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Institute
- Theodor-Boveri-Institut für Biowissenschaften (83)
- Fakultät für Physik und Astronomie (38)
- Graduate School of Life Sciences (32)
- Institut für Psychologie (25)
- Neurologische Klinik und Poliklinik (24)
- Institut für Molekulare Infektionsbiologie (23)
- Klinik und Poliklinik für Psychiatrie, Psychosomatik und Psychotherapie (21)
- Physikalisches Institut (19)
- Rudolf-Virchow-Zentrum (16)
- Lehrstuhl für Biochemie (15)
Sonstige beteiligte Institutionen
In summary, structure-activity relationships in peptide and dendrimer carriers modified with different organometal complexes were studied on a human breast cancer cell line. Variation of the organometal cargo and carrier can significantly influence their biological properties and might open the way to new approaches in chemotherapy. Furthermore, the incorporation of complexes with different C≡O vibrational signatures in a model peptide was explored to examine information encoding in biomolecules in a barcoding strategy for potential imaging applications. In particular for the latter, additional stable metal-carbonyl markers need to be prepared in future work to expand the pool of vibrational labels available.
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.
Effects of stem cell transcription factor-expressing vaccinia viruses in oncolytic virotherapy
(2012)
Cancer remains the second leading cause of death in the industrialized. The data from many different studies investigating the nature of cancer-initiating cells coined the description ‘cancer stem cells’ and has major implications on conventional cancer therapy. Thus, to improve the outcome of cancer treatment and to lower negative side effects, the development of novel therapeutic regimens is indispensable. It has been demonstrated in many preclinical studies that oncolytic virotherapy using vaccinia virus may provide a powerful and well-tolerable new tool in cancer therapy which is currently investigated in several clinical trials (Phase I & II) as stand-alone treatment or in combination with conventional cancer therapy. Cancer-initiating cells and stem cells share a variety of characteristics like the ability to self-renew, differentiation potential, quiescence, drug and radiation resistance, activation and inhibition of similar signaling pathways as well as expression of cell surface markers and stem cell-related genes. In this work, two new recombinant vaccinia viruses expressing the transcription factors Nanog (GLV-1h205) and Oct4 (GLV-1h208) were engineered to provide deeper insight of these stem cell master regulators in their significance of cancer-initiation and their impact on oncolytic virotherapy. Both viruses were analyzed for their replication potential in A549 and PC-3 human cancer cells. Marker gene expression was assessed by RT-PCR, SDS-PAGE and Western blotting, ELISA or immunocytochemistry.Furthermore, the effect of GLV-1h205 infection on the cell cycle in A549 cells was analyzed. Next, the effects of virus-mediated expression of stem cell transcription factors on therapeutic efficacy and survival rates in A549 xenograft mouse models was analyzed. A non-functional Nanog mutant-expressing virus strain (GLV-1h321) was engineered to analyze whether the observed therapeutic benefits were promoter- or payload-driven. Furthermore, this study analyzed the potential of GLV-1h68 to infect, replicate in, and lyse colorectal cancer cell lines to study whether oncolytic vaccinia viruses can be potential new and less invasive treatment regimens for late stage colorectal cancer. Marker gene expression was assessed by fluorescence microscopy and FACS. The transcription factor Klf4 is highly expressed in quiescent, terminally differentiated cells in the colonic epithelium whereas it is dramatically downregulated in colon cancers. Klf4 expression leads to cell growth arrest and inhibits Wnt signaling by binding to beta-catenin. To further improve the treatment of colorectal cancers, new recombinant vaccinia viruses (GLV-1h290-292) mediating the expression of differing amounts of the tumor suppressor Klf4 by using different promoter strengths were engineered. Initial characterization of recombinant vaccinia viruses expressing Klf4 by replication assay, cell viability assay, SDS-PAGE and Western blotting, immuncytochemistry and analysis of protein functionality by qPCR and ELISA analysis for cellular beta-catenin expression, demonstrated promoter strength-dependent expression of and impact of Klf4. To further boost the effects of tumor suppressor Klf4, a vaccinia virus strain expressing Klf4 with a C-terminal fusion of the TAT transduction domain (GLV-1h391) was engineered. Treatment of HT-29 non-responder tumors in vivo with GLV-1h291 and GLV-1h391 led to significant tumor growth inhibition and improved overall survival compared to GLV-1h68. This makes the Klf4-TAT expressing GLV-1h391 a promising candidate for the treatment of colorectal cancer in man.
Background: Recently, contradictory results on foamy virus protease activity were published. While our own results indicated that protease activity is regulated by the viral RNA, others suggested that the integrase is involved in the regulation of the protease. Results: To solve this discrepancy we performed additional experiments showing that the protease-reverse transcriptase (PR-RT) exhibits protease activity in vitro and in vivo, which is independent of the integrase domain. In contrast, Pol incorporation, and therefore PR activity in the viral context, is dependent on the integrase domain. To further analyse the regulation of the protease, we incorporated Pol in viruses by expressing a GagPol fusion protein, which supported near wild-type like infectivity. A GagPR-RT fusion, lacking the integrase domain, also resulted in wild-type like Gag processing, indicating that the integrase is dispensable for viral Gag maturation. Furthermore, we demonstrate with a trans-complementation assays that the PR in the context of the PR-RT protein supports in trans both, viral maturation and infectivity. Conclusion: We provide evidence that the FV integrase is required for Pol encapsidation and that the FV PR activity is integrase independent. We show that an active PR can be encapsidated in trans as a GagPR-RT fusion protein.
One’s own name constitutes a unique part of conscious awareness – but does this also hold true for unconscious processing? The present study shows that the own name has the power to bias a person’s actions unconsciously even in conditions that render any other name ineffective. Participants judged whether a letter string on the screen was a name or a non-word while this target stimulus was preceded by a masked prime stimulus. Crucially, the participant’s own name was among these prime stimuli and facilitated reactions to following name targets whereas the name of another, yoked participant did not. Signal detection results confirmed that participants were not aware of any of the prime stimuli, including their own name. These results extend traditional findings on ‘‘breakthrough’’ phenomena of personally relevant stimuli to the domain of unconscious processing. Thus, the brain seems to possess adroit mechanisms to identify and process such stimuli even in the absence of conscious awareness.
The Influence of Anticipation and Warnings on Collision Avoidance Behavior of Attentive Drivers
(2012)
This thesis deals with collision avoidance. Focus is on the question of under which conditions collision avoidance works well for humans and if drivers can be supported by a Forward Collision Warning (FCW) System when they do not react appropriately. Forward Collision Warning systems work in a way that tries to focus the driver's attention in the direction of the hazard and evoke an avoidance reaction by some sort of alert (e.g., tone or light). Research on these warning systems generally focuses on inattention and distraction as the cause for crashes. If the driver is inattentive, the results of a crash are thought to be worse as the driver‘s reaction is belated or might not mitigate the crash at all. To ensure effectiveness in the worst case, most of the experiments studying FCW systems have been conducted with visually distracted drivers. Research on the cause and possible countermeasures for crashes of attentive drivers are hardly available, although crash databases and field operational test data show that 40-60% of the drivers look at the forward scene shortly before they crash. Hence, only a few studies elaborated on ideas about the reasons for crashes with attentive drivers. On the basis of the literature, it is worked out that one reason for delayed avoidance behavior can be an incorrect allocation of attention. It is further elaborated that high level attention processes are strongly influenced by interpretation of the situation and the anticipation of future status. Therefore, it is hypothesized that alert drivers react later when they can not foresee a potential threat or even when they misinterpret the situation. If the lack of threat anticipation or incorrect anticipation is a reason for crashes, a FCW system could be a great help, when the FCW is easily comprehensible. It is hypothesized that a FCW can compensate for missing threat anticipation in the driver. The results of the experiments show that the level of threat anticipation has the largest influence on driver behavior in an imminent crash situation. The results further suggest that FCW systems - especially warnings of audible or haptic modality - can help attentive drivers who do not anticipate a threat or misinterpret a situation. The negative influence of missing or mislead threat anticipation on objective measures was small when the threat appeared suddenly. This is thought to be due to the visual appearance of the introduced threat. It is assumed that this type of stimulus triggers a lower level attentional process, as opposed to a top-down attention process controlled by an anticipatory process. In the other scenario types such a lower level process may not be triggered. An important result of the second study is that (Forward) Collision Warnings have to be learned. Participants with warnings reacted slower than participants without any FCW in the first critical event. Participants with a visual warning reacted particularly slow. Later in the experiment, the probands with warnings were constantly faster than their counterparts without them. Hence, the results of this study suggest that a haptic or audible modality should be used as a primary warning to the driver. The characteristic of visual warnings to draw the visual attention is both a blessing and a curse. It is suggested to use the visual warning component for only a short period of time to attract the driver's attention to the forward scene, but then end the display to not further distract him. Car manufacturers try to avoid as many unnecessary alarms as possible. If driver monitoring would be available, it is often planned to suppress warnings when the driver is looking through the windshield. The results suggest not to do so. If a driver reaches a critical situation represented by a low Time-to-collision (TTC) or a high need to decelerate, he should always get a warning, unless he is already braking or steering. The most important arguments for this are: - Looking at the street does not mean that the driver has the correct situational awareness. - The driver has to learn the meaning of the warning. - The driver will not be annoyed by a warning when the situation is considered critical.