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Funktionelle und strukturelle Charakterisierung von SLC-Transportern in eukaryotischen Systemen
(2018)
Die evolutionäre Voraussetzung für die Entwicklung komplexer, differenzierter Organismen bildet die Separierung der Zelle in Reaktionsräume, die so genannte Kompartimentierung. Das Prinzip der Kompartimentierung ermöglicht zahlreiche lebensnotwendige, biochemische Prozesse, wie die Konservierung von Energie durch Protonengradienten in der Atmungskette oder parallele, gegenläufige Stoffwechselwege. Zelluläre Kompartimente werden häufig durch Biomembranen gebildet, welche aus einer zweilagigen Lipidschicht bestehen. Lipidmoleküle in einer Zelle sind meistens amphipathisch, das bedeutet, sie bestehen aus einer polaren, hydrophilen Kopfgruppe und einem unpolaren, hydrophopen Ende (Abbildung 1). Die Lipidzusammensetzung in einer Biomembran ist sehr divers und unterscheidet sich in verschiedenen Organismen und Organellen. Phosphoglyceride bilden den Hauptbestandteil der Lipidschicht. Phosphoglyceride besteht aus einem Glycerin Rückgrat, welches an dem C1- und C2-Atom mit zwei Fettsäuren verestert und an dem C3-Atom mit einem Phosphorsäurediester verbunden ist. ...
Auswirkung der Chemisorption von Organothiolaten auf den elektrischen Widerstand dünner Goldfilme
(2018)
Hochgeordnete Monolagen von Organothiolaten auf Goldoberflächen bilden sich bei Kontakt einer Goldoberfläche mit einer Lösung eines Thiols oder Thioacetats spontan aus. Die Adsorption auf dünnen Metallfilmen mit Schichtdicken im Bereich von 25 - 100 nm führt zu einer Änderung des elektrischen Widerstandes des Films, die an Goldfilmen mit Schichtdicken von 25 - 40 nm über eine einfache Zweipunktmessung verfolgt wurde. Die Proportionalität der Widerstandsänderung mit der Menge an adsorbiertem Material konnte für die in dieser Arbeit verwendeten Dünnschichtsensoren bestätigt werden. Zu diesem Zweck wurden gleichzeitig Widerstands- und Oberflächenplasmonenresonanzmessungen an 40 nm starken Goldfilmen durchgeführt. In diesen Experimenten zeigt sich die Widerstandsmessung zur Beobachtung der Adsorptionskinetik als die überlegene Technologie.
Die durch Mikrokontaktdrucken und Freiätzen der gedruckten Strukturen hergestellten Sensoren zeigen eine individuelle Signalintensität. Die Normierung auf die maximale, durch Belegung mit Hexadecanthiol (HDT) oder Dodecanthiol erreichte, Signalstärke ermöglichte den Vergleich der maximalen Signalstärke von Thiolatmonolagen, die durch Belegung mit n-Alkanthiolen (CH_3(CH_2)_(n-1)-SH mit n = 12, 16, 19, 22 und 33, Cn), 11-Mercaptoundecyl-hexaethylenglycol (HSC11EG6OH), Adamantan-1-thiol (AdaSH), Triptycenthiol (TrpSH), Anthracen-2-thiol (Ant-0SH), Anthracen-2-alkanthiolen (Ant-(CH_2)_n-SH mit n = 1 - 5 und 10, Ant-nSH), p-Terphenyl-4-thiol (TP0SH), p-Terphenyl-4-alkanthiolen (TP-(CH_2)_n-SH mit n = 1 - 4, TPnSH) und p-Terphenyl-4-ethanthioacetat (TP2SAc) erzeugt wurden. Die Größe der Widerstandsänderung zeigt eine deutliche Abhängigkeit vom organischen Rest des Oberflächenadsorbats. Für die Verstärkung des Signals wurde die folgende Reihenfolge gefunden: Trp > Ada > Ant-0 > Ant-1 > TP0 > TP1 > Ant-2 > TP2 > Cn (n = 12 - 33) = C11EG6OH = Ant-n (n = 3 - 11) = TPn (n = 3, 4). Bei bekannter Verstärkung des Signals durch ein Adsorbat kann unabhängig von der Oberflächenrauigkeit die Oberflächenbedeckung durch Chemisorbate in einer Güte bestimmt werden, die der durch STM- und TEM-Messungen erreichten vergleichbar ist. Die Methode wurde angewendet, um Schichten von TP2SH und TP2SAc, die bei 20 und 60 °C aus ethanolischer Lösung abgeschieden wurden, zu vergleichen. Die Unterschiede in der Oberflächendichte, die durch eine Erhöhung der Abscheidungstemperatur zu beobachten sind, können durch eine Beschleunigung der Reaktion nach Arrhenius erklärt werden. Auch die Temperaturabhängigkeit der Abscheidungsgeschwindigkeit von HDT aus ethanolischer Lösung an Goldoberflächen, die in einem Bereich von -10 °C bis +30 °C betrachtet wurde, ist mit dem Arrhenius'schen Ansatz konform. Die Aktivierungsenergie der Adsorption von HDT auf Gold wurde auf E_a = 23 +-6 kJ/mol bestimmt.
Die Konzentrationsabhängigkeit der Abscheidung aus ethanolischer Lösung an Goldoberflächen wurde für HDT, AdaSH, TP2SH und TP2SAc untersucht. Um eine Präadsorption der Thiole vor dem eigentlichen Start der Messung zu verhindern, wurde eine Apparatur mit einem Diaphragma aus Aluminium entwickelt, das beim Start der Messung mit dem Sensor durchstoßen wird. Mit Ausnahme von TP2SH zeigen alle Adsorptive ein Adsorptions-Desorptions-Gleichgewicht. Die Adsorptionsisothermen bei 20 °C lassen sich am besten durch die Freundlich-Isotherme beschreiben. Während die Reaktionsordnung im Adsorbat für die Adsorption der Thiole nahe an 1 liegt, hat sie für die Adsorption von TP2SAc einen Wert von ca. 1/4. Damit ergibt sich für die Geschwindigkeitskonstante der Adsorption k_a(HDT) = (2,3 +-0,2) 10^4 L/(mol s), k_a(AdaSH) = (6,1 +-0,2) 10^4 L/(mol s), k_a(TP2SH) = (7,3 +-0,4) 10^3 L/(mol s) und k_a(TP2SAc) = (8 +-3) 10^-2 L^(1/4)/(mol^(1/4) s). Die Adsorptionskurven der Thiole weisen bei Konzentrationen unterhalb von 5 10^-5 mol/L einen linearen Bereich auf, der einer zwischenzeitlichen Diffusionskontrolle zugeordnet wird.
An die aufgenommenen Adsorptionskurven der Thiole wurden literaturbekannte Modelle numerisch angepasst und teilweise weiterentwickelt. Die Anpassung konnte durch die Einführung einer vor der Oberfläche gelagerten Diffusionsgrenzschicht, in welcher der zeitabhängige Verlauf der Analytkonzentration in einem System von 10 Schichten berechnet wurde, deutlich verbessert werden. Von allen getesteten Modellen zeigt nur die Adsorption mit Ausschlussmuster keine Konzentrationsabhängigkeit der Geschwindigkeitskonstante der Desorption. Dieses Modell bezieht den Verlust von Adsorptionsplätzen mit ein, die einem besetzten Adsorptionsplatz benachbart sind und durch das adsorbierte Teilchen verdeckt werden. Der daraus resultierende Zusammenhang zwischen der Konzentration freier Adsorptionsplätze und dem Bedeckungsgrad der Oberfläche Theta_F(Theta) ist abhängig vom Verhältnis der Stoßfrequenz zwischen den Teilchen und der Oberfläche zur Platzwechselfrequenz der Teilchen auf der Oberfläche. Zur Bestimmung von Theta_F(Theta) für die numerische Anpassung der Adsorptionskurven von HDT und TP2SH wurde die Oberflächenbesetzung in einem Monte-Carlo-Verfahren für eine Konzentrationsreihe in Zehnerpotenzschritten simuliert.
Aim: Long noncoding RNAs (lncRNAs) belong to the interface of epigenetics and exhibit diverse functions. Their features depend on their sequence, genomic location and tertiary structure. The aim was to identify novel lncRNAs and characterise their physiological functions and mechanisms in endothelial cells. Three different approaches were performed:
The hypothesis that pseudogene-annotated lncRNA NONHSAT073641 regulates the expression of their parental gene platelet activating factor acetylhydrolase 1b regulatory subunit 1 (PAFAH1B1) was examined.
The physiological functions and in vivo relevance of most lncRNAs are still unknown, therefore a part of this work aimed to identify lncRNAs in response to a pathophysiological stimulus (high amplitude stretch) in endothelial cells.
The long intergenic noncoding RNA antisense to S1PR1 (LISPR1) gene, is located within the promotor of sphingosine-1-phosphate receptor 1 (S1PR1) and shares a part of the promotor region. This study examined additionally the hypothesis that LISPR1 controls the S1PR1 expression in endothelial cells.
Methods: The angiogenic functions of NONHSAT073641 and LISPR1 were examined with spheroid-outgrowth and scratch wound assays. Furthermore, stretch experiments were performed in order to identify differently expressed lncRNAs in human umbilical vein endothelial cells (HUVECs). In addition, the in vivo relevance of both lncRNAs was examined in samples from pulmonary arterial hypertension patients. Knockdown (e.g. LNA GapmeRs), knockout (CRISPR/ Cas9) and overexpression experiments (e.g. CRISPR activation) were performed to analyse target genes. The molecular mechanism of LISPR1 was investigated with RNA and Chromatin immunoprecipitation.
Results: NONHSAT073641 and PAFAH1B1 exhibited angiogenic function in endothelial cells. It could be observed that NONHSAT073641 is not regulating the expression of PAFAH1B1. The pro-angiogenic feature of PAFAH1B1 might be attributed to the target gene matrix Gla protein (MGP). NONHSAT073641 and PAFAH1B1 were significantly induced in CTEPH samples and might be important in the development of this disease. It could be speculated that NONHSAT073641 is regulating the expression of the cell-cycle regulator BCL2L11 as has been investigated in mice.
LISPR1 is a cis-acting lncRNA which maintains S1PR1 gene transcription by intercepting the transcriptional repressor ZNF354C and enabling Polymerase II (PolII) to bind. ZNF354C regulates S1PR1 expression in HUVECs. However, the role of ZNF354C in pulmonary arterial hypertension (PAH) is unknown. LISPR1 and S1P1 receptor were both significantly depleted in COPD samples. It can be assumed that due to higher S1P production, the signalling is attenuated through reduction of the lncRNA LIPSR1 and thus the receptor S1P1.
The stretch experiments present a possible in vitro model in order to mimic the condition of endothelial cells during high blood pressure, such as in PAH. Referring to published data, it could be confirmed that stretching of endothelial cells alters the gene expression, which is on the other hand linked to cardiovascular disease. In cardiovascular disease mechanical stretch altered genes, which are participating in the vascular remodelling process. The role of differently expressed lncRNAs (TGFβ2-AS1, CTD-2033D15.2, INHBA-AS1, RP11-393I2.4, TAPT1-AS1, TPM1-AS1, CFLAR-AS1 and HIF1α-AS2) upon mechanical stretch is yet not clarified.
Conclusion: NONHSAT073641 and LISPR1 are important for the endothelial angiogenic function. Both lncRNAs were deregulated in PAH samples. The pathophysiological stimulus had an impact on the expression of different lncRNAs (e.g. TGFβ2-AS1) and pathways (e.g. TGF-β) in endothelial cells.
A necessary requirement for a pharmacological effect is that a drug molecule tightly interacts with its disease relevant target molecule in the patient. Kinases are regulatory, signal transmitting enzymes and are a large protein family that belongs to the most frequent targets of pharmaceutical industry, as deregulation of kinases has been associated with the development of a variety of diseases, including cancer. In drug discovery, equilibrium binding metrics such as the affinity (Ki, KD) or potency (IC50, EC50) are usually applied for the systematic profiling for potent and selective drug candidates. In recent years, dynamic binding parameters, the drugs association (kon) and dissociation (koff) rates for desired primary-targets and undesired off-targets, were discussed to be better predictors than steady-state affinity per se (KD = koff / kon) for the onset and duration of the drug-target complex in the open in vivo environment and thereby for the therapeutic effect and safety of the drug. It is yet unclear whether and when the binding kinetics parameters can influence drug action in the complex context of pharmacokinetics and pharmacodynamics and how the kinetic rate constants can be optimized rationally. One major obstacle for providing proof for the hypothesis that drug binding kinetics is of importance for drug action is the generation of large and comparable binding kinetic datasets.
The aim of this thesis was the comprehensive analysis of the binding kinetic and affinity parameters of a diverse spectrum of 270 small-molecule kinase inhibitors against a panel of pharmacologically relevant kinases to study the role played by binding kinetics for drug discovery: The generated dataset was utilized to assess the effect of chemical properties on drug binding kinetics, and to evaluate the impact of kinetic rate constants on the success of compounds in the drug discovery pipeline.
Large scale profiling was made possible by a recently developed “kinetic Probe Competition Assay” (kPCA), whose evaluation is based on Motulsky’s and Mahan’s “kinetics of competitive binding” theory. Monte Carlo analyses performed in this dissertation widened the theoretical knowledge of this theory, provided new insights into its limitations and allowed to derive recommendations about how to best design assays. It was demonstrated that kPCA is indeed high-throughput compatible and that it is comparable to other biochemical and biophysical assay formats in terms of precision and accuracy.
Multivariable linear regression for the description of the determined kinase inhibitors’ target binding characteristics (kon or koff or KD) using molecular properties and/or particular kinase-inhibitor interactions as descriptors supported the assumption that molecular properties of compounds might affect binding kinetics, generated new hypothesis about molecular determinants influencing binding kinetic parameters and provided a rational basis for following structure-kinetic relationship studies. Remarkably, the binding kinetic rate constants were better described by the established models than binding affinities.
Interestingly, the systematic, quantitative analysis of kinase inhibitors’ target binding kinetics indicated that a slow dissociation rate for the main target is a feature which is more frequently observed in inhibitors that reached approval or late stage clinical testing than in earlier phases of clinical development. In addition, it was demonstrated that binding kinetics of kinase inhibitors is a better predictor for the time course of target engagement in cells as compared to affinity per se. Furthermore, in some study cases simulations using a standard pharmacokinetics model and a modified model considering the inhibitors binding kinetics lead to different in vivo kinase occupancy time profiles. It was illustrated by simulations how the concept of kinetic selectivity can be applied to turn an unselective compound in equilibrium conditions into a more selective compound in the open in vivo situation, where the thermodynamic equilibrium of drug-target binding is not necessarily reached.
Thus the generated data and models provide evidence for the importance of binding kinetics in drug discovery and represent a valuable resource for future studies in this field.
Protein biosynthesis is a conserved process, essential for life. Proteins are assembled from single amino acids according to their genetic blueprint in the form of a messenger ribonucleic acid (mRNA). Peptide bond formation is catalyzed by ancient ribonucleic acid (RNA) residues within the supramolecular ribosomal complex, which is organized in two dynamic subunits (Ramakrishnan, 2014). Each subunit comprises large ribosomal RNA (rRNA) molecules and several dozens of peripheral proteins. mRNA translation has been divided into three phases, namely translation initiation, elongation and termination in biochemistry textbooks. During initiation, the ribosomal subunits assemble into a functional ribosome on an activated mRNA and acquire the first transfer RNA (tRNA), an adapter between the start codon on the mRNA and the N-terminal methionine of the protein (Hinnebusch and Lorsch, 2012). During elongation, the ribosome translocates along the mRNA exposing one codon after the other, and amino acids are delivered to the ribosome by the respective tRNAs, and attached to the nascent polypeptide chain. During termination, the polypeptide is released and the ribosome remains loaded with mRNA and tRNA at the end of the open reading frame for the translated gene (Hellen, 2018). Bacterial ribosomes are subsequently recycled by a specific ribosome recycling factor and the small ribosomal subunit is simultaneously consigned to initiation factors for a next round of translation – rendering bacterial translation as a cyclic process with an additional ribosome recycling phase. However, the process of ribosome recycling remained enigmatic in Eukarya and Archaea until the simultaneous discovery of the twin-ATPase ABCE1 as the major ribosome recycling factor. Strikingly, ABCE1 has initially been shown to participate in translation initiation (Nürenberg and Tampé, 2013). Thus, closing the translation cycle by revealing the detailed molecular mechanism of ABCE1 and its role for translation initiation are the two goals of this research.
Beyond the plenitude of well-studied translational GTPases, ABCE1 is the only essential factor energized by ATP, delivering the energy for ribosome splitting via two nucleotide-binding sites. Here, I define how allosterically coupled ATP binding and hydrolysis events in ABCE1 empower ribosome recycling. ATP occlusion in the low-turnover control site II promotes formation of the pre-splitting complex and facilitates ATP engagement in the high-turnover site I, which in turn drives the structural re- organization required for ribosome splitting. ATP hydrolysis and ensuing release of ABCE1 from the small subunit terminate the post-splitting complex. Thus, ABCE1 runs through an allosterically coupled cycle of closure and opening at both sites consistent with a processive clamp model. This study delineates the inner mechanics of ABCE1 and reveals why various ABCE1 mutants lead to defects in cell homeostasis, growth, and differentiation (Nürenberg-Goloub et al., 2018).
Additionally, a high-resolution cryo-electron microscopy (EM) structure of the archaeal post-splitting complex was obtained, revealing a central macromolecular assembly at the crossover of ribosome recycling and translation initiation. Conserved interactions between ABCE1 and the small ribosomal subunit resemble the eukaryotic complex (Heuer et al., 2017). The conformational state of ABCE1 at the post-splitting complex confirms the molecular mechanism of ribosome recycling uncovered in this study. Moving further along the reaction coordinate of cellular translation, I reconstitute the complete archaeal translation initiation pathway and show that essential archaeal initiation factors are recruited to the post-splitting complex by biochemical methods and cryo-EM structures at intermediate resolution. Thus, the archaeal translation cycle is closed, following its bacterial model and paving the way for a deeper understanding of protein biosynthesis.
The membrane protein Green Proteorhodopsin (GPR), found in an uncultured marine γ-proteobacterium, is a retinal binding protein and contains a conserved structure of seven transmembrane helices (A-G). The retinal is bound to a conserved lysine residue (K231) in helix G via Schiff base linkage. It belongs to the widespread family of microbial rhodopsins and functions as a light dependent outward proton pump that bacteria may utilize for establishing a proton gradient across the cellular membrane. Proton pumping takes place after photon absorption, where GPR goes through a series of conformational changes, termed photocycle, causing the proton to be transported across the cellular membrane from the intra-cellular to the extracellular space. It is further mediated by the highly conserved functional residues D97 and E108, which function as the primary proton acceptor and primary proton donor for the protonated Schiff base, respectively. Another functionally important residue is the highly conserved H75 in helix B. It forms an intra-molecular cluster with D97 and is responsible for the high pKa value of the primary proton acceptor, stabilized by a direct interaction between D97 and H75.
Different Proteorhodopsin variants are globally distributed and colour tuned to their environment, depending on the water depth in which they occur. A single residue in the retinal binding pocket at position 105 is responsible for determining the absorption wavelength of the protein. GPR (from eBAC31A08) contains a leucine at position 105, while BPR (blue proteorhodopsin, from Hot75m4) in deeper waters possesses a glutamine. Although GPR shows 79% sequence identity with BPR, a single amino acid substitution (L105Q) in GPR is able to switch the absorption maximum to the one of BPR.
Protein oligomerisation describes the association of subunits (protomers) through non-covalent interactions, forming macromolecular complexes. It is an important structural characteristic of microbial rhodopsins, contributing to structural stability and promoting tight packing of the protomers in the bacterial membrane. GPR was shown to assemble into radially arranged oligomers, mainly pentamers and hexamers. No high resolution crystal structure of the whole GPR complex is available, but the structurally related BPR (Hot75m4) was successfully crystallized, showing pentameric oligomers.
The BPR crystal structure model reveals detailed information about complex assembly of the whole proteorhodopsin family. It reveals the oligomeric structures and shows residues that are part of the protomer interfaces, forming cross-protomer contacts, which is valuable information for the elaborate analysis of cross-protomer interactions of GPR oligomers.
Based on the knowledge of GPR and BPR oligomeric complexes, the aim of this study is to analyse specific cross-protomer contacts and to characterize the functional role of GPR oligomerisation. This includes the identification of residues, which are part of charged cross-protomer contacts and play an important role for the formation of the GPR oligomeric complex. Furthermore, this study deals with a detailed characterization of a potentially functional cross-protomer triad between the residues D97-H75-W34, which was detected in the BPR structural model. Hereby, the focus lies especially on the functional role H75, which is highly conserved and is positioned in between the primary proton acceptor D97 and W34 across the protomer interface. In summary, this study addresses GPR oligomerisation via specific cross-protomer contacts and its potential role for the functional mechanism of the protein.
The fundamental technique used in this study is solid-state NMR. Furthermore, an elaborate characterization of GPR oligomerisation was executed using a variety of biochemical methods and mutational approaches. Solid-state NMR is a powerful biophysical method to analyse membrane proteins in their native lipid environment and can be used to obtain diverse information about structure, molecular dynamics and orientation of the protein in the lipid bilayer.
Solid-state NMR naturally has a low sensitivity. In order to detect the low number of spins, DNP signal enhancement is of particular importance in this study. It is exhibited under cryogenic conditions and allows to drastically enhance the solid-state NMR signal by transferring magnetization from highly polarized electrons to the nuclear spins.
By applying these methods and techniques on GPR oligomers, this study reveals new insights in specific cross-protomer interactions in the complex. First the oligomeric states of GPR were determined for the specific experimental conditions used in this study. LILBID-MS, BN-PAGE and SEC analysis identified the pentameric state to be dominant for GPR. Furthermore, specific interactions across the protomer interface, which drive GPR oligomerisation, were identified. This was conducted by creating mixed 13C-15N labelled complexes. These mixed complexes show a unique isotope labelling pattern across their protomer interfaces. Solid-state NMR 13C-15N-correlation spectroscopy (TEDOR) was used to identify through-space dipole-dipole couplings, which indicate specific cross-protomer contacts. The results indicated that the residues R51, D52, E50 and T60 are important for GPR oligomerisation, and further analysis via single mutations of these residues showed a severe impact of the GPR oligomerisation behaviour.
The functional importance of GPR oligomerisation was analysed by DNP-enhanced solid-state NMR on the cross-protomer D97-H75-W34 triad. The DNP cryogenic conditions allowed to trap GPR in distinct stages of the photocycle. It could be shown that trapping GPR in a specific intermediate leads to a drastic conformational effect for the highly conserved H75 residue. Furthermore, DNP-enhanced solid-state NMR was used to characterize the cross-protomer contact between H75 and W34. Mutations of W34 could show that the cross-protomer interaction is highly important for the functionality of the protein, as negative mutants such as W34E showed a reverse proton transport across the bacterial membrane.
In summary this study represents a detailed analysis of GPR cross-protomer interactions and sheds light into the cause and functional importance of oligomeric complex formation in the microbial rhodopsin.
FPP und GGPP sind Intermediate des Mevalonat-Weges und fungieren als post-translationale Modifikation kleiner GTPasen. Die Prenylierung kleiner GTPasen erfolgt katalysiert von spezifischen Prenyltransferasen und ist notwendig um die kleinen GTPasen in Membranen zu verankern, wo ihre Aktivierung stattfindet. Zu den intrazellulären Funktionen der GTPasen gehören unter anderem der Aufbau des Cytoskeletts, das neuronale Zellwachstum, die Leitung und Ausläuferbildung von Axonen, das Dendritenwachstum, die Synapsenformation, die synaptische Plastizität und die Apoptose. Diese Funktionen spielen in der Gehirnalterung sowie in neurodegenerativen Erkrankungen wie der Alzheimer Demenz (AD) und auch bei der Glioblastoma multiforme (GBM) eine wichtige Rolle.
Im Zuge einer in vivo Studie an C57BL/6 Mäusen konnten in der vorliegenden Arbeit altersbedingte Veränderungen der Lokalisation verschiedener Rho- und Rab-GTPasen in Membran- und Cytosol-Präparationen sowie der GGTase-I in Gehirnen gealterter Tiere gezeigt werden. Die zelluläre Lokalisation der Rho GTPasen Rac1, RhoA und Cdc42 verschiebt sich im Alter zu reduzierten Membran-gebundenen und erhöhten cytosolischen Gehalten. Dies ist mit einer Reduktion der Protein- und mRNA- Gehalte des Enzyms GGTase-Iβ assoziiert, der Untereinheit der GGTase-I, die die Bindung des Isoprenoids GGPP an die Rho-GTPasen reguliert. Diese wiederum korrelieren direkt mit der altersbedingten Reduktion der relativen GGTase-Aktivität. Die in vitro Inhibition der GGTase-I mittels GGTI-2133 an SH-SY5Y Zellen erwies sich als Modell, welches die gleichen Effekte wie die gealterten Gehirne in vivo zeigt.
7, 8-Dihydroxyflavon (7, 8-DHF) ist ein natürlich vorkommendes Flavon, welches als hoch affiner selektiver TrkB-Rezeptor-Agonist fungiert und hierdurch wie das Neurotrophin BDNF das Überleben von Neuronen, deren Differenzierung, synaptische Plastizität und Neurogenese vermittelt. In vivo verursacht die orale Gabe von 7, 8-Dihydroxyflavon in Gehirnen alter Tiere eine Abnahme des Isoprenoids GGPP, die Zunahme der prenylierten Membran-gebundenen GTPase Rac1 und eine Reduktion des Gehaltes an Membran-gebundenem Rab3A auf das Niveau der Gehalte in den Gehirnen der jungen Kontroll-Tiere. Das Neurotrophin BDNF interagiert mit dem TrkB-Rezeptor und ist in der Lage direkt an den Rac1-spezifischen GEF Tiam1 zu binden, wodurch dieser aktiviert wird und Veränderungen der zellulären Morphologie der betroffenen Neurone induziert. Während das Alter und die orale Gabe von 7, 8-Dihydroxyflavon in vivo keine Effekte auf die Proteingehalte von BDNF und TrkB in der Tierstudie aufzeigten, konnte eine alterbedingte Reduktion von Tiam1 im Hirngewebe detektiert werden, die wiederum durch 7, 8-Dihydroxyflavon aufgehoben werden konnte.
Die Isoprenoide FPP und GGPP, sowie die Regulation kleiner GTPasen spielen auch eine wichtige Rolle im Zusammenhang mit Veränderungen der APP-Prozessierung in der molekularen Pathogenese der AD. Bei der APP-Prozessierung sind die beiden Sekretasen β- und γ-Sekretase für die Bildung des β-Amyloid-Peptids verantwortlich. In vitro Studien mit dem β-Sekretase-Inhibitor IV und dem γ-Sekretase-Inhibitor DAPT an untransfizierten und APP-transfizierten HEK293 Zellen (HEK293-APP695wt und HEK293-APPsw Zellen) konnten zeigen, dass sowohl die β- als auch die γ-Sekretase an der Regulation der Isoprenoide FPP und GGPP beteiligt sind. FPP und GGPP liegen in APP-transfizierten HEK293 Zellen erhöht vor. Die Inhibition der β-Sekretase führt zur Reduktion von FPP und GGPP. Durch die Inhibition der γ-Sekretase wird ausschließlich FPP reduziert. Weiterhin liegen in APP-transfizierten HEK293 Zellen die Membran-gebundenen prenylierten Rho-GTPasen Rac1, Cdc42 und RhoA erhöht vor. Das Membran-gebundene prenylierte H-Ras kommt jedoch in APP-transfizierten Zellen im Vergleich zu untransfizierten HEK293 Zellen in deutlich niedrigeren Mengen vor. Die Inhibition der β-Sekretase bedingt die Reduktion von Membran-gebundenem prenylierten Rac1 und auch von Membran-gebundenem H-Ras in HEK293-APPsw Zellen.
Veränderungen von Signaltransduktionswegen, die durch kleine GTPasen vermittelt werden, haben sich auch bei der GBM als zentraler Teil der molekularen Pathogenese herausgestellt. Hierbei ist die Prenylierung durch FPP und GGPP die Voraussetzung für die Membran-Insertion und onkogenen Funktion der Ras- und Rho-Proteine über die Stimulierung des Ras-Raf-MEK-ERK Signalweges. In dieser Arbeit konnte gezeigt werden, dass der HMG-CoA-Reduktase Inhibitor Lovastatin die Bildung der beiden Isoprenoide FPP und GGPP in U87 und U343 Glioblastoma Zellen verringert und hierdurch die Isoprenylierung von H-Ras und Rac1 reduziert. Das natürlich vorkommende Monoterpen Perrilylalkohol hingegen inhibiert die Prenyltransferasen FTase und GGTase und verändert dadurch die post-translationale Prenylierung der GTPasen Rac1 und H-Ras in U87 und U343 Zellen ohne die Isoprenoide FPP und GGPP signifikant zu beeinflussen. Jedoch bewirkt Perillylalkohol in U343 Zellen eine Erhöhung des GGPPs. Beide Substanzen bewirkten die Reduktion der ERK-Phosphorylierung und der Migration, Invasion und Proliferation der untersuchten U87 und U343 Glioblastoma Zellen.
The focus of this thesis is the integral membrane protein Escherichia coli diacylglycerol kinase (DGK). It is located within the inner membrane, where it catalyzes the ATP-dependent phosphorylation of diacylglycerol (DAG) to phosphatic acid (PA). DGK is a unique enzyme, which does not share any sequence homology with typical kinases. In spite of its small size, it exhibits a notable complexity in structure and function. The aim of this thesis is the investigation of DGK’s structure and function at an atomic level directly within the native-like lipid bilayer using MAS NMR. This way, a deeper understanding of DGK’s catalytic mechanism should be obtained.
First, the preparation of DGK was optimized, leading to a sample, which provides well-resolved MAS NMR spectra. The high quality MAS NMR spectra formed the foundation for the second step, the resonance assignment of DGK’s backbone and side chains. The assignment was performed at high magnetic field (1H frequency 850 MHz). The sequential assignment of immobile domains was carried out using dipolar coupling based 3D experiments, NCACX, NCOCX and CONCA. The measurement time could be reduced by paramagnetic doping with Gd3+-DOTA in combination with an E-free probehead. The sequential assignment was mainly performed using a uniformly labelled sample (U-13C,15N-DGK). Residual ambiguities could be resolved by reverse labelling (U-13C,15N-DGK-I,L,V). Resonances could be assigned for 82% of the residues, from which 74% were completely assigned. For validation, ssFLYA was applied, which is a generally applicable algorithm for the automatic assignment of protein solid state NMR spectra. Its principal applicability for demanding systems as membrane proteins could be proven for the first time. Overall, ~90% of the manually obtained assignments could be confirmed by ssFLYA. For the completion of DGK’s assignment, J-coupling based 2D experiments, 1H-13C/15N HETCOR and 13C-13C TOBSY, were carried out to detect highly mobile residues. This way, residues of the two termini and the cytosolic loop, which were not detectable by dipolar coupling based experiments, could be assigned tentatively. Whereupon, peaks for arginine and lysine were assigned unambiguously to Arg9 and Lys12. Overall, ~84% of the residues could be assigned by the applied NMR strategy. Furthermore, a secondary structure analysis was carried out. It showed substantial similarities between wild-type DGK, its thermostable mutant determined both by MAS NMR and the crystal structure of wtDGK. However, there are few differences around the flexible regions most likely caused by the high mobility of these regions. During the assignment procedure, no systematic peak doublets or triplets were detected, indicating that the DGK trimer adopts a symmetric conformation. This is in contrast to the X-ray structure, which shows asymmetries between the three subunits. Especially, crystal packing may be a potential source for these structural asymmetries.
On the basis of the nearly complete assignment of DGK, the apo state was compared with the substrate bound states. Perturbations in peak position and intensity of the substrate bound states were analysed for all assigned residues in 3D and 2D spectra. The nucleotide-bound state was emulated by adenylylmethylenediphosphonate (AMP-PCP), a non-hydrolysable ATP analogue, whereas the DAG-bound state was mimicked by 1,2-dioctanoyl-sn-glycerol (DOG, chain length n = 8). Upon nucleotide binding, extensive chemical shift perturbations could be observed. These data provide evidence for a symmetric DGK trimer with all of its three active sites concurrently occupied. Additionally, it could be demonstrated that the nucleotide substrate induces a substantial conformational change. This most likely supports the enzyme in binding of the lipid substrate, indicating positive heteroallostery. In contrast, the overall alterations caused by DOG are very minor. They involve mainly changes in peak intensities. For DGK bound with either AMP-PCP+DOG or only AMP-PCP, a similar spectral fingerprint was observed. This implies that binding of the nucleotide seems to set the enzyme into a catalytic active state, triggering the actual phosphoryl transfer reaction.
The investigation of DGK’s remarkable stability and the cross-talk between its subunits forms the last part of this thesis. This demands for the identification of key intra- and interprotomer contacts, which are of structural or functional importance. For this purpose, 13C-13C DARR and 2D NCOCX spectra with long mixing times were recorded using high field MAS NMR. Additionally, DNP-enhanced 13C−15N TEDOR experiments were conducted on mixed labelled DGK trimers to enable the visualization of interprotomer contacts. With the applied NMR strategy, intra- (Arg32 - Trp25/ Glu28/ Ala29 and Trp112 - Ser61) and interprotomer (ArgNn,e - AspCg/ GluCd/ AsnCg) long-range interactions could be identified.
In this research project we aimed to generate genetically modified megakaryocytes and platelets, by targeting protein expression to their secretory alpha-granules to delivery ectopic or therapeutic proteins, to be stored and kept there until an external stimulus triggers platelet activation and platelet secretion takes place. During platelet activation, the therapeutic proteins would then be released to the extracellular space, either as a soluble protein or exposed as a transmembrane protein on the cell surface of platelets. For long-term approaches, genetic modifications must be introduced at the hematopoietic stem cell level.
AIMS: As first approach, we aimed to characterize the lineage-specificity of expression of six different promoter fragments in lentiviral vectors: the murine platelet factor 4 (mPf4) 1222 bp (-1074 to +148), human glycoprotein Ib alpha (hGP1BA) 595 bp (-265 to +330), a short and a longer fragment of the human glycoprotein 6 (hGP6 / hGP6s) 351 bp (-322 to +29) / 726 bp (-697 to +29), as well the human glycoprotein 9 (GP9) promoter 794 bp (-782 to -12). These promoter fragments were included as internal cellular promoters in self-inactivating lentiviral vectors (SIN), using an enhanced green fluorescent protein (eGFP) as gene reporter. GFP detection was evaluated in vitro (in transduced non-megakaryocitc blood cell progenitors and in-vitro differentiated megakaryocytes) and in vivo (Bone marrow cells, blood cells and spleen cells). For targeting of proteins to the secretory alpha granules of megakaryocytes and platelets, we followed two strategies: A) The sorting signal of the cytokine RANTES was fused N-terminally to the destabilized GFP, d2eGFP (RANTES. d2eGFP), to deliver the protein into the granules as soluble cargo. B) The transmembrane granular targeting sequence of P-selectin (the transmembrane domain and cytoplasmic tail (referred as TDCT) was fused to d2eGFP or the B domain deleted codon optimized human coagulation Factor VIII cDNA (referred as BDcohFVIII_TDCT or FVIII_TDCT), to deliver the protein into the membrane of alpha granules. These two strategies were tested in-vitro, from transduced differentiated megakaryocytes in liquid cultures, and in-vivo, by analysis of genetically modified platelets by means of Laser Scanning Confocal Microscopy (LSM) in colocalization analysis (performed at the single cell level) and fluorescence intensity analysis.
RESULTS: GFP expression in blood cells from transplanted mice was significantly higher in platelets, with a smaller background promoter activity in leukocytes and erythrocytes. The highest expression was observed from the mPf4-vector, followed by hGP1BA, hGP6 and hGP6s vectors, identifying the hGP6 vectors as the most restricted to the megakaryocyte and platelet lineage. Analysis in bone marrow cells showed that hGP6-vectors have the lowest activity in the hematopoietic stem and progenitor cells (HSPC) with less than 10% of GFP positive stem cells. Surprisingly, the mPf4 and hGP1BA vectors were both highly active in the HSPC, in a range of 20 to 70% of GFP-positive cells. Polyploidization in later stages of MK-maturation of in-vitro Mks differentiated from Mpl-/- lineage marker negative cells were recovered after gene transfer of the thrombopoietin receptor Mpl, under the control of MK-specific vectors in differentiated into MKs. These results were corroborated in in-vivo analysis, where Mpl-/- mice transplanted with lin-BM cells transduced with the mPf4.Mpl and hGP6.Mpl vectors, showed significantly elevated platelet counts compared to control mice transplanted with a GFP-encoding control vector (PGK-GFP). In the Fluorescent intensity and colocalization analysis of transduced megakaryocytes with the targeting vectors, we observed a significant difference in the GFP targeting compared with those MK transduced with the non-targeting vectors. The median of the WCC values observed from the RANTES.d2eGFP targeting vector was 0.8 (80 % of colocalization) with P-selectin stained granules, and 0.7 (70%) with von Willebrand Factor stained granules. In the case of the non-targeting vector SFFV.d2eGFP the median of the WCC observed were <0.3 (30%) both in P-selectin and von Willebrand Factor stained granules. We observed as well that the GFP signal of MK transduced with the P-selectin.d2eGFP fusion overlapped the signals emitted by P-selectin and von Willebrand factor stained granules, not just in LSM-digitalized images but in the fluorescens intensity analysis as well, indicating a clear signal of GFP colocalization. Likewise, an evident signal overlap between the targeted FVIII (FVIII_TDCT) with the P-selectin / von Willebrand marker was observed. Colocalization and fluorescens intensity analysis performed on activated platelets from transplanted mice with the targeting vectors, corroborated what was previously observed in in-vitro megakaryocytes. The genetic modification of megakaryocyte and platelets will allow in the furture, not just the development of new generation of cells with advanced functions, but it will help us to elucidate new mechanisms and pathways of important cellular processes, by modifying cell function and cell interactions.