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DOI 10.1177/2472555218764678

Медицинская библиотека · SLAS discovery : advancing life sciences R & D · 2018

Plate-Based Phenotypic Screening for Pain Using Human iPSC-Derived Sensory Neurons.

Stacey Peter, Wassermann Anne Mai, Kammonen Laura, Impey Emma, Wilbrey Anna, Cawkill Darren

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Аннотация

Screening against a disease-relevant phenotype to identify compounds that change the outcome of biological pathways, rather than just the activity of specific targets, offers an alternative approach to find modulators of disease characteristics. However, in pain research, use of in vitro phenotypic screens has been impeded by the challenge of sourcing relevant neuronal cell types in sufficient quantity and developing functional end-point measurements with a direct disease link. To overcome these hurdles, we have generated human induced pluripotent stem cell (hiPSC)-derived sensory neurons at a robust production scale using the concept of cryopreserved "near-assay-ready" cells to decouple complex cell production from assay development and screening. hiPSC sensory neurons have then been used for development of a 384-well veratridine-evoked calcium flux assay. This functional assay of neuronal excitability was validated for phenotypic relevance to pain and other hyperexcitability disorders through screening a small targeted validation compound subset. A 2700-compound chemogenomics screen was then conducted to profile the range of target-based mechanisms able to inhibit veratridine-evoked excitability. This report presents the assay development, validation, and screening data. We conclude that high-throughput-compatible pain-relevant phenotypic screening with hiPSC sensory neurons is feasible and ready for application for the identification of new targets, pathways, mechanisms of action, and compounds for modulating neuronal excitability.

Для цитирования: Stacey Peter, Wassermann Anne Mai, Kammonen Laura, Impey Emma, Wilbrey Anna, Cawkill Darren. Plate-Based Phenotypic Screening for Pain Using Human iPSC-Derived Sensory Neurons.. SLAS discovery : advancing life sciences R & D. 2018. DOI: 10.1177/2472555218764678.

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