Time-lapse electrical impedance spectroscopy for monitoring the cell cycle of single immobilized S-pombe cells

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Date
2015-11-26Type
- Journal Article
Citations
Cited 31 times in
Web of Science
Cited 38 times in
Scopus
ETH Bibliography
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Abstract
As a complement and alternative to optical methods, wide-band electrical impedance spectroscopy (EIS) enables multi-parameter, label-free and real-time detection of cellular and subcellular features. We report on a microfluidics-based system designed to reliably capture single rod-shaped Schizosaccharomyces pombe cells by applying suction through orifices in a channel wall. The system enables subsequent culturing of immobilized cells in an upright position, while dynamic changes in cell-cycle state and morphology were continuously monitored through EIS over a broad frequency range. Besides measuring cell growth, clear impedance signals for nuclear division have been obtained. The EIS system has been characterized with respect to sensitivity and detection limits. The spatial resolution in measuring cell length was 0.25 μm, which corresponds to approximately a 5-min interval of cell growth under standard conditions. The comprehensive impedance data sets were also used to determine the occurrence of nuclear division and cytokinesis. The obtained results have been validated through concurrent confocal imaging and plausibilized through comparison with finite-element modeling data. The possibility to monitor cellular and intracellular features of single S. pombe cells during the cell cycle at high spatiotemporal resolution renders the presented microfluidics-based EIS system a suitable tool for dynamic single-cell investigations. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000108322Publication status
publishedExternal links
Journal / series
Scientific ReportsVolume
Pages / Article No.
Publisher
Nature Publishing GroupSubject
Lab-on-a-chip; Biomedical engineeringOrganisational unit
03684 - Hierlemann, Andreas / Hierlemann, Andreas
03699 - Stelling, Jörg / Stelling, Jörg
Funding
267351 - Seamless Integration of Neurons with CMOS Microelectronics (EC)
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Show all metadata
Citations
Cited 31 times in
Web of Science
Cited 38 times in
Scopus
ETH Bibliography
yes
Altmetrics