Characterization of the role of Drosophila JAK/STAT signalling in cellular proliferation

Der Janus Kinase / signal transducer and activator of transcription (JAK/STAT) Signal- transduktionsweg wird für viele Entwicklungsvorgänge benötigt und spielt eine zentrale Rolle bei der Hämatopoese und bei der Immunantwort. Obwohl der JAK/STAT-Signalweg in den vergangenen Jahren Gegenstand intensiver Forschung war, erschwert die Redundanz des Signalwegs bei Wirbeltieren genetische Untersuchungen zur Identifizierung derjenigen Mechanismen, die den JAK/STAT-Signalweg regulieren. Der JAK/STAT-Signaltransduktionsweg ist evolutionär konserviert und ebenfalls bei der Taufliege Drosophila melanogaster vorhanden. Im Gegensatz zu Wirbeltieren ist der Signaltransduktionsweg von Drosophila weniger redundant und beinhaltet folgende Hauptkomponenten: den Liganden Unpaired (Upd), den Transmembranrezeptor Domeless (Dome), die einzige JAK-Tyrosinkinase Hopscotch (hop), sowie den Transkriptionsfaktor STAT92E. In der vorliegenden Arbeit wird die Rolle des JAK/STAT-Signalwegs bei der zellulären Proliferation mithilfe der Modellsysteme der Flügel- und der Augen-Imaginalscheiben von Drosophila charakterisiert. "Loss-of-function"- und "Gain-of-function"-Experimente zur Verminderung beziehungs-weise Erhöhung der Signalaktivität zeigten, dass der JAK/STAT-Signalweg eine Rolle bei der zellulären Proliferation der Flügel-Imaginalscheiben spielte, ohne die Zellgröße oder Apoptose zu verändern. Bei der Flügelentwicklung während des zweiten und des frühen dritten Larvalstadiums war die Aktivität des JAK/STAT-Signalwegs sowohl notwendig für die zelluläre Proliferation als auch hinreichend, um Überproliferation anzutreiben. Allerdings änderte sich während der späten dritten Larvalstadien die JAK/STAT-Signalaktivität, sodass endogene STAT92E-Mengen einen anti-proliferativen Effekt im gleichen Gewebe aufwiesen. Weiterhin reichte die ektopische Aktivierung des JAK/STAT-Signalwegs zu diesem späten Entwicklungszeitpunkt aus, um die Mitose zu inhibieren und die Zellen in der Phase G2 des Zellzyklus zu arretieren. Diese Ergebnisse legen den Schluss nahe, dass der JAK/STAT-Signalweg sowohl pro-proliferativ in frühen Flügelscheiben als auch anti-proliferativ zu späten Stadien der Flügelscheiben-Entwicklung wirken kann. Dieser späte anti-proliferative Effekt wurde durch einen nicht-kanonischen Mechanismus der STAT92E-Aktivierung vermittelt, da späte hop defiziente Zellverbände im Vergleich zu Wildtyp-Zellen keine Veränderungen im Ausmaß der zellulären Proliferation aufwiesen. Ferner konnte gezeigt werden, dass eine während der Larvalstadien exprimierte dominant-negative und im N-Terminus deletierte Form von STAT92E (?NSTAT92E) nicht für den anti-proliferativen Effekt verantwortlich ist. Diese Tatsache ist ein weiteres Indiz dafür, dass das vollständige STAT92E den späten anti-proliferativen Effekt verursacht. Um Modulatoren für die von JAK/STAT vermittelte zelluläre Proliferation zu identifieren, wurde ein P-Element-basierter genetischer Interaktions-Screen in einem sensibilisierten genetischen Hintergrund durchgeführt. Insgesamt wurden dazu 2267 unabhängige P-Element-Insertionen auf ihre Wechselwirkung mit der JAK/STAT-Signalaktivität untersucht und 24 interagierende Loci identifiziert. Diese Kandidaten können in folgende Gruppen eingeordnet werden: Zellzyklusproteine, Transkriptionsfaktoren, DNA und RNA bindende Proteine, ein Mikro-RNA-Gen, Komponenten anderer Signaltransduktionswege und Zelladhäsionsproteine. In den meisten Fällen wurden mehrere Allele der interagierenden Kandidatengene getestet. 18 Kandidatengene mit übereinstimmend interagierenden Allelen wurden dann zur weiteren Analyse ausgewählt. Von diesen 18 Kandidaten-Loci wurden 7 mögliche JAK/STAT-Signalwegskomponenten und 6 neue Zielgene des Signalwegs gefunden. Zusammenfassend wurde das Verständnis um STAT92E verbessert. Dieses Protein hat die gleiche Funktion wie das STAT3-Protein der Wirbeltiere und treibt die zelluläre Proliferation voran. Analog zu STAT1 hat STAT92E aber auch einen anti-proliferativen Effekt. Ferner wurden 24 mögliche Modulatoren der JAK/STAT-Signalaktivität identifiziert. Die Charakterisierung dieser Wechselwirkungen eröffnet vielversprechende Wege zu dem Verständnis, wie JAK/STAT die zelluläre Proliferation reguliert und könnte bei der Entwicklung von neuartigen therapeutischen Targets zur Behandlung von Krebskrankheiten und Entwicklungsstörungen beitragen.

Heterochromatin und epigenetische Kontrolle der Centromere in Dictyostelium discoideum

Heterochromatin Protein 1 (HP1) is an evolutionarily conserved protein required for formation of a higher-order chromatin structures and epigenetic gene silencing. The objective of the present work was to functionally characterise HP1-like proteins in Dictyostelium discoideum, and to investigate their function in heterochromatin formation and transcriptional gene silencing. The Dictyostelium genome encodes three HP1-like proteins (hcpA, hcpB, hcpC), from which only two, hcpA and hcpB, but not hcpC were found to be expressed during vegetative growth and under developmental conditions. Therefore, hcpC, albeit no obvious pseudogene, was excluded from this study. Both HcpA and HcpB show the characteristic conserved domain structure of HP1 proteins, consisting of an N-terminal chromo domain and a C-terminal chromo shadow domain, which are separated by a hinge. Both proteins show all biochemical activities characteristic for HP1 proteins, such as homo- and heterodimerisation in vitro and in vivo, and DNA binding activtity. HcpA furthermore seems to bind to K9-methylated histone H3 in vitro. The proteins thus appear to be structurally and functionally conserved in Dictyostelium. The proteins display largely identical subnuclear distribution in several minor foci and concentration in one major cluster at the nuclear periphery. The localisation of this cluster adjacent to the nucleus-associated centrosome and its mitotic behaviour strongly suggest that it represents centromeric heterochromatin. Furthermore, it is characterised by histone H3 lysine-9 dimethylation (H3K9me2), which is another hallmark of Dictyostelium heterochromatin. Therefore, one important aspect of the work was to characterise the so-far largely unknown structural organisation of centromeric heterochromatin. The Dictyostelium homologue of inner centromere protein INCENP (DdINCENP), co-localized with both HcpA and H3K9me2 during metaphase, providing further evidence that H3K9me2 and HcpA/B localisation represent centromeric heterochromatin. Chromatin immunoprecipitation (ChIP) showed that two types of high-copy number retrotransposons (DIRS-1 and skipper), which form large irregular arrays at the chromosome ends, which are thought to contain the Dictyostelium centromeres, are characterised by H3K9me2. Neither overexpression of full-length HcpA or HcpB, nor deletion of single Hcp isoforms resulted in changes in retrotransposon transcript levels. However, overexpression of a C-terminally truncated HcpA protein, assumed to display a dominant negative effect, lead to an increase in skipper retrotransposon transcript levels. Furthermore, overexpression of this protein lead to severe growth defects in axenic suspension culture and reduced cell viability. In order to elucidate the proteins functions in centromeric heterochromatin formation, gene knock-outs for both hcpA and hcpB were generated. Both genes could be successfully targeted and disrupted by homologous recombination. Surprisingly, the degree of functional redundancy of the two isoforms was, although not unexpected, very high. Both single knock-out mutants did not show any obvious phenotypes under standard laboratory conditions and only deletion of hcpA resulted in subtle growth phenotypes when grown at low temperature. All attempts to generate a double null mutant failed. However, both endogenous genes could be disrupted in cells in which a rescue construct that ectopically expressed one of the isoforms either with N-terminal 6xHis- or GFP-tag had been introduced. The data imply that the presence of at least one Hcp isoform is essential in Dictyostelium. The lethality of the hcpA/hcpB double mutant thus greatly hampered functional analysis of the two genes. However, the experiment provided genetic evidence that the GFP-HcpA fusion protein, because of its ability to compensate the loss of the endogenous HcpA protein, was a functional protein. The proteins displayed quantitative differences in dimerisation behaviour, which are conferred by the slightly different hinge and chromo shadow domains at the C-termini. Dimerisation preferences in increasing order were HcpA-HcpA << HcpA-HcpB << HcpB-HcpB. Overexpression of GFP-HcpA or a chimeric protein containing the HcpA C-terminus (GFP-HcpBNAC), but not overexpression of GFP-HcpB or GFP-HcpANBC, lead to increased frequencies of anaphase bridges in late mitotic cells, which are thought to be caused by telomere-telomere fusions. Chromatin targeting of the two proteins is achieved by at least two distinct mechanisms. The N-terminal chromo domain and hinge of the proteins are required for targeting to centromeric heterochromatin, while the C-terminal portion encoding the CSD is required for targeting to several other chromatin regions at the nuclear periphery that are characterised by H3K9me2. Targeting to centromeric heterochromatin likely involves direct binding to DNA. The Dictyostelium genome encodes for all subunits of the origin recognition complex (ORC), which is a possible upstream component of HP1 targeting to chromatin. Overexpression of GFP-tagged OrcB, the Dictyostelium Orc2 homologue, showed a distinct nuclear localisation that partially overlapped with the HcpA distribution. Furthermore, GFP-OrcB localized to the centrosome during the entire cell cycle, indicating an involvement in centrosome function. DnmA is the sole DNA methyltransferase in Dictyostelium required for all DNA(cytosine-)methylation. To test for its in vivo activity, two different cell lines were established that ectopically expressed DnmA-myc or DnmA-GFP. It was assumed that overexpression of these proteins might cause an increase in the 5-methyl-cytosine(5-mC)-levels in the genomic DNA due to genomic hypermethylation. Although DnmA-GFP showed preferential localisation in the nucleus, no changes in the 5-mC-levels in the genomic DNA could be detected by capillary electrophoresis.

Evolving Distributed Algorithms with Genetic Programming

Distributed systems are one of the most vital components of the economy. The most prominent example is probably the internet, a constituent element of our knowledge society. During the recent years, the number of novel network types has steadily increased. Amongst others, sensor networks, distributed systems composed of tiny computational devices with scarce resources, have emerged. The further development and heterogeneous connection of such systems imposes new requirements on the software development process. Mobile and wireless networks, for instance, have to organize themselves autonomously and must be able to react to changes in the environment and to failing nodes alike. Researching new approaches for the design of distributed algorithms may lead to methods with which these requirements can be met efficiently. In this thesis, one such method is developed, tested, and discussed in respect of its practical utility. Our new design approach for distributed algorithms is based on Genetic Programming, a member of the family of evolutionary algorithms. Evolutionary algorithms are metaheuristic optimization methods which copy principles from natural evolution. They use a population of solution candidates which they try to refine step by step in order to attain optimal values for predefined objective functions. The synthesis of an algorithm with our approach starts with an analysis step in which the wanted global behavior of the distributed system is specified. From this specification, objective functions are derived which steer a Genetic Programming process where the solution candidates are distributed programs. The objective functions rate how close these programs approximate the goal behavior in multiple randomized network simulations. The evolutionary process step by step selects the most promising solution candidates and modifies and combines them with mutation and crossover operators. This way, a description of the global behavior of a distributed system is translated automatically to programs which, if executed locally on the nodes of the system, exhibit this behavior. In our work, we test six different ways for representing distributed programs, comprising adaptations and extensions of well-known Genetic Programming methods (SGP, eSGP, and LGP), one bio-inspired approach (Fraglets), and two new program representations called Rule-based Genetic Programming (RBGP, eRBGP) designed by us. We breed programs in these representations for three well-known example problems in distributed systems: election algorithms, the distributed mutual exclusion at a critical section, and the distributed computation of the greatest common divisor of a set of numbers. Synthesizing distributed programs the evolutionary way does not necessarily lead to the envisaged results. In a detailed analysis, we discuss the problematic features which make this form of Genetic Programming particularly hard. The two Rule-based Genetic Programming approaches have been developed especially in order to mitigate these difficulties. In our experiments, at least one of them (eRBGP) turned out to be a very efficient approach and in most cases, was superior to the other representations.