蛋白质组学与蛋白质组学数据分析：当前蛋白质分析技术概述
Proteomics and the analysis of proteomic data: an overview of current protein-profiling technologies.
作者信息
Gulcicek Erol E, Colangelo Christopher M, McMurray Walter, Stone Kathryn, Williams Kenneth, Wu Terence, Zhao Hongyu, Spratt Heidi, Kurosky Alexander, Wu Baolin
机构信息
Yale University, New Haven, Connecticut, USA.
出版信息
Curr Protoc Bioinformatics. 2005 Jul;Chapter 13:Unit 13.1. doi: 10.1002/0471250953.bi1301s10.
In recent years, several proteomic methodologies have been developed that now make it possible to identify, characterize, and comparatively quantify the relative level of expression of hundreds of proteins that are coexpressed in a given cell type or tissue, or that are found in biological fluids such as serum. These advances have resulted from the integration of diverse scientific disciplines including molecular and cellular biology, protein/peptide chemistry, bioinformatics, analytical and bioanalytical chemistry, and the use of instrumental and software tools such as multidimensional electrophoretic and chromatographic separations and mass spectrometry. In this unit, some of the common protein-profiling technologies are reviewed, along with the accompanying data-analysis tools.
近年来，已经开发出了几种蛋白质组学方法，这些方法现在能够识别、表征和相对定量在给定细胞类型或组织中共表达的数百种蛋白质的相对表达水平，或者在血清等生物流体中发现的蛋白质的相对表达水平。这些进展得益于多种科学学科的整合，包括分子和细胞生物学、蛋白质/肽化学、生物信息学、分析和生物分析化学，以及仪器和软件工具的使用，如多维电泳和色谱分离以及质谱。在本单元中，将对一些常见的蛋白质分析技术以及相关的数据分析工具进行综述。
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