ISAS - Institute for Analytical Sciences, Dortmund, Germany.
Proteomics. 2010 Feb;10(4):650-70. doi: 10.1002/pmic.200900481.
The increasing popularity of gel-free proteomics technologies has created a strong demand for compatible quantitative analysis methods. As a result, a plethora of different techniques has been proposed to perform gel-free quantitative analysis of proteomics samples. Each of these methods comes with certain strengths and shortcomings, and they often are dedicated to a specific purpose. This review will present a brief overview of the main methods, organized by their underlying concepts, and will discuss the issues they raise with a focus on data processing. Finally, we will list the available software that can help with the data processing from quantitative experiments. We hope that this review will thus enable researchers to find the most appropriate method available for their research objectives, and can also serve as a basis for creating a reliable data processing strategy.
凝胶自由蛋白质组学技术的日益普及,对兼容的定量分析方法产生了强烈的需求。因此,提出了大量不同的技术来对蛋白质组学样品进行凝胶自由定量分析。这些方法中的每一种都有其自身的优势和缺点,并且通常针对特定的目的。本综述将简要概述主要方法,按照其基本概念进行组织,并将讨论它们提出的问题,重点是数据处理。最后,我们将列出可用于帮助进行定量实验数据处理的可用软件。我们希望本综述能使研究人员找到最适合其研究目标的方法,并为创建可靠的数据处理策略提供基础。