Abstract
Generation of a monomethylated selenium metabolite is critical for the anticancer activity of selenium. Because of its strong nucleophilicity, the metabolite can react directly with protein thiols to cause redox modification. Here, we report a neural network-based analysis to identify potential selenium targets. A reactive thiol specific reagent, BIAM, was used to monitor thiol proteome changes on 2D gel. We constructed a dynamic model and evaluated the relative importance of proteins mediating the cellular responses to selenium. Information from this study will provide new clues to unravel mechanisms of anticancer action of selenium. High impact selenium targets could also serve as biomarkers to gauge the efficacy of selenium chemoprevention.
Original language | English |
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Pages (from-to) | 37-64 |
Number of pages | 28 |
Journal | Preparative Biochemistry and Biotechnology |
Volume | 36 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2006 Feb 1 |
Keywords
- Anticancer action
- Display thiol proteomics
- Dynamic modeling
- Neural-network
- Redox modification
- Selenium
ASJC Scopus subject areas
- Biotechnology
- Biochemistry