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 agematched 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 Nacetylneuraminic 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 collisioninduced 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.

We report here on a preliminary investigation of ganglioside composition and structure in human hemangioma, a benign tumor in the frontal cortex (HFC) in comparison to normal frontal cortex (NFC) tissue using for the first time advanced mass spectrometric methods based on fully automated chip-nanoelectrospray (nanoESI) high-capacity ion trap (HCT) and collision-induced dissociation (CID). The high ionization efficiency, sensitivity and reproducibility provided by the chip-nanoESI approach allowed for a reliable MS-based ganglioside comparative assay. Unlike NFC, ganglioside mixture extracted from HFC was found dominated by species of short glycan chains exhibiting lower overall sialic acid content. In HFC, only GT1 (d18:1/20:0), and GT3 (d18:1/25:1) polysialylated species were detected. Interestingly, none of these trisialylated forms was detected in NFC, suggesting that such components might selectively be associated with HFC. Unlike the case of previously investigated high malignancy gliosarcoma, in HFC one modified O-Ac-GD2 and one modified O-Ac-GM4 gangliosides were observed. This aspect suggests that these O-acetylated structures could be associated with cerebral tumors having reduced malignancy grade. Fragmentation analysis by CID in MS(2) mode using as precursors the ions corresponding to GT1 (d18:1/20:0) and GD1 (d18:1/20:0) provided data corroborating for the first time the presence of the common GT1a and GT1b isomers and the incidence of unusual GT1c and GT1d glycoforms in brain hemangioma tumor.

Gangliosides (GGs), a large group of sialylated glycosphingolipids, are considered biomarkers of human brain development, aging and certain diseases. Determination of individual GG components in complex mixtures extracted from a human brain represents a fundamental prerequisite for correlating their specificity with the specialized function of each brain area. In the context of modern glycomics, detailed investigation of GG expression and structure in human brain requires a continuous development and application of innovative methods able to improve the quality of data and speed of analysis. In this work, for the first time, a high-throughput mapping and sequencing of gangliosides in human fetal brain was performed by a novel mass spectrometry (MS)-based approach developed recently in our laboratory. Three GG mixtures extracted and purified from different regions of the same fetal brain in the 36th gestational week: frontal neocortex (NEO36), white matter of the frontal lobe (FL36) and white matter of the occipital lobe (OL36) were subjected to comparative high-throughput screening and multi-stage fragmentation by fully automated chip-based nanoelectrospray ionization (nanoESI) high capacity ion trap (HCT) MS. Using this method, in only a few minutes of signal acquisitions, over 100 GG and asialo-GG species were detected and identified in the three mixtures. Obtained data revealed for the first time that differences in GG expression in human fetal brain are dependent on phylogenetic development rather than topographic factors. While a significant variation of GG distribution in NEO36 vs FL36 was observed, no significant differences in GG expression in white matter of frontal vs occipital lobe were detected. Additionally, the largest number of species was identified in NEO36, which correlates with the functional complexity of neocortex as the newest brain region. In the last stage of analysis, using MS2–MS3 molecular ion fragmentation at variable amplitudes, a NEO36-associated GD1b isomer could clearly be discriminated. Present results indicate that the combination of fully automated chipESI with HCT MS n is able to provide ultra-fast, sensitive and reliable analyses of complex lipid-linked carbohydrates from which the pattern of their expression and structure in a certain type of bio-matrix can be determined.

A strategy combining high-performance thin layer chromatography (HPTLC), laser densitometry, and fully automated chip-based nanoelectrospray (nanoESIchip) performed on a NanoMate robot coupled to QTOF-MS was developed, optimized, and for the first time applied for mapping and structural identification of gangliosides (GGs) extracted and purified from a human angioblastic meningioma specimen. While HPTLC pattern indicated only seven fractions migrating as GM3, GM2, GM1, GD3, GD1a (nLD1, LD1), GD1b, GT1b, and possibly GD2, due to the high sensitivity, mass accuracy, and ability to ionize minor species in complex mixtures, nanoESIchip-QTOF MS was able to discover significantly more GG species than ever reported in meningioma. Thirty-four distinct glycosphingolipid components of which five asialo, one GM4, nine GM3, two GM2, two GD3, nine GM1, and six GD1 differing in their ceramide compositions were identified. All structures presented long-chain bases with 18 carbon atoms, while the length of the fatty acid was found to vary from C11 to C25. MS screening results indicated also that the diversity of the expressed GM1 structures is higher than expected in view of the low proportions evidenced by densitometric quantification. Simultaneous fragmentation of meningioma-associated GM1 (d18:1/24:1) and GM1 (d18:1/24:0) by MS/MS using CID confirmed the postulated structures of the ceramide moieties and provided data on the glycan core, which document that for each of the GM1 (d18:1/24:1) and GM1 (d18:1/24:0) forms both GM1a and GM1b isomers are expressed in the investigated meningioma tissue.