Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous environmental pollutants of air, water and soil, and are produced by the incomplete combustion of organic materials. The International Agency for Research on Cancer has characterized PAHs as carcinogens. In this study, we investigated the effects of benzo(a)pyrene (B(a)P), which is the most carcinogenic member of the PAHs, on Jurkat cell protein by proteomic analysis. Jurkat cells were treated with various concentrations of B(a)P (0, 2.5, 5, 10, 20 or 40 microM) for 24 or 48 h and 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium and lactate dehydrogenase assays were carried out to determine cytotoxicity and a Comet assay was used to determinate genotoxicity. The cytotoxicity assays showed that 2.5 microM of B(a)P was the maximal concentration that did not cause any toxicity, but nevertheless, at this level B(a)P produced significant DNA damage in Jurkat cells at 48 h. Proteomic analysis using three different pI ranges and large two-dimensional gel electrophoresis showed 3427 protein spots. A total of 46 (13 up- and 33 down-regulated) proteins were identified as biomarkers of B(a)P and showed dose-dependent expressions in Jurkat T-cell line exposed to B(a)P. Of these, 27 protein spots were identified by matrix-assisted laser desorption/ionization-time of flight mass spectrometry. Two functionally differentiated protein groups were found. The protein group involving apoptosis and tumor suppression were found to be up-regulated, and B(a)P down-regulated enzyme was involved in energy metabolism, DNA synthesis and in cell structure and motility.
Formaldehyde (FA) is known as a low molecule weight organic compound and one of major components that causes sick building syndrome (SBS), and it has been reported that FA has cytotoxic, hemotoxic, immunotoxic, and genotoxic properties. The International Agency for Research on Cancer (IARC) has characterized FA as a carcinogen. In this study, we investigated the effects of FA on rat plasma proteins by using proteomic approach. Rats were exposed to three different concentrations of FA (0, 5, 10 ppm) for 2 weeks at 6 hours/day and 5 days/week in an inhalation chamber. Malondialdehyde (MDA) assay and carbonyl spectrometric assay were conducted to determine lipid peroxidation and protein oxidation levels and Comet assays were used for genotoxicity evaluation. Level of MDA, carbonyl insertion and DNA damage in plasma, livers, and in the lymphocytes of rats exposed to FA were found to be dose dependently increased. Proteomic analysis using three different pI ranges (3.5-5.6, 5.3-6.9, 6-9) and large size two-dimensional gel electrophoresis (2-DE) showed the presence of 3491 protein spots. A total of 32 (19 up- and 13 down-regulated) proteins were identified as biomarkers of FA, all showed dose dependent expressions in the plasma of rats exposed to FA and of these, 27 protein spots were identified by MALDI-TOF/MS. Several differentiated protein groups were found. Proteins involved in apoptosis, transportation, signaling, energy metabolism, and cell structure and motility were found to be up- or down-regulated. Among these, the identities of SNAP 23, apolipoprotein A-1 and E, clusterin, kinesin, and fibrinogen gamma were confirmed by Western blot assay, and apo E was further analyzed by using 2-DE immunoblot assays to determine isoform patterns. Two cytokine including IL4 and INF-gamma were measured in plasma with respect to fibrinogen gamma changes. In summary, cytotoxicity, and genotoxicity assays, namely MDA lipid peroxidation assay, the carbonyl protein oxidation assay, and Comet genotoxic assay showed that these effects increased on increasing FA levels. Proteomic analysis with three different pI ranges and long size 2-DE gel electrophoresis showed that 32 protein spots were up-or down-regulated. Of these 32 proteins, 7 proteins were confirmed by western blot assay. They could be potential biomarkers for human diseases associated with FA exposure.
Autoantibodies obtained from cancer patients have been identified as useful tools for cancer diagnostics, prognostics, and as potential targets for immunotherapy. Serological proteome analysis in combination with 2-DE is a classic strategy for identification of tumor-associated antigens in the serum of cancer patients. However, serological proteome analysis cannot always indicate the true antigen out of a complex proteome identified from a single protein spot because the most abundant protein is not always the most antigenic. To address this problem, we utilized multiple parallel separation (MPS) for proteome separation. The common identities present in the fractions obtained using different separation methods were regarded as the true antigens. The merit of our MPS technique was validated using anti-ARPC2 and anti-PTEN antibodies. Next, we applied the MPS technique for the identification of glycyl-tRNA synthetase as the cognate antigen for an autoantibody that was overexpressed in the plasma of breast cancer patients. These results reveal that MPS can unambiguously identify an antibody cognate antigen by reducing false-positives. Therefore, MPS could be used for the characterization of diagnostic antibodies raised in laboratory animals as well as autoantibodies isolated from diseased patients.
This article was originally published in Electrophoresis 2010, 31, 3428–3436, DOI 10.1002/elps.201000136
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.