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Analyzing autophagosomes and mitophagosomes in the mouse brain using electron microscopy
Kaizheng Duan1, Ronald S Petralia2, Ya-Xian Wang2
1Section on Synapse Development Plasticity, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.
STAR Protocols
|February 16, 2022
Summary
This study details a protocol using electron microscopy (EM) to analyze autophagosomes and mitophagosomes, crucial for brain health. The method allows detailed examination of these cellular structures in mouse brain regions.
Area of Science:
- Neuroscience
- Cell Biology
- Biochemistry
Background:
- Macroautophagy and mitophagy are vital cellular degradation processes impacting brain health.
- Electron microscopy (EM) is the established standard for visualizing these processes at a ultrastructural level.
- Analyzing autophagosomes and mitophagosomes in the brain is critical for understanding neurological disorders.
Purpose of the Study:
- To present a detailed protocol for analyzing autophagosomes and mitophagosomes using EM.
- To provide a standardized method for researchers studying cellular degradation in the mouse brain.
- To facilitate the investigation of macroautophagy and mitophagy in brain health and disease.
Main Methods:
- Protocol development for electron microscopy sample preparation of mouse brain sections.
- Staining techniques optimized for EM imaging of cellular structures.
- Detailed steps for identifying and quantifying autophagosome-like and mitophagosome-like structures via EM.
Main Results:
- A reproducible protocol for EM-based analysis of autophagosomes and mitophagosomes in the mouse amygdala.
- Methodology for distinguishing and analyzing autophagosome-like and mitophagosome-like structures.
- Demonstration of the protocol's adaptability to other mouse brain regions.
Conclusions:
- The presented EM protocol offers a robust method for studying macroautophagy and mitophagy in the brain.
- This protocol can advance research into the role of these cellular processes in neurological conditions.
- The methodology is adaptable, supporting broader applications in neuroscience research.

