MISC

2009年2月

Protein microarray analysis identifies human cellular prion protein interactors

NEUROPATHOLOGY AND APPLIED NEUROBIOLOGY
  • J. Satoh
  • ,
  • S. Obayashi
  • ,
  • T. Misawa
  • ,
  • K. Sumiyoshi
  • ,
  • K. Oosumi
  • ,
  • H. Tabunoki

35
1
開始ページ
16
終了ページ
35
記述言語
英語
掲載種別
DOI
10.1111/j.1365-2990.2008.00947.x
出版者・発行元
WILEY-BLACKWELL PUBLISHING, INC

Aims: To obtain an insight into the function of cellular prion protein (PrPC), we studied PrPC-interacting proteins (PrPIPs) by analysing a protein microarray. Methods: We identified 47 novel PrPIPs by probing an array of 5000 human proteins with recombinant human PrPC spanning amino acid residues 23-231 named PR209. Results: The great majority of 47 PrPIPs were annotated as proteins involved in the recognition of nucleic acids. Coimmunoprecipitation and cell imaging in a transient expression system validated the interaction of PR209 with neuronal PrPIPs, such as FAM64A, HOXA1, PLK3 and MPG. However, the interaction did not generate proteinase K-resistant proteins. KeyMolnet, a bioinformatics tool for analysing molecular interaction on the curated knowledge database, revealed that the complex molecular network of PrPC and PrPIPs has a significant relationship with AKT, JNK and MAPK signalling pathways. Conclusions: Protein microarray is a useful tool for systematic screening and comprehensive profiling of the human PrPC interactome. Because the network of PrPC and interactors involves signalling pathways essential for regulation of cell survival, differentiation, proliferation and apoptosis, these observations suggest a logical hypothesis that dysregulation of the PrPC interactome might induce extensive neurodegeneration in prion diseases.

リンク情報
DOI
https://doi.org/10.1111/j.1365-2990.2008.00947.x
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000262679800002&DestApp=WOS_CPL
ID情報
  • DOI : 10.1111/j.1365-2990.2008.00947.x
  • ISSN : 0305-1846
  • Web of Science ID : WOS:000262679800002

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