How to Deal With Internal Fragment Ions?

IF 5.5 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Molecular & Cellular Proteomics Pub Date : 2025-05-01 Epub Date: 2025-02-13 DOI:10.1016/j.mcpro.2024.100896
Arthur Grimaud, Maša Babović, Frederik Haugaard Holck, Ole N Jensen, Veit Schwämmle
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Abstract

Tandem mass spectrometry of peptides and proteins generates 3mass spectra of their gas-phase fragmentation product ions, including N-terminal, C-terminal, and internal fragment ions. While N- and C-terminal ions are routinely assigned and identified using computational methods, internal fragment ions are often difficult to annotate correctly. They become particularly relevant for long peptides and full proteoforms where the peptide backbone is more likely to be fragmented multiple times. Internal fragment ions potentially offer tremendous information regarding amino acid sequences and positions of post-translational modifications of peptides and intact proteins. However, their practical application is challenged by the vast number of theoretical internal fragments that exist for long amino acid sequences, leading to a high risk of false-positive annotations. We analyze the mass spectral contributions of internal fragment ions in spectra from middle-down and top-down experiments and introduce a novel graph-based annotation approach designed to manage the complexity of internal fragments. Our graph-based representation allows us to compare multiple candidate proteoforms in a single graph, and to assess different candidate annotations in a fragment ion spectrum. We demonstrate cases from middle-down and top-down data where internal ions enhance amino acid sequence coverage of polypeptides and proteins and accurate localization of post-translational modifications. We conclude that our graph-based method provides a general approach to process complex tandem mass spectra, enhance annotation of internal fragment ions, and improve proteoform sequencing and characterization by mass spectrometry.

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如何处理内部碎片离子?
肽和蛋白质的串联质谱法生成其气相碎片产物离子的质谱,包括n端、c端和内部碎片离子。尽管N和c端离子通常是使用计算方法分配和识别的,但内部碎片离子通常难以正确注释。它们对于长肽和完整的蛋白质形态尤其重要,因为肽骨架更有可能被多次破碎。内部片段离子可能提供有关氨基酸序列和肽和完整蛋白质翻译后修饰位置的大量信息。然而,它们的实际应用受到长氨基酸序列存在大量理论内部片段的挑战,导致假阳性注释的风险很高。我们从中向下和自上而下的实验中分析了内部碎片离子在光谱中的质谱贡献,并引入了一种新的基于图的注释方法来管理内部碎片的复杂性。我们基于图的表示允许我们在单个图中比较多个候选蛋白质形态,并在片段离子谱中评估不同的候选注释。我们从中向下和自上而下的数据中展示了内部离子增强多肽和蛋白质的氨基酸序列覆盖以及翻译后修饰的准确定位的情况。我们的结论是,基于图的方法提供了处理复杂串联质谱的通用方法,增强了内部片段离子的注释,并改善了质谱分析中蛋白质形态的测序和表征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Molecular & Cellular Proteomics
Molecular & Cellular Proteomics 生物-生化研究方法
CiteScore
11.50
自引率
4.30%
发文量
131
审稿时长
84 days
期刊介绍: The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action. The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data. Scope: -Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights -Novel experimental and computational technologies -Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes -Pathway and network analyses of signaling that focus on the roles of post-translational modifications -Studies of proteome dynamics and quality controls, and their roles in disease -Studies of evolutionary processes effecting proteome dynamics, quality and regulation -Chemical proteomics, including mechanisms of drug action -Proteomics of the immune system and antigen presentation/recognition -Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease -Clinical and translational studies of human diseases -Metabolomics to understand functional connections between genes, proteins and phenotypes
期刊最新文献
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