthy participants and provides first clues about the underlying factors of training. More importantly, the BCI was established among potential end-users with ALS, providing essential external validity.
In the framework of the presented doctoral thesis, the plant ubiquitous, non-selective vacuolar cation channel TPC1/SV was electrophysiologically studied in Arabidopsis thaliana mesophyll vacuoles to further enlighten its physiological role in plant stress responses. For this, the hyperactive channel version fou2 (D454N), gaining a non-functional vacuolar calcium sensor, strong retarded growth phenotype and upregulated JA signalling pathway, and eight fou2 reverting WT-like ouf mutants were used. Except of ouf4, all other seven ouf mutants carried a 2nd mutation in the TPC1 gene. Therefore, the TPC1 electrical features of all ouf mutants were electrophysiologically characterized with the patch clamp method and compared with fou2 and WT.
Due to a missense mutation, ouf1 and ouf7 mutants harboured a truncated TPC1 channel protein, resulting in an impaired protein integrity and in turn loss of TPC1 channel activity. Accordingly, ouf1 and ouf7 mimicked the tpc1-2 null mutant with a WT- rather fou2-like phenotype. The ouf2 (G583D D454N) mutant exhibited inactive TPC1 channels, probably because the G583D mutation located in luminal part of the S11 helix caused (i) a shift of the activation threshold to much more positive voltages (i.e. to more than +110 mV) (ii) or channel blockage. As a result of the TPC1 channel inactivity, the ouf2 mutant also imitates the WT-like phenotype of the tpc1-2 null mutant. In the ouf6 mutant (A669V D454N) the 2nd reverting mutation selectively influenced fou2-like SV channel features. Both, the fast activation kinetics and reduced luminal calcium sensitivity were similar in ouf6 and fou2. However, deviations in both, the relative and absolute open channel probability, resulted in strongly reduced (80 %) current density at 0 mM and channel inactivity in the voltage range between -30 mV to +40 mV compared to fou2 and WT. Furthermore, the TPC1 channels in ouf6 exhibited a higher susceptibility to inhibitory luminal Ca2+ than fou2. As a result of these different effects, the TPC1 channel activity almost vanished at high luminal Ca2+ loads, what is very likely the reason that ouf6 lost the fou2-like phenotype. The ouf4 mutation did not change the fou2 TPC1-channel features like fast channel activation, single channel conductance and voltage-dependent gating behaviour. Nevertheless, the TPC1 current density was 80% less in ouf4 than in fou2. Since the TPC1 gene was not the target of the 2nd mutation, it can be assumed that it is modulated via external, yet unknown factor. In the ouf8 mutant the TPC1 channels additionally possess M629I mutation within the selectivity filter II resulting in a 50% decrease in the TPC1 unitary conductance. However, the slightly increased relative open channel probability of the TPC1 channels in ouf8 compared to fou2 appeared to be sufficient to compensate the reduced transport capacity of individual TPC1 channels. As a result, a similar macroscopic outward current density of ouf8 and fou2 was detected in the absence of vacuolar Ca2+. Furthermore, ouf8 mutation did not drastically change the typical fou2 TPC1 channel features such as fast activation, vacuolar calcium insensitivity and voltage dependency. However, a reversible block of the cytosol-directed potassium efflux at increased vacuolar calcium concentration in ouf8 mutant was found. Further inspection of transiently expressed TPC1 channel variants (M629I, M629T) on the single channel level suggest that Met629 of AtTPC1 in the channel pore region is crucial for the unitary channel conductance.
Taken together, current membrane recordings from ouf mutants revealed one common feature: All of them lacked or showed a strongly impaired ability for TPC1-mediated potassium release from the vacuole into the cytosol. Additionally, considering the detected dependence of the vacuolar membrane voltage on TPC1 activity, it thus seems that the TPC1-triggered vacuolar membrane depolarization caused by vacuolar K+ release plays a key role in generation of the fou2-like phenotype. Accordingly, one can conclude that TPC1-dependent vacuolar membrane depolarization and initiation of jasmonate production are likely linked. This statement is supported also by the complete restoration of WT-like plant phenotype and JA signalling in the ouf mutants. Finally, as a control element of the vacuolar membrane voltage TPC1 is probably upstream located in JA signalling pathway and therefore a perfect junction for linking multiple physiological stimuli and response to them.
Im Rahmen der vorgelegten Doktorarbeit wurde der in Pflanzen ubiquitär exprimierte, nicht-selektive vakuoläre Kationenkanal TPC1/SV elektrophysiologisch in Arabidopsis thaliana Mesophyllvakuolen untersucht, um seine physiologische Rolle in der pflanzlichen Stressantwort weiter aufzuklären. Hierfür wurde die hyperaktive Kanalvariante fou2 (D454N), die einen nicht-funktionalen vakuolären Calciumsensor, ein stark verzögertes Pflanzenwachstum und einen hochregulierten Jasmonsäure-Signalweg aufweist, sowie acht ouf Mutanten mit fou2-umkehrenden Phänotyp benutzt. Mit Ausnahme von ouf4 enthalten alle anderen ouf Mutanten eine weitere Mutation im TPC1-Gen. Daher wurden die elektrischen Eigenschaften von TPC1 in allen ouf Mutanten elektrophysiologisch mittels der Patch clamp Technik charakterisiert und mit fou2 und dem Wildtyp verglichen.
Aufgrund einer Missense-Mutation beinhalten die Mutanten ouf1 und ouf7 ein verkürztes TPC1 Protein, woraus eine gestörte Proteinintegrität resultiert und daraus wiederum ein Fehlen der TCP1-Kanalaktivität. Dementsprechend ähneln ouf1 und ouf7 der tpc1-2 Nullmutante mit einem WT- oder eher fou2-artigen Phänotyp. Wahrscheinlich weist die ouf2 (G583D D454N) Mutante einen inaktiven TPC1-Kanal auf, weil die G583D Mutation, die in einem luminalen Teil der S11 Helix sitzt, eine Verschiebung der Aktivierungsschwelle hin zu einer höheren Spannung (z. B. mehr als +110 mV) oder einen Kanalblock verursacht. Als Folge der TPC1 Kanal Inaktivität, ahmt die ouf2 Mutante auch den WT-ähnlichen Phänotyp der tpc1-2 Nullmutante nach. In der ouf6 Mutante (A669V D454N) beeinflusst die zweite Mutation selektiv die fou2-ähnlichen SV-Kanaleigenschaften. Sowohl die schnelle Aktivierungskinetik als auch die verringerte luminale Calciumsensitivität waren denen von ouf6 und fou2 ähnlich. Die Abweichungen in der relativen sowie der absoluten Offenwahrscheinlichkeit resultierten jedoch in einer stark reduzierten (80 %) Stromdichte bei 0 mM luminalem Calcium verglichen mit fou2 und dem WT, sowie einer Kanalinaktivität bei Spannungen zwischen -30 mV und +40 mV. Darüber hinaus zeigten die TPC1 Kanäle in ouf6 eine höhere Anfälligkeit für inhibitorisches, luminales Calcium als die in fou2. Das Ergebnis der beiden unterschiedlichen Effekte ist, dass die TPC1 Kanalaktivität bei einer hohen luminalen Calciumkonzentration fast verschwindet, woraus zu schließen ist, dass ouf6 den fou2-ähnlichen Phänotyp verlor. Die ouf4 Mutation veränderte nicht die fou2 TPC1 Kanaleigenschaften, wie die schnelle Kanalaktivierung, die Einzelkanalleitfähigkeit und das spannungsabhängige Verhalten. Nichtsdestotrotz war die TCP1 Stromdichte in ouf4 um 80 % geringer als in fou2. Da das TPC1 Gen nicht das Ziel der zweiten Mutation war, kann angenommen werden, dass es durch äußere, bisher noch unbekannte Faktoren, reguliert wird. In der ouf8 Mutante haben die TPC1 Kanäle zusätzlich eine M629I Mutation innerhalb des zweiten Selektivitätsfilters, welche in einem 50 % Rückgang der TCP1 Einzelkanalleitfähigkeit resultiert. Jedoch scheint die leicht erhöhte Offenwahrscheinlichkeit der TCP1 Kanäle in ouf8, verglichen mit fou2, ausreichend zu sein, um die reduzierte Transportkapazität der individuellen TPC1 Kanäle zu kompensieren. Schlussfolgernd wurde eine ähnliche makroskopische auswärts gerichtete Stromdichte des ouf8 und des fou2 in Abwesenheit vakuolären Calciums entdeckt. Des Weiteren änderte eine ouf8 Mutation die fou2 TPC1 Kanaleigenschaften wie eine schnelle Aktivierung, vakuoläre Calciuminsensitivität und die Spannungsabhängigkeit nicht drastisch. Jedoch wurde ein reversibler Block des Zytosol-gerichteten Kalium Ausstroms bei erhöhten vakuolären Calcium Konzentrationen in ouf8 gefunden. Eine weitere Betrachtung transient exprimierter TPC1 Kanalvarianten (M629I, M629T) auf Einzelkanalebene weist darauf hin, dass das Met629 des AtTPC1 in der Kanalporenregion entscheidend ist für die Einzelkanalleitfähigkeit.
Zusammengefasst zeigt der über die Membran von ouf Mutanten gemessene Strom eine Gemeinsamkeit: Alle zeigten keinen oder einen stark beeinträchtigten TPC1-vermittelten Kaliumausstrom aus der Vakuole ins Zytosol. Unter Berücksichtigung der beobachteten Abhängigkeit der vakuolären Membranspannung von der TPC1 Aktivität, scheint es, als ob die durch TPC1 angeregte Depolarisation der Vakuolenmembran, welche durch die vakuoläre Kaliumfreisetzung bedingt wird, in der Ausbildung des fou2 Phänotyps eine Rolle spielt. Daraus lässt sich ableiten, dass die TPC1-abhängige Depolarisation der Vakuolenmembran und die Jasmonat Bildung vermutlich verbunden sind. Diese Behauptung wird auch gestützt durch die komplette Wiederherstellung des WT-ähnlichen Pflanzenphänotyps und des Jasmonsäure Signalwegs in den ouf Mutanten. Letztendlich ist TPC1 als kontrollierendes Element der vakuolären Membranspannung wahrscheinlich dem Jasmonsäure Signalweg vorgeschaltet und deswegen ein perfekter Knotenpunkt, der verschiedene physiologische Stimuli und ihre Antworten verbindet.
Nowadays, computational-aided investigations become an essential part in the chemical, biochemical or pharmaceutical research. With increasing computing power, the calculation of larger biological systems becomes feasible. In this work molecular mechanical (MM) and quantum mechanical approaches (QM) and the combination of both (QM/MM) have been applied to study several questions which arose from different working groups. Thus, this work comprises eight different subjects which deals with chemical reactions or proton transfer in enzymes, conformational changes of ligands or proteins and verification of experimental data.
This work firstly deals with reaction mechanisms of aromatic inhibitors of cysteine proteases which can be found in many organisms. These enzymes are responsible for various cancer or diseases as for example Human African Trypanosomiasis (HAT) or the Chagas disease. Aromatic SNAr-type electrophiles might offer a new possibility to covalently modify these proteases. Quantum mechanical calculations have been performed to gain insights into the energetics and possible mechanisms.
The next chapter also deals with Trypanosomiasis but the focus was set on a different enzyme. The particularity of Trypanosomiasis is the thiol metabolism which can also be modified by covalent inhibitors. In this context, the wild type and point mutations of the enzyme tryparedoxin have been investigated via molecular dynamic (MD) simulations to examine the influence of specific amino acids in regard to the inhibitor. Experimental data showed that a dimerization of the enzyme occurs if the inhibitor is present. Simulations revealed that the stability of the dimer decreases in absence of the inhibitor and thus confirms these experiments.
Further investigations concerning cysteine proteases such as cruzain and rhodesain have been conducted with respect to experimental kinetic data of covalent vinylsulfone inhibitors. Several approaches such as QM or QM/MM calculations and docking, MD or MMPBSA/MMGBSA simulations have been applied to reproduce these data. The utilization of force field approaches resulted in a qualitatively accurate prediction.
The kinase AKT is involved in a range of diseases and plays an important role in the formation of cancer. Novel covalent-allosteric inhibitors have been developed and crystallized in complex with AKT. It was shown that depending on the inhibitor a different cysteine residue is modified. To investigate these differences in covalent modification computational simulations have been applied.
Enoyl-(acyl carrier) (ENR) proteins are essential in the last step of the fatty acid biosynthesis II (FAS) and represent a good target for inhibition. The diphenylether inhibitor SKTS1 which was originally designed to target the ENR’s of Staphylococcus aureus was also crystallized in InhA, the ENR of Mycobacterium tuberculosis (TB). Crystal structures indicate a change of the inhibitor's tautomeric form. This subject was investigated via MD simulations. Results of these simulations confirmed the tautomerization of the inhibitor.
This work also deals with the development of a covalent inhibitor originating from a non-covalent ligand. The target FadA5 is an essential enzyme for the degradation of steroids in TB and is responsible for chronic tuberculosis. This enzyme was crystallized in complex with a non-covalent ligand which served as starting point for this study. Computations on QM or QM/MM level and docking and MD simulations have been applied to evaluate potential candidates.
The next chapter focuses on the modification of the product spectrum of Bacillus megaterium levansucrase, a polymerase which catalyzes the biosynthesis of fructans. The covalent modification of the wild type or mutants of the enzyme lead to an accumulation of oligosaccharides but also to polymers with higher polymerization degree. To understand these changes in product spectra MD simulations have been performed.
Finally, the proton transfer in catalytic cysteine histidine dyads was investigated. The focus was set on the influence of the relaxation of the protein environment to the reaction. Calculations of the enzymes FadA5 and rhodesain revealed that the preferred protonation state of the dyade depends on the protein environment and has an impact on the reaction barrier. Furthermore, the adaptation of the environment to a fixed protonation state was analyzed via MD simulations.
The role of the adhesion and degranulation promoting adapter protein (ADAP) in platelet production
(2020)
Bone marrow (BM) megakaryocytes (MKs) produce platelets by extending proplatelets into sinusoidal blood vessels. Although this process is fundamental to maintain normal platelet counts in circulation only little is known about the regulation of directed proplatelet formation.
As revealed in this thesis, ADAP (adhesion and degranulation promoting adapter protein) deficiency (constitutive as well as MK and platelet-specific) resulted in a microthrombocytopenia in mice, recapitulating the clinical hallmark of patients with mutations in the ADAP gene. The thrombocytopenia was caused by a combination of an enhanced removal of platelets from the circulation by macrophages and a platelet production defect. This defect led to an ectopic release of (pro)platelet-like particles into the bone marrow compartment, with a massive accumulation of such fragments around sinusoids. In vitro studies of cultured BM cell-derived MKs revealed a polarization defect of the demarcation membrane system, which is dependent on F-actin dynamics. ADAP-deficient MKs spread on collagen and fibronectin displayed a reduced F-actin content and podosome density in the lowest confocal plane. In addition, ADAP-deficient MKs exhibited a reduced capacity to adhere on Horm collagen and in line with that the activation of beta1-integrins in the lowest confocal plane of spread MKs was diminished. These results point to ADAP as a novel regulator of terminal platelet formation.
Beside ADAP-deficient mice, three other knockout mouse models (deficiency for profilin1 (PFN1), Wiskott-Aldrich-syndrome protein (WASP) and Actin-related protein 2/3 complex subunit 2 (ARPC2)) exist, which display ectopic release of (pro)platelet-like particles. As shown in the final part of the thesis, the pattern of the ectopic release of (pro)platelet-like particles in these genetically modified mice (PFN1 and WASP) was comparable to ADAP-deficient mice. Furthermore, all tested mutant MKs displayed an adhesion defect as well as a reduced podosome density on Horm collagen. These results indicate that similar mechanisms might apply for ectopic release.
Antigenic variation of surface proteins is a commonly used strategy among pathogens to evade the host immune response [63]. The mechanism underlying antigenic variation relies on monoallelic exclusion of a single gene from a hypervariable multigene family combined with repeated, systematic changes in antigen expression. In many systems, these gene families are arranged in subtelomeric contingency loci that are subject to both transcriptional repression and enhanced mutagenesis and recombination [16].
Eviction of a selected gene from a repressed antigen repertoire can be achieved e.g. by recombination into a dedicated, transcriptionally permissive site or by local epigenetic alterations in chromatin composition of the selected gene.
Both processes are ultimately affected by genome architecture. Architectural proteins controlling antigenic variation have, however, remained elusive in any pathogen.
The unicellular protozoan parasite Trypanosoma brucei evades the host immune response by periodically changing expression of a single variant surface glycoprotein (VSG) from a repertoire of ~3000 VSG genes – the largest mutually exclusively expressed gene family described today. To activate a selected VSG gene, it needs to be located in a dedicated expression site that becomes subject to relocation into a distinct, transcriptionally active subnuclear compartment, the expression site body (ESB). Whereas this emphasizes the importance of nuclear architecture in regulating antigen expression in T. brucei, the mechanisms underlying spatial positioning of DNA in T. brucei are not well understood.
In this study I applied genome-wide chromosome conformation capture (Hi-C) to obtain a comprehensive picture of the T. brucei genome in three dimensions, both in procyclic and bloodstream form parasites. Hi-C revealed a highly structured nucleus with megabase chromosomes occupying distinct chromosome territories. Further, specific trans interactions between chromosomes, among which are clusters of centromeres, rRNA genes and procyclins became apparent. With respect to antigenic variation, Hi-C revealed a striking compaction of the subtelomeric VSG gene repertoire and a strong clustering of transcriptionally repressed VSG-containing expression sites. Further, Hi-C analyses confirmed the spatial separation of the actively transcribed from the silenced expression sites in three dimensions.
I further sought to characterize architectural proteins mediating nuclear architecture in T. brucei. Whereas CTCF is absent in non-metazoans, we found cohesin to be expressed throughout the cell cycle, emphasizing a function beyond sister chromatid cohesion in S-phase.
By Chromatin-Immunoprecipitation with sequencing (ChIPseq), I found cohesin enrichment to coincide with the presence of histone H3 vari- ant (H3.V) and H4 variant (H4.V). Most importantly, cohesin and the histone variants were enriched towards the VSG gene at silent and active expression sites.
While the deletion of H3.V led to increased clustering of expression sites in three dimensions and increased chromatin accessibility at expression site promoters, the additional deletion of H4.V increased chromatin accessibility at expression sits even further.
RNAseq showed that mutually exclusive VSG expression was lost in H3.V and H4.V single and double deletion mutants. Immunofluorescence imaging of surface VSGs, flow cytometry and single-cell RNAseq revealed a progressive loss of VSG-2 expression, indicative of an increase in VSG switching rate in the H3.V/H4.V double deletion mutants. Using long-read sequencing technology, we found that VSG switching occurred via recombination and concluded, that the concomitant increase in spatial proximity and accessibility among expression sites facilitated the recombination event.
I therefore identified the histone variants H3.V and H4.V to act at the interface of global nuclear architecture and chromatin accessibility and to represent a link between genome architecture and antigenic variation.
The Role of Attentional Control and Fear Acquisition and Generalization in Social Anxiety Disorder
(2020)
Although Social Anxiety Disorder (SAD) is one of the most prevalent mental disorders, still little is known about its development and maintenance. Cognitive models assume that deviations in attentional as well as associative learning processes play a role in the etiology of SAD. Amongst others, deficits in inhibitory attentional control as well as aberrations during fear generalization, which have already been observed in other anxiety disorders, are two candidate mechanisms that might contribute to the onset and retention of SAD. However, a review of the literature shows that there is a lack of research relating to these topics. Thus, the aim of the present thesis was to examine in which way individuals with SAD differ from healthy controls regarding attentional control and generalization of acquired fear during the processing of social stimuli.
Study 1 tested whether impairment in the inhibitory control of attention is a feature of SAD, and how it might be influenced by emotional expression and gaze direction of an interactional partner. For this purpose, individuals with SAD and healthy controls (HC) participated in an antisaccade task with faces displaying different emotional expressions (angry, neutral and happy) and gaze directions (direct and averted) serving as target stimuli. While the participants performed either pro- or antisaccades in response to the peripherally presented faces, their gaze behavior was recorded via eye-tracking, and ratings of valence and arousal were obtained. Results revealed that both groups showed prolonged latencies and increased error rates in trials with correct anti- compared to prosaccades. However, there were no differences between groups with regard to response latency or error rates, indicating that SAD patients did not exhibit impairment on inhibitory attentional control in comparison to HC during eye-tracking. Possible explanations for this finding could be that reduced inhibitory attentional control in SAD only occurs under certain circumstances, for example, when these individuals currently run the risk of being negatively evaluated by others and not in the mere presence of phobic stimuli, or when the cognitive load of a task is so high that it cannot be unwound by compensatory strategies, such as putting more effort into a task.
As not only deviations in attentional, but also associative learning processes might be pathogenic markers of SAD, these mechanisms were further addressed in the following experiments. Study 2 is the first that attempted to investigate the generalization of conditioned fear in patients with SAD. To this end, patients with SAD and HC were conditioned to two neutral female faces serving as conditioned stimuli (CS+: reinforced; CS-: non-reinforced) and a fearful face paired with a loud scream serving as unconditioned stimulus (US). Fear generalization was tested by presenting morphs of the two faces (GS: generalization stimuli), which varied in their similarity to the original faces. During the whole experiment, self-report ratings, heart rate (HR) and skin conductance responses (SCR) were recorded. Results demonstrated that SAD patients rated all stimuli as less pleasant and more arousing, and overestimated the occurrence of the US compared to HC, indicating a general hyperarousal in individuals with SAD. In addition, ratings and SCR indicated that both groups generalized their acquired fear from the CS+ to intermediate GSs as a function of their similarity to the CS+. However, except for the HR data, which indicated that only SAD patients but not HC displayed a generalization response in this measure, most of the results did not support the hypothesis that SAD is characterized by overgeneralization. A plausible reason for this finding could be that overgeneralization is just a key characteristic of some anxiety disorders and SAD is not one of them. Still, other factors, such as comorbidities in the individuals with SAD, could also have had an influence on the results, which is why overgeneralization was further examined in study 3.
The aim of study 3 was to investigate fear generalization on a neuronal level. Hence, high (HSA) and low socially anxious participants (LSA) underwent a conditioning paradigm, which was an adaption of the experimental design used study 2 for EEG. During the experiment, steady-state visually evoked potentials (ssVEPs) and ratings of valence and arousal were recorded. Analyses revealed significant generalization gradients in all ratings with highest fear responses to the CS+ and a progressive decline of these reactions with increasing similarity to the CS-. In contrast, the generalization gradient on a neuronal level showed highest amplitudes for the CS+ and a reduction in amplitude to the most proximal, but not distal GSs in the ssVEP signal, which might be interpreted as lateral inhibition in the visual cortex. The observed dissociation among explicit and implicit measures points to different functions of behavioral and sensory cortical processes during fear generalization: While the ratings might reflect an individual’s consciously increased readiness to react to threat, the lateral inhibition pattern in the occipital cortex might serve to maximize the contrast among stimuli with and without affective value and thereby improve adaptive behavior. As no group differences could be observed, the finding of study 2 that overgeneralization does not seem to be a marker of SAD is further consolidated.
In sum, the conducted experiments suggest that individuals with SAD are characterized by a general hyperarousal during the exposition to disorder-relevant stimuli as indicated by enhanced arousal and reduced valence ratings of the stimuli compared to HC. However, the hypotheses that reduced inhibitory attentional control and overgeneralization of conditioned fear are markers of SAD were mostly not confirmed. Further research is required to elucidate whether they only occur under certain circumstances, such as high cognitive load (e.g. handling two tasks simultaneously) or social stress (e.g. before giving a speech), or whether they are not characteristics of SAD at all. With the help of these findings, new interventions for the treatment of SAD can be developed, such as attentional bias modification or discrimination learning.
T cells play an essential role in the immune system. Engaging the T cell receptor (TCR) initiates a cascade of signaling events that activates the T cells. Neutral sphingomyelinase (NSM) is a member of a superfamily of enzymes responsible for the hydrolysis of sphingomyelin into phosphocholine and ceramide. Sphingolipids are essential mediators in signaling cascades involved in apoptosis, proliferation, stress responses, necrosis, inflammation, autophagy, senescence, and differentiation.
Upon specific ablation of NSM2, T cells proved to be hyper-responsive to CD3/CD28 co-stimulation, indicating that the enzyme acts to dampen early overshooting activation of these cells. It remained unclear whether a deregulated metabolic activity supports the hyper-reactivity of NSM2 deficient T cells. This work demonstrates that the ablation of NSM2 activity affects the metabolism of the quiescent CD4+ T cells. These accumulate ATP in mitochondria and increase basal glycolytic activity by increasing the basal glucose uptake and GLUT1 receptor expression, which, altogether, raises intracellular ATP levels and boosts cellular respiration. The increased basal metabolic activity is associated with rapid phosphorylation of S6, a mTORC1 target, as well as enhanced elevation total ATP levels within the first hour after CD3/CD28 costimulation. Increased metabolic activity in resting NSM2 deficient T cells does, however, not support sustained stimulated responses. While elevated under steady-state conditions and elevated early after co-stimulation in NSM2 deficient CD4+ T cells, the mTORC1 pathway regulating mitochondria size, oxidative phosphorylation, and ATP production is impaired after 24 hours of stimulation. Taken together, the absence of NSM2 promotes a hyperactive metabolic state in unstimulated CD4+ T cells yet fails to support sustained T cell responses upon antigenic stimulation without affecting T cell survival.
The present dissertation aims to shed light on different mechanisms of socio-emotional feedback in social decision-making situations. The objective is to evaluate emotional facial expressions as feedback stimuli, i.e., responses of interaction partners to certain social decisions. In addition to human faces, artificial emojis are also examined due to their relevance for modern digital communication. Previous research on the influence of emotional feedback suggests that a person's behavior can be effectively reinforced by rewarding stimuli. In the context of this dissertation, the differences in the feedback processing of human photographs and emojis, but also the evaluation of socially expected versus socially unexpected feedback were examined in detail in four studies. In addition to behavioral data, we used the electroencephalogram (EEG) in all studies to investigate neural correlates of social decision-making and emotional feedback.
As the central paradigm, all studies were based on a modified ultimatum game. The game is structured as follows: there is a so-called proposer who holds a specific amount of money (e.g., 10 cents) and offers the responder a certain amount (e.g., 3 cents). The responder then decides whether to accept or reject the offer. In the version of the ultimatum game presented here, different types of proposers are introduced. After the participants have accepted or rejected in the role of the responder, the different proposers react to the participant’s decision with specific emotional facial expressions. Different feedback patterns are used for the individual experiments conducted in the course of this dissertation.
In the first study, we investigated the influence of emotional feedback on decision-making in the modified version of the ultimatum game. We were able to show that a proposer who responds to the acceptance of an offer with a smiling face achieves more accepted offers overall than a control proposer who responds to both accepted and rejected offers with a neutral facial expression. Consequently, the smile served as a positive reinforcement. Similarly, a sad expression in response to a rejected offer also resulted in higher acceptance rates as compared to the control identity, which could be considered an expression of compassion for that proposer. On a neuronal level, we could show that there are differences between simply looking at negative emotional stimuli (i.e., sad and angry faces) and their appearance as feedback stimuli after rejected offers in the modified ultimatum game. The so-called feedback-related negativity was reduced (i.e., more positive) when negative emotions appeared as feedback from the proposers. We argued that these findings might show that the participants wanted to punish the proposers by rejecting an offer for its unfairness and therefore the negative feedback met their expectations. The altered processing of negative emotional facial expressions in the ultimatum game could therefore indicate that the punishment is interpreted as successful. This includes the expectation that the interaction partner will change his behavior in the future and eventually make fairer offers.
In the second study we wanted to show that smiling and sad emojis as feedback stimuli in the modified ultimatum game can also lead to increased acceptance rates. Contrary to our assumptions, this effect could not be observed. At the neural level as well, the findings did not correspond to our assumptions and differed strongly from those of the first study. One finding, however, was that the neural P3 component showed how the use of emojis as feedback stimuli particularly characterizes certain types of proposers. This is supported by the fact that the P3 is increased for the proposer who rewards an acceptance with a smile as well as for the proposer who reacts to rejection with a sad emoji compared to the neutral control proposer.
The third study examined the discrepancy between the findings of the first and second study. Accordingly, both humans and emojis representing the different proposers were presented in the ultimatum game. In addition, emojis were selected that showed a higher similarity to known emojis from common messenger services compared to the second study. We were able to replicate that the proposers in the ultimatum game, who reward an acceptance of the offer with a smile, led to an increased acceptance rate compared to the neutral control proposers. This difference is independent of whether the proposers are represented by emojis or human faces. With regard to the neural correlates, we were able to demonstrate that emojis and human faces differ strongly in their neural processing. Emojis showed stronger activation than human faces in the face-processing N170 component, the feedback-related negativity and the P3 component. We concluded that the results of the N170 and feedback-related negativity could indicate a signal for missing social information of emojis compared to faces. The increased P3 amplitude for emojis might imply that emojis appear unexpectedly as reward stimuli in a social decision task compared to human faces.
The last study of this project dealt with socially unexpected feedback. In comparison to the first three studies, new proposer identities were implemented. In particular, the focus was on a proposer who reacted to the rejection of an offer unexpectedly with a smile and to the acceptance with a neutral facial expression. According to the results, participants approach this unexpected smile through increased rejection, although it is accompanied by financial loss. In addition, as reported in studies one and three, we were able to show that proposers who respond to the acceptance of an offer with a smiling face and thus meet the expectations of the participants have higher offer acceptance rates than the control proposer. At the neuronal level, especially the feedback from the socially unexpected proposer led to an increased P3 amplitude, which indicates that smiling after rejection is attributed a special subjective importance.
The experiments provide new insights into the social influence through emotional feedback and the processing of relevant social cues. Due to the conceptual similarity of the studies, it was possible to differentiate between stable findings and potentially stimulus-dependent deviations, thus creating a well-founded contribution to the current research. Therefore, the novel paradigm presented here, and the knowledge gained from it could also play an important role in the future for clinical questions dealing with limited social competencies.
Periglacial environments are facing dramatic changes. Warming air temperatures and strong snow cover variations fundamentally affect landforming processes in this hotspot region of Climate Change. But before we can assess the response of landform development to a changing climate, we need to enhance our understanding of the internal structure of those landforms. Within this study, a broad scope of landform types from alpine and subarctic regions is investigated: rock glaciers, solifluction lobes, palsas and patterned ground. By using the geophysical methods 2-D and 3-D ERI, as well as GPR surveying, structural differences and similarities between landform units of different or the same landform types are highlighted. This enables a reconstruction of their past and a projection of their future development.
Neisseria meningitidis (N. meningitidis) is a human commensal that occasionally causes life-threatening infections such as bacterial meningitis and septicemia. Despite experi-mental evidence that the expression of small non-coding RNAs (sRNAs) as well as the RNA chaperone Hfq affect meningococcal physiology, the impact of RNA-based regula-tion (riboregulation) on fitness and virulence in N. meningitidis is only poorly understood. Therefore, this study addressed these issues using a combination of high-throughput tech-nologies.
A differential RNA-sequencing (dRNA-seq) approach was applied to produce a single-nucleotide resolution map of the primary transcriptome of N. meningitidis strain 8013. The dRNA-seq analysis predicted 1,625 transcriptional start sites including 65 putative sRNAs, of which 20 were further validated by northern blot analysis. By Hfq RNA im-munopreci-pitation sequencing a large Hfq-centered post-transcriptional regulatory net-work comprising 23 sRNAs and 401 potential mRNA targets was identified. Rifampicin stability assays demonstrated that Hfq binding confers enhanced stability on its associat-ed sRNAs. Based on these data, the interactions of two paralogous sRNAs and their cog-nate target mRNA prpB were validated in vivo as well as in vitro. Both sRNAs directly repress prpB encoding a methylisocitrate lyse which was previously shown to be involved in meningococcal colonization of the human nasopharynx.
Besides the well-described RNA chaperone Hfq, FinO-domain proteins have recently been recognized as a widespread family of RNA-binding proteins (RBPs) with regulatory roles in diverse bacteria. They display an intriguing bandwidth of target sites, ranging from a single RNA pair as recognized by plasmid-encoded FinO to the global RNA regu-lons of enterobacterial ProQ proteins. To better understand the intrinsic targeting mode of this RBP family, in vivo targets of the minimal ProQ protein of N. meningitidis were de-termined. In vivo UV crosslinking with RNA deep sequencing (UV-CLIP) identified as-sociations of ProQ with 16 sRNAs and 166 mRNAs encoding a variety of biological functions and thus revealed ProQ as another global RBP in meningococci. It could be shown that meningococcal ProQ predominantly binds to highly structured RNA regions including DNA uptake sequences (DUS) and rho-independent transcription terminators and stabilizes many of its RNA targets as proved by rifampicin stability experiments. As expected from the large suite of ProQ-bound RNAs, proQ deletion globally affects both gene and protein expression in N. meningitidis, changing the expression levels of at least 244 mRNAs and 80 proteins. Phenotypic analyses suggested that ProQ promotes oxida-tive stress tolerance and UV damage repair capacity, both of which are required for full virulence of N. meningitidis.
Together, this work uncovers the co-existence of two major post-transcriptional regulons, one governed by ProQ, the other by Hfq, in N. meningitidis. It further highlights the role of these distinct RBPs and its associated sRNAs to bacterial virulence and indicates that riboregulation is likely to contribute to the way how meningococci adapt to different host niches.
G protein coupled receptor kinases (GRK) phosphorylate and thereby desensitize G protein coupled receptors (GPCR) including β-adrenergic receptors (βAR), which are critical regulators of cardiac function. We identified the Raf kinase inhibitor protein (RKIP) as an endogenous inhibitor of GRK2 that leads to increased cardiac contractility via βAR activation. RKIP binds to the N-terminus (aa1-185) of GRK2, which is important for the GRK2/receptor interaction. Thereby it interferes with the GRK2/receptor interaction without interference with cytosolic GRK2 target activation. In this project, the RKIP/GRK interface was investigated to develop strategies that simulate the effects of RKIP on βAR.
RKIP binding to different isoforms of GRK expressed in the heart was analyzed by protein interaction assays using full-length and N-termini of GRK2, GRK3 and GRK5: 1-53, 54-185 and 1-185. Co-immunoprecipitation (Co-IPs) and pull-down assays revealed that RKIP binds to the peptides of GRK2 and GRK3 but not to the ones of GRK5, which suggests the existence of several binding sites of RKIP within the N-termini of GRK2 and GRK3. To analyze whether the peptides of GRK2 and GRK3 are able to simulate the RKIP mediated interference of the GRK2/receptor interaction, we analyzed the β2-AR phosphorylation in the absence and presence of the peptides. Interestingly, N-termini (aa1-185) of GRK2 and GRK3 reduced β2AR phosphorylation to a comparable extent as RKIP. In line with reduced receptor phosphorylation, the peptides also reduced isoproterenol-stimulated receptor internalization as shown by [3H] CGP-12177 radioligand binding assay and fluorescence microscopy compared to control cells. Subsequently, these peptides increased downstream signaling of β2AR, i.e. the phosphorylation of the PKA substrate phosducin. In an attempt to elucidate the mechanism behind the observed effects, Co-IPs were performed in order to investigate whether the peptides bind directly to the β2-AR and block its phosphorylation by GRK2. Indeed, GRK2 1-185 and GRK3 1-185 could bind the receptor, suggesting that this way GRK2 is prevented from inhibiting the receptor. To investigate the physiological effect of GRK2 1-185, GRK3 1-185 and GRK5 1-185, their effect on neonatal mouse cardiomyocyte contractility and hypertrophy was analyzed. After long-term isoproterenol stimulation, in the presence of GRK2 1 185 and GRK3 1-185 the cross-sectional area of the cardiomyocytes showed no significant increase in comparison to the unstimulated control cells. In addition, upon isoproterenol stimulation, GRK2 1-185 and GRK3 1-185 increased the beat rate in cardiomyocytes, mimicking RKIP while the base impedance, an indicator of viability, remained stable.
The N-termini (1-185) of GRK2 and GRK3 simulated RKIP’s function and had a significant influence on β2AR phosphorylation, on its downstream signaling and internalization, could bind β2-AR, increased beat rate and did not significantly induce hypertrophy, suggesting that they may serve as a model for the generation of new and more specific targeting strategies for GRK mediated receptor regulation.
Neisseria meningitidis, a commensal β-proteobacterium residing exclusively in the human nasopharynx, is a leading cause of sepsis and epidemic meningitis worldwide. While comparative genome analysis was able to define hyperinvasive lineages that are responsible for most of the cases of invasive meningococcal disease (IMD), the genetic basis of their virulence remains unclear. Recent studies demonstrate that the type II C CRISPR/Cas system of meningococci is associated with carriage and less invasive lineages. CRISPR/Cas, an adaptive defence system against foreign DNA, was shown to be involved in gene regulation in Francisella novicida. This study shows that knockout strains of N. meningitidis lacking the Cas9 protein are impaired in the adhesion to human nasopharyngeal cells in a strain-dependant manner, which constitutes a central step in the pathogenesis of IMD. Consequently, this study indicates that the meningococcal CRISPR/Cas system fulfils functions beyond the defence of foreign DNA and is involved in the regulation of meningococcal virulence.
We are living in a system that underlies permanent environmental changes due to the rotation of our planet. These changes are rhythmic with the most prominent one having a period of about 24 hours, but also shorter and longer rhythms characterize our environment. To cope with the ever-changing environmental conditions, it is thought to be beneficial if an organism can track and anticipate these changes. The so called endogenous clocks enable this and might provide a fitness advantage. To investigate and unravel the mechanism of endogenous clocks Chronobiologists have used different model organisms. In this thesis Drosophila melanogaster was used as model organism with its about 150 clock neurons representing the main endogenous clock of the fly in the central brain.
The molecular mechanisms and the interlocked feedback loops with the main circadian key players like period, timeless, clock or cycle are under investigation since the 1970s and are characterized quite well so far. But the impact of a functional endogenous clock in combination with diverse factors and the resulting fitness advantages were analysed in only a few studies and remains for the most part unknown. Therefore the aim of this thesis was to unravel the impact of Drosophila melanogaster`s endogenous clock on the fitness of the fly. To achieve this goal different factors – like day length, humidity and food composition – were analyzed in wild type CS and three different period mutants, namely perL, perS and per01, that carry a point mutation altering or abolishing the free-running period of the fruit fly as well as a second arrhythmic strain, clkAR.
In competition assay experiments wild type and clock mutant flies competed for up to 63 generations under a normal 24 hour rhythm with 12 hours light/day and 12 hours darkness/night (LD12:12) or T-cycles with 19 or 29 hours, according to the mutants free-running period, or constant light (LL) in case of the arrhythmic mutant as well as under natural-like outdoor conditions in two consecutive years. Overall the wild type CS strain was outcompeting the clock mutant strains independent of the environmental conditions. As the perL fly strain elongated their free-running period, the competition experiments were repeated with naturally cantonized new fly strains. With these experiments it could be shown that the genetic background of the fly strains – which are kept for decades in the lab, with backcrosses every few years – is very important and influences the fitness of flies. But also the day length impacts the fitness of the flies, enabling them to persist in higher percentage in a population under competition. Further factors that might influence the survival in a competing population were investigated, like e.g. mating preferences and locomotor activity of homo- and heterozygous females or sperm number of males transferred per mating. But these factors can still not explain the results in total and play no or only minor roles and show the complexity of the whole system with still unknown characteristics.
Furthermore populations of flies were recorded to see if the flies exhibit a common locomotor activity pattern or not and indeed a population activity pattern could be recorded for the first time and social contact as a Zeitgeber could be verified for Drosophila melanogaster.
In addition humidity and its impact on the flies´ fitness as well as a potential Zeitgeber was examined in this thesis. The flies experienced different relative humidities for eclosion and wing expansion and humidity cycle phase shifting experiments were performed to address these two different questions of fitness impact and potential Zeitgeber. The fruit fly usually ecloses in the morning hours when the relative humidity is quite high and the general assumption was that they do so to prevent desiccation. The results of this thesis were quite clear and demonstrate that the relative humidity has no great effect on the fitness of the flies according to successful eclosion or wing expansion and that temperature might be the more important factor. In the humidity cycle phase shifting experiments it could be revealed that relative humidity cannot act as a Zeitgeber for Drosophila melanogaster, but it influences and therefore masks the activity of flies by allowing or surpressing activity at specific relative humidity values.
As final experiments the lifespan of wild type and clock mutant flies was investigated under different day length and with different food qualities to unravel the impact of these factors on the fitness and therefore survival of the flies on the long run. As expected the flies with nutrient-poor minimum medium died earlier than on the nutrient-rich maximum medium, but a small effect of day length could also be seen with flies living slightly longer when they experience environmental day length conditions resembling their free-running period. The experiments also showed a fitness advantage of the wild type fly strain against the clock mutant strains for long term, but not short term (about the first 2-3 weeks).
As a conclusion it can be said that genetic variation is important to be able to adapt to changing environmental conditions and to optimize fitness and therefore survival. Having a functional endogenous clock with a free-running period of about 24 hours provides fitness advantages for the fruit fly, at least under competition. The whole system is very complex and many factors – known and unknown ones – play a role in this system by interacting on different levels, e.g. physiology, metabolism and/or behavior.
The initial goal was the conversion of Bifidobacterium adolescentis Sucrose Phosphorylase (BaSP) into a polyphenol glucosidase by structure based enzyme engineering. BaSP was chosen because of its ability to utilize sucrose, an economically viable and sustainable donor substrate, and transfer the glucosyl moiety to various acceptor substrates. The introduction of aromatic residues into the active site was considered a viable way to render it more suitable for aromatic acceptor compounds by reducing its polarity and potentially introducing π-π-interactions with the polyphenols. An investigation of the active site revealed Gln345 as a suitable mutagenesis target. As a proof of concept BaSP Q345F was employed in the glycosylation of (+)-catechin, (-)-epicatechin and resveratrol. The variant was selective for the aromatic acceptor substrates and the glucose disaccharide side reaction was only observed after almost quantitative conversion of the aromatic substrates. A crystal structure of BaSP Q345F in complex with glucose was obtained and it displayed an unexpected shift of an entire domain by 3.3 Å. A crystal structure of BaSP D192N-Q345F, an inactive variant in complex with resveratrol-3-α-D-glucosid, the glucosylation product of resveratrol, synthesized by BaSP Q345F was solved. It proved that the domain shift is in fact responsible for the ability of the variant to glycosylate aromatic compounds. Simultaneously a ligand free crystal structure of BaSP Q345F disproved an induced fit effect as the cause of the domain shift. The missing link, a crystal structure of BaSP Q345F in the F-conformation is obtained. This does not feature the domain shift, but is in outstanding agreement with the wildtype structure. The domain shift is therefore not static but rather a step in a dynamic process. It is further conceivable that the domain shifted conformation of BaSP Q345F resembles the open conformation of the wild type and that an adjustment of a conformational equilibrium as a result of the Q345F point mutation is observed. An investigation into the background reaction, the formation of glucose-glucose disaccharides of BaSP Q345F and three further variants that addressed the same region (L341C, D316C-L341C and D316C-N340C) revealed the formation of nigerose by BaSP Q345F.
This thesis aims for a better understanding of the mechanisms underlying anxiety as well as trauma- and stressor-related disorders and the development of new therapeutic approaches. I was first interested in the associative learning mechanisms involved in the etiology of anxiety disorders. Second, I explored the therapeutic effects of transcutaneous vagus nerve stimulation (tVNS) as a promising new method to accelerate and stabilize extinction learning in humans.
For these purposes, I applied differential anxiety conditioning protocols realized by the implementation of virtual reality (VR). Here, a formerly neutral virtual context (anxiety context, CTX+) is presented whereby the participants unpredictably receive mildly aversive electric stimuli (unconditioned stimulus, US). Another virtual context (safety context, CTX-) is never associated with the US. Moreover, extinction of conditioned anxiety can be modeled by presenting the same contexts without US delivery. When unannounced USs were administered after extinction, i.e. reinstatement, the strength of the “returned” conditioned anxiety can provide information on the stability of the extinction memory.
In Study 1, I disentangled the role of elemental and conjunctive context representations in the acquisition of conditioned anxiety. Sequential screenshots of two virtual offices were presented like a flip-book so that I elicited the impression of walking through the contexts. Some pictures of CTX+ were paired with an US (threat elements), but not some other screenshots of the same context (non-threat elements), nor the screenshots depicting CTX- (safety elements). Higher contingency ratings for threat compared to non-threat elements revealed elemental representation. Electro-cortical responses showed larger P100 and early posterior negativity amplitudes elicited by screenshots depicting CTX+ compared to CTX- and suggested conjunctive representation. These results support the dual context representation in anxiety acquisition in healthy individuals.
Study 2 addressed the effects of tVNS on the stabilization of extinction learning by using a context conditioning paradigm. Potentiated startle responses as well as higher aversive ratings in CTX+ compared to CTX- indicate successful anxiety conditioning. Complete extinction was found in startle responses and valence ratings as no differentiation between CTX+ and CTX- suggested. TVNS did not affect extinction or reinstatement of anxiety which may be related to the inappropriate transferability of successful stimulation parameters from epilepsy patients to healthy participants during anxiety extinction.
Therefore, in Study 3 I wanted to replicate the modulatory effects of tVNS on heart rate and pain perception by the previously used parameters. However, no effects of tVNS were observed on subjective pain ratings, on pain tolerance, or on heart rate. This led to the conclusion that the modification of stimulation parameters is necessary for a successful acceleration of anxiety extinction in humans.
In Study 4, I prolonged the tVNS and, considering previous tVNS studies, I applied a cue conditioning paradigm in VR. Therefore, during acquisition a cue (CS+) presented in CTX+ predicted the US, but not another cue (CS-). Both cues were presented in a second context (CTX-) and never paired with the US. Afterward, participants received either tVNS or sham stimulation and underwent extinction learning. I found context-dependent cue conditioning only in valence ratings, which was indicated by lower valence for CS+ compared to CS- in CTX+, but no differential ratings in CTX-. Successful extinction was indicated by equal responses to CS+ and CS-. Interestingly, I found reinstatement of conditioned fear in a context-dependent manner, meaning startle response was potentiated for CS+ compared to CS- only in the anxiety context. Importantly, even the prolonged tVNS had no effect, neither on extinction nor on reinstatement of context-dependent cue conditioning. However, I found first evidence for accelerated physiological contextual extinction due to less differentiation between startles in CTX+ compared to CTX- in the tVNS than in the sham stimulated group.
In sum, this thesis first confirms the dual representation of a context in an elemental and a conjunctive manner. Second, though anxiety conditioning and context-dependent cue conditioning paradigms worked well, the translation of tVNS accelerated extinction from rats to humans needs to be further developed, especially the stimulation parameters. Nevertheless, tVNS remains a very promising approach of memory enhancement, which can be particularly auspicious in clinical settings.
Amplification of N-MYC is a poor prognostic and survival marker of neuroblastoma. To broaden the scope of knowledge in N-MYC cancer biology, interactors of N-MYC should be investigated. TFIIIC complex was identified as a new protein interacting partner of N-MYC. TFIIIC is a core component of RNAPIII transcription machinery which is important for the synthesis of tRNA genes. TFIIIC recognizes and binds to B-box located internal of tRNA genes which subsequently initiate the RNAPIII transcription process. Apart from the role in RNAPIII transcription machinery, TFIIIC is an architectural protein. TFIIIC binds to thousands of sites across the genome without RNAPIII and TFIIIB. These binding loci are known as Extra TFIIIC (ETC) sites at which TFIIIC perform its role in genome organization. However, knowledge of TFIIIC is mostly restricted to studies conducted in yeasts, the exact function of TFIIIC and how it regulates N-MYC remains to be elucidated. To obtain a better overview about TFIIIC functions, two TFIIIC subunits (TFIIIC5 and TFIIIC2) which represent sub-complexes A and B were chosen for investigation. ChIP-seq experiment of RNAPIII transcription machinery was performed. It showed that both TFIIIC subunits functioned together as a complex. Next, joint binding sites of two TFIIIC subunits and N-MYC were identified. The data revealed that co-occupancies between N-MYC and TFIIIC subunits had different preference on genomic distribution. Furthermore, TFIIIC5 exhibited strong binding association with architectural proteins RAD21 and CTCF whereas TFIIIC2 was only modestly enriched with these two proteins. Both TFIIIC subunits showed equal but weak enrichment with accessory protein CAPH2. Despite the weak association with other architectural proteins, TFIIIC2 binds preferentially to repetitive elements SINE. In order to understand how TFIIIC5 affects other architectural proteins in chromatin binding, cells were depleted of TFIIIC protein upon doxycycline induction of shRNA. N-MYC binding was not affected. Yet, 50% reduction of RAD21 binding to joint N-MYC/TFIIIC sites was noticed. CAPH2 binding was increased at some joint sites while some did not respond. Lastly, CTCF did not show changes in binding under the effect of TFIIIC5 knockdown. In summary, the data indicated TFIIIC subunits from different sub-complexes diverge in functions other than tRNA synthesis. The association of TFIIIC5 with architectural proteins and TFIIIC2 with SINE elements were suggested to be distinct mechanisms to regulate N-Myc directly or indirectly.
Recent advances in Natural Language Preprocessing (NLP) allow for a fully automatic extraction of character networks for an incoming text. These networks serve as a compact and easy to grasp representation of literary fiction. They offer an aggregated view of the text, which can be used during distant reading approaches for the analysis of literary hypotheses. In their core, the networks consist of nodes, which represent literary characters, and edges, which represent relations between characters. For an automatic extraction of such a network, the first step is the detection of the references of all fictional entities that are of importance for a text. References to the fictional entities appear in the form of names, noun phrases and pronouns and prior to this work, no components capable of automatic detection of character references were available. Existing tools are only capable of detecting proper nouns, a subset of all character references. When evaluated on the task of detecting proper nouns in the domain of literary fiction, they still underperform at an F1-score of just about 50%. This thesis uses techniques from the field of semi-supervised learning, such as Distant supervision and Generalized Expectations, and improves the results of an existing tool to about 82%, when evaluated on all three categories in literary fiction, but without the need for annotated data in the target domain. However, since this quality is still not sufficient, the decision to annotate DROC, a corpus comprising 90 fragments of German novels was made. This resulted in a new general purpose annotation environment titled as ATHEN, as well as annotated data that spans about 500.000 tokens in total. Using this data, the combination of supervised algorithms and a tailored rule based algorithm, which in combination are able to exploit both - local consistencies as well as global consistencies - yield an algorithm with an F1-score of about 93%. This component is referred to as the Kallimachos tagger.
A character network can not directly display references however, instead they need to be clustered so that all references that belong to a real world or fictional entity are grouped together. This process widely known as coreference resolution is a hard problem in the focus of research for more than half a century. This work experimented with adaptations of classical feature based machine learning, with a dedicated rule based algorithm and with modern techniques of Deep Learning, but no approach can surpass 55% B-Cubed F1, when evaluated on DROC. Due to this barrier, many researchers do not use a fully-fledged coreference resolution when they extract character networks, but only focus on a more forgiving subset- the names. For novels such as Alice's Adventures in Wonderland by Lewis Caroll, this would however only result in a network in which many important characters are missing. In order to integrate important characters into the network that are not named by the author, this work makes use of automatic detection of speaker and addressees for direct speech utterances (all entities involved in a dialog are considered to be of importance). This problem is by itself not an easy task, however the most successful system analysed in this thesis is able to correctly determine the speaker to about 85% of the utterances as well as about 65% of the addressees. This speaker information can not only help to identify the most dominant characters, but also serves as a way to model the relations between entities.
During the span of this work, components have been developed to model relations between characters using speaker attribution, using co-occurrences as well as by the usage of true interactions, for which yet again a dataset was annotated using ATHEN. Furthermore, since relations between characters are usually typed, a component for the extraction of a typed relation was developed. Similar to the experiments for the character reference detection, a combination of a rule based and a Maximum Entropy classifier yielded the best overall results, with the extraction of family relations showing a score of about 80% and the quality of love relations with a score of about 50%. For family relations, a kernel for a Support Vector Machine was developed that even exceeded the scores of the combined approach but is behind on the other labels.
In addition, this work presents new ways to evaluate automatically extracted networks without the need of domain experts, instead it relies on the usage of expert summaries. It also refrains from the uses of social network analysis for the evaluation, but instead presents ranked evaluations using Precision@k and the Spearman Rank correlation coefficient for the evaluation of the nodes and edges of the network. An analysis using these metrics showed, that the central characters of a novel are contained with high probability but the quality drops rather fast if more than five entities are analyzed. The quality of the edges is mainly dominated by the quality of the coreference resolution and the correlation coefficient between gold edges and system edges therefore varies between 30 and 60%.
All developed components are aggregated alongside a large set of other preprocessing modules in the Kallimachos pipeline and can be reused without any restrictions.
A continuous arms race between the development of novel antibiotics and the evolution of corresponding resistance mechanisms in bacteria has been observed, since antibiotic agents like arsphenamines (e.g. Salvarsan, developed by Paul Ehrlich [1]), sulphonamides (e.g. Prontosil, Gerhard Domagk [2]) and penicillin (Alexander Fleming [3]) were first applied to effectively cure bacterial infections in the early 20th century. The rapid emergence of resistances in contrast to the currently lagging discovery of antibiotics displays a severe threat to human health. Some serious infectious diseases, such as tuberculosis or melioidosis, which were either thought to be an issue only in Third-World countries in case of tuberculosis, or regionally restricted with respect to melioidosis, are now on the rise to expand to other areas. In contrast, methicillin-resistant Staphylococcus aureus (MRSA) is already present in clinical setups all over the world and causes severe infections in immunocompromised patients. Thus, there is an urgent need for new and effective antimicrobial agents, which impair vital functions of the pathogen’s metabolism.
One central metabolic pathway is represented by the bacterial fatty-acid synthesis pathway (FAS II), which is essential for the synthesis of long and branched-chain fatty acids, as well as mycolic acids. These substances play a major role as modulating components of the properties of the most important protective barrier – the cell envelope. The integrity of the bacterial cell wall and the associated membrane(s) is crucial for cell growth and for protection against physical strain, intrusion of antibiotic agents and regulation of uptake of ions and other small molecules. Thus, this central pathway represents a promising target for antibiotic action against pathogens to combat infectious diseases. The last and rate-limiting step is catalysed by the trans-2-enoyl-ACP reductase (ENR) FabI or InhA (in mycobacteria), which has been demonstrated to be a valuable target for drug design and can be addressed, amongst others, by diphenyl ether (DPE) compounds, derived from triclosan (TCL) – the first one of this class which was discovered to bind to ENR enzymes [4, 5].
Based on this scaffold, inhibitors containing different combinations of substituents at crucial positions, as well as a novel type of substituent at position five were investigated regarding their binding behaviour towards the Burkholderia pseudomallei and Mycobacterium tuberculosis ENR enzymes bpFabI and InhA, respectively, by structural, kinetic and in-vivo experiments. Generally, substitution patterns modulate the association and dissociation velocities of the different ENR inhibitors in the context of the two-step slow-onset binding mechanism, which is observed for both enzymes. These alterations in the rapidity of complex formation and decomposition have a crucial impact on the residence time of a compound and hence, on the pharmacokinetic properties of potential drug candidates. For example, the substituents at the 2’-position of the DPE scaffold influence the ground- and transition state stability during the binding process to bpFabI, whereas 4’-substituents primarily alter the transition state [6]. The novel triazole group attached to the 5-position of the scaffold, targeting the hydrophobic part of the substrate-binding pocket in InhA, significantly enhances the energy barrier of the transition state of inhibitor binding [7] and decelerates the association- as well as the dissociation processes. Combinations with different substituents at the 2’-position can enhance or diminish this effect, e.g. by ground-state stabilisation, which will result in an increased residence time of the respective inhibitor on InhA.
Further structural investigations carried out in this work, confirm the proposed binding mode of a customised saFabI inhibitor [8], carrying a pyridone moiety on the DPE scaffold to expand interactions with the protein environment. Structural and preliminary kinetic data confirm the binding of the same inhibitor to InhA in a related fashion. Comparisons with structures of the ENR inhibitor AFN-1252 [9] bound to ENR enzymes from other organisms, addressing a similar region as the pyridone-moiety of the DPE inhibitor, suggest that also the DPE inhibitor bears the potential to display binding to homologues of saFabI and InhA and may be optimised accordingly.
Both of the newly investigated substituents, the pyridone moiety at the 4’-position as well as the 5-triazole substituent, provide a good starting point to modify the DPE scaffold also towards improved kinetic properties against ENR enzymes other than the herein studied and combining both groups on the DPE scaffold may have beneficial effects. The understanding of the underlying binding mechanism is a crucial factor to promote the dedicated design of inhibitors with superior pharmacokinetic characteristics.
A second target for a structure-based drug-design approach is the interaction surface between ENR enzymes and the acyl-carrier protein (ACP), which delivers the growing acyl chain to each distinct enzyme of the dissociated FAS-II system and presumably recognises its respective interaction partner via electrostatic contacts. The interface between saACP and saFabI was investigated using different approaches including crosslinking experiments and the design of fusion constructs connecting the ACP and the FabI subunits via a flexible linker region of varying lengths and compositions. The crosslinking studies confirmed a set of residues to be part of the contact interface of a previously proposed complex model [10] and displayed high crosslinking efficiency of saACP to saFabI when mutated to cysteine residues. However, crystals of the complex obtained from either the single components, or of the fusion constructs usually displayed weak diffraction, which supports the assumption that complex formation is highly transient. To obtain ordered crystals for structural characterisation of the complex it is necessary to trap the complex in a fixed state, e.g. by a high-affinity substrate attached to ACP [11], which abolishes rapid complex dissociation. For this purpose, acyl-coupled long-residence time inhibitors might be a valuable tool to elucidate the detailed architecture of the ACP-FabI interface. This may provide a novel basis for the development of inhibitors that specifically target the FAS-II biosynthesis pathway.
This Thesis explores hybrid structures on the basis of quantum spin Hall insulators, and in particular the interplay of their edge states and superconducting and magnetic order. Quantum spin Hall insulators are one example of topological condensed matter systems, where the topology of the bulk bands is the key for the understanding of their physical properties. A remarkable consequence is the appearance of states at the boundary of the system, a phenomenon coined bulk-boundary correspondence. In the case of the two-dimensional quantum spin Hall insulator, this is manifested by so-called helical edge states of counter-propagating electrons with opposite spins. They hold great promise, \emph{e.g.}, for applications in spintronics -- a paradigm for the transmission and manipulation of information based on spin instead of charge -- and as a basis for quantum computers. The beginning of the Thesis consists of an introduction to one-dimensional topological superconductors, which illustrates basic concepts and ideas. In particular, this includes the topological distinction of phases and the accompanying appearance of Majorana modes at their ends. Owing to their topological origin, Majorana modes potentially are essential building-blocks for topological quantum computation, since they can be exploited for protected operations on quantum bits. The helical edge states of quantum spin Hall insulators in conjunction with $s$-wave superconductivity and magnetism are a suitable candidate for the realization of a one-dimensional topological superconductor. Consequently, this Thesis investigates the conditions in which Majorana modes can appear. Typically, this happens between regions subjected to either only superconductivity, or to both superconductivity and magnetism. If more than one superconductor is present, the phase difference is of paramount importance, and can even be used to manipulate and move Majorana modes. Furthermore, the Thesis addresses the effects of the helical edge states on the anomalous correlation functions characterizing proximity-induced superconductivity. It is found that helicity and magnetism profoundly enrich their physical structure and lead to unconventional, exotic pairing amplitudes. Strikingly, the nonlocal correlation functions can be connected to the Majorana bound states within the system. Finally, a possible thermoelectric device on the basis of hybrid systems at the quantum spin Hall edge is discussed. It utilizes the peculiar properties of the proximity-induced superconductivity in order to create spin-polarized Cooper pairs from a temperature bias. Cooper pairs with finite net spin are the cornerstone of superconducting spintronics and offer tremendous potential for efficient information technologies.
Humans tend to believe in what they can see with their own eyes. Hence, visualization methods like microscopy have always been extremely popular since their invention in the 17th century. With the advent of super-resolution microscopy, the diffraction limit of ~200 - 250 nm could be overcome to enable more detailed insights into biological samples. Especially the single molecule localization microscopy method dSTORM offers the possibility of quantitative bioimaging. Hereby, the repetitive photoswitching of organic dyes in the presence of thiols is exploited to enable a lateral resolution of 20 nm. Another, recently introduced super-resolution method is expansion microscopy (ExM) which physically expands the sample to increase the resolution by the expansion factor from four to even twenty. To enable this, the sample is embedded into a hydrogel, homogenized using an unspecific proteinase and expanded in distilled water. Within this thesis, both methods were used to shed light on plasma membrane receptor distributions and different bacterial and fungal pathogens. In the first part of this thesis dSTORM was used to elucidate the “Receptome”, the entirety of all membrane receptors, of the cell line Jurkat T-cells and primary T-cells. Within this project we could successfully visualize and quantify the distribution of the plasma membrane receptors CD2, CD3, CD4, CD5, CD7, CD11a, CD20, CD28, CD45, CD69 and CD105 with receptor densities ranging from 0.8 cluster/µm² in case of CD20 and 81.4 cluster/µm² for the highly abundant CD45 in activated primary T-cells at the basal membrane. Hereby, we could also demonstrate a homogeneous distribution of most receptors, while only few were clustered. In the case of CD3-clusters were detected in Jurkat T-cells and in primary activated T-cells, but not in naïve ones, demonstrating the activation of this receptor. This was followed by the application of dSTORM to three different clinical projects involving the receptors CD38, BCMA and CD20 which are immunotherapeutic targets by monoclonal antibodies and CAR T-cells. In the first two projects dSTORM was applied to determine the receptor upregulation upon exposure of various drugs to MM1.S cells or primary multiple myeloma patient cells. This increase in membrane receptor expression can subsequently enhance the efficacy of therapies directed against these receptors. Within the CD20-project, the superior sensitivity of dSTORM compared to flow cytometry could be demonstrated. Hereby, a substantially higher fraction of CD20-positive patient cells was detected by dSTORM than by flow cytometry. In addition, we could show that by dSTORM CD20-positive evaluated cells were eradicated by immunotherapeutic CAR T-cell treatment. These studies were followed by whole cell super-resolution imaging using both LLS-3D dSTORM and 10x ExM to exclude any artifacts caused by interactions with the glass surface. In 10x ExM signal amplification via biotinylated primary antibodies and streptavidin ATTO 643 was essential to detect even single antibodies directed against the heterodimer CD11a with standard confocal microscopes. Albeit probably not quantitative due to the process of gelation, digestion and expansion during the ExM protocol, even some putative dimers of the receptor CD2 could be visualized using 10x ExM-SIM, similar to dSTORM experiments. Within the second part of this thesis, expansion microscopy was established in bacterial and fungal pathogens. ExM enabled not only an isotropic fourfold expansion of Chlamydia trachomatis, but also allowed the discrimination between the two developmental forms by the chlamydial size after expansion into reticulate and elementary bodies. Hereafter, a new α-NH2-ω-N3-C6-ceramide was introduced enabling an efficient fixation and for the first time the use of lipids in both, 4x and 10x ExM, termed sphingolipid ExM. This compound was used to investigate the ceramide uptake and incorporation into the cell membrane of Chlamydia trachomatis and Simkania negevensis. For Chlamydia trachomatis the combined resolution power of 10x ExM and SIM even allowed the visualization of both bacterial membranes within a distance of ~30 nm. Finally, ExM was applied to the three different fungi Ustilago maydis, Fusarium oxysporum and Aspergillus fumigatus after enzymatic removal of the fungal cell wall. In case of Ustilago maydis sporidia this digestion could be applied to both, living cells resulting in protoplasts and to fixed cells, preserving the fungal morphology. This new protocol could be demonstrated for immunostainings and fluorescent proteins of the three different fungi.
The CXC chemokine receptor 4 (CXCR4) and the atypical chemokine receptor 3 (ACKR3) are seven transmembrane receptors that are involved in numerous pathologies, including several types of cancers. Both receptors bind the same chemokine, CXCL12, leading to significantly different outcomes. While CXCR4 activation generally leads to canonical GPCR signaling, involving Gi proteins and β‐arrestins, ACKR3, which is predominantly found in intracellular vesicles, has been shown to signal via β‐arrestin‐dependent signaling pathways. Understanding the dynamics and kinetics of their activation in response to their ligands is of importance to understand how signaling proceeds via these two receptors.
In this thesis, different Förster resonance energy transfer (FRET)‐based approaches have been combined to individually investigate the early events of their signaling cascades. In order to investigate receptor activation, intramolecular FRET sensors for CXCR4 and ACKR3 were developed by using the pair of fluorophores cyan fluorescence protein and fluorescence arsenical hairpin binder. The sensors, which exhibited similar functional properties to their wild‐type counterparts, allowed to monitor their ligand-induced conformational changes and represent the first RET‐based receptor sensors in the field of chemokine receptors. Additional FRET‐based settings were also established to investigate the coupling of receptors with G proteins, rearrangements within dimers, as well as G protein activation. On one hand, CXCR4 showed a complex activation mechanism in response to CXCL12 that involved rearrangements in the transmembrane domain of the receptor followed by rearrangements between the receptor and the G protein as well as rearrangements between CXCR4 protomers, suggesting a role of homodimers in the activation course of this receptor. This was followed by a prolonged activation of Gi proteins, but not Gq activation, via the axis CXCL12/CXCR4. In contrast, the structural rearrangements at each step of the signaling cascade in response to macrophage migration inhibitory factor (MIF) were dynamically and kinetically different and no Gi protein activation via this axis was detected. These findings suggest distinct mechanisms of action of CXCL12 and MIF on CXCR4 and provide evidence for a new type of sequential signaling events of a GPCR. Importantly, evidence in this work revealed that CXCR4 exhibits some degree of constitutive activity, a potentially important feature for drug development. On the other hand, by cotransfecting the ACKR3 sensor with K44A dynamin, it was possible to increase its presence in the plasma membrane and measure the ligand‐induced activation of this receptor. Different kinetics of ACKR3 activation were observed in response to CXCL12 and three other agonists by means of using the receptor sensor developed in this thesis, showing that it is a valuable tool to study the activation of this atypical receptor and pharmacologically characterize ligands. No CXCL12‐induced G protein activation via ACKR3 was observed even when the receptor was re-localized to the plasma membrane by means of using the mutant dynamin. Altogether, this thesis work provides the temporal resolution of signaling patterns of two chemokine receptors for the first time as well as valuable tools that can be applied to characterize their activation in response to pharmacologically relevant ligands.
Platelet activation and aggregation at sites of vascular injury involves massive cytoskeletal re-organization, which is required for proper platelet function. Moreover, the cytoskeleton plays central roles in megakaryo- and thrombopoiesis. Thus, cytoskeletal protein aberrations can be the underlying reason for many pathological phenotypes. Although intensive research is carried out to identify the key players involved in cytoskeletal reorganization, the signaling cascades orchestrating these complex processes are still poorly understood. This thesis investigates the role of three actin-binding proteins, Coactosin-like (Cotl) 1, Profilin (Pfn) 1 and Thymosin (T) β4, in platelet formation and function using genetically modified mice.
ADF-H-containing proteins such as Twinfilin or Cofilin are well characterized as regulators of thrombopoesis and cytoskeletal reorganization. Although Cotl1 belongs to the ADF-H protein family, lack of Cotl1 did not affect platelet count or cytoskeletal dynamics. However, Cotl1-deficiency resulted in significant protection from arterial thrombus formation and ischemic stroke in vivo. Defective GPIb-vWF interactions and altered second wave mediator release present potential reasons for the beneficial effect of Cotl1-deficiency. These results reveal an unexpected function of Cotl1 as a regulator of thrombosis and hemostasis, establishing it as a potential target for a safe therapeutic therapy to prevent arterial thrombosis or ischemic stroke.
Recent studies showed that the organization of the circumferential actin cytoskeleton modulates calpain-mediated αIIbβ3 integrin closure, thereby also controlling αIIbβ3 integrin localization. The second part of this thesis identified the actin-sequestering protein Pfn1 as a central regulator of platelet integrin function as Pfn1-deficient platelets displayed almost abolished αIIbβ3 integrin signaling. This translated into a profound protection from arterial thrombus formation and prolonged tail bleeding times in vivo which was caused by enhanced calpain-dependent integrin closure. These findings further emphasize the importance of a functional actin cytoskeleton for intact platelet function in vitro and in vivo.
Tβ4 is a moonlighting protein, acting as one of the major actin-sequestering proteins in cells of higher eukaryotes and exerting various paracrine functions including anti-inflammatory, immunomodulatory and pro-angiogenic effects. Although excessively studied, its role for cytoskeletal dynamics, the distinction between endo- and exogenous protein function and its uptake and release mechanisms are still poorly understood. Constitutive Tβ4-deficiency resulted in thrombocytopenia accompanied by a largely diminished G-actin pool in platelets and divergent effects on platelet reactivity. Pre-incubation of platelets with recombinant Tβ4 will help to understand the function of endo- and exogenous protein, which is under current investigation.
Maintenance of tumor vasculature integrity is indispensable for tumor growth and thus affects tumor progression. Previous studies have identified platelets as major regulators of tumor vascular integrity, as their depletion selectively renders tumor vessels highly permeable, causing massive intratumoral hemorrhage. While these results establish platelets as potential targets for anti-tumor therapy, depletion is not a treatment option due to the essential role of platelets for hemostasis. This thesis demonstrates for the first time that functional inhibition of glycoprotein (GP) VI on the platelet surface rapidly induces tumor hemorrhage and diminishes tumor growth similar to complete platelet depletion but without inducing systemic bleeding complications. Both, the intratumoral bleeding and tumor growth arrest could be reverted by depletion of Ly6G+ cells confirming them to be responsible for the induction of bleeding and necrosis within the tumor. In addition, GPVI inhibition increased intra-tumoral accumulation of co-administered chemotherapeutic agents, thereby resulting in a profound anti-tumor effect. In summary, this thesis manifests platelet GPVI as a key regulator of vascular integrity specifically in growing tumors, serving as a potential basis for the development of anti-tumor strategies.
In the second part of this thesis, light is shed on the modulating role of bridging integrator 2 (BIN2) in platelet Ca2+ signaling. Stromal interaction molecule 1 (STIM1) mediated store-operated calcium entry (SOCE) is the major route of Ca2+ influx in platelets, triggered by inositol trisphosphate receptor (IP3R)-dependent Ca2+ store release. In this thesis, the BAR domain superfamily member BIN2 was identified as the first Ca2+ signaling modulator, interacting with both, STIM1 and IP3R in platelets. Deletion of BIN2 resulted in reduced Ca2+ store release and Ca2+ influx in response to all tested platelet agonists. These defects were a consequence of impaired IP3R function in combination with defective STIM1-mediated SOC channel activation, while Ca2+ store content and agonist-induced IP3 production were unaltered. These results establish BIN2 as a central regulator of platelet Ca2+ signaling.
The third part of this thesis focuses on the effect of the soluble neuronal guidance protein Sema7A on platelet function. Rosenberger et al. discovered that Sema7A cleavage from red blood cells increases the formation of platelet-neutrophil complexes, thereby reinforcing thrombo-inflammation in myocardial ischemia-reperfusion injury (MIRI). This thesis establishes soluble Sema7A as a stimulator of platelet thrombus formation via its interaction with platelet GPIbα, thereby reinforcing PNC formation. Thus, interfering with the GPIb-Sema7A interaction during MIRI represents a potential strategy to reduce cardiac damage and improve clinical outcome following MI.
Chapter 1
N-Heterocyclic olefins (NHOs), relatives of N-heterocyclic carbenes (NHCs), exhibit high nucleophilicity and soft Lewis basic character. To investigate their π-electron donating ability, NHOs were attached to triarylborane π-acceptors (A) giving donor(D)-π-A compounds 1-3. In addition, an enamine π-donor analogue (4) was synthesized for comparison.
UV-visible absorption studies show a larger red shift for the NHO-containing boranes than for the enamine analogue, a relative of a CAAC. The red shifted absorption of NHO-containing boranes indicate smaller energy gaps of NHO-containing boranes than CAAC-containing boranes. Solvent-dependent emission studies indicate that 1-4 have moderate intramolecular charge transfer (ICT) behavior.
Electrochemical investigations reveal that the NHO-containing boranes have extremely low reversible oxidation potentials (e.g., for 3, E1/2ox = –0.40 V vs. Fc/Fc+ in THF) which indicate the electron rich property of NHOs.
Furthermore, TD-DFT calculations were carried out on these four D-π-A boranes. The results show that the LUMOs of 1-4 only show a small difference, but the HOMOs of 1-3 are much more destabilized than that of the enamine-containing 4, which is in agreement with the electrochemical investigations and confirms the stronger donating ability of NHOs.
Chapter 2
Since the beginning of this century, the chemistry of (hetero)arene-fused boroles has attracted increasing interest. (Hetero)arene-fused boroles exhibit strong Lewis acidity, distinct fluorescence properties, strong electron accepting abilities, etc. However, their chemistry been only very briefly reviewed either as part of reviews on “free” boroles or on boron-doped polycyclic aromatic hydrocarbons (PAHs). In this chapter, we addressed the chemistry of (hetero)arene-fused boroles from fundamentals to their widely varying applications. It includes:
1) Synthetic methodology Both historical and recently developed strategies for the synthesis of fused boroles.
2) Stabilities A comparison of different kinetic protection strategies.
3) 9-Borafluorenes with a fluorinated backbone Application as Lewis acids, forming ion pairs with Cp2Zr(CH3)2 and applied as activators for polymerization, activators of H2, and other related applications.
4) Donor-acceptor 9-borafluorenes Applications as F– “turn on” sensors, potential applications as electron accepting units for organic (opto)electronics, bipolar transporting materials, TADF materials, and different functionalization strategies.
5) Heteroarene-fused boroles Enhanced antiaromaticity, unique coordination mode and their interesting properties.
6) Intramolecular dative bonding in 9-borafluorenes Bond-cleavage-induced intramolecular charge transfer (BICT), BICT-induced large Stoke shifts and dual emissions, application as a ratiometric sensor.
7) 9-Borafluorene-based main chain polymers Application in polymer chemistry and their distinct properties, e.g., as a sensor for gaseous NH3.
8) Electrochemistry A comparison of electron-accepting ability of different functionalized fused boroles through electrochemical studies.
9) Chemical reduction of fused boroles Stable radical anions and dianions of fused boroles and their properties.
10) Three-coordinate borafluorenium cations Cationic 9-borafluorenes and their interesting properties, e.g., in THF, reversible thermal colour switching properties.
Finally, a conclusion and outlook regarding the chemistry, properties and applications, and suggestions for areas which require further study was provided.
Chapter 3
Interested in fusing electron-poor arene onto boroles, two electron-poor phenylpyridyl-fused boroles, [TipPBB1]4 and TipPBB2 were prepared. [TipPBB1]4 is a white solid adopting a unique coordination mode, which forming a tetramer with a cavity in both the solid state and solution (1H DOSY). The boron center of TipPBB2 is 4-coordinate in the solid state, evidenced by a solid-state 11B{1H} RSHE/MAS NMR study, but the system dissociates in solution, leading to 3-coordinate borole species.
[TipPBB1]4 exhibits two reduction processes which are attributed to the phenylpyridyl cores. TipPBB2 also exhibits two reduction processes with the first half-reduction potential of E1/2red = –1.94 V. The electron accepting ability of TipPBB2 is largely enhanced and comparable to that of FMesBf. This enhanced electron accepting ability is attributed to the electron withdrawing property of the pyridyl group.
TipPBB2 exhibits concentration- and temperature-dependent dual fluorescence in solution. With the temperature is lowered, the emission intensity decreases (Figure 6.4, left). We suggested that the dual fluorescence is caused by an equilibrium between 3-coordinate TipPBB2 and a weak intermolecular adduct of TipPBB2 via a B–N bond. This hypothesis was further supported by lifetime measurements at different concentrations, low temperature excitation spectra low temperature 1H NMR spectra and lifetime measurements upon addition of DMAP to a solution of TipPBB2 to simulate the 4-coordiante TipPBB2 species. Interestingly, the ratio of the relative percentages of the two lifetimes shows a linear relationship with temperature; thus, TipPBB2 could serve as a fluorescent thermometer.
Furthermore, theoretical studies were carried out on TipPBB2, and two models, ((BMe3)TipPBB1(NMe3) and (BMe3)TipPBB2(NMe3)), which utilize a BMe3 group as the Lewis acid coordinated to pyridine and an NMe3 group as the Lewis base coordinated to the boron center of the borole, were used to simulate the [TipPBB1]4 and intermolecular 4-coordinate TipPBB2, respectively. Theoretical studies indicate that the HOMO of TipPBB2 is located at the Tip group, which is in contrast to its borafluorene derivatives for which the HOMOs are located on the borafluorene cores.
Chapter 4
Two derivatives of phenylpyridyl-fused boroles were prepared via functionalization of the pyridyl groups in two different directions, namely an electron-rich dihydropyridine moiety (compound 10) and an electron-deficient N-methylpyridinium cation (compound 11). Both compounds were fully characterized. The 11B NMR signal of compound 10 was observed at 58.8 ppm in CDCl3, which suggests strong conjugation between the boron atom and dihydropyridine moiety. Compound 11 shows a reversible coordination to THF which was confirmed by NMR studies. Compared to other 2,4,6-triisopropylphenyl protected 9-borafluorenes which only coordinate to CH3CN or DMF, the coordination of the weaker and bulkier THF to compound 11 indicates an extremely electron-deficient boron center in compound 11.
The electron-rich property of the dihydropyridine moiety of compound 10 was confirmed by its oxidation potential (Epc = +0.37 V). Due to the strong conjugation of the dihydropyridine moiety with the boron atom, the reduction potential of compound 10 shifts cathodically and is more negative than –2.5 V. Compound 11 exhibits three reduction processes with the first reversible reduction potential at Ered1/2 = –1.23 V, which is significantly anodically shifted compared to that of its precursor (TipPBB2) or its framework 1-methyl-2-phenylpyridin-1-ium triflate (12). This significantly anodically shifted reduction potential confirms an extremely electron-deficient property of compound 11.
Photophysical studies indicate that the lowest energy transition of compound 10 is more likely a locally-excited (LE) transition and compound 11 exhibits a polarized ground state.
Furthermore, we performed theoretical studies for both compounds. The electron cloud distribution of the HOMO of compound 10 supports the strong conjugation between the boron atom and the dihydropyridine moiety in the ground state. An extremely low LUMO energy was determined by theoretical studies which confirmed the extremely electron-deficient property of compound 11.
Chapter 5
Inspired by the enhancement of electron accepting ability with increasing numbers of electron withdrawing groups at boron, we tried to study the properties of a bis(pyridyl)arylboranes. In our attempt to synthesize a bis(pyridyl)arylborane, we obtained a bis(2-pyridyl)methoxyborate Li+ complex which is as a dimer both in solution and the solid state.
In the solid state, compound [16]2 is a dimer containing two bis(2-pyridyl)methoxyborate which are linked by two lithium cations. Each lithium cation coordinates to one methoxy group and two pyridyl groups, one from each of the two bis(2-pyridyl)methoxyborate anions. The parameters of [16]2 were compared with other bis(2-pyridyl)methoxyborate stabilized Pt(IV) complex, bis(2-pyridyl)hydroxylborate stabilized Ru(II) complex and the dimer of EtAl(OMe)(2-pyridyl)2Li.
To confirm the coordination mode in solution, 1H DOSY spectroscopy was carried out in CD2Cl2. The van der Waals radius obtained by 1H DOSY nicely matches with the result from the solid state and thus proves the dimer of 16 is persistent in solution.
Finally, different Lewis acids (e.g., TMSCl, BF3•Et2O, AlCl3, HCl) were used to attempt to detach the methoxy group of [16]2. However, we observed either decomposition or selective cleavage of the Tip group, or no reaction at all, rather than cleavage of the methoxy group from boron.
Structure-property relationships in poly(2-oxazoline)/poly(2-oxazine) based drug formulations
(2020)
According to estimates, more than 40% of all new chemical entities developed in pharmaceutical industry are practically insoluble in water. Naturally, the demand for excipients which increase the water solubility and thus, the bioavailability of such hydrophobic drugs is enormous. Poly(2-oxazoline)s (POx) are currently intensively discussed as highly versatile class of biomaterials. Although selected POx based micellar drug formulations exhibit extraordinarily high drug loadings > 50 wt.% enabling high anti-tumor efficacies in vivo, the formulation of other hydrophobic compounds has failed. This casts doubt on the general understanding in which a hydrophobic active pharmaceutical ingredient is dissolved rather unspecifically in the hydrophobic core of the micelles following the fundamental concept of “like dissolves like”. Therefore, a closer look at the interactions between all components within a formulation becomes increasingly important. To do so, a large vehicle platform was synthesized, loaded with various hydrophobic drugs of different structure, and the formulations subsequently characterized with conventional and less conventional techniques. The obtained in-depth insights helped to develop a more thorough understanding about the interaction of polymer and incorporated API finally revealing morphologies deviating from a classical core/shell structure. During these studies, the scarcely investigated polymer class of poly(2-oxazine)s (POzi) was found as promising drug-delivery vehicle for hydrophobic drugs. Apart from this fundamental research, the anti-tumor efficacy of the two APIs curcumin and atorvastatin has been studied in more detail. To increase the scope of POx and POzi based formulations designed for intravenous administration, a curcumin loaded hydrogel was developed as injectable drug-depot.
In this study, we examined the regional grey matter density in 35 spider phobic patients and 33 age, gender and education matched healthy controls. We used a method called Voxel-Based Morphometry, which allowed us to conduct a voxel- by-voxel analysis of the entire brain. We also tried to determine if there was any relationship between the severity of fear (expressed in BAT and SPQ score) and grey matter density. Based on previous findings, we expected to find structural changes in the following brain regions:
- prefrontal cortex;
- orbitofrontal cortex;
- anterior cingulate cortex;
- insula;
- visual and associative cortices.
Between-group comparison of spider phobic patients and healthy controls yielded no significant results. Additionally, and as expected, we did not find a between- group difference in TIV. Surprisingly, however, we found several brain regions whose GMD was significantly correlated with severity of spider phobia.
The score that correlated with several regions GMD and yielded the largest cluster was the SPQ. SPQ was positively correlated with dorsal anterior cingulate, right insula and left inferior parietal lobule. Final distance in centimetres was correlated with left superior frontal gyrus and right paracentral lobule densities. All correlations were observed at a cluster level and no significant results at peak level were found. Interestingly, out of all BAT fear values, only BAT when the spider was taken away had a positive correlation with GMD (vermis). There were no indications of reduced GMD in spider phobic patients.
Overall, our regions of significance were in line of those of other structural and functional neuroimaging studies in the field of specific phobia. As expected, we found GMD changes in the prefrontal cortex, ACC, insula and the associative
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cortices. The functions of these regions such as processing of disgust, attention, autonomous responses, consolidation of memory and regulation of affect support the possible involvement of these structures in SP.
We did, however, also yield some unexpected results (vermis, right paracentral lobule). Interestingly and in contrast to other studies, our results were only limited to the phobic group itself- we found no regions of significance in the SP-HC between-group analysis.
In the future, more VBM studies with larger size of spider phobic subjects should be conducted, further investigating both the between-group differences and the correlation between spider phobia severity and GMD. Additionally, studies should investigate the relationship between structural changes and activation patterns observed in fMRI, find out whether brain changes precede the clinical symptoms or vice versa and see, if structural changes normalize in response to CBT the same way functional changes do.
Structural and functional elucidation of the Type VIIb secretion system from Staphylococcus aureus
(2020)
The Type VII secretion system (T7SS) is linked to virulence and long-term pathogenesis in a broad range of Gram-positive bacteria, including the human commensal and pathogen Staphylococcus aureus. The Type VIIb secretion system (T7SSb) is responsible for the export of small toxic proteins, which induce antibacterial immune responses and mediate bacterial persistence in the host. In addition, it is also involved in bacterial competition. The T7SSb requires several proteins to build up the secretion machinery. This work focuses on the structural and functional investigation of the motor ATPase EssC and the putative pore forming, multi-pass membrane component EsaA. Both proteins are indispensable for substrate secretion.
EssC belongs to the FtsK/SpoIIIE ATPase family and is conserved among the T7SSs. It contains three C-terminal, cytosolic ATPase domains, designated as EssC- D1, -D2 and -D3, whereby EssC-D3 is the most distal one. In this thesis, I am presenting the crystal structure of the EssC-D3 at 1.7 Å resolution. As the deletion of EssC-D3 abrogates substrate export, I have demonstrated that this domain comprises a hydrophobic, surface-exposed pocket, which is required for substrate secretion. More specifically, I have identified two amino acids involved in the secretion process. In addition, my results indicate that not only EssC-D3 is important for substrate interaction but also EssC-D2 and/or EssC-D1. Unlike in the related Yuk T7SSb of Bacillus subtilis, the ATPase activity of D3 domain contributes to substrate secretion. Mutation of the modified Walker B motif in EssC-D3 diminishes substrate secretion completely.
The membrane protein EsaA encompasses an extracellular segment spanning through the cell wall of S. aureus. I was able to reveal that this part folds into a stable domain, which was crystallized and diffracted up to 4 Å. The first attempts to dissolve the structure failed due to a lack of homologues structures. Therefore, crystals for single-wavelength anomalous dispersion, containing selenomethionyl-substitutes, were produced and the structure solution is still in progress. Preliminary experiments addressing the function of the extracellular domain indicate an important role in substrate secretion and bacterial competition.
Gene expression and transfer of the genetic information to the next generation forms the basis of cellular life. These processes crucially rely on DNA, thus the preservation, transcription and translation of DNA is of fundamental importance for any living being. The general transcription factor TFIIH is a ten subunit protein complex, which consists of two subcomplexes: XPB, p62, p52, p44, p34, and p8 constitute the TFIIH core, CDK7, CyclinH, and MAT1 constitute the CAK. These two subcomplexes are connected via XPD. TFIIH is a crucial factor involved in both, DNA repair and transcription. The central role of TFIIH is underlined by three severe disorders linked to failure of TFIIH in these processes: xeroderma pigmentosum, Cockayne syndrome, and trichothiodystrophy. Only limited structural and functional data of TFIIH are available so far. Here, the model organism Chaetomium thermophilum was utilized with the aim to structurally and functionally characterize TFIIH. By combining the expression and purification of single TFIIH subunits with the co-expression and co-purification of dual complexes, a unique and powerful modular system of the TFIIH core subunits could be established, encompassing all proteins in high quality and fully functional. This system permits the step-wise assembly of TFIIH core, thereby making it possible to assess the influence of the intricate interaction network within TFIIH core on the overall enzymatic activities of TFIIH, which has not been possible so far. Utilizing the single subunits and dual complexes, a detailed interaction network of TFIIH core was established, revealing the crucial role of the p34 subunit as a central scaffold of TFIIH by linking the two proteins p44 and p52. Our studies also suggest that p62 constitutes the central interface of TFIIH to the environment rather than acting as a scaffold. TFIIH core complexes were assembled and investigated via electron microscopy. Preliminary data indicate that TFIIH adopts different conformational states, which are important to fulfill its functions in transcription and DNA repair. Additionally, a shortened construct of p62 was used to develop an easy-to-use, low cost strategy to overcome the crystallographic phase problem via cesium derivatization.
The work in this thesis contains three main topics. These are the passage from discrete to continuous models by means of $\Gamma$-convergence, random as well as periodic homogenization and fracture enabled by non-convex Lennard-Jones type interaction potentials. Each of them is discussed in the following.
We consider a discrete model given by a one-dimensional chain of particles with randomly distributed interaction potentials. Our interest lies in the continuum limit, which yields the effective behaviour of the system. This limit is achieved as the number of atoms tends to infinity, which corresponds to a vanishing distance between the particles. The starting point of our analysis is an energy functional in a discrete system; its continuum limit is obtained by variational $\Gamma$-convergence.
The $\Gamma$-convergence methods are combined with a homogenization process in the framework of ergodic theory, which allows to focus on heterogeneous systems. On the one hand, composite materials or materials with impurities are modelled by a stochastic or periodic distribution of particles or interaction potentials. On the other hand, systems of one species of particles can be considered as random in cases when the orientation of particles matters. Nanomaterials, like chains of atoms, molecules or polymers, are an application of the heterogeneous chains in experimental sciences.
A special interest is in fracture in such heterogeneous systems. We consider interaction potentials of Lennard-Jones type. The non-standard growth conditions and the convex-concave structure of the Lennard-Jones type interactions yield mathematical difficulties, but allow for fracture. The interaction potentials are long-range in the sense that their modulus decays slower than exponential. Further, we allow for interactions beyond nearest neighbours, which is also referred to as long-range.
The main mathematical issue is to bring together the Lennard-Jones type interactions with ergodic theorems in the limiting process as the number of particles tends to infinity. The blow up at zero of the potentials prevents from using standard extensions of the Akcoglu-Krengel subadditive ergodic theorem. We overcome this difficulty by an approximation of the interaction potentials which shows suitable Lipschitz and Hölder regularity. Beyond that, allowing for continuous probability distributions instead of only finitely many different potentials leads to a further challenge.
The limiting integral functional of the energy by means of $\Gamma$-convergence involves a homogenized energy density and allows for fracture, but without a fracture contribution in the energy. In order to refine this result, we rescale our model and consider its $\Gamma$-limit, which is of Griffith's type consisting of an elastic part and a jump contribution.
In a further approach we study fracture at the level of the discrete energies. With an appropriate definition of fracture in the discrete setting, we define a fracture threshold separating the region of elasticity from that of fracture and consider the pointwise convergence of this threshold. This limit turns out to coincide with the one obtained in the variational $\Gamma$-convergence approach.
In reconstructive and plastic surgery, there exists a growing demand of adequate tissue implants, since currently available strategies for autologous transplantation are limited by complications including transplant failure and donor site morbidity. By developing in vitro and in vivo autologous substitutes for defective tissue sites, adipose tissue engineering can address these challenges, although there are several obstacles to overcome. One of the major limitations is the sufficient vascularization of in vitro engineered large constructs that remains crucial and demanding for functional tissues. Decellularized jejunal segments may represent a suitable scaffolding system with preexisting capillary structures that can be repopulated with human microvascular endothelial cells (hMVECs), and a luminal matrix applicable for the adipogenic differentiation of human adipose-derived stem cells (hASCs). Hence, co-culture of these cells in jejunal segments, utilizing a custom-made bioreactor system, was characterized in terms of vascularization and adipose tissue development. Substantial adipogenesis of hASCs was demonstrated within the jejunal lumen in contrast to non-induced controls, and the increase of key adipogenic markers was verified over time upon induction. The development of major extracellular matrix components of mature adipose tissue, such as laminin and collagen IV, was shown within the scaffold in induced samples. Successful reseeding of the vascular network with hMVECs was demonstrated in long-term culture and co-localization of vascular structures and adipogenically differentiated hASCs was observed. Therefore, these results represent a novel approach for in vitro engineering of vascularized adipose tissue constructs that warrants further investigations in preclinical studies.
Another still existing obstacle in adipose tissue engineering is the insufficient knowledge about the applied cells, for instance the understanding of how cells can be optimally expanded and differentiated for successful engineering of tissue transplants. Even though hASCs can be easily isolated from liposuction of abdominal fat depots, yielding low donor site morbidity, huge numbers of cells are required to entirely seed complex and large 3D matrices or scaffolds. Thus, cells need to be large-scale expanded in vitro on the premise of not losing their differentiation capacity caused by replicative aging. Accordingly, an improved differentiation of hASCs in adipose tissue engineering approaches remains still desirable since most engineered constructs exhibit an inhomogeneous differentiation pattern. For mesenchymal stem cells (MSCs), it has been shown that growth factor application can lead to a significant improvement of both proliferation and differentiation capacity. Especially basic fibroblast growth factor (bFGF) represents a potent mitogen for MSCs, while maintaining or even promoting their osteogenic, chondrogenic and adipogenic differentiation potential. As there are currently different contradictory information present in literature about the applied bFGF concentration and the explicit effect of bFGF on ASC differentiation, here, the effect of bFGF on hASC proliferation and differentiation capacity was investigated at different concentrations and time points in 2D culture. Preculture of hASCs with bFGF prior to adipogenic induction showed a remarkable effect, whereas administration of bFGF during culture did not improve adipogenic differentiation capacity. Furthermore, the observations indicated as mode of action an impact of this preculture on cell proliferation capacity, resulting in increased cellular density at the time of adipogenic induction. The difference in cell density at this time point appeared to be pivotal for increased adipogenic capacity of the cells, which was confirmed in a further experiment employing different seeding densities. Interestingly, furthermore, the obtained results suggested a cell-cell contact-mediated mechanism positively influencing adipogenic differentiation. As a consequence, subsequently, studies were conducted focusing on intercellular communication of these cells, which has hardly been investigated to date.
Despite the multitude of literature on the differentiation capacity of ASCs, little is reported about the physiological properties contributing to and controlling the process of lineage differentiation. Direct intercellular communication between adjacent cells via gap junctions has been shown to modulate differentiation processes in other cell types, with connexin 43 (Cx43) being the most abundant isoform of the gap junction-forming connexins. Thus, in the present study we focused on the expression of Cx43 and gap junctional intercellular communication (GJIC) in hASCs, and its significance for adipogenic differentiation of these cells. Cx43 expression in hASCs was demonstrated histologically and on the gene and protein expression level and was shown to be greatly positively influenced by cell seeding density. Functionality of gap junctions was proven by dye transfer analysis in growth medium. Adipogenic differentiation of hASCs was shown to be also distinctly elevated at higher cell seeding densities. Inhibition of GJIC by 18α-glycyrrhetinic acid significantly compromised adipogenic differentiation, as demonstrated by histology, triglyceride quantification, and adipogenic marker gene expression. Flow cytometry analysis showed a lower proportion of cells undergoing adipogenesis when GJIC was inhibited, further indicating the importance of GJIC in the differentiation process. Altogether, these results demonstrate the impact of direct cell-cell communication via gap junctions on the adipogenic differentiation process of hASCs and may contribute to further integrate direct intercellular crosstalk in rationales for tissue engineering approaches.
Prediction intervals are needed in many industrial applications. Frequently in mass production, small subgroups of unknown size with a lifetime behavior differing from the remainder of the population exist. A risk assessment for such a subgroup consists of two steps: i) the estimation of the subgroup size, and ii) the estimation of the lifetime behavior of this subgroup. This thesis covers both steps. An efficient practical method to estimate the size of a subgroup is presented and benchmarked against other methods. A prediction interval procedure which includes prior information in form of a Beta distribution is provided. This scheme is applied to the prediction of binomial and negative binomial counts. The effect of the population size on the prediction of the future number of failures is considered for a Weibull lifetime distribution, whose parameters are estimated from censored field data. Methods to obtain a prediction interval for the future number of failures with unknown sample size are presented. In many applications, failures are reported with a delay. The effects of such a reporting delay on the coverage properties of prediction intervals for the future number of failures are studied. The total failure probability of the two steps can be decomposed as a product probability. One-sided confidence intervals for such a product probability are presented.
The stability of Trp in pure solutions and in parenteral AA formulations was evaluated with regard to typically used manufacturing processes, storage conditions and primary packaging. Therefore, thorough stability studies on Trp solutions were conducted beforehand. The applied stressing method, i.e. steam sterilization by autoclave, are chemically seen relatively mild but showed to be efficient to induce Trp degradation in the presence of oxygen. Subsequent identification, separation and characterization were challenging due to similar substance properties, numerous stereoisomers and pairs of diastereomers found amongst them. However, the identified o-aminoacetophenone compounds, Kyn and NFK, are associated with photo reactivity and have photo-oxidizing properties. Thus, best possible protection from UV-light, together with strict oxygen expulsion, are the most important criteria to impede Trp degradation after autoclaving.
The identification of Trp degradation products was assisted by the compilation of a substance library, which included manifold reported and chemically plausible Trp degradation substances. The substances were classified for priority and their early or late-stage occurrence. The large number of possible substances and stereoisomers was narrowed down with the information retrieved from LC-UV/MS experiments. However, final identification was achieved by the synthesis of proposed substances as references. The following eight substances were characterized as Trp degradation substances: Kyn, NFK and three pairs of diastereomers R,R/R,S DiOia, R,R/R,S Oia and cis/trans PIC. Fig. 33 shows the proposed degradation pathway and demonstrates the close chemical relationship, which may be an explanation for the conversion of some substances into each other during the storage period. The proposed pathway brings together the results of different Trp stability and stressing studies, respectively [89, 94, 97, 98, 103, 133]. To our knowledge, the simultaneous formation of the identified degradation substances has not been reported before and especially not under the stressing conditions applied.
The application of a traditional RP-HPLC method was compared to two developed IP-HPLC methods and a RP-HPLC methods using a modified perfluorinated column. Orthogonal analyses methods and especially the combination of UV and MS detection are necessary in order to indicate potentially undetected degradation substances. Main evaluation criteria were the separation performance, analyses time, reproducibility and feasibility. The best results upon assessment of all Trp degradation products, in both; pure Trp solutions and pharmaceutical formulations, were obtained by a traditional RP-HPLC. The optimized method was validated according to ICH guidelines Q2(R1) and meets the criteria of a stability-indicating HPLC-UV method. The validated method has a sufficient separation performance with an adequate selectivity indicating the Trp degradation substances next to each other and next to other AAs in finished pharmaceutical formulations.
The detailed knowledge of Trp degradation and the method presented may be transferred practically to the pharmaceutical industry processing Trp-containing products. In general, the findings might contribute to the quality management of such pharmaceutical products during
manufacturing and storage. Additionally, the study results provide basic information for the establishment of an impurity consideration following the ICH guidelines Q3B (R2) (impurities in new drug products) for products containing Trp. However, further development of the method applying more sophisticated detectors or more potent HPLC techniques like e.g. UHPLC and the implication of more sensitive (MS) detectors like ToF-MS would be advantageous with regard to economic and practical aspects.
Nanoelectronics is an essential technology for down-scaling beyond the limit of silicon-based electronics. Single-Wall Carbon Nanotubes (SWNT) are semiconducting components that exhibit a large variety of properties that make them usable for sensing, telecommunication, or computational tasks. Due to their high surface to volume ratio, carbon nanotubes are strongly affected by molecular adsorptions, and almost all properties depend on surface adsorption. SWNT with smaller diameters (0.7-0.9nm) show a stronger sensitivity to surface effects. An optimized synthesis route was developed to produce these nanotubes directly. They were produced with a clean surface, high quality, and large lengths of 2 μ m. The results complement previous studies on larger diameters (0.9-1.4nm). They allow performing statistically significant assumptions for a perfect nanotube, which is selected from a subset of nanotubes with good emission intensity, and high mechanical durability. The adsorption of molecules on the surface of carbon nanotubes influences the motion and binding strength of chargeseparated states in this system. To gain insight into the adsorption processes on the surface with a minimum of concurrent overlapping effects, a microscopic setup, and a measurement technique were developed. The system was estimated to exhibit excellent properties like long exciton diffusion lengths (>350nm), and big exciton sizes (8.5(5)nm), which was substantiated by a simulation. We studied the adsorption processes at the surface of Single-Wall Carbon Nanotubes for molecules in the gas phase, solvent molecules, and surfactant molecules. The experiments were all carried out on suspended individualized carbon nanotubes on a silicon wafer substrate. The experiments in the gas-phase showed that the excitonic emission energy and intensity experiences a rapid blue shift during observation. This shift was associated with the spontaneous desorption of large clusters of gaseous molecules caused by laser heat up. The measurement of this desorption was essential for creating a reference to an initially clean surface and allows us to perform a comparison with previous measurements on this topic. Furthermore, the adsorption of hydrogen on the nanotube surface at high temperatures was investigated. It was found that a new emission mode arises slightly red-shifted to the excitonic emission in these systems. The new signal is almost equally strong as the main excitonic peak and was associated with the brightening of dark excitons at sp3-defects through a K-phonon assisted pathway. The finding is useful for the direct synthesis of spintronic devices as these systems are known to act as single-photon emitters. The suspended nanotubes were further studied to estimate the effect of solvent adsorption on the excitonic states during nanotube dispersion for each nanotube individually. A significant quantum yield loss is observable for hexane and acetonitrile, while the emission intensity was found to be the strongest in toluene. The reference to a clean surface allowed us to estimate the exact influence of the dielectric environment of adsorbing solvents on the excitonic emission energy. Solvent adsorption was found to lead to an energy shift that is almost twice as high as suggested in previous studies. The amount of this energy shift, however, was comparably similar for all solvents, which suggests that the influence of the distinct dielectric constant in the outer environment less significantly influences the energy shift than previously thought. An interesting phenomenon was found when using acetonitrile as a solvent, which leads to greatly enhanced emission properties. The emission is more than twice as high as in the same air-suspended nanotubes, which suggests a process that depends on the laser intensity. In this study, it was reasonably explained how an energy down-conversion is possible through the coupling of the excitonic states with solvent vibrations. The strength of this coupling, however, also suggests adsorptions to the inside of the tubular nanotube structure leading to a coupled vibration of linear acetonitrile molecules that are adsorbed to the inner surface. The findings are important for the field of nanofluidics and provide an excellent system for efficient energy down-conversion in the transmission window of biological tissue. Having separated the pure effect of solvent adsorption allowed us to study the undisturbed molecular adsorption of polymers in these systems. The addition of polyfluorene polymer leads to a slow but stepwise intensity increase. The intensity increase is overlapping with a concurrent process that leads to an intensity decrease. Unfortunately, observing the stepwise process has a low spacial resolution of only 100-250nm, which is in the range of the exciton diffusion length in these systems and hinders detailed analysis. The two competing and overlapping processes processes are considered to originate from slow π-stacking and fast side-chain binding. Insights into this process are essential for selecting suitably formed polymers. However, the findings also emphasize the importance of solvent selection during nanotube dispersion since solvent effects were proven to be far more critical on the quantum yield in these systems. These measurements can shed light on the ongoing debate on polymers adsorption during nanotube individualization and allow us to direct the discussion more towards the selection of suitable solvents. This work provides fundamental insights into the adsorption of various molecules on the surface of individually observed suspended Single-Wall Carbon Nanotubes. It allows observing the adsorption of individual molecules below the optical limit in the solid, liquid, and gas phases. Nanotubes are able to act as sensing material for detecting changes in their direct surrounding. These fundamental findings are also crucial for increasing the quantum yield of solvent-dispersed nanotubes. They can provide better light-harvesting systems for microscopy in biological tissue and set the base for a more efficient telecommunication infrastructure with nano-scale spintronics devices and lasing components. The newly discovered solvent alignment in the nanotube surrounding can potentially also be used for supercapacitors that are needed for caching the calculation results in computational devices that use polymer wrapped nanotubes as transistors. Although fundamental, these studies develop a strategy to enlighten this room that is barely only visible at the bottom of the nano-scale.
This cumulative dissertation is organized as follows:
After the introduction, the second chapter, based on “Asymptotic independence of bivariate order statistics” (2017) by Falk and Wisheckel, is an investigation of the asymptotic dependence behavior of the components of bivariate order statistics. We find that the two components of the order statistics become asymptotically independent for certain combinations of (sequences of) indices that are selected, and it turns out that no further assumptions on the dependence of the two components in the underlying sample are necessary. To establish this, an explicit representation of the conditional distribution of bivariate order statistics is derived.
Chapter 3 is from “Conditional tail independence in archimedean copula models” (2019) by Falk, Padoan and Wisheckel and deals with the conditional distribution of an Archimedean copula, conditioned on one of its components. We show that its tails are independent under minor conditions on the generator function, even if the unconditional tails were dependent. The theoretical findings are underlined by a simulation study and can be generalized to Archimax copulas.
“Generalized pareto copulas: A key to multivariate extremes” (2019) by Falk, Padoan and Wisheckel lead to Chapter 4 where we introduce a nonparametric approach to estimate the probability that a random vector exceeds a fixed threshold if it follows a Generalized Pareto copula. To this end, some theory underlying the concept of Generalized Pareto distributions is presented first, the estimation procedure is tested using a simulation and finally applied to a dataset of air pollution parameters in Milan, Italy, from 2002 until 2017.
The fifth chapter collects some additional results on derivatives of D-norms, in particular a condition for the existence of directional derivatives, and multivariate spacings, specifically an explicit formula for the second-to-last bivariate spacing.
Traditional fashion retailers are increasingly hard-pressed to keep up with their digital competitors. In this context, the re-invention of brick-and-mortar stores as smart retail environments is being touted as a crucial step towards regaining a competitive edge. This thesis describes a design-oriented research project that deals with automated product tracking on the sales floor and presents three smart fashion store applications that are tied to such localization information: (i) an electronic article surveillance (EAS) system that distinguishes between theft and non-theft events, (ii) an automated checkout system that detects customers’ purchases when they are leaving the store and associates them with individual shopping baskets to automatically initiate payment processes, and (iii) a smart fitting room that detects the items customers bring into individual cabins and identifies the items they are currently most interested in to offer additional customer services (e.g., product recommendations or omnichannel services). The implementation of such cyberphysical systems in established retail environments is challenging, as architectural constraints, well-established customer processes, and customer expectations regarding privacy and convenience pose challenges to system design. To overcome these challenges, this thesis leverages Radio Frequency Identification (RFID) technology and machine learning techniques to address the different detection tasks. To optimally configure the systems and draw robust conclusions regarding their economic value contribution, beyond technological performance criteria, this thesis furthermore introduces a service operations model that allows mapping the systems’ technical detection characteristics to business relevant metrics such as service quality and profitability. This analytical model reveals that the same system component for the detection of object transitions is well suited for the EAS application but does not have the necessary high detection accuracy to be used as a component of an automated checkout system.
Chlamydia infect millions worldwide and cause infertility and blinding trachoma. Chlamydia trachomatis (C. trachomatis) is an obligate intracellular gram-negative pathogen with a significantly reduced genome. This bacterium shares a unique biphasic lifecycle in which it alternates between the infectious, metabolically inert elementary bodies (EB) and the non-infections, metabolically active replicative reticular bodies (RB).
One of the challenges of working with Chlamydia is its difficult genetic accessibility. In the present work, the high-throughput method TagRNA-seq was used to differentially label transcriptional start sites (TSS) and processing sites (PSS) to gain new insights into the transcriptional landscape of C. trachomatis in a coverage that has never been achieved before. Altogether, 679 TSSs and 1067 PSSs were detected indicating its high transcriptional activity and the need for transcriptional regulation. Furthermore, the analysis of the data revealed potentially new non-coding ribonucleic acids (ncRNA) and a map of transcriptional processing events. Using the upstream sequences, the previously identified σ66 binding motif was detected.
In addition, Grad-seq for C. trachomatis was established to obtain a global interactome of the RNAs and proteins of this intracellular organism. The Grad-Seq data suggest that many of the newly annotated RNAs from the TagRNA-seq approach are present in complexes. Although Chlamydia lack the known RNA-binding proteins (RBPs), e.g. Hfq and ProQ, observations in this work reveal the presence of a previously unknown RBP.
Interestingly, in the gradient analysis it was found that the σ66 factor forms a complex with the RNA polymerase (RNAP). On the other hand, the σ28 factor is unbound. This is in line with results from previous studies showing that most of the genes are under control of σ66. The ncRNA IhtA is known to function via direct base pairing to its target RNA of HctB, and by doing so is influencing the chromatin condensation in Chlamydia. This study confirmed that lhtA is in no complex. On the other hand, the ncRNA ctrR0332 was found to interact with the SNF2 protein ctl0077, a putative helicase. Both molecules co-sedimented in the gradient and were intact after an aptamer-based RNA pull-down. The SWI2/SNF2 class of proteins are nucleosome remodeling complexes. The prokaryotic RapA from E. coli functions as transcription regulator by stimulating the RNAP recycling. This view might imply that the small ncRNA (sRNA) ctrR0332 is part of the global regulation network in C. trachomatis controlling the transition between EBs and RBs via interaction with the SNF2 protein ctl0077.
The present work is the first study describing a global interactome of RNAs and proteins in C. trachomatis providing the basis for future interaction studies in the field of this pathogen.
The aim of the thesis was to develop water soluble poly(2-oxazoline) (POx) copolymers with new side group functionalities, which can be used for the formation of hydrogels in biomedical applications and for the development of peptide-polymer conjugates.
First, random copolymers of the monomer MeOx or EtOx with ButEnOx and EtOx with DecEnOx were synthesized and characterized. The vinyl functionality brought into the copolymer by the monomers ButEnOx and DecEnOx would later serve for post-polymerization functionalization. The synthesized copolymers were further functionalized with thiols via post-polymerization functionalization using a newly developed synthesis protocol or with a protected catechol molecule for hydrogel formation. For the formation of peptide-polymer conjugates, a cyclic thioester, namely thiolactone acrylamide and an azlactone precursor, whose synthesis was newly developed, were attached to the side chain of P(EtOx-co-ButEnOx) copolymers.
The application of the functionalized thiol copolymers as hydrogels using thiol-ene chemistry for cross-linking was demonstrated. The swelling behavior and mechanical properties were characterized. The hydrophilicity of the network as well as the cross-linking density strongly influenced the swelling behavior and the mechanical strength of the hydrogels. All hydrogels showed good cell viability results.
The hydrogel networks based on MeOx and EtOx were loaded with two dyes, fluorescein and methylene blue. It was observed that the uptake of the more hydrophilic dye fluorescein depended more on the ability of the hydrogel to swell. In contrast, the uptake of the more hydrophobic dye methylene blue was less dependent on the swelling degree, but much more on the hydrophilicity of the network.
For the potential application as cartilage glue, (biohybrid) hydrogels were synthesized based on the catechol-functionalized copolymers, with and without additional fibrinogen, using sodium periodate as the oxidizing agent. The system allowed for degradation due to the incorporated ester linkages at the cross-linking points. The swelling behavior as well as the mechanical properties were characterized. As expected, hydrogels with higher degrees of cross-linking showed less swelling and higher elastic modulus. The addition of fibrinogen however increased the elasticity of the network, which can be favorable for the intended application as a cartilage glue. Biological evaluation clearly demonstrated the advantage of degradable ester links in the hydrogel network, where chondrocytes were able to bridge the artificial gap in contrast to hydrogels without any ester motifs.
Lastly, different ways to form peptide-polymer conjugates were presented. Peptides were attached with the thiol of the terminal cysteine group to the vinyl side chain of P(EtOx-co-ButEnOx) copolymers by radical thiol-ene chemistry. Another approach was to use a cyclic thioester, thiolactone, or an azlactone functionality to bind a model peptide via native chemical ligation. The two latter named strategies to bind peptides to POx side chains are especially interesting as one and in the case of thiolactone two free thiols are still present at the binding site after the reaction, which can, for example, be used for further thiol-ene cross-linking to form POx hydrogels.
In summary, side functional poly(oxazoline) copolymers show great potential for numerous biomedical applications. The various side chain functionalities can be introduced by an appropriate monomer or by post-polymerization functionalization, as demonstrated. By their multi-functionality, hydrogel characteristics, such as cross-linking degree and mechanical strength, can be fine-tuned and adjusted depending on the application in the human body. In addition, the presented chemoselective and orthogonal reaction strategies can be used in the future to synthesize polymer conjugates, which can, for example, be used in drug delivery or in tissue regeneration.
Sharpening super-resolution by single molecule localization microscopy in front of a tuned mirror
(2020)
The „Resolution Revolution" in fluorescence microscopy over the last decade has given rise to a variety of techniques that allow imaging beyond the diffraction limit with a resolution power down into the nanometer range. With this, the field of so-called super-resolution microscopy was born. It allows to visualize cellular architecture at a molecular level and thereby achieve a resolution level that had been previously only accessible by electron microscopy approaches.
One of these promising techniques is single molecule localization microscopy (SMLM) in its most varied forms such as direct stochastic optical reconstruction microscopy (dSTORM) which are based on the temporal separation of the emission of individual fluorophores. Localization analysis of the subsequently taken images of single emitters eventually allows to reconstruct an image containing super-resolution information down to typically 20 nm in a cellular setting. The key point here is the localization precision, which mainly depends on the image contrast generated the by the individual fluorophore’s emission. Thus, measures to enhance the signal intensity or reduce the signal background allow to increase the image resolution achieved by dSTORM. In my thesis, this is achieved by simply adding a reflective metal-dielectric nano-coating to the microscopy coverslip that serves as a tunable nano-mirror.
I have demonstrated that such metal-dielectric coatings provide higher photon yield at lower background and thus substantially improve SMLM performance by a significantly increased localization precision, and thus ultimately higher image resolution. The strength of this approach is that ─ except for the coated cover glass ─ no specialized setup is required. The biocompatible metal-dielectric nano-coatings are fabricated directly on microscopy coverslips and have a simple three-ply design permitting straightforward implementation into a conventional fluorescence microscope. The introduced improved lateral resolution with such mirror-enhanced STORM (meSTORM) not only allows to exceed Widefield and Total Internal Reflection Fluorescence (TIRF) dSTORM performance, but also offers the possibility to measure in a simplified setup as it does not require a special TIRF objective lens.
The resolution improvement achieved with meSTORM is both spectrally and spatially tunable and thus allows for dual-color approaches on the one hand, and selectively highlighting region above the cover glass on the other hand, as demonstrated here.
Beyond lateral resolution enhancement, the clear-cut profile of the highlighted region provides additional access to the axial dimension. As shown in my thesis, this allows for example to assess the three-dimensional architecture of the intracellular microtubule network by translating the local localization uncertainty to a relative axial position. Even beyond meSTORM, a wide range of membrane or surface imaging applications may benefit from the selective highlighting and fluorescence enhancing provided by the metal-dielectric nano-coatings. This includes for example, among others, live-cell Fluorescence Correlation Spectroscopy and Fluorescence Resonance Energy Transfer studies as recently demonstrated.
Honest actions predominate human behavior. From time to time, this general preference must yield to dishonest actions, which require an effortful process of overcoming initial honest response activation. This thesis presents three experimental series to elucidate this tug-of-war between honest and dishonest response tendencies in overtly committed instances of lies, thereby joining recent efforts to move from a sheer phenomenological perspective on dishonest responding as being more difficult than honest responding to a precise description of the underlying cognitive processes. The consideration of cognitive theories, empirical evidence, and paradigms from different research fields – dishonesty, cognitive control and sensorimotor stage models of information processing – lay the groundwork for the research questions and methodological approach of this thesis.
The experiments pinpoint the underlying conflict of dishonest responding in the central, capacity-limited stage of information processing (Experiments 1 to 4), but they also demonstrate that cognitive control processes (Experiments 5 to 7) and the internalization of false alibis (Experiments 8 to 11) can reduce or even completely eliminate this conflict. The data reveals great flexibility at the cognitive basis of dishonest responding: On the one hand, dishonest responding appears to rely heavily on capacity-limited processes of response selection to overcome honest response tendencies alongside up- and downstream consequences of response activation and monitoring. On the other hand, agents have powerful tools to mitigate these effortful processes through control adaptation and false alibis. These results support and expand current theorizing of the cognitive underpinnings of dishonest responding. Furthermore, they are alerting from an applied perspective on the detection of lies, especially when considering the flexibility of even basic cognitive processes in the face of false alibis. A promising way to move forward from here would be a fine-grained discrimination of response activation, passive decay and active inhibition of honest representations in dishonest responding and the assessment of the adaptiveness of these processes.
Induced pluripotent stem cells (iPSCs) have been recognised as a virtually unlimited source of stem cells that can be generated in a patient-specific manner. Due to these cells’ potential to give rise to all differentiated cell types of the human body, they have been widely used to derive differentiated cells for drug screening and disease modelling purposes. iPSCs also garner much interest as they can potentially serve as a source for cell replacement therapy. Towards the realisation of these biomedical applications, this thesis aims to address challenges that are associated with scale-up, safety and biofabrication.
Firstly, the manufacture of a high number of human iPSCs (hiPSCs) will require standardised procedures for scale-up and the development of a flexible bioprocessing method, since standard adherent hiPSC culture exhibits limited scalability and is labour-intensive. While the quantity of cells that are required for cell therapy depends largely on the tissue and defect that these replacing cells are meant to correct, an estimate of 1 × 10^9 has been suggested to be sufficient for several indications, including myocardial infarction and islet replacement for diabetes. Here, the development of an integrated, microcarrier-free workflow to transition standard adherent hiPSC culture (6-well plates) to scalable stirred suspension culture in bioreactors (1 L working volume, 2.4 L maximum working volume) is presented. The two-phase bioprocess lasts 14 days and generates hiPSC aggregates measuring 198 ± 58 μm in diameter on the harvesting day, yielding close to 2 × 10^9 cells. hiPSCs can be maintained in stirred suspension for at least 7 weeks with weekly passaging, while exhibiting pluripotency-associated markers TRA-1-60, TRA-1-81, SSEA-4, OCT4, and SOX2. These cells retain their ability to differentiate into cells of all the three germ layers in vitro, exemplified by cells positive for AFP, SMA, or TUBB3. Additionally, they maintain a stable karyotype and continue to respond to specification cues, demonstrated by directed differentiation into beating cardiomyocyte-like cells. Therefore, the aim of manufacturing high hiPSC quantities was met using a state-of-the-art scalable suspension bioreactor platform.
Secondly, multipotent stem cells such as induced neural stem cells (iNSCs) may represent a safer source of renewable cells compared to pluripotent stem cells. However, pre-conditioning of stem cells prior to transplantation is a delicate issue to ensure not only proper function in the host but also safety. Here, iNSCs which are normally maintained in the presence of factors such as hLIF, CHIR99021, and SB431542 were cultured in basal medium for distinct periods of time. This wash-out procedure results in lower proliferation while maintaining key neural stem cell marker PAX6, suggesting a transient pre-differentiated state. Such pre-treatment may aid transplantation studies to suppress tumourigenesis through transplanted cells, an approach that is being evaluated using a mouse model of experimental focal demyelination and autoimmune encephalomyelitis.
Thirdly, biomedical applications of stem cells can benefit from recent advancements in biofabrication, where cells can be arranged in customisable topographical layouts. Employing a 3DDiscovery bioprinter, a bioink consisting of hiPSCs in gelatin-alginate was extruded into disc-shaped moulds or printed in a cross-hatch infill pattern and cross-linked with calcium ions. In both discs and printed patterns, hiPSCs recovered from these bioprints showed viability of around 70% even after 4 days of culture when loaded into gelatin-alginate solution in aggregate form. They maintained pluripotency-associated markers TRA-1-60 and SSEA-4 and continued to proliferate after re-plating. As further proof-of-principle, printed hiPSC 3D constructs were subjected to targeted neuronal differentiation, developing typical neurite outgrowth and resulting in a widespread network of cells throughout and within the topology of the printed matrix. Staining against TUBB3 confirmed neuronal identity of the differentiated cellular progeny. In conclusion, these data demonstrate that hiPSCs not only survive the 3D-printing process but were able to differentiate along the printed topology in cellular networks.
L-type calcium channels (LTCCs) control crucial physiological processes in cardiomyocytes such as the duration and amplitude of action potentials, excitation-contraction coupling and gene expression, by regulating the entry of Ca2+ into the cells. Cardiac LTCCs consist of one pore-forming α1 subunit and the accessory subunits Cavβ, Cavα2δ and Cavγ. Of these auxiliary subunits, Cavβ is the most important regulator of the channel activity; however, it can also have LTCC-independent cellular regulatory functions. Therefore, changes in the expression of Cavβ can lead not only to a dysregulation of LTCC activity, but also to changes in other cellular functions. Cardiac hypertrophy is one of the most relevant risk factors for congestive heart failure and depends on the activation of calcium-dependent prohypertrophic signaling pathways. However, the role of LTCCs and especially Cavβ in this pathology is controversial and needs to be further elucidated.
Of the four Cavβ isoforms, Cavβ2 is the predominant one in cardiomyocytes. Moreover, there are five different splice variants of Cavβ2 (Cavβ2a-e), differing only in the N-terminal region. We reported that Cavβ2b is the predominant variant expressed in the heart. We also revealed that a pool of Cavβ2 is targeted to the nucleus in cardiomyocytes. The expression of the nuclear Cavβ2 decreases during in vitro and in vivo induction of cardiomyocyte hypertrophy and overexpression of a nucleus-targeted Cavβ2 completely abolishes the in vitro induced hypertrophy. Additionally, we demonstrated by shRNA-mediated protein knockdown that downregulation of Cavβ2 enhances the hypertrophy induced by the α1-adrenergic agonist phenylephrine (PE) without involvement of LTCC activity. These results suggest that Cavβ2 can regulate cardiac hypertrophy through LTCC-independent pathways. To further validate the role of the nuclear Cavβ2, we performed quantitative proteome analyses of Cavβ2-deficient neonatal rat cardiomyocytes (NRCs). The results show that downregulation of Cavβ2 influences the expression of various proteins, including a decrease of calpastatin, an inhibitor of the calcium-dependent cysteine protease calpain. Moreover, downregulation of Cavβ2 during cardiomyocyte hypertrophy drastically increases calpain activity as compared to controls after treatment with PE. Finally, the inhibition of calpain by calpeptin abolishes the increase in PE-induced hypertrophy in Cavβ2-deficient cells. These results suggest that nuclear Cavβ2 has Ca2+- and LTCC-independent functions during the development of hypertrophy. Overall, our results indicate a new role for Cavβ2 in antihypertrophic signaling in cardiac hypertrophy.
Nicotinamide N-methyltransferase (NNMT) is a new regulator of energy homeostasis. Its expression is increased in models of obesity and diabetes. An enhanced NNMT level is also caused by an adipose tissue-specific knockout of glucose transporter type 4 (GLUT4) in mice, whereas the overexpression of this glucose transporter reduced the NNMT expression. Furthermore, the knockdown of the enzyme prevents mice from diet-induced obesity (DIO) and the recently developed small molecule inhibitors for NNMT reverses the DIO. These previous findings demonstrated the exclusive role of NNMT in adipose tissue and further make it to a promising target in obesity treatment. However, the regulation mechanism of this methyltransferase is not yet clarified.
The first part of the thesis focus on the investigation whether pro-inflammatory signals are responsible for the enhanced NNMT expression in obese adipose tissue because a hallmark of this tissue is a low-level chronic inflammation. Indeed, the NNMT mRNA in our study was elevated in obese patients compared with the control group, whereas the GLUT4 mRNA expression does not differ between lean and obese humans. To analyze whether pro inflammatory signals, like interleukin (IL 6) and tumor necrosis factor α (TNF-α), regulate NNMT expression 3T3-L1 adipocytes were treated with these cytokines. However, IL 6, TNF α, and leptin, which is an alternative activator of the JAK/STAT pathway, did not affect the NNMT protein or mRNA level in differentiated 3T3-L1 adipocytes. The mRNA and protein levels were measured by quantitative polymerase chain reaction (qPCR) and western blotting.
In the second part of this study, 3T3-L1 adipocytes were cultivated with varying glucose concentrations to show whether NNMT expression depends on glucose availability. Further studies with activators and inhibitors of AMP-activated protein kinase (AMPK) and mechanistic target of rapamycin (mTOR) signaling pathways were used to elucidate the regulation mechanism of the enzyme.
The glucose deprivation of differentiated 3T3-L1 adipocytes led to a 2-fold increase in NNMT expression. This effect was confirmed by the inhibition of the glucose transports with phloretin as well as the inhibition of glycolysis with 2-deoxyglucose (2-DG). AMPK serves as an intracellular energy sensor and the pharmacological activation of it enhanced the NNMT expression. This increase was also caused by the inhibition of mTOR. Conversely, the activation of mTOR using MHY1485 prevented the effect of glucose deprivation on NNMT. Furthermore, the NNMT up-regulation was also blocked by the different autophagy inhibitors.
Taken together, NNMT plays a critical role in autophagy in adipocytes, because an inhibition of this process prevented the augmented NNMT expression during glucose starvation. Moreover, the effect on NNMT protein and mRNA level depends on AMPK and mTOR. However, pro-inflammatory signals did not affect the expression. Further in vivo studies have to clarify whether AMPK activation and mTOR inhibition as well as autophagy are responsible for the increased NNMT levels in obese adipose tissue. In future this methyltransferase emerges as an awesome therapeutic target for obesity.
In the last two decades, coherent multidimensional femtosecond spectroscopy has become a powerful and versatile tool to investigate chemical dynamics of a broad variety of quantum systems. The combination of transient information, equivalent to pumpprobe spectroscopy, with information about coupling between energetic states and the system environment allows an extensive insight into atomic and molecular properties. Many experimental 2D setups employ the coherence-detected approach, where nonlinear system responses are emitted as coherent electric _elds which are detected after spatial separation from the excitation pulses. As an alternative to this experimentally demanding approach, population-based 2D spectroscopy has been established. Here, the coherent information is encoded in the phases of a collinear excitation-pulse train and extracted from incoherent signals like uorescence via phase cycling. In principle, the use of uorescence as observable can boost the sensitivity down to the single-molecule level. The aim of this work was the realization of a pulse-shaper assisted fully collinear uorescence-detected 2D setup and the conducting of proof-of-principle experiments in the liquid phase. This inherently phase-stable and compact setup has been presented in chapter 3, with the utilized pulse shaper granting amplitude and phase modulation on a shot-to-shot basis. Two di_erent types of white-light sources have been applied and evaluated with regard to their respective advantages for 2D uorescence spectroscopy. A variety of artifact sources that can occur with the present setup have been discussed, and correction schemes and instructions for avoiding these artifacts have been provided. In chapter 4, the setup has been demonstrated by employing a four-pulse sequence on cresyl violet in ethanol. A detailed data-acquisition and data-analysis procedure has been presented, where phase cycling is used for extraction of the nonlinear contributions. Depending on the phase-cycling scheme, it is possible to recover all nonlinear contributions in a single measurement. Well-known quantum-beating behavior of cresyl violet during the population time could be reproduced. Due to measuring in a rotating-frame environment and 1 kHz shot-to-shot pulse incrementation, it was possible to obtain a 2D spectrum for one population time in 6 s. Via error evaluation it has been shown that 10_ averaging (1 min) is su_cient to obtain a root-mean-square error of < 0:05 compared to 400_ averaging, proving that the utilized acquisition scheme is well suited. The realization of the _rst experimental uorescence-detected 2Q 2D experiment and the _rst experimental access to the theoretically predicted 1Q-2Q contribution
Availability of water and desiccation of important water reservoirs is a vital challenge in semi-arid to arid climates with growing economy and population. Low quantities of precipitation and high evaporation rates leave the water supply vulnerable to human activity and climatic variations. Endorheic basins of Northern Iran were hydrologically landlocked within geological timescales and thus bear evidence of past variations of water resources in generations of water related landforms, like abandoned lake level shorelines, alluvial fans and stream terraces. Understanding the development of these landforms reveals crucial information about past water reservoirs and landscape history.
This study offers a comprehensive approach on understanding the geomorphological development of the landscape throughout Late Pleistocene and Holocene times. It integrates remote sensing and geographic information system analysis, with geomorphological and stratigraphical mapping fieldwork and detailed sedimentological investigations.
The work shows the importance of analytical geomorphological mapping for delineating stratigraphic units of the Iranian Quaternary. Thus, several phases of drying and lake level retreat were identified in parallel geoarchives and could be dated to a time span from today to Late Pleistocene. The findings link the fate of the citizens of the ancient city of "Tepe Hissar" to their access to water and to the power of geomorphological processes, which started changing their environment.
Quantitative genetics is the study of continuously distributed traits and their ge-
netic components. Recent developments in DNA sequencing technologies and
computational systems allow researchers to conduct large scale in silico studies.
However, going from raw DNA reads to genomic prediction of quantitative traits
with the help of neural networks is a long and error-prone process. In the course
of this thesis, many steps involved in this process will be assessed in depth. Chap-
ter 2 will feature a study that compares the landscape of chloroplast genome as-
sembly tools. Chapter 3 will present a software to perform genome-wide associa-
tion studies using modern tools, which allow GWAS-Flow to outperform current
state of the art software packages. Chapter 4 will give an in depth introduc-
tion to machine learning and the nature of quantitative traits and will combine
those to genomic prediction with artificial neural networks and compares the re-
sults to those of algorithms based on linear mixed models. Finally, in Chapter 5
the results from the previous chapters are summarized and used to elucidate the
complex nature of studies concerning quantitative genetics.
Quantitative Electron Paramagnetic Resonance Studies of Charge Transfer in Organic Semiconductors
(2020)
In the present work we investigated various charge transfer processes, as they appear in the versatile world of organic semiconductors by probing the spin states of the corresponding charge carrier species via electron paramagnetic resonance (EPR) spectroscopy. All studied material systems are carbon-based compounds, either belonging to the group of polymers, fullerenes, or single-wall carbon nanotubes (SWNTs).
In the first instance, we addressed the change of the open circuit voltage (Voc) with the fullerene blend stoichiometry in fullerene-based solar cells for organic photovoltaics (OPV). The voltage depends strongly on the energy separation between the lowest unoccupied molecular orbital (LUMO) of the donor and the highest occupied molecular orbital (HOMO) of the acceptor. By exploiting the Gaussian distribution of the charge carriers in a two-level system, and thus also their spins in the EPR experiment, it could be shown that the LUMOs get closer by a few to a few hundred meV when going from pure fullerene materials to a fullerene mixture. The reason for this strong energetic effect is likely the formation of a fullerene alloy.
Further, we investigated the chemical doping mechanism of SWNTs with a (6,5)-chirality and their behaviour under optical excitation. In order to determine the unintentional (pre)-doping of SWNTs, EPR spectra of the raw material as well as after different purification steps were recorded. This facilitated the determination of nanotube defects and atmospheric p-doping as the causes of the measured EPR signals. In order to deliberately transfer additional charge carriers to the nanotubes, we added the redox-active substance AuCl3 where we determined an associated doping-yield of (1.5±0.2)%. In addition, a statistical occupation model was developed which can be used to simulate the distribution of EPR active, i.e. unpaired and localised charge carriers on the nanotubes.
Finally, we investigated the charge transfer behaviour of (6,5)-SWNTs together with the polymer P3HT and the fullerene PC60BM after optical excitation.
The honeybee is a well studied and important organism in neuroethology. The possibility to train them with a classical conditioning paradigm and their miniature brain provide a perfect requisite to investigate the neuronal principles of learning and memory. Honeybees use visual and olfactory cues to detect flowers during their foraging trips. Hence, the reward association of a nectar source is a multi-modal construct, which has at least two major components - olfactory and visual cues. It is still an open question, how both sensory components are converged in the mushroom body, which represent the multi-modal integration centre of the honeybee brain. The main goal of this study, is to investigate the processing of multiple modalities and how a reward association is formed. This includes, how and wether both sensory modalities interfere during learning. Thus, in this study stimulation with UV, blue and green light was used to evoke distinct photoreceptor activities in the compound eye. Furthermore, three different odours (Geraniol, Citronellol and Farnesol) were used. These stimuli were tested in three different experimental series. The first experiment involved classical differential conditioning of the single modalities - odour and colour. Honeybees showed high learning performances in differentiating olfactory stimuli and also reliable responses for visual conditioning. Furthermore, a temporal discrepancy in the stimulus length for best learning in the olfatcoty and visual cues was found. In the second series, it was tested how multi-modal compounds are perceived. This includes, unique cues (configural processing) or the sum of the single components of a compound (elemen- tal processing). This was tested by combining single odour components with monochromatic light in a positive (PP) and negative patterning (NP) experiment. During PP, the olfactory- visual compound was rewarded, whereas the single components were unrewarded. In contrast, during NP the single components were reinforced, but the compound was not. In addition, the ability to distinguish between two different light stimuli presented as a part of an olfactory-visual compound with the same odour component during acquisition was tested. In a memory test, the light stimuli were presented again as a compound and in addition as the single components. The results revealed that bees used elemental processing with compounds containing green and blue light. In contrast, when UV light was presented the bees used configural processing. Finally, a third experiment was conducted at the neuronal level. Multi-unit recordings were established to provide a suitable method to analyse extrinsic neurons at the mushroom body output region, the so called ventral lobe of the pedunculus. Here, three different odours (Geran- iol, Farnesol and Citronellol), two colours (green and blue) and two combined stimuli (colour + odour) were chosen as stimuli, to search for possible variations in processing stimuli with different modalities. Two units could be detected that responded mainly to visual stimuli.
S. stercoralis is a helminthic parasite which is common in tropical and subtropical regions. It causes a persistent but often inapparent infection in humans. In the state of a protracted immunosuppression this parasite can cause a life-threatening hyperinfection syndrome. Most often the hyperinfection syndrome was found after prolonged high dose corticosteroid treatment. In HIV-infected individuals high dose corticosteroids are used for the treatment of the immune reconstitution inflammatory syndrome (IRIS) or as adjunct treatment in the treatment of meningeal or pericardial tuberculosis. Case reports from Tanzania demonstrate that Strongyloidiasis is prevalent not only in coastal regions but also in the Lake province of Tanzania. However, data on the local prevalence of S. stercoralis infection based on sensitive techniques are scanty, especially in HIV-infected individuals.
The main objective of this study is to provide data on the prevalence of S. stercoralis infections in the adult HIV-infected population attending the Bugando Medical Centre for medical care. Specific objectives of the study are the comparison of the sensitivities and specificities of five different methods in detecting S. stercoralis. Four methods to detect S. stercoralis larvae used stool samples; one method to detect S. stercoralis antibodies required blood samples. The study used the Agar-plate-culture-technique and a modified Harada-Mori-culture-technique for the direct detection of helminthic larvae in the collected faecal samples. In addition, a recently described PCR-assay from faecal specimens and an ELISA for S. stercoralis antibodies have been applied. The Faecal Parasite Concentrator (FPC) stool concentration technique was used for the differential diagnosis of other intestinal helminthic parasites. The results of the study may influence the current treatment guidelines for HIV-infected patients in case that a relevant prevalence of S. stercoralis infection is found. Then, prior to a prolonged iatrogenic immunosuppression -like the high dose corticosteroid treatment for IRIS- a prophylactic anthelminthic treatment capable to eradicate a S. stercoralis infection could be recommendable. The prevalence of a current S. stercoralis infection using the PCR as a gold standard was 5.4%. The Agar plate method showed positive results in 19 out of 278 cases (6.1%), the modified Harada Mori technique in 13 of 278 (4.7%) cases. With PCR as gold standard the sensitivity of the agar plate method was 60%, the positive predictive value 47.4%, the specificity 96.2% and the negative predictive value 97.7 %. The sensitivity of the Harada Mori technique was 36.4%, the positive predictive value 30.7% with a specificity of 96.4% and negative predictive value 97.1%. The modified Harada Mori technique allowed in principal the morphological identification of nematode larvae. Microscopic analysis showed a specificity of 100% and a sensitivity of 46.7%. Antibodies were detected in 45 of 278 cases 16.2% by ELISA, with a sensitivity of 92.9% and a specificity of 87.8%. The findings of this study show that none of the diagnostic tests can be implemented as a routine diagnostic procedure to diagnose a current infection. This leads to the conclusion that it is high time to consider the provision of a prophylactic treatment within patients who are either HIV positive patients who could develop an IRIS after receiving ART, patients with a HTLV-1 infection and the growing number of patients under iatrogenic immunosuppression for various reasons.
Potential evolutionary responses to landscape heterogeneity and systematic environmental trends
(2020)
Over the course of the last century, humans have witnessed drastic levels of global environmental change that endangered both, the survival of single species as well as biodiversity itself. This includes climate change, in both environmental means and in variance and subsequently frequent extreme weather events, as well as land use change that species have to cope with.
With increasing urbanization, increasing agricultural area and increasing intensification, natural habitat is not only lost, but also changes its shape and distribution in the landscape. Both aspects can heavily influence an individual's fitness and therefore act as a selective force promoting evolutionary change.
This way climate change influences individuals' niches and dispersal. Local adaptation and dispersal are not independent of each other. Dispersal can have two opposite effects on local adaptation. It can oppose local adaptation, by promoting the immigration of maladapted indi-
viduals or favor local adaptation by introducing better adapted genotypes. Which of those effects of dispersal on local adaptation emerges in a population depends on the dispersal strategies and the spatial structure of the landscape. In principle an adaptive response can include adjustment of the niche optimum as well as habitat tolerance (niche width) or (instead) ecological tracking of adequate conditions by dispersal and range shifting. So
far, there has been no extensive modeling study of the evolution of the environmental niche optimum and tolerance along with dispersal probability in complex landscapes. Either only dispersal or (part of ) the environmental niche can evolve or the landscapes used are not realistic but rather a very abstract representation of spatial structures.
I want to try and disentangle those different effects of both local adaptation and dispersal during global change, as well as their interaction, especially considering the separation between the effects of increasing mean and increasing variance. For this, I implemented an individual based model (IBM), with escalating complexity.
I showed that both on a temporal as well as on a spatial scale, variation can be more influential then mean conditions.
Indeed, the actual spatial configuration of this heterogeneity and the relationship between spatial and temporal heterogeneity affect the evolution of the niche and of dispersal probability more than temporal or spatial mean conditions. I could show that in isolated populations, an increase of an environmental attribute's mean or variance can lead to extinction, under certain conditions. In particular, increasing variance cannot be tracked forever, since increasing tolerance has distinct limits of feasibility. Increasing mean conditions can also occur too fast to be tracked, especially from generalist individuals. When expanding the model to the metapopulation level without a temporal environmental trend, the degree of spatial vs.temporal heterogeneity influenced the evolution of random dispersal heavily. With increasing spatial heterogeneity, individuals from extreme and rare patches
evolve from being philopatric to dispersive, while individuals from average patches switch in the opposite direction.
With the last expansion to a different set of landscapes with varying degrees of edge density, I could show that edge effects are strong in pseudo-agricultural landscapes, while
in pseudo-natural habitats they were hardly found, regardless of emigration strategy. Sharp edges select against dispersal in the edge patches and could potentially further isolate populations in agricultural landscapes.
The work I present here can also be expanded further and I present several suggestions on what to do next. These expansions could help the realism of the model and eventually shed light on its bearing on ecological global change predictions. For example species distribution models or extinction risk models would be more precise, if they included both spatial and temporal variation. The current modeling practices might not be suffcient to
describe the possible outcomes of global change, because spatio-temporal heterogeneity and its influence on species' niches is too important to be ignored for longer.
Cellular therapies using chimeric antigen receptor (CAR) modified T cells to eradicate tumor cells have been a major breakthrough in the treatment of hematologic malignancies. However, there are no measures to control CAR T cell activity after infusion, which is mostly required in cases of CAR T cell overreaction, e.g. cytokine release syndrome, or in the case of T cell failure, e.g. caused by exhaustion.
In our study, we identified the tyrosine kinase inhibitor (TKI) dasatinib (© Sprycel) as a suitable agent to steer CAR T cells in vitro and in vivo. We show that single treatment of CD4+ and CD8+ CAR T cells with dasatinib conferred either partial or complete inhibition, depending on the applied concentration. The blockade was immediate and encompassed spe-cific lysis, cytokine secretion and proliferation following antigen encounter. The mechanism relied on reduced phosphorylation of key kinases in the CAR signaling cascade, which led to abrogation of nuclear factor of activated T-cells (NFAT) signaling. Importantly, inhibition was fully reversible by dasatinib withdrawal. In vivo, dasatinib blocked CAR T cell function without impairing the engraftment of CAR T cells or their subsequent anti tumor function once dasatinib administration was discontinued. We therefore introduce dasatinib as a new tool to efficiently block CAR T cells in vitro and in vivo, with data suggesting that dasatinib can be used in a clinical setting to mitigate toxicity after adaptive transfer of CAR modified T cells and other forms of T cell based immunotherapy.
Additionally we show that intermittent inhibition of CAR T cells by dasatinib im-proves the efficacy of CAR T cell therapy. By pausing T cells for short periods of time in vi-vo, upregulation of programmed death protein 1 (PD-1) and subsequent induction of exhaus-tion was prevented, which increased the expansion of T cells and the rate of tumor eradica-tion. Our data therefore suggest that dasatinib can additionally be used to overcome T cell exhaustion that is induced by massive tumor burden and upregulation of inhibitory receptors.
The effect of late parenthood on the offspring´s physical and mental health status has recently become an increasingly important topic of discussion. Studies on neurodevelopmental disorders in children of older parents (Naserbakht et al., 2011) outline the negative consequences of aging fathers as unpredictable compared to the better-understood unfavorable maternal influences (Cedars et al. 2015). This may be due to the fact that lifelong production of male gametes becomes more susceptible to error, not only for somatic mutations. Non-genomic mechanisms such as epigenetic methylation also alter DNA dynamically throughout life (Jones et al., 2015) and influence the aging human sperm DNA (Jenkins et al., 2014). These methylation changes may be transmitted to the next generation via epigenetic inheritance mechanisms (Milekic et al., 2015), which may negatively impact the sensitive epigenetic regulation of cell differentiation in the embryonic period (Curley et al., 2011; Spiers et al., 2015). Accordingly, Nardone et al. (2014) reported several hypomethylated regions in autistic patients, illustrating potential epigenetic influences on the multifactorial pathogenesis of neuropsychiatric disorders. In the present study, the methylation status of five gene regions in the sperm DNA of males of different ages was analyzed by two techniques - pyrosequencing and deep bisulfite sequencing. Two gene regions, FOXK1 and DMPK, showed a highly significant age-related methylation loss and FOXK1 a reduced methylation variation at the level of single alleles. In addition, the examined gene region of FOXK1 showed significant methylation changes in the fetal cord blood DNA of the respective offspring of the sperm donor. This fact suggests a transfer of age-related methylation loss to the next generation. Interestingly, a methylation analysis at the level of single alleles showed that the methylation loss was inherited exclusively by the father. FOXK1 is a transcription factor that plays an important role in the epigenetic regulation of the cell cycle during embryonic neuronal development (Huang et al., 2004; Wijchers et al., 2006). For this reason, the methylation status of FOXK1 in the blood of autistic patients and an age- and sex-matched control group was investigated. While both groups showed age-associated FOXK1 methylation loss, a faster dynamics of methylation change was observed in the autistic group. Although further studies are needed to uncover inheritance mechanisms of epigenetic information, the present results show an evident influence of age-related methylation changes on offspring. When advising future fathers, it is important to consider how the paternal epigenome is altered by aging and can have a negative impact on the developing embryo.
Parkinson’s disease (PD) is among the most common neurodegenerative conditions, and it is characterized by the progressive loss of dopaminergic neurons and a great variability in clinical expression. Despite several effective medications, it still causes disability as all patients show treatment-resistant symptoms and complications.
A possible reason for this therapeutic-burden and great clinical variability lies in a probable misconception about its pathophysiology, one that focuses on neurodegeneration, while largely neglecting its functional consequences and the related compensatory changes. In this thesis, I expand on the hypothesis that some PD symptoms have a dysfunctional origin and reflect derangements of neural network dynamics, the means by which brain coordination supports any motor behaviour. In particular, I have investigated resting tremor and freezing of gait, two common symptoms with an enigmatic mechanism and suboptimal management.
In the case of tremor, I predicted a pathological change in response to dopamine loss, which included the activation of noradrenergic (NA) neurons of the locus coeruleus (LC) projecting to the cerebellum. This compensatory LC activation that supports dopaminergic neurons might indeed come at the expense of tremor development. To assess the role of LC-NA in tremor development, I recorded tremor occurrence in the reserpinized rat model of PD, one of very few showing tremor, after selective lesioning (with the neurotoxin DSP-4) of the LC-NA terminal axons. DSP-4 induced a severe reduction of LC-NA terminal axons in the cerebellar cortex and this was associated with a significant reduction in tremor development. Unlike its development, tremor frequency and the akinetic rigid signs did not differ between the groups, thus suggesting a dopaminergic dependency. These findings suggest that the LC-NA innervation of the cerebellum has a critical role for PD tremor, possibly by exerting a network effect, which gates the cerebello-thalamic-cortical circuit into pathological oscillations upon a dopaminergic loss in the basal ganglia.
In contrast, for the study of freezing of gait, I worked with human PD subjects and deep brain stimulation, a therapeutic neuromodulation device that in some prototypes also allows the recording of neural activity in freely-moving subjects. Gait freezing is a disabling PD symptom that suddenly impairs effective stepping, thus causing falls and disability. Also in this study, I hypothesized that the underlying pathophysiology may be represented by dysfunctional neural network dynamics that abruptly impair locomotor control by affecting the communication in the supraspinal locomotor network. To test this hypothesis, I investigated the coupling between the cortex and the subthalamic nucleus, two main nodes of the supraspinal locomotor network, in freely-moving subjects PD patients and also performed molecular brain imaging of striatal dopamine receptor density and kinematic measurements. I found that in PD patients, walking is associated with cortical-subthalamic stable coupling in a low-frequency band (i.e. θ-α rhythms). In contrast, these structures decoupled when gait freezing occurred in the brain hemisphere with less dopaminergic innervation. These findings suggest that freezing of gait is a “circuitopathy”, with dysfunctional cortical-subcortical communication.
Altogether the results of my experiments support the hypothesis that the pathophysiology of PD goes beyond neurodegenerative (loss-of-function) processes and that derangement of neural network dynamics coincides with some disabling PD symptoms, thus suggesting that PD can be interpreted as the combination of multiple circuitopathies.
In this dissertation, we develop and analyze novel optimizing feedback laws for control-affine systems with real-valued state-dependent output (or objective) functions. Given a control-affine system, our goal is to derive an output-feedback law that asymptotically stabilizes the closed-loop system around states at which the output function attains a minimum value. The control strategy has to be designed in such a way that an implementation only requires real-time measurements of the output value. Additional information, like the current system state or the gradient vector of the output function, is not assumed to be known. A method that meets all these criteria is called an extremum seeking control law. We follow a recently established approach to extremum seeking control, which is based on approximations of Lie brackets. For this purpose, the measured output is modulated by suitable highly oscillatory signals and is then fed back into the system. Averaging techniques for control-affine systems with highly oscillatory inputs reveal that the closed-loop system is driven, at least approximately, into the directions of certain Lie brackets. A suitable design of the control law ensures that these Lie brackets point into descent directions of the output function. Under suitable assumptions, this method leads to the effect that minima of the output function are practically uniformly asymptotically stable for the closed-loop system. The present document extends and improves this approach in various ways.
One of the novelties is a control strategy that does not only lead to practical asymptotic stability, but in fact to asymptotic and even exponential stability. In this context, we focus on the application of distance-based formation control in autonomous multi-agent system in which only distance measurements are available. This means that the target formations as well as the sensed variables are determined by distances. We propose a fully distributed control law, which only involves distance measurements for each individual agent to stabilize a desired formation shape, while a storage of measured data is not required. The approach is applicable to point agents in the Euclidean space of arbitrary (but finite) dimension. Under the assumption of infinitesimal rigidity of the target formations, we show that the proposed control law induces local uniform asymptotic (and even exponential) stability. A similar statement is also derived for nonholonomic unicycle agents with all-to-all communication. We also show how the findings can be used to solve extremum seeking control problems.
Another contribution is an extremum seeking control law with an adaptive dither signal. We present an output-feedback law that steers a fully actuated control-affine system with general drift vector field to a minimum of the output function. A key novelty of the approach is an adaptive choice of the frequency parameter. In this way, the task of determining a sufficiently large frequency parameter becomes obsolete. The adaptive choice of the frequency parameter also prevents finite escape times in the presence of a drift. The proposed control law does not only lead to convergence into a neighborhood of a minimum, but leads to exact convergence. For the case of an output function with a global minimum and no other critical point, we prove global convergence.
Finally, we present an extremum seeking control law for a class of nonholonomic systems. A detailed averaging analysis reveals that the closed-loop system is driven approximately into descent directions of the output function along Lie brackets of the control vector fields. Those descent directions also originate from an approximation of suitably chosen Lie brackets. This requires a two-fold approximation of Lie brackets on different time scales. The proposed method can lead to practical asymptotic stability even if the control vector fields do not span the entire tangent space. It suffices instead that the tangent space is spanned by the elements in the Lie algebra generated by the control vector fields. This novel feature extends extremum seeking by Lie bracket approximations from the class of fully actuated systems to a larger class of nonholonomic systems.
Despite the large number of G protein-coupled receptors (GPCRs) expressed in the central nervous system (CNS), little is known about their location, organization, and dynamics in functional nanodomains at synapses. Class C GPCRs including metabotropic glutamate receptors (mGluRs) and the γ-aminobutyric acid subtype B receptor (GABABR) mediate several key functions in synaptic transmission. However, it is still insufficiently understood how these receptors function at synapses to modulate neurotransmission. One limitation is the availability of techniques to examine receptors with high spatiotemporal resolution in physiologically relevant cells. To investigate the distribution and spatiotemporal dynamics of mGluR4 and GABABR in cerebellar slices and cultured hippocampal neurons, I used advanced imaging techniques, including single-molecule imaging and superresolution microscopy with high spatial (10-20 nm) and temporal (20 ms) resolution.
The presynaptic active zone (AZ) is a highly organized structure that specializes in neurotransmitter release. mGluR4 is a prototypical presynaptic class C GPCR. mGluR4 mediates an inhibitory effect on presynaptic glutamate release mainly via the inhibition of P/Q type voltage dependent calcium channels (CaV2.1). In this study, I analyzed the organization of mGluR4 at the synapse between parallel fibers and Purkinje cells in the mouse cerebellum with near-molecular resolution using two-color direct stochastic optical reconstruction microscopy (dSTORM). Quantitative analyses revealed a four-fold mGluR4 enrichment at parallel fiber AZs. I found that an AZ contains 29 mGluR4 nanoclusters on average. Each nanocluster contains one or two mGluR4s, with few nanoclusters containing three or more receptors. To assess the spatial distribution of mGluR4 relative to functional active zone elements such as CaV2.1 and Munc 18-1 (an essential component of the synaptic secretory machinery), a distance-based colocalization analysis was used. The analysis revealed positive correlation between mGluR4 and both proteins at a distance of 40 nm. Interestingly, mGluR4 showed a higher positive correlation to Munc 18-1 in comparison to CaV2.1. These results suggest that mGluR4 might directly inhibit the exocytotic machinery to reduce glutamate release from the synaptic vesicles in addition to its role in the inhibition of presynaptic calcium influx. The revealed high degree of mGluR4 organization may provide a new ultrastructural basis to explain the depressive effect of mGluR4 on the neurotransmission.
Moreover, I directly imaged GABABR dynamic behavior with high spatiotemporal resolution in living hippocampal neurons utilizing single-molecule total internal reflection fluorescence microscopy (TIRFM). To this purpose, the GABAB1 subunit was engineered with an N-terminal SNAP-tag to enable specific labeling with bright organic fluorophores. On the plasma membrane surface, immobile and mobile GABABRs were detected at both synaptic and extrasynaptic compartments. A mean square displacement analysis (MSD) revealed characteristic dynamic patterns of GABABR depending on receptor location inside or outside of the synapses. The majority of receptors belonging to the extrasynaptic pool displayed rapid and free diffusion. In contrast, approximately 80% of receptors residing at the synaptic compartments were immobile or confined within limited regions. Receptors located at pre- and post-synaptic sites showed a similar behavior. GABABR lateral diffusion patterns inside and outside synapses might be important for the regulation of efficacy of synaptic inhibition.
Altogether, this study puts forward previously unknown GPCR nanoscopic details in functional nanodomains. GPCR spatial organization might be important for the efficiency, fidelity, and rapid signaling required for synaptic transmission.
In recent years, great progress has been made in the area of Artificial Intelligence (AI) due to the possibilities of Deep Learning which steadily yielded new state-of-the-art results especially in many image recognition tasks.
Currently, in some areas, human performance is achieved or already exceeded.
This great development already had an impact on the area of Optical Music Recognition (OMR) as several novel methods relying on Deep Learning succeeded in specific tasks.
Musicologists are interested in large-scale musical analysis and in publishing digital transcriptions in a collection enabling to develop tools for searching and data retrieving.
The application of OMR promises to simplify and thus speed-up the transcription process by either providing fully-automatic or semi-automatic approaches.
This thesis focuses on the automatic transcription of Medieval music with a focus on square notation which poses a challenging task due to complex layouts, highly varying handwritten notations, and degradation.
However, since handwritten music notations are quite complex to read, even for an experienced musicologist, it is to be expected that even with new techniques of OMR manual corrections are required to obtain the transcriptions.
This thesis presents several new approaches and open source software solutions for layout analysis and Automatic Text Recognition (ATR) for early documents and for OMR of Medieval manuscripts providing state-of-the-art technology.
Fully Convolutional Networks (FCN) are applied for the segmentation of historical manuscripts and early printed books, to detect staff lines, and to recognize neume notations.
The ATR engine Calamari is presented which allows for ATR of early prints and also the recognition of lyrics.
Configurable CNN/LSTM-network architectures which are trained with the segmentation-free CTC-loss are applied to the sequential recognition of text but also monophonic music.
Finally, a syllable-to-neume assignment algorithm is presented which represents the final step to obtain a complete transcription of the music.
The evaluations show that the performances of any algorithm is highly depending on the material at hand and the number of training instances.
The presented staff line detection correctly identifies staff lines and staves with an $F_1$-score of above $99.5\%$.
The symbol recognition yields a diplomatic Symbol Accuracy Rate (dSAR) of above $90\%$ by counting the number of correct predictions in the symbols sequence normalized by its length.
The ATR of lyrics achieved a Character Error Rate (CAR) (equivalently the number of correct predictions normalized by the sentence length) of above $93\%$ trained on 771 lyric lines of Medieval manuscripts and of 99.89\% when training on around 3.5 million lines of contemporary printed fonts.
The assignment of syllables and their corresponding neumes reached $F_1$-scores of up to $99.2\%$.
A direct comparison to previously published performances is difficult due to different materials and metrics.
However, estimations show that the reported values of this thesis exceed the state-of-the-art in the area of square notation.
A further goal of this thesis is to enable musicologists without technical background to apply the developed algorithms in a complete workflow by providing a user-friendly and comfortable Graphical User Interface (GUI) encapsulating the technical details.
For this purpose, this thesis presents the web-application OMMR4all.
Its fully-functional workflow includes the proposed state-of-the-art machine-learning algorithms and optionally allows for a manual intervention at any stage to correct the output preventing error propagation.
To simplify the manual (post-) correction, OMMR4all provides an overlay-editor that superimposes the annotations with a scan of the original manuscripts so that errors can easily be spotted.
The workflow is designed to be iteratively improvable by training better models as soon as new Ground Truth (GT) is available.
Modern agriculture is the basis of human existence, a blessing, but also a curse. It provides nourishment and well-being to the ever-growing human population, yet destroys biodiversity-mediated processes that underpin productivity: ecosystem services such as water filtration, pollination and biological pest control. Ecological intensification is a promising alternative to conventional farming, and aims to sustain yield and ecosystem health by actively managing biodiversity and essential ecosystem services. Here, I investigate opportunities and obstacles for ecological intensification. My research focuses on 1) the relative importance of soil, management and landscape variables for biodiversity and wheat yield (Chapter II); 2) the influence of multi-scale landscape-level crop diversity on biological pest control in wheat (Chapter III) and 3) on overall and functional bird diversity (Chapter IV). I conclude 4) by introducing a guide that helps scientists to increase research impact by acknowledging the role of stakeholder engagement for the successful implementation of ecological intensification (Chapter V).
Ecological intensification relies on the identification of natural pathways that are able to sustain current yields. Here, we crossed an observational field study of arthropod pests and natural enemies in 28 real-life wheat systems with an orthogonal on-field insecticide-fertilizer experiment. Using path analysis, we quantified the effect of 34 factors (soil characteristics, recent and historic crop management, landscape heterogeneity) that directly or indirectly (via predator-prey interactions) contribute to winter wheat yield. Reduced soil preparation and high crop rotation diversity enhanced crop productivity independent of external agrochemical inputs. Concurrently, biological control by arthropod natural enemies could be restored by decreasing average field sizes on the landscape scale, extending crop rotations and reducing soil disturbance. Furthermore, reductions in agrochemical inputs decreased pest abundances, thereby facilitating yield quality.
Landscape-level crop diversity is a promising tool for ecological intensification. However, biodiversity enhancement via diversification measures does not always translate into agricultural benefits due to antagonistic species interactions (intraguild predation). Additionally, positive effects of crop diversity on biological control may be masked by inappropriate study scales or correlations with other landscape variables (e.g. seminatural habitat). Therefore, the multiscale and context-dependent impact of crop diversity on biodiversity and ecosystem services is ambiguous. In 18 winter wheat fields along a crop diversity gradient, insect- and bird-mediated pest control was assessed using a natural enemy exclusion experiment with cereal grain aphids. Although birds did not influence the strength of insect-mediated pest control, crop diversity (rather than seminatural habitat cover) enhanced aphid regulation by up to 33%, particularly on small spatial scales. Crop diversification, an important Greening measure in the European Common Agricultural Policy, can improve biological control, and could lower dependence on insecticides, if the functional identity of crops is taken into account. Simple measures such as ‘effective number of crop types’ help in science communication.
Although avian pest control did not respond to landscape-level crop diversity, birds may still benefit from increased crop resources in the landscape, depending on their functional grouping (feeding guild, conservation status, habitat preference, nesting behaviour). Observational studies of bird functional diversity on 14 wheat study fields showed that non-crop landscape heterogeneity rather than crop diversity played a key role in determining the richness of all birds. Insect-feeding, non-farmland and non-threatened birds increased across multiple spatial scales (up to 3000 m). Only crop-nesting farmland birds declined in heterogeneous landscapes. Thus, crop diversification may be less suitable for conserving avian diversity, but abundant species benefit from overall habitat heterogeneity. Specialist farmland birds may require more targeted management approaches.
Identifying ecological pathways that favour biodiversity and ecosystem services provides opportunities for ecological intensification that increase the likelihood of balancing conservation and productivity goals. However, change towards a more sustainable agriculture will be slow to come if research findings are not implemented on a global scale. During dissemination activities within the EU project Liberation, I gathered information on the advantages and shortcomings of ecological intensification and its implementation. Here, I introduce a guide (‘TREE’) aimed at scientists that want to increase the impact of their research. TREE emphasizes the need to engage with stakeholders throughout the planning and research process, and actively seek and promote science dissemination and knowledge implementation. This idea requires scientists to leave their comfort zone and consider socioeconomic, practical and legal aspects often ignored in classical research.
Ecological intensification is a valuable instrument for sustainable agriculture. Here, I identified new pathways that facilitate ecological intensification. Soil quality, disturbance levels and spatial or temporal crop diversification showed strong positive correlations with natural enemies, biological pest control and yield, thereby lowering the dependence on agrochemical inputs. Differences between functional groups caused opposing, scale-specific responses to landscape variables. Opposed to our predictions, birds did not disturb insect-mediated pest control in our study system, nor did avian richness relate to landscape-level crop diversity. However, dominant functional bird groups increased with non-crop landscape heterogeneity. These findings highlight the value of combining different on-field and landscape approaches to ecological intensification. Concurrently, the success of ecological intensification can be increased by involving stakeholders throughout the research process. This increases the quality of science and reduces the chance of experiencing unscalable obstacles to implementation.
Adding interactions to topological (non-)trivial free fermion systems can in general have four different effects: (i) In symmetry protected topological band insulators, the correlations may lead to the spontaneous breaking of some protecting symmetries by long-range order that gaps the topological boundary modes. (ii) In free fermion (semi-)metal, the interaction could vice versa also generate long-range order that in turn induces a topological mass term and thus generates non-trivial phases dynamically. (iii) Correlation might reduce the topological classification of free fermion systems by allowing adiabatic deformations between states of formerly distinct phases. (iv) Interaction can generate long-range entangled topological order in states such as quantum spin liquids or fractional quantum Hall states that cannot be represented by non-interacting systems. During the course of this thesis, we use numerically exact quantum Monte Carlo algorithms to study various model systems that (potentially) represent one of the four scenarios, respectively.
First, we investigate a two-dimensional $d_{xy}$-wave, spin-singlet superconductor, which is relevant for high-$T_c$ materials such as the cuprates. This model represents nodal topological superconductors and exhibits chiral flat-band edge states that are protected by time-reversal and translational invariance. We introduce the conventional Hubbard interaction along the edge in order to study their stability with respect to correlations and find ferromagnetic order in case of repulsive interaction as well as charge-density-wave order and/or additional $i$s-wave pairing for attractive couplings. A mean-field analysis that, for the first time, is formulated in terms of the Majorana edge modes suggests that any order has normal and superconducting contributions. For example, the ferromagnetic order appears in linear superposition with triplet pairing. This finding is well confirmed by the numerically exact quantum Monte Carlo investigation.
Second, we consider spinless electrons on a two-dimensional Lieb lattice that are subject to nearest-neighbor Coulomb repulsion. The low energy modes of the free fermion part constitute a spin-$1$ Dirac cone that might be gapped by several mass terms. One option breaks time-reversal symmetry and generates a topological Chern insulator, which mainly motivated this study. We employ two flavors of quantum Monte Carlo methods and find instead the formation of charge-density-wave order that breaks particle-hole symmetry. Additionally, due to sublattices of unequal size in Lieb lattices, this induces a finite chemical potential that drives the system away from half-filling. We argue that this mechanism potentially extends the range of solvable models with finite doping by coupling the Lieb lattice to the target system of interest.
Third, we construct a system with four layers of a topological insulators and interlayer correlation that respects one independent time-reversal and a unitary $\mathbb{Z}_2$ symmetry. Previous studies claim a reduced topological classification from $\mathbb{Z}$ to $\mathbb{Z}_4$, for example by gapping out degenerate zero modes in topological defects once the correlation term is designed properly. Our interaction is chosen according to this analysis such that there should exist an adiabatic deformation between states whose topological invariant differs by $\Delta w=\pm4$ in the free fermion classification. We use a projective quantum Monte Carlo algorithm to determine the ground-state phase diagram and find a symmetry breaking regime, in addition to the non-interacting semi-metal, that separates the free fermion insulators. Frustration reduces the size of the long-range ordered region until it is replaced by a first order phase transition. Within the investigated range of parameters, there is no adiabatic path deforming the formerly distinct free fermion states into each other. We conclude that the prescribed reduction rules, which often use the bulk-boundary correspondence, are necessary but not sufficient and require a more careful investigation.
Fourth, we study conduction electron on a honeycomb lattice that form a Dirac semi-metal Kondo coupled to spin-1/2 degrees of freedom on a Kagome lattice. The local moments are described by a variant of the Balents-Fisher-Girvin model that has been shown to host a ferromagnetic phase and a $\mathbb{Z}_2$ spin liquid at strong frustration. Here, we report the first numerical exact quantum Monte Carlo simulation of the Kondo-coupled system that does not exhibit the negative-sign problem. When the local moments form a ferromagnet, the Kondo coupling induces an anti-ferromagnetic mass term in the conduction-electron system. At large frustration, the Dirac cone remains massless and the spin system forms a $\mathbb{Z}_2$ spin liquid. Owing to the odd number of spins per unit cell, this constitutes a non-Fermi liquid that violates Luttinger's theorem which relates the Fermi volume to the particle density in a Fermi liquid. This phase is a specific realization of the so called 'fractional Fermi liquid` as it has been first introduced in the context of heavy fermion models.
The rising use of new media has given rise to public discussions about their possible negative consequences. The social sciences have answered these concerns, providing many studies investigating different media types (e.g., social media, video games) and different related variables (e.g., psychological well-being, academic achievement). Within this big body of research, some research results have confirmed negative associations with frequent media use; other studies have found no or even positive relationships. With heterogeneous results, it is difficult to obtain a clear picture of the relationships and causalities of new media. The method of meta-analysis allows a synthesis of all existing data, providing an overall effect size as well as moderator and mediator analyses which might explain the heterogeneity. Three manuscripts present meta-analytic evidence related to a) the relationship between social media use and academic achievement, b) the relationship between video gaming and overweight, and c) the relationship between social media and psychological correlates. Manuscript #1 found small relationships which depend on the usage pattern of social media. The relationship is positive, as long as social media use is related to school. Manuscript #2 showed that children’s and adolescents’ video gaming is independent from their body mass, while adults who play more have a higher body mass. Manuscript #3 summarized existing meta-analytic evidence that links social media with psychological wellbeing, academic achievement, and narcissism with small to moderate effect sizes. All three manuscripts underscore the potential of meta-analyses to synthesize previous research and to identify moderators. Although meta-analyses are not necessarily superior to other approaches because of their limitations (e.g. limited information or quality of primary studies) they are very promising for media psychology. Meta-analyses can reduce complexity and might be helpful for the communication of research results to the general public.
The subject of this thesis is the growth of Hg\(_{1-x}\)Cd\(_2\)Te layers via molecular beam epitaxy (MBE).
This material system gives rise to a number of extraordinary physical phenomena related to its electronic band structure and therefore is of fundamental interest in research.
The main results can be divided into three main areas, the implementation of a temperature measurement system based on band edge thermometry (BET), improvements of CdTe virtual substrate growth and the investigation of Hg\(_{1-x}\)Cd\(_2\)Te for different compositions.
Magnetic Resonance Imaging at field strengths up to 3 T, has become a default diagnostic modality for a variety of disorders and injuries, due to multiple reasons ranging from its non-invasive nature to the possibility of obtaining high resolution images of internal organs and soft tissues. Despite tremendous advances, MR imaging of certain anatomical regions and applications present specific challenges to be overcome. One such application is MR Musculo-Skeletal Imaging. This work addresses a few difficult areas within MSK imaging from the hardware perspective, with coil solutions for dynamic imaging of knee and high field imaging of hand.
Starting with a brief introduction to MR physics, different types of RF coils are introduced in chapter 1, followed by sections on design of birdcage coils, phased arrays and their characterization in chapter 2. Measurements, calculations and simulations, done during the course of this work, have been added to this chapter to give a quantitative feel of the concepts explained.
Chapter 3 deals with the construction of a phased array receiver for dynamic imaging of knee of a large animal model, i.e. minipig, at 1.5 T. Starting with details on the various aspects of an application that need to be considered when an MR RF array is designed, the chapter details the complex geometry of the region of interest in a minipig and reasons that necessitate a high density array. The sizes of the individual elements that constitute the array have been arrived at by studying the ratio of unloaded to loaded Q factors and choosing a size that provides the best ratio but still maintains a uniform SNR throughout the movement of the knee. To have a minimum weight and to allow mechanical movement of the knee, the Preamplifiers were located in a separate box. A movement device was constructed to achieve adjustable periodic movement of the knee of the anesthetized animal. The constructed array has been characterized for its SNR and compared with an existing product coil to show the improvement. The movement device was also characterized for its reproducibility. High resolution static images with anatomical details marked have been presented. The 1/g maps show the accelerations possible with the array. Snapshots of obtained dynamic images trace the cruciate ligaments through a cycle of movement of the animal's knee.
The hardware combination of a high density phased array and a movement device designed for a minipig's knee was used as a 'reference' and extended in chapter 4 for a human knee. In principle the challenges are similar for dynamic imaging of a human knee with regards to optimization of the elements, the associated electronics and the construction of the movement device. The size of the elements were optimized considering the field penetration / sensitivity required for the internal tissues. They were distributed around the curvature of the knee keeping in mind the acceleration required for dynamic imaging and the direction of the movement. The constructed movement device allows a periodic motion of the lower half of the leg, with the knee placed within the coil, enabling visualization of the tissues inside, while the leg is in motion. Imaging has been performed using dynamic interleaved acquisition sequence where higher effective TR and flip angles are achieved due to a combination of interleaving and segmentation of the sequence. The movement device has been characterized for its reproducibility while the SNR distribution of the constructed RF array has been compared with that of a commercially available standard 8 channel array. The results show the improvement in SNR and acceleration with the constructed geometry. High resolution static images, dynamic snapshots and the 3D segmentation of the obtained images prove the usefulness of the complete package provided in the design, for performing dynamic imaging at a clinically relevant field strength.
A simple study is performed in chapter 5 to understand the effects of changes in overlap for coil configurations with different loads and at different frequencies. The noise levels of individual channels and the correlation between them are plotted against subtle changes in overlap, at 64 and 123 MHz. SNR for every overlap setup is also measured and plotted. Results show that achieving critical overlap is crucial to obtain the best possible SNR in those coil setups where the load offered by the sample is low.
Chapter 6 of the thesis work deals with coil design for high field imaging of hand and wrists at 7 T, with an aim to achieve ultra high resolution imaging. At this field strength due to the increase in dielectric effects and the resulting decrease in homogeneity, whole body transmit coils are impractical and this has led engineers to design local transmit coils, for specific anatomies. While transmit or transceive arrays are usually preferred, to mitigate SAR effects, the spatial resolution obtained is limited. It is shown that a solution to this, with regards to hand imaging, can be a single volume transmit coil, along with high density receive arrays optimized for different regions of the hand. The use of a phased array for reception provides an increased SNR / penetration under high resolution. A volume transmit coil could pose issues in homogeneity at 7 T, but the specific anatomy of hand and wrist, with comparatively less water content, limits dielectric effects to have homogeneous B_1+ profile over the hand. To this effect, a bandpass birdcage and a 12 channel receive array are designed and characterized. Images of very high spatial resolution (0.16 x 0.16 x 0.16 mm3) with internal tissues marked are presented. In vivo 1/g maps show that an acceleration of up to 3 is possible and the EM simulation results presented show the uniform field along with SAR hotspots in the hand. To reduce the stress created due to the 'superman' position of imaging, provisions in the form of a holder and a hand rest have been designed and presented. Factors that contributed to the stability of the presented design are also listed, which would help future designs of receive arrays at high field strengths.
In conclusion, the coils and related hardware presented in this thesis address the following two aspects of MSK imaging: Dynamic imaging of knee and High resolution imaging of hand / wrist. The presented hardware addresses specific challenges and provides solutions. It is hoped that these designs are steps in the direction of improving the existing coils to get a better knowledge and understanding of MSK diseases such as Rheumatoid Arthritis and Osteoarthritis. The hardware can aid our study of ligament reconstruction and development. The high density array and transmit coil design for hand / wrist also demonstrates the benefits of the obtained SNR at 7 T while maintaining SAR within limits. This design is a contribution towards optimizing hardware at high field strength, to make it clinically acceptable and approved by regulatory bodies.
The thesis is mainly about the reactivities of borylene complexes. Including the investigation of the reaction of base stabilized terminal borylene with elemental chalcogens. On the other hand the are also the reactivity of borylene with bipyridine species is also studies. A C-H activation of the Cp2WH2 using borylene is also discovered. Finally the reaction of a borylene with Lewis acids such as GaCl3 and InBr3 is also studied.
This thesis reports on the applications of a particular N-heterocyclic silylene, Dipp2NHSi (1), as an ambiphilic reagent in main group chemistry and as a ligand in transition metal chemistry. One focus of the work lies in the evaluation of the differences in the reactivity of N-heterocyclic silylenes in main group element and transition metal chemistry in comparison with the in these areas nowadays ubiquitous N-heterocyclic carbenes. The first chapter gives an insight into the reactivity of Dipp2NHSi with respect to different types of main group element compounds. Silylene 1 was reacted with group 13 compounds. Adduct formation was observed with AlI3, Al(C6F5)3 and B(C6F5)3 which led to isolation of Dipp2NHSi·AlI3 (2), Dipp2NHSi·Al(C6F5)3 (3) and Dipp2NHSi·B(C6F5)3 (4). Furthermore, the reactivity of Dipp2NHSi (1) with respect to different elementhalide bonds was investigated. The reaction with elemental bromine and iodine leads to the dihalosilanes Dipp2NHSiBr2 (5) and Dipp2NHSiI2 (6). Utilizing methyl iodide, benzyl chloride and benzyl bromide, the insertion products Dipp2NHSi(I)(Me) (10), Dipp2NHSi(Cl)(benzyl) (11) and Dipp2NHSi(Br)(benzyl) (12) are obtained. Thus, insertion is preferred to reductive coupling with formation of RH2C–CH2R (R = H, Ph) and the corresponding dihalosilane. The reaction of 1 with Me3SnCl leads to the diazabutene {(Me3Sn)N(Dipp)CH}2 (9). The reaction of 1 with Ph2SnCl2 gives exclusively Dipp2NHSiCl2 (8) and cyclic polystannanes (Ph2Sn)n. The reactivity of 1 towards selected 1,3-dipolar compounds was also examined and Dipp2NHSi was reacted with azides of different size. The reaction with adamantyl azide led to the formation of the tetrazoline 13. For the reaction with the sterically less demanding trimethylsilyl azide the azido silane Dipp2NHSi(N(SiMe3)2)(N3) (14) and the degradation product 14* was isolated. The cyclosilamine 15 was formed from the reaction of 1 with 2,6-(diphenyl)phenyl azide. The bonding situation and ligation properties of Dipp2NHSi in transition metal complexes was assessed in the second part of the thesis by means of theoretical calculations and experimental investigations. Calculations on the main electronic features of Me2Im/Me2NHSi and Dipp2NHSi/Dipp2Im revealed significant differences in the frontier orbital region of these compounds, which affect the ligation properties of NHSis in general. It was demonstrated that NHSis show significantly different behaviour concerning their coordination chemistry. In particular, one energetically low lying π-acceptor orbital seems to determine the coordination chemistry of these ligands. To provide experimental support for these calculations, the silylene complexes [M(CO)5(Dipp2NHSi)] (M = Cr 16, Mo 17, W 18) were synthesized from Dipp2NHSi and [M(CO)6] (M = Cr, Mo, W) and the tungsten NHSi complex 18 was compared to the NHC complexes [W(CO)5(iPr2Im)] (19), [W(CO)5(iPr2ImMe)] (20) and [W(CO)5(Me2ImMe)] (21). The bonding of Me2Im and Me2NHSi (= L) to transition metal complexes has been assessed with DFT calculations for the model systems [Ni(L)], [Ni(CO)3(L)], and [W(CO)5(L)]. These studies revealed some common features in the difference between M–NHSi and M–NHC bonding which largely affect the bonding situation in transition metal complexes. NHSis show a propensity for bridging two metal atoms which was demonstrated on three different examples. Dipp2NHSi reacts with [Ni(CO)4] to form the dinuclear silylene-bridged complex [{Ni(CO)2(μ-Dipp2NHSi)}2] (22) upon CO elimination. The reduction of [Ni(η5-C5H5)2] with lithium naphthalenide in the presence of Dipp2NHSi yielded the NHSi-bridged Ni(I) dimer [{(η5 C5H5)Ni(µ-Dipp2NHSi)}2] (23). The dimeric half-sandwich complex [{(η5-C5H5)Fe(CO)2}2] led upon reaction with Dipp2NHSi to the formation of the dinuclear, NHSi-bridged complex [{(η5-C5H5)Fe(CO)}2(µ-CO)(µ-Dipp2NHSi)] (24). The insertion of Dipp2NHSi into metal halide bonds was investigated in a series of manganese complexes [Mn(CO)5(X)] (X = Cl, Br, I). The reaction of Dipp2NHSi with [Mn(CO)5(I)] led to substitution of two carbonyl ligands with Dipp2NHSi (1) to afford the tricarbonyl complex [Mn(CO)3(Dipp2NHSi)2(I)] (25). In 25, the iodide ligand is aligned in the {Mn(CO)3} plane, located between both NHSi silicon atoms. Treatment of [Mn(CO)5(Br)] with two equivalents of Dipp2NHSi afforded the complex [Mn(CO)3(Dipp2NHSi)2(Br)] (26), in which the bromide ligand is distorted towards one of the NHSi ligands. The reaction of the silylene ligand with [Mn(CO)5(Cl)] at room temperature afforded a mixture of two products, [Mn(CO)3(Dipp2NHSi)2(Cl)] (27*) and the insertion product [Mn(CO)4(Dipp2NHSi)(Dipp2NHSi-Cl)] (27). Complete transfer of a halide to the silylene was achieved for the reaction of Dipp2NHSi with [(η5-C5H5)Ni(PPh3)(Cl)] to yield [Ni(PPh3)(η5-C5H5)(Dipp2NHSi-Cl)] (28). Similarly, the reaction with [(η5-C5H5)Fe(CO)2(I)] led to the formation of [(η5 C5H5)Fe(CO)2(Dipp2NHSi-I)] (29).
Although the contribution to the Isotropic Gamma-Ray Background (IGRB) from unresolved extragalactic objects has been studied for many years, its exact composition and origin are as of yet unknown. It is suspected that diffuse processes such as dark matter annihilation contribute to the total IGRB, as well as unresolved gamma-ray emission from Active Galactic Nuclei (AGN), including radio galaxies. Radio galaxies are a source class that emit strongly at radio wavelengths, some of which have also been detected at gamma-ray wavelengths by the Fermi Large Area Telescope (Fermi-LAT), and by very high energy gamma-ray Cherenkov telescopes. It is thought that due to the orientation of their jets, radio galaxies are detected less numerously at gamma-ray energies than blazars. Furthermore, only a small number of radio galaxies have been detected at gamma-ray energies though it is considered that others do as well. It is for these reasons that gamma-ray emitting radio galaxies, an interesting and elusive class of objects, are selected for investigation in this work.
In order to reach the goal of better understanding diffuse processes, it is necessary to model the radio galaxy spectral energy distributions (SEDs). As AGN emission is variable with respect to time, it is critical to use simultaneously collected observations. Calculation of the SED based on simultaneous, multiwavelength data across the electromagnetic spectrum produces a reasonably accurate representation of the state of an object in a given time range. The gamma-ray emitting radio galaxies M 87, NGC 1275, Pictor A, and Centaurus A are selected here based on having been detected in very high energy gamma-rays by Cherenkov telescopes, as well as in other wavelengths. A uniquely consistent analysis approach is applied, in which each radio galaxy is analyzed the same way using simultaneously collected data. This approach sets it apart from other studies.
Fermi-LAT raw data for each source in the sample is analyzed in time ranges which directly overlap the very high energy gamma-ray Cherenkov observations, as well as several other wavelength ranges. A synchrotron self-Compton (SSC) model is applied, which provides accurate treatment of synchrotron and inverse-Compton processes occurring in the jets of AGN, while estimating physical characteristics of the source. It is found that the spectra of M 87, NGC 1275, Pictor A, and Centaurus A can be well described by the same SSC model, producing values for the physical characteristics such as the doppler factor and magnetic field, which are relatively consistent with each other.
In order to characterize the diffuse emission from dark matter self-annihilation, the radio galaxy SEDs are also fit with a dark matter model, resulting in an estimated dark matter particle mass of around 4.7 TeV which lies within predicted ranges.
The highly dense regions near the black holes of AGN provide the optimal conditions for detecting these signatures. It is also found here that discrepancies between the expected emission and the observed emission in the spectra of some radio galaxies can be explained using the combined SSC and dark matter model. As emission from dark matter annihilation is expected to remain steady with respect to time, a key feature of this work is the novelty of the combined SSC and dark matter model, and the finding that dark matter characteristics may be revealed through similar multiwavelength analyses during future low emission states of the AGN.
The radio galaxy sample is then extended to include all gamma-ray emitting radio galaxies detected by the Fermi-LAT, and a calculation of the core radio, total radio, and gamma-ray luminosities is followed through. A future step in extending this work would be to estimate the gamma-ray luminosity function of radio galaxies and their percent contribution to the total IGRB, based on the widely agreed upon assumption that a reasonable estimate of the gamma-ray luminosity function of a population can be attained by appropriately scaling its radio luminosity function, as gamma-ray luminosities and radio luminosities are strongly linearly correlated. This work has also provided the basis for such a calculation by outlining the theory and initial steps.
It is the hope that the vast scope of the gathered data, its simultaneity, and the use of consistent analysis methods across the sample, will provide an improved foundation for a future calculation of the contribution of this population to the IGRB, as well as encourage stricter requirements for multiwavelength studies.
This dissertation investigates the application of multivariate Chebyshev polynomials in the algebraic signal processing theory for the development of FFT-like algorithms for discrete cosine transforms on weight lattices of compact Lie groups. After an introduction of the algebraic signal processing theory, a multivariate Gauss-Jacobi procedure for the development of orthogonal transforms is proven. Two theorems on fast algorithms in algebraic signal processing, one based on a decomposition property of certain polynomials and the other based on induced modules, are proven as multivariate generalizations of prior theorems. The definition of multivariate Chebyshev polynomials based on the theory of root systems is recalled. It is shown how to use these polynomials to define discrete cosine transforms on weight lattices of compact Lie groups. Furthermore it is shown how to develop FFT-like algorithms for these transforms. Then the theory of matrix-valued, multivariate Chebyshev polynomials is developed based on prior ideas. Under an existence assumption a formula for generating functions of these matrix-valued Chebyshev polynomials is deduced.
To this day, opioids represent the most effective class of drugs for the treatment of severe pain. On a molecular level, all opioids in use today are agonists at the μ-opioid receptor (μ receptor). The μ receptor is a class A G protein-coupled receptor (GPCR). GPCRs are among the biological structures most frequently targeted by pharmaceuticals. They are membrane bound receptors, which confer their signals into the cell primarily by activating a variety of GTPases called G proteins. In the course of the signaling process, the μ receptor will be phosphorylated by GRKs, increasing its affinity for another entity of signaling proteins called β-arrestins (β-arrs). The binding of a β-arr to the activated μ receptor will end the G protein signal and cause the receptor to be internalized into the cell. Past research showed that the μ receptor’s G protein signal puts into effect the desired pain relieving properties of opioid drugs, whereas β-arr recruitment is more often linked to adverse effects like obstipation, tolerance, and respiratory depression. Recent work in academic and industrial research picked up on these findings and looked into the possibility of enhancing G protein signaling while suppressing β-arr recruitment. The conceptual groundwork of such approaches is the phenomenon of biased agonism. It appreciates the fact that different ligands can change the relative contribution of any given pathway to the overall downstream signaling, thus enabling not only receptor-specific but even pathway-specific signaling.
This work examined the ability of a variety of common opioid drugs to specifically activate the different signaling pathways and quantify it by means of resonance energy transfer and protein complementation experiments in living cells. Phosphorylation of the activated receptor is a central step in the canonical GPCR signaling process. Therefore, in a second step, expression levels of the phosphorylating GRKs were enhanced in search for possible effects on receptor signaling and ligand bias.
In short, detailed pharmacological profiles of 17 opioid ligands were recorded. Comparison with known clinical properties of the compounds showed robust correlation of G protein activation efficacy and analgesic potency. Ligand bias (i.e. significant preference of any path- way over another by a given agonist) was found for a number of opioids in native HEK293 cells overexpressing μ receptor and β-arrs. Furthermore, overexpression of GRK2 was shown to fundamentally
change β-arr pharmacodynamics of nearly all opioids. As a consequence, any ligand bias as detected earlier was abolished with GRK2 overexpression, with the exception of buprenorhin. In summary, the following key findings stand out: (1) Common opioid drugs exert biased agonism at the μ receptor to a small extent. (2) Ligand bias is influenced by expression levels of GRK2, which may vary between individuals, target tissues or even over time. (3) One of the opioids, buprenorhin, did not change its signaling properties with the overexpression of GRK2. This might serve as a starting point for the development of new opioids which could lack the ability of β-arr recruitment altogether and thus might help reduce adverse side effects in the treatment of severe pain.
The subject of this thesis is the fabrication and characterization of magnetic topological
insulator layers of (V,Bi,Sb)\(_2\)Te\(_3\) exhibiting the quantum anomalous Hall
effect. A major task was the experimental realization of the quantum anomalous
Hall effect, which is only observed in layers with very specific structural,
electronic and magnetic properties. These properties and their influence on the
quantum anomalous Hall effect are analyzed in detail.
First, the optimal conditions for the growth of pure Bi\(_2\)Te\(_3\) and Sb\(_2\)Te\(_3\) crystal
layers and the resulting structural quality are studied. The crystalline quality of
Bi\(_2\)Te\(_3\) improves significantly at higher growth temperatures resulting in a small
mosaicity-tilt and reduced twinning defects. The optimal growth temperature is
determined as 260\(^{\circ}\)C, low enough to avoid desorption while maintaining a high
crystalline quality.
The crystalline quality of Sb\(_2\)Te\(_3\) is less dependent on the growth temperature.
Temperatures below 230\(^{\circ}\)C are necessary to avoid significant material desorption,
though. Especially for the nucleation on Si(111)-H, a low sticking coefficient is
observed preventing the coalescence of islands into a homogeneous layer.
The influence of the substrate type, miscut and annealing sequence on the growth
of Bi\(_2\)Te\(_3\) layers is investigated. The alignment of the layer changes depending on
the miscut angle and annealing sequence: Typically, layer planes align parallel to
the Si(111) planes. This can enhance the twin suppression due to transfer of the
stacking order from the substrate to the layer at step edges, but results in a step
bunched layer morphology. For specific substrate preparations, however, the layer
planes are observed to align parallel to the surface plane. This alignment avoids
displacement at the step edges, which would cause anti-phase domains. This results
in narrow Bragg peaks in XRD rocking curve scans due to long-range order in
the absence of anti-phase domains. Furthermore, the use of rough Fe:InP(111):B
substrates leads to a strong reduction of twinning defects and a significantly reduced
mosaicity-twist due to the smaller lattice mismatch.
Next, the magnetically doped mixed compound V\(_z\)(Bi\(_{1−x}\)Sb\(_x\))\(_{2−z}\)Te\(_3\) is studied in
order to realize the quantum anomalous Hall effect. The addition of V and Bi to
Sb\(_2\)Te\(_3\) leads to efficient nucleation on the Si(111)-H surface and a closed, homogeneous
layer. Magneto-transport measurements of layers reveal a finite anomalous
Hall resistivity significantly below the von Klitzing constant. The observation of
the quantum anomalous Hall effect requires the complete suppression of parasitic
bulklike conduction due to defect induced carriers. This can be achieved by optimizing
the thickness, composition and growth conditions of the layers.
The growth temperature is observed to strongly influence the structural quality.
Elevated temperatures result in bigger islands, improved crystallographic orientation
and reduced twinning. On the other hand, desorption of primarily Sb is
observed, affecting the thickness, composition and reproducibility of the layers.
At 190\(^{\circ}\)C, desorption is avoided enabling precise control of layer thickness and
composition of the quaternary compound while maintaining a high structural
quality.
It is especially important to optimize the Bi/Sb ratio in the (V,Bi,Sb)\(_2\)Te\(_3\) layers,
since by alloying n-type Bi\(_2\)Te\(_3\) and p-type Sb\(_2\)Te\(_3\) charge neutrality is achieved at
a specific mixing ratio. This is necessary to shift the Fermi level into the magnetic
exchange gap and fully suppress the bulk conduction. The Sb content x furthermore
influences the in-plane lattice constant a significantly. This is utilized to
accurately determine x even for thin films below 10 nm thickness required for the
quantum anomalous Hall effect. Furthermore, x strongly influences the surface
morphology: with increasing x the island size decreases and the RMS roughness
increases by up to a factor of 4 between x = 0 and x = 1.
A series of samples with x varied between 0.56-0.95 is grown, while carefully
maintaining a constant thickness of 9 nm and a doping concentration of 2 at.% V.
Magneto-transport measurements reveal the charge neutral point around x = 0.86
at 4.2 K. The maximum of the anomalous Hall resistivity of 0.44 h/e\(^2\) is observed
at x = 0.77 close to charge neutrality. Reducing the measurement temperature
to 50 mK significantly increases the anomalous Hall resistivity. Several samples
in a narrow range of x between 0.76-0.79 show the quantum anomalous Hall effect
with the Hall resistivity reaching the von Klitzing constant and a vanishing
longitudinal resistivity. Having realized the quantum anomalous Hall effect as the
first group in Europe, this breakthrough enabled us to study the electronic and
magnetic properties of the samples in close collaborations with other groups.
In collaboration with the Physikalisch-Technische Bundesanstalt high-precision
measurements were conducted with detailed error analysis yielding a relative de-
viation from the von Klitzing constant of (0.17 \(\pm\) 0.25) * 10\(^{−6}\). This is published
as the smallest, most precise value at that time, proving the high quality of the
provided samples. This result paves the way for the application of magnetic topological
insulators as zero-field resistance standards.
Non-local magneto-transport measurements were conducted at 15 mK in close
collaboration with the transport group in EP3. The results prove that transport
happens through chiral edge channels. The detailed analysis of small anomalies in
transport measurements reveals instabilities in the magnetic phase even at 15 mK.
Their time dependent nature indicates the presence of superparamagnetic contributions
in the nominally ferromagnetic phase.
Next, the influence of the capping layer and the substrate type on structural properties
and the impact on the quantum anomalous Hall effect is investigated. To
this end, a layer was grown on a semi-insulating Fe:InP(111)B substrate using the
previously optimized growth conditions. The crystalline quality is improved significantly
with the mosaicity twist reduced from 5.4\(^{\circ}\) to 1.0\(^{\circ}\). Furthermore, a layer
without protective capping layer was grown on Si and studied after providing sufficient
time for degradation. The uncapped layer on Si shows perfect quantization,
while the layer on InP deviates by about 5%. This may be caused by the higher
crystalline quality, but variations in e.g. Sb content cannot be ruled out as the
cause. Overall, the quantum anomalous Hall effect seems robust against changes
in substrate and capping layer with only little deviations.
Furthermore, the dependence of the quantum anomalous Hall effect on the thickness
of the layers is investigated. Between 5-8 nm thickness the material typically
transitions from a 2D topological insulator with hybridized top and bottom surface
states to a 3D topological insulator. A set of samples with 6 nm, 8 nm, and
9 nm thickness exhibits the quantum anomalous Hall effect, while 5 nm and 15 nm
thick layers show significant bulk contributions. The analysis of the longitudinal
and Hall conductivity during the reversal of magnetization reveals distinct differences
between different thicknesses. The 6 nm thick layer shows scaling consistent
with the integer quantum Hall effect, while the 9 nm thick layer shows scaling expected
for the topological surface states of a 3D topological insulator. The unique
scaling of the 9 nm thick layer is of particular interest as it may be a result of
axion electrodynamics in a 3D topological insulator.
Subsequently, the influence of V doping on the structural and magnetic properties
of the host material is studied systematically. Similarly to Bi alloying, increased
V doping seems to flatten the layer surface significantly. With increasing V content,
Te bonding partners are observed to increase simultaneously in a 2:3 ratio
as expected for V incorporation on group-V sites. The linear contraction of the
in-plane and out-of-plane lattice constants with increasing V doping is quantitatively
consistent with the incorporation of V\(^{3+}\) ions, possibly mixed with V\(^{4+}\)
ions, at the group-V sites. This is consistent with SQUID measurements showing
a magnetization of 1.3 \(\mu_B\) per V ion.
Finally, magnetically doped topological insulator heterostructures are fabricated
and studied in magneto-transport. Trilayer heterostructures with a non-magnetic
(Bi,Sb)\(_2\)Te\(_3\) layer sandwiched between two magnetically doped layers are predicted
to host the axion insulator state if the two magnetic layers are decoupled and in
antiparallel configuration. Magneto-transport measurements of such a trilayer heterostructure
with 7 nm undoped (Bi,Sb)\(_2\)Te\(_3\) between 2 nm thick layers doped with
1.5 at.% V exhibit a zero Hall plateau representing an insulating state. Similar results
in the literature were interpreted as axion insulator state, but in the absence
of a measurement showing the antiparallel magnetic orientation other explanations
for the insulating state cannot be ruled out.
Furthermore, heterostructures including a 2 nm thin, highly V doped layer region
show an anomalous Hall effect of opposite sign compared to previous samples. A
dependency on the thickness and position of the doped layer region is observed,
which indicates that scattering at the interfaces causes contributions to the anomalous
Hall effect of opposite sign compared to bulk scattering effects.
Many interesting phenomena in quantum anomalous Hall insulators as well as axion
insulators are still not unambiguously observed. This includes Majorana bound
states in quantum anomalous Hall insulator/superconductor hybrid systems and
the topological magneto-electric effect in axion insulators. The limited observation
temperature of the quantum anomalous Hall effect of below 1 K could be increased
in 3D topological insulator/magnetic insulator heterostructures which utilize the
magnetic proximity effect.
The main achievement of this thesis is the reproducible growth and characterization
of (V,Bi,Sb)2Te3 layers exhibiting the quantum anomalous Hall effect. The
detailed study of the structural requirements of the quantum anomalous Hall effect
and the observation of the unique axionic scaling behavior in 3D magnetic
topological insulator layers leads to a better understanding of the nature of this
new quantum state. The high-precision measurements of the quantum anomalous
Hall effect reporting the smallest deviation from the von Klitzing constant
are an important step towards the realization of a zero-field quantum resistance
standard.
Sexually reproducing organisms depend on meiosis for the generation of haploid, genetically diverse gametes to maintain genome stability and the potential to adapt to changing environments. Haploidization is achieved through two successive rounds of cell division after a single initial pre-meiotic DNA replication. Meiosis I segregates the homologous chromosomes, followed by the segregation of the sister chromatids in meiosis II. Genetic diversity is achieved through the process of recombination that de-scribes the exchange of genetic material between the maternal and paternal homolog. Recombination and the initial steps of haploidization are executed already early on in prophase I. Both essential processes depend on a variety of multiprotein complexes, such as the linker of nucleo- and cytoplasm (LINC) complex and the synaptonemal complex (SC). The structure of multiprotein complexes is adjusted according to their function, environment, and the forces they are subjected to. Coiled-coil domains typical in load-bearing proteins characterize the meiotic mechanotransducing LINC complexes. SCs resemble ladder-like structures that are highly conserved amongst eukaryotes, while the primary sequence of the proteins that form the complex display very little if any sequence homology. Despite the apparent significance of the structure to their function, little quantitative and topological data existed on the LINC complexes and the SC within their morphological context prior to the present work. Here, the molecular architecture of the meiotic telomere attachment site where LINC complexes reside and the SC have been analyzed in depth, mainly on the basis of electron microscope tomography derived 3D models complemented by super-resolution light microscopic acquisitions of the respective protein components.
Deubiquitinases are regulators of the ubiquitin proteasome system that counteract the ubiquitination cascade by removing ubiquitin from substrates and cleaving ubiquitin chains. Due to their involvment in various important pathways, they are associated with several diseases and may thus present promising drug targets. The two related ubiquitin specific proteases USP25 and USP28 share a highly conserved amino acid sequence but perform distinct biological functions. USP28 plays roles in cell cycle regulation and was also linked to several types of cancer. It adopts oncogenic functions by rescuing the oncoproteins MYC and JUN from proteasomal degradation, which is induced by the E3-ligase SCF (FBW7). Opposingly, USP28 also regulates the stability of the tumor suppressor FBW7 itself. USP25 contributes to a balanced innate immune system by stabilizing TRAF3 and TRAF6 and lately was found to promote Wnt-signaling by deubiquitinating TNKS.
Due to the high level of identity of both proteases, a recent attempt to inhibit USP28 led to cross reactivity against USP25. In our study, we characterized both USP25 and USP28 structurally and functionally using x-ray crystallography, biochemical as well as biophysical approaches to determine similarities and differences that can be exploited for the development of specific inhibitors.
The crystal structure of the USP28 catalytic domain revealed a cherry-couple like dimer that mediates self-association by an inserted helical subdomain, the USP25/28 catalytic domain inserted domain (UCID). In USP25, the UCID leads to formation of a tetramer composed of two interlinked USP28-like dimers. Structural and functional analysis revealed that the dimeric USP28 is active, whereas the tetrameric USP25 is auto inhibited. Disruption of the tetramer by a cancer-associated mutation or a deletion-variant activates USP25 through dimer formation in in vitro assays and leads to an increased stability of TNKS in cell studies. Furthermore, in vitro data showed that neither ubiquitin nor substrate binding led to the activation of the USP25 tetramer construct. With the structure of the C-terminal domain of USP25, we determined the last unknown region in the enzyme as a separately folded domain that mediates substrate interactions.
Combined the structures of the USP25 and USP28 catalytic domains and the functional characterization of both enzymes provide novel insights into the regulation of USPs by oligomerization. Furthermore, we identified individual features of each protease that might be explored for the development of specific small molecule inhibitors.
T cell infiltration into the intestine occurs after priming and activation in the mesenteric lymph nodes and Peyer’s patches and subsequent trafficking via the blood circulation. We hypothesized that additionally to the vascular trafficking route, a fraction of T cells in the Peyer’s patches directly migrate into the adjacent lamina propria of the small intestine. To test this hypothesis, we employed a mouse model of acute Graft-versus-Host Disease to study the direct T cell migration from the Peyer’s patches to the adjacent lamina propria.
First, we analyzed the border of Peyer’s patches on histological sections and found that the Peyer’s patch is not enclosed by a capsule or basement membrane. Thus, the tissue architecture allows for direct access to the surrounding tissue. With whole-mount light sheet fluorescence microscopy we quantified a three-dimensional gradient of T cells around Peyer’s patches on day 2.5 and day 3 after transplantation. This gradient evened out at day 4 and day 6 when high numbers of T cells started to evenly infiltrate the intestine from the blood circulation. We confirmed that gradient-forming T cells around Peyer’s patches resided within the tissue parenchyma of the lamina propria and not inside lymphatic vessels.
To positively prove that the recently activated donor T cells around Peyer’s patches have egressed directly from that patch, we established a protocol for intravital photoconversion of T cells inside Peyer’s patches. 12 h after photoconversion inside a single Peyer’s patch, photoconverted T cells resided only around this particular Peyer’s patch and not elsewhere in the small intestine. This indicated that the T cells did not infiltrate via the blood but migrated to the adjacent lamina propria of the small intestine. Dynamic intravital two-photon microscopy revealed that these T cells next to the Peyer’s patch migrated in a random pattern. This suggested that these cells did not follow a positive chemoattractive gradient once they had reached the lamina propria. Laser-capture microdissection combined with RNA sequencing of the mucosa near the Peyer’s patch identified a wide range of migration-promoting factors. These included chemokines, co-stimulatory receptors and migration-associated intracellular molecules, which are candidates to promote this direct migration from Peyer’s patches.
Altogether, we demonstrate for the first time that additionally to the vascular trafficking route, a fraction of T cells migrates directly from the Peyer’s patch to the surrounding mucosa. This mechanism implies so far unrecognized regional specification of Peyer’s-patch-primed T cells. Our findings may impact treatment strategies to avoid intestinal inflammation or foster immunity after oral vaccination.
Insect microbiota plays an essential role on the hosts’ health and fitness, regulating their development, nutrition and immunity. The natural microbiota of bees, in particular, has been given much attention, largely because of the globally reported bee population declines. However, although the worker honey bee has been associated with distinctive and specialized microbiota, the microbiota of solitary bees has not been examined in detail, despite their enormous ecological importance. The main objectives of the present thesis were a) the bacterial community description for various solitary bee species, b) the association of the solitary bee microbiota with ecological factors such as landscape type, c) the relation of the bee foraging preferences with their nest bacterial microbiota, d) the examination of the nest building material contribution to the nest microbiota, e) the isolation of bacterial strains with beneficial or harmful properties for the solitary bee larvae and f) the pathological investigation of bacteria found in deceased solitary bee larvae.
The findings of the present study revealed a high bacterial biodiversity in the solitary bee nests. At the same time, the bacterial communities were different for each bee host species. Furthermore, it was shown that the pollen bacterial communities underwent compositional shifts reflecting a reduction in floral bacteria with progressing larval development, while a clear landscape effect was absent. The examination of the nest pollen provisions showed different foraging preferences for each included bee species. Both the pollen composition and the host species identity had a strong effect on the pollen bacteria, indicating that the pollen bacterial communities are the result of a combinatory process. The introduced environmental material also contributed to the nest natural microbiome. However, although the larval microbiota was significantly influenced by the pollen microbiota, it was not much associated with that of the nest material.
Two Paenibacillus strains isolated from O. bicornis nests showed strong antifungal activities, while several isolated strains were able to metabolize various oligosaccharides which are common in pollen and nectar. Screening for potential pathogenic bacteria in the nests of O. bicornis unveiled bacterial taxa, which dominated the bacterial community in deceased larvae, while at the same time they were undetectable in the healthy individuals.
vi
Finally, larvae which were raised in vitro developed distinct bacterial microbiomes according to their diet, while their life span was affected.
The present thesis described aspects of the microbiota dynamics in the nests of seven megachilid solitary bee nests, by suggesting which transmission pathways shape the established bacterial communities and how these are altered with larval development. Furthermore, specific bacterial taxa were associated with possible services they might provide to the larvae, while others were related with possible harmful effects. Future studies should integrate microbiota examination of different bee generations and parallel investigation of the microbiota of the nests and their surrounding environment (plant community, soil) to elucidate the bacterial transmission paths which establish the nest microbiota of solitary bees. Functional assays will also allow future studies to characterize specific nest bacteria as beneficial or harmful and describe how they assist the development of healthy bees and the fitness of bee populations.
Bone marrow dosimetry is a topic of high interest in molecular radiotherapy. Predicting the level of hematological toxicity is one of the most important goals of nuclear medicine radiation dosimetry. To achieve this, it is necessary to quantify the absorbed dose to the active bone marrow, thus aiming at administering the most efficient therapy with a minimum level of adverse effects in the patient. The anatomical complexity of trabecular bone and bone marrow leads to the need of applying non-nuclear medicine imaging methods for determining the spatial distribution of soft tissue, adipose tissue, and bone in spongiosa.
Therefore, the two objectives of this dissertation are: i) to apply magnetic resonance imaging (MRI) for quantification of the fat volume fraction, and ii) to validate a method based on dual-energy quantitative computed tomography (DEQCT) for quantification of the trabecular bone volume fraction.
In a first step, an MRI sequence (two-point Dixon) for fat-water separation was validated in a 3 Tesla system by quantifying the fat volume fraction in a phantom and the lumbar vertebrae of volunteers and comparing with magnetic resonance spectroscopy (MRS). After successful validation, the fat volume fraction was retrospectively measured in the five lumbar vertebrae of 44 patient images acquired in the clinical routine. The two-point Dixon showed a good quantification of the fat volume fraction in the phantom experiment (-9.8% maximum relative error with respect to the nominal values). In the volunteers, a non-significant difference between MRI and MRS was found for the quantification of the fat volume fraction in volumes-of-interest with similar dimensions and position in both quantification methodologies (MRI and MRS). In the study with patient data, the marrow conversion (red → yellow marrow) was found to be age-dependent, and slower in males (0.3% per year) than in females (0.5% per year). Also, considerable variability of the fat volume fraction in patients of similar ages and the same gender was observed.
These results enable the use of two-point Dixon MRI in the quantification of the fat volume fraction in the bone marrow. Additionally, the constant marrow conversion during adulthood suggests that a patient-specific approach should replace the assumption of a constant cellularity volume fraction of 0.7 (reference man) (1,2) as proposed by the International Commission on Radiological Protection (ICRP).
In a second step, a quantification method based on DEQCT was validated in two CT systems: i) a clinical CT integrated into a SPECT/CT and ii) a dual-source computed tomography (DSCT) system. The method was applied in two phantoms: the first was used to validate the DEQCT method by the quantification of the hydroxyapatite volume fraction in three vials of 50 ml each and three different hydroxyapatite concentrations (100 mg/cm3, 200 mg/cm3, 300 mg/cm3). The second phantom was the European spine phantom (ESP), an anthropomorphic spine phantom. It was used to quantify the bone mineral content (BMC) on the whole vertebra and the hydroxyapatite volume fraction (VFHA) in the spongiosa region of each vertebra of the phantom. Lastly, the BMC of lumbar vertebrae 1 (LV1) and 2 (LV2) was measured in a patient using DEQCT and dual-energy X-ray absorptiometry (DEXA). Furthermore, the hydroxyapatite volume fraction (VFHA) and the bone volume fraction (VFB) was calculated for both the whole vertebrae and the spongiosa region of LV1 and LV2.
The measured and nominal hydroxyapatite volume fraction in the vial phantom showed a good correlation (maximum relative error: 14.2%). The quantification of the BMC on the whole vertebra and the VFHA on the spongiosa region showed larger relative errors than in the validation phantom. The quantification of BMC on LV1 and LV2 showed relative errors between DEXA and DSCT equal to 7.6% (LV1) and -8.4% (LV2). Also, the values of the VFHA (mineral bone) were smaller than the VFB. This result is consistent with the bone composition (mineral bone plus organic material).
The DEQCT method enables the quantification of hydroxyapatite (mineral bone) and bone (mineral bone plus organic material) in a clinical setting. However, the method showed an overestimation of the quantified mineral bone volume fraction. This overestimation might be related to the lack of detailed information on the CT X-ray spectra and detector sensitivity. Also, the DEQCT method showed a dependency on the CT reconstruction kernel and the chemical description of the materials to be quantified.
Based on the results of this work, the feasibility for quantifying the fat volume fraction and the bone volume fraction in the spongiosa in a clinical setting has been demonstrated/proven. Furthermore, the differences in fat volume fraction in females and males, as well as the variability of the fat volume fraction in subjects of similar ages, questions the approximation of the cellularity volume fraction by only a single ICRP reference value in bone marrow dosimetry for molecular radiotherapy. Lastly, this study presents the first approach for non-invasive quantification of the bone volume fraction (mineral bone plus organic material) for improved bone marrow dosimetry.
Megakaryocyte localization in the bone marrow depending on the knock-out of small Rho GTPases
(2020)
This work focuses on megakaryocyte physiology with a special interest in the description of the localization of megakaryocytes in the bone marrow in mice single-deficient of the small Rho GTPase RhoA or double-deficient for RhoA and Cdc42. RhoA knock-out mice revealed intraluminal presence of megakaryocytes in bone marrow sinusoids. In a next step, potential aggravation, attenuation or preservation of this phenotype was studied in related mouse strains and also in the setting of platelet depletion and blockage of important megakaryocyte and platelet glycoprotein receptors in order to understand underlying singling pathways. A second part of this thesis studied the role of RhoF in filopodia formation and scrutinized RhoF deficient mice with regard to platelet activation and degranulation.
Media have become omnipresent in children’s and youths’ everyday lives, and they also offer rich chances and challenges for educational contexts. On the one hand, media can, for example, support students’ learning effectively, enhance lessons with innovative tools and methods and help individualize teaching and learning processes. On the other hand, students need to learn, e.g., how to use these media, how to select and evaluate them and how to act responsibly in a digitalized and mediatized world. Teachers are a core stakeholder in this context. To take advantage of the benefits media offer for teaching and learning processes, to support students in the acquisition of respective competencies and to fulfill numerous other media-related tasks and challenges, teachers need to acquire respective competencies in their initial teacher education, which can be summarized as media-related educational competencies.
The relevance of these competencies is evident on different levels. In related research, respective competency models are developed, and in practices of teacher education, competencies are measured and efforts are taken to advance the competencies of preservice teachers. Against this background, this semi-cumulative dissertation presents a theory-based and empirical analysis of the competencies in question from a comprehensive and multidimensional perspective. In accordance with the central aspects outlined, the three systematic main fields focused on are models of media-related educational competencies, their measurement and practices of advancement in teacher education, as well as the interplay of these three fields. The dissertation takes on an international comparative perspective and focuses on the examples of initial teacher education in Germany and the USA.
The article-based dissertation comprises three main parts, framed by introduction and conclusion. The introduction provides a basis for the following work with regards to terminology, scope of research and overall methodology. The first main part is concerned with models of media-related educational competencies and includes a theory-based systematic comparison of three relevant models. This part explicates the varieties between competency models, and it discusses central aspects of selection and application. In Part II, methods and varieties of competency measurement are focused on, and an article is presented which shares results of an exploratory quantitative measurement of the respective competencies of German and US preservice teachers. Overall, this part reveals the potential and limitations of competency measurement and transfers these conclusions to the competency models introduced in Part I. Part III is concerned with an analysis of current practices of advancing media-related educational competencies in Germany and the USA. In this context, stakeholders influencing these practices will be systemized and analyzed in their role and impact. The article included in Part III introduces interviews which were conducted to achieve insights into the perspectives of selected experts, regarding relevant models, practices and outcomes of media-related teacher education in Germany and the USA.
Finally, the Conclusion of the dissertation will draw together the different strands, clarify the close connection between the domains of modeling, measuring and advancing the competencies in question and discuss the interdependencies of these three dimensions. These perspectives help both to contextualize and bring together important facets which have often been treated separately in related research and will add new facets to ultimately achieve a comprehensive and multifaceted viewpoint.
Against the background of the intercultural comparative perspective, the results and findings will ultimately achieve an enhanced and deep analysis and reflection on the complex field of media-related educational competencies in Germany and the USA and beyond.
Sales forecasts are an essential determinant of operational planning in entrepreneurial organizations. However, in China, as in other emerging markets, monthly sales forecasts are particularly challenging for multinational automotive enterprises and suppliers. A chief reason for this is that conventional approaches to sales forecasting often fail to capture the underlying market dynamics. To that end, this dissertation investigates the application of Artificial Neural Networks with an implemented backpropagation algorithm as a more “unconventional” sales forecasting method. A key element of statistical modelling is the selection of superior leading indicators. These indicators were collected as part of the researcher’s expert interviews with multinational enterprises and state associations in China. The economic plausibility of all specified indicators is critically explored in qualitative-quantitative pre-selection procedures. The overall objective of the present study was to improve the accuracy of monthly sales forecasts in the Chinese automotive market. This objective was achieved by showing that the forecasting error could be lowered to a new benchmark of less than 10% in an out-of-sample forecasting application.
Liquid chromatography has become the gold standard for modern quality control and purity analytics since its establishment in the 1930s. However, some analytical questions remain very challenging even today. Several molecules and impurities do not possess a suitable chromophore for the application of UV detection or cannot be retained well on regular RP columns. Possible solutions are found in derivatization procedures, but they are time consuming and can be prone to errors. In order to detect non chromophore molecules underivatized, the concept of aerosol based universal detection was established with the introduction of the evaporative light scattering detector (ELSD) in the 1970s and the charged aerosol detector (CAD) followed in 2002. These two challenging fields – polar and non chromophore molecules – are tackled in this thesis.
An overview of applications of the CAD in the literature and a comparison to its aerosol based competitors and MS is presented, emphasizing on its high sensitivity and robustness. Parameters and techniques to overcome the drawbacks of CAD, such as the use of gradient compensation or adjusted evaporation temperatures are discussed. A consideration of aspects and drawbacks of data transformation such as the integrated power function value (PFV) in the GMP environment is performed.
A method for the fatty acid analysis in polysorbate 80 that was developed on HPLC CAD was transferred to UHPLC CAD. Time and eluent savings of over 75% and 40%, respectively, as well as ways to determine the optimal CAD parameters resulted from this investigation. The evaporation temperature was determined as the most crucial setting, which has to be adjusted with care. Optimal signal to noise ratios are found at a compromise between maintaining analyte signal and reducing background noise. The incorporation of semi volatile short chain fatty acids enabled the observation of differences based on volatility of the analyte. E.g. for semi volatiles, an improved linearity by means of adjusting the PFV is achieved at values below 1.0 instead of at elevated PFVs.
Using sugars and sugar related antibiotics, a proof-of-concept was given that artificial neural networks can describe correlations between the structure and physicochemical properties of molecules and their response in CAD. Quantitative structure property relationships obtained by design of experiment approaches were able to predict the response of unseen substances and yielded insights on the response generation of the detector, which heavily relies on the formed surface area of the dried particle. Further work can substantiate upon these findings, eventually building a library of diverse eluent compositions, analytes and settings.
In order to cope with a chromatographically challenging substances, the application of ion pairing reversed phase chromatography coupled to low wavelength UV detection has been shown as a possible approach for the amino acid L asparagine. A method capable of compendial purity analysis in one single HPLC approach, thus making the utilization of the semi quantitative TLC-ninhydrin analysis obsolete, resulted from this. One cyclic dipeptide impurity (diketoasparagine) that was formerly not assessed, could be identified in several batches and added to the monograph of the Ph.Eur.
Studying ibandronate sodium with CAD and ELSD, it was found that randomly occurring spike peaks represent a major flaw of the ELSD when high sample load is present. The research with this non chromophore bisphosphonate drug furthermore shed light on possible drawbacks of mixed mode chromatography methods and ways to overcome these issues. Due to strong adsorption of the analyte onto the column, over ten injections of the highly concentrated test solution were found to be necessary to ensure reproducible peak areas. Preconditioning steps should thus be evaluated for mixed mode approaches during method development and validation.
Last, using a ternary mixed mode stationary phase coupled to CAD, a method for the impurity profiling of pamidronate disodium, also applicable to the assessment of phosphate and phosphite in four other bisphosphonate drugs, has been developed. This represents a major advantage over the Ph.Eur. impurity profiling of pamidronate, which requires two different methods, one of which is only a semi quantitative TLC approach.
Sharing stories has become increasingly popular as a means to foster young children’s vocabulary development and to target early vocabulary gaps between disadvantaged children and their better-equipped peers. Although, in general, the beneficial effects of story interventions have been demonstrated (Marulis & Neuman, 2010, 2013), many factors possibly moderating those effects – including method of story delivery as well as questioning style – merit further examination (R. L. Walsh & Hodge, 2018).
The aim of the present doctoral thesis was to test predictions from different theories on methods of story delivery and questioning styles regarding their influence on children’s vocabulary learning from listening to stories. Method of story delivery refers to the general way of how stories can be conveyed, with reading aloud and free-telling of stories (i.e., the narrator telling stories without reading from text) representing different approaches that are assumed to differ regarding narrator behavior and linguistic complexity. Questioning styles refer to different combinations of questions’ cognitive demand level (low vs. high vs. scaffolding-like increasing from low to high) and/or placement (within the story vs. after the story) during story sessions.
In the present doctoral thesis, the first two studies (Studies 1 and 2) compared reading aloud and free-telling of stories as different methods of story delivery. Study 1 consisted of two experiments utilizing a within-subjects design with 3- to 6-year-old preschool children (Nexperiment1 = 83; Nexperiment2 = 48) listening to stories once either presented read aloud or freely told. Study 2 extended the first study by examining effects on story comprehension and additionally including audiotape versions of both story-delivery methods as experimental conditions, which allowed separating narrator behavior and linguistic complexity. With the second study being conducted as a between-subjects design, 4- to 6-year-old preschool children (N = 60) heard each of the stories twice, but listened only to one type of story delivery. The results of Study 1 indicated that no differences between methods of story delivery regarding word learning and child engagement were observable when narrator behavior in terms of eye contact and gesticulation was similar. However in Study 2, when free-telling was operationalized in a more naturalistic way, marked by higher rates of eye contact and gesticulation, it resulted in better child engagement, greater vocabulary learning, and better story comprehension than reading aloud. In contrast, as indicated by both studies, differences in linguistic complexity had no short-term impact on learning and comprehension. The studies, however, could not isolate the influence of eye contact versus gesture usage and could not distinguish between different types of gestures.
The second set of studies (Studies 3 and 4) contrasted the effects of different types of question demand level (low vs. high vs. scaffolding-like increasing from low to high) and placement (within the story vs. after the story) and examined potential interactions with children’s cognitive skills. In one-to-one reading sessions (Study 3; N = 86) or small-group reading sessions (Study 4; N = 91) 4- to 6-year-old preschool children heard stories three times marked by different types of question demand level and placement or simply read-aloud without questions. The adult narrators encouraged the children to reflect on and answer questions (Study 1) and to give feedback on other children’s comments (Study 2), but in both studies, to ensure fidelity of the experimental conditions, the adult narrators did not provide corrective feedback or elaborate on the children’s answers. Results on measures of different facets of word learning indicated that asking questions resulted in better vocabulary learning than simply reading the stories aloud. However, in contrast to proposed hypotheses and across both studies, different types of question demand level and placement did not exert differential effects and they did not interact with children’s general vocabulary knowledge or memory skills. Thus, both studies suggest that those two types of questions features have no impact on children’s vocabulary learning, if questions are not followed up by narrator feedback and elaborations. However, whether different types of question placement and demand level produce differential learning gains through adult-child discussion following different questioning styles has still to be determined.
Taken together, the four studies of the present doctoral thesis underline the central role that adults play for successful story sessions with young children not only for engaging children in the story but also for extending and for correcting their utterances. Although the presented studies extend existing knowledge about methods of story delivery and questioning styles during story sessions, further research needs to examine the impact of questioning styles on word learning through subsequent adult-child discussion and to gain a better understanding of the role of nonverbal narrator behavior during story delivery.
Knowing then defeating: The Ubiquitin activating enzyme, a promising target for cancer therapy
(2020)
Ubiquitin is a 76 amino acid long polypeptide, which is present throughout eukaryotes in a highly conserved fashion. Ubiquitin can modify proteins by becoming covalently attached to them. Eukaryotic cells employ ubiquitin to maintain and regulate fundamental cellular processes like protein degradation, the immune response and transcriptional and translational regulation. Transfer of ubiquitin to the substrate is achieved by the catalysis of three classes of enzymes namely E1, E2 and E3. Together these enzymes form a pyramidal hierarchy, where E1 stands at the apex and E3 enzymes form the base of the pathway.
The ubiquitin activating enzyme 1 (UBA1) plays a major role in ubiquitylation being the ubiquitin-dedicated E1 enzyme. In addition, it is the only enzyme in this pathway to use ATP as an energy source to catalyze two important reactions. The products of these reactions, ubiquitin adenylate and ubiquitin thioester, are the essential intermediate states of ubiquitin, for being conjugated to the target protein. With the help of X-ray crystallography and biochemical approaches, snapshots of multiple catalytic states of UBA1, where it is bound to Mg-ATP, ubiquitin and the E2 Ubc13 as substrates could be captured. With the help of these high-resolution crystal structures, deeper insights into the enzymatic mechanism of UBA1 could be attained. The resulting insights into the catalytic cycle were further validated by biochemical assays. It could be shown that ATP acts as a molecular switch to induce the enzyme’s open conformation. Ubiquitin-binding to the enzyme leads to domain rotations, which facilitate the recruitment of a cognate E2 enzyme. The interdomain communication as well as the cross-talk with the substrates and the products fuel the enzymatic cycle of UBA1.
Due to the proven efficacy of proteasome inhibitors for cancer treatment, which block degradation of proteins labeled with ubiquitin, enzymes participating in the ubiquitylation cascade have been targeted by researchers for the development of novel anti-cancer therapeutics. UBA1 inhibition has been shown to preferentially induce cell death in malignant cells, and it can also be used as a strategy to overcome resistance against proteasome inhibitors. MLN7243, an adenosyl sulfamate inhibitor developed by Millenium Pharmaceutical to specifically target UBA1, is currently in Phase-I clinical trials for the treatment of solid tumors. UBA1 could be crystallized in complex with three adenosyl sulfamate inhibitors covalently linked to ubiquitin, which are promising drug candidates for cancer therapy. The inhibitors employed, MLN7243, MLN4924 and ABPA3, show distinct specificities towards different E1 enzymes. With the help of crystal structures the specificity determinants of these inhibitors could be deciphered, which were further confirmed by inhibition assays as well as molecular dynamics simulations. Together these crystal structures provide a starting point for developing E1-specific inhibitors, which, besides their potential for medicinal purposes, are important tools to better understand the function of the ubiquitin system as well as the action of ubiquitin-like proteins.
Acetylcholine (ACh) mediates transmission at vertebrate neuromuscular junctions and many other synapses. The postsynaptic ACh receptors at neuromuscular junctions are of the nicotinic subtype (nAChRs). They are among the best studied receptor channels and often serve as models or receptor prototypes. Despite a wealth of information on muscle type nAChRs so far little is known about species specific functional differences. In this work, mouse and human adult muscle type nAChRs are investigated.
Cell attached recordings in the HEK293T heterologous expression system provided evidence that the ACh affinity of recombinant mouse and human adult muscle type nAChRs are different. To clarify this, I compared these receptors in outside-out patches employing a system for fast agonist application. Thus, the individual membrane patches with receptors can be exposed to various ligand concentrations. In response to 10 and 30 µM ACh normalized peak currents (î) were significantly larger and current rise-time (tr) shorter in human than in mouse receptors. Analyzing dose-response curves of î and tr and fitting them with a two-step equivalent binding-site kinetic mechanism revealed a two-fold higher ACh association rate constant in human compared to mouse receptors. Furthermore, human nAChRs were blocked faster in outside-out patches by superfusion of 300 nM α-Bungarotoxin (α-Bgtx) than mouse nAChRs. Finally, human nAChRs in outside-out patches showed higher affinity at 3 µM ACh than chimeric receptors consisting of mouse α- and human β-, γ- and ε-subunits. The higher affinity of human than mouse receptors for ACh and α-Bgtx is thus at least in part due to sequence difference in their α-subunits.
Kinetics and timing of IL-12 production by dendritic cells for Th1 polarization \(in\) \(vivo\)
(2020)
Dendritic cell (DC) based vaccines rely on the quality of DC maturation to induce antigen presentation, co-stimulation, lymph node migration and the release of heterodimeric IL-12p70 in case of T helper type-1 cell (Th1) polarization. In contrast, DCs that cannot secrete IL-12p70 (e.g. after cytokine cocktail maturation) readily induce Th1 cells when injected into mice and humans. Since it was also previously suggested that DCs are capable of activating other DCs in a bystander fashion, we tested here for the DC source of IL-12p70 for Th1 polarization in a murine DC vaccination model. Migration of the injected murine bone marrow-derived DCs (BM-DCs) was essential for antigen delivery to the lymph node. However, they contributed only partially to antigen presentation, and induced a non-polarized Th0 state of the cognate T cells producing IL-2 but no IFN-. Instead, endogenous dermal migratory XCR1+ cDC1s underwent re-programming by the injected BM-DCs to acquire bystander antigen presentation and IL-12 release for Th1 polarization in the lymph node. Genetic deficiency of migratory DCs and specifically of XCR1+ migratory DCs completely abolished Th1 priming. The kinetic of cell interactions in the draining lymph nodes appeared step-wise as i) injected DCs with cognate T cells, ii) injected DCs with bystander XCR1+ DCs, and iii) bystander XCR1+ DCs with T cells. The transcriptome of the bystander DCs showed a down-regulation of Treg and Th2/Th9 inducing genes, and up-regulation of genes required for Th1 instruction. Together, these data show that injected mature lymph node migratory BM-DCs direct T cell priming and bystander DC activation, but not Th1 polarization which is mediated by endogenous IL-12p70+ XCR1+ migratory bystander DCs. Our results are of importance for clinical DC-based vaccinations against tumors where endogenous DCs may be functionally impaired by chemotherapy.
People who suffer Social Anxiety Disorder (SAD) are under substantial personal distress and endure impaired normal functioning in at least some parts of everyday life. Next, to the personal suffering, there are also the immense public health costs to consider, as SAD is the most common anxiety disorder and thereby one of the major psychiatric disorders in general. Over the last years, fundamental research found cognitive factors as essential components in the development and maintenance of social fears. Following leading cognitive models, avoidance behaviors are thought to be an important factor in maintaining the developed social anxieties. Therefore, this thesis aims to deepen the knowledge of avoidance behaviors exhibited in social anxiety, which allows to get a better understanding of how SAD is maintained.
To reach this goal three studies were conducted, each using a different research approach. In the first study cutting-edge Virtual Reality (VR) equipment was used to immerse participants in a virtual environment. In this virtual setting, High Socially Anxious (HSA) individuals and matched controls had to execute a social Approach-Avoidance Task (AAT). In the task, participants had to pass a virtual person displaying neutral or angry facial expressions. By using a highly immersive VR apparatus, the first described study took the initial step in establishing a new VR task for the implicit research on social approach-avoidance behaviors. By moving freely through a VR environment, participants experienced near real-life social situations. By tracking body and head movements, physical and attentional approach-avoidance processes were studied.
The second study looked at differences in attention shifts initiated by gaze-cues of neutral or emotional faces. Comparing HSA and controls, enabled a closer look at attention re-allocation with special focus on social stimuli. Further, context conditioning was used to compare task performance in a safe and in a threatening environment. Next to behavioral performance, the study also investigated neural activity using Electroencephalography (EEG) primarily looking at the N2pc component.
In the third study, eye movements of HSA and Low Socially Anxious (LSA) were analyzed using an eye-tracking apparatus while participants executed a computer task. The participants’ tasks consisted of the detection of either social or non-social stimuli in complex visual settings. The study intended to compare attention shifts towards social components between these two tasks and how high levels of social anxiety influence them. In other words, the measurements of eye movements enabled the investigation to what extent social attention is task-dependent and how it is influenced by social anxiety.
With the three described studies, three different approaches were used to get an in-depth understanding of what avoidance behaviors in SAD are and to which extent they are exhibited. Overall, the results showed that HSA individuals exhibited exaggerated physical and attentional avoidance behavior. Furthermore, the results highlighted that the task profoundly influences attention allocation. Finally, all evidence indicates that avoidance behaviors in SAD are exceedingly complex. They are not merely based on the fear of a particular stimulus, but rather involve highly compound cognitive processes, which surpass the simple avoidance of threatening stimuli. To conclude, it is essential that further research is conducted with special focus on SAD, its maintaining factors, and the influence of the chosen research task and method.
Gastrointestinal infections account for high morbidity and mortality in humans every year across the globe. The increasing emergence of antibiotic resistance among the gastrointestinal pathogens and the induction of virulence factors by antibiotics makes it highly risky to only depend on antibiotic therapy for intestinal infections. Most of these infections are associated with an imbalance in the gut microbial population whereas the restoration of the balance with probiotic supplements can result in an improvement of the health condition. Probiotics are therefore considered as successful support in the treatment of gastrointestinal infections.
E. coli Nissle 1917 (EcN) is the active component of the probiotic medication Mutaflor® and has been used in the treatment of various gastrointestinal disorders for more than 100 years. Several studies have reported antagonistic effects of EcN against enterohemorrhagic E. coli (EHEC) in vitro and in vivo. However, detailed investigations on the probiotic mechanisms and safety aspects of EcN are a pre-requisite, for administering EcN to treat EHEC infected patients or to use EcN as a prophylactic for the patient’s close contacts.
In this regard, the first part of the study aimed to understand the nature and behaviour of EcN in the presence of pathogenic or non-pathogenic E. coli strains. Transcriptomic analysis was deployed to this end. We investigated the changes in EcN’s transcriptome after different time points of coculture with the EHEC strain EDL933 or the K-12 strain MG1655. The transcriptome data reported a strain-specific response in EcN at all the investigated time points (3 h, 5 h, 7 h and 8 h) of coincubation. The alterations in gene regulation of EcN were highly pronounced in initial timepoints (3 h and 5 h) of coincubation with EDL933, which gradually decreased over time. In the presence of MG1655, the alterations were strongly differentially regulated only at later time points (7 h and 8 h). The unique transcriptional response of EcN towards two different E. coli strains, that are genetically more than 98 % identical, was startling.
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More importantly, this can be considered as a beneficial trait of EcN over a chemical-pharmaceutical preparation like an antibiotic that might act identically on all target cells.
Bacteriophages are one of the most abundant members of gut microbiota. On the one hand, the infection of a probiotic strain by a lysogenic phage could transfer genetic material coding for pathogenic factors or antibiotic resistance into an otherwise beneficial probiotic bacterium and thereby converting it into a virulent pathogenic bacterium. On the other hand, infection by a lytic phage could result in bacterial lysis and prevent the bacterium from exerting its probiotic effect. Thus, in order to successfully establish and colonise the gut, it is crucial for any probiotic to be resistant against phage infections. To address this, in the second part of the study, we investigated the phage resistance of EcN towards the lysogenic lambda and the lytic T4 phage.
EcN showed complete resistance against tested phages and was also able to inactivate these phages upon coincubation. In the case of lambda phages, the resistance was attributed to the presence of a lambdoid prophage (prophage 3) in the genome of EcN. In addition, the overexpression of one of the early genes of EcN’s prophage 3 (i.e. phage repressor gene pr) in the phage sensitive MG1655 conferred partial protection against lambda phage infection. Moreover, the inactivation was mediated by binding of lambda phages to its receptor LamB. Experiments with lytic T4 phages revealed that the EcN’s K5 polysaccharide capsule was crucial for its T4 phage resistance, while its lipopolysaccharide (LPS) inactivated the T4 phages. Apart from protecting itself, EcN displayed even a protective role for the tested K-12 strains, by interfering with the lysogeny and lysis by these phages.
In summary, this work highlights two novel positive traits of the probiotic strain EcN: i) the strain-specific response that was evident from the global transcriptome analysis of EcN when incubated with other E. coli strains, and ii) lytic and lysogenic phage resistance. Both these traits are additional safety aspects for a well-characterised probiotic strain and encourage its application in therapeutics.
Investigation of dynamic processes of prototypical class A GPCRs by single-molecule microscopy
(2020)
In this work, two projects were pursued.
In the first project, I investigated two different subtypes of opioid receptors, which play a key role as target for analgesia. A set of subtype specific fluorescent ligands for μ opioid receptor (MOR) and δ opioid receptor (DOR) was characterised and used to gain insights into the diffusion behaviour of those receptors. It was shown that the novel ligands hold photophysical and pharmacological properties making them suitable for single-molecule microscopy. Applying them to wild-type receptors expressed in living cells revealed that both sub-types possess a heterogeneous diffusion behaviour. Further- more, the fluorescent ligands for the MOR were used to investigate homodomerisation, a highly debated topic. The results reveal that only ≈ 5 % of the receptors are present as homodimers, and thus the majority is monomeric. G-protein coupled receptors (GPCRs) play a major role as drug targets. Accordingly, understanding the activation process is very important. For a long time GPCRs have been believed to be either active or inactive. In recent years several studies have shown, that the reality is more complex, involving more substates. [1, 2, 3, 4] In this work the α 2A AR was chosen to investigate the activation process on a single-molecule level, thus being able to distinguish also rare or short-lived events that are hidden in ensemble mea- surements. With this aim, the receptor was labelled intracellular with two fluorophores using supported membranes. Thus it was possible to acquire movies showing qualita- tively smFRET events. Unfortunately, the functionality of the used construct could not be demonstrated. To recover the functionality the CLIP-tag in the third intracellular loop was replaced successfully with an amber codon. This stop codon was used to insert an unnatural amino acid. Five different mutants were created and tested and the most promising candidate could be identified. First ensemble FRET measurements indicated that the functionality might be recovered but further improvements would be needed. Overall, I could show that single-molecule microscopy is a versatile tool to investigate the behaviour of typical class A GPCRs. I was able to show that MOR are mostly monomeric under physiological expression levels. Furthermore, I could establish intra- cellular labelling with supported membranes and acquire qualitative smFRET events.
The molecular chaperone Hsp90 facilitates the folding and activation of a wide array of structurally and functionally diverse client proteins. Hsp90 presents a central node of protein homeostasis and is frequently involved in the development of many human diseases. Although Hsp90 is a promising target for disease treatment, the mechanism by which Hsp90 facilitates client recognition and maturation is poorly understood.
The shape of the homodimeric protein resembles a molecular clamp that opens and closes in response to binding and hydrolysis of ATP. Structural studies reveal a network of distinct local conformational rearrangements that coordinate the slow transition into the hydrolysis-active, closed state configuration (time order of minutes). However, the kinetics of local conformational changes remain elusive because spectroscopic tools that can detect them have been missing so far.
Fluorescence quenching of extrinsic fluorophores by the natural amino acid Tryptophan is based on a photoinduced electron transfer (PET) reaction, which requires sub-nanometer contact between fluorophore and Tryptophan. This quenching mechanism has been developed into a 1-nm spectroscopic tool for the detection of rapid protein folding dynamics. Within the scope of this doctoral thesis, PET-reporter systems were designed to investigate the kinetics of local conformational motions that are part of the mechanistic core of the Hsp90 chaperone cycle. ATP-triggered kinetics of closure of the ATP-lid as well as swapping of the N-terminal ß-strand across subunits and association of the N-terminal and middle-domain were estimated in solution. Bulk experiments revealed that local motions occur on similar timescales and are in good agreement with the ATP-hydrolysis rate. Functional mutations demonstrated that local motions act cooperatively. Furthermore, the lid was shown to close via a two-step process consisting of a rapid lid-reconfiguration in direct response to ATP-binding, followed by slow closure of the lid. The co-chaperone Aha1 seems to act early in the chaperone cycle by remodelling of the lid and by stabilization of apo Hsp90 in a NM-domain pre-associated conformation.
A two-colour single-molecule PET microscopy method was developed to observe local motions at remote positions simultaneously and in real-time. Thus, directionality within the network of local conformational changes could be revealed. In a first attempt, the feasibility of detecting PET-complexes on the single-molecule surface was tested on Hsp90 constructs that report on only one motion (one-colour single-molecule PET microscopy). PET-quenched complexes could be distinguished from photobleached fluorophores through oxidation by molecular oxygen, resulting in fluorescence recovery. In two-colour experiments, a dimmed state was identified for PET-quenched complexes, but not for all of the used PET-reporter systems. Results suggest that local motions occur simultaneously within the time-resolution of the experiment (0.3 sec). Furthermore, bi-exponential kinetics of transition into the closed clamp configuration indicate a more complex mechanism of clamp-closure than of clamp-opening, which could be well described by a mono-exponential function.
Virtual reality and related media and communication technologies have a growing
impact on professional application fields and our daily life. Virtual environments
have the potential to change the way we perceive ourselves and how we interact
with others. In comparison to other technologies, virtual reality allows for the
convincing display of a virtual self-representation, an avatar, to oneself and also to
others. This is referred to as user embodiment. Avatars can be of varying realism
and abstraction in their appearance and in the behaviors they convey. Such userembodying
interfaces, in turn, can impact the perception of the self as well as
the perception of interactions. For researchers, designers, and developers it is of
particular interest to understand these perceptual impacts, to apply them to therapy,
assistive applications, social platforms, or games, for example. The present thesis
investigates and relates these impacts with regard to three areas: intrapersonal
effects, interpersonal effects, and effects of social augmentations provided by the
simulation.
With regard to intrapersonal effects, we specifically explore which simulation
properties impact the illusion of owning and controlling a virtual body, as well
as a perceived change in body schema. Our studies lead to the construction of
an instrument to measure these dimensions and our results indicate that these
dimensions are especially affected by the level of immersion, the simulation latency,
as well as the level of personalization of the avatar.
With regard to interpersonal effects we compare physical and user-embodied social
interactions, as well as different degrees of freedom in the replication of nonverbal
behavior. Our results suggest that functional levels of interaction are maintained,
whereas aspects of presence can be affected by avatar-mediated interactions, and
collaborative motor coordination can be disturbed by immersive simulations.
Social interaction is composed of many unknown symbols and harmonic patterns
that define our understanding and interpersonal rapport. For successful virtual
social interactions, a mere replication of physical world behaviors to virtual environments
may seem feasible. However, the potential of mediated social interactions
goes beyond this mere replication. In a third vein of research, we propose and
evaluate alternative concepts on how computers can be used to actively engage in
mediating social interactions, namely hybrid avatar-agent technologies. Specifically,
we investigated the possibilities to augment social behaviors by modifying and
transforming user input according to social phenomena and behavior, such as nonverbal
mimicry, directed gaze, joint attention, and grouping. Based on our results
we argue that such technologies could be beneficial for computer-mediated social
interactions such as to compensate for lacking sensory input and disturbances in
data transmission or to increase aspects of social presence by visual substitution or
amplification of social behaviors.
Based on related work and presented findings, the present thesis proposes the
perspective of considering computers as social mediators. Concluding from prototypes
and empirical studies, the potential of technology to be an active mediator of social
perception with regard to the perception of the self, as well as the perception of
social interactions may benefit our society by enabling further methods for diagnosis,
treatment, and training, as well as the inclusion of individuals with social disorders.
To this regard, we discuss implications for our society and ethical aspects. This
thesis extends previous empirical work and further presents novel instruments,
concepts, and implications to open up new perspectives for the development of
virtual reality, mixed reality, and augmented reality applications.
Objectives: The aim of this work is to define critical warning brainstem auditory evoked potential (BAEP) signs as a marker for the postoperative hearing outcome.
Study design: Retrospective study
Setting: Tertiary referral center
Patients: 162 patients who underwent resection of acoustic neuroma via a transtemporal approach with intraoperative monitoring (IOM) at the Department of Otorhinolaryngology, Plastic, Esthetic and Reconstructive Head and Neck Surgery, from January 2011 to December 2017.
Interventions: BAEP was performed in all patients; while intraoperative direct recording of the cochlear nerve function was done in 131 patients.
Main Outcome Measure: postoperative hearing thresholds (Pure tone audiometry).
Results: The most significant risk factor is the permanent loss of wave V as it increases the risk of postoperative hearing loss by 18 times; followed by three-steps increment of the stimulus intensity as it increases the risk by 5.75 times; and finally the response thresholds obtained during the intraoperative direct recording of cochlear nerve function. Each unite increment of the threshold increases the risk of postoperative hearing loss by 6.7%.
Conclusions: We believe that the intraoperative BAEP critical signs during IOM detected in this study can be used as a helpful tool to predict postoperative hearing loss in patients with acoustic neuroma.
Myeloid-derived suppressor cells (MDSCs) constitute of monocytic (M-MDSCs) and granulocytic cell subsets (G-MDSCs)and were initially described as suppressors of T-cell function in tumor microenvironments. Recent studies have shown the involvement of MDSCs in a number of infectious diseases including Mycobacterium tuberculosis (Mtb) infection. MDSCs are tremendously accumulated in patients with Mtb infection and exert a suppressive effect on T cell responses against mycobacteria. Mycobacterium bovis BCG, the only available vaccine against Mtb fails to protect against the adult pulmonary tuberculosis (TB). Understanding the mechanisms of MDSC suppression for immunity against mycobacterial infection will provide a rational basis to improve anti- TB vaccination and host-directed therapies against TB. In this study, we investigated the role of three lipid-rich components of the plasma membrane, Caveolin-1(Cav-1), Acid Sphingomyelinase (ASM) and asialo-GM1 on BCG-activated MDSCs.
Cav-1 is one of the vital components of caveolae (plasma membrane invaginations) which regulates apoptosis and lipid metabolism. In this work, we found that MDSCs upregulated Cav-1, TLR4 and TLR2 expression after BCG infection on the cell surface. However, Cav-1 deficiency resulted in a selective defect in the intracellular TLR2 accumulation in the M-MDSC, but not G-MDSC subset. Further analysis indicated no difference in the phagocytosis of BCG by M-MDSCs from WT and Cav1-/- mice but a reduced capacity to up-regulate surface markers, to secrete various cytokines, induce iNOS and NO production. These defects correlated with deficits of Cav1-/- MDSCs in the suppression of T cell proliferation. Among the signaling pathways that were affected by Cav-1 deficiency, we found lower phosphorylation of NF-kB and p38 mitogen-activated protein kinase (MAPK) in BCG - activated MDSCs.
ASM is an enzyme present in lysosomes and is translocated to the cell surface where it hydrolyzes sphingomyelin into ceramide. Flow cytometric studies revealed that MDSCs phagocytosed BCG independent of inhibiting ASMase using pharmacological inhibitors (amitryptiline or desipramine) or MDSCs from WT and ASM-/-. Suppression of ASMase or using ASM-/- MDSCs resulted in reduced NO production and decreased cytokine secretion by MDSCs in response to BCG. Furthermore, MDSCs inhibited by amitryptiline had impaired AKT phosphorylation upon BCG infection.
Asialo-GM1 is a ganglioside expressed on the cell surface of MDSCs reported to cooperate with TLR2 for activating ERK signaling. Here, in this study, we found that asialo-GM1 expression was upregulated specifically upon mycobacterial infection and not upon any other stimulus. We noted that the soluble form of asialo-GM1 bound to BCG. Flow cytometric studies revealed that blocking
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asialo-GM1 did not affect the phagocytosis of BCG into MDSCs. Furthermore, blocking of asialo- GM1 had no effect on the cytokine and NO secretion or AKT signaling.
Collectively, the data presented in this work implicated that Cav-1, ASM, asialo-GM1 are dispensable for the internalization of BCG. Rather, Cav-1 and ASM are required for the functional activation of MDSCs. Although asialo-GM1 binds to BCG, we did not find any difference in the functional activation of MDSCs after blocking asialo-GM1. This study provides insights into the role of lipid raft components of the MDSC cell membrane during mycobacterial infection.
Induction of ectopic bone formation by site directed immobilized BMP2 variants \(in\) \(vivo\)
(2020)
In contrast to common bone fractures, critical size bone defects are unable to self-regenerate and therefore external sources for bone replacement are needed. Currently, the gold standard to treat critical size bone fractures, resulting from diseases, trauma or surgical interventions, is the use of autologous bone transplantation that is associated with several drawbacks such as postoperative pain, increased loss of blood during surgery and extended operative time.
The field of bone tissue engineering focuses on the combination of biomaterials and growth factors to circumvent these adverse events and thereby to improve critical size bone defects treatment.
To this aim, a promising approach is represented by using a collagen sponge soaked with one of the most powerful osteoinductive proteins, the bone morphogenetic protein 2 (BMP2). After the approval by the Food and Drug Administration (FDA), BMP2 was used to successfully treat several severe bone defects. However, the use of BMP2 delivery systems is associated with severe side effects such as inflammation, swelling, ectopic bone formation outside of the site of implantation and breathing problems if implanted in the area of the cervical spine. The occurrence of severe side effects is related to the supraphysiological amounts of the applied protein at the implantation site. The BMP2 is typically adsorbed into the scaffold and diffuses rapidly after implantation. Therefore, intensive research has been conducted to improve the protein’s retention ability, since a prolonged entrapment of the BMP2 at the implantation site would induce superior bone formation in vivo due to a minimized protein release. By controlling the release from newly designed materials or changing the protein immobilization methods, it seems possible to improve the osteoinductive properties of the resulting BMP2-functionalized scaffolds.
The combination of biocompatible and biodegradable scaffolds functionalized with a covalently immobilized protein such as BMP2 would constitute a new alternative in bone tissue engineering by eliminating the aforementioned severe side effects. One of the most common immobilization techniques is represented by the so-called EDC/NHS chemistry. This coupling technique allows covalent biding of the growth factor but in a non-site direct manner, thus producing an implant with uncontrollable and unpredictable osteogenic activities. Therefore, the generation of BMP2 variants harboring functional groups that allow a site-directed immobilization to the scaffold, would enable the production of implants with reproducible osteogenic activity.
The new BMP2 variants harbor an artificial amino acid at a specific position of the mature polypeptide sequence. The presence of the unnatural amino acid allows to use particular covalent immobilization techniques in a highly specific and site directed manner. The two selected BMP2 variants, BMP2 E83Plk and BMP2 E83Azide, were expressed in E. coli, renatured and purified by cation exchange chromatography. The final products were intensively analyzed in terms of purity and biological activity in vitro. The two BMP2 variants enabled the application of different coupling techniques and verify the possible options for site directed immobilization to the scaffold.
Intensive analyses on the possible side effects caused by the coupling reactions and on the quantification of the coupled protein were performed. Both click chemistry reactions showed high reaction efficacies when the BMP2 variants were coupled to functionalized fluorophores. Quantification by ELISA and scintillation counting of radioactively labeled protein revealed different outcomes. Moreover, the amounts of protein detected for the BMP2 variants coupled to microspheres were similar to that of the wild type protein. Therefore, it was not possible to conclude whether the BMP2 variants were covalently coupled or just adsorbed.
BMP2 variants being immobilized to various microspheres induced osteogenic differentiation of C2C12 cells in vitro, but only in those cells that were located in close proximity to the functionalized beads. This selectivity strongly indicates that the protein is for a great portion covalently coupled and not just adsorbed. Moreover, the difference between the covalently coupled BMP2 variants and the adsorbed BMP2 WT was confirmed in vivo. Injection of the BMP2-functionalized microspheres in a rat model induced subcutaneous bone formation.
The main aim of the animal experiment was to prove whether covalently coupled BMP2 induces bone formation at significant lower doses if compared to the amount being required if the protein is simply adsorbed. To this aim, several BMP2 concentrations were tested in this animal experiment. The BMP2 variants, being covalently immobilized, were hypothesized to be retained and therefore bio-available at the site of implantation for a prolonged time. However, in the animal experiments, lower doses of either coupled or adsorbed protein were unable to induce any bone formation within the 12 weeks.
In contrast, the highest doses induced bone formation that was first detected at week 4. During the 12 weeks of the experiment, an increase in bone density and a steady state bone volume was observed. These results were obtained only for the covalently coupled BMP2 E83Azide but not for BMP2 E83Plk that did not induce bone formation in any condition. The negative outcome after application of BMP2 E83Plk suggested that the coupling reaction might have provoked changes in the protein structure that extremely influenced its osteogenic capabilities in vivo.
However, the histological examination of the different ossicles induced either by BMP2 WT or BMP2 E83Azide, revealed clear morphological differences. BMP2 WT induced a bone shell-like structure, while the covalently coupled protein induced uniform bone formation also throughout the inner part. The differences between the two newly formed bones can be clearly associated with the different protein delivery mechanisms. Thus, the developed functionalized microspheres constitute a new interesting strategy that needs further investigations in order to be able to be used as replacement of the currently used BMP2 WT loaded medical devices.
Serotonin (5-hydroxytryptamine, 5-HT) is a neurotransmitter involved in early
developmental processes such as cell proliferation, migration, and differentiation.
Recent research in humans showed that the brain 5-HT system and CDH13 are
interlinked in the genetics of neurodevelopmental disorders including attention-
deficit/hyperactivity disorder and autism spectrum disorder (Lesch et al., 2008;
Neale et al., 2008; Neale, Medland, Ripke, Anney, et al., 2010; Neale, Medland,
Ripke, Asherson, et al., 2010; Sanders et al., 2011; Sanders et al., 2015; Zhou et
al., 2008). This study introduces Cadherin-13 (CDH13), a cell adhesion protein, as
a contributor to the development and function of the 5-HT system. Our
experiments show that the absence of CDH13 increases the density of 5-HT
neurons in the developing dorsal raphe (DR) and increases the 5-HT innervation
of the prefrontal cortex in mouse embryonic stages. CDH13 is also observed in
radial glial cells, an important progenitor cell type linked to neuronal migration.
A three-dimensional reconstruction carried out with super-resolution microscopy,
identifies 5-HT neurons intertwined with radial glial cells, and CDH13 clusters at
contact points between these cells. This indicates a potential contribution of
CDH13 to the migration of DR 5-HT neurons. As CDH13 is strongly expressed in
5-HT neurons, we asked whether the selective deletion of CDH13 from these cells
is sufficient to generate the alterations observed in the Cdh13 constitutive
knockout mouse line.
In 5-HT conditional Cdh13 knockout mice (Cdh13 cKO) an increase in DR 5-HT
neurons in the embryonic and adult brains is observed, as well as 5-HT
hyperinnervation of cortical regions. Therefore, illustrating that the lack of CDH13
from 5-HT neurons alone impacts DR formation and serotonergic innervation.
Behavioral testing conducted on Cdh13 cKO mice showed delayed learning in
visuospatial learning and memory processing, as well as, changes in sociability
parameters. To find out how CDH13 localizes in human 5-HT neurons, CDH13 was
visualized in neurons that derived from human induced pluripotent stem cells
(iPSC). Super-resolution microscopy confirmed CDH13 expression in a subgroup
of induced human neurons positive for typical hallmarks of 5-HT neurons, such as
expression of Tph2, the neuron-specific tryptophan hydroxylase, and synaptic
structures. In summary, the work included in this thesis presents a detailed
analysis of CDH13 expression and localization in the 5-HT system and shows that
deletion of CDH13 from 5-HT neurons affects specific higher-order functions of the
brain.
Staphylococcus aureus is a Gram-positive commensal bacterium, that asymptomatically colonizes human skin and mucosal surfaces. Upon opportune conditions, such as immunodeficiency or breached barriers of the host, it can cause a plethora of infections ranging from local, superficial infections to life-threatening diseases. Despite being regarded as an extracellular pathogen, S. aureus can invade and survive within non-phagocytic and phagocytic cells. Eventually, the pathogen escapes from the host cell resulting in killing of the host cell, which is associated with tissue destruction and spread of infection. However, the exact molecular mechanisms underlying S. aureus-induced host cell death remain to be elucidated.
In the present work, a genome-wide haploid genetic screen was performed to identify host cell genes crucial for S. aureus intracellular cytotoxicity. A mutant library of the haploid cell line HAP1 was infected with the pathogen and cells surviving the infection were selected. Twelve genes were identified, which were significantly enriched when compared to an infection with a non-cytotoxic S. aureus strain.
Additionally, characteristics of regulated cell death pathways and the role of Ca2+ signaling in S. aureus-infected cells were investigated. Live cell imaging of Ca2+ reporter cell lines was used to analyze single cells. S. aureus-induced host cell death exhibited morphological features of apoptosis and activation of caspases was detected. Cellular H2O2 levels were elevated during S. aureus intracellular infection. Further, intracellular S. aureus provoked cytosolic Ca2+ overload in epithelial cells. This resulted from Ca2+ release from endoplasmic reticulum and Ca2+ influx via the plasma membrane and led to mitochondrial Ca2+ overload. The final step of S. aureus-induced cell death was plasma membrane permeabilization, a typical feature of necrotic cell death.
In order to identify bacterial virulence factors implicated in S. aureus-induced host cell killing, the cytotoxicity of selected mutants was investigated. Intracellular S. aureus employs the bacterial cysteine protease staphopain A to activate an apoptosis-like cell death characterized by cell contraction and membrane bleb formation. Phagosomal escape represents a prerequisite staphopain A-induced cell death, whereas bacterial intracellular replication is dispensable. Moreover, staphopain A contributed to efficient colonization of the lung in a murine pneumonia model.
In conclusion, this work identified at least two independent cell death pathways activated by intracellular S. aureus. While initially staphopain A mediates S. aureus-induced host cell killing, cytosolic Ca2+-overload follows later and leads to the final demise of the host cell.
Spinal muscular atrophy with respiratory distress type 1 (SMARD1) is a fatal monogenic motoneuron disease in children with unknown etiology caused by mutations in the immunoglobulin μ-binding protein 2 (IGHMBP2) gene coding for DNA/RNA ATPase/helicase. Despite detailed knowledge of the underlying genetic changes, the cellular mechanisms leading to this disease are not well understood. In the Nmd2J ("neuromuscular disorder") mouse, the mouse model for the juvenile form of SMARD1 patients, in which similar pathological features as diaphragmatic paralysis and skeletal muscle atrophy are observed. Ex vivo studies in Nmd2J mice showed that loss of the motor axon precedes atrophy of the gastrocnemius muscle and does not correlate with neurotransmission defects in the motor endplate. The already described independent myogenic anomalies in the diaphragm and heart of the Nmd2J mouse raised the question whether spinal motoneuron degeneration develops cell autonomously. Ighmbp2 is predominantly localized in the cytoplasm and seems to bind to ribosomes and polysomes, suggesting a role in mRNA metabolism.
In this Ph.D. thesis, morphological and functional analyses of isolated Ighmbp2-deficient (Ighmbp2-def.) motoneurons were performed to answer the question whether the SMARD1 phenotype results from dysregulation of protein biosynthesis. Ighmbp2-deficient motoneurons show only negligible morphological alterations with respect to a slight increase in axonal branches. This observation is consistent with only minor changes of transcriptome based on RNA sequencing data from Ighmbp2-deficient motoneurons. Only the mRNA of fibroblast growth factor receptor 1 (Fgfr1) showed significant up-regulation in Ighmbp2-deficient motoneurons. Furthermore, no global aberrations at the translational level could be detected using pulsed SILAC (Stable Isotope Labeling by Amino acids in cell culture), AHA (L-azidohomoalanine) labeling and SUnSET (SUrface SEnsing of Translation) methods. However, a reduced β-actin protein level was observed at the growth cones of Ighmbp2-deficient motoneurons, which was accompanied with a reduced level of Imp1 protein, a known β-actin mRNA interactor. Live-cell imaging studies using fluorescence recovery after photobleaching (FRAP) showed translational down-regulation of eGFPmyr-β-actin 3'UTR mRNA in the growth cones and the cell bodies, although the amount of β-actin mRNA and the total protein amount in Ighmbp2-deficient motoneurons showed no aberrations. This compartment-specific reduction of β-actin protein occurred independently of a non-existent direct IGHMBPF2 binding to β-actin mRNA. Fgfr1, which was upregulated on the RNA level, did not show an increased protein amount in Ighmbp2-deficient motoneurons, whereas a reduced amount could be detected. Interestingly, a correlation could be found between the reduced amount of the Imp1 protein and the increased Fgfr1 mRNA, since the IMP1 protein binds the FGFR1 mRNA and thus could influence the transport and translation of FGFR1 mRNA. In summary, all data suggest that Ighmbp2 deficiency leads to a local but modest disturbance of protein biosynthesis, which might contribute to the motoneuron defects of SMARD1.
In the context of this work, important trends in the influence of the metal center, coligand, and alkyne reaction partner on the iClick reaction of square-planar palladium(II) and platinum(II) complexes with a N^N^N, C^N^N, or S^N^N coordination sphere and a number of internal as well as terminal alkynes were elaborated. Preliminary bioactivity studies on a human cancer cell line gave low micromolar EC50 values, for the most promising compound comparable to cisplatin serving as a reference drug. The further application of the iClick reaction to bioconjugation will be explored in future work.
In this thesis we consider the hybrid quantum Monte Carlo method for simulations of the Hubbard and Su-Schrieffer-Heeger model. In the first instance, we discuss the hybrid quantum Monte Carlo method for the Hubbard model on a square lattice. We point out potential ergodicity issues and provide a way to circumvent them by a complexification of the method. Furthermore, we compare the efficiency of the hybrid quantum Monte Carlo method with a well established determinantal quantum Monte Carlo method for simulations of the half-filled Hubbard model on square lattices. One reason why the hybrid quantum Monte Carlo method loses the comparison is that we do not observe the desired sub-quadratic scaling of the numerical effort. Afterwards we present a formulation of the hybrid quantum Monte Carlo method for the Su-Schrieffer-Heeger model in two dimensions. Electron-phonon models like this are in general very hard to simulate using other Monte Carlo methods in more than one dimensions. It turns out that the hybrid quantum Monte Carlo method is much better suited for this model . We achieve favorable scaling properties and provide a proof of concept. Subsequently, we use the hybrid quantum Monte Carlo method to investigate the Su-Schrieffer-Heeger model in detail at half-filling in two dimensions. We present numerical data for staggered valence bond order at small phonon frequencies and an antiferromagnetic order at high frequencies. Due to an O(4) symmetry the antiferromagnetic order is connected to a superconducting charge density wave. Considering the Su-Schrieffer-Heeger model without tight-binding hopping reveals an additional unconstrained Z_2 gauge theory. In this case, we find indications for π-fluxes and a possible Z_2 Dirac deconfined phase as well as for a columnar valence bond ordered state at low phonon energies. In our investigations of the several phase transitions we discuss the different possibilities for the underlying mechanisms and reveal first insights into a rich phase diagram.
The ability to differentiate into mesenchymal lineages, as well as immunomodulatory, anti-inflammatory, anti-apoptotic, and angiogenic properties give ASCs great therapeutic potential. Through their culture as multicellular, three-dimensional spheroids this potential can even be enhanced. Accordingly, 3D spheroids are not only promising candidates for the application in regenerative medicine and inflammatory disease therapy, but also for the use as building blocks in tissue engineering approaches. Due to the resemblance to physiological cell-cell and cell-matrix interactions, 3D spheroids gain higher similarity to real tissues, what makes them a valuable tool in the development of bioactive constructs equivalent to native tissues in terms of its cellular and extracellular structure. Especially, to overcome the still tremendous clinical need for adequate implants to repair soft tissue defects, 3D spheroids consisting of ASCs are a promising approach in adipose tissue engineering. Nevertheless, studies on the use of ASC-based spheroids as building blocks for fat tissue reconstruction have so far been very rare. In order to optimally exploit their therapeutic potential to further their use in regenerative medicine, including adipose tissue engineering approaches, a 3D spheroid model consisting of ASCs was characterized extensively in this work. This included not only the elucidation of the structural features, but also the differentiation capacity, gene expression, and secretory properties. In addition, the elucidation of underlying mechanisms contributing to the improved therapeutic efficiency was addressed.
The impact of stories in their ability to shape our view on the world has long been a central topic in communication science and media psychology. While reading a book or watching a movie, we are transported into story worlds and we identify with depicted protagonists. Several studies showed that high levels of transportation lead to greater story-consistent beliefs. Similar effects were found for identification. However, much less is known how and in which direction stories could affect the self. Five experimental studies were conducted and summarized in three manuscripts. Manuscript #1 explored the moderating role of transportation that could shift one’s self-perception towards traits of a depicted story character (assimilation) or away from him/her (contrast). Manuscript #2 focused on downward social comparisons with a protagonist and possible contrast effects on participants’ self-perception in relation to others, their motives and behavior. Thereby, the mediating role of transportation and identification were investigated. Finally, upward social comparison with a protagonist and related emotions (e.g., envy) that mediate possible effects on one’s self perception and behavioral intentions were investigated in manuscript #3.
This dissertation project contributes to the literature on stories and the self. Consistent with previous work, assimilation effects were found for highly transported recipients. However, stories might also elicit contrast effects on recipients’ selves and behavioral intentions that are opposite to a depicted character. Extending prior research, there were evidence that transportation and envy are important process variables explaining assimilation vs. contrast effects.
How genomic and ecological traits shape island biodiversity - insights from individual-based models
(2020)
Life on oceanic islands provides a playground and comparably easy\-/studied basis
for the understanding of biodiversity in general. Island biota feature many
fascinating patterns: endemic species, species radiations and species with
peculiar trait syndromes. However, classic and current island biogeography
theory does not yet consider all the factors necessary to explain many of these
patterns. In response to this, there is currently a shift in island biogeography
research to systematically consider species traits and thus gain a more
functional perspective. Despite this recent development, a set of species
characteristics remains largely ignored in island biogeography, namely genomic
traits. Evidence suggests that genomic factors could explain many of the
speciation and adaptation patterns found in nature and thus may be highly
informative to explain the fascinating and iconic phenomena known for oceanic
islands, including species radiations and susceptibility to biotic invasions.
Unfortunately, the current lack of comprehensive meaningful data makes studying
these factors challenging. Even with paleontological data and space-for-time
rationales, data is bound to be incomplete due to the very environmental
processes taking place on oceanic islands, such as land slides and volcanism,
and lacks causal information due to the focus on correlative approaches. As
promising alternative, integrative mechanistic models can explicitly consider
essential underlying eco\-/evolutionary mechanisms. In fact, these models have
shown to be applicable to a variety of different systems and study questions.
In this thesis, I therefore examined present mechanistic island models to
identify how they might be used to address some of the current open questions in
island biodiversity research. Since none of the models simultaneously considered
speciation and adaptation at a genomic level, I developed a new genome- and
niche-explicit, individual-based model. I used this model to address three
different phenomena of island biodiversity: environmental variation, insular
species radiations and species invasions.
Using only a single model I could show that small-bodied species with flexible
genomes are successful under environmental variation, that a complex combination
of dispersal abilities, reproductive strategies and genomic traits affect the
occurrence of species radiations and that invasions are primarily driven by the
intensity of introductions and the trait characteristics of invasive
species. This highlights how the consideration of functional traits can promote
the understanding of some of the understudied phenomena in island biodiversity.
The results presented in this thesis exemplify the generality of integrative
models which are built on first principles. Thus, by applying such models to
various complex study questions, they are able to unveil multiple biodiversity
dynamics and patterns. The combination of several models such as the one I
developed to an eco\-/evolutionary model ensemble could further help to identify
fundamental eco\-/evolutionary principles. I conclude the thesis with an outlook
on how to use and extend my developed model to investigate geomorphological
dynamics in archipelagos and to allow dynamic genomes, which would further
increase the model's generality.
Genome-wide association studies revealed CLEC16A as a candidate gene for Type 1 Diabetes and multiple other autoimmune disorders. The function of CLEC16A remains unknown. However, previous work showed that the CLEC16A ortholog ema and the murine Clec16a were both implicated in autophagy, a process partially required for MHC class II loading and antigen presentation. Furthermore, studies could show that autophagy was required in thymic epithelial cells for antigen presentation during T cell selection, suggesting a possible role of CLEC16A in T cell selection in the thymus. Additionally, it was postulated that CLEC16A may function as an expression quantitative trait locus for its neighboring genes and that Clec16a KD was involved in pancreatic islet function and impaired insulin secretion and glucose homeostasis. Prior to this work, Schuster et al. had created a Clec16a KD NOD mouse, which was protected from spontaneous autoimmune diabetes.
For this work it was hypothesized that CLEC16A variation serves as a Type 1 Diabetes risk gene by affecting autophagy in thymic epithelial cells, which modulates antigen presentation and shapes the T cell repertoire. To expand and complement previous findings by Schuster et al., this thesis aimed to investigate how CLEC16A modifies the function of thymic epithelial cells. For this purpose, CLEC16A KD was induced in human cells via RNA interference and autophagy was studied through immunoblotting. Additionally, inflammation of pancreatic tissue in Clec16a KD NOD mice was scored using H.E. stained pancreatic sections. Thymic transplantation experiments were conducted to test whether the effects of Clec16a KD were T cell intrinsic. Also, intraperitoneal glucose tolerance tests were performed to study glucose homeostasis in Clec16a KD NOD animals. Finally, using qPCR, gene expression levels of neighboring genes such as Dexi and Socs1 were measured to study Clec16a as an expression quantitative trait locus.
In combination with the findings of Schuster et al., this thesis demonstrates that Clec16a KD reduces the severity of insulitis and protects from onset of spontaneous diabetes in the NOD mouse. Disease protection is conveyed by impaired autophagy in TEC, which leads to altered T cell selection and hyporeactive CD4+ T cells. The effects of Clec16a KD in the NOD mouse are thymus intrinsic. Glucose homeostasis remains unchanged in the Clec16a KD NOD mouse and plays no role in disease protection. Clec16a and Dexi presented similar expression levels, but further studies are required to investigate a clear link between these two genes. Finally, impaired autophagy could be replicated in human CLEC16A KD cells, which demonstrates a conserved function of CLEC16A and suggests a possible link between CLEC16A variation and risk of autoimmune disease in human.