Magnetic Nanoparticle Labeling of Astrocytes Derived for Neural Transplantation

Pickard, Mark R.; Jenkins, Stuart I.; Koller, Chris J.; Furness, David N.; Chari, Divya M.

Abstract

Astrocytes are a major transplant cell population to promote neural repair in a range of pathological conditions. In this context, the development of robust methods to label neural transplant populations (for subsequent detection and cell tracking in vivo) is key for translational applications. Magnetic iron oxide nanoparticles (MNP)-based vector systems offer a range of advantages for neural cell transplantation, notably, as contrast agents for magnetic resonance imaging, which allows for MNP-labeled cells to be detected using minimally invasive methods. Additionally, MNPs have other key features such as safety, the potential for linking with genetic material/drugs, and magnetic cell targeting. Therefore, MNPs can potentially be developed as a multipurpose nanoplatform for neural cell transplantation. The feasibility of labeling astrocytes derived for transplantation with MNPs has not been assessed to date. Here, we have established simple protocols to safely label astrocytes with MNPs; the survival and differentiation of labeled cells was assessed in three dimensional neural tissue arrays. Additionally, we have established the major mechanisms of MNP uptake by astrocytes.

Citation

Pickard, M. R., Jenkins, S. I., Koller, C. J., Furness, D. N., & Chari, D. M. (2011). Magnetic Nanoparticle Labeling of Astrocytes Derived for Neural Transplantation. Tissue Engineering Part C: Methods, 17(1), 89-99. https://doi.org/10.1089/ten.tec.2010.0170

• Journal Article Type: Article
• Online Publication Date: Sep 21, 2010
• Publication Date: 2011-01
• Deposit Date: Jun 11, 2024
• Journal: Tissue Engineering Part C: Methods
• Print ISSN: 1937-3384
• Electronic ISSN: 1937-3392
• Publisher: Mary Ann Liebert
• Peer Reviewed: Peer Reviewed
• Volume: 17
• Issue: 1
• Pages: 89-99
• DOI: https://doi.org/10.1089/ten.tec.2010.0170
• Public URL: https://keele-repository.worktribe.com/output/848825
• Publisher URL: https://www.liebertpub.com/doi/10.1089/ten.tec.2010.0170