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基于质谱的自上而下完整蛋白质分析

Mass Spectrometry-based Top-down Intact Protein Analysis

  • 摘要: 解析蛋白质及其变体结构是阐明其生物学功能与分子调控机制的核心前提。质谱技术凭借其高灵敏度、高准确度及高通量优势,能实现对蛋白质的大规模精准鉴定。基于质谱的自上而下蛋白质组学以完整蛋白质作为分析对象,规避了传统自下而上蛋白质组学酶解步骤导致的肽段信息被割裂等问题,从而能够在蛋白质变体水平上保留多种结构变异和修饰之间的组合关系,弥补自下而上蛋白质组学在完整蛋白质变体解析方面的不足。本文系统总结了自上而下蛋白质组学的完整分析流程,涵盖样品制备、电离技术、串联质谱和数据处理等主要环节,并重点讨论了串联质谱解离技术。不同解离/离子活化方式,如ECD/ETD、AI-ETD和UVPD等,具有不同的碎裂机制和碎片离子类型,互补使用有助于提高蛋白质序列覆盖度、翻译后修饰定位可信度和复杂蛋白质变体的表征深度。基于上述技术进展,自上而下蛋白质组学在解析疾病相关蛋白质变体、揭示病理机制以及发现新型体液诊断标志物方面展现出了独特优势,本文也对其在肿瘤标志物、神经退行性疾病及临床诊断中的应用进行了整理介绍。

     

    Abstract: Elucidating the structures of proteins and proteoforms is a fundamental prerequisite for understanding their biological functions and molecular regulatory mechanisms. Owing to its high sensitivity, accuracy, and throughput, mass spectrometry enables large-scale and precise identification of proteins. Mass spectrometry-based top-down proteomics (TDP) directly analyzes intact proteins, circumventing the loss of connectivity among peptide-derived information caused by enzymatic digestion in conventional bottom-up proteomics (BUP). Consequently, TDP preserves the combinatorial relationships among various structural variations and modifications at the proteoform level, compensating for the limitations of BUP in comprehensive proteoform characterization. This review systematically summarizes the complete analytical workflow of TDP, covering major steps such as sample preparation, ionization techniques, tandem mass spectrometry, and data processing, with particular emphasis on tandem mass spectrometry dissociation techniques. Different dissociation/ion activation methods, including ECD/ETD, AI-ETD, and UVPD, possess distinct fragmentation mechanisms and produce different types of fragment ions. Their combined application can substantially improve protein sequence coverage, enhance the confidence of post-translational modifications localization, and deepen the characterization of complex proteoform. Building upon these technological advances, TDP has demonstrated unique advantages in identifying disease-associated proteoform, elucidating pathological mechanisms, and discovering novel biofluid diagnostic biomarkers. This review also highlights the applications of TDP in cancer biomarker discovery, neurodegenerative diseases, and clinical diagnostics.

     

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