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蛋白质谱分析中的稳定同位素标记方法。

Stable isotope labeling methods in protein profiling.

作者信息

Lengqvist Johan, Sandberg AnnSofi

机构信息

Biopharmaceutical Research Unit, Department of Protein Science, Novo Nordisk A/S, Måløv, Denmark.

出版信息

Methods Mol Biol. 2013;1023:21-51. doi: 10.1007/978-1-4614-7209-4_3.

Abstract

Mass spectrometry (MS) analysis of peptides and proteins has evolved dramatically over the last 20 years. Improvement of MS instrumentation, computational data analysis, and the availability of complete sequence databases for many species have made large-scale proteomics analyses possible. The measurement of global protein abundance by quantitative mass spectrometry has the potential to increase both speed and impact of biological and clinical research. However, to be able to detect and identify potential biomarkers, reproducible and accurate quantification is essential. The following chapter describes how to perform quantitative protein profiling using stable isotope labeling methods. Throughout, there is a focus on guidance in selection of an appropriate labeling strategy. With that in mind, we have included a section on acquisition and understanding of the liquid chromatography-mass spectrometry (LC-MS) data format. Further, we describe the different stable isotope labeling methods and their pros and cons. We start by giving an overview of the overall quantitative proteomics workflow in which extracting relevant biological information from the acquired data is the ultimate goal.

摘要

在过去20年中,肽和蛋白质的质谱(MS)分析有了巨大的发展。质谱仪器的改进、计算数据分析以及许多物种完整序列数据库的可得性使得大规模蛋白质组学分析成为可能。通过定量质谱测量全球蛋白质丰度有潜力提高生物学和临床研究的速度和影响力。然而,为了能够检测和识别潜在的生物标志物,可重复且准确的定量至关重要。以下章节描述了如何使用稳定同位素标记方法进行定量蛋白质谱分析。自始至终,重点在于指导选择合适的标记策略。考虑到这一点,我们纳入了一个关于液相色谱 - 质谱(LC - MS)数据格式获取和理解的章节。此外,我们描述了不同的稳定同位素标记方法及其优缺点。我们首先概述整体定量蛋白质组学工作流程,其中从获取的数据中提取相关生物学信息是最终目标。

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