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The EMT-transcription factor ZEB1 has been intensively studied in solid cancers, where it is expressed at the invasive front and in cancer-associated fibroblasts (CAFs). In tumour cells, ZEB1 has been involved in multiple steps of cancer progression including stemness, metastasis and therapy resistance, yet its role in the tumour-microenvironment is largely unknown. Here, the role of Zeb1 in CAFs was investigated using mouse models reflecting different tumour stages in immunocompetent fibroblast specific Zeb1 KO mice. Fibroblast-specific depletion of Zeb1 accelerated tumour growth in the inflammation driven AOM/DSS tumour initiation model, reduced tumour growth and invasion in the sporadic AOM/P53 model and reduced liver metastasis in a progressed orthotopic transplantation model. Immunohistochemical and single cell RNA-sequencing analysis showed that Zeb1 ablation resulted in attenuated expression of the myofibroblast marker aSMA and reduced ECM deposition, indicating a shift among fibroblast subpopulations. Modulation of CAFs was furthermore associated with increased inflammatory signaling in fibroblasts resulting in immune infiltration into primary tumours and exaggerated inflammatory signaling in T cells, B cells and macrophages. These changes in the tumour microenvironment were associated with increased efficacy of immune checkpoint inhibition therapy. In summary, Zeb1 expression in CAFs was identified as a potential target to block immunosuppression and metastatic dissemination in colon cancer.
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 This thesis is based on four publications as well as unpublished data.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. 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. 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.
Post-translational modifications (PTMs) of cell fate regulating proteins determine their stability, localization and function and control the activation of cell protective signaling pathways. Particularly in aberrantly dividing cancer cells the surveillance of cell cycle progression is essential to control tumorigenicity. In a variety of carcinomas, lymphomas and leukemias, the tumor-suppressive functions of the apoptosis- and senescence-regulating promyelocytic leukemia protein (PML) is controlled by numerous PTMs. PML poly-ubiquitylation and polySUMOylation at several lysine (K) residues induce PML degradation that is correlated to a progressive and invasive cancer phenotype. Besides several known E3 ubiquitin protein ligases that are involved in PML degradation, less is known about PML-specific deubiquitylases (DUBs), the respective DUB-controlled ubiquitin conjugation sites and the functional consequences of PML (de)ubiquitylation. Here, we show that the pro-tumorigenic DUB USP22 critically regulates PML protein stability by modifying PML residue K394 in advanced colon carcinoma cells in vitro and that this modification also impacts the homeostasis and function of the leukemia-associated mutant variant PML-RARα. We found that ablation of USP22 decreases PML mono-ubiquitylation and correlates with a prolonged protein half-live in colon carcinoma and acute promyelocytic leukemia (APL) cell lines. Additionally, silencing of USP22 enhances interferon and interferon-stimulated gene (ISG) expression in APL cells in vitro, which together with prolonged PML-RARα stability increases the APL cell sensitivity towards differentiation treatment. In accordance with the novel roles of USP22 as suppressor of the interferon response in human intestinal epithelial cells (hIECs), our findings imply USP22-dependent surveillance of PML-RARα stability and interferon signaling in human leukemia cells, revealing USP22 as central regulator of leukemia pathogenesis.
Solute carrier (SLC) are related to various diseases in human and promising pharmaceutical targets but more structural and functional information on SLCs is required to expand their use for drug design and therapy. The 7-transmembrane segment inverted (7-TMIR) fold was identified for the SLC families 4, 23 and 26 in the last decade thus detailed analysis of the structure function relationship of one of these families might also yield insights for the other two. SVCT1 and SVCT2 from the SLC23 family are sodium dependent ascorbic acid transporters in human but structural analysis of the SLC23 family is exclusively based on two homologs – UraA from E. coli and UapA from A. nidulans – yielding two inward-facing and one occluded conformation. In combination with outward-facing conformations from SLC4 transporters, and additional information from the SLC26 family, an elevator transport mechanism for all 7-TMIR proteins was identified but detailed mechanistic features of the transport remain elusive due to the lack of multiple conformations from individual transporters.
To increase the understanding of 7-TMIR protein structure and function in this study, the transport mechanism of SLC23 transporters was analyzed by two strategies including selection of alpaca derived nanobodies and synthetic nanobodies against UraA as prokaryotic model protein of the SLC23 family. The second strategy involved mutagenesis of UraA at functional relevant positions regarding the conformational change during transport. Therefore, available structures of 7-TMIR proteins and less related elevator transporters were analyzed and a common motif identified – the alpha helical inter-domain linkers. The proposed rigid body movement for transport in combination with the characteristic alpha helical secondary structure of the linkers connecting both rigid bodies led to the hypothesis of functional relevance of the linkers and a conformational hinge being located in close proximity to the linkers. These positions were identified and used to modulate the biophysical properties of the transporter. Mutagenesis at three relevant positions led to loss of transport functionality and these UraA variants could be recombinantly produced and purified to further examine the underlying mechanistic effects. The variants UraAG320P and UraAP330G from the periplasmic inter-domain linker showed increased dimerization and thermal stability as well as substrate binding in solution. The substrate affinity of UraAG320P was identified to be 5-fold higher compared to the wildtype. The solvent accessibility of the substrate binding site in UraAG320P and UraAP330G revealed reduced open probability that indicated an altered conformational space compared to UraAWT. This phenomenon was analyzed in more detail by differential hydrogen-deuterium exchange mass spectrometry and the results supported the hypothesis of a reduced open probability and gave further insights into the impact of the two mutations in the periplasmic inter-domain linker in UraA.
This thesis further presents strategies for phage display selection of nanobodies with epitope bias and a post selection analysis pipeline to identify nanobodies with desired binding characteristics. Thereby, whole cell transport inhibition highlighted periplasmic epitope binders and conformational selectivity. A cytoplasmic epitope could be identified by pulldown with inside-out membrane vesicles for one cytoplasmic side binder. Thermal stabilization analysis of the target protein in differential scanning fluorometry was performed in presence of two different nanobodies to identify simultaneous binding by additional thermal stabilization respectively competition by intermediate melting temperatures. Combination of epitope information with simultaneous DSF could be used to identify the stabilization of different UraA conformations by a set of binders and presents a general nanobody selection strategy for other SLCs. Synthetic nanobodies (sybodies) were also included in the analysis pipeline and Sy45 identified as promising candidate for co-crystallization that gave rise to UraAWT crystals in several conditions in presence or absence of uracil. Similar crystals could be obtained in combination with UraAG320P that were further optimized to gain structural information on this mutant. The structure was solved by molecular replacement and the model refined at 3.1 Å resolution confirming the cytoplasmic epitope of Sy45 as predicted by the selection pipeline. The stabilized conformation was inward-facing similar to the reported UapA structure but significantly different to the previously reported inward-facing structure of UraA. The structure further confirmed the structural integrity of the UraA mutant G320P. Despite the monomeric state of UraA in the structure, the gate domain aligned reasonably well with the gate domain of the previously published dimeric UraA structure in the occluded conformation and allowed detailed analysis of the conformational transition in UraA from inward-facing to occluded by a single rigid body movement. Thereby little movement in the gate domain of UraA was observed in contrast to a previously reported transport mechanism. Core domain rotation around a rotation axis parallel to the substrate barrier was found to explain the major part of conformational transition from inward-facing to occluded and experimentally supported the hypothesized mechanism by Chang et al. (2017). Additionally, the conformational hinge around position G320 in UraA could be identified as well as the impact of the backbone rigidity introduced by the highly conserved proline residue at position 330 in UraA on the conformational transition. This position was found to serve as anchoring point the inter-domain linker and determines the coordinated movement of inter-domain linker and core domain. The functional analysis further highlighted the requirement of alpha helical secondary structure within the inter-domain linker that serves as amphipathic structural entity that can adjust to changed core-gate domain distances and angles during transport by extension/compression or bending while preserving the rigid linkage.
The applied strategies to modulate the conformational space of UraA by mutagenesis at the hinge positions in the inter-domain linkers is transferrable to other transporters and might facilitate their structural and functional characterization.
Further, this study discusses the conformational thermostabilization of UraA that is based on increased melting temperatures upon restriction of its conformational freedom. The term ‘conformational thermostabilization’ introduced by Serrano-Vega et al. (2007) could be experimentally supported and the direct correlation between the conformational freedom and thermostabilization was qualitatively analyzed for UraA. The concept of conformational thermostabilization might help in characterization of other dynamic transport systems as well.
Mitochondria are important for cellular health and their dysfunction is linked to a variety of diseases, especially neurodegeneration. Thus, the renewal and degradation of dysfunctional mitochondria is crucial for the well-being of organisms. The selective digestion of damaged mitochondria via the lysosome (mitophagy), is the main pathway to do so.
In my dissertational work, I investigated the connection between protein misfolding, protein import into mitochondria and the degradation of mitochondria via mitophagy. Here, I present a new model for the initiation of mitophagy without collapse of the membrane potential. This model provides the link between protein import into mitochondria, stress signal transduction to the cytosol and the mitochondrial stress sensor PINK1. To comprehensively examine how mitophagy can be triggered, I performed a genome-wide CRISPR knockout screen utilizing the mitophagy reporter mitochondrial mKEIMA. Thereby, I observed numerous novel gene deletions that induce mitophagy. Prominently, I identified an accumulation of gene deletions of the protein import and of protein quality control factors. I validated several of those and examined HSPA9 (mitochondrial HSP70) and LONP1 (a mitochondrial matrix AAA protease) in more detail, regarding their effect on mitophagy and protein import. For this, I used an established fluorescence-based, mitochondrial-targeted EGFP, as well as a newly-developed pulsed-SILAC mass spectrometry approach (mePRODmt). Depletions of both genes resulted in reduced protein import and PINK1-dependent mitophagy. Strikingly, I did not observe any loss of mitochondrial membrane potential, which was hitherto believed to be essential for activation of PINK1-mediated mitophagy. Literature shows that certain mitochondrial stressors can also induce mitophagy without mitochondrial membrane depolarization, which I confirmed with my assays. Next, I characterized the impact of LONP1 and HSPA9 depletion, which are involved in proteostasis maintenance, and the mtHSP90 inhibitor GTPP on mitochondrial protein folding in more detail. GTPP treatment and LONP1 depletion both resulted in the accumulation of an insoluble protein fraction, as judged by proteomic analysis. This insoluble protein fraction enriched several components of the presequence translocase-associated motor PAM, including TIMM44. TIMM44 acts as a link between the translocon, the import pore of the inner mitochondrial membrane (TIM) complex and the PAM complex. Thus, I hypothesized that TIMM44 dissociates from the TIM complex upon protein folding stress, when it becomes part of the insoluble protein fraction. To validate this model, I measured the TIMM44 interactome upon proteostasis disturbance using proximity labeling. Indeed, interaction of TIMM44 with the import pore was almost completely abolished, explaining the loss of matrix-targeted import upon protein folding stress. From these findings, I reasoned that an import reduction mediated by the PAM complex would likely also inhibit the degradation of PINK1. Consistent with this hypothesis, I observed that mitophagy induced by HSPA9 or LONP1 deletion was prevented when PINK1 was genetically deleted. In comparison, non-processed PINK1 was stabilized on mitochondria in wild type cells when mitochondrial protein import was impaired. On this basis, I drew the conclusion that the loss of mitochondrial import was the stress signal, which leads to the stabilization of PINK1, as it could not be processed anymore via the inner mitochondrial membrane protease PARL. PINK1 auto-activates itself upon accumulation and signals to the cytosol that this mitochondrion is damaged. Mitophagy is subsequently initiated by the ubiquitin kinase activity of PINK1. As a result, the autophagy apparatus gets activated, damaged mitochondria are engulfed by a double membrane and removed via lysosomal digestion. This proposed model is, to the best of my knowledge, the first to provide an explanation for protein folding stress-induced and protein import inhibition-triggered mitophagy without mitochondrial depolarization. The model thus extends the PINK1/PARKIN-dependent mitophagy pathway to milder stresses and clears some of the open questions in the field. Furthermore, this work is also important, because protein misfolding stress and dysfunctional mitochondria are two hallmarks of neurodegeneration. In particular, mitochondrial protein import inhibition during Parkinson’s and Huntington disease might be driver of mitochondrial dysfunction. Hence, I hope and anticipate that the newly developed protein import method, mePRODmt, and the proposed model will be beneficial to further characterize underlying processes and to establish which factors prevent or drive these disorders on molecular level.
Die Beteiligung an Schlüsselfunktionen in zellulären Signalwegen macht Kinasen zu einem vielversprechenden Ansatzpunkt in der Wirkstoffentwicklung bei verschiedenen menschlichen Erkrankungen wie z.B. Krebs oder auch Autoimmun- und Entzündungskrankheiten. Die Prävention von post-translationalen Modifikationen durch Phosphorylierung und somit die Regulierung der nachgeschalteten Signalwege ist das Ziel von Kinaseinhibitoren. Die katalytische Aktivität von Kinasen ist abhängig von ATP, welches im hochkonservierten aktiven Zentrum bindet. Bedingt durch diese kinomweite hohe Konservierung stellt die Entwicklung von hoch selektiven ATP-mimetischen Inhibitoren eine Herausforderung dar. Typische ATP-Mimetika sind flach und die oft hydrophoben Moleküle weisen meist eine große Zahl an frei rotierbaren Bindungen auf. Um das aus dieser Flexibilität hervorgehende Problem der teils mangelnden Selektivität zu umgehen, kann eine bioaktive Konformation des Inhibitors durch Makrozyklisierung fixiert werden. Als Konsequenz dieser konformationellen Einschränkung können die entropischen Kosten während des Bindens reduziert werden und folglich zu einer gesteigerten Affinität gegenüber der Kinase führen.
Der Grundstein dieser Arbeit war der makrozyklische Pyrazolo[1,5-a]pyrimidin basierte FLT3 Kinaseinhibitor ODS2004070 (37). Im Rahmen eines kinomweiten Screenings konnten hohe Affinitäten zu verschiedensten Kinasen detektiert werden, was 37 zu einer guten Leitstruktur für das Design von potenten und selektiven Kinaseinhibitoren machte. Im Rahmen dieser Arbeit blieb das literaturbekannte Pyrazolo[1,5-a]pyrimidin basierte ATP-mimetische Bindemotiv sowie das makrozyklische Grundgerüst 37 bis auf einige wenige Variation unverändert.
Strukturelle Optimierungen zur Fokussierung der Selektivität wurden am sekundären Amin zwischen Bindemotiv und Linker als auch über die freie Carbonsäure durchgeführt. Mit einer Anzahl von mehr als 430 identifizierten Phosphorylierungsstellen ist die pleiotropisch und konstitutiv aktive Casein Kinase 2 (CK2) an verschiedensten zellulären Prozessen wie dem Verlauf des Zellzyklus, der Apoptose oder der Transkription regulatorisch beteiligt. Die Fehlregulation von CK2 wird häufig mit der Pathologie von Krankheiten wie zum Beispiel Krebs assoziiert, was CK2 zu einem vielversprechenden Ziel klinischer Untersuchungen macht.
Im Rahmen des CK2-Projekts war es möglich, durch spezifische Modifikationen an 37, die hoch selektiven und potenten CK2-Inhibitoren 47 und 60 zu entwickeln. Ebenfalls gezeigt wurde, dass kleine strukturelle Veränderungen, wie z.B. Makrozyklisierung, einen signifikanten Effekt auf Selektivität und Potenz des Inhibitors haben kann.
Weiter Untersuchungen der Verbindungen lenkten den Fokus weiterer Arbeiten u.a. auf die Serin/Threonin Kinase 17A (STK17A) oder auch death-associated protein kinase-related apoptosis-inducing protein kinase 1 (DRAK1) genannt. Sie ist Teil der DAPK Familie und gehört zusammen mit anderen Kinasen zu den weniger erforschten Kinasen. Bis heute ist nicht viel über ihre zellulären Funktionen und die Beteiligung an pathophysiologischen Prozessen bekannt. Berichtet wurde jedoch eine Überexpression in verschiedenen Formen von Hirntumoren des zentralen Nervensystems (Gliom). Strukturelle Modifikationen, unter Erhalt des makrozyklischen Grundgerüsts 37, führten zu dem hoch selektiven und potenten DRAK1 Inhibitor 121, der alle Kriterien für eine chemical probe Verbindung erfüllt.
Ein weiteres Ziel dieser Arbeit war die AP-2-assoziierte Protein Kinase 1 (AAK1) aus der NAK Familie, bestehend aus AAK1, BIKE und GAK. Sie ist als potenzielles therapeutisches Ziel für viele verschieden Krankheiten wie z.B. neuropathische Schmerzen, Schizophrenie und Parkinson identifiziert. Durch die Regulierung der Clathrin-mediierten Endozytose ist AAK1 an intrazellulären Bewegungen verschiedener nicht zusammenhängenden RNS- und DNSViren, wie beispielsweise HCV, DENV oder EBOV, beteiligt. Ebenfalls berichtet wurde eine mögliche Assoziation mit dem SARS-CoV-2 Virus, was das Interesse an neuen selektiven AAK1 Inhibitoren verstärkte. Die Entwicklung der hochpotenten und selektiven AAK1 Inhibitoren 61 und 63 basierte ebenfalls auf dem makrozyklischen Grundgerüst 37, das bereits im CK2- und DRAK1-Projekt verwendet wurde.
Zusammenfassend lässt sich sagen, dass es im Rahmen dieser Arbeit gelungen ist, ausgehend von einem höchst unselektiven makrozyklischen Grundgerüst, hochpotente und selektive Kinaseinhibitoren für CK2, DRAK1 und AAK1 zu entwickeln und zu charakterisieren. Im Zuge von Untersuchungen verschiedener Struktur-Wirkungsbeziehungen wurde gezeigt, dass es durch geringfügige strukturelle Modifikationen möglich ist, die kinomweite Selektivität zu variieren und auf eine Kinase zu fokussieren. Diese Arbeit brachte nicht nur die erwähnten Inhibitoren hervor, sondern bildet auch die Grundlage für weitere Projekte zur Entwicklung von hoch potenten und selektiven Verbindungen als potenzielle chemische Werkzeuge für den Einsatz in der Forschung.
Endolysosomal effectors and their relevance for antiviral activity against the Hepatitis E virus
(2021)
Mit über 20 Millionen registrierter Fälle pro Jahr, repräsentiert das Hepatitis-E-Virus (HEV) eine Hauptursache einer viralen Hepatitis weltweit und stellt ein erhebliches Risiko insbesondere für Schwangere und Immunsupprimierte dar. Jedoch sind Behandlungsoptionen stark limitiert und mit teils schweren Nebenwirkungen verbunden. Neue Erkenntnisse des Wechselspiels zwischen Wirtszelle und HEV werden deshalb benötigt, um neue antivirale Wirkstoffe zu entwickeln. Der Fokus der Arbeit wurde hierbei auf Effektoren des endosomalen Systems gesetzt, welches von HEV zur Freisetzung von Virionen genutzt wird.
Eine virale Infektion führt in der Zelle zur Produktion von Interferonen (IFNs) und weiters zu einer IFN-Antwort. Ein essenzielles Effektormolekül, welches HEV nachweislich effizient repressiert, ist die GTPase guanylate binding protein 1 (GBP1). In dieser Studie wurde beleuchtet, dass Letztere durch eine HEV-Infektion induziert wird. Zusätzlich reduziert die ektopische Expression von GBP1 sowohl die intrazelluläre Menge des HEV Kapsidproteins als auch die Menge freigesetzter Virionen. Mechanistisch liegt diesem Sachverhalt die GBP1-induzierte Inkorporation von Virionen in Lysosomen zugrunde, was schlussendlich deren Abbau nach sich zieht. Erkenntnisse über die Rolle verschiedener GBP1 Proteindomänen innerhalb des Mechanismus wurden unter Verwendung ektopischer Expression von GBP1-Mutanten erlangt. Inkorporation der Mutation R48A führt zum Verlust der GTPase-Aktivität. Andererseits führt eine Inkorporation der Mutation S73A zum Verlust der Homodimerisierung, was die nachfolgende Farnesylierung und gekoppelte Membranassoziation reduziert. Hierbei behält GBP1-R48A Fähigkeiten zur Induktion lysosomalen Abbaus von HEV bei, GBP1-S73A jedoch nicht. Dies wiederum bedeutet, dass eine GBP1 Homodimerisierung notwendig für den antiviralen Mechanismus ist, was eine Adapterfunktion des Moleküls für lysosomale Inkorporation nahelegt. Die Relevanz von GBP1 während einer IFNγ-Antwort wurde deshalb mittels siRNA-basiertem Silencing untersucht. Ähnlich der ektopischen Expression von GBP1 induziert IFNγ die lysosomale Degradation von HEV. In Abwesenheit von GBP1 jedoch, ist dieser Effekt signifikant geringer ausgeprägt, was zu einem Effizienzverlust von IFNy in Bezug auf dessen antiviralen Effekt bedeutet. Dies führte schlussendlich zur Identifizierung von GBP1 als essenziellen Restriktionsfaktor gegen HEV, was seine Rolle in Abhängigkeit seiner Homodimerisierung via Induktion lysosomalen Abbaus erfüllt.
Nebst der Induktion von GBP1, konnte eine Akkumulation von Cholesterin in Lysosomen durch IFNy nachgewiesen werden. Da dieses Lipid einen essenziellen Faktor für endosomale Reifung, Transport und Funktionalität darstellt, wurden Cholesterinspiegel und verbundene transkriptionelle Fußabdrücke im Kontext einer HEV Infektion untersucht. Letztere führt zu einer Dysregulation Cholesterin-assoziierter Genexpression, was eine Reduktion intrazellulären Cholesterins nach sich zieht. Auch in HEV infizierten Patienten liegt eine Abnahme des Serumcholesterins vor. Unter Modulation intrazellulären Cholesterins, wurde deutlich, dass die Inhibition der Cholesterinsynthese durch Simvastatin eine verstärkte Freisetzung von Virionen nach sich zieht, was ebenso in HEV infizierten Patienten nachweisbar war. Im Gegensatz hierzu zieht eine Erhöhung intrazellulären Cholesterins via Supplementierung von Lipoproteinpartikeln niedriger Dichte (LDL) oder 25-Hydroxycholesterin eine signifikante Reduktion des viralen Kapsidproteins und freigesetzter Virionen nach sich. Dem liegt eine verstärkte Inkorporation von HEV in Lysosomen mit anschließender Degradation zugrunde. Ob dieser Mechanismus pharmakologisch nutzbar ist, wurde mittels eines Screenings Lipid modulatorischer Medikamente untersucht. Der p-Glykoprotein Inhibitor PSC833 und besonders der PPARα-Agonist Fenofibrat stellten sich als äußerst effiziente Inhibitoren des HEV heraus. Beide führen zu einer Erhöhung und Akkumulation zellulären Cholesterins in vesikulären Strukturen. Dies zieht eine dramatische Erhöhung lysosomaler Lokalisation von HEV nach sich und führt letzten Endes zu einer signifikanten Reduktion freigesetzter Virionen.
Zusammenfassend konnten in dieser Studie essenzielle Funktionen von GBP1 in Bezug auf dessen restriktiven Effekt gegen HEV identifiziert werden. Weiters wurde dieses als entscheidender Wirtsfaktor für die IFNγ-Antwort gegen das Virus identifiziert. Andererseits legt diese Studie nahe, dass HEV niedrige Cholesterinspiegel innerhalb infizierter Zellen für die Freisetzung von Virionen benötigt. Andererseits sind erhöhte intrazelluläre Cholesterinspiegel schädlich für die virale Freisetzung, da der lysosomale Abbau von Virionen induziert wird. Dies führte zur erfolgreichen Entdeckung eines neuartigen antiviralen Wirkstoffes, welcher diesen cholesterinabhängigen Effekt effizient induziert: Fenofibrat.
Fokus meiner Doktorarbeit ist die Anwendung und Entwicklung NMR-spektroskopischer Methoden zur Charakterisierung zeitabhängiger Strukturänderungen von Biomolekülen – von lokalen dynamischen Veränderungen bis zur vollständigen Rückfaltung von Proteinen – und fasst die Ergebnisse meiner drei wichtigsten PhD-Projekte zusammen.
In meinem ersten Projekt habe ich die Leistung eines Temperatursprung-Probenkopfs – mit dem Proben mit hoher Salzkonzentration schnell erwärmt werden können – mithilfe einer Hochfrequenzspule technisch optimiert. Die optimierten Radiofrequenz-Bestrahlungsparameter, Lösungsmittel-bedingungen und der reduzierte Arbeitszyklus führten zu einem Temperatursprung von 20 °C in 400 ms. Ich habe eine Cystein-freie Mutante von Barstar hergestellt, die nach Zugabe von Harnstoff bei 0 °C kalt denaturiert werden kann, während sie ihren gefalteten Zustand bei 30 °C hält. Dadurch wurde auch ermöglicht, dass der Rückfaltungsprozess hunderte Male ohne Abbau oder Aggregation wiederholt werden kann. Die Kombination von reversibler Rückfaltung und rascher Temperaturänderung des kalt denaturierten Barstars ermöglichte die Entwicklung eines neuen kinetischen Experiments, bei dem der Rückfaltungsprozess von Barstar mit einem zweidimensionalen Echtzeit-NMR in hoher Zeitauflösung untersucht wird. Die vollständige Rückgratresonanzzuweisung wurde sowohl für den gefalteten als auch für den kalt denaturierten Zustand von Barstar durchgeführt und ergab, dass in der denaturierten Form beide Prolin-Reste einen gemischten Konformationszustand aufweisen. Dabei befindet sich die Tyr47-Pro48-Amidbindung im ungefalteten Zustand hauptsächlich in trans-, während im gefalteten Zustand in der seltenen cis-Konformation. Das neue hochauflösende kinetische Experiment zeigte, dass die Rückfaltung von Barstar durch die trans-cis-Isomerisierung der Tyr47-Pro48-Amidbindung verlangsamt wird, was sowohl die Sekundärstruktur als auch die Bildung der Tertiärstruktur beeinflusst. Basierend auf diesen Ergebnissen konnte ich einen plausiblen Faltungsmechanismus für den langsamen Faltungsweg von kalt denaturiertem Barstar skizzieren. Durch Änderung der Zeitparameter des Heizungszyklus wurde erreicht, dass die Tyr47-Pro48-Amidbindung im ungefalteten Zustand in der cis-Konformation bleibt und daher der schnelle Faltungsweg dominant wird. Das Starten des Magnetisierungstransfers vor der Temperaturänderung ermöglichte die Aufzeichnung eines Spektrums, das den entfalteten Zustand mit dem gefalteten Zustand korreliert. Dieses Spektrum ermöglichte quantitative Analysen des schnellen Faltungsweges und lieferte sogar indirekte Hinweise auf einen Zwischenzustand. Diese Methode aus Kombination von schnellem Temperatursprung und Kaltdenaturierung zeigt ein hohes Potenzial, Proteinfaltung auf atomarer Ebene experimentell zu untersuchen und ein tieferes Verständnis verschiedener Faltungswege zu erlangen.
In meinem zweiten Projekt – das Teil einer interdisziplinären Forschung war – konzentrierte ich mich auf die NMR-spektroskopische Charakterisierung von Nukleinsäuren, die mit einer photolabilen Schutzgruppe modifiziert wurden. Zuerst wurde mithilfe homonuklearer Korrelationsexperimente eine vollständige Protonresonanzzuweisung erreicht. Danach wurde die relative Konfiguration der photolabilen Schutzgruppen bestimmt basierend auf einer dreidimensionalen Modellstruktur und spezifischer NOE-Korrelationen. Des Weiteren wurde ein Strukturmodell unter Verwendung von NOE-Einschränkungen berechnet. Dieses Strukturmodell zeigte eine eingeschränkte Rotation um die CN-Bindung zwischen dem Käfig und der Nukleobase. Das Modell zeigte auch, dass der Käfig in der Hauptrille positioniert ist und nicht in das Lösungsmittel herausklappt. Im Vergleich zu einem zuvor charakterisierten NPE-Käfig führte die erhöhte Größe zu einer weiteren Senkung des Schmelzpunkts, zeigte jedoch einen geringeren Schmelzpunktunterschied zwischen der S- und der R-Konfiguration des Käfigs, wobei die S-Konfiguration zu einer größeren Reduktion des Schmelzpunktes führt. Dieser Trend wurde weiter untersucht und durch ein Screening unterstützt. Durch selektive Wasserinversions-Rückgewinnungsexperimente konnte ich auch zeigen, dass der Käfig die lokale Stabilität nur bis zu einer Entfernung von zwei benachbarten Basenpaaren von der Modifikationsstelle verringert. Die NOE-Daten dienten auch als guter Bezugspunkt, um die Qualität molekulardynamischer Simulationen zu testen, mit denen zusätzliche Käfigdesigns untersucht wurden. Die Kombination aus Synthese, NMR-Spektroskopie und MD-Simulationen ermöglichte bis jetzt die detaillierteste Untersuchung des Effekts vom Einbau eines einzelnen Käfigs zur Destabilisierung der DNA-Sekundärstruktur. Dabei wurden Einschränkungen des möglichen Designs aufgedeckt, aber auch die Entwicklung einer neuen, effizienteren Struktur ermöglicht.
Mein drittes Projekt konzentrierte sich auf die Charakterisierung eines RNA-Modellsystems. NMR-spektroskopische Daten von kleinen RNA-Modellsystemen – wie NOE, skalare Kopplungen, kreuzkorrelierte Relaxationsraten und RDC – sind eine unschätzbare Referenz für MD-Simulationen, obwohl die Menge der verfügbaren Literaturdaten – bis jetzt – sehr begrenzt ist. ...
Autophagy, together with the ubiquitin-proteasome system, is the main quality control pathway responsible for maintaining cell homeostasis. There are several types of autophagy distinguished by cargo selectivity and means of induction. This thesis focuses on macroautophagy, hereafter autophagy, where a double-layered membrane is formed originating from the endoplasmatic reticulum (ER) engulfing cargo selectively or unselectively. Subsequently, a vesicle forms around the cargo, an autophagosome, and eventually fuses with the lysosome leading to degradation of the vesicle content and release of the cargo “building blocks”. Basal autophagy continuously occurs, unselectively engulfing a portion of the cytoplasm. However, autophagy can also be induced by stress such as starvation, protein aggregation, damaged organelles, intracellular pathogens etc. In this case, the cargo is selectively targeted, and the fate of the autophagosome is the same as in basal autophagy. In recent years, interest in identifying mechanisms of autophagy regulation has risen due to its importance in neurodegenerative diseases and cancer. Given the complexity of the process, its execution is tightly regulated from initiation, autophagosome formation, expansion, closure, and finally fusion with the lysosome. Each of the steps involves different protein complexes, whose timely activity is orchestrated by post-translational modifications. One of them is ubiquitination. Ubiquitin is a small, 76-amino acid protein conjugated in a 3-step reaction to other proteins, in a reversible manner, meaning undone by deubiquitinases. Originally described as a degradation signal targeting proteins to the proteasome, today it is known it has various additional non-proteolytic functions, such as regulating a protein’s activity, localization, or interaction partners. The role of ubiquitin in autophagy has already been shown. However, given the reversibility and fine-tuning of the ubiquitin signal, many expected regulators remain unidentified. This work aimed to identify novel deubiquitinating enzymes that regulate autophagy. We identified ubiquitin-specific protease 11 (USP11) as a novel, negative regulator of autophagy. Loss of USP11 leads to an increase in autophagic flux, whereas overexpression of USP11 attenuates it. Moreover, this observation was reproducible in model organism Caenorhabditis elegans, emphasizing the importance of USP11 in autophagy regulation. To identify the mechanism of USP11-dependent autophagy regulation, we performed a USP11 interactome screen after 4 hour Torin1 treatment and identified a plethora of autophagy-related proteins. Following the most prominent hits, we have investigated versatile ways in which USP11 regulates autophagy. USP11 interacts with the PI3KC3 complex, the role of which is phosphorylating lipids of the ER, thereby initiating the formation of the autophagosomal membrane. Phosphorylated lipids serve as a recruitment signal for downstream effector proteins necessary for the membrane expansion. The core components of the complex are VPS34, the lipid kinase, ATG14, the protein responsible for targeting the complex to the ER, VPS15, a pseudokinase with a scaffolding role, Beclin1, a regulatory subunit, and NRBF2, the dimer-inducing subunit. We have found USP11 interacts with the complex and, based on its activity, USP11 influences post-translational status of all the aforementioned subunits, except for ATG14. Moreover, we have found that loss of USP11 leads to an increase in NRBF2 levels, whereas it does not change the levels of the other proteins. Given that the dimerization of the complex leads to an increase in complex activity, we investigated if the complex is more tightly formed in the absence of USP11, and if it is more active. We have found both to be the case. Although the exact mechanism of USP11-dependent PI3KC3 complex regulation remains to be identified, we found that loss of USP11 stimulates the complex formation and activity, likely contributing to the general effect of USP11 on autophagy flux. Additionally, we found that USP11 modulates levels of mTOR, the most upstream kinase in autophagy initiation steps and general multifaceted metabolism regulator. Loss of USP11 led to downregulation of mTOR levels, suggesting USP11 may rescue mTOR from proteasome-mediated degradation. Furthermore, we found mTOR to be differentially modified depending on the activity of USP11. However, it remains to be shown if USP11-dependent mTOR regulation contributes to the observed autophagy phenotype. Taken together, USP11 is a novel, versatile, negative regulator of autophagy, and an important addition to our knowledge on the regulation of autophagy by the ubiquitin system.
The aim of this work was to establish a new way of predicting novel dual active compounds by combining classical fingerprint representation with state-of-the-art machine learning algorithms. Advantages and disadvantages of the applied 2D- and 3D-fingerprints were investigated. Further, the impact of various machine learning algorithms was analyzed. The new method developed in this work was used to predict compounds, which inhibit two different targets (LTA4H and sEH) involved in the same disease pattern (inflammation). The development of multitarget drugs has become more important in recent years. Many widespread diseases like metabolic syndrome, or cancer are of a multifactorial nature, which makes them hard to be treated effectively with a single drug. The new in silico method presented in this work can help to accelerate the design and development of multitarget drugs, saving time and efforts.
The nowadays readily available access to a large number of 3D-structures of biological targets and published activity data of millions of synthesized compounds enabled this study and was used as a starting point for this work. Four different data sets were compiled (crystalized ligands from the PDB, active and inactive compounds from ChEMBL23, newly designed compounds using a combinatorial library). Those data sets were collected and processed using an automated KNIME workflow. This automation has the advantage of allowing easy change and update of compound sources and adapted processing ways.
In a next step, the compounds from the compiled data sets were represented using a variety of well-established 2D- and 3D-fingerprints (PLIF, AtomPair, Morgan, FeatMorgan, MACCS). All those fingerprints share the same underlying bit string scheme but vary in the way they describe the molecular structure. Especially the difference between 2D- and 3D-fingerprints was investigated. 2D-fingerprints are solely based on ligand information. 3D-fingerprints, on the other hand, are based on X-ray structure information of protein-ligand complexes. One major difference between 2D- and 3D-fingerprints usage is the need for a 3D-conformation (pose) of the compound in the targets of interest when using 3D-fingerprints. This additional step is time-consuming and brings further uncertainties to the method.
Based on the calculated fingerprints state-of-the-art machine learning algorithms (SVC, RF, XGB and ADA) were used to predict novel dual active compounds. The models were evaluated by 10-fold cross validation and accuracy as the primary measure of model performance was maximized. Second, individual parameters of the four machine learning algorithms were optimized in a grid search to achieve maximal accuracy using the optimized partitioning scheme. Overall accuracies, regardless of fingerprint and machine learning algorithm, are slightly better for LTA4H than for sEH.
The goal to predict dual active compounds was realized by comparing the set of predicted to be active compounds for LTA4H and sEH. For the 3D-fingerprint PLIF the machine learning algorithm Random Forest was chosen, from which compounds for synthesis and testing were selected. Of 115 predicted to be active compounds, six compounds were cherry picked. Two compounds showed very good/moderate dual inhibitory activity. Of the 2D-fingerprints, the AtomPair fingerprint in combination with the machine learning algorithm Random Forest was chosen from which compounds were selected for synthesis and testing. 116 compounds were predicted to be dual active against LTA4H and sEH. One of those compounds showed good dual inhibitory activity.
In this work it was possible to show advantages and disadvantages of using 2D- and 3D-fingerprints in combination with machine learning algorithms. Both strategies (2D: ligand-based, 3D: structure-based) lead to the prediction of novel dual active compounds with moderate to very good inhibitory activity. The method developed in this work is able to predict dual active compounds with very good inhibitory activity and novel (previously unknown) scaffolds inhibiting the targets LTA4H and sEH. This contribution to in silico drug design is promising and can be used for the prediction of novel dual active compounds. Those compounds can further be optimized regarding binding affinity, solubility and further pharmacological and physicochemical properties.