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Virtual screening of potential bioactive substances using the support vector machine approach
(2005)
Die vorliegende Dissertation stellt eine kumulative Arbeit dar, die in insgesamt acht wissenschaftlichen Publikationen (fünf publiziert, zwei eingerichtet und eine in Vorbereitung) dargelegt ist. In diesem Forschungsprojekt wurden Anwendungen von maschinellem Lernen für das virtuelle Screening von Moleküldatenbanken durchgeführt. Das Ziel war primär die Einführung und Überprüfung des Support-Vector-Machine (SVM) Ansatzes für das virtuelle Screening nach potentiellen Wirkstoffkandidaten. In der Einleitung der Arbeit ist die Rolle des virtuellen Screenings im Wirkstoffdesign beschrieben. Methoden des virtuellen Screenings können fast in jedem Bereich der gesamten pharmazeutischen Forschung angewendet werden. Maschinelles Lernen kann einen Einsatz finden von der Auswahl der ersten Moleküle, der Optimierung der Leitstrukturen bis hin zur Vorhersage von ADMET (Absorption, Distribution, Metabolism, Toxicity) Eigenschaften. In Abschnitt 4.2 werden möglichen Verfahren dargestellt, die zur Beschreibung von chemischen Strukturen eingesetzt werden können, um diese Strukturen in ein Format zu bringen (Deskriptoren), das man als Eingabe für maschinelle Lernverfahren wie Neuronale Netze oder SVM nutzen kann. Der Fokus ist dabei auf diejenigen Verfahren gerichtet, die in der vorliegenden Arbeit verwendet wurden. Die meisten Methoden berechnen Deskriptoren, die nur auf der zweidimensionalen (2D) Struktur basieren. Standard-Beispiele hierfür sind physikochemische Eigenschaften, Atom- und Bindungsanzahl etc. (Abschnitt 4.2.1). CATS Deskriptoren, ein topologisches Pharmakophorkonzept, sind ebenfalls 2D-basiert (Abschnitt 4.2.2). Ein anderer Typ von Deskriptoren beschreibt Eigenschaften, die aus einem dreidimensionalen (3D) Molekülmodell abgeleitet werden. Der Erfolg dieser Beschreibung hangt sehr stark davon ab, wie repräsentativ die 3D-Konformation ist, die für die Berechnung des Deskriptors angewendet wurde. Eine weitere Beschreibung, die wir in unserer Arbeit eingesetzt haben, waren Fingerprints. In unserem Fall waren die verwendeten Fingerprints ungeeignet zum Trainieren von Neuronale Netzen, da der Fingerprintvektor zu viele Dimensionen (~ 10 hoch 5) hatte. Im Gegensatz dazu hat das Training von SVM mit Fingerprints funktioniert. SVM hat den Vorteil im Vergleich zu anderen Methoden, dass sie in sehr hochdimensionalen Räumen gut klassifizieren kann. Dieser Zusammenhang zwischen SVM und Fingerprints war eine Neuheit, und wurde von uns erstmalig in die Chemieinformatik eingeführt. In Abschnitt 4.3 fokussiere ich mich auf die SVM-Methode. Für fast alle Klassifikationsaufgaben in dieser Arbeit wurde der SVM-Ansatz verwendet. Ein Schwerpunkt der Dissertation lag auf der SVM-Methode. Wegen Platzbeschränkungen wurde in den beigefügten Veröffentlichungen auf eine detaillierte Beschreibung der SVM verzichtet. Aus diesem Grund wird in Abschnitt 4.3 eine vollständige Einführung in SVM gegeben. Darin enthalten ist eine vollständige Diskussion der SVM Theorie: optimale Hyperfläche, Soft-Margin-Hyperfläche, quadratische Programmierung als Technik, um diese optimale Hyperfläche zu finden. Abschnitt 4.3 enthält auch eine Diskussion von Kernel-Funktionen, welche die genaue Form der optimalen Hyperfläche bestimmen. In Abschnitt 4.4 ist eine Einleitung in verschiede Methoden gegeben, die wir für die Auswahl von Deskriptoren genutzt haben. In diesem Abschnitt wird der Unterschied zwischen einer „Filter“- und der „Wrapper“-basierten Auswahl von Deskriptoren herausgearbeitet. In Veröffentlichung 3 (Abschnitt 7.3) haben wir die Vorteile und Nachteile von Filter- und Wrapper-basierten Methoden im virtuellen Screening vergleichend dargestellt. Abschnitt 7 besteht aus den Publikationen, die unsere Forschungsergebnisse enthalten. Unsere erste Publikation (Veröffentlichung 1) war ein Übersichtsartikel (Abschnitt 7.1). In diesem Artikel haben wir einen Gesamtüberblick der Anwendungen von SVM in der Bio- und Chemieinformatik gegeben. Wir diskutieren Anwendungen von SVM für die Gen-Chip-Analyse, die DNASequenzanalyse und die Vorhersage von Proteinstrukturen und Proteininteraktionen. Wir haben auch Beispiele beschrieben, wo SVM für die Vorhersage der Lokalisation von Proteinen in der Zelle genutzt wurden. Es wird dabei deutlich, dass SVM im Bereich des virtuellen Screenings noch nicht verbreitet war. Um den Einsatz von SVM als Hauptmethode unserer Forschung zu begründen, haben wir in unserer nächsten Publikation (Veröffentlichung 2) (Abschnitt 7.2) einen detaillierten Vergleich zwischen SVM und verschiedenen neuronalen Netzen, die sich als eine Standardmethode im virtuellen Screening etabliert haben, durchgeführt. Verglichen wurde die Trennung von wirstoffartigen und nicht-wirkstoffartigen Molekülen („Druglikeness“-Vorhersage). Die SVM konnte 82% aller Moleküle richtig klassifizieren. Die Klassifizierung war zudem robuster als mit dreilagigen feedforward-ANN bei der Verwendung verschiedener Anzahlen an Hidden-Neuronen. In diesem Projekt haben wir verschiedene Deskriptoren zur Beschreibung der Moleküle berechnet: Ghose-Crippen Fragmentdeskriptoren [86], physikochemische Eigenschaften [9] und topologische Pharmacophore (CATS) [10]. Die Entwicklung von weiteren Verfahren, die auf dem SVM-Konzept aufbauen, haben wir in den Publikationen in den Abschnitten 7.3 und 7.8 beschrieben. Veröffentlichung 3 stellt die Entwicklung einer neuen SVM-basierten Methode zur Auswahl von relevanten Deskriptoren für eine bestimmte Aktivität dar. Eingesetzt wurden die gleichen Deskriptoren wie in dem oben beschriebenen Projekt. Als charakteristische Molekülgruppen haben wir verschiedene Untermengen der COBRA Datenbank ausgewählt: 195 Thrombin Inhibitoren, 226 Kinase Inhibitoren und 227 Faktor Xa Inhibitoren. Es ist uns gelungen, die Anzahl der Deskriptoren von ursprünglich 407 auf ungefähr 50 zu verringern ohne signifikant an Klassifizierungsgenauigkeit zu verlieren. Unsere Methode haben wir mit einer Standardmethode für diese Anwendung verglichen, der Kolmogorov-Smirnov Statistik. Die SVM-basierte Methode erwies sich hierbei in jedem betrachteten Fall als besser als die Vergleichsmethoden hinsichtlich der Vorhersagegenauigkeit bei der gleichen Anzahl an Deskriptoren. Eine ausführliche Beschreibung ist in Abschnitt 4.4 gegeben. Dort sind auch verschiedene „Wrapper“ für die Deskriptoren-Auswahl beschrieben. Veröffentlichung 8 beschreibt die Anwendung von aktivem Lernen mit SVM. Die Idee des aktiven Lernens liegt in der Auswahl von Molekülen für das Lernverfahren aus dem Bereich an der Grenze der verschiedenen zu unterscheidenden Molekülklassen. Auf diese Weise kann die lokale Klassifikation verbessert werden. Die folgenden Gruppen von Moleküle wurden genutzt: ACE (Angiotensin converting enzyme), COX2 (Cyclooxygenase 2), CRF (Corticotropin releasing factor) Antagonisten, DPP (Dipeptidylpeptidase) IV, HIV (Human immunodeficiency virus) protease, Nuclear Receptors, NK (Neurokinin receptors), PPAR (peroxisome proliferator-activated receptor), Thrombin, GPCR und Matrix Metalloproteinasen. Aktives Lernen konnte die Leistungsfähigkeit des virtuellen Screenings verbessern, wie sich in dieser retrospektiven Studie zeigte. Es bleibt abzuwarten, ob sich das Verfahren durchsetzen wird, denn trotzt des Gewinns an Vorhersagegenauigkeit ist es aufgrund des mehrfachen SVMTrainings aufwändig. Die Publikationen aus den Abschnitten 7.5, 7.6 und 7.7 (Veröffentlichungen 5-7) zeigen praktische Anwendungen unserer SVM-Methoden im Wirkstoffdesign in Kombination mit anderen Verfahren, wie der Ähnlichkeitssuche und neuronalen Netzen zur Eigenschaftsvorhersage. In zwei Fällen haben wir mit dem Verfahren neuartige Liganden für COX-2 (cyclooxygenase 2) und dopamine D3/D2 Rezeptoren gefunden. Wir konnten somit klar zeigen, dass SVM-Methoden für das virtuelle Screening von Substanzdatensammlungen sinnvoll eingesetzt werden können. Es wurde im Rahmen der Arbeit auch ein schnelles Verfahren zur Erzeugung großer kombinatorischer Molekülbibliotheken entwickelt, welches auf der SMILES Notation aufbaut. Im frühen Stadium des Wirstoffdesigns ist es wichtig, eine möglichst „diverse“ Gruppe von Molekülen zu testen. Es gibt verschiedene etablierte Methoden, die eine solche Untermenge auswählen können. Wir haben eine neue Methode entwickelt, die genauer als die bekannte MaxMin-Methode sein sollte. Als erster Schritt wurde die „Probability Density Estimation“ (PDE) für die verfügbaren Moleküle berechnet. [78] Dafür haben wir jedes Molekül mit Deskriptoren beschrieben und die PDE im N-dimensionalen Deskriptorraum berechnet. Die Moleküle wurde mit dem Metropolis Algorithmus ausgewählt. [87] Die Idee liegt darin, wenige Moleküle aus den Bereichen mit hoher Dichte auszuwählen und mehr Moleküle aus den Bereichen mit niedriger Dichte. Die erhaltenen Ergebnisse wiesen jedoch auf zwei Nachteile hin. Erstens wurden Moleküle mit unrealistischen Deskriptorwerten ausgewählt und zweitens war unser Algorithmus zu langsam. Dieser Aspekt der Arbeit wurde daher nicht weiter verfolgt. In Veröffentlichung 6 (Abschnitt 7.6) haben wir in Zusammenarbeit mit der Molecular-Modeling Gruppe von Aventis-Pharma Deutschland (Frankfurt) einen SVM-basierten ADME Filter zur Früherkennung von CYP 2C9 Liganden entwickelt. Dieser nichtlineare SVM-Filter erreichte eine signifikant höhere Vorhersagegenauigkeit (q2 = 0.48) als ein auf den gleichen Daten entwickelten PLS-Modell (q2 = 0.34). Es wurden hierbei Dreipunkt-Pharmakophordeskriptoren eingesetzt, die auf einem dreidimensionalen Molekülmodell aufbauen. Eines der wichtigen Probleme im computerbasierten Wirkstoffdesign ist die Auswahl einer geeigneten Konformation für ein Molekül. Wir haben versucht, SVM auf dieses Problem anzuwenden. Der Trainingdatensatz wurde dazu mit jeweils mehreren Konformationen pro Molekül angereichert und ein SVM Modell gerechnet. Es wurden anschließend die Konformationen mit den am schlechtesten vorhergesagten IC50 Wert aussortiert. Die verbliebenen gemäß dem SVM-Modell bevorzugten Konformationen waren jedoch unrealistisch. Dieses Ergebnis zeigt Grenzen des SVM-Ansatzes auf. Wir glauben jedoch, dass weitere Forschung auf diesem Gebiet zu besseren Ergebnissen führen kann.
The thesis entitled „Investigations on the significance of nucleo-cytoplasmic transport for the biological function of cellular proteins" aimed to unreveal molecular mechanisms in order to improve our understanding of the impact of nucleo-cytoplasmic transport on cellular functions. Within the scope of this work, it could be shown that regulated nucleo-cytoplasmic transport of a subfamily of homeobox transcription factors controlled their intra- and intercellular transport, and thereby influencing also their transcriptional activity. This study describes a novel regulatory mechanism, which could in general play an important role for the ordered differentiation of complex organisms. Besides cis-active transport Signals, also post-translational modifications can influence the localization and biological activity of proteins in trans. In addition to the known impact of phosphorylation on the transport and activity of STAT1, experimental evidence was provided demonstrating that acetylation affected the interaction of STAT1 with NF-kB p65, and subsequently modulated the expression of apoptosis-inducing NF-kB target genes. The impact of nucleo-cytoplasmic transport on the regulation of apoptosis was underlined by showing that the evolutionary conservation of a NES within the anti-apoptotic protein survivin plays an essential role for its dual function in the inhibition of apoptosis and ordered cell division. Since survivin is considered a bona fide cancer therapy target, these results strongly encourage future work to identify molecular decoys that specifically inhibit the nuclear export of survivin as novel therapeutics. In order to further dissect the regulation of nuclear transport and to efficiently identify transport inhibitors, cell-based assays are urgently required. Therefore, the cellular assay Systems developed in this work may not only serve to identify synthetic nuclear export and Import inhibitors but may also be applied in systematic RNAi-screening approaches to identify novel components of the transport machinery. In addition, the translocation based protease- and protein-interaction biosensors can be applied in various biological Systems, in particular to identify protein-protein interaction inhibitors of cancer relevant proteins. In summary, this work does not only underline the general significance of nucleo-cytoplasmic transport for cell biology, but also demonstrates its potential for the development of novel therapies against diseases like cancer and viral infections.
The melibiose permease (MelB) of E.coli functions as a secondary-active symporter by using the electrochemical H+, Na+, or Li+ gradient to accumulate, e.g., melibiose [review in Pourcher et al. 1990a]. The global and primary objective of this thesis was to apply pre-steady state methods for the investigation of reaction rates of individual steps in the cycle of MelB. Especially the melibiose binding induced transition was investigated by the solid-supported membrane (SSM) technique [Seifert et al. 1993] in combination with a rapid solution exchange system [Pintchovius and Fendler 1999] and with the Stopped-flow technique [Roughton 1934]. To approach this goal, either wild-type or mutated MelB were purified and reconstituted into liposomes as described [Pourcher et al. 1995]. Although the orientation of the proteins is a critical factor for the activity of MelB, it was, so far, unknown. To determine the orientation of the proteins in the liposomes, single Cys mutants R139C and R141C [Abdel-Dayem et al. 2003] were selectively labeled with 3-(N-maleimidylpropionyl)biocytin (MPB) and analyzed by SDS-PAGE and Western Blot. The assay indicated that most of the proteins are inside-out (ISO) oriented permitting to relate the pre-steady state electrical and fluorescence signals to the reverse transport activity of MelB. The melibiose induced electrical signal was investigated in wild-type MelB with the SSM technique. The transporter was activated by a substrate concentration jump, and transient currents were measured. When the transporter was preincubated with Na+ at saturating concentrations, a charge translocation in the protein upon melibiose binding could still be observed. This result demonstrates that binding of the uncharged substrate melibiose triggers a charge displacement in the protein. Further analysis showed that the charge displacement is neither related to extra Na+ binding to the transporter, nor to the displacement of already bound Na+ within MelB. Electrogenic melibiose binding is explained by a conformational change with concomitant displacement of charged amino acid side chains and/or a reorientation of helix dipoles. A kinetic model is suggested, in which Na+ and melibiose binding are distinct electrogenic processes associated with approximately the same charge displacement. Melibiose binding is fast in the presence of Na+ (k > 50 s-1). Furthermore, two previously identified transport deficient mutants of loop 4-5, R141C and E142C [Abdel-Dayem et al. 2002, Séry 2002], were purified and extensively studied with the SSM. Whereas the electrical signals from control cysteine-less mutant showed a bi-exponential time course of decay, those from R141C or E142C consisted of only a single fast exponential component, and the slow decaying component associated with substrate translocation was missing. The electrical signals evoked by a melibiose concentration jump in the presence of Na+ were much smaller than the corresponding signals in C-less MelB. Furthermore, R141C lost the stimulating effect of melibiose on Na+ binding. Steady-state Trp fluorescence spectroscopy revealed impaired conformational changes after melibiose binding in the mutants and fluorescence resonance energy transfer (FRET) measurements indicated that the mutants still show cooperative modification of their sugar binding sites by Na+. These data suggest that loop 4-5 contributes to the coordinated interactions between the ion- and sugar binding site and participates in conformational changes after melibiose binding that are essential for the subsequent obligatory coupled translocation of substrates. By using the Stopped-flow technique, three different approaches were followed. First, the intrinsic Trp fluorescence of MelB, known to increase upon melibiose binding [Mus-Veteau et al. 1995], revealed a signal with a T 1 of ~15 ms in C-less. This time constant is of the same order of magnitude as that determined with the SSM method suggesting that Trp fluorescence and electrical signal are related processes. Conformation for this assumption came from the fact that the activation energies Ea for both processes are similar (around 45 KJ/mol). Second, by using the fluorescent sugar analog Dns2-S-Gal, which monitors events close to the sugar binding site [Maehrel et al. 1998], a signal with a T 1 of ~18 ms was recorded upon Na+ addition. Finally, the fluorescent dye MIANS was used to selectively label the single Cys mutant E365C of loop 10-11. Stopped-flow measurements revealed a melibiose-induced fluorescent signal with a T 1 of 45 ms. Since electrical measurements with the MIANS-labeled E365C excluded the possibility that the label is responsible for the slower kinetics, the conformational change detected by the MIANS fluorescence was assigned to a slow transition in the cycle of MelB after melibiose binding. Ea was determined to be 96 KJ/mol corroborating, thus, the hypothesis of a different process. In conclusion, it was possible to correlate the electrical and fluorescence signals to partial reactions of the transport cycle and to determine their rate constants. According to this new model, the melibiose-induced signal detected with the Trp and electrical measurements corresponds to a step preceding the carriers’ reorientation (3 <-> 3*, k ~ 65s-1), and the melibiose-induced signal detected with the MIANS fluorescence to the reorientation itself (3* <-> 4, k ~ 20s-1).
Lesion of the rat entorhinal cortex denervates the outer molecular layer of the fascia dentata followed by layer-specific axonal sprouting of uninjured fibers in the denervated zone. One of the candidate molecules regulating the laminar-specific sprouting response in the outer molecular layer is the transmembrane chondroitin sulfate proteoglycan NG2. NG2 is found in glial scars and has been suggested to impede axonal regeneration following injury of the spinal cord. The present study adressed the question whether NG2 could also regulate axonal growth in denervated areas of the brain. Therefore, (1) changes in NG2 mRNA and NG2 protein levels, (2) the cellular and the extracellular localisation of the molecule, (3) the identity of NG2 expressing cells, and (4) the generation of NG2-positive cells were studied in the rat fascia dentata before and following entorhinal deafferentation. Laser microdissection was employed to selectively harvest the denervated molecular layer and combined with quantitative reverse transcription-PCR to measure changes in NG2 mRNA amount (6h, 12h, 2d, 4d, 7d post lesion). The study revealed increases of NG2 mRNA at day 2 (2.5-fold) and day 4 (2-fold) post lesion. Immunocytochemistry was used to detect changes in NG2 protein distribution (1d, 4d, 7d, 10d, 14d, 30d, 6 months post lesion). NG2 staining was increased in the denervated outer molecular layer at 1 day post lesion, reached a maximum at 10 days post lesion, and returned to control levels within 6 month. Interestingly, the accumulation of NG2 protein was strongly restricted to the denervated outer molecular layer forming a border to the unaffected inner molecular layer. Using electron microscopy, NG2-immunoprecipitate was localized not only on glial surfaces and in the extracellular matrix but also in the vicinity of neuronal profiles indicating that NG2 is secreted following denervation. Double-labelings of NG2-immunopositive cells with markers for astrocytes, microglia/macrophages, and oligodendrocytes suggested that NG2-cells are a distinct glial subpopulation before and after entorhinal deafferentation. Bromodeoxyuridine-labeling revealed that some of the NG2-positive cells are postlesional generated. Taken together, the data revealed a layer-specific upregulation of NG2 in the denervated outer molecular layer of the fascia dentata that coincides with the sprouting response of uninjured fibers. This suggests that NG2 could regulate lesion-induced axonal growth in denervated areas of the brain.
Nucleotide-binding domains (NBDs), roughly 27 kDa in size, are conservative components of the large family of ABC (ATP-binding cassette) transporters, which includes importers, exporters, and receptors. NBDs or ABC-ATPases supply energy for the translocation of a vast variety of substrates across biological membranes. Despite their hydrophilic sequence, many NBDs tend to aggregate and precipitate in solution upon isolation from the complete transporter. The conditions stabilizing an extremely labile NBD component of the E.coli HlyA transporter, HlyB-NBD, were developed. As a result, the pure highly concentrated enzyme was protected from precipitation for months that allowed screening of the unlimited crystallization conditions in the presence of different substrates and performance of the reproducible functional assays. HlyB-NBD was characterized in regard to its uncoupled ATPase activity, oligomeric state, and stability in solution. Comparative analysis of protein stability and ATPase activity in various buffers suggested an inverse relationship between the two. Kinetic analysis of ATPase activity revealed ATP-induced protein dimerization. Gel-filtration experiments with the wild type protein and H662A-mutant of HlyB-NBD provided further evidence of protein dimerization in the presence of ATP. The crystal structures in post- and pre-hydrolysis nucleotide-bound states of HlyB-NBD were determined at 1.6Å and 2.5Å resolution, respectively. While the hydrolytically deficient H662A mutant of HlyB-NBD was crystallized as a stable dimer in the presence of ATP or ATP-Mg2+, with two nucleotide molecules sandwiched between the two monomers, the same protein was shown to be a monomer in the ADP-loaded state. The wild type protein failed to develop crystals with bound ATP, yet formed ADP-bound crystals identical to those of the H662A-mutant. The X-ray structures of HlyB-NBD in various states of the hydrolytic cycle and the functional studies of the enzyme have provided an opportunity to characterize enzyme-substrate complexes and protein-protein interactions between the NBD subunits in great detail. Comparison of the nucleotide-free, the ADP-, and the ATP-loaded states revealed oligomeric and conformational changes of the protein upon substrate binding and resulted in a molecular picture of the catalytic cycle. The correlated results of the structural and functional investigations of HlyB-NBD are discussed with relation to the mechanism of action of ABC transporters.
The analysis of doxorubicin-loaded poly(butyl cyanoacrylate) nanoparticles in in vitro glioma models
(2005)
The use of doxorubicin for the treatment of glioma tumours would be an important approach in the chemotherapy treatment since doxorubicin is a very effective neoplastic agent. However, one problem faced by the use of doxorubicin for the treatment of brain tumours is the fact that doxorubicin is a substrate of an efflux pump protein, P-glycoprotein (P-gp), which is located on the luminal side of the brain capillary endothelium and in many tumour cells, which acts pumping out of the cell such substrate, and blocking its transport into the cell. A strategy to enhance the doxorubicin delivery into the brain would be the use of nanoparticles. This work showed, that the treatment of doxorubicin bound to poly(butyl cyanoacrylate) nanoparticles decreased the viability of the three glioma cell lines, the GS-9L, the RG-2, and the F-98 cell lines significantly in comparison to doxorubicin in solution, indicating an improvement of the nanoparticles-bound doxorubicin transport into the cells. The modification of the nanoparticles surface with different surfactants may even enhance the delivery of the drug into the cells. Searching for an improvement of the doxorubicin internalization, the nanoparticles surface was modified using polysorbate 80, poloxamer 188 and poloxamine 908 surfactants. The poloxamer 188 and polaxamine 908 surfactant modified nanoparticles did not show a significant enhancement of the doxorubicin internalization. Contrary, the treatment of polysorbate 80 surfactant modified nanoparticles led in some cases to a significant decrease of cancer cell viability. The use of doxorubicin in the three glioma cell lines allowed the measurement of different responses towards doxorubicin treatment. The different responses were due to the entry of various amounts of doxorubicin into the glioma cells, which express the P-glycoprotein in their cellular membrane. A higher level of the P-gp expression correlated with a weaker response towards the doxorubicin treatment. The GS-9L cell line showed a significant higher level of P-gp expression than the F-98, and RG-2 cell lines, and consequently, the GS-9L cell line presented the highest resistance to doxorubicin with the highest viability values after doxorubicin treatment. Due to the fact that the transport of doxorubicin is governed by the activity of the P-gp in the studied glioma cells, the use of poloxamer 185 as a P-gp inhibitor resulted in an enhancement of the uptake as well as of the accumulation of doxorubicin into the cells. The effect of poloxamer 185 on the doxorubicin uptake was significant marked in the case of doxorubicin-resistance cells, as the GS-9L cell line. In some cases, the presence of the nanoparticles formulation showed also an influence on such uptake improvement. The use of a P-gp inhibitor in combination with chemotherapeutic agents leads to encouraging results. Because of the wide spectrum of substances acting as P-gp inhibitors, the exact inhibitory mechanisms remain still unclear. For instance in our results the evaluation of a described P-gp inhibitor, polysorbate 80 did not show an important improvement in the doxorubicin uptake in the P-gp-expressing cell line, GS-9L. On the other hand, the Polysorbate 80-Dox-PBCA nanoparticles formulation decreased in greater extend the viability of the glioma cells than the poloxamer185-Dox-PBCA nanoparticles. Although, the P-gp inhibition was undoubtedly higher in the presence of poloxamer 185, polysorbate 80 showed a main effect on the disruption of the cellular membrane, resulting in an important cellular viability decrease. It seems that poloxamer 185 presents a direct effect on the functionality of the P-gp protein, which would be of great importance in the sensitization of resistant cancer cells. The range of concentration of poloxamer 185 is very important to yield an inhibitory effect on the P-gp-mediated transport mechanism. The accumulation of Rhodamine-123 (Rho-123), a known P-gp substrate, increased in a range of concentration from 0.001 % to 0.01, whereas at 0.1 % poloxamer 185 the accumulation significantly decreased. A maximal Rho-123 accumulation was reached at 0.01 % poloxamer 185.
Amblyopia is a developmental disorder of the visual system that leads to reduced vision in one or both eyes. People suffering from amblyopia show different perceptual deficits like reduced contrast sensitivity, reduced or no stereopsis, spatial uncertainty, and spatial and temporal distortions when viewing with the amblyopic eye. In the following thesis, different psychophysical methods are used to investigate anomalous perception of amblyopic participants in detail with the main focus on the perception of temporal instability. In the qualitative experimental paradigms it is shown that temporal instability is mainly perceived by strabismic and strabismic-anisometropic amblyopes. The temporal deficits occur only at spatial frequencies higher than 1.6 c/deg, and are perceived in addition to the spatial distortions. Illusory colours sometimes accompany the temporal distortions. There seems to be a relationship between crossed hand and eye dominance and the perception of temporal instability. In the quantitative experiments it is shown that temporal instability in amblyopic perception has a negative impact on the performance in psychophysical tasks. Amblyopes perceiving temporal instability show enhanced spatial uncertainty and spatial distortions for different types of stimulus presentation (auditive vs. visual) when compared to amblyopes without temporal instability. This might be due to deficits in auditive-visual mapping. These deficits in auditory-to-visual mapping suggest an impairment of the dorsal “where” pathway. Thus, it might be that amblyopes with temporal distortions have deficits in the dorsal pathway that come up in addition to the known deficits of the ventral “what” pathway and are related to the perception of temporal instability. The different results of the experiments found in this thesis seem to confirm this hypothesis. Studies using functional imaging techniques might be appropriate for a further investigation of amblyopic deficits involving the dorsal pathway.
The results presented here strongly indicate that ubiquitination of the recombinant human alpha1 GlyR at the plasma membrane of Xenopus oocytes is involved in receptor internalisation and degradation. Ubiquitination of the human alpha1 GlyR has been demonstrated by radio-iodination of plasma membrane-boundalpha1 GlyRs, whose subunits differed in molecular weight by additional 7, 14 or 21 kDa, corresponding to the molecular weights of one, two and three conjugated ubiquitin molecules, respectively, and by co-isolation of the non-tagged human alpha1 GlyR through hexahistidyl-tagged ubiquitin. Ubiquitin conjugated GlyRs where prominent at the plasma membrane, but could be hardly detected in total cell homogenates, indicating that ubiquitination takes place exclusively at the plasma membrane. Ubiquitination of the alpha1 GlyR at the plasma membrane was no longer detectable when the ten lysine residues of the cytoplasmic loop between transmembrane segments M3 and M4 were replaced by arginines. Despite this proteolytic cleavage continued to take place at the same extent as with the wild type alpha1 GlyR, suggesting that removal of GlyRs from the plasma membrane and routing to lysosomes for degradation were not dependent on ubiquitination. Also replacing a tyrosine in position 339, which was speculated to be part of an additional endocytosis motif, did not lead to a significant reduction of cleavage of the GlyR alpha1 subunits. However, a mutant lacking both, ubiquitination sites and 339Y, was significantly less processed. These results may suggest that the GlyR alpha1 subunit harbors at least two endocytosis motifs, which may act independently to regulate the density of alpha1 GlyR. Apparently, each of the two signals may be capable of compensating entirely the loss of the other. Part two of this Dissertation demonstrates that the correct topology of the glycine receptor alpha1 subunit depends critically on six positively charged residues within a basic cluster, RFRRKRR, located in the large cytoplasmic loop following the C-terminal end of M3. Neutralization of one or more charges of this cluster, but not of other charged residues in the M3-M4 loop, led to an aberrant translocation into the endoplasmic reticulum lumen of the M3-M4 loop. However, when two of the three basic charges located in the ectodomain linking M2 and M3 were neutralized, in addition to two charges of the basic cluster, endoplasmic reticulum disposition of the M3-M4 loop was prevented. We conclude that a high density of basic residues C-terminal to M3 is required to compensate for the presence of positively charged residues in the M2-M3 ectodomain, which otherwise impair correct membrane integration of the M3 segment. Part three of this Dissertation describes my contribution (blue native PAGE analysis of metabolically labeled alpha7 and 5HT3A receptors and the examination of the glycosylation state of metabolically labeled alpha7 subunits) to a work on the limited assembly capacity of Xenopus oocytes for nicotinic alpha7 subunits. While 5HT3A subunits combined efficiently to pentamers, alpha7 subunits existed in various assembly states including trimers, tetramers, pentamers, and aggregates. Only alpha7 subunits that completed the assembly process to homopentamers acquired complex-type carbohydrates and appeared at the cell surface. We conclude that Xenopus oocytes have a limited capacity to guide the assembly of alpha7 subunits, but not 5HT3A subunits to homopentamers. Accordingly, ER retention of imperfectly assembled alpha7 subunits rather than inefficient routing of fully assembled alpha7 receptors to the cell surface limits surface expression levels of alpha7 nicotinic acetylcholine receptors. Part four of this Dissertation describes my contribution (the biochemical analysis of the human P2X2 and P2X6 subtypes) to studies on the quaternary structure of P2X receptors. Armaz Aschrafi, the main author of the paper showed that subsequent to isolation under non-denaturing conditions from Xenopus oocytes the His-rP2X2 protein migrated on blue native PAGE predominantly in an aggregated form. The only discrete protein band detectable could be assigned to homotrimers of the His-rP2X2 subunit. Because of the exceptional assembly-behaviour of the rP2X2 protein compared to the rP2X1, rP2X3, rP2X4 and rP2X5 proteins, its human orthologue was investigated in the same manner. In contrast to rP2X2 subunits, hP2X2 subunits migrated under virtually identical conditions in a single defined assembly state, which could be clearly assigned to a trimer. P2X6 subunits represent the sole P2X subtype that is unable to form functional homomeric receptors in Xenopus oocytes. The blue native PAGE analysis of metabolically labeled hP2X6 receptors and the examination of the glycosylation state revealed that hP2X6 subunits form tetramers and aggregates that are not exported to the plasma membrane of Xenopus oocytes.
This thesis is devoted to the study of Micro Structured Electrode (MSE) sustained discharges. Innovative approaches in this work are i) the implementation of MSE arrays for high-pressure plasma generation and ii) the use of diode laser atomic absorption spectroscopy for investigating sub-millimetric discharges. By means of MSE arrays the discharge gap is scaled down to the sub-millimetric range and accordingly the working pressure could be increased up to atmospheric. It should be underlined that besides the ease of use, since expensive vacuum equipment is not required, high-pressure discharges offer also a high density of active species. A MSE consists of holes, regularly distributed in a composite sheet made of two metal layers separated by an insulator. The electrodes and insulator thickness and the diameter of the holes are in the 100 micrometer range. Based on these microstructures stable non-filamentary DC discharges are generated in noble gases and gas mixtures at pressures up to 1000 mbar. The MSE sustained discharge can be considered as a normal glow discharge whereby the excitation and ionization efficiency is increased by the specific electrode configuration (hollow cathode geometry). Large area high-pressure plasma can be achieved by parallel operation of a large number of microdischarges. Parallel operation of up to 200 microdischarges without individual ballast was proven for pressures up to 300 mbar. Furthermore, arrays of resistively decoupled microdischarges were operated up to atmospheric pressure. Spectral investigations have revealed the presence of highly energetic electrons (20 eV), a large density of atoms in metastable states (1013 cm-3) and a high electron density (1015 cm-3). Although the plasma confined inside the hole of the MSE may reach gas temperatures up to 1000 K, the ambient gas temperature immediately above the microstructure exceeds only slightly the room temperature. The reactivity of the MSE sustained discharge was demonstrated in respect to waste gas decomposition and surface treatment. The MSE arrays are providing a non-equilibrium high-pressure plasma, which is very promising for surface processing, plasma chemistry and generation of UV radiation.