Integrating High-Content Analysis into a Multiplexed Screening Approach to Identify and Characterize GPCR Agonists. (August 2014)

• Record Type: Journal Article
• Authors: Zhu, Yingjie; Watson, John; Chen, Mengjie; Shen, Ding Ren; Yarde, Melissa; Agler, Michele; Burford, Neil; Alt, Andrew; Jayachandra, Sukhanya; Cvijic, Mary Ellen; Zhang, Litao; Dyckman, Alaric; Xie, Jenny; O'Connell, Jonathan; Banks, Martyn; Weston, Andrea
• Is Part Of: Journal of biomolecular screening. Volume 19:Number 7(2014)
• Page Start: 1079
• Page End: 1089
• Publication Date: 2014-08
• Subjects: high-content screening -- G protein–coupled receptors (GPCR) -- image analysis -- cell-based assays; Drugs -- Analysis -- Periodicals; Drugs -- Testing -- Periodicals; Biomolecules -- Analysis -- Periodicals; 572.36
• DOI: 10.1177/1087057114533146
• Languages: English
• ISSNs: 1087-0571

Abstract

G protein–coupled receptors (GPCRs) are one of the most popular and proven target classes for therapeutic intervention. The increased appreciation for allosteric modulation, receptor oligomerization, and biased agonism has led to the development of new assay platforms that seek to capitalize on these aspects of GPCR biology. High-content screening is particularly well suited for GPCR drug discovery given the ability to image and quantify changes in multiple cellular parameters, to resolve subcellular structures, and to monitor events within a physiologically relevant environment. Focusing on the sphingosine-1-phosphate (S1P1) receptor, we evaluated the utility of high-content approaches in hit identification efforts by developing and applying assays to monitor β-arrestin translocation, GPCR internalization, and GPCR recycling kinetics. Using these approaches in combination with more traditional GPCR screening assays, we identified compounds whose unique pharmacological profiles would have gone unnoticed if using a single platform. In addition, we identified a compound that induces an atypical pattern of β-arrestin translocation and GPCR recycling kinetics. Our results highlight the value of high-content imaging in GPCR drug discovery efforts and emphasize the value of a multiassay approach to study pharmacological properties of compounds of interest.