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研究蛋白质异质性和翻译后修饰的技术。

Techniques for studying protein heterogeneity and post-translational modifications.

作者信息

Baumann Marc, Meri Seppo

机构信息

Institute of Biomedicine, Biomedicum Helsinki, University of Helsinki, PO Box 63, Haartmaninkatu 8, FIN-00014, Finland.

出版信息

Expert Rev Proteomics. 2004 Aug;1(2):207-17. doi: 10.1586/14789450.1.2.207.

DOI:10.1586/14789450.1.2.207
PMID:15966815
Abstract

Proteins often undergo several post-translational modification steps in parallel to protein folding. These modifications can be transient or of a more permanent nature. Most modifications are, however, susceptible to alteration during the lifespan of proteins. Post-translational modifications thus generate variability in proteins that are far beyond that provided by the genetic code. Co- and post-translational modifications can convert the 20 specific codon-encoded amino acids into more than 100 variant amino acids with new properties. These, and a number of other modifications, can considerably increase the information content and functional repertoire of proteins, thus making their analysis of paramount importance for diagnostic and basic research purposes. Various methods used in proteomics, such as 2D gel electrophoresis, 2D liquid chromatography, mass spectrometry, affinity-based analytical methods, interaction analyses, ligand blotting techniques, protein crystallography and structure-function predictions, are all applicable for the analysis of these numerous secondary modifications. In this review, examples of some of these techniques in studying the heterogeneity of proteins are highlighted. In the future, these methods will become increasingly useful in biomarker searches and in clinical diagnostics.

摘要

蛋白质在进行折叠的同时,常常会并行经历多个翻译后修饰步骤。这些修饰可以是短暂的,也可以具有更持久的性质。然而,大多数修饰在蛋白质的寿命期间容易发生改变。因此,翻译后修饰会在蛋白质中产生远远超出遗传密码所提供的变异性。共翻译和翻译后修饰可将20种特定密码子编码的氨基酸转化为100多种具有新特性的变体氨基酸。这些修饰以及许多其他修饰可显著增加蛋白质的信息含量和功能库,因此对其进行分析对于诊断和基础研究目的至关重要。蛋白质组学中使用的各种方法,如二维凝胶电泳、二维液相色谱、质谱、基于亲和力的分析方法、相互作用分析、配体印迹技术、蛋白质晶体学和结构功能预测,都适用于分析这些众多的二级修饰。在本综述中,重点介绍了其中一些技术在研究蛋白质异质性方面的实例。未来,这些方法在生物标志物搜索和临床诊断中将变得越来越有用。

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