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Background
Information about genes, transcripts and proteins is spread over a wide variety of databases. Different tools have been developed using these databases to identify biological signals in gene lists from large scale analysis. Mostly, they search for enrichments of specific features. But, these tools do not allow an explorative walk through different views and to change the gene lists according to newly upcoming stories.
Results
To fill this niche, we have developed ISAAC, the InterSpecies Analysing Application using Containers. The central idea of this web based tool is to enable the analysis of sets of genes, transcripts and proteins under different biological viewpoints and to interactively modify these sets at any point of the analysis. Detailed history and snapshot information allows tracing each action. Furthermore, one can easily switch back to previous states and perform new analyses. Currently, sets can be viewed in the context of genomes, protein functions, protein interactions, pathways, regulation, diseases and drugs. Additionally, users can switch between species with an automatic, orthology based translation of existing gene sets. As todays research usually is performed in larger teams and consortia, ISAAC provides group based functionalities. Here, sets as well as results of analyses can be exchanged between members of groups.
Conclusions
ISAAC fills the gap between primary databases and tools for the analysis of large gene lists. With its highly modular, JavaEE based design, the implementation of new modules is straight forward. Furthermore, ISAAC comes with an extensive web-based administration interface including tools for the integration of third party data. Thus, a local installation is easily feasible. In summary, ISAAC is tailor made for highly explorative interactive analyses of gene, transcript and protein sets in a collaborative environment.
Background
VKORC1 has been identified some years ago as the gene encoding vitamin K epoxide reductase (VKOR) – the target protein for coumarin derivates like warfarin or phenprocoumon. Resistance against warfarin and other coumarin-type anticoagulants has been frequently reported over the last 50 years in rodents due to problems in pest control as well as in thrombophilic patients showing variable response to anticoagulant treatment. Many different mutations have already been detected in the VKORC1 gene leading to warfarin resistance in rats, mice and in humans. Since the conventional in vitro dithiothreitol (DTT)-driven VKOR enzymatic assay often did not reflect the in vivo status concerning warfarin resistance, we recently developed a cell culture-based method for coexpression of VKORC1 with coagulation factor IX and subsequent measurement of secreted FIX in order to test warfarin inhibition in wild-type and mutated VKORC1.
Results
In the present study, we coexpressed wild-type factor IX with 12 different VKORC1 variants which were previously detected in warfarin resistant rats and mice. The results show that amino acid substitutions in VKORC1 maintain VKOR activity and are associated with warfarin resistance. When we projected in silico the amino acid substitutions onto the published three-dimensional model of the bacterial VKOR enzyme, the predicted effects matched well the catalytic mechanism proposed for the bacterial enzyme.
Conclusions
The established cell-based system for coexpression of VKORC1 and factor IX uses FIX activity as an indicator of carboxylation efficiency. This system reflects the warfarin resistance status of VKORC1 mutations from anticoagulant resistant rodents more closely than the traditional DTT-driven enzyme assay. All mutations studied were also predicted to be involved in the reaction mechanism.
Background
Renal cell carcinoma (RCC) is marked by high mortality rate. To date, no robust risk stratification by clinical or molecular prognosticators of cancer-specific survival (CSS) has been established for early stages. Transcriptional profiling of small non-coding RNA gene products (miRNAs) seems promising for prognostic stratification. The expression of miR-21 and miR-126 was analysed in a large cohort of RCC patients; a combined risk score (CRS)-model was constructed based on expression levels of both miRNAs.
Methods
Expression of miR-21 and miR-126 was evaluated by qRT-PCR in tumour and adjacent non-neoplastic tissue in n = 139 clear cell RCC patients. Relation of miR-21 and miR-126 expression with various clinical parameters was assessed. Parameters were analysed by uni- and multivariate COX regression. A factor derived from the z-score resulting from the COX model was determined for both miRs separately and a combined risk score (CRS) was calculated multiplying the relative expression of miR-21 and miR-126 by this factor. The best fitting COX model was selected by relative goodness-of-fit with the Akaike information criterion (AIC).
Results
RCC with and without miR-21 up- and miR-126 downregulation differed significantly in synchronous metastatic status and CSS. Upregulation of miR-21 and downregulation of miR-126 were independently prognostic. A combined risk score (CRS) based on the expression of both miRs showed high sensitivity and specificity in predicting CSS and prediction was independent from any other clinico-pathological parameter. Association of CRS with CSS was successfully validated in a testing cohort containing patients with high and low risk for progressive disease.
Conclusions
A combined expression level of miR-21 and miR-126 accurately predicted CSS in two independent RCC cohorts and seems feasible for clinical application in assessing prognosis.
Chlamydia trachomatis is an obligate intracellular pathogen that replicates inside a vacuole, the so-called inclusion. During replication by a biphasic life-cycle Chlamydia secrete via their type 3 secretion system various effector proteins into the inclusion lumen, the inclusion membrane or the host cell cytosol to form their favored replication niche. Chlamydia-infected cells are highly resistant against apoptosis since the replicative form of Chlamydia is non-infectious and premature cell death would cause complete loss of one Chlamydia generation. The bacteria block apoptosis by preventing mitochondrial outer membrane permeabilization. Various proteins with anti-apoptotic function are enriched in Chlamydia-infected cells such as Mcl-1, cIAP2, Survivin or HIF1α. The accumulation of these proteins is a result of increased gene expression and direct protein stabilization. However, the molecular mechanisms and involved bacterial effector proteins are mostly unknown.
With this work the molecular mechanisms of Mcl-1 stabilization and the participation of chlamydial factors were investigated. Mcl-1 is a member of the Bcl-2 protein family and has an extremely short half-life causing its permanent ubiquitination and subsequent degradation by the 26S proteasome under normal homeostasis whilst Mcl-1 accumulation results in apoptosis inhibition. It was shown that during C. trachomatis infection Mcl-1 ubiquitination is reduced causing its stabilization albeit no cellular ubiquitin-proteasome-system components are involved in this process. However, C. trachomatis express the two deubiquitinases ChlaDUB1 and ChlaDUB2 which are mostly uncharacterized. With this work the expression profile, subcellular localization, substrates and function of the deubiquitinases were investigated. It was shown that ChlaDUB1 is secreted to the surface of the inclusion where it interacts with Mcl-1 which is accumulated in the proximity of this compartment. By utilization of infection experiments, heterologous expression systems and in vitro experiments a direct interaction of ChlaDUB1 and Mcl-1 was demonstrated. Furthermore, it was shown that Mcl-1 is deubiquitinated by ChlaDUB1 causing its stabilization. During replicative phase of infection, ChlaDUB2 seems to be accumulated in the chlamydial particles. However, ChlaDUB2 substrates could not be identified which would give an indication for the physiological role of ChlaDUB2.
Since 2011, a protocol to transform C. trachomatis with artificial plasmid DNA is available. As part of this work the transformation of C. trachomatis with plasmid DNA suitable for the permanent or inducible protein overexpression on a routinely basis was established. In addition, the first targeted homologous recombination into the chlamydial genome to replace the ChlaDUB1 gene by a modified one was performed and validated. The targeted homologous recombination was also used to create a ChlaDUB1 knock-out mutant; however deletion of ChlaDUB1 seems to be lethal for C. trachomatis. Due to the fact that ChlaDUB1-lacking Chlamydia could not be obtained an inhibitor screen was performed and identified CYN312 as a potential ChlaDUB1 inhibitor. Application of CYN312 during infection interfered with chlamydial growth and reduced Mcl-1 quantity in infected cells. Furthermore, CYN312 treated Ctr-infected cells were significantly sensitized for apoptosis.
Taken together, C. trachomatis secretes the deubiquitinase ChlaDUB1 to the surface of the inclusion where it deubiquitinates Mcl-1 causing its accumulation in infected cells resulting in apoptosis resistance. Application of the ChlaDUB1 inhibitor CYN312 interferes with Mcl-1 stabilization sensitizing infected cells for apoptosis.
WISP3 is a member of the CCN family which comprises six members found in the 1990’s: Cysteine-rich,angiogenic inducer 61 (CYR61, CCN1), Connective tissue growth factor (CTGF, CCN2), Nephroblastoma overexpressed (NOV, CNN3) and the Wnt1 inducible signalling pathway protein 1-3 (WISP1-3, CCN4-6).They are involved in the adhesion, migration, mitogenesis, chemotaxis, proliferation, cell survival, angiogenesis, tumorigenesis, and wound healing by the interaction with different integrins and heparan sulfate proteoglycans. Until now the only member correlated to the musculoskeletal autosomal disease Progressive Pseudorheumatoid Dysplasia (PPD) is WISP3. PPD is characterised by normal embryonic development followed by cartilage degradation over time starting around the age of three to eight years. Animal studies in mice exhibited no differences between knock out or overexpression compared to wild type litter mates, thus were not able to reproduce the symptoms observed in PPD patients. Studies in vitro and in vivo revealed a role for WISP3 in antagonising BMP, IGF and Wnt signalling pathways. Since most of the knowledge of WISP3 was gained in epithelial cells, cancer cells or chondrocyte cell lines, we investigated the roll of WISP3 in primary human mesenchymal stem cells (hMSCs) as well as primary chondrocytes.
WISP3 knock down was efficiently established with three short hairpin RNAs in both cell types, displaying a change of morphology followed by a reduction in cell number. Simultaneous treatment with recombinant WISP3 was not enough to rescue the observed phenotype nor increase the endogenous expression of WISP3. We concluded that WISP3 acts as an essential survival factor, where the loss resulted in the passing of cell cycle control points followed by apoptosis. Nevertheless, Annexin V-Cy3 staining and detection of active caspases by Western blot and immunofluorescence staining detected no clear evidence for apoptosis. Furthermore, the gene expression of the death receptors TRAILR1 and TRAILR2,important for the extrinsic activation of apoptosis, remained unchanged during WISP3 mRNA reduction. Autophagy as cause of cell death was also excluded, given that the autophagy marker LC3 A/B demonstrated to be uncleaved in WISP3-deficient hMSCs. To reveal correlated signalling pathways to WISP3 a whole genome expression analyses of WISP3-deficient hMSCs compared to a control (scramble) was performed. Microarray analyses exhibited differentially regulated genes involved in cell cycle control, adhesion, cytoskeleton and cell death. Cell death observed by WISP3 knock down in hMSCs and chondrocytes might be explained by the induction of necroptosis through the BMP/TAK1/RIPK1 signalling axis. Loss of WISP3 allows BMP to bind its receptor activating the Smad 2/3/4 complex which in turn can activate TAK1 as previously demonstrated in epithelial cells. TAK1 is able to block
caspase-dependent apoptosis thereby triggering the assembly of the necrosome resulting in cell death by necroptosis.
Together with its role in cell cycle control and extracellular matrix adhesion, as demonstrated in human mammary epithelial cells, the data supports the role of WISP3 as tumor suppressor and survival factor in cells of the musculoskeletal system as well as epithelial cells.
This thesis explores the influence of social and environmental cues on the nest building behavior of leaf-cutting ants. Especially, the investigations are aimed at evaluating the mechanisms of nest building and how the nest environment can spatially guide building responses that lead to an adaptive nest architecture. The emergence of nest chambers in the nest of the leaf-cutting ant Acromyrmex lundi were evaluated. Rather than excavating nest chambers in advance, at places where workers encounter suitable environmental conditions for brood and fungus rearing, these items have to be present at a site. When presented in the laboratory with a choice between two otherwise identical digging sites, offering suitable environmental conditions, but one containing brood, the workers displayed a higher excavation activity at the site where they encountered the putative content of a chamber. The shape of the excavated cavity was also more round and chamber-like. It is concluded that leaf-cutting ants respond to social cues during nest building. Excavation is a costly process and colonies have to spend a part of their energy stores on nest building, so that regulatory responses for the control of nest excavation are expected to occur. Worker density at the beginning of the digging process influenced digging activity while the presence of in-nest stores did not. Stored brood and fungus did however influence the architecture of the excavated nest, leading to the excavation of larger chambers and smaller tunnels. While self-organized mechanisms appear to be involved in the nest building process, the social cues of the ants’ environment during building clearly influence the nest architecture and lead to an adjustment of the nest size to the current space needs of the colony. Workers secondarily regulated nest size by the opportunistic refilling of unused space with excavated soil pellets. As the ants should provide suitable conditions for brood and fungus rearing, they should show a behavioral response to CO2 concentrations, as the gas is known to hinder fungus respiration. Workers of A. lundi did indeed avoid high CO2-levels for fungus rearing but actually preferred CO2-values in the range encountered close to the soil surface, where this species excavates their nests. However, different CO2-levels did not affect their excavation behavior. While fungus chambers make up part of a leaf-cutting ant nest, most leaf-cutting ants of the genus Atta also spent part of the colony’s energy on excavating large, voluminous chambers for waste disposal, rather than scattering the material aboveground. It is expected that leaf-cutting ants also show environmental preferences for waste management. In experiments Atta laevigata workers preferred deposition in a warm and dry environment and showed no preference for specific CO2-levels. The continued accumulation of waste particles in a waste chamber seems to be based on the use of volatiles. These originate from the waste itself, and seem to be used as an orientation cue by workers relocating the material. The ensuing large accumulation of waste at one site should result in the emergence of more voluminous chambers for waste disposal.
Localization microscopy is a class of super-resolution fluorescence microscopy techniques. Localization microscopy methods are characterized by stochastic temporal isolation of fluorophore emission, i.e., making the fluorophores blink so rapidly that no two are
likely to be photoactive at the same time close to each other. Well-known localization microscopy methods include dSTORM}, STORM, PALM, FPALM, or GSDIM. The biological community has taken great interest in localization microscopy, since it can enhance the resolution of common fluorescence microscopy by an order of magnitude at little experimental cost.
However, localization microscopy has considerable computational cost since millions of individual stochastic emissions must be located with nanometer precision. The computational cost of this evaluation, and the organizational cost of implementing the complex algorithms, has impeded adoption of super-resolution microscopy for a long time.
In this work, I describe my algorithmic framework for evaluating localization microscopy data.
I demonstrate how my novel open-source software achieves real-time data evaluation, i.e., can evaluate data faster than the common experimental setups can capture them.
I show how this speed is attained on standard consumer-grade CPUs, removing the need for computing on expensive clusters or deploying graphics processing units.
The evaluation is performed with the widely accepted Gaussian PSF model and a Poissonian maximum-likelihood noise model.
I extend the computational model to show how robust, optimal two-color evaluation is realized, allowing correlative microscopy between multiple proteins or structures. By employing cubic B-splines, I show how the evaluation of three-dimensional samples can be made simple and robust, taking an important step towards precise imaging of micrometer-thick samples.
I uncover the behavior and limits of localization algorithms in the face of increasing emission densities.
Finally, I show up algorithms to extend localization microscopy to common biological problems.
I investigate cellular movement and motility by considering the in vitro movement of myosin-actin filaments. I show how SNAP-tag fusion proteins enable imaging with bright and stable organic fluorophores in live cells. By analyzing the internal structure of protein clusters, I show how localization microscopy can provide new quantitative approaches beyond pure imaging.
Recent development of proteomic approaches and generation of large-scale proteomic datasets calls for new methods for biological interpretation of the obtained results. Systems biological approaches such as integrated network analysis and functional module search have become an essential part of proteomic investigation. Proteomics is especially applied in anucleate cells such as platelets. The underlying molecular mechanisms of platelet activation and their pharmacological modulation are of immense importance for clinical research. Advances in platelet proteomics have provided a large amount of proteomic data, which has not yet been comprehensively investigated in a systems biological perspective. To this end, I assembled platelet specific data from proteomic and transcriptomic studies by detailed manual curation and worked on the generation of a comprehensive human platelet repository for systems biological analysis of platelets in the functional context of integrated networks (PlateletWeb) (http:/PlateletWeb.bioapps.biozentrum.uni-wuerzburg.de). I also added platelet-specific experimentally validated phosphorylation data and generated kinase predictions for 80% of the newly identified platelet phosphosites. The combination of drug, disease and pathway information with phosphorylation and interaction data makes this database the first integrative platelet platform available for platelet research. PlateletWeb contains more than 5000 platelet proteins, which can also be analyzed and visualized in a network context, allowing identification of all major signaling modules involved in platelet activation and inhibition. Using the wealth of integrated data I performed a series of platelet-specific analyses regarding the platelet proteome, pathways, drug targets and novel platelet phosphorylation events involved in crucial signaling events. I analyzed the statistical enrichment of known pathways for platelet proteins and identified endocytosis as a highly represented pathway in platelets. Further results revealed that highly connected platelet proteins are more often targeted by drugs. Using integrated network analysis offered by PlateletWeb, I analyzed the crucial activation signaling pathway of adenosine diphosphate (ADP), visualizing how the signal flow from receptors to effectors is maintained. My work on integrin inside-out signaling was also based on the integrated network approach and examined new platelet-specific phosphorylation sites and their regulation using kinase predictions. I generated hypothesis on integrin signaling, by investigating the regulation of Ser269 phosphorylation site on the docking protein 1 (DOK1). This phosphorylation site may influence the inhibiting effect of DOK1 on integrin a2bb3. Extending the integrated network approach to further cell lines, I used the assembled human interactome information for the analysis of functional modules in cellular networks. The investigation was performed with a previously developed module detection algorithm, which finds maximum-scoring subgraphs in transcriptomic datasets by using assigned values to the network nodes. We extended the algorithm to qualitative proteomic datasets and enhanced the module search by adding functional information to the network edges to concentrate the solution onto modules with high functional similarity. I performed a series of analyses to validate its performance in small-sized (virus-infected gastric cells) and medium-sized networks (human lymphocytes). In both cases the algorithm extracted characteristic modules of sample proteins with high functional similarity. The functional module search is especially useful in site-specific phosphoproteomic datasets, where kinase regulation of the detected sites is often sparse or lacking. Therefore, I used the module detection algorithm in quantitative phosphoproteomic datasets. In a platelet phosphorylation dataset, I presented a pipeline for network analysis of detected phosphorylation sites. In a second approach, the functional module detecting algorithm was used on a phosphoproteome network of human embryonic stem cells, in which nodes represented the maximally changing phosphorylation sites in the experiment. Additional kinases from the human phosphoproteome in PlateletWeb were included to the network to investigate the regulation of the signal flow. Results indicated important phosphorylation sites and their upstream kinases and explained changes observed in embryonic stem cells during differentiation. This work presents novel approaches for integrated network analysis in cells and introduces for the first time a systematic biological investigation of the human platelet proteome based on the platelet-specific knowledge base PlateletWeb. The extended methods for optimized functional module detection offer an invaluable tool for exploring proteomic datasets and covering gaps in complex large-scale data analysis. By combining exact module detection approaches with functional information data between interacting proteins, characteristic functional modules with high functional resemblance can be extracted from complex datasets, thereby focusing on important changes in the observed networks.
Cord blood hematopoietic stem cells (CB-HSCs) are an outstanding source for the treatment of a variety of malignant and non-malignant disorders. However, the low amount of cells collected per donor is often insufficient for treatment of adult patients. In order to make sufficient numbers of CB-HSCs available for adults, expansion is required. Different approaches were described for HSC expansion, however these approaches are impeded by the loss of engrafting potential during ex vivo culture. Little is known about the underlying molecular mechanisms. Epigenetic mechanisms play essential roles in controlling stem cell potential and fate decisions and epigenetic strategies are considered for HSC expansion. Therefore, this study aimed to characterize global and local epigenotypes during the expansion of human CB-CD34+, a well established CB progenitor cell type, to better understand the molecular mechanisms leading to the culture-associated loss of engrafting potential. Human CB-CD34+ cells were cultured using 2 different cytokine cocktails: the STF cocktail containing SCF, TPO, FGF-1 and the STFIA cocktail, which combines STF with Angiopoietin-like 5 (Angptl5) and Insulin-like growth factor-binding protein 2 (IGFBP2). The latter expands CB-HSCs ex vivo. Subsequently, the NOD-scid gamma (NSG) mouse model was used to study the engraftment potential of expanded cells. Engraftment potential achieved by fresh CB-CD34+ cells was maintained when CB-CD34+ cells were expanded under STFIA but not under STF conditions. To explore global chromatin changes in freshly isolated and expanded CB-CD34+ cells, levels of the activating H3K4me3 and the repressive H3K27me3 histone marks were determined by chromatin flow cytometry and Western blot analyses. For analysis of genome-wide chromatin changes following ex vivo expansion, transcriptome profiling by microarray and chromatin immunoprecipitation combined with deep sequencing (ChIP-seq) were performed. Additionally, local chromatin transitions were monitored by ChIP analyses on promoter regions of developmental and self-renewal factors. On a global level, freshly isolated CD34+ and CD34- cells differed in H3K4me3 and H3K27me3 levels. After 7 days of expansion, CD34+ and CD34- cells adopted similar levels of active and repressive marks. Expanding the cells without IGFBP2 and Angptl5 led to a higher global H3K27me3 level. ChIP-seq analyses revealed a cytokine cocktail-dependent redistribution of H3K27me3 profiles. Chemical inhibition of the H3K27 methyltransferase EZH2 counteracted the culture-associated loss of NSG engraftment potential. Collectively, the data presented in this study revealed that by adding epigeneticly active compounds in the culture media we observed changes on a chromatin level which counteracted the loss of engraftment potential. H3K27me3 rather than H3K4me3 may be critical to establish a specific engraftment supporting transcriptional program. Furthermore, I identified a critical function for the Polycomb repressive complex 2-component EZH2 in the loss of engraftment potential during the in vitro expansion of HPSCs. Taken together this thesis provides a better molecular understanding of chromatin changes upon expansion of CB-HSPCs and opens up new perspectives for epigenetic ex vivo expansion strategies.
Stem cells are defined by their capacity to self-renew and their potential to differentiate into multiple cell lineages. Pluripotent embryonic stem (ES) cells can renew indefinitely while keeping the potential to differentiate into any of the three germ layers (ectoderm, endoderm or mesoderm). For decades, ES cells are in the focus of research because of these unique features. When ES cells differentiate they form spheroid aggregates termed “embryoid bodies” (EBs). These EBs mimic post- implantation embryonic development and therefore facilitate the understanding of developmented mechanisms.
During ES cell differentiation, de-repression or repression of genes accompanies the changes in chromatin structure. In ES cells, several mechanisms are involved in the regulation of the chromatin architecture, including post-translational modifications of histones. Post-translational histone methylation marks became one of the best- investigated epigenetic modifications, and they are essential for maintaining pluripotency. Until the first histone demethylase KDM1A was discovered in 2004 histone modifications were considered to be irreversible. Since then, a great number of histone demethylases have been identified. Their activity is linked to gene regulation as well as to stem cell self-renewal and differentiation.
KDM6A and KDM6B are H3K27me3/2-specific histone demethylases, which are known to play a central role in the regulation of posterior development by regulating HOX gene expression. So far less is known about the molecular function of KDM6A or KDM6B in undifferentiated and differentiating ES cells. In order to completely abrogate KDM6A and KDM6B demethylase activity in undifferentiated and differentiating ES cells, a specific inhibitor (GSK-J4) was employed. Treatment with GSK-J4 had no effect on the viability or proliferation on ES cells. However, in the presence of GSK-J4 ES cell differentiation was completely abrogated with cells arrested in G1-phase and an increased rate of apoptosis. Global transcriptome analyses in early-differentiating ES cells revealed that only a limited set of genes were differentially regulated in response to GSK-J4 treatment with more genes up- regulated than down-regulated. Many of the up-regulated genes are linked to DNA damage response (DDR). In agreement with this, DNA damage was found in EBs incubated with GSK-J4. A co-localization of H3K27me3 or KDM6B with γH2AX foci, marking DNA breaks, could be excluded. However, differentiating Eed knockout (KO) ES cells, which are devoid of the H3K27me3 mark, showed an attenuated GSK-J4- induced DDR. Finally, hematopoietic differentiation in the presence of GSK-J4 resulted in a reduced colony-forming potential. This leads to the conclusion that differentiation in the presence of GSK-J4 is also restricted to hematopoietic differentiation.
In conclusion, my results show that the enzymatic activity of KDM6A and KDM6B is not essential for maintaining the pluripotent state of ES cells. In contrast, the enzymatic activity of both proteins is indispensable for ES cell and hematopoietic differentiation. Additionally KDM6A and KDM6B enzymatic inhibition in differentiating ES cells leads to increased DNA damage with an activated DDR. Therefore, KDM6A and KDM6B are associated with DNA damage and in DDR in differentiating ES cells.
The mechanisms that enable cells to regulate their gene expression and thus their metabolism, proliferation or cellular behaviour are not only important to understand the basic biology of a living cell, but are also of crucial interest in cancerogenesis. Highly interwoven and tightly regulated pathways are the basis of a robust but also flexible regulatory network. Interference with these pathways can be either causative for tumorigenesis or can modify its outcome. The receptor tyrosine kinase (RTK) and RAS dependent pathways leading to AKT or ERK1/2 activation are of particular interest in melanoma. These signaling modules are commonly activated by different mutations that can be found in various pathway components like NRAS, BRAF or PTEN. The first part of this work deals with the diverse and versatile functions of the ERK1/2 pathway feedbackregulator MKP2 in different cellular, melanoma relevant settings. In addition, a functional role of the AP1-complex member FOSL1, an ERK1/2 transcriptional target being implicated in the regulation of proliferation, is demonstrated. Secondly, aspects of direct pharmacological inhibition of the ERK1/2 pathway with regard to the induction of apoptosis have been analysed. Due to the high frequency of melanoma related mutations occurring in the RAS/RAF/MEK/ERK pathway (e.g. NRASQ61K, BRAFV600E), inhibition of this signaling cascade is deemed to be a promising therapeutic strategy for the treatment of malignant melanoma. However, although in clinical trials mono-therapeutic treatment with MEK- or RAF inhibitors was successful in the short run, it failed to show satisfactory long-lasting effects. Hence, combination therapies using a MAPK pathway inhibitor and an additional therapy are currently under investigation. I was able to demonstrate that inhibition of MEK using the highly specific inhibitor PD184352 can have a protective effect on melanoma cells with regard to their susceptibility towards the apoptosis inducing agent cisplatin. Single application of cisplatin led to strong DNA damage and the induction of caspase-dependent apoptosis. Additional administration of the MEK inhibitor, however, strongly reduced the apoptosis inducing effect of cisplatin in several melanoma cell lines, These cells displayed an increased activation of the serine/threonine kinase AKT after MEK inhibition. This AKT activation concomitantly led to the phosphorylation of FOXO transcription factors, attenuating the cisplatin induced expression of the BH3-only protein PUMA. PUMA in turn was important to mediate the apoptosis machinery after cisplatin treatment. My results also indicate a participation of RTKs, in particular EGFR, in mediating MEK inhibitor induced activation of AKT. These results demonstrate that inhibition of the RAS/RAF/MEK/ERK signaling pathway in melanoma cell lines does not necessilary have favourable effects in a cytotoxic co-treatment situation. Instead, it can even enhance melanoma survival under pro-apoptotic conditions.
Dynamic interactions and their changes are at the forefront of current research in bioinformatics and systems biology. This thesis focusses on two particular dynamic aspects of cellular adaptation: miRNA and metabolites.
miRNAs have an established role in hematopoiesis and megakaryocytopoiesis, and platelet miRNAs have potential as tools for understanding basic mechanisms of platelet function. The thesis highlights the possible role of miRNAs in regulating protein translation in platelet lifespan with relevance to platelet apoptosis and identifying involved pathways and potential key regulatory molecules. Furthermore, corresponding miRNA/target mRNAs in murine platelets are identified. Moreover, key miRNAs involved in aortic aneurysm are predicted by similar techniques. The clinical relevance of miRNAs as biomarkers, targets, resulting later translational therapeutics, and tissue specific restrictors of genes expression in cardiovascular diseases is also discussed.
In a second part of thesis we highlight the importance of scientific software solution development in metabolic modelling and how it can be helpful in bioinformatics tool development along with software feature analysis such as performed on metabolic flux analysis applications. We proposed the “Butterfly” approach to implement efficiently scientific software programming. Using this approach, software applications were developed for quantitative Metabolic Flux Analysis and efficient Mass Isotopomer Distribution Analysis (MIDA) in metabolic modelling as well as for data management. “LS-MIDA” allows easy and efficient MIDA analysis and, with a more powerful algorithm and database, the software “Isotopo” allows efficient analysis of metabolic flows, for instance in pathogenic bacteria (Salmonella, Listeria). All three approaches have been published (see Appendices).
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.
For determination of structures and structural dynamics of proteins organic fluorophores are a standard instrument. Intra- and intermolecular contact of biomolecular structures are determined in time-resolved and stationary fluorescence microscopy experiments by quenching of organic fluorophores due to Photoinduced Electron Transfer (PET) and dimerization interactions. Using PET we show in this work that end-to-end contact dynamics of serine-glycine peptides are slowed down by glycosylation. This slow down is due to a change in reaction enthalpy for end-to-end contact and is partly compensated by entropic effects. In a second step we test how dimerization of MR121 fluorophore pairs reports on end-to-end contact dynamics. We show that in aqueous solutions containing strong denaturants MR121 dimerization reports advantageously on contact dynamics for glycine-serine oligopeptides compared to the previously used MR121/tryptophane PET reporters. Then we analyze dimer interactions and quenching properties of different commercially available fluorophores being standards in Förster Resonance Energy Transfer (FRET) measurements. Distances in biomolecules are determinable using FRET, but for very flexible biomolecules the analysis of masurement data can be distorted if contact of the two FRET fluorophores is likely. We quantify how strong the quenching of fluorophore pairs with two different or two identical fluorophores is. Dimer spectra and association constants are quantified to estimate if fluophores are applicable in various applications, e.g. in FRET measurements with unstructured peptides and proteins.
Switches in trypanosome differentiation: ALBA proteins acting on post-transcriptional mRNA control
(2011)
Trypanosoma brucei is a digenetic eukaryotic parasite that develops in different tissues of a mammalian host and a tsetse fly. It is responsible for sleeping sickness in sub-saharan Africa. The parasite cycle involves more than nine developmental stages that can be clearly distinguished by their general morphology, their metabolism and the relative positioning of their DNA-containing organelles. During their development, trypanosomes remain exclusively extracellular and encounter changing environments with different physico-chemical properties (nutritional availability, viscosity, temperature, etc.). It has been proposed that trypanosomes use their flagellum as a sensing organelle, in agreement with the established role of structurally-related cilia in metazoa and ciliates. Recognition of environmental triggers is presumed to be at the initiation of differentiation events, leading to the parasite stage that is the best suited to the new environment. These changes are achieved by the modification of gene expression programmes, mostly underlying post-transcriptional control of mRNA transcripts. We first demonstrate that the RNA-binding proteins ALBA3/4 are involved in specific differentiation processes during the parasite development in the fly. They are cytosolic and expressed throughout the parasite cycle with the exception of the stages found in the tsetse fly proventriculus, as shown by both immunofluorescence and live cell analysis upon endogenous tagging with YFP. Knock-down of both proteins in the developmental stage preceding these forms leads to striking modifications: cell elongation, cell cycle arrest and relocalization of the nucleus in a posterior position, all typical of processes acting in parasites found in the proventriculus region. When ALBA3 is over-expressed from an exogenous copy during infection, it interferes with the relocalization of the nucleus in proventricular parasites. This is not observed for ALBA4 over-expression that does not visibly impede differentiation. Both ALBA3/4 proteins react to starvation conditions by accumulating in cytoplasmic stress granules together with DHH1, a recognized RNA-binding protein. ALBA3/4 proteins also partially colocalize with granules formed by polyA+ RNA in these conditions. We propose that ALBA are involved in trypanosome differentiation processes where they control a subset of developmentally regulated transcripts. These processes involving ALBA3/4 are likely to result from the specific activation of sensing pathways. In the second part of the thesis, we identify novel flagellar proteins that could act in sensing mechanisms. Several protein candidates were selected from a proteomic analysis of intact flagella performed in the host laboratory. This work validates their flagellar localization with high success (85% of the proteins examined) and defines multiple different patterns of protein distribution in the flagellum. Two proteins are analyzed during development, one of them showing down-regulation in proventricular stages. The functional analysis of one novel flagellar membrane protein reveals its rapid dynamics within the flagellum but does not yield a visible phenotype in culture. This is coherent with sensory function that might not be needed in stable culture conditions, but could be required in natural conditions during development. In conclusion, this work adds new pieces to the puzzle of identifying molecular switches involved in developmental mRNA control and environmental sensing in trypanosome stages in the tsetse fly.
In contrast to c-Myc, a deregulated expression of the MYCN gene is restricted to human neuroendocrine tumours. In most cases, the excessive activity of N-Myc results from a MYCN amplification. In neuroblastoma, amplification of MYCN is a predictor of poor prognosis and resistance to therapy. The inability to target the N-Myc protein directly necessitates the search for alternative targets. This project aimed at identifying genes specifically required for growth and survival of cells that express high levels of N-Myc using high-throughput shRNA screening combined with next generation sequencing. The identification and analysis of these genes will shed light on functional interaction partners of N-Myc.
We screened a shRNA library containing 18,327 shRNAs and identified 148 shRNAs, which were selectively depleted in the presence of active N-Myc. In addition, shRNAs targeting genes that are involved in p53 and ARF turnover and apoptosis were depleted in the cell population during the screen. These processes are known to affect N-Myc-mediated apoptosis. Consequently, these results biologically validated the screen. The 148 shRNAs that showed a significant synthetic lethal interaction with high levels of N-Myc expression were further analysed using the bioinformatics program DAVID. We found an enrichment of shRNAs that target genes involved in specific biological processes. For example, we validated synthetic lethal interactions for genes such as, THOC1, NUP153 and LARP7, which play an important role in the process of RNA polymerase II-mediated transcription elongation. We also validated genes that are involved in the neddylation pathway.
In the screen we identified Cullin 3, which is a component of the BTB-CUL3-Rbx1 ubiquitin ligase that is involved in the turnover of Cyclin E. Depletion of cullin 3 and activation of N-Myc was found to synergistically increase Cyclin E expression to supraphysiological levels, inducing S-phase arrest and a strong DNA damage response.
Together with results from a proteomics analysis of N-Myc associated proteins, our results lead us to the following hypothesis: In a neuroblastoma cell, the high levels of N-Myc result in a conflict between RNA polymerase II and the replication machinery during S-phase. The newly identified interaction partners of N- Myc are required to solve this conflict. Consequently, loss of the interaction leads to a massive DNA damage and the induction of apoptosis. In addition, inhibition or depletion of the essential components of the neddylation pathway also results in an unresolvable problem during S-phase.
Synaptic plasticity determines the development of functional neural circuits. It is widely accepted as the mechanism behind learning and memory. Among different forms of synaptic plasticity, Hebbian plasticity describes an activity-induced change in synaptic strength, caused by correlated pre- and postsynaptic activity. Additionally, Hebbian plasticity is characterised by input specificity, which means it takes place only at synapses, which participate in activity. Because of its correlative nature, Hebbian plasticity suggests itself as a mechanism behind associative learning.
Although it is commonly assumed that synaptic plasticity is closely linked to synaptic activity during development, the mechanistic understanding of this coupling is far from complete.
In the present study channelrhodopsin-2 was used to evoke activity in vivo, at the glutamatergic Drosophila neuromuscular junction. Remarkably, correlated pre- and postsynaptic stimulation led to increased incorporation of GluR-IIA-type glutamate receptors into postsynaptic receptor fields, thus boosting postsynaptic sensitivity. This phenomenon is input-specific.
Conversely, GluR-IIA was rapidly removed from synapses at which neurotransmitter release failed to evoke substantial postsynaptic depolarisation. This mechanism might be responsible to tame uncontrolled receptor field growth. Combining these results with developmental GluR-IIA dynamics leads to a comprehensive physiological concept, where Hebbian plasticity guides growth of postsynaptic receptor fields and sparse transmitter release stabilises receptor fields by preventing overgrowth.
Additionally, a novel mechanism of retrograde signaling was discovered, where direct postsynaptic channelrhodopsin-2 based stimulation, without involvement of presynaptic neurotransmitter release, leads to presynaptic depression. This phenomenon is reminiscent of a known retrograde homeostatic mechanism, of inverted polarity, where neurotransmitter release is upregulated, upon reduction of postsynaptic sensitivity.
Malaria is a challenging infection with increasing and wide-spread treatment failure risk due to resistance. With a estimated death toll of 1-3 Million per year, most cases of Malaria affect children under the age of five years in Sub-Saharan Africa. In this thesis, I analyse the current status of malaria control (focussing on diagnosis and therapy) in Burkina Faso to show how this disease burdens public health in endemic countries and to identify possible approaches to improvement. MB is discussed as a therapeutic option under these circumstances.
Burkina Faso is used as a representative example for a country in Sub-Saharan Africa with high endemicity for malaria and is here portrayed, its health system characterised and discussed under socioeconomic aspects.
More than half of this country’s population live in absolute poverty. The burden that malaria, especially treatment cost, poses on these people cannot be under-estimated.
A retrospective study of case files from the university pediatric hospital in Burkina Faso’s capital, Ouagadougou, shows that the case load is huge, and especially the specific diagnosis of severe malaria is difficult to apply in the hospital’s daily routine. Treatment policy as proposed by WHO is not satisfactorily implemented neither in home treatment nor in health services, as data for pretreatment clearly show.
In the face of growing resistance in malaria parasites, pharmacological combination therapies are important. Artemisinins currently are the last resort of malaria therapy. As I show with homology models, even this golden bullet is not beyond resistance development. Inconsidered mass use has rendered other drugs virtually useless before. Artemisinins should thus be protected similar to reserve antibiotics against multi-resistant bacteria.
There is accumulating evidence that MB is an effective drug against malaria. Here the biological effects of both MB alone and in combination therapy is explored via modeling and experimental data. Several different lines of MB attack on Plasmodium redox defense were identified by analysis of the network effects. Next, CQ resistance based on Pfmdr1 and PfCRT transporters as well as SP resistance were modeled in silico. Further modeling shows that MB has a favorable synergism on antimalarial network effects with these commonly used antimalarial drugs, given their correct application.
Also from the economic point of view MB shows great potential: in terms of production price, it can be compared to CQ, which could help to diminuish the costs of malaria treatment to affordable ranges for those most affected and struk by poverty.
Malaria control is feasible, but suboptimal diagnosis and treatment are often hindering the achievment of this goal. In order to achieve malaria control, more effort has to be made to implement better adjusted and available primary treatment strategies for uncomplicated malaria that are highly standardised. Unfortunately, campaigns against malaria are chronically underfinanced. In order to maximize the effect of available funds, a cheap treatment option is most important, especially as pharmaceuticals represent the biggest single matter of expense in the fight against malaria.
Post-translational histone modifications (PTMs) such as methylation of lysine residues influence chromatin structure and function. PTMs are involved in different cellular processes such as DNA replication, transcription and cell differentiation. Deregulations of PTM patterns are responsible for a variety of human diseases including acute leukemia. DOT1 enzymes are highly conserved histone methyltransferases that are responsible for methylation of lysine 79 on histone H3 (H3K79). Most eukaryotes contain one single DOT1 enzyme, whereas African trypanosomes have two homologues, DOT1A and DOT1B, which methylate H3K76 (H3K76 is homologous to H3K79 in other organisms). DOT1A is essential and mediates mono- and di-methylations, whereas DOT1B additionally catalyzes tri-methylation of H3K76. However, a mechanistic understanding how these different enzymatic activities are achieved is lacking. This thesis exploits the fact that trypanosomes possess two DOT1 enzymes with different catalytic properties to understand the molecular basis for the differential product-specificity of DOT1 enzymes. A trypanosomal nucleosome reconstitution system was established to analyze methyltransferase activity under defined in vitro conditions. Homology modeling allowed the identification of critical residues within and outside the catalytic center that modulate product-specificity. Exchange of these residues transferred the product-specificity from one enzyme to the other and revealed regulatory domains adjacent to the catalytic center. This work provides the first evidence that few specific residues in DOT1 enzymes are crucial to catalyze methyl-state-specific reactions. These results have also consequences for the functional understanding of homologous enzymes in other eukaryotes.
Combined effects of climate change and extreme events on plants, arthropods and their interactions
(2013)
I. Global climate change directly and indirectly influences biotic and abiotic components of ecosystems. Changes in abiotic ecosystem components caused by climate change comprise temperature increases, precipitation changes and more frequently occurring extreme events. Mediated by these abiotic changes, biotic ecosystem components including all living organisms will also change. Expected changes of plants and animals are advanced phenologies and range shifts towards higher latitudes and altitudes which presumably induce changes in species interactions and composition. Altitudinal gradients provide an optimal opportunity for climate change studies, because they serve as natural experiments due to fast changing climatic conditions within short distances. In this dissertation two different approaches were conducted to reveal species and community responses to climate change. First, species richness and community trait analyses along an altitudinal gradient in the Bavarian Alps (chapters II, III) and second, climate change manipulation experiments under different climatic contexts (chapters IV, V, IV). II. We performed biodiversity surveys of butterfly and diurnal moth species on 34 grassland sites along an altitudinal gradient in the National Park Berchtesgaden. Additionally, we analysed the dominance structure of life-history traits in butterfly assemblages along altitude. Species richness of butterflies and diurnal moths decreased with increasing altitude. The dominance of certain life-history-traits changed along the altitudinal gradient with a higher proportion of larger-winged species and species with higher egg numbers towards higher altitudes. However, the mean egg maturation time, population density and geographic distribution within butterfly assemblages decreased with increasing altitude. Our results indicate that butterfly assemblages were mainly shaped by environmental filtering. We conclude that butterfly assemblages at higher altitudes will presumably lack adaptive capacity to future climatic conditions, because of specific trait combinations. III. In addition to butterfly and diurnal moth species richness we also studied plant species richness in combination with pollination type analyses along the altitudinal gradient. The management type of the alpine grasslands was also integrated in the analyses to detect combined effects of climate and management on plant diversity and pollination type. Plant species richness was highest at intermediate altitudes, whereby the management type influenced the plant diversity with more plant species at grazed compared to mown or non-managed grasslands. The pollination type was affected by both the changing climate along the gradient and the management type. These results suggest that extensive grazing can maintain high plant diversity along the whole altitudinal gradient. With ongoing climate change the diversity peak of plants may shift upwards, which can cause a decrease in biodiversity due to reduced grassland area but also changes in species composition and adaptive potential of pollination types. IV. We set up manipulation experiments on 15 grassland sites along the altitudinal gradient in order to determine the combined effects of extreme climatic events (extreme drought, advanced and delayed snowmelt) and elevation on the nutritional quality and herbivory rates of alpine plants. The leaf CN (carbon to nitrogen) ratio and the plant damage through herbivores were not significantly affected by the simulated extreme events. However, elevation influenced the CN ratios and herbivory rates of alpine plants with contrasting responses between plant guilds. Furthermore, we found differences in nitrogen concentrations and herbivory rates between grasses, legumes and forbs, whereas legumes had the highest nitrogen concentrations and were damaged most. Additionally, CN ratios and herbivory rates increased during the growing season, indicating a decrease of food plant quality during the growing season. Contrasting altitudinal responses of grasses, legumes and forbs presumably can change the dominance structure among these plant guilds with ongoing climate change. V. In this study we analysed the phenological responses of grassland species to an extreme drought event, advanced and delayed snowmelt along the altitudinal gradient. Advanced snowmelt caused an advanced beginning of flowering, whereas this effect was more pronounced at higher than at lower altitudes. Extreme drought and delayed snowmelt had rather low effects on the flower phenology and the responses did not differ between higher and lower sites. The strongest effect influencing flower phenology was altitude, with a declining effect through the season. The length of flowering duration was not significantly influenced by treatments. Our data suggest that plant species at higher altitudes may be more affected by changes in snowmelt timing in contrast to lowland species, as at higher altitudes more severe changes are expected. However, the risk of extreme drought events on flowering phenology seems to be low. VI. We established soil-emergence traps on the advanced snowmelt and control treatment plots in order to detect possible changes in abundances and emergence phenologies of five arthropod orders due to elevation and treatment. Additionally, we analysed the responses of Coleoptera species richness to elevation and treatment. We found that the abundance and species richness of Coleoptera increased with elevation as well as the abundance of Diptera. However, the abundance of Hemiptera decreased with elevation and the abundances of Araneae and Hymenoptera showed no elevational patterns. The advanced snowmelt treatment increased the abundances of Araneae and Hymenoptera. The emergence of soil-hibernating arthropods was delayed up to seven weeks at higher elevations, whereas advanced snowmelt did not influence the emergence phenology of arthropods immediately after snowmelt. With climate change earlier snowmelt will occur more often, which especially will affect soil-hibernating arthropods in alpine regions and may cause desynchronisations between species interactions. VII. In conclusion, we showed that alpine ecosystems are sensitive towards changing climate conditions and extreme events and that many alpine species in the Bavarian Alps are endangered. Many alpine species could exist under warmer climatic conditions, however they are expected to be outcompeted by more competitive lowland species. Furthermore, host-parasite or predator-prey interactions can be disrupted due to different responses of certain guilds to climate change. Understanding and predicting the complex dynamics and potential risks of future climate change remains a great challenge and therefore further studies analysing species and community responses to climate change are needed.