基于凝胶和无凝胶的定量蛋白质组学方法概述。

International journal of plant genomics Pub Date : 2012-01-01 Epub Date: 2012-11-20 DOI:10.1155/2012/494572
Cosette Abdallah, Eliane Dumas-Gaudot, Jenny Renaut, Kjell Sergeant
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引用次数: 200

摘要

双向凝胶电泳(two - gel electrophoresis, 2-DE)是蛋白质组学研究中应用最广泛的方法。然而,普遍存在的与2- de相关的担忧削弱了其作为蛋白质组学研究中主要分离技术的前景。因此,最先进的霰弹枪技术正在慢慢取代,并利用质谱法(MS)的快速发展和进步,提供了一个新的无凝胶定量技术工具箱。当与质谱相结合时,霰弹枪蛋白质组学管道可以为蛋白质的敏感和高通量分析提供新的途径,从而实现高精度的定量。尽管基于标签的方法,无论是化学的还是代谢的,由于多路复用的能力,在定量蛋白质组学中得到了普及,但这些方法并非没有缺点。新兴的无标签检测方法与标签无关,适用于各种样品。定量蛋白质组学的挑战在植物中更为突出,因为蛋白质提取困难,绿色组织中一些蛋白质丰富,以及缺乏良好注释和完整的基因组序列。这个角度分析的目标是提出的优势和弱点之间的平衡,现有的凝胶和自由的方法及其应用于植物。并讨论了适用于质谱分析的肽分离的最新趋势。
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Gel-based and gel-free quantitative proteomics approaches at a glance.

Two-dimensional gel electrophoresis (2-DE) is widely applied and remains the method of choice in proteomics; however, pervasive 2-DE-related concerns undermine its prospects as a dominant separation technique in proteome research. Consequently, the state-of-the-art shotgun techniques are slowly taking over and utilising the rapid expansion and advancement of mass spectrometry (MS) to provide a new toolbox of gel-free quantitative techniques. When coupled to MS, the shotgun proteomic pipeline can fuel new routes in sensitive and high-throughput profiling of proteins, leading to a high accuracy in quantification. Although label-based approaches, either chemical or metabolic, gained popularity in quantitative proteomics because of the multiplexing capacity, these approaches are not without drawbacks. The burgeoning label-free methods are tag independent and suitable for all kinds of samples. The challenges in quantitative proteomics are more prominent in plants due to difficulties in protein extraction, some protein abundance in green tissue, and the absence of well-annotated and completed genome sequences. The goal of this perspective assay is to present the balance between the strengths and weaknesses of the available gel-based and -free methods and their application to plants. The latest trends in peptide fractionation amenable to MS analysis are as well discussed.

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