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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
11

Promotoranalyse des gehirnspezifisch exprimierten Gens 83.5

Perl, Sabine. January 2002 (has links) (PDF)
Darmstadt, Techn. Univ., Diss., 2002.
12

Suche nach differentiell exprimierten Genen in der frühen Augenanlage des Hühnchenembryos

Stoll, Silke. Unknown Date (has links) (PDF)
Universiẗat, Diss., 2003--Münster (Westfalen).
13

Differentielle Genexpression in der Insulinoma-Zelllinie RINm5F nach Stimulation mit Leptin

Hekermann, Paul. Unknown Date (has links) (PDF)
Techn. Hochsch., Diss., 2004--Aachen.
14

Negative Regulation der Chondrozytenreifung differentielle Genexpression verschiedener Chondrozytenpopulationen des embryonalen Hühnersternums /

Auge, Astrid. Unknown Date (has links) (PDF)
Universiẗat, Diss., 2004--Münster (Westfalen).
15

Differentielle Gentranskription bei Hypobiose induzierten und nicht induzierten dritten Larven von Dictyocaulus viviparus

Strube, Christina. Unknown Date (has links) (PDF)
Tierärztl. Hochsch., Diss., 2004--Hannover.
16

Application of next generation sequencing to the analysis of evolutionary changes in gene expression in primates

Dannemann, Michael 05 June 2014 (has links) (PDF)
Understanding the evolutionary basis for human-specific phenotypes such as complex speech and language, advanced cognition or the unique preparation of their food is a topic of broad interest. Approaches focusing on comparisons of the genomic DNA (deoxyribonucleic acid) or RNA (ribonucleic acid) sequence between species, individuals or tissues allow for the identification of evolutionary sequence changes, some of these changes may underlie differences in phenotypes. In addition, differences in when, where and how much of a particular gene is present may also contribute to functional changes and therefore also to phenotypic differences. The resources to make such comparisons using genetic data are now available. The genome sequences of a number of outgroups: all living great apes, as well two archaic humans, are now publically available. Studying gene expression on the RNA level - a precursor of the protein expression - is considerably easier and cheaper than the measurement of expression of the protein itself. It has been shown that the RNA and protein expression levels are well correlated and therefore measuring RNA levels provides a good proxy for the expression of the protein. Using high-throughput sequencing techniques, relatively unbiased expression comparison is now possible because the RNA from any species can be sequenced directly, rather than being captured on arrays which are designed based on a particular reference sequence. The aim of this research was to use gene expression as a molecular phenotype to identify changes relevant to human-specific biology and study the difference between humans and their closest living relatives to understand patterns and differences in the gene expression and in gene expression regulation in multiple tissues in primates using high-throughput sequencing techniques. In my thesis, I describe two analyses to address open questions in the field of gene expression and genes expression regulation in humans. In the first part I will analyze how the effect of different diets impact gene expression using a mouse model. Two key components of the human diet that differ substantially from the diet of other primates, the frequent use of meat of many humans and the cooking of their food which is common for almost all human populations, are modeled in the experiment. I tested for their impact on liver gene expression. I found that both the differences in food substrates - meat and tuber - as well as in their preparation affect gene expression in mice significantly. The effect is bigger between food substrates than between methods of preparation. Differentially expressed genes between food substrates and food preparation were predominantly related to metabolic functions. In addition, immune-genes showed differential expression between the comparisons of raw meat to both, raw tuber and cooked meat, respectively. The results indicate that different food substrates and food preparations activate different metabolic pathways and that the cooking of food and particularly of meat has an influence on the immune also changes immune-reactions of the body. I showed that expression differences in these mice are correlated with the differences observed between humans and other primates, and that there is evidence that adaptation to these diets dates to more than 300.000 years. Finally, I showed that transcription factors play in important role in regulation of gene expression with respect to different food preparation. In the second part I analyzed the expression of one key regulator of gene expression: microRNAs (miRNAs). Using miRNA expression data from multiple primate species and for multiple tissues I found that expression differences vary between tissues. While heart and brain show only few expression differences between primates, other tissues are more variable in expression. The most extreme expression differences in all three primate species were found in the brain, which may reflect the importance of miRNAs in the regulation of gene expression in the brain. Expression differences in testis were significantly larger between humans and macaques than between chimpanzees and macaques, indicating that miRNAs evolved differently in human compared to chimpanzees. MiRNA expression differences were correlated with expression differences of their target genes genome-wide which underlines the regulatory importance of miRNAs. I also showed that differentially expressed miRNAs between species/tissues preferentially targeted transcription factors, which are important gene expression regulators as well. This finding that suggests complex regulatory pathways involving both miRNAs and transcription factors in the control of gene expression. Finally, I used the miRNA sequencing data to annotate new miRNAs in primates and was able to increase the number of annotated miRNAs substantially, especially for the non-human primates which were previously not extensively annotated. The overlap of miRNAs annotated in multiple primate species thereby also increased which will support future studies to investigate the evolutionary changes of miRNAs between these primates.
17

Genexpressionsanalyse zur Histogenese epithelialer Thymustumoren am Beispiel des Autoimmun-Regulators AIRE / Gene expression analysis about histogenesis of epithelial thymic tumors in the example of the autoimmune regulator AIRE

Schreiber, Peter Werner January 2009 (has links) (PDF)
Eine grundlegende Aufgabe unseres Immunsystems ist der Schutz unseres Organismus durch die Abwehr von Erregern. Im Zentrum jeder Immunantwort liegt die Unterscheidung zwischen dem „Selbst“ (der Erkennung körpereigener Antigene) und dem „Nicht-Selbst“ (der Erkennung körperfremder Antigene). Ein wichtiger Faktor in der Aufrechterhaltung der zentralen Toleranz ist das AIRE-Protein. In der Thymusmedulla, dem Ort der stärksten AIRE-Expression, erfolgt die sog. negative Selektion der heranreifenden autoreaktiven T-Zellen. Es wird angenommen, dass AIRE durch Regulation der Präsentation von Selbst-Antigenen in mTECs und DCs die Thymozyten auf Autoreaktivität kontrolliert und potentielle Auslöser einer Autoimmunkrankheit eliminiert. Thymome sind epitheliale Tumoren des Thymus, die häufig mit Autoimmunphänomenen, insbesondere paraneoplastischer Myasthenia gravis, einhergehen. Da bei Thymomen meist ein vollständiger Verlust von AIRE sowohl auf Transkriptions- als auch Proteinebene vorliegt, lag es nahe, einen Zusammenhang mit dem Auftreten Thymom-assoziierter Autoimmunerkrankungen zu vermuten. Thymome wurden initial in einer histogenetischen Klassifikation aufgrund morphologischer Kriterien in „medulläre“ und „corticale“ Typen unterteilt. Dieses Konzept sollte in der vorgelegten Arbeit überprüft werden. Durch Kombination verschiedener Gen-Expressions-Datensätze wurden „medulläre Thymusgene“ identifiziert und in 3 Gruppen (Gene ohne Beeinflussung durch AIRE bzw. Gene mit positiver bzw. negativer Regulation durch AIRE) unterteilt. Unter den hier identifizierten, durch AIRE positiv regulierten Genen fanden sich zahlreiche Gene mit potentieller Bedeutung für die Immunregulation bzw. die Entstehung experimenteller und humaner Autoimmunerkrankungen. Eine Analyse verschiedener Thymom-Subtypen ergab weder eine erkennbare „AIRE-Verlust-Signatur“ noch eine medulläre Gensignatur in den „medullären“ Typ A Thymomen. Die erhobenen Befunde wären aber mit einem Stammzellmodell der Thymomentstehung vereinbar, nach dem die unterschiedlichen Thymom-Subtypen aus unterschiedlich determinierten Stamm- oder Progenitorzellen mit verschiedenen Reifungsblockaden hervorgehen könnten.
18

Caste differentiation in lower termites

Weil, Tobias January 2008 (has links)
Regensburg, Univ., Diss., 2008.
19

DNA-Array-Technologie Entwicklung von DNA-Arrays mit 13.000 cDNA-Klonen des Modellorganismus Arabidopsis thaliana und Anwendung in der Genexpressionsanalyse pflanzlicher Pathogenabwehr /

Scheideler, Marcel. Unknown Date (has links) (PDF)
Universiẗat, Diss., 2001--Mainz. / Auch als gedr. Diss.
20

Biochemical purification and functional characterization of the She RNP complex from S. cerevisiae

Jaedicke, Andreas Martin. Unknown Date (has links) (PDF)
University, Diss., 2004--Heidelberg.

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