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Human neural stem cells differentiate and promote locomotor recovery in spinal cord-injured mice

Open access
Cummings, Brian J., Uchida, Nobuko, Tamaki, Stanley J., Salazar, Desirée L., Hooshmand, Mitra, Summers, Robert, Gage, Fred H., Anderson, Aileen J.·2005·Proceedings of the National Academy of Sciences

Abstract

We report that prospectively isolated, human CNS stem cells grown as neurospheres (hCNS-SCns) survive, migrate, and express differentiation markers for neurons and oligodendrocytes after long-term engraftment in spinal cord-injured NOD- scid mice. hCNS-SCns engraftment was associated with locomotor recovery, an observation that was abolished by selective ablation of engrafted cells by diphtheria toxin. Remyelination by hCNS-SCns was found in both the spinal cord injury NOD- scid model and myelin-deficient shiverer mice. Moreover, electron microscopic evidence consistent with synapse formation between hCNS-SCns and mouse host neurons was observed. Glial fibrillary acidic protein-positive astrocytic differentiation was rare, and hCNS-SCns did not appear to contribute to the scar. These data suggest that hCNS-SCns may possess therapeutic potential for CNS injury and disease.

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Metadata

Authors
Cummings, B. J., Uchida, N., Tamaki, S. J., Salazar, D. L., Hooshmand, M., Summers, R., Gage, F. H., & Anderson, A. J.
Venue
Proceedings of the National Academy of Sciences
Published
2005-09-19
Volume
102
Issue
39
Pages
14069-14074
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2153286899
Cited by
714
References
0
FWCI
21.08
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Human neural stem cells differentiate and promote locomotor recovery in spinal cord-injured mice. https://app.cochat.ai/papers/10.1073/pnas.0507063102
The paper
Cummings, B. J., Uchida, N., Tamaki, S. J., Salazar, D. L., Hooshmand, M., Summers, R., Gage, F. H., & Anderson, A. J. (2005). Human neural stem cells differentiate and promote locomotor recovery in spinal cord-injured mice. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0507063102

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.