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Gold nanoparticle labeling of cells is a sensitive method to investigate cell distribution and migration in animal models of human disease
- Publication Year :
- 2011
-
Abstract
- The ability to track cells in small-animal models of human disease is important because it gives the potential to improve our understanding of the processes of disease progression as well as our understanding of the therapeutic effects of interventions. In this study gold nanoparticles have been used as a permanent marker of implanted normal and malignant cell grafts in combination with a suitable x-ray apparatus. Using x-ray computed tomography the micrometric three-dimensional distribution of these marked cells could be displayed with penetration depth, high cell sensitivity and high spatial resolution in rodent models of human diseases. In principle the method allows quantification of cell numbers at any anatomical location over time in small animals. From the Clinical Editor: In this paper, a gold nanoparticle based cell labeling method is presented for in vivo cell tracking via micro-CT. Although a tumor model is shown in this pilot experiment, the method can theoretically be utilized in cell labeling experiments of any kind.
- Subjects :
- Materials science
Gold nano-particle
Cell
Biomedical Engineering
Metal Nanoparticles
Pharmaceutical Science
Medicine (miscellaneous)
Nanoparticle
Bioengineering
Nanotechnology
Cell Line
Human disease
Cell Movement
Cell Line, Tumor
medicine
Animals
Humans
Distribution (pharmacology)
General Materials Science
Rats, Wistar
Micrometric bio-distribution
Cells, Cultured
High resolution imaging
Anatomical location
X-ray CT
Staining and Labeling
Synchrotron radiation
Mesenchymal Stem Cells
High cell
Gold nano-particles
X-ray phase contrast
Rats
Disease Models, Animal
medicine.anatomical_structure
Cell Tracking
Cell culture
Colloidal gold
Molecular Medicine
Gold
Tomography, X-Ray Computed
Head
Biomedical engineering
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....dd2edeb5e8087a4e57f50bb7256e7d85