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Silica particles as a nanoparticulate carrier material for contrast agents have received considerable attention the past few years, since the material holds great promise for biomedical applications. A key feature for successful application of this material in vivo is biocompatibility, which may be significantly improved by appropriate surface modification. In this study, we report a novel strategy to coat silica particles with a dense monolayer of paramagnetic and PEGylated lipids. The silica nanoparticles carry a quantum dot in their center and are made target-specific by the conjugation of multiple alphavbeta3-integrin-specific RGD-peptides. We demonstrate their specific uptake by endothelial cells in vitro using fluorescence microscopy, quantitative fluorescence imaging, and magnetic resonance imaging. The lipid-coated silica particles introduced here represent a new platform for nanoparticulate multimodality contrast agents.
Gadolinium DTPA, Surface Properties, Contrast Media, Silicon Dioxide, Lipids, Magnetic Resonance Imaging, Fluorescence, Cell Line, Polyethylene Glycols, Magnetics, Quantum Dots, Animals, Humans, Cattle, Hydrophobic and Hydrophilic Interactions
Gadolinium DTPA, Surface Properties, Contrast Media, Silicon Dioxide, Lipids, Magnetic Resonance Imaging, Fluorescence, Cell Line, Polyethylene Glycols, Magnetics, Quantum Dots, Animals, Humans, Cattle, Hydrophobic and Hydrophilic Interactions
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 140 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |