One of the principal goals of glycoprotein research is to correlate glycan structure and function. Such correlation is necessary in order for one to understand the mechanisms whereby glycoprotein structure elaborates the functions of myriad proteins. The accurate comparison of glycoforms and quantification of glycosites are essential steps in this direction. Mass spectrometry has emerged as a powerful analytical technique in the field of glycoprotein characterization. Its sensitivity, high dynamic range, and mass accuracy provide both quantitative and se-

In human tumors, glycoproteins often exhibit abnormal glycosylation patterns, e.g. certain Lewis structures, TF antigen, Tn antigen and/or their sialylated forms, creating additional binding sites for glycoreceptors. In the present study, we have analyzed the carbohydrate specificity of the C-type lectin CLEC10A using glycan profiling by enzyme-linked immunosorbent assay (ELISA). In addition to the known ligands, we show binding to two tumor-associated antigens, namely Neu5Acα2,6-Tn and Neu5Gcα2,6-Tn, with an affinity of CLEC10A in the micromolar range. Detailed analyses of the glycan-lectin interactions were carried out by surface plasmon resonance (SPR) and saturation transfer difference (STD) NMR. CLEC10A binds Neu5Acα2,6-Tn and Neu5Gcα2,6-Tn with dissociation constants of 297 and 80 µM, respectively, as determined by SPR. Comparison of the STD nuclear magnetic resonance (NMR) binding epitopes of Tn and Neu5Acα2,6-Tn revealed a constant binding mode of the N-acetylgalactosamine moiety. This finding is in good agreement with binding studies of CLEC10A transfectomas, which show a well-defined interaction of transmembrane CLEC10A with 6-sialylated-Tn structures. Since both Neu5Acα2,6-Tn and Neu5Gcα2,6-Tn together with the previously known Tn antigen are expressed in human tumors such as mammary carcinoma, the interaction with CLEC10A expressed by macrophages and dendritic cells could be of major functional significance in tumor progression.

Glycans are important modulators of the biological function of proteins and are normally characterized from proteolytic glycopeptides or from (N-)glycans released enzymatically by glycosidase treatment or chemically by hydrazinolysis. We demonstrate that glycan compositions can easily be determined directly by LC-ESI/TOF-MS from intact glycoproteins even with a very complex glycosylation pattern. Interpretation of isotopically resolved mass spectra of prostate specific antigen (PSA) using bioinformatics tools gives within a few hours the glycan compositions of 38 glycoforms.

The structure of glycans from glycoproteins is highly relevant for their function. We tightly integrate liquid chromatography-mass spectrometry (LC-MS), MS/MS, and nuclear magnetic resonance (NMR) data to achieve a complete characterization of even isobaric glycans differing in only one linkage position or in the substitution in one branch. As example, we analyzed ten desialylated underivatized glycans from bovine fibrinogen. The molecules were separated on a PGC column, and LC-MS data allowed an assignment of the compositions of the glycans. MS/MS data of the same glycans allowed elucidation of sequence and to some extent of branching and linkage. All MS/MS fragmentation methods led to multiple dissociations, resulting in several cases in ambiguous data. The MS/MS data were interpreted both by scientists and automatically by software, and the differential results are compared. Additional data from a tight integration of LC-MS and NMR data resulted in a complete structural characterization of the glycans. The acquisition of simple 1D (1)H NMR data led--in combination with LC-MS and MS/MS data--to an unambiguous assignment of the isobaric glycans. Compounds that were not separated in the chromatography could easily be assigned structurally by applying the 3D cross-correlation (3DCC) technology to arrive at NMR spectra of the pure components-without actually separating them. By applying LC-MS, MS/MS, 1D (1)H NMR, and 3DCC together, one can assign glycan structures from glycoconjugates with high confidence affording only 200 pmol of glycan material.

Chromatographic overlap is a common problem in the analysis of complex mixtures. As a result, it is not possible to identify the components because each resulting NMR or MS spectrum contains multiple components. We introduce three-dimensional cross correlation (3DCC) that dissects NMR spectra of a mixture into spectra of the individual components without actually separating them. Correlation of peaks from MS and NMR profiles along a common LC time domain yields 3DCC NMR spectra of pure components correlated with a mass and a retention time. The method requires an LC run followed by fractionation and recording of MS and NMR spectra. The method is applicable to mixtures of any classes of molecules. Here, we demonstrate its application to a mixture of complex glycans obtained from a glycoprotein. Fourteen glycans eluting within only 3 min showed heavy overlap in the chromatographic run. 3DCC allowed their direct characterization without separation. Some of these structures from the glycoprotein bovine fibrinogen had not previously been described. The 3DCC procedure has been implemented in standard software. Actually, 3DCC can be used for any combination of separation techniques, like LC or GC, combined with two characterization methods like UV, IR, Raman, NMR or MS.