@article{MortonFliesserDittrichetal.2014,
  author    = {Morton, Charles Oliver and Fliesser, Mirjam and Dittrich, Marcus and M{\"u}ller, Tobias and Bauer, Ruth and Kneitz, Susanne and Hope, William and Rogers, Thomas Richard and Einsele, Hermann and L{\"o}ffler, J{\"u}rgen},
  title     = {Gene Expression Profiles of Human Dendritic Cells Interacting with Aspergillus fumigatus in a Bilayer Model of the Alveolar Epithelium/Endothelium Interface},
  doi       = {10.1371/journal.pone.0098279},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-112893},
  year      = {2014},
  abstract  = {The initial stages of the interaction between the host and Aspergillus fumigatus at the alveolar surface of the human lung are critical in the establishment of aspergillosis. Using an in vitro bilayer model of the alveolus, including both the epithelium (human lung adenocarcinoma epithelial cell line, A549) and endothelium (human pulmonary artery epithelial cells, HPAEC) on transwell membranes, it was possible to closely replicate the in vivo conditions. Two distinct sub-groups of dendritic cells (DC), monocyte-derived DC (moDC) and myeloid DC (mDC), were included in the model to examine immune responses to fungal infection at the alveolar surface. RNA in high quantity and quality was extracted from the cell layers on the transwell membrane to allow gene expression analysis using tailored custom-made microarrays, containing probes for 117 immune-relevant genes. This microarray data indicated minimal induction of immune gene expression in A549 alveolar epithelial cells in response to germ tubes of A. fumigatus. In contrast, the addition of DC to the system greatly increased the number of differentially expressed immune genes. moDC exhibited increased expression of genes including CLEC7A, CD209 and CCL18 in the absence of A. fumigatus compared to mDC. In the presence of A. fumigatus, both DC subgroups exhibited up-regulation of genes identified in previous studies as being associated with the exposure of DC to A. fumigatus and exhibiting chemotactic properties for neutrophils, including CXCL2, CXCL5, CCL20, and IL1B. This model closely approximated the human alveolus allowing for an analysis of the host pathogen interface that complements existing animal models of IA.},
  language  = {en}
}
@article{SchulSchmittRegnerietal.2013,
  author    = {Schul, Daniela and Schmitt, Alexandra and Regneri, Janine and Schartl, Manfred and Wagner, Toni Ulrich},
  title     = {Bursted BMP Triggered Receptor Kinase Activity Drives Smad1 Mediated Long-Term Target Gene Oscillation in c2c12 Cells},
  series = {PLoS ONE},
  volume    = {8},
  journal   = {PLoS ONE},
  number    = {4},
  doi       = {10.1371/journal.pone.0059442},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-130131},
  pages     = {e59442},
  year      = {2013},
  abstract  = {Bone Morphogenetic Proteins (BMPs) are important growth factors that regulate many cellular processes. During embryogenesis they act as morphogens and play a critical role during organ development. They influence cell fates via concentration-gradients in the embryos where cells transduce this extracellular information into gene expression profiles and cell fate decisions. How receiving cells decode and quantify BMP2/4 signals is hardly understood. There is little data on the quantitative relationships between signal input, transducing molecules, their states and location, and ultimately their ability to integrate graded systemic inputs and generate qualitative responses. Understanding this signaling network on a quantitative level should be considered a prerequisite for efficient pathway modulation, as the BMP pathway is a prime target for therapeutic invention. Hence, we quantified the spatial distribution of the main signal transducer of the BMP2/4 pathway in response to different types and levels of stimuli in c2c12 cells. We found that the subcellular localization of Smad1 is independent of ligand concentration. In contrast, Smad1 phosphorylation levels relate proportionally to BMP2 ligand concentrations and they are entirely located in the nucleus. Interestingly, we found that BMP2 stimulates target gene expression in non-linear, wave-like forms. Amplitudes showed a clear concentration-dependency, for sustained and transient stimulation. We found that even burst-stimulation triggers gene-expression wave-like modulations that are detectable for at least 30 h. Finally, we show here that target gene expression oscillations depend on receptor kinase activity, as the kinase drives further expression pulses without receptor reactivation and the target gene expression breaks off after inhibitor treatment in c2c12 cells.},
  language  = {en}
}
@article{WolfAkrapMargetal.2013,
  author    = {Wolf, Annette and Akrap, Nina and Marg, Berenice and Galliardt, Helena and Heiligentag, Martyna and Humpert, Fabian and Sauer, Markus and Kaltschmidt, Barbara and Kaltschmidt, Christian and Seidel, Thorsten},
  title     = {Elements of Transcriptional Machinery Are Compatible among Plants and Mammals},
  series = {PLoS ONE},
  volume    = {8},
  journal   = {PLoS ONE},
  number    = {1},
  doi       = {10.1371/journal.pone.0053737},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-131203},
  pages     = {e53737},
  year      = {2013},
  abstract  = {In the present work, the objective has been to analyse the compatibility of plant and human transcriptional machinery. The experiments revealed that nuclear import and export are conserved among plants and mammals. Further it has been shown that transactivation of a human promoter occurs by human transcription factor NF-\(\kappa\) B in plant cells, demonstrating that the transcriptional machinery is highly conserved in both kingdoms. Functionality was also seen for regulatory elements of NF-\(\kappa\) B such as its inhibitor I\(\kappa\)B isoform \(\alpha\) that negatively regulated the transactivation activity of the p50/RelA heterodimer by interaction with NF-\(\kappa\)B in plant cells. Nuclear export of RelA could be demonstrated by FRAP-measurements so that RelA shows nucleo-cytoplasmic shuttling as reported for RelA in mammalian cells. The data reveals the high level of compatibility of human transcriptional elements with the plant transcriptional machinery. Thus, Arabidopsis thaliana mesophyll protoplasts might provide a new heterologous expression system for the investigation of the human NF-\(\kappa\)B signaling pathways. The system successfully enabled the controlled manipulation of NF-\(\kappa\)B activity. We suggest the plant protoplast system as a tool for reconstitution and analyses of mammalian pathways and for direct observation of responses to e. g. pharmaceuticals. The major advantage of the system is the absence of interference with endogenous factors that affect and crosstalk with the pathway.},
  language  = {en}
}
@article{BuchnerBlancoRedondoBunzetal.2013,
  author    = {Buchner, Erich and Blanco Redondo, Beatriz and Bunz, Melanie and Halder, Partho and Sadanandappa, Madhumala K. and M{\"u}hlbauer, Barbara and Erwin, Felix and Hofbauer, Alois and Rodrigues, Veronica and VijayRaghavan, K. and Ramaswami, Mani and Rieger, Dirk and Wegener, Christian and F{\"o}rster, Charlotte},
  title     = {Identification and Structural Characterization of Interneurons of the Drosophila Brain by Monoclonal Antibodies of the W{\"u}rzburg Hybridoma Library},
  series = {PLoS ONE},
  journal   = {PLoS ONE},
  doi       = {10.1371/journal.pone.0075420},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-97109},
  year      = {2013},
  abstract  = {Several novel synaptic proteins have been identified by monoclonal antibodies (mAbs) of the W{\"u}rzburg 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 W{\"u}rzburg 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.},
  language  = {en}
}
@article{GaubatzEsterlechnerReichertetal.2013,
  author    = {Gaubatz, Stefan and Esterlechner, Jasmina and Reichert, Nina and Iltzsche, Fabian and Krause, Michael and Finkernagel, Florian},
  title     = {LIN9, a Subunit of the DREAM Complex, Regulates Mitotic Gene Expression and Proliferation of Embryonic Stem Cells},
  series = {PLoS ONE},
  journal   = {PLoS ONE},
  doi       = {10.1371/journal.pone.0062882},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-96922},
  year      = {2013},
  abstract  = {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.},
  language  = {en}
}
@article{SchubertSpahnKneitzetal.2013,
  author    = {Schubert, Maria and Spahn, Martin and Kneitz, Susanne and Scholz, Claus J{\"u}rgen and Joniau, Steven and Stroebel, Philipp and Riedmiller, Hubertus and Kneitz, Burkhard},
  title     = {Distinct microRNA Expression Profile in Prostate Cancer Patients with Early Clinical Failure and the Impact of let-7 as Prognostic Marker in High-Risk Prostate Cancer},
  series = {PLoS ONE},
  journal   = {PLoS ONE},
  doi       = {10.1371/journal.pone.0065064},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-96825},
  year      = {2013},
  abstract  = {Background The identification of additional prognostic markers to improve risk stratification and to avoid overtreatment is one of the most urgent clinical needs in prostate cancer (PCa). MicroRNAs, being important regulators of gene expression, are promising biomarkers in various cancer entities, though the impact as prognostic predictors in PCa is poorly understood. The aim of this study was to identify specific miRNAs as potential prognostic markers in high-risk PCa and to validate their clinical impact. Methodology and Principal Findings We performed miRNA-microarray analysis in a high-risk PCa study group selected by their clinical outcome (clinical progression free survival (CPFS) vs. clinical failure (CF)). We identified seven candidate miRNAs (let-7a/b/c, miR-515-3p/5p, -181b, -146b, and -361) that showed differential expression between both groups. Further qRT-PCR analysis revealed down-regulation of members of the let-7 family in the majority of a large, well-characterized high-risk PCa cohort (n = 98). Expression of let-7a/b/and -c was correlated to clinical outcome parameters of this group. While let-7a showed no association or correlation with clinical relevant data, let-7b and let-7c were associated with CF in PCa patients and functioned partially as independent prognostic marker. Validation of the data using an independent high-risk study cohort revealed that let-7b, but not let-7c, has impact as an independent prognostic marker for BCR and CF. Furthermore, we identified HMGA1, a non-histone protein, as a new target of let-7b and found correlation of let-7b down-regulation with HMGA1 over-expression in primary PCa samples. Conclusion Our findings define a distinct miRNA expression profile in PCa cases with early CF and identified let-7b as prognostic biomarker in high-risk PCa. This study highlights the importance of let-7b as tumor suppressor miRNA in high-risk PCa and presents a basis to improve individual therapy for high-risk PCa patients.},
  language  = {en}
}
@article{DeekenGohlkeScholzetal.2013,
  author    = {Deeken, Rosalia and Gohlke, Jochen and Scholz, Claus-Juergen and Kneitz, Susanne and Weber, Dana and Fuchs, Joerg and Hedrich, Rainer},
  title     = {DNA Methylation Mediated Control of Gene Expression Is Critical for Development of Crown Gall Tumors},
  series = {PLoS Genetics},
  journal   = {PLoS Genetics},
  doi       = {10.1371/journal.pgen.1003267},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-96318},
  year      = {2013},
  abstract  = {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.},
  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{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}
}