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The knowledge of three-dimensional structures of biomolecules is fundamental for the understanding of their function. Nuclear magnetic resonance (NMR) spectroscopy represents besides X-ray crystallography one of the two most widely used techniques to study macromolecules at atomic resolution. Its application has long been a laborious task that could take months and required the expertise of an experienced scientist, however, owing to the tremendous effort that has been put into the development of respective computer algorithms, structure determination by NMR spectroscopy of small- to medium sized proteins is nowadays routinely performed. CYANA is one widely used software package, which combines the majority of individual steps towards a three-dimensional structure. The most common application of the program, however, restricts to the combined automated NOE assignment and structure calculation based on NOESY peak lists and an existing chemical shift assignment. Completely automated structure determination starting from NMR spectra is to date technically possible with CYANA, however, not yet routinely applied. In order to achieve this long-term goal, the individual steps need to become more robust with regard to data imperfections such as peak overlap, spectral artifacts or a limited amount of NMR data. The work presented in this thesis should be placed within the context of increasing the reliability and improving the accuracy of structures determined by CYANA on the basis of solution- as well as solid-state NMR data.
The chapter “Systematic evaluation of combined automated NOE assignment and structure calculation with CYANA” comprises an extensive study on the robustness of the combined automated NOE assignment and structure calculation algorithm based on experimental solution NMR data sets that were modified in multiple ways to mimic different kinds of data imperfections. The results show that the algorithm is remarkably robust with regard to imperfections of the NOESY peak lists and the chemical shift tolerances but susceptible to lacking or erroneous resonance assignments, in particular for nuclei that are involved in many NOESY cross peaks.
In the chapter “Peakmatch – A simple and robust tool for peaklist matching” a method to achieve self-consistency of the chemical shift referencing among a set of peak lists is presented. The Peakmatch algorithm matches a set of peak lists to a specified reference peak list, neither of which have to be assigned, by optimizing an assignment-free match-score function. The algorithm has been extensively tested on the basis of experimental NMR data sets of five different proteins. The results show that peak lists from many different types of spectra can be matched reliably as long as they contain at least two corresponding dimensions.
NMR structures are represented by bundles of conformers whose spread indicates the precision of the atomic coordinates. However, there is as yet no reliable measure of structural accuracy, i.e. how close NMR conformers are to the “true” structure. Instead, the precision of structure bundles is widely (mis)interpreted as a measure of structural quality. Attempts to increase the precision thus often yield tight structure bundles where the precision overestimates the accuracy. To overcome this problem, the chapter “Increased reliability of NMR protein structures by consensus structure bundles” introduces a new protocol for NMR structure determination with the software package CYANA that produces bundles of conformers with a realistic precision that is throughout a large number of test data sets a much better estimate of the structural accuracy than the precision of conventional structure bundles.
Solid-state NMR is a powerful technique to study molecules which are not amenable to either solution NMR or X-ray crystallography. Despite the reporting of individual atomic resolution structures of membrane proteins and amyloid fibrils based on solid-state NMR data, the application is far from routine. One major obstacle that hinders structure determination by solid-state NMR is the overall lower quality of the solid-state NMR spectra. It is therefore necessary to increase the robustness of the computer algorithms in order to improve the results when using lower quality solid-state NMR spectra. The chapter “Structure calculations of the model protein GB1 from solid-state NMR data” presents structure calculations on the basis of a set of two-dimensional solid-state NMR experiments of the model protein GB1. The most important result obtained from these test calculations is that the limitation of structural accuracy can be attributed to inaccurate distance information resulting from the limited correlation between peak intensities and distance, which is especially severe in spin diffusion-based solid-state NMR experiments.
The chapter “Full relaxation matrix-based correction of relayed polarization transfer for solid-state NMR structure calculation” therefore introduces a method which corrects experimental peak intensities for spin diffusion in order to improve the distance information from solid-state NMR spectra. The results show that the structural accuracy can be significantly improved when using the corrected distance information, however, strongly dependent on the preliminary structural model that is required as input for the method.
G protein coupled receptors (GPCRs) constitute the largest family of cell-surface receptors in mammals and are key players in signal transduction. By responding to a plethora of extracellular stimuli ranging from photons to amines to fatty acids to peptides and proteins, these receptors trigger intracellular signalling cascades and regulate a variety of cellular responses. Approximately 800 genes in humans encode GPCRs which are classified according to sequence conservation into rhodopsin-like, glutamate, adhesion, frizzled/taste2 and secretin receptors. GPCRs share a seven transmembrane domain fold undergoing a conformational change upon ligand binding which is translated to the intracellular surface of the receptor thereby allowing a heterotrimeric G protein to couple. Heterotrimeric G proteins consist of a Ga, Gb and Gg subunit and dissociate into their Ga and Gbg entities upon activation by a GPCR. Subsequently, distinct signalling cascades are triggered by each G protein protomer.
Membrane proteins and GPCRs in particular, are highly important targets in drug design and development as currently approximately 60% of all marketed drugs target membrane proteins. Although these classes of proteins are of high therapeutic interest, our understanding of their mechanism of action and structure remains limited. The first structure of a human GPCR was determined in 2007 and required the development of protein engineering and innovative crystallisation techniques. Since then, approximately 130 GPCR structures of less than 40 individual receptors have been determined providing insights into the structural arrangement of the transmembrane helices, ligand binding pockets and G protein interactions. Combined with spectroscopic methods, these studies allowed a more detailed understanding of the molecular aspects of GPCR activation and signalling. Despite the tremendous advances in GPCR structural biology, certain aspects of GPCR function still remain poorly understood. Due to their size and inherent flexibility, the interaction of protein and peptide ligands with their receptors remains a challenging aspect in the structural characterisation of GPCRs. Moreover, structural information on subtype selectivity of peptide ligands continues to be scarce. To contribute functional and structural information on the molecular mechanisms of peptide interactions with GPCRs, this thesis focused on characterising receptors from the chemoattractant cluster using radioligand binding assays as well as NMR spectroscopy.
The chemoattractant cluster mainly groups the kinin, angiotensin, anaphylatoxin chemotactic complement and apelin receptors according to conserved residues in their ligand binding cavities. All receptors in this cluster bind to peptide ligands deriving from high molecular weight protein precursors upon proteolytic processing. Comparable to the conserved binding pocket of the chemoattractant receptors, the peptide ligands display a certain sequence conservation although they differ strongly in size. The largest ligands used in this thesis are the anaphylatoxins complement 3a and 5a, comprising 77 or 74 residues, respectively. Due to their size and complex fold involving three intramolecular disulphide bonds, solid phase synthesis is impossible, which prompted us to develop a modified cell-free expression system to produce these ligands in tritiated form for subsequent functional characterisation of the complement receptors. To demonstrate the versatility of the developed system, it was applied to another disulphidebond containing peptide ligand, the 21 amino acid endothelin-1. We describe a reliable and multifaceted tool to generate custom labelled peptide ligands for the structural and functional characterisation of GPCRs. The system allows the production of custom radioligands, peptides labelled for NMR studies or with fluorescent amino acids.
Apart from the modulation of GPCR activity by orthosteric ligands, GPCR signalling has long been described to be regulated by allosteric ligands including peptides, small molecules and ions. In this thesis, the influence of sodium ions on the activity state of the chemoattractant cluster receptors and in particular on the apelin, bradykinin 2 and angiotensin II type 1 receptors was examined. In recent high resolution crystal structures an allosteric sodium ion pocket beneath the orthosteric ligand binding cavity was identified and residues contributing to the coordination of sodium ions are conserved throughout the chemoattractant cluster receptors. This allosteric sodium ion coordinated within the transmembrane domain bundle has been described to negatively influence the affinity of agonists but not of antagonists. It was found that sodium ions have distinct influences on the affinity state as well as the available number of binding sites of the chemoattractant receptors. In case of the apelin and bradykinin 2 receptors, sodium ions drastically reduced the number of available binding sites whereas the affinity of peptide ligands to the bradykinin 2 receptors remained constant and the ligand binding affinities to the apelin receptor were completely abolished. In contrast, the angiotensin II type 1 receptor affinity state towards the endogenous peptide ligand angiotensin II is highly dependent on the presence of sodium ions, whereas binding of the synthetic peptide antagonist Sar1-Ile8-angiotensin II remained unaffected by the sodium ion concentration. As differential effects irrespective of the efficacy class but dependent on the amino acid composition of the applied ligands are observed, it can be concluded that electrostatic interactions between charged residues of the peptide ligands and amino acids on the extracellular surface of the receptors are influenced by sodium ions thereby adding another layer of complexity on GPCR signalling.
To elucidate the structure-function relationship of ligand selectivity between the kinin receptors, the structure of desArg10-kallidin (DAK) bound to the bradykinin 1 receptor was determined using solid state NMR (SSNMR) in the course of this thesis. The kinin peptides DAK and bradykinin bind with high affinity and high selectivity to either the bradykinin 1 or bradykinin 2 receptor, respectively. The binding pockets of the receptors are highly conserved and the two peptide ligands only differ in one amino acid at their N- and C-termini whereas the remaining eight amino acids are fully conserved. DAK adopts a U-shaped structure when bound to the bradykinin 1 receptor which resembles a horse shoe-like conformation. Using 2D TEDOR spectroscopy it could furthermore be demonstrated that positively charged residues at the N-terminal part of the peptide engage in ionic interactions with negatively charged amino acids on the extracellular surface of the bradykinin 1 receptor. In contrast, bradykinin displays a distinct b-turn at the C-terminus and an S-shaped conformation of the N-terminal segment when bound to the bradykinin 2 receptor. By using SSNMR to study the binding mode of DAK on the bradykinin 1 receptor we could determine that subtype selectivity between the kinin receptors is conferred by distinct conformational restraints within the peptide ligands and by the formation of specific ionic interaction between charged residues on the peptide and receptor, respectively.
In brief, this thesis contributes structural and functional data on the binding mechanisms and binding mode of different peptide-ligand GPCRs helping to understand subtype selectivity and allosteric modulation of the chemoattractant cluster receptors. In addition, a versatile cell-free expression system was developed that allows the custom synthesis of isotopically labelled peptides containing disulphide bonds for the functional characterisation of GPCRs.
Transport processes across the membrane are essential to ensure survival of every living cell. Therefore, the exchange of membrane impermeable molecules is mediated by specific transport proteins, which are embedded in the lipid bilayer.
One important class comprises secondary active transporters, which couple very efficiently the uphill transport of the main substrate against its concentration gradient to the downhill transport of an additional substrate. These transporters are widely distributed among all kingdoms of life and accomplish many crucial functions. One function is to counteract the deleterious effect of hyperosmotic stress in bacteria. Several members of the BCCT (betaine-choline-carnitinetransport) family of secondary transporters mediate osmostress protection by the accumulation of the compatible solute betaine or its precursor choline (Lamark et al., 1991; Peter et al., 1996; Ziegler et al., 2010). Besides osmo-dependent sodium or proton-coupled symporters, the BCCT family includes few rare representatives of osmo-independent transporters such as the substrate:product antiporter CaiT from E. coli (Jung et al., 2002; Ziegler et al., 2010).
The best-characterized member of the BCCT family is the sodium-coupled betaine transporter BetP from Corynebacterium glutamicum. BetP together with the ABCtransporter OpuA and the H+-solute symporter ProP, became a paradigm for osmoregulated osmolyte transport. Although, all three transporters were extensively studied, the general mechanism of osmoregulation is still far from being understood. Thus, one task of this thesis was to elucidate further the regulatory properties of BetP.
BetP is tightly regulated by osmotic stress and is able to increase its basal betaine uptake activity dramatically upon elevated osmolalities within one second (Peter et al., 1998a). The osmotic stress is sensed by BetP via two stimuli, one is the increase of the internal K+ concentration above a threshold of 220 mM (Rübenhagen et al., 2001), the second is related to a change in the physical state of the membrane (Maximov et al., 2014). So far, several solved crystal structures in combination with functional and computational analysis provided insights into the coupling mechanism of betaine and its co-substrate sodium (Khafizov et al., 2012; Perez et al., 2012). Despite the wealth of data, the precise regulatory mechanism of trimeric BetP is still unclear.