Synaptic connectivity in micropatterned networks of neuronal cells

The presented thesis describes the formation of functional neuronal networks on an underlying micropattern. Small circuits of interconnected neurons defined by the geometry of the patterned substrate could be observed and were utilised as a model system of reduced complexity for the behaviour of neuronal network formation and activity. The first set of experiments was conducted to investigate aspects of the substrate preparation. Micropatterned substrates were created by microcontact printing of physiological proteins onto polystyrene culture dishes. The substrates displayed a high contrast between the repellant background and the cell attracting pattern, such that neurons seeded onto these surfaces aligned with the stamped structure. Both the patterning process and the cell culture were optimised, yielding highly compliant low-density networks of living neuronal cells. In the second step, cellular physiology of the cells grown on these substrates was investigated by patch-clamp measurements and compared to cells cultivated under control conditions. It could be shown that the growth on a patterned substrate did not result in an impairment of cellular integrity nor that it had an impact on synapse formation or synaptic efficacy. Due to the extremely low-density cell culture that was applied, cellular connectivity through chemical synapses could be observed at the single cell level. Having established that single cells were not negatively affected by the growth on patterned substrates, aspects of network formation were investigated. The formation of physical contact between two cells was analysed through microinjection studies and related to the rate at which functional synaptic contacts formed between two neighbouring cells. Surprisingly, the rate of synapse formation between physically contacting cells was shown to be unaltered in spite of the drastic reduction of potential interaction partners on the micropattern. Additional features of network formation were investigated and found consistent with results reported by other groups: A different rate of synapse formation by excitatory and inhibitory neurons could be reproduced as well as a different rate of frequency-dependent depression at excitatory and inhibitory synapses. Furthermore, regarding simple feedback loops, a significant enrichment of reciprocal connectivity between mixed pairs of excitatory and inhibitory neurons relative to uniform pairs could be demonstrated. This phenomenon has also been described by others in unpatterned cultures [Muller, 1997] and may therefore be a feature underlying neuronal network formation in general. Based on these findings, it can be assumed that inherent features of neuronal behaviour and cellular recognition mechanisms were found in the cultured networks and appear to be undisturbed by patterned growth. At the same time, it was possible to reduce the complexity of the forming networks dramatically in a cell culture on a patterned surface. Thus, features of network architecture and synaptic connectivity could be investigated on the single cell level under highly defined conditions.

Tetracycline-inducible RNAi Knockdown of SCL (Stem Cell Leukaemia) in Mice

RNAi (RNA interference) is a powerful technology for sequence-specific targeting of mRNAs. This thesis was aimed at establishing conditions for conditional RNAi-mediated silencing first in vitro and subsequently also in transgenic mice. As a target the basic helix-loop-helix transcription factor encoding gene SCL (stem cell leukaemia also known as Tal-1 or TCL5) was used. SCL is a key regulator for haematopoietic development and ectopic expression of SCL is correlated with acute T-lymphoblastic leukaemias. Loss of SCL function studies demonstrated that ab initio deletion of SCL resulted in embryonic lethality around day E9 in gestation. To be able to conditionally inactivate SCL, RNAi technology was combined with the tetracycline-dependent regulatory system. This strategy allowed to exogenously control the induction of RNAi in a reversible fashion and consequently the generation of a completely switchable RNAi knockdown. First a suitable vector allowing for co-expression of tetracycline-controlled shRNAs (small hairpin RNAs) and constitutively active EGFP (enhanced green fluorescent protein) was generated. This novel vector, pRNAi-EGFP, was then evaluated for EGFP expression and tetracycline-mediated expression of shRNAs. Four sequences targeting different regions within the SCL mRNA were tested for their efficiency to specifically knockdown SCL. These experiments were performed in M1 murine leukaemia cells and subsequently in the HEK 293 cell line, expressing an engineered HA-tagged SCL protein. The second assay provided a solid experimental method for determining the efficiency of different SCL-siRNA knockdown constructs in tissue culture. Western blotting analyses revealed a down regulation of SCL protein for all four tested SCL-specific target sequences albeit with different knockdown efficiencies (between 25% and 100%). Furthermore, stringent tetracycline-dependent switchability of shRNA expression was confirmed by co-transfecting the SCL-specific pRNAi-EGFP vector (SCL-siRNA) together with the HA-tagged SCL expression plasmid into the HEK 293TR /T-REx cell line constitutively expressing the tetracycline repressor (TetR). These series of experiments demonstrated tight regulation of siRNA expression without background activity. To be able to control the SCL knockdown in vivo and especially to circumvent any possible embryonic lethality a transgenic mouse line with general expression of a tetracycline repressor was needed. Two alternative methods were used to generate TetR mice. The first approach was to co-inject the tetracycline-regulated RNAi vector together with a commercially available and here specifically modified T-REx expression vector (SCL-siRNA T-REx FRT LoxP mouse line). The second method involved the generation of a TetR expressor mouse line, which was then used for donating TetR-positive oocytes for pronuclear injection of the RNAi vector (SCL-siRNA T-REx mouse line). As expected, and in agreement with data from conditional Cre-controlled adult SCL knockout mice, post-transcriptional silencing of SCL by RNAi caused a shift in the maturation of red blood cell populations. This was shown in the bone marrow and peripheral blood by FACS analysis with the red blood cell-specific TER119 and CD71 markers which can be used to define erythrocyte differentiation (Lodish plot technique). In conclusion this study established conditions for effective SCL RNAi-mediated silencing in vitro and in vivo providing an important tool for further investigations into the role of SCL and, more generally, of its in vivo function in haematopoiesis and leukaemia. Most importantly, the here acquired knowledge will now allow the establishment of other completely conditional and reversible knockdown phenotypes in mice.

Zur Struktur und Funktion der Typ-3-Kupferproteine sowie der Lichtsammlerkomplexe LHCI und LHCII

In der vorliegenden Arbeit wurden die bioinformatischen Methoden der Homologie-Modellierung und Molekularen Modellierung dazu benutzt, die dreidimensionalen Strukturen verschiedenster Proteine vorherzusagen und zu analysieren. Experimentelle Befunde aus Laborversuchen wurden dazu benutzt, die Genauigkeit der Homologie-Modelle zu erhöhen. Die Ergebnisse aus den Modellierungen wurden wiederum dazu benutzt, um neue experimentelle Versuche vorzuschlagen. Anhand der erstellten Modelle und bekannten Kristallstrukturen aus der Protein-Datenbank PDB wurde die Struktur-Funktionsbeziehung verschiedener Tyrosinasen untersucht. Dazu gehörten sowohl die Tyrosinase des Bakteriums Streptomyces als auch die Tyrosinase der Hausmaus. Aus den vergleichenden Strukturanalysen der Tyrosinasen resultierten Mechanismen für die Monophenolhydroxylase-Aktivität der Tyrosinasen sowie für den Import der Kupferionen ins aktive Zentrum. Es konnte der Beweis geführt werden, daß die Blockade des CuA-Zentrums tatsächlich der Grund für die unterschiedliche Aktivität von Tyrosinasen und Catecholoxidasen ist. Zum ersten Mal konnte mit der Maus-Tyrosinase ein vollständiges Strukturmodell einer Säugetier-Tyrosinase erstellt werden, das dazu in der Lage ist, die Mechanismen bekannter Albino-Mutationen auf molekularer Ebene zu erklären. Die auf der Basis des ermittelten 3D-Modells gewonnenen Erkenntnisse über die Wichtigkeit bestimmter Aminosäuren für die Funktion wurde durch gerichtete Mutagenese an der rekombinant hergestellten Maus-Tyrosinase getestet und bestätigt. Weiterhin wurde die Struktur der Tyrosinase des Krebses Palinurus elephas durch eine niedrigaufgelöste 3D-Rekonstruktion aus elektronenmikroskopischen Bildern aufgeklärt. Der zweite große Themenkomplex umfasst die Strukturanalyse der Lichtsammlerkomplexe LHCI-730 und LHCII. Im Falle des LHCII konnte der Oligomerisierungszustand der LHCMoleküle mit diskreten Konformationen des N-Terminus korreliert werden. Auch hier kam eine Kombination von Homologie-Modellierung und einer experimentellen Methode, der Elektronen-Spin-Resonanz-Messung, zum Einsatz. Die Änderung des Oligomerisierungszustands des LHCII kontrolliert den Energiezufluß zu den Photosystemen PS I und PS II. Des Weiteren wurde ein vollständiges Modell des LHCI-730 erstellt, um die Auswirkungen gerichteter Mutagenese auf das Dimerisierungsverhalten zu untersuchen. Auf Basis dieses Modells wurden die Wechselwirkungen zwischen den Monomeren Lhca1 und Lhca4 evaluiert und potentielle Bindungspartner identifiziert.

Automatic induction of lexical features

This thesis concerns artificially intelligent natural language processing systems that are capable of learning the properties of lexical items (properties like verbal valency or inflectional class membership) autonomously while they are fulfilling their tasks for which they have been deployed in the first place. Many of these tasks require a deep analysis of language input, which can be characterized as a mapping of utterances in a given input C to a set S of linguistically motivated structures with the help of linguistic information encoded in a grammar G and a lexicon L: G + L + C → S (1) The idea that underlies intelligent lexical acquisition systems is to modify this schematic formula in such a way that the system is able to exploit the information encoded in S to create a new, improved version of the lexicon: G + L + S → L' (2) Moreover, the thesis claims that a system can only be considered intelligent if it does not just make maximum usage of the learning opportunities in C, but if it is also able to revise falsely acquired lexical knowledge. So, one of the central elements in this work is the formulation of a couple of criteria for intelligent lexical acquisition systems subsumed under one paradigm: the Learn-Alpha design rule. The thesis describes the design and quality of a prototype for such a system, whose acquisition components have been developed from scratch and built on top of one of the state-of-the-art Head-driven Phrase Structure Grammar (HPSG) processing systems. The quality of this prototype is investigated in a series of experiments, in which the system is fed with extracts of a large English corpus. While the idea of using machine-readable language input to automatically acquire lexical knowledge is not new, we are not aware of a system that fulfills Learn-Alpha and is able to deal with large corpora. To instance four major challenges of constructing such a system, it should be mentioned that a) the high number of possible structural descriptions caused by highly underspeci ed lexical entries demands for a parser with a very effective ambiguity management system, b) the automatic construction of concise lexical entries out of a bulk of observed lexical facts requires a special technique of data alignment, c) the reliability of these entries depends on the system's decision on whether it has seen 'enough' input and d) general properties of language might render some lexical features indeterminable if the system tries to acquire them with a too high precision. The cornerstone of this dissertation is the motivation and development of a general theory of automatic lexical acquisition that is applicable to every language and independent of any particular theory of grammar or lexicon. This work is divided into five chapters. The introductory chapter first contrasts three different and mutually incompatible approaches to (artificial) lexical acquisition: cue-based queries, head-lexicalized probabilistic context free grammars and learning by unification. Then the postulation of the Learn-Alpha design rule is presented. The second chapter outlines the theory that underlies Learn-Alpha and exposes all the related notions and concepts required for a proper understanding of artificial lexical acquisition. Chapter 3 develops the prototyped acquisition method, called ANALYZE-LEARN-REDUCE, a framework which implements Learn-Alpha. The fourth chapter presents the design and results of a bootstrapping experiment conducted on this prototype: lexeme detection, learning of verbal valency, categorization into nominal count/mass classes, selection of prepositions and sentential complements, among others. The thesis concludes with a review of the conclusions and motivation for further improvements as well as proposals for future research on the automatic induction of lexical features.

Developments for transactinide chemistry experiments behind the gas-filled separator TASCA

Topic of this thesis is the development of experiments behind the gas-filled separator TASCA(TransActinide Separator and Chemistry Apparatus) to study the chemical properties of the transactinide elements.rnIn the first part of the thesis, the electrodepositions of short-lived isotopes of ruthenium and osmium on gold electrodes were studied as model experiments for hassium. From literature it is known that the deposition potential of single atoms differs significantly from the potential predicted by the Nernst equation. This shift of the potential depends on the adsorption enthalpy of therndeposited element on the electrode material. If the adsorption on the electrode-material is favoured over the adsorption on a surface made of the same element as the deposited atom, the electrode potential is shifted to higher potentials. This phenomenon is called underpotential deposition.rnPossibilities to automatize an electro chemistry experiment behind the gas-filled separator were explored for later studies with transactinide elements.rnThe second part of this thesis is about the in-situ synthesis of transition-metal-carbonyl complexes with nuclear reaction products. Fission products of uranium-235 and californium-249 were produced at the TRIGA Mainz reactor and thermalized in a carbon-monoxide containing atmosphere. The formed volatile metal-carbonyl complexes could be transported in a gas-stream.rnFurthermore, short-lived isotopes of tungsten, rhenium, osmium, and iridium were synthesised at the linear accelerator UNILAC at GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt. The recoiling fusion products were separated from the primary beam and the transfer products in the gas-filled separator TASCA. The fusion products were stopped in the focal plane of TASCA in a recoil transfer chamber. This chamber contained a carbon-monoxide – helium gas mixture. The formed metal-carbonyl complexes could be transported in a gas stream to various experimental setups. All synthesised carbonyl complexes were identified by nuclear decay spectroscopy. Some complexes were studied with isothermal chromatography or thermochromatography methods. The chromatograms were compared with Monte Carlo Simulations to determine the adsorption enthalpyrnon silicon dioxide and on gold. These simulations based on existing codes, that were modified for the different geometries of the chromatography channels. All observed adsorption enthalpies (on silcon oxide as well as on gold) are typical for physisorption. Additionally, the thermalstability of some of the carbonyl complexes was studied. This showed that at temperatures above 200 °C therncomplexes start to decompose.rnIt was demonstrated that carbonyl-complex chemistry is a suitable method to study rutherfordium, dubnium, seaborgium, bohrium, hassium, and meitnerium. Until now, only very simple, thermally stable compounds have been synthesized in the gas-phase chemistry of the transactindes. With the synthesis of transactinide-carbonyl complexes a new compound class would be discovered. Transactinide chemistry would reach the border between inorganic and metallorganic chemistry.rnFurthermore, the in-situ synthesised carbonyl complexes would allow nuclear spectroscopy studies under low background conditions making use of chemically prepared samples.

Numerical modelling of fluid-structure interaction with application in hemodynamics

The thesis deals with numerical algorithms for fluid-structure interaction problems with application in blood flow modelling. It starts with a short introduction on the mathematical description of incompressible viscous flow with non-Newtonian viscosity and a moving linear viscoelastic structure. The mathematical model consists of the generalized Navier-Stokes equation used for the description of fluid flow and the generalized string model for structure movement. The arbitrary Lagrangian-Eulerian approach is used in order to take into account moving computational domain. A part of the thesis is devoted to the discussion on the non-Newtonian behaviour of shear-thinning fluids, which is in our case blood, and derivation of two non-Newtonian models frequently used in the blood flow modelling. Further we give a brief overview on recent fluid-structure interaction schemes with discussion about the difficulties arising in numerical modelling of blood flow. Our main contribution lies in numerical and experimental study of a new loosely-coupled partitioned scheme called the kinematic splitting fluid-structure interaction algorithm. We present stability analysis for a coupled problem of non-Newtonian shear-dependent fluids in moving domains with viscoelastic boundaries. Here, we assume both, the nonlinearity in convective as well is diffusive term. We analyse the convergence of proposed numerical scheme for a simplified fluid model of the Oseen type. Moreover, we present series of experiments including numerical error analysis, comparison of hemodynamic parameters for the Newtonian and non-Newtonian fluids and comparison of several physiologically relevant computational geometries in terms of wall displacement and wall shear stress. Numerical analysis and extensive experimental study for several standard geometries confirm reliability and accuracy of the proposed kinematic splitting scheme in order to approximate fluid-structure interaction problems.