Evaluation of a viral vector system, based on a defective interfering RNA of tomato bushy stunt virus, for protein expression and the induction of gene silencing

A viral vector system was developed based on a DI-RNA, a sub-viral particle derived from TBSV-BS3-statice. This newly designed vector system was tested for its applicability in protein expression and induction of gene silencing. Two strategies were pursued. The first strategy was replication of the DI-RNA by a transgenically expressed TBSV replicase and the second was the replication by a so called helper virus. It could be demonstrated by northern blot analysis that the replicase, expressed by the transgenic N. benthamiana plant line TR4 or supplied by the helper virus, is able to replicate DI-RNA introduced into the plant cells. Various genes were inserted into different DI constructs in order to study the vector system with regard to protein expression. However, independent of how the replicase was provided no detectable amounts of protein were produced in the plants. Possible reasons for this failure are identified: the lack of systemic movement of the DI-RNA in the transgenic TR4 plants and the occurrence of deletions in the inserted genes in both systems. As a consequence the two strategies were considered unsuitable for protein expression. The DI-RNA vector system was able to induce silencing of transgenes as well as endogenous genes. Several different p19 deficient helper virus constructs were made to evaluate their silencing efficiency in combination with our DI-RNA constructs. However, it was found that our vector system can not compete with other existing VIGS (virus induced gene silencing) systems in this field. Finally, the influence of DI sequences on mRNA stability on transient GUS expression experiments in GUS silenced plants was evaluated. The GUS reporter gene system was found to be unsuitable for distinguishing between expression levels of wild type plants and GUS silenced transgenic plants. The results indicate a positive effect of the DI sequences on the level of protein expression and therefore further research into this area is recommended.

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.

Antigen-dependent induction of a CD40 signal in peripheral B cells

Monoclonal antibodies have emerged as one of the most promising therapeutics in oncology over the last decades. The generation of fully human tumorantigen-specific antibodies suitable for anti-tumor therapy is laborious and difficult to achieve. Autoreactive B cells expressing those antibodies are detectable in cancer patients and represent a suitable source for human antibodies. However, the isolation and cultivation of this cell type is challenging. A novel method was established to identify antigen-specific B cells. The method is based on the conversion of the antigen independent CD40 signal into an antigen-specific one. For that, the artificial fusion proteins ABCos1 and ABCos2 (Antigen-specific B cell co-stimulator) were generated, which consist of an extracellular association-domain derived from the constant region of the human immunoglobulin (Ig) G1, a transmembrane fragment and an intracellular signal transducer domain derived of the cytoplasmic domain of the human CD40 receptor. By the association with endogenous Ig molecules the heterodimeric complex allows the antigen-specific stimulation of both the BCR and CD40. In this work the ability of the ABCos constructs to associate with endogenous IgG molecules was shown. Moreover, crosslinking of ABCos stimulates the activation of NF-κB in HEK293-lucNifty and induces proliferation in B cells. The stimulation of ABCos in transfected B cells results in an activation pattern different from that induced by the conventional CD40 signal. ABCos activated B cells show a mainly IgG isotype specific activation of memory B cells and are characterized by high proliferation and the differentiation into plasma cells. To validate the approach a model system was conducted: B cells were transfected with IVT-RNA encoding for anti-Plac1 B cell receptor (antigen-specific BCR), ABCos or both. The stimulation with the BCR specific Plac1 peptide induces proliferation only in the cotransfected B cell population. Moreover, we tested the method in human IgG+ memory B cells from CMV infected blood donors, in which the stimulation of ABCos transfected B cells with a CMV peptide induces antigen-specific expansion. These findings show that challenging ABCos transfected B cells with a specific antigen results in the activation and expansion of antigen-specific B cells and not only allows the identification but also cultivation of these B cells. The described method will help to identify antigen-specific B cells and can be used to characterize (tumor) autoantigen-specific B cells and allows the generation of fully human antibodies that can be used as diagnostic tool as well as in cancer therapy.

Mechanistic study of cell death induction by O 6-methylating agents, focusing on the role of homologous recombination as a molecular target for sensitization of tumor cells to chemotherapeutic alkylating agents

Chemotherapeutic SN1‑methylating agents are important anticancer drugs. They induce several covalent modifications in the DNA, from which O6‑methylguanine (O6MeG) is the main toxic lesion. In this work, different hypotheses that have been proposed to explain the mechanism of O6MeG‑triggered cell death were tested. The results of this work support the abortive processing model, which states that abortive post‑replicative processing of O6MeG‑driven mispairs by the DNA mismatch repair (MMR) machinery results in single‑strand gaps in the DNA that, upon a 2nd round of DNA replication, leads to DNA double‑strand break (DSB) formation, checkpoint activation and cell death. In this work, it was shown that O6MeG induces an accumulation of cells in the 2nd G2/M‑phase after treatment. This was accompanied by an increase in DSB formation in the 2nd S/G2/M‑phase, and paralleled by activation of the checkpoint kinases ATR and CHK1. Apoptosis was activated in the 2nd cell cycle. A portion of cells continue proliferating past the 2nd cell cycle, and triggers apoptosis in the subsequent generations. An extension to the original model is proposed, where the persistence of O6MeG in the DNA causes new abortive MMR processing in the 2nd and subsequent generations, where new DSB are produced triggering cell death. Interestingly, removal of O6MeG beyond the 2nd generation lead to a significant, but not complete, reduction in apoptosis, pointing to the involvement of additional mechanisms as a cause of apoptosis. We therefore propose that an increase in genomic instability resulting from accumulation of mis‑repaired DNA damage plays a role in cell death induction. Given the central role of DSB formation in toxicity triggered by chemotherapeutic SN1‑alkylating agents, it was aimed in the second part of this thesis to determine whether inhibition of DSB repair by homologous recombination (HR) or non‑homologous end joining (NHEJ) is a reasonable strategy for sensitizing glioblastoma cells to these agents. The results of this work show that HR down‑regulation in glioblastoma cells impairs the repair of temozolomide (TMZ)‑induced DSB. HR down‑regulation greatly sensitizes cells to cell death following O6‑methylating (TMZ) or O6‑chlorethylating (nimustine) treatment, but not following ionizing radiation. The RNAi mediated inhibition in DSB repair and chemo‑sensitization was proportional to the knockdown of the HR protein RAD51. Chemo‑sensitization was demonstrated for several HR proteins, in glioma cell lines proficient and mutated in p53. Evidence is provided showing that O6MeG is the primary lesion responsible for the increased sensitivity of glioblastoma cells following TMZ treatment, and that inhibition of the resistance marker MGMT restores the chemo‑sensitization achieved by HR down‑regulation. Data are also provided to show that inhibition of DNA‑PK dependent NHEJ does not significantly sensitized glioblastoma cells to TMZ treatment. Finally, the data also show that PARP inhibition with olaparib additionally sensitized HR down‑regulated glioma cells to TMZ. Collectively, the data show that processing of O6MeG through two rounds of DNA replication is required for DSB formation, checkpoint activation and apoptosis induction, and that O6MeG‑triggered apoptosis is also executed in subsequent generations. Furthermore, the data provide proof of principle evidence that down‑regulation of HR is a reasonable strategy for sensitizing glioma cells to killing by O6‑alkylating chemotherapeutics.

Induction of RAGE shedding by activation of G-protein-coupled receptors

The multiligand Receptor for Advanced Glycation End products (RAGE) is involved in various pathophysiological processes, including diabetic inflammatory conditions and Alzheimers disease. Full-length RAGE, a cell surface-located type I membrane protein, can proteolytically be converted by metalloproteinases ADAM10 and MMP9 into a soluble RAGE form. Moreover, administration of recombinant soluble RAGE suppresses activation of cell surface-located RAGE by trapping RAGE ligands. Therefore stimulation of RAGE shedding might have a therapeutic value regarding inflammatory diseases. We aimed to investigate whether RAGE shedding is inducible via ligand-induced activation of G protein-coupled receptors (GPCRs). We chose three different GPCRs coupled to distinct signaling cascades: the V2 vasopressin receptor (V2R) activating adenylyl cyclase, the oxytocin receptor (OTR) linked to phospholipase Cβ, and the PACAP receptor (subtype PAC1) coupled to adenylyl cyclase, phospholipase Cβ, calcium signaling and MAP kinases. We generated HEK cell lines stably coexpressing an individual GPCR and full-length RAGE and then investigated GPCR ligand-induced activation of RAGE shedding. We found metalloproteinase-mediated RAGE shedding on the cell surface to be inducible via ligand-specific activation of all analyzed GPCRs. By using specific inhibitors we have identified Ca2+ signaling, PKCα/PKCβI, CaMKII, PI3 kinases and MAP kinases to be involved in PAC1 receptor-induced RAGE shedding. We detected an induction of calcium signaling in all our cell lines coexpressing RAGE and different GPCRs after agonist treatment. However, we did not disclose a contribution of adenylyl cyclase in RAGE shedding induction. Furthermore, by using a selective metalloproteinase inhibitor and siRNAmediated knock-down approaches, we show that ADAM10 and/or MMP9 are playing important roles in constitutive and PACAP-induced RAGE shedding. We also found that treatment of mice with PACAP increases the amount of soluble RAGE in the mouse lung. Our findings suggest that pharmacological stimulation of RAGE shedding might open alternative treatment strategies for Alzheimers disease and diabetes-induced inflammation.