Quantitative proteome-wide O-glycoproteomics analysis with FragPipe.

IF 3.8 2区 化学 Q1 BIOCHEMICAL RESEARCH METHODS Analytical and Bioanalytical Chemistry Pub Date : 2025-02-01 Epub Date: 2024-06-15 DOI:10.1007/s00216-024-05382-x
Daniel A Polasky, Lei Lu, Fengchao Yu, Kai Li, Michael R Shortreed, Lloyd M Smith, Alexey I Nesvizhskii
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Abstract

Identification of O-glycopeptides from tandem mass spectrometry data is complicated by the near complete dissociation of O-glycans from the peptide during collisional activation and by the combinatorial explosion of possible glycoforms when glycans are retained intact in electron-based activation. The recent O-Pair search method provides an elegant solution to these problems, using a collisional activation scan to identify the peptide sequence and total glycan mass, and a follow-up electron-based activation scan to localize the glycosite(s) using a graph-based algorithm in a reduced search space. Our previous O-glycoproteomics methods with MSFragger-Glyco allowed for extremely fast and sensitive identification of O-glycopeptides from collisional activation data but had limited support for site localization of glycans and quantification of glycopeptides. Here, we report an improved pipeline for O-glycoproteomics analysis that provides proteome-wide, site-specific, quantitative results by incorporating the O-Pair method as a module within FragPipe. In addition to improved search speed and sensitivity, we add flexible options for oxonium ion-based filtering of glycans and support for a variety of MS acquisition methods and provide a comparison between all software tools currently capable of O-glycosite localization in proteome-wide searches.

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利用 FragPipe 进行全蛋白质组 O-糖蛋白组学定量分析。
从串联质谱数据中鉴定 O 型糖肽非常复杂,因为在碰撞活化过程中,O 型糖与肽几乎完全解离,而在电子活化过程中,当糖被完整保留下来时,可能出现的糖型组合爆炸。最近的 O-Pair 搜索方法为解决这些问题提供了一个优雅的解决方案,它使用碰撞活化扫描来确定肽序列和聚糖总质量,并使用基于图的算法在一个缩小的搜索空间内进行后续的电子活化扫描来定位聚糖。我们以前使用 MSFragger-Glyco 的 O 型糖蛋白组学方法可以从碰撞活化数据中快速灵敏地识别 O 型糖肽,但对糖的位点定位和糖肽的定量支持有限。在此,我们报告了一种改进的 O-糖蛋白组学分析管道,它通过将 O-Pair 方法作为 FragPipe 的一个模块,提供了全蛋白质组、特定位点的定量结果。除了提高搜索速度和灵敏度外,我们还增加了基于羰基离子过滤聚糖的灵活选项,支持多种 MS 采集方法,并对目前能在全蛋白质组搜索中进行 O 型聚糖定位的所有软件工具进行了比较。
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来源期刊
CiteScore
8.00
自引率
4.70%
发文量
638
审稿时长
2.1 months
期刊介绍: Analytical and Bioanalytical Chemistry’s mission is the rapid publication of excellent and high-impact research articles on fundamental and applied topics of analytical and bioanalytical measurement science. Its scope is broad, and ranges from novel measurement platforms and their characterization to multidisciplinary approaches that effectively address important scientific problems. The Editors encourage submissions presenting innovative analytical research in concept, instrumentation, methods, and/or applications, including: mass spectrometry, spectroscopy, and electroanalysis; advanced separations; analytical strategies in “-omics” and imaging, bioanalysis, and sampling; miniaturized devices, medical diagnostics, sensors; analytical characterization of nano- and biomaterials; chemometrics and advanced data analysis.
期刊最新文献
My perspective of meaningful research for Analytical and Bioanalytical Chemistry. Quantitative proteome-wide O-glycoproteomics analysis with FragPipe. Carbohydrate Structure Database: current state and recent developments. Glycoscience data content in the NCBI Glycans and PubChem. Navigating the maze of mass spectra: a machine-learning guide to identifying diagnostic ions in O-glycan analysis.
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