High-Throughput De Novo Glycan Sequencing

高通量从头聚糖测序

• 批准号: 10000171
• 负责人: Pengyu Hong
• 金额: $ 44.73万
• 依托单位: BOSTON UNIVERSITY MEDICAL CAMPUS
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2023-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10000171
• 关键词: Address; Adopted; Algorithm Design; Algorithms; Anabolism; Autoimmune Diseases; Behavior; Binding; Bioinformatics; Biological; Biological Markers; Biomedical Research; Biopolymers; Carbon; Cardiovascular Diseases; Cell Adhesion; Communities; Complex; Complex Mixtures; Computer software; Coupling; Data; Data Set; Databases; Development; Disease; Dissociation; Effectiveness; Electron Transport; Embryonic Development; Epitopes; Fourier transform ion cyclotron resonance; Genome; Glycoconjugates; Glycosides; Health; High Pressure Liquid Chromatography; Immune response; Impairment; Individual; Isomerism; Link; Liquid Chromatography; Liquid substance; Lung diseases; Machine Learning; Malignant Neoplasms; Mass Spectrum Analysis; Metabolic; Methods; Natural graphite; Nature; Pathologic Processes; Pathway interactions; Pattern; Phase; Physiological; Physiological Processes; Physiology; Play; Polysaccharides; Research; Research Project Grants; Role; Sampling; Scheme; Source; Specificity; Speed; Structure; Structure-Activity Relationship; Surface; Vacuum; Variant; analytical method; base; bioinformatics tool; catalyst; cell growth; design; genetic linkage analysis; glycosylation; improved; instrument; mass spectrometer; nervous system disorder; novel; pathogen; performance tests; programs; protein folding; reconstruction; tandem mass spectrometry; therapeutic target; tool; ultraviolet

Glycosylation fulfills important physiological functions, including protein folding, embryogenesis, cell adhesion, pathogen recognition, and immune response. The multifaceted roles glycosylation plays derive from the presence of a range of glycan epitopes, where a small structural variation can have a profound impact on functions. Further, a glycome consists of many closely related structures, with their relative amounts determined by metabolic conditions in a cell- and growth-specific manner. Altered glycosylation is linked to many diseases, including cardiovascular, pulmonary, neurological and autoimmune disorders, and cancer. Thus, there is a clear need for analytical methods that can rapidly identify and quantify the many glycoforms in a glycome from different health and disease states. Finally, no genome-predicted glycan database exists due to the unscripted nature of glycan biosynthesis, and discovery of new glycan structures must be achieved by de novo methods. Although tandem mass spectrometry-based biopolymer sequencing has been the major catalyst to the recent rapid advance of 'omics, the prevailing collisionally activated dissociation method often fails to provide sufficient glycan structural detail at the MS2 level, whereas the MSn approach lacks the speed, sensitivity, and quantitative potential for high-throughput glycome analysis. We have recently developed an electronic excitation dissociation (EED) method that can yield rich structural information in a single stage of MS/MS analysis. However, the impact of EED on glycomics research is currently limited by its poor accessibility, insufficient coupling to on-line glycan separation methods, and difficulty in interpretation of complex glycan EED tandem mass spectra. Here, we propose to develop an integrated approach that combines EED with on-line liquid chromatography (LC) separation and a novel bioinformatics tool to achieve high-throughput, de novo, and comprehensive glycome characterization. We will explore the potential of EED for analysis of glycans in various derivatized forms, study their fragmentation behaviors, and establish fragmentation rules for the development of bioinformatics software. We will optimize conditions for efficient coupling of EED to reversed-phase, and porous graphitic carbon LC, and develop an LC-EED-MS/MS approach for simultaneous characterization and quantitation of glycan mixtures. We will implement EED on a Q-TOF instrument to improve its access to the glycoscience community. Finally, we will develop and rigorously test the performance of a novel bioinformatics software that can rapidly and accurately determine each glycan's structure from its tandem MS spectra. The proposed algorithm is fundamentally different from most existing software, in that it no longer relies solely on glycosidic and cross-ring fragments for topology and linkage analysis, but rather adopts a machine learning approach that considers the contexts of various types of fragment peaks, and the spectral features associated with different linkage configurations and structural motifs. The availability of such a high-throughput, de novo glycan sequencing tool will have an immense impact on many biomedical research fields, as glycosylation plays critical roles in almost all biological pathways.

糖基化实现了重要的生理功能，包括蛋白质折叠，胚胎发生，细胞粘附， 病原体识别和免疫反应。多方面的角色糖基化扮演源自 存在一系列聚糖表位，其中较小的结构变化可能会对 功能。此外，糖果由许多密切相关的结构组成，并确定其相对量 通过细胞和生长特异性方式的代谢条件。改变的糖基化与许多疾病有关， 包括心血管，肺部，神经和自身免疫性疾病以及癌症。因此，有一个清晰的 需要可以快速识别和量化来自不同的糖中的许多糖型的分析方法 健康与疾病状态。最后，由于没有基因组预测的聚糖数据库，因为 必须通过新方法来实现聚糖生物合成和新聚糖结构的发现。 尽管基于串联质谱的生物聚合物测序一直是最近的主要催化剂 ``omics的快速进步''，普遍的碰撞激活解离方法通常无法提供足够的足够 MS2级别的聚糖结构细节，而MSN方法缺乏速度，灵敏度和定量 进行高通量糖分析的潜力。我们最近开发了电子激发解离 （EED）可以在MS/MS分析的单个阶段产生丰富的结构信息的方法。但是，影响 目前，在糖基质研究中的EED受到其可访问性不佳，与在线聚糖的耦合不足的限制 分离方法，以及解释复杂的聚糖EED串联质谱的难度。 在这里，我们建议开发一种将EED与在线液相色谱（LC）相结合的综合方法 分离和一种新颖的生物信息学工具，可实现高通量，从头和全面的糖果 表征。我们将探索EED对以各种衍生形式分析聚糖的潜力，研究 它们的分裂行为，并为开发生物信息学软件建立碎片规则。 我们将优化条件，以有效耦合EED与相反的相位，多孔石墨碳LC和 开发LC-EED-MS/MS方法，用于同时表征和定量聚糖混合物。我们 将在Q-TOF仪器上实施EED，以改善其对Glycoscience社区的访问。最后，我们会的 开发并严格测试可以快速准确的新型生物信息学软件的性能 从其串联MS光谱中确定每个聚糖的结构。提出的算法在根本上是不同的 从大多数现有软件中 和链接分析，而是采用一种机器学习方法来考虑各种类型的上下文 碎片峰以及与不同的连杆配置和结构相关的光谱特征 主题。这种高通量，从头聚糖测序工具的可用性将产生巨大影响 在许多生物医学研究领域中，糖基化在几乎所有生物途径中都起着关键作用。