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In April and May 2012 data on Au+Au collisions at beam energies of Ekin = 1.23A GeV were recorded with the High Acceptance Di-Electron Spectrometer, which is located at the GSI Helmholtz Center for Heavy Ion Research in Darmstadt, Germany. At this beam energy all hadrons containing strangeness are produced below their elementary production threshold. The required energy is not available in binary NN collisions but must be provided by the system e.g. through multi-particle interactions or medium effects like a modified in-medium potential (e.g. KN/ΛN potential). Thus, a high sensitivity to these medium effects is expected in the investigated system.
The baryon-dominated systems created in relativistic heavy-ion collisions (HIC) at SIS18 energies reach densities of about 2-3 times ground state density p0 and may be similar to the properties of matter expected in the inner core of neutron stars. It is in particular the behavior of hadrons containing strangeness, i.e. kaons and hyperons, and their potentials in the dense medium which may have severe implications on astrophysical objects and processes. As ab-initio calculations of quantum chromodynamics (QCD) cannot be performed rigorously on the lattice at finite baryo-chemical potentials due to the fermion sign problem, effective descriptions have to be used in order to model properties of dense systems and the involved particles. The only way to access the in-medium potential of strange hadrons above nuclear ground state density p0 is by comparing data from relativistic HIC to such effective microscopic models. Up to now, not much data on neutral kaons and Λ hyperons are available from heavy collision systems close to their NN production threshold. These two electromagnetically uncharged strange hadrons are in particular well suited to study their potential in a dense nucleon-dominated environment as their kinematic spectra are not affected by Coulomb interactions.
Alzheimer’s Disease (AD) is the most common neurodegenerative disorder marked by progressive loss of memory and cognitive ability. The pathology of AD is characterised by the presence of amyloid plaques, intracellular neurofibrillary tangles and pronounced cell death. The aim of this thesis was to investigate pathways involved in the Aß cascade of neurodegeneration. Since novel findings indicate that already this Aß species exerts neurotoxic effects long before hyperphosphorylated tau, neurofibrillary tangles and extracellular Aß plaques appear, the investigations were accomplished with specific regard to the effects of intracellular Aß. The Swedish double mutation in the APP gene results in six- to eightfold increased Aß production of both Aß1-40 and Aß1-42 compared to human wildtype APP cells (APPwt). Data obtained from PC12 cells indicate that it is possible to specifically increase the Aß load without enhancing APP expression levels. On the basis of these findings, it seemed possible to investigate dose-dependent effects of Aß in multiple experimental designs. These assay designs were created in order to mimick different in-vivo situations that are discussed to occur in AD patients: APPsw PC12 cells exhibit low physiological concentrations of Aß within picomolar range in contrast to APPsw HEK cells, expressing Aß levels within the nanomolar range. Of note, the APPsw HEK cells showed a specific and highly significant increase in the intracellular accumulation of insoluble Aß1-42. Moreover, an intracellular accumulation of Aß and APP was found in the mitochondria of the HEK APPsw cells suggesting a direct impact on mitochondrial function on these cells. This effect might finally lead to disturbances in the energy metabolism of the cell or to increased cell death. Furthermore, baseline g- and ß-secretase activity was assessed since these enzymes represent promising therapeutic targets to slow or halt the disease process. As expected, ß-secretase activity was significantly elevated in all APPsw cell lines. This might be due to the proximity of the Swedish double mutation next to the N-terminus of the Aß sequence. Interestingly, g-secretase activity was similarly increased in PC12 APPsw cells. In addition, the toxicity of different Aß species was investigated in SY5Y and PC12 cells with regard to their effect on cellular viability mirrored by mitochondrial activity using MTT assay. Here, it turned out that not monomers, but already dimers are neurotoxic correlates. Fibrillar Aß species showed the highest toxicity. In the next step, SY5Y cells forming endogenous, dimeric APP and Aß were investigated. In accordance with previous findings, these cells showed a decreased MTT reduction potential in comparison to APPwt and control SY5Y cells reflecting a decrease of cellular viability. The impaired energy metabolism of the cells was even more drastically mirrored by reduced baseline ATP levels. In the second part of this thesis, the expression and intracellular distribution of Bcl-2 family proteins and pro-apoptotic mitochondrial factors under baseline conditions and during oxidative stress were analyzed in the APPwt and APPsw bearing cells. The most prominent finding was the reduction of expression levels of the anti-apoptotic factor Bcl-xL in the cytosolic fractions of APPwt and APPsw PC12 cells. This might indicate that a lack of anti-apoptotic factors or their altered intracellular distribution, rather than an increase in caspase-dependent pro-apoptotic factors, could be responsible for the increased vulnerability of APPwt- and APPsw-transfected PC12 cells against oxidative stress. Since total Bcl-xL expression was unaffected in PC12 cells, in contrast to APPwt and APPsw-expressing SY5Y and HEK cells revealing significantly decreased Bcl-xL expression levels. Thus, alterations in Bcl-xL distribution seem to be an early event in the disease process. Increasing Bcl-xL expression might potentially be one promising strategy for AD modification. PC12 and HEK cells bearing APPsw or APPwt were treated with the potent g-secretase inhibitor DAPT. Of note, DAPT did not only efficiently block Aß production, but additionally led to an elevation of the MTT reduction potential, reflecting an increase in cellular viability. As another disease-modifying strategy, several efforts are undertaken to ameliorate AD-relevant symptoms by the treatment with nerve growth factor (NGF). Generally, it is known that substituted pyrimidines have modest growth-promoting effects. Here, KP544, a novel substituted pyrimidine, was characterised. This drug increased MTT reduction potential in terminally differentiated and undifferentiated PC12 cells. Furthermore, treatment with KP544 led to a reduction in Aß1-40 secretion. Thus, one may conclude that the target of KP544, GSK-3ß, represents a connecting link between the two main pathological hallmarks of AD and might thus be a very promising therapeutic target for AD.
Glioblastoma is the most common and most aggressive type of brain tumor in adults. In contrast to epithelial cancers, glioblastomas do not metastasize. While the major treatment challenge in epithelial cancers is not the primary tumor but metastasis, glioblastoma patients die of the primary tumor.
However, there is a common theme which underlies the malignant properties of progressed epithelial cancers and glioblastoma: invasion from the primary tumor into the surrounding tissue. In the case of epithelial cancers this is the first and necessary step to metastasis, whereas invasion leads inevitably to tumor recurrence after resection in the case of glioblastoma, causing it to be incurable.
A cellular program which has been described in detail to promote the invasive phenotype in epithelial tumors, is the epithelial-mesenchymal-transition (EMT). Differentiated neural cells are not epithelial, thus, strictly speaking, EMT does not occur in glioblastoma. However, the traits acquired in the process of EMT, especially invasiveness and stemness, are highly relevant to glioblastoma. One of the key transcription factors known to induce EMT in epithelial cancers is ZEB1, which has been described only marginally in the central nervous system so far. Here, I investigate the expression and function of ZEB1 in glioblastoma and during human fetal neural development.
ZEB1 mRNA was significantly upregulated in all histological types of glioma, including glioblastoma, when compared to normal brain. There was no correlation between ZEB1 mRNA levels and tumor grade. Immunohistochemical staining of glioma samples demonstrated that ZEB1 was highly expressed in the great majority of tumor cells. In the developing human brain, intense staining for ZEB1 could be observed in the ventricular and subventricular zone, where stem- and progenitor cells reside. ZEB1 positive cells included cells stained with stem- and progenitor markers like PAX6, GFAP and Nestin. In contrast, ZEB1 was never found in early neuronal cells as identified by TUBB3 staining.
To gain insight into ZEB1 function I generated a human fetal neural stem cell line and a glioblastoma cell line with ZEB1 knockdown, which were compared with their respective control cell lines. First, I found that ZEB1 does not regulate the micro RNA 200 family in either cell line, which has been described as an essential ZEB1 target in epithelial cancers. Second, regulated target genes were identified with a genome wide microarray. The third approach was to directly identify genomic binding sites of ZEB1 by chromatin immunoprecipitation sequencing (ChIP-seq). All three approaches showed that the ZEB1 transcriptional program is surprisingly similar in the neural stem cell line and the glioblastoma cell line. In contrast, it bears only little resemblance to the program described in epithelial cancers.
The most interesting, previously unrecognized ZEB1 target gene identified in this study is integrin b1. It was regulated after ZEB1 knockdown detected by microarray analysis, and has a ZEB1 binding site in its promoter region detected by ChIP-seq. Finally, I addressed the question whether ZEB1 influences tumor growth and invasiveness in a glioblastoma model. After intracranial xenotransplantation in mice, ZEB1 knockdown glioblastoma cells formed significantly smaller and less invasive tumors than control glioblastoma cells.
This study demonstrates that ZEB1 is widely expressed in glioma and relevant for glioblastoma growth and invasion. In contrast to what is known about ZEB1 function in epithelial cancers, ZEB1 is not associated with glioma progression, but instead seems to be an early and necessary event in tumorigenesis. Also with regard to ZEB1 target genes, ZEB1 functions differently in glioblastoma than in epithelial cancers. The two most important ZEB1 targets in epithelial cancers are E-cadherin and the miR-200 family members. Both are not relevant to ZEB1 function in glioblastoma. Interestingly, while the ZEB1 transcriptional program is different from the one described in epithelial cancers, it is highly similar in glioblastoma cells and fetal neural stem cells. This suggests that an embryonic pathway restricted to stem- and progenitor cells during development is reactivated in glioblastoma.
Previously known ZEB1 target genes were tissue specific and therefore seemed unlikely to mediate ZEB1 function in the central nervous system. However, the newly identified ZEB1 target gene integrin b1 is well known to play pivotal roles in both glioblastoma tumorigenesis and invasion as well as in neural stem cells. Additionally, integrin b1 is widely expressed and seems a likely ZEB1 target in other organs than the brain.
Taken together, I demonstrate that ZEB1 is a new regulator of glioblastoma growth and invasion. The transcriptional program of ZEB1 differs from the one in epithelial cancers but is strikingly similar to the one in neural stem cells. The newly identified ZEB1 target gene integrin b1 is likely to mediate crucial ZEB1 functios. Thus, this study identifies ZEB1 as a yet unrecognized player in glioblastoma and neural development. Furthermore, it sets the stage for more research which will help to deepen our understanding of ZEB1 function in the central nervous system and beyond.
Human GLUTs represent a family of specialized transporters that facilitate the diffusion of hexoses through membranes along a concentration gradient. The 14 isoforms share high sequence identity but differ in substrate specificity and affinity, and tissue distribution. According to their structure similarity, GLUTs are divided into three classes, with class 1 comprising the most intensively studied isoforms GLUTs1 4. An abnormal function of different GLUT members has been related to the pathogenesis of various diseases, including cancer and diabetes. Hence, GLUTs are the subject of intensive research, and efforts concentrate on identifying GLUT-selective ligands for putative medical purposes and their application in studies aiming to further unravel the metabolic roles of these transporters.
The hexose transporter deficient (hxt0) yeast strain EBY.VW4000 is devoid of all its endogenous hexose transporters and unable to grow on glucose or related hexoses. This strain has proven to be a valuable platform to investigate heterologous transporters due to its easy handling, increased robustness, and versatile applications. However, the functional expression of GLUTs in yeast requires certain modifications. Single point mutations of GLUT1 and GLUT5 led to their functional expression in EBY.VW4000, whereas the native GLUT1 was actively expressed in EBY.S7, a hxt0 strain carrying the fgy1 mutation that putatively reduces the phosphatidylinositol-4-phosphate (PI4P) content in the plasma membrane. GLUT4 was only actively expressed in the hxt0 strain SDY.022, which also contains the fgy1 mutation and in which ERG4 is additionally deleted. Erg4 is one of the late enzymes in the ergosterol pathway, and therefore SDY.022 probably has an altered sterol composition in its membrane.
The goal of this thesis was to actively express GLUT2 and GLUT3 in a hxt0 yeast strain, providing a convenient system for their ligand screening. A PCR-derived amino acid exchange in the sequence of GLUT3 enabled its functional expression in EBY.VW4000 and the unmodified GLUT3 protein was active in EBY.S7. Functional expression of GLUT2 was achieved by rational design. The extracellular loop between the transmembrane regions 1 and 2 is significantly larger in GLUT2 than in other class 1 GLUTs. By truncating this loop by 34 amino acids and exchanging an alanine for a serine, a GLUT3-like loop was implemented. The resulting construct GLUT2∆loopS was functional in EBY.S7. With an additional point mutation in the transmembrane region 11, GLUT2∆loopS_Q455R was also actively expressed in EBY.VW4000. Inhibition studies with the known GLUT inhibitors phloretin and quercetin showed a reduced transporter activity for GLUT2 and GLUT3 in uptake assays and growth tests when inhibitors were present, demonstrating that both systems are amenable for ligand screening experiments.
The newly established GLUT2 yeast system was then used to screen a library of compounds pre-selected by in silico screening. Thereby, eleven identified GLUT2 inhibitors exhibited strong potencies with IC50 values ranging from 0.61 to 19.3 µM. By employing the other yeast systems, these compounds were tested for their effects on GLUT1, and GLUTs3-5, revealing that nine of the identified ligands were GLUT2-selective. In contrast, one was a pan-class 1 inhibitor (inhibiting GLUTs1-4), and one affected GLUT2 and GLUT5, the two fructose transporting isoforms. These compounds will serve as useful tools for investigations on the role of GLUT2 in metabolic diseases and might even evolve into pharmaceutical agents targeting GLUT2-associated diseases.
Due to the beneficial effect of the putatively changed sterol composition in SDY.022 (by ERG4 deletion) on the functional expression of GLUT4, it was hypothesized that the presence of the human sterol cholesterol, or cholesterol-like sterols, might have a beneficial effect on GLUT expression, too. Thus, it was attempted to generate hxt0 strains that synthesize these sterols by genetic modifications targeting the ergosterol pathway. In the scope of these experiments, several strains with different sterol compositions were generated. Drop tests on glucose medium with the different strains expressing GLUT1 or GLUT4 revealed that the deletion of ERG6 is clearly advantageous for a functional expression of GLUT1 (but not GLUT4). This indicates that the methyl group at the ergosterol side chain (introduced by Erg6 and reduced by Erg4) negatively influences GLUT1 activity. However, this effect on GLUT1 activity was less pronounced than the putative altered PI4P content in EBY.S7.
Additionally, in this thesis, a new tool to measure glucose transport rates of transporters expressed in the hxt0 yeast system was developed to facilitate their kinetic characterization. For this, the pH-sensitive GFP variant pHluorin was employed as a biosensor for the cytosolic pH (pHcyt) by measuring the ratio (R390/470) of emission intensities at 512 nm from two different excitation wavelengths (390 and 470 nm). Sugar-starved cells exhibit a slightly acidic pHcyt because ATP production is depleted, reducing the activity of ATP-dependent proton pumps.
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The present study was elaborated within the scope of the INTAFERE (Integrated Analysis of Mobile Organic Foreign Substances in Rivers) project which investigates the occurrence of xenobiotics in small freshwater streams with particular consideration of social impact factors. The aim of this study is to investigate the seasonal and spatial variance of organic micropollutants in small fresh water streams and to identify possible sources and sinks. Therefore four small freshwater river systems in Hesse, Germany, have been investigated with respect to common organic pollutants such as: the organophosphates tri-n-butyl phosphate (TBP), tris(2-butoxyethyl)phosphate (TBEP), tris(2-chloroethyl)phosphate (TCEP), tris(1-chloro-2-propyl)phosphate (TCPP), and tris(1,3-dichloro-2-propyl)phosphate (TDCPP), the synthetic musk fragrances 1,3,4,6,7,8-hexahydro-4,6,6,7,8,8-hexa-methylcyclopenta-[g]-2-benzopyran (HHCB) and 7-acetyl-1,1,3,4,4,6-hexamethyl-1,2,3,4-tetrahydronaphthalene (AHTN), the endocrine disruptors bisphenol A (BPA), 4-tert-octylphenol (OP) and the technical isomer mixture of 4-nonylphenol (NP), the herbicide terbutryn [2-(t-butylamino)-4-(ethylamino)-6-(methylthio)-s-triazine] as well as the insect repellent N,N-diethyl-m-toluamide (DEET). Water samples were collected in the time span from September 2003 to September 2006 at 26 sampling locations. The samples were extracted with solid phase extraction (SPE) and analyzed by coupled gas chromatography-mass spectrometry (GC-MS). For quantification the internal standard method was used. The results of the study showed an ubiquitous occurrence of organic pollutants in the fresh water streams of the study area. The organophosphates have been detected in 90 % of the water samples with mean concentrations of 502 ng/l (TCPP), 276 ng/l (TBP), 183 ng/l (TBEP), 118 ng/l (TCEP) and 117 ng/l (TDCPP). Sewage treatment plant (STP) effluents were identified as the dominating source for the chlorinated organophosphates as well as for the synthetic musk fragrances and the insect repellent DEET in the river systems. Consequently the highest concentrations were observed in the Schwarzbach system characterized by the highest proportion of waste water compared to the other river systems. Mean concentration levels of the synthetic musk fragrances HHCB and ATHN were 141 ng/l and 46 ng/l, respectively and 124 ng/l in case of DEET. The synthetic musk fragrances showed a clear seasonal trend with significantly lower concentrations in summer times compared to winter times, which is ascribed to stronger photodegradation and volatization during summer times. In contrast, mean DEET concentrations and loads were significantly higher in summer than in autumn, winter and spring, in parallel with the main insect season. The concentrations of the endocrine disruptors BPA, NP and OP in the river water samples ranged from <20 ng/l to 1927 ng/l, <10 ng/l to 770 ng/l, and <10 ng/l to 420 ng/l, respectively. Whereas OP was present in about 2/3 of the samples, NP and BPA could only be detected in 56% and 13% of the water samples, respectively. BPA levels exceeded in two samples the predicted no-effect concentration (PNEC) for water organisms. In case of NP, highest concentrations and loads were found in September 2003 and decreased significantly since then. In contrast, concentrations and loads of OP which serves in a similar application field remained nearly constant during the sampling period. The decrease of NP can be attributed to the implementation of the European Directive 2003/53/EG, which restricts the use of nonylphenols and nonylphenol ethoxylates since January 2005. However, at the end of the sampling period in September 2006, NP could still be detected at mean concentrations of 18 ng/l in the river waters of the sampling area. Furthermore, absence of NP in several samples from associated STP effluents indicate that the STPs cannot be the only sources for NP found in the river water. The herbicide terbutryn was present in the rivers during the whole sampling period from September 2003 to September 2006 despite a ban on its use as a herbicide from January 2004 on. Terbutryn levels ranged from < 4 ng/l to 5600 ng/l, showing a clear spatial pattern with high terbutryn concentrations in the Weschnitz and Modau river systems and significantly lower terbutryn levels in Schwarzbach and Winkelbach. Results from the analysis of two STP effluents discharging into the Weschnitz and the Modau, respectively, indicate that terbutryn enters the rivers from this source. Furthermore, terbutryn concentrations and loads showed a clear seasonal trend with significantly higher levels in summer and autumn. Obviously, the ban on agricultural use of terbutryn at the end of 2003 had no discernable influence on terbutryn concentration in the rivers because there was no trend of decreasing.
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.
We study the Wigner function for massive spin-1/2 fermions in electromagnetic fields. The Wigner function is analytically solved in five cases when electromagnetic fields are constants. For a general space-time dependent field configuration, we use the method of semi-classical expansion and solved the Wigner function at linear order in the Planck's constant. At the same order, we obtained a generalized Boltzmann equation for particle distribution, and a generalized BMT equation for spin polarization. Using the Wigner function, we calculated some physical quantities in a thermal equilibrium system.
The substantia nigra is not the induction site in the brain of the neurodegenerative process that underlies Parkinson’s disease. Instead, the results of this semiquantitative study of 30 autopsy cases with incidental Lewy body pathology indicate that Parkinson’s disease in the brain commences with the formation of the very first immunoreactive Lewy neurites and Lewy bodies in noncatecholaminergic visceromotor neurons of the dorsal glossopharyngeusvagus complex, in projection neurons of the intermediate reticular zone, and in specific nerve cell types of the gain setting system (coeruleussubcoeruleus complex, caudal raphe nuclei, gigantocellular reticular nucleus), olfactory bulb, olfactory tract, and/or anterior olfactory nucleus in the absence of nigral involvement. The topographical parcellation of the nuclear grays described here is based upon known architectonic analyses of the human brain stem and takes into consideration the pigmentation properties of a few highly susceptible nerve cell types involved in Parkinson’s disease. In this sample and in all 58 ageand gendermatched controls, Lewy bodies and Lewy neurites do not occur in any of the known telencephalic Parkinson’s disease predilection sites (hippocampal formation, temporal mesocortex, proneocortical cingulate areas, amygdala, basal nucleus of Meynert, interstitial nucleus of the diagonal band of Broca, hypothalamic tuberomamillary nucleus).
Background: Increasing numbers of patients surviving malignant bone tumors around the knee joint have led to an increasing importance to investigate long-term results. This study assessed the long-term results of rotationplasty after resection of malignant bone tumors regarding functional outcome and quality of life to allow better comparison with other treatment options in bone cancer treatment.
Procedure: 60 participants who underwent rotationplasty due to bone cancer took part in this multicentric questionnaire- based study. The long-term functional outcome was measured by the Musculoskeletal tumor society score (MSTS) and the Tegner activity level scale. The health-related quality of life (HRQL) was assessed by using the Short Form Health Survey (SF-36).
Results: Patients treated with rotationplasty (median follow- up of 22 years, range 10–47 years) regained a high level of activity (median MSTS score of 24). Even a return to high level sports was possible (mean Tegner activity level scale of 4). Duration of follow-up did not influence the functional outcome. HRQL scores were comparable to the general German popula tion. Concerns of psychological problems due to the unusual appearance of the rotated foot have not been confirmed.
Conclusion: Rotationplasty can be a good alternative to en- doprosthetic replacement or amputation, either as primary surgery or as a salvage procedure. Especially for growing children and very active patients rotationplasty should be considered.
The cytochrome bc1 complex or ubiquinol:cytochrome c oxidoreductase (QCR) catalyses electron transfer from ubiquinol to cytochrome c in respiration and photosynthesis coupled to a vectorial proton transport across the membrane, in which the enzyme resides. In both bacteria and eukaryotic organisms, QCR participates in supramolecular assembly of membrane proteins that comprise the respiratory or photosynthetic chain. In the present work, proton transfer pathways, substrate binding and the supramolecular assembly of the respiratory chain in yeast were probed by structure-based site-directed mutagenesis and characterization of the variants. Both active sites centre P, the place of quinol oxidation, and centre N, where quinone reduction takes place, lack direct access to the bulk solvent necessary for proton release and uptake. Based on the X-ray structure, proton transfer pathways were postulated. Analysis at centre P showed, that E272 and Y132 of cytochrome b are important for QCR catalysis as indicated by increased superoxide production and lowered Cyc1p reductase activity in these variants. Pre-steady state heme reduction kinetics in combination with stigmatellin resistance indicated that charge and length of the side chain at position 272 are crucial for efficient docking of the ISP to form the enzyme substrate complex and for electron bifurcation at centre P. Variants of Y312 and F129, both residues of cytochrome b, showed an increased Km indicating participation of these residues in coordination of ubiquinol or the possible intermediate semiquinone anion radical. F129 proved to be crucial for a functional Q-cycle as indicated by respiratory negative growth phenotype and a lowered H+/e- stoichiometry of F129 variants. At centre N, the postulated CL/K and E/R proton transfer pathways are located at opposite sites of the bound ubiquinone. Variants in the surface residues R218 (cytochrome b) and E52 (Qcr7) of the E/R pathway and E82 (Qcr7) of the CL/K pathway showed instability upon purification indicating an important role of these residues for QCR integrity. The slowed down centre N reduction kinetics in H85 (CL/K), R218 and N208 (both E/R) variant was attributed to a destabilised semiquinone anion consistent with the observed decreased sensitivity towards the site-specific inhibitor antimycin and an increased Km. Variants of residues of both pathway, E82Q and R218M, exhibited a decreased H+/e- stoichiometry indicating a crucial role of both residue for maintaining a working Q-cycle and supporting the proposed protonation of the substrate via the Cl/K and the E/R pathway. Long-range interaction between centre N and centre P were observed by altered reduction kinetics of the high potential chain and increased superoxide production in the centre N variants. The role of the cation-pi-interaction between F230 of Cyt1p and R19 of cytochrome c in binding of the redox carrier to QCR was analysed. In F230L hydrophobic interaction were partially lost as was deduced from the ionic strength dependence of Cyc1p reductase activity and Cycp1 binding, as detected by ionic strength sensitive Kd and Km for Cyc1p. The decreased enzymatic rate of F230W could be explained by a disturbed binding of Cyc1p to the variant enzyme. F230 may influence the heme mid point potential and thereby the electron transfer rate to Cyc1p. Reduction of Cobp via both centre P and centre N was disturbed suggesting an interaction between high and low potential chain. Supramolecular association between QCR and cytochrome c oxidase (COX) in yeast mitochondria was probed by affinity chromatography of a his-tagged QCR in the presence of the mild detergent digitonin. In comparison to purification with laurylmaltoside, the presence of both QCR and COX subunits was detected in the elution fractions by SDS-PAGE, Cyc1p reductase and TMPD oxidase activity assays and immunoblot analysis. The CL-dependent formation of the supercomplex between QCR and COX was analysed by replacement variants in the CL-binding site of QCR in CL containing and CL free environment. With an increasing number of replacements of the three lysines the CL-binding pocket supercomplex formation was not abolished, when CL is present as shown by BN-PAGE analysis. This was supported by the synergetic decrease in enzyme activity for both enzymes upon increased number of replacements. In the CL-free environment, no supracomplex formation was observed for a wildtype CL binding site. By replacements of two lysines in the CL-binding pocket, supercomplex formation could be recovered as revealed by BN-PAGE. This indicates, that CL may serve as a charge neutralizer for the lysines near the presumed interaction domain between complex III and complex IV. The obtained results for centre P provide new information of residues critical for stabilisation of ubiquinol and controlling electron short circuit reactions. The observations for centre N variants clearly support the proposed two proton transfer pathways and the role of the bound phospholipids in centre N kinetics. Variants in the Cyc1p binding site suggest a role for F230 both in Cyc1p binding and electron transfer. Clear interaction between the high and low potential chain in both Cyt1p and centre N variants strongly support long-range interactions in the complex. Studies on the supramolecular association of complex III and complex IV indicate a new role of Cl in stabilising a supracomplex.
This dissertation contains five independent chapters dealing with wage dispersion and unemployment. The first chapter deals with the explanation of international changes in wage inequality and unemployment in the 80s and 90s. Both theoretically and empirically, social benefits and its link to average income are blamed for the different experiences across countries. The second chapter discusses the search framework, to explain residual wage inequality and finds that institutional wage compression has ambiguous effects on employment. In the third chapter, we apply the theory to German data. We show that job-to-job transitions are important in explaining both frictions and career advances. In the fourth chapter, we empirically assess the relationship between wage dispersion and unemployment for homogeneous workers. We find that neither a frictional nor a neo-classical view in explaining this relationship are convincing. Unemployment within cells is not negatively correlated with wage dispersion. Finally, the last chapter builds a theoretical model which treats heterogeneous individuals in a production function framework and a frictional labor market. The model generates both wage dispersion within and between skill groups and both frictional and structural unemployment. In sum, the dissertation stresses the importance of modelling frictions to understand different types of wage inequality and unemployment.
The dissertation collects four self-contained essays which contribute to the literature on wage structures, heterogeneous labor demand, and the impact of trade unions. The first paper provides a detailed description of the evolution of wage inequality in East and West Germany in the late years of the twentieth century. In contrast to previous decades, wage inequality has been rising in several dimensions during that period. The second paper identifies cohort effects in the evolution of both wages and employment. Observed structures are consistent with a labor demand framework that incorporates steady skill-biased technical change. Substitutability between skill and age groups in the German labor market is found to be relatively high. Simulations based on estimated elasticities of substitution illustrate that higher wage dispersion between skill groups would have contributed to a reduction in unemployment. The third paper estimates determinants of individual union membership decisions and studies the erosion of union density in East and West Germany. Using corresponding predictions of net union density, the fourth paper analyzes the link between union strength and the structure of wages. A higher union density is associated with lower residual wage dispersion, reduced skill wage differentials, and a lower wage level. This finding is in line with an insurance motive for union action. The thesis comprises the following articles: (1) “Rising Wage Dispersion, After All! The German Wage Structure at the Turn of the Century,” IZA Discussion Paper 2098, April 2006. (2) “Skill Wage Premia, Employment, and Cohort Effects: Are Workers in Germany All of the Same Type?”, IZA Discussion Paper 2185, June 2006, joint with Bernd Fitzenberger. (3) “The Erosion of Union Membership in Germany: Determinants, Densities, Decompositions,” IZA Discussion Paper 2193, July 2006, joint with Bernd Fitzenberger and Qingwei Wang. (4) “Equal Pay for Equal Work? On Union Power and the Structure of Wages in West Germany, 1985–1997,” translation of “Gleicher Lohn für gleiche Arbeit? Zum Zusammenhang zwischen Gewerkschaftsmitgliedschaft und Lohnstruktur in Westdeutschland 1985–1997,” Zeitschrift für Arbeitsmarkt-Forschung, 38 (2/3), 125-146, joint with Bernd Fitzenberger, 2005.
1 Purpose of the Study:
The purpose of this retrospective study was to assess the volumetric changes of our institutional pediatric neuroblastoma in response to various therapeutic protocols.
2 Materials and Methods:
A retrospective study was conducted on children with neuroblastoma from different anatomical locations including suprarenal, paraspinal, pelvic, mediastinal and cervical neuroblastoma primaries. These children underwent tumor-stage based therapeutic protocols in Johann Wolfgang Goethe University Hospital, Frankfurt am Main, Germany, between January 1996 and July 2008. The study included 72 patients (44 males and 28 females). Patient demographics (age and gender), disease-related symptoms, laboratory results (tumor biomarkers including ferritin, neuron specific enolase, and urine catecholamine) and histopathological reports were collected from the electronic medical archiving system and subsequently analyzed.
Patients were classified into following groups according the anatomical origin of the primary neuroblastoma into:
1) Suprarenal neuroblastoma Group: This group included patients with neuroblastoma arising from the suprarenal gland. This group composed of 54 patients with male to female ratio (32:22).
2) Paravertebral neuroblastoma Group: This group composed of 6 male patients.
3) Mediastinal neuroblastoma Group: This group included patients with mediastinal neuroblastoma and composed of 3 patients (1 male and 2 females).
4) Pelvic neuroblastoma Group: This group included patients with pelvic neuroblastoma and composed of 6 patients (3 males and 3 females).
5) Cervical neuroblastoma Group: This group included patients with cervical neuroblastoma and composed of 2 male patients.
3 Results:
The mean volume of all suprarenal neuroblastoma group involved in the study before therapy was 176.62 cm3 (SD: 234.15) range: 239.4-968.9cm3. The mean initial volume of all suprarenal neuroblastoma group who underwent observation protocol was 86.0378 cm3 (SD: 114.44) range: 5.2-347.94cm3. Volumetric evaluation of suprarenal neuroblastoma following observation (Wait and See) protocol revealed continuous reduction of the tumor volumes in a statistically significant manner during the follow up periods up to 12 months with p value of less than 0.05. The volumetric changes afterwards were statistically insignificant.
The mean initial volume of all suprarenal neuroblastoma group who underwent primary surgery protocol was 42.4 cm3 (SD: 28.5) range: 7.5-90cm3. Complete surgical resection of the tumor was not feasible in all lesions due to local tumor extension and / or infiltration with the associated risk of injury of nearby organs or structures. However statistical analysis of the volumetric changes in the successive follow up periods did not reveal statistical significance.
Volumetric estimation of the tumor in the subsequent follow up periods revealed significant changes within the period first (3-9 month periods). The changes afterwards were statistically non significant. On the other hand, the mean initial volume of all suprarenal neuroblastoma group who underwent combined chemotherapy and Stem cell transplantation protocol only without surgical interference was 99.98cm3 (SD:46.2) range: 48.48-160.48 cm3. In this group the volumetric changes were variable and difference in volumes in follow up was statistically non significant during the follow up period.
The mean initial volume of all abdominal paravertebral neuroblastoma group was 249.197cm3 (SD: 249.63) range: 9.6-934cm3. The mean initial volume of all pelvic neuroblastoma group was 118.88cm3 (SD: 50.61) range: 73.4-173.4cm3. The mean initial volume of all mediastinal neuroblastoma group was 189.7cm3 (SD: 139.057) range: 10.7-415 cm3. The mean initial volume of all cervical neuroblastoma group was 189.7cm3 (SD: 139.057) range: 10.7-415 cm3. The volumetric measurements in the corresponding follow up periods according to the therapeutic protocol of abdominal paravertebral neuroblastoma, pelvic neuroblastoma, mediastinal and cervical neuroblastoma revealed significant change in the tumor volume within the early 3-6 months from the initial therapy while subsequently the tumor volumetric changes were statistically non significant.
4 Conclusion:
In conclusion, the role of MRI volumetry in the evaluation of tumor response is dependent on the risk adapted concept of neuroblastoma with the combination of different imaging modalities as well the therapeutic protocol. MRI Volumetry in addition to new protocols such as Whole-body imaging and 3D visualization techniques are gaining more importance and acceptance.
This thesis investigates the structure of the translocase of the outer membrane (TOM) complex in mitochondria, focusing on the TOM holo complex through single-particle electron cryo-microscopy (cryoEM) complemented by mass spectrometry and computational structure prediction. Mitochondria, crucial for energy production in eukaryotic cells, import most of their proteins from the cytoplasm. These proteins enter through the TOM complex, which in its core form consists of a membrane-embedded homodimer of Tom40 pores, two Tom22 cytoplasmic receptors, and six small TOM stabilizing subunits (Tom7, Tom6, and Tom5). The holo complex includes two additional subunits, Tom70 and Tom20, whose stoichiometry and positioning are less understood due to their easy dissociation during isolation of the complex. CryoEM analysis revealed the high-resolution structure of the Neurospora crassa TOM core complex at 3.3 Å, containing all core subunits, and the presence of a central phospholipid causing the Tom40 dimer to tilt to 20°. Furthermore, a 4 Å resolution map indicated the binding of a precursor protein as it transitions through the translocation barrel. Finally, at 6-7 Å resolution, the structure of the TOM holo complex highlighted Tom20's flexibility as it interacts with the core complex, emphasizing its role in protein translocation. This work provides significant insights into the architecture and functioning of the TOM complex, contributing to the understanding of mitochondrial protein import mechanisms.
Through an examination of Joseph Roth’s reportage and fiction published between 1923 and 1932, this thesis seeks to provide a systematic analysis of a particular aspect of the author’s literary style, namely his use of sharply focused visual representations, which are termed Heuristic Visuals. Close textual analysis, supplemented by insights from reader-response theory, psychology, psycholinguistics and sociology illuminate the function of these visual representations. The thesis also seeks to discover whether there are significant differences and correspondences in the use of visual representations between the reportage and fiction genres. Roth believed that writers should be engagiert, and that the truth could only be arrived at through close observation of reality, not subordinated to theory. The research analyses the techniques by which Roth challenges his readers and encourages them to discover the truth for themselves. Three basic variants of Heuristic Visuals are identified, and their use in different contexts, including that of dialectical presentations, is explored. There is evidence of the use of different variants of Heuristic Visuals according to the respective rhetorical demands of particular thematic issues. It has also been possible to establish synchronic correspondences between the different genres, and diachronic correspondences within genres. Although there are examples within the reportage where the entire article is based on an Heuristic Visual, the use of Heuristic Visuals cannot be seen as a key organizing principle in Roth’s work as a whole. As his mastery of the technique reaches its highest point in the early 1930s, Heuristic Visuals are often incorporated into the reconstruction of a complete sensory experience. Analysis of Roth’s heuristic use of visual representations has led to important insights, including a reinterpretation of the endings of Roth’s two most famous novels: Hiob and Radetzkymarsch.
Virtuous democrats, liberal aristocrats : political discourse and the Pennsylvania Constitution
(2001)
Virtual screening of potential bioactive substances using the support vector machine approach
(2005)
Die vorliegende Dissertation stellt eine kumulative Arbeit dar, die in insgesamt acht wissenschaftlichen Publikationen (fünf publiziert, zwei eingerichtet und eine in Vorbereitung) dargelegt ist. In diesem Forschungsprojekt wurden Anwendungen von maschinellem Lernen für das virtuelle Screening von Moleküldatenbanken durchgeführt. Das Ziel war primär die Einführung und Überprüfung des Support-Vector-Machine (SVM) Ansatzes für das virtuelle Screening nach potentiellen Wirkstoffkandidaten. In der Einleitung der Arbeit ist die Rolle des virtuellen Screenings im Wirkstoffdesign beschrieben. Methoden des virtuellen Screenings können fast in jedem Bereich der gesamten pharmazeutischen Forschung angewendet werden. Maschinelles Lernen kann einen Einsatz finden von der Auswahl der ersten Moleküle, der Optimierung der Leitstrukturen bis hin zur Vorhersage von ADMET (Absorption, Distribution, Metabolism, Toxicity) Eigenschaften. In Abschnitt 4.2 werden möglichen Verfahren dargestellt, die zur Beschreibung von chemischen Strukturen eingesetzt werden können, um diese Strukturen in ein Format zu bringen (Deskriptoren), das man als Eingabe für maschinelle Lernverfahren wie Neuronale Netze oder SVM nutzen kann. Der Fokus ist dabei auf diejenigen Verfahren gerichtet, die in der vorliegenden Arbeit verwendet wurden. Die meisten Methoden berechnen Deskriptoren, die nur auf der zweidimensionalen (2D) Struktur basieren. Standard-Beispiele hierfür sind physikochemische Eigenschaften, Atom- und Bindungsanzahl etc. (Abschnitt 4.2.1). CATS Deskriptoren, ein topologisches Pharmakophorkonzept, sind ebenfalls 2D-basiert (Abschnitt 4.2.2). Ein anderer Typ von Deskriptoren beschreibt Eigenschaften, die aus einem dreidimensionalen (3D) Molekülmodell abgeleitet werden. Der Erfolg dieser Beschreibung hangt sehr stark davon ab, wie repräsentativ die 3D-Konformation ist, die für die Berechnung des Deskriptors angewendet wurde. Eine weitere Beschreibung, die wir in unserer Arbeit eingesetzt haben, waren Fingerprints. In unserem Fall waren die verwendeten Fingerprints ungeeignet zum Trainieren von Neuronale Netzen, da der Fingerprintvektor zu viele Dimensionen (~ 10 hoch 5) hatte. Im Gegensatz dazu hat das Training von SVM mit Fingerprints funktioniert. SVM hat den Vorteil im Vergleich zu anderen Methoden, dass sie in sehr hochdimensionalen Räumen gut klassifizieren kann. Dieser Zusammenhang zwischen SVM und Fingerprints war eine Neuheit, und wurde von uns erstmalig in die Chemieinformatik eingeführt. In Abschnitt 4.3 fokussiere ich mich auf die SVM-Methode. Für fast alle Klassifikationsaufgaben in dieser Arbeit wurde der SVM-Ansatz verwendet. Ein Schwerpunkt der Dissertation lag auf der SVM-Methode. Wegen Platzbeschränkungen wurde in den beigefügten Veröffentlichungen auf eine detaillierte Beschreibung der SVM verzichtet. Aus diesem Grund wird in Abschnitt 4.3 eine vollständige Einführung in SVM gegeben. Darin enthalten ist eine vollständige Diskussion der SVM Theorie: optimale Hyperfläche, Soft-Margin-Hyperfläche, quadratische Programmierung als Technik, um diese optimale Hyperfläche zu finden. Abschnitt 4.3 enthält auch eine Diskussion von Kernel-Funktionen, welche die genaue Form der optimalen Hyperfläche bestimmen. In Abschnitt 4.4 ist eine Einleitung in verschiede Methoden gegeben, die wir für die Auswahl von Deskriptoren genutzt haben. In diesem Abschnitt wird der Unterschied zwischen einer „Filter“- und der „Wrapper“-basierten Auswahl von Deskriptoren herausgearbeitet. In Veröffentlichung 3 (Abschnitt 7.3) haben wir die Vorteile und Nachteile von Filter- und Wrapper-basierten Methoden im virtuellen Screening vergleichend dargestellt. Abschnitt 7 besteht aus den Publikationen, die unsere Forschungsergebnisse enthalten. Unsere erste Publikation (Veröffentlichung 1) war ein Übersichtsartikel (Abschnitt 7.1). In diesem Artikel haben wir einen Gesamtüberblick der Anwendungen von SVM in der Bio- und Chemieinformatik gegeben. Wir diskutieren Anwendungen von SVM für die Gen-Chip-Analyse, die DNASequenzanalyse und die Vorhersage von Proteinstrukturen und Proteininteraktionen. Wir haben auch Beispiele beschrieben, wo SVM für die Vorhersage der Lokalisation von Proteinen in der Zelle genutzt wurden. Es wird dabei deutlich, dass SVM im Bereich des virtuellen Screenings noch nicht verbreitet war. Um den Einsatz von SVM als Hauptmethode unserer Forschung zu begründen, haben wir in unserer nächsten Publikation (Veröffentlichung 2) (Abschnitt 7.2) einen detaillierten Vergleich zwischen SVM und verschiedenen neuronalen Netzen, die sich als eine Standardmethode im virtuellen Screening etabliert haben, durchgeführt. Verglichen wurde die Trennung von wirstoffartigen und nicht-wirkstoffartigen Molekülen („Druglikeness“-Vorhersage). Die SVM konnte 82% aller Moleküle richtig klassifizieren. Die Klassifizierung war zudem robuster als mit dreilagigen feedforward-ANN bei der Verwendung verschiedener Anzahlen an Hidden-Neuronen. In diesem Projekt haben wir verschiedene Deskriptoren zur Beschreibung der Moleküle berechnet: Ghose-Crippen Fragmentdeskriptoren [86], physikochemische Eigenschaften [9] und topologische Pharmacophore (CATS) [10]. Die Entwicklung von weiteren Verfahren, die auf dem SVM-Konzept aufbauen, haben wir in den Publikationen in den Abschnitten 7.3 und 7.8 beschrieben. Veröffentlichung 3 stellt die Entwicklung einer neuen SVM-basierten Methode zur Auswahl von relevanten Deskriptoren für eine bestimmte Aktivität dar. Eingesetzt wurden die gleichen Deskriptoren wie in dem oben beschriebenen Projekt. Als charakteristische Molekülgruppen haben wir verschiedene Untermengen der COBRA Datenbank ausgewählt: 195 Thrombin Inhibitoren, 226 Kinase Inhibitoren und 227 Faktor Xa Inhibitoren. Es ist uns gelungen, die Anzahl der Deskriptoren von ursprünglich 407 auf ungefähr 50 zu verringern ohne signifikant an Klassifizierungsgenauigkeit zu verlieren. Unsere Methode haben wir mit einer Standardmethode für diese Anwendung verglichen, der Kolmogorov-Smirnov Statistik. Die SVM-basierte Methode erwies sich hierbei in jedem betrachteten Fall als besser als die Vergleichsmethoden hinsichtlich der Vorhersagegenauigkeit bei der gleichen Anzahl an Deskriptoren. Eine ausführliche Beschreibung ist in Abschnitt 4.4 gegeben. Dort sind auch verschiedene „Wrapper“ für die Deskriptoren-Auswahl beschrieben. Veröffentlichung 8 beschreibt die Anwendung von aktivem Lernen mit SVM. Die Idee des aktiven Lernens liegt in der Auswahl von Molekülen für das Lernverfahren aus dem Bereich an der Grenze der verschiedenen zu unterscheidenden Molekülklassen. Auf diese Weise kann die lokale Klassifikation verbessert werden. Die folgenden Gruppen von Moleküle wurden genutzt: ACE (Angiotensin converting enzyme), COX2 (Cyclooxygenase 2), CRF (Corticotropin releasing factor) Antagonisten, DPP (Dipeptidylpeptidase) IV, HIV (Human immunodeficiency virus) protease, Nuclear Receptors, NK (Neurokinin receptors), PPAR (peroxisome proliferator-activated receptor), Thrombin, GPCR und Matrix Metalloproteinasen. Aktives Lernen konnte die Leistungsfähigkeit des virtuellen Screenings verbessern, wie sich in dieser retrospektiven Studie zeigte. Es bleibt abzuwarten, ob sich das Verfahren durchsetzen wird, denn trotzt des Gewinns an Vorhersagegenauigkeit ist es aufgrund des mehrfachen SVMTrainings aufwändig. Die Publikationen aus den Abschnitten 7.5, 7.6 und 7.7 (Veröffentlichungen 5-7) zeigen praktische Anwendungen unserer SVM-Methoden im Wirkstoffdesign in Kombination mit anderen Verfahren, wie der Ähnlichkeitssuche und neuronalen Netzen zur Eigenschaftsvorhersage. In zwei Fällen haben wir mit dem Verfahren neuartige Liganden für COX-2 (cyclooxygenase 2) und dopamine D3/D2 Rezeptoren gefunden. Wir konnten somit klar zeigen, dass SVM-Methoden für das virtuelle Screening von Substanzdatensammlungen sinnvoll eingesetzt werden können. Es wurde im Rahmen der Arbeit auch ein schnelles Verfahren zur Erzeugung großer kombinatorischer Molekülbibliotheken entwickelt, welches auf der SMILES Notation aufbaut. Im frühen Stadium des Wirstoffdesigns ist es wichtig, eine möglichst „diverse“ Gruppe von Molekülen zu testen. Es gibt verschiedene etablierte Methoden, die eine solche Untermenge auswählen können. Wir haben eine neue Methode entwickelt, die genauer als die bekannte MaxMin-Methode sein sollte. Als erster Schritt wurde die „Probability Density Estimation“ (PDE) für die verfügbaren Moleküle berechnet. [78] Dafür haben wir jedes Molekül mit Deskriptoren beschrieben und die PDE im N-dimensionalen Deskriptorraum berechnet. Die Moleküle wurde mit dem Metropolis Algorithmus ausgewählt. [87] Die Idee liegt darin, wenige Moleküle aus den Bereichen mit hoher Dichte auszuwählen und mehr Moleküle aus den Bereichen mit niedriger Dichte. Die erhaltenen Ergebnisse wiesen jedoch auf zwei Nachteile hin. Erstens wurden Moleküle mit unrealistischen Deskriptorwerten ausgewählt und zweitens war unser Algorithmus zu langsam. Dieser Aspekt der Arbeit wurde daher nicht weiter verfolgt. In Veröffentlichung 6 (Abschnitt 7.6) haben wir in Zusammenarbeit mit der Molecular-Modeling Gruppe von Aventis-Pharma Deutschland (Frankfurt) einen SVM-basierten ADME Filter zur Früherkennung von CYP 2C9 Liganden entwickelt. Dieser nichtlineare SVM-Filter erreichte eine signifikant höhere Vorhersagegenauigkeit (q2 = 0.48) als ein auf den gleichen Daten entwickelten PLS-Modell (q2 = 0.34). Es wurden hierbei Dreipunkt-Pharmakophordeskriptoren eingesetzt, die auf einem dreidimensionalen Molekülmodell aufbauen. Eines der wichtigen Probleme im computerbasierten Wirkstoffdesign ist die Auswahl einer geeigneten Konformation für ein Molekül. Wir haben versucht, SVM auf dieses Problem anzuwenden. Der Trainingdatensatz wurde dazu mit jeweils mehreren Konformationen pro Molekül angereichert und ein SVM Modell gerechnet. Es wurden anschließend die Konformationen mit den am schlechtesten vorhergesagten IC50 Wert aussortiert. Die verbliebenen gemäß dem SVM-Modell bevorzugten Konformationen waren jedoch unrealistisch. Dieses Ergebnis zeigt Grenzen des SVM-Ansatzes auf. Wir glauben jedoch, dass weitere Forschung auf diesem Gebiet zu besseren Ergebnissen führen kann.
Time-critical applications process a continuous stream of input data and have to meet specific timing constraints. A common approach to ensure that such an application satisfies its constraints is over-provisioning: The application is deployed in a dedicated cluster environment with enough processing power to achieve the target performance for every specified data input rate. This approach comes with a drawback: At times of decreased data input rates, the cluster resources are not fully utilized. A typical use case is the HLT-Chain application that processes physics data at runtime of the ALICE experiment at CERN. From a perspective of cost and efficiency it is desirable to exploit temporarily unused cluster resources. Existing approaches aim for that goal by running additional applications. These approaches, however, a) lack in flexibility to dynamically grant the time-critical application the resources it needs, b) are insufficient for isolating the time-critical application from harmful side-effects introduced by additional applications or c) are not general because application-specific interfaces are used. In this thesis, a software framework is presented that allows to exploit unused resources in a dedicated cluster without harming a time-critical application. Additional applications are hosted in Virtual Machines (VMs) and unused cluster resources are allocated to these VMs at runtime. In order to avoid resource bottlenecks, the resource usage of VMs is dynamically modified according to the needs of the time-critical application. For this purpose, a number of previously not combined methods is used. On a global level, appropriate VM manipulations like hot migration, suspend/resume and start/stop are determined by an informed search heuristic and applied at runtime. Locally on cluster nodes, a feedback-controlled adaption of VM resource usage is carried out in a decentralized manner. The employment of this framework allows to increase a cluster’s usage by running additional applications, while at the same time preventing negative impact towards a time-critical application. This capability of the framework is shown for the HLT-Chain application: In an empirical evaluation the cluster CPU usage is increased from 49% to 79%, additional results are computed and no negative effect towards the HLT-Chain application are observed.
Autophagy, together with the ubiquitin-proteasome system, is the main quality control pathway responsible for maintaining cell homeostasis. There are several types of autophagy distinguished by cargo selectivity and means of induction. This thesis focuses on macroautophagy, hereafter autophagy, where a double-layered membrane is formed originating from the endoplasmatic reticulum (ER) engulfing cargo selectively or unselectively. Subsequently, a vesicle forms around the cargo, an autophagosome, and eventually fuses with the lysosome leading to degradation of the vesicle content and release of the cargo “building blocks”. Basal autophagy continuously occurs, unselectively engulfing a portion of the cytoplasm. However, autophagy can also be induced by stress such as starvation, protein aggregation, damaged organelles, intracellular pathogens etc. In this case, the cargo is selectively targeted, and the fate of the autophagosome is the same as in basal autophagy. In recent years, interest in identifying mechanisms of autophagy regulation has risen due to its importance in neurodegenerative diseases and cancer. Given the complexity of the process, its execution is tightly regulated from initiation, autophagosome formation, expansion, closure, and finally fusion with the lysosome. Each of the steps involves different protein complexes, whose timely activity is orchestrated by post-translational modifications. One of them is ubiquitination. Ubiquitin is a small, 76-amino acid protein conjugated in a 3-step reaction to other proteins, in a reversible manner, meaning undone by deubiquitinases. Originally described as a degradation signal targeting proteins to the proteasome, today it is known it has various additional non-proteolytic functions, such as regulating a protein’s activity, localization, or interaction partners. The role of ubiquitin in autophagy has already been shown. However, given the reversibility and fine-tuning of the ubiquitin signal, many expected regulators remain unidentified. This work aimed to identify novel deubiquitinating enzymes that regulate autophagy. We identified ubiquitin-specific protease 11 (USP11) as a novel, negative regulator of autophagy. Loss of USP11 leads to an increase in autophagic flux, whereas overexpression of USP11 attenuates it. Moreover, this observation was reproducible in model organism Caenorhabditis elegans, emphasizing the importance of USP11 in autophagy regulation. To identify the mechanism of USP11-dependent autophagy regulation, we performed a USP11 interactome screen after 4 hour Torin1 treatment and identified a plethora of autophagy-related proteins. Following the most prominent hits, we have investigated versatile ways in which USP11 regulates autophagy. USP11 interacts with the PI3KC3 complex, the role of which is phosphorylating lipids of the ER, thereby initiating the formation of the autophagosomal membrane. Phosphorylated lipids serve as a recruitment signal for downstream effector proteins necessary for the membrane expansion. The core components of the complex are VPS34, the lipid kinase, ATG14, the protein responsible for targeting the complex to the ER, VPS15, a pseudokinase with a scaffolding role, Beclin1, a regulatory subunit, and NRBF2, the dimer-inducing subunit. We have found USP11 interacts with the complex and, based on its activity, USP11 influences post-translational status of all the aforementioned subunits, except for ATG14. Moreover, we have found that loss of USP11 leads to an increase in NRBF2 levels, whereas it does not change the levels of the other proteins. Given that the dimerization of the complex leads to an increase in complex activity, we investigated if the complex is more tightly formed in the absence of USP11, and if it is more active. We have found both to be the case. Although the exact mechanism of USP11-dependent PI3KC3 complex regulation remains to be identified, we found that loss of USP11 stimulates the complex formation and activity, likely contributing to the general effect of USP11 on autophagy flux. Additionally, we found that USP11 modulates levels of mTOR, the most upstream kinase in autophagy initiation steps and general multifaceted metabolism regulator. Loss of USP11 led to downregulation of mTOR levels, suggesting USP11 may rescue mTOR from proteasome-mediated degradation. Furthermore, we found mTOR to be differentially modified depending on the activity of USP11. However, it remains to be shown if USP11-dependent mTOR regulation contributes to the observed autophagy phenotype. Taken together, USP11 is a novel, versatile, negative regulator of autophagy, and an important addition to our knowledge on the regulation of autophagy by the ubiquitin system.
With the increasing energies and intensities of heavy-ion accelerator facilities, the problem of an excessive activation of the accelerator components caused by beam losses becomes more and more important. Numerical experiments using Monte Carlo transport codes are performed in order to assess the levels of activation. The heavy-ion versions of the codes were released approximately a decade ago, therefore the verification is needed to be sure that they give reasonable results. Present work is focused on obtaining the experimental data on activation of the targets by heavy-ion beams. Several experiments were performed at GSI Helmholtzzentrum für Schwerionenforschung. The interaction of nitrogen, argon and uranium beams with aluminum targets, as well as interaction of nitrogen and argon beams with copper targets was studied. After the irradiation of the targets by different ion beams from the SIS18 synchrotron at GSI, the γ-spectroscopy analysis was done: the γ-spectra of the residual activity were measured, the radioactive nuclides were identified, their amount and depth distribution were detected. The obtained experimental results were compared with the results of the Monte Carlo simulations using FLUKA, MARS and SHIELD. The discrepancies and agreements between experiment and simulations are pointed out. The origin of discrepancies is discussed. Obtained results allow for a better verification of the Monte Carlo transport codes, and also provide information for their further development. The necessity of the activation studies for accelerator applications is discussed. The limits of applicability of the heavy-ion beam-loss criteria were studied using the FLUKA code. FLUKA-simulations were done to determine the most preferable from the radiation protection point of view materials for use in accelerator components.