Challenges and opportunities in enabling high-throughput, miniaturized high content screening

Abstract

Within the Drug Discovery industry, there is a growing recognition of the value of high content screening (HCS), particularly as researchers aim to screen compounds and identify hits using more physiologically relevant in vitro cell-based assays. Image-based high content screening, with its combined ability to yield multiparametric data, provide subcellular resolution, and enable cell population analysis, is well suited to this challenge. While HCS has been in routine use for over a decade, a number of hurdles have historically prohibited very large, miniaturized high-throughput screening efforts with this platform. Suitable hardware and consumables for conducting 1536-well HCS have only recently become available, and developing a reliable informatics framework to accommodate the scale of high-throughput HCS data remains a considerable challenge. Additionally, innovative approaches are needed to interpret the large volumes of content-rich information generated. Despite these hurdles, there has been a growing interest in screening large compound inventories using this platform. Here, we outline the infrastructure developed and applied at Bristol-Myers Squibb for 1536-well high content screening and discuss key lessons learned.