Live-cell metabolic analysis of oligodendroglia isolated from postnatal mouse brain and spinal cord.


Journal

STAR protocols
ISSN: 2666-1667
Titre abrégé: STAR Protoc
Pays: United States
ID NLM: 101769501

Informations de publication

Date de publication:
16 09 2022
Historique:
entrez: 12 9 2022
pubmed: 13 9 2022
medline: 14 9 2022
Statut: epublish

Résumé

This protocol describes isolation and live-cell metabolic analysis of O4+ oligodendroglia from brain and spinal cord of postnatal mice. We have optimized existing protocols for O4+ isolation from neonatal brain and expanded the protocol to include isolation of highly viable oligodendroglia from spinal cords of postnatal mice up to 18 days of age. Isolated oligodendroglia can be used in multiple downstream analyses, and here we describe an optimized real-time metabolic assay using Agilent Seahorse Analyzer to measure mitochondrial respiration. For complete details on the use and execution of this protocol, please refer to Khandker et al. (2022).

Identifiants

pubmed: 36092821
doi: 10.1016/j.xpro.2022.101655
pii: S2666-1667(22)00535-4
pmc: PMC9449657
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

101655

Subventions

Organisme : NINDS NIH HHS
ID : R37 NS082203
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS082203
Pays : United States

Informations de copyright

© 2022 The Author(s).

Déclaration de conflit d'intérêts

The authors declare no competing interests. L.K. is currently a Senior Scientist at Palatin Technologies, Cranbury, NJ 08512.

Références

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Auteurs

Luipa Khandker (L)

Department of Pharmacology, Physiology & Neuroscience, New Jersey Medical School, Rutgers University, Newark, NJ 07103, USA. Electronic address: luipa.khandker@gmail.com.

Teresa L Wood (TL)

Department of Pharmacology, Physiology & Neuroscience, New Jersey Medical School, Rutgers University, Newark, NJ 07103, USA. Electronic address: terri.wood@rutgers.edu.

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Classifications MeSH