Monogeneans from the family Diplozoidae (subclass Heteronchoinea) are bloodfeeding ectoparasites inhabiting gills of common carp. Digestion of blood in diplozoids is an intracellular process taking place in gut cells within lysosomal cycle in the presence of parasite's peptidases. However, information about the blood digestion comes only from ultrastructural and histochemical analyses. Therefore, I have focused in this work on biochemical and molecular characteristics of bioactive molecules which may participate in blood processing by E. nipponicum adults, especially cysteine peptidases of cathepsin L- and B- types, aspartic peptidases of cathepsin D-type, and Kunitz-type inhibitors of serine peptidases. In homogenates and excretory/secretory (E/S) products of E. nipponicum adults, an activity of cysteine peptidases of cathepsins L-type dominated, followed by an activity of cathepsin D-like aspartic peptidases and a minor cathepsin B-like activity. Inhibitors of the abovementioned peptidase types completely blocked hemoglobinolytic activity in the samples. In the transcriptome of E. nipponicum adults, ten cathepsin L-coding transcripts were found and only one cathepsin B-coding transcript. Primary structures of the encoded enzymes were bioinformatically and phylogenetically compared. Two abundant...

Krebs entsteht durch das Zusammenspiel von Keimbahn- und somatischen Mutationen sowie Umweltfaktoren. Für Fortschritte in Prävention, Früherkennung und Behandlung von Krebs ist es essenziell die phänotypischen Folgen dieser Mutationen und die Rolle von Umweltfaktoren bei der Steigerung des Krebsrisikos zu verstehen. In dieser Arbeit untersuche ich zunächst die Auswirkungen von Mutationen in einfachen Sequenzwiederholungsregionen (SSRs) auf das Zellwachstum in einem Hefemodell. In einem Mutationsakkumulationsexperiment in Stämmen mit defektem Mismatch-Reparatursystem zeige ich, dass die Störung von MutSβ zu einer erhöhten SSR-Mutationsrate führt, insbesondere bei SSR-Loci die länger als 8 bp sind. Meine Ergebnisse legen nahe, dass MutSβ hauptsächlich für die Reparatur an längeren Repeat-Loci verantwortlich ist. Schließlich zeige ich, dass SSR-Mutationen meist geringfügige, negative Auswirkungen auf das Zellwachstum haben. Als Nächstes untersuche ich die Auswirkungen von Zigarettenrauch auf das Transkriptom von zugänglichem Atemwegsgewebe am Beispiel des Nasenepithels von gesunden Freiwilligen und Patienten mit Verdacht auf oder diagnostiziertem Lungenkrebs. Ich stelle fest, dass Gene und biologische Funktionen, die durch das Rauchen beeinträchtigt werden, bei Patienten langsamer auf ein gesundes Ausgangsniveau zurückkehren. Zudem zeige ich, dass Patienten durch anhaltende, Rauch-assoziierte Immunveränderungen gekennzeichnet sind. Schließlich präsentiere ich einen innovativen Lungenkrebs-Klassifikator, der durch die Berücksichtigung der nasalen Genexpression von Rauch-assoziierten Genen eindeutig bessere Ergebnisse erzielt als ein Modell, das ausschließlich auf klinischen Informationen basiert. Damit belege ich das Potenzial der Genexpression des Nasenepithels zur Verbesserung der Risikostratifizierung auf Bevölkerungsebene anhand eines nicht-invasiven Tests. / Cancer is initiated and sustained by the interplay of germline and somatic mutations and environmental factors. Understanding the phenotypic consequences of mutations and the role of environmental factors in increasing cancer risk is key to improving cancer prevention, early detection, and treatment. In this thesis, I first take advantage of a yeast model to investigate the effects of mutations in simple sequence repeat regions (SSRs) on cell growth. I describe a mutation accumulation experiment conducted in strains with a deletion of the MutSβ gene, a component of the mismatch repair system (MMR). I show that abrogating MutSβ function leads to an increased SSR mutation rate, with a bias towards deletions. I also report a drastic increase in mutation rate in SSR loci longer that 8-bp, suggesting MutSβ is primarily responsible for repair at longer repeat loci. Finally, I show that many SSR mutations have small deleterious effects on cell growth. Next, I investigate the effects of cigarette smoke on the transcriptome of an accessible airway tissue, nasal epithelium, in a cohort of healthy volunteers and patients with suspected or diagnosed lung cancer. I find that smoke injury response is strikingly different in healthy individuals and clinic patients, with genes and biological functions affected by smoking showing a slower reversal to healthy baseline level in clinic patients. I find persistent smoking-associated immune alterations to be a hallmark of the clinic patients. Finally, I show that a lung cancer classifier including nasal expression of smoke-injury-associated genes performs better than a model based exclusively on clinical information, providing evidence for the potential of nasal epithelial gene expression to improve population-level risk stratification with the use of a non-invasive test.

Phylum Euglenozoa contsists of four groups - Euglenoidea, Kinetoplastea, Symbiontida and Diplonemea. Phototrophic euglenids, which constitute a clade, possess green plastid acquired via secondary endosymbiosis from green alga related to recent genus Pyramimonas. According to generally accepted plastid-late hypothesis, the endo- symbiosis took place after split between phototrophic euglenids and all other euglenozo- ans. Endosymbiotic event is always associated with gene transfer from endosymbiont to nuclei of host. Even if the endosymbiont is completely lost we should be able to observe enrichment of the host genome with the genes derived from endosymbiont. Some recent phylogenetic analyses uncovered genes related to green algae in trypanosomas (Kineto- plastea: Trypanosomatida). Based on this observation, authors postulated a hypothesis that the plastid was present already in common ancestor of kinetoplastids and euglenids and was lost in kinetoplastids and some euglenids including osmotrophic Rhabdomonas costata. During analysis of transcriptome of R. costata we found 63 genes, which could originated from green (24 genes) or other (49 genes) algae. In phylogenetic trees only one was robustly related to green and four were robustly related to other algae. Since the number of genes related to...

No description available.

Antibody-mediated rejection (AMR) is the main cause of the kidney graft dysfunction and its failure after transplantation. Antibodies lead to vascular damage that is either acute or chronic and manifests as sudden or progressive graft dysfunction. Risk factors for development of AMR are time spent on haemodialysis, retransplantation, previous sensitisation against HLA antigens, and persistence of panel-reactive antibodies. Diagnosis is based on detection of deposits of C4d component of complement in peritubular capilaries and presence of donor-specific antibodies (DSA). We can also observe injury caused by antibodies against non-HLA antigens without detection of anti-HLA DSA. Use of "molecular microscope" can be beneficial in diagnosis and stratification of the risk of graft failure. High expression of ENDAT (endothelial activation and injury transcript) improves prediction of kidney graft failure more than C4d staining. Based on gene expression, the AMR scoring system correlates with the diagnosis of AMR and predicts graft loss in the future. The main goal of our work was to recognize patients at risk of AMR. In our study, we confirmed the efficacy and safety of acute AMR therapy with plasmaphereses and administration of intravenous immunoglobulins for improving outcomes of kidney transplantation....

Ciliates are the most diversified protists in suboxic and anoxic habitats where they often form symbioses with prokaryotes. Although the diversity of anaerobic ciliates has been overlooked for a long time, anaerobic representatives can be found in most ciliate classes. This study focuses on anaerobic ciliates from the subclass Scuticociliatia, a neglected lineage, which belongs to the species-rich class Oligohymenophorea. One of the main outcomes resulting from this study is the discovery of a novel anaerobic clade of ciliates, from which only one species has been described molecularly to date. We have shown that the clade represents a diversified lineage, likely a new order. Thanks to the sampling of many freshwater and marine anoxic sediments, we have established the largest culture collection of anaerobic scuticociliates in the world. This has enabled us to determine the 18S rRNA gene sequences of 55 cultured anaerobic scuticociliates and to study their morphology both in-vivo and using various silver- impregnation methods. Besides, we applied transmission and scanning electron microscopy techniques to study the ultrastructure of both ciliates and symbionts. To identify the symbionts, we also employed other methods including microbiome sequencing and fluorescence in-situ hybridization. Since all...

Die embryonale Neurogenese in Drosophila ist eine hochgradig koordinierte Abfolge von Zellschicksalsentscheidungen, die viele Ähnlichkeiten mit der Entwicklung des Nervensystems in Wirbeltieren aufweist. Diese Zellschicksalsentscheidungen sind räumlich und zeitlich koordiniert. Diese Zellen entstehen an stereotypen Positionen in jedem Segment und sind entlang zweier räumlicher Achsen angeordnet: der dorsoventralen und der anteroposterioren Achse. Neuroblasten teilen sich, um stereotype Zelllinien zu bilden, und die Zellen weisen charakteristische Zellmorphologien und -ziele auf, wobei die molekularen Mechanismen, die diese Merkmale bestimmen, noch weitgehend unbekannt sind. Jahrzehnte der Genetik haben einige Faktoren aufgedeckt, die für viele dieser Entscheidungen notwendig sind, aber ein Verständnis der einzelnen neurogenen Linien auf Genomebene war bis vor kurzem in vivo unmöglich. Ich habe mRNA aus Einzelzellen verwendet, um die Transkriptomdynamik von Schicksalsentscheidungen in der frühen Entwicklung des Nervensystems zu untersuchen. Mein Ziel ist es, zu entschlüsseln, wie sich Zellen unterscheiden, wenn Entscheidungen getroffen werden, die für die Entwicklung des Nervensystems wesentlich sind. Ich habe Transkriptomdaten von einzelnen Zellen aus Zehntausenden von Neuroblasten während der gesamten embryonalen Neurogenese erstellt. Es gelang mir, spezifische neurogene Populationen und ihre Genexpressionsprofile entlang ihrer Differenzierungswege zu identifizieren. Ich konnte die komplizierten zeitlichen Achsen, die das sich entwickelnde embryonale Nervensystem formen, teilweise entschlüsseln - ein Prozess, der von der Fliege bis zum Menschen konserviert ist. Diese Arbeit hat die Identifizierung lokalisierter Marker und sogar spezifischer Neuroblasten ermöglicht. Dieses Verständnis kann nun mit Informationen über die einzelnen Zellschicksale kombiniert werden, aus denen diese Neuroblasten hervorgehen, wie z. B. ihre spezifischen neuronalen und glialen Schicksale. / Embryonic neurogenesis in Drosophila is a highly coordinated sequence of cell fate decisions that bears many similarities to the development of the nervous system in vertebrates. These cell fate decisions are spatially and temporally coordinated. These cells arise at stereotypic positions in each segment and are arranged along two spatial axes: the dorsoventral axis and the anteroposterior axis. Neuroblasts divide to give rise to stereotypic lineages and the cells exhibit characteristic cell morphologies, branching patterns, and targets, the molecular mechanisms that determine these characteristics are still largely unknown. Decades of genetics have uncovered some factors necessary for many of these decisions, but understanding individual neurogenic lineages at the genome level has been impossible in vivo until recently. I have used Single cell mRNA to study the transcriptome dynamics that accompany important fate decisions in early nervous system development. My goal is to decipher how cells differ when decisions are made that are essential for nervous system development. This knowledge is invaluable for developing models for the in vivo mechanisms that allow individual cells in the nervous system to specify and differentiate. I have generated transcriptome data of single cells from tens of thousands of neuroblasts throughout embryonic neurogenesis. I was able to identify specific neurogenic populations and their gene expression profiles along their differentiation pathways. I was able to partially decipher the intricate temporal axes that shape the developing embryonic nervous system, a process that is conserved from fly to human. Single-cell transcriptomics has enabled the identification of localized markers and even specific neuroblasts. This understanding can now be combined with information about the individual cell fates that give rise to these neuroblasts, such as their specific neuronal and glial fates.

The detection of non-protein-coding RNA (ncRNA) genes in bacteria and their diverse regulatory mode of action moved the experimental and bio-computational analysis of ncRNAs into the focus of attention. Regulatory ncRNA transcripts are not translated to proteins but function directly on the RNA level. These typically small RNAs have been found to be involved in diverse processes such as (post-)transcriptional regulation and modification, translation, protein translocation, protein degradation and sequestration. Bacterial ncRNAs either arise from independent primary transcripts or their mature sequence is generated via processing from a precursor. Besides these autonomous transcripts, RNA regulators (e.g. riboswitches and RNA thermometers) also form chimera with protein-coding sequences. These structured regulatory elements are encoded within the messenger RNA and directly regulate the expression of their “host” gene. The quality and completeness of genome annotation is essential for all subsequent analyses. In contrast to protein-coding genes ncRNAs lack clear statistical signals on the sequence level. Thus, sophisticated tools have been developed to automatically identify ncRNA genes. Unfortunately, these tools are not part of generic genome annotation pipelines and therefore computational searches for known ncRNA genes are the starting point of each study. Moreover, prokaryotic genome annotation lacks essential features of protein-coding genes. Many known ncRNAs regulate translation via base-pairing to the 5’ UTR (untranslated region) of mRNA transcripts. Eukaryotic 5’ UTRs have been routinely annotated by sequencing of ESTs (expressed sequence tags) for more than a decade. Only recently, experimental setups have been developed to systematically identify these elements on a genome-wide scale in prokaryotes. The first part of this thesis, describes three experimental surveys of exploratory field studies to analyze transcript organization in pathogenic bacteria. To identify ncRNAs in Pseudomonas aeruginosa we used a combination of an experimental RNomics approach and ncRNA prediction. Besides already known ncRNAs we identified and validated the expression of six novel RNA genes. Global detection of transcripts by next generation RNA sequencing techniques unraveled an unexpectedly complex transcript organization in many bacteria. These ultra high-throughput methods give us the appealing opportunity to analyze the complete RNA output of any species at once. The development of the differential RNA sequencing (dRNA-seq) approach enabled us to analyze the primary transcriptome of Helicobacter pylori and Xanthomonas campestris. For the first time we generated a comprehensive and precise transcription start site (TSS) map for both species and provide a general framework for the analysis of dRNA-seq data. Focusing on computer-aided analysis we developed new tools to annotate TSS, detect small protein-coding genes and to infer homology of newly detected transcripts. We discovered hundreds of TSS in intergenic regions, upstream of protein-coding genes, within operons and antisense to annotated genes. Analysis of 5’ UTRs (spanning from the TSS to the start codon of the adjacent protein-coding gene) revealed an unexpected size diversity ranging from zero to several hundred nucleotides. We identified and validated the expression of about 60 and about 20 ncRNA candidates in Helicobacter and Xanthomonas, respectively. Among these ncRNA candidates we found several small protein-coding genes that have previously evaded annotation in both species. We showed that the combination of dRNA-seq and computational analysis is a powerful method to examine prokaryotic transcriptomes. Experimental setups are time consuming and often combined with huge costs. Another limitation of experimental approaches is that genes which are expressed in specific developmental stages or stress conditions are likely to be missed. Bioinformatic tools build an alternative to overcome such restraints. General approaches usually depend on comparative genomic data and evolutionary signatures are used to analyze the (non-)coding potential of multiple sequence alignments. In the second part of my thesis we present our major update of the widely used ncRNA gene finder RNAz and introduce RNAcode, an efficient tool to asses local protein-coding potential of genomic regions. RNAz has been successfully used to identify structured RNA elements in all domains of life. However, our own experience and the user feedback not only demonstrated the applicability of the RNAz approach, but also helped us to identify limitations of the current implementation. Using a much larger training set and a new classification model we significantly improved the prediction accuracy of RNAz. During transcriptome analysis we repeatedly identified small protein-coding genes that have not been annotated so far. Only a few of those genes are known to date and standard proteincoding gene finding tools suffer from the lack of training data. To avoid an excess of false positive predictions, gene finding software is usually run with an arbitrary cutoff of 40-50 amino acids and therefore misses the small sized protein-coding genes. We have implemented RNAcode which is optimized for emerging applications not covered by standard protein-coding gene annotation software. In addition to complementing classical protein gene annotation, a major field of application of RNAcode is the functional classification of transcribed regions. RNA sequencing analyses are likely to falsely report transcript fragments (e.g. mRNA degradation products) as non-coding. Hence, an evaluation of the protein-coding potential of these fragments is an essential task. RNAcode reports local regions of high coding potential instead of complete protein-coding genes. A training on known protein-coding sequences is not necessary and RNAcode can therefore be applied to any species. We showed this with our analysis of the Escherichia coli genome where the current annotation could be accurately reproduced. We furthermore identified novel small protein-coding genes with RNAcode in this extensively studied genome. Using transcriptome and proteome data we found compelling evidence that several of the identified candidates are bona fide proteins. In summary, this thesis clearly demonstrates that bioinformatic methods are mandatory to analyze the huge amount of transcriptome data and to identify novel (non-)coding RNA genes. With the major update of RNAz and the implementation of RNAcode we contributed to complete the repertoire of gene finding software which will help to unearth hidden treasures of the RNA World.

The liver is the central metabolic hub in organisms and a complex, intertwining regulatory network guarantees efficient liver processes. The morphogenic Hedgehog pathway was recently shown to play a role in regulating the underlying genetic program. Transgenic mouse models with hepatocyte-specific inactivation of Hedgehog signaling showed alterations in insulin-like growth factor homeostasis and in energy metabolism associated with increased lipid accumulation in the liver. In this thesis, it was possible to connect the observed infertility of female knockout mice with an unexpected activation of sex steroid synthesis in the liver. Associated with increased steroidogenic gene expression exclusively in hepatocytes, the plasma testosterone level was significantly elevated, which led to androgenization and an anovulatory phenotype. With these characteristics, the mouse model mimicked the human polycystic ovarian syndrome and suggested an influence of liver and hepatic Hedgehog signaling on reproduction under disease conditions. Further, murine liver metabolism was challenged with starvation starting at different times of day. The transcriptomic results were analyzed with a self-organizing map approach, allowing an intuitive interpretation of data and a thus far unknown diurnally different response of hepatic regulatory mechanisms due to starvation was revealed. In contrast to the manifoldly published and observed switch from energy-consuming to energy-providing processes due to starvation started in the morning, evening starvation led to a novel hepatic expression signature with decreased gluconeogenic gene expression and increased levels of lipid and steroid metabolism-related genes. These differences can be explained by the equally diurnally regulated expression of the corresponding regulatory transcription factors and hormones. Additionally, lipidome analysis confirmed the diurnal differences after starvation. Thus, this study emphasized the immense impact of circadian regulation on liver metabolism and suggests high accuracy when starvation is the focus of research to avoid varying results.:BIBLIOGRAPHISCHE DARSTELLUNG ................................................................................ II LIST OF ABBREVIATIONS .................................................................................................. III TABLE OF CONTENTS ....................................................................................................... IV SUMMARY ............................................................................................................................ 1 ZUSAMMENFASSUNG ......................................................................................................... 5 INTRODUCTION ................................................................................................................... 9 Liver architecture and metabolism ..................................................................................... 9 Diverse possibilities of liver metabolism regulation .......................................................... 10 Connection of Hedgehog signaling to hepatic metabolism ............................................... 10 Impact of feeding schemes on hepatic metabolism .......................................................... 13 Aims of the thesis ............................................................................................................ 14 References ...................................................................................................................... 15 CHAPTER 1 ........................................................................................................................ 18 CHAPTER 2 ........................................................................................................................ 39 PERSPECTIVE ................................................................................................................... 64 CURRICULUM VITAE ........................................................................................................... V PUBLICATIONS AND PRESENTATIONS ............................................................................ VI Publications ...................................................................................................................... VI Oral presentations ............................................................................................................ VI Poster presentations ........................................................................................................ VII AUTHOR CONTRIBUTION STATEMENT .......................................................................... VIII SELBSTSTÄNDIGKEITSERKLÄRUNG .............................................................................. XII DANKSAGUNG .................................................................................................................. XIII

In dieser Dissertation haben wir das Verhalten menschlicher Zellen in Raum und Zeit untersucht. Hochwertige Datensätze subzellulärer Regionen in HEK293-Zellen wurden mit Hilfe der BirA* Proximity-Labelling-Aktivität erstellt, wobei die Lokalisierung auf zelluläre Regionen beschränkt wurde, die mit herkömmlichen Methoden nur schwer zu reinigen sind (d. h. die dem Zytosol zugewandten Seiten des ER, Mitochondrien und Plasma-membranen). Wir entwickelten daraufhin einen Ansatz zur Kartierung der Verteilung von Proteinen, die aktiv an RNA binden, und nannten ihn f-XRNAX. Wir stellten hintergrundkorrigierte Proteome für Zellkerne, Zytoplasma und Membranen von HEK293-Zellen her. Überraschenderweise wurden viele nicht-kanonische RBPs in der Membranfraktion identifiziert, und ihre Peptidprofile waren in Regionen mit hoher Dichte an intrinsisch ungeordneten Regionen angereichert, was auf eine möglicherweise schwache, durch diese nicht-strukturellen Motive vermittelte Interaktion mit RNA hinweist. Schließlich konnten wir die unterschiedliche Bindung desselben Proteins an RNA in verschiedenen HEK293-Kompartimenten nachweisen. Im zweiten Teil dieser Arbeit konzentrierten wir uns auf die Bestimmung und Quantifizierung von neu transkribierten RNAs auf Einzelzellebene. Die Kinetik der RNA-Transkription und -Degradation war bis vor kurzem auf Einzelzellebene nicht messbar. Daher haben wir einen neuen Ansatz (SLAM-Drop-seq genannt) entwickelt, indem wir die veröffentlichte SLAM-seq-Methode an Einzelzellen angepasst haben. Wir haben SLAM-Drop-seq verwendet, um die zeitabhängigen RNA-Kinetikraten der Transkription und des Umsatzes für Hunderte von oszillierenden Transkripten während des Zellzyklus von HEK293-Zellen zu schätzen. Wir fanden heraus, dass Gene ihre Expression mit unterschiedlichen Strategien regulieren und spezifische Modi zur Feinabstimmung ihrer kinetischen Raten entlang des Zellzyklus haben. / In this PhD dissertation we investigated the behaviour of human cells through space and time. High quality datasets of subcellular regions in HEK293 cells were generated using BirA* proximity labelling activity and restricting its localization at cellular regions difficult to purified with traditional methods (i.e., the cytosol-facing sides of the endoplasmic reticulum, mitochondria, and plasma membranes). We then developed an approach to map the distribution of proteins actively binding to RNA, and named it f-XRNAX. We recovered background-corrected proteomes for nuclei, cytoplasm and membranes of HEK293 cells. Surprisingly, many non-canonical RBPs were identified in the membrane fraction, and their peptide profiles were enriched in regions with high density of intrinsically disordered regions, indicating a possibly weak interaction with RNA mediated by these non-structural motives. Lastly, we provided evidence of the differential binding to RNA of the same protein in different HEK293 compartments. In the second part of this thesis, we focused on the determination and quantification of newly transcribed RNAs at the single-cell level. The kinetics of RNA transcription, processing and degradation were until recently not measurable at the single-cell level. Thus, we have developed a novel approach (called SLAM-Drop-seq ) by adapting the published SLAM-seq method to single cells. We used SLAM Drop-seq to estimate time-dependent RNA kinetics rates of transcription and turnover for hundreds of oscillating transcripts during the cell cycle of HEK293 cells. We found that genes regulate their expression with different strategies and have specific modes to fine-tune their kinetic rates along the cell cycle.