Correlation of Optical and Automated Patch Clamp Electrophysiology for Identification of Na


Journal

SLAS discovery : advancing life sciences R & D
ISSN: 2472-5560
Titre abrégé: SLAS Discov
Pays: United States
ID NLM: 101697563

Informations de publication

Date de publication:
06 2020
Historique:
pubmed: 16 4 2020
medline: 17 7 2021
entrez: 16 4 2020
Statut: ppublish

Résumé

The voltage-gated sodium channel Nav1.7 is a genetically validated target for pain; pharmacological blockers are promising as a new class of nonaddictive therapeutics. The search for Nav1.7 subtype selective inhibitors requires a reliable, scalable, and sensitive assay. Previously, we developed an all-optical electrophysiology (Optopatch) Spiking HEK platform to study activity-dependent modulation of Nav1.7 in a format compatible with high-throughput screening. In this study, we benchmarked the Optopatch Spiking HEK assay with an existing validated automated electrophysiology assay on the IonWorks Barracuda (IWB) platform. In a pilot screen of 3520 compounds, which included compound plates from a random library as well as compound plates enriched for Nav1.7 inhibitors, the Optopatch Spiking HEK assay identified 174 hits, of which 143 were confirmed by IWB. The Optopatch Spiking HEK assay maintained the high reliability afforded by traditional fluorescent assays and further demonstrated comparable sensitivity to IWB measurements. We speculate that the Optopatch assay could provide an affordable high-throughput screening platform to identify novel Nav1.7 subtype selective inhibitors with diverse mechanisms of action, if coupled with a multiwell parallel optogenetic recording instrument.

Identifiants

pubmed: 32292096
doi: 10.1177/2472555220914532
pii: S2472-5552(22)06567-4
doi:

Substances chimiques

NAV1.7 Voltage-Gated Sodium Channel 0
SCN9A protein, human 0
Voltage-Gated Sodium Channel Blockers 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

434-446

Auteurs

Hongkang Zhang (H)

Q-State Biosciences, Cambridge, MA, USA.

Bryan D Moyer (BD)

Neuroscience, Amgen Research, Thousand Oaks, CA, USA.

Violeta Yu (V)

Neuroscience, Amgen Research, Cambridge, MA, USA.

Joseph G McGivern (JG)

Discovery Technologies, Amgen Research, South San Francisco, CA, USA.

Michael Jarosh (M)

Neuroscience, Amgen Research, Cambridge, MA, USA.

Christopher A Werley (CA)

Q-State Biosciences, Cambridge, MA, USA.

Vivian C Hecht (VC)

Q-State Biosciences, Cambridge, MA, USA.
Broad Institute of MIT and Harvard, Cambridge, MA, USA.

Ryan J Babcock (RJ)

Q-State Biosciences, Cambridge, MA, USA.
Broad Institute of MIT and Harvard, Cambridge, MA, USA.

Kevin Dong (K)

Q-State Biosciences, Cambridge, MA, USA.
Broad Institute of MIT and Harvard, Cambridge, MA, USA.

Graham T Dempsey (GT)

Q-State Biosciences, Cambridge, MA, USA.

Owen B McManus (OB)

Q-State Biosciences, Cambridge, MA, USA.

Chris M Hempel (CM)

Q-State Biosciences, Cambridge, MA, USA.
Expressive Neuroscience, Syracuse, NY, USA.

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Classifications MeSH