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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.
The venture capital industry holds relevance for entrepreneurs looking for money to finance an innovative project, investors seeking to make money by investing in entrepreneurial firms and governments trying to promote innovation and entrepreneurship. Venture capital investment could facilitate innovation and thus a better economy.
Venture capital has enabled the U.S. to support its entrepreneurial talent by turning ideas into world-famous products and services, building companies from mere business plans to mature and powerful organizations. Three of the five largest U.S. public companies by market capitalization – Apple, Google and Microsoft – received most of their early external funding from venture capital. Having its ups and downs, venture capital investment in the U.S. expanded from virtually zero in the mid-1970s to $8 billion in 1995 and $49.3 billion in 2014. Venture backed companies have been a prime driver of economic growth in the U.S.Across the pacific, venture capital investment in China has grown out of the transition from a centrally planned economy to a free market economy over the past three decades, becoming an important pillar supporting China’s innovation system. In 2015, a total of 2,824 venture capital investment deals provided an aggregate investment of $36.9 billion. Venture capital has long been a hot topic in China’s capital market, particularly since the government decided to boost “mass entrepreneurship and innovation” in 2014.
In the U.S., most venture capital firms are organized as limited partnerships, with the venture capitalists being general partners and the investors limited partners. Studies have shown that investors choose to invest through venture funds as an intermediary rather than placing their investments directly with the entrepreneurs; because of the high risk nature of the entrepreneur’s business, it is hard for them to get bank loans or direct equity investments. Conflicts may also arise, however, between the venture capitalists acting as agents and the investors as principals.5 This agency problem maybe particularly severe, since venture capital provides money for businesses with high potential and high risk, although the limited partnership has certain merits and is still most commonly chosen as the business form for venture capital funds.6 At the same time, the fact that general partners have total control of the partnership business necessitates that the agency problem is addressed by legal rules, contracts and other mechanisms.
Meanwhile, despite the rapid growth of venture capital investments in China, little attention has been paid to the organizational form of venture capital funds. In contrast to the U.S., most Chinese venture funds have been structured as corporations. One may argue that it was due to legislative reasons: that the limited partnership was not recognized by Chinese law when venture capital first appeared in China. However, after adopted a chapter was adopted in the Partnership Enterprise Law (PEL) governing limited partnerships in 2007, most of the venture funds abided by their choice, while those opting for the limited partnership have encountered difficulties: the limited partners are having trouble trusting the general partners with their money and are therefore interfering with the operation of the partnership business, which may lead to dissolution of the partnership.
This thesis applies transaction cost theory to explain the benefits and costs of choosing the limited partnership as a business form in the special context of venture capital investments, showing that the potential agency conflict between the general partners and the limited partners have been mitigated by legal and other mechanismsin the United States, and that the U.S. investors could therefore exploit the merit of the limited partnership form in venture capital financing. In China, investors have different answers to the agency problem. Similarly to the situation in the U.S., Chinese partners also employ contract terms to deal with agency problems, and the legislators enact laws that aim at regulating the limited partnership form; some legislation was even transplanted from the U.S., such as that part of the PEL which governs limited partnerships. It seems, then, that similar mechanisms that deal with agency problems also exist in China. However, given the unique history of the development of China’s innovation system and venture capital market, the effectiveness of these constraints is questionable. Chinese venture capital investors have therefore characteristically behaved differently to U.S. investors. Rather than relying on these questionable mechanisms, Chinese investors as well as the Chinese government have developed different approaches to addressing these agency problems.
Snake bite envenoming often results in disability or death of breadwinners of poor families in the rural tropics and the subtropics of Nepal. Identification of the medically relevant snake species, circumstances of venomous snake bites, prehospital care of their bites and human responses to snakes and snake bite is, therefore, crucial to enable victims or first aider to select the appropriate first aid measures, physicians to anticipate complications and to use appropriate treatment protocols as well as the local community to implement prevention strategies. Inadequate educational gaps exist in Nepal and hinder identification of snakes involved in bites. To fill this gap, I aim to provide an evidence-based list of medically relevant snake species. Snake specimens brought by patients bitten or their attendants from the tropical and subtropical regions in southeastern, southcentral, and southwestern Nepal to snake bite treatment centres over a period from 2010 through 2014, were taxonomically identified and medical records of envenoming were evaluated.
In Nepal, the epidemiology of snake bite is poorly known. Here I describe the ecological circumstances of proven krait (Bungarus spp.) and Russell´s Viper (Daboia russelii) bites to elucidate and examine, whether environmental circumstances or human behaviour contributed to envenoming. In a cross-sectional study, data about prehospital care, environmental circumstances of 46 krait and 10 Russell´s Viper bites were evaluated. Patients were interviewed using structured interview forms. Snake bite prone communities were surveyed to test people´s knowledge on snakes and their attitude towards venomous snakes in general.
Of 349 snakes involved in bites, 199 (57%) specimens were found to be medically relevant venomous snakes that included 11 species belonging to six genera and two families. Among them, Naja naja (n = 76, 22%), Bungarus caeruleus (n = 65, 19%) and Trimeresusurs albolabris (n = 10, 3%) were the most widely distributed snakes. Daboia russelii (n = 10, 3%) was found to be restricted to the southwestern part of Nepal. For B. walli, a previously poorly known species, 13 voucher specimens represent the first country records of this species as well as the first documented cases of involvement in snake bite envenoming by this species in Nepal.
Numerous snake bites (33%) occurred at night, during the rainy season, and are mainly due to Bungarus species, particularly B. caeruleus. Bites of cobras and Russell’s Vipers are a risk at daytime. Evaluation of data regarding the place where the bite happened, indicates that the snake bite risks appear to be as high in residential areas, in and around houses, as in rural areas. In cases of kraits (n = 46), 61% of the bites occurred while the victim was sleeping indoors, those of Russell´s Vipers mainly during agricultural activities in the fields. Analysis of socio-demographic data revealed that both krait and viper bites predominantly affected farmers or their family members. However, snake bites involved also people of higher socio-economic status, which suggests that it is not a health problem of poor people only living in the rural areas of Nepal.
A small number of snake bite victims (n = 7) sought help from traditional healers, but most patients went to hospitals for medical treatment using motorbikes (65%) or were transferred by ambulance cars (22%). As a first aid measure, most patients (78%) had used a tourniquet, which is of doubtful value and has often severe sequelae, instead of applying the WHO recommended pressure immobilisation bandage or local compression pad. The overall case fatality rate was calculated to be 10%, but up to 17% in cases of Bungarus spp. bites.
Rural community people were found to be extremely afraid of snakes, a major reason for indiscriminate killing of even harmless snakes, e.g., Lycodon aulicus, which were wrongly considered to be venomous. This is mainly due to the poor knowledge on snakes in general and on their role in providing ecological services, which may eventually lead to a decline in snake populations and even the extinction of rare species.
The results of the present study strongly emphasize that snake bite is an important public health issue in Nepal. There is an urgent need to improve the knowledge of people on snakes and to try changing their attitudes towards these reptiles, in addition to documenting the biodiversity and distribution of medically relevant snakes, the epidemiology and circumstances of their bites. Avoiding high-risk behaviour (e.g., killing of snakes), using screened doors and windows are some of the suggested measures preventing snake bite. Early and accurate identification of the snakes involved should help physicians to apply timely treatment, eventually referring the patient to the appropriate hospital. This also has important implications in developing public health and conservation strategies, to the benefit of the people of Nepal.
Savannas provide essential ecosystem services for human well-being in West Africa. Thus, ecosystem change not only directly affects biodiversity but also human livelihoods. Human land use considerably shaped these savanna ecosystems for millennia, particularly agriculture, livestock grazing, logging and the collection of non-timber forest products (NTFPs). NTFPs are wild plant products and comprise all organic matter from herbaceous plants, shrubs, and trees (excluding timber). Current increasing land use pressure through fast demographic changes is widely esteemed as a severe threat for savanna biodiversity and the socio-economy of rural communities. In consideration of the pivotal role of NTFP species for biodiversity and livelihoods, it is important to evaluate the effect of increasing land use change on savanna vegetation and on its provisioning service for human well-being. Thus, the major aim of this thesis is to investigate the impacts of land use intensification on vegetation composition, diversity and function and its consequences for provisioning ecosystem services (NTFPs) and human well-being in a West African savanna.
The research for this study was conducted in the North Sudanian vegetation zone of south-eastern Burkina Faso, where population growth exceeds the nationwide trend. Generally, Burkina Faso belongs to the worldwide poorest countries, where nearly one quarter of the population suffers from malnutrition (FAO 2014). The integration of NTFPs and particularly wild food species into rural household economies is, thus, an important measure in the national combat against poverty and food insecurity (FAO 2014). Against this background, I focus on vegetation changes, the economic importance of NTFPs as well as the decrease and substitution of wild food species in this study.
Vegetation resurveys of different vegetation types since the early 1990s showed that land use change led to more pronounced changes in the herbaceous than in the woody vegetation layer. Most woody vegetation types stayed stable in species composition and richness, even though some highly useful tree species (Vitellaria paradoxa, Parkia biglobosa) declined in some woody vegetation types. In contrast, in most herbaceous vegetation types species richness increased and species composition considerably changed. This change might be explained by a general ruderalisation process through a pronounced increase of wide-ranging herbaceous species. However, in spite of a general species increase in the herbaceous layer, a decrease of preferred herbaceous fodder species was found. Thus, the decline of useful species in both layers is alarming. Herbaceous vegetation types also showed more pronounced changes in plant functional trait characteristics in comparison to woody vegetation types. However, an increase of smaller plant species and species with a high diaspore terminal velocity (VTerm) was found in both vegetation layers. Since these two trait responses are generally related to grazing and browsing, the strong increase of livestock herds is likely to be responsible for the detected vegetation changes.
In addition to the vegetation study, interviews showed that all useful food species were widely considered to decline. The two economically most important tree species, the shea tree (Vitellaria paradoxa) and the locust bean tree (Parkia biglobosa) that contribute with 70% to wild food income, were considered among the most declining species of all cited wild food species. On this matter, local perceptions of species decline and results from field observations are in accordance. However, a wide range of cited substitutes indicated a great knowledge on alternative plant species in the area. Most wild food species are, however, substituted by other highly valued wild food species. Although our results suggest that rural communities are able to cope with the decrease or absence of wild food species, growing decline of one species would concurrently increase the pressure on other native food species. Therefore, the need to counteract the decrease of highly useful wild food species should be of high priority in management measures. In general, I showed that NTFPs are an essential component in rural households, since it contributed with 45 % to total household income. Significant differences in NTFP dependency between the two investigated villages and across the three main ethnic groups were detected, reflecting different traditional uses and harvesting practices. In general, it was shown that poorer households depend more on NTFP income than wealthier households. Against the background of this study, management strategies for agroforestry systems and poverty alleviation should consider local differences, and ethnicity-dependent NTFP-use patterns.
Overall, the combination of field studies on temporal and functional vegetation change with socio-economic and ethno-botanic interviews increases the knowledge on qualitative and quantitative vegetation changes and on the consequences for rural populations. This thesis gives a thorough insight into decreasing trends of economically valued plant species and thus gives evidence on the consequences of vegetation changes for ecosystem services of West African savanna ecosystems. Further, different NTFP-dependencies and use preferences according to socio-economic and cultural variables, such as ethnicity, present a valuable basis for specific decision-making and should be considered in management plans.
Die vorliegende Arbeit beschäftigt sich mit der BFV-Reduktion von Hamiltonschen Systemen mit erstklassigen Zwangsbedingungen im Rahmen der klassischen Hamiltonschen Mechanik und im Rahmen der Deformationsquantisierung. Besondere Aufmerksamkeit wird dabei Zwangsbedingungen zuteil, die als Nullfaser singulärer äquivarianter Impulsabbildungen entstehen. Es ist schon länger bekannt, daß für Nullfasern regulärer äquivarianter Impulsabbildungen die in der theoretischen Physik gebräuchliche Methode der BFV-Reduktion zur Phasenraumreduktion nach Marsden/Weinstein äquivalent ist. In [24] konnte gezeigt werden, daß in dieser Situation die BFV-Reduktion sich auch im Rahmen der Deformationsquantisierung natürlich formulieren läßt und erfolgreich zur Konstruktion von Sternprodukten auf Marsden/Weinstein-Quotienten verwendet werden kann. Ein Hauptergebnis der vorliegenden Arbeit besteht in der Verallgemeinerung der Ergebnisse aus [24] auf den Fall singulärer Impulsabbildungen, deren Komponenten 1.) das Verschwindungsideal der Zwangsfläche erzeugen und 2.) einen vollständigen Durchschnitt bilden. Die Argumentation von [24] wird durch Gebrauch der Störungslemmata aus dem Anhang A.1 systematisiert und vereinfacht. Zum Existenzbeweis von stetigen Homotopien und stetiger Fortsetzungsabbildung für die Koszulauflösung werden der Zerfällungssatz und der Fortsetzungssatz von Bierstone und Schwarz [20] benutzt. Außerdem wird ein ’Jacobisches Kriterium’ für die Überprüfung von Bedingung 2.) angegeben. Basierend auf diesem Kriterium und Techniken aus [3] werden die Bedingungen 1.) und 2.) an einer Reihe von Beispielen getestet. Als Korollar erhält man den Beweis dafür, daß es symplektisch stratifizierte Räume gibt, die keine Orbifaltigkeiten sind und dennoch eine stetige Deformationsquantisierung zulassen. Ferner wird (ähnlich zu [92]) eine konzeptionielle Erklärung dafür gegeben, warum im Fall vollständiger Durchschnitte das Problem der Quantisierung der BRST-Ladung eine so einfache Lösung hat. Bildet die Impulsabbildung eine erstklassige Zwangsbedingung, ist aber kein vollständiger Durchschnitt, dann ist es im allgemeinen nicht bekannt, wie entsprechende Quantenreduktionsresultate zu erzielen sind. Ein Hauptaugenmerk der Untersuchung wird es deshalb sein, in dieser Situation die klassische BFV-Reduktion besser zu verstehen – natürlich in der Hoffnung, Grundlagen für eine etwaige (Deformations-)Quantisierung zu liefern. Wir werden feststellen, daß es zwei Gründe gibt, die Tate-Erzeuger (alias: Antigeister höheren Niveaus) notwendig machen: die Topologie der Zwangsfläche und die Singularitätentheorie der Impulsabbildung. Die Zahl der Tate-Erzeuger kann durch Übergang zu projektiven Tate-Erzeugern, also Vektorbündeln, verringert werden. Allerdings sorgt Halperins Starrheitssatz [57] dafür, daß im wesentlichen alle Fälle, für die die Zwangsfläche kein lokal vollständiger Durchschnitt ist, zu unendlich vielen Tate-Erzeugern führen. Erzeugen die Komponenten einer Impulsabbildung einer linearen symplektischen Gruppenwirkung das Verschwindungsideal der Zwangsfläche, so kann man eine lokal endliche Tate-Auflösung finden. Diese besitzt nach dem Fortsetzungssatz und dem Zerfällungssatz von Bierstone und Schwarz stetige, kontrahierende Homotopien. Ausgehend von einer solchen Tate-Auflösung konstruieren wir, die klassische BFV-Konstruktion für vollständige Durchschnitte verallgemeinernd, eine graduierte superkommutative Algebra. Wir können zeigen, daß diese graduierte Algebra auch im Vektorbündelfall eine graduierte Poissonklammer besitzt, die sogenannte Rothstein-Poissonklammer. Die Existenz einer solchen Poissonklammer war bereits von Rothstein [87] für die einfachere Situation einer symplektischen Supermannigfaltigkeit bewiesen worden. Darüberhinaus werden wir sehen, daß es auch im Vektorbündelfall eine BRST-Ladung gibt. Diese sieht im Fall von Impulsabbildungen etwas einfacher aus als für allgemeine erstklassige Zwangsbedingungen. Insgesamt wird also die klassische BFV-Konstruktion [95] auf den Fall projektiver Tate-Erzeuger verallgemeinert, und als eine Homotopieäquivalenz in der additiven Kategorie der Fréchet-Räume interpretiert.
This research investigated variation in the pronunciations of three RP vowels phonemes /e/, /ɜ:/ and /ə/, among Ewe speakers of English in Ghana. It focused on variation at both individual and societal levels, investigating how social relations within these structures influenced the use of the three vowels among the speakers. In this study, social structures were seen as a system where individual members depended on one another and were linked through multiple ties. The distribution of the vowels was in respect with the social variables: age, gender and education, including dialect and social network. The study used a corpus of word-list recorded in a face-to-face interview from 96 participants selected through stratification and networking across two dialect regions: Aŋlɔ and Eveme. Using both aural and acoustic analyses, coupled with ANOVA and t-test, the study has shown that the three RP vowels exist in Ghana Eve English as independent phonemes. Each of them however has allophonic variants; /e/ has variants [e̠], [ɪ] and [ɜ:]; /ɜ:/ has [eː] and [ɜ:], while /ə/ has [ə], [ɪ], [o] and [ʌ] as its variants. The choice of the variants of /ɜ:/ and /e/ have been found to depend on speaker age, gender, and social network. But the geographical location of the speaker will largely determine how these vowels are spoken. Phonological contexts as well as speaker idiosyncrasy are also likely to condition the choice of some of these variants, however, their effects seem less important as determinant of the differences observed than those of the social factors. It is evident that age, gender and class differentiations that have been widely reported cannot be universal, they can vary from one society to another. Also though social structures as well as social relations in a speech community can play significant roles in the individual’s linguistic repertoire, the attitude of the speaker and the phonological contexts of a segment can have a huge impact on the use of that variable.
Variation in enclitic possessive constructions in Southern Italian dialects: a syntactic analysis
(2019)
This thesis investigates enclitic possessive constructions (EPCs) that are a widespread and frequently used construction among Southern Italian dialects (SIDs). In general, EPCs display the structure N-EP where the N is a (singular) kinship noun and the EP the enclitic possessive directly attached to the kinship noun. However, there is a huge variation among SIDs as well as within the system of a specific dialect. The aim of the present work is twofold. The empirical part contributes new data to this topic as well as a detailed and organized overview of (micro-) variational observations from data of different sources including for example the linguistic maps of the AIS (Atlante Italo-Svizzero). The main aspects of variation are (a) the presence or absence of an obligatory article (D – N-EP vs. N-EP), (b) the possibility of plural kinship noun-EPCs and (c) the compatibility of a specific person-EP with a specific kinship noun within a dialect. Based on the empirical findings, the syntactic part proposes a syntactic analysis for EPCs focusing on the following research questions: 1) In some dialects, singular kinship noun-EPCs display an obligatory article with the 3SG.EP. What is the reason for this article-based person split (1st and 2nd vs. 3rd)? And further, how are both structures, with and without an article, represented in the syntax, i.e. in DP and PossP? 2) In some dialects, plural kinship nouns are allowed to occur in EPCs, and in others, they are disallowed. With respect to this dichotomy, what is the role of NumP? 3) Kinship nouns are relational and express inalienability. How can this property be captured in the syntax? I argue that the article-based person split is due to the deictic properties of the possessor-persons, meaning that 1SG.EPs and 2SG.EPs need to be bound by the speaker’s coordinates in the left periphery of the clause, whereas 3SG.EPs do not. As a consequence, 1SG and 2SG EPCs move to the highest position, i.e. to D°, and 3SG EPCs can stay lower in the structure, i.e. in Poss°. Based on this dichotomy, I argue that both D° and Poss° can host EPCs. In order to capture the (im)possibility of plural kinship nouns-EPCs, I argue that NumP, as a parametrised position, can block or allow further movement of the kinship noun to Poss° (and to D°). With respect to the relational nature of kinship nouns I propose that they are base-generated within the complement position of a relator phrase (RP), and EPs in Poss°. In order to derive EPCs, the kinship nouns must move out of their position. The kinship noun lands in NumP, the position where further movement is probably blocked. If further movement is allowed, the kinship noun merges to the left of the EP, resulting in a complete EPC in Poss°. The last leg of the movement to D° depends on the presence of absence of an obligatory article. The phenomenon of EPCs displays a huge variation among SIDs and needs to be investigated from different perspectives and different linguistic areas. The present work contributes to the puzzle of EPCs new data and a syntactic analysis.
This dissertation consists of three essays, which study the relation between stock prices and the macroeconomy using vector autoregressions (VARs). The first essay focuses on the link between stock prices and the current account. I find that stock markets provide a channel, in addition to the traditional exchange rate channel, through which external balance for a country with a current account imbalance can be restored. The second essay explores the transmission of U.S. stock price shocks to real activity and prices in G-7 countries. I achieve identification by imposing a small number of sign restrictions on impulse responses, while controlling for monetary policy, business cycle and government spending shocks. The results suggest that stock price movements are important for fluctuations in G-7 real activity and prices, but do not qualify as demand side business cycle shocks. The third essay investigates the impact of monetary and technology shocks on the stock market. I find an important role for technology shocks, but not monetary shocks, in explaining variations in real stock prices. The identification method is flexible enough to study the effects of technology news shocks. The responses are consistent with the idea that news on technology improvements have an immediate impact on stock prices.
Aim: To study the changes in leiomyoma volume following uterine artery embolization (UAE) and to correlate these changes with the initial leiomyoma volume and location within the uterus and to evaluate the impact of preprocedural prediction of the best tube angle obliquity for visualization of the uterine artery origin using 3D-reconstructed contrast-enhanced MR angiography (CE-MRA) on the radiation dose, fluoroscopy time and contrast medium volume used during UAE. Materials and Methods: The study was performed in two parts. The first part was retrospectively done on 28 patients (age range: 37-57 years, mean: 48 years, SD: 4.81) in whom UAE was performed. All leiomyomas in all patients were evaluated. In total, 84 leiomyomas were evaluated. MRI studies were performed before, 3 months and 1 year after UAE. The volumes and location of each leiomyoma in each patient were evaluated in consensus by two radiologists. The second part included 40 consecutive patients (age range: 37-56 years, mean: 46 years, SD: 4.49) and was done in a controlled prospective/retrospective manner. In 20 sample patients (prospective part) pre-procedural prediction of the best tube angle obliquity was predicted using 3D-reconstructed CE-MRA and provided to the interventionalist. 3D-reconstruction was done using Inspace application. The radiation dose, fluoroscopy time and contrast medium volume for those patients were compared with the data of the last 20 procedures (control) performed by the same interventionalist (retrospective part). Results: For the first part the mean pre-embolization volume was 51.6 cm3 range:0.72-371.1cm3, SD=79.3). At 3-month follow-up 83 (98.8%) leiomyomas showed a mean volume reduction of 52.62% (range: 12.79–96.67%, SD=21.85) and 1 leiomyoma (1.2%) increased in volume. At 1-year follow-up 5 (6%) leiomyomas were not detectable, 72 (85.7%) showed a further mean of 20.5% (range: 2.52–58.72%, SD=11.92) volume reduction compared to the 3-month follow-up volume and 7 (8.3%) leiomyomas increased in volume. A statistically significant (p=0.026 at 3-month, p=0.0046 at 1-year) difference in percentage of volume change was observed based on leiomyoma location; submucous leiomyomas showed the largest volume reduction. The initial leiomyoma volume showed a weak negative correlation (Spearman's correlation-coefficient =-0.35 at 3m and -0.36 at 1y) with the leiomyoma volume change. For the second part the tube angle prediction resulted in a significant reduction of the radiation dose utilized (p<0.001), fluoroscopy time (p=0.002) and contrast medium volume (p<0.001) for the sample patients when compared with the control patients. The overall radiation dose was reduced from a mean of 11044 μGym2 to a mean of 4172.5 μGym2, fluoroscopy time was reduced from a mean of 15.45 minutes to 8.81 minutes and contrast medium volume was reduced from a mean of 135 ml to 75 ml. Conclusion: UAE results in significant leiomyoma volume reduction at 3-month and 1- year follow-up. The leiomyoma location plays an important role in volume changes while the initial leiomyoma volume plays a minor role. Pre-procedural prediction of the best tube angle obliquity for visualization of the origin of the uterine artery using 3D-reconstructed CE-MRA results in a significant reduction of the radiation dose, fluoroscopy time and contrast medium volume used during UAE.
Post-translational modifications (PTMs) of cell fate regulating proteins determine their stability, localization and function and control the activation of cell protective signaling pathways. Particularly in aberrantly dividing cancer cells the surveillance of cell cycle progression is essential to control tumorigenicity. In a variety of carcinomas, lymphomas and leukemias, the tumor-suppressive functions of the apoptosis- and senescence-regulating promyelocytic leukemia protein (PML) is controlled by numerous PTMs. PML poly-ubiquitylation and polySUMOylation at several lysine (K) residues induce PML degradation that is correlated to a progressive and invasive cancer phenotype. Besides several known E3 ubiquitin protein ligases that are involved in PML degradation, less is known about PML-specific deubiquitylases (DUBs), the respective DUB-controlled ubiquitin conjugation sites and the functional consequences of PML (de)ubiquitylation. Here, we show that the pro-tumorigenic DUB USP22 critically regulates PML protein stability by modifying PML residue K394 in advanced colon carcinoma cells in vitro and that this modification also impacts the homeostasis and function of the leukemia-associated mutant variant PML-RARα. We found that ablation of USP22 decreases PML mono-ubiquitylation and correlates with a prolonged protein half-live in colon carcinoma and acute promyelocytic leukemia (APL) cell lines. Additionally, silencing of USP22 enhances interferon and interferon-stimulated gene (ISG) expression in APL cells in vitro, which together with prolonged PML-RARα stability increases the APL cell sensitivity towards differentiation treatment. In accordance with the novel roles of USP22 as suppressor of the interferon response in human intestinal epithelial cells (hIECs), our findings imply USP22-dependent surveillance of PML-RARα stability and interferon signaling in human leukemia cells, revealing USP22 as central regulator of leukemia pathogenesis.
Using walls to navigate the room: egocentric representations of borders for spatial navigation
(2021)
Spatial navigation forms one of the core components of an animal’s behavioural repertoire. Good navigational skills boost survival by allowing one to avoid predators, to search successfully for food in an unpredictable world, and to be able to find a mating partner. As a consequence, the brain has dedicated many of its resources to the processing of spatial information. Decades of seminal work has revealed how the brain is able to form detailed representations of one’s current position, and use an internal cognitive map of the environment to traverse the local space. However, what is much less understood is how neural computations of position depend on distance information of salient external locations such as landmarks, and how these distal places are encoded in the brain.
The work in this thesis explores the role of one brain region in particular, the retrosplenial cortex (RSC), as a key area to implement distance computations in relation to distal landmarks. Previous research has shown that damage to the RSC results in losses of spatial memory and navigation ability, but its exact role in spatial cognition remains unclear. Initial electrophysiological recordings of single cells in the RSC during free exploration behaviour of the animal resulted in the discovery of a new population of neurons that robustly encode distance information towards nearby walls throughout the environment. Activity of these border cells was characterized by high firing rates near all boundaries of the arena that were available to the animal, and sensory manipulation experiments revealed that this activity persisted in the absence of direct visual or somatosensory detection of the wall.
It quickly became apparent that border cell activity was not only modulated by the distance to walls, but was contingent on the direction the animal was facing relative to the boundary. Approximately 40% of neurons displayed significant selectivity to the direction of walls, mostly in the hemifield contra-lateral to the recorded hemisphere, such that a neuron in left RSC is active whenever a wall occupies proximal space on the right side of the animal. Using a cue-rotation paradigm, experiments initially showed that this egocentric direction information was invariant to the physical rotation of the arena. Yet this rotation elicited a corresponding shift in the preferred direction of local head-direction cells, as well as a rotation in the firing fields of spatially-tuned cells in RSC. As a consequence, position and direction encoding in RSC must be bound together, rotating in unison during the environmental manipulations, as information about allocentric boundary locations is integrated with head-direction signals to form egocentric border representations.
It is known that the RSC forms many anatomical connections with other parts of the brain that encode spatial information, like the hippocampus and para-hippocampal areas. The next step was to establish the circuit mechanisms in place for RSC neurons to generate their activity in respect to the distance and direction of walls. A series of inactivation experiments revealed how RSC activity is inter-dependent with one of its communication partners, the medial entorhinal cortex (MEC). Together they form a wider functional network that encodes precise spatial information of borders, with information flowing from the MEC to RSC but not vice versa. While the conjunction between distance and heading direction relative to the outer walls was the main driver of neural activity in RSC, border cells displayed further behavioural correlates related to movement trajectories. Spiking activity in either hemisphere tended to precede turning behaviour on a short time-scale in a way that border cells in the right RSC anticipated right-way turns ~300 ms into the future.
The interpretation of these results is that the RSC’s primary role in spatial cognition is not necessarily on the early sensory processing stage as suggested by previous studies. Instead, it is involved in computations related to the generation of motion plans, using spatial information that is processed in other brain areas to plan and execute future actions. One potential function of the RSC’s role in this process could be to act correctly in relation to the nearby perimeter, such that border cells in one hemisphere are involved in the encoding of walls in the contralateral hemifield, after which the animal makes an ipsilateral turn to avoid collision. Together this supports the idea that the MEC→RSC pathway links the encoding of space and position in the hippocampal system with the brain’s motor action systems, allowing animals to use walls as prominent landmarks to navigate the room.
Anthropogenic activities have a major impact on our planet and rapidly drive biodiversity loss in ecosystems at a global scale. Particularly over the last century, rising CO2 emissions significantly raised global temperatures and increased the intensity and frequency of droughts and heatwaves. Additionally, agricultural land use and fossil fuel combustion contribute to the continuous release of nitrogen (N) and phosphorus (P) into ecosystems worldwide through extensive fertilization and deposition from the atmosphere. It is important to understand how these rapid changes affect the evolution of plant populations and their adaptive potential. Adaptation by natural selection (i.e., adaptive evolution) within a few generations is an essential process as a response to rapid environmental changes. Rapid evolution of plant populations can be detected by using the so-called resurrection approach. Here, diaspores (i.e., seeds) from a population are collected before (ancestors) and after (descendants) a potential selection pressure (e.g., consecutive years of drought or changes in nutrient supply). Comparing phenotypes of ancestors and descendants in a common environment such as an outside garden, greenhouse, or climate chamber, may then reveal evolutionary changes. Ideally, plants are first grown in a common environment for an intermediate refresher generation to reduce parental and storage effects.
The aim of this thesis was to investigate the occurrence of adaptive evolution in natural plant populations in response to rapidly changing environments over the past three decades. I conducted three experiments using the resurrection approach to generate comprehensive data on the adaptive processes that acted on three plant populations from three different species over the last three decades. Furthermore, I filled knowledge gaps in plant evolutionary ecology and conceptually developed the resurrection approach further.
In Chapter I, I performed a novel approach by testing for adaptive evolution in natural plant populations using the resurrection approach in combination with in-situ transplantations. I cultivated seedlings from ancestors (23 – 26 years old) and contemporary descendants of three perennial species (Melica ciliata, Leontodon hispidus and Clinopodium vulgare) from calcareous grasslands in the greenhouse and In Chapter III, I assessed the reproducibility of phenotypic differences between genotypes among three different growth facilities (climate chamber, greenhouse, and outdoor garden). I also evaluated differences in phenotypic expression between plants grown after one vs. two intermediate generations (i.e., refresher generations). I performed this experiment within the framework of the resurrection approach and compared ancestors and descendants of the same population of Leontodon hispidus.
I observed very strong differences among plants growing in the different growth facilities. I found a significant interaction between the growth facility and the temporal origin (ancestors vs. descendants): descendants had significantly larger rosettes than ancestors only in the greenhouse and they flowered significantly later than ancestors exclusively in the climate chamber. I did not find significant differences between intermediate generations within the growth facilities. Overall, Chapter III shows that the use of a particular experimental system can dictate the presence and magnitude of phenotypic differences. This implies that absence of evidence is not evidence of absence when it comes to investigating genetically based trait differentiation among plant origins (in space or time). Experimental systems should be carefully designed to provide meaningful conditions, ideally mimicking the environmental conditions of the population’s origins. Finally, growing a second intermediate generation did not impact the genetic differences of ancestors and descendants within the environments, supporting the idea that only one intermediate generation may be sufficient to reduce detectable parental and storage effects.
The resurrection approach allows a better understanding of rapid plant adaptation, but some limitations deserve to be highlighted. I only studied one population per species, and Chapters II and III only focus on one population of L. hispidus, which is also hampering generalizations, as adaptive potential can vary greatly among populations of the same species. I only compared the ancestral genotypes to one descendant sample with a long time span in between (26 – 28 years), which makes it hard to pinpoint the selection agents that caused the genetic differentiation among the sampling years. Hence, closely monitoring biotic and abiotic factors of the studied populations between the ancestral and descendant sampling in future studies, would make identifying the responsible selection pressures more precise. I also recommend sampling multiple populations over consecutive years to improve the robustness of results and make generalizations more approachable.Furthermore, combining the resurrection approach with other methods such as in-situ transplantations will be valuable to offset the limitation that adaptations cannot be proven under artificial conditions (e.g., in the greenhouse).
Guanosine triphosphate (GTP) cyclohydrolase I (GCH1) catalyzes the conversion of GTP to dihydroneopterin triphosphate (H2NTP), the initiating step in the biosynthesis of tetrahydrobiopterin (BH4). Besides other roles, BH4 functions as cofactor in neurotransmitter biosynthesis. The BH4 biosynthetic pathway and GCH1 have been identified as promising targets to treat pain disorders in patients. The function of mammalian GCH1s is regulated by a metabolic sensing mechanism involving a regulator protein, GCH1 feedback regulatory protein (GFRP). GFRP binds to GCH1 to form inhibited or activated complexes dependent on availability of cofactor ligands, BH4 and phenylalanine, respectively. We determined high-resolution structures of human GCH1−GFRP complexes by cryoelectron microscopy (cryo-EM). Cryo-EM revealed structural flexibility of specific and relevant surface lining loops, which previously was not detected by X-ray crystallography due to crystal packing effects. Further, we studied allosteric regulation of isolated GCH1 by X-ray crystallography. Using the combined structural information, we are able to obtain a comprehensive picture of the mechanism of allosteric regulation. Local rearrangements in the allosteric pocket upon BH4 binding result in drastic changes in the quaternary structure of the enzyme, leading to a more compact, tense form of the inhibited protein, and translocate to the active site, leading to an open, more flexible structure of its surroundings. Inhibition of the enzymatic activity is not a result of hindrance of substrate binding, but rather a consequence of accelerated substrate binding kinetics as shown by saturation transfer difference NMR (STD-NMR) and site-directed mutagenesis. We propose a dissociation rate controlled mechanism of allosteric, noncompetitive inhibition.
The aim of this work was to establish a new way of predicting novel dual active compounds by combining classical fingerprint representation with state-of-the-art machine learning algorithms. Advantages and disadvantages of the applied 2D- and 3D-fingerprints were investigated. Further, the impact of various machine learning algorithms was analyzed. The new method developed in this work was used to predict compounds, which inhibit two different targets (LTA4H and sEH) involved in the same disease pattern (inflammation). The development of multitarget drugs has become more important in recent years. Many widespread diseases like metabolic syndrome, or cancer are of a multifactorial nature, which makes them hard to be treated effectively with a single drug. The new in silico method presented in this work can help to accelerate the design and development of multitarget drugs, saving time and efforts.
The nowadays readily available access to a large number of 3D-structures of biological targets and published activity data of millions of synthesized compounds enabled this study and was used as a starting point for this work. Four different data sets were compiled (crystalized ligands from the PDB, active and inactive compounds from ChEMBL23, newly designed compounds using a combinatorial library). Those data sets were collected and processed using an automated KNIME workflow. This automation has the advantage of allowing easy change and update of compound sources and adapted processing ways.
In a next step, the compounds from the compiled data sets were represented using a variety of well-established 2D- and 3D-fingerprints (PLIF, AtomPair, Morgan, FeatMorgan, MACCS). All those fingerprints share the same underlying bit string scheme but vary in the way they describe the molecular structure. Especially the difference between 2D- and 3D-fingerprints was investigated. 2D-fingerprints are solely based on ligand information. 3D-fingerprints, on the other hand, are based on X-ray structure information of protein-ligand complexes. One major difference between 2D- and 3D-fingerprints usage is the need for a 3D-conformation (pose) of the compound in the targets of interest when using 3D-fingerprints. This additional step is time-consuming and brings further uncertainties to the method.
Based on the calculated fingerprints state-of-the-art machine learning algorithms (SVC, RF, XGB and ADA) were used to predict novel dual active compounds. The models were evaluated by 10-fold cross validation and accuracy as the primary measure of model performance was maximized. Second, individual parameters of the four machine learning algorithms were optimized in a grid search to achieve maximal accuracy using the optimized partitioning scheme. Overall accuracies, regardless of fingerprint and machine learning algorithm, are slightly better for LTA4H than for sEH.
The goal to predict dual active compounds was realized by comparing the set of predicted to be active compounds for LTA4H and sEH. For the 3D-fingerprint PLIF the machine learning algorithm Random Forest was chosen, from which compounds for synthesis and testing were selected. Of 115 predicted to be active compounds, six compounds were cherry picked. Two compounds showed very good/moderate dual inhibitory activity. Of the 2D-fingerprints, the AtomPair fingerprint in combination with the machine learning algorithm Random Forest was chosen from which compounds were selected for synthesis and testing. 116 compounds were predicted to be dual active against LTA4H and sEH. One of those compounds showed good dual inhibitory activity.
In this work it was possible to show advantages and disadvantages of using 2D- and 3D-fingerprints in combination with machine learning algorithms. Both strategies (2D: ligand-based, 3D: structure-based) lead to the prediction of novel dual active compounds with moderate to very good inhibitory activity. The method developed in this work is able to predict dual active compounds with very good inhibitory activity and novel (previously unknown) scaffolds inhibiting the targets LTA4H and sEH. This contribution to in silico drug design is promising and can be used for the prediction of novel dual active compounds. Those compounds can further be optimized regarding binding affinity, solubility and further pharmacological and physicochemical properties.
This thesis combines behavioral and cognitive approaches regarding the Web for analyzing users' behavior and supposed interests.
The work is placed in a new field of research called Web Science, which includes, but is not restricted to, the analysis of the World Wide Web. The term Web Science is affected by Tim Berners-Lee et al., who invited the researchers to "create a science of the web" [BLHH+06a]. The thesis is structured in two parts, reflecting the intersection of disciplines that is required for Web Science.
The first part is related to computer science and information systems. This part defines the Gugubarra concepts and algorithms for web user profiling and builds upon the results by Mushtaq et al. [MWTZ04]. This profiling aims at understanding the behavior and supposed interests of users. Based on these concepts, a framework was implemented to support the needs of web site owners. The core technologies used are Java, Spring, Hibernate, and content management systems. The design principles, architecture, implementation, and tests of the prototype are reported.
The second part is directly related to behavioral economics and is connected to the areas of economics, mathematics, and psychology. This part contributes to behavior models, as was claimed by Tim Berners-Lee et al.: "Though individual users may or may not be rational, it has long been noted that en masse people behave as utility maximisers. In that case, understanding the incentives that are available to web users should provide methods for generating models of behaviour..."[BLHH+06b]. The focus here is on studies that investigate the user's choice of online information services in a multi-attribute context. The introduced research framework takes into account background and local context effects and builds upon theoretical foundations by Tversky and Kahneman [TK86]. The findings provide useful insights to behavioral scientists and to practitioners on how to use framing strategies to alter the user's choice.
Mitogen activated protein kinases (MAPKs) are found in all eukaryotic cells and represent crucial elements in the signal transduction from the plasma membrane to the nucleus. Although a broad variety of extracellular stimuli activate MAPKs, they evoke very distinct cellular responses. The amplitude and duration of MAPK activation determine signal identity and ultimately cell fate. A tight and finely tuned regulation is therefore critical for a specific cellular response. The role and the regulation of extracellular signal-regulated kinase 5 (ERK5), a MAPK with a large and unique C-terminal tail, were studied in different cellular systems. The study highlights two aspects of ERK5 regulation: control of the phosphorylation state and regulated protein stability. In analogy to other MAPKs ERK5 is activated by dual phosphorylation of threonine and tyrosine residues in its activation motif. A first part of the study concentrates on whether and how the protein tyrosine phosphatase PTP-SL is involved in the downregulation of the ERK5 signal. The direct interaction of both proteins is shown to result in mutual modulation of their enzymatic activities. PTP-SL is a substrate of ERK5 and, independent of its phosphorylation, binding to the kinase enhances its catalytic phosphatase activity. On the other hand, interaction with PTP-SL does not only downregulate enzymatic ERK5 activity but also effectively impedes its translocation to the nucleus. The second part of this study focuses on the interaction of ERK5 with c-Abl and its oncogenic variants Bcr/Abl and v-Abl. In this study these tyrosine kinases are demonstrated to regulate ERK5 by two mechanisms: first, by induction of kinase activity and secondly, by stabilisation of the ERK5 protein. Stabilisation involves the direct interaction of unique ERK5 domains with Abl kinases and is independent of MAPK cascade activation. The level of ERK5 and its intrinsic basal activity – rather than its activation – are essential for v-Abl-induced transformation as well as for survival of Bcr/Abl-positive leukaemia cells. Stabilisation of ERK5 thus contributes to cell survival and should therefore be considered as an additional aspect in therapy of chronic myeloid leukaemia. Taken together, the results obtained in this study demonstrate that diverse pathways regulate ERK5 signalling by affecting kinase activity, localisation and protein stability. While the phosphatase PTP-SL is involved in negative regulation of ERK5, Abl kinases potently activate ERK5 and increase its half-life. Protein stabilisation thus is presented as a novel mechanism in the regulation of MAPKs.
The thesis entitled „Investigations on the significance of nucleo-cytoplasmic transport for the biological function of cellular proteins" aimed to unreveal molecular mechanisms in order to improve our understanding of the impact of nucleo-cytoplasmic transport on cellular functions. Within the scope of this work, it could be shown that regulated nucleo-cytoplasmic transport of a subfamily of homeobox transcription factors controlled their intra- and intercellular transport, and thereby influencing also their transcriptional activity. This study describes a novel regulatory mechanism, which could in general play an important role for the ordered differentiation of complex organisms. Besides cis-active transport Signals, also post-translational modifications can influence the localization and biological activity of proteins in trans. In addition to the known impact of phosphorylation on the transport and activity of STAT1, experimental evidence was provided demonstrating that acetylation affected the interaction of STAT1 with NF-kB p65, and subsequently modulated the expression of apoptosis-inducing NF-kB target genes. The impact of nucleo-cytoplasmic transport on the regulation of apoptosis was underlined by showing that the evolutionary conservation of a NES within the anti-apoptotic protein survivin plays an essential role for its dual function in the inhibition of apoptosis and ordered cell division. Since survivin is considered a bona fide cancer therapy target, these results strongly encourage future work to identify molecular decoys that specifically inhibit the nuclear export of survivin as novel therapeutics. In order to further dissect the regulation of nuclear transport and to efficiently identify transport inhibitors, cell-based assays are urgently required. Therefore, the cellular assay Systems developed in this work may not only serve to identify synthetic nuclear export and Import inhibitors but may also be applied in systematic RNAi-screening approaches to identify novel components of the transport machinery. In addition, the translocation based protease- and protein-interaction biosensors can be applied in various biological Systems, in particular to identify protein-protein interaction inhibitors of cancer relevant proteins. In summary, this work does not only underline the general significance of nucleo-cytoplasmic transport for cell biology, but also demonstrates its potential for the development of novel therapies against diseases like cancer and viral infections.
This thesis contributes to the field of machine learning with a specific focus on the methods for learning relations between the inputs. Learning relationships between images is the most common primitive in vision. There are many vision tasks in which relationships across images play an important role. Some of them are motion estimation, activity recognition, stereo vision, multi-view geometry and visual odometry. Many of such tasks mainly depend on motion and disparity cues, which are inferred based on the relations across multiple image pairs. The approaches presented in this thesis mainly deal with, but are not limited to, learning of the representations for motion and depth. This thesis by articles consists of five articles which present relational feature learning models along with their applications in computer vision. In the first article, we present an approach for encoding motion in videos. To this end, we show that the detection of spatial transformations can be viewed as detection of coincidence or synchrony between the given sequence of frames and a sequence of features which are related by the transformation we wish to detect. Learning to detect synchrony is possible by introducing "multiplicative interactions'' into the hidden units of single layered sparse coding models.
We show that the learned motion representations employed for the task of activity recognition achieve competitive performance on multiple benchmarks. Stereo vision is an important challenge in computer vision and useful for many applications in that field. In the second article, we extend the energy based learning models, which were previously used for motion encoding, to the context of depth perception. Given the common architecture of the models for encoding motion and depth, we show that it is possible to define a single model for learning a unified representation for both the cues. Our experimental results show that learning a combined representation for depth and motion makes it possible to achieve state-of-the-art performance at the task of 3-D activity analysis, and to perform better than the existing hand-engineered 3-D motion features. Autoencoder is a popular unsupervised learning method for learning efficient encoding for a given set of data samples. Typically, regularized autoencoders which are used to learn over-complete and sparse representations for the input data, were shown to fail on intrinsically high dimensional data like videos. In the third article, we investigate the reason for such a behavior. It can be observed that the regularized autoencoders typically learn negative hidden unit biases. We show that the learning of negative biases is the result of hidden units being responsible for both the sparsity and the representation of the input data. It is shown that, as a result, the behavior of the model resembles clustering methods which would require exponentially large number of features to model intrinsically high dimensional data. Based on this understanding, we propose a new activation function which decouples the roles of hidden layer and uses linear encoding. This allows to learn representations on data with very high intrinsic dimensionality. We also show that gating connections in the bi-linear models and the single layer models from articles one and two of this thesis can be thought of as a way to attain a linear encoding scheme which allows them to learn good representations on videos. Visual odometry is the task of inferring egomotion of a moving object from visual information such as images and videos. It can primarily be used for the task of localization and has many applications in the fields of robotics and navigation. The work in article four was motivated by the idea of using deep learning techniques, which are successful methods for many vision tasks, for visual odometry. The visual odometry task mainly requires inference of motion and depth information from visual input which can then be mapped to velocity and change in direction. We use relational feature models presented in the articles one and two for inferring a combined motion and depth representation from stereo video sequences. The combined representation is then mapped to discrete velocity and change in direction labels using convolutional neural networks. Our approach is an end-to-end deep learning-based architecture which uses a single type of computational model and learning rule. Preliminary results show that the architecture is capable of learning the mapping from input video to egomotion. Activity recognition is a challenging computer vision task with many real world applications. It is well know that it is a hard task to use computer vision research for real-time applications. In the fifth article of this thesis, we present a real-time activity recognition system based on deep learning based methods. Our approach uses energy based relational feature learning models for the computation of local motion features directly from videos. A bag-of-words over the local motion features is used for the analysis of activity in a given video sequence. We implement this system on a distributed computational platform and demonstrate its performance on the iCub robot. Using GPUs we demonstrate real time performance which makes the deployment of activity recognition systems in real world scenarios possible.
Geochemical investigations on biogenic carbonates are commonly conducted to reconstruct the environmental conditions of the past. However, different carbonate producers incorporate elements to varying degrees, due to biological vital effects. Detecting and quantifying these effects is crucial to produce reliable reconstructions. These paleoreconstructions are of great importance to evaluate the consequences of our recent climate change and identify control mechanisms on the distribution of endangered species such as Desmophyllum pertusum. In chapter three we tested Mg/Ca, Sr/Ca and Na/Ca ratios on this species, among other coldwater scleractinians, to test if they provide reliable proxy information. The results reveal no apparent control of Mg/Ca or Sr/Ca ratios through seawater temperature, salinity or pH. Na/Ca ratios appear to be partly controlled by the seawater temperature, which is also true for other aragonitic organisms such as warm-water corals and the bivalve Mytilus edulis. However, a large variability complicates possible reconstructions by means of Na/Ca. In addition, we explore different models to explain the apparent temperature effect on Na/Ca ratios based on temperature sensitive Na and Ca pumping enzymes.
The bivalve Acesta excavata is commonly found in cold-water coral reefs among the North Atlantic, together with D. pertusum. Multiple linear regression analysis, presented in chapter four, indicates that up to 79% of the elemental variability in Mg/Ca, Sr/Ca and Na/Ca is explainable with temperature and salinity as independent predictor variables. Vital effects, for instance growth rate effects, are evident and make paleoreconstructions not feasible. Furthermore, organic material embedded in the shell, as well as possible stress effects can drastically change the elemental composition. Removal of these organic matrices from bulk samples for LA-ICP-MS (laser ablation inductively coupled mass spectrometer) measurements by means of oxidative cleaning is not possible, but Na/Ca ratios decrease after this cleaning. This is presumably an effect of leaching and not caused by the removal of organic matrices.
Interesting biogeochemical relations were found in the parasitic foraminifera H. sarcophaga. We report Mg/Ca, Sr/Ca, Na/Ca and Mn/Ca ratios measured in H. sarcophaga from two different host species (A. excavata and D. pertusum) in chapter five. Sr/Ca ratios are significantly higher in foraminifera that lived on D. pertusum. This could indicate that dissolved host material is utilized in shell calcification of H. sarcophaga, given the naturally higher strontium concentration in the aragonite of D. pertusum. Mn/Ca ratios are highest in foraminifera that lived on A. excavata but did not fully penetrate the host’s shell. Most likely, this represents a juvenile stadium of the foraminifera during which it feeds on the organic
periostracum of the bivalve, which is enriched in Mn and Fe. The isotopic compositions are similarly affected, both δ18O and δ13C values are significantly lower in foraminifera that lived 23on D. pertusum compared to specimen that lived on A. excavata. Again, this might represent the uptake of dissolved host material or different pH regimes in the calcifying fluid of the hosts (bivalve < 8, coral > 8) that control the extent of hydration/hydroxylation reactions. Temperature reconstructions are possible using stable oxygen isotopes on this foraminifera species; however, the results are only reliable if the foraminifera lived on A. excavata. Samples of H. sarcophaga from D. pertusum would lead to overestimations of the seawater temperature due to the lower δ18O values.
Apart from biological vital effects, storage and preservation methods can significantly change the geochemical composition of different marine biogenic carbonates. In chapter six this is presented on the example of ethanol preservation, a common technique to allow extended storage of biogenic samples. The investigation reveals a significant decrease of Mg/Ca and Na/Ca ratios even after only 45 days storage in ultrapure ethanol. Sr/Ca ratios on the other hand are not influenced.
Besides temperature, salinity and pH further environmental parameters are important such as nutrient availability, especially for the distribution of cold-water corals. In chapter seven we extend the investigations on A. excavata by including the elemental ratios Ba/Ca, Mn/Ca and P/Ca. We expected P/Ca to be helpful in the otherwise difficult process of dentifying growth increments. Based on our observations we had to refute this theory. P/Ca ratios are not systematically enriched in the vicinity of growth lines. Instead, we found a regular sequence of peaks of Ba/Ca, P/Ca and Mn/Ca. This sequence as well as the peaks in general are potentially caused by equential blooms of different algae, diatoms and other planktonic organisms ...
Ubiquitination is regarded as one of the key post-translational modifications in nearly all biological processes, endowed with numerous layers of complexity. Deubiquitinating enzymes (DUBs) dynamically counterbalance ubiquitination events by deconjugating ubiquitin signals from substrates. Dysregulation of the ubiquitin code and its negative regulators drive various pathologies, such as neurological disorders and cancer.
The DUB ubiquitin-specific peptidase 22 (USP22) is well-known for its essential role in the human Spt-Ada-Gcn5 acetyltransferase (SAGA) complex, mediating the removal of monoubiquitination events from Histone 2A and 2B (H2A and -B), thereby regulating gene transcription. In cancer, USP22 was initially described as a part of an 11-gene expression signature profile, predicting tumor metastasis, reoccurrence and death after therapy in a wide range of tumor cells. However, novel roles for USP22 have emerged recently, accrediting USP22 essential roles in regulating tumor development as well as apoptotic cell death signaling.
One of the hallmarks of cancer is the evasion of cell death, especially apoptosis, a form of programmed cell death (PCD). Necroptosis, a regulated form of necrosis, is regarded as an attractive therapeutic strategy to overcome apoptosis-resistance in tumor cells, although a profound understanding of the exact signaling cascade still remains elusive. Nevertheless, several ubiquitination and deubiquitination events are described in fine-tuning necroptotic signaling.
In this study, we describe a novel role for USP22 in regulating necroptotic cell death signaling in human tumor cell lines. USP22 depletion significantly delayed TNFa/Smac mimetic/zVAD.fmk (TBZ)-induced necroptosis, without affecting TNFa-induced nuclear factor-kappa B (NF-KB) signaling or TNFa-mediated extrinsic apoptosis. Intriguingly, re-expression of USP22 wildtype in the USP22 knockout background could re-sensitize HT-29 cells to TBZ-induced necroptosis, whereas re-constitution with the catalytic inactive mutant USP22 Cys185Ser did not rescue susceptibility to TBZ-induced necroptosis, confirming the USP22 DUB-function a pivotal role in regulating necroptotic cell death. USP22 depletion facilitated ubiquitination and unexpectedly also phosphorylation of Receptor-interacting protein kinase 3 (RIPK3) during necroptosis induction, as shown by Tandem Ubiquitin Binding Entities (TUBE) pulldowns and in vivo (de)ubiquitination immunoprecipitations. To substantiate our findings, we performed mass-spectrometric ubiquitin remnant profiling and identified the three novel USP22-regulated RIPK3 ubiquitination sites Lysine (K) 42, K351 and K518 upon TBZ-induced necroptosis. Further assessment of these ubiquitination sites unraveled, that mutation of K518 in RIPK3 reduced necroptosis-associated RIPK3 ubiquitination and additionally affected RIPK3 phosphorylation upon necroptosis induction. At the same time, genetic knock-in of RIPK3 K518R sensitizes tumor cells to TNFa-induced necroptotic cell death and amplified necrosome formation.
In summary we identified USP22 as a new regulator of TBZ-induced necroptosis in various human tumor cell lines and further unraveled the distinctive role of DUBs and (de)ubiquitination events in controlling programmed cell death signaling.
Ultrafast protein dynamics are of great interest for understanding the molecular basis of biochemical function. One method to study structural changes with highest time-resolution starting in the femtosecond regime is 2D-IR spectroscopy. However its application to investigate protein dynamics both with high temporal and spatial resolution is currently limited to few biological systems with intrinsic chromophores. Spectral congestion, the contribution of many similar oscillators to the same signals, makes it difficult to draw conclusions about local structural dynamics in most other proteins.
The aim of this thesis is to extend the application of 2D-IR spectroscopy to a wider range of proteins by introducing unnatural amino acids (UAAs) with azide or nitrile groups as site-specific vibrational probes, which absorb in the free spectral window between 1800 to 3000 cm-1 by using methods from chemical biology.
In a comparative experimental study using FTIR and 2D-IR spectroscopy of single amino acids azidohomoalanine (Aha), a methionine analogue, was identified as preferred label. To demonstrate the application potential of UAAs as site-specific probes, Aha was then incorporated into different positions in a small globular protein. By using both FTIR and ultrafast 2D-IR it was shown, that indeed the local microenvironment as well as conformational fluctuations on picosecond timescale could be monitored with high spatial information. The azide moiety shows a shift of its absorption frequency depending on the polarity of its surrounding. Using this approach, different subensembles for the protein conformations with more polar and less polar environment around the vibrational probe can be distinguished.
A second major application of site-specific labels is the study of vibrational energy transfer processes (VET), predicted to be relevant for allosteric communication in protein domains such as the PDZ domain. VET can be tracked with high spatial resolution using time-resolved IR spectroscopy by exciting a localized vibrational mode and probing separate modes in a two-colour 2D-IR experiment. To extend this kind of experiment to proteins, a specific donor-acceptor pair of two UAAs was introduced. It uses an azulene moiety as donor that can be excited in the visible range but deposits the excess energy by internal conversion into the vibrational modes of the ground state. In small peptides this VET pair was applied successfully, showing a distance-dependent energy transfer induced signal for VET through covalent bonds. These findings bare great promise for the direct observation of vibrational energy flow in proteins in real-time.
Overall this thesis is the basis for extending the usability of 2D-IR spectroscopy to study structural dynamics in a wide range of proteins systems both with high temporal and spatial resolution.
Die Emergenz digitaler Netzwerke ist auf die ständige Entwicklung und Transformation neuer Informationstechnologien zurückzuführen.
Dieser Strukturwandel führt zu äußerst komplexen Systemen in vielen verschiedenen Lebensbereichen.
Es besteht daher verstärkt die Notwendigkeit, die zugrunde liegenden wesentlichen Eigenschaften von realen Netzwerken zu untersuchen und zu verstehen.
In diesem Zusammenhang wird die Netzwerkanalyse als Mittel für die Untersuchung von Netzwerken herangezogen und stellt beobachtete Strukturen mithilfe mathematischer Modelle dar.
Hierbei, werden in der Regel parametrisierbare Zufallsgraphen verwendet, um eine systematische experimentelle Evaluation von Algorithmen und Datenstrukturen zu ermöglichen.
Angesichts der zunehmenden Menge an Informationen, sind viele Aspekte der Netzwerkanalyse datengesteuert und zur Interpretation auf effiziente Algorithmen angewiesen.
Algorithmische Lösungen müssen daher sowohl die strukturellen Eigenschaften der Eingabe als auch die Besonderheiten der zugrunde liegenden Maschinen, die sie ausführen, sorgfältig berücksichtigen.
Die Generierung und Analyse massiver Netzwerke ist dementsprechend eine anspruchsvolle Aufgabe für sich.
Die vorliegende Arbeit bietet daher algorithmische Lösungen für die Generierung und Analyse massiver Graphen.
Zu diesem Zweck entwickeln wir Algorithmen für das Generieren von Graphen mit vorgegebenen Knotengraden, die Berechnung von Zusammenhangskomponenten massiver Graphen und zertifizierende Grapherkennung für Instanzen, die die Größe des Hauptspeichers überschreiten.
Unsere Algorithmen und Implementierungen sind praktisch effizient für verschiedene Maschinenmodelle und bieten sequentielle, Shared-Memory parallele und/oder I/O-effiziente Lösungen.
Vibronic (vibrational-electronic) transition is one of the fundamental processes in molecular physics. Indeed, vibronic transition is essential both in radiative and nonradiative photophysical or photochemical properties of molecules such as absorption, emission, Raman scattering, circular dichroism, electron transfer, internal conversion, etc. A detailed understanding of these transitions in varying systems, especially for (large) biomolecules, is thus of particular interest. Describing vibronic transitions in polyatomic systems with hundreds of atoms is, however, a difficult task due to the large number of coupled degrees of freedom. Even within the relatively crude harmonic approximation, such as for Born-Oppenheimer harmonic potential energy surfaces, the brute-force evaluation of Franck-Condon intensity profiles in a time-independent sum-over-states approach is prohibitive for complex systems owing to the vast number of multi-dimensional Franck-Condon integrals. The main goal of this thesis is to describe a variety of molecular vibronic transitions, with special focus on the development of approaches that are applicable to extended molecular systems. We use various representations of Fermi’s golden rule in frequency, time and phase spaces via coherent states to reduce the computational complexity. Although each representation has benefits and shortcomings in its evaluation, they complement each other. Peak assignment of a spectrum can be made directly after calculation in the frequency domain but this sum-over-states route is usually slow. In contrast, computation is considerably faster in the time domain with Fourier transformation but the peak assignment is not directly available. The representation in phase space does not immediately provide physically-meaningful quantities but it can link frequency and time domains. This has been applied to, herein, for example (non-Condon) absorption spectra of benzene and electron transfer of bacteriochlorophyll in the photosynthetic reaction center at finite temperature. This work is a significant step in the treatment of vibronic structure, allowing for the accurate and efficient treatment of complex systems, and provides a new analysis tool for molecular science.
Topological phases set themselves apart from other phases since they cannot be understood in terms of the usual Landau theory of phase transitions. This fact, which is a consequence of the property that topological phase transitions can occur without breaking symmetries, is reflected in the complicated form of topological order parameters. While the mathematical classification of phases through homotopy theory is known, an intuition for the relation between phase transitions and changes to the physical system is largely inhibited by the general complexity.
In this thesis we aim to get back some of this intuition by studying the properties of the Chern number (a topological order parameter) in two scenarios. First, we investigate the effect of electronic correlations on topological phases in the Green's function formalism. By developing a statistical method that averages over all possible solutions of the manybody problem, we extract general statements about the shape of the phase diagram and investigate the stability of topological phases with respect to interactions. In addition, we find that in many topological models the local approximation, which is part of many standard methods for solving the manybody lattice model, is able to produce qualitatively correct phase transitions at low to intermediate correlations.
We then extend the statistical method to study the effect of the lattice, where we evaluate possible applications of standard machine learning techniques against our information theoretical approach. We define a measure for the information about particular topological phases encoded in individual lattice parameters, which allows us to construct a qualitative phase diagram that gives a more intuitive understanding of the topological phase.
Finally, we discuss possible applications of our method that could facilitate the discovery of new materials with topological properties.
The compound class of the fabclavines was described as secondary or specialized metabolites (SM) for Xenorhabdus budapestensis and X. szentirmaii. Their corresponding structure was elucidated by NMR and further derivatives could be identified in both strains. Biochemically, fabclavines are hybrid SMs derived from two non-ribosomal-peptide-synthetases (NRPS), one type I polyketide-synthase (PKS) and polyunsaturated fatty acid (PUFA) synthases. In detail, a hexapeptide is connected via partially reduced polyketide units to an unsual polyamine. Structurally, they are related to the (pre-)zeamines, described for Serratia plymuthica and Dickeya zeae. Fabclavines exhibit a broad-spectrum bioactivity against a variety of different organisms like Grampositive and Gram-negative bacteria, fungi, protozoa but also against eukaryotic celllines.
In this work, the fabclavine biosynthesis was elucidated and assigned to two independently working assembly lines. The NRPS-PKS-pathway is initiated by the first NRPS FclI via generation of a tetrapeptide, which is elongated by the second NRPS FclJ, leading to a hexapeptide. Alternatively, FclJ can also act as direct start of the biosynthesis, resulting in the final formation of shortened fabclavine derivatives with a diinstead of a hexapeptide. In both cases, the peptide moiety is transferred to the iterative type I PKS FclK, leading to an elongation with partially reduced polyketide units. The resulting NRPS-PKS-intermediate is still enzyme-bound. The PUFA-homologues FclC, FclD and FclE in combination with FclF, FclG and FclH belong to the polyamine-forming pathway. Briefly, repeating decarboxylative Claisen thioester condensation reactions of acyl-coenzym A building blocks lead to the generation of an acyl chain in a PKS- or fatty acid biosynthesis-like manner. The corresponding β-keto-groups are either completely reduced or transaminated in a specific and repetitive way, resulting in the concatenation of so-called amine-units. The final β-keto-group is reduced to a hydroxy-group and the intermediate is reductively released by the thioester reductase FclG. A subsequent transamination step leads to the final polyamine. The NRPS-PKS- as well as the polyamine-pathway are connected by FclL. This condensation domain-like protein catalyzes the condensation of the polyamine with the NRPS-PKS-part, which results in the release of the final fabclavine. The results are described in detail in the first publication (first author).
Fabclavine biosynthesis gene cluster (BGC) are widely spread among the genus Xenorhabdus and Photorhabdus. In Xenorhabdus strains a high degree of conservation regarding the BGC synteny as well as the identity of single proteins can be observed. However, Photorhabdus strains harbor only the PUFA-homologues. While in Photorhabdus no product could be detected, our analysis revealed that the Xenorhabdus strains produce a large chemical diversity of different derivatives. Briefly, the general backbone of the fabclavines is conserved and only four chemical moieties are variable: The second and last amino acids of the NRPS-part, the number of incorporated polyketide units as well as the number of amine units in the polyamine. In combination with the elucidated biosynthesis, these variables could be assigned to single biosynthesis components as diversity mechanisms. Together with the 10 already described derivatives, a total of 32 derivatives could be detected. Interestingly, except for taxonomic closely related strains, all analyzed strains produce their own set of derivatives. Finally, we could confirm that the fabclavines are the major bioactive compound class in the analyzed strains under laboratory conditions. The results are described in detail in the second publication (first author).
Together with our collaboration partner Prof. Selcuk Hazir a potent bioactivity against Enterococcus faecalis, which is associated with endodontic infections, could be contributed to X. cabanillasii. Here, we could confirm that this bioactivity can be assigned to the fabclavines. The results are described in detail in the third publication(co-author).
Among the genus Xenorhabdus, X. bovienii represents an exception as its NRPS and PKS genes of the fabclavine BGC are missing or truncated, resulting in the exclusive production of polyamines. Furthermore, its PUFA-homologue FclC harbors an additional dehydratase (DH) domain. Upon extensive analysis a yet unknown deoxy-polyamine was identified and assigned to this additional domain. Finally, the DH domain was transferred into other polyamine pathways. Regardless of an in cis or in trans integration, the chimeric pathways produced deoxy-derivatives of its naturally occurring polyamines, suggesting that this represents another diversification mechanism. The results are described in detail in the attached manuscript (first author).
Proteins are biological macromolecules playing essential roles in all living organisms.
Proteins often bind with each other forming complexes to fulfill their function. Such protein complexes assemble along an ordered pathway. An assembled protein complex can often be divided into structural and functional modules. Knowing the order of assembly and the modules of a protein complex is important to understand biological processes and treat diseases related to misassembly.
Typical structures of the Protein Data Bank (PDB) contain two to three subunits and a few thousand atoms. Recent developments have led to large protein complexes being resolved. The increasing number and size of the protein complexes demand for computational assistance for the visualization and analysis. One such large protein complex is respiratory complex I accounting for 45 subunits in Homo sapiens.
Complex I is a well understood protein complex that served as case study to validate our methods.
Our aim was to analyze time-resolved Molecular Dynamics (MD) simulation data, identify modules of a protein complex and generate hypotheses for the assembly pathway of a protein complex. For that purpose, we abstracted the topology of protein complexes to Complex Graphs of the Protein Topology Graph Library (PTGL). The subunits are represented as vertices, and spatial contacts as edges. The edges are weighted with the number of contacts based on a distance threshold. This allowed us to apply graph-theoretic methods to visualize and analyze protein complexes.
We extended the implementations of two methods to achieve a computation of Complex Graphs in feasible runtimes. The first method skipped checks for contacts using the information which residues are sequential neighbors. We extended the method to protein complexes and structures containing ligands. The second method introduced spheres encompassing all atoms of a subunit and skipped the check for contacts if the corresponding spheres do not overlap. Both methods combined allowed skipping up to 93 % of the checks for contacts for sample complexes of 40 subunits compared to up to 10 % of the previous implementation. We showed that the runtime of the combined method scaled linearly with the number of atoms compared to a non-linear scaling of the previous implementation We implemented a third method fixing the assignment of an orientation to secondary structure elements. We placed a three-dimensional vector in each secondary structure element and computed the angle between secondary structure elements to assign an orientation. This method sped up the runtime especially for large structures, such as the capsid of human immunodeficiency virus, for which the runtime decreased from 43 to less than 9 hours.
The feasible runtimes allowed us to investigate two data sets of MD trajectories of respiratory complex I of Thermus thermophilus that we received. The data sets differ only by whether ubiquinone is bound to the complex. We implemented a pipeline, PTGLdynamics, to compute the contacts and Complex Graphs for all time steps of the trajectories. We investigated different methods to track changes of contacts during the simulation and created a heat map put onto the three-dimensional structure visualizing the changes. We also created line plots to visualize the changes of contacts over the course of the simulation. Both visualizations helped spotting outstandingly flexible or rigid regions of the structure or time points of the simulation in which major dynamics occur.
We introduced normalizations of the edge weights of Complex Graphs for identi-fying modules and predicting the assembly pathway. The idea is to normalize the number of contacts for the number of residues of a subunit. We defined five different normalizations.
To identify structural and functional modules, we applied the Leiden graph clustering algorithm to the Complex Graphs of respiratory complex I and the respiratory supercomplex. We examined the results for the different normalizations of the weights of the Complex Graphs. The absolute edge weight produced the best result identifying three of four modules that have been defined in the literature for respiratory complex I.
We applied agglomerative hierarchical clustering to the edges of a Complex Graph to create hypotheses of the assembly pathway. The rationale was that subunits with an extensive interface in the final structure assemble early. We tested our method against two existing methods on a data set of 21 proteins with reported assembly pathways. Our prediction outperformed the other methods and ran in feasible runtimes of a few minutes at most.
We also tested our method on respiratory complex I, the respiratory supercomplex and the respiratory megacomplex. We compared the results for the different normalizations with an assembly pathway of respiratory complex I described in the literature. We transformed the assembly pathways to dendrograms and compared the predictions to the reference using the Robinson-Foulds distance and clustering information distance. We analyzed the landscape of the clustering information distance by generating random dendrograms and showed that our result is far better than expected at random. We showed in a detailed analysis that the assembly prediction using one normalization was able to capture key features of the assembly pathway that has been proposed in the literature.
In conclusion, we presented different applications of graph theory to automatically analyze the topology of protein complexes. Our programs run in feasible runtimes even for large complexes. We showed that graph-theoretic modeling of the protein structure can be used to analyze MD simulation data, identify modules of protein complexes and predict assembly pathways.
Recently, carbonates have attracted a lot of attention, due to the recognition of their importance in the global carbon cycle. This was enabled by improvement of the experimental techniques that allow for investigating the stability, structure, and physical properties of materials and high-pressures and high-temperatures, that is, they allow for investigating minerals and geochemical processes at the conditions occurring deep inside Earth. Although a lot of research has been focused on carbonates, there are still some open questions regarding their structure and physical properties at such extreme conditions. The aim of this thesis is to establish a deeper understanding of the nature of the phase transitions in carbonates by studying how do the atoms building up the crystal structure vibrate, that is lattice dynamics. The methodology adapted in this study is a combination of experimental and computational methods which allows for a very thorough examination of the problem. The computational approach allows to determine parameters that are elusive or tedious to measure, and the experimental results provide a solid benchmark for the calculations. This tandem of methods has been widely used for investigating lattice dynamics of various materials. In this study it was used to elucidate the structure and properties of carbonates in the deep Earth conditions
My PhD work employed genetic and pharmacological manipulations, coupled with highresolution live imaging, to understand intercellular communications during zebrafish cardiovascular development. The heart is the first organ to form, and it is composed of several tissues, among which interactions are crucial. I identified two important interactions between muscular and non-muscular tissues in poorly characterized contexts, and the molecules required for the signalling. First, I discovered an important cellular and molecular crosstalk orchestrating the development of the cardiac outflow tract (i.e., the aortic root in mammals).
Endothelial-derived TGF-beta signalling controls the generation of the local extracellular matrix (ECM). The ECM in turn affects endothelial proliferation as well as smooth muscle cell organization (Boezio et al, 2020; Bensimon-Brito*, Boezio* et al, 2020). In my second project, I investigated the crosstalk between the epicardial layer and the myocardial wall. By generating epicardial-impairment models, I identified a novel role for the epicardium in regulating cardiomyocyte volume during heart development (Boezio et al, 2021). Ultimately, this research contributed to our understanding of how paracrine signalling controls the multicellular interactions integral to organogenesis.
In the human brain, the incoming light to the retina is transformed into meaningful representations that allow us to interact with the world. In a similar vein, the RGB pixel values are transformed by a deep neural network (DNN) into meaningful representations relevant to solving a computer vision task it was trained for. Therefore, in my research, I aim to reveal insights into the visual representations in the human visual cortex and DNNs solving vision tasks.
In the previous decade, DNNs have emerged as the state-of-the-art models for predicting neural responses in the human and monkey visual cortex. Research has shown that training on a task related to a brain region’s function leads to better predictivity than a randomly initialized network. Based on this observation, we proposed that we can use DNNs trained on different computer vision tasks to identify functional mapping of the human visual cortex.
To validate our proposed idea, we first investigate a brain region occipital place area (OPA) using DNNs trained on scene parsing task and scene classification task. From the previous investigations about OPA’s functions, we knew that it encodes navigational affordances that require spatial information about the scene. Therefore, we hypothesized that OPA’s representation should be closer to a scene parsing model than a scene classification model as the scene parsing task explicitly requires spatial information about the scene. Our results showed that scene parsing models had representation closer to OPA than scene classification models thus validating our approach.
We then selected multiple DNNs performing a wide range of computer vision tasks ranging from low-level tasks such as edge detection, 3D tasks such as surface normals, and semantic tasks such as semantic segmentation. We compared the representations of these DNNs with all the regions in the visual cortex, thus revealing the functional representations of different regions of the visual cortex. Our results highly converged with previous investigations of these brain regions validating the feasibility of the proposed approach in finding functional representations of the human brain. Our results also provided new insights into underinvestigated brain regions that can serve as starting hypotheses and promote further investigation into those brain regions.
We applied the same approach to find representational insights about the DNNs. A DNN usually consists of multiple layers with each layer performing a computation leading to the final layer that performs prediction for a given task. Training on different tasks could lead to very different representations. Therefore, we first investigate at which stage does the representation in DNNs trained on different tasks starts to differ. We further investigate if the DNNs trained on similar tasks lead to similar representations and on dissimilar tasks lead to more dissimilar representations. We selected the same set of DNNs used in the previous work that were trained on the Taskonomy dataset on a diverse range of 2D, 3D and semantic tasks. Then, given a DNN trained on a particular task, we compared the representation of multiple layers to corresponding layers in other DNNs. From this analysis, we aimed to reveal where in the network architecture task-specific representation is prominent. We found that task specificity increases as we go deeper into the DNN architecture and similar tasks start to cluster in groups. We found that the grouping we found using representational similarity was highly correlated with grouping based on transfer learning thus creating an interesting application of the approach to model selection in transfer learning.
During previous works, several new measures were introduced to compare DNN representations. So, we identified the commonalities in different measures and unified different measures into a single framework referred to as duality diagram similarity. This work opens up new possibilities for similarity measures to understand DNN representations. While demonstrating a much higher correlation with transfer learning than previous state-of-the-art measures we extend it to understanding layer-wise representations of models trained on the Imagenet and Places dataset using different tasks and demonstrate its applicability to layer selection for transfer learning.
In all the previous works, we used the task-specific DNN representations to understand the representations in the human visual cortex and other DNNs. We were able to interpret our findings in terms of computer vision tasks such as edge detection, semantic segmentation, depth estimation, etc. however we were not able to map the representations to human interpretable concepts. Therefore in our most recent work, we developed a new method that associates individual artificial neurons with human interpretable concepts.
Overall, the works in this thesis revealed new insights into the representation of the visual cortex and DNNs...
The heart is the first functional organ that develops in the embryo. To become a functional organ, it undergoes several morphogenetic processes. These morphogenetic events involve different cell types, that interact with each other and respond to the surrounding extracellular matrix, as well as intrinsic and extrinsic mechanical forces, assuming different behaviors. Additionally, transcription factor networks, conserved among vertebrates, control the development.
To have a better understanding of cell behavior during development, it is necessary to find a model system that allows the investigation in vivo and at single-cell resolution. Thanks to the common evolutionary origin of the different cardiac structures, together with the conserved molecular pathways, the two-chambered zebrafish heart offers many advantages to study cell behavior during cardiac morphogenesis. Here, using the zebrafish heart as a model system, I uncovered the cell behavior behind two of the main cardiac morphogenetic events: cardiac wall maturation and cardiac valve formation.
In the first part of this study, I investigated how the cardiac wall is maintained at the molecular level. Using genetic, transcriptomic, and chimeric analyses in zebrafish, we find that Snai1b is required for myocardial wall integrity. Global loss of snai1b leads to the extrusion of CMs away from the cardiac lumen, a process we show is dependent on cardiac contractility. Examining CM junctions in snai1b mutants, we observed that N-cadherin localization was compromised, thereby likely weakening cell-cell adhesion. In addition, extruding CMs exhibit increased actomyosin contractility basally, as revealed by the specific enrichment of canonical markers of actomyosin tension - phosphorylated myosin light chain (active myosin) and the α-catenin epitope α-18. By comparing the transcriptome of wild-type and snai1b mutant hearts at the early stages of CM extrusion, we found the dysregulation of intermediate filament genes in mutants including the upregulation of desmin b. We tested the role of desmin b in myocardial wall integrity and found that CM-specific desmin b overexpression led to CM extrusion, recapitulating the snai1b mutant phenotype. Altogether, these results indicate that Snai1 is a critical regulator of intermediate filament gene expression in CMs and that it maintains the integrity of the myocardial epithelium during embryogenesis, at least in part by repressing desmin b expression.
In the second part of this study, I focused on the behavior of valve cells during cardiac development. Using the zebrafish atrioventricular valve, I focus on the valve interstitial cells which confer biomechanical strength to the cardiac valve leaflets. We find that initially AV endocardial cells migrate collectively into the cardiac jelly to form a bilayered structure; subsequently, the cells that led this migration invade the extracellular matrix (ECM) between the two EC monolayers, undergo an endothelial-to-mesenchymal transition as marked by loss of intercellular adhesion, and differentiate into VICs. These cells proliferate and are joined by a few neural crest-derived cells. VIC expansion and a switch from a pro-migratory to an elastic ECM drive valve leaflet elongation. Functional analysis of Nfatc1 reveals its requirement during VIC development. Zebrafish nfatc1 mutants form significantly fewer VICs due to reduced proliferation and impaired recruitment of endocardial and neural crest cells during the early stages of VIC development. Analysis of downstream effectors reveals that Nfatc1 promotes the expression of twist1b, a well-known regulator of epithelial-to-mesenchymal transition. This study shows for the first time that Nfatc1 regulates zebrafish VICs formation regulating valve EMT in part by regulating twist1b expression. Moreover, it proposes the zebrafish valve as an excellent model to study the cellular and molecular process that regulate VIC development and dysfunction.
In conclusion, my work: 1) identified an unsuspected role of Snai1 in maintaining the integrity of the myocardial epithelium, opening new avenues in its role in regulating cellular contractility; 2) uncovered the function of Nfatc1 in the establishment of the VIC, establishing a new model to study valve development and function.
Anthropogenic interventions have altered all ecosystems around the world. One of those ecosystems are forests, the main resource for timber. They have been strongly transformed in their structure with large consequences on forest biodiversity. Especially the decrease in dead-wood volume due to the timber extraction and alternation of natural forest structures with even-aged stands of less diverse tree species composition has put especially saproxylic, i.e., dead-wood dependent species, under threat, which comprise about 20% of all forest species. Beetles, fungi and bacteria are three functional important groups for decomposition processes but we still lack much information about their sampling and the drivers of their diversity, thus it is difficult to comprehensively protect their diversity. Saproxylic fungi are a highly diverse species group and the main drivers of dead-wood decomposition; hence they play a major role in the global carbon cycle. Due to their cryptic lifestyle, many species are still unknown, but the recent advances in environmental DNA barcoding methods (metabarcoding) shed light on the formerly underestimated diversity. Yet, this method's accuracy and suitability in detecting specific species have not been assessed so far, limiting its current usefulness for species conservation. On the other hand, these methods are a convenient tool to study highly diverse areas with high numbers of unknown species, enabling the study of global diversity and its drivers, which are unknown for saproxylic fungi, but important to assess to predict the future impacts of global change. Since nature conservation concepts are usually not applied on a global scale, the drivers of diversity must also be assessed on smaller scales. Besides understanding the drivers of diversity, to identify focus scales to create comprehensive, evidence-based conservation concepts must utilize multi-taxonomic studies since saproxylic species are differently sensitive towards environmental variables and closely interact with each other. Filling these knowledge gaps is utterly needed to protect the high saproxylic diversity and ensure the functional continuity of decomposition processes, especially regarding the global change.
To address the usefulness of metabarcoding for fungal species conservation, I compared the traditional method of fruit body sampling with metabarcoding and their efficiency in detecting threatened fungal species in the first chapter of this thesis. Both methods have advantages and disadvantages. Their ability to detect threatened saproxylic fungal species and their dependencies on detecting specific fungal groups have not been compared, albeit they are important to inform species conservation like Red Lists properly. I found metabarcoding to generally detect more threatened fungal species than fruit body sampling with a higher frequency than fruit body sampling. Moreover, fruit body sampling detected a unique set of species, while fruit body sampling missed large parts of fungal diversity due to species-specific fruiting characteristics. Metabarcoding with high sampling intensity is thus a viable method to assess threatened saproxylic fungal diversity and inform nature conservation like Red Lists about distribution and abundances. Nevertheless, a complementary approach with fruit body sampling is indispensable for assessing all threatened fungal species.
In order to analyse the global diversity of saproxylic fungi and its drivers, I examined whether fungal species richness increases from the poles towards the equator and thus follows the latitudinal diversity gradient already found in many other species groups. I further investigated whether such an increase is caused by increasing ecological specialisation, i.e., niche partitioning, or local tree diversity, i.e., niche space. Gamma diversity per biome increased from the boreal, over the temperate to the tropics and thus confirmed the latitudinal diversity for saproxylic fungi. Contrastingly, alpha diversity at the log level did not significantly increase towards the tropics, suggesting a grain size dependency of the observed pattern and an equal niche space within dead-wood across latitudes. Ecological specialisation on the plot level was globally on a high level but did not increase significantly towards the equator. Additionally, I found local tree species richness to drive plot-based fungal diversity. Further analysis of gamma diversity against the total number of sampled tree species strengthened the assumption that tree species diversity and not increased ecological specialisation was the main driver of the latitudinal diversity gradient, as there was no significant difference between the gamma diversity of the temperate and tropical biome. Nonetheless, as the gamma diversity of the boreal biome was still significantly smaller, my results do not allow a complete neglection of the ecological specialisation hypothesis. The overall results indicate a strong dependency of saproxylic fungi diversity with host tree species diversity and that the global loss of tree species threatens saproxylic fungi with an unpredictable impact on carbon and nutrient cycling.
To support saproxylic conservation, I conducted two analyses. First, I compared the beta diversity of the three main decomposer groups (beetles, fungal fruit bodies, mycelial fungi (metabarcoding), and bacteria (metabarcoding)) across different scales to assess the impact of different environmental variables on their overall diversity. I used an experimental design to disentangle two different spatial scales, influenced by differences in macroclimate, forest microclimate and spatial distance, and two host scales, driven by differences between tree lineages and tree species. I set these beta diversities in relation to the gamma diversity of the three main decomposer groups to identify whether a unified conservation concept could be applied to one scale to optimally protect the diversity of all three species groups. Second, I identified whether diversity and community composition of fungi and bacteria differed among climate and land use gradients. Further I explored whether specialisation and niche packing could explain the expected pattern. To do so I used an experimental design disentangling climate and land use across a large gradient in Germany. The results differed among the species groups, denying a unified conservation concept focusing on one scale. Saproxylic beetle and fruit body beta diversity was equally high on each scale, as they are more sensitive towards environmental factors like macro- and microclimate. On the other hand, mycelial fungi and bacteria beta diversity was highest on the host scale, especially the host tree scale, indicating a high host specificity of the two groups. The second study also identified tree species as the main driver of diversity and community composition of these two study groups. Specialisation of fungi was not influenced by land use or climate. Bacterial specialisation and diversity were under a strong influence of mean precipitation. Comprehensive conservation of multi-taxonomic diversity across regions thus requires the integration of several scales. Within different macroclimatic regions, forests of varying microclimates, i.e., forest management, must be implemented. In these forests, dead-wood of different tree lineages, i.e., angio- and gymnosperms and tree species, must be provided.
Taken together, I could demonstrate that metabarcoding is an efficient method to sample threatened fungal species and identify differing drivers of fungal diversity present as fruit bodies or mycelium. Its usefulness will further increase due to the ongoing improvement of sequencing databases and thus better inform conservation concepts. Using metabarcoding, I could demonstrate that high host specialisation of saproxylic fungi is not a European but a global phenomenon and identify tree species loss under global change as one major concern for saproxylic diversity. My dissertation further highlighted the importance of multi-taxonomic studies for evidence-based nature conservation, as different species groups require varying concepts. These results were especially important for saproxylic bacteria as the drivers of their diversity are still largely unknown. Howbeit, large research gaps still exist regarding the impacts of global change on species and processes. Moreover, the spatial coverage of studies is needed to confirm or neglect the generality of current research especially concerning the highly diverse tropical areas. An increased focus on the drivers of diversity in these areas is crucial to ensure a globally comprehensive saproxylic conservation and the various ecosystem functions they control.