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タイトル: Neuronal subclass-selective proteomic analysis in Caenorhabditis elegans
著者: Aburaya, Shunsuke
Yamauchi, Yuji
Hashimoto, Takashi
Minakuchi, Hiroyoshi
Aoki, Wataru  KAKEN_id  orcid https://orcid.org/0000-0002-3118-9390 (unconfirmed)
Ueda, Mitsuyoshi  kyouindb  KAKEN_id
著者名の別形: 油屋, 駿介
山内, 悠至
橋本, 崇志
水口, 博義
青木, 航
植田, 充美
キーワード: Molecular neuroscience
Proteomics
発行日: 13-Aug-2020
出版者: Springer Nature
誌名: Scientific Reports
巻: 10
論文番号: 13840
抄録: Neurons are categorised into many subclasses, and each subclass displays different morphology, expression patterns, connectivity and function. Changes in protein synthesis are critical for neuronal function. Therefore, analysing protein expression patterns in individual neuronal subclass will elucidate molecular mechanisms for memory and other functions. In this study, we used neuronal subclass-selective proteomic analysis with cell-selective bio-orthogonal non-canonical amino acid tagging. We selected Caenorhabditis elegans as a model organism because it shows diverse neuronal functions and simple neural circuitry. We performed proteomic analysis of all neurons or AFD subclass neurons that regulate thermotaxis in C. elegans. Mutant phenylalanyl tRNA synthetase (MuPheRS) was selectively expressed in all neurons or AFD subclass neurons, and azido-phenylalanine was incorporated into proteins in cells of interest. Azide-labelled proteins were enriched and proteomic analysis was performed. We identified 4, 412 and 1, 834 proteins from strains producing MuPheRS in all neurons and AFD subclass neurons, respectively. F23B2.10 (RING-type domain-containing protein) was identified only in neuronal cell-enriched proteomic analysis. We expressed GFP under the control of the 5′ regulatory region of F23B2.10 and found GFP expression in neurons. We expect that more single-neuron specific proteomic data will clarify how protein composition and abundance affect characteristics of neuronal subclasses.
記述: 単⼀神経細胞クラスのプロテオミクス解析を実現 --線⾍の神経細胞のプロテオームマップ構築に向けて--. 京都大学プレスリリース. 2020-08-17.
著作権等: © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
URI: http://hdl.handle.net/2433/253737
DOI(出版社版): 10.1038/s41598-020-70692-w
PubMed ID: 32792517
関連リンク: https://www.kyoto-u.ac.jp/ja/research-news/2020-08-17
出現コレクション:学術雑誌掲載論文等

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