1 Pfizer Neusentis, Great Abington, Cambridgeshire, UK.
2 Pfizer, Computational Sciences, Cambridge, MA, USA.
SLAS Discov. 2018 Jul;23(6):585-596. doi: 10.1177/2472555218764678. Epub 2018 Mar 16.
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.
通过针对与疾病相关表型的筛选,识别改变生物途径结果而不仅仅是特定靶标活性的化合物,为寻找疾病特征调节剂提供了一种替代方法。然而,在疼痛研究中,由于难以获得足够数量的相关神经元细胞类型,以及难以开发具有直接疾病关联的功能终点测量方法,因此体外表型筛选在疼痛研究中受到阻碍。为了克服这些障碍,我们使用冷冻“近乎可进行测定”细胞的概念,以将复杂的细胞生产与测定开发和筛选分离,在大规模生产中生成了人诱导多能干细胞(hiPSC)衍生感觉神经元。然后,使用 hiPSC 感觉神经元开发了 384 孔藜芦碱诱导的钙通量测定法。通过对小部分靶向验证化合物进行筛选,该神经元兴奋性的功能测定方法已针对疼痛和其他过度兴奋性疾病的表型相关性进行了验证。然后进行了 2700 种化合物的化学生物基因组筛选,以分析能够抑制藜芦碱诱导的兴奋性的基于靶标的机制范围。本报告介绍了测定方法的开发、验证和筛选数据。我们得出结论,使用 hiPSC 感觉神经元进行高通量兼容的疼痛相关表型筛选是可行的,并已准备好用于鉴定新的靶标、途径、作用机制和调节神经元兴奋性的化合物。