کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1393741 | 983985 | 2012 | 11 صفحه PDF | دانلود رایگان |

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 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
Journal: - Volume 19, Issue 12, 21 December 2012, Pages 1620–1630