Wang Y Karen, Ma Zhixiang, Quinn Douglas F, Fu Emil W
Central Technologies, Discovery Research, Novartis Pharmaceuticals Corporation, 556 Morris Avenue, Summit, NJ 07901, USA.
Rapid Commun Mass Spectrom. 2002;16(14):1389-97. doi: 10.1002/rcm.725.
The inverse labeling/mass spectrometry strategy has been applied to protein metabolic (15)N labeling for gel-free proteomics to achieve the rapid identification of protein markers/targets. Inverse labeling involves culturing both the perturbed (by disease or by a drug treatment) and control samples each in two separate pools of normal and (15)N-enriched culture media such that four pools are produced as opposed to two in a conventional labeling approach. The inverse labeling is then achieved by combining the normal (14)N-control with the (15)N-perturbed sample, and the (15)N-control with the (14)N-perturbed sample. Both mixtures are then proteolyzed and analyzed by mass spectrometry (coupled with on-line or off-line separation). Inverse labeling overcomes difficulties associated with protein metabolic labeling with regard to isotopic peak correlation and data interpretation in the single-experiment approach (due to the non-predictable/variable mass difference). When two data sets from inverse labeling are compared, proteins of differential expression are readily recognized by a characteristic inverse labeling pattern or apparent qualitative mass shifts between the two inverse labeling analyses. MS/MS fragmentation data provide further confirmation and are subsequently used to search protein databases for protein identification. The methodology has been applied successfully to two model systems in this study. Utilizing the inverse labeling strategy, one can use any mass spectrometer of standard unit resolution, and acquire only the minimum, essential data to achieve the rapid and unambiguous identification of differentially expressed protein markers/targets. The strategy permits quick focus on the signals of differentially expressed proteins. It eliminates the detection ambiguities caused by the dynamic range of detection. Finally, inverse labeling enables the detection of covalent changes of proteins responding to a perturbation that one might fail to distinguish with a conventional labeling experiment.
反向标记/质谱策略已应用于蛋白质代谢(15)N标记,用于无凝胶蛋白质组学,以快速鉴定蛋白质标志物/靶点。反向标记包括将受干扰的样本(通过疾病或药物处理)和对照样本分别培养在正常和(15)N富集培养基的两个单独池中,从而产生四个池,而传统标记方法中仅产生两个池。然后通过将正常(14)N对照与(15)N受干扰样本以及(15)N对照与(14)N受干扰样本合并来实现反向标记。然后将两种混合物进行蛋白酶解并通过质谱分析(结合在线或离线分离)。反向标记克服了单实验方法中蛋白质代谢标记在同位素峰相关性和数据解释方面的困难(由于不可预测/可变的质量差异)。当比较来自反向标记的两个数据集时,差异表达的蛋白质可通过特征性的反向标记模式或两次反向标记分析之间明显的定性质量偏移轻松识别。MS/MS碎片数据提供进一步确认,并随后用于搜索蛋白质数据库以进行蛋白质鉴定。该方法在本研究中已成功应用于两个模型系统。利用反向标记策略,可使用任何标准单位分辨率的质谱仪,仅获取最少的必要数据,以实现对差异表达蛋白质标志物/靶点的快速明确鉴定。该策略允许快速聚焦于差异表达蛋白质的信号。它消除了检测动态范围引起的检测模糊性。最后,反向标记能够检测蛋白质对扰动的共价变化,而这在传统标记实验中可能无法区分。