nQuant Enables Precise Quantitative N-Glycomics

IF 6.7 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Yudong Guan, Shanshan Zhao, Chunjin Fu, Junzhe Zhang, Fan Yang, Jiankai Luo, Lingyun Dai, Xihai Li, Hartmut Schlüter, Jigang Wang, Chengchao Xu
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引用次数: 0

Abstract

N-glycosylation is a highly heterogeneous post-translational modification that modulates protein function. Defects in N-glycosylation are directly linked to various human diseases. Despite the importance of quantifying N-glycans with high precision, existing glycoinformatics tools are limited. Here, we developed nQuant, a glycoinformatics tool that enables label-free and isotopic labeling quantification of N-glycomics data obtained via LC-MS/MS, ensuring a low false quantitation rate. Using the label-free quantification module, we profiled the N-glycans released from purified glycoproteins and HEK293 cells as well as the dynamic changes of N-glycosylation during mouse corpus callosum development. Through the isotopic labeling quantification module, we revealed the dynamic changes of N-glycans in acute promyelocytic leukemia cells after all-trans retinoic acid treatment. Taken together, we demonstrate that nQuant enables fast and precise quantitative N-glycomics.

Abstract Image

nQuant 可实现精确定量的 N-糖化学图谱
N-糖基化是一种高度异质性的翻译后修饰,可调节蛋白质的功能。N-糖基化缺陷与多种人类疾病直接相关。尽管高精度量化 N-糖非常重要,但现有的糖信息学工具非常有限。在这里,我们开发了一种糖信息学工具 nQuant,它能对通过 LC-MS/MS 获得的 N-糖基化数据进行无标记和同位素标记定量,确保较低的错误定量率。利用无标记定量模块,我们分析了纯化糖蛋白和 HEK293 细胞释放的 N-糖,以及小鼠胼胝体发育过程中 N-糖基化的动态变化。通过同位素标记定量模块,我们揭示了全反式维甲酸处理后急性早幼粒细胞白血病细胞中N-糖的动态变化。综上所述,我们证明了 nQuant 能够实现快速、精确的 N-糖定量分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Analytical Chemistry
Analytical Chemistry 化学-分析化学
CiteScore
12.10
自引率
12.20%
发文量
1949
审稿时长
1.4 months
期刊介绍: Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.
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