@phdthesis{Pahl2011,
  author    = {Pahl, Mario},
  title     = {Honeybee Cognition: Aspects of Learning, Memory and Navigation in a Social Insect},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-66165},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2011},
  abstract  = {Honeybees (Apis mellifera) forage on a great variety of plant species, navigate over large distances to crucial resources, and return to communicate the locations of food sources and potential new nest sites to nest mates using a symbolic dance language. In order to achieve this, honeybees have evolved a rich repertoire of adaptive behaviours, some of which were earlier believed to be restricted to vertebrates. In this thesis, I explore the mechanisms involved in honeybee learning, memory, numerical competence and navigation. The findings acquired in this thesis show that honeybees are not the simple reflex automats they were once believed to be. The level of sophistication I found in the bees' memory, their learning ability, their time sense, their numerical competence and their navigational abilities are surprisingly similar to the results obtained in comparable experiments with vertebrates. Thus, we should reconsider the notion that a bigger brain automatically indicates higher intelligence.},
  subject      = {Biene},
  language  = {en}
}
@phdthesis{Halder2011,
  author    = {Halder, Partho},
  title     = {Identification and characterization of synaptic proteins of Drosophila melanogaster using monoclonal antibodies of the Wuerzburg Hybridoma Library},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-67325},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2011},
  abstract  = {For a large fraction of the proteins expressed in the human brain only the primary structure is known from the genome project. Proteins conserved in evolution can be studied in genetic models such as Drosophila. In this doctoral thesis monoclonal antibodies (mAbs) from the Wuerzburg Hybridoma library are produced and characterized with the aim to identify the target antigen. The mAb ab52 was found to be an IgM which recognized a cytosolic protein of Mr ~110 kDa on Western blots. The antigen was resolved by two-dimensional gel electrophoresis (2DE) as a single distinct spot. Mass spectrometric analysis of this spot revealed EPS-15 (epidermal growth factor receptor pathway substrate clone 15) to be a strong candidate. Another mAb from the library, aa2, was already found to recognize EPS-15, and comparison of the signal of both mAbs on Western blots of 1D and 2D electrophoretic separations revealed similar patterns, hence indicating that both antigens could represent the same protein. Finally absence of the wild-type signal in homozygous Eps15 mutants in a Western blot with ab52 confirmed the ab52 antigen to be EPS-15. Thus both the mAbs aa2 and ab52 recognize the Drosophila homologue of EPS-15. The mAb aa2, being an IgG, is more suitable for applications like immunoprecipitation (IP). It has already been submitted to the Developmental Studies Hybridoma Bank (DSHB) to be easily available for the entire research community. The mAb na21 was also found to be an IgM. It recognizes a membrane associated antigen of Mr ~10 kDa on Western blots. Due to the membrane associated nature of the protein, it was not possible to resolve it by 2DE and due to the IgM nature of the mAb it was not possible to enrich the antigen by IP. Preliminary attempts to biochemically purify the endogenously expressed protein from the tissue, gave promising results but could not be completed due to lack of time. Thus biochemical purification of the protein seems possible in order to facilitate its identification by mass spectrometry. Several other mAbs were studied for their staining pattern on cryosections and whole mounts of Drosophila brains. However, many of these mAbs stained very few structures in the brain, which indicated that only a very limited amount of protein would be available as starting material. Because these antibodies did not produce signals on Western blots, which made it impossible to enrich the antigens by electrophoretic methods, we did not attempt their purification. However, the specific localization of these proteins makes them highly interesting and calls for their further characterization, as they may play a highly specialized role in the development and/or function of the neural circuits they are present in. The purification and identification of such low expression proteins would need novel methods of enrichment of the stained structures.},
  subject      = {Taufliege},
  language  = {en}
}
@phdthesis{Heisig2011,
  author    = {Heisig, Julia},
  title     = {Identifizierung neuer Zielgene der Hey bHLH Transkriptionsfaktoren},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-65053},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2011},
  abstract  = {Der Notch Signalweg spielt w{\"a}hrend der Embryonalentwicklung eine zentrale Rolle in der Spezifizierung des Zellschicksales, der Proliferation und der Kommunikation benachbarter Zellen. Die Hey bHLH Transkriptionsfaktoren sind Zielgene des Notch-Signalweges und besitzen wichtige Funktionen in der kardiovaskul{\"a}ren Entwicklung. Hey2 Knockout (KO) M{\"a}use und Hey1/HeyL Doppelknockout-M{\"a}use (DKO) sind gekennzeichnet durch eine fehlerhafte Ausbildung der Herzscheidewand und der Herzklappen und durch eine unzureichende Differenzierung w{\"a}hrend der Blutgef{\"a}ßentwicklung. Ziel dieser Arbeit war es, neue Zielgene der Hey Proteine zu finden, um ihre Funktion in der Organentwicklung und die Auspr{\"a}gung der Hey KO Maus-Ph{\"a}notypen besser verstehen zu k{\"o}nnen. Dazu wurde als Methode eine Kombination aus Microarray-Analyse und Chromatinimmunpr{\"a}zipitation (ChIP) gew{\"a}hlt, um gleichzeitig einen {\"U}berblick {\"u}ber die regulierten Zielgene und der direkt gebundenen Promotoren zu gewinnen. Als Zellkulturmodell wurden HEK293-Zellen genutzt, die doxyzyklin-induzierbar Flag-markiertes Hey1, bzw. Hey2 Protein {\"u}berexprimieren. Eine Microarray-Analyse nach {\"U}berexpression von Hey1, bzw. Hey2 ergab insgesamt ca. 100 bis zu 5-fach herunterregulierte Zielgene und nur f{\"u}r Hey2 15 Gene, die st{\"a}rker als 2-fach hochreguliert waren. Eine ChIP mit αFlag-Antik{\"o}rper zeigte eine direkte DNA-Bindung von Hey1, bzw. Hey2, im proximalen Promotorbereich von 4 herunterregulierten Zielgenen (HEY1, BMP2, KLF10 und FOXC1). Ist jedoch die DNA-bindende basische Dom{\"a}ne des Hey1-Proteins deletiert, bzw. durch Aminos{\"a}ureaustausche (3 Arginine zu 3 Lysine) vermutlich nicht mehr DNA-bindend, kann eine Herunterregulation der Zielgene nach {\"U}berexpression der Hey1-Mutanten nicht mehr festgestellt werden. Ebenso kann eine Bindung der Hey1-Mutanten an die ausgew{\"a}hlten Promotoren von HEY1, BMP2, KLF10 oder FOXC1 mit ChIP nicht mehr nachgewiesen werden. Dies deutet darauf hin, dass die basische Dom{\"a}ne essentiell f{\"u}r die DNA-Bindung und f{\"u}r die Funktion der Hey Proteine ist. Mit ChIP-PET und anschließender Hochdurchsatz-Sequenzierung wurde ein genomweiter Screen der Hey1- und der Hey2-Bindungsstellen in HEK293-Zellen durchgef{\"u}hrt. F{\"u}r Hey1 wurden 1453 Zielgene, f{\"u}r Hey2 4288 Zielgene bestimmt, wobei 1147 Gene gemeinsame Zielgene von Hey1 und Hey2 waren. Obwohl die Bindungsstellen in 5'- und 3'-Richtung von kodierenden Sequenzen und auch in Exons und Introns lokalisiert waren, waren 55 \%, bzw. 49 \% aller Bindungsstellen f{\"u}r Hey1, bzw. Hey2 im proximalen Promotorbereich von -0,5 kb und im ersten Exon lokalisiert. Eine in silico Analyse des Bindemotivs deutete auf eine repetitive GC-haltige Sequenz hin, die vermutlich in CpG Inseln lokalisiert ist. Diese Ergebnisse weisen auf eine direkte Regulation der Transkriptionsmaschinerie durch die Hey Proteine hin. Ein Vergleich der Zielgene aus den Microarray-Analysen mit den ChIP-PET Daten zeigte einen hohen Anteil an herunterregulierten Genen mit Bindestellen, die direkt von Hey gebunden waren. W{\"a}hrend 60 \% der herunterregulierten Hey2 Zielgene in der ChIP-PET Analyse eine direkte DNA-Bindung zeigen, weisen nur 20 \% der hochregulierten Gene Bindestellen f{\"u}r Hey2 auf. Dies spricht f{\"u}r eine {\"u}berwiegende Repressorfunktion der Hey Proteine. Um zu {\"u}berpr{\"u}fen, inwieweit die Hey Proteine zelltypspezifisch verschiedene Zielgene regulieren, wurden embryonale Stammzellen (ES-Zellen) generiert, die ebenfalls doxyzyklin-induzierbar Hey1, bzw. Hey2 {\"u}berexprimieren. Diese ES-Zellen konnten effektiv zu Kardiomyozyten differenziert werden, so dass auch in diesen Zellen eine Hey {\"U}berexpression induziert und somit eine Genexpressionsanalyse durchgef{\"u}hrt werden konnte. Microarray Analysen der ES-Zellen und Kardiomyozyten ergaben mehr hoch- als herunterregulierte Gene im Vergleich zu HEK293-Zellen. Die {\"U}berlappung an gemeinsam regulierten Zielgenen in HEK293, ES-Zellen und Kardiomyozyten war sehr gering. Nur zwei Hey2-Zielgene wurden gleichzeitig in HEK293 und ES-Zellen st{\"a}rker als 2-fach reguliert (Hes1, Zic2). Diese geringe {\"U}berlappung deutet auf ein enges zelltypspezifische Regulationspotential hin. Eine Genontologie-Analyse aller Zielgene zeigte Interaktionen der Hey Proteine mit verschiedenen Signalwegen (z.B. TGFβ-, Id- oder Wnt-Signalweg), die alle unersetzlich in fr{\"u}hen Entwicklungsprozessen sind. Diese Ergebnisse deuten darauf hin, dass die Hey Proteine zelltypspezifisch die Expression von Genen aus verschiedenen Signalwegen beeinflussen und modulieren k{\"o}nnen. Weiterhin er{\"o}ffnen diese Daten neue M{\"o}glichkeiten f{\"u}r zuk{\"u}nftige Forschung, um die Rolle der Hey Proteine in der fr{\"u}hen Organentwicklung genauer ergr{\"u}nden.},
  subject      = {Gen notch},
  language  = {de}
}
@phdthesis{Kapustjansky2011,
  author    = {Kapustjansky, Alexander},
  title     = {In vivo imaging and optogenetic approach to study the formation of olfactory memory and locomotor behaviour in Drosophila melanogaster},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-69535},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2011},
  abstract  = {Understanding of complex interactions and events in a nervous system, leading from the molecular level up to certain behavioural patterns calls for interdisciplinary interactions of various research areas. The goal of the presented work is to achieve such an interdisciplinary approach to study and manipulate animal behaviour and its underlying mechanisms. Optical in vivo imaging is a new constantly evolving method, allowing one to study not only the local but also wide reaching activity in the nervous system. Due to ease of its genetic accessibility Drosophila melanogaster represents an extraordinary experimental organism to utilize not only imaging but also various optogenetic techniques to study the neuronal underpinnings of behaviour. In this study four genetically encoded sensors were used to investigate the temporal dynamics of cAMP concentration changes in the horizontal lobes of the mushroom body, a brain area important for learning and memory, in response to various physiological and pharmacological stimuli. Several transgenic lines with various genomic insertion sites for the sensor constructs Epac1, Epac2, Epac2K390E and HCN2 were screened for the best signal quality, one line was selected for further experiments. The in vivo functionality of the sensor was assessed via pharmacological application of 8-bromo-cAMP as well as Forskolin, a substance stimulating cAMP producing adenylyl cyclases. This was followed by recording of the cAMP dynamics in response to the application of dopamine and octopamine, as well as to the presentation of electric shock, odorants or a simulated olfactory signal, induced by acetylcholine application to the observed brain area. In addition the interaction between the shock and the simulated olfactory signal by simultaneous presentation of both stimuli was studied. Preliminary results are supporting a coincidence detection mechanism at the level of the adenylyl cyclase as postulated by the present model for classical olfactory conditioning. In a second series of experiments an effort was made to selecticvely activate a subset of neurons via the optogenetic tool Channelrhodopsin (ChR2). This was achieved by recording the behaviour of the fly in a walking ball paradigm. A new method was developed to analyse the walking behaviour of the animal whose brain was made optically accessible via a dissection technique, as used for imaging, thus allowing one to target selected brain areas. Using the Gal4-UAS system the protocerebral bridge, a substructure of the central complex, was highlighted by expressing the ChR2 tagged by fluorescent protein EYFP. First behavioural recordings of such specially prepared animals were made. Lastly a new experimental paradigm for single animal conditioning was developed (Shock Box). Its design is based on the established Heat Box paradigm, however in addition to spatial and operant conditioning available in the Heat Box, the design of the new paradigm allows one to set up experiments to study classical and semioperant olfactory conditioning, as well as semioperant place learning and operant no idleness experiments. First experiments involving place learning were successfully performed in the new apparatus.},
  subject      = {Taufliege},
  language  = {en}
}
@phdthesis{Beisser2011,
  author    = {Beisser, Daniela},
  title     = {Integrated functional analysis of biological networks},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-70150},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2011},
  abstract  = {In recent years high-throughput experiments provided a vast amount of data from all areas of molecular biology, including genomics, transcriptomics, proteomics and metabolomics. Its analysis using bioinformatics methods has developed accordingly, towards a systematic approach to understand how genes and their resulting proteins give rise to biological form and function. They interact with each other and with other molecules in highly complex structures, which are explored in network biology. The in-depth knowledge of genes and proteins obtained from high-throughput experiments can be complemented by the architecture of molecular networks to gain a deeper understanding of biological processes. This thesis provides methods and statistical analyses for the integration of molecular data into biological networks and the identification of functional modules, as well as its application to distinct biological data. The integrated network approach is implemented as a software package, termed BioNet, for the statistical language R. The package includes the statistics for the integration of transcriptomic and functional data with biological networks, the scoring of nodes and edges of these networks as well as methods for subnetwork search and visualisation. The exact algorithm is extensively tested in a simulation study and outperforms existing heuristic methods for the calculation of this NP-hard problem in accuracy and robustness. The variability of the resulting solutions is assessed on perturbed data, mimicking random or biased factors that obscure the biological signal, generated for the integrated data and the network. An optimal, robust module can be calculated using a consensus approach, based on a resampling method. It summarizes optimally an ensemble of solutions in a robust consensus module with the estimated variability indicated by confidence values for the nodes and edges. The approach is subsequently applied to two gene expression data sets. The first application analyses gene expression data for acute lymphoblastic leukaemia (ALL) and differences between the subgroups with and without an oncogenic BCR/ABL gene fusion. In a second application gene expression and survival data from diffuse large B-cell lymphomas are examined. The identified modules include and extend already existing gene lists and signatures by further significant genes and their interactions. The most important novelty is that these genes are determined and visualised in the context of their interactions as a functional module and not as a list of independent and unrelated transcripts. In a third application the integrative network approach is used to trace changes in tardigrade metabolism to identify pathways responsible for their extreme resistance to environmental changes and endurance in an inactive tun state. For the first time a metabolic network approach is proposed to detect shifts in metabolic pathways, integrating transcriptome and metabolite data. Concluding, the presented integrated network approach is an adequate technique to unite high-throughput experimental data for single molecules and their intermolecular dependencies. It is flexible to apply on diverse data, ranging from gene expression changes over metabolite abundances to protein modifications in a combination with a suitable molecular network. The exact algorithm is accurate and robust in comparison to heuristic approaches and delivers an optimal, robust solution in form of a consensus module with confidence values. By the integration of diverse sources of information and a simultaneous inspection of a molecular event from different points of view, new and exhaustive insights into biological processes can be acquired.},
  subject      = {Bioinformatik},
  language  = {en}
}
@phdthesis{Zirkel2011,
  author    = {Zirkel, Janina},
  title     = {Malaria in Burkina Faso - Chancen f{\"u}r eine neue Strategie mit Hilfe von Methylenblau},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-72583},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2011},
  abstract  = {Trotz betr{\"a}chtlicher Anstrengung Malaria zu kontrollieren bzw. zu eradizieren, stellt die Krankheit weiterhin eines der gravierendsten Gesundheitsprobleme unseres Jahrtausends dar. Malaria fordert j{\"a}hrlich zwischen 0,7 und 2,7 Millionen Menschenleben, beeintr{\"a}chtigt schulische und soziale Entwicklung und hemmt erheblich das Wirtschaftswachstum der betroffenen L{\"a}nder. In Burkina Faso, einem der {\"a}rmsten L{\"a}nder der Welt, ist Malaria eines der gr{\"o}ßten Gesundheitsprobleme und ca. ein Drittel aller Todesf{\"a}lle werden hier Malaria angelastet. Die sich weiter ausbreiteten Resistenzen gegen die g{\"a}ngigen Malariamedikamente machen die Bek{\"a}mpfung der Malaria zunehmend schwierig. Artemisinin basierende Kombinationstherapien sind aktuell, trotz relativ hoher Therapiekosten und erster Resistenzen, die Erstlinien Behandlung. Effektive und billige neue Kombinationstherapien werden dringend ben{\"o}tigt. In dieser Doktorarbeit wurde das Resistenzpotential von Artemisinin modelliert. Die Homologiemodellierungen unterst{\"u}tzen die These von Krishna und Kollegen von SERCA als einzige Zielstruktur von Artemisinin. Des Weiteren wurde Methylenblau als neues altes Malariamittel evaluiert. Methylenblau ist das erste gegen Malaria eingesetzte Medikament, agiert als ein prooxidatives Agens und inhibiert selektiv und nicht-kompetitiv die P. falciparum Glutathion Reduktase. Die additiven und multiplen Zielprotein Effekte von Methylenblau wurden experimentell untersucht und hier in einem bioinformatischem Modell getestet. Unter dem Einfluss von Methylenblau werden einige Schl{\"u}sselenzyme des Redoxstoffwechsels in ihrer Aktivit{\"a}t beeintr{\"a}chtigt und der Parasit wird verst{\"a}rkt oxidativem Stress ausgesetzt. Des Weiteren konnte in dieser Dr. Arbeit eine starke Kooperationsbereitschaft der urbanen und l{\"a}ndlichen Bev{\"o}lkerung an zuk{\"u}nftigen Malaria Projekten gezeigt werden.},
  subject      = {Methylenblau},
  language  = {de}
}
@phdthesis{Saumweber2011,
  author    = {Saumweber, Timo},
  title     = {Mechanism of Learning and Plasticity in Larval Drosophila},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-66354},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2011},
  abstract  = {According to a changing environment it is crucial for animals to make experience and learn about it. Sensing, integrating and learning to associate different kinds of modalities enables animals to expect future events and to adjust behavior in the way, expected as the most profitable. Complex processes as memory formation and storage make it necessary to investigate learning and memory on different levels. In this context Drosophila melanogaster represents a powerful model organism. As the adult brain of the fly is still quite complex, I chose the third instar larva as model - the more simple the system, the easier to isolate single, fundamental principles of learning. In this thesis I addressed several kinds of questions on different mechanism of olfactory associative and synaptic plasiticity in Drosophila larvae. I focused on short-term memory throughout my thesis. First, investigating larval learning on behavioral level, I developed a one-odor paradigm for olfactory associative conditioning. This enables to estimate the learnability of single odors, reduces the complexity of the task and simplify analyses of "learning mutants". It further allows to balance learnability of odors for generalization-type experiments to describe the olfactory "coding space". Furthermore I could show that innate attractiveness and learnability can be dissociated and found finally that paired presentation of a given odor with reward increase performance, whereas unpaired presentations of these two stimuli decrease performance, indicating that larva are able to learn about the presence as well as about the absence of a reward. Second, on behavioral level, together with Thomas Niewalda and colleagues we focussed on salt processing in the context of choice, feeding and learning. Salt is required in several physiological processes, but can neither be synthesized nor stored. Various salt concentrations shift the valence from attraction to repulsion in reflexive behaviour. Interestingly, the reinforcing effect of salt in learning is shifted by more than one order of magnitude toward higher concentrations. Thus, the input pathways for gustatory behavior appear to be more sensitive than the ones supporting gustatory reinforcement, which is may be due to the dissociation of the reflexive and the reinforcing signalling pathways of salt. Third, in cooperation with Michael Schleyer we performed a series of behavioral gustatory, olfactory preference tests and larval learning experiments. Based on the available neuroanatomical and behavioral data we propose a model regarding chemosensory processing, odor-tastant memory trace formation and the 'decision' like process. It incorporates putative sites of interaction between olfactory and gustatory pathways during the establishment as well as behavioral expression of odor-tastant memory. We claim that innate olfactory behavior is responsive in nature and suggest that associative conditioned behavior is not a simple substitution like process, but driven more likely by the expectation of its outcome. Fourth, together with Birgit Michels and colleagues we investigated the cellular site and molecular mode of Synapsin, an evolutionarily conserved, presynaptic vesicular phosphoprotein and its action in larval learning. We confirmed a previously described learning impairment upon loss of Synapsin. We localized this Synapsin dependent memory trace in the mushroom bodies, a third-order "cortical" brain region, and could further show on molecular level, that Synapsin is as a downstream element of the AC-cAMP-PKA signalling cascade. This study provides a comprehensive chain of explanation from the molecular level to an associative behavioral change. Fifth, in the main part of my thesis I focused on molecular level on another synaptic protein, the Synapse associated protein of 47kDa (Sap47) and its role in larval behavior. As a member of a phylogenetically conserved gene family of hitherto unknown function. It is localized throughout the whole neuropil of larval brains and associated with presynaptic vesicles. Upon loss of Sap47 larvae exhibit normal sensory detection of the to-be-associated stimuli as well as normal motor performance and basic synaptic transmission. Interestingly, short-term plasticity is distorted and odorant-tastant associative learning ability is reduced. This defect in associative function could be rescued by restoring Sap47 expression. Therefore, this report is the first to suggest a function for Sap47 and specifically argues that Sap47 is required for synaptic as well as for behavioral plasticity in Drosophila larva. This prompts the question whether its homologs are required for synaptic and behavioral plasticity also in other species. Further in the last part of my thesis I contributed to the study of Ayse Yarali. Her central topic was the role of the White protein in punishment and relief learning in adult flies. Whereas stimuli that precede shock during training are subsequently avoided as predictors for punishment, stimuli that follow shock during training are later on approached, as they predict relief. Concerning the loss of White we report that pain-relief learning as well as punishment learning is changed. My contribution was a comparison between wild type and the white1118 mutant larvae in odor-reward learning. It turned out that a loss of White has no effect on larval odorant-tastant learning. This study, regarding painrelief learning provides the very first hints concerning the genetic determinants of this form of learning.},
  subject      = {Taufliege},
  language  = {en}
}
@phdthesis{Philippi2011,
  author    = {Philippi, Nicole},
  title     = {Modellierung von Signalwegen in verschiedenen biologischen Systemen},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-57690},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2011},
  abstract  = {Die Apoptose der Leberzellen ist abh{\"a}ngig von externen Signalen wie beispielsweise Komponenten der Extrazellul{\"a}ren Matrix sowie anderen Zell-Zell-Kontakten, welche von einer Vielfalt und Vielzahl an Knoten verarbeitet werden. Einige von ihnen wurden im Rahmen dieser Arbeit auf ihre Systemeffekte hin unter- sucht. Trotz verschiedener {\"a}ußerer Einfl{\"u}sse und nat{\"u}rlicher Selektion ist das System daraufhin optimiert, eine kleine Anzahl verschiedener und klar voneinander unterscheidbarer Systemzust{\"a}nde anzunehmen. Die verschiedenartigen Einfl{\"u}sse und Crosstalk-Mechanismen dienen der Optimierung der vorhandenen Systemzust{\"a}nde. Das in dieser Arbeit vorgestellte Modell zeigt zwei apoptotische sowie zwei nicht-apoptotische stabile Systemzust{\"a}nde, wobei der Grad der Aktivierung eines Knotens bis zu dem Moment stark variieren kann, in welchem der absolute Systemzustand selbst ver{\"a}ndert wird (Philippi et al., BMC Systems Biology,2009) [1]. Dieses Modell stellt zwar eine Vereinfachung des gesamten zellul{\"a}ren Netzwerkes und seiner verschiedenen Zust{\"a}nde dar, ist aber trotz allem in der Lage, unabh{\"a}ngig von detaillierten kinetischen Daten und Parametern der einzelnen Knoten zu agieren. Gleichwohl erlaubt das Modell mit guter qualitativer {\"U}bereinstimmung die Apoptose als Folge einer Stimulation mit FasL zu modellieren. Weiterhin umfasst das Modell sowohl Crosstalk-M{\"o}glichkeiten des Collagen-Integrin-Signalwegs, ebenso ber{\"u}cksichtigt es die Auswirkungen der genetischen Deletion von Bid sowie die Konsequenzen einer viralen Infektion. In einem zweiten Teil werden andere Anwendungsm{\"o}glichkeiten dargestellt. Hormonale Signale in Pflanzen, Virusinfektionen und intrazellul{\"a}re Kommunikation werden semi-quantitativ modelliert. Auch hier zeigte sich eine gute Ubereinstimmung der Modelle mit den experimentellen Daten.},
  subject      = {Systembiologie},
  language  = {de}
}
@phdthesis{Shityakov2011,
  author    = {Shityakov, Sergey},
  title     = {Molecular modelling and simulation of retroviral proteins and nanobiocomposites},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-56960},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2011},
  abstract  = {Molecular modelling and simulation are powerful methods in providing important in-formation on different biological systems to elucidate their structural and functional proper-ties, which cannot be determined in experiment. These methods are applied to analyse versa-tile biological systems: lipid membrane bilayers stabilized by an intercalated single wall carbon nanotube and retroviral proteins such as HIV protease and integrase. HIV-1 integrase has nuclear localization signals (NLS) which play a crucial role in nuclear import of viral preintegration complex (PIC). However, the detailed mechanisms of PIC formation and its nuclear transport are not known. Previously it was shown that NLSs bind to the cell transport machinery e.g. proteins of nuclear pore complex such as transportins. I investigated the interaction of this viral protein HIV-1 integrase with proteins of the nuclear pore complex such as transportin-SR2 (Shityakov et al., 2010). I showed that the transportin-SR2 in nuclear import is required due to its interaction with the HIV-1 integrase. I analyzed key domain interaction, and hydrogen bond formation in transportin-SR2. These results were discussed in comparison to other retroviral species such as foamy viruses to better understand this specific and efficient retroviral trafficking route. The retroviral nuclear import was next analyzed in experiments regarding the retroviral ability to infect nondividing cells. To accomplish the gene transfer task successfully, ret-roviruses must efficiently transduce different cell cultures at different phases of cell cycle. However, promising and safe foamy viral vectors used for gene transfer are unable to effi-ciently infect quiescent cells. This drawback was due to their inability to create a preintegra-tion complex (PIC) for nuclear import of retroviral DNA. On the contrary, the lentiviral vec-tors are not dependant on cell cycle. In the course of reverse transcription the polypurine tract (PPT) is believed to be crucial for PIC formation. In this thesis, I compared the transduction frequencies of PPT modified FV vectors with lentiviral vectors in nondividing and dividing alveolar basal epithelial cells from human adenocarcinoma (A549) by using molecular cloning, transfection and transduction techniques and several other methods. In contrast to lentiviral vectors, FV vectors were not able to effi-ciently transduce nondividing cell (Shityakov and Rethwilm, unpublished data). Despite the findings, which support the use of FV vectors as a safe and efficient alternative to lentiviral vectors, major limitation in terms of foamy-based retroviral vector gene transfer in quiescent cells still remains. Many attempts have been made recently to search for the potential molecules as pos-sible drug candidates to treat HIV infection for over decades now. These molecules can be retrieved from chemical libraries or can be designed on a computer screen and then synthe-sized in a laboratory. Most notably, one could use the computerized structure as a reference to determine the types of molecules that might block the enzyme. Such structure-based drug design strategies have the potential to save off years and millions of dollars compared to a more traditional trial-and-error drug development process. After the crystal structure of the HIV-encoded protease enzyme had been elucidated, computer-aided drug design played a pivotal role in the development of new compounds that inhibit this enzyme which is responsible for HIV maturation and infectivity. Promising repre-sentatives of these compounds have recently found their way to patients. Protease inhibitors show a powerful sustained suppression of HIV-1 replication, especially when used in combi-nation therapy regimens. However, these drugs are becoming less effective to more resistant HIV strains due to multiple mutations in the retroviral proteases. In computational drug design I used molecular modelling methods such as lead ex-pansion algorithm (Tripos®) to create a virtual library of compounds with different binding affinities to protease binding site. In addition, I heavily applied computer assisted combinato-rial chemistry approaches to design and optimize virtual libraries of protease inhibitors and performed in silico screening and pharmacophore-similarity scoring of these drug candidates. Further computational analyses revealed one unique compound with different protease bind-ing ability from the initial hit and its role for possible new class of protease inhibitors is dis-cussed (Shityakov and Dandekar, 2009). A number of atomistic models were developed to elucidate the nanotube behaviour in lipid bilayers. However, none of them provided useful information for CNT effect upon the lipid membrane bilayer for implementing all-atom models that will allow us to calculate the deviations of lipid molecules from CNT with atomistic precision. Unfortunately, the direct experimental investigation of nanotube behaviour in lipid bilayer remains quite a tricky prob-lem opening the door before the molecular simulation techniques. In this regard, more de-tailed multi-scale simulations are needed to clearly understand the stabilization characteristics of CNTs in hydrophobic environment. The phenomenon of an intercalated single-wall carbon nanotube in the center of lipid membrane was extensively studied and analyzed. The root mean square deviation and root mean square fluctuation functions were calculated in order to measure stability of lipid mem-branes. The results indicated that an intercalated carbon nanotube restrains the conformational freedom of adjacent lipids and hence has an impact on the membrane stabilization dynamics (Shityakov and Dandekar, 2011). On the other hand, different lipid membranes may have dissimilarities due to the differing abilities to create a bridge formation between the adherent lipid molecules. The results derived from this thesis will help to develop stable nanobiocom-posites for construction of novel biomaterials and delivery of various biomolecules for medi-cine and biology.},
  subject      = {Kohlenstoff},
  language  = {en}
}
@phdthesis{Dippacher2011,
  author    = {Dippacher, Sonja},
  title     = {Morphologische und molekularbiologische Untersuchungen zur Bedeutung der Serin-Threonin-Proteinkinase SRPK79D in Drosophila melanogaster},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-70937},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2011},
  abstract  = {Die intakte Signal{\"u}bertragung im animalischen Nervensystem erfordert eine an richtiger Stelle ausgebildete funktionsf{\"a}hige Synapse zwischen zwei Nervenzellen bzw. zwischen Nerv und Muskel. In der vorliegenden Arbeit wurde eine Mutante von Drosophila melanogaster untersucht, bei der es zu Ver{\"a}nderungen der Verteilung eines wichtigen Organisationsproteins der synaptischen aktiven Zone kommt. Ein wichtiges Ergebnis der Untersuchungen ist die Beobachtung, dass es in der Mutante zu einer ektopen Ausbildung von Elementen aktiver Zonen in Axonen kommt. In den Arbeitsgruppen von E. Buchner und S. Sigrist ist bereits das Protein Bruchpilot (BRP) charakterisiert worden, das Bestandteil der pr{\"a}synaptischen Ribbons, bei Drosophila als T-bars bezeichnet, ist. Bei der Suche nach Interaktionspartnern von BRP, ist eine Serin-Arginin-Protein spezifische Kinase SRPK79D entdeckt worden, die offenbar an der Regulation des Aufbaus der Tbars beteiligt ist (Nieratschker et al., 2009). Es gibt vier verschiedene Isoformen der Kinase. Werden nur zwei Isoformen der Kinase (SRPK79D-RB und -RE) exprimiert bzw. das Gen der Kinase komplett ausgeschaltet, findet man Ansammlungen von BRP als immunreaktive Aggregate in der Immunfluoreszenz- F{\"a}rbung von larvalen Motoneuron-Axonen (Nieratschker, 2008). Es ist unser {\"u}bergeordnetes Ziel, die Funktion und den molekularen Signalweg der Kinase SRPK79D zu entschl{\"u}sseln. Ein Ziel der vorliegenden Arbeit war es, PB-Protein in Reinform f{\"u}r eine Affinit{\"a}tsreinigung eines PB-Antik{\"o}rpers zu gewinnen, um in nachfolgenden Untersuchungen die Lokalisation dieser Kinase-Isoform zu untersuchen. Die Proteinreinigung war erfolgreich, aber es gelang nicht, eine f{\"u}r eine Affinit{\"a}tsreinigung ausreichende Menge des Proteins zu isolieren. Ein weiterer Versuch, Lokalisationsuntersuchungen zur Expression der Kinase in Drosophila- Embryonen durchzuf{\"u}hren, war ebenfalls nicht erfolgreich. Obwohl die Herstellung einer f{\"u}r die SRPK79D mRNA spezifischen RNA Sonde f{\"u}r die in-Situ-Hybridisierung gelang, war die Sensitivit{\"a}t dieser Sonde nicht hoch genug, um die Lokalisation vornehmen zu k{\"o}nnen. Eindeutige und aufschlussreiche Ergebnisse dagegen ergab die Untersuchung der Ultrastruktur der BRP-Ansammlungen in den larvalen Motornerven. Als deren Korrelat fanden sich elektronenmikroskopisch charakteristische Ansammlungen elektronendichter intraaxonaler Strukturen, deren Form {\"A}hnlichkeiten zu T-bars aufwies und die von Vesikeln umgeben waren. Die elektronendichten Strukturen zeigten zahlreiche Formvariationen, die wie Ansammlungen von T-bars nebeneinander bzw. „miteinander verklebte" T-bars oder wie zerst{\"o}rte T-bars aussahen. In einer nachfolgenden Studie wurde durch eine immun-elektronenmikroskopische Untersuchung gezeigt, dass diese Strukturen in der Tat BRP enthalten (Nieratschker et al., 2009). Ergebnis der Untersuchungen der vorliegenden Arbeit war der Nachweis, dass prinzipiell {\"a}hnliche Aggregate auch im Wildtyp gelegentlich gefunden werden, dass sie aber in Mutanten signifikant h{\"a}ufiger vorkommen und auch einen signifikant h{\"o}heren Durchmesser aufweisen. Doppelimmunreaktionen mit Antik{\"o}rpern, die den C- bzw. N-terminalen Bereich von BRP erkennen, belegten dar{\"u}ber hinaus, dass in den Aggregaten das vollst{\"a}ndige BRP-Protein vorliegt. Angeregt durch die Ultrastrukturbefunde von mit den elektronendichten Strukturen in den Aggregaten assoziierten Vesikeln wurde in weiteren Doppelimmunreaktionen untersucht, ob ein typisches Protein synaptischer Vesikel neuromuskul{\"a}rer Synapsen in Drosophila, der vesikul{\"a}re Glutamattransporter (DVGlut), in den BRP-Ansammlungen nachweisbar ist. W{\"a}hrend Kolokalisation von BRP und DVGlut in aktiven Zonen pr{\"a}synaptischer Boutons nachgewiesen werden konnte, war der Vesikelmarker in BRP-Aggregaten nicht kolokalisiert. Die Ergebnisse belegen, dass die Kinase SRPK79D f{\"u}r die Vermeidung einer ektopen Bildung von BRP-enthaltenden, elektronenmikroskopisch atypischen aktiven Zonen {\"a}hnelnden Strukturen in larvalen Motoneuronaxonen notwendig ist. Die in diesen Aggregaten regelm{\"a}ßig zu beobachtenden Vesikel {\"a}hneln morphologisch synaptischen Vesikeln, besitzen aber keine daf{\"u}r typischen Vesikelmarker.},
  subject      = {Bruchpilot},
  language  = {de}
}