論文 - 詳細
| RRC ID | 54047 |
|---|---|
| 著者 | Yasui M, Hiroshima M, Kozuka J, Sako Y, Ueda M. |
| タイトル | Automated single-molecule imaging in living cells. |
| ジャーナル | Nat Commun |
| Abstract |
An automated single-molecule imaging system developed for live-cell analyses based on artificial intelligence-assisted microscopy is presented. All significant procedures, i.e., searching for cells suitable for observation, detecting in-focus positions, and performing image acquisition and single-molecule tracking, are fully automated, and numerous highly accurate, efficient, and reproducible single-molecule imaging experiments in living cells can be performed. Here, the apparatus is applied for single-molecule imaging and analysis of epidermal growth factor receptors (EGFRs) in 1600 cells in a 96-well plate within 1 day. Changes in the lateral mobility of EGFRs on the plasma membrane in response to various ligands and drug concentrations are clearly detected in individual cells, and several dynamic and pharmacological parameters are determined, including the diffusion coefficient, oligomer size, and half-maximal effective concentration (EC50). Automated single-molecule imaging for systematic cell signaling analyses is feasible and can be applied to single-molecule screening, thus extensively contributing to biological and pharmacological research. |
| 巻・号 | 9(1) |
| ページ | 3061 |
| 公開日 | 2018-8-3 |
| DOI | 10.1038/s41467-018-05524-7 |
| PII | 10.1038/s41467-018-05524-7 |
| PMID | 30076305 |
| PMC | PMC6076334 |
| MeSH | Animals Artificial Intelligence Cell Line Cell Membrane Cell Tracking / methods* Cricetulus Dose-Response Relationship, Drug Fluorescent Dyes Kinetics Models, Biological Single Molecule Imaging / methods* |
| IF | 12.121 |
| 引用数 | 7 |
| オルトメトリクス指標 |
オルトメトリクス指標項目
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| 最多言及媒体 | X(Twitter) |
| 各媒体での言及数の合計 | 104 |
| 過去6か月間でのオルトメトリクス指標の変動値 | 0.0 |
| リソース情報 | |
| ヒト・動物細胞 | CHO-K1(RCB0285) |