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基于全自动化芯片-纳喷雾质谱的先进方法评估肺腺癌脑转移中神经节苷脂的分子表达和结构。

Assessment of the molecular expression and structure of gangliosides in brain metastasis of lung adenocarcinoma by an advanced approach based on fully automated chip-nanoelectrospray mass spectrometry.

机构信息

Department of Chemical and Biological Sciences, Aurel Vlaicu University of Arad, Revolutiei Blvd. 77, RO-310130, Arad, Romania.

出版信息

J Am Soc Mass Spectrom. 2011 Dec;22(12):2145-59. doi: 10.1007/s13361-011-0250-5. Epub 2011 Oct 15.

DOI:10.1007/s13361-011-0250-5
PMID:22002228
Abstract

Gangliosides (GGs), sialic acid-containing glycosphingolipids, are known to be involved in the invasive/metastatic behavior of brain tumor cells. Development of modern methods for determination of the variations in GG expression and structure during neoplastic cell transformation is a priority in the field of biomedical analysis. In this context, we report here on the first optimization and application of chip-based nanoelectrospray (NanoMate robot) mass spectrometry (MS) for the investigation of gangliosides in a secondary brain tumor. In our work a native GG mixture extracted and purified from brain metastasis of lung adenocarcinoma was screened by NanoMate robot coupled to a quadrupole time-of-flight MS. A native GG mixture from an age-matched healthy brain tissue, sampled and analyzed under identical conditions, served as a control. Comparative MS analysis demonstrated an evident dissimilarity in GG expression in the two tissue types. Brain metastasis is characterized by many species having a reduced N-acetylneuraminic acid (Neu5Ac) content, however, modified by fucosylation or O-acetylation such as Fuc-GM4, Fuc-GM3, di-O-Ac-GM1, O-Ac-GM3. In contrast, healthy brain tissue is dominated by longer structures exhibiting from mono- to hexasialylated sugar chains. Also, significant differences in ceramide composition were discovered. By tandem MS using collision-induced dissociation at low energies, brain metastasis-associated GD3 (d18:1/18:0) species as well as an uncommon Fuc-GM1 (d18:1/18:0) detected in the normal brain tissue could be structurally characterized. The novel protocol was able to provide a reliable compositional and structural characterization with high analysis pace and at a sensitivity situated in the fmol range.

摘要

神经节苷脂(GGs)是一种含有唾液酸的糖脂,已知其参与脑肿瘤细胞的侵袭/转移行为。开发用于确定肿瘤细胞转化过程中 GG 表达和结构变化的现代方法是生物医学分析领域的重点。在这种情况下,我们在这里报告了基于芯片的纳米喷雾(NanoMate 机器人)质谱(MS)在继发性脑肿瘤中神经节苷脂研究的首次优化和应用。在我们的工作中,从肺腺癌脑转移中提取和纯化的天然 GG 混合物通过与四极杆飞行时间 MS 耦合的 NanoMate 机器人进行筛选。从年龄匹配的健康脑组织中提取和分析的天然 GG 混合物作为对照,采用相同的条件。比较 MS 分析表明,两种组织类型的 GG 表达存在明显差异。脑转移的特征是许多具有降低的 N-乙酰神经氨酸(Neu5Ac)含量的物种,但通过岩藻糖基化或 O-乙酰化进行修饰,例如 Fuc-GM4、Fuc-GM3、二-O-Ac-GM1、O-Ac-GM3。相比之下,健康脑组织主要由具有从单到六唾液酸化糖链的较长结构组成。还发现了神经酰胺组成的显著差异。通过使用低能量碰撞诱导解离的串联 MS,可以对脑转移相关的 GD3(d18:1/18:0)物种以及在正常脑组织中检测到的异常 Fuc-GM1(d18:1/18:0)进行结构表征。该新方案能够以高分析速度和位于 fmol 范围内的灵敏度提供可靠的组成和结构表征。

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