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Nat Commun. 2018 Aug 3;9(1):3061. doi: 10.1038/s41467-018-05524-7.

Automated single-molecule imaging in living cells.

Author information

1
Laboratory for Cell Signaling Dynamics, RIKEN BDR, 6-2-3, Furuedai, Suita, Osaka, 565-0874, Japan.
2
Cellular Informatics Laboratory, RIKEN, 2-1 Hirosawa, Wako, 351-198, Japan.
3
Cellular Informatics Laboratory, RIKEN, 2-1 Hirosawa, Wako, 351-198, Japan. sako@riken.jp.
4
Laboratory for Cell Signaling Dynamics, RIKEN BDR, 6-2-3, Furuedai, Suita, Osaka, 565-0874, Japan. masahiroueda@riken.jp.
5
Laboratory of Single Molecule Biology, Graduate School of Frontier Biosciences, Osaka University, 1-3 Yamadaoka, Suita, Osaka, 565-0871, Japan. masahiroueda@riken.jp.

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.

PMID:
30076305
PMCID:
PMC6076334
DOI:
10.1038/s41467-018-05524-7
[Indexed for MEDLINE]
Free PMC Article

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