@phdthesis{BakariSoale2024,
  author    = {Bakari Soale, Majeed},
  title     = {Regulation of the Variant Surface Glycoprotein (VSG) Expression and Characterisation of the Nucleolar DExD/H box Protein Hel66 in \(Trypanosoma\) \(brucei\)},
  doi       = {10.25972/OPUS-25809},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-258090},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2024},
  abstract  = {The variant surface glycoprotein (VSG) of African trypanosomes plays an essential role in protecting the parasites from host immune factors. These trypanosomes undergo antigenic variation resulting in the expression of a single VSG isoform out of a repertoire of around 2000 genes. The molecular mechanism central to the expression and regulation of the VSG is however not fully understood. Gene expression in trypanosomes is unusual due to the absence of typical RNA polymerase II promoters and the polycistronic transcription of genes. The regulation of gene expression is therefore mainly post-transcriptional. Regulatory sequences, mostly present in the 3´ UTRs, often serve as key elements in the modulation of the levels of individual mRNAs. In T. brucei VSG genes, a 100 \% conserved 16mer motif within the 3´ UTR has been shown to modulate the stability of VSG transcripts and hence their expression. As a stability-associated sequence element, the absence of nucleotide substitutions in the motif is however unusual. It was therefore hypothesised that the motif is involved in other essential roles/processes besides stability of the VSG transcripts. In this study, it was demonstrated that the 100 \% conservation of the 16mer motif is not essential for cell viability or for the maintenance of functional VSG protein levels. It was further shown that the intact motif in the active VSG 3´ UTR is neither required to promote VSG silencing during switching nor is it needed during differentiation from bloodstream forms to procyclic forms. Crosstalk between the VSG and procyclin genes during differentiation to the insect vector stage is also unaffected in cells with a mutated 16mer motif. Ectopic overexpression of a second VSG however requires the intact motif to trigger silencing and exchange of the active VSG, suggesting a role for the motif in transcriptional VSG switching. The 16mer motif therefore plays a dual role in VSG in situ switching and stability of VSG transcripts. The additional role of the 16mer in the essential process of antigenic variation appears to be the driving force for the 100 \% conservation of this RNA motif. A screen aimed at identifying candidate RNA-binding proteins interacting with the 16mer motif, led to the identification of a DExD/H box protein, Hel66. Although the protein did not appear to have a direct link to the 16mer regulation of VSG expression, the DExD/H family of proteins are important players in the process of ribosome biogenesis. This process is relatively understudied in trypanosomes and so this candidate was singled out for detailed characterisation, given that the 16mer story had reached a natural end point. Ribosome biogenesis is a major cellular process in eukaryotes involving ribosomal RNA, ribosomal proteins and several non-ribosomal trans-acting protein factors. The DExD/H box proteins are the most important trans-acting protein factors involved in the biosynthesis of ribosomes. Several DExD/H box proteins have been directly implicated in this process in yeast. In trypanosomes, very few of this family of proteins have been characterised and therefore little is known about the specific roles they play in RNA metabolism. Here, it was shown that Hel66 is involved in rRNA processing during ribosome biogenesis. Hel66 localises to the nucleolus and depleting the protein led to a severe growth defect. Loss of the protein also resulted in a reduced rate of global translation and accumulation of rRNA processing intermediates of both the small and large ribosomal subunits. Hel66 is therefore an essential nucleolar DExD/H protein involved in rRNA processing during ribosome biogenesis. As very few protein factors involved in the processing of rRNAs have been described in trypanosomes, this finding represents an important platform for future investigation of this topic.},
  subject      = {Trypanosoma brucei},
  language  = {en}
}
@phdthesis{Blenk2007,
  author    = {Blenk, Steffen},
  title     = {Bioinformatical analysis of B-cell lymphomas},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-27421},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2007},
  abstract  = {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).},
  subject      = {Bioinformatik},
  language  = {en}
}
@phdthesis{Brede2013,
  author    = {Brede, Christian},
  title     = {Peripheral alloantigen expression directs the organ specific T cell infiltration after hematopoietic cell transplantation},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-85365},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2013},
  abstract  = {In acute graft-versus-host disease (GVHD) alloreactive donor T cells selectively damage skin, liver, and the gastrointestinal tract while other organs are rarely affected. The mechanism of this selective target tissue infiltration is not well understood. We investigated the importance of alloantigen expression for the selective organ manifestation by examining spatiotemporal changes of cellular and molecular events after allogeneic hematopoietic cell transplantation (allo-HCT). To accomplish this we established a novel multicolor light sheet fluorescence microscopy (LSFM) approach for deciphering immune processes in large tissue specimens on a single-cell level in 3 dimensions. We combined and optimized protocols for antibody penetration, tissue clearing, and triple-color illumination to create a method for analyzing intact mouse and human tissues. This approach allowed us to successfully quantify changes in expression patterns of mucosal vascular addressin cell adhesion molecule-1 (MAdCAM-1) and T cell responses in Peyer's patches following allo-HCT. In addition, we proofed that LSFM is suitable to map individual T cell subsets after HCT and detected rare cellular events. We employed this versatile technique to study the role of alloantigen expression for the selective organ manifestation after allo-HCT. Therefore, we used a T cell receptor (TCR) transgenic mouse model of GVHD that targets a single peptide antigen and thereby mimics a major histocompatibility complex (MHC)-matched single antigen mismatched (miHAg-mismatched) HCT. We transplanted TCR transgenic (OT-I) T cells into myeloablatively conditioned hosts that either express the peptide antigen ovalbumin ubiquitously (βa-Ova) or selectively in the pancreas (RIP-mOva), an organ that is normally not affected by acute GVHD. Of note, at day+6 after HCT we observed that OT-I T cell infiltration occurred in an alloantigen dependent manner. In βa-Ova recipients, where antigen was ubiquitously expressed, OT-I T cells infiltrated all organs and were not restricted to gastrointestinal tract, liver, and skin. In RIP-mOva recipients, where cognate antigen was only expressed in the pancreas, OT-I T cells selectively infiltrated this organ that is usually spared in acute GVHD. In conditioned RIP-mOva the transfer of 100 OT-I T cells sufficed to effectively infiltrate and destroy pancreatic islets resulting in 100\% mortality. By employing intact tissue LSFM in RIP-mOva recipients, we identified very low numbers of initial islet infiltrating T cells on day+4 after HCT followed by a massive T cell migration to the pancreas within the following 24 hours. This suggested an effective mechanism of effector T cell recruitment to the tissue of alloantigen expression after initial antigen specific T cell encounter. In chimeras that either expressed the model antigen ovalbumin selectively in hematopoietic or in parenchymal cells only, transplanted OT-I T cells infiltrated target tissues irrespective of which compartment expressed the alloantigen. As IFN-γ could be detected in the serum of transplanted ovalbumin expressing recipients (βa-Ova, βa-Ova-chimeras and RIP-mOva) at day+6 after HCT, we hypothesized that this cytokine may be functionally involved in antigen specific OT-I T cell mediated pathology. In vitro activated OT-I T cells responded with the production of IFN-γ upon antigen re-encounter suggesting that IFN-γ might be relevant in the alloantigen dependent organ infiltration of antigen specific CD8+ T cell infiltration after HCT. Based on these data we propose that alloantigen expression plays an important role in organ specific T cell infiltration during acute GVHD and that initial alloreactive T cells recognizing the cognate antigen propagate a vicious cycle of enhanced T cell recruitment that subsequently culminates in the exacerbation of tissue restricted GVHD.},
  subject      = {Alloantigen},
  language  = {en}
}
@phdthesis{Busold2006,
  author    = {Busold, Christian},
  title     = {Facilitating functional interpretation of microarray data by integration of gene annotations in Correspondence Analysis},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-21150},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2006},
  abstract  = {DNS-Chips ('Microarrays') haben sich zu einer der Standardmethoden zur Erstellung von genomweiten Expressionsstudien entwickelt. Mittlerweile wurden dazu eine Vielzahl von Methoden zur Identifizierung von differentiell regulierten Genen ver{\"o}ffentlicht. Ungeachtet dessen stellt die abschliessende funktionelle Interpretation der Ergebnisse einen der Engp{\"a}sse in der Analyse von Chip-Daten dar. Die Mehrzahl der Analysemethoden stellt die signifikant regulierten Gene in Listen dar, aus denen in einem weiteren Schritt gemeinsame funktionelle Eigenschaften abgeleitet werden m{\"u}ssen. Dies stellt nicht nur eine arbeitsintensive Arbeit dar, die mit steigender Anzahl an experimentellen Konditionen immer weniger praktikabel wird, sondern ist auch fehleranf{\"a}llig, da diese Auswertung im allgemeinen auf dem visuellen Vergleich von Listen beruht. In der vorliegenden Arbeit wurden Methoden f{\"u}r eine rechnergest{\"u}tzte Auswertung von funktionellen Geneigenschaften entwickelt und validiert. Hierzu wurde die 'Gene Ontology' als Quelle f{\"u}r die Annotationsdaten ausgew{\"a}hlt, da hier die Daten in einem Format gespeichert sind, das sowohl eine leichte menschliche Interaktion sowie die statistische Analyse der Annotationen erm{\"o}glicht. Diese Genannotation wurden als Zusatzinformationen in die Korrespondenzanalyse integriert, welches eine simultane Darstellung von Genen, Hybridisierungen und funktionellen Kategorien in einer Grafik erm{\"o}glicht. Aufgrund der st{\"a}ndig wachsenden Anzahl an verf{\"u}gbaren Annotationen und der Tatsache, daß zwischen den meisten experimentellen Bedingungen nur wenige funktionelle Prozesse differentiell reguliert sind, wurden Filter entwickelt, die die Anzahl der dargestellten Annotationen auf eine im gegebenen experimentellen Kontext relevante Gruppe reduzieren. Die Anwendbarkeit der Visualisierung und der Filter wurde auf Datens{\"a}tzen unterschiedlicher Komplexit{\"a}t getestet: beginnend mit dem gut verstandenen Glukosestoffwechsel im Modellorganismus S. cerevisiae, bis hin zum Vergleich unterschiedlicher Tumortypen im Menschen. In beiden F{\"a}llen generierte die Methode gut zu interpretierende Grafiken, in denen die funktionellen Hauptunterschiede durch die dargestellten Annotationen gut beschrieben werden [90]. W{\"a}hrend die Integration von Annotationsdaten wie GO die funktionelle Interpretation vereinfacht, fehlt die M{\"o}glichkeit zur Identifikation einzelner relevanter Schl{\"u}sselgene. Um eine solche Analyse zu erm{\"o}glichen, wurden Daten zum Vorkommen von Transskriptionsfaktorbindestellen in den 5'-Bereichen von Genen integriert. Auch diese Methode wurde an Datens{\"a}tzen von S. cerevisiae und vergleichenden Studien von humanen Krebszelllinien validiert.In beiden F{\"a}llen konnten Transkriptionsfaktoren identifiziert werden, die f{\"u}r die beobachteten transkriptionellen Unterschiede von entscheidender Bedeutung sind [206]. Zusammenfassend, erm{\"o}glicht die Integration von Zusatzinformationen in die Korrespondenzanalyse eine simultane Visualisierung von Genen, Hybridisierungen und Annotationsdaten in einer einzigen, gut zu interpretierenden Grafik. Dies erlaubt auch in komplexen experimentellen Bedingungen eine intuitive Identifizierung von relevanten Annotationen. Der hier vorgestellte Ansatz, ist nicht auf die gezeigten Datenstrukturen beschr{\"a}nkt, sondern kann auf die Mehrzahl der verf{\"u}gbaren Annotationsdaten angewendet werden.},
  subject      = {Microarray},
  language  = {en}
}
@phdthesis{Engelmann2008,
  author    = {Engelmann, Julia Cath{\´e}rine},
  title     = {DNA microarrays: applications and novel approaches for analysis and interpretation},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-29747},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2008},
  abstract  = {In der vorliegenden Dissertation wird die Entwicklung eines phylogenetischen DNA Microarrays, die Analyse von mehreren Microarray-Genexpressionsdatens{\"a}tzen und neue Ans{\"a}tze f{\"u}r die Datenanalyse und Interpretation der Ergebnisse vorgestellt. Die Entwicklung und Analyse der Daten eines phylogenetischen DNA Microarrays wird in der ersten Publikation dargestellt. Ich konnte zeigen, dass die Spezies-Detektion mit phylogenetischen Microarrays durch die Datenanalyse mit einem linearen Regressionsansatz signifikant verbessert werden kann. Standard-Methoden haben bislang nur Signalintensit{\"a}ten betrachtet und eine Spezies als an- oder abwesend bezeichnet, wenn die Signalintensit{\"a}t ihres Messpunktes oberhalb eines willk{\"u}rlich gesetzten Schwellenwertes lag. Dieses Verfahren ist allerdings aufgrund von Kreuz-Hybridisierungen nicht auf sehr nah verwandte Spezies mit hoher Sequenzidentit{\"a}t anwendbar. Durch die Modellierung des Hybridisierungs und Kreuz-Hybridisierungsverhaltens mit einem linearen Regressionsmodell konnte ich zeigen, dass Spezies mit einer Sequenz{\"a}hnlichkeit von 97\% im Markergen immer noch unterschieden werden k{\"o}nnen. Ein weiterer Vorteil der Modellierung ist, dass auch Mischungen verschiedener Spezies zuverl{\"a}ssig vorhergesagt werden k{\"o}nnen. Theoretisch sind auch quantitative Vorhersagen mit diesem Modell m{\"o}glich. Um die großen Datenmengen, die in {\"o}ffentlichen Microarray-Datenbanken abgelegt sind besser nutzen zu k{\"o}nnen, bieten sich Meta-Analysen an. In der zweiten Publikation wird eine explorative Meta-Analyse auf Arabidopsis thaliana-Datens{\"a}tzen vorgestellt. Mit der Analyse verschiedener Datens{\"a}tze, die den Einfluss von Pflanzenhormonen, Pathogenen oder verschiedenen Mutationen auf die Genexpression untersucht haben, konnten die Datens{\"a}tze anhand ihrer Genexpressionsprofile in drei große Gruppen eingeordnet werden: Experimente mit Indol-3-Essigs{\"a}ure (IAA), mit Pathogenen und andere Experimente. Gene, die charakteristisch f{\"u}r die Gruppe der IAA-Datens{\"a}tze beziehungsweise f{\"u}r die Gruppe der Pathogen-Datens{\"a}tze sind, wurden n{\"a}her betrachtet. Diese Gene hatten Funktionen, die bereits mit Pathogenbefall bzw. dem Einfluss von IAA in Verbindung gebracht wurden. Außerdem wurden Hypothesen {\"u}ber die Funktionen von bislang nicht annotierten Genen aufgestellt. In dieser Arbeit werden auch Prim{\"a}ranalysen von einzelnen Arabidopsis thaliana Genexpressions-Datens{\"a}tzen vorgestellt. In der dritten Publikation wird ein Experiment beschrieben, das durchgef{\"u}hrt wurde um herauszufinden ob Mikrowellen-Strahlung einen Einfluss auf die Genexpression einer Zellkultur hat. Dazu wurden explorative Analysemethoden angewendet. Es wurden geringe aber signifikante Ver{\"a}nderungen in einer sehr kleinen Anzahl von Genen beobachtet, die experimentell best{\"a}tigt werden konnten. Die Funktionen der regulierten Gene und eine Meta-Analyse mit {\"o}ffentlich zug{\"a}nglichen Datens{\"a}tzen einer Datenbank deuten darauf hin, dass die pflanzliche Zellkultur die Strahlung als eine Art Energiequelle {\"a}hnlich dem Licht wahrnimmt. Des weiteren wird in der vierten Publikation die funktionelle Analyse eines Arabidopsis thaliana Genexpressionsdatensatzes beschrieben. Die Analyse der Genexpressions eines pflanzlichen Tumores zeigte, dass er seinen Stoffwechsel von aerob und auxotroph auf anaerob und heterotroph umstellt. Gene der Photosynthese werden im Tumorgewebe reprimiert, Gene des Aminos{\"a}ure- und Fettstoffwechsels, der Zellwand und Transportkan{\"a}le werden so reguliert, dass Wachstum und Entwicklung des Tumors gef{\"o}rdert werden. In der f{\"u}nften Publikation in dieser Arbeit wird GEPAT (Genome Expression Pathway Analysis Tool) beschrieben. Es besteht aus einer Internet- Anwendung und einer Datenbank, die das einfache Hochladen von Datens{\"a}tzen in die Datenbank und viele M{\"o}glichkeiten der Datenanalyse und die Integration anderer Datentypen erlaubt. In den folgenden zwei Publikationen (Publikation 6 und Publikation 7) wird GEPAT auf humane Microarray-Datens{\"a}tze angewendet um Genexpressionsdaten mit weiteren Datentypen zu verkn{\"u}pfen. Genexpressionsdaten und Daten aus vergleichender Genom-Hybridisierung (CGH) von prim{\"a}ren Tumoren von 71 Mantel-Zell-Lymphom (MCL) Patienten erm{\"o}glichte die Ermittlung eines Pr{\"a}diktors, der die Vorhersage der {\"U}berlebensdauer von Patienten gegen{\"u}ber herk{\"o}mmlichen Methoden verbessert. Die Analyse der CGH Daten zeigte, dass auch diese f{\"u}r die Vorhersage der {\"U}berlebensdauer geeignet sind. F{\"u}r den Datensatz von Patienten mit großzellig diffusem B-Zell-Lymphom DLBCL konnte aus den Genexpressionsdaten ebenfalls ein neuer Pr{\"a}diktor vorgeschlagen werden. Mit den zwischen lang und kurz {\"u}berlebenden Patienten differentiell exprimierten Genen der MCL Patienten und mit den Genen, die zwischen den beiden Untergruppen von DLBCL reguliert sind, wurden Interaktionsnetzwerke gebildet. Diese zeigen, dass bei beiden Krebstypen Gene des Zellzyklus und der Proliferation zwischen Patienten mit kurzer und langer {\"U}berlebensdauer unterschiedlich reguliert sind.},
  subject      = {Microarray},
  language  = {en}
}
@phdthesis{FetivaMora2023,
  author    = {Fetiva Mora, Maria Camila},
  title     = {Changes in chromatin accessibility by oncogenic YAP and its relevance for regulation of cell cycle gene expression and cell migration},
  doi       = {10.25972/OPUS-30291},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-302910},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2023},
  abstract  = {Various types of cancer involve aberrant cell cycle regulation. Among the pathways responsible for tumor growth, the YAP oncogene, a key downstream effector of the Hippo pathway, is responsible for oncogenic processes including cell proliferation, and metastasis by controlling the expression of cell cycle genes. In turn, the MMB multiprotein complex (which is formed when B-MYB binds to the MuvB core) is a master regulator of mitotic gene expression, which has also been associated with cancer. Previously, our laboratory identified a novel crosstalk between the MMB-complex and YAP. By binding to enhancers of MMB target genes and promoting B-MYB binding to promoters, YAP and MMB co-regulate a set of mitotic and cytokinetic target genes which promote cell proliferation. This doctoral thesis addresses the mechanisms of YAP and MMB mediated transcription, and it characterizes the role of YAP regulated enhancers in transcription of cell cycle genes. The results reported in this thesis indicate that expression of constitutively active, oncogenic YAP5SA leads to widespread changes in chromatin accessibility in untransformed human MCF10A cells. ATAC-seq identified that newly accessible and active regions include YAP-bound enhancers, while the MMB-bound promoters were found to be already accessible and remain open during YAP induction. By means of CRISPR-interference (CRISPRi) and chromatin immuniprecipitation (ChIP), we identified a role of YAP-bound enhancers in recruitment of CDK7 to MMB-regulated promoters and in RNA Pol II driven transcriptional initiation and elongation of G2/M genes. Moreover, by interfering with the YAP-B-MYB protein interaction, we can show that binding of YAP to B-MYB is also critical for the initiation of transcription at MMB-regulated genes. Unexpectedly, overexpression of YAP5SA also leads to less accessible chromatin regions or chromatin closing. Motif analysis revealed that the newly closed regions contain binding motifs for the p53 family of transcription factors. Interestingly, chromatin closing by YAP is linked to the reduced expression and loss of chromatin-binding of the p53 family member Np63. Furthermore, I demonstrate that downregulation of Np63 following expression of YAP is a key step in driving cellular migration. Together, the findings of this thesis provide insights into the role of YAP in the chromatin changes that contribute to the oncogenic activities of YAP. The overexpression of YAP5SA not only leads to the opening of chromatin at YAP-bound enhancers which together with the MMB complex stimulate the expression of G2/M genes, but also promotes the closing of chromatin at ∆Np63 -bound regions in order to lead to cell migration.},
  subject      = {Chromatin},
  language  = {en}
}
@phdthesis{Friedrich2009,
  author    = {Friedrich, Torben},
  title     = {New statistical Methods of Genome-Scale Data Analysis in Life Science - Applications to enterobacterial Diagnostics, Meta-Analysis of Arabidopsis thaliana Gene Expression and functional Sequence Annotation},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-39858},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2009},
  abstract  = {Recent progresses and developments in molecular biology provide a wealth of new but insufficiently characterised data. This fund comprises amongst others biological data of genomic DNA, protein sequences, 3-dimensional protein structures as well as profiles of gene expression. In the present work, this information is used to develop new methods for the characterisation and classification of organisms and whole groups of organisms as well as to enhance the automated gain and transfer of information. The first two presented approaches (chapters 4 und 5) focus on the medically and scientifically important enterobacteria. Its impact in medicine and molecular biology is founded in versatile mechanisms of infection, their fundamental function as a commensal inhabitant of the intestinal tract and their use as model organisms as they are easy to cultivate. Despite many studies on single pathogroups with clinical distinguishable pathologies, the genotypic factors that contribute to their diversity are still partially unknown. The comprehensive genome comparison described in Chapter 4 was conducted with numerous enterobacterial strains, which cover nearly the whole range of clinically relevant diversity. The genome comparison constitutes the basis of a characterisation of the enterobacterial gene pool, of a reconstruction of evolutionary processes and of comprehensive analysis of specific protein families in enterobacterial subgroups. Correspondence analysis, which is applied for the first time in this context, yields qualitative statements to bacterial subgroups and the respective, exclusively present protein families. Specific protein families were identified for the three major subgroups of enterobacteria namely the genera Yersinia and Salmonella as well as to the group of Shigella and E. coli by applying statistical tests. In conclusion, the genome comparison-based methods provide new starting points to infer specific genotypic traits of bacterial groups from the transfer of functional annotation. Due to the high medical importance of enterobacterial isolates their classification according to pathogenicity has been in focus of many studies. The microarray technology offers a fast, reproducible and standardisable means of bacterial typing and has been proved in bacterial diagnostics, risk assessment and surveillance. The design of the diagnostic microarray of enterobacteria described in chapter 5 is based on the availability of numerous enterobacterial genome sequences. A novel probe selection strategy based on the highly efficient algorithm of string search, which considers both coding and non-coding regions of genomic DNA, enhances pathogroup detection. This principle reduces the risk of incorrect typing due to restrictions to virulence-associated capture probes. Additional capture probes extend the spectrum of applications of the microarray to simultaneous diagnostic or surveillance of antimicrobial resistance. Comprehensive test hybridisations largely confirm the reliability of the selected capture probes and its ability to robustly classify enterobacterial strains according to pathogenicity. Moreover, the tests constitute the basis of the training of a regression model for the classification of pathogroups and hybridised amounts of DNA. The regression model features a continuous learning capacity leading to an enhancement of the prediction accuracy in the process of its application. A fraction of the capture probes represents intergenic DNA and hence confirms the relevance of the underlying strategy. Interestingly, a large part of the capture probes represents poorly annotated genes suggesting the existence of yet unconsidered factors with importance to the formation of respective virulence phenotypes. Another major field of microarray applications is gene expression analysis. The size of gene expression databases rapidly increased in recent years. Although they provide a wealth of expression data, it remains challenging to integrate results from different studies. In chapter 6 the methodology of an unsupervised meta-analysis of genome-wide A. thaliana gene expression data sets is presented, which yields novel insights in function and regulation of genes. The application of kernel-based principal component analysis in combination with hierarchical clustering identified three major groups of contrasts each sharing overlapping expression profiles. Genes associated with two groups are known to play important roles in Indol-3 acetic acid (IAA) mediated plant growth and development as well as in pathogen defence. Yet uncharacterised serine-threonine kinases could be assigned to novel functions in pathogen defence by meta-analysis. In general, hidden interrelation between genes regulated under different conditions could be unravelled by the described approach. HMMs are applied to the functional characterisation of proteins or the detection of genes in genome sequences. Although HMMs are technically mature and widely applied in computational biology, I demonstrate the methodical optimisation with respect to the modelling accuracy on biological data with various distributions of sequence lengths. The subunits of these models, the states, are associated with a certain holding time being the link to length distributions of represented sequences. An adaptation of simple HMM topologies to bell-shaped length distributions described in chapter 7 was achieved by serial chain-linking of single states, while residing in the class of conventional HMMs. The impact of an optimisation of HMM topologies was underlined by performance evaluations with differently adjusted HMM topologies. In summary, a general methodology was introduced to improve the modelling behaviour of HMMs by topological optimisation with maximum likelihood and a fast and easily implementable moment estimator. Chapter 8 describes the application of HMMs to the prediction of interaction sites in protein domains. As previously demonstrated, these sites are not trivial to predict because of varying degree in conservation of their location and type within the domain family. The prediction of interaction sites in protein domains is achieved by a newly defined HMM topology, which incorporates both sequence and structure information. Posterior decoding is applied to the prediction of interaction sites providing additional information of the probability of an interaction for all sequence positions. The implementation of interaction profile HMMs (ipHMMs) is based on the well established profile HMMs and inherits its known efficiency and sensitivity. The large-scale prediction of interaction sites by ipHMMs explained protein dysfunctions caused by mutations that are associated to inheritable diseases like different types of cancer or muscular dystrophy. As already demonstrated by profile HMMs, the ipHMMs are suitable for large-scale applications. Overall, the HMM-based method enhances the prediction quality of interaction sites and improves the understanding of the molecular background of inheritable diseases. With respect to current and future requirements I provide large-scale solutions for the characterisation of biological data in this work. All described methods feature a highly portable character, which allows for the transfer to related topics or organisms, respectively. Special emphasis was put on the knowledge transfer facilitated by a steadily increasing wealth of biological information. The applied and developed statistical methods largely provide learning capacities and hence benefit from the gain of knowledge resulting in increased prediction accuracies and reliability.},
  subject      = {Genomik},
  language  = {en}
}
@phdthesis{Froehlich2012,
  author    = {Fr{\"o}hlich, Kathrin},
  title     = {Assigning functions to Hfq-dependent small RNAs in the model pathogen Salmonella Typhimurium},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-85488},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2012},
  abstract  = {Non-coding RNAs constitute a major class of regulators involved in bacterial gene expression. A group of riboregulators of heterogeneous size and shape referred to as small regulatory RNAs (sRNAs) control trans- or cis-encoded genes through direct base-pairing with their mRNAs. Although mostly inhibiting their target mRNAs, several sRNAs also induce gene expression. An important co-factor for sRNA activity is the RNA chaperone, Hfq, which is able to rearrange intramolecular secondary structures and to promote annealing of complementary RNA sequences. In addition, Hfq protects unpaired RNA from degradation by ribonucleases and thus increases sRNA stability. Co-immunoprecipitation of RNA with the Hfq protein, and further experimental as well as bioinformatical studies performed over the last decade suggested the presence of more than 150 different sRNAs in various Enterobacteria including Escherichia coli and Salmonellae. So-called core sRNAs are considered to fulfill central cellular activities as deduced from their high degree of conservation among different species. Approximately 25 core sRNAs have been implicated in gene regulation under a variety of environmental responses. However, for the majority of sRNAs, both the riboregulators' individual biological roles as well as modes of action remain to be elucidated. The current study aimed to define the cellular functions of the two highly conserved, Hfq-dependent sRNAs, SdsR and RydC, in the model pathogen Salmonella Typhimurium. SdsR had been known as one of the most abundant sRNAs during stationary growth phase in E. coli. Examination of the conservation patterns in the sdsR promoter region in combination with classic genetic analyses revealed SdsR as the first sRNA under direct transcriptional control of the alternative σ factor σS. In Salmonella, over-expression of SdsR down-regulates the synthesis of the major porin OmpD, and the interaction site in the ompD mRNA coding sequence was mapped by a 3'RACE-based approach. At the post-transcriptional level, expression of ompD is controlled by three additional sRNAs, but SdsR plays a specific role in porin regulation during the stringent response. Similarly, RydC, the second sRNA adressed in this study, was initially discovered in E. coli but appeared to be conserved in many related γ-proteobacteria. An interesting aspect of this Hfq-dependent sRNAs is its secondary structure involving a pseudo-knot configuration, while the 5' end remains single stranded. A transcriptomic approach combining RydC pulse-expression and scoring of global mRNA changes on microarrays was employed to identify the targets of this sRNA. RydC specifically activated expression of the longer of two versions of the cfa mRNA encoding for the phospholipid-modifying enzyme cyclopropane fatty acid synthase. Employing its conserved single-stranded 5' end, RydC acts as a positive regulator and masks a recognition site of the endoribonuclease, RNase E, in the cfa leader.},
  subject      = {Small RNA},
  language  = {en}
}
@phdthesis{Hofmann2013,
  author    = {Hofmann, Sebastian},
  title     = {Studies on the function and regulation of CD84, GPVI and Orai2 in genetically modified mice},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-87949},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2013},
  abstract  = {Platelet activation and aggregation at sites of vascular injury are essential processes to limit blood loss but they also contribute to arterial thrombosis, which can lead to myocardial infarction and stroke. Stable thrombus formation requires a series of events involving platelet receptors which contribute to adhesion, activation and aggregation of platelets. Regulation of receptor expression by (metallo-)proteinases has been described for several platelet receptors, but the molecular mechanisms are ill-defined. The signaling lymphocyte activation molecule (SLAM) family member CD84 is expressed in immune cells and platelets, however its role in platelet physiology was unclear. In this thesis, CD84 deficient mice were generated and analyzed. In well established in vitro and in vivo assays testing platelet function and thrombus formation, CD84 deficient mice displayed phenotypes indistinguishable from wild-type controls. It was concluded that CD84 in platelets does not function as modulator of thrombus formation, but rather has other functions. In line with this, in the second part of this thesis, a novel regulation mechanism for platelet CD84 was discovered and elucidated. Upon platelet activation, the N-terminus of CD84 was found to be cleaved exclusively by the a disintegrin and metalloproteinase 10 (ADAM10), whereas the intracellular part was cleaved by calpain. In addition, regulation of the platelet activating collagen receptor glycoprotein VI (GPVI) was studied and it was shown that GPVI is in contrast to CD84 differentially regulated by ADAM10 and ADAM17. A novel role of CD84 under pathophysiological conditions was revealed as CD84 deficient mice were protected from ischemic stroke in the model of transient middle cerebral artery occlusion and this protection was based on the lack of CD84 in T cells. Ca2+ is an essential second messenger that facilitates activation of platelets and diverse functions in different eukaryotic cell types. Store-operated Ca2+ entry (SOCE) represents the major mechanism leading to rise in intracellular Ca2+ concentration in non-excitable cells. The Ca2+ sensor STIM1 (stromal interaction molecule 1) and the SOC channel subunit protein Orai1 are established mediators of SOCE in platelets. STIM2 is the major STIM isoform in neurons, but the role of the SOC channel subunit protein Orai2 in platelets and neurons has remained elusive. In the third part of this thesis, Orai2 deficient mice were generated and analyzed. Orai2 was dispensable for platelet function, however, Orai2 deficient mice were protected from ischemic neurodegeneration and this phenotype was attributed to defective SOCE in neurons.},
  subject      = {Thrombozyt},
  language  = {en}
}
@phdthesis{Hondke2014,
  author    = {Hondke, Sylvia},
  title     = {Elucidation of WISP3 function in human mesenchymal stem cells and chondrocytes},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-109641},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2014},
  abstract  = {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.},
  subject      = {Knorpelzelle},
  language  = {en}
}