Article ID Journal Published Year Pages File Type
1393741 Chemistry & Biology 2012 11 Pages PDF
Abstract

SummaryVisual observation is a powerful approach for screening bioactive compounds that can facilitate the discovery of attractive druggable targets following their chemicobiological validation. So far, many high-content approaches, using sophisticated imaging technology and bioinformatics, have been developed. In our study, we aimed to develop a simpler method that focuses on intact cell images because we found that dynamic changes in morphology are informative, often reflecting the mechanism of action of a drug. Here, we constructed a chemical-genetic phenotype profiling system, based on the high-content cell morphology database Morphobase. This database compiles the phenotypes of cancer cell lines that are induced by hundreds of reference compounds, wherein those of well-characterized anticancer drugs are classified by mode of action. Furthermore, we demonstrate the applicability of this system in identifying NPD6689, NPD8617, and NPD8969 as tubulin inhibitors.

Graphical AbstractFigure optionsDownload full-size imageDownload high-quality image (223 K)Download as PowerPoint slideHighlights► Development of an encyclopedia of cell morphology, Morphobase ► Small molecules classified by mode of action with Morphobase ► Morphobase system rapidly predicts molecular targets of compounds ► NPD6689 targets tubulin and is a lead for a class of antitubulin drugs

Related Topics
Physical Sciences and Engineering Chemistry Organic Chemistry
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