4.7 Article

Identification of Novel 14-3-3ζ Interacting Proteins by Quantitative Immunoprecipitation Combined with Knockdown (QUICK)

期刊

JOURNAL OF PROTEOME RESEARCH
卷 9, 期 11, 页码 5848-5858

出版社

AMER CHEMICAL SOC
DOI: 10.1021/pr100616g

关键词

14-3-3 zeta; Quantitative immunoprecipitation combined with knockdown (QUICK); Multiple myeloma (MM); BCL2-associated athanogene 3 (BAG3); BCL2-associated X protein (BAX)

资金

  1. Chinese Academy of Sciences
  2. National Protein Research Fund [2009CB825100, 2006CB910902]
  3. Ministry of Health of China [2009ZX10004-107, 2008ZX10003-005]
  4. State Key Development Program for Basic Research of China [2010CB529205]
  5. Japan Society for the Promotion of Science

向作者/读者索取更多资源

The family of 14-3-3 proteins has emerged as critical regulators of diverse cellular responses under both physiological and pathological conditions. To gain insight into the molecular action of 14-3-3 zeta in multiple myeloma (MM), we performed a systematic proteomic analysis of 14-3-3 zeta-associated proteins. This analysis, recently developed by Matthias Mann, termed quantitative immunoprecipitation combined with knockdown (QUICK), integrates RNAi, SILAC, immunoprecipitation, and quantitative MS technologies. Quantitative mass spectrometry analysis allowed us to distinguish 14-3-3 zeta-interacting proteins from background proteins, resulting in the identification of 292 proteins in total with 95 novel interactions. Three 14-3-3 zeta-interacting proteins-BAX, HSP70, and BAG3-were further confirmed by reciprocal coimmunoprecipitations and colocalization analysis. Our results therefore not only uncover a large number of novel 14-3-3 zeta-associated proteins that possess a variety of cellular functions, but also provide new research directions for the study of the functions of 14-3-3 zeta. This study also demonstrated that QUICK is a useful approach to detect specific protein protein interactions with very high confidence and may have a wide range of applications in the investigation of protein complex interaction networks.

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