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基于二维凝胶的蛋白质组学方法在乳腺癌研究中的应用。

The application of 2D gel-based proteomics methods to the study of breast cancer.

作者信息

Stein Robert C, Zvelebil Marketa J

机构信息

Ludwig Institute for Cancer Research & Department of Oncology, University College London, London, United Kingdom.

出版信息

J Mammary Gland Biol Neoplasia. 2002 Oct;7(4):385-93. doi: 10.1023/a:1024034031472.

Abstract

The protein complement of breast cells consists of many thousands of proteins. Recent developments in 2D gel electrophoresis technology have made studies requiring the quantitative analysis of a differential proteome, such as comparison between normal and malignant cells or investigation of drug effects on cells, truly feasible. Computer software plays a central part in the comparisons between multiple gels required for such experiments. In addition, software tools allow patterns of coexpression of proteins to be studied, offering potential insights into protein regulation, interactions, and functions, especially when combined with complementary data on gene expression. In this paper, the technology and limitations of 2D gel-based proteomics are reviewed. Techniques for comparing sets of gels at a global level as well as identifying specific protein features that differentiate gels are discussed. Our own experience of studying the breast cell proteome is used to illustrate the difficulties and achievements of differential proteomics.

摘要

乳腺细胞的蛋白质组由成千上万种蛋白质组成。二维凝胶电泳技术的最新进展使得需要对差异蛋白质组进行定量分析的研究成为可能,比如正常细胞与恶性细胞之间的比较,或者药物对细胞作用的研究。计算机软件在这类实验所需的多个凝胶之间的比较中起着核心作用。此外,软件工具能够研究蛋白质的共表达模式,为蛋白质调控、相互作用及功能提供潜在的见解,特别是当与基因表达的补充数据相结合时。本文综述了基于二维凝胶的蛋白质组学技术及其局限性。讨论了在全局水平上比较凝胶组以及识别区分凝胶的特定蛋白质特征的技术。我们自己研究乳腺细胞蛋白质组的经验用于说明差异蛋白质组学的困难与成就。

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