Suppr超能文献

通过等重标记和质谱实现精确定量的广泛肽段分离和 y 离子基干扰检测方法。

Extensive Peptide Fractionation and y Ion-Based Interference Detection Method for Enabling Accurate Quantification by Isobaric Labeling and Mass Spectrometry.

机构信息

Heilongjiang University of Chinese Medicine , Harbin, Heilongjiang 150040, China.

Integrated Biomedical Sciences Program, University of Tennessee Health Science Center , Memphis, Tennessee 38163, United States.

出版信息

Anal Chem. 2017 Mar 7;89(5):2956-2963. doi: 10.1021/acs.analchem.6b04415. Epub 2017 Feb 22.

Abstract

Isobaric labeling quantification by mass spectrometry (MS) has emerged as a powerful technology for multiplexed large-scale protein profiling, but measurement accuracy in complex mixtures is confounded by the interference from coisolated ions, resulting in ratio compression. Here we report that the ratio compression can be essentially resolved by the combination of pre-MS peptide fractionation, MS2-based interference detection, and post-MS computational interference correction. To recapitulate the complexity of biological samples, we pooled tandem mass tag (TMT)-labeled Escherichia coli peptides at 1:3:10 ratios and added in ∼20-fold more rat peptides as background, followed by the analysis of two-dimensional liquid chromatography (LC)-MS/MS. Systematic investigation shows that quantitative interference was impacted by LC fractionation depth, MS isolation window, and peptide loading amount. Exhaustive fractionation (320 × 4 h) can nearly eliminate the interference and achieve results comparable to the MS3-based method. Importantly, the interference in MS2 scans can be estimated by the intensity of contaminated y product ions, and we thus developed an algorithm to correct reporter ion ratios of tryptic peptides. Our data indicate that intermediate fractionation (40 × 2 h) and y ion-based correction allow accurate and deep TMT profiling of more than 10 000 proteins, which represents a straightforward and affordable strategy in isobaric labeling proteomics.

摘要

基于质谱的等压标记定量(MS)已成为一种用于大规模蛋白质分析的强大技术,但在复杂混合物中,由于共分离离子的干扰,测量准确性受到影响,导致比率压缩。在这里,我们报告说,通过预 MS 肽分级、基于 MS2 的干扰检测和 MS 后计算干扰校正的组合,可以有效地解决这种比率压缩问题。为了再现生物样品的复杂性,我们将串联质量标签(TMT)标记的大肠杆菌肽按 1:3:10 的比例混合,并以约 20 倍的大鼠肽作为背景添加,然后进行二维液相色谱(LC)-MS/MS 分析。系统研究表明,定量干扰受 LC 分级深度、MS 隔离窗口和肽加载量的影响。彻底的分级(320×4 h)几乎可以消除干扰,并获得与 MS3 方法相当的结果。重要的是,MS2 扫描中的干扰可以通过污染的 y 产物离子的强度来估计,因此我们开发了一种算法来校正胰蛋白酶肽的报告离子比率。我们的数据表明,中间分级(40×2 h)和基于 y 离子的校正可以准确、深入地分析超过 10000 种蛋白质的 TMT 图谱,这是一种在等压标记蛋白质组学中简单且经济实惠的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee47/5467445/044f9c87c737/nihms867184f1.jpg

相似文献

引用本文的文献

6
Characterization of a dual degrader of MDM2 and GSPT1.MDM2和GSPT1双重降解剂的表征
Eur J Med Chem. 2025 Oct 5;295:117793. doi: 10.1016/j.ejmech.2025.117793. Epub 2025 May 21.
9
Genetic modulation of protein expression in rat brain.大鼠脑中蛋白质表达的基因调控
iScience. 2025 Feb 21;28(3):112079. doi: 10.1016/j.isci.2025.112079. eCollection 2025 Mar 21.

本文引用的文献

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验