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Molecular & Cellular Proteomics
Article . 2005 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Molecular & Cellular Proteomics
Article
License: CC BY
Data sources: UnpayWall
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Targeted Proteomic Analysis of 14-3-3ς, a p53 Effector Commonly Silenced in Cancer

Authors: Anne, Benzinger; Nemone, Muster; Heike B, Koch; John R, Yates; Heiko, Hermeking;

Targeted Proteomic Analysis of 14-3-3ς, a p53 Effector Commonly Silenced in Cancer

Abstract

To comprehensively identify proteins interacting with 14-3-3 sigma in vivo, tandem affinity purification and the multidimensional protein identification technology were combined to characterize 117 proteins associated with 14-3-3 sigma in human cells. The majority of identified proteins contained one or several phosphorylatable 14-3-3-binding sites indicating a potential direct interaction with 14-3-3 sigma. 25 proteins were not previously assigned to any function and were named SIP2-26 (for 14-3-3 sigma-interacting protein). Among the 92 interactors with known function were a number of proteins previously implicated in oncogenic signaling (APC, A-RAF, B-RAF, and c-RAF) and cell cycle regulation (AJUBA, c-TAK, PTOV-1, and WEE1). The largest functional classes comprised proteins involved in the regulation of cytoskeletal dynamics, polarity, adhesion, mitogenic signaling, and motility. Accordingly ectopic 14-3-3 sigma expression prevented cellular migration in a wounding assay and enhanced mitogen-activated protein kinase signaling. The functional diversity of the identified proteins indicates that induction of 14-3-3 sigma could allow p53 to affect numerous processes in addition to the previously characterized inhibitory effect on G2/M progression. The data suggest that the cancer-specific loss of 14-3-3 sigma expression by epigenetic silencing or p53 mutations contributes to cancer formation by multiple routes.

Keywords

Cell Cycle, Kidney, 14-3-3 Proteins, Neoplasms, Mutation, Humans, Gene Silencing, Tumor Suppressor Protein p53, Cells, Cultured, Cell Proliferation

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
166
Top 10%
Top 10%
Top 1%
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