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Pluripotency describes the ability of stem cells to form every cell type of the body.. Pluripotent stem cells are e.g. embryonic stem cells (ESCs), but also the so called induced pluripotent stem cells (IPS cells), that are generated by reprogramming differentiated somatic cells into a pluripotent state. Furthermore, it has been shown that spermatogonia (SG) derived from adult testes of mouse or human are pluripotent. Because of their ability to differentiate into every somatic cell type, pluripotent stem cells have a unique status in research and regenerative medicine. For the latter, they offer a valuable opportunity to replace destroyed tissues or organs. For basic research, stem cells represent a useful system to study differentiation or developmental processes that are difficult to access in the physiological situation e.g. during embryogenesis. Both applications, however, require methods that allow efficient and directed differentiation of stem cells into defined specialized cell types. This study first aims to investigate the differentiation potential of SG derived from the teleost fish medaka (Oryzias latipes). My results demonstrate that medaka SG are able to form different somatic cell types, namely adipocytes, melanocytes, osteoblasts, and neurons. This indicates that medake SG have retained a broad differentiation potential suggesting that pluripotency is not restricted to mouse and human SG but might be conserved among vertebrates. Next, I wanted to establish a differentiation method that is solely based on ectopic expression of genes known to be essential for the formation of certain somatic cell types – so called master regulators (MRs). My findings show that ectopic expression of the melanocyte-specific transcription factor mitf-m that has previously been shown to induce differentiation of medaka ESCs into pigment cells resulted in the formation of the same cell type in medaka SG. This approach could be used to generate other somatic cell types. Thus, ectopic expression of the MRs cbfa1 and mash1 in MF-SG was sufficient to induce differentiation into osteoblasts and neurons, respectively. Interestingly, these differentiation processes included the activation of genes that are expressed earlier during embryogenesis than the differentiation-inducing MR. Furthermore, my findings show that the approach of MR-induced differentiation can be transferred to mammalian stem cell systems. Ectopic expression of the neural transcription factor ngn2 was sufficient to induce efficient and rapid differentiation of neurons in mouse ESCs. This differentiation process also included the induction of genes that in vivo are activated at earlier stages that ngn2. By generating a transgenic cell line allowing induction of ectopic ngn2 expression, it was possible to obtain a relatively pure culture of functional neurons. Ngn2-induced differentiation did not require any additional signals and occurred even under pluripotency promoting conditions. Moreover, ectopic expression of ngn2 did also induce the formation of cells with neuronal morphology in IPS cells indicating that MR-induced differentiation is operative in different stem cell types. Furthermore, protein transduction of Ngn2 into mouse ESCs also resulted in a neuronal differentiation process up to the appearance of neural precursor cells. Last, my results show that MR-induced differentiation can also be used to generate other cell types than neurons from mouse ESCs. Myoblasts and macrophage-like cells were generated by ectopic expression of the MRs myoD and cebpa, respectively. Using transgenic cell lines enabling induction of MR expression it was possible to obtain mixed cultures with two different differentiation processes occurring in parallel. Altogether this study shows that ectopic expression of single genes is sufficient to induce directed differentiation of stem cells into defined cell types. The feasibility of this approach was demonstrated for different MRs and consequently different somatic cell types. Furthermore, MR induced differentiation was operative in different stem cell types from fish and mouse. Thus, one can conclude that certain genes are able to define cell fates in in vitro stem cell systems and that this cell fate defining potential appears to be a conserved feature in vertebrates. These findings therefore provide new insights in the role of MRs in cell commitment and differentiation processes. Furthermore, this study presents a new method to induce directed differentiation of stem cells that offers several advantages regarding efficiency, rapidness, and reproducibility. MR-induced differentiation therefore represents a promising tool for both stem cell research and regenerative medicine.
Soziale Insekten wie die Honigbiene (Apis mellifera) besitzen ein breites Spektrum an Abwehrmechanismen gegen Pathogenbefall, sowohl auf der Ebene der Kolonie (soziale Immunität) als auch auf der Stufe des Individuums (angeborenes Immunsystem). Die Hauptaufgabe der relativ kurzlebigen Drohnen besteht in der Begattung von Jungköniginnen. Daher stellte sich die Frage, ob auch die Drohnen ähnlich den Arbeiterinnen mit energieaufwendigen Immunreaktionen auf Infektionen reagieren. Wie im Folgenden beschrieben, konnte ich nachweisen, dass Drohnen eine ausgeprägte Immunkompetenz besitzen. Das angeborene Immunsystem setzt sich aus humoralen und zellulären Abwehrreaktionen zusammen. Bei der humoralen Immunantwort werden bestimmte evolutionär konservierte Signalkaskaden aktiviert, an deren Ende die Expression einer Vielzahl von antimikrobiellen Peptiden (AMPs) und immunspezifischen Proteinen (IRPs) steht. Zur Analyse der humoralen Immunantwort wurden von mir zum einen Hemmhoftests durchgeführt, um die gesamte antimikrobielle Aktivität der Haemolymphe nach artifizieller Infektion zu ermitteln und zum anderen spezifische AMPs bzw. IRPs identifiziert. Hierzu wurden die Haemolymphproteine in ein- oder zwei-dimensionalen Polyacrylamidgelen aufgetrennt und ausgewählte Proteinbanden bzw. -spots mittels nano HPLC/Massenspektrometrie analysiert. Die Hauptkomponenten des zellulären Immunsystems sind Wundheilung, Phagozytose, Einkapselung und Nodulation. In meiner Arbeit habe ich zum ersten Mal Noduli bei infizierten Drohnen nachweisen können. Frisch geschlüpfte adulte Drohnen (1d) weisen ein breites Spektrum an Immunreaktionen auf, das sowohl humorale als auch zelluläre Immunantworten umfasst. Nach Infektion mit dem Gram-negativen Bakterium E.coli und verschiedenen bakteriellen Zellwandbestandteilen wie Lipopolysaccharid (LPS), Peptidoglycan (PGN) und 1,3ß-Glucan (Bestandteil von Pilzzellwänden), werden die AMPs Hymenoptaecin, Defensin 1 und Abaecin induziert. Desweiteren exprimieren junge adulte Drohnen eine Reihe hochmolekularer immunspezifischer Proteine (IRPs) wie z.B. Carboxylesterase (CE 1), eine Serinprotease, die möglicherweise an der Prozessierung der Prophenoloxidase beteiligt ist, ein Peptidoglycan-interagierendes Protein (PGRP-S2) und zwei Proteine unbekannter Funktion, IRp42 und IRp30. Parallel zu bekannten bienenspezifischen AMPs wurde ein animales Peptidtoxin (APT) in Drohnenlarven, adulten Drohnen und adulten Hummeln nach E.coli Infektion in der Haemolymphe nachgewiesen. Von dem als OCLP 1 (ω-conotoxin-like protein 1) benannten Peptid war bereits bekannt, dass es in Fischen paralytische und damit toxische Effekte auslöst. Meine Beobachtungen lassen vermuten, dass es sich bei OCLP 1 um ein Peptidtoxin mit antimikrobiellen Eigenschaften und damit um eine neue Klasse von AMPs handelt. Die allgemeine humorale Immunkompetenz scheint während der gesamten Lebensspanne adulter Drohnen (~ 7 Wochen) konstant zu bleiben, wie durch die gleichbleibende antimikrobielle Aktivität im Hemmhoftest gezeigt wurde. Junge Drohnen reagieren auf eine E.coli Infektion mit der Bildung zahlreicher Noduli (~1000 Noduli/Drohn), die vor allem entlang des Herzschlauches zu finden sind. Diese zelluläre Immunantwort nimmt mit dem Alter der Drohnen ab, so dass bei 18 d alten Drohnen nur noch rund 10 Noduli/Drohn gefunden werden. Auf der anderen Seite nimmt die phagozytotische Aktivität bei älteren Drohnen scheinbar zu. In einer Reihe von parallel laufenden Versuchsreihen konnte ich eindrucksvoll zeigen, dass zelluläre Immunreaktionen wie Phagozytose und Nodulation unmittelbar nach bakterieller Infektion einsetzen. Hierbei erreicht die Nodulibildung 8-10 h p.i. eine Plateauphase, wohingegen die humorale Immunantwort erst 6 h p.i. schwach einsetzt, danach stetig zunimmt und noch 72 h p.i. nachweisbar ist. Es ist mir gelungen, eine Methode zur künstlichen Aufzucht von Drohnenlarven zu etablieren. Diese ermöglichte konstante und sterile Versuchsbedingungen zur Untersuchung der Immunreaktionen von Larven. Nach Infektion mit E.coli reagieren Drohnenlarven mit einer starken Aktivierung ihrer humoralen Immunantwort durch die Expression von AMPs, jedoch werden keine hochmolekularen IRPs wie in adulten Drohnen hochreguliert. Zudem ist die Nodulibildung in Larven nur schwach ausgeprägt. Völlig unerwartete Beobachtungen wurden beim Studium der Immunkompetenz von Drohnenpuppen gemacht. Nach Injektion lebender E.coli Zellen in Drohnenpuppen stellte ich eine dramatische Veränderung im Aussehen der Puppen fest. Die Puppen verfärbten sich gräulich schwarz. Genauere Untersuchungen haben dann gezeigt, dass die Drohnenpuppen, wie auch die der Arbeiterinnen, offensichtlich keine zelluläre Abwehrreaktion aktivieren können und die humorale Immunantwort nur sehr schwach ausfällt und viel zu spät einsetzt.
This study was conducted to determine the influence of different stress factors on the honeybee Apis mellifera. The investigation was motivated by previous experiments that suggested the existence of an unspecific defense mechanism causing a generalized change of flight behavior after the onset of different diseases. This mechanism is thought to impede the ability of flight bees to return to their respective colonies thereby removing the disease from the colony over time. During the last years, the existence of such a “suicidal behavior” was supported by further studies. Thus, an unnoticed, potentially highly effective defense mechanism of social insects was revealed whose spectrum of activity and physiological basics require further investigation. Suggesting that the reaction by the bees is unspecific to different diseases as well as to other potential stress factors, this study was designed to investigate the influence of pathogens, insecticides, and different brood rearing temperatures on different parameters like lifespan, foraging activity, and foraging trip duration of worker bees.
Background: In several studies, secondary structures of ribosomal genes have been used to improve the quality of phylogenetic reconstructions. An extensive evaluation of the benefits of secondary structure, however, is lacking. Results: This is the first study to counter this deficiency. We inspected the accuracy and robustness of phylogenetics with individual secondary structures by simulation experiments for artificial tree topologies with up to 18 taxa and for divergency levels in the range of typical phylogenetic studies. We chose the internal transcribed spacer 2 of the ribosomal cistron as an exemplary marker region. Simulation integrated the coevolution process of sequences with secondary structures. Additionally, the phylogenetic power of marker size duplication was investigated and compared with sequence and sequence-structure reconstruction methods. The results clearly show that accuracy and robustness of Neighbor Joining trees are largely improved by structural information in contrast to sequence only data, whereas a doubled marker size only accounts for robustness. Conclusions: Individual secondary structures of ribosomal RNA sequences provide a valuable gain of information content that is useful for phylogenetics. Thus, the usage of ITS2 sequence together with secondary structure for taxonomic inferences is recommended. Other reconstruction methods as maximum likelihood, bayesian inference or maximum parsimony may equally profit from secondary structure inclusion. Reviewers: This article was reviewed by Shamil Sunyaev, Andrea Tanzer (nominated by Frank Eisenhaber) and Eugene V. Koonin. Open peer review: Reviewed by Shamil Sunyaev, Andrea Tanzer (nominated by Frank Eisenhaber) and Eugene V. Koonin. For the full reviews, please go to the Reviewers’ comments section.
Indinavir (Crivaxan®) is a potent inhibitor of the HIV (human immunodeficiency virus) protease. This enzyme has an important role in viral replication and is considered to be very attractive target for new antiretroviral drugs. However, it becomes less effective due to highly resistant new viral strains of HIV, which have multiple mutations in their proteases. For this reason, we used a lead expansion method to create a new set of compounds with a new mode of action to protease binding site. 1300 compounds chemically diverse from the initial hit were generated and screened to determine their ability to interact with protease and establish their QSAR properties. Further computational analyses revealed one unique compound with different protease binding ability from the initial hit and its role for possible new class of protease inhibitors is discussed in this report.
Die Bioinformatik ist eine interdisziplinäre Wissenschaft, welche Probleme aus allen Lebenswissenschaften mit Hilfe computergestützter Methoden bearbeitet. Ihr Ziel ist es, die Verarbeitung und Interpretation großer Datenmengen zu ermöglichen. Zudem unterstützt sie den Designprozess von Experimenten in der Synthetischen Biologie. Die synthetische Biologie beschäftigt sich mit der Generierung neuer Komponenten und deren Eigenschaften, welche durch die Behandlung und Manipulation lebender Organismen oder Teilen daraus entstehen. Ein besonders interessantes Themengebiet hierbei sind Zweikomponenten-Systeme (Two-Component System, TCS). TCS sind wichtige Signalkaskaden in Bakterien, welche in der Lage sind Informationen aus der Umgebung in eine Zelle zu übertragen und darauf zu reagieren. Die vorliegende Dissertation beschäftigt sich mit der Beurteilung, Nutzung und Weiterentwicklung von bioinformatischen Methoden zur Untersuchung von Proteininteraktionen und biologischen Systemen. Der wissenschaftliche Beitrag der vorliegenden Arbeit kann in drei Aspekte unterteilt werden: - Untersuchung und Beurteilung von bioinformatischen Methoden und Weiterführung der Ergebnisse aus der vorhergehenden Diplomarbeit zum Thema Protein-Protein-Interaktionsvorhersagen. - Analyse genereller evolutionärer Modifikationsmöglichkeiten von TCS sowie deren Design und spezifische Unterschiede. - Abstraktion bzw. Transfer der gewonnenen Erkenntnisse auf technische und biologische Zusammenhänge. Mit dem Ziel das Design neuer Experimente in der synthetischen Biologie zu vereinfachen und die Vergleichbarkeit von technischen und biologischen Prozessen sowie zwischen Organismen zu ermöglichen. Das Ergebnis der durchgeführten Studie zeigte, dass Zweikomponenten-Systeme in ihrem Aufbau sehr konserviert sind. Nichtsdestotrotz konnten viele spezifische Eigenschaften und drei generelle Modifikationsmöglichkeiten entdeckt werden. Die Untersuchungen ermöglichten die Identifikation neuer Promotorstellen, erlaubten aber auch die Beschreibung der Beschaffenheit unterschiedlicher Signalbindestellen. Zudem konnten bisher fehlende Komponenten aus TCS entdeckt werden, ebenso wie neue divergierte TCS-Domänen im Organismus Mycoplasma. Eine Kombination aus technischen Ansätzen und synthetischer Biologie vereinfachte die gezielte Manipulation von TCS oder anderen modularen Systemen. Die Etablierung der vorgestellten zweistufigen Modul-Klassifikation ermöglichte eine effizientere Analyse modular aufgebauter Prozesse und erlaubte somit das molekulare Design synthetischer, biologischer Anwendungen. Zur einfachen Nutzung dieses Ansatzes wurde eine frei zugängliche Software GoSynthetic entwickelt. Konkrete Beispiele demonstrierten die praktische Anwendbarkeit dieser Analysesoftware. Die vorgestellte Klassifikation der synthetisch-biologischen und technischen Einheiten soll die Planung zukünftiger Designexperimente vereinfachen und neue Wege für sinnverwandte Bereiche aufzeigen. Es ist nicht die Hauptaufgabe der Bioinformatik, Experimente zu ersetzen, sondern resultierende große Datenmengen sinnvoll und effizient auszuwerten. Daraus sollen neue Ideen für weitere Analysen und alternative Anwendungen gewonnen werden, um fehlerhafte oder falsche Ansätze frühzeitig zu erkennen. Die Bioinformatik bietet moderne, technische Verfahren, um vertraute, aber oft mühsame experimentelle Wege durch neue, vielversprechende Ansätze zur Datenstrukturierung und Auswertung großer Datenmengen zu ergänzen. Neue Sichtweisen werden durch die Erleichterung des Testprozederes gefördert. Die resultierende Zeitersparnis führt zudem zu einer Kostenreduktion.
Background: Hemostasis is a critical and active function of the blood mediated by platelets. Therefore, the prevention of pathological platelet aggregation is of great importance as well as of pharmaceutical and medical interest. Endogenous platelet inhibition is predominantly based on cyclic nucleotides (cAMP, cGMP) elevation and subsequent cyclic nucleotide-dependent protein kinase (PKA, PKG) activation. In turn, platelet phosphodiesterases (PDEs) and protein phosphatases counterbalance their activity. This main inhibitory pathway in human platelets is crucial for countervailing unwanted platelet activation. Consequently, the regulators of cyclic nucleotide signaling are of particular interest to pharmacology and therapeutics of atherothrombosis. Modeling of pharmacodynamics allows understanding this intricate signaling and supports the precise description of these pivotal targets for pharmacological modulation. Results: We modeled dynamically concentration-dependent responses of pathway effectors (inhibitors, activators, drug combinations) to cyclic nucleotide signaling as well as to downstream signaling events and verified resulting model predictions by experimental data. Experiments with various cAMP affecting compounds including antiplatelet drugs and their combinations revealed a high fidelity, fine-tuned cAMP signaling in platelets without crosstalk to the cGMP pathway. The model and the data provide evidence for two independent feedback loops: PKA, which is activated by elevated cAMP levels in the platelet, subsequently inhibits adenylyl cyclase (AC) but as well activates PDE3. By multi-experiment fitting, we established a comprehensive dynamic model with one predictive, optimized and validated set of parameters. Different pharmacological conditions (inhibition, activation, drug combinations, permanent and transient perturbations) are successfully tested and simulated, including statistical validation and sensitivity analysis. Downstream cyclic nucleotide signaling events target different phosphorylation sites for cAMP- and cGMP-dependent protein kinases (PKA, PKG) in the vasodilator-stimulated phosphoprotein (VASP). VASP phosphorylation as well as cAMP levels resulting from different drug strengths and combined stimulants were quantitatively modeled. These predictions were again experimentally validated. High sensitivity of the signaling pathway at low concentrations is involved in a fine-tuned balance as well as stable activation of this inhibitory cyclic nucleotide pathway. Conclusions: On the basis of experimental data, literature mining and database screening we established a dynamic in silico model of cyclic nucleotide signaling and probed its signaling sensitivity. Thoroughly validated, it successfully predicts drug combination effects on platelet function, including synergism, antagonism and regulatory loops.
Background: Gene function analysis of the obligate intracellular bacterium Chlamydia pneumoniae is hampered by the facts that this organism is inaccessible to genetic manipulations and not cultivable outside the host. The genomes of several strains have been sequenced; however, very little information is available on the gene structure and transcriptome of C. pneumoniae. Results: Using a differential RNA-sequencing approach with specific enrichment of primary transcripts, we defined the transcriptome of purified elementary bodies and reticulate bodies of C. pneumoniae strain CWL-029; 565 transcriptional start sites of annotated genes and novel transcripts were mapped. Analysis of adjacent genes for cotranscription revealed 246 polycistronic transcripts. In total, a distinct transcription start site or an affiliation to an operon could be assigned to 862 out of 1,074 annotated protein coding genes. Semi-quantitative analysis of mapped cDNA reads revealed significant differences for 288 genes in the RNA levels of genes isolated from elementary bodies and reticulate bodies. We have identified and in part confirmed 75 novel putative non-coding RNAs. The detailed map of transcription start sites at single nucleotide resolution allowed for the first time a comprehensive and saturating analysis of promoter consensus sequences in Chlamydia. Conclusions: The precise transcriptional landscape as a complement to the genome sequence will provide new insights into the organization, control and function of genes. Novel non-coding RNAs and identified common promoter motifs will help to understand gene regulation of this important human pathogen.
Background: Successful cooperation depends on reliable identification of friends and foes. Social insects discriminate colony members (nestmates/friends) from foreign workers (non-nestmates/foes) by colony-specific, multi-component colony odors. Traditionally, complex processing in the brain has been regarded as crucial for colony recognition. Odor information is represented as spatial patterns of activity and processed in the primary olfactory neuropile, the antennal lobe (AL) of insects, which is analogous to the vertebrate olfactory bulb. Correlative evidence indicates that the spatial activity patterns reflect odor-quality, i.e., how an odor is perceived. For colony odors, alternatively, a sensory filter in the peripheral nervous system was suggested, causing specific anosmia to nestmate colony odors. Here, we investigate neuronal correlates of colony odors in the brain of a social insect to directly test whether they are anosmic to nestmate colony odors and whether spatial activity patterns in the AL can predict how odor qualities like ‘‘friend’’ and ‘‘foe’’ are attributed to colony odors. Methodology/Principal Findings: Using ant dummies that mimic natural conditions, we presented colony odors and investigated their neuronal representation in the ant Camponotus floridanus. Nestmate and non-nestmate colony odors elicited neuronal activity: In the periphery, we recorded sensory responses of olfactory receptor neurons (electroantennography), and in the brain, we measured colony odor specific spatial activity patterns in the AL (calcium imaging). Surprisingly, upon repeated stimulation with the same colony odor, spatial activity patterns were variable, and as variable as activity patterns elicited by different colony odors. Conclusions: Ants are not anosmic to nestmate colony odors. However, spatial activity patterns in the AL alone do not provide sufficient information for colony odor discrimination and this finding challenges the current notion of how odor quality is coded. Our result illustrates the enormous challenge for the nervous system to classify multi-component odors and indicates that other neuronal parameters, e.g., precise timing of neuronal activity, are likely necessary for attribution of odor quality to multi-component odors.