Open Access

Spatial navigation forms one of the core components of an animal’s behavioural repertoire. Good navigational skills boost survival by allowing one to avoid predators, to search successfully for food in an unpredictable world, and to be able to find a mating partner. As a consequence, the brain has dedicated many of its resources to the processing of spatial information. Decades of seminal work has revealed how the brain is able to form detailed representations of one’s current position, and use an internal cognitive map of the environment to traverse the local space. However, what is much less understood is how neural computations of position depend on distance information of salient external locations such as landmarks, and how these distal places are encoded in the brain. The work in this thesis explores the role of one brain region in particular, the retrosplenial cortex (RSC), as a key area to implement distance computations in relation to distal landmarks. Previous research has shown that damage to the RSC results in losses of spatial memory and navigation ability, but its exact role in spatial cognition remains unclear. Initial electrophysiological recordings of single cells in the RSC during free exploration behaviour of the animal resulted in the discovery of a new population of neurons that robustly encode distance information towards nearby walls throughout the environment. Activity of these border cells was characterized by high firing rates near all boundaries of the arena that were available to the animal, and sensory manipulation experiments revealed that this activity persisted in the absence of direct visual or somatosensory detection of the wall. It quickly became apparent that border cell activity was not only modulated by the distance to walls, but was contingent on the direction the animal was facing relative to the boundary. Approximately 40% of neurons displayed significant selectivity to the direction of walls, mostly in the hemifield contra-lateral to the recorded hemisphere, such that a neuron in left RSC is active whenever a wall occupies proximal space on the right side of the animal. Using a cue-rotation paradigm, experiments initially showed that this egocentric direction information was invariant to the physical rotation of the arena. Yet this rotation elicited a corresponding shift in the preferred direction of local head-direction cells, as well as a rotation in the firing fields of spatially-tuned cells in RSC. As a consequence, position and direction encoding in RSC must be bound together, rotating in unison during the environmental manipulations, as information about allocentric boundary locations is integrated with head-direction signals to form egocentric border representations. It is known that the RSC forms many anatomical connections with other parts of the brain that encode spatial information, like the hippocampus and para-hippocampal areas. The next step was to establish the circuit mechanisms in place for RSC neurons to generate their activity in respect to the distance and direction of walls. A series of inactivation experiments revealed how RSC activity is inter-dependent with one of its communication partners, the medial entorhinal cortex (MEC). Together they form a wider functional network that encodes precise spatial information of borders, with information flowing from the MEC to RSC but not vice versa. While the conjunction between distance and heading direction relative to the outer walls was the main driver of neural activity in RSC, border cells displayed further behavioural correlates related to movement trajectories. Spiking activity in either hemisphere tended to precede turning behaviour on a short time-scale in a way that border cells in the right RSC anticipated right-way turns ~300 ms into the future. The interpretation of these results is that the RSC’s primary role in spatial cognition is not necessarily on the early sensory processing stage as suggested by previous studies. Instead, it is involved in computations related to the generation of motion plans, using spatial information that is processed in other brain areas to plan and execute future actions. One potential function of the RSC’s role in this process could be to act correctly in relation to the nearby perimeter, such that border cells in one hemisphere are involved in the encoding of walls in the contralateral hemifield, after which the animal makes an ipsilateral turn to avoid collision. Together this supports the idea that the MEC→RSC pathway links the encoding of space and position in the hippocampal system with the brain’s motor action systems, allowing animals to use walls as prominent landmarks to navigate the room.

This cumulative thesis discusses the development of optimized force field parameters for Magnesium and resulting improved simulations of Magnesium-RNA interactions, including the in silico exploration of binding sites. This thesis is based on four publications as well as unpublished data. A fifth publication that was written during the time of the Ph.D. is discussed in the Appendix. This publication analyzes monovalent ion-specific effects at mica surfaces. Nucleic acids in general and RNA in particular are fundamental to life itself. Especially in the folding and function of RNA, metal cations are crucial to screen the negatively charged nucleic acid backbones to allow for complex functional structures. They stabilize the tertiary structure of RNA and even drive its folding. Furthermore, similarly to proteins, RNAs can catalyze multiple reactions, rather than consisting of the 20 amino acids of a protein, RNA constitues of only four different building blocks. Metal cations play an important role here as additional cofactors. One essential ion is Magnesium (Mg2+), commonly referred to as the most important cofactor for nucleic acids. Mg2+ carries two positive charges. Its comparably small size and high charge result in a high charge density that has strong polarizing effects on its surroundings. Furthermore, Mg2+ forms a sharply defined first hydration shell with an integer number of coordinating water molecules. As a result, an exclusion zone exists around the ion within which no water molecules are observed. Moreover, Mg2+ displays a high solvation free energy and a low exchange rate of waters from its first hydration shell. Finally, it contains a strong preference towards oxygens . Together, this makes Mg2+ a particularly well suited interaction partner for the charged non-bridging phosphate oxygens on nucleic acid backbones and explains its crucial biological role. The immense number of physiological and technological functions and applications indicates the significant scientific attention Mg2+ received. In experimental studies, however, severe difficulties arise for multiple reasons: Mg2+ is spectroscopically silent and cannot be detected directly by resonance techniques like NMR or EPR. Indirect observation is possible, either by detecting changes in the overall RNA structure with and without bound Mg2+, or by replacing the Mg2+ ion with another spectroscopically visible ion. In the latter, however, it cannot be guaranteed that the altered ion does not also alter the interaction site or even the whole structure [29–33]. Another detection method is X-ray crystallography, but here challenges arise from Mg2+ being almost indistinguish- able from other ions as well as from water if not for very high resolutions and precise stereochemical considerations. Alternatively, molecular dynamics (MD) simulations can be performed, with the power of adding atomistic insight to the interplay of metal cations and nucleic acids [35–38]. MD simulations, however, are only as accurate as their underlying interaction models and the development of accurate models for the description of Mg2+ faces challenges especially in describing three properties: (i) Polarizability. Commonly used simple models like the 12-6 type Lennard-Jones model typically fail to reproduce simultaneously thermodynamic and structural properties of a single ion in water. Alternative strategies include the use of a 12-6-4 type Lennard-Jones potential as proposed by Li and Merz, where the additional r−4 term explicitly accounts for polarization effects. The resulting Lennard-Jones potential is thereby more attractive and more long-ranged than for typical models of the 12-6 type. (ii) Kinetics. Most Mg2+ models either fully ignore considerations about the timescales on which water exchanges from the first hydration shell of the ion or use inappropriate methodology to calculate the underlying kinetics. A realistic characterization of the involved timescales is imperative to be able to describe a seemingly simple process like the transition from inner-to-outer sphere binding and vice versa. This transition governs most biochemical reactions involving Mg2+ and therefore subsequent processes can only by as fast as the transition itself. However, already the previous step – the exchange of a water from the first hydration shell of the ion – is described my current Mg2+ models up to four orders of magnitude too slowly, which makes the observation of such events on the timescale of a typical simulation difficult or even impossible. Alln ́er et al. [48] as well as Lemkul and MacKerell explicitly considered the exchange rate into their parameter optimization procedure. To compute the rate, both studies applied Transition State Theory along a single reaction coordinate – the distance towards one of the exchanging waters. However, it could be shown that the water exchange from the first hydration shell requires at least the consideration of both exchanging water molecules in order to be able to realistically record the underlying rate using Transition State Theory. Furthermore, the model of Alln ́er et al. significantly underestimates the free energy of solvation of the ion. (iii) Interactions between Mg2+ and nucleic acids. Typically, ionic force field parame- terization concentrates on the optimization of solution properties. The trans- ferability of these solution optimized parameters towards interactions with biomolecules, however, often fails.

In Vorarbeiten wurde gezeigt, dass der Kaliumkanal Slack an der Verarbeitung neuropathischer Schmerzen funktionell beteiligt ist und dass das klassische Neuroleptikum Loxapin Slack-abhängig neuropathisches Schmerzverhalten im Mausmodell lindert (Lu et al. 2015). Ausgehend von Loxapin als Leitstruktur wurden in der vorliegenden Arbeit im FluxOR™ Kaliumkanal-Assay an Slack-transfizierten HEK-Zellen insgesamt 68 neue Loxapin-Derivate gescreent. Hierbei wurden 23 Substanzen mit Slack-aktivierenden Eigenschaften identifiziert, von denen VHP93, VH408 und VH425 weiter in vivo untersucht wurden. Dabei zeigten Mäuse nach systemischer Gabe von VHP93 ein reduziertes Verhalten in einem Modell für neuropathische Schmerzen. Dem gegenüber wurde durch VH408 das Verhalten im neuropathischen Schmerzmodell nicht beeinflusst. Des Weiteren konnte in dieser Arbeit gezeigt werden, dass durch eine Slack-Aktivierung nicht nur neuropathisches Schmerzverhalten gehemmt wird, sondern auch die Kratzreaktionen im Chloroquin-Modell des Histamin-unabhängigen Juckreizes reduziert werden können. Neben Slack wurde in dieser Arbeit auch die Gewebsexpression und funktionelle Bedeutung des eng mit Slack verwandten Kaliumkanals Slick charakterisiert. Expressionsanalysen ergaben, dass Slick überwiegend in dünn myelinisierten A-delta-Fasern und inhibitorischen Interneuronen im Dorsalhorn des Rückenmarks lokalisiert ist. Tierexperimentelle Untersuchungen zeigten, dass Slick-Knockout-Mäuse ein erhöhtes Schmerzverhalten nach thermischer Stimulation aufwiesen. Außerdem wurde bei Slick-Knockout-Mäusen in der späten Phase des Capsaicin- und Formalin-Tests ein signifikant erhöhtes Leckverhalten verzeichnet. Die Ergebnisse dieser Arbeit liefern somit Hinweise auf eine funktionelle Beteiligung von Slick bei der Detektion von Hitzeschmerzen und bei der TRPV1- und TRPA1-vermittelten Schmerzantwort. Zusammengefasst zeigen diese Daten, dass Slick vorrangig an der Verarbeitung thermischer und chemischer Noxen beteiligt ist und dabei eine antinozizeptive Funktion ausübt.

This thesis comprises the usage of two commonly known hinge-binding moieties in drug discovery. First, the quinazoline scaffold of gefitinib (5) was utilized in a macrocyclization strategy to introduce selectivity. In general, the quinazoline hinge-binding moiety is a commonly used scaffold which can be found in 14% of approved kinase inhibitors. The most familiar applications are EGFR inhibitors such as gefitinib (5), erlotinib (6), afatinib, or dacomitinib for the treatment of NSCLC. But other kinases like CDK2, CDK4, or p38 are reported targets as well. The N-phenylquinazolin-4-amine moiety of gefitinib (5) was conserved however, the residues at the aromatic ring in the linker were modified, the residue targeting the solvent-exposed region was varied, and the linker at the C6 position of the quinazoline was adjusted to enable the macrocyclization. An overview of the structural modifications is shown in Figure 35A. Kinome-wide screening of gefitinib (5) revealed several off-targets besides EGFR (Figure 35B), making it an excellent starting point for a macrocyclization strategy. Introducing a linker to the N phenylquinazoline-4-amine scaffold and retaining the residues on the aromatic ring as well as the methoxy group targeting the solvent-exposed region improved the selectivity profile and the efficacy towards EGFR WT and its mutants. Truncation of the linker moiety led to the mutant selective macrocycle 26f with an excellent kinome-wide selectivity profile (Figure 35B). An inhibitor that is effective on EGFR mutations while ineffective on the EGFR WT could represent an enhancement of patient treatment, as it potentially causes less side effects. Further studies could determine the effect of the most promising macrocycles in lung cancer cell lines. Additionally, the pharmacokinetic properties could be optimized, e.g. by introducing solubilizing groups, targeting the solvent-exposed region. The second scaffold comprises the 3-aminopyrazole-based hinge-binding moiety. It is a privileged scaffold in medicinal chemistry for the development of kinase inhibitors. Previous publications report the anti-proliferative and anti-cancer potential of pyrazole-based molecules. They play a crucial role in the treatment of various diseases and cancer types like inflammation disorders, lymphoma, or breast cancer. This scaffold can be found e.g. in the aurora kinase inhibitor tozasertib or in the promiscuous kinase inhibitor 23, published by Statsuk et. al. Rescreening compound 23 in a comprehensive kinase panel against 468 human protein kinases confirmed the unselective behavior with a selectivity score of S35 = 0.56 (Figure 36B), making it a great starting point for further optimizations. The N-(1H-pyrazol-3-yl)pyrimidin-4-amine scaffold was conserved however, the residues targeting the solvent-exposed region were varied and different linkers were attached. The introduction of different residues at the pyrazole dramatically influenced the selectivity profile of the desired kinases. Ester moieties caused to a favorable combination of selectivity and potency towards the kinase of interest CDK16. The removal of additional residues at the pyrimidine, targeting the solvent-exposed region, increased the efficiency towards CDK16. Further optimization led to the highly potent and selective CDK16 inhibitor 98d (IC50 = 33 nM). NanoBRETTM screening against the complete CDK family revealed a preferred inhibition of the PCTAIRE and PFTAIRE subfamily with cellular IC50 values of 20 nM – 120 nM and 50 nM – 180 nM, respectively. A FUCCI cell cycle assay and viability assessment of 98d confirmed previously published results, reporting a G2/M cell cycle arrest followed by apoptosis and accumulation of p27 through knockout of CDK16 in SCC cells. Consequently, further studies could evaluate the anti-tumor activity of 98d in SCC and NSCLC or elucidate the effect of 98d in AMPK-related macroautophagy. 98d represents a novel tool compound to investigate the understudied kinases of the PCTAIRE family and enable to enlighten the biological role of those kinases. Macrocyclization of the N-(1H-pyrazol-3-yl)pyrimidin-4-amine core resulted in the selective BMPR2 inhibitor 110a. It showed a good binding affinity towards BMPR2 with a KD value of 205 nM as well as a good potency with an IC50 value of 506 nM. A comprehensive selectivity screen against 468 kinases revealed an excellent selectivity profile with S35 = 0.01. As no BMPR2 inhibitors have been published so far, 110a represents a novel compound that may provide further insights into the canonical BMP pathway, noncanonical signaling, or its impact on BMPR2-associated diseases like PAH. The introduction of additional residues targeting the solvent-exposed region shifted the selectivity towards the MST kinases. The exchange from the pyrimidine to a quinazoline moiety resulted in the highly potent and selective macrocyclic MST3 inhibitor 113c. NanoBRETTM measurements demonstrated the preferred inhibition of MST3 with IC50 values of 210 nM and 30 nM for intact and lysed cells, respectively. A weaker activity could be seen for MST4 with 1.8 µM and 510 nM, while MST1 and MST2 were not affected. To date, no selective MST3 inhibitors have been published, making 113c a valuable tool compound for further functional studies. As MST3 is influencing the cell cycle progression, 113c could be tested in a further cell cycle assay to elucidate the inhibitory effect of 113c on MST3 and consequently on the cell cycle. Furthermore, the anti-tumor activity of 113c in breast cancer could be determined, as Madsen et. al. reported a high MST3 and MST4 activity triggered by FAM40B mutations.

Electrospinning is a versatile and promising drug delivery technology for the development of tailor-made drug delivery systems for various clinical applications. By applying high voltages to drug-loaded polymer solutions, solid polymeric nanofibers can be generated, which encapsulate active pharmaceutical ingredients (APIs) into their polymer matrix. During the electrospinning process, the fibers are deposited on a collector and form a nonwoven network of drug-loaded polymer fibers. These fibers are spatially distributed in aligned or random orientation, providing the opportunity to design highly tunable structural and mechanical properties, which can be adapted to the biological requirements of the intended application site. The mechanically flexible fiber networks can therapeutically be administered to a multitude of pharmaceutical application sites. Their highly porous fiber structure exhibits a large surface-to-volume ratio, which is ideal for controlled drug release kinetics from the polymer matrix upon contact with biological fluids, such as tear fluid, saliva, mucus, wound exudate or gastro-intestinal fluid. For application at the target site, fiber mats are cut into patches. As the patch size determines the quantity of applied API, the electrospinning process must ensure homogeneous distribution of the API throughout the entire fiber mat area. In this thesis, electrospinning was established as a formulation technology for the rational fabrication of tailor-made multifunctional drug carrier systems for local and site-specific drug delivery to the epithelial interfaces skin, oral mucosa as well as cornea. For adequate characterization and analysis of the drug delivery systems, a broad panel of robust and predictive analytical tools, based of novel investigation techniques for physicochemical characterization of electrospun fibers, was developed. The initial part of the thesis thematically focuses on the development of predictive analytical techniques, to determine fiber morphology and physicochemical properties, as well as fiber composition and drug release. By designing two model formulations with contrasting properties, and subsequent analysis and characterization with a set of newly developed techniques and state-of-the-art methods, a comprehensive toolset has been made available and evaluated, aiming at advancing and standardizing respective techniques in the scientific field of electrospun drug delivery systems. Starting with the initiation of the electrospinning formulation process, which often relies on empirical data rather than analytical methods to predict successful processability, analysis of rheological properties of electrospinning solutions was used to rationally detect the minimum polymer concentration required for electrospinning. For analysis of fiber morphology, scanning electron microscopy is a common technique. However, little attention is given to underlying readout parameters. By analyzing the fiber orientation and diameter of the respective fibers, predictive results regarding mechanical properties could be obtained, which were subsequently confirmed by measuring elongation force with tensile testing. Confocal Raman microscopy, a label-free method for chemically- selective imaging of the fiber samples, was introduced as a complementary visualization technique, enabling the detection of fiber composition and drug distribution. A novel technique for investigation of water contact angles on the fiber surface of highly hydrophilic polymers was introduced, which provides predictive data regarding interaction with body fluids and the resulting drug release kinetics. Subsequent release testing in a newly developed setup for analyzing drug release from electrospun fibers in low-volume body compartments, confirmed the anticipated drug release kinetics from measurement of the surface hydrophilicity. By combining complementary analytical methods, including spectral composition analysis, morphology visualization, characterization of physico-chemical properties and drug release kinetics, as well as the application of multivariate data analysis, a robust and predictive toolset has been established, which can support comparability of future electrospinning studies and the translation from the lab bench into clinics. Based on the analytical toolset, the main part of the thesis focuses on the development and preparation of electrospun platform drug delivery systems for application on epithelial barriers. Electrospun fiber mats are thin, flat, and mechanically flexible, which allows close adherence to epithelial surfaces and reduction of diffusion paths, which enables efficient drug delivery to the skin, oral mucosa, as well as the cornea. Electrospun fibers bear a high potential for application as wound dressings, while simultaneously controlling the local delivery of APIs to the wound area. Their close resemblance to the extracellular matrix of human skin provides a suitable microenvironment for cellular proliferation and migration for wound closure. In this work, insulin, a fragile proteohormone with growth factor characteristics, was successfully encapsulated into the core of coaxially electrospun fibers, thus maintaining bioactivity throughout and after the electrospinning process. The shell has been designed from biocompatible polymers, which, upon contact with aqueous wound exudate, partially dissolve and form pores through which bioactive insulin is released in a controlled manner. The shell layer provides a hydrophilic surface for interaction with body fluids and skin cells, and possesses substantial mechanical strength, flexibility, and high tensile elongation required for application on wounds. The biocompatibility of the wound dressing was investigated by interaction with primary human dermal fibroblasts and keratinocytes, which displayed healthy cell morphologies without indicating any elevated levels of cytotoxicity markers. To investigate the effect of insulin on cell migration, in vitro scratch assays on human skin cells were performed. Increased cellular migration speed and wound closure could be observed, indicating improved wound healing. Bio relevance of in vitro wound healing potential results was advanced by development of 3D ex vivo human epidermal skin wound models from reduction surgery donor material. These complex wound models were treated with electrospun insulin fibers and analyzed by proteome analysis to reveal significant increases in wound healing-associated signaling pathways, which could be attributed to a material-driven remarkably positive impact on wound healing of the electrospun fibers...