Quantitative Proteomics for Cancer Biomarker Discovery
Quantitative Proteomics for Cancer Biomarker Discovery
复制标题
癌症生物标志物发现的定量蛋白质组学
DOI：
10.2174/138620712799218635
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发表时间：
2012-03-01
影响因子：
1.8
通讯作者：
Wei, Yuquan
中科院分区：
文献类型：
--
作者：
Liang, Shufang;Xu, Zhizhong;Wei, Yuquan
基于质谱技术的定量蛋白质组学技术能够发现疾病的生物标志物，为疾病的诊断、预后和治疗提供新的靶点，并能解决临床和转化医学研究中的重要问题。本文综述了近年来基于质谱的定量策略的研究现状和几种主要的定量分析方法（二维凝胶法、细胞培养物中氨基酸稳定同位素标记法（SILAC）、同位素编码亲和标记法（ICAT）、相对和绝对定量同量异位素标记法（iTRAQ）、O-18标记法、绝对定量法和无标记定量法）的技术进展。目前，除二维凝胶法外，SILAC、ICAT和iTRAQ等稳定同位素标记定量技术已广泛应用于蛋白质差异表达、翻译后修饰和蛋白质间相互作用的鉴定，以期从细胞、体液或组织样本的不同生理状态中寻找新的候选肿瘤生物标志物。此外，不同的定量蛋白质组学方法的优势和挑战进行了讨论，在识别和验证候选目标。
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), O-18 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.