Steven W. Poser
Methods for assessing the regenerative responses of neural tissue
Poser, Steven W.; Rueger, Maria Adele; Androutsellis-Theotokis, Andreas
Authors
Maria Adele Rueger
Andreas Androutsellis-Theotokis
Contributors
Bruno Christ
Editor
Jana Oerlecke
Editor
Peggy Stock
Editor
Abstract
In order to establish novel therapeutic paradigms and advance the field of regenerative medicine, methods for their effective implementation as well as rigorous assessment of outcomes are critical. This is especially evident and challenging in the context of treating complex and devastating neurodegenerative disorders, such as Parkinson’s disease, multiple sclerosis, and ischemic stroke. Stem cell-based approaches offer great promise in addressing these conditions. Here, we demonstrate an approach for identifying factors that mobilize endogenous neural stem cells in the repair and recovery of the central nervous system of rodents, involving site-specific administration of growth factors that activate particular signal transduction pathways, and that allows for the assessment of outcome utilizing magnetic resonance imaging and immunohistochemistry.
Citation
Poser, S. W., Rueger, M. A., & Androutsellis-Theotokis, A. (2014). Methods for assessing the regenerative responses of neural tissue. In B. Christ, J. Oerlecke, & P. Stock (Eds.), Animal models for stem cell therapy (293-302). Humana Press. https://doi.org/10.1007/978-1-4939-1453-1_24
Acceptance Date | Aug 4, 2014 |
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Publication Date | Aug 4, 2014 |
Deposit Date | May 12, 2017 |
Electronic ISSN | 1064-3745 |
Publisher | Humana Press |
Peer Reviewed | Peer Reviewed |
Volume | 1213 |
Issue | 1213 |
Pages | 293-302 |
Series Title | Methods in molecular biology |
Book Title | Animal models for stem cell therapy |
ISBN | 9781493914531 |
DOI | https://doi.org/10.1007/978-1-4939-1453-1_24 |
Keywords | Stem cells; Regenerative medicine; Neurodegeneration; Magnetic resonance imaging; Immunohistochemistry |
Public URL | https://nottingham-repository.worktribe.com/output/734508 |
Publisher URL | https://doi.org/10.1007/978-1-4939-1453-1_24 |
Contract Date | May 12, 2017 |
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