Stentiford G D, Viant M R, Ward D G, Johnson P J, Martin A, Wenbin Wei, Cooper H J, Lyons B P, Feist S W
CEFAS Weymouth Laboratory, Weymouth, Dorset, United Kingdom.
OMICS. 2005 Fall;9(3):281-99. doi: 10.1089/omi.2005.9.281.
Fish play host to viral, bacterial, and parasitic diseases in addition to non-infectious conditions such as cancer. The National Marine Monitoring Programme (NMMP) provides information to the U.K. Government on the health status of marine fish stocks. An aspect of this work relates to the presence of tumors and other pathologies in the liver of the offshore sentinel flatfish species, dab (Limanda limanda). Using internationally agreed quality assurance criteria, tumors and pre-tumors are diagnosed using histopathology. The current study has expanded upon this work by integrating these traditional diagnostic approaches with ones utilizing modern technologies for analysis of proteomic and metabolomic profiles of selected lesions. We have applied SELDI and FT-ICR technologies (for proteomic and metabolomic analyses, respectively) to tumor and non-tumor samples resected from the liver of dab. This combined approach has demonstrated how these technologies are able to identify protein and metabolite profiles that are specific to liver tumors. Using histopathology to classify "analysis groups" is key to the success of such an approach since it allows for elimination of spurious samples (e.g., those containing parasite infections) that may confuse interpretation of "omic" data. As such, the pathology laboratory plays a central role in collating information relating to particular specimens and in establishing sampling groups relative to specific diagnostic questions. In this study, we present pilot data, which illustrates that proteomics and metabolomics can be used to discriminate fish liver tumors and suggest future directions for work of this type.
鱼类不仅会患癌症等非传染性疾病,还会感染病毒、细菌和寄生虫疾病。国家海洋监测计划(NMMP)向英国政府提供有关海洋鱼类种群健康状况的信息。这项工作的一个方面涉及近海哨兵比目鱼物种——黄盖鲽(Limanda limanda)肝脏中肿瘤和其他病变的存在情况。使用国际商定的质量保证标准,通过组织病理学诊断肿瘤和癌前病变。当前的研究通过将这些传统诊断方法与利用现代技术分析选定病变的蛋白质组学和代谢组学谱的方法相结合,对这项工作进行了扩展。我们已将表面增强激光解吸电离(SELDI)和傅里叶变换离子回旋共振(FT - ICR)技术(分别用于蛋白质组学和代谢组学分析)应用于从黄盖鲽肝脏切除的肿瘤和非肿瘤样本。这种联合方法已经证明了这些技术如何能够识别肝脏肿瘤特有的蛋白质和代谢物谱。使用组织病理学对“分析组”进行分类是这种方法成功的关键,因为它可以消除可能混淆“组学”数据解释的虚假样本(例如那些含有寄生虫感染的样本)。因此,病理实验室在整理与特定标本相关的信息以及相对于特定诊断问题建立采样组方面发挥着核心作用。在本研究中,我们展示了试点数据,这些数据表明蛋白质组学和代谢组学可用于区分鱼类肝脏肿瘤,并为这类工作提出了未来的方向。