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Extracellular electrophysiological based sensor to monitor cancer cells cooperative migration and cell-cell connections. | LitMetric

Extracellular electrophysiological based sensor to monitor cancer cells cooperative migration and cell-cell connections.

Biosens Bioelectron

Universidade do Algarve, Faculdade de Ciências e Tecnologia, 8005-139, Faro, Portugal; Instituto de Telecomunicações, Avenida Rovisco, Pais 1, 1049-001, Lisboa, Portugal. Electronic address:

Published: December 2019

AI Article Synopsis

  • - This study presents an electrophysiological sensor that can monitor and quantify how C6 glioma cells migrate and form cell-junctions in real time on electrode surfaces.
  • - The sensor captures changes in signal amplitude and frequency, allowing for accurate measurement of migration speed and differentiation between individual and collective cell movements.
  • - The technique has potential applications in cancer research, such as screening for compounds that inhibit cell migration, which could help develop new cancer treatment strategies.

Article Abstract

Herein, we describe an electrophysiological based sensor that reproducibly monitors and quantifies in real-time collective migration and the formation of cell-cell junctions by C6 glioma cells seeded on top of electrodes. The signal amplitude and frequency generated by the migrating cells changed over time and these parameters were used to accurately calculate the migration speed. Electrophysiological measurements could also distinguish individual from collective cell migration. The migration of densely packed cells generated strong signals, while dispersed cells showed weak bioelectrical activity. We propose this electrophysiological technique as a cell-based biosensor to gain insight into the mechanisms of cooperative migration of cancer cells. Possible applications include screening for anti-migratory compounds, which may lead to the development of novel strategies for antineoplastic chemotherapy.

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Source
http://dx.doi.org/10.1016/j.bios.2019.111708DOI Listing

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