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Mitochondrial Membrane Potential Probes and the Proton Gradient: A Practical Usage Guide

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Perry, Seth W., Norman, John P., Barbieri, Justin, Brown, Edward B., Gelbard, Harris A.·2011·BioTechniques

Abstract

Fluorescent probes for monitoring mitochondrial membrane potential are frequently used for assessing mitochondrial function, particularly in the context of cell fate determination in biological and biomedical research. However, valid interpretation of results obtained with such probes requires careful consideration of numerous controls, as well as possible effects of non-protonic charges on dye behavior. In this context, we provide an overview of some of the important technical considerations, controls, and parallel complementary assays that can be employed to help ensure appropriate interpretation of results, thus providing a practical usage guide for monitoring mitochondrial membrane potentials with cationic probes. In total, this review will help illustrate both the strengths and potential pitfalls of common mitochondrial membrane potential dyes, and highlight best-usage approaches for their efficacious application in life sciences research.

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Metadata

Authors
Perry, S. W., Norman, J. P., Barbieri, J., Brown, E. B., & Gelbard, H. A.
Venue
BioTechniques
Published
2011-02
Volume
50
Issue
2
Pages
98-115
ISSN
  • 0736-6205 (ISSN-L)
  • 1940-9818
OpenAlex
W2091296592
Cited by
1,187
References
0
FWCI
13.05
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Mitochondrial Membrane Potential Probes and the Proton Gradient: A Practical Usage Guide. https://app.cochat.ai/papers/10.2144/000113610
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Perry, S. W., Norman, J. P., Barbieri, J., Brown, E. B., & Gelbard, H. A. (2011). Mitochondrial Membrane Potential Probes and the Proton Gradient: A Practical Usage Guide. BioTechniques. https://doi.org/10.2144/000113610

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.