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Advanced Techniques for Detecting Protein Misfolding and Aggregation in Cellular Environments

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CHEMICAL REVIEWS
卷 123, 期 21, 页码 12254-12311

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AMER CHEMICAL SOC
DOI: 10.1021/acs.chemrev.3c00494

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Protein misfolding and aggregation is a key factor in neurodegenerative diseases. Studying this process in living cells using biomedical imaging provides valuable information surpassing in vitro methods. This review discusses various methodologies, including optical-based, mass spectrometry, nuclear magnetic resonance, and cryo-electron microscopy, to examine protein misfolding in biological systems. Recent advancements in these techniques have deepened our understanding of protein misfolding and its features in living cells.
Protein misfolding and aggregation, a key contributor to the progression of numerous neurodegenerative diseases, results in functional deficiencies and the creation of harmful intermediates. Detailed visualization of this misfolding process is of paramount importance for improving our understanding of disease mechanisms and for the development of potential therapeutic strategies. While in vitro studies using purified proteins have been instrumental in delivering significant insights into protein misfolding, the behavior of these proteins in the complex milieu of living cells often diverges significantly from such simplified environments. Biomedical imaging performed in cell provides cellular-level information with high physiological and pathological relevance, often surpassing the depth of information attainable through in vitro methods. This review highlights a variety of methodologies used to scrutinize protein misfolding within biological systems. This includes optical-based methods, strategies leaning on mass spectrometry, in-cell nuclear magnetic resonance, and cryo-electron microscopy. Recent advancements in these techniques have notably deepened our understanding of protein misfolding processes and the features of the resulting misfolded species within living cells. The progression in these fields promises to catalyze further breakthroughs in our comprehension of neurodegenerative disease mechanisms and potential therapeutic interventions.

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