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Characterization of mouse NOA1 : subcellular localizaion, G-Quadruplex binding and proteolysis
(2013)
Mitochondria contain their own protein synthesis machinery with mitoribosomes that are similar to prokaryotic ribosomes. The thirteen proteins encoded in the mitochondrial genome are members of the respiratory chain complexes that generate a proton gradient, which is the electromotoric force for ATP synthesis.
NOA1 (Nitric Oxide Associated Protein-1) is a nuclear encoded GTPase that positively influences mitochondrial respiration and ATP production. Although a role in mitoribosome assembly was assigned to NOA1 the underlying molecular mechanism is poorly understood. This work shows that the multi-domain protein NOA1 serves multiple purposes for the function of mitochondria. NOA1 is a dual localized protein that makes a detour through the nucleus before mitochondrial import. The nuclear shuttling is mediated by a nuclear localization signal and the now identified nuclear export signal. SELEX (Systemic Evolution of Ligands by Exponential Enrichment) analysis revealed a G-quadruplex binding motif that characterizes NOA1 as ribonucleoprotein (RNP). G-quadruplex binding was coupled to the GTPase activity and increased the GTP hydrolysis rate. The sequence of localization events and the identification of NOA1 being a RNP lead to the discussion of an alternative import pathway for RNPs into mitochondria. The short-lived NOA1 contains ClpX recognition motifs and is specifically degraded by the mitochondrial matrix protease ClpXP. NOA1 is the first reported substrate of ClpXP in higher eukaryotes and augments the contribution of the ClpXP protease for mitochondrial metabolism. To assess the direct action of NOA1 on the mitoribosome co-sedimentation assays were performed. They showed that the interaction of NOA1 and the mitoribosome is dependent on the GTPase function and the nascent peptide chain. In vitro, NOA1 facilitated the membrane insertion of newly translated and isotope labeled mitochondrial translation products into inverted mitochondrial inner membrane vesicles. In conclusion, NOA1 is a G-quadruplex-RNP that acts as mitochondrial membrane insertion factor for mtDNA-encoded proteins.
This thesis provides a comprehensive model of the molecular function of NOA1 and is the basis for future research. The identification of NOA1 as ClpXP substrate is a major contribution to the field of mitochondrial research.
4-(4-Nitrophenoxy)biphenyl
(2009)
The two phenyl rings of the biphenyl unit of the title compound, C18H13NO3, are almost coplanar [dihedral angle 6.70 (9)°]. The nitrophenyl ring, on the other hand, is significantly twisted out of the plane of the these two rings, making dihedral angles of 68.83 (4)° with the middle ring and 62.86 (4)° with the end ring. The nitro group is twisted by 12.1 (2)° out of the plane of the phenyl ring to which it is attached. Key indicators: single-crystal X-ray study; T = 173 K; mean σ(C–C) = 0.002 A° ; R factor = 0.040; wR factor = 0.118; data-to-parameter ratio = 12.8.
The title compound, C22H28N2O6, crystallizes with four half-molecules in the asymmetric unit: each molecule is located about a crystallographic inversion centre. The central methylene groups of two molecules are disordered over two sets of equally occupied sites. The crystal packing is characterized by sheets of molecules parallel to (114).
The neuronal transcriptome changes dynamically to adapt to stimuli from the extracellular and intracellular environment. In this study, we adapted for the first time a click chemistry technique to label the newly synthesized RNA in cultured hippocampal neurons and intact larval zebrafish brain. Ethynyl uridine (EU) was incorporated into neuronal RNA in a time- and concentration-dependent manner. Newly synthesized RNA granules observed throughout the dendrites were colocalized with mRNA and rRNA markers. In zebrafish larvae, the application of EU to the swim water resulted in uptake and labeling throughout the brain. Using a GABA receptor antagonist, PTZ (pentylenetetrazol), to elevate neuronal activity, we demonstrate that newly transcribed RNA signal increased in specific regions involved in neurogenesis.
C2-symmetric bisamidines : chiral Brønsted bases catalysing the Diels-Alder reaction of anthrones
(2008)
C2-symmetric bisamidines 8 have been tested as chiral Brønsted bases in the Diels- Alder reaction of anthrones and N-substituted maleimides. High yields of cycloadducts and significant asymmetric inductions up to 76% ee are accessible. The proposed mechanism involves proton transfer between anthrone and bisamidine, association of the resulting ions and finally a cycloaddition step stereoselectively controlled by the chiral ion pair.
Charakterisierung intrazellulärer Bindepartner von metabotropen Glutamatrezeptoren der Gruppe III
(2001)
Die Aminosäure Glutamat ist der maßgebliche exzitatorische Neurotransmitter im zentralen Nervensystem, und glutamaterge Synapsen sind weit über das ganze Hirn ver breitet. Neben den Ionenkanalgekoppelten (ionotropen) Glutamatrezeptoren (iGluRs) aktiviert Glutamat auch prä und postsynaptische metabotrope Glutamatrezeptoren (mGluRs), die über trimere GProteine und nachgeschalteten Signalkaskaden Einfluss auf die Signalverarbeitung in der Synapse nehmen können (Pin und Duvoisin, 1995). Diesen Rezeptoren werden Aufgaben bei verschiedenen Formen neuronaler Plastizität und Neurotoxizität zugeschrieben (Pizzi et al., 1993; Pin und Duvoisin, 1995; Pekh letski et al., 1996; Pizzi et al., 1996a; Bushell et al., 1997; Maiese et al., 2000; Sabel haus et al., 2000). Zur Zeit sind acht verschiedene mGluRs zuzüglich ihrer Spleißvarian ten bekannt, die in drei Gruppen gegliedert werden, welche sich in ihrer Lokalisation, Struktur und pharmakologischen Eigenschaften unterscheiden (Nakanishi, 1992; Pin et al., 1993). Mitglieder der Gruppe III mGluRs sind spezifisch an der aktiven Zone der Präsy napse lokalisiert und dort an der Regulation der Neurotransmission beteiligt (Shigemoto et al., 1996; Ottersen und Landsend, 1997). Die Mechanismen, die zur spezifischen Lo kalisation führen, konnten bislang noch nicht aufgezeigt werden. Bereits im Vorfeld dieser Arbeit wurde eine Ca 2 abhängige Interaktion von Calmodulin (CaM) mit mGluR7a durch Kopräzipitationsstudien gezeigt. Die CaMBindung ist dabei von phy siologischer Relevanz für die Aktivierung des Rezeptors (O'Connor et al., 1999). In der vorliegenden Arbeit wurde nach neuen Interaktionspartnern für die Gruppe III mGluRs gesucht, um so weitere Aufschlüsse über die präsynaptische Verankerung und Regulati on dieser Rezeptorgruppe zu gewinnen. In einem ZweiHybridScreen konnten dabei die Proteine PxF und SGT, beides Genprodukte unbekannter Funktion, als zwei mögliche Interaktionspartner für mGluR4b identifiziert werden. Die Natur dieser Interaktionen konnte im Verlauf dieser Arbeit nicht genauer bestimmt werden und bleibt somit Gegenstand weiterer Untersuchungen. In einem parallelem Ansatz wurde die Interaktion von mGluR7a mit CaM näher untersucht. Dabei konnte ein hochkonservierter Bereich in allen Gruppe III mGluRs mit Ausnahme von mGluR4b und mGluR6 identifiziert werden, der eine Konsensussequenz zur CaMBindung (1510Motiv) enthält. Neben der CaMBindung konnte für diesen Bereich in Zusammenarbeit mit der Arbeitsgruppe von Dr. Michael Freissmuth auch eine Interaktion mit Gbetagamma nachgewiesen werden. Die GbetagammaBindung an den Rezeptor wird durch Ca 2 abhängige Aktivierung von CaM gehemmt. Es wird daher ein Modell zur dualen Aktivierung von Gruppe III mGluRs vorgeschlagen, welches mögliche Mecha nismen zur negativen Rückkopplung der Glutamatfreisetzung aufzeigt. Zusätzlich wurde eine mögliche Regulation der Gruppe III mGluRs durch PKC Phosphorylierung untersucht. Dabei konnte die in vitroPhosphorylierung eines einzel nen Restes (S862) im intrazellulären CTerminus von mGluR7a nachgewiesen werden, welche zur Hemmung der CaMBindung führte. Aufgrund dieser Daten wird ein erwei tertes Modell formuliert, in dem die Hemmung der Ca 2 /CaMabhängigen Aktivierung der GProteinsignalkaskade durch Phosphorylierung von mGluR7a eine übergeordnete Regulation des Rezeptors darstellt. Da die Gruppe III mGluRs bei Aktivierung zu einer Selbsthemmung der Neuro transmission führen (Pin und Duvoisin, 1995; Takahashi et al., 1996), stellt deren Ca 2 /CaMregulierte Aktivierung und die zusätzliche Regulation durch Phosphorylie rung eine Möglichkeit der Regulation von Lernprozessen dar.
Modelling protein flexibility and plasticity is computationally challenging but important for understanding the function of biological systems. Furthermore, it has great implications for the prediction of (macro) molecular complex formation. Recently, coarse-grained normal mode approaches have emerged as efficient alternatives for investigating large-scale conformational changes for which more accurate methods like MD simulation are limited due to their computational burden. We have developed a Normal Mode based Simulation (NMSim) approach for efficient conformation generation of macromolecules. Combinations of low energy normal modes are used to guide a simulation pathway, whereas an efficient constraints correction approach is applied to generate stereochemically allowed conformations. Non-covalent bonds like hydrogen bonds and hydrophobic tethers and phi-psi favourable regions are also modelled as constraints. Conformations from our approach were compared with a 10 ns MD trajectory of lysozyme. A 2-D RMSD plot shows a good overlap of conformational space, and rms fluctuations of residues show a correlation coefficient of 0.78 between the two sets of conformations. Furthermore, a comparison of NMSim simulations starting from apo structures of different proteins show that ligand-bound conformations can be sampled for those cases where conformational changes are mainly correlated, e.g., domain-like motion in adenylate kinase. Efforts are currently being made to also model localized but functionally important motions for protein binding pockets and protein-protein interfaces using relevant normal mode selection criteria and implicit rotamer basin creation.
Specific functions of biological systems often require conformational transitions of macromolecules. Thus, being able to describe and predict conformational changes of biological macromolecules is not only important for understanding their impact on biological function, but will also have implications for the modelling of (macro)molecular complex formation and in structure-based drug design approaches. The “conformational selection model” provides the foundation for computational investigations of conformational fluctuations of the unbound protein state. These fluctuations may reveal conformational states adopted by the bound proteins. The aim of this work is to incorporate directional information in a geometry-based approach, in order to sample biologically relevant conformational space extensively. Interestingly, coarse-grained normal mode (CGNM) approaches, e.g., the elastic network model (ENM) and rigid cluster normal mode analysis (RCNMA), have emerged recently and provide directions of intrinsic motions in terms of harmonic modes (also called normal modes). In my previous work and in other studies it has been shown that conformational changes upon ligand binding occur along a few low-energy modes of unbound proteins and can be efficiently calculated by CGNM approaches. In order to explore the validity and the applicability of CGNM approaches, a large-scale comparison of essential dynamics (ED) modes from molecular dynamics (MD) simulations and normal modes from CGNM was performed over a dataset of 335 proteins. Despite high coarse-graining, low frequency normal modes from CGNM correlate very well with ED modes in terms of directions of motions (average maximal overlap is 0.65) and relative amplitudes of motions (average maximal overlap is 0.73). In order to exploit the potential of CGNM approaches, I have developed a three-step approach for efficient exploration of intrinsic motions of proteins. The first two steps are based on recent developments in rigidity and elastic network theory. Initially, static properties of the protein are determined by decomposing the protein into rigid clusters using the graph-theoretical approach FIRST at an all-atom representation of the protein. In a second step, dynamic properties of the molecule are revealed by the rotations-translations of blocks approach (RTB) using an elastic network model representation of the coarse-grained protein. In the final step, the recently introduced idea of constrained geometric simulations of diffusive motions in proteins is extended for efficient sampling of conformational space. Here, the low-energy (frequency) normal modes provided by the RCNMA approach are used to guide the backbone motions. The NMSim approach was validated on hen egg white lysozyme by comparing it to previously mentioned simulation methods in terms of residue fluctuations, conformational space explorations, essential dynamics, sampling of side-chain rotamers, and structural quality. Residue fluctuations in NMSim generated ensemble is found to be in good agreement with MD fluctuations with a correlation coefficient of around 0.79. A comparison of different geometry-based simulation approaches shows that FRODA is restricted in sampling the backbone conformational space. CONCOORD is restricted in sampling the side-chain conformational space. NMSim sufficiently samples both the backbone and the side-chain conformations taking experimental structures and conformations from the state of the art MD simulation as reference. The NMSim approach is also applied to a dataset of proteins where conformational changes have been observed experimentally, either in domain or functionally important loop regions. The NMSim simulations starting from the unbound structures are able to reach conformations similar to ligand bound conformations (RMSD < 2.4 Å) in 4 out of 5 cases of domain moving proteins. In these four cases, good correlation coefficients (R > 0.7) between the RMS fluctuations derived from NMSim generated structures and two experimental structures are observed. Furthermore, intrinsic fluctuations in NMSim simulation correlate with the region of loop conformational changes observed upon ligand binding in 2 out of 3 cases. The NMSim generated pathway of conformational change from the unbound structure to the ligand bound structure of adenylate kinase is validated by a comparison to experimental structures reflecting different states of the pathway as proposed by previous studies. Interestingly, the generated pathway confirms that the LID domain closure precedes the closing of the NMPbind domain, even if no target conformation is provided in NMSim. Hence, the results in this study show that, incorporating directional information in the geometry-based approach NMSim improves the sampling of biologically relevant conformational space and provides a computationally efficient alternative to state of the art MD simulations.
The three-dimensional structure determination of RNAs by NMR spectroscopy relies on chemical shift assignment, which still constitutes a bottleneck. In order to develop more efficient assignment strategies, we analysed relationships between sequence and 1H and 13C chemical shifts. Statistics of resonances from regularly Watson– Crick base-paired RNA revealed highly characteristic chemical shift clusters. We developed two approaches using these statistics for chemical shift assignment of double-stranded RNA (dsRNA): a manual approach that yields starting points for resonance assignment and simplifies decision trees and an automated approach based on the recently introduced automated resonance assignment algorithm FLYA. Both strategies require only unlabeled RNAs and three 2D spectra for assigning the H2/C2, H5/C5, H6/C6, H8/C8 and H10/C10 chemical shifts. The manual approach proved to be efficient and robust when applied to the experimental data of RNAs with a size between 20 nt and 42 nt. The more advanced automated assignment approach was successfully applied to four stemloop RNAs and a 42 nt siRNA, assigning 92–100% of the resonances from dsRNA regions correctly. This is the first automated approach for chemical shift assignment of non-exchangeable protons of RNA and their corresponding 13C resonances, which provides an important step toward automated structure determination of RNAs.
(Coumarin‐4‐yl)methyl (c4m) and p‐hydroxyphenacyl (pHP)‐based compounds are well known for their highly efficient photoreactions, but often show limited solubility in aqueous media. To circumvent this, we synthesized and characterized the two new c4m and pHP‐based photoacid generators (PAGs), 7‐[bis(carboxymethyl)amino]‐4‐(acetoxymethyl)coumarin (c4m‐ac) and p‐hydroxyphenacyl‐2,5,8,11‐tetraoxatridecan‐13‐oate (pHP‐t), and determined their solubilities, stabilities and photolysis in aqueous media. The two compounds showed high solubilities in water of 2.77 mmol L−1±0.07 mmol L−1 (c4m‐ac) and 124.66 mmol L−1±2.1 mmol L−1 (pHP‐t). In basic conditions at pH 9, solubility increased for c4m‐ac to 646.46 mmol L−1±0.63 mmol L−1, for pHP‐t it decreased to 34.68 mmol L−1±0.62 mmol L−1. Photochemical properties of the two PAGs, such as the absorption maxima, the maximum molar absorption coefficients and the quantum yields, were found to be strongly pH‐dependent. Both PAGs showed high stabilities s24h ≥95 % in water for 24 h, but decreasing stability with increasing pH value due to hydrolysis. The present study contributes to a clearer insight into the synthesis, solubilities, stabilities, and photolysis of c4m and pHP‐based PAGs for further photochemical applications when high PAG concentrations are required, such as in polymeric foaming.