Liang Shufang, Xu Zhizhong, Xu Xuejiao, Zhao Xia, Huang Canhua, Wei Yuquan
State Key Laboratory of Biotherapy, West China Hospital, West China Medical School, Sichuan University, Chengdu 610041, China.
Comb Chem High Throughput Screen. 2012 Mar;15(3):221-31. doi: 10.2174/138620712799218635.
The mass spectrometry (MS)-based quantitative proteomics is powerful to discover disease biomarkers that can provide diagnostic, prognostic and therapeutic targets, and it also can address important problems in clinical and translational medical research. The current status of MS-based quantification strategy and technical advances of several main quantitative assays (two-dimensional (2-D) gel-based methods, stable isotope labeling with amino acids in cell culture (SILAC), isotope-coded affinity tag (ICAT), the isobaric tags for relative and absolute quantification (iTRAQ), ¹⁸O labeling, absolute quantitation and label-free quantitation) have been summarized and reviewed. At present, except 2-D gel-based methods, several stable isotope labeling quantitative techniques, including SILAC, ICAT and iTRAQ, etc, have been widely applied in identification of differential expression of proteins, post-translational modifications and protein-protein interactions in order to look for novel candidate cancer biomarkers from different physiological states of cells, body fluids or tissue samples. Also, the advantages and challenges of different quantitative proteomic approaches are discussed in identification and validation of candidate targets.
基于质谱(MS)的定量蛋白质组学在发现疾病生物标志物方面具有强大功能,这些生物标志物可提供诊断、预后和治疗靶点,还能解决临床和转化医学研究中的重要问题。本文总结并综述了基于MS的定量策略的现状以及几种主要定量分析方法(基于二维(2-D)凝胶的方法、细胞培养中氨基酸稳定同位素标记(SILAC)、同位素编码亲和标签(ICAT)、相对和绝对定量的等压标签(iTRAQ)、¹⁸O标记、绝对定量和无标记定量)的技术进展。目前,除了基于2-D凝胶的方法外,包括SILAC、ICAT和iTRAQ等在内的几种稳定同位素标记定量技术已广泛应用于蛋白质差异表达鉴定、翻译后修饰以及蛋白质-蛋白质相互作用研究,以便从细胞、体液或组织样本的不同生理状态中寻找新型候选癌症生物标志物。此外,还讨论了不同定量蛋白质组学方法在候选靶点鉴定和验证中的优势与挑战。