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Carbon Nanoparticles and Graphene Nanosheets as MALDI Matrices in Glycomics: a New Approach to Improve Glycan Profiling in Biological Samples
Journal of the American Society for Mass Spectrometry ( IF 3.2 ) Pub Date : 2018-06-18 , DOI: 10.1007/s13361-018-1985-z
Alireza Banazadeh 1 , Wenjing Peng 1 , Lucas Veillon 1 , Yehia Mechref 1
Affiliation  

Glycomics continues to be a highly dynamic and interesting research area due to the need to comprehensively understand the biological attributes of glycosylation in many important biological functions such as the immune response, cell development, cell differentiation/adhesion, and host-pathogen interactions. Although matrix-assisted laser desorption ionization (MALDI) mass spectrometry (MS) has proven to be suitable for glycomic profiling studies, there is a need for improved sensitivity in the detection of native glycans, which ionize inefficiently. In this study, we investigated the efficiencies of graphene nanosheets (GNs) and carbon nanoparticles (CNPs) as MALDI matrices and co-matrices in glycan profiling. Our results indicated an enhancement of signal intensity by several orders of magnitude upon using GNs and CNPs in MALDI analysis of N-glycans derived from a variety of biological samples. Interestingly, increasing the amounts of CNPs and GNs improved not only the signal intensities but also prompted in-source decay (ISD) fragmentations, which produced extensive glycosidic and cross-ring cleavages. Our results indicated that the extent of ISD fragmentation could be modulated by CNP and GN concentrations, to obtain MS2 and pseudo-MS3 spectra. The results for glycan profiling in high salt solutions confirmed high salt-tolerance capacities for both CNPs and GNs. Finally, the results showed that by using CNPs and GNs as co-matrices, DHB crystal formation was more homogeneous which improved shot-to-shot reproducibility and sensitivity.

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中文翻译:

碳纳米颗粒和石墨烯纳米片作为糖食学中的MALDI基质:一种改善生物样品中糖醇分析的新方法

由于需要全面了解糖基化在许多重要生物学功能(例如免疫应答,细胞发育,细胞分化/粘附和宿主-病原体相互作用)中的生物学特性,糖蛋白学仍然是一个高度动态和有趣的研究领域。尽管基质辅助激光解吸电离(MALDI)质谱(MS)已被证明适用于糖类分析研究,但仍需要提高检测效率,以有效地电离无效的天然聚糖。在这项研究中,我们研究了石墨烯纳米片(GNs)和碳纳米颗粒(CNPs)作为聚糖谱分析中MALDI矩阵和共矩阵的效率。我们的结果表明,在从多种生物样品中提取的N-聚糖进行MALDI分析时,使用GN和CNP可将信号强度提高几个数量级。有趣的是,增加CNP和GN的数量不仅改善了信号强度,而且还促进了源内衰减(ISD)碎片化,从而产生了广泛的糖苷和交叉环裂解。我们的结果表明,ISD片段化的程度可以通过CNP和GN浓度来调节,以获得MS2和伪MS 3光谱。在高盐溶液中进行聚糖分析的结果证实了CNP和GN均具有较高的耐盐能力。最后,结果表明,通过使用CNPs和GNs作为共基质,DHB晶体的形成更加均匀,从而提高了逐次重复性和灵敏度。

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更新日期:2018-06-18
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