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用于蛋白质表达谱分析的阵列:能否成为二维凝胶电泳的可行替代方法?

Arrays for protein expression profiling: towards a viable alternative to two-dimensional gel electrophoresis?

作者信息

Jenkins R E, Pennington S R

机构信息

Department of Human Anatomy & Cell Biology, University of Liverpool, Liverpool, UK.

出版信息

Proteomics. 2001 Jan;1(1):13-29. doi: 10.1002/1615-9861(200101)1:1<13::AID-PROT13>3.0.CO;2-J.

DOI:10.1002/1615-9861(200101)1:1<13::AID-PROT13>3.0.CO;2-J
PMID:11680892
Abstract

Two-dimensional gel electrophoresis (2-DE) is used as a platform method for the measurement of protein expression patterns within cells, tissues or organisms. This approach can support expression profiling of several thousand proteins in multiple samples and as such it is currently unrivaled as a tool for the analysis of protein expression, which is a key component of the rapidly expanding field of proteomics. However, 2-DE has a number of significant limitations and as a consequence, alternative approaches for the measurement of expression of proteins within complex samples are actively being explored. Here we review some existing and emerging methods for protein expression analysis. In particular, we review a range of technologies that might be integrated to support the development of 'arrays' or 'chips' for rapid, high-throughput analysis of protein expression in a manner analogous to the current use of DNA arrays for mRNA expression analysis. We conclude that such separation-independent platforms may ultimately supersede two-dimensional (2-D) gel-based analyses for global protein expression analysis but that before this the technologies might provide important new platforms for diagnostic and prognostic monitoring of diseases.

摘要

二维凝胶电泳(2-DE)被用作一种平台方法,用于测量细胞、组织或生物体中的蛋白质表达模式。这种方法能够支持对多个样本中数千种蛋白质进行表达谱分析,因此,作为蛋白质表达分析工具,目前它是无与伦比的,而蛋白质表达分析是快速发展的蛋白质组学领域的一个关键组成部分。然而,二维凝胶电泳有许多显著局限性,因此,人们正在积极探索用于测量复杂样本中蛋白质表达的替代方法。在此,我们综述一些现有的和新兴的蛋白质表达分析方法。特别是,我们综述了一系列可能整合的技术,以支持开发“阵列”或“芯片”,从而以类似于目前使用DNA阵列进行mRNA表达分析的方式,对蛋白质表达进行快速、高通量分析。我们得出结论,这种不依赖分离的平台最终可能会取代基于二维(2-D)凝胶的全局蛋白质表达分析,但在此之前,这些技术可能会为疾病的诊断和预后监测提供重要的新平台。

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