高分辨率离子迁移-质谱法增强脂质组学。

IF 3.9 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Proteomics Pub Date : 2025-08-13 DOI:10.1002/pmic.70026
Gaoyuan Lu, Shuling Xu, Penghsuan Huang, Lingjun Li
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引用次数: 0

摘要

脂质是一种不可缺少的结构复杂的生物分子,在细胞功能和疾病进展中起着重要的调节作用。传统的脂质组学,受限于对同分异构体和低丰度物种的有限分辨率,已经被离子迁移-质谱(IM-MS)所改变。该技术通过增强正交分离、基于碰撞截面(CCS)的识别和提高灵敏度来增强分析能力。本文综述了im - ms驱动的脂质组学的变革性进展,重点关注三个主要支柱:(1)对领先的离子迁移率光谱(IMS)平台的关键评估,强调创新的仪器几何形状和在分辨脂质异构体方面的突破;(2)探索脂质CCS数据库和预测框架,突出计算建模和机器学习策略,将实验数据与高置信度脂质注释的分子表示协同起来;(3)新兴的多维脂质组学工作流程,将CCS与液相色谱-质谱/质谱相结合,以提高识别和深度,以及质谱成像用于空间分辨脂质组学。通过统一尖端仪器、计算进步和生物学见解,本综述概述了利用IM-MS揭示脂质组复杂性、催化生物标志物发现和精准医学创新的路线图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing Lipidomics With High-Resolution Ion Mobility-Mass Spectrometry.

Lipids, indispensable yet structurally intricate biomolecules, serve as critical regulators of cellular function and disease progression. Conventional lipidomics, constrained by limited resolution for isomeric and low-abundance species, has been transformed by ion mobility-mass spectrometry (IM-MS). This technology augments analytical power through enhanced orthogonal separation, collision cross-section (CCS)-based identification, and improved sensitivity. This review examines the transformative advances in IM-MS-driven lipidomics, focusing on three major pillars: (1) a critical evaluation of leading ion mobility spectrometry (IMS) platforms, emphasizing innovative instrument geometries and breakthroughs in resolving lipid isomers; (2) an exploration of lipid CCS databases and predictive frameworks, spotlighting computational modeling and machine learning strategies that synergize experimental data with molecular representations for high-confidence lipid annotation; (3) emerging multi-dimensional lipidomics workflows integrating CCS with liquid chromatography-MS/MS to boost identification and depth, alongside mass spectrometry imaging for spatially resolved lipidomics. By unifying cutting-edge instrumentation, computational advances, and biological insights, this review outlines a roadmap for leveraging IM-MS to unravel lipidome complexity, catalyzing biomarker discovery and precision medicine innovation.

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来源期刊
Proteomics
Proteomics 生物-生化研究方法
CiteScore
6.30
自引率
5.90%
发文量
193
审稿时长
3 months
期刊介绍: PROTEOMICS is the premier international source for information on all aspects of applications and technologies, including software, in proteomics and other "omics". The journal includes but is not limited to proteomics, genomics, transcriptomics, metabolomics and lipidomics, and systems biology approaches. Papers describing novel applications of proteomics and integration of multi-omics data and approaches are especially welcome.
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