Singapore Eye Research Institute, Singapore.
J Proteomics. 2012 Jul 16;75(13):3877-85. doi: 10.1016/j.jprot.2012.04.053. Epub 2012 May 23.
The tears, a critical body fluid of the surface of the eye, contain an unknown number of molecules including proteins/peptides, lipids, small molecule metabolites, and electrolytes. There have been continued efforts for exploring the human tear proteome to develop biomarkers of disease. In this study, we used the high speed TripleTOF 5600 system as the platform to analyze the human tear proteome from healthy subjects (3 females and 1 male, average age: 36±14). We have identified 1543 proteins in the tears with less than 1% false discovery rate, which represents the largest number of human tear proteins reported to date. The data set was analyzed for gene ontology (GO) and compared with the human plasma proteome, NEIBank lacrimal gland gene dataset and NEIBank cornea gene dataset. This comprehensive tear protein list may serve as a reference list of human tear proteome for biomarker research of ocular diseases or establishment of MRM (Multiple Reaction Monitoring) assays for targeted analysis. Tear fluid is a useful and an accessible source not only for evaluating ocular surface tissues (cornea and conjunctiva), inflammation, lacrimal gland function and a number of disease conditions, such as dry eye as well as response to treatment.
眼泪是眼表的一种重要的体液,其中包含数量未知的分子,包括蛋白质/肽、脂质、小分子代谢物和电解质。人们一直在努力探索人类的泪液蛋白质组,以开发疾病的生物标志物。在这项研究中,我们使用高速 TripleTOF 5600 系统作为平台,分析了来自健康受试者(3 名女性和 1 名男性,平均年龄:36±14 岁)的人类泪液蛋白质组。我们在眼泪中鉴定出 1543 种蛋白质,假阳性率低于 1%,这代表了迄今为止报告的人类泪液蛋白质数量最多的一次。该数据集进行了基因本体 (GO) 分析,并与人类血浆蛋白质组、NEIBank 泪腺基因数据集和 NEIBank 角膜基因数据集进行了比较。这个全面的泪液蛋白质列表可以作为人类泪液蛋白质组的参考列表,用于眼部疾病的生物标志物研究或建立用于靶向分析的 MRM(多重反应监测)测定。泪液不仅是评估眼表组织(角膜和结膜)、炎症、泪腺功能以及干眼症等多种疾病状况及其治疗反应的有用且可及的来源。