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Plant-derived Transcription Factors for Orthologous Regulation of Gene Expression in the Yeast Saccharomyces cerevisiae
Control of gene expression by transcription factors (TFs) is central in many synthetic biology projects where tailored expression of one or multiple genes is often needed. As TFs from evolutionary distant organisms are unlikely to affect gene expression in a host of choice, they represent excellent candidates for establishing orthogonal control systems. To establish orthogonal regulators for use in yeast (Saccharomyces cerevisiae), we chose TFs from the plant Arabidopsis thaliana. We established a library of 106 different combinations of chromosomally integrated TFs, activation domains (yeast GAL4 AD, herpes simplex virus VP64, and plant EDLL) and synthetic promoters harbouring cognate cis-regulatory motifs driving a yEGFP reporter. Transcriptional output of the different driver / reporter combinations varied over a wide spectrum, with EDLL being a considerably stronger transcription activation domain in yeast, than the GAL4 activation domain, in particular when fused to Arabidopsis NAC TFs. Notably, the strength of several NAC - EDLL fusions exceeded that of the strong yeast TDH3 promoter by 6- to 10-fold. We furthermore show that plant TFs can be used to build regulatory systems encoded by centromeric or episomal plasmids. Our library of TF – DNA-binding site combinations offers an excellent tool for diverse synthetic biology applications in yeast.
COMPASS: Rapid combinatorial optimization of biochemical pathways based on artificial transcription factors
We established a high-throughput cloning method, called COMPASS for COMbinatorial Pathway ASSembly, for the balanced expression of multiple genes in Saccharomyces cerevisiae. COMPASS employs orthogonal, plant-derived artificial transcription factors (ATFs) for controlling the expression of pathway genes, and homologous recombination-based cloning for the generation of thousands of individual DNA constructs in parallel. The method relies on a positive selection of correctly assembled pathway variants from both, in vivo and in vitro cloning procedures. To decrease the turnaround time in genomic engineering, we equipped COMPASS with multi-locus CRISPR/Cas9-mediated modification capacity. In its current realization, COMPASS allows combinatorial optimization of up to ten pathway genes, each transcriptionally controlled by nine different ATFs spanning a 10-fold difference in expression strength. The application of COMPASS was demonstrated by generating cell libraries producing beta-carotene and co-producing beta-ionone and biosensor-responsive naringenin. COMPASS will have many applications in other synthetic biology projects that require gene expression balancing.
CaPRedit: Genome editing using CRISPR-Cas9 and plant-derived transcriptional regulators for the redirection of flux through the FPP branch-point in yeast. Technologies developed over the past decade have made Saccharomyces cerevisiae a promising platform for production of different natural products. We developed CRISPR/Ca9- and plant derived regulator-mediated genome editing approach (CaPRedit) to greatly accelerate strain modification and to facilitate very low to very high expression of key enzymes using inducible regulators. CaPRedit can be implemented to enhance the production of yeast endogenous or heterologous metabolites in the yeast S. cerevisiae. The CaPRedit system aims to faciltiate modification of multiple targets within a complex metabolic pathway through providing new tools for increased expression of genes encoding rate-limiting enzymes, decreased expression of essential genes, and removed expression of competing pathways. This approach is based on CRISPR/Cas9-mediated one-step double-strand breaks to integrate modules containing IPTG-inducible plant-derived artificial transcription factor and promoter pair(s) in a desired locus or loci. Here, we used CaPRedit to redirect the yeast endogenous metabolic flux toward production of farnesyl diphosphate (FPP), a central precursor of nearly all yeast isoprenoid products, by overexpression of the enzymes lead to produce FPP from glutamate. We found significantly higher beta-carotene accumulation in the CaPRedit-mediated modified strain than in the wild type (WT) strain. More specifically, CaPRedit_FPP 1.0 strain was generated, in which three genes involved in FPP synthesis, tHMG1, ERG20, and GDH2, were inducibly overexpressed under the control of strong plant-derived ATFPs. The beta–carotene accumulated in CaPRedit_FPP 1.0 strain to a level 1.3-fold higher than the previously reported optimized strain that carries the same overexpressed genes (as well as additional genetic modifications to redirect yeast endogenous metabolism toward FPP production). Furthermore, the genetic modifications implemented in CaPRedit_FPP 1.0 strain resulted in only a very small growth defect (growth rate relative to the WT is ~ -0.03).
A biological trade-off situation denotes the dependence between traits whereby an increase in the value of one of the traits leads to a decrease in the value of at least one of the others. Understanding trade-offs in cellular systems is relevant to understanding the limits and constraints to tuning desired phenotypes. Therefore, it is mainly the case for rates (i.e. fluxes) of biochemical reactions that shape not only molecular traits, like metabolite concentrations but also determine physiological traits, like growth. Intracellular fluxes are the final phenotype from transcriptional and (post)translational regulation. Quantifying intracellular fluxes provides insights into cellular physiology under particular growth conditions and can be used to characterize the metabolic activity of different pathways. However, estimating fluxes from labelling experiments is labour-intensive; therefore, developing approaches to accurately and precisely predict intracellular fluxes is essential. This thesis addresses two main problems: (i) identifying flux trade-offs and (ii) predicting accurate and precise reaction flux at a genome-scale level. To this end, the concept of an absolute flux trade-off is defined, and a constraint-based approach, termed FluTO, was developed to identify absolute flux trade-offs. FluTO is cast as a mixed integer programming approach applied to genome-scale metabolic models of E. coli, S. cerevisiae, and A. thaliana, imposing realistic constraints on growth and nutrient uptake.. The findings showed that trade-offs are not only species-specific but also specific to carbon sources. In addition, we found that different models of a single species have a different number of reactions in trade-offs. We also showed that absolute flux trade-offs depend on the biomass reaction used to model the growth of A. thaliana under different carbon and nitrogen conditions. Findings reflect the strong relation between nitrogen, carbon, and sulphur metabolisms in the leaves of C3 plants. The concept of relative trade-offs was introduced to further study trade-offs in metabolic networks. A constraint-based approach, FluTOr, was proposed to identify reactions whose fluxes are in relative trade-off concerning an optimized fitness-related cellular task, like growth. FluTOr was employed to find the relative flux trade-offsin the genome-scale metabolic networks of E. coli, S. cerevisiae, and A. thaliana. The results showed that in contrast to the A. thaliana model, the relative trade-offs in the two microorganisms depend on the carbon source, reflecting the differences in the underlying metabolic network. Furthermore, applying FluTOr also showed that reactions that participated in relative trade-offs were implicated in cofactor biosynthesis in the two microorganisms. Prediction of reaction fluxes in the constraint-based metabolic framework is usually performed by parsimonious flux balance analysis (pFBA), employing the principle of efficient usage of protein resources. However, we argued that principles related to the coordination of flux values, neglected in previous studies, provide other means to predict intracellular fluxes. To this end, we designed a constraint-based approach, termed complex-balanced FBA (cbFBA), to predict steady-state flux distributions that maximize the number of balanced complexes in a flux distribution, whereby multi-reaction dependencies are maximized. The comparative analysis showed a better agreement of the flux distributions resulting from cbFBA compared to pFBA with experimentally measured fluxes from 17 E. coli strains and 26 S. cerevisiae knock-out mutants. The results also showed that the predictions from cbFBA are more precise than those from pFBA since cbFBA results in a smaller space of alternative solutions than pFBA.
Poly(A) Polymerase 1 (PAPS1) influences organ size and pathogen response in Arabidopsis thaliana
(2014)
Polyadenylation of pre-mRNAs is critical for efficient nuclear export, stability, and translation of the mature mRNAs, and thus for gene expression. The bulk of pre-mRNAs are processed by canonical nuclear poly(A) polymerase (PAPS). Both vertebrate and higher-plant genomes encode more than one isoform of this enzyme, and these are coexpressed in different tissues. However, in neither case is it known whether the isoforms fulfill different functions or polyadenylate distinct subsets of pre-mRNAs. This thesis shows that the three canonical nuclear PAPS isoforms in Arabidopsis are functionally specialized owing to their evolutionarily divergent C-terminal domains. A moderate loss-of-function mutant in PAPS1 leads to increase in floral organ size, whereas leaf size is reduced. A strong loss-of-function mutation causes a male gametophytic defect, whereas a weak allele leads to reduced leaf growth. By contrast, plants lacking both PAPS2 and PAPS4 function are viable with wild-type leaf growth. Polyadenylation of SMALL AUXIN UP RNA (SAUR) mRNAs depends specifically on PAPS1 function. The resulting reduction in SAUR activity in paps1 mutants contributes to their reduced leaf growth, providing a causal link between polyadenylation of specific pre-mRNAs by a particular PAPS isoform and plant growth. Additionally, opposite effects of PAPS1 on leaf and flower growth reflect the different identities of these organs. The overgrowth of paps1 mutant petals is due to increased recruitment of founder cells into early organ primordia whereas the reduced leaf size is due to an ectopic pathogen response. This constitutive immune response leads to increased resistance to the biotrophic oomycete Hyaloperonospora arabidopsidis and reflects activation of the salicylic acid-independent signalling pathway downstream of ENHANCED DISEASE SUSCEPTIBILITY1 (EDS1)/PHYTOALEXIN DEFICIENT4 (PAD4). Immune responses are accompanied by intracellular redox changes. Consistent with this, the redox-status of the chloroplast is altered in paps1-1 mutants. The molecular effects of the paps1-1 mutation were analysed using an RNA sequencing approach that distinguishes between long- and short tailed mRNA. The results shown here suggest the existence of an additional layer of regulation in plants and possibly vertebrate gene expression, whereby the relative activities of canonical nuclear PAPS isoforms control de novo synthesized poly(A) tail length and hence expression of specific subsets of mRNAs.
Due to continuously intensifying human usage of the marine environment worldwide ranging cetaceans face an increasing number of threats. Besides whaling, overfishing and by-catch, new technical developments increase the water and noise pollution, which can negatively affect marine species. Cetaceans are especially prone to these influences, being at the top of the food chain and therefore accumulating toxins and contaminants. Furthermore, they are extremely noise sensitive due to their highly developed hearing sense and echolocation ability. As a result, several cetacean species were brought to extinction during the last century or are now classified as critically endangered. This work focuses on two odontocetes. It applies and compares different molecular methods for inference of population status and adaptation, with implications for conservation. The worldwide distributed sperm whale (Physeter macrocephalus) shows a matrilineal population structure with predominant male dispersal. A recently stranded group of male sperm whales provided a unique opportunity to investigate male grouping for the first time. Based on the mitochondrial control region, I was able to infer that male bachelor groups comprise multiple matrilines, hence derive from different social groups, and that they represent the genetic variability of the entire North Atlantic. The harbor porpoise (Phocoena phocoena) occurs only in the northern hemisphere. By being small and occurring mostly in coastal habitats it is especially prone to human disturbance. Since some subspecies and subpopulations are critically endangered, it is important to generate and provide genetic markers with high resolution to facilitate population assignment and subsequent protection measurements. Here, I provide the first harbour porpoise whole genome, in high quality and including a draft annotation. Using it for mapping ddRAD seq data, I identify genome wide SNPs and, together with a fragment of the mitochondrial control region, inferred the population structure of its North Atlantic distribution range. The Belt Sea harbors a distinct subpopulation oppose to the North Atlantic, with a transition zone in the Kattegat. Within the North Atlantic I could detect subtle genetic differentiation between western (Canada-Iceland) and eastern (North Sea) regions, with support for a German North Sea breading ground around the Isle of Sylt. Further, I was able to detect six outlier loci which show isolation by distance across the investigated sampling areas. In employing different markers, I could show that single maker systems as well as genome wide data can unravel new information about population affinities of odontocetes. Genome wide data can facilitate investigation of adaptations and evolutionary history of the species and its populations. Moreover, they facilitate population genetic investigations, providing a high resolution, and hence allowing for detection of subtle population structuring especially important for highly mobile cetaceans.
Nob1 (New Zealand obese 1) bezeichnet einen Adipositas-QTL auf Chr. 5 der Maus (LODBMI >3,3), der in einem Rückkreuzungsexperiment der Mausstämme NZO (adipös) und SJL (schlank) identifiziert wurde. Um Kandidatengene für Adipositas zu finden, wurden mehr als 300 Nob1-Transkripte mit Hilfe von Genexpressionsanalysen auf Unterschiede in stoffwechselrelevanten Geweben zwischen beiden Mausstämmen untersucht. Sieben Gene zeigten eine differentielle Expression: 2310045A20Rik, Tbc1d1, Ppp1cb, Mll5, Insig1, Abhd1 und Alox5ap. Die codierenden Bereiche dieser Gene wurden anschließend auf Sequenzunterschiede zwischen NZO und SJL untersucht. Nur im Gen Tbc1d1, das im Peak-Bereich des Nob1 lokalisiert ist, wurde eine SJL-spezifische Deletion von sieben Basen detektiert, die zu einer Leserasterverschiebung und einem vorzeitigen Abbruch des Proteins in der funktionellen Rab-GAP-Domäne führt (Loss-of-Function-Mutation). Interessanterweise wurde eine Variante von TBC1D1 (R125W) in Kopplungsanalysen mit Adipositas beim Menschen assoziiert (Stone et al., 2006). TBC1D1 zeigt eine hohe Homologie zu TBC1D4 (AS160), das im Insulinsignalweg eine wichtige Rolle spielt. In 17 weiteren Genen im Peak-Bereich des Nob1 wurde keine weitere SJL-spezifischen Mutation detektiert. Bei NZO-Tieren erfolgte die Tbc1d1-mRNA-Expression vorwiegend in glycolytischen Fasern des Skelettmuskels. Zudem wurden zwei gewebsspezifisch exprimierte Tbc1d1-Isoformen identifiziert, die sich durch alternatives Splicen der Exone 12 und 13 unterscheiden. Die im Rahmen dieser Arbeit gefundenen Ergebnisse machen Tbc1d1 zu einem plausiblen Kandidatengen für den Nob1-QTL. Welche Funktion Tbc1d1 im Glucose- und Fettstoffwechsel des Skelettmuskels hat, muss in weiteren Analysen untersucht werden.
Gene expression describes the process of making functional gene products (e.g. proteins or special RNAs) from instructions encoded in the genetic information (e.g. DNA). This process is heavily regulated, allowing cells to produce the appropriate gene products necessary for cell survival, adapting production as necessary for different cell environments. Gene expression is subject to regulation at several levels, including transcription, mRNA degradation, translation and protein degradation. When intact, this system maintains cell homeostasis, keeping the cell alive and adaptable to different environments. Malfunction in the system can result in disease states and cell death. In this dissertation, we explore several aspects of gene expression control by analyzing data from biological experiments. Most of the work following uses a common mathematical model framework based on Markov chain models to test hypotheses, predict system dynamics or elucidate network topology. Our work lies in the intersection between mathematics and biology and showcases the power of statistical data analysis and math modeling for validation and discovery of biological phenomena.
Starch is a biopolymer for which, despite its simple composition, understanding the precise mechanism behind its formation and regulation has been challenging. Several approaches and bioanalytical tools can be used to expand the knowledge on the different parts involved in the starch metabolism. In this sense, a comprehensive analysis targeting two of the main groups of molecules involved in this process: proteins, as effectors/regulators of the starch metabolism, and maltodextrins as starch components and degradation products, was conducted in this research work using potato plants (Solanum tuberosum L. cv. Desiree) as model of study. On one side, proteins physically interacting to potato starch were isolated and analyzed through mass spectrometry and western blot for their identification. Alternatively, starch interacting proteins were explored in potato tubers from transgenic plants having antisense inhibition of starch-related enzymes and on tubers stored under variable environmental conditions. Most of the proteins recovered from the starch granules corresponded to previously described proteins having a specific role in the starch metabolic pathway. Another set of proteins could be grouped as protease inhibitors, which were found weakly interacting to starch. Variations in the protein profile obtained after electrophoresis separation became clear when tubers were stored under different temperatures, indicating a differential expression of proteins in response to changing environmental conditions.
On the other side, since maltodextrin metabolism is thought to be involved in both starch initiation and degradation, soluble maltooligosaccharide content in potato tubers was analyzed in this work under diverse experimental variables. For this, tuber disc samples from wild type and transgenic lines strongly repressing either the plastidial or cytosolic form of the -glucan phosphorylase and phosphoglucomutase were incubated with glucose, glucose-6-phosphate, and glucose-1-phosphate solutions to evaluate the influence of such enzymes on the conversion of the carbon sources into soluble maltodextrins, in comparison to wild-type samples. Relative maltodextrin amounts analyzed through capillary electrophoresis equipped with laser-induced fluorescence (CE-LIF) revealed that tuber discs could immediately uptake glucose-1-phosphate and use it to produce maltooligosaccharides with a degree of polymerization of up to 30 (DP30), in contrast to transgenic tubers with strong repression of the plastidial glucan phosphorylase. The results obtained from the maltodextrin analysis support previous indications that a specific transporter for glucose-1-phosphate may exist in both the plant cells and the plastidial membranes, thereby allowing a glucose-6-phosphate independent transport. Furthermore, it confirms that the plastidial glucan phosphorylase is responsible for producing longer maltooligosaccharides in the plastids by catalyzing a glucan polymerization reaction when glucose-1-phosphate is available. All these findings contribute to a better understanding of the role of the plastidial glucan phosphorylase as a key enzyme directly involved in the synthesis and degradation of glucans and their implication on starch metabolism.
Understanding the interactions of predators and their prey and their responses to environmental changes is one of the striking features of ecological research. In this thesis, spring dynamics of phytoplankton and its consumers, zooplankton, were considered in dependence on the environmental conditions in a deep lake (Lake Constance) and a shallow marine water (mesocosms from Kiel Bight), using descriptive statistics, multiple regression models, and process-oriented dynamic simulation models. The development of the spring phytoplankton bloom, representing a dominant feature in the plankton dynamics in temperate and cold oceans and lakes, may depend on temperature, light, and mixing intensity, and the success of over-wintering phyto- and zooplankton. These factors are often correlated in the field. Unexpectedly, irradiance often dominated algal net growth rather than vertical mixing even in deep Lake Constance. Algal net losses from the euphotic layer to larger depth were induced by vertical mixing, but were compensated by the input from larger depth when algae were uniformly distributed over the water column. Dynamics of small, fast-growing algae were well predicted by abiotic variables, such as surface irradiance, vertical mixing intensity, and temperature. A simulation model additionally revealed that even in late winter, grazing may represent an important loss factor of phytoplankton during calm periods when losses due to mixing are small. The importance of losses by mixing and grazing changed rapidly as it depended on the variable mixing intensity. Higher temperature, lower global irradiance and enhanced mixing generated lower algal biomass and primary production in the dynamic simulation model. This suggests that potential consequences of climate change may partly counteract each other. The negative effect of higher temperatures on phytoplankton biomass was due to enhanced temperature-sensitive grazing losses. Comparing the results from deep Lake Constance to those of the shallow mesocosm experiments and simulations, confirmed the strong direct effect of light in contrast to temperature, and the importance of grazing already in early spring as soon as moderate algal biomasses developed. In Lake Constance, ciliates dominated the herbivorous zooplankton in spring. The start of ciliate net growth in spring was closely linked to that of edible algae, chlorophyll a and the vertical mixing intensity but independent of water temperature. The duration of ciliate dominance in spring was largely controlled by the highly variable onset of the phytoplankton bloom, and little by the less variable termination of the ciliate bloom by grazing of meta-zooplankton. During years with an extended spring bloom of algae and ciliates, they coexisted at relatively high biomasses over 15-30 generations, and internally forced species shifts were observed in both communities. Interception feeders alternated with filter feeders, and cryptomonads with non-cryptomonads in their relative importance. These dynamics were not captured by classical 1-predator-1-prey models which consistently predict pronounced predator-prey cycles or equilibria with either the predator or the prey dominating or suppressed. A multi-species predator-prey model with predator species differing in their food selectivity, and prey species in their edibility reproduced the observed patterns. Food-selectivity and edibility were related to the feeding and growth characteristics of the species, which represented ecological trade-offs. For example, the prey species with the highest edibility also had the highest maximum growth rate. Data and model revealed endogenous driven ongoing species alternations, which yielded a higher variability in species-specific biomasses than in total predator and prey biomass. This holds for a broad parameter space as long as the species differ functionally. A more sophisticated model approach enabled the simulation of a continuum of different functional types and adaptability of predator and prey communities to altered environmental conditions, and the maintenance of a rather low model complexity, i.e., low number of equations and free parameters. The community compositions were described by mean functional traits --- prey edibility and predator food-selectivity --- and their variances. The latter represent the functional diversity of the communities and thus, the potential for adaptation. Oscillations in the mean community trait values indicated species shifts. The community traits were related to growth and grazing characteristics representing similar trade-offs as in the multi-species model. The model reproduced the observed patterns, when nonlinear relationships between edibility and capacity, and edibility and food availability for the predator were chosen. A constant minimum amount of variance represented ongoing species invasions and thus, preserved a diversity which allows adaptation on a realistic time-span.
The metabolic state of an organism reflects the entire phenotype that is jointly affected by genetic and environmental changes. Due to the complexity of metabolism, system-level modelling approaches have become indispensable tools to obtain new insights into biological functions. In particular, simulation and analysis of metabolic networks using constraint-based modelling approaches have helped the analysis of metabolic fluxes. However, despite ongoing improvements in prediction of reaction flux through a system, approaches to directly predict metabolite concentrations from large-scale metabolic networks remain elusive. In this thesis, we present a computational approach for inferring concentration ranges from genome-scale metabolic models endowed with mass action kinetics. The findings specify a molecular mechanism underling facile control of concentration ranges for components in large-scale metabolic networks. Most importantly, an extended version of the approach can be used to predict concentration ranges without knowledge of kinetic parameters, provided measurements of concentrations in a reference state. We show that the approach is applicable with large-scale kinetic and stoichiometric metabolic models of organisms from different kingdoms of life. By challenging the predictions of concentration ranges in the genome-scale metabolic network of Escherichia coli with real-world data sets, we further demonstrate the prediction power and limitations of the approach. To predict concentration ranges in other species, e.g. model plant species Arabidopsis thaliana, we would rely on estimates of kinetic parameters (i.e. enzyme catalytic rates) since plant-specific enzyme catalytic rates are poorly documented. Using the constraint-based approach of Davidi et al. for estimation of enzyme catalytic rates, we obtain values for 168 plant enzymes. The approach depends on quantitative proteomics data and flux estimates obtained from constraint-based model of plant leaf metabolism integrating maximal rates of selected enzymes, plant-specific constraints on fluxes through canonical pathways, and growth measurements from Arabidopsis thaliana rosette under ten conditions. We demonstrate a low degree of plant enzyme saturation, supported by the agreement between concentrations of nicotinamide adenine dinucleotide, adenosine triphosphate, and glyceraldehyde 3-phosphate, based on our maximal in vivo catalytic rates, and available quantitative metabolomics data. Hence, our results show genome-wide estimation for plant-specific enzyme catalytic rates is feasible. These can now be readily employed to study resource allocation, to predict enzyme and metabolite concentrations using recent constrained-based modelling approaches. Constraint-based methods do not directly account for kinetic mechanisms and corresponding parameters. Therefore, a number of workflows have already been proposed to approximate reaction kinetics and to parameterize genome-scale kinetic models. We present a systems biology strategy to build a fully parameterized large-scale model of Chlamydomonas reinhardtii accounting for microcompartmentalization in the chloroplast stroma. Eukaryotic algae comprise a microcompartment, the pyrenoid, essential for the carbon concentrating mechanism (CCM) that improves their photosynthetic performance. Since the experimental study of the effects of microcompartmentation on metabolic pathways is challenging, we employ our model to investigate compartmentation of fluxes through the Calvin-Benson cycle between pyrenoid and stroma. Our model predicts that ribulose-1,5-bisphosphate, the substrate of Rubisco, and 3-phosphoglycerate, its product, diffuse in and out of the pyrenoid. We also find that there is no major diffusional barrier to metabolic flux between the pyrenoid and stroma. Therefore, our computational approach represents a stepping stone towards understanding of microcompartmentalized CCM in other organisms. This thesis provides novel strategies to use genome-scale metabolic networks to predict and integrate metabolite concentrations. Therefore, the presented approaches represent an important step in broadening the applicability of large-scale metabolic models to a range of biotechnological and medical applications.
Actin-based directional motility is important for embryonic development, wound healing, immune responses, and development of tissues. Actin and myosin are essential players in this process that can be subdivided into protrusion, adhesion, and traction. Protrusion is the forward movement of the membrane at the leading edge of the cell. Adhesion is required to enable movement along a substrate, and traction finally leads to the forward movement of the entire cell body, including its organelles. While actin polymerization is the main driving force in cell protrusions, myosin motors lead to the contraction of the cell body. The goal of this work was to study the regulatory mechanisms of the motile machinery by selecting a representative key player for each stage of the signaling process: the regulation of Arp2/3 activity by WASP (actin system), the role of cGMP in myosin II assembly (myosin system), and the influence of phosphoinositide signaling (upstream receptor pathway). The model organism chosen for this work was the social ameba Dictyostelium discoideum, due to the well-established knowledge of its cytoskeletal machinery, the easy handling, and the high motility of its vegetative and starvation developed cells. First, I focused on the dynamics of the actin cytoskeleton by modulating the activity of one of its key players, the Arp2/3 complex. This was achieved using the carbazole derivative Wiskostatin, an inhibitor of the Arp2/3 activator WASP. Cells treated with Wiskostatin adopted a round shape, with no of few pseudopodia. With the help of a microfluidic cell squeezer device, I could show that Wiskostatin treated cells display a reduced mechanical stability, comparable to cells treated with the actin disrupting agent Latrunculin A. Furthermore, the WASP inhibited cells adhere stronger to a surface and show a reduced motility and chemotactic performance. However, the overall F-actin content in the cells was not changed. Confocal microscopy and TIRF microscopy imaging showed that the cells maintained an intact actin cortex. Localized dynamic patches of increased actin polymerization were observed that, however, did not lead to membrane deformation. This indicated that the mechanisms of actin-driven force generation were impaired in Wiskostatin treated cells. It is concluded that in these cells, an altered architecture of the cortical network leads to a reduced overall stiffness of the cell, which is insufficient to support the force generation required for membrane deformation and pseudopod formation. Second, the role of cGMP in myosin II dynamics was investigated. Cyclic GMP is known to regulate the association of myosin II with the cytoskeleton. In Dictyostelium, intracellular cGMP levels increase when cells are exposed to chemoattractants, but also in response to osmotic stress. To study the influence of cyclic GMP on actin and myosin II dynamics, I used the laser-induced photoactivation of a DMACM-caged-Br-cGMP to locally release cGMP inside the cell. My results show that cGMP directly activates the myosin II machinery, but is also able to induce an actin response independently of cAMP receptor activation and signaling. The actin response was observed in both vegetative and developed cells. Possible explanations include cGMP-induced actin polymerization through VASP (vasodilator-stimulated phosphoprotein) or through binding of cGMP to cyclic nucleotide-dependent kinases. Finally, I investigated the role of phosphoinositide signaling using the Polyphosphoinositide-Binding Peptide (PBP10) that binds preferentially to PIP2. Phosphoinositides can recruit actin-binding proteins to defined subcellular sites and alter their activity. Neutrophils, as well as developed Dictyostelium cells produce PIP3 in the plasma membrane at their leading edge in response to an external chemotactic gradient. Although not essential for chemotaxis, phosphoinositides are proposed to act as an internal compass in the cell. When treated with the peptide PBP10, cells became round, with fewer or no pseudopods. PH-CRAC translocation to the membrane still occurs, even at low cAMP stimuli, but cell motility (random and directional) was reduced. My data revealed that the decrease in the pool of available PIP2 in the cell is sufficient to impair cell motility, but enough PIP2 remains so that PIP3 is formed in response to chemoattractant stimuli. My data thus highlights how sensitive cell motility and morphology are to changes in the phosphoinositide signaling. In summary, I have analyzed representative regulatory mechanisms that govern key parts of the motile machinery and characterized their impact on cellular properties including mechanical stability, adhesion and chemotaxis.
The ubiquitin-proteasome-system (UPS) is a cellular cascade involving three enzymatic steps for protein ubiquitination to target them to the 26S proteasome for proteolytic degradation. Several components of the UPS have been shown to be central for regulation of defense responses during infections with phytopathogenic bacteria. Upon recognition of the pathogen, local defense is induced which also primes the plant to acquire systemic resistance (SAR) for enhanced immune responses upon challenging infections. Here, ubiquitinated proteins were shown to accumulate locally and systemically during infections with Psm and after treatment with the SAR-inducing metabolites salicylic acid (SA) and pipecolic acid (Pip). The role of the 26S proteasome in local defense has been described in several studies, but the potential role during SAR remains elusive and was therefore investigated in this project by characterizing the Arabidopsis proteasome mutants rpt2a-2 and rpn12a-1 during priming and infections with Pseudomonas. Bacterial replication assays reveal decreased basal and systemic immunity in both mutants which was verified on molecular level showing impaired activation of defense- and SAR-genes. rpt2a-2 and rpn12a-1 accumulate wild type like levels of camalexin but less SA. Endogenous SA treatment restores local PR gene expression but does not rescue the SAR-phenotype. An RNAseq experiment of Col-0 and rpt2a-2 reveal weak or absent induction of defense genes in the proteasome mutant during priming. Thus, a functional 26S proteasome was found to be required for induction of SAR while compensatory mechanisms can still be initiated.
E3-ubiquitin ligases conduct the last step of substrate ubiquitination and thereby convey specificity to proteasomal protein turnover. Using RNAseq, 11 E3-ligases were found to be differentially expressed during priming in Col-0 of which plant U-box 54 (PUB54) and ariadne 12 (ARI12) were further investigated to gain deeper understanding of their potential role during priming.
PUB54 was shown to be expressed during priming and /or triggering with virulent Pseudomonas. pub54 I and pub54-II mutants display local and systemic defense comparable to Col-0. The heavy-metal associated protein 35 (HMP35) was identified as potential substrate of PUB54 in yeast which was verified in vitro and in vivo. PUB54 was shown to be an active E3-ligase exhibiting auto-ubiquitination activity and performing ubiquitination of HMP35. Proteasomal turnover of HMP35 was observed indicating that PUB54 targets HMP35 for ubiquitination and subsequent proteasomal degradation. Furthermore, hmp35-I benefits from increased resistance in bacterial replication assays. Thus, HMP35 is potentially a negative regulator of defense which is targeted and ubiquitinated by PUB54 to regulate downstream defense signaling. ARI12 is transcriptionally activated during priming or triggering and hyperinduced during priming and triggering. Gene expression is not inducible by the defense related hormone salicylic acid (SA) and is dampened in npr1 and fmo1 mutants consequently depending on functional SA- and Pip-pathways, respectively. ARI12 accumulates systemically after priming with SA, Pip or Pseudomonas. ari12 mutants are not altered in resistance but stable overexpression leads to increased resistance in local and systemic tissue. During priming and triggering, unbalanced ARI12 levels (i.e. knock out or overexpression) leads to enhanced FMO1 activation indicating a role of ARI12 in Pip-mediated SAR. ARI12 was shown to be an active E3-ligase with auto-ubiquitination activity likely required for activation with an identified ubiquitination site at K474. Mass spectrometrically identified potential substrates were not verified by additional experiments yet but suggest involvement of ARI12 in regulation of ROS in turn regulating Pip-dependent SAR pathways.
Thus, data from this project provide strong indications about the involvement of the 26S proteasome in SAR and identified a central role of the two so far barely described E3-ubiquitin ligases PUB54 and ARI12 as novel components of plant defense.
Dietary antioxidants are believed to play an important role in the prevention and treatment of a variety of diseases associated with oxidative stress. Although there is a wide range of dietary antioxidants, the bulk of the research to date has been focused on the nutrient antioxidants vitamin C, E, and carotenoids. Certain relatively uncommon antioxidants such as lipoic acid (LA), and phenolic compounds such as (-)-epicatechin (EC), (-)-epigallocatechin (EGC), (-)-epicatechin gallate (ECG), and (-)-epigallocatechin gallate (EGCG), have not been extensively investigated although they may exert greater antioxidant potency than that of carotenoids and vitamins. Extracts from selected plants and plant byproducts may represent rich sources for one or more of such antioxidants and therefore exhibit higher effects than a single antioxidant due to the synergistic effects produced between such antioxidants. However, in the last decade a number of epidemiological, animal and in vitro studies have suggested a protective and therapeutic potency of these antioxidants in a broad range of diseases such as cancer, diabetes, atherosclerosis, cataract and acute and chronic neurological disorders. Inflammation, the response of the host toward any infection or injury, plays a central role in the development of many chronic diseases. Several evidences demonstrated the rise of different types of cancer from sites of inflammation. This suggests that active oxygen species and some cytokines generated in the inflamed tissues can cause injury to DNA and ultimately lead to carcinogenesis. Diethylnitrosamine (DEN) is one of the most important environmental carcinogens, present in a variety of foods, alcoholic beverages, tobacco smoke and it can be synthesized endogenously. In addition to the liver it can induce carcinogenesis in other organs like kidney, trachea, lung, esophagus, fore stomach, and nasal cavity. Several epidemiological and laboratory studies indicate that nitroso compounds including DEN may induce hyperplasia and chronic inflammation which is closely associated with the development of hepatocellular carcinoma. Despite increasing evidence on the potential of antioxidants in modulating the etiology of chronic diseases, little is known about their role in inflammation and acute phase response (APR). Therefore the aim of the present work was to study the protective effect of water and solvent extracts of eight plant and plant byproducts including green tea, artichoke, spinach, broccoli, onion and eggplant, orange and potato peels as well as eight antioxidants agents including EC, EGC, ECG, EGCG, ascorbic acid (AA), acetylcysteine (NAC), α-LA, and alpha-tocopherol (α-TOC) toward acute inflammation induced by interleukin-6 (IL-6) and hepatotoxicity induced by DEN in vitro. The negative acute phase proteins (APP), transthyretin (TTR) and retinol-binding protein (RBP) were used as inflammatory biomarkers analyzed by ELISA, whereas neutral red assay was used for evaluating the cytotoxicity. All experiments were performed in vitro using human hepatocarcinoma cell line (HepG2). Additionally the antioxidant activity was measured by TEAC and FRAP assays, phenolic content was measured by Folin–Ciocalteu and characterized by HPLC. Moreover, the microheterogeneity of TTR was detected using immunoprecipitation assay combined with SELDI-TOF MS. Results of present study showed that HepG2 cells provide a simple, sensitive in vitro system for studying the regulation of the negative APP, TTR and RBP under free and inflammatory condition. IL-6, a potent proinflammatory cytokine, in a concentration of 25 ng/ml was able to reduce TTR and RBP secretion by approximately 50-60% after 24h of incubation. With exception of broccoli and water extract of onion which showed pro-inflammatory effects in this study, all other plant extracts, at specific concentrations, were able to elevate TTR secretion in normal condition and even under treatment of IL-6 where the effect was quite lower. Green tea followed by artichoke and potato peel exhibited the highest elevation in TTR concentration which reached 1.1 and 2.5 folds of control in presence and absences of IL-6 respectively. In general Plant extracts were ordered according their anti-inflammatory potency as following: in water extracts; green tea > artichoke > potato peel > orange peel > spinach > eggplant peel, where in solvent extracts; green tea > artichoke > potato peel > spinach > eggplant peel > onion > orange peel. The antiinflammatory effect of water extracts of green tea, artichoke and orange peel were significantly higher than their corresponding solvent extracts whereas water extracts of eggplant-, potato peels and spinach showed lower effect than their solvent extracts. On the other hand α-LA followed by EGCG and ECG exhibited the highest elevation in TTR concentration compared to other antioxidants. The relation between the anti-inflammatory potential and antioxidants activity and phenolic content for the investigated substances was generally weak. This may suggest the involvement of other mechanisms than antioxidants properties for the observed effect. TTR secreted by HepG2 cells has a molecular structure quite similar to the purified standard and serum TTR in which all the three main variants are contained including native, S-cystinylated and Sglutathionylated TTR. Interestingly, a variant with molecular mass of 13453.8 + 8.3 Da has been detected only in TTR secreted by HepG2. Among all investigated antioxidants and plant extracts, six substances were able to elevate the native preferable TTR variant. The potency of these substances can be ordered as following α-LA > NAC > onion > AA > EGCG > green tea. A weak correlation between elevation on TTR and shifting to the native form was observed. Similar weak correlation has also been observed between antioxidants activity and elevation in native TTR. Although DEN was able to induce cell death in a concentration dependent manner, it requires considerably higher concentrations for its effects especially after 24h. This may be attributed to a lack in cytochrome P450 enzymes produced by HepG2. At selected concentrations some antioxidants and plant extracts significantly attenuate DEN cytotoxicity as following: spinach > α-LA > artichoke > orange peel > eggplant peel > α-TOC > onion > AA. Contrary all other substances especially green tea, broccoli, potato peel, and ECG stimulate DEN toxicity. In conclusion, this study demonstrated that selected antioxidants and plant extracts may attenuate the inflammatory process, not only by their antioxidants potency but also by other mechanisms which remain unclear. They may also play a vital role on stabilizing the tetramic structure of TTR and thereby prevent amyloidosis diseases. Lipoic acid represents in this study unique function against inflammation and hepatotoxicity. Despite the protective effect demonstrated by investigated substances, attention should also be given to the pro-oxidant and potential cytotoxic effects produced at higher concentrations.
Enterolignans (enterodiol and enterolactone) exhibit structural similarity to estradiol and have therefore been hypothesized to modulate hormone related cancers such as breast cancer. The bioactivation of the plant lignan secoisolariciresinol diglucoside (SDG) requires the transformation by intestinal bacteria including the deglycosylation of SDG to secoisolariciresinol (SECO) followed by demethylation and dehydroxylation of SECO to enterodiol (ED). Finally, ED is dehydrogenated to enterolactone (EL). It is unclear whether the bacterial activation of SDG to ED and EL is crucial for the cancer preventing effects of dietary lignans. The possible protective effect of bacterial lignan transformation on a 7,12 dimethylbenz(a)anthracene (DMBA)-induced breast cancer in gnotobiotic rats was investigated. Germ-free rats were associated with a defined lignan-converting consortium (Clostridium saccharogumia, Blautia producta, Eggerthella lenta, and Lactonifactor longoviformis). The rats colonized with lignan-converting bacteria consortium (LCC) were fed a lignan-rich flaxseed diet and breast cancer was chemical induced. Identically treated germ-free rats served as control. All bacteria of the consortium successfully colonized the intestine of the LCC rats. The plant lignan SDG was converted into the enterolignans ED and EL in the LCC rats but not in the germ-free rats. This transformation did not influence cancer incidence but significantly decreased tumor numbers per tumor-bearing rat, and tumor size. Cell proliferation was significantly inhibited and apoptosis was significantly induced in LCC rats. No differences between LCC and control rats were observed in the expression of the genes encoding the estrogen receptors (ERα and ERβ) and G-coupled protein receptor 30 (GPR30). Similar findings were observed for both insulin-like growth factor 1 (IGF-1) and epidermal growth factor receptor (EGFR) genes involved in tumor growth. Proteome analysis revealed that 24 proteins were differentially expressed in tumor tissue from LCC and germ-free. RanBP-type and C3HC4-type zinc finger-containing protein 1 (RBCK1) and poly(rC)-binding protein 1 (PBCP1) were down-regulated by 3.2- and 2.0-fold, respectively. These proteins are associated with cell proliferation. The activity of selected enzymes involved in the degradation of oxidants in plasma and liver was significantly increased in the LCC rats. However, plasma and liver concentrations of reduced glutathione (non-enzymatic antioxidant) and malondialdehyde (oxidative stress marker) did not differ between the groups. In conclusion, the bacterial conversion of plant lignan to enterolignans beneficially influences their anti-cancer effect. However, the mechanisms involved in these effects remain elusive.
Life on Earth is diverse and ranges from unicellular organisms to multicellular creatures like humans. Although there are theories about how these organisms might have evolved, we understand little about how ‘life’ started from molecules. Bottom-up synthetic biology aims to create minimal cells by combining different modules, such as compartmentalization, growth, division, and cellular communication.
All living cells have a membrane that separates them from the surrounding aqueous medium and helps to protect them. In addition, all eukaryotic cells have organelles that are enclosed by intracellular membranes. Each cellular membrane is primarily made of a lipid bilayer with membrane proteins. Lipids are amphiphilic molecules that assemble into molecular bilayers consisting of two leaflets. The hydrophobic chains of the lipids in the two leaflets face each other, and their hydrophilic headgroups face the aqueous surroundings. Giant unilamellar vesicles (GUVs) are model membrane systems that form large compartments with a size of many micrometers and enclosed by a single lipid bilayer. The size of GUVs is comparable to the size of cells, making them good membrane models which can be studied using an optical microscope. However, after the initial preparation, GUV membranes lack membrane proteins which have to be reconstituted into these membranes by subsequent preparation steps. Depending on the protein, it can be either attached via anchor lipids to one of the membrane leaflets or inserted into the lipid bilayer via its transmembrane domains.
The first step is to prepare the GUVs and then expose them to an exterior solution with proteins. Various protocols have been developed for the initial preparation of GUVs. For the second step, the GUVs can be exposed to a bulk solution of protein or can be trapped in a microfluidic device and then supplied with the protein solution. To minimize the amount of solution and for more precise measurements, I have designed a microfluidic device that has a main channel, and several dead-end side channels that are perpendicular to the main channel. The GUVs are trapped in the dead-end channels. This design exchanges the solution around the GUVs via diffusion from the main channel, thus shielding the GUVs from the flow within the main channel. This device has a small volume of just 2.5 μL, can be used without a pump and can be combined with a confocal microscope, enabling uninterrupted imaging of the GUVs during the experiments. I used this device for most of the experiments on GUVs that are discussed in this thesis.
In the first project of the thesis, a lipid mixture doped with an anchor lipid was used that can bind to a histidine chain (referred to as His-tag(ged) or 6H) via the metal cation Ni2+. This method is widely used for the biofunctionalization of GUVs by attaching proteins without a transmembrane domain. Fluorescently labeled His-tags which are bound to a membrane can be observed in a confocal microscope. Using the same lipid mixture, I prepared the GUVs with different protocols and investigated the membrane composition of the resulting GUVs by evaluating the amount of fluorescently labeled His-tagged molecules bound to their membranes. I used the microfluidic device described above to expose the outer leaflet of the vesicle to a constant concentration of the His-tagged molecules. Two fluorescent molecules with a His-tag were studied and compared: green fluorescent protein (6H-GFP) and fluorescein isothiocyanate (6H-FITC). Although the quantum yield in solution is similar for both molecules, the brightness of the membrane-bound 6H-GFP is higher than the brightness of the membrane-bound 6H-FITC. The observed difference in the brightness reveals that the fluorescence of the 6H-FITC is quenched by the anchor lipid via the Ni2+ ion. Furthermore, my measurements also showed that the fluorescence intensity of the membranebound His-tagged molecules depends on microenvironmental factors such as pH. For both 6H-GFP and 6H-FITC, the interaction with the membrane is quantified by evaluating the equilibrium dissociation constant. The membrane fluorescence is measured as a function of the fluorophores’ molar concentration. Theoretical analysis of these data leads to the equilibrium dissociation constants of (37.5 ± 7.5) nM for 6H-GFP and (18.5 ± 3.7) nM for 6H-FITC.
The anchor lipid mentioned previously used the metal cation Ni2+ to mediate the bond between the anchor lipid and the His-tag. The Ni2+ ion can be replaced by other transition metal ions. Studies have shown that Co3+ forms the strongest bonds with the His-tags attached to proteins. In these studies, strong oxidizing agents were used to oxidize the Co2+ mediated complex with the His-tagged protein to a Co3+ mediated complex. This procedure puts the proteins at risk of being oxidized as well. In this thesis, the vesicles were first prepared with anchor lipids without any metal cation. The Co3+ was added to these anchor lipids and finally the His-tagged protein was added to the GUVs to form the Co3+ mediated bond. This system was also established using the microfluidic device.
The different preparation procedures of GUVs usually lead to vesicles with a spherical morphology. On the other hand, many cell organelles have a more complex architecture with a non spherical topology. One fascinating example is provided by the endoplasmic reticulum (ER) which is made of a continuous membrane and extends throughout the cell in the form of tubes and sheets. The tubes are connected by three-way junctions and form a tubular network of irregular polygons. The formation and maintenance of these reticular networks requires membrane proteins that hydrolyize guanosine triphosphate (GTP). One of these membrane proteins is atlastin. In this thesis, I reconstituted the atlastin protein in GUV membranes using detergent-assisted reconstitution protocols to insert the proteins directly into lipid bilayers.
This thesis focuses on protein reconstitution by binding His-tagged proteins to anchor lipids and by detergent-assisted insertion of proteins with transmembrane domains. It also provides the design of a microfluidic device that can be used in various experiments, one example is the evaluation of the equilibrium dissociation constant for membrane-protein interactions. The results of this thesis will help other researchers to understand the protocols for preparing GUVs, to reconstitute proteins in GUVs, and to perform experiments using the microfluidic device. This knowledge should be beneficial for the long-term goal of combining the different modules of synthetic biology to make a minimal cell.
Das Superoxidradikal kann mit fast allen Bestandteilen von Zellen reagieren und diese schädigen. Die medizinische Forschung stellte eine Beteiligung des Radikals an Krebs, Herzinfarkten und neuraler Degeneration fest. Ein empfindlicher Superoxidnachweis ist daher zum besseren Verständnis von Krankheitsverläufen wichtig. Dabei stellen die geringen typischen Konzentrationen und seine kurze Lebensdauer große Anforderungen. Ziel dieser Arbeit war es zum einen, zwei neuartige Proteinarchitekturen auf Metallelektroden zu entwickeln und deren elektrochemisches Ansprechverhalten zu charakterisieren. Zum anderen waren diese Elektroden zur empfindlichen quantitativen Superoxiddetektion einzusetzen. Im ersten Teil der Arbeit wurde eine Protein-Multischichtelektrode aus Cytochrom c und dem Polyelektrolyten Poly(anilinsulfonsäure) nach dem Layer-by-layer-Verfahren aufgebaut. Für zwei bis 15 Schichten an Protein wurde eine deutliche Zunahme an elektrodenaktivem Cytochrom c mit jedem zusätzlichen Aufbringungsschritt nachgewiesen. Die Zunahme verlief linear und ergab bei 15 Schichten eine Zunahme der redoxaktiven Proteinmenge um deutlich mehr als eine Größenordnung. Während das formale Potential im Multischichtsystem sich im Vergleich zur Monoschichtelektrode nicht veränderte, wurde für die Kinetik eine Abhängigkeit der Geschwindigkeit des Elektronentransfers von der Zahl der Proteinschichten beobachtet. Mit zunehmender Scangeschwindigkeit trat ein reversibler Kontaktverlust zu den äußeren Schichten auf. Die lineare Zunahme an elektroaktivem Protein mit steigender Zahl an Depositionsschritten unterscheidet sich deutlich von in der Literatur beschriebenen Protein/Polyelektrolyt-Multischichtelektroden, bei denen ab etwa 6-8 Schichten keine Zunahme an elektroaktivem Protein mehr festgestelltwurde. Auch ist bei diesen die Zunahme an kontaktierbaren Proteinmolekülen auf das Zwei- bis Fünffache limitiert. Diese Unterschiede des neu vorgestellten Systems zu bisherigen Multischichtassemblaten erklärt sich aus einem in dieser Arbeit für derartige Systeme erstmals beschriebenen Elektronentransfermechanismus. Der Transport von Elektronen zwischen der Elektrodenoberfläche und den Proteinmolekülen in den Schichten verläuft über einen Protein-Protein-Elektronenaustausch. Dieser Mechanismus beruht auf dem schnellen Selbstaustausch von Cytochrom c-Molekülen und einer verbleibenden Rotationsflexibilität des Proteins im Multischichtsystem. Die Reduzierung des Proteins durch das Superoxidradikal und eine anschließende Reoxidation durch die Elektrode konnten nachgewiesen werden. In einem amperometrischen Messansatz wurde das durch Superoxidradikale hervorgerufene elektrochemische Signal in Abhängigkeit von der Zahl an Proteinschichten gemessen. Ein maximales Ansprechverhalten auf das Radikal wurde mit 6-Schichtelektroden erzielt. Die Empfindlichkeit der 6-Schichtelektroden wurde im Vergleich zum Literaturwert der Monoschichtelektrode um Faktor 14, also mehr als eine Größenordnung, verbessert. Somit konnte eine Elektrode mit 6 Schichten aus Cytochrom c und Poly(anilinsulfonsäure) als neuartiger Superoxidsensor mit einer 14-fachen Verbesserung der Empfindlichkeit im Vergleich zum bislang benutzten System entwickelt werden. Der zweite Teil dieser Arbeit beschreibt die Auswahl, Gewinnung und Charakterisierung von Mutanten des Proteins Cu,Zn-Superoxiddismutase zur elektrochemischen Quantifizierung von Superoxidradikalen. Monomere Mutanten des humanen dimeren Enzyms wurden entworfen, die durch Austausch von Aminosäuren ein oder zwei zusätzliche Cysteinreste besaßen, mit welchem sie direkt auf der Goldelektrodenoberfläche chemisorbieren sollten. 6 derartige Mutanten konnten in ausreichender Menge und Reinheit in aktiver Form gewonnen werden. Die Bindung der Superoxiddismutase-Mutanten an Goldoberflächen konnte durch Oberflächen-plasmonresonanz und Impedanzspektroskopie nachgewiesen werden. Alle Mutanten wiesen einen quasi-reversiblen Elektronentransfer zwischen SOD und Elektrode auf. Durch Untersuchung von kupferfreien SOD-Mutanten sowie des Wildtyps konnte nachgewiesen werden, das die Mutanten über die eingefügten Cysteinreste auf der Elektrode chemisorptiv gebunden wurden und der Elektronentransfer zwischen der Elektrode und dem Kupfer im aktiven Zentrum der SOD erfolgte. Die Superoxiddismutase katalysiert die Zersetzung von Superoxidmolekülen durch Oxidation und durch Reduktion der Radikale. Somit sind beide Teilreaktionen von analytischem Interesse. Zyklovoltammetrisch konnte sowohl die Oxidation als auch die Reduktion des Radikals durch die immobilisierten Superoxiddismutase-Mutanten nachgewiesen werden. In amperometrischen Messanordnungen konnten beide Teilreaktionen zur analytischen Quantifizierung von Superoxidradikalen genutzt werden. Im positiven Potentialfenster wurde die Empfindlichkeit um einen Faktor von etwa 10 gegenüber der Cytochrom c–Monoschichtelektrode verbessert.
Zur Ermittlung der Akzeptanz und ihres prädiktiven Wertes für den Verzehr von Lebensmitteln bzw. Getränken, sind Beliebtheitsprüfungen mit Konsumenten unter standardisierten Bedingungen im Sensoriklabor üblich. Die prädiktive Aussagekraft dieser Laboruntersuchungen wird jedoch durch folgende Aspekte eingeschränkt: (1) Der situative Kontext wird ausgeschaltet, d.h. die Verzehrssituation, in der ein Produkt üblicherweise konsumiert wird, ist im Labor bewusst eliminiert und das zu bewertende Produkt wird nicht in einer kompletten Mahlzeit dargeboten (2) Der Produktkontakt im Labor ist im Gegensatz zu der anhaltenden Konfrontation unter alltäglichen Bedingungen nur kurzfristig, was Langzeitaussagen bzw. Dauerpräferenzen nicht zuläßt; (3) Im Labortest ist die freie Auswahl auf eine geringe Anzahl angebotener Produkte beschränkt. In dieser Arbeit soll daher die Frage beantwortet werden, welchen prädiktiven Wert sensorische Beliebtheitsuntersuchungen im Labor für Lebensmittelakzeptanz und -verzehr unter Alltagssituationen haben. Dies wird für verschiedene Altersgruppen gezeigt, die frei in ihrer Entscheidungsfindung sind. Dazu gaben 56 Studenten (23,1±3,7 Jahre) und zwei Seniorengruppen, zum einen aus einer Begegnungsstätte (20 Probanden; 75,6±8,1 Jahre) und zum anderen aus dem betreuten Wohnen (14 Probanden; 76,1±12,5 Jahre), in einer ersten Laboruntersuchung Beliebtheitsbewertungen (Akzeptanz und Rangordnungsprüfung) zu 6 Erfrischungsgetränken ab. Anschließend folgte ein mindestens vierwöchiger Zeitraum, in denen die Probanden aus einem speziell für die Studie konzipierten Automaten Getränke in Einrichtungen der Gemeinschaftsverpflegung entnehmen konnten. Die Entnahme war via Chipkarte ad libitum möglich. Computergestützt wurden dabei individuelle Getränkewahl, Menge und Entnahmezeit aufgezeichnet. Unmittelbar nach der Automatenphase wurde eine erneute Laboruntersuchung durchgeführt. In allen Untersuchungsphasen wurden dieselben Erfrischungsgetränke aus Konzentrat, variiert in Apfel- oder Orangensaftgeschmack, ohne oder mit Zusatz von Zucker (20g/l) und Kohlensäure (4 g/l CO2), angeboten. Eine Quntitativ Deskriptive Analyse bestätigte unterschiedliche Profile bei den Produkten, so dass von sensorisch wahrnehmbaren Unterschieden zwischen den Produkten ausgegangen werden konnte. Die Probanden bekamen zu keiner Zeit Informationen über die exakte Zusammensetzung der Getränke. Sowohl in der Laborbewertung als auch nach Getränkekonsum via Automat, fanden sich unterschiede zwischen den Altersgruppen. In der Akzeptanzprüfung bewerteten Studenten die Apfelvarianten besser als die Orangenvarianten. Senioren, die insgesamt höhere Akzeptanzwerte vergaben, bewerteten alle Getränke in fast allen Attributen gleichermaßen gut. Nach der 4-wöchigen Automatenphase hatte sich die Akzeptanz der sechs Getränke nicht wesentlich geändert. Auch in beiden Rangordnungsprüfungen waren bei den Studenten „Apfel“ und „Apfel mit Kohlensäure“ auf den ersten Plätzen, „Orange mit Zuckerzusatz“ auf dem letzten Platz. Nach Adjustierung auf die individuelle Trinkmenge (in Wenig-, Mittel- Vieltrinker) und wurde „Apfel mit Kohlensäure“ in der Automatenphase von den Studenten am meisten getrunken. In der Vieltrinkergruppe wurde „Orange mit Zuckerzusatz“ deutlich vernachlässigt. Der Automatenkonsum der Studenten bestätigte damit im Wesentlichen die Ergebnisse der Beliebtheitsprüfung im Labor. Bei den Senioren waren in der Rangordnungsprüfung, die eine Lieblingsreihenfolge erzwang, alle süßeren Getränke (mit Zuckerzusatz) auf den ersten Plätzen. In der Automatenphase wurden jedoch viele Getränke ohne Zuckerzusatz bevorzugt. Dies zeigte sich sowohl in der individuellen Präferenz, als auch im Gesamtkonsum. Aufgrund der Ergebnisse kann der prädiktive Wert von Laboruntersuchungen mit Senioren in Bezug auf die Auswahl und den Konsum unter alltäglichen Bedingungen als gering beurteilt werden. Die Getränke mit der individuell höchsten Laborpräferenz wurden unter Alltagsumgebung in der Gemeinschaftsverpflegung in deutlich geringeren Umfang als erwartet verzehrt. In der Vergleichsgruppe der Studenten ist die Übereinstimmung größer(p<0,05). In Häufigkeitsfragebögen vor und nach der Automatenphase wurde das Trinkverhalten speziell von kohlensäurehaltigen Getränken erfragt. Der Anteil von kohlensäurehaltigen Getränken ist sehr variabel, und kann tagesabhängig von einem geringen bis zum Hauptanteil ausmachen. Senioren tranken von den Automatengetränken weniger kohlensäurehaltige Getränke als Studenten(p<0,001). Trotzdem zeigte nur eine Minderheit einen völligen Verzicht, wie sich durch Fragebogen und auch Automatenkonsum ermitteln ließ. Die Verwendung eines computergestützten Getränkeautomaten bietet eine neue Möglichkeit, die Langzeitpräferenz und den tatsächlichen Konsum unter gewohnten Alltagsbedingungen und bei freier Produktauswahl zu ermitteln. Selbst bei Altersgruppen, die mit Laboruntersuchungen überfordert sind, können Vorlieben untersucht werden.
Mouse aldehyde oxidases (mAOXs) have a homodimeric structure and belong to xanthine oxidase family of molybdo-flavoenzymes. In general, each dimer is characterized by three subdomains: a 20 kDa N-terminal 2x[2Fe2S] cluster containing domain, a 40 kDa central FAD-containing domain and an 85 kDa C-terminal molybdenum cofactor (Moco) containing domain. Aldehyde oxidases have a broad substrate specificity including the oxidation of different aldehydes and N-heterocyclic compounds. AOX enzymes are present in mainly all eukaryotes. Four different homologs of AOX were identified to be present with varying numbers among species and rodents like mice and rats contain the highest number of AOX isoenzymes. There are four identified homologs in mouse named mAOX1, mAOX3, mAOX2, and mAOX4. The AOX homologs in mice are expressed in a tissue-specific manner. Expression of mAOX1 and mAOX3 are almost superimposable and predominantly synthesized in liver, lung, and testis. The richest source of mAOX4 is the Harderian gland, which is found within the eye's orbit in tetrapods. Expression of mAOX2 is strictly restricted to the Bowman’s gland, the main secretory organ of the nasal mucosa.
In this study, the four catalytically active mAOX enzymes were expressed in a heterologous expression system in Escherichia coli and purified in a catalytically active form. Thirty different structurally related aromatic, aliphatic and N-heterocyclic compounds were used as substrates, and the kinetic parameters of all four mAOX enzymes were directly compared. The results showed that all enzymes can catalyze a broad range of substrates. Generally, no major differences between mAOX1, mAOX3 and mAOX2 were identified and the substrate specificity of mAOX1, mAOX3, and mAOX2 was broader compared to that of mAOX4 since mAOX4 showed no activity with substrates like methoxy-benzaldehydes, phenanthridine, N1-methyl-nicotinamide, and cinnamaldehyde and 4-(dimethylamino)cinnamaldehyde.
We investigated differences at the flavin site of the mAOX enzymes by measuring the ability of the four mAOX enzymes to oxidize NADH in the absence of oxygen. NADH was able to reduce only mAOX3. The four mouse AOXs are also characterized by quantitative differences in their ability to produce superoxide radicals. mAOX2 is the enzyme generating the largest rate of superoxide radicals of around 40% in relation to moles of substrate converted and it is followed by mAOX1 with a ratio of 30%.
To understand the factors that contribute to the substrate specificity of mAOX4, site-directed mutagenesis was applied to substitute amino acids in the substrate-binding funnel by the ones present in mAOX1, mAOX3, and mAOX2. The amino acids Val1016, Ile1018 and Met1088 were selected as targets. An increase in activity was obtained by the amino acid exchange M1088V in the active site identified to be specific for mAOX4, to the amino acid identified in mAOX3.