Chapter title |
Labeling Pluripotent Stem Cell-Derived Neural Progenitors with Iron Oxide Particles for Magnetic Resonance Imaging.
|
---|---|
Chapter number | 123 |
Book title |
Stem Cells and Good Manufacturing Practices
|
Published in |
Methods in molecular biology, October 2014
|
DOI | 10.1007/7651_2014_123 |
Pubmed ID | |
Book ISBNs |
978-1-4939-2434-9, 978-1-4939-2435-6
|
Authors |
Sart S, Bejarano FC, Yan Y, Grant SC, Li Y, Sébastien Sart, Fabian Calixto Bejarano, Yuanwei Yan, Samuel C. Grant, Yan Li, Sart, Sébastien, Bejarano, Fabian Calixto, Yan, Yuanwei, Grant, Samuel C., Li, Yan |
Abstract |
Due to the unlimited proliferation capacity and the unique differentiation ability of pluripotent stem cells (PSCs), including both embryonic stem cells (ESCs) and induced pluripotent stem cells (iPSCs), large numbers of PSC-derived cell products are in demand for applications in drug screening, disease modeling, and especially cell therapy. In stem cell-based therapy, tracking transplanted cells with magnetic resonance imaging (MRI) has emerged as a powerful technique to reveal cell survival and distribution. This chapter illustrated the basic steps of labeling PSC-derived neural progenitors (NPs) with micron-sized particles of iron oxide (MPIO, 0.86 μm) for MRI analysis. The protocol described PSC expansion and differentiation into NPs, and the labeling of the derived cells either after replating on adherent surface or in suspension. The labeled cells can be analyzed using in vitro MRI analysis. The methods presented here can be easily adapted for cell labeling in cell processing facilities under current Good Manufacturing Practices (cGMP). The iron oxide-labeled NPs can be used for cellular monitoring of in vitro cultures and in vivo transplantation. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 1 | 7% |
Unknown | 14 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 27% |
Other | 3 | 20% |
Student > Master | 2 | 13% |
Student > Ph. D. Student | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Other | 2 | 13% |
Unknown | 2 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 3 | 20% |
Biochemistry, Genetics and Molecular Biology | 2 | 13% |
Chemical Engineering | 2 | 13% |
Immunology and Microbiology | 1 | 7% |
Neuroscience | 1 | 7% |
Other | 3 | 20% |
Unknown | 3 | 20% |