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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.
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.
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).
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.
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.
The synaptonemal complex (SC) is a highly conserved structure in sexually reproducing organism. It has a tripartite, ladder-like organization and mediates the stable pairing, called synapsis, of the homologous chromosomes during prophase of meiosis I. Failure in homolog synapsis result in aneuploidy and/or apoptosis of the developing germ cells.
Since 1956, the SC is subject of intense research and its presence was described in various species from yeast to human. Its structure was maintained during millions of years of evolution consist-ing of two parallel lateral elements (LEs), joined by numerous transverse filaments (TFs) which run perpendicular to the LEs and an electron dense central element (CE) in the middle of the SC. Individual protein components, however, were characterized only in few available model organ-isms, as for example Saccharomyces cerevisiae, Arabidopsis thaliana, Drosophila melanogaster, Ceanorhabditis elegans and Mus musculus. Rather unexpectedly, these characterizations failed to detect an evolutionary homology between the protein components of the different SCs. This fact challenged the general idea of a single origin of the SC in the evolution of meiosis and sexual reproduction.
This thesis now addressed itself to the task to unravel the discrepancy between the high conser-vation of the SC structure and its diverse and apparently non-homologous protein composition, focusing on the animal kingdom. It is the first study dealing with the evolution of the SC in Meta-zoa and demonstrates the monophyly of the mammalian SC components in metazoan species. The thesis demonstrates that at least four out of seven murine SC proteins emerged in Eumeta-zoa at the latest and have been likewise part of an ancient SC as it can be found in the present-day cnidarian species Hydra. This SC displays the common organization and already possesses the minimal protein kit corresponding to the three different structural domains: LEs, TFs and the CE. Additionally, the individual phylogenies of the murine SC proteins revealed the dynamic evolu-tionary history of the ancient SC. Further components were added during the diversification of Bilateria and vertebrates while ancestral proteins likely duplicated in the vertebrate lineage and diversified or got lost in the branch leading to ecdysozoan species. It is hypothesized that the apparently non-homologous SC proteins in D. melanogaster and C. elegans actually do derive from the ancient SC proteins but diversified beyond recognition during the fast evolution of Ar-thropoda and Nematoda.
The study proposes Hydra as an alternative invertebrate model system for meiosis and SC re-search to the standard organisms D. melanogaster and C. elegans. Recent results about the cni-darian SC as well as the possible application of standard methods is discussed and summarized in the concluding section.