Mi J, Apraiz I, Cristobal S
Department of Cell and Molecular Biology, Biomedical Center, Uppsala University, Uppsala, Sweden.
Biomarkers. 2007 Jan-Feb;12(1):47-60. doi: 10.1080/13547500600943528.
Peroxisomal proteomic protein profiles of exposure to marine pollution have been recently introduced in biomonitoring experiments. However, laboratory experiments to study the independent effect of common pollutants are needed to define a minimal protein expression signature (PES) of exposure to a specific pollutant. The aim of this study was to obtain PESs in blue mussels (Mytilus edulis) exposed to two different crude oil mixtures for future application in biomonitoring areas affected by oil spills. In the study, peroxisome-enriched fractions from digestive gland of M. edulis (L., 1758) were analysed by two-dimensional fluorescence difference electrophoresis (DIGE) and mass spectrometry (MS) after 3 weeks of exposure to crude oil mixtures: crude oil or crude oil spiked with alkylated phenols (AP) and extra polycyclic aromatic hydrocarbons (PAH) in a laboratory flow-through system. A minimal PES composed by 13 protein spots and unique PESs of exposure to the two different mixtures were identified. A total of 22 spots from the two-dimensional maps that had shown a significant increase or decrease in abundance in each of the exposed groups exposed were analysed. The hierarchical clustering analysis succeeded in discriminating the exposed groups from the control groups based on the unique PES. The PESs obtained were consistent with protein patterns obtained in previous field experiments. The results suggest that the protein profiles obtained by peroxisomal proteomics could be used to assess oil exposure in marine pollution assessments.
近期，海洋污染暴露的过氧化物酶体蛋白质组学蛋白质谱已被引入生物监测实验。然而，需要开展实验室实验来研究常见污染物的独立效应，以确定特定污染物暴露的最小蛋白质表达特征（PES）。本研究的目的是在暴露于两种不同原油混合物的蓝贻贝（紫贻贝）中获得PES，以便未来应用于受溢油影响的生物监测区域。在该研究中，将紫贻贝（L.，1758）消化腺中富含过氧化物酶体的部分在实验室流通系统中暴露于原油混合物（原油或添加了烷基化酚（AP）和额外多环芳烃（PAH）的原油）3周后，通过二维荧光差异电泳（DIGE）和质谱（MS）进行分析。确定了由13个蛋白质斑点组成的最小PES以及暴露于两种不同混合物的独特PES。对二维图谱中在每个暴露组中丰度显著增加或降低的总共22个斑点进行了分析。层次聚类分析成功地基于独特的PES将暴露组与对照组区分开来。获得的PES与先前现场实验中获得的蛋白质模式一致。结果表明，通过过氧化物酶体蛋白质组学获得的蛋白质谱可用于海洋污染评估中的油类暴露评估。
