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用于蛋白质组研究的ICPL标记策略。

ICPL labeling strategies for proteome research.

作者信息

Lottspeich Friedrich, Kellermann Josef

机构信息

Max Planck Institute of Biochemistry, Protein Analysis, D-82152, Martinsried, Germany.

出版信息

Methods Mol Biol. 2011;753:55-64. doi: 10.1007/978-1-61779-148-2_4.

Abstract

Stable isotope labeling in combination with mass spectrometry has emerged as a powerful tool to identify and quantify thousands of proteins within complex protein mixtures. Isotope-coded protein label (ICPL) is capable of high-throughput quantitative proteome profiling on a global scale. Since ICPL is based on stable isotope tagging at the free amino groups of intact proteins, it is applicable to any protein sample, including extracts from tissues or body fluids. After labeling of up to four different proteome states, the samples can be combined and the complexity reduced by any separation method currently employed in protein chemistry. After enzymatic cleavage of the protein fractions the ratios of peptides in the different proteome states can be calculated by simple MS-based mass spectrometric analyses. Only peptides that exhibit regulations in the different proteome states are further investigated for identification by tandem-mass spectrometry. The quantification of multiplexed ICPL experiments is greatly facilitated by the recently published ICPLQuant software, which was especially designed to cover the whole ICPL workflow. The method shows highly accurate and reproducible quantification of proteins, yields high sequence coverage, and is indispensable for the comprehensive detection of posttranslational modifications and protein isoforms.

摘要

稳定同位素标记与质谱联用已成为一种强大的工具,可用于识别和定量复杂蛋白质混合物中的数千种蛋白质。同位素编码蛋白质标签(ICPL)能够在全球范围内进行高通量定量蛋白质组分析。由于ICPL基于对完整蛋白质游离氨基的稳定同位素标记,因此它适用于任何蛋白质样品,包括组织或体液提取物。在标记多达四种不同的蛋白质组状态后,可以将样品合并,并通过目前蛋白质化学中使用的任何分离方法降低其复杂性。在对蛋白质组分进行酶切后,可以通过基于简单质谱的质谱分析计算不同蛋白质组状态下肽段的比率。只有在不同蛋白质组状态下表现出调控的肽段才会通过串联质谱进一步鉴定。最近发布的ICPLQuant软件极大地促进了多重ICPL实验的定量,该软件专门设计用于涵盖整个ICPL工作流程。该方法显示出对蛋白质的高度准确和可重复的定量,产生高序列覆盖率,并且对于全面检测翻译后修饰和蛋白质异构体是必不可少的。

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