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Inferring cellular responses to iron nanomedicines through data analysis
The project will explore responses to medical nanoparticles, with a focus on intravenous nanomedicines used for the treatment of iron deficiency. Analysis of data generated with the advanced blood vessel system will give an insight into cellular pathways that define a response to treatments
Keywords: nanomedicine, data analysis, proteomics, metabolomics, programming, computational biology, bioinformatics
This strongly interdisciplinary project focuses on biological responses to medically relevant nanoparticles by using data from microfluidics systems. For this, the advanced blood vessel system, which can mimic the physiological shear stress and flow condition within the human body are being applied to the study of intravenous iron nanomedicines that are used for the treatment of iron deficiency. As a cellular readout, the project provides metabolomics, proteomics and other large-scale data. This Master thesis work will be focused on the analysis of these datasets and on investigating the affected cellular pathways. The thesis project will offer an intensive training in data analysis and an in depth understanding of biomedical data integration for addressing medical needs. The student will be involved in data analysis, results interpretation and data visualisation.
This strongly interdisciplinary project focuses on biological responses to medically relevant nanoparticles by using data from microfluidics systems. For this, the advanced blood vessel system, which can mimic the physiological shear stress and flow condition within the human body are being applied to the study of intravenous iron nanomedicines that are used for the treatment of iron deficiency. As a cellular readout, the project provides metabolomics, proteomics and other large-scale data. This Master thesis work will be focused on the analysis of these datasets and on investigating the affected cellular pathways. The thesis project will offer an intensive training in data analysis and an in depth understanding of biomedical data integration for addressing medical needs. The student will be involved in data analysis, results interpretation and data visualisation.
Definition of relevant cellular response pathways and better characterisation of nanoparticle properties that define an organism response after a medical treatment.
Definition of relevant cellular response pathways and better characterisation of nanoparticle properties that define an organism response after a medical treatment.