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The Nodular lymphocyte-predominant Hodgkin lymphoma (NLPHL) as well as the T-cell/histiocyte-rich large B-cell lymphoma (THRLBCL) are rare types of malignant lymphomas. Both NLPHL and THRLBCL are frequently observed in middle-aged men with THRLBCL presenting frequently with an advanced Ann-Arbor stage with B-symptoms and associated with more aggressive courses.3 However, due to the limited number of tumor cells in the tissue of both NLPHL and THRLBCL, limited numbers of studies have been conducted on these lymphomas and current results are mainly based on general molecular genetic studies.
In order to obtain a better understanding for these disease forms as well as possible changes in their nuclear and cytoplasmatic sizes, the following study relied on the comparison of the different NLPHL forms and THRLBCL in terms of nuclear size and nuclear volume. This was carried out using both 2D and 3D analysis. During the 2D analysis of nuclear size and nuclear volume no significant differences could be presented between those groups. However, the 3D analysis of NLPHL and THRLBCL pointed out a slightly enlarged nuclear volume in THRLBCL. Furthermore, the analysis indicated a significantly increased cytoplasmatic size of THRLBCL compared to NLPHL forms. Nevertheless, differences occurred not only between the tumor cells of both disease forms, but also the T cells presented a larger nuclear volume in THRLBCL. B cells, which were considered as the control group, did not demonstrate any significant differences between the different groups. The presented results suggest an increased activity of T cells in THRLBCL, which is most likely to be interpreted as a response against the surrounding tumor cells and probably limits the proliferation of the tumor cells. Based on these results, the importance of 3D analysis is also evident due to the fact that it is clearly superior to 2D analysis. For a better understanding of both disease forms, it is therefore recommended to use the 3D technique in combination with molecular genetic analysis in future research.
How the brain evolved remains a mystery. The goal of this thesis is to understand the fundamental processes that are behind the evolutionary history of the brain. Amniotes appeared 320 million years ago with the transition from water to land. This early group bifurcated into sauropsids (reptiles and birds) and synapsids (mammals). Amniote brains evolved separately and display obvious structural and functional differences. Although those differences reflect brain diversification, all amniote brains share a common ancestor and their brains show multiple derived similarities: equivalent structures, networks, circuits and cell types have been preserved during millions of years. Finding these differences and similarities will help us understand brain historical evolution and function. Studying brain evolution can be approached from various levels, including brain structure, circuits, cell types, and genes. We propose a focus on cell types for a more comprehensive understanding of brain evolution. Neurons are the basic building blocks and the most diverse cell types in the brain. Their evolution reflects changes in the developmental processes that produce them, which in turn may shape the neural circuits they belong to. However, there is currently a lack of a unified criteria for studying the homology of connectivity and development between neurons. A neuron’s transcriptome is a molecular representation of its identity, connectivity, and developmental/evolutionary history. Hence the comparison of neuronal transcriptomes within and across species is a new and transformative development in the study of brain evolution. As an alternative, comparing neuronal transcriptomes across different species can provide insights into the evolution of the brain. We propose that comparing transcriptomes can be a way to fill this gap and unify these criteria. In previous studies, published in Science (Tosches et al., 2018) and Nature (Norimoto et al., 2020), we leveraged scRNAseq in reptiles to re-evaluate the origins and evolution of the mammalian cerebral cortex and claustrum. Motivated by the success of this approach, in this thesis we have now expanded single-cell profiling to the entire brain of a lizard species, the Australian dragon Pogona vitticeps, with a special focus in thalamus and prethalamus of. This approach allowed us to study the evolution of neuron types in amniotes. Therefore, we aimed to build a multilevel atlas of the lizard brain based on histology and transcriptomic and compare it to an equal mouse dataset (Zeisel et al., 2018).
Our atlas reveals a general structure that is consistent with that for other amniote brains, allowing us to make a direct comparison between lizard and mouse, despite their evolutionary divergence 320 million years ago. Through our analysis of the transcriptomes present in various neuron types, we have uncovered a core of conserved classes and discovered a fascinating dichotomy of new and conserved neuron types throughout the brain. This research challenges the traditional notion that certain brain regions are more conserved than others.
Our research also has uncovered the evolutionary history of the lizard thalamus and prethalamus by comparing them to homologous brain regions of the mouse. This pioneering research sheds new light on our understanding of the evolutionary history of the lizard brain. We propose a new classification of the lizard thalamic nuclei based on
transcriptomics. Our research revealed that the thalamic neuron types in lizards can be grouped into two large, conserved categories from the medial to lateral thalamus. These categories are encoded by a common set of effector genes, linking theories based on connectivity and molecular studies of these areas. In our data we have seen that there is a conservation of the medial-lateral transcriptomic axis in mouse and lizard, this conservation was most likely already present in the common ancestor. Although there is a shared medial-lateral axis, a deeper study of the thalamic cell types has allowed us to see the existence of a partial diversification of the thalamic population, specifically in the sensory-related lateral thalamus; in opposition, the medial thalamic nuclei neuron-types have been preserved.
On the other hand, the comparison with the mammalian prethalamus allowed us to confirm that the lizard ventromedial thalamic neuron types are homologous to mouse reticular thalamic neuron types (Díaz et al., 1994), even if they do not express the classical Reticular thalamic nucleus (RTn) marker PV/pvalb. We also discovered that there has been a simplification in the mammalian prethalamic neuron types in favor of an increase in the number of Interneurons (IN) types within their thalamus. We suggest that the loss of GABAergic neuronal types in the mammalian prethalamus is linked to the need for a more efficient control of the thalamo-pallial communication in mammals, while in lizards, where thalamo-pallial communication is probably simpler, the diversity prethalamus presents a higher diversity.
In our rapidly changing world, land use has been recognized as having one of the strongest impacts on species and genetic diversity. The present state of temperate forests in Europe is a product of decisions made by former and current management and policy actions, rather than natural factors. Alterations of crown projection areas, structural complexity of the forest stand caused by thinning and cuttings, and changes in tree species composition caused by regeneration or plantings not only affect forest interior buffering against warming, but also the understorey light environment and nutrient availability. Ultimately, current silvicultural management practices have deep impact on the forest ecosystems, microenvironmental changes and forest floor understorey herbs. In response to environmental changes, plants rely on genetically heritable phenotypic variation, an important level of variation in the population, as it is prerequisite for adaptation. However, until now most studies on plant adaptation to land use focus on grassland management. Yet, studies on the adaptation of forest understorey herbs to forest management have been absent so far. This is important because understanding adaptation of understorey herbs is crucial for biodiversity conservation, forest restoration, and climate change mitigation. Studying current adaptation of understorey herbs to forest management yields insights into the evolutionary consequences of management practices, which could be employed to improve sustainable use of forest habitat.
In sum, my conducted experiments complement each other well and managed to fill in research gaps on the topic of genetically heritable phenotypic variation in understorey herbs and how it is affected by forest management and related microenvironmental variables. I showed that forest management has direct evolutionary consequences on the genetic basis of understorey herbs, but also indirectly through the microenvironment. Furthermore, I revealed that local adaptation and phenotypic plasticity of understorey herbs to forest structural attributes act along continuous gradients. And lastly, I highlighted the important role of intra-individual variation by revealing plastic responses to drought and shading, urging researchers to not ignore this important level of trait variation. Ultimately, understorey herbs in temperate forests employ phenotypic plasticity as a flexible strategy to adapt to varying environmental conditions. By adjusting their leaf characteristics, reproductive investment, and phenology, they can optimize their fitness and survival in response to changes in light availability, resource availability, and seasonal cues. The anthropogenic impact on temperate forests and understorey herbs will continue and likely increase in the future. This should urge foresters to adapt their silvicultural management decisions towards the long-term preservation of genetic diversity and, through this, the evolvability and adaptability of forest understorey herbs and associated organisms. Based on the results shown in my dissertation, variation in forest management regimes and types could be beneficial for promoting genetic diversity within several species of forest understorey herbs. Lastly, in the face of future climatic changes, the mechanisms by which plants can cope with increasing stressful environmental conditions might very well rely heavily on intra-individual variation, providing the necessary rapid plastic adjustment to changing microclimatic conditions within populations and thus increase climate change resilience.
Lysosomes are major degradative organelles that contain enzymes capable of breaking down proteins, nucleic acids, carbohydrates, and lipids. In the last decade, new discoveries have traced also important roles for lysosomes as signalling hubs, affecting metabolism, autophagy and pathogenic infections. Therefore, maintenance of a healthy lysosome population is of utmost importance to the cell to respond to both stress conditions and also homeostatic signalling. For example, for minor perturbations to the lysosomal membrane, the cell activates repair processes which seal membrane nicks. For more extensive damage, autophagy is activated to remove damaged organelles from the cell. on the other hand, during pathogen invasion host cells have also evolved mechanisms to hijack the endolysosomal pathway to facilitate their own growth and replication in host cells.
The first part of the thesis work focuses on a lysosomal regeneration program which is activated under conditions where the entire lysosomal pool of the cell is damaged. Upon extensive membrane damage induced by the lysosomotropic drug LLOMe, the cell activates a regeneration pathway which helps in the formation of new functional lysosomes by recycling damaged membranes. I have identified the molecules important for this novel pathway of lysosomal regeneration and showed how the protein TBC1D15 orchestrates this process to regenerate functional organelles from completely damaged membrane masses in the first 2 hours following lysosomal membrane damage. This process resembles the process of auto- lysosomal reformation (ALR)- involving the formation of lysosomal tubules which are extended along microtubules and cleaved in a dynamin2 dependent manner to form proto-lysosomes which develop into fully functional mature lysosomes. These lysosomal tubules are closely associated with ATG8 positive autophagosomal membranes and require ATG8 proteins to bind to the lysophagy receptor LIMP2 on damaged membranes. This process is physiologically important under conditions of crystal nephropathy where calcium oxalate crystals induce damage to lysosomal membranes in nephrons in kidney disease.
The second part of the thesis shows how the endolysosomal system of the cell is hijacked by the bacteriaLegionella pneumophila. During Legionella infection the formation of conventional ATG8 positive autophagosomes are blocked due to the protease activity of the bacterial effector protein RavZ which cleaves lipidated ATG8 proteins from autophagosomal membranes. The SidE effectors of Legionella modify STX17 and SNAP29 by the process of non-canonical ubiquitination called phosphoribose-linked serine ubiquitination (PR-Ub). These proteins are essential for the formation of the autophagosomal SNARE complex which is used for fusion of the autophagosome with the lysosome. Upon Legionella infection, PR-UB of STX17 aids in formation of autophagosome-like replication vacuoles. ThesevacuolesdonotfusewiththelysosomebecauseSNAP29isalsoPR-Ubmodified. PR-UbofSTX17 and SNAP29 sterically blocks the formation of the autophagosomal-SNARE complex thereby preventing fusion of the autophagosome with the lysosome. As a result, Legionella can replicate in autophagosome- like vacuoles which do not undergo lysosomal degradation. In absence of PR-Ub modified STX17, bacterial replication is compromised when measured by bacterial replication assays in lung epithelial (A549) cells.
Taken together, this thesis highlights two important aspects of the autophagy-lysosomal system- how it responds to extensive membrane damage and its importance in Legionella pneumophila infection. Extensive damage to lysosomal membranes triggers a rapid regeneration process to partially restore lysosomal function before the effects of TFEB dependent lysosomal biogenesis becomes apparent. On the other hand, Legionella pneumophila infection segregates the lysosomes from the rest of the endo-lysosomal system by blocking autophagosome-lysosome fusion. Though lysosomes remain active, they are incapable of degrading pathogens since pathogen containing vacuoles do not fuse with the lysosome.
"Autonomy is the condition under which what one does reflects who one is" (Weinrib, 2019, p.8). This quote encapsulates the core idea of autonomy, namely the correspondence of one’s inner values with one’s actions. This is a beautiful idea. After all, who wants their actions to be determined or controlled from the outside?
The classical definition of autonomy is precisely about this independence from external circumstances, which Murray (1938) primarily coined. Among other things, Murray characterizes autonomy as resistance to influence and defiance of authority. Similarly, Piaget (1983) describes individuals as autonomous, independent of external influences, in their thinking and actions, and foremost, adult authority. Subsequent work criticized this equation of autonomy with separation or independence (Bekker, 1993; Chirkov et al., 2003; Hmel & Pincus, 2002). In lieu thereof, autonomy is defined as an ability (Chirkov, 2011; Rössler, 2017) and as an essential human need (Ryan & Deci, 2006). Focus is now
on self-governing while relying on rationally determined values to pursue a happy life (Chirkov, 2011). According to Social Determination Theory (SDT), autonomy is about a sense of initiative and responsibility for one’s own actions. The experience of interest and appreciation can strengthen autonomy, whereas experiences of external control, e.g., through rewards or punishments, limit autonomy (Ryan & Deci, 2020). In the psychological discourse of autonomy, SDT is strongly represented (Chirkov et al., 2003; Koestner & Losier, 1996; Weinstein et al., 2012). Notably, SDT distinguishes between autonomy and independence as follows. While a person can autonomously ask for help or rely on others, a person can also be involuntarily alone and independent. Interestingly, these definitions are again closer to its etymological meaning as self-governing, originating from Greek αυτòνoμζ (autonomous).
The two strands of autonomy as independence and autonomy as self-determination are also reflected in the vital differentiation into reactive and reflective autonomy by Koestner and Losier (1996). Resisting external influence, particularly interpersonal in fluence, is what reactive autonomy entails. This interpretation is closely related to the classical concept of autonomy as separation and independence from others (Murray, 1938). On the other hand, reflective autonomy concerns intrapersonal processes, such as self-governing or self-regulation, as defined in Self-Determination Theory (Ryan et al., 2021). In this dissertation, we investigated the concept in three different approaches while focusing on its assessment and operationalization: To begin, in Article 1, we compared the layperson’s and the scientific perspective to each other to gain insight into the characteristics of autonomy. Then, in Articles 2 and 3, we experimentally tested behavioral autonomy as resistance to external influences. Simultaneously, we investigated the link between various autonomy trait measures and autonomous behavior. As a result, in Article 2, we looked at how people reacted to the effects of message framing and sender authority on social distancing behavior during the early COVID-19 pandemic. Finally, in Article 3 we investigated the resistance to a descriptive norm in answering factual questions, in the context of autonomous personality. In our first article, we used a semi-qualitative bottom-up approach to gain insights into the laypersons’ perspective on autonomy and compare it to the scientific notion. We followed a design proposed by Kraft-Todd and Rand (2019) on the term heroism. We derived five components from philosophical and psychological literature: dignity, independence from others, morality, self-awareness, and unconventionality. In three preregistered online studies, we compared these scientific components to the laypersons’ understanding of autonomy. In Study 1, participants (N = 222) listed at least three and up to ten examples of autonomous (self-determined) behaviors. Here, the participants named 807 meaningful examples, which we systematically categorized into 34 representative items for Study 2. Next, new participants (N = 114) rated these regarding their autonomy. Finally, we transferred the five highest-rated autonomy and the five lowest-rated autonomy items to Study 3 (N = 175). We asked participants to rate how strongly the items represented dignity, independence from others, morality, self-awareness, and unconventionality. We found all components to distinguish between high and low autonomy items but not for unconventionality. Thus, we conclude that laypersons’ view corresponds with the scientific characteristics of dignity, independence from others, self-awareness, and morality. A qualitative analysis of the examples also showed that both reactive and reflective definitions of autonomy are prevalent.
Artificial intelligence in heavy-ion collisions : bridging the gap between theory and experiments
(2023)
Artificial Intelligence (AI) methods are employed to study heavy-ion collisions at intermediate collision energies, where high baryon density and moderate temperature QCD matter is produced. The experimental measurements of various conventional observables such as collective flow, particle number fluctuations, etc. are usually compared with expensive model calculations to infer the physics governing the evolution of the matter produced in the collisions. Various experimental effects and processing algorithms can greatly affect the sensitivity of these observables. AI methods are used to bridge this gap between theory and experiments of heavy-ion collisions. The problems with conventional methods of analyzing experimental data are illustrated in a comparative study of the Glauber MC model and the UrQMD transport model. It is found that the centrality determination and the estimated fluctuations of the number of participant nucleons suffer from strong model dependencies for Au-Au collisions at 1.23 AGeV. This can bias the results of the experimental analysis if the number of participant nucleons used is not consistent throughout the analysis and in the final model-to-data comparison. The measurable consequences of this model dependence of the number of participant nucleons are also discussed. In this context, PointNet-based AI models are developed to accurately reconstruct the impact parameter or the number of participant nucleons in a collision event from the hits and/or reconstructed track of particles in 10 AGeV Au-Au collisions at the CBM experiment. In the last part of the thesis, different AI methods to study the equation of state (EoS) at high baryon densities are discussed. First, a Bayesian inference is performed to constrain the density dependence of the EoS from the available experimental measurements of elliptical flow and mean transverse kinetic energy of mid rapidity protons in intermediate energy collisions. The UrQMD model was augmented to include arbitrary potentials (or equivalently the EoSs) in the QMD part to provide a consistent treatment of the EoS throughout the evolution of the system. The experimental data constrain the posterior constructed for the EoS for densities up to four times saturation density. However, beyond three times saturation density, the shape of the posterior depends on the choice of observables used. There is a tension in the measurements at a collision energy of about 4 GeV. This could indicate large uncertainties in the measurements, or alternatively the inability of the underlying model to describe the observables with a given input EoS. Tighter constraints and fully conclusive statements on the EoS require accurate, high statistics data in the whole beam energy range of 2-10 GeV, which will hopefully be provided by the beam energy scan programme of STAR-FXT at RHIC, the upcoming CBM experiment at FAIR, and future experiments at HIAF and NICA. Finally, it is shown that the PointNet-based models can also be used to identify the equation of state in the CBM experiment. Despite the uncertainties due to limited detector acceptance and biases in the reconstruction algorithms, the PointNet-based models are able to learn the features that can accurately identify the underlying physics of the collision. The PointNet-based models are an ideal AI tool to study heavy-ion collisions, not only to identify the geometric event features, such as the impact parameter or the number of participant nucleons, but also to extract abstract physical features, such as the EoS, directly from the detector outputs.
Electrospinning is an advanced method for the generation of polymer-based fibers. This fabrication technique has gained great interest in the biomedical field in recent years due to its straightforward application and significant versatility of the resulting fiber mats. The process is carried out by dissolving a (biologically or synthetically derived) polymer or a combination of several polymers in a suitable inorganic or organic solvent and transferring these solutions into a syringe with a needle tip as a spinneret. The power source is connected to the syringe tip, allowing for the application of a high voltage to the polymer solution, and a metallic collector, often a rotating drum cylinder on which the yielded polymer fibers are deposited. The usual fiber diameters range between nano- and micrometers. The yielded fiber mats have distinct characteristics, such as a large surface area, mechanical stability, and good encapsulation efficiency. Therefore, the fiber mats can be used as a topical dosage form for a multitude of diseases (e.g., conjunctivitis, keratitis), as they can be easily applied on or into the human body to release the drug for a prolonged period of time. In addition, the fibers exhibit a high degree of resemblance with the human extracellular matrix, which consists predominantly of collagen fibrils. Therefore, the obtained fiber mats can also be employed as innovative substrates for the cultivation of cells. As a result, electrospinning is suitable for a wide range of applications in the biomedical context, specifically for the targeted, topical delivery of bioactives and also as a cell culture substrate for the cultivation of cells in an enhanced in vivo relevant situation.
One objective of this work was the development and characterization of drug-loaded electrospun fibers for application to the inflamed and infected eye to complement the existing therapy of eye drops as well as systemic administration of anti-infectives. In particular, the focus of the project was the development of ocular implants to treat a herpes simplex infection affecting the human cornea. Additionally, electrospun fibers, which immediately dissolve in the tear fluid upon application and prolong the contact time of the bioactives at the eye, were developed as a topical dosage form to treat bacterial conjunctivitis. An additional objective of this work was the development of electrospun fiber mats as an innovative substrate for the cultivation of human induced pluripotent stem cells to mimic the human blood-brain barrier in vitro. The final objective of the present work was establishing an analytical concept for the comprehensive characterization of electrospun fibers to obtain a greater comparability and reproducibility of data and results from different laboratories.
Herpes simplex keratitis is a viral disease of the cornea that can potentially lead to blindness. This disease commonly occurs after corneal transplantation. As the cornea is the most transplanted tissue worldwide, the incidence of this disease varies from 4.9% to 12.6% (high- and low-income countries). The current therapy involves the application of eye drops as many as six times a day, and in severe cases, the systemic use of antiviral agents is necessary but can cause serious side effects (e.g., renal failure). To prevent the occurrence of herpes simplex keratitis after transplantation, a biodegradable electrospun nanofiber mat with a sustained release of acyclovir was established. The rational development of the fibers was facilitated by correlating the surface wettability with the release kinetics of the individual polymers, which allowed for the successful generation of fiber mats releasing the bioactive acyclovir over three weeks. The molecularly dispersed drug is present as an amorphous solid dispersion within the PLGA-based polymer matrix. Evaluating the cell viability in in vitro models proved that neither acyclovir nor the polymers or the generated fiber mats caused any cytotoxicity. The mechanical stability of the fiber mats was evaluated to ensure adequate handling of the fibers during implantation. The findings demonstrated that the fiber mats exhibit direction-independent mechanical properties, and their mechanical load-bearing capacity is greater than that of an excised human cornea. As a result, the fiber mats are suitable for surgical implantation into the anterior chamber of the eye. An in vitro model of human keratinocytes was infected with herpes simplex virus to demonstrate the antiviral efficacy of the electrospun fiber mats. Immunostaining for two specific viral proteins demonstrated the spread of infection in the model. Hereby, it was found that the placebo- and drug-loaded fibers significantly slowed the spread of infection, which was quantified by plaque assay determination. This experiment revealed that the electrospun fibers exert a synergistic antiviral effect by simultaneously releasing acyclovir, which is a virustatic agent that inhibits the replication of the virus in infected cells, and adsorbing released viral particles onto the surface of the polymer fibers. This reduces the overall burden of released viral particles, which is associated with the severity of the infection outbreak. Thus, with the aid of electrospinning, an ocular implant was successfully generated, which is biodegradable over time and significantly reduces the viral particle burden in vitro. Hence, the fibers represent a potential alternative for the prevention of herpes simplex keratitis after corneal transplantation...
Um sich an ändernde Umwelteinflüsse und metabolische Bedürfnisse anpassen zu können, ist es für Zellen essenziell, dass Boten-RNA (engl. messenger RNA, mRNA) stetig und schnell nach der Translation abgebaut wird. In Prokaryoten ist dafür der Proteinkomplex Degradosom verantwortlich, in dem Endo- und Exoribonukleasen RNase E und PNPase das RNA-Transkript in kleinere Fragmente und schließlich einzelne Nukleotide spalten. Die DEAD-Box Helikase RhlB im Komplex dient zusätzlich dazu, mögliche Sekundärstrukturen in der RNA zu entfalten, welche sonst die weitere Degradation behindern würden. Es konnte gezeigt werden, dass RhlB’s sehr geringe katalytische Aktivität – gemessen durch ATP-Verbrauch und Rate an entwundener RNA – signifikant durch die allosterische Bindung an Komplexpartner RNase E erhöht wird. Gleichzeitig deuten andere Studien darauf hin, dass RhlB eine mögliche Selektivität für doppelsträngige RNA-Substrate mit 5‘-Einzelstrang-Überhängen aufweist.
Diese Arbeit liefert neue Erkenntnisse in Bezug auf die Kommunikation zwischen den Degradosom-Komponenten RhlB und RNase E aus E. coli, indem das potenzielle Wechselspiel zwischen RhlBs RNA-Selektivität und der allosterischen Aktivierung durch RNase E untersucht wurde. Der vielseitige Einsatz NMR-spektroskopischer Techniken sowie die Verwendung kurzer RNA-Substrate mit spezifischen Strang-Eigenschaften ermöglicht es, mit einen ungewöhnlichen, RNA-zentrierten Ansatz an diese unzureichend verstandene Protein-Interaktion heranzugehen.
Zunächst wurden hierzu eine Reihe kurzer doppelsträngiger RNA-Konstrukte hergestellt, die sich nicht nur in ihren Einzelstrang-Merkmalen unterscheiden, sondern auch die thermodynamischen Anforderungen eines DEAD-Box Helikase Substrats erfüllen, und gleichzeitig eine ausreichende NMR-spektroskopische Signal-Zuordnung erlauben. Die thermale Stabilität, das Faltungsverhalten sowie die 1H Imino-protonen- und 13C HSQC-Zuordnungen aller geeigneten Konstrukte wurden erfolgreich bestimmt.
Um den Einfluss spezifischer RNA-Substrate sowie die Bindung zweier verschiedener RNase E Fragmente auf RhlBs ATP-Umsatzrate zu untersuchen, wurde sich zunächst eines photometrischen Phosphat-Assays bedient. Damit konnte deutlich gezeigt werden, dass RhlB in Abwesenheit des Komplex-Partners nicht in der Lage ist, signifikante Mengen an ATP umzusetzen, unabhängig davon, welches RNA-Konstrukt eingesetzt wird. Die Bindung der RNase E Fragmente erhöhte signifikant die ATP-Hydrolyse-Rate der Helikase, wobei die größte Aktivierung für den RNA-Duplex mit 5‘-Einzelstrang sowie ein einzelsträngiges Substrat zu beobachten ist. Da diese Ergebnisse deutlich eine RNA-Abhängigkeit beim ATP-Umsatz der Helikase zeigen, wurde untersucht, ob diese Unterschiede ihren Ursprung bereits in der Bindung der spezifischen RNA-Substrate haben. Mittels einer Mischapparatur, die es erlaubt die enzymatische Reaktion direkt im Spektrometer zu initiieren sowie zeitaufgelöster 31P NMR-Experimente konnte die allosterische Aktivierung der ATP-Hydrolyse-Rate von RhlB auch unter NMR-spektroskopischen Messbedingungen nachgewiesen werden.
Da die Ergebnisse des ATPase Assays deutlich eine RNA-Abhängigkeit bei der ATP-Umsatz-Rate der Helikase zeigen, wurde zusätzlich untersucht, ob diese Unterschiede ihren Ursprung in den Affinitäten für die verschiedenen RNA-Substrate haben und ob diese durch die Bindung von RNase E and RhlB beeinflusst werden. Um im gleichen Zuge zu überprüfen, ob die Bindung der RNA an RhlB die RNA-Konformation oder Basenpaarung ändert, werden 1H NMR-Titrationsexperimente durchgeführt. Es konnte erstmals gezeigt werden, dass RhlB eine inhärente Präferenz für Duplexe mit 5‘-Überhang gegenüber Konstrukten mit 3‘-Überhang oder stumpfen Enden besitzt, was sich in einer erhöhten Affinität zeigt. Zusätzlich offenbaren die Messungen, dass RNase Es allosterische Bindung selektiv die Affinität gegenüber Konstrukten mit Einzelstrang-Überhang erhöht, während die Affinität zu RNA Duplexen ohne Überhang sogar verringert wird. Diese Ergebnisse liefern erstmals einen Nachweis, dass RNase E aktiv Einfluss auf RhlBs RNA-Bindung nimmt. Weder die Bindung der RNA and RhlB noch an den RhlB/RNase E Komplex scheint die Basenpaarung oder Konformation der RNA-Substrate zu beeinflussen, da lediglich eine homogene Peak-Verbreitung aller Imino-Protonen-Signale im 1H NMR-Spektrum beobachtet werden konnte.
Die Zahl der gramnegativen Bakterien auf der WHO-Liste der Antibiotikaresistenzen hat in den letzten Jahrzehnten erheblich zugenommen. Schätzungen zufolge wird die Antibiotikaresistenz bis 2050 tödlicher sein als Krebs. Die äußere Membran gramnegativer Bakterien ist aufgrund ihres wichtigsten Strukturbestandteils, des Lipopolysaccharids (LPS), sehr anpassungsfähig an Umweltveränderungen. Das LPS macht gramnegative Bakterien von Natur aus resistent gegen viele Antibiotika und führt somit zu Antibiotikaresistenz. Der bakterielle ATP-bindende Kassettentransporter (ABC-Transporter) MsbA spielt eine entscheidende Rolle bei der Regulierung der bakteriellen Außenmembran, indem er das Kern-LPS durch ATP-Hydrolyse über die Innenmembran von gramnegativen Bakterien flockt. Darüber hinaus fungiert diese Floppase als Efflux-Pumpe, indem sie Medikamente durch die innere Membran transportiert, was sie zu einem interessanten Ziel für Medikamente macht. Vor kurzem wurden zwei verschiedene Klassen von MsbA-Inhibitoren entdeckt: (1) Tetrahydrobenzothiophene (TBT), die den LPS-Transport aufheben, und (2) Chinolinderivate, die sowohl die ATP-Hydrolyse als auch die LPS-Translokation blockieren. Darüber hinaus hat die Bestimmung der 3D-Struktur von MsbA durch Rontgen- und Kryo-EM mehrere interessante Zustände der Floppase ergeben. Die Kernspinresonanzspektroskopie ist eine hervorragende biophysikalische Methode zur Ergänzung der vorhandenen 3D-Strukturdaten. Insbesondere ermöglicht die Festkörper-NMR die Untersuchung von Membranproteinen in einer nativen Umgebung (z. B. in einer Lipiddoppelschicht). In der Vergangenheit hat unser Labor mithilfe der Festkörper-NMR einige detaillierte Mechanismen von MsbA aufgedeckt. Trotz der zahlreichen Fortschritte bei der Untersuchung der ABC-Transporterprotein-Superfamilie ist der spezifische Prozess der Substrattranslokation von MsbA noch immer unbekannt. Es wird angenommen, dass dieser Translokationsprozess über die Kopplungshelices (CHs) erfolgt, die sich zwischen der Transmembranregion (TMD) und der Nukleotidbindungsdomäne (NBD) befinden. Nukleotid-Bindungsdomäne (NBD). Zu diesem Zweck wird dem Zusammenspiel zwischen der TMD und der NBD über die CHs besondere Aufmerksamkeit gewidmet, mit dem Ziel, den Prozess der Substrattranslokation mithilfe von funktionellen Assays und Festkörper-NMR zu verstehen. Bei letzterem wurden spezifische Reporter in die CHs eingeführt, um Konformationsänderungen in 2D-spektroskopischen Daten zu verfolgen. Darüber hinaus wurde zeitaufgelöste NMR eingesetzt, um die Auswirkungen verschiedener Substrate in der TMD während der ATP-Hydrolyse in der NBD sichtbar zu machen. Die einzigartigen Reporter in den CHs haben Konformationsänderungen in bestimmten katalytischen Zuständen gezeigt. Darüber hinaus scheinen verschiedene Substrate die Kinetik der ATP-Hydrolyse zu beeinflussen. Die Ergebnisse zeigten, dass einige Substrate einen bevorzugten katalytischen Zustand innerhalb des ATP-Hydrolyse Zyklus aufweisen, der möglicherweise einen gekoppelten oder ungekoppelten Kinasemechanismus hat. Diese Ergebnisse könnten verschiedene Einblicke in die molekulare Struktur potenzieller neuer Antibiotika liefern.
RNA research is very important since RNA molecules are involved in various gene regulatory mechanisms as well as pathways of cell physiology and disease development.1 RNAs have evolved from being considered as carriers of genetic information from DNA to proteins, with the three major types of RNA involved in protein synthesis, including messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA).2 In addition to the RNAs involved in protein synthesis numerous regulatory non-coding RNAs (ncRNAs) have been discovered in the transcriptome. The regulatory ncRNAs are classified into small ncRNAs (sncRNAs) with transcripts less than 200 nucleotides (nt) and long non-coding RNAs (lncRNAs) with more than 200 nt.3
LncRNAs represent the most diverse and versatile class of ncRNAs that can regulate cellular functions of chromatin modification, transcription, and post-transcription through multiple mechanisms.4 They are involved in the formation of RNA:protein, RNA:RNA and RNA:DNA complexes as part of their gene regulatory mechanism.4,5 The RNA:DNA interactions can be divided into RNA:DNA heteroduplex formation, also called R-loops, and RNA:DNA:DNA triplex formation. In triplex formation, RNA binds to the major groove of double-stranded DNA through Hoogsteen or reverse Hoogsteen hydrogen bonding, resulting in parallel or anti-parallel triplexes, respectively. In vitro studies have confirmed the formation of RNA:DNA:DNA triplexes.6 However, the extent to which these interactions occur in cells and their effects on cellular function are still not understood, which is why these structures are so exciting to study (Chapter I RNA:DNA:DNA Triplexes).
This cumulative thesis investigates several functional and regulatory important RNAs. The first project involves the improved biochemical and biophysical characterization of RNA:DNA:DNA triplex formation between lncRNAs of interest and their target genes. Triplex formation was confirmed by a series of experiments including electromobility shift assays (EMSA), thermal melting assays, circular dichroism (CD), and liquid state nuclear magnetic resonance (NMR) spectroscopy. The following is a summary of the main findings of these publications.
In research article 5.1, the oxygen-sensitive HIF1α-AS1 was identified as a functionally important triplex-forming lncRNA in human endothelial cells using a combination of bioinformatics techniques, RNA/DNA pulldown, and biophysical experiments. Through RNA:DNA:DNA triplex formation, endogenous HIF1α-AS1 decreases the expression of several genes, including EPH receptor A2 (EPHA2) and adrenomedullin (ADM), by acting as an adaptor for the repressive human silencing hub (HUSH) complex, which has been studied by our collaborators in the groups of Leisegang and Brandes.
2) Triplex formation between HIF1α-AS1 and the target genes EPHA2 and ADM was investigated in biochemical and biophysical studies. The EMSA results indicated that HIF1α-AS1 forms a low mobility RNA:DNA:DNA triplex complex with the EPHA2 DNA target sequence. The CD spectrum of the triplex showed distinct features compared to the EPHA2 DNA duplex and the RNA:DNA heteroduplex. Melting curve analysis revealed a biphasic melting transition for triplexes, with a first melting point corresponding to the dissociation of the RNA strand with melting of the Hoogsteen hydrogen bonds. The second, higher melting temperature corresponds to the melting of stronger Watson-Crick base pairing. Stabilized triplexes were formed using an intramolecular EPHA2 DNA duplex hairpin construct in which both DNA strands were attached to a 5 nucleotide (nt) thymidine linker. This approach allowed improved triplex formation with lower RNA equivalents and higher melting temperatures. By NMR spectroscopy, the triplex characteristic signals were observed in the 1H NMR spectrum, the imino signals in a spectral region between 9 and 12 ppm resulting from the Hoogsteen base pairing. To elucidate the structural and sequence specific Hoogsteen base pairs 2D 1H,1H-NOESY measurements of the EPHA2 DNA duplex and the HIF1α-AS1:EPHA2 triplex were performed. The 1H,1H-NOESY spectrum of the HIF1α-AS1:EPHA2 triplex with a 10-fold excess of RNA was semi-quantitatively analyzed for changes in the DNA duplex spectrum. We discovered, strong and moderate attenuation of cross peak intensities in the imino region of the NOESY spectrum. This attenuation was proposed to result from weakening of Watson-Crick base pairing by Hoogsteen hydrogen bonding induced by RNA binding. The Hoogsteen interactions can be mapped based on the analysis of the cross peak attenuation in the NOESY spectra, which we used to generate a structural model of the RNA:DNA:DNA triplex. These biophysical results support the physiological function of HIF1α as a triplex-forming lncRNA that recruits the HUSH-epigenetic silencing complex to specific target genes such as EPHA2 and ADM, thereby silencing their gene expression through RNA:DNA:DNA triplex formation.