MiRNAs são pequenas moléculas de RNAs endógenos não codificantes com aproximadamente 23nt que atuam na regulação da expressão gênica. A sua função é inibir a tradução de genes transcritos através de um mecanismo que viabiliza a ligação do miRNA com o mRNA alvo levando à inibição da tradução ou a degradação do RNA mensageiro. Estudos evidenciam a relação dos miRNAs com diversos processos biológicos como proliferação celular, diferenciação, desenvolvimento e doenças. Uma vez que estão envolvidos na regulação gênica, também alteram as vias metabólicas. Atualmente, as ferramentas computacionais disponíveis para o estudo dos miRNAs são o miRBase, microCosm, o miRGen e o miRNAmap. Elas possuem informações sobre as sequências dos miRNAs, genes alvos e sobre elementos que estão próximos à região dos miRNAs. Embora o avanço até o momento, não existia que relacionasse os miRNAs com as vias metabólicas, para isso foi construída a plataforma miRNApath que auxilia no estudo da função dos miRNAs por meio da análise do seus alvos dentro vias metabólicas. De modo semelhante, também não existia uma abordagem que relacione dados de expressão miRNAs e seus alvos dentro de um mesmo experimento. Para tanto, neste trabalho foi feita uma abordagem utilizando bibliotecas de SAGE (Serial Analysis of Gene Expression) que será incorporada no miRNApath. O miRNApath encontra-se disponível em http://lgmb.fmrp.usp.br/mirnapath. / MiRNAs are small molecules of endogenous non-coding RNAs with approximately 23nt in length that acts over gene expression regulation. Its function is inhibit the translation of gene transcripts through a mechanism that links the miRNA with its mRNA target leading to a translational repression or degradation. Studies show the relation of RNAs in many biological processes like cell proliferation, dierentiation and development of diseases. Since they are involved in gene regulation, they also change the metabolic pathways. Currently, the available computational tools for the study of miRNAs are miRBase, microCosm, miRGen and miRNAmap. They have information about miRNAs sequences, targets and features. Despite the the advances, until now, there is no tool that correlates the miRNAs with metabolic pathways, therefore we developed the miRNApath platform that helps in the analysis of miRNAs function through the study of its targets that are into the metabolic pathway. In the same way, there is no approach that put together information of expression of miRNAs and its targets in the same experiment. In this work we develop an approach with SAGE (Serial Analysis of Gene Expression ) libraries that will be integrated to miRNApath. The plataform is avaible at http://lgmb.fmrp.usp.br/mirnapath.

No description available.

L’hormone anti-Müllerienne (AMH) est un membre de la famille TGF-β impliquée dans la différenciation du tractus reproductif mâle. Elle est aussi exprimée par les cellules de la granulosa de l’ovaire adulte. Cependant, son rôle physiologique chez la femelle n’a pas encore été entièrement établi. Mon projet de thèse a pour objectif d’élucider le(s) rôle(s) de l’AMH dans le tractus reproductif femelle. L’AMH transduit ses effets par l’intermédiaire de deux récepteurs transmembranaires sérine/thréonine kinase : un récepteur de type II qui lui est spécifique (AMHR-II) et un récepteur de type I (ActR-IA, BMPR-IA, BMPR-IB) qu’elle partage avec les BMPs. Après fixation de l’hormone sur le récepteur de type II, celui-ci recrute et phosphoryle le récepteur de type I. Ce dernier phosphoryle à son tour les Smads spécifiques (Smad1, 5 et 8) qui s’associent à la Smad commune, Smad4. L’ensemble transloque dans le noyau et en association avec des facteurs de transcription régule les gènes cibles de l’hormone. L'utilisation de souris KO conditionnelles pour les récepteurs Acvr1 et Bmpr1a et d'une technique de siRNA dirigés contre chacun des trois récepteurs de type I a permis de mettre en évidence que le récepteur BMPR-IA est un acteur essentiel de la voie de signalisation de l'AMH dans les cellules de la granulosa. Pour déterminer la ou les Smad(s) impliquées, une technique de gènes rapporteurs, Smad-Gal4/UAS-luciférase, a été utilisée. Nous avons pu montrer que les Smad1 et 5 sont importantes pour la transduction du signal de l'AMH dans les cellules de la granulosa. Récemment des corécepteurs aux BMPs, les Repulsive Guidance Molecule (RGMs), ont été mis en évidence. L’AMH partageant sa voie de signalisation avec les BMPs, nous avons cherché à déterminer si ces corécepteurs pouvaient également intervenir dans la voie de signalisation de l’AMH. Il existe 3 types de RGMs: RGMa, RGMb et RGMc. Nous avons montré en q-PCR que seul RGMb est exprimé dans les cellules de la granulosa alors que les 3 RGMs sont exprimés dans l’ovaire. L'utilisation de siRNA dirigés contre RGMb a permis de montrer que ce récepteur n'est pas nécessaire à la transduction du signal de l'AMH. Actuellement, seuls deux gènes cibles de l’AMH sont connus dans les cellules de la granulosa : l’aromatase et le récepteur LH. Nous avons réalisé des analyses de puces à ADN (ou micro-array) pour décrire de nouveaux gènes cibles de l'AMH. L'analyse des puces a permis de décrire de nouveaux gènes régulés par cette hormone tels qu’Ovgp1 ou Kcnj2. La dernière partie de mon projet visait à déterminer un rôle potentiel de l'AMH dans l'utérus. En effet, le récepteur de cette hormone est exprimé dans le myomètre utérin de souris permettant de supposer qu’elle peut agir sur cet organe. Nous avons pu mettre en évidence une expression faible du gène de l’Amh dans l’utérus. En revanche, l’expression et la localisation de la protéine restent encore à définir. Une expérience de PCR-array a permis de montrer que de nombreux gènes sont différentiellement exprimés entre l’utérus Wt et l’utérus KO Amh. Ceci indique que l’AMH jouerait un rôle sur la régulation de la fonction utérine qu’elle soit exprimée ou non dans cet organe. / Anti-Müllerian hormone (AMH) is a member of the TGF-ß superfamily. AMH is well known for its role in Müllerian duct regression in male fetuses. Postnatally, AMH is secreted by granulosa cells (GCs) of small growing follicles (preantral and small antral). However, despite the increasing interest of ovarian AMH in clinics, little is known on its mechanism of action and its role in female reproductive tract. My PhD project focuses on the identification of AMH function in the female reproductive tract.AMH signals through a type II transmembrane serine/threonine kinase receptor (AMHR-II) which forms a complex with a type I serine/threonine kinase receptor (ActR-IA, BMPR-IA, BMPR-IB). The type II receptor phosphorylates serine and threonine residues of type I receptor. Once activated, the type I receptor phosphorylates the receptor-regulated Smads (R-Smad1/5/8) which interact with a common partner Smad4. The Smad complex accumulates into the nucleus and regulates target gene expression. This canonical signalling pathway is regulated at different levels, in particular by co-receptors which amplify or antagonize TGF-ß family members action. The type I receptors and R-Smads involved in AMH effects on post-natal GCs remain unknown. In addition, to date, no co-receptor has been found for AMH. To define the involvement of the different type I receptors, we used siRNA technology to inactivate Acvr1, Bmpr1a and Bmpr1b in GC. In parallele, we analysed GC extracted from conditional mutant mice for Acvr1 and Bmpr1a. We found that BMPR-IA is the most important type I receptor for AMH to transduce its signal in GC. A Smad-Gal4/UAS-luciferase reporter gene technology allowed us to show that Smad1 and 5 are involved in AMH signaling pathway. Recently, new BMPs coreceptors were found, RGMs for Repulsive Guidance Molecules. There are three RGMs : RGMa, b and c. Because AMH shares with BMPs its type I receptors and R-Smad proteins, we hypothesized that they also share the same co-receptors, the RGM. We showed that RGMb was the only one expressed in GC and after siRNA transfection we demonstrated that this coreceptor is not essential for AMH to transduce its signal.To date, only few AMH target genes have been identified. Aromatase (Cyp19a1) and LH receptor (Lhcgr) are down-regulated by AMH in rat and porcine GCs. We used micro-array technology (Affymetrix) by comparing Wt and knockout immature ovaries to find new AMH target genes. This experiment evidenced that Ovgp1 and Kcnj2 are two new potential AMH target genes in the ovary.The last part of my project was to define a potential role of AMH in murine uterus. Only one study showed that AMHR-II is expressed in the mouse myometrium. We showed that Amh gene is slightly expressed in uterus but the results are not confirmed at the protein level. Using PCR-array, we found a lot of differentially expressed genes between Wt and Amh KO uterus. Therefore, AMH could regulate uterine function through the modulation of different genes located in the myometrium.

La cathepsine D est une aspartyl protéase lysosomale surexprimée et hypersécrétée par les cellules épithéliales cancéreuses mammaires. C'est un marqueur de mauvais pronostic du cancer du sein. Elle stimule la prolifération des cellules cancéreuses, la croissance invasive des fibroblastes et la formation des métastases. Les travaux de l'équipe ont montré qu'elle peut agir indépendamment de son activité catalytique par interaction protéique. Le répresseur transcriptionnel Tricho-Rhino-Phalangeal Syndrome type 1, TRPS1, a été identifié comme un partenaire potentiel de la cathepsine D. Différentes études indiquent que des cystéines cathepsines peuvent être localisées au noyau et être protéolytiquement actives. Par exemple, la cystéine cathepsine L agit par protéolyse limitée sur le facteur de transcription CDP/Cux et sur l'histone H3 lorsqu'elle est localisée au noyau.Dans cette thèse nous avons étudié le rôle de la cathepsine D nucléaire dans des cellules cancéreuses mammaires. Nos résultats indiquent que la cathepsine D, comme TRPS1, est localisée au noyau et est associée à la chromatine dans les cellules positives aux récepteurs aux œstrogènes. De plus elle interagit de manière directe et endogène avec TRPS1 et participe à la régulation transcriptionnelle de PTHrP (parathyroïd hormone-related protein) un gène cible de TRPS1. Finalement nous avons identifié de nouveaux gènes co-régulés par TRPS1 et la cathepsine D dans le cancer du sein montrant que leur action n'est pas limitée à PTHrP. L'ensemble de ces résultats suggère que la cathepsine D est la première cathepsine identifiée comme un co-facteur transcriptionnel et que son rôle dans le cancer pourrait impliquer, en plus de ses activités extracellulaires, ses activités nucléaires. / Cathepsin D is a lysosomal aspartyl protease which is overexpressed and hyper-secreted by epithelial breast cancer cells. This is a poor prognosis factor in breast cancer. It stimulates cancer cell proliferation and metastasis formation. Team works have shown it can acts in an independent manner of its catalytic activity by protein interactions. The transcriptional repressor trichorhinophalangeal syndrome type 1 protein, TRPS1, has been identified as a new potential partner of Cathepsin D. Several studies indicate that cystein cathepsins can be localized in nucleus and are proteolytically actives. For example, the cystein Cathepsin L acts by limited proteolysis of the CDP/Cux transcription factor and histone H3 when located to the nucleus.During this thesis, we studied the role of nuclear Cathepsin D in breast cancer cells. Our results indicate that Cathepsin D, as TRPS1, is localized in nucleus and is associated with chromatin in estrogen-receptor positive breast cancer cells. Furthermore it interacts in a direct and endogenous manner with TRPS1 and participates to the transcriptional repression of PTHrP, parathyroïd hormone-related protein, a TRPS1 target gene. Finally, we identified new co-regulated genes by TRPS1 and Cathepsin D in breast cancer showing their action is not limited to PTHrP.Together, our results suggest that Cathepsin D is the first cathepsin identified as a transcriptional co-repressor and that its role in cancer may involve, in addition to its extracellular activities, its nuclear activities.

Der pRB/E2F-Signalweg ist ein wichtiger Schlüsselpunkt für die Wachstumskontrolle in Säugerzellen und in vielen Tumoren sind Komponenten dieses Signalweges dereguliert. Durch die Nullmutation von E2F3 in Mausembryonalen Fibroblasten (MEFs) und Mäusen konnte gezeigt werden, dass E2F3 essentiell für das zelluläre Wachstum ist und in der Maus organspezifisch sowohl als Tumorsuppressor als auch Onkogen agieren kann. Jedoch sind dafür die zugrunde liegenden Mechanismen noch nicht genau geklärt. Möglicherweise tragen verschiedene Signalwege, die durch den Verlust von E2F3 dereguliert werden, zu den Defekten bei. In dieser Arbeit wurde TGFbeta1, ein wichtiger Wachstumsregulator, in den E2f3-/- MEFs untersucht und es konnte zum ersten Mal eine direkte Verbindung zwischen der E2F3-Expression und der TGFbeta1-Signalwirkung gezeigt werden. Durch den Verlust von E2F3 werden Tgfb1 und die TGFbeta1-regulierten Gene PAI-1, p21, Vimentin und Fibronectin in MEFs dereprimiert. Darüber hinaus werden MEFs und humane Lungenkarzinomzellen durch den Verlust von E2F3 gegenüber TGFbeta1 sensibilisiert und reagieren verstärkt auf TGFbeta1-induzierte Genexpression und Prozesse wie Wachstumsarrest und EMT. Somit wird E2F3 nicht nur durch TGFbeta1 reguliert, sondern kann auch auf TGFbeta1 und die TGFbeta1-Signalwirkung Einfluss nehmen, was für die Tumorprogression weit reichende Auswirkung haben kann. Um die tumorsuppressiven Eigenschaften von E2F3 besser zu verstehen, wurden im zweiten Teil dieser Arbeit murine medulläre Schilddrüsentumore mit unterschiedlichem metastatischen Potential miteinander verglichen und es konnten neue E2F-Zielgene identifiziert werden. Die Untersuchung von humanen Struma nodosa-Biopsien und metastatischen medullären Schilddrüsentumoren ergab, dass die in den Mäusen gefundenen Gene künftig auch als humane Metastasemarker Verwendung finden können. / The pRB/E2F-pathway plays a key role in growth control and it is deregulated in many tumors. Previously, by analysing E2f3 deficient mouse embryonic fibroblasts (MEFs) and mice it has been shown that E2F3, a key downstream target of pRB, is essential for cellular proliferation and can act either as an oncogene or tumorsuppressor in mice depending on the organ. However, the underlying mechanism is still unclear. We suggest that specific pathways which are deregulated due to the deletion of E2F3 contribute to these defects. TGFbeta1, which is one of the most potent growth regulators for mammalian cells was analysed in E2f3-/- MEFs. In this study, we could establish a direct link between E2F3 expression and TGFbeta1 signalling. Loss of E2F3 in MEFs leads to de-repression of Tgfb1 and TGFbeta1-regulated genes like PAI-1, p21, vimentin and fibronectin. Moreover, loss of E2F3 in MEFs or in human lung carcinoma cells results in an increased sensitivity to TGFbeta1-induced gene expression and processes like growth arrest and epithelial mesenchymal transition. These data suggest that not only TGFbeta1 can act on E2F3 but also E2F3 can affect TGFbeta1 and the outcome of TGFbeta1-induced signalling. In order to understand the tumor suppressive properties of E2F3, we compared gene expression profiles of murine medullary thyroid carcinomas (MTCs) of different metastatic potential and could identify novel E2F-target genes. Analysis of human struma nodosa biopsies and human metastatic medullary thyroid tumors showed that the genes identified in the mouse model can also be used as metastasis markers in human tumors.

The regulation of gene expression at the right time, place, and degree is crucial for many cellular processes such as proliferation and development. In addition, in order to maintain cellular life, cells must rapidly and appropriately respond to various environmental stimuli. Sequence-specific transcription factors (TFs) can recognize functional regulatory DNA elements in a sequence-specific manner so that they can regulate only a specific group of genes, a process which enables cells to cope with diverse internal and external stimuli. Human has approximately 1,400 sequence-specific TFs whose aberrant expression causes a wide range of detrimental consequences including developmental disorders, diseases, and cancers; therefore, it is pivotal to identify the binding sites of each sequence-specific TF in order to unravel its roles in and mechanisms of gene regulation. Even though some TFs have been intensively studied, the majority of TFs still remain to be studied, particularly the tasks of identifying their genome-wide target genes and deciphering their biological roles in specific cellular contexts. Many questions remain unanswered: how many sites on the human genome a sequence-specific TF can bind; whether all TF-bound sites are functional; how a TF achieves binding specificity onto its targets; how and to what extent a TF is involved in gene regulation. Comprehensive identification of the binding sites of sequence-specific TFs and follow-up molecular studies including gene expression microarrays will provide close answers to these questions. Chromatin Immunoprecipitation coupled with recently developed high-throughput sequencing (ChIP-seq) allows us to perform genome-scale unbiased identification of the binding sites of sequence-specific TFs. Here, to gain insight into gene regulatory functions of TFs as well as their influences on gene expression, we conducted, in diverse cell lines, genome-wide identification of the binding sites of several sequence-specific TFs (CTCF, E2F4, MYC, Pol II) that are involved in a wide range of biological functions, including cell proliferation, development, apoptosis, genome stability, and DNA repair. Analysis of ChIP-seq data provided not only comprehensive binding profiles of those TF across the genome in diverse cell lines, but also revealed tissue-specific binding of CTCF, MYC, and Pol II as well as combinatorial usage among these three factors. Analyses also showed that some CTCF binding sites were inherited from parents to children and regulated in an individual-specific as well as allele-specific manner. Finally, genome-wide target identification of several TFs will broaden our understanding of the gene regulatory roles of these sequence-specific TFs. / text

Made available in DSpace on 2014-08-20T13:44:36Z (GMT). No. of bitstreams: 1 tese_carlos_andre_bahry.pdf: 1649930 bytes, checksum: 5a801e0a506210fec9f7f5f02d60c77a (MD5) Previous issue date: 2014-06-12 / Soybean seed coats perform as a modulator of the interactions between internal structures of seeds and the external environment, which are vital for its quality. In order to perform a deeper study, four tests were performed. In Test 1, the expression of eight genes was evaluated, possibly related to the quality of the seeds, and express on the seed coats; on Test 2, the seed coats chemical composition was determined; on Test 3, the internal structure of seed coats was analyzed and on Test 4, physical and physiological traits of seeds were evaluated. Four contrasting soybean genotypes were used for the seed coat traits, two yellow seed coats, BMX Potência RR and CD 202, and two black seed coats, TP and IAC. The relative expression of the genes VINV1, SCB1, SCS1, SBP, LEGINSULIN, CHIA1, SGF14c e CHS8* was evaluated through the qPCR technique in seven phases of seed coat development, on the 25, 30, 35, 40, 45, 50 and 55 days after anthesis. Concerning the chemical composition of the seed coats, the phenolic compounds concentration, antioxidant potential, anthocyanin, carotenoids and lignin were determined. For the structural characterization of the seed coats, two anatomic cuts of these in microtome and the documentation of the results were performed by the capture of images on the microscope. Seed quality was evaluated by the germination test and first counting, with and without immersion of the seeds; seedlings length, with and without immersion; emergence in soil; germination and emergence speed index, emergence speed; electric conductivity; a thousand seeds mass; seed coats mass; seed coats mass and seed mass ratio; size of the seeds; imbibitions; and radicle protrusion. Data were subjected to variance analysis and the means compared by the Tukey test on Tests 1, 2 and 4. On Test 4, concerning seed imbibition, a regression analysis was performed. Genes VINV1, SCS1, SBP and LEGINSULIN are more expressed in the early stages of development of the seed coats BMX Potência RR and the gene CHS8* in the final stages of the same genotype. The SCB1 and SGF14c genes are more expressed in early stages of development of the seed coats CD 202 and the CHIA1 gene in the final stages. The phenol concentration, antioxidants, anthocyanin, carotenoids and lignin are higher in the black seed coat genotypes. These also have a palisade layer and thicker hourglass cells than the yellow seed coats. Black seed coats genotypes, specially the IAC presented a higher physiological quality. BMX Power RR has higher seed hydration in comparison to the other genotypes on the first imbibition hours while TP has the lower; however, the latter and the IAC show radicle protrusion more fast. The lignin concentration in seed coats does not influence soybean seeds hydration. / O tegumento da soja atua como modulador das interações entre as estruturas internas das sementes e o meio externo, sendo vital para a qualidade destas. Para tanto, buscou-se estudar melhor essa relação através da realização de quatro ensaios. No Ensaio 1 se avaliou a expressão de oito genes possivelmente relacionados com a qualidade das sementes e expressos nos tegumentos; no Ensaio 2 determinou-se composição química dos tegumentos; no Ensaio 3 se analisou a estrutura interna dos tegumentos; e, no Ensaio 4 avaliaram-se as características físicas e fisiológicas das sementes. Foram utilizados quatro genótipos de soja contrastantes para as características de tegumento, dois de tegumentos amarelos, BMX Potência RR e CD 202, e dois de tegumentos pretos, TP e IAC. A expressão relativa dos genes VINV1, SCB1, SCS1, SBP, LEGINSULIN, CHIA1, SGF14c e CHS8* foi avaliada pela técnica qPCR, em sete fases de desenvolvimento dos tegumentos, aos 25, 30, 35, 40, 45, 50 e 55 dias após a antese. Quanto à composição química dos tegumentos determinou-se a concentração de compostos fenólicos, potencial antioxidante, antocianinas, carotenóides e lignina. Para a caracterização estrutural dos tegumentos realizaram-se cortes anatômicos destes em micrótomo, sendo a documentação dos resultados realizada pela captura de imagens em microscópio. A qualidade das sementes foi avaliada pelos testes de germinação e primeira contagem, com e sem imersão das sementes; comprimento de plântula, com e sem imersão; emergência em solo; índice de velocidade de germinação e emergência; velocidade de emergência; condutividade elétrica; massa de mil sementes; massa dos tegumentos; razão entre a massa dos tegumentos e a massa das sementes; tamanho das sementes; embebição; e, protrusão radicular. Os dados foram submetidos à análise de variância e as médias comparadas pelo teste de Tukey nos Ensaios 1, 2 e 4. No Ensaio 4, em relação à embebição das sementes aplicou-se análise de regressão. Os genes VINV1, SCS1, SBP e LEGINSULIN expressam-se mais nas fases iniciais de desenvolvimento dos tegumentos de BMX Potência RR e, o gene CHS8*, nas fases finais deste mesmo genótipo. Os genes SCB1 e SGF14c expressam-se mais nas fases iniciais de desenvolvimento dos tegumentos de CD 202 e, o gene CHIA1, nas fases finais. As concentrações de fenóis, antioxidantes, antocianinas, carotenóides e lignina são maiores nos genótipos de tegumentos pretos. Estes também possuem a camada paliçádica e as células em ampulheta mais espessas que os tegumentos amarelos. Genótipos de tegumentos pretos, em especial o IAC, apresentam maior qualidade fisiológica. BMX Potência RR possui maior hidratação de suas sementes em relação aos outros genótipos nas primeiras horas de embebição e TP, a menor; contudo, este último e IAC apresentam protrusão radicular mais rápida. A concentração de lignina nos tegumentos não influencia a hidratação das sementes de soja.

Das kolorektale Karzinom (KRK) ist die zweithäufigste Krebserkrankung und die Metastasierung die häufigste Todesursache hierbei. Das neu identifizierte Gen MACC1 (metastasis associated in colon cancer 1) wurde als prognostischer Marker für die Metastasierung des KRK beschrieben. Im Zuge dieser Arbeit wurden die Exons 14-19 des Protoonkogens MET (met proto-oncogene (hepatocyte growth factor receptor)) und die kodierenden Exons von MACC1 in kolorektalen Tumoren sequenziert. Es waren in 60 Tumoren nur zwei MET Mutationen zu finden. In 154 kolorektalen Tumoren wurden die drei MACC1 single nucleotide polymorphisms (SNPs) rs47211888, rs975263 und rs3735615 identifiziert. Diese MACC1 SNPs veränderten nicht die MACC1 Expression in Tumoren oder KRK-Zelllinien. Sie waren nicht mit klinischen Daten von Patienten, nicht mit dem Gesamtüberleben oder dem metastasenfreien Überleben aller Patienten mit KRK assoziiert. Der MACC1 SNP rs975263 war signifikant mit einem kürzeren metastasenfreien Überleben in einer kleineren Gruppe von jüngeren Kolonkarzinom Patienten in frühen Stadien assoziiert. Zudem wurden mittels Microarray Analyse Targetgene von MACC1 identifiziert. MACC1 regulierte die Expression von S100P (S100 calcium binding protein P) und SPON2 (spondin 2, extracellular matrix protein) in den Zelllinien SW480 und SW620. Eine S100P oder SPON2 Überexpression förderte die Zellproliferation, Zellmigration und Zellinvasion. Intraspenal transplantierte Zellen mit hoher S100P oder SPON2 Expression führten im Gegensatz zu Kontrollzellen in Xenograft Modellen zur Bildung von Metastasen. Des Weiteren war die S100P oder SPON2 Expression in humanen metachron metastasierenden kolorektalen Tumoren höher als in nicht metastasierenden Tumoren. Patienten mit einer hohen S100P oder SPON2 Expression in ihren Tumoren hatten ein kürzeres metastasenfreies Überleben im Vergleich zu Patienten mit niedriger Expression. S100P und SPON2 könnten somit eine wichtige Rolle in der Metastasierung spielen. / Colorectal cancer (CRC) is the second leading cause of cancer-related deaths in the Western World, mainly due to metastasis. The gene MACC1 (metastasis associated in colon cancer 1) was described as a prognostic marker for CRC metastasis. In this study, we sequenced the exons 14-19 of the protooncogene MET (met proto-oncogene (hepatocyte growth factor receptor)) and the coding exons of MACC1 in colorectal tumors. We found two MET mutations in 60 tumors. In 154 tumors we identified the MACC1 single nucleotide polymorphisms (SNPs) rs47211888, rs975263 and rs3735615. These SNPs did neither modify the MACC1 expression in tumors nor in CRC cell lines. They were not associated with clinical parameters of the patients or with the overall survival and metastasis-free survival time of all CRC patients. Only in a subgroup, younger patients with colon cancer in early stages, the SNP rs975263 was significantly associated with a shorter metastasis-free survival time. Additionally, we identified new target genes of MACC1 by microarray analysis. MACC1 regulated the expression of S100P (S100 calcium binding protein P) and SPON2 (spondin 2, extracellular matrix protein) in the cell lines SW480 and SW620. Cell with a high S100P and SPON2 expression, intrasplenically transplanted into NOD/SCID mice, led to metastasis formation whereas transplanted control cells did not metastasize at all. The S100P and SPON2 expression was higher in colorectal tumors with metachronous metastasis than in non-metastasizing tumors. CRC patients with a high S100P or SPON2 expression in their primary tumors had a shorter metastasis-free survival time compared to patients with a low expression. Thus, S100P and SPON2 might play an important role in CRC metastasis.

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The term "pattern formation" refers to the process by which order unfolds in development. The present thesis deals with a particular aspect of molecular pattern formation during vertebrate embryogenesis. The model system in the focus of this study is the zebrafish, Danio rerio. In the early developmental phases of the zebrafish, Fibroblast growth factors (Fgfs) are involved in the molecular patterning of various tissues, including two regions of the brain, the forebrain and the midbrain-hindbrain region, affecting cellular processes as diverse as cell proliferation, differentiation, and axonal targeting. The goal of this study was to better understand the mechanisms by which Fgf signaling regulates pattern formation and embryogenesis. I addressed this question on several levels, investigating the extent of intracellular signaling (MAPK activation) relative to sources of Fgf expression, and the transcriptional responses of cells to Fgf signaling during embryogenesis. By a macroarray analysis, I identified putative transcriptional targets of Fgf signaling in late gastrulation, providing a set of molecules that are likely to act as functional players in relaying the patterning information encoded by Fgf signals. Among those are the secreted signaling molecules Chordin and Wnt8, as well as Isthmin, a novel secreted molecule that I found capable to interfere with anterior embryonic patterning. In addition, I identified two ETS domain transcription factors, Erm and Pea3, which constitute bona fide integrators of FgfR signaling. By gain- and loss-of-function studies, I demonstrate that transcript levels of erm and pea3 are tightly regulated by Fgf signaling. Detailed analysis of the expression patterns of erm and pea3 along with other Fgf target genes also provides evidence for a differential read-out of Fgf concentration in the embryo, consistent with a role of Fgf as a vertebrate morphogen. The discovery of novel molecular components downstream of Fgf receptor activity paves a way to characterize previously unknown or underestimated developmental roles of Fgfs in the molecular patterning of the forebrain, the eye and parts of the neural crest.