Literature DB >> 23255428

Differential proteomics identifies PDIA3 as a novel chemoprevention target in human colon cancer cells.

Antoine Ménoret1, David A Drew, Shingo Miyamoto, Masako Nakanishi, Anthony T Vella, Daniel W Rosenberg.   

Abstract

Chemoprevention offers a promising strategy to prevent or delay the development of various cancers. Critical to this approach is the identification of molecular targets that may track with chemopreventive efficacy. To address this issue, we screened a panel of chemoprevention agents, including resveratrol, epigallocatechin-3-gallate, ursodeoxycholic acid, and sulindac sulfide for their effects on human colon cancer cell viability. Resveratrol elicited the most potent effect in HCT116 cells and was selected for further study. Proteomic PF 2D maps were generated from HCT116 cells treated with resveratrol versus vehicle alone. Analysis of proteomic maps using tandem mass spectrometry (MS) identified a panel of differentially modified proteins. Two proteins, actin and Hsp60, were previously shown in other cell culture systems to be affected by resveratrol, validating our approach. PDIA3, RPL19, histone H2B and TCP1β were uniquely identified by our proteomic discovery platform. PDIA3 was of particular interest given its potential role in regulating chemosensitivity of cancer cells. Total levels of PDIA3 in HCT116 cells were unchanged following 24 h of resveratrol treatment, confirmed by Western blot analysis. Immunoprecipitation of PDIA3 revealed a new set of client proteins following resveratrol treatment, including α, β, and δ-catenins, and cellular fractionation identified decreased nuclear localization of α-catenin by resveratrol. These data establish differential proteomic mapping as a powerful tool for identifying novel molecular targets of chemopreventive agents.
© 2012 Wiley Periodicals, Inc.

Entities:  

Keywords:  PDIA3; chemoprevention; colon cancer; proteomics; resveratrol

Mesh:

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Year:  2012        PMID: 23255428     DOI: 10.1002/mc.21986

Source DB:  PubMed          Journal:  Mol Carcinog        ISSN: 0899-1987            Impact factor:   4.784


  7 in total

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Journal:  PLoS One       Date:  2015-07-15       Impact factor: 3.240

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Journal:  PLoS One       Date:  2016-01-15       Impact factor: 3.240

7.  A Novel Three-Gene Model Predicts Prognosis and Therapeutic Sensitivity in Esophageal Squamous Cell Carcinoma.

Authors:  Fa-Min Zeng; Jian-Zhong He; Shao-Hong Wang; De-Kai Liu; Xiu-E Xu; Jian-Yi Wu; En-Min Li; Li-Yan Xu
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  7 in total

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