Refine
Has Fulltext
- yes (43)
Is part of the Bibliography
- yes (43)
Year of publication
- 2012 (43) (remove)
Document Type
- Doctoral Thesis (43) (remove)
Keywords
- Drosophila (4)
- Taufliege (4)
- Vaccinia-Virus (4)
- vaccinia virus (4)
- Apoptosis (3)
- Melanom (3)
- Myc (3)
- Netzwerkanalyse (3)
- oncolytic virotherapy (3)
- onkolytische Virotherapie (3)
Institute
- Theodor-Boveri-Institut für Biowissenschaften (43) (remove)
Recent development of proteomic approaches and generation of large-scale proteomic datasets calls for new methods for biological interpretation of the obtained results. Systems biological approaches such as integrated network analysis and functional module search have become an essential part of proteomic investigation. Proteomics is especially applied in anucleate cells such as platelets. The underlying molecular mechanisms of platelet activation and their pharmacological modulation are of immense importance for clinical research. Advances in platelet proteomics have provided a large amount of proteomic data, which has not yet been comprehensively investigated in a systems biological perspective. To this end, I assembled platelet specific data from proteomic and transcriptomic studies by detailed manual curation and worked on the generation of a comprehensive human platelet repository for systems biological analysis of platelets in the functional context of integrated networks (PlateletWeb) (http:/PlateletWeb.bioapps.biozentrum.uni-wuerzburg.de). I also added platelet-specific experimentally validated phosphorylation data and generated kinase predictions for 80% of the newly identified platelet phosphosites. The combination of drug, disease and pathway information with phosphorylation and interaction data makes this database the first integrative platelet platform available for platelet research. PlateletWeb contains more than 5000 platelet proteins, which can also be analyzed and visualized in a network context, allowing identification of all major signaling modules involved in platelet activation and inhibition. Using the wealth of integrated data I performed a series of platelet-specific analyses regarding the platelet proteome, pathways, drug targets and novel platelet phosphorylation events involved in crucial signaling events. I analyzed the statistical enrichment of known pathways for platelet proteins and identified endocytosis as a highly represented pathway in platelets. Further results revealed that highly connected platelet proteins are more often targeted by drugs. Using integrated network analysis offered by PlateletWeb, I analyzed the crucial activation signaling pathway of adenosine diphosphate (ADP), visualizing how the signal flow from receptors to effectors is maintained. My work on integrin inside-out signaling was also based on the integrated network approach and examined new platelet-specific phosphorylation sites and their regulation using kinase predictions. I generated hypothesis on integrin signaling, by investigating the regulation of Ser269 phosphorylation site on the docking protein 1 (DOK1). This phosphorylation site may influence the inhibiting effect of DOK1 on integrin a2bb3. Extending the integrated network approach to further cell lines, I used the assembled human interactome information for the analysis of functional modules in cellular networks. The investigation was performed with a previously developed module detection algorithm, which finds maximum-scoring subgraphs in transcriptomic datasets by using assigned values to the network nodes. We extended the algorithm to qualitative proteomic datasets and enhanced the module search by adding functional information to the network edges to concentrate the solution onto modules with high functional similarity. I performed a series of analyses to validate its performance in small-sized (virus-infected gastric cells) and medium-sized networks (human lymphocytes). In both cases the algorithm extracted characteristic modules of sample proteins with high functional similarity. The functional module search is especially useful in site-specific phosphoproteomic datasets, where kinase regulation of the detected sites is often sparse or lacking. Therefore, I used the module detection algorithm in quantitative phosphoproteomic datasets. In a platelet phosphorylation dataset, I presented a pipeline for network analysis of detected phosphorylation sites. In a second approach, the functional module detecting algorithm was used on a phosphoproteome network of human embryonic stem cells, in which nodes represented the maximally changing phosphorylation sites in the experiment. Additional kinases from the human phosphoproteome in PlateletWeb were included to the network to investigate the regulation of the signal flow. Results indicated important phosphorylation sites and their upstream kinases and explained changes observed in embryonic stem cells during differentiation. This work presents novel approaches for integrated network analysis in cells and introduces for the first time a systematic biological investigation of the human platelet proteome based on the platelet-specific knowledge base PlateletWeb. The extended methods for optimized functional module detection offer an invaluable tool for exploring proteomic datasets and covering gaps in complex large-scale data analysis. By combining exact module detection approaches with functional information data between interacting proteins, characteristic functional modules with high functional resemblance can be extracted from complex datasets, thereby focusing on important changes in the observed networks.
The neurodegenerative disorder Alzheimer's disease (AD) is the cause of approximately 60% of the world's 35 million patients suffering from dementia. Current research focuses here are on association with other diseases such as diabetes type 2 (T2DM), possible genetic markers, specific signal transduction pathways within the brain and potential protein modification, because the pathogenesis and etiology of AD are still not fully understood. Specifically association of T2DM with AD came to the focus with the so-called "Rotterdam study" in 1999, indicating that T2DM doubles the risk of developing AD. In the meantime, it is known that the prevalence rate in patients with T2DM is 30%. Drugs commonly used in the treatment of T2DM such as peroxisome proliferator-activated receptors gamma (PPARγ) agonists show improvement of the cognitive abilities in patients with early stage of dementia, with potential therapeutically relevance. Therefore it is important not only to investigate a link between these diseases, but also to investigate the insulin signaling pathway in the brain of AD patients. In order to investigate this complex issue in more details and demonstrate additional links between T2DM and AD, the present study used several basic biological methods to clarify the question: "Is impaired insulin signaling pathway within the brain crucial for the development of AD?" from several points of view. The methods used in this work have been i) an analysis of single nucleotide (SNP) polymorphism of the insulin-degrading enzyme gene (IDE) in relation to risk of AD and / or of T2DM, ii) post-mortem histochemical studies of brain tissue of patients with only AD, with AD combined with T2DM and with only T2DM compared with an age-matched control group, and iii.) investigations of neurochemical pathways and gene/protein expression changes of a human cell culture as a consequences of amyloid β (Aβ) treatment. After analysis of the IDE SNP polymorphism in the selected VITA (Vienna Trans Danube Aging) cohort disease-specific effects were discovered. The upstream polymorphism (IDE2) was found to influence AD risk in a protective manner, while the downstream polymorphism (IDE7) modified the T2DM risk. Based on the SNP results, the presented study delineate the model that IDE promoter and 3‟ untranslated region/downstream variation can have different effects on IDE expression, maybe a relevant endophenotype with disorder-specific effects on AD and T2DM susceptibility. Furthermore, the human post-mortem studies could show that both AD as well as T2DM patients had a significantly lower density of the insulin receptor (IR) in the hippocampus, whereas a significantly increased density of inactive phosphorylated PPARγ has been found and this persisted even in patients with both diseases. Summarizing the histological study, it was possible to reveal common histological features of AD and T2DM, but no direct connection between the two diseases. Although AD is nowadays not only characterized by amyloid-containing plaque deposits and by the hyperphosphorylation of tau protein, the excessive Aβ42 presence in the brains of AD patients is still playing a key role. Up to date it is still not entirely clear which physical form of Aβ42 is responsible for the development of AD. The present work investigated, what impact has the state of aggregation of Aβ42 on genes and proteins of the insulin signaling pathway and the amyloid cascade. It could be shown that the oligomeric variant enhanced specifically the gene and protein expression of glycogen synthase kinase (GSK) 3β and also the enzyme activity was significantly increased, but has in turn strongly inhibited the IR gene and protein expression. Additionally, the effect of Aβ42 on monoamine oxidase B (MAO-B) was examined. An effect of both aggregated forms of Aβ42 had on enzyme activity was discovered. However, the fibrillar variants led to significantly increased activity of MAO-B while the oligomeric variants inhibited the enzyme activity. Several previous studies have demonstrated the involvement of increased MAO-B activity in AD, but the present work provides for the first time a direct link between the states of aggregation of Aβ42 to enzyme activity. Finally the results of the presented thesis can be summarized to following conclusion: Although AD and T2DM sharing some degrees of common features, still there is a lack of direct association, and therefore the diseases must be considered more independent rather than linked. But the impaired cerebral insulin signaling pathway seems to be another manifested hallmark of AD.
Melanoma arises from the malignant transformation of melanocytes and is one of the most aggressive forms of human cancer. In fish of the genus Xiphophorus, melanoma development, although very rarely, happens spontaneously in nature and can be induced by interspecific crossing. The oncogenic receptor tyrosine kinase, Xmrk, is responsible for melanoma formation in these fishes. Since Xiphophorus are live-bearing fishes and therefore not compatible with embryonic manipulation and transgenesis, the Xmrk melanoma model was brought to the medaka (Oryzias latipes) system. Xmrk expression under the control of the pigment cell specific mitf promoter leads to melanoma formation with 100% penetrance in medaka. Xmrk is an orthologue of the human epidermal growth factor receptor (EGFR) and activates several downstream signaling pathways. Examples of these pathways are the direct phosphorylation of BRAF and Stat5, as well as the enhanced transcription of C-myc. BRAF is a serine-threonine kinase which is found mutated at high frequencies in malignant melanomas. Stat5 is a transcription factor known to be constitutively activated in fish melanoma. C-myc is a transcription factor that is thought to regulate the expression of approximately 15% of all human genes and is involved in cancer progression of a large number of different tumors. To gain new in vivo information on candidate factors known to be involved in melanoma progression, I identified and analysed BRAF, Stat5 and C-myc in the laboratory fish model system medaka. BRAF protein motifs are highly conserved among vertebrates and the results of this work indicate that its function in the MAPK signaling is maintained in medaka. Transgenic medaka lines carrying a constitutive active version of BRAF (V614E) showed more pigmented skin when compared to wild type. Also, some transiently expressing BRAF V614E fishes showed a disrupted eye phenotype. In addition, I was able to identify two Stat5 copies in medaka, named Stat5ab/a and Stat5ab/b. Sequence analysis revealed a higher similarity between both Stat5 sequences when compared to either human Stat5a or Stat5b. This suggests that the two Stat5 copies in medaka arose by an independent duplication processes. I cloned these two Stat5 present in medaka, produced constitutive active and dominant negative gene versions and successfully established transgenic lines carrying each version under the control of the MITF promoter. These lines will help to elucidate questions that are still remaining in Stat5 biology and its function in melanoma progression, like the role of Stat5 phosphorylation on tumor invasiveness. In a third project during my PhD work, I analysed medaka C-myc function and indentified two copies of this gene in medaka, named c-myc17 and c-myc20, according to the chromosome where they are located. I produced conditional transgenic medaka lines carrying the c-myc17 gene coupled to the hormone binding domain of the estrogen receptor to enable specific transgene activation at a given time point. Comparable to human C-myc, medaka C-myc17 is able to induce proliferation and apoptosis in vivo after induction. Besides that, C-myc17 long-term activation led to liver hyperplasia. In summary, the medaka models generated in this work will be important to bring new in vivo information on genes involved in cancer development. Also, the generated transgenic lines can be easily crossed to the melanoma developing Xmrk medaka lines, thereby opening up the possibility to investigate their function in melanoma progression. Besides that, the generated medaka fishes make it possible to follow the whole development of melanocytes, since the embryos are transparent and can be used for high throughput chemical screens.