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Showing 1 to 3 of 3 (0.074 seconds)Spelling suggestions: "subject:"proteinidentifizierung"" "subject:"proteinquantifizierung""
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Microdialysis Sampling from Wound Fluids Enables Quantitative Assessment of Cytokines, Proteins, and Metabolites Reveals Bone Defect-Specific Molecular ProfilesFörster, Yvonne, Schmidt, Johannes R., Wissenbach, Dirk K., Pfeiffer, Susanne E. M., Baumann, Sven, Hofbauer, Lorenz C., von Bergen, Martin, Kalkhof, Stefan, Rammelt, Stefan 27 January 2017 (has links) (PDF)
Bone healing involves a variety of different cell types and biological processes. Although certain key molecules have been identified, the molecular interactions of the healing progress are not completely understood. Moreover, a clinical routine for predicting the quality of bone healing after a fracture in an early phase is missing. This is mainly due to a lack of techniques to comprehensively screen for cytokines, growth factors and metabolites at their local site of action. Since all soluble molecules of interest are present in the fracture hematoma, its in-depth assessment could reveal potential markers for the monitoring of bone healing. Here, we describe an approach for sampling and quantification of cytokines and metabolites by using microdialysis, combined with solid phase extractions of proteins from wound fluids. By using a control group with an isolated soft tissue wound, we could reveal several bone defect-specific molecular features. In bone defect dialysates the neutrophil chemoattractants CXCL1, CXCL2 and CXCL3 were quantified with either a higher or earlier response compared to dialysate from soft tissue wound. Moreover, by analyzing downstream adaptions of the cells on protein level and focusing on early immune response, several proteins involved in the immune cell migration and activity could be identified to be specific for the bone defect group, e.g. immune modulators, proteases and their corresponding inhibitors. Additionally, the metabolite screening revealed different profiles between the bone defect group and the control group. In summary, we identified potential biomarkers to indicate imbalanced healing progress on all levels of analysis.
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Microdialysis Sampling from Wound Fluids Enables Quantitative Assessment of Cytokines, Proteins, and Metabolites Reveals Bone Defect-Specific Molecular ProfilesFörster, Yvonne, Schmidt, Johannes R., Wissenbach, Dirk K., Pfeiffer, Susanne E. M., Baumann, Sven, Hofbauer, Lorenz C., von Bergen, Martin, Kalkhof, Stefan, Rammelt, Stefan 27 January 2017 (has links)
Bone healing involves a variety of different cell types and biological processes. Although certain key molecules have been identified, the molecular interactions of the healing progress are not completely understood. Moreover, a clinical routine for predicting the quality of bone healing after a fracture in an early phase is missing. This is mainly due to a lack of techniques to comprehensively screen for cytokines, growth factors and metabolites at their local site of action. Since all soluble molecules of interest are present in the fracture hematoma, its in-depth assessment could reveal potential markers for the monitoring of bone healing. Here, we describe an approach for sampling and quantification of cytokines and metabolites by using microdialysis, combined with solid phase extractions of proteins from wound fluids. By using a control group with an isolated soft tissue wound, we could reveal several bone defect-specific molecular features. In bone defect dialysates the neutrophil chemoattractants CXCL1, CXCL2 and CXCL3 were quantified with either a higher or earlier response compared to dialysate from soft tissue wound. Moreover, by analyzing downstream adaptions of the cells on protein level and focusing on early immune response, several proteins involved in the immune cell migration and activity could be identified to be specific for the bone defect group, e.g. immune modulators, proteases and their corresponding inhibitors. Additionally, the metabolite screening revealed different profiles between the bone defect group and the control group. In summary, we identified potential biomarkers to indicate imbalanced healing progress on all levels of analysis.
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Die Entwicklung von Immunoproteomics-Methoden am Beispiel der Identifizierung Magenkarzinom-assoziierter Helicobacter pylori AntigeneKrah, Alexander 20 December 2004 (has links)
Das magenbesiedelnde Bakterium Helicobacter pylori gehört zu den am weitesten verbreiteten Infektionserregern. Obwohl die Infektion meist lebenslang symptomlos verläuft, kann H. pylori bei einigen Menschen schwere Erkrankungen bis hin zum Magenkarzinom verursachen. Ziele dieser Arbeit waren Magenkarzinom-assoziierte Antigene für einen diagnostischen Test zu finden und Methoden zur Untersuchung von Spotkompositionen mittels MALDI-TOF/TOF Massenspektrometrie zu entwickeln. Im ersten Teil der Promotion wurden die Antigenerkennungsmuster von 30 Magenadenokarzinom- mit 30 Ulkus duodeni-Patienten mithilfe hochauflösender zweidimensionaler Immunoblots von H. pylori Lysat verglichen. Diese fokussierte Gegenüberstellung eignet sich gut für diese Fragestellung, da beide Erkrankungen von diesem Bakterium verursacht werden, aber nur sehr selten gemeinsam auftreten. Durch univariate statistische Analysen wurden 14 Magenkarzinom korrelierte Spots gefunden (p / The stomach-colonizing bacterium Helicobacter pylori is one of the most widespread infectious agents. Although infection mostly persists unnoticed, it may cause serious diseases like gastric carcinoma. Aims of this project were to find gastric carcinoma-associated antigens for a diagnostic test and to develop methods to analyze spot compositions using MALDI-TOF/TOF mass spectrometry. In the first part of this project antigen recognition patterns of 30 gastric carcinoma- and 30 duodenal ulcer- patients were compared using high-resolution two-dimensional immunoblots of H. pylori lysate. This focused comparison lent itself to this question because both diseases are caused by the bacterium but rarely occur conjointly. Utilizing univariate statistical tests 14 gastric carcinoma-associated spots were found (p
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