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Single-Cell Migration as Studied by Scanning Electrochemical Microscopy.

J Ganesh Ummadi1, Vrushali S Joshi1, Priya R Gupta1

  • 1Department of Chemistry, Oregon State University, Corvallis, OR 97331, USA.

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|November 4, 2015
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Summary

Scanning electrochemical microscopy (SECM) tracked single head and neck cancer cell migration. A novel graphite electrode enabled detailed cell morphology and migration pattern analysis, revealing heterogeneous movement in live cells.

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Area of Science:

  • Biophysics
  • Cell Biology
  • Analytical Chemistry

Background:

  • Cell migration is crucial for cancer metastasis.
  • Understanding single-cell biomechanics requires advanced imaging techniques.
  • Scanning electrochemical microscopy (SECM) offers high-resolution electrochemical analysis.

Purpose of the Study:

  • To investigate the migration patterns and morphology of single live head and neck cancer cells (SCC25) using SECM.
  • To evaluate a newly developed graphite paste ultramicroelectrode (UME) for SECM applications in cell studies.
  • To compare the migration behavior of synchronized versus unsynchronized cancer cells.

Main Methods:

  • Utilized SECM with a novel graphite paste ultramicroelectrode (UME) to monitor single SCC25 cell migration.
  • Employed SECM probe scan curves to measure cell morphology (height and diameter) in real-time.
  • Analyzed migration patterns and calculated migration speeds of individual cells.

Main Results:

  • The graphite UME exhibited reduced fouling compared to a Pt-UME, enabling prolonged cell tracking.
  • Measured single live cancer cell dimensions as 11 ± 4 μm (height) and 40 ± 10 μm (diameter).
  • Observed heterogeneous migration patterns (migratory and stationary states) in unsynchronized SCC25 cells (speed: 8 ± 3 μm/h).
  • Found non-heterogeneous migration patterns in serum-starved synchronized SCC25 cells (speed: 9 ± 3 μm/h).

Conclusions:

  • SECM with a graphite UME is a viable non-invasive technique for studying single-cell biomechanics.
  • Cancer cell migration exhibits heterogeneity, influenced by cellular state (e.g., synchronization).
  • This SECM-based approach can be extended to other cell lines for detailed cellular function studies.