Patch Clamp Analysis of Opioid-Induced Kir3 Currents in Mouse Peripheral Sensory Neurons Following Nerve Injury.


Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2021
Historique:
entrez: 25 9 2020
pubmed: 26 9 2020
medline: 23 3 2021
Statut: ppublish

Résumé

Patch clamp is an electrophysiological technique that allows to analyze the activity of ion channels in neurons. In this chapter, we provide a detailed description of patch clamp protocol to measure the effect of a μ-opioid receptor agonist on the activity of G protein-coupled inwardly rectifying potassium (GIRK or Kir3) channels. This is performed in peripheral sensory neurons isolated from dorsal root ganglia (DRG) of mice without or with a chronic constriction injury (CCI) of the sciatic nerve, which models neuropathic pain. We describe the induction of the CCI , isolation and culture of DRG neurons, performance of the patch clamp recordings, and identification of opioid-responding neurons.

Identifiants

pubmed: 32975795
doi: 10.1007/978-1-0716-0884-5_12
doi:

Substances chimiques

G Protein-Coupled Inwardly-Rectifying Potassium Channels 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

127-137

Auteurs

Viola Seitz (V)

Department of Experimental Anesthesiology, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany. viola.seitz@charite.de.
Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany. viola.seitz@charite.de.

Philip Stötzner (P)

Department of Experimental Anesthesiology, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany.

Dominika Labuz (D)

Department of Experimental Anesthesiology, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany.

Halina Machelska (H)

Department of Experimental Anesthesiology, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany.

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Classifications MeSH