Department of Chemical and Biological Sciences, Aurel Vlaicu University of Arad, Revolutiei Blvd. 77, RO-310130, Arad, Romania.
J Am Soc Mass Spectrom. 2011 Dec;22(12):2145-59. doi: 10.1007/s13361-011-0250-5. Epub 2011 Oct 15.
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.
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。