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Unter den sechs Arten der Gattung Listeria finden sich nur zwei pathogene Spezies. L. monocytogenes ist pathogen für Mensch und Tier, L. ivanovii nur tierpathogen. Beide Arten besitzen ein Virulenzgencluster, das auch als Pathogenitätsinsel LIPI-1 bezeichnet wird. Pathogenitätsinseln (PAIs) sind bei gram-negativen Bakterien weit verbreitet, wurden bei gram-positiven Pathogenen bisher jedoch nur selten beschrieben. In L. ivanovii wurde nun ein weiterer Virulenz-assoziierter, instabiler Chromosomenabschnitt entdeckt, der in einem Teilbereich Eigenschaften einer Pathogenitätsinsel besitzt. Ausgehend von einem spontanen, aber reproduzierbaren Deletionsereignis eines großen Genomabschnitts, der einige schon bekannte Virulenz-assoziierte Gene umfasst (i-inlE, i-inlF, smcL), wurden in Zusammenarbeit mit den Kooperationspartnern an der "Universidad Complutense de Madrid", insbesondere mit G. Domínguez-Bernal die komplette deletierte Region sowie flankierende Genombereiche genauer analysiert. Im Rahmen dieser Arbeit konnten rechts von dem bereits charakterisierten Gen smcL 13 neue Open Reading Frames (ORFs) bzw. Gene (ydeI, rnaH, norA) von L. ivanovii identifiziert werden, die größtenteils in der Deletionsmutante L. ivanovii GD-3 deletiert waren. Für die meisten Open Reading Frames konnten Homologien zu ORFs in den Genomsequenzen von L. monocytogenes und der apathogenen Art L. innocua gefunden werden. Eigene experimentelle Analysen zeigten zudem, dass diese ORFs in ähnlicher Anordnung auch in den apathogenen Arten L. seeligeri und L. welshimeri vorhanden sind, was wahrscheinlich macht, dass sie nicht an der Virulenz von Listerien beteiligt sind. G. Domínguez-Bernal fand im links von smcL liegenden Bereich eine Reihe neuer Internalingene, die alle spezifisch für L. ivanovii sind. Für die Gene i-inlE, i-inlF und smcL ist bereits bekannt, dass diese Virulenz-assoziiert sind. Dies führte zur Definition einer neuen, LIPI-2 genannten Pathogenitätsinsel in L. ivanovii, die außer smcL und i-inlFE alle neu gefundenen Internalingene umfasst. In dieser Arbeit durchgeführte Untersuchungen der LIPI-2 flankierenden Bereiche zeigten, dass diese in L. monocytogenes und auch den apathogenen Arten L. innocua, L. seeligeri und L. welshimeri bemerkenswert konserviert sind. Durch Transkriptionsuntersuchungen mittels RT-PCR wurde die Expression der neu identifizierten Gene analysiert. Hierbei wurden verschiedene Kulturbedingungen untersucht sowie die Transkription nach Infektion mehrerer Zelllinien bestimmt. Bei der Sequenzanalyse wurde für fast alle Internalingene eine PrfA-Box identifiziert und es bestätigte sich in dieser Arbeit, dass die meisten der Internalingene PrfA-abhängig exprimiert werden. Allerdings wiesen die einzelnen Gene kein einheitliches Transkriptionsprofil unter verschiedenen in vitro-Bedingungen auf. Eine Analyse der Genexpression nach Infektion verschiedener Zelllinien zeigte schließlich, dass die Internalingene während einer Infektion differentiell transkribiert werden und möglicherweise am Infektionsgeschehen beteiligt sind. Das Expressionsmuster der zu LIPI-2 benachbarten Open Reading Frames bestätigte, dass diese Gene PrfA-unabhängig und unter verschiedenen Bedingungen konstitutiv exprimiert werden. Das Expressionsmuster dieser Gene läßt den Schluss zu, dass sie vermutlich nicht zur Virulenz von L. ivanovii beitragen. Die Untersuchung der Virulenzclustergene in LIPI-1 schließlich zeigte eine deutliche PrfA-Abhängigkeit der Genexpression. Es konnte bestätigt werden, dass deren Transkription unter PrfA-induzierenden Bedingungen verstärkt wird. Zudem fand sich auch nach Infektion eine deutliche Expression dieser Gene.
Background: The frequency of the most observed cancer, Non Hodgkin Lymphoma (NHL), is further rising. Diffuse large B-cell lymphoma (DLBCL) is the most common of the NHLs. There are two subgroups of DLBCL with different gene expression patterns: ABC (“Activated B-like DLBCL”) and GCB (“Germinal Center B-like DLBCL”). Without therapy the patients often die within a few months, the ABC type exhibits the more aggressive behaviour. A further B-cell lymphoma is the Mantle cell lymphoma (MCL). It is rare and shows very poor prognosis. There is no cure yet. Methods: In this project these B-cell lymphomas were examined with methods from bioinformatics, to find new characteristics or undiscovered events on the molecular level. This would improve understanding and therapy of lymphomas. For this purpose we used survival, gene expression and comparative genomic hybridization (CGH) data. In some clinical studies, you get large data sets, from which one can reveal yet unknown trends. Results (MCL): The published proliferation signature correlates directly with survival. Exploratory analyses of gene expression and CGH data of MCL samples (n=71) revealed a valid grouping according to the median of the proliferation signature values. The second axis of correspondence analysis distinguishes between good and bad prognosis. Statistical testing (moderate t-test, Wilcoxon rank-sum test) showed differences in the cell cycle and delivered a network of kinases, which are responsible for the difference between good and bad prognosis. A set of seven genes (CENPE, CDC20, HPRT1, CDC2, BIRC5, ASPM, IGF2BP3) predicted, similarly well, survival patterns as proliferation signature with 20 genes. Furthermore, some bands could be associated with prognosis in the explorative analysis (chromosome 9: 9p24, 9p23, 9p22, 9p21, 9q33 and 9q34). Results (DLBCL): New normalization of gene expression data of DLBCL patients revealed better separation of risk groups by the 2002 published signature based predictor. We could achieve, similarly well, a separation with six genes. Exploratory analysis of gene expression data could confirm the subgroups ABC and GCB. We recognized a clear difference in early and late cell cycle stages of cell cycle genes, which can separate ABC and GCB. Classical lymphoma and best separating genes form a network, which can classify and explain the ABC and GCB groups. Together with gene sets which identify ABC and GCB we get a network, which can classify and explain the ABC and GCB groups (ASB13, BCL2, BCL6, BCL7A, CCND2, COL3A1, CTGF, FN1, FOXP1, IGHM, IRF4, LMO2, LRMP, MAPK10, MME, MYBL1, NEIL1 and SH3BP5; Altogether these findings are useful for diagnosis, prognosis and therapy (cytostatic drugs).
Untersuchungen der Transkriptionsebene individueller präimplantatorischer Embryonalstadien können wertvolle Informationen über den physiologischen Status der betrachteten Embryonen, die z.B. zur Verbesserung der Systeme zur In vitro-Produktion von Embryonen genutzt werden können, liefern. Bisher fehlte es jedoch an einer geeigneten Technologie, um eine große Anzahl von Transkripten in einzelnen Embryonen zu erfassen. Zielsetzung der vorliegenden Arbeit war es, ein Verfahren zur globalen Amplifikation embryonaler mRNA-Präparationen zu entwickeln, das die Analyse der Transkriptionsebene einzelner präimplantatorischer Embryonalstadien über die cDNA-Array-Technologie ermöglicht. Dazu wurde die Strategie gewählt, zwei bereits etablierte Amplifikationsverfahren, Polymerasekettenreaktion und In vitro-Transkription, zu kombinieren, um so synergistische Effekte beider Verfahren zu nutzen. Die Evaluierung des entwickelten Verfahrens zeigte eine hohe Reproduzierbarkeit der erhaltenen Genexpressionsdaten und belegte, dass die relativen Mengenverhältnisse einzelner mRNA-Spezies zueinander während der globalen mRNA-Amplifikation nur unwesentlich verändert wurden. Die entwickelte Methodik ist somit geeignet, komplexe Genexpressionsprofile einzelner Blastozysten zu erstellen und Unterschiede in der Expressionsstärke einzelner Transkripte zu detektieren. Es konnte weiterhin gezeigt werden, dass es möglich ist, über heterologe Hybridisierung Genexpressionsprofile boviner Blastozysten mit cDNA-Arrays, die murine Probensequenzen enthalten, reproduzierbar darzustellen. Neben der Detektion individueller Unterschiede in den Genexpressionsprofilen diverser muriner Embryonalstadien und boviner Blastozysten lag ein Schwerpunkt dieser Arbeit in der Untersuchung der Auswirkungen verschiedener in vitro-Produktionssysteme auf die embryonale Genexpression. Die erhaltenen cDNA-Array Expressionsdaten muriner Oozyten, Zweizeller und Blastozysten befanden sich dabei in Übereinstimmung mit Daten früherer Publikationen anderer Arbeitsgruppen. Genexpressionsprofile in vitro fertilisierter boviner Blastozysten ließen eine Beurteilung der Auswirkungen unterschiedlicher Proteinsupplemente des Kulturmediums auf die embryonale Genexpression zu. Im Rahmen dieser Arbeit wurden zum ersten Mal Genexpressionsprofile einzelner präimplantatorischer Säugerembryonen über cDNA-Array-Analyse erstellt. Die entwickelte Technologie ermöglicht es -bei Verwendung entsprechender cDNA-Array-Systeme-, eine theoretisch unbegrenzte Zahl von Transkripten in individuellen Säugerembryonen semiquantitativ zu erfassen. Dies ist ein wichtiger Schritt hin zu einem besseren Verständnis komplexer Regulationsabläufe während der frühen Embryonalentwicklung und einer besseren Beurteilung der Lebensfähigkeit und Entwicklungskompetenz in vitro produzierter Embryonen, was für die Verbesserung von In vitro-Produktionssystemen für Embryonen sowohl bei Tieren als auch beim Menschen unerlässlich ist.
Several novel synaptic proteins have been identified by monoclonal antibodies (mAbs) of the Würzburg hybridoma library generated against homogenized Drosophila brains, e.g. cysteine string protein, synapse-associated protein of 47 kDa, and Bruchpilot. However, at present no routine technique exists to identify the antigens of mAbs of our library that label only a small number of cells in the brain. Yet these antibodies can be used to reproducibly label and thereby identify these cells by immunohistochemical staining. Here we describe the staining patterns in the Drosophila brain for ten mAbs of the Würzburg hybridoma library. Besides revealing the neuroanatomical structure and distribution of ten different sets of cells we compare the staining patterns with those of antibodies against known antigens and GFP expression patterns driven by selected Gal4 lines employing regulatory sequences of neuronal genes. We present examples where our antibodies apparently stain the same cells in different Gal4 lines suggesting that the corresponding regulatory sequences can be exploited by the split-Gal4 technique for transgene expression exclusively in these cells. The detection of Gal4 expression in cells labeled by mAbs may also help in the identification of the antigens recognized by the antibodies which then in addition to their value for neuroanatomy will represent important tools for the characterization of the antigens. Implications and future strategies for the identification of the antigens are discussed.
DNA Methylation Mediated Control of Gene Expression Is Critical for Development of Crown Gall Tumors
(2013)
Crown gall tumors develop after integration of the T-DNA of virulent Agrobacterium tumefaciens strains into the plant genome. Expression of the T-DNA–encoded oncogenes triggers proliferation and differentiation of transformed plant cells. Crown gall development is known to be accompanied by global changes in transcription, metabolite levels, and physiological processes. High levels of abscisic acid (ABA) in crown galls regulate expression of drought stress responsive genes and mediate drought stress acclimation, which is essential for wild-type-like tumor growth. An impact of epigenetic processes such as DNA methylation on crown gall development has been suggested; however, it has not yet been investigated comprehensively. In this study, the methylation pattern of Arabidopsis thaliana crown galls was analyzed on a genome-wide scale as well as at the single gene level. Bisulfite sequencing analysis revealed that the oncogenes Ipt, IaaH, and IaaM were unmethylated in crown galls. Nevertheless, the oncogenes were susceptible to siRNA–mediated methylation, which inhibited their expression and subsequently crown gall growth. Genome arrays, hybridized with methylated DNA obtained by immunoprecipitation, revealed a globally hypermethylated crown gall genome, while promoters were rather hypomethylated. Mutants with reduced non-CG methylation developed larger tumors than the wild-type controls, indicating that hypermethylation inhibits plant tumor growth. The differential methylation pattern of crown galls and the stem tissue from which they originate correlated with transcriptional changes. Genes known to be transcriptionally inhibited by ABA and methylated in crown galls became promoter methylated upon treatment of A. thaliana with ABA. This suggests that the high ABA levels in crown galls may mediate DNA methylation and regulate expression of genes involved in drought stress protection. In summary, our studies provide evidence that epigenetic processes regulate gene expression, physiological processes, and the development of crown gall tumors.
In this thesis, the development of a phylogenetic DNA microarray, the analysis of several gene expression microarray datasets and new approaches for improved data analysis and interpretation are described. In the first publication, the development and analysis of a phylogenetic microarray is presented. I could show that species detection with phylogenetic DNA microarrays can be significantly improved when the microarray data is analyzed with a linear regression modeling approach. Standard methods have so far relied on pure signal intensities of the array spots and a simple cutoff criterion was applied to call a species present or absent. This procedure is not applicable to very closely related species with high sequence similarity because cross-hybridization of non-target DNA renders species detection impossible based on signal intensities alone. By modeling hybridization and cross-hybridization with linear regression, as I have presented in this thesis, even species with a sequence similarity of 97% in the marker gene can be detected and distinguished from related species. Another advantage of the modeling approach over existing methods is that the model also performs well on mixtures of different species. In principle, also quantitative predictions can be made. To make better use of the large amounts of microarray data stored in public databases, meta-analysis approaches need to be developed. In the second publication, an explorative meta-analysis exemplified on Arabidopsis thaliana gene expression datasets is presented. Integrating datasets studying effects such as the influence of plant hormones, pathogens and different mutations on gene expression levels, clusters of similarly treated datasets could be found. From the clusters of pathogen-treated and indole-3-acetic acid (IAA) treated datasets, representative genes were selected which pointed to functions which had been associated with pathogen attack or IAA effects previously. Additionally, hypotheses about the functions of so far uncharacterized genes could be set up. Thus, this kind of meta-analysis could be used to propose gene functions and their regulation under different conditions. In this work, also primary data analysis of Arabidopsis thaliana datasets is presented. In the third publication, an experiment which was conducted to find out if microwave irradiation has an effect on the gene expression of a plant cell culture is described. During the first steps, the data analysis was carried out blinded and exploratory analysis methods were applied to find out if the irradiation had an effect on gene expression of plant cells. Small but statistically significant changes in a few genes were found and could be experimentally confirmed. From the functions of the regulated genes and a meta-analysis with publicly available microarray data, it could be suspected that the plant cell culture somehow perceived the irradiation as energy, similar to perceiving light rays. The fourth publication describes the functional analysis of another Arabidopsis thaliana gene expression dataset. The gene expression data of the plant tumor dataset pointed to a switch from a mainly aerobic, auxotrophic to an anaerobic and heterotrophic metabolism in the plant tumor. Genes involved in photosynthesis were found to be repressed in tumors; genes of amino acid and lipid metabolism, cell wall and solute transporters were regulated in a way that sustains tumor growth and development. Furthermore, in the fifth publication, GEPAT (Genome Expression Pathway Analysis Tool), a tool for the analysis and integration of microarray data with other data types, is described. It consists of a web application and database which allows comfortable data upload and data analysis. In later chapters of this thesis (publication 6 and publication 7), GEPAT is used to analyze human microarray datasets and to integrate results from gene expression analysis with other datatypes. Gene expression and comparative genomic hybridization data from 71 Mantle Cell Lymphoma (MCL) patients was analyzed and allowed proposing a seven gene predictor which facilitates survival predictions for patients compared to existing predictors. In this study, it was shown that CGH data can be used for survival predictions. For the dataset of Diffuse Large B-cell lymphoma (DLBCL) patients, an improved survival predictor could be found based on the gene expression data. From the genes differentially expressed between long and short surviving MCL patients as well as for regulated genes of DLBCL patients, interaction networks could be set up. They point to differences in regulation for cell cycle and proliferation genes between patients with good and bad prognosis.
Assessing allele-specific gene expression (ASE) on a large scale continues to be a technically challenging problem. Certain biological phenomena, such as X chromosome inactivation and parental imprinting, affect ASE most drastically by completely shutting down the expression of a whole set of alleles. Other more subtle effects on ASE are likely to be much more complex and dependent on the genetic environment and are perhaps more important to understand since they may be responsible for a significant amount of biological diversity. Tools to assess ASE in a diploid biological system are becoming more reliable. Non-diploid systems are, however, not uncommon. In humans full or partial polyploid states are regularly found in both healthy (meiotic cells, polynucleated cell types) and diseased tissues (trisomies, non-disjunction events, cancerous tissues). In this work we have studied ASE in the medaka fish model system. We have developed a method for determining ASE in polyploid organisms from RNAseq data and we have implemented this method in a software tool set. As a biological model system we have used nuclear transplantation to experimentally produce artificial triploid medaka composed of three different haplomes. We measured ASE in RNA isolated from the livers of two adult, triploid medaka fish that showed a high degree of similarity. The majority of genes examined (82%) shared expression more or less evenly among the three alleles in both triploids. The rest of the genes (18%) displayed a wide range of ASE levels. Interestingly the majority of genes (78%) displayed generally consistent ASE levels in both triploid individuals. A large contingent of these genes had the same allele entirely suppressed in both triploids. When viewed in a chromosomal context, it is revealed that these genes are from large sections of 4 chromosomes and may be indicative of some broad scale suppression of gene expression.
The DREAM complex plays an important role in regulation of gene expression during the cell cycle. We have previously shown that the DREAM subunit LIN9 is required for early embryonic development and for the maintenance of the inner cell mass in vitro. In this study we examined the effect of knocking down LIN9 on ESCs. We demonstrate that depletion of LIN9 alters the cell cycle distribution of ESCs and results in an accumulation of cells in G2 and M and in an increase of polyploid cells. Genome-wide expression studies showed that the depletion of LIN9 results in downregulation of mitotic genes and in upregulation of differentiation-specific genes. ChIP-on chip experiments showed that mitotic genes are direct targets of LIN9 while lineage specific markers are regulated indirectly. Importantly, depletion of LIN9 does not alter the expression of pluripotency markers SOX2, OCT4 and Nanog and LIN9 depleted ESCs retain alkaline phosphatase activity. We conclude that LIN9 is essential for proliferation and genome stability of ESCs by activating genes with important functions in mitosis and cytokinesis.
In recent decades, our planet has undergone dramatic environmental changes resulting in the loss of numerous species. This contrasts with species that can adapt quickly to rapidly changing ambient conditions, which require physiological plasticity and must occur rapidly. The Western honeybee (Apis mellifera) apparently meets this challenge with remarkable success, as this species is adapted to numerous climates, resulting in an almost worldwide distribution. Here, coordinated individual thermoregulatory activities ensure survival at the colony level and thus the transmission of genetic material. Recently, we showed that shivering thermogenesis, which is critical for honeybee thermoregulation, depends on octopamine signaling. In this study, we tested the hypothesis that the thoracic neuro-muscular octopaminergic system strives for a steady-state equilibrium under cold stress to maintain endogenous thermogenesis. We can show that this applies for both, octopamine provision by flight muscle innervating neurons and octopamine receptor expression in the flight muscles. Additionally, we discovered alternative splicing for AmOARβ2. At least the expression of one isoform is needed to survive cold stress conditions. We assume that the thoracic neuro-muscular octopaminergic system is finely tuned in order to contribute decisively to survival in a changing environment.
HMGN Proteine sind Architekturelemente des Chromatins und besitzen die Fähigkeit, Chromatin aufzulockern. Sie ermöglichen anderen Proteinen den Zugang zu Nukleosomen und unterstützen DNA-abhängige Prozesse wie Replikation, Transkription und DNA-Reparatur. In dieser Arbeit wurde die funktionelle Rolle der HMGN Proteine während der Embryogenese am Beispiel des südafrikanischen Krallenfroschs Xenopus laevis untersucht. Dabei wurde entdeckt, dass sowohl die Expression als auch die zelluläre Verteilung der HMGN Proteine entwicklungsspezifisch reguliert ist. Eine Manipulation der HMGN Proteinmengen während der Embryonalentwicklung führte zu schweren Fehlentwicklungen in Postblastula Embryonen. In der Oogenese waren sowohl Xenopus HMGN mRNAs als auch Xenopus HMGN Proteine in allen Oozytenstadien nachweisbar. Interessanterweise waren HMGN Proteine in späteren Oozytenstadien nur im Zytoplasma zu finden und nicht mit Lampenbürstenchromosomen assoziiert. Im Zuge der Maturation der Oozyten zu Eiern verschwinden die Proteine gänzlich. Während der Embryogenese waren HMGN Proteine dann erst wieder ab der Blastula detektierbar, zeitgleich mit der transkriptionellen Aktivierung des embryonalen Genoms. Gleichzeitig wiesen ihre Expressionsmuster, zumindest auf mRNA-Ebene, auf Gewebspezifität hin. Whole mount in situ-Hybridisierungen und RT-PCR-Analysen zeigten eine erhöhte mRNA-Menge in mesodermalen und neuroektodermalen Geweben von Schwanzknospenstadien. Nach Injektion rekombinanter HMGN Proteine (Überexpression) oder Morpholino-Antisense-Oligonukleotiden (knock-down) in die Zygote entwickelten sich Embryonen mit offenen Rücken, stark verkürzten und gebogenen Körperachsen und deformierten Kopfstrukturen als Hauptmerkmale. Histologische Analysen und insbesondere die Magnetresonanz Bildgebung deuteten auf Fehler in der Mesodermdifferenzierung hin. Die Analysen zeigen, dass eine bestimmte kritische zelluläre HMGN Proteinmenge für eine korrekte Embryonalentwicklung von Xenopus laevis notwendig ist. Durch „animal cap assays“ und RT-PCR-Expressionsanalysen Mesoderm-spezifischer Gene konnte schließlich gezeigt werden, dass HMGN Proteine die Regulation Mesoderm-spezifischer Gene beeinflussen. Die Ergebnisse lassen vermuten, dass auch die HMGN-Genexpression während der Mesodermdifferenzierung reguliert wird. Durch eine Analyse des Expressionsbeginns entwicklungsrelevanter Gene während der Midblastula Transition konnte gezeigt werden, dass veränderte HMGN Proteinmengen den Expressionsbeginn spezifischer Gene wie Xbra und chordin beeinflussen. Damit konnte zum ersten Mal ein Einfluss dieser ubiquitären Chromatinproteine auf die Expression spezifischer Gene gefunden werden. Die durch HMGN Proteine verursachte fehlerhafte Expression von Xbra und chordin als Schlüsselgene der Mesodermdifferenzierung kann die Fehlentwicklungen mesodermaler Strukturen erklären.