Label-free, non-contact determination of resting membrane potential using dielectrophoresis

Measurement of cellular resting membrane potential (RMP) is important in understanding ion channels and their role in regulation of cell function across a wide range of cell types. However, methods available for the measurement of RMP (including patch clamp, microelectrodes, and potential-sensitive fluorophores) are expensive, slow, open to operator bias, and often result in cell destruction. We present non-contact, label-free membrane potential estimation which uses dielectrophoresis to determine the cytoplasm conductivity slope as a function of medium conductivity. By comparing this to patch clamp data available in the literature, we have demonstratet the accuracy of this approach using seven different cell types, including primary suspension cells (red blood cells, platelets), cultured suspension cells (THP-1), primary adherent cells (chondrocytes, human umbilical mesenchymal stem cells), and adherent (HeLa) and suspension (Jurkat) cancer cell lines. Analysis of the effect of ion channel inhibitors suggests the effects of pharmaceutical agents (TEA on HeLa; DMSO and neuraminidase on red blood cells) can also be measured. Comparison with published values of membrane potential suggest that the differences between our estimates and values recorded by patch clamp are accurate to within published margins of error. The method is low-cost, non-destructive, operator-independent and label-free, and has previously been shown to allow cells to be recovered after measurement.

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Publication Details

Journal
Scientific Reports
Published
2024-08-09
DOI
https://doi.org/10.1038/s41598-024-69000-7
Citations
8
Primary Topic
Microfluidic and Bio-sensing Technologies
Type
article
Field-Weighted Citation Impact
1.48

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article

Label-free, non-contact determination of resting membrane potential using dielectrophoresis

Nupur Kohli, Fatima H. Labeed, Rebecca Lewis, Muhammad Hamza Tariq et al.
8 citations
Scientific Reports
Microfluidic and Bio-sensing Technologies
1.48
article

Label-free, non-contact determination of resting membrane potential using dielectrophoresis

Nupur Kohli, Fatima H. Labeed, Rebecca Lewis, Muhammad Hamza Tariq, Krista S. P. Clarke, Matthew P. Johnson, Emily J. Kruchek, Rashedul Hoque, Oreoluwa V. Griffiths, Michael Hughes
article en
8 citations

Abstract

Measurement of cellular resting membrane potential (RMP) is important in understanding ion channels and their role in regulation of cell function across a wide range of cell types. However, methods available for the measurement of RMP (including patch clamp, microelectrodes, and potential-sensitive fluorophores) are expensive, slow, open to operator bias, and often result in cell destruction. We present non-contact, label-free membrane potential estimation which uses dielectrophoresis to determine the cytoplasm conductivity slope as a function of medium conductivity. By comparing this to patch clamp data available in the literature, we have demonstratet the accuracy of this approach using seven different cell types, including primary suspension cells (red blood cells, platelets), cultured suspension cells (THP-1), primary adherent cells (chondrocytes, human umbilical mesenchymal stem cells), and adherent (HeLa) and suspension (Jurkat) cancer cell lines. Analysis of the effect of ion channel inhibitors suggests the effects of pharmaceutical agents (TEA on HeLa; DMSO and neuraminidase on red blood cells) can also be measured. Comparison with published values of membrane potential suggest that the differences between our estimates and values recorded by patch clamp are accurate to within published margins of error. The method is low-cost, non-destructive, operator-independent and label-free, and has previously been shown to allow cells to be recovered after measurement.

Scientific ReportsVol. 14(1)
Khalifa University of Science and Technology (AE), United Arab Emirates University (AE), University of Surrey (GB)
Khalifa University of Science, Technology and Research
Openalex Percentile: Top 19%
Microfluidic and Bio-sensing Technologies
1.48
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