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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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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.
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.
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 ...
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.
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.
Ziel dieser Dissertation ist es, die Gleichgewichts- und Nichtgleichgewichts-Eigenschaften des stark wechselwirkenden QGP-Mediums nahe dem Phasenübergang unter extremen Bedingungen von hohen T und hohen Baryonendichten mit Hilfe der kinetischen Theorie im Rahmen von effektiven Modellen zu untersuchen. Wir werden zunächst die thermodynamischen und Transporteigenschaften des QGPs in der Nähe des Gleichgewichts auf der Basis des DQPM im Bereich moderater chemischer Baryonenpotentiale μB ≥ 0.5 GeV untersuchen. Insbesondere werden die EoS und die Schallgeschwindigkeit sowie die Transportkoeffizienten des QGP auf der Grundlage des DQPM bei endlichen T und μB berechnet. Transportkoeffizienten sind besonders interessant, da sie Informationen über die Wechselwirkungen im Medium erlauben, das im Gleichgewicht durch eine Temperatur T und ein chemisches Potential μB charakterisiert werden kann. Unter Berücksichtigung der Transportkoeffizienten und der EoS der QGP-Phase vergleichen wir unsere Ergebnisse mit verschiedenen Resultaten aus der Literatur, in denen Transportkoeffizienten des QGPs auf Basis von effektiven Modellen vorwiegend bei Null oder kleinem chemischen Potentialen untersucht wurden.
Darüber hinaus werden in Kapitel 3 die Gleichgewichtseigenschaften des QGPs und insbesondere die Auswirkungen der μB-Abhängigkeit der thermodynamischen und Transporteigenschaften des QGPs im Rahmen des erweiterten PHSD-Transportansatzes untersucht, der die vollständige Entwicklung des Systems einschließlich der partonischen Phase umfasst. Die Entwicklung des PHSD-Transportansatzes wird in der partonischen Phase erweitert, indem explizit die gesamt- und differentiellen partonischen Streuquerschnitte auf der Grundlage des DQPM berechnet und bei der tatsächlichen Temperatur T und dem baryonischen chemischen Potential μB in jeder einzelnen Raum-Zeit-Zelle, in der die partonische Streuung stattfindet, ausgewertet werden.
Um die Spuren der μB-Abhängigkeit des QGPs in den Observablen zu untersuchen, werden die Ergebnisse von PHSD5.0 (mit μB-Abhängigkeiten) mit den Ergebnissen von PHSD5.0 für μB = 0 sowie mit PHSD4.0, in dem die Massen/Breiten der Quarks und Gluonen sowie deren Wechselwirkungsquerschnitte nur von T abhängen, verglichen. Wir diskutieren die PHSD-Ergebnisse für verschiedene Observablen: (i) Rapiditäts- und pT -Verteilungen von identifizierten Hadronen für symmetrische Au+Au- und Pb+Pb- Kollisionen bei Energien von 30 AGeV (zukünftige NICA-Energie) sowie für die RHIC-Spitzenenergie von √sNN = 200 GeV; (ii) gerichteter Fluss v1 von identifizierten Hadronen für Au + Au bei invarianter Energie √sNN = 27 GeV und 200 GeV; (iii) elliptischer Fluss v2 der identifizierten Hadronen für Au+Au bei invarianten Energien √sNN = 27 und 200 GeV. Der Vergleich der "Bulk"-Observablen für Au+Au-Kollisionen innerhalb der drei PHSD-Einstellungen hat gezeigt, dass sie eine recht geringe Empfindlichkeit gegenüber den μB -Abhängigkeiten der Partoneigenschaften (Massen und Breiten) und ihrer Wechselwirkungsquerschnitte aufweisen, sodass die Ergebnisse von PHSD5.0 mit und ohne μB sehr nahe beieinander liegen. Nur im Fall von Kaonen, Antiprotonen ̄p und Antihyperonen ̄Λ + ̄Σ0 konnte ein kleiner Unterschied zwischen PHSD4.0 und PHSD5.0 bei den höchsten SPS- und RHIC-Energien festgestellt werden.
Wir finden nur geringe Unterschiede zwischen den Ergebnissen von PHSD4.0 und PHSD5.0 für die hier betrachteten hadronischen Observablen sowohl bei hohen als auch bei mittleren Energien. Dies hängt damit zusammen, dass bei hohen Energien, wo die Materie vom QGP dominiert wird, ein sehr kleines chemisches Baryonenpotential μB in zentralen Kollisionen bei mittlerer Rapidität gemessen wird, während mit abnehmender Energie und größerem μB der Anteil des QGPs rapide abnimmt, sodass die endgültigen Beobachtungswerte insgesamt von den Hadronen dominiert werden, die an der hadronischen Rückstreuung teilgenommen haben, und somit die Information über ihren QGP-Ursprung verwaschen oder verloren geht.
In Kapitel 4 betrachten wir die Transportkoeffizienten von QGP-Materie im erweiterten Polyakov-NJL-Modell entlang der Übergangslinie für moderate Werte des chemischen Baryonenpotenzials 0 ≤ μB ≤ 0.9 GeV sowie in der Nähe des kritischen Endpunkts(CEP) und bei großem chemischen Baryonenpotenzial μB = 1.2 GeV, wo ein Phasenübergang erster Ordnung stattfindet. Wir untersuchen, wie die Natur der Freiheitsgrade die Transporteigenschaften des QGPs beeinflusst. Darüber hinaus demonstrieren wir die Auswirkungen des Phasenübergangs erster Ordnung und des CEP auf die Transportkoeffizienten im dekonfinierten QCD-Medium.
Darüber hinaus wird in Kapitel 5 eine phänomenologische Erweiterung des DQPM auf große baryonchemische Potentiale μB einschließlich der Region mit einem möglichen CEP und späterem Phasenübergang erster Ordnung betrachtet. Eines der wichtigsten Merkmale des Modells ist das Auftreten einer ’kritischen‘ Skalierung in der Nähe des CEP. Das Hauptziel des vorgestellten Modells besteht darin, die mikroskopischen und makroskopischen Eigenschaften der partonischen Freiheitsgrade für den Bereich des Phasendiagramms bereitzustellen, der durch moderates T und moderates oder hohes μB gekennzeichnet ist.
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Die Bildung von Blutgefäßen ist essentiell für die Entwicklung und Homöostase von Wirbeltieren und die Endothelzellspezifikation ist ein wichtiger erster Schritt in diesem Prozess. Das früheste bekannte Ereignis bei der Endothelzellspezifikation im Zebrafisch ist die Expression des bHLH-PAS-Transkriptionsfaktor-Gens npas4l. Ich habe eine transgene V5-Linie zum Nachweis des markierten Npas4l auf Proteinebene und eine Gal4-VP16-Reporterlinie zur Visualisierung und Verfolgung von npas4l exprimierenden Zellen in vivo generiert. Beide Linien können bereits in frühen Entwicklungsstadien nachgewiesen werden und komplementieren auch starke npas4l-Mutanten Allele. Um npas4l Reporter exprimierende Zellen in npas4l Mutanten zu verfolgen, habe ich anschließend eine mutierte Variante der Gal4-Reporterlinie erzeugt. Diese Mutante trägt eine Insertion in der Region, die die DNA-Bindedomäne kodiert. Dadurch stört sie die Npas4l-Funktion, aber nicht die Reporterexpression. Dieses mutierte Reporterallel komplementiert nicht die npas4l-Mutanten und zeigt einen starken Phänotyp, was darauf hindeutet, dass es sich um ein funktionelles Nullallel handelt. Phänotypische Analysen zeigten, dass npas4l-Reporter positive Zellen in npas4l-Mutanten nicht spezifizieren oder zur Mittelachse wandern. Stattdessen tragen sie zu den vom intermediären Mesoderm abgeleiteten pronephrischen Tubuli und dem vom paraxialen Mesoderm abgeleiteten Skelettmuskel bei. Ich habe diese Phänotypen durch Einzelzell-RNAseq an den npas4l-Reporter positiven Zellen in npas4l+/- und npas4l-/- Embryonen bestätigt. Zusammen erklären diese beiden alternativen Zellschicksale den Großteil der beobachteten Veränderungen zwischen den Genotypen. Npas4l ist dafür bekannt die Expression der drei Transkriptionsfaktorgene etsrp, tal1 und lmo2 zu fördern. Ich stellte die Hypothese auf, dass das Fehlen jedes dieser Transkriptionsfaktoren in npas4l-Mutanten verschiedene Aspekte des npas4l-Phänotyps verursacht. Daher habe ich Mutantenlinien für alle drei Gene generiert und sie sowohl in vaskulären Reporterlinien als auch im npas4l-Reporterhintergrund analysiert. Die Daten legen nahe, dass verschiedene Gene unterschiedliche Prozesse während der frühen Endothelentwicklung regulieren. In npas4l-/- und etsrp-/- Embryonen differenzieren npas4l-Reporter exprimierende Zellen nicht zu Endothelzellen und tragen stattdessen zur Skelettmuskelzellpopulation bei. In npas4l-/- und tal1-/- Embryonen können npas4l-Reporter exprimierende Zellen nicht migrieren und tragen stattdessen zu der Bildung der pronephrischen Tubuli bei. Um die Beziehung zwischen diesen Faktoren besser zu verstehen, habe ich getestet, ob die Injektion von etsrp-, tal1- oder lmo2-mRNA verschiedene Aspekte des npas4l-Phänotyps retten würde. npas4l-, etsrp- und tal1-Mutanten zeigen alle schwere vaskuläre Phänotypen. Einige Endothelzellen und vaskuläre Strukturen bleiben jedoch in jeder Mutante erhalten. Der Phänotyp ist am stärksten in npas4l-/- Embryonen, aber selbst in diesen Embryonen können einige fli1a-positive Endothelzellen in der Schwanzregion beobachtet werden. Es war unklar, ob sich diese Population von Endothelzellen unabhängig von der Npas4l-, Tal1- und Etsrp-Funktion entwickelt oder als Folge einer restlichen tal1- oder etsrp-Expression unabhängig von Npas4l. Um diese Frage zu untersuchen, habe ich Doppelmutanten generiert und nach dem Vorhandensein von fli1a-positiven Endothelzellen in diesen Mutanten gesucht. Während fli1a-positive Endothelzellen in npas4l-/- und npas4l-/-;tal1-/- Embryonen deutlich vorhanden sind, können keine solchen Zellen in npas4l-/-;etsrp-/- oder etsrp-/-;tal1-/- Embryonen beobachtet werden. Diese Daten deuten darauf hin, dass sich im Zebrafisch keine Endothelzellen entwickeln können, wenn zugleich npas4l und etsrp oder etsrp und tal1 gestört sind. Während der Verlust von etsrp zu stärkeren Defekten in npas4l-Mutanten führt, gibt es keinen zusätzlichen Phänotyp, der durch den Verlust von tal1verursacht wird, was darauf hindeutet, dass die Expression von etsrp, aber nicht die von tal1, unabhängig von Npas4l auftreten kann. Diese Idee wird durch die Beobachtung unterstützt, dass etsrp, aber nicht tal1-Expression in den meisten fli1a-exprimierenden Zellen in npas4l-/- Embryonen beobachtet wird. Dennoch wird der Großteil -Expression durch Npas4l reguliert. tal1-mRNA-Injektionen reichten aus, um eine Wildtyp-ähnliche vaskuläre Musterbildung im Bauchbereich der npas4l-/- Embryonen wiederherzustellen, einschließlich der Rettung sowohl der Zellmigration als auch der Differenzierung. Da Npas4l mehrere unterschiedliche transkriptionelle Effektoren hat, war eine so starke Rettung durch nur einen dieser Effektoren unerwartet. In den geretteten Mutanten wurde die bilaterale Population von npas4l-Reporter-positiven pronephrischen Tubuluszellen nicht entdeckt, aber die Anzahl der ektopischen npas4l-Reporter exprimierenden Muskelzellen war im Vergleich zu nicht injizierten npas4l-Mutanten gleichbleibend.
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Plastics contain a complex mixture of chemicals including polymers, additives, starting substances and side-products of processing. These plastic chemicals are prone to leach into the packaged goods, in the case of food contact materials (FCMs), or into the natural environment, in the case of plastic debris. Thus, plastics represent an exposure source of chemicals for humans and wildlife alike. While it is widely known that individual plastic chemicals, such as bisphenol A and phthalates, are hazardous, little is known on the overall chemical composition and toxicity of plastics. When fragmented into smaller particles, referred to as microplastics (< 5 mm), the plastic itself can be ingested by many species. It is well established that microplastic ingestion can have negative consequences for a wide range of organisms including invertebrates, but the contribution of plastic chemicals to the toxicity of microplastics is unclear.
Given the above, the present thesis aimed at a comprehensive toxicological, ecotoxicological and chemical characterization of everyday plastics. For a comparative evaluation, 77 plastic products were selected covering 16 material types (e.g., polyethylene) made from petroleum or renewable feedstocks. These products included biodegradable products, FCMs and non-FCMs, as well as raw materials and final products, respectively. In the first two studies, the chemical mixtures contained in the 77 products were extracted with methanol and extracts were analyzed in a set of four in vitro bioassays and by non-target high-resolution gas or liquid chromatography mass spectrometry. Since an exposure only occurs if chemicals actually leach under realistic conditions, in a third study migration experiments with water were conducted for 24 out of the 77 products. The aqueous migrates were assessed in the same way as the methanolic extracts. In addition, the freshwater invertebrate Daphnia magna was exposed chronically to microplastics made of polyvinylchloride (PVC), polyurethane (PUR) and polylactic acid (PLA) to investigate the contribution of chemicals in microplastic toxicity, in a fourth study.
The experimental findings demonstrate that a wide variety of chemicals is present in plastics. A single plastic product can contain up to several thousand chemical features, most of which unique to that product and at the same time unknown. The results also indicate that the majority of these chemical mixtures are toxic in vitro. Accordingly, 65% of the plastic extracts induced baseline toxicity and 42% an oxidative stress response, while 25% had an antiandrogenic and 6% an estrogenic activity. This implies that chemicals causing unspecific toxicity are more prevalent in plastics than such with endocrine effects. These chemicals can also leach from plastics under realistic conditions. Between 17 and 8936 chemical features were detected in a single migrate sample and all 24 tested migrates induced in vitro toxicity. This means that humans and wildlife can actually be exposed to toxic plastic chemicals under realistic conditions. Generally, each product has its individual toxicological and chemical fingerprint. Thus, neither material type, feedstock, biodegradability nor the food contact suitability of a product can serve as a predictor for the toxicity, the chemical composition or complexity of a product. Likewise, this means that bio-based and biodegradable materials are not superior to their petroleum-based counterparts from a toxicological perspective despite being promoted as sustainable alternatives to conventional plastics.
Moreover, the present thesis demonstrates that plastic chemicals can be the main driver for microplastic toxicity. Irregular microplastics made of PVC, PUR and PLA adversely affected life-history traits of D. magna in a polymer type- and endpoint-dependent manner at concentrations between 100 and 500 mg L-1 and with a higher efficiency than natural kaolin particles. While the toxicity of PVC was triggered by the chemicals used in the material, the effects of PUR and PLA were induced by the physical properties of the particle.
In addition, in the fifth study, results and observations made during this thesis were integrated inter- and transdisciplinarily with the perspectives of a social scientist and a product manufacturer. This elucidated that knowledge on plastic ingredients is often concealed, is lacking or not applicable in practice. These intransparencies hinder the safety evaluation of plastic products as well as the choice and sale of the least toxic packaging material.
Overall, the present thesis highlights that the chemical safety of plastics and their bio-based and biodegradable alternatives is currently not ensured. Thus, chemicals require more consideration in the toxicity and risk assessment of plastics and microplastics. Product-specific and complex chemical compositions, including unknown compounds, pose a challenge here. Two essential steps towards non-toxic products are to increase transparency along the product life cycle and to reduce the chemical complexity of plastics by communication and regulation. The results of the present thesis indicate that products exist which do not contain toxic chemicals. These can serve to direct the design of safer plastics. Since toxicity and chemical complexity seem to increase with processing, the integration of toxicity testing during the production steps would further support the safe and sustainable production and use of plastic products.
Rule in International Relations is increasingly observed as an empirical phenomenon and academically conceptualized. This book describes rule in International Relations using four practice-theoretical dimensions. A method is developed to analyze rule from a practice-theoretical point of view - the Practice Analysis of Rule (PAR). The argumentation is followed that resistance is an important dimension of rule, which enables the researcher to understand the quality of rule. However, the empirical analysis of resistance as an indicator of rule does not allow for the analysis of subtle forms of rule sufficiently, which can have grave consequences in international relations. Therefore, to make this possible, the symbolic dimension is formulated after Bourdieu. In the following, three practice-theoretical dimensions are developed and a methodical approach is presented. Resistance is described as a practice-theoretical dimension. Based on actor-network-theory materiality is described a dimension of rule. At last, iterability is described as dimension of rule which can show the repeatability of practices. It can thus indicate the extent of consolidation of rule in each case. Through the analysis of an empirical case using the four practice-theoretical dimensions the researcher will be enabled to analyze transnational relations of rule in a theory guided and history sensitive manner.