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Optimization of the magnetic labeling of human neural stem cells and MRI visualization in the hemiparkinsonian rat brain

Overview of attention for article published in Journal of Nanobiotechnology, March 2015
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Title
Optimization of the magnetic labeling of human neural stem cells and MRI visualization in the hemiparkinsonian rat brain
Published in
Journal of Nanobiotechnology, March 2015
DOI 10.1186/s12951-015-0078-4
Pubmed ID
Authors

Milagros Ramos-Gómez, Emma G Seiz, Alberto Martínez-Serrano

Abstract

Magnetic resonance imaging is the ideal modality for non-invasive in vivo cell tracking allowing for longitudinal studies over time. Cells labeled with superparamagnetic iron oxide nanoparticles have been shown to induce sufficient contrast for in vivo magnetic resonance imaging enabling the in vivo analysis of the final location of the transplanted cells. For magnetic nanoparticles to be useful, a high internalization efficiency of the particles is required without compromising cell function, as well as validation of the magnetic nanoparticles behaviour inside the cells. In this work, we report the development, optimization and validation of an efficient procedure to label human neural stem cells with commercial nanoparticles in the absence of transfection agents. Magnetic nanoparticles used here do not affect cell viability, cell morphology, cell differentiation or cell cycle dynamics. Moreover, human neural stem cells progeny labeled with magnetic nanoparticles are easily and non-invasively detected long time after transplantation in a rat model of Parkinson's disease (up to 5 months post-grafting) by magnetic resonance imaging. These findings support the use of commercial MNPs to track cells for short- and mid-term periods after transplantation for studies of brain cell replacement therapy. Nevertheless, long-term MR images should be interpreted with caution due to the possibility that some MNPs may be expelled from the transplanted cells and internalized by host microglial cells.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 25%
Researcher 9 17%
Student > Bachelor 5 10%
Student > Master 5 10%
Student > Doctoral Student 3 6%
Other 6 12%
Unknown 11 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 17%
Medicine and Dentistry 7 13%
Agricultural and Biological Sciences 4 8%
Engineering 3 6%
Psychology 3 6%
Other 11 21%
Unknown 15 29%