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Title: Large-scale Discovery of Substrates of the Human Kinome
Authors: Sugiyama, Naoyuki  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-7633-8495 (unconfirmed)
Imamura, Haruna
Ishihama, Yasushi  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0001-7714-203X (unconfirmed)
Author's alias: 杉山, 直幸
今村, 春菜
石濱, 泰
Keywords: Proteomic analysis
Proteomics
Issue Date: 19-Jul-2019
Publisher: Springer Nature
Journal title: Scientific Reports
Volume: 9
Thesis number: 10503
Abstract: Kinase networks are important for cellular signal transduction. Despite tremendous efforts to uncover these signaling pathways, huge numbers of uncharacterized phosphosites still remain in the human proteome. Because of the transient nature of kinase-substrate interactions in vivo, it is almost impossible to identify direct substrates. Here, we present a strategy for the rapid, accurate and high-throughput discovery of in vitro kinase substrates using quantitative proteomics. Using 385 purified kinases (354 wild-type protein kinases, 21 mutants and 10 lipid kinases), we identified a total of 175, 574 potential direct kinase substrates. In addition, we identified novel kinase groups, such as one group containing 30 threonine-directed kinases and another containing 15 serine/threonine/tyrosine kinases. Surprisingly, we observed that the diversity of substrates for tyrosine kinases was much higher than that for serine-threonine kinases.
Description: ヒトのタンパク質キナーゼ基質の大規模同定に成功 --細胞内情報伝達の全貌の解明に向けて--. 京都大学プレスリリース. 2019-07-19.
Rights: © The Author(s) 2019. 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/2433/244139
DOI(Published Version): 10.1038/s41598-019-46385-4
PubMed ID: 31324866
Related Link: http://www.kyoto-u.ac.jp/ja/research/research_results/2019/190719_2.html
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