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本文引用的文献

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N-Glycan Profile of Cerebrospinal Fluids from Alzheimer's Disease Patients Using Liquid Chromatography with Mass Spectrometry.采用液相色谱-质谱联用技术分析阿尔茨海默病患者脑脊液中的 N-糖链谱。
J Proteome Res. 2019 Oct 4;18(10):3770-3779. doi: 10.1021/acs.jproteome.9b00504. Epub 2019 Sep 16.
2
8-plex LC-MS/MS Analysis of Permethylated -Glycans Achieved by Using Stable Isotopic Iodomethane.8 重 LC-MS/MS 分析采用稳定同位素碘甲烷衍生化的全甲基化聚糖。
Anal Chem. 2019 Sep 17;91(18):11794-11802. doi: 10.1021/acs.analchem.9b02411. Epub 2019 Aug 23.
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Standardization of PGC-LC-MS-based glycomics for sample specific glycotyping.基于 PGC-LC-MS 的糖组学样品特异性糖型分析标准化。
Analyst. 2019 Jun 7;144(11):3601-3612. doi: 10.1039/c9an00486f. Epub 2019 May 8.
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Isomeric Separation and Characterisation of Glycoconjugates.糖缀合物的立体异构分离与特性分析。
Adv Exp Med Biol. 2018;1104:77-99. doi: 10.1007/978-981-13-2158-0_5.
5
Advances in mass spectrometry-based glycoproteomics.基于质谱的糖蛋白质组学进展。
Electrophoresis. 2018 Dec;39(24):3104-3122. doi: 10.1002/elps.201800272. Epub 2018 Oct 9.
6
Advances in mass spectrometry-based glycomics.基于质谱的糖组学研究进展。
Electrophoresis. 2018 Dec;39(24):3063-3081. doi: 10.1002/elps.201800273. Epub 2018 Oct 9.
7
A carbon nanoparticles-based solid-phase purification method facilitating sensitive MALDI-MS analysis of permethylated N-glycans.一种基于碳纳米粒子的固相净化方法,可实现甲氧基化 N-聚糖的灵敏 MALDI-MS 分析。
Electrophoresis. 2018 Dec;39(24):3087-3095. doi: 10.1002/elps.201800254. Epub 2018 Sep 6.
8
Carbon Nanoparticles and Graphene Nanosheets as MALDI Matrices in Glycomics: a New Approach to Improve Glycan Profiling in Biological Samples.碳纳米粒子和石墨烯纳米片作为 MALDI 基质在糖组学中的应用:一种提高生物样本中聚糖分析的新方法。
J Am Soc Mass Spectrom. 2018 Sep;29(9):1892-1900. doi: 10.1007/s13361-018-1985-z. Epub 2018 Jun 18.
9
A Drosophila Tumor Suppressor Gene Prevents Tonic TNF Signaling through Receptor N-Glycosylation.果蝇肿瘤抑制基因通过受体 N-糖基化防止紧张型 TNF 信号。
Dev Cell. 2018 Jun 4;45(5):595-605.e4. doi: 10.1016/j.devcel.2018.05.012.
10
Enhanced Quantitative LC-MS/MS Analysis of N-linked Glycans Derived from Glycoproteins Using Sodium Deoxycholate Detergent.使用脱氧胆酸钠洗涤剂增强定量 LC-MS/MS 分析糖蛋白衍生的 N-连接聚糖。
J Proteome Res. 2018 Aug 3;17(8):2668-2678. doi: 10.1021/acs.jproteome.8b00127. Epub 2018 Jul 20.

糖基单位指数(GUI)对甲基化聚糖的有效鉴定糖和糖异构体。

Glucose unit index (GUI) of permethylated glycans for effective identification of glycans and glycan isomers.

机构信息

Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX 79409-1061, USA.

出版信息

Analyst. 2020 Oct 21;145(20):6656-6667. doi: 10.1039/d0an00314j. Epub 2020 Aug 17.

DOI:10.1039/d0an00314j
PMID:32804173
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7554265/
Abstract

Retention time is the most common and widely used criterion to report the separation of glycans using Liquid Chromatography (LC), but it varies widely across different columns, instruments and laboratories. This variation is problematic when inter-laboratory data is compared. Furthermore, it influences reproducibility and hampers efficient data interpretation. In our endeavor to overcome this variance, we propose the use of the Glucose Unit Index (GUI) on C18 and PGC column-based separation of reduced and permethylated glycans. GUI has previously been utilized for retention time normalization of native and labeled glycans. We evaluated this method with reduced and permethylated glycans derived from model glycoproteins fetuin and ribonuclease B (RNase B), and then implemented it to human blood serum to generate C18 and PGC column-based isomeric glycan libraries. GUI values for glycan compositions were calculated with respect to the glucose units derived from dextrin, which was employed as an elution standard. The GUI values were validated on three different LC systems (UltiMate 3000 Nano UHPLC systems) in two laboratories to ensure the reliability and reproducibility of the method. Applicability on real samples was demonstrated using human breast cancer cell lines. A total of 116 permethylated N-glycans separated on a C18 column and 134 glycans separated on a PGC column were compiled in a library. Overall, the established GUI method and the demonstration of reproducible inter- and intra-laboratory GUI values would aid the future development of automated glycan and isomeric glycan identification methods.

摘要

保留时间是使用液相色谱 (LC) 报告聚糖分离的最常用和最广泛的标准,但它在不同的柱子、仪器和实验室之间差异很大。当比较实验室间的数据时,这种变化是有问题的。此外,它还会影响重现性并阻碍有效的数据分析。为了克服这种差异,我们提出在 C18 和 PGC 柱上基于还原和全甲基化聚糖的分离中使用葡萄糖单元指数 (GUI)。GUI 之前已被用于对天然和标记聚糖的保留时间进行归一化。我们使用来自模型糖蛋白胎球蛋白和核糖核酸酶 B (RNase B) 的还原和全甲基化聚糖对该方法进行了评估,然后将其应用于人血清中,以生成基于 C18 和 PGC 柱的异构聚糖文库。GUI 值是相对于从糊精衍生的葡萄糖单元计算的,糊精被用作洗脱标准。我们在两个实验室中的三个不同 LC 系统 (UltiMate 3000 Nano UHPLC 系统) 上验证了 GUI 值,以确保该方法的可靠性和重现性。使用人乳腺癌细胞系证明了在真实样本上的适用性。总共在 C18 柱上分离了 116 种全甲基化 N-聚糖,在 PGC 柱上分离了 134 种聚糖,将它们编译成一个文库。总的来说,建立的 GUI 方法和重现性的 GUI 值的证明将有助于未来自动化聚糖和异构聚糖鉴定方法的发展。