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利用液相色谱-串联质谱观察到的天然同位素分布,在全蛋白质组中发现汞蛋白修饰。

Discovering mercury protein modifications in whole proteomes using natural isotope distributions observed in liquid chromatography-tandem mass spectrometry.

机构信息

Department of Pharmaceutical Chemistry, University of California San Francisco, UCSF MC 2280, San Francisco, CA 94158-2517, USA.

出版信息

Mol Cell Proteomics. 2011 Aug;10(8):M110.004853. doi: 10.1074/mcp.M110.004853. Epub 2011 Apr 30.

DOI:10.1074/mcp.M110.004853
PMID:21532010
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3149085/
Abstract

The identification of peptides that result from post-translational modifications is critical for understanding normal pathways of cellular regulation as well as identifying damage from, or exposures to xenobiotics, i.e. the exposome. However, because of their low abundance in proteomes, effective detection of modified peptides by mass spectrometry (MS) typically requires enrichment to eliminate false identifications. We present a new method for confidently identifying peptides with mercury (Hg)-containing adducts that is based on the influence of mercury's seven stable isotopes on peptide isotope distributions detected by high-resolution MS. Using a pure protein and E. coli cultures exposed to phenyl mercuric acetate, we show the pattern of peak heights in isotope distributions from primary MS single scans efficiently identified Hg adducts in data from chromatographic separation coupled with tandem mass spectrometry with sensitivity and specificity greater than 90%. Isotope distributions are independent of peptide identifications based on peptide fragmentation (e.g. by SEQUEST), so both methods can be combined to eliminate false positives. Summing peptide isotope distributions across multiple scans improved specificity to 99.4% and sensitivity above 95%, affording identification of an unexpected Hg modification. We also illustrate the theoretical applicability of the method for detection of several less common elements including the essential element, selenium, as selenocysteine in peptides.

摘要

鉴定翻译后修饰产生的肽对于理解细胞调节的正常途径以及识别来自外源性物质(即暴露组)的损伤或暴露至关重要。然而,由于它们在蛋白质组中的丰度较低,通过质谱(MS)有效检测修饰肽通常需要富集以消除假鉴定。我们提出了一种基于汞的七个稳定同位素对高分辨率 MS 检测到的肽同位素分布影响的鉴定含汞加合物肽的新方法。使用纯蛋白和暴露于苯汞乙酸盐的大肠杆菌培养物,我们展示了从初级 MS 单扫描中峰高的分布模式,可有效识别色谱分离与串联质谱相结合的数据中的 Hg 加合物,其灵敏度和特异性均大于 90%。同位素分布与基于肽片段化(例如 SEQUEST)的肽鉴定无关,因此两种方法可以结合使用以消除假阳性。跨多个扫描汇总肽同位素分布可将特异性提高到 99.4%,灵敏度高于 95%,从而可以鉴定出意想不到的 Hg 修饰。我们还说明了该方法对于检测几种较少见的元素(包括必需元素硒)的理论适用性,例如作为肽中硒代半胱氨酸。

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本文引用的文献

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An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database.一种将肽的串联质谱数据与蛋白质数据库中氨基酸序列相关联的方法。
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Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data.Decon2LS:一个用于高分辨率质谱数据自动处理和可视化的开源软件包。
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MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification.MaxQuant可实现高肽段鉴定率、个体化的百万分之一级质量精度以及全蛋白质组范围的蛋白质定量。
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