タナベ ケンジ
Tanabe Kenji
田邊 賢司 所属 研究施設 研究施設 職種 准教授 |
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論文種別 | 原著 |
言語種別 | 英語 |
査読の有無 | 査読あり |
表題 | Image-Based Profiling Can Discriminate the Effects of Inhibitors on Signaling Pathways under Differential Ligand Stimulation. |
掲載誌名 | 正式名:SLAS discovery : advancing life sciences R & D 略 称:SLAS Discov ISSNコード:(2472-5560)2472-5552(Linking) |
掲載区分 | 国外 |
巻・号・頁 | pp.2472555217751091 |
著者・共著者 | Tanabe Kenji, Inagaki Ayane, Henmi Yuji, Satake Masanobu |
担当区分 | 筆頭著者,責任著者 |
発行年月 | 2018/01 |
概要 | A major advantage of image-based phenotypic profiling of compounds is that numerous image features can be sampled and quantitatively evaluated in an unbiased way. However, since this assay is a discovery-oriented screening, it is difficult to determine the optimal experimental setup in advance. In this study, we examined whether variable cellular stimulation affects the efficacy of the image-based profiling of compounds. Seven different epidermal growth factor receptor (EGFR) ligands were used, and the expression of EGFR signaling molecules was monitored at various time points. Significant quantitative differences in image features were detected among the differentially treated samples. Next, 14 different compounds that affect EGFR signaling were profiled. Nearly half of the compounds were classified into distinct clusters, irrespective of differential ligand stimulation. The results suggest that image-based phenotypic profiling is quite robust in its ability to predict compound interaction with its target. Although this method will have to be validated in other experimental systems, the robustness of image-based compound profiling demonstrated in this work provides a valid basis for further study and its extended application. |
DOI | 10.1177/2472555217751091 |
PMID | 29298398 |