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Seit einigen Jahrzehnten wollen Biochemiker, Mediziner, Biologen und Pharmazeuten weltweit nicht mehr auf eine bioanalytische Methode verzichten, an deren Entwicklung der Frankfurter Wissenschaftler Prof. Dr. Michael Karas vom Institut für Pharmazeutische Chemie der Goethe-Universität maßgeblich beteiligt war. Die Rede ist von der Matrix-unterstützten Laser-Desorptions- / Ionisations-Massenspektrometrie – kurz MALDI-MS.
Kraftfelder sind ein vielseitiges Werkzeug zur schnellen Berechnung vielfältiger Moleküleigenschaften. Die Qualität der damit erhaltenen Vorhersagen ist auch ein Maß, wie gut die wichtigen Einflussgrößen verstanden und vor allem in das Kraftfeld-Modell integriert sind. Bei der Parametrisierung müssen viele Effekte gegeneinander ausbalanciert werden, da die Kraftfeldterme nicht unabhängig voneinander betrachtet werden können. Umfangreiche Testrechnungen sind erforderlich, um die notwendige Qualität der Parameter sicher zu stellen. Eine Automatisierung dieses Prozesses bringt nicht nur eine enorme Zeitersparnis, sie zwingt auch zur sorgfältigen Definition von Vorgaben und Qualitätskriterien. Die Formulierung einer Strategie in einem Programm anstelle von „intelligentem Raten“ fördert zudem ein tieferes Verständnis. Bei einer Änderung der Strategie muss nur das entsprechende Programm geändert werden, dem Entwickler bleibt der manuelle Test erspart. Automatische Methoden zur Plausibilitätsprüfung vermeiden Probleme durch Fehler bei der Dateneingabe von Hand. Die programmgesteuerte Erstellung aussagekräftiger Protokolle und Grafiken macht die Fülle der bei der Parametrisierung und Evaluierung eines Kraftfeldes anfallenden Informationen für den Benutzer überschaubar. Probleme und deren Zusammenhang können so leichter erfasst werden. Für das MOMO-Kraftfeld konnten auf diese Weise verbesserte und neue Parameter für Wasserstoffbrücken abgeleitet werden, zwei empirische Punktladungsmodelle und deren Verträglichkeit mit zwei quantenchemischen Modellen verbessert und prinzipielle Probleme bei deren Vereinbarkeit erkannt werden sowie die automatische Parametrisierung von Bindungslängen, Bindungswinkeln und Torsionswinkeln ermöglicht werden. Bei Letzterem konnte jedoch keine Verbesserung gegenüber den Originalparametern erreicht werden, was nicht weiter verwunderlich ist, da diese seit Jahrzehnten entwickelt worden sind, wohingegen Wasserstoffbrücken und Partialladungen erst später hinzugekommen sind und nicht so umfangreich wie die bindenden Kraftfeldterme getestet wurden. Voraussetzung für die hier gewählte Vorgehensweise, alle Arbeiten weitgehend zu automatisieren und Strategien immer in Programme umzusetzen, waren sehr umfangreiche Programmierarbeiten. Ziel war es, auf einfache Weise die Steuerung des Kraftfeldes aus kleineren Programmen, die spezielle Probleme bearbeiten, zuzulassen. Durch die Nutzung zahlreicher Open-Source-Projekte, die gemeinsam die gewünschte Funktionalität zur Verfügung stellen, konnte der Aufwand auf die dazu passende Implementierung des MOMO-Kraftfeldes und das Verbinden mit der von diesen Projekten bereitgestellten Software beschränkt werden. Der Kern des MOMO-Kraftfeldes wurde aus Geschwindigkeitsgründen in der Compilersprache C geschrieben, Datenein- und -ausgabe und die Programme zur Parametrisierung und Auswertung wurden in Python geschrieben.
PELDOR (pulse electron-electron double resonance) is an established method to study intramolecular distances and can give evidence for conformational changes and flexibilities. However, it can also be used to study intermolecular interactions as for example oligerimization. Here, we used PELDOR to study the ‘end-to-end’ stacking of small double stranded (ds)RNAs. For this study, the dsRNA molecules were only singly labelled with the spin label TPA to avoid multi-spin effects and to measure only the intermolecular stacking interactions. It can be shown that small dsRNAs tend to assemble to rod-like structures due to π-π-interactions between the base pairs at the end of the strands. On the one hand, these interactions can influence or complicate measurements aimed at the determining of the structure and dynamics of the dsRNA molecule itself. On the other hand, it can be interesting to study such intermolecular stacking interactions in more detail, as for example their dependence on ion concentration. We quantitatively determined the stacking probability as a function of the monovalent NaCl salt and the dsRNA concentration. From this data the dissociation constant Kd was deduced and found to depend on the ratio between the NaCl salt and dsRNA concentrations. Additionally, the distances and distance distributions obtained predict a model for the stacking geometry of dsRNAs. Introducing a nucleotide overhangs at one end of the dsRNA molecule restricts the stacking to the other end, leading only to dimer formations. Introducing such an overhang at both ends of the dsRNA molecule fully suppresses stacking, as we could demonstrate by PELDOR experiments quantitatively.
Chemokines play a key role in the cellular infiltration of inflamed tissue. They are released by a wide variety of cell types during the initial phase of host response to injury, allergens, antigens, or invading microorganisms, and selectively attract leukocytes to inflammatory foci, inducing both migration and activation. Monocyte chemoattractant protein-1 (MCP-1), a member of the CC chemokine superfamily, functions in attracting monocytes, T lymphocytes, and basophils to sites of inflammation. MCP-1 is produced by monocytes, fibroblasts, vascular endothelial cells and smooth muscle cells in response to various stimuli such as tumour necrosis factor-a (TNF-a), interferon-g (IFN-g), and interleukin-1b (IL-1b). It also plays an important role in the pathogenesis of chronic inflammation, and overexpression of MCP-1 has been implicated in diseases including glomerulonephritis and rheumatoid arthritis. Oligonucleotide-directed triple helix formation offers a means to target specific sequences in DNA and interfere with gene expression at the transcriptional level. Triple helix-forming oligonucleotides (TFOs) bind to homopurine/homopyrimidine sequences, forming a stable, sequence-specific complex with the duplex DNA. Purine-rich sequences are frequent in gene regulatory regions and TFOs directed to promoter sequences have been shown to prevent binding of transcription factors and inhibit transcription initiation and elongation. Exogenous TFOs that bind homopurine/ homopyrimidine DNA sequences and form triple-helices can be rationally designed, while the intracellular delivery of single-stranded RNA TFOs has not been studied in detail before. In this study, expression vectors were constructed which directed transcription of either a 19 nt triplex-forming pyrimidine CU-TFO sequence targeting the human MCP-1 or two different 19 nt GU- or CA-control sequences, respectively, together with the vector encoded hygromycin resistance mRNA as one fusion transcript. HEK 293 cells were stable transfected with these vectors and several TFO and control cell lines were generated. Functional relevant triplex formation of a TFO with a corresponding 19 bp GC-rich AP-1/SP-1 site of the human MCP-1 promoter was shown. Binding of synthetic 19 nt CUTFO to the MCP-1 promoter duplex was verified by triplex blotting at pH 6.7. Underlining binding specificity, control sequences, including the GU- and CA-sequence, a TFO containing one single mismatch and a MCP-1 promoter duplex containing two mismatches, did not participate in triplex formation. Establishing a magnetic capture technique with streptavidin microbeads it was verified that at pH 7.0 the 19 nt TFO embedded in a 1.1 kb fusion transcript binds to a plasmid encoded MCP-1 promoter target duplex three times stronger than the controls. Finally, cell culture experiments revealed 76 ± 10.2% inhibition of MCP-1 protein secretion in TNF-a stimulated CU-TFO harboring cell lines and up to 88% after TNF-a and IFN-g costimulation in comparison to controls. Expression of interleukin-8 (IL-8) as one TNF-a inducible control gene was not affected by CU-TFO, demonstrating both highly specific and effective chemokine gene repression. Furthermore, another chemokine target, regulated upon activation normal T cell expressed and secreted (RANTES), which plays an essential role in inflammation by recruiting T lymphocytes, macrophages and eosinophils to inflammatory sites, was analysed using the triplex approach. A 28 nt TFO was designed targeting the murine RANTES gene promoter, and gel mobility shift assays demonstrated that the phosphodiester TFO formed a sequencespecific triplex with the double-stranded target DNA with a Kd of 2.5 x 10-7 M. It was analysed whether RANTES expression could be inhibited at the transcriptional level testing the TFO in two different cell lines, T helper-1 lymphocytes and brain microvascular endothelial cells (bend3 cells). Although there was a sequence-specific binding of the TFO detectable in the gel shift assays, there was no inhibitory effect of the exogenously added and phosphorothioate stabilised TFO on endogenous RANTES gene expression visible. Additionally, the small interfering RNA (siRNA) approach was tested as another strategy to inhibit expression of the pro-inflammatory chemokines MCP-1 and RANTES. Two different methods were pursuit, describing transient transfection with vector derived and synthetic siRNA. The vector pSUPER containing the siRNA coding sequence was used to suppress endogenous MCP-1 in HEK 293 cells. An empty vector without RNA sequence served as a control. Inhibition due to the siRNA was measured in stimulated and unstimulated cells. In TNF-a stimulated cells MCP-1 protein synthesis was decreased by 35 ± 11% after siRNA transfection. Using a synthetic double-stranded siRNA, the TNF-a induced MCP-1 protein secretion could be successfully inhibited about 62.3 ± 10.3% in HEK 293 cells, indicating that the siRNA is functional in these cells to suppress chemokine expression. The siRNA approach targeting murine RANTES in Th1 cells and b-end3 cells revealed no inhibition of endogenous gene expression. Gene therapy approaches rely on efficient transfer of genes to the desired target cells. A wide variety of viral and nonviral vectors have been developed and evaluated for their efficiency of transduction, sustained expression of the transgene, and safety. Among them, lentiviruses have been widely used for gene therapy applications. In order to improve the delivery of TFOs or siRNAs into the target cells, cloning of the lentiviral transfer vector SEW, the production of lentiviral particles by transient transfection were performed with the aim to generate lentiviral vector-derived TFOs in further experiments. Here, Th1 cells were transduced with infectious lentiviral particles and transduction efficacy was measured. Transduction efficacy higher than 82% could be achieved using the lentiviral vector SEW, opening optimal possibilities for the TFO or siRNA approach.