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 compound profiling reveals a dual inhibitor of tyrosine kinase and microtubule polymerization. |
掲載誌名 | 正式名:Scientific reports 略 称:Sci Rep ISSNコード:(2045-2322)2045-2322(Linking) |
掲載区分 | 国外 |
巻・号・頁 | 6,pp.25095 |
著者・共著者 | Tanabe Kenji |
担当区分 | 筆頭著者,責任著者 |
発行年月 | 2016/04 |
概要 | Small-molecule compounds are widely used as biological research tools and therapeutic drugs. Therefore, uncovering novel targets of these compounds should provide insights that are valuable in both basic and clinical studies. I developed a method for image-based compound profiling by quantitating the effects of compounds on signal transduction and vesicle trafficking of epidermal growth factor receptor (EGFR). Using six signal transduction molecules and two markers of vesicle trafficking, 570 image features were obtained and subjected to multivariate analysis. Fourteen compounds that affected EGFR or its pathways were classified into four clusters, based on their phenotypic features. Surprisingly, one EGFR inhibitor (CAS 879127-07-8) was classified into the same cluster as nocodazole, a microtubule depolymerizer. In fact, this compound directly depolymerized microtubules. These results indicate that CAS 879127-07-8 could be used as a chemical probe to investigate both the EGFR pathway and microtubule dynamics. The image-based multivariate analysis developed herein has potential as a powerful tool for discovering unexpected drug properties. |
DOI | 10.1038/srep25095 |
PMID | 27117592 |