Proteome alterations in gamma-irradiated human T-lymphocyte leukemia cells
Language English Country United States Media print
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
15733044
DOI
10.1667/rr3309
PII: RR3309
Knihovny.cz E-resources
- MeSH
- Electrophoresis, Gel, Two-Dimensional MeSH
- Silver Staining MeSH
- Time Factors MeSH
- Down-Regulation MeSH
- Mass Spectrometry MeSH
- Immunoblotting MeSH
- Leukemia, T-Cell metabolism MeSH
- Humans MeSH
- Cell Line, Tumor MeSH
- Image Processing, Computer-Assisted MeSH
- DNA Damage MeSH
- Proteome radiation effects MeSH
- Signal Transduction MeSH
- T-Lymphocytes metabolism MeSH
- Up-Regulation MeSH
- Gamma Rays * MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Names of Substances
- Proteome MeSH
Analyses of the protein expression profiles of irradiated cells may be beneficial for identification of new biomolecules of radiation-induced cell damage. Therefore, in this study we exploited the proteomic approach to identify proteins whose expression is significantly altered in gamma-irradiated human T-lymphocyte leukemia cells. MOLT-4 cells were irradiated with 7.5 Gy and the cell lysates were collected at different times after irradiation (2, 5 and 12 h). The proteins were separated by two-dimensional electrophoresis and quantified using an image evaluation system. Proteins exhibiting significant radiation-induced alterations in abundance were identified by peptide mass fingerprinting. We identified 14 proteins that were either up- or down-regulated. Cellular levels of four of the proteins (Rho GDP dissociation inhibitor 1 and 2, Ran binding protein 1, serine/threonine protein kinase PAK2) were further analyzed by two-dimensional immunoblotting to confirm the data obtained from proteome analysis. All identified proteins were classified according to their cellular function, including their participation in biochemical and signaling pathways. Taken together, our results suggest the feasibility of the proteome method for monitoring of cellular radiation responses.
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