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Ubiquitin fold modifier 1 (UFM1) is a member of the ubiquitin-like protein family. UFM1 undergoes a cascade of enzymatic reactions including activation by UBA5 (E1), transfer to UFC1 (E2) and selective conjugation to a number of target proteins via UFL1 (E3) enzymes. Despite the importance of ufmylation in a variety of cellular processes and its role in the pathogenicity of many human diseases, the molecular mechanisms of the ufmylation cascade remains unclear. In this study we focused on the biophysical and biochemical characterization of the interaction between UBA5 and UFC1. We explored the hypothesis that the unstructured C-terminal region of UBA5 serves as a regulatory region, controlling cellular localization of the elements of the ufmylation cascade and effective interaction between them. We found that the last 20 residues in UBA5 are pivotal for binding to UFC1 and can accelerate the transfer of UFM1 to UFC1. We solved the structure of a complex of UFC1 and a peptide spanning the last 20 residues of UBA5 by NMR spectroscopy. This structure in combination with additional NMR titration and isothermal titration calorimetry experiments revealed the mechanism of interaction and confirmed the importance of the C-terminal unstructured region in UBA5 for the ufmylation cascade.
RcsF, a proposed auxiliary regulator of the regulation of capsule synthesis (rcs) phosphorelay system, is a key element for understanding the RcsC-D-A/B signaling cascade, which is responsible for the regulation of more than 100 genes and is involved in cell division, motility, biofilm formation, and virulence. The RcsC-D-A/B system is one of the most complex bacterial signal transduction pathways, consisting of several membrane-bound and soluble proteins. RcsF is a lipoprotein attached to the outer membrane and plays an important role in activating the RcsC-d-A/B pathway. The exact mechanism of activation of the rcs phosphorelay by RcsF, however, remains unknown. We have analyzed the sequence of RcsF and identified three structural elements: 1) an N-terminal membrane-anchored helix (residues 3-13), 2) a loop (residues 14-48), and 3) a C-terminal folded domain (residues 49-134). We have determined the structure of this C-terminal domain and started to investigate its interaction with potential partners. Important features of its structure are two disulfide bridges between Cys-74 and Cys-118 and between Cys-109 and Cys-124. To evaluate the importance of this RcsF disulfide bridge network in vivo, we have examined the ability of the full-length protein and of specific Cys mutants to initiate the rcs signaling cascade. The results indicate that the Cys-74/Cys-118 and the Cys-109/Cys-124 residues correlate pairwise with the activity of RcsF. Interaction studies showed a weak interaction with an RNA hairpin. However, no interaction could be detected with reagents that are believed to activate the rcs phosphorelay, such as lysozyme, glucose, or Zn(2+) ions.
NMR structure calculation using NOE-derived distance restraints requires a considerable number of assignments of both backbone and sidechains resonances, often difficult or impossible to get for large or complex proteins. Pseudocontact shifts (PCSs) also play a well-established role in NMR protein structure calculation, usually to augment existing structural, mostly NOE-derived, information. Existing refinement protocols using PCSs usually either require a sizeable number of sidechain assignments or are complemented by other experimental restraints. Here, we present an automated iterative procedure to perform backbone protein structure refinements requiring only a limited amount of backbone amide PCSs. Already known structural features from a starting homology model, in this case modules of repeat proteins, are framed into a scaffold that is subsequently refined by experimental PCSs. The method produces reliable indicators that can be monitored to judge about the performance. We applied it to a system in which sidechain assignments are hardly possible, designed Armadillo repeat proteins (dArmRPs), and we calculated the solution NMR structure of YM4A, a dArmRP containing four sequence-identical internal modules, obtaining high convergence to a single structure. We suggest that this approach is particularly useful when approximate folds are known from other techniques, such as X-ray crystallography, while avoiding inherent artefacts due to, for instance, crystal packing.
Many naturally occurring or artificially created RNAs are capable of binding to guanine or guanine derivatives with high affinity and selectivity. They bind their ligands using very different recognition modes involving a diverse set of hydrogen bonding and stacking interactions. Apparently, the potential structural diversity for guanine, guanosine, and guanine nucleotide binding motifs is far from being fully explored. Szostak and coworkers have derived a large set of different GTP-binding aptamer families differing widely in sequence, secondary structure, and ligand specificity. The so-called class V–GTP aptamer from this set binds GTP with very high affinity and has a complex secondary structure. Here we use solution NMR spectroscopy to demonstrate that the class V aptamer binds GTP through the formation of an intermolecular two-layered G-quadruplex structure that directly incorporates the ligand and folds only upon ligand addition. Ligand binding and G-quadruplex formation depend strongly on the identity of monovalent cations present with a clear preference for potassium ions. GTP binding through direct insertion into an intermolecular G-quadruplex is a previously unobserved structural variation for ligand-binding RNA motifs and rationalizes the previously observed specificity pattern of the class V aptamer for GTP analogs.
The U-turn is a classical three-dimensional RNA folding motif first identified in the anticodon and T-loops of tRNAs. It also occurs frequently as a building block in other functional RNA structures in many different sequence and structural contexts. U-turns induce sharp changes in the direction of the RNA backbone and often conform to the 3-nt consensus sequence 5'-UNR-3' (N = any nucleotide, R = purine). The canonical U-turn motif is stabilized by a hydrogen bond between the N3 imino group of the U residue and the 3' phosphate group of the R residue as well as a hydrogen bond between the 2'-hydroxyl group of the uridine and the N7 nitrogen of the R residue. Here, we demonstrate that a protonated cytidine can functionally and structurally replace the uridine at the first position of the canonical U-turn motif in the apical loop of the neomycin riboswitch. Using NMR spectroscopy, we directly show that the N3 imino group of the protonated cytidine forms a hydrogen bond with the backbone phosphate 3' from the third nucleotide of the U-turn analogously to the imino group of the uridine in the canonical motif. In addition, we compare the stability of the hydrogen bonds in the mutant U-turn motif to the wild type and describe the NMR signature of the C+-phosphate interaction. Our results have implications for the prediction of RNA structural motifs and suggest simple approaches for the experimental identification of hydrogen bonds between protonated C-imino groups and the phosphate backbone.
An automated NMR chemical shift assignment algorithm was developed using multi-objective optimization techniques. The problem is modeled as a combinatorial optimization problem and its objective parameters are defined separately in different score functions. Some of the heuristic approaches of evolutionary optimization are employed in this problem model. Both, a conventional genetic algorithm and multi-objective methods, i.e., the non-dominated sorting genetic algorithms II and III (NSGA2 and NSGA3), are applied to the problem. The multi-objective approaches consider each objective parameter separately, whereas the genetic algorithm followed a conventional way, where all objectives are combined in one score function. Several improvement steps and repetitions on these algorithms are performed and their combinations are also created as a hyper-heuristic approach to the problem. Additionally, a hill-climbing algorithm is also applied after the evolutionary algorithm steps. The algorithms are tested on several different datasets with a set of 11 commonly used spectra. The test results showed that our algorithm could assign both sidechain and backbone atoms fully automatically without any manual interactions. Our approaches could provide around a 65% success rate and could assign some of the atoms that could not be assigned by other methods.
Cell-free expression represents an attractive method to produce large quantities of selectively labeled protein for NMR applications. Here, cell-free expression was used to label specific regions of the growth hormone secretagogue receptor (GHSR) with NMR-active isotopes. The GHSR is a member of the class A family of G protein-coupled receptors. A cell-free expression system was established to produce the GHSR in the precipitated form. The solubilized receptor was refolded in vitro and reconstituted into DMPC lipid membranes. Methionines, arginines, and histidines were chosen for 13C-labeling as they are representative for the transmembrane domains, the loops and flanking regions of the transmembrane α-helices, and the C-terminus of the receptor, respectively. The dynamics of the isotopically labeled residues was characterized by solid-state NMR measuring motionally averaged 1H-13C dipolar couplings, which were converted into molecular order parameters. Separated local field DIPSHIFT experiments under magic-angle spinning conditions using either varying cross polarization contact times or direct excitation provided order parameters for these residues showing that the C-terminus was the segment with the highest motional amplitude. The loop regions and helix ends as well as the transmembrane regions of the GHSR represent relatively rigid segments in the overall very flexible receptor molecule. Although no site resolution could be achieved in the experiments, the previously reported highly dynamic character of the receptor concluded from uniformly 13C labeled receptor samples could be further specified by this segmental labeling approach, leading to a more diversified understanding. of the receptor dynamics under equilibrium conditions
Die in dieser Arbeit durchgeführten Untersuchungen an GXG Modellpeptiden konnten eindeutig zeigen, dass diese Peptide, auch ohne das Vorhandensein von langreichweitigen Wechselwirkungen, bestimmte Sekundärstrukturen präferieren. Ein Teil der beobachteten, auftretenden Strukturmotive lässt sich hierbei über den sterischen Anspruch der Seitenkette erklären, ein anderer Teil über die Ladung der Seitenkette. In Kombination mit anderen Spektroskopischen Methoden konnten zehn dieser Peptide genauestens untersucht werden. Hierbei zeigte sich, dass diese Peptide nicht nur die favorisierten Regionen des Ramachandran-Diagramms besetzen. Ein Vergleich mit dem Vorkommen bestimmter Aminosäuren, beispielsweise in loop Regionen von Proteinen, zeigt dass die Sequenz dieser loops nicht zufällig ist. Tatsächlich besitzt ein Teil der Aminosäuren, die besonders häufig an bestimmten loop Positionen vorkommen, bereits die intrinsische Vorliebe, die notwendige Konformation einzunehmen. Diese Aminosäuren und die umgebenden loops sind somit eventuell nicht nur das simple Verbindungsglied zwischen zwei Sekundärstrukturen, sondern kommen selbst als Ausgangspunkte für Peptid- bzw. Proteinfaltung in Frage.
Ein weiteres Augenmerk der Arbeit lag auf der Messung von skalaren und dipolaren Kopplungen an isotopenmarkierter RNA. Es wurden vier Pulssequenzen entwickelt, die es ermöglichen, 1J skalare bzw. dipolare Kopplungen in der Zuckerregion von 13C- markierter RNA mit hoher Präzision zu messen. Die entwickelten J-modulierten Experimente ermöglichen die Messung von 1J(H2’C2’), 1J(C1’C2’) sowie 1J(C2’C3’) Kopplungen selbst für größere RNA Moleküle. Die Detektion erfolgt hierbei auf den C1’H1’ Signalen, die Zuordnung der Kerne, deren Kopplung gemessen wird, ist nicht einmal erforderlich. Die Anwendbarkeit konnte für verschiedene Systeme mit 14 bis 70 Nukleotiden demonstriert werden. Die erreichte Präzision ermöglichte es außerdem auch sehr kleine Effekte, wie beispielsweise die Ausrichtung von RNA im Magnetfeld zu detektieren.
Diese Arbeit zeigt außerdem zwei Beispiele für die gezielte Modifikation, um Lanthanid Bindungsstellen einführen zu können. Auf chemischen und biochemischen Weg konnte isotopenmarkierte, in vitro transkribierte RNA modifiziert werden. Die Ergebnisse zeigen eindeutig eine Bindung von Lanthanid-Ionen an die modifizierte RNA. Die auftretenden, eher kleinen Effekte, sind vermutlich auf die noch zu hohe Flexibilität der eingeführten Modifikationen. Vor allem bei der chemischen Modifikation besteht hier noch Potential zur Optimierung, nachdem die generelle Anwendbarkeit der Methode demonstriert wurde.
Der letzte Teil der Arbeit beschäftigt sich mit der Analyse von Kopplungsmustern zur Analyse und zum Vergleichen von Naturstoffen. Hier konnten aus einer Reihe von Derivaten eindeutig die identifiziert werden, die verglichen mit der Ausgangsstruktur, die gleiche Konformation besitzen. Die gewonnenen Ergebnisse decken sich hier mit durchgeführten biologischen Tests, die ebenfalls dasselbe Derivat als aktiv identifizieren konnten, was klar für eine Struktur-Aktivitäts-Beziehung spricht.
In der vorliegenden Arbeit werden Methoden und Anwendungen gezeigt, um skalare und dipolare Kopplungen im Bereich von Peptiden, Nukleinsäuren und kleinen Molekülen zu nutzen. Die durchgeführten Arbeiten reichen dabei von der speziellen Probenpräparation zur Messung von dipolaren Kopplungen bis hin zur Entwicklung neuer NMR-spektroskopischer Methoden zur Messung von Kopplungen mit höherer Präzision und an größeren Systemen als bisher.
Ribonucleic acid oligonucleotides (RNAs) play pivotal roles in cellular function (riboswitches), chemical biology applications (SELEX-derived aptamers), cell biology and biomedical applications (transcriptomics). Furthermore, a growing number of RNA forms (long non-coding RNAs, circular RNAs) but also RNA modifications are identified, showing the ever increasing functional diversity of RNAs. To describe and understand this functional diversity, structural studies of RNA are increasingly important. However, they are often more challenging than protein structural studies as RNAs are substantially more dynamic and their function is often linked to their structural transitions between alternative conformations. NMR is a prime technique to characterize these structural dynamics with atomic resolution. To extend the NMR size limitation and to characterize large RNAs and their complexes above 200 nucleotides, new NMR techniques have been developed. This Minireview reports on the development of NMR methods that utilize detection on low-γ nuclei (heteronuclei like 13C or 15N with lower gyromagnetic ratio than 1H) to obtain unique structural and dynamic information for large RNA molecules in solution. Experiments involve through-bond correlations of nucleobases and the phosphodiester backbone of RNA for chemical shift assignment and make information on hydrogen bonding uniquely accessible. Previously unobservable NMR resonances of amino groups in RNA nucleobases are now detected in experiments involving conformational exchange-resistant double-quantum 1H coherences, detected by 13C NMR spectroscopy. Furthermore, 13C and 15N chemical shifts provide valuable information on conformations. All the covered aspects point to the advantages of low-γ nuclei detection experiments in RNA.
tRNAs are L-shaped RNA molecules of ~ 80 nucleotides that are responsible for decoding the mRNA and for the incorporation of the correct amino acid into the growing peptidyl-chain at the ribosome. They occur in all kingdoms of life and both their functions, and their structure are highly conserved. The L-shaped tertiary structure is based on a cloverleaf-like secondary structure that consists of four base paired stems connected by three to four loops. The anticodon base triplet, which is complementary to the sequence of the mRNA, resides in the anticodon loop whereas the amino acid is attached to the sequence CCA at the 3′-terminus of the molecule. tRNAs exhibit very stable secondary and tertiary structures and contain up to 10% modified nucleotides. However, their structure and function can also be maintained in the absence of nucleotide modifications. Here, we present the assignments of nucleobase resonances of the non-modified 77 nt tRNAIle from the gram-negative bacterium Escherichia coli. We obtained assignments for all imino resonances visible in the spectra of the tRNA as well as for additional exchangeable and non-exchangeable protons and for heteronuclei of the nucleobases. Based on these assignments we could determine the chemical shift differences between modified and non-modified tRNAIle as a first step towards the analysis of the effect of nucleotide modifications on tRNA’s structure and dynamics.