首页    期刊浏览 2024年12月01日 星期日
登录注册

文章基本信息

  • 标题:Characterization of the proteasome interaction network using a QTAX-based tag-team strategy and protein interaction network analysis
  • 本地全文:下载
  • 作者:Cortnie Guerrero ; Tijana Milenković ; Nataša Pržulj
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:2008
  • 卷号:105
  • 期号:36
  • 页码:13333-13338
  • DOI:10.1073/pnas.0801870105
  • 语种:English
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:Quantitative analysis of tandem-affinity purified cross-linked (x) protein complexes (QTAX) is a powerful technique for the identification of protein interactions, including weak and/or transient components. Here, we apply a QTAX-based tag-team mass spectrometry strategy coupled with protein network analysis to acquire a comprehensive and detailed assessment of the protein interaction network of the yeast 26S proteasome. We have determined that the proteasome network is composed of at least 471 proteins, significantly more than the total number of proteins identified by previous reports using proteasome subunits as baits. Validation of the selected proteasome-interacting proteins by reverse copurification and immunoblotting experiments with and without cross-linking, further demonstrates the power of the QTAX strategy for capturing protein interactions of all natures. In addition, >80% of the identified interactions have been confirmed by existing data using protein network analysis. Moreover, evidence obtained through network analysis links the proteasome to protein complexes associated with diverse cellular functions. This work presents the most complete analysis of the proteasome interaction network to date, providing an inclusive set of physical interaction data consistent with physiological roles for the proteasome that have been suggested primarily through genetic analyses. Moreover, the methodology described here is a general proteomic tool for the comprehensive study of protein interaction networks.
  • 关键词:in vivo cross-linking ; quantitative mass spectrometry
国家哲学社会科学文献中心版权所有