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Mitochondrial morphology is maintained by the dynamic balance of mitochondrial fusion and fission, and hence, affects energy homeostasis and numerous other cellular functions, leading to various pathologies such as neurodegenerative diseases, cancer, and inflammation1,2,3,4,5. To observe mitochondrial morphology, several mitochondrion-selective stains, including both probes and antibodies, have been developed for use with a confocal microscope. Some mitochondrion-specific probes, like tetramethylrosamine and rhodamine 123, function based on the mitochondrial membrane potential (MMP), which limits their applicability in studies of MMP-disrupting conditions6,7. Conversely, antibody staining provides MMP-independent morphological assessment for examining mitochondrial morphology in fixed cells. Although a suitable stain allows for the assessment of mitochondrial morphology in fixed cells, examining mitochondrial morphology in live cells impaired by some inducers remains challenging. MitoTracker, a cell-permeable cationic and mitochondrion-specific fluorescent probe, offers a solution to this challenge, allowing staining of both live and fixed cells. This probe has been widely utilized to examine mitochondrial morphology in studies of various diseases8,9,10,11. Nevertheless, some studies have reported issues such as high background signal and non-specific binding, even when the probe is utilized in strict accordance with the guidelines provided by the manufacturer. These observations highlight the importance of a thorough understanding of sample preparation and image acquisition for the successful analysis of mitochondrial morphology.
To facilitate analysis of mitochondrial morphology, various image processing programs and algorithms have been developed12,13,14,15,16. In this study, we employed the macro tool Mitochondrial Network Analysis (MiNA) in ImageJ to analyze mitochondrial morphology13. This tool effectively identifies and characterizes morphological features of mitochondrial networks by calculating nine descriptive parameters, including the number of individuals (structures without any branches), number of networks (number of objects with at least one junction pixel), mean length (average length of all rods and branches), median length (median length of all rods and branches), length standard deviation (standard deviation of individual lengths), mean Network Size (the average number of branches per network), median Network Size (the middle value of the number of branches per network), network Size Standard Deviation (standard deviation of the number of branches per network), and the mitochondrial footprint (total signal area after background separation). In this protocol, the mitochondrial footprint was selected as a representative parameter.
The objective of this study is to provide a step-by-step protocol for mitochondrial morphological analysis, focusing on key details. We used MPP+-induced SH-SY5Y cells to demonstrate this protocol. MPP+ inhibits complex I of the mitochondrial respiratory chain in dopaminergic neurons, resulting in damage to mitochondrial morphology and function8,17. The morphological analysis protocol described in this study enables the acquisition of high-resolution images and the assessment of relevant parameters to define morphological features of mitochondrial networks.