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GRable 版本 1.0:一种用于基于 MS1 的糖肽检测的改进的位点特异性糖型分析的软件工具,具有并行聚类和基于 MS2 信息的置信度评估。

GRable Version 1.0: A Software Tool for Site-Specific Glycoform Analysis With Improved MS1-Based Glycopeptide Detection With Parallel Clustering and Confidence Evaluation With MS2 Information.

机构信息

Molecular and Cellular Glycoproteomics Research Group, Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan.

Molecular and Cellular Glycoproteomics Research Group, Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki, Japan.

出版信息

Mol Cell Proteomics. 2024 Sep;23(9):100833. doi: 10.1016/j.mcpro.2024.100833. Epub 2024 Aug 23.

Abstract

High-throughput intact glycopeptide analysis is crucial for elucidating the physiological and pathological status of the glycans attached to each glycoprotein. Mass spectrometry-based glycoproteomic methods are challenging because of the diversity and heterogeneity of glycan structures. Therefore, we developed an MS1-based site-specific glycoform analysis method named "Glycan heterogeneity-based Relational IDentification of Glycopeptide signals on Elution profile (Glyco-RIDGE)" for a more comprehensive analysis. This method detects glycopeptide signals as a cluster based on the mass and chromatographic properties of glycopeptides and then searches for each combination of core peptides and glycan compositions by matching their mass and retention time differences. Here, we developed a novel browser-based software named GRable for semi-automated Glyco-RIDGE analysis with significant improvements in glycopeptide detection algorithms, including "parallel clustering." This unique function improved the comprehensiveness of glycopeptide detection and allowed the analysis to focus on specific glycan structures, such as pauci-mannose. The other notable improvement is evaluating the "confidence level" of the GRable results, especially using MS2 information. This function facilitated reduced misassignment of the core peptide and glycan composition and improved the interpretation of the results. Additional improved points of the algorithms are "correction function" for accurate monoisotopic peak picking; one-to-one correspondence of clusters and core peptides even for multiply sialylated glycopeptides; and "inter-cluster analysis" function for understanding the reason for detected but unmatched clusters. The significance of these improvements was demonstrated using purified and crude glycoprotein samples, showing that GRable allowed site-specific glycoform analysis of intact sialylated glycoproteins on a large-scale and in-depth. Therefore, this software will help us analyze the status and changes in glycans to obtain biological and clinical insights into protein glycosylation by complementing the comprehensiveness of MS2-based glycoproteomics. GRable can be freely run online using a web browser via the GlyCosmos Portal (https://glycosmos.org/grable).

摘要

高通量完整糖肽分析对于阐明与每种糖蛋白相连的聚糖的生理和病理状态至关重要。基于质谱的糖蛋白质组学方法具有挑战性,因为聚糖结构的多样性和异质性。因此,我们开发了一种基于 MS1 的位点特异性糖型分析方法,称为“基于糖基化不均一性的洗脱轮廓中糖肽信号的关系鉴定(Glyco-RIDGE)”,以进行更全面的分析。该方法根据糖肽的质量和色谱特性将糖肽信号检测为一个簇,然后通过匹配其质量和保留时间差异来搜索每个核心肽和聚糖组成的组合。在这里,我们开发了一种名为 GRable 的新型基于浏览器的软件,用于半自动化 Glyco-RIDGE 分析,该软件对糖肽检测算法进行了重大改进,包括“并行聚类”。这个独特的功能提高了糖肽检测的全面性,并使分析集中在特定的聚糖结构上,如少甘露糖。另一个显著的改进是评估“置信度”GRable 结果,特别是使用 MS2 信息。该功能有助于减少核心肽和聚糖组成的错误分配,并提高结果的解释能力。算法的其他改进点包括准确单同位素峰提取的“校正功能”;即使对于多唾液酸化糖肽,也可以实现聚类和核心肽的一对一对应;以及用于理解检测到但不匹配的聚类的原因的“聚类间分析”功能。通过使用纯化和粗制糖蛋白样品证明了这些改进的意义,表明 GRable 允许对完整唾液酸化糖蛋白进行大规模和深入的位点特异性糖型分析。因此,该软件将通过补充基于 MS2 的糖蛋白质组学的全面性,帮助我们分析聚糖的状态和变化,从而获得对蛋白质糖基化的生物学和临床见解。GRable 可以通过 GlyCosmos 门户(https://glycosmos.org/grable)免费在线使用网络浏览器运行。

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