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Updated: Jul 31, 2026

In Vitro and In Vivo Detection of Mitophagy in Human Cells, C. Elegans, and Mice
Published on: November 22, 2017
Methods for Monitoring Mitophagy Using mt-Keima
Alexandra J Gilsrud1, Derek P Narendra2
1Inherited Movement Disorders Unit, Neurogenetics Branch, National Institute of Neurological Disorders and Stroke, Division of Intramural Research, National Institutes of Health, Bethesda, MD, USA.
Mitochondria-targeted Keima (mt-Keima) is a novel tool for measuring mitophagy. This pH-sensitive fluorescent protein allows for ratiometric quantification of mitophagy in live cells using flow cytometry and microscopy.
Area of Science:
- Cell Biology
- Mitochondrial Research
- Autophagy
Background:
- Mitophagy, the selective degradation of damaged mitochondria, is crucial for cellular health.
- Accurate quantification of mitophagy is essential for understanding its role in various physiological and pathological processes.
- Existing methods for mitophagy assessment can be limited in scope or applicability to live-cell imaging.
Purpose of the Study:
- To describe detailed procedures for quantifying mitophagy using mitochondria-targeted Keima (mt-Keima).
- To enable ratiometric measurement of mitophagy in live cells.
- To provide protocols for both flow cytometry and live-cell confocal microscopy applications.
Main Methods:
- Utilizing mt-Keima, a pH-sensitive and acid-stable fluorescent protein with bimodal excitation.
- Calculating a ratiometric signal based on excitation peaks at 440 nm (neutral) and 586 nm (acidic).
- Applying flow cytometry and live-cell confocal microscopy for mitophagy quantification.
Main Results:
- Established protocols for measuring mitophagy using mt-Keima.
- Demonstrated the feasibility of ratiometric signal calculation for mitophagy assessment.
- Enabled mitophagy quantification in live cells via advanced imaging techniques.
Conclusions:
- mt-Keima serves as a reliable fluorescent probe for quantifying mitophagy.
- The described methods facilitate robust mitophagy measurements in live cellular models.
- This approach enhances the study of mitochondrial dynamics and cellular quality control mechanisms.
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