Suppr超能文献

一种使用同位素编码蛋白质标签的定量蛋白质组学新策略。

A novel strategy for quantitative proteomics using isotope-coded protein labels.

作者信息

Schmidt Alexander, Kellermann Josef, Lottspeich Friedrich

机构信息

Max-Planck-Institute of Biochemistry, 82152 Martinsried, Germany.

出版信息

Proteomics. 2005 Jan;5(1):4-15. doi: 10.1002/pmic.200400873.

Abstract

Stable isotope labelling in combination with mass spectrometry has emerged as a powerful tool to identify and relatively quantify thousands of proteins within complex protein mixtures. Here we describe a novel method, termed isotope-coded protein label (ICPL), which is capable of high-throughput quantitative proteome profiling on a global scale. Since ICPL is based on stable isotope tagging at the frequent free amino groups of isolated intact proteins, it is applicable to any protein sample, including extracts from tissues or body fluids, and compatible to all separation methods currently employed in proteome studies. The method showed highly accurate and reproducible quantification of proteins and yielded high sequence coverage, indispensable for the detection of post-translational modifications and protein isoforms. The efficiency (e.g. accuracy, dynamic range, sensitivity, speed) of the approach is demonstrated by comparative analysis of two differentially spiked proteomes.

摘要

稳定同位素标记与质谱联用已成为一种强大的工具,可用于识别和相对定量复杂蛋白质混合物中的数千种蛋白质。在此,我们描述了一种名为同位素编码蛋白质标签(ICPL)的新方法,它能够在全球范围内进行高通量定量蛋白质组分析。由于ICPL基于对分离出的完整蛋白质中常见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,并且与蛋白质组研究中目前使用的所有分离方法兼容。该方法对蛋白质的定量显示出高度准确和可重复的结果,并产生了高序列覆盖率,这对于检测翻译后修饰和蛋白质异构体必不可少。通过对两个差异加标的蛋白质组进行比较分析,证明了该方法的效率(如准确性、动态范围、灵敏度、速度)。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验