Papers

Peer-reviewed
Jan, 2010

A Proteomic Approach for Comprehensively Screening Substrates of Protein Kinases Such as Rho-Kinase

PLOS ONE
  • Mutsuki Amano
  • Yuta Tsumura
  • Kentaro Taki
  • Hidenori Harada
  • Kazutaka Mori
  • Tomoki Nishioka
  • Katsuhiro Kato
  • Takeshi Suzuki
  • Yosuke Nishioka
  • Akihiro Iwamatsu
  • Kozo Kaibuchi
  • Display all

Volume
5
Number
1
First page
e8704
Last page
Language
English
Publishing type
Research paper (scientific journal)
DOI
10.1371/journal.pone.0008704
Publisher
PUBLIC LIBRARY SCIENCE

Background: Protein kinases are major components of signal transduction pathways in multiple cellular processes. Kinases directly interact with and phosphorylate downstream substrates, thus modulating their functions. Despite the importance of identifying substrates in order to more fully understand the signaling network of respective kinases, efficient methods to search for substrates remain poorly explored.
Methodology/Principal Findings: We combined mass spectrometry and affinity column chromatography of the catalytic domain of protein kinases to screen potential substrates. Using the active catalytic fragment of Rho-kinase/ROCK/ROK as the model bait, we obtained about 300 interacting proteins from the rat brain cytosol fraction, which included the proteins previously reported as Rho-kinase substrates. Several novel interacting proteins, including doublecortin, were phosphorylated by Rho-kinase both in vitro and in vivo.
Conclusions/Significance: This method would enable identification of novel specific substrates for kinases such as Rho-kinase with high sensitivity.

Link information
DOI
https://doi.org/10.1371/journal.pone.0008704
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/20090853
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000273714600007&DestApp=WOS_CPL
ID information
  • DOI : 10.1371/journal.pone.0008704
  • ISSN : 1932-6203
  • Pubmed ID : 20090853
  • Web of Science ID : WOS:000273714600007

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