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Introduction: Toxicoproteomics is an emerging area of omics, intended to explore the changes in protein expression and modifications in biological samples exposed to toxicants. The development of techniques that utilize sophisticated instruments in proteomics has facilitated the exploration of a wide-range of protein coverage and assisted the quantitative and qualitative evaluation of protein changes as a result of the toxic effects of toxic substances.

Areas covered: Studies on toxicoproteomics have an immense potential to explore the molecular mechanism of action of a variety of toxic substances through deciphering the proteomic map altered as a result of toxicant exposure. Here, we provide an overview of toxicoproteomic approaches and the current paradigm of toxicoproteomics.

Expert commentary: Research in this area continues to increase our understanding of the role of toxicants in worsening human health and toxicity driven diseases. The progress in toxicoproteomics may realize the development of novel biomarkers, drug targets and personalized medicines by incorporating the advanced proteomic applications in this field.  相似文献   

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The potential of quantitative proteomic analysis to predict carcinogenicity of chemical compounds was investigated. Using 2D-DIGE, we analyzed the effects of 63 chemical compounds on protein expression in the rat liver after 28 daily doses. Types of carcinogens were categorized depending on the species and organ specificity. The carcinogen characteristic proteins for each classification were identified by Welch's t value. For evaluation of the predictive concordance we used support vector machines. The rat hepatic carcinogen-specific classification gave higher concordance than the other classification. The generalization performance was measured by leave-one-out cross-validation. For genotoxic and non-genotoxic compounds, a concordance of 79.3 and 76.5%, respectively, was obtained by the top 30 ranked proteins with Welch's t value. Furthermore, we found that the increase of the expression level of the stress response proteins as the common feature of poorly predicted chemical compounds in the leave-20%-out cross-validation. Quantitative proteomics could be promising technique for developing biomarker panels that can be used for carcinogenicity prediction. The list of proteins identified in this study and the zoomed gel images of the top ranked proteins in statistic analysis are provided in Supplementary Data.  相似文献   
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Human cell line secretome represents a valuable source of therapeutic targets and candidate biomarkers. Secreted proteins found in biological fluids or culture media are by essence highly diluted. Secretome investigation with proteomic approaches is hardly compatible with the high content of proteins found in complete cell culture media. Therefore, many studies are currently done with media containing few or no protein. Such conditions may perturb cell metabolism and proliferation. Here, we compared seventeen different compositions of culture media for the human bronchial epithelial BEAS-2B cell line. Cell viability, proliferation rate and initial protein charge were systematically compared. We have shown that an important difficulty for the proteomic analysis is due to the presence of detergents such as Pluronic F-68 which hinders peptide mass spectrometry. The high glucose containing DMEM medium which is free of proteins was shown to preserve a good viability and proliferation of cells. With this conditioning medium, we identified 81 extracellular proteins in the secretome of BEAS-2B cells. Moreover, to illustrate this approach, we exposed BEAS-2B cells to a low toxic dose of CoCl2, and found 24 extracellular proteins modulated by cobalt. This study highlights the possible contribution of such proteomic approach in the field of toxicology.  相似文献   
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Our current approach focused on the identification of potential early protein biomarker signatures which are indicative of the carcinogenic processes in rats exposed to 20 mg/kg of the liver carcinogen N-nitrosomorpholine (NNM). Treated liver was investigated at different timepoints. Therefore, proteins were separated by two-dimensional gel electrophoresis as a first step prior to identification of differentially expressed proteins by mass spectrometry. Proteomic analysis of liver samples after one day of exposure revealed significant upregulation of proteins involved in response to cellular stress induced by NNM (superoxide dismutase, heat shock protein 60, peroxiredoxin). Eighteen weeks after withdrawal of NNM, we were able to identify cancer-related proteins in rat liver bearing malignant, transformed cells (caspase-8 precursor, vimentin, Rho GDP dissociation inhibitor). Some of these proteins were already deregulated after three weeks of exposure indicating their potential usefulness as early predictive biomarkers for liver carcinogenicity (annexin A5, fructose-1,6-bisphosphatase). As regulatory toxicology approaches usually include the investigation of carcinogenicity in two-years studies in rodents, especially the detection of early protein biomarker signatures which precede the appearance of neoplasia, demonstrates the high potential of proteomics approaches to substantially reduce the time and costs of carcinogenicity testing.  相似文献   
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The immune system is permanently exposed to several environmental influences that can have adverse effects on immune cells or organs leading to immunosuppression or inappropriate immunostimulation, called direct immunotoxicity. The natural compound Tulipalin A (TUPA), a lactone with α‐methylene‐γ‐butyrolactone moiety, can influence the immune system and lead to allergic contact dermatitis. This in vitro study focused on effects of TUPA using two immune cell lines (Jurkat T cells and THP‐1 monocytes). To evaluate the immunotoxic potential of the compound, a proteomic approach applying 2D gel electrophoresis and MALDI‐TOF/TOF‐MS in combination with metabolomic analysis was used after exposure of the cells to IC10 of TUPA. THP‐1 cells showed a strong robustness to TUPA treatment since only five proteins were altered. In contrast, in Jurkat T cells an increase in the abundance of 66 proteins and a decrease of six proteins was determined. These intracellular proteins were mapped to biological processes. Especially an accumulation of chaperones and an influence on the purine synthesis were observed. The changes in purine synthesis were confirmed by metabolomic analysis. In conclusion, the data indicate possible target processes of low doses of TUPA in Jurkat T cells and provides knowledge of how TUPA affects the functionality of immune cells.  相似文献   
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