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通过SH2分析解读癌症中磷酸酪氨酸依赖性信号网络

Deciphering Phosphotyrosine-Dependent Signaling Networks in Cancer by SH2 Profiling.

作者信息

Machida Kazuya, Khenkhar Malik, Nollau Peter

机构信息

Raymond and Beverly Sacker Laboratory of Genetics and Molecular Medicine, Department of Genetics and Developmental Biology, University of Connecticut Health Center, Farmington, CT, USA.

出版信息

Genes Cancer. 2012 May;3(5-6):353-61. doi: 10.1177/1947601912459048.

Abstract

It has been a decade since the introduction of SH2 profiling, a modular domain-based molecular diagnostics tool. This review covers the original concept of SH2 profiling, different analytical platforms, and their applications, from the detailed analysis of single proteins to broad screening in translational research. Illustrated by practical examples, we discuss the uniqueness and advantages of the approach as well as its limitations and challenges. We provide guidance for basic researchers and oncologists who may consider SH2 profiling in their respective cancer research, especially for those focusing on tyrosine phosphoproteomics. SH2 profiling can serve as an alternative phosphoproteomics tool to dissect aberrant tyrosine kinase pathways responsible for individual malignancies, with the goal of facilitating personalized diagnostics for the treatment of cancer.

摘要

自基于模块化结构域的分子诊断工具SH2分析技术问世以来,已经过去了十年。本综述涵盖了SH2分析技术的最初概念、不同的分析平台及其应用,从单个蛋白质的详细分析到转化研究中的广泛筛选。通过实际例子说明,我们讨论了该方法的独特性和优势以及其局限性和挑战。我们为可能在各自癌症研究中考虑使用SH2分析技术的基础研究人员和肿瘤学家提供指导,特别是对于那些专注于酪氨酸磷酸化蛋白质组学的研究人员。SH2分析技术可以作为一种替代的磷酸化蛋白质组学工具,用于剖析导致个体恶性肿瘤的异常酪氨酸激酶途径,目标是促进癌症治疗的个性化诊断。

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The application of modular protein domains in proteomics.蛋白质组学中模块化蛋白结构域的应用。
FEBS Lett. 2012 Aug 14;586(17):2586-96. doi: 10.1016/j.febslet.2012.04.019. Epub 2012 Apr 21.
2
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3
Mutational processes molding the genomes of 21 breast cancers.21 例乳腺癌基因组的突变过程。
Cell. 2012 May 25;149(5):979-93. doi: 10.1016/j.cell.2012.04.024. Epub 2012 May 17.
6
Mapping in vivo signal transduction defects by phosphoproteomics.通过磷酸化蛋白质组学绘制体内信号转导缺陷图。
Trends Mol Med. 2012 Jan;18(1):43-51. doi: 10.1016/j.molmed.2011.11.001. Epub 2011 Dec 9.
10
Hallmarks of cancer: the next generation.癌症的特征:下一代。
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