Refine
Year of publication
- 2009 (116) (remove)
Document Type
- Doctoral Thesis (116) (remove)
Language
- English (116) (remove)
Has Fulltext
- yes (116)
Is part of the Bibliography
- no (116) (remove)
Keywords
- Wirkstoff-Rezeptor-Bindung (4)
- Licht-Sammel-Komplex (3)
- Ligand <Biochemie> (3)
- Membranproteine (3)
- Theoretische Physik (3)
- Algebraische Geometrie (2)
- Biochemie (2)
- Crystallography (2)
- FT-IR-Spektroskopie (2)
- Gestaltwahrnehmung (2)
Institute
- Biochemie und Chemie (33)
- Physik (24)
- Biowissenschaften (19)
- Geowissenschaften (6)
- Medizin (6)
- Pharmazie (5)
- Mathematik (4)
- Psychologie (4)
- Informatik (3)
- Frankfurt Institute for Advanced Studies (FIAS) (2)
Very little is known about the occlusal wear pattern in the Neanderthal posterior dentition. Usually dental wear is closely related to the physical properties of the ingested food, and consequently can be used to obtain information about diet. Neanderthal dietary reconstructions have been mostly based on the analysis of accompanying faunal remains and isotopic signatures of bones and tooth enamel, suggesting that they exploited larger portions of animal proteins from large and medium-sized herbivores. Probably these studies may do not reflect the bulk diet, tending to underestimate plant consumption and to overestimate meat consumption. In the present work the occlusal wear pattern of maxillary molars of Homo neanderthalensis (N=19) and early Homo sapiens (N=12)have been analyzed, applying non-destructive methods based on virtual three-dimensional polygonal models generated from surface scanning of dental casts. The sample groups occupied different geographical areas at different chronological times. The 3D digital tooth models were analyzed using the “Occlusal Fingerprint Analysis” (OFA) method (Kullmer et al. 2009), describing and quantifying the occlusal wear pattern derived from two wear facet angles (dip and dip direction), wear facet area and occlusal relief index (ORI). The OFA method provides information about the dynamics of the occlusal relationships and their function, permitting the reconstruction of the mandibular movements responsible for the contacts created during the chewing cycle. Since jaw movements and diet are closely related, the results obtained, can be used to interpret the diet of the two Pleistocene hominin species. In order to evaluate how dietary differences influence the occlusal wear pattern, upper molars of modern hunter-gatherers (N=42) with known diet and different dietary habits, have been included in the sample and compared with those of Neanderthals and early Homo sapiens. Results show that within the modern hunter-gatherers sample, the occlusal wear pattern of carnivorous populations differs from those who relied on a mixed-diet. In particular, the study of relative facet areas clearly distinguish meat-eaters from mixed-diet hunter-gatherers, while ORI results and wear facet inclinations (dip angle) seem to reflect directly the abrasiveness of the diet, including the influence of exogenous materials during food preparation. The Neanderthal occlusal wear pattern is characterized by an ecogeographic variation, suggesting the exploitation of different food resources. In particular Neanderthals who inhabited relatively warm environments of southern Europe and the Near East exhibit an occlusal wear pattern different from those of meat-eaters hunter-gatherers from tempered and cooler regions, displaying some features similar to those of Bushmen. These results suggest the exploitation of a broad variety of food sources. The analysis of the occlusal wear pattern in Neanderthals and early Homo sapiens who inhabited Europe during the cooler Oxygen Isotope Stage 3 (OIS3) shows many similarities between the two hominid species. These results indicate the exploitation of similar and low-diversified food sources, based mostly on the consumption of animal proteins, as suggested through the clear similarities with the wear patterns found in modern meat-eaters hunter-gatherers. In both studied groups, Neanderthals and early Homo sapiens the occlusal wear pattern is characterized by high ORI and dip angle values, suggesting the intake of a low-abrasive diet, probably due to the absence of sophisticated food preparation techniques introducing external silica grains, e.g. from soil (grinding of seeds) or plant cells, as those, seen in modern hunter-gatherer populations. The analysis of the occlusal fingerprints in Neanderthal and early European Homo sapiens upper molars suggests that both species followed very similar adaptive dietary strategies, based on a distinctive versatility and flexibility in the daily diet, depending on availability of resources according to environmental circumstances.
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.
Through the use of information about the biological target structure, the optimization of potential drugs can be improved. In this work I have developed a procedure that uses the quantitative change in the chemical perturbations (CSP) in the protein from NMR experiments for driving protein-ligand docking. The approach is based on a hybrid scoring function (QCSPScore) which combines traditional DrugScore potentials, which describe the interaction between protein and ligand, with Kendall’s rank correlation coefficient, which evaluates docking poses in terms of their agreement with experimental CSP. Prediction of the CSP for a specific ligand pose is done efficiently with an empirical model, taking into account only ring current effects. QCSPScore has been implemented in the AutoDock software package. Compared to previous methods, this approach shows that the use of rank correlation coefficient is robust to outliers. In addition, the prediction of native-like complex geometries improved because the CSP are already being used during the docking process, and not only in a post-filtering setting for generated docking poses. Since the experimental information is guaranteed to be quantitatively used, CSP effectively contribute to align the ligand in the binding pocket. The first step in the development of QCSPScore was the analysis of 70 protein-ligand complexes for which reference CSP were computed. The success rate in the docking increased from 71% without involvement of CSP to 100% if CSP were considered at the highest weighting scheme. In a second step QCSPScore was used in re-docking three test cases, for which reference experimental CSP data was available. Without CSP, i.e. in the use of conventional DrugScore potentials, none of the three test cases could be successfully re-docked. The integration of CSP with the same weighting factor as described above resulted in all three cases successfully re-docked. For two of the three complexes, native-like solutions were only produced if CSP were considered.Conformational changes in the binding pockets of up to 2 Å RMSD did not affect the success of the docking. QCSPScore will be particularly interesting in difficult protein-ligand complexes. They are in particular those cases in which the shape of the binding pocket does not provide sufficient steric restraints such as in flat protein-protein interfaces and in the virtual screening of small chemical fragments.
Solid state NMR is a emerging method for the study of membrane proteins, which has received much interest in recent years. Limiting the study of many pharmacologically relevant targets, are the often long measuring times, required to obtain especially higher dimensional solid state NMR spectra of good quality. To address this problem, multiple methods where developed in this work, which can be categorized into two groups. The first set of methods aims at the quality of certain spectra, by implementing a spectral filter, which increases the fidelity of the measured data. The second set of methods, addresses the problem of long measuring times directly, by increasing the sensitivity per unit time, as could be shown, for example, on homo- and heteronuclear singlequantum-singlequantum correlation experiments. The gains in measuring time for the latter group of methods are typically in the order of 2-3, but some experiments allow multiple methods to be employed simultaneously, which can lead to a decrease in measuring time of a factor of up to 8. It is important to mention, that none of the methods introduced in this work require any equipment in addition to the conventional setup present in most sold state NMR laboratories and no changes or addition to the samples under study are required. Therefore the gains reported in this work come at no extra cost and require only minimal implementation effort on the side of the user.
X-ray structure of the Na+-coupled Glycine-Betaine symporter BetP from Corynebacterium glutamicum
(2009)
Cellular membranes are important sites of interaction between cells and their environment. Among the multitude of macromolecular complexes embedded in these membranes, transporters play a particularly important role. These integral membrane proteins perform a number of vital functions that enable cell adaptation to changing environmental conditions. Osmotic stress is a major external stimulus for cells. Bacteria are frequently exposed to either hyperosmotic or hypoosmotic stress. Typical conditions for soil bacteria, such as Corynebacterium glutamicum, vary between dryness and sudden rainfall. Physical stimuli caused by osmotic stress have to be sensed and used to activate appropriate response mechanisms. Hypoosmotic stress causes immediate and uncontrolled influx of water. Cells counteract by instantly opening mechanosensitive channels, which act as emergency valves leading to fast efflux of small solutes out of the cell, therebydiminishing the osmotic gradient across the cell membrane. Hyperosmotic stress, on the other hand, results in water efflux. This is counterbalanced by an accumulation of small, osmotically active solutes in the cytoplasm, the so-called compatible solutes. They comprise a large variety of substances, including amino acids (proline), amino acid derivatives (betaine, ectoine), oligosaccharides (trehalose), and heterosides (glucosylglycerol). Osmoregulated transporters sense intracellular osmotic pressure and respond to hyperosmotic stress by facilitating the inward translocation of compatible solutes across the cell membrane, to restore normal hydration levels. This work presents the first X-ray structure of a member of the Betaine-Choline-Carnitine-Transporter (BCCT) family, BetP. This Na+-coupled symporter from Corynebacterium glutamicum is a highly effective osmoregulated and specific uptake system for glycine-betaine. X-ray structure determination was achieved using single wavelength anomalous dispersion (SAD) of selenium atoms. Selenium was incorporated into the protein during its expression in methione auxotrophic E. coli cells, grown in media supplemented with selenomethionine. SAD data with anomalous signal up to 5 Å led to the detection of 39 selenium sites, which were used to calculate the initial electron density map of the protein. Medium resolution and high data anisotropy made the structure determination of BetP a challenging task. A specific strategy for data anisotropy correction and a combination of various crystallographic programs were necessary to obtain an interpretable electron density map suitable for model building. The crystal structure of BetP shows a trimer with glycine-betaine bound in a three-fold cation-pi interaction built by conserved tryptophan residues. The bound substrate is occluded from both sides of the membrane and aromatic side chains line its transport pathway. Very interestingly, the structure reveals that the alpha-helical C-terminal domain, for which a chemo- and osmosensory function was elucidated by biochemical methods, interacts with cytoplasmic loops of an adjacent monomer. These unexpected monomer-monomer interactions are thought to be crucial for the activation mechanism of BetP, and a new atomic model combing biochemical results with the crystal structure is proposed. BetP is shown to have the same overall fold as three unrelated Na+-coupled symporters. While these were crystallised in either the outward- or inward-facing conformation, BetP reveals a unique intermediate state, opening new perspectives on the alternating access mechanism of transport.
Sepsis is caused by infection and often followed by an overwhelming inflammatory response. This can lead to shock, organ failure and even death. Each year approximately 60,000 people die in Germany due to sepsis. There is good evidence that sepsis is associated with failure of the hypothalamic-pituitary-adrenal-axis. In patients with sepsis, glucocorticoids (e.g. corticosterone, cortisol) released from adrenal glands play an essential role in preventing an excessive pro-inflammatory response. Adrenal insufficiency occurs in a large number of patients with septic shock and is associated with an increased mortality. In the innate immune system, Toll-like receptors (TLRs) play a crucial role in its onset by recognizing pathogenassociated molecules. It is well known that there are interactions between the immune and endocrine stress systems; glucocorticoids and TLRs regulate each other in a bi-directional way. Therefore, a coordinated response of the adrenal and immune system is of vital importance for survival during severe inflammation. This experimental study focuses on the role of TLR-2, TLR-4 and TLR-9 during adrenal stress. The results show that in mice, the absence of TLR-2 and TLR-4, but not TLR-9 leads to altered adrenal morphology, relating to size and cellular structure. However, this alteration does not appear to compromise the phenotype of TLR knock-out mice. Mice deficient of TLR-2, 4 and 9 are not able to respond adequately to inflammatory stress induced by their potential ligands lipopolysaccharide (LPS), lipoteichoic acid (LTA) or cytidine phosphate guanosine-oligodeoxynucleotides (CpG-ODN). This impaired adrenal stress response appears to be associated with a decrease in systemic and intra-adrenal cytokine expressions. Taken together, these results suggest that TLR-2, 4 and 9 are key players in the immuno-endocrine response during inflammation and SIRS. In conclusion, TLRs play a crucial role in the immune-adrenal crosstalk. This close functional relationship needs to be considered in the treatment of inflammatory diseases where an intact adrenal stress response is required. Furthermore, TLR polymorphisms could contribute to the underlying mechanisms of impaired adrenal stress response in patients with bacterial sepsis