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  5. Differentiation of Bone Marrow Stem Cells into Schwann Cells for the Promotion of Neurite Outgrowth on Electrospun Fibers

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Article
en
2017

Differentiation of Bone Marrow Stem Cells into Schwann Cells for the Promotion of Neurite Outgrowth on Electrospun Fibers

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0 Files

en
2017
Vol 9 (14)
Vol. 9
DOI: 10.1021/acsami.7b00882

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Younan Xia
Younan Xia

Institution not specified

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Jiajia Xue
Junyu Yang
Deirdre O’Connor
+4 more

Abstract

Seeding nerve guidance conduits with Schwann cells can improve the outcome of peripheral nerve injury repair. Bone marrow stem cells (BMSCs) represent a good choice of cell source as they can differentiate into Schwann cells under appropriate conditions. In this work, we systematically investigated the differentiation of BMSCs into Schwann cells on scaffolds comprising electrospun fibers. We changed the alignment, diameter, and surface properties of the fibers to optimize the differentiation efficiency. The uniaxial alignment of fibers not only promoted the differentiation of BMSCs into Schwann cells but also dictated the morphology and alignment of the derived cells. Coating the surface of aligned fibers with laminin further enhanced the differentiation and thus increased the secretion of neurotrophins. When co-cultured with PC12 cells or chick dorsal root ganglion, the as-derived Schwann cells were able to promote the outgrowth of neurites from cell bodies and direct their extension along the fibers, demonstrating the positive impacts of both the neurotrophic effect and the morphological contact guidance. This work offers a promising strategy for integrating fiber guidance with stem cell therapy to augment peripheral nerve injury repair.

How to cite this publication

Jiajia Xue, Junyu Yang, Deirdre O’Connor, Chunlei Zhu, Da Huo, Nicholas M. Boulis, Younan Xia (2017). Differentiation of Bone Marrow Stem Cells into Schwann Cells for the Promotion of Neurite Outgrowth on Electrospun Fibers. , 9(14), DOI: https://doi.org/10.1021/acsami.7b00882.

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Publication Details

Type

Article

Year

2017

Authors

7

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1021/acsami.7b00882

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