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Hypoxic Preconditioning of Marrow-derived Progenitor Cells As a Source for the Generation of Mature Schwann Cells
Published on: June 14, 2017
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Development and In Vitro Differentiation of Schwann Cells
Sarah Janice Hörner1,2,3, Nathalie Couturier1,2,3, Daniele Caroline Gueiber1,2,3,4
1Institute of Molecular and Cell Biology, Mannheim University of Applied Sciences, 68163 Mannheim, Germany.
Cells
|December 11, 2022
Summary
Generating Schwann cells in vitro is crucial for research and therapies. This review details methods for differentiating stem cells into Schwann cells, aiding protocol selection for various applications.
Area of Science:
- Neuroscience
- Developmental Biology
- Cell Biology
Background:
- Schwann cells are vital glial cells in the peripheral nervous system, with diverse functions.
- Obtaining sufficient primary human Schwann cells for research is challenging.
- In vitro differentiation offers a scalable alternative for Schwann cell generation.
Purpose of the Study:
- To review in vivo developmental signaling pathways for neural crest and Schwann cell differentiation.
- To provide an overview of in vitro Schwann cell differentiation protocols from stem cells.
- To compare and refine existing differentiation methods for specific applications.
Main Methods:
- Review of literature on developmental signaling mechanisms.
- Analysis of in vitro differentiation studies using multipotent stem cells.
- Comparison of protocols based on human induced pluripotent stem cells (hiPSCs) and human embryonic stem cells (hESCs).
Main Results:
- Key signaling molecules and pathways involved in Schwann cell differentiation are identified.
- Various protocols for in vitro Schwann cell differentiation are described and compared.
- Efficiency and cell characterization across different methods are discussed.
Conclusions:
- This review consolidates current knowledge on Schwann cell differentiation resources and methods.
- It facilitates the comparison and optimization of protocols for research and therapeutic use.
- Guidance is provided for selecting appropriate methods based on specific application needs.

