Derivation of Specific Neural Populations From Pluripotent Cells for Understanding and Treatment of Spinal Cord Injury.


Journal

Developmental dynamics : an official publication of the American Association of Anatomists
ISSN: 1097-0177
Titre abrégé: Dev Dyn
Pays: United States
ID NLM: 9201927

Informations de publication

Date de publication:
01 2019
Historique:
received: 12 06 2018
revised: 07 10 2018
accepted: 09 10 2018
pubmed: 17 10 2018
medline: 14 8 2019
entrez: 17 10 2018
Statut: ppublish

Résumé

Due to the nature of the biological response to traumatic spinal cord injury, there are very limited therapeutic options available to patients. Recent advances in cell transplantation have demonstrated the therapeutic potential of transplanting supportive cell types following spinal cord injury. In particular, pluripotent stem cell derived neural cells are of interest for future investigation. Use of pluripotent stem cells as the source allows many cell types to be produced from a population that can be expanded in vitro. In this review, we will discuss the signaling pathways that have been used to differentiate spinal neural phenotypes from pluripotent stem cells. Additionally, we will highlight methods that have been developed to direct the differentiation of pluripotent stem cells to specific neural fates. Further refinement and elaboration of these techniques might aid in elucidating the multitude of neuronal subtypes endogenous to the spinal cord, as well as produce further therapeutic options for spinal cord injury recovery. Developmental Dynamics 248:78-87, 2019. © 2018 Wiley Periodicals, Inc.

Identifiants

pubmed: 30324766
doi: 10.1002/dvdy.24680
pmc: PMC6640631
mid: NIHMS1039873
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Review

Langues

eng

Pagination

78-87

Subventions

Organisme : NINDS NIH HHS
ID : R01 NS051706
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS090617
Pays : United States
Organisme : NIH HHS
ID : R01NS051706
Pays : United States

Informations de copyright

© 2018 Wiley Periodicals, Inc.

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Auteurs

Nicholas White (N)

Department of Biomedical Engineering, University of Texas at Austin, Austin, Texas.

Shelly E Sakiyama-Elbert (SE)

Department of Biomedical Engineering, University of Texas at Austin, Austin, Texas.

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Classifications MeSH