Glycosylation analysis from biological samples is often challenging due to the high complexity of the glycan structures found in these samples. In the present study N- and O- glycans from human... Show moreGlycosylation analysis from biological samples is often challenging due to the high complexity of the glycan structures found in these samples. In the present study N- and O- glycans from human colorectal cancer cell lines and human plasma were analyzed using ultrahigh resolution MALDI-FTICR-MS. N-glycans were enzymatically released from cell lines and plasma proteins, whereas beta-elimination was used for the release of O-glycans from the cells. The purified samples were mass analyzed using a 15T MALDI-FTICR-MS system, with additional MS/MS (collision-induced dissociation) experiments for O-glycan identifications. A total of 104 O-glycan and 62 N-glycan compositions were observed in the spectra obtained from colorectal cancer cell line samples. In the cell line N-glycan spectra, the highest intensity signals originated from high-mannose glycans, next to the presence of various complex type glycans. Notably, in the O-glycan spectra mono- and disaccharide signals were observed, which are difficult to detect using alternative glycomic platforms such as porous graphitized carbon LC-MS. In the N-glycan spectra from plasma, isobaric species were resolved in MALDI-FTICR-MS spectra using absorption mode whereas these overlapped in magnitude mode. The use of ultrahigh resolution MALDI-FTICR-MS for the analysis of glycans in complex mixtures enables us to confidently analyze glycans in the matrix region of the spectrum and to differentiate isobaric glycan species. (C) 2019 The Authors. Published by Elsevier B.V. Show less
Plomp, R.; Haan, N. de; Bondt, A.; Murli, J.; Dotz, V.; Wuhrer, M. 2018
In-depth site-specific investigations of protein glycosylation are the basis for understanding the biological function of glycoproteins. Mass spectrometry-based N- and O-glycopeptide analyses... Show moreIn-depth site-specific investigations of protein glycosylation are the basis for understanding the biological function of glycoproteins. Mass spectrometry-based N- and O-glycopeptide analyses enable determination of the glycosylation site, site occupancy, as well as glycan varieties present on a particular site. However, the depth of information is highly dependent on the applied analytical tools, including glycopeptide fragmentation regimes and automated data analysis. Here, we used a small set of synthetic disialylated, biantennary N-glycopeptides to systematically tune Q-TOF instrument parameters towards optimal energy stepping collision induced dissociation (CID) of glycopeptides. A linear dependency of m/z-ratio and optimal fragmentation energy was found, showing that with increasing m/z-ratio, more energy is required for glycopeptide fragmentation. Based on these optimized fragmentation parameters, a method combining lower- and higher-energy CID was developed, allowing the online acquisition of glycan and peptide-specific fragments within a single tandem MS experiment. We validated this method analyzing a set of human immunoglobulins (IgA1+2, sIgA, IgG1+2, IgE, IgD, IgM) as well as bovine fetuin. These optimized fragmentation parameters also enabled software-assisted glycopeptide assignment of both N- and O-glycopeptides including information about the most abundant glycan compositions, peptide sequence and putative structures. Twenty-six out of 30 N-glycopeptides and four out of five O-glycopeptides carrying > 110 different glycoforms could be identified by this optimized LC-ESI tandem MS method with minimal user input. The Q-TOF based glycopeptide analysis platform presented here opens the way to a range of different applications in glycoproteomics research as well as biopharmaceutical development and quality control. Show less
