Division of Biotechnology, Foundation for Biomedical Research of the Academy of Athens, Greece.
Proteomics. 2012 Feb;12(3):391-400. doi: 10.1002/pmic.201100212. Epub 2012 Jan 18.
Urine is a biological fluid that is non-invasively and easily harvested, and exhibits high stability from the proteomics point of view. At the downside, the overall low protein content of urine as well as the presence of low- and high-abundance proteins underscores the need for protein enrichment. As a continuation of previous efforts towards the comprehensive characterization of the urine proteome, the current study targeted the mining of urine proteins through the combined application of different protein separation methodologies, specifically, liquid chromatography and preparative electrophoresis along with 1D gel electrophoresis and protein identification by mass spectrometry. In order to enhance comparison and integration of different experimental data sets, the "standard" urine sample developed within the European Kidney and Urine Proteomics (EuroKUP) COST Action, was employed. As a contribution to the existing knowledge, we focused on maintaining and providing information about experimental mass of the identified proteins as well as information pertaining to their relative abundance--as allowed by technical limitations--thus providing an initial view of different isoforms representation and facilitating their future characterization. The difficulties in comparing proteome mining data sets become once more evident, underscoring the need for adopting standardized ways for data reporting as well as for potential new approaches for data analysis involving a thorough investigation of received information at the peptide level.
尿液是一种生物流体,具有非侵入性和易于采集的特点,从蛋白质组学的角度来看,其具有很高的稳定性。但从另一方面来说,尿液中总的蛋白质含量较低,且存在低丰度和高丰度蛋白质,这突出了蛋白质富集的必要性。作为对尿蛋白质组全面描述的先前研究的延续,本研究通过联合应用不同的蛋白质分离方法,特别是液相色谱和制备电泳以及 1D 凝胶电泳和质谱法进行蛋白质鉴定,来挖掘尿蛋白质。为了增强不同实验数据集的比较和整合,使用了在欧洲肾脏和尿液蛋白质组学(EuroKUP)COST 行动中开发的“标准”尿液样本。作为对现有知识的贡献,我们专注于保留和提供鉴定蛋白的实验质量以及它们的相对丰度的信息(受技术限制),从而提供不同同工型表达的初步视图,并促进它们的进一步特征描述。在比较蛋白质组挖掘数据集时遇到的困难再次变得明显,突出了需要采用标准化的数据报告方式以及可能的新数据分析方法,包括在肽水平上对所接收信息进行彻底调查。