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Title: Organelle membrane-specific chemical labeling and dynamic imaging in living cells
Authors: Tamura, Tomonori  kyouindb  KAKEN_id
Fujisawa, Alma
Tsuchiya, Masaki  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-8191-3183 (unconfirmed)
Shen, Yuying
Nagao, Kohjiro
Kawano, Shin
Tamura, Yasushi
Endo, Toshiya
Umeda, Masato
Hamachi, Itaru
Author's alias: 田村, 朋則
藤沢, 有磨
土谷, 正樹
沈, 佑穎
長尾, 耕治郎
河野, 慎
田村, 康
遠藤, 斗志也
梅田, 真郷
濵地, 格
Keywords: Chemical tools
Imaging
Membrane trafficking
Phospholipids
Issue Date: Dec-2020
Publisher: Springer Nature
Journal title: Nature Chemical Biology
Volume: 16
Issue: 12
Start page: 1361
End page: 1367
Abstract: Lipids play crucial roles as structural elements, signaling molecules and material transporters in cells. However, the functions and dynamics of lipids within cells remain unclear because of a lack of methods to selectively label lipids in specific organelles and trace their movement by live-cell imaging. We describe here a technology for the selective labeling and fluorescence imaging (microscopic or nanoscopic) of phosphatidylcholine in target organelles. This approach involves the metabolic incorporation of azido-choline, followed by a spatially limited bioorthogonal reaction that enables the visualization and quantitative analysis of interorganelle lipid transport in live cells. More importantly, with live-cell imaging, we obtained direct evidence that the autophagosomal membrane originates from the endoplasmic reticulum. This method is simple and robust and is thus powerful for real-time tracing of interorganelle lipid trafficking.
Description: 狙った細胞内小器官脂質の可視化に成功 --オートファゴソーム形成機構解明に貢献--. 京都大学プレスリリース. 2020-09-28.
Rights: This is the accepted manuscript of the article, which has been published in final form at https://doi.org/10.1038/s41589-020-00651-z.
The full-text file will be made open to the public on 21 March 2021 in accordance with publisher's 'Terms and Conditions for Self-Archiving'.
この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。
This is not the published version. Please cite only the published version.
URI: http://hdl.handle.net/2433/259230
DOI(Published Version): 10.1038/s41589-020-00651-z
PubMed ID: 32958953
Related Link: https://www.kyoto-u.ac.jp/ja/research-news/2020-09-28
Appears in Collections:Journal Articles

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