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通过18O标记结合MS/MS光谱分析进行全球定量蛋白质组学分析。

Global quantitative proteomic profiling through 18O-labeling in combination with MS/MS spectra analysis.

作者信息

White Carl A, Oey Nicodemus, Emili Andrew

机构信息

Banting and Best Department of Medical Research, Terrence Donnelly Center for Cellular and Biomolecular Research, University of Toronto, Toronto M5S 3E1, Canada.

出版信息

J Proteome Res. 2009 Jul;8(7):3653-65. doi: 10.1021/pr8009098.

Abstract

Several stable-isotope-based peptide labeling methods have been developed to support large-scale relative quantitation, through mass spectrometry, of proteins present in two different biological samples. In one of these, trypsin-catalyzed 18O-based labeling, quantitation is typically performed at the full scan (MS) level by comparing the peak intensities of sister precursor ions corresponding to the labeled and unlabeled forms of an intact peptide as they co-elute during liquid chromatography (LC) separations. We show here that measuring relative abundance at the product ion (MS/MS) level after fragmentation provides excellent accuracy, sensitivity and signal-to-noise, while combining quantitation with global shotgun protein identification. To facilitate routine data analysis using this approach, we have developed two specialized software programs, ySelect and yRatios, which draw upon database search results for 18O-based data sets and combine fragmentation spectra peak lists to (1) accurately determine protein ratios between two samples while applying a correction for incomplete labeling and (2) tabulate these results in both intuitive summary reports and in formats amenable to systematic pathway level analysis. To validate our process, we subjected simple and complex test protein mixtures to single-step and multistep LC-MS/MS profiling experiments. Ratio distributions approached the expected means, allowing empirical derivation of confidence level cutoffs for determining statistically significant fold-changes in protein abundance. A set of stringent criteria for detecting spurious ratios based on consistency checking between unlabeled and labeled y-ion pairs was found to highlight putative false positive identifications. In summary, this toolkit facilitates comparative proteomic quantitation under conditions that are optimized for making reliable protein inferences.

摘要

已经开发了几种基于稳定同位素的肽标记方法,以支持通过质谱对存在于两种不同生物样品中的蛋白质进行大规模相对定量。其中一种方法是胰蛋白酶催化的基于18O的标记,定量通常在全扫描(MS)水平上进行,通过比较完整肽的标记形式和未标记形式的姐妹前体离子在液相色谱(LC)分离过程中共洗脱时的峰强度。我们在此表明,在碎片化后在产物离子(MS/MS)水平上测量相对丰度可提供出色的准确性、灵敏度和信噪比,同时将定量与全局鸟枪法蛋白质鉴定相结合。为了便于使用这种方法进行常规数据分析,我们开发了两个专门的软件程序,ySelect和yRatios,它们利用基于18O的数据集的数据库搜索结果,并结合碎片化光谱峰列表,以(1)在对不完全标记进行校正的同时准确确定两个样品之间的蛋白质比率,以及(2)以直观的总结报告和适合系统通路水平分析的格式列出这些结果。为了验证我们的方法,我们对简单和复杂的测试蛋白质混合物进行了单步和多步LC-MS/MS分析实验。比率分布接近预期均值,从而可以通过经验推导确定蛋白质丰度中具有统计学意义的倍数变化的置信水平截止值。发现一组基于未标记和标记的y离子对之间的一致性检查来检测虚假比率的严格标准突出了推定的假阳性鉴定。总之,该工具包有助于在优化条件下进行比较蛋白质组定量,以做出可靠的蛋白质推断。

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