鱼肌肉蛋白质组学分级过程的重现性研究

Reproducibility of a Fractionation Procedure for Fish Muscle Proteomics

在比较蛋白质组学中,分级过程经常被用于去除高丰度蛋白质,从而提高低丰度蛋白质的浓度至检出限以上。作者为了证实在二维凝胶电泳分离流程中增加额外的分级过程将会减小对金头鲷宰前应激响应时间依赖检测中所引入的噪声和批次间的偏差,采用多维标度对结果数据进行了多参数分析。结果表明生物响应比分级引入的误差高出几个数量级,而批次间误差不小于不同IEF/SDS-PAGE运行所引入的偏差。

Fractionation procedures are often used in comparative proteomics for the depletion of highly abundant proteins, raising the concentration of low-abundance proteins above the detection threshold. The authors aimed to verify if the noise and interbatch bias introduced by an additional fractionation step in a 2DE work flow hampered the detection of the time-dependent response of gilthead seabream to preslaughter stress. Multivariate analysis of the resulting data sets by multidimensional scaling indicates that the biological responses have a greater magnitude than the noise introduced by the fractionation and that interbatch bias is no larger than the bias of performing different IEF/SDS-PAGE runs.