色谱 ›› 2025, Vol. 43 ›› Issue (9): 996-1004.DOI: 10.3724/SP.J.1123.2025.04004

• 研究论文 • 上一篇    下一篇

针对微量血浆样本的N-糖肽规模化的富集鉴定方法

杨馨逸1,2, 秦伟捷1,2,*()   

  1. 1.安徽医科大学基础医学院,安徽 合肥 230032
    2.医学蛋白质组全国重点实验室,国家蛋白质科学中心 (北京),北京蛋白质组研究中心,军事科学院军事医学研究院,北京 102206
  • 收稿日期:2025-04-09 出版日期:2025-09-08 发布日期:2025-09-04
  • 通讯作者: *E-mail:aunp_dna@126.com.
  • 基金资助:
    国家自然科学基金(32371504)

A large-scale method for the enrichment and identification of N-glycopeptides in microscale plasma samples

YANG Xinyi1,2, QIN Weijie1,2,*()   

  1. 1. School of Basic Medical Science,Anhui Medical University,Hefei 230032,China
    2. State Key Laboratory of Medical Proteomics,National Center for Protein Sciences (Beijing),Beijing Proteome Research Center,Beijing Institute of Lifeomics,Beijing 102206,China
  • Received:2025-04-09 Online:2025-09-08 Published:2025-09-04
  • Supported by:
    National Natural Science Foundation of China(32371504)

摘要:

血浆是血液的重要组成部分,它作为临床蛋白质组学研究的重要样本,蕴含着丰富的生理与病理信息,是发现疾病相关生物标志物的理想来源。蛋白质N-糖基化作为一种关键的翻译后修饰,广泛参与细胞间通讯、免疫调节和信号转导等生物学过程,其异常变化与肿瘤、自身免疫疾病和神经退行性疾病等多种病理状态密切相关。因此,N-糖基化蛋白质组学在生物标志物和药物靶点开发中具有重要价值。然而,由于N-糖肽在生物样本中的丰度较低,且质谱分析时易受高丰度非修饰肽段的信号抑制,因此,在质谱检测前对其进行高效富集是实现深度N-糖蛋白质组覆盖的关键挑战,特别是对于微量血浆样本目前尚缺乏深入研究。本工作针对微量血浆N-糖肽构建了一种高效富集方法和高灵敏度质谱分析策略,首先通过优化亲水相互作用色谱法(HILIC)填料固定相化学组成、孔径大小等关键参数与N-糖肽的洗脱梯度,得到具有高选择性的富集方案,并结合基于平行累积序列碎片技术(PASEF)高分辨质谱仪Tims TOF Pro 2与高质量精度的Orbitrap Lumos的双平台互补分析,显著提升了N-糖肽的鉴定深度,在仅使用20 μg血浆肽段(等效0.5 μL全血浆)的条件下,通过HILIC富集得到了2 962条完整N-糖肽,显著提高了N-糖肽鉴定的灵敏度,成功填补了微量血浆N-糖肽富集技术的空白,也为基于血浆N-糖蛋白质组学的精准医学研究提供了可靠的分析平台,为疾病生物标志物的发现提供了技术支持。

关键词: 富集, 质谱, 蛋白质组, 亲水相互作用色谱法, N-糖肽, 血浆

Abstract:

Blood, which forms part of the systemic circulatory system, contains proteins from various tissues and organs. Hence, blood samples are ideal vehicles for studying diseases and physiological states. Plasma is an important component of blood and is essential for clinical proteomics research. Plasma contains rich physiological and pathological information; consequently, it is an ideal medium for discovering disease-related biomarkers. Protein N-glycosylation is a key post-translational modification route. This route is widely involved in biological processes such as intercellular communication, immune regulation, and signal transduction. Changes resulting from aberrant N-glycosylation are closely associated with various pathological conditions, including autoimmune and neurodegenerative diseases and tumors. Hence, N-glycosylation proteomics is highly valuable during biomarker and drug-target development. However, efficiently enriching N-glycopeptides in biological samples before detection by mass spectrometry (MS) is difficult. This is because the highly abundant unmodified peptides result in signal suppression. Consequently, achieving deep N-glycoproteomic coverage is a key challenge, particularly for trace plasma samples, for which in-depth studies are currently lacking. In this study, we developed a strategy for comprehensively profiling trace N-glycopeptides in plasma. This includes an efficient enrichment method in combination with highly sensitive MS. The developed approach integrates glycopeptide enrichment using advanced hydrophilic interaction liquid chromatography (HILIC) with state-of-the-art MS platforms. This significantly enhances detection depth and sensitivity during N-glycosylation analysis using minimal plasma volumes. Selectivity and efficiency during N-glycopeptide enrichment were maximized by systematically optimizing key HILIC-packed stationary-phase parameters. These parameters include chemical composition, pore size, and surface modification. Additionally, the elution gradient was fine-tuned to improve glycopeptide recovery. This optimization process delivered high N-glycopeptide specificity, even in complex plasma matrices. To overcome the limitations of single-platform MS, we implemented a complementary dual-platform strategy. This strategy combines the high-speed, high-resolution capabilities of the Tims TOF Pro 2 instrument with the ultra-high mass accuracy and resolution of the Orbitrap Lumos spectrometer. The former instrument facilitates the rapid and sensitive identification of glycopeptides, particularly for low-abundance species. It exploits the trapped ion mobility spectrometry (TIMS) and parallel accumulated sequential fragmentation (PASEF) technology. The Orbitrap Lumos provides exceptional mass accuracy and high-resolution MS/MS spectra that enable confident glycopeptide structural characterization. This synergistic approach significantly expands the N-glycopeptide identification depth and ensures comprehensive glycosylation-site and glycan-composition coverage. The developed optimized workflow successfully identified 2 962 intact N-glycopeptides using only 20 μg of plasma peptides (equivalent to 0.5 μL of whole plasma). This set a new benchmark for sensitivity in the micro-volume plasma glycoproteome field. This achievement addresses a critical gap, where conventional methods typically require much larger sample volumes. This limits their applicability to clinical and precision medicine settings where sample availability is restricted. The developed platform provides a robust and reliable analytical framework for plasma N-glycoproteomics with significant implications for precision medicine. This method facilitates large-scale clinical studies by enabling highly sensitive glycopeptide profiling from very small plasma volumes. This included the longitudinal monitoring of disease progression and therapeutic responses. Furthermore, it offers a powerful tool for discovering novel N-glycosylation-based biomarkers for use in early disease diagnosis, prognosis, and personalized treatment strategies. In summary, this study advances the technical capabilities of plasma N-glycoproteomics. Additionally, it facilitates the broader use of plasma N-glycoproteomics in biomedical research and clinical diagnostics.

Key words: enrichment, mass spectrometry (MS), proteome, hydrophilic interaction chromatography (HILIC), N-glycopeptide, plasma

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