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Recently, several classifiers that combine primary tumor data, like gene expression data, and secondary data sources, such as protein-protein interaction networks, have been proposed for predicting outcome in breast cancer. In these approaches, new composite features are typically constructed by aggregating the expression levels of several genes. The secondary data sources are employed to guide this aggregation. Although many studies claim that these approaches improve classification performance over single genes classifiers, the gain in performance is difficult to assess. This stems mainly from the fact that different breast cancer data sets and validation procedures are employed to assess the performance. Here we address these issues by employing a large cohort of six breast cancer data sets as benchmark set and by performing an unbiased evaluation of the classification accuracies of the different approaches. Contrary to previous claims, we find that composite feature classifiers do not outperform simple single genes classifiers. We investigate the effect of (1) the number of selected features; (2) the specific gene set from which features are selected; (3) the size of the training set and (4) the heterogeneity of the data set on the performance of composite feature and single genes classifiers. Strikingly, we find that randomization of secondary data sources, which destroys all biological information in these sources, does not result in a deterioration in performance of composite feature classifiers. Finally, we show that when a proper correction for gene set size is performed, the stability of single genes sets is similar to the stability of composite feature sets. Based on these results there is currently no reason to prefer prognostic classifiers based on composite features over single genes classifiers for predicting outcome in breast cancer.
We present a quantitative 3D analysis of the motility of the blood parasite Trypanosoma brucei. Digital in-line holographic microscopy has been used to track single cells with high temporal and spatial accuracy to obtain quantitative data on their behavior. Comparing bloodstream form and insect form trypanosomes as well as mutant and wildtype cells under varying external conditions we were able to derive a general two-state-run-and-tumble-model for trypanosome motility. Differences in the motility of distinct strains indicate that adaption of the trypanosomes to their natural environments involves a change in their mode of swimming.
During recent years a number of severe clinical syndromes, collectively termed laminopathies, turned out to be caused by various, distinct mutations in the human LMNA gene. Arising from this, remarkable progress has been made to unravel the molecular pathophysiology underlying these disorders. A great benefit in this context was the generation of an A-type lamin deficient mouse line (Lmna\(^{−/−}\)) by Sullivan and others,1 which has become one of the most frequently used models in the field and provided profound insights to many different aspects of A-type lamin function. Here, we report the unexpected finding that these mice express a truncated Lmna gene product on both transcriptional and protein level. Combining different approaches including mass spectrometry, we precisely define this product as a C-terminally truncated lamin A mutant that lacks domains important for protein interactions and post-translational processing. Based on our findings we discuss implications for the interpretation of previous studies using Lmna\(^{−/−}\) mice and the concept of human laminopathies.
Systems biology looks for emergent system effects from large scale assemblies of molecules and data, for instance in the human platelets. However, the computational efforts in all steps before such insights are possible can hardly be under estimated. In practice this involves numerous programming tasks, the establishment of new database systems but as well their maintenance, curation and data validation. Furthermore, network insights are only possible if strong algorithms decipher the interactions, decoding the hidden system effects. This thesis and my work are all about these challenges. To answer this requirement, an integrated platelet network, PlateletWeb, was assembled from different sources and further analyzed for signaling in a systems biological manner including multilevel data integration and visualization. PlateletWeb is an integrated network database and was established by combining the data from recent platelet proteome and transcriptome (SAGE) studies. The information on protein-protein interactions and kinase-substrate relationships extracted from bioinformatical databases as well as published literature were added to this resource. Moreover, the mass spectrometry-based platelet phosphoproteome was combined with site-specific phosphorylation/ dephosphorylation information and then enhanced with data from Phosphosite and complemented by bioinformatical sequence analysis for site-specific kinase predictions. The number of catalogued platelet proteins was increased by over 80% as compared to the previous version. The integration of annotations on kinases, protein domains, transmembrane regions, Gene Ontology, disease associations and drug targets provides ample functional tools for platelet signaling analysis. The PlateletWeb resource provides a novel systems biological workbench for the analysis of platelet signaling in the functional context of protein networks. By comprehensive exploration, over 15000 phosphorylation sites were found, out of which 2500 have the corresponding kinase associations. The network motifs were also investigated in this anucleate cell and characterize signaling modules based on integrated information on phosphorylation and protein-protein interactions. Furthermore, many algorithmic approaches have been introduced, including an exact approach (heinz) based on integer linear programming. At the same time, the concept of semantic similarities between two genes using Gene Ontology (GO) annotations has become an important basis for many analytical approaches in bioinformatics. Assuming that a higher number of semantically similar gene functional annotations reflect biologically more relevant interactions, an edge score was devised for functional network analysis. Bringing these two approaches together, the edge score, based on the GO similarity, and the node score, based on the expression of the proteins in the analyzed cell type (e.g. data from proteomic studies), the functional module as a maximum-scoring sub network in large protein-protein interaction networks was identified. This method was applied to various proteome datasets (different types of blood cells, embryonic stem cells) to identify protein modules that functionally characterize the respective cell type. This scalable method allows a smooth integration of data from various sources and retrieves biologically relevant signaling modules.
BACKGROUND: In the face of growing resistance in malaria parasites to drugs, pharmacological combination therapies are important. There is accumulating evidence that methylene blue (MB) is an effective drug against malaria. Here we explore the biological effects of both MB alone and in combination therapy using modeling and experimental data.
RESULTS: We built a model of the central metabolic pathways in P. falciparum. Metabolic flux modes and their changes under MB were calculated by integrating experimental data (RT-PCR data on mRNAs for redox enzymes) as constraints and results from the YANA software package for metabolic pathway calculations. Several different lines of MB attack on Plasmodium redox defense were identified by analysis of the network effects. Next, chloroquine resistance based on pfmdr/and pfcrt transporters, as well as pyrimethamine/sulfadoxine resistance (by mutations in DHF/DHPS), were modeled in silico. Further modeling shows that MB has a favorable synergism on antimalarial network effects with these commonly used antimalarial drugs.
CONCLUSIONS: Theoretical and experimental results support that methylene blue should, because of its resistance-breaking potential, be further tested as a key component in drug combination therapy efforts in holoendemic areas.
Millionen Menschen weltweit leiden an den verschiedensten Autoimmunerkrankungen. Diese Krankheiten entstehen, wenn das Immunsystem gesundes körpereigenes Gewebe angreift und zerstört. An der Pathogenese sind sowohl Komponenten des angeborenen Immunsystems als auch Bestandteile des adaptiven Immunsystems, wie Lymphozyten und Antikörper, beteiligt. Da die Ursachen und molekularen Mechanismen der Pathogenese dieser Erkrankungen bis heute weitgehend unbekannt sind, wurden in dieser Arbeit autoaggressive Lymphozyten bei den humanen Autoimmunerkrankungen Polymyositis und Multiple Sklerose näher untersucht. Die Polymyositis ist eine chronisch entzündliche Erkrankung der Skelettmuskulatur. Die Muskelfasern werden dabei von zytotoxischen CD8+ gd-T-Lymphozyten infiltriert, attackiert und schließlich zerstört. In einem seltenen Fall der Polymyositis wurden die Muskelzellen hingegen in ähnlicher Weise von CD8- gd-T-Lymphozyten angegriffen. Die gd-T-Lymphozyten waren monoklonal expandiert und ihr Rezeptor, im Folgenden als M88 bezeichnet, wurde als Vg1.3+Vd2+ identifiziert. Frühere Untersuchungen der Antigenspezifität dieser Zellen zeigten, dass M88 mehrere funktionell und strukturell verschiedene Proteine aus unterschiedlichen Spezies erkennt. Die Bindung erfolgt spezifisch durch die Antigenerkennungsregionen beider Rezeptorketten von M88. In dieser Arbeit wurden verschiedene bakterielle und humane Proteine des Translationsapparates als Antigene von M88 identifiziert. Weitere ausführliche Untersuchungen eines paradigmatischen bakteriellen Antigens, dem Translationsinitiationsfaktor EcIF1, zeigten, dass M88 an Oberflächen-exponierte Konformationsepitope von Proteinen bindet. Interessanterweise erkennt M88 mehrere humane Aminoacyl-tRNA-Synthetasen, Antigene, die in anderen Formen der Myositis von Autoantikörpern angegriffen werden. Diese Beobachtung ergibt eine bemerkenswerte Verbindung zwischen T-Zell- und Antikörper-vermittelten B-Zell-Antworten bei der autoimmunen Myositis. Bei der Multiplen Sklerose ist das zentrale Nervensystem betroffen. Autoaggressive Lymphozyten greifen die Myelinschicht der Nervenzellen im Gehirn und Rückenmark an und zerstören sie. Im Liquor cerebrospinalis von Patienten lassen sich klonal expandierte und affinitätsgereifte B-Zellen sowie „oligoklonale Banden“ (OKB) Antikörper nachweisen. Obwohl diese Merkmale auf eine Antigen-induzierte Immunantwort hindeuten, sind die zugrundeliegenden Antigene und die Rolle der OKB bei der Pathogenese bis heute unbekannt. In dieser Arbeit wurde die Antigenspezifität von fünf IgG OKB-Antikörpern aus drei Patienten untersucht. Durch verschiedene proteinbiochemische Methoden konnten intrazelluläre Kandidatenantigene identifiziert werden. Interessanterweise sind darunter mehrere nukleäre Proteine, die an der Transkriptionsregulation oder der RNA-Prozessierung beteiligt sind. Reaktivitäten gegen intrazelluläre Antigene treten auch bei anderen Autoimmunerkrankungen, wie beispielsweise dem systemischen Lupus erythematodes, auf. Diese Ergebnisse könnten auf einen allgemeinen Mechanismus der Entstehung und Funktion von Autoantikörpern bei diesen humanen Autoimmunerkrankungen hindeuten.
Cellular responses to outer stimuli are the basis for all biological processes. Signal integration is achieved by protein cascades, recognizing and processing molecules from the environment. Factors released by pathogens or inflammation usually induce an inflammatory response, a signal often transduced by Tumour Necrosis Factor alpha (TNF). TNFα receptors TNF-R1 and TNF-R2 can in turn lead to apoptosis or proliferation via NF-B. These processes are closely regulated by membrane compartimentalization, protein interactions and trafficking. Fluorescence microscopy offers a reliable and non-invasive method to probe these cellular events. However, some processes on a native membrane are not resolvable, as they are well below the diffraction limit of microscopy. The recent development of super-resolution fluorescence microscopy methods enables the observation of these cellular players well below this limit: by localizing, tracking and counting molecules with high spatial and temporal resolution, these new fluorescence microscopy methods offer a previously unknown insight into protein interactions at the near-molecular level. Direct stochastic optical reconstruction microscopy (dSTORM) utilizes the reversible, stochastic blinking events of small commercially available fluorescent dyes, while photoactivated localization microscopy (PALM) utilizes phototransformation of genetically encoded fluorescent proteins. By photoactivating only a small fraction of the present fluorophores in each observation interval, single emitters can be localized with high precision and a super-resolved image can be reconstructed. Quantum Dot Triexciton imaging (QDTI) utilizes the three-photon absorption (triexcitonic) properties of quantum dots (QD) and to achieve a twofold resolution increase using conventional confocal microscopes. In this thesis, experimental approaches were implemented to achieve super-resolution microscopy in fixed and live-cells to study the spatial and temporal dynamics of TNF and other cellular signaling events. We introduce QDTI to study the three-dimensional cellular distribution of biological targets, offering an easy method to achieve resolution enhancement in combination with optical sectioning, allowing the preliminary quantification of labeled proteins. As QDs are electron dense, QDTI can be used for correlative fluorescence and transmission electron microscopy, proving the versatility of QD probes. Utilizing the phototransformation properties of fluorescent proteins, single-receptor tracking on live cells was achieved, applying the concept of single particle tracking PALM (sptPALM) to track the dynamics of a TNF-R1-tdEos chimera on the membrane. Lateral receptor dynamics can be tracked with high precision and the influences of ligand addition or lipid disruption on TNF-R1 mobility was observed. The results reveal complex receptor dynamics, implying internalization processes in response to TNFα stimulation and a role for membrane domains with reduced fluidity, so-called lipid raft domains, in TNF-R1 compartimentalization prior or post ligand induction. Comparisons with previously published FCS data show a good accordance, but stressing the increased data depth available in sptPALM experiments. Additionally, the active transport of NF-κB-tdEos fusions was observed in live neurons under chemical stimulation and/or inhibition. Contrary to phototransformable proteins that need no special buffers to exhibit photoconversion or photoactivation, dSTORM has previously been unsuitable for in vivo applications, as organic dyes relied on introducing the probes via immunostaining in concert with a reductive, oxygen-free medium for proper photoswitching behaviour. ATTO655 had been previously shown to be suitable for live-cell applications, as its switching behavior can be catalyzed by the reductive environment of the cytoplasm. By introducing the cell-permeant organic dye via a chemical tag system, a high specificity and low background was achieved. Here, the labeled histone H2B complex and thus single nucleosome movements in a live cell can be observed over long time periods and with ~20 nm resolution. Implementing these new approaches for imaging biological processes with high temporal and spatial resolution provides new insights into the dynamics and spatial heterogeneities of proteins, further elucidating their function in the organism and revealing properties that are usually only detectable in vitro.
HRAS belongs to the RAS genes superfamily. RAS genes are important players in several human tumors and the single-nucleotide polymorphism rs12628 has been shown to contribute to the risk of bladder, colon, gastrointestinal, oral, and thyroid carcinoma. We hypothesized that this SNP may affect the risk of cutaneous melanoma as well. HRAS gene contains a polymorphic region (rs112587690), a repeated hexanucleotide -GGGCCT- located in intron 1. Three alleles of this region, P1, P2, and P3, have been identified that contain two, three, and four repeats of the hexanucleotide, respectively. We investigated the clinical impact of these polymorphisms in a case–control study. A total of 141 melanoma patients and 118 healthy donors from the North America Caucasian population were screened for rs12628 and rs112587690 polymorphisms. Genotypes were assessed by capillary sequencing or fragment analysis, respectively, and rs12628 CC and rs112587690 P1P1 genotypes significantly associated with increased melanoma risk (OR = 3.83, p = 0.003; OR = 11.3, p = 0.033, respectively), while rs112587690 P1P3 frequency resulted significantly higher in the control group (OR = 0.5, p = 0.017). These results suggest that rs12628 C homozygosis may be considered a potential risk factor for melanoma development in the North American population possibly through the linkage to rs112587690.
Behavioural Analyses of Quinine Processing in Choice, Feeding and Learning of Larval Drosophila
(2012)
Gustatory stimuli can support both immediate reflexive behaviour, such as choice and feeding, and can drive internal reinforcement in associative learning. For larval Drosophila, we here provide a first systematic behavioural analysis of these functions with respect to quinine as a study case of a substance which humans report as "tasting bitter". We describe the dose-effect functions for these different kinds of behaviour and find that a half-maximal effect of quinine to suppress feeding needs substantially higher quinine concentrations (2.0 mM) than is the case for internal reinforcement (0.6 mM). Interestingly, in previous studies (Niewalda et al. 2008, Schipanski et al 2008) we had found the reverse for sodium chloride and fructose/sucrose, such that dose-effect functions for those tastants were shifted towards lower concentrations for feeding as compared to reinforcement, arguing that the differences in dose-effect function between these behaviours do not reflect artefacts of the types of assay used. The current results regarding quinine thus provide a starting point to investigate how the gustatory system is organized on the cellular and/or molecular level to result in different behavioural tuning curves towards a bitter tastant.
Computer Science approaches (software, database, management systems) are powerful tools to boost research. Here they are applied to metabolic modelling in infections as well as health care management. Starting from a comparative analysis this thesis shows own steps and examples towards improvement in metabolic modelling software and health data management. In section 2, new experimental data on metabolites and enzymes induce high interest in metabolic modelling including metabolic flux calculations. Data analysis of metabolites, calculation of metabolic fluxes, pathways and their condition-specific strengths is now possible by an advantageous combination of specific software. How can available software for metabolic modelling be improved from a computational point of view? A number of available and well established software solutions are first discussed individually. This includes information on software origin, capabilities, development and used methodology. Performance information is obtained for the compared software using provided example data sets. A feature based comparison shows limitations and advantages of the compared software for specific tasks in metabolic modeling. Often found limitations include third party software dependence, no comprehensive database management and no standard format for data input and output. Graphical visualization can be improved for complex data visualization and at the web based graphical interface. Other areas for development are platform independency, product line architecture, data standardization, open source movement and new methodologies. The comparison shows clearly space for further software application development including steps towards an optimal user friendly graphical user interface, platform independence, database management system and third party independence especially in the case of desktop applications. The found limitations are not limited to the software compared and are of course also actively tackled in some of the most recent developments. Other improvements should aim at generality and standard data input formats, improved visualization of not only the input data set but also analyzed results. We hope, with the implementation of these suggestions, metabolic software applications will become more professional, cheap, reliable and attractive for the user. Nevertheless, keeping these inherent limitations in mind, we are confident that the tools compared can be recommended for metabolic modeling for instance to model metabolic fluxes in bacteria or metabolic data analysis and studies in infection biology. ...
Can Joint Carbon and Biodiversity Management in Tropical Agroforestry Landscapes Be Optimized?
(2012)
Managing ecosystems for carbon storage may also benefit biodiversity conservation, but such a potential 'win-win' scenario has not yet been assessed for tropical agroforestry landscapes. We measured above-and below-ground carbon stocks as well as the species richness of four groups of plants and eight of animals on 14 representative plots in Sulawesi, Indonesia, ranging from natural rainforest to cacao agroforests that have replaced former natural forest. The conversion of natural forests with carbon stocks of 227-362 Mg C ha\(^{-1}\) to agroforests with 82-211 Mg C ha\(^{-1}\) showed no relationships to overall biodiversity but led to a significant loss of forest-related species richness. We conclude that the conservation of the forest-related biodiversity, and to a lesser degree of carbon stocks, mainly depends on the preservation of natural forest habitats. In the three most carbon-rich agroforestry systems, carbon stocks were about 60% of those of natural forest, suggesting that 1.6 ha of optimally managed agroforest can contribute to the conservation of carbon stocks as much as 1 ha of natural forest. However, agroforestry systems had comparatively low biodiversity, and we found no evidence for a tight link between carbon storage and biodiversity. Yet, potential win-win agroforestry management solutions include combining high shade-tree quality which favours biodiversity with cacao-yield adapted shade levels.
In initial experiments, the well characterized VACV strain GLV-1h68 and three wild-type LIVP isolates were utilized to analyze gene expression in a pair of autologous human melanoma cell lines (888-MEL and 1936 MEL) after infection. Microarray analyses, followed by sequential statistical approaches, characterized human genes whose transcription is affected specifically by VACV infection. In accordance with the literature, those genes were involved in broad cellular functions, such as cell death, protein synthesis and folding, as well as DNA replication, recombination, and repair. In parallel to host gene expression, viral gene expression was evaluated with help of customized VACV array platforms to get better insight over the interplay between VACV and its host. Our main focus was to compare host and viral early events, since virus genome replication occurs early after infection. We observed that viral transcripts segregated in a characteristic time-specific pattern, consistent with the three temporal expression classes of VACV genes, including a group of genes which could be classified as early-stage genes. In this work, comparison of VACV early replication and respective early gene transcription led to the identification of seven viral genes whose expression correlated strictly with replication. We considered the early expression of those seven genes to be representative for VACV replication and we therefore referred to them as viral replication indicators (VRIs). To explore the relationship between host cell transcription and viral replication, we correlated viral (VRI) and human early gene expression. Correlation analysis revealed a subset of 114 human transcripts whose early expression tightly correlated with early VRI expression and thus early viral replication. These 114 human molecules represented an involvement in broad cellular functions. We found at least six out of 114 correlates to be involved in protein ubiquitination or proteasomal function. Another molecule of interest was the serine-threonine protein kinase WNK lysine-deficient protein kinase 1 (WNK1). We discovered that WNK1 features differences on several molecular biological levels associated with permissiveness to VACV infection. In addition to that, a set of human genes was identified with possible predictive value for viral replication in an independent dataset. A further objective of this work was to explore baseline molecular biological variances associated with permissiveness which could help identifying cellular components that contribute to the formation of a permissive phenotype. Therefore, in a subsequent approach, we screened a set of 15 melanoma cell lines (15-MEL) regarding their permissiveness to GLV-1h68, evaluated by GFP expression levels, and classified the top four and lowest four cell lines into high and low permissive group, respectively. Baseline gene transcriptional data, comparing low and highly permissive group, suggest that differences between the two groups are at least in part due to variances in global cellular functions, such as cell cycle, cell growth and proliferation, as well as cell death and survival. We also observed differences in the ubiquitination pathway, which is consistent with our previous results and underlines the importance of this pathway in VACV replication and permissiveness. Moreover, baseline microRNA (miRNA) expression between low and highly permissive group was considered to provide valuable information regarding virus-host co-existence. In our data set, we identified six miRNAs that featured varying baseline expression between low and highly permissive group. Finally, copy number variations (CNVs) between low and highly permissive group were evaluated. In this study, when investigating differences in the chromosomal aberration patterns between low and highly permissive group, we observed frequent segmental amplifications within the low permissive group, whereas the same regions were mostly unchanged in the high group. Taken together, our results highlight a probable correlation between viral replication, early gene expression, and the respective host response and thus a possible involvement of human host factors in viral early replication. Furthermore, we revealed the importance of cellular baseline composition for permissiveness to VACV infection on different molecular biological levels, including mRNA expression, miRNA expression, as well as copy number variations. The characterization of human target genes that influence viral replication could help answering the question of host cell response to oncolytic virotherapy and provide important information for the development of novel recombinant vaccinia viruses with improved features to enhance replication rate and hence trigger therapeutic outcome.
The ability to produce toxins is spread among a huge variety of bacterial strains. A very prominent class of bacterial protein toxins is the family of binary AB toxins sharing a common mode of intoxication. A pore forming component B binds and translocates an enzymatic component A into the cytosol of target cells exhibiting a fatal mode of action. These components are supposed to be not toxic themselves but both required for cell toxicity. Anthrax toxin produced by the Gram-positive bacteria Bacillus anthracis is the best studied binary toxin especially since its use as a biological weapon in the context of the attacks of 9/11 in 2001. In contrast to other binary toxins, Anthrax toxin possesses two different enzymatic components, edema factor (EF), a calcium- and calmodulin-dependent adenylat-cyclase and lethal factor (LF), a zinc-dependent metalloprotease. Protective antigen (PA) is the pore-forming component responsible for binding and translocation. Clostridium botulinum possesses in addition to the well known botulinum toxin (Botox) a variety of other toxins, such as the binary C2 toxin. C2 toxin is composed of the binding and translocation moiety C2II and the enzymatic moiety C2I acting as an actin-ADP-ribosyltransferase. In this study, the mode of translocation and the binding kinetics to the enzymatic component were studied in a biophysical experimental setup. In chapter 2, the binding of the N-terminal fractions EFN and LFN to the PA channel are analyzed in artificial bilayer membranes revealing lower binding affinity compared to full-length EF and LF. Other biophysical properties like voltage-dependency and ionic-strength dependency are not influenced. The results suggest that additional forces are involved in the binding process, than those concerning the N-terminus exclusively, as it was supposed previously. As the treatment of an Anthrax infection with antibiotics is often medicated very late due to the lack of early symptoms, tools to prevent intoxication are required. 4-aminoquinolones like chloroquine are known to block the PA channel, thereby inhibiting intoxication but they also lead to severe side-effects. In chapter 3 new promising agents are described that bind to PA in artificial bilayer systems, elucidating common motives and features which are necessary for binding to PA in general. The possible interaction of Anthrax and C2 toxin is investigated by measuring the binding of one enzymatic component to the respective other toxin’s pore (chapter 4). Interestingly, in vitro experiments using the black lipid bilayer assay show that PA is able to bind to C2I resulting in half saturation constants in the nanomolar range. Furthermore, in vivo this combination of toxin components exhibits cell toxicity in human cell lines. This is first-time evidence that a heterologous toxin combination is functional in in vitro and in vivo systems. In contrast, C2II is able to bind to EF as well as to LF in vitro, whereas in in vivo studies almost no toxic effect is detected. In the case of PA, an N-terminal His6-tag attached to the enzymatic subunit increased the binding affinity (chapter 5). A His6-tag attached to not related proteins also led to high binding affinities, providing the possibility to establish PA as a general cargo protein. In chapter 6 a set of different molecules and proteins is summarized, which are either related or not related to binary toxins, PA is able to bind. In first line, the presence of positive charges is found to be responsible for binding to PA which is in accordance to the fact that PA is highly cation selective. Furthermore, we present evidence that different cationic electrolytes serve as a binding partner to the PA channel. In the last decade another toxin has aroused public attention as it was found to be responsible for a rising number of nosocomial infections: Clostridium difficile CDT toxin. The mode of action of the enzymatic subunit CDTa is similar to C2I of C2 toxin, acting as an ADP-ribosylating toxin. The channel forming and binding properties of CDT toxin are studied in artificial bilayer membranes (chapter 7). We found that two different types of channels are formed by the B component CDTb. The first channel is similar to that of iota toxin’s Ib of Clostridium perfringens with comparable single channel conductance, selectivity and binding properties to the enzymatic subunit CDTa. The formation of this type of channel is cholesterol-dependent, whereas in the absence of cholesterol another kind of channel is observed. This channel has a single channel conductance which is rather high compared to all other binary toxin channels known so far, it is anion selective and does not show any binding affinity to the enzymatic component CDTa. The results reveal completely new insights in channel formation properties and the flexibility of a pore-forming component. Additionally, these findings suggest further possibilities of toxicity of the pore forming component itself which is not known for any other binary toxin yet. Therefore, the pathogenic role of this feature has to be studied in detail.
Das Arbeitsgebiet Tissue Engineering befasst sich mit der Klärung der Mechanismen, die der Funktionen verschiedener Gewebearten zu Grunde liegen sowie mit der Entwicklung alternativer Strategien zur Behandlung von Organversagen bzw. Organverlusten. Einer der kritischsten Punkte im Tissue Engineering ist die ausreichende Versorgung der Zellen mit Nährstoffen und Sauerstoff. Bioartifizielle Gewebe mit einer Dicke von bis zu 200 µm können mittels Diffusion ausreichend versorgt werden. Für dickere Transplantate ist die Versorgung der Zellen alleine durch Diffusion jedoch nicht gegeben. Hierfür müssen Mechanismen und Strategien zur Prävaskularisierung der artifiziellen Gewebekonstrukte entwickelt werden, damit die Nährstoff- und Sauerstoffversorgung aller Zellen, auch im Inneren des Transplantates, von Anfang an gewährleistet ist. Eine wichtige Rolle bei der Prävaskularisierung spielt die Angiogenese. Dabei ist die Wahl einer geeigneten Zellquelle entscheidend, da die Zellen die Basis für die Angiogenese darstellen. Mikrovaskuläre Endothelzellen (mvEZ) sind maßgeblich an der Angiogenese beteiligt. Das Problem bei der Verwendung von humanen primären mvEZ ist ihre geringe Verfügbarkeit, ihre limitierte Proliferationskapazität und der schnelle Verlust ihrer typischen Endothelzellmarker in-vitro. Der Aufbau standardisierter in-vitro Testsysteme ist durch die geringe Zellausbeute auch nicht möglich. Die upcyte® Technologie bietet hierfür einen Lösungsansatz. In der vorliegenden Arbeit konnten upcyte® mvEZ als Alternative zu primären mvEZ generiert werden. Es konnte gezeigt werden, dass die Zellen eine erweiterte Proliferationsfähigkeit aufweisen und im Vergleich zu primären mvEZ durchschnittlich 15 zusätzliche Populationsverdopplungen leisten können. Dadurch ist es möglich 3x104-fach mehr upcyte® mvEZ eines Spenders zu generieren verglichen mit den korrespondierenden Primärzellen. Die gute und ausreichende Verfügbarkeit der Zellen macht sie interessant für die Standardisierung von in-vitro Testsystemen, ebenso können die Zellen zur Prävaskularisierung von Transplantaten eingesetzt werden. Upcyte® mvEZ zeigen zahlreiche Primärzellmerkmale, die in der Literatur beschrieben sind. Im konfluenten Zustand zeigen sie die für primäre mvEZ spezifische pflastersteinartige Morphologie. Darüber hinaus exprimieren upcyte® mvEZ typische Endothelzellmarker wie CD31, vWF, eNOS, CD105, CD146 und VEGFR-2 vergleichbar zu primären mvEZ. Eine weitere endothelzellspezifische Eigenschaft ist die Bindung von Ulex europaeus agglutinin I Lektin an die alpha-L-Fucose enthaltene Kohlenhydratstrukturen von mvEZs. Auch hier wurden upcyte® Zellen mit primären mvEZ verglichen und zeigten die hierfür charkteristischen Strukturen. Zusätzlich zu Morphologie, Proliferationskapazität und endothelzellspezifischen Markern, zeigen upcyte® mvEZ auch mehrere funktionelle Eigenschaften, welche in primären mvEZ beobachtet werden können, wie beispielsweise die Aufnahme von Dil-markiertem acetyliertem Low Density Lipoprotein (Dil-Ac-LDL) oder die Fähigkeit den Prozess der Angiognese zu unterstützen. Zusätzlich bilden Sphäroide aus upcyte® mvEZ dreidimensionale luminäre Zellformationen in einer Kollagenmatrix aus. Diese Charakteristika zeigen den quasi-primären Phänotyp der upcyte® mvEZs. Upcyte® mvEZ stellen darüber hinaus eine neuartige mögliche Zellquelle für die Generierung prävaskularisierter Trägermaterialien im Tissue Engineering dar. In der vorliegenden Arbeit konnte die Wiederbesiedlung der biologisch vaskularisierte Matrix (BioVaSc) mit upcyte® mvEZ vergleichbar zu primären mvEZ gezeigt werden. Der Einsatz von upcyte® mvEZ in der BioVaSc stellt einen neuen, vielversprechenden Ansatz zur Herstellung eines vaskularisierten Modells für Gewebekonstrukte dar, wie beispielsweise einem Leberkonstrukt. Zusammenfassend konnte in der vorliegenden Arbeit gezeigt werden, dass upcyte® mvEZ vergleichbar zu primären mvEZs sind und somit eine geeignete Alternative für die Generierung prävaskulierter Trägermaterialien und Aufbau von in-vitro Testsystemen darstellen. Darüber hinaus wurde ein neues, innovatives System für die Generierung einer perfundierten, mit Endothelzellen wiederbesiedelten Matrix für künstliches Gewebe in-vitro entwickelt.
Tardigrades have fascinated researchers for more than 300 years because of their extraordinary capability to undergo cryptobiosis and survive extreme environmental conditions. However, the survival mechanisms of tardigrades are still poorly understood mainly due to the absence of detailed knowledge about the proteome and genome of these organisms. Our study was intended to provide a basis for the functional characterization of expressed proteins in different states of tardigrades. High-throughput, high-accuracy proteomics in combination with a newly developed tardigrade specific protein database resulted in the identification of more than 3000 proteins in three different states: early embryonic state and adult animals in active and anhydrobiotic state. This comprehensive proteome resource includes protein families such as chaperones, antioxidants, ribosomal proteins, cytoskeletal proteins, transporters, protein channels, nutrient reservoirs, and developmental proteins. A comparative analysis of protein families in the different states was performed by calculating the exponentially modified protein abundance index which classifies proteins in major and minor components. This is the first step to analyzing the proteins involved in early embryonic development, and furthermore proteins which might play an important role in the transition into the anhydrobiotic state.
Aberrations in gene expression are a hallmark of cancer cells. Differential tumor-specific transcript levels of single genes or whole sets of genes may be critical for the neoplastic phenotype and important for therapeutic considerations or useful as biomarkers. As an approach to filter out such relevant expression differences from the plethora of changes noted in global expression profiling studies, we searched for changes of gene expression levels that are conserved. Transcriptomes from massive parallel sequencing of different types of melanoma from medaka were generated and compared to microarray datasets from zebrafish and human melanoma. This revealed molecular conservation at various levels between fish models and human tumors providing a useful strategy for identifying expression signatures strongly associated with disease phenotypes and uncovering new melanoma molecules.
Die Lamina ist ein dichtes Netzwerk aus Intermediär-Filamenten, den Laminen, an der nucleoplasmatischen Seite der inneren Kernmembran. Hier interagieren Lamine sowohl mit Transmembran-Proteinen der Kernhülle als auch mit dem Chromatin. Diese Wechselwirkungen mit Interaktionspartnern verschiedener zellulärer Kompartimente macht die Lamina, neben einer Gerüststruktur mit wichtigen mechanische Aufgaben, auch zu einer zentralen Schnittstelle von Signalwegen, die eine intrazelluläre Kommunikation zwischen Nucleus und Cytoplasma ermöglichen. Die Lamina ist somit ein entscheidender Regulator der funktionellen Organisation des Chromatins und der differentiellen Genexpression. Das Expressionsmuster der Lamine während der Spermatogenese von Säugern unterscheidet erheblich von der Lamin-Expression somatischer Zellen und weist einige Besonderheiten auf. Dies schließt unter anderem die spezifische Expression der verkürzten A-Typ Lamin-Spleißvariante C2 während der meiotischen Phase der Spermatogenese ein. Diese und andere Beobachtungen deuteten bereits länger darauf hin, dass der speziellen Zusammensetzung der Lamina und vor allem dem meiosespezifischen Lamin C2 während der Gametogenese im männlichen Organismus eine entscheidende Rolle zukommen könnte. Neuere Studien im Mausmodell bekräftigen diese Hypothese und leisten darüber hinaus einen entscheidenden Betrag dazu, die Funktion der Lamina während der Meiose auf molekularer Ebene präzise zu definieren. Im deutlichen Gegensatz zu den weitreichenden Kenntnissen zur Situation in Männchen lagen zu Beginn der vorliegenden Arbeit keine Daten über die Zusammensetzung der Lamina in weiblichen Keimzellen vor. Konsequenterweise existierten auch keine funktionellen Untersuchungen zur Relevanz der Lamina für die Oogenese. In der vorliegenden Arbeit wurden diese reproduktionsbiologisch hoch interessanten Fragestellungen detailliert untersucht. Dabei zeigte sich unter anderem, dass Lamin C2 auch in weiblichen Keimzellen spezifisch während der Meiose exprimiert wird. Durch Studien an einer Lamin C2-defizienten Mauslinie wurde die Funktion von Lamin C2 in der Meiose in Weibchen genau untersucht. Dabei wurde eine erhebliche Beeinträchtigung der strukturellen Paarung der homologen Chromosomen und der homologen Rekombination in Lamin C2-defizienten Weibchen festgestellt. Da die genannten Prozesse Schlüsselereignisse für die korrekte Segregation der Homologen in späteren Stadien der Meiose sind, deuten die erzielten Ergebnisse auf eine erhebliche qualitative Beeinträchtigung der reifen Gameten in Lamin C2-defizienten Weibchen hin. Ein weiterer zentraler Aspekt der Arbeit war die Analyse der molekularen Eigenschaften des meiosespezifischen Lamin C2 in vitro. Diese Experimente definieren wichtige Unterschiede hinsichtlich seiner Polymerisationseigenschaften im Vergleich zu Laminen somatischer Zellen und tragen, zusammen mit anderen Studien, dadurch erheblich dazu bei, die Funktion von Lamin C2 in der Meiose im mechanistischen Sinne besser zu verstehen. Zudem deckt die vorliegende Arbeit erstmals einen funktionellen Zusammenhang zwischen der Lamina-Zusammensetzung und der Qualität der Keimzellen weiblicher Säuger auf und ermöglicht dadurch zukünftige Studien zur Rolle der Lamine in der Oogenese, die möglicherweise auch für die menschliche Fertilität sehr interessant sein könnte. Der zweite Teil der Dissertation beschäftigt sich mit der Beschreibung einer trunkierten A-Typ Lamin-Spleißvariante in einer Mauslinie, die bislang als A-Typ Lamin-defizient angesehen wurde (Lmna-/-). Die durchgeführten Untersuchungen besitzen vor allem dadurch hohe Relevanz, dass die untersuchte Lmna-/- Mauslinie seit Jahren als das wichtigste Modell zur funktionellen Untersuchung der A-Typ Lamine gilt und bereits in einer Vielzahl von Publikationen eingesetzt wurde. In den hierzu durchgeführten Versuchen konnte das in der Lmna-/- Mauslinie persistierende A-Typ Lamin mittels diverser methodischer Ansätze als C-terminale Deletionsmutante definiert werden, der die Exons 8-11 der insgesamt 12 Exons des Lmna-Gens fehlen. Daher wurde diese Lamin A-Mutante als Lamin AΔ8-11 bezeichnet. Die Konsequenzen der C-terminalen Deletion für die physiologischen Eigenschaften des Lamin Adelta8-11 sowie die Auswirkungen seiner Expression in der Lmna-/- Mauslinie auf aktuelle Modellvorstellungen zur Funktion der A-Typ Lamine und zur Entstehung Lamin-assoziierter, humaner Erkrankungen (Laminopathien) werden in der Arbeit ausführlich diskutiert.
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.
Two-component systems (TCS) are short signalling pathways generally occurring in prokaryotes. They frequently regulate prokaryotic stimulus responses and thus are also of interest for engineering in biotechnology and synthetic biology. The aim of this study is to better understand and describe rewiring of TCS while investigating different evolutionary scenarios. Based on large-scale screens of TCS in different organisms, this study gives detailed data, concrete alignments, and structure analysis on three general modification scenarios, where TCS were rewired for new responses and functions: (i) exchanges in the sequence within single TCS domains, (ii) exchange of whole TCS domains; (iii) addition of new components modulating TCS function. As a result, the replacement of stimulus and promotor cassettes to rewire TCS is well defined exploiting the alignments given here. The diverged TCS examples are non-trivial and the design is challenging. Designed connector proteins may also be useful to modify TCS in selected cases.
DOT1A-dependent H3K76 methylation is required for replication regulation in Trypanosoma brucei
(2012)
Cell-cycle progression requires careful regulation to ensure accurate propagation of genetic material to the daughter cells. Although many cell-cycle regulators are evolutionarily conserved in the protozoan parasite Trypanosoma brucei, novel regulatory mechanisms seem to have evolved. Here, we analyse the function of the histone methyltransferase DOT1A during cell-cycle progression. Over-expression of DOT1A generates a population of cells with aneuploid nuclei as well as enucleated cells. Detailed analysis shows that DOT1A over-expression causes continuous replication of the nuclear DNA. In contrast, depletion of DOT1A by RNAi abolishes replication but does not prevent karyokinesis. As histone H3K76 methylation has never been associated with replication control in eukaryotes before, we have discovered a novel function of DOT1 enzymes, which might not be unique to trypanosomes.