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Detection of Protein Aggregation using Fluorescence Correlation Spectroscopy

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/82099

Title: Detection of Protein Aggregation using Fluorescence Correlation Spectroscopy
Authors: Kitamura, Akira Browse this author →KAKEN DB
Fujimoto, Ai Browse this author
Kinjo, Masataka Browse this author
Issue Date: Apr-2021
Publisher: Journal of visualized experiments
Journal Title: JoVE-journal of visualized experiments
Issue: 170
Start Page: e62576
Publisher DOI: 10.3791/62576
Abstract: Protein aggregation is a hallmark of neurodegenerative disorders such as amyotrophic lateral sclerosis (ALS), Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), and so on. To detect and analyze soluble or diffuse protein oligomers or aggregates, fluorescence correlation spectroscopy (FCS), which can detect the diffusion speed and brightness of a single particle with a single molecule sensitivity, has been used. However, the proper procedure and know-how for protein aggregation detection have not been widely shared. Here, we show a standard procedure of FCS measurement for diffusion properties of aggregation-prone proteins in cell lysate and live cells: ALS-associated 25 kDa carboxyl-terminal fragment of TAR DNA/RNA-binding protein 43 kDa (TDP25) and superoxide dismutase 1 (SOD1). The representative results show that a part of aggregates of green fluorescent protein (GFP)-tagged TDP25 was slightly included in the soluble fraction of murine neuroblastoma Neuro2a cell lysate. Moreover, GFP-tagged SOD1 carrying ALS-associated mutation shows a slower diffusion in live cells. Accordingly, we here introduce the procedure to detect the protein aggregation via its diffusion property using FCS.
Type: article
URI: http://hdl.handle.net/2115/82099
Appears in Collections:生命科学院・先端生命科学研究院 (Graduate School of Life Science / Faculty of Advanced Life Science) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 北村 朗

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