4.8 Article

Real-time electrical impedance detection of cellular activities of oral cancer cells

Journal

BIOSENSORS & BIOELECTRONICS
Volume 25, Issue 10, Pages 2225-2231

Publisher

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2010.02.029

Keywords

Real-time; Electrical impedance; Cellular activity; Cancer cell; Apoptosis

Funding

  1. National Science Foundation [CBET-0916138]
  2. Golden LEAF Foundation
  3. NCBIOIMPACT initiative of the state of North Carolina through the Biomanufacturing Research Institute and Technology Enterprise (BRITE) at North Carolina Central University (NCCU)
  4. Div Of Chem, Bioeng, Env, & Transp Sys
  5. Directorate For Engineering [0916138] Funding Source: National Science Foundation

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In this study, the electric cell-substrate impedance sensing (ECIS) system was used to study the cellular activities of oral squamous cell carcinoma (OSCC) cells in a real-time and label-free manner. Various cellular activities, including cell adhesion, spreading, proliferation, and drug-induced apoptosis and inhibition of apoptosis, were monitored. A linear relationship was found between the impedance-based cell index and the cell number in the range of 3500 to 35,000 cells/well. Anti-cancer drug-cisplatin-induced OSCC cell apoptosis at the minimal concentration of 5 mu M after 20 h of treatment and followed a linear dose-dependent manner in the concentration range from 10 mu M to 25 mu M. The inhibition of cisplatin-induced apoptosis by the carcinogen, nicotine, at concentrations from 0.1 mu M to 10 mu M was monitored. The most significant inhibitory effect of nicotine on cisplatin-induced apoptosis was observed at concentrations of 0.5-1 mu M. The results obtained with impedance method correlated well with microscopic imaging analysis of cellular morphology and cell viability analysis. This study demonstrated that the impedance-based method can provide real-time information about the cellular activity of viable cells and detect drug-induced cellular activities much earlier than commonly used cell-based image analysis. This impedance-based method has the potential to provide a useful analytical approach for cancer research. (C) 2010 Elsevier B.V. All rights reserved.

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