Analytical Scheme Leading to Integrated High-Sensitivity Profiling of Glycosphingolipids Together with N- and O-Glycans from One Sample
Glycoconjugates are directly or indirectly involved in many biological processes. Due to their complex structures, the structural elucidation of glycans and the exploration of their role in biological systems have been challenging. Glycan pools generated through release from glycoprotein or glycolipid mixtures can often be very complex. For the sake of procedural simplicity, many glycan profiling studies choose to concentrate on a single class of glycoconjugates. In this paper, we demonstrate it feasible to cover glycosphingolipids, N-glycans, and O-glycans isolated from the same sample. Small volumes of human blood serum and ascites fluid as well as small mouse brain tissue samples are sufficient to profile sequentially glycans from all three classes of glycoconjugates and even positively identify some mixture components through MALDI-MS and LC-ESI-MS. The results show that comprehensive glycan profiles can be obtained from the equivalent of 500-μg protein starting material or possibly less. These methodological improvements can help accelerating future glycomic comprehensive studies, especially for precious clinical samples.
KeywordsIntegrated glycomic scheme N- and O-glycans Glycosphingolipid (GSL) glycans
Glycosylation, in its many forms and structural details, appears to play a major role in most, if not all, biological processes. It is now generally appreciated that more than 50% of all proteins are glycosylated  by the glycan structures assembled and modified through the action of glycosyltransferases in the endoplasmic reticulum and Golgi apparatus and subsequently linked to their respective conjugating counterparts. It is further estimated that some 250–500 genes in the human genome are directly involved in the overall glycosylation process, giving rise to a huge variety of possible glycan structures [2, 3]. Since glycosylation appears distinct for different cell types and their biological status, it is imperative that glycomic measurements address the extent of such structural variations over an extensive concentration range. Glycosylation complexity in glycolipids can also be substantial. Depending on a cell type, up to 10% of glycosphingolipids can be encountered in the lipid fractions of different cellular materials .
The general biological importance of glycosylation has made it an increasingly popular target to access biomarkers in stem cells [5, 6, 7] and human diseases [8, 9, 10, 11, 12], all typically requiring to handle small biological specimens. The high sensitivity and specificity of the corresponding glycomic profiling measurements are currently best assured through the use of modern mass spectrometry (MS) and/or its combination with capillary separation techniques [13, 14, 15, 16, 17, 18]. During the recent years, there has also been a remarkable progress made in combining these measurement techniques with advances in sample preparation and microderivatization methodologies [19, 20, 21, 22, 23, 24]. However, there are only a few methods reported for isolating different classes of glycoconjugates from the same sample. Notably, Fujitani et al.  developed a method to isolate most major glycans from human stem cell samples through the use of glycoblotting; however, two separate extraction procedures still had to be performed for free oligosaccharide/N-glycans/O-glycans and glycosphingolipids/glycosaminoglycans. Some other methods [26, 27] opted to combine an isolation procedure to determine both N- and O-glycans through MS analyses. To the best of our knowledge, no attempt has been reported toward a sequential isolation of glycosphingolipids, N-glycans, and O-glycans from the same biological material performed at microscale.
The remarkable detection performance of MS measurements now permits determinations of glycoconjugates from extremely small biological samples, as exemplified by profiling N-glycans from low-microliter volumes of blood sera  and O-glycans from milligrams of mucosal biopsies . However, the bottleneck of highly sensitive measurements is often in the effective microscale cleavage of glycoconjugates and their extraction and purification prior to analysis. For the sake of enhanced MS detection, sensitivity, and information content, the glycoconjugates can further be derivatized through the use of quantitative permethylation [29, 30]. To enable the sequential acquisition of the glycan profiles from glycosphingolipids, N-oligosaccharides, and O-oligosaccharides from the same samples, we examined here the possibility of combining the acetone precipitation , which extracts nonpolar glycolipids from the glycosylated proteins, with other effective procedures pursued by our laboratory. A further use of centrifugal filtration  in concert with the previously established glycan cleavage procedures enables us to obtain three complementary glycan profiles from minute volumes of physiological fluids or small tissue samples. The utility of this “combined approach” is demonstrated here with the examples of human blood serum, ascites fluids, and a small tissue sample of the mouse cortex.
Human serum was received from Bioreclamation LLC (Westbury, NY) and the ascites fluids from Indiana University School of Medicine, Indianapolis (courtesy of Dr. Daniela Matei, Indiana University School of Medicine, Indianapolis, IN). Mouse tissues were obtained from Dr. Sachiko Koyama (Indiana University School of Medicine, Medical Sciences Program, Bloomington, IN).
Trifluoroacetic acid and HPLC grade water, acetonitrile, and methanol were purchased from EMD Chemicals (Gibbstown, NJ). Chloroform, acetic acid, and acetone were obtained from Macron Fine Chemicals (Center Valley, PA). Sodium hydroxide beads, 20–40-mesh size, and methyl iodide were acquired from Sigma-Aldrich (St. Louis, MO). Dimethylformamide and sodium chloride were purchased from Mallinckrodt (St. Louis, MO). The following enzymes with their sources are as follows: N-glycanase/PNGase F (Prozyme, Hayward, CA), pronase (Roche, Indianapolis, IN), porcine trypsin (Sigma-Aldrich, St. Louis, MO), and endoglycoceramidase II (rEGCase II) enzyme (Takara Bio USA, Mountain View, CA). 2,5-Dihydroxybenzoic acid (2,5-DHB) was received from Alfa Aesar (Ward Hill, MA).
Empty reaction vessels and Micro SpinColumns with different matrixes (active charcoal, C8, C18, amine) were purchased from Harvard Apparatus (Holliston, MA). Amicon Ultra-0.5 Centrifugal Filter Unit with Ultracel-10 membrane was from EMD Millipore (a part of Millipore Sigma, Billerica, MA).
The acetone precipitation procedure followed the protocol of Gizaw et al.  with some modifications. Acetone precipitation was performed in order to extract and separate glycosphingolipids and other nonpolar molecules from the proteins. Some less polar proteins could potentially be at risk of ending up in the supernatant, but glycoproteins are generally quite polar due to the presence of sugar moieties.
Ice-cold acetone was added to the samples in 4:1 ratio while being vortexed. After 1 min of sonication in a water bath, the samples were placed at – 80 °C for 2 h. After the following centrifugation at 14,000 ×g for 15 min (4 °C), the supernatants, containing nonpolar components, including glycosphingolipids and other lipids, were collected. The pellets of precipitated proteins were washed with 400-μL ice-cold acetonitrile, vortexed, and centrifuged at 14,000 ×g for 15 min (4 °C). The supernatants were collected and pooled with the acetone supernatants to be dried in a CentriVap concentrator (Labconco, Kansas City, MO). The pellets were air-dried for 5 min and then stored in a freezer prior to N- and O-glycan analysis.
The dried supernatants from the acetone precipitation, containing glycospingolipids, were purified by C8 Micro SpinColumns as previously described by Garcia et al. , with some modifications. This purification was performed to separate other lipid constituents from the more polar glycosphingolipids. There is some risk of losing the more nonpolar glycosphingolipids such as the monoglycosylceramides; however, their glycans are too small to be detected by the current state-of-the-art MS and can be momentarily ignored within the scope of our studies.
The columns were washed with 3 × 400-μL methanol and centrifuged at 400 ×g for 30 s. Subsequently, the columns were conditioned with 2× 400-μL 6:4 methanol:water and centrifuged at 200 ×g for 2 min. The dried supernatants were diluted in 200-μL 6:4 methanol:water, added to the columns, and centrifuged at 200 ×g for 2 min. The eluates were then added to the columns again and centrifuged. The samples were washed with 3× 200-μL 6:4 methanol:water, centrifuged at 200 ×g for 2 min, and then eluted by adding 200-μL methanol to the columns and centrifuged for ~ 10 s at 200 ×g before letting the column equilibrate for 10 min. Then, the columns were centrifuged at 200 ×g for 2 min; another 200-μL methanol was added and centrifuged at 200 ×g for 2 min. The eluates were dried by a CentriVap concentrator.
The enzymatic cleavage of the glycosphingolipids was done with the recombinant endoglycoceramidase II (rEGCase II) enzyme, similarly to the previously described procedure , with some modifications to the desalting procedure. To each sample, 70-μL water, 10-μL 50-mM sodium acetate (pH 5), and 10-μL 2-mg/mL sodium deoxycholate were added. The mixtures were vortexed prior to addition of 10-μL rEGCase II preparation diluted 1:4 in 50-mM sodium acetate buffer (2 mU) and left at 37 °C for ≥ 16 h. After incubation, the Folch partitions were performed by adding 200-μL water, 400-μL methanol, and 800-μL chloroform. The mixtures were vortexed and left equilibrating for 2 h, then centrifuged at 100 ×g for 1 min. The upper glycan-containing phases were collected and dried by CentriVap concentrator, while the lower phase containing the nonpolar ceramides could be discarded. The upper phases were desalted by active charcoal Micro SpinColumns. The columns were washed three times with solution B (85%/15%/0.1% acetonitrile/water/trifluoroacetic acid) and centrifuged at 400 ×g for 2 min. This was followed by washing the columns three times with solution A (5%/95%/0.1% acetonitrile/water/trifluoroacetic acid) and centrifuged at 400 ×g for 2 min. Subsequently, the samples were dissolved in 250-μL solution A, vortexed, loaded onto the columns, and centrifuged for 2 min at 400 ×g. The collected flowthroughs were reapplied to the columns and centrifuged for 2 min at 400 ×g. This step was repeated one more time. Subsequently, the columns were washed with 2 × 200-μL solution A and centrifuged for 2 min at 400 ×g. Samples were eluted with 200-μL 50%/50%/0.1% acetonitrile/water/trifluoroacetic acid into new centrifuge tubes. The columns were centrifuged briefly for 15 s at 400 ×g and were left to equilibrate for ~ 10 min, then centrifuged at 400 ×g for 2 min. Another 200-μL 50%/50%/0.1% acetonitrile/water/trifluoroacetic acid was added and centrifuged for 1.5 min at 800 ×g. The 50%/50%/0.1% acetonitrile/water/trifluoroacetic acid eluates were pooled and dried in a CentriVap concentrator. The glycosphingolipid oligosaccharide recovery was followed by reduction and permethylation, as described below.
The N-glycan denaturation and release were performed as previously described . To the acetone precipitation pellets, 200-μL 10-mM sodium phosphate buffer (pH 7.5) with 0.1% SDS was added, followed by vortexing and incubation at 37 °C for 10 min. The pellets were dissolved by pipetting, β-mercaptoethanol (0.1%), which was added prior to incubation at 60 °C for 30–60 min. After incubation, the samples were cooled to room temperature before adding 10-μL 10% Nonidet P-40 solution. The mixtures were equilibrated for 10 min at room temperature, followed by addition of 0.5-mU of PGNase F and incubation at 37 °C for ≥ 16 h.
The dried N-glycan samples were desalted by active charcoal SpinColumns. The columns were washed 3× with solution B (85%/15%/0.1% acetonitrile/water/trifluoroacetic acid), centrifuged at 400 ×g for 2 min, followed by washing the columns 3× with solution A (5%/95%/0.1% acetonitrile/water/trifluoroacetic acid), and centrifuged at 400 ×g for 2 min. Subsequently, the N-glycan samples were dissolved in 250-μL solution A, vortexed, loaded onto the columns, and centrifuged for 2 min at 400 ×g. The flowthroughs were collected, reapplied to the columns, and centrifuged for 2 min at 400 ×g. This step was then repeated one more time before washing the column with 2× 200-μL solution A and centrifuged for 2 min at 400 ×g. New centrifuge tubes were used and 200-μL 50%/50%/0.1% acetonitrile/water/trifluoroacetic acid was added to elute the N-glycans. First, the columns were centrifuged briefly for 15 s at 400 ×g, permitting them to equilibrate for ~ 10 min and then centrifuged at 400 ×g for 2 min. Subsequently, another 200-μL 50%/50%/0.1% acetonitrile/water/trifluoroacetic acid was added and centrifuged for 1.5 min at 800 ×g. The two 50%/50%/0.1% acetonitrile/water/trifluoroacetic acid eluates were pooled and dried in a CentriVap concentrator. The N-glycan preparation was continued by reduction and permethylation as described later.
The protein fractions obtained with the aid of spin filter columns were supplemented with 5-μg trypsin and left at room temperature for 4 h. Subsequently, 20-μg pronase was added and incubated at 55 °C for 48 h. The O-glycosylated peptides were purified by amino Ultra SpinColumns (Harvard Apparatus) as described previously . The columns were washed 3× with buffer B (10%/90%/0.1% acetonitrile, water, trifluoroacetic acid) and 3× with buffer A (90%/10%/0.1% acetonitrile, water, trifluoroacetic acid) and centrifuged for 1 min at 200 ×g. Two hundred fifty-microliter volumes of buffer A were added to the digested protein samples and vortexed before applying samples to the columns. The columns were centrifuged for 1 min at 200 ×g; the flowthroughs were collected and reapplied to the column. The samples were reapplied and centrifuged two more times to ensure retention on the column. Following that, the columns were washed with 2× 300-μL buffer A and centrifuged for 1 min at 200 ×g. The O-glycopeptide fractions were eluted by adding 300-μL buffer B, centrifuged at 200 ×g for ~ 10 s, left equilibrating for 10 min, then centrifuged for 1 min at 200 ×g. Another 300-μL buffer B was added and centrifuged for 1.5 min at 800 ×g. The two buffer B eluate fractions were pooled and dried by a CentriVap concentrator.
The O-glycopeptides were permethylated (see Permethylation section below) the same way as glycosphingolipid oligosaccharides and N-glycans. However, the permethylation was also used here to release the O-glycans from the peptides  and the glycans were thus not reduced first.
Reduction was performed as previously described . The glycosphingolipid and N-glycan samples were subjected to this procedure by adding 10 μL of 10-mg/mL aqueous borane-ammonia complex, vortexing, briefly spinning down the samples, and then incubating them at 60 °C for 1 h. The samples were cooled to room temperature and, after 100-μL methanol was added, they were dried in a CentriVap concentrator. Another 100-μL methanol was added, dried, and repeated once more to remove remaining borane-ammonia complex. The sample preparation continued with permethylation, as described below.
Permethylation was carried out as previously described . First, the permethylation reactors were created by taking a 20-mL glass vial, filled with roughly one fourth with NaOH beads, and followed with acetonitrile. By using a cut 1-mL pipette tip, the NaOH beads were transferred to empty Micro SpinColumns (Harvard Apparatus). Approximately three fourths of the column volume was filled up with the NaOH beads. The columns were centrifuged at 200 ×g for 1 min to remove acetonitrile and then washed with 3× ~ 300-μL DMF (dimethylformamide) and centrifuged for 1 min at 200 ×g.
The reduced glycan samples were supplemented with 5-μL water, vortexed, and centrifuged for 30 s at 600 ×g. Next, 65-μL DMF and 35-μL methyl iodide were added to the samples and mixed. The samples were applied onto the permethylation reactors, and the reactors were put in the original sample centrifugation tubes, which were sealed by putting a cap on them. The reactors were set horizontally, slightly elevated, and left to react for 20 min. Afterwards, the caps were removed and the permethylation reactors were centrifuged for 1.5 min at 200 ×g. The flowthroughs were reapplied to the reactors after 35-μL methyl iodide was added and mixed. Caps were used to close the reactors and they were set horizontally, slightly elevated, and left to react for another 20 min. The caps were removed and reactors were centrifuged for 1.5 min at 2,300 ×g. Then, 400-μL chloroform and 1-mL 0.5-M NaCl were added to the flowthroughs and shaken gently by hand for 2 min before centrifuging the samples at 600 ×g for 30 s. The upper aqueous phases were discarded and 1-mL water was added to the lower chloroform phases. The mixtures were gently shaken by hand for 2 min and centrifuged for 30 s at 600 ×g. The upper aqueous phases were discarded again, while 1-mL water was added and gently shaken by hand for 2 min. The mixtures were centrifuged for 30 s at 600 ×g and the upper aqueous phases were discarded. The chloroform phases were dried in a CentriVap concentrator and stored in a freezer until analysis.
Mass Spectrometric Analyses
The permethylated glycosphingolipid-derived oligosaccharides, N-glycan, and O-glycan preparations were dissolved in 5-μL 50%/50% methanol/water solution. Half-microliter samples were spotted onto a MALDI plate and left to dry for 10 min. Next, 0.5 μL of the matrix (10 mg/mL DHB in 50%/50% methanol/water) with a final concentration of 1-mM sodium acetate was added on top of the spots and dried under vacuum for 2 min. The spots were examined by an Applied Biosystems 4800 MALDI-TOF/TOF mass spectrometer (ABSciex, LLC, Framingham, MA) in the positive-ion reflector mode. The laser intensity was set to 4100 with a light intensity of 20 (arbitrary units). Obtained spectra were processed through baseline correction and noise filter (0.7) using the software Data Explorer (ABSciex, LLC). The proportion of each glycan was normalized as total percentage of the intensity of all glycans.
Permethylated glycans were chromatographically separated using a Waters Acquity UPLC M-class system (Waters Corporation, Milford, MA) and detected with a Finnigan LTQ linear ion trap (Thermo Electron Co., San Jose, CA) equipped with a nanoelectrospray source. Briefly, the glycolipid-originated glycans and O-glycans were dissolved in 20–100-μL 1:1 H2O:acetonitrile and 1 μL (equivalent to ~ 10-μg protein starting material) sample was loaded and separated on a 200 × 0.075-mm capillary column packed in-house with 3-μm porous graphitized carbon particles (Hypercarb, Thermo Scientific, Runcorn, UK) with an increasing concentration of acetonitrile (buffer A H20 0.1% formic acid; buffer B acetonitrile 0.1% formic acid). The gradient was performed with a flow of 0.5-μL/min at 75 °C in a stepwise manner: 0–10 min at 10% B, 10–40 min 10–30% B, 40–70 min 30–60% B, 70–100 min 60–100% B, 100–120 min 100% B, 120-130 min 100–10% B, and 130–150 min 10–10% B. The ions were detected in the positive-ion mode with a spray voltage set to 2.0 kV. The aliquots of permethylated N-glycans were separated on the carbon columns with an increasing concentration of isopropanol (buffer A H20 0.1% formic acid; buffer B isopropanol 0.1% formic acid) prior to MS detection with more gentle ionization settings, essentially as described by Smith et al. . Briefly, the capillary temperature was reduced from 300 to 150 °C and the tube voltage was reduced from 210 to 55 V. The gradient was performed with a flow of 0.5 μL/min at 75 °C in a stepwise manner: 0–10 min at 20% B, 10–40 min 20–50% B, 40–70 min 50–70% B, 70–100 min 70–95% B, 100–120 min 95% B, 120-130 min 95–20% B, and 130–180 min 20% B.
The MALDI mass spectra were baseline-corrected; a noise filter was applied and exported to text files. The data were normalized (percentage of ion intensities for all glycans listed in a peak list file) with PeakCalc v.2.0 (in-house developed software). After normalization, the data from three spots were averaged and used for statistical analysis using PeakCalc 2.0 and Microsoft Excel 2013 (Microsoft, WA). The LC-ESI-MS raw files were visualized with Xcalibur software 2.0.7 (Thermo Scientific). GlycoWorkbench software  was used for drawing of glycan cartoons and annotation of MS/MS spectra. LC-MS figures were drawn in Illustrator (Adobe Systems, San Jose, CA), while the graphs were made with Microsoft Excel and Microsoft Powerpoint.
Results and Discussion
Among the most important goals of glycoscience is to provide highly sensitive and structurally informative analytical techniques for a wide range of investigators in biological and medical fields. While the real complexity of glycomes can be overwhelming, independent profiling of N-glycans, O-glycans, and glycosphingolipid-derived glycans has been mostly enabled by advances in MS and its related techniques of separation science and microderivatization, which ultimately could be combined to achieve very high sensitivity. Such glycan profiles provide the first-hand information about differences between controls and variations of different biological experiments or the clinical samples obtained from control patients vs. disease individuals in biomarker discovery studies. For example, MALDI-MS glycan profiling may generate a set of tentatively assigned structures, annotated according to their m/z values. Depending on the goals of a particular investigation, more precise structural investigations through MS/MS may be feasible for major glycan profile components. However, for selected minor profile components, specific enrichment techniques may still be required for their positive identification.
The main objective of this study was to develop a protocol to consecutively release and profile glycans from three main classes of glycoconjugates: glycosphingolipids, N-glycans, and O-glycans.
To test the feasibility of this protocol for both tissues and biological fluids, three different types of biological materials were arbitrarily examined: human blood serum, human ascites fluid, and mouse brain cortex. A complete and definitive structural assignment of all glycan components in these samples was not yet within our scope, although we were able to confirm structurally most glycans identified in our previous studies. Moreover, we demonstrate, through selected examples, the feasibility of in-depth studies of the corresponding glycan pools. It should be noted that no large amounts of glycosphingolipids were expected to be found in serum or ascites fluid, as these components are mainly found in cellular membranes. However, some minor amounts could potentially be detected in sera and ascites fluids due to cell “shedding” in the form of, for example, micelles . The samples were analyzed in a parallel triplicate of each sample type. Five hundred-microgram protein starting material was used for each human ascites fluid and the mouse cortex samples, while 50 μL of human blood serum was employed for extraction.
It should be noted that the primary purpose of this methodologically oriented study was to demonstrate the feasibility of recording sequentially three different glycoconjugate groups originated from different types of biological specimens. The following figures and graphs are thus not intended to compare them with each other, and any structural or quantitative similarities thus may be entirely coincidental. The acquired glycan profiles, however, all demonstrate the merits of this overall analytical scheme and its compatibility with the current MS detection approaches, although the absolute structural identification of some tentatively assigned components remains to be a task of future studies.
Only a few O-glycans, out of more than 50 detected, reached a relative abundance level above 1%, with the majority thus being detected at very low levels. Two glycans were detected above 1% in all three samples; namely, tentatively identified sialyl-T (NeuAcα2-3Galβ1-3GalNAc, m/z 879.4)) and di-sialyl-T (NeuAcα2-3Galβ1-3(NeuAcα2-6-)GalNAc, m/z 1240.6) (Figure 3).
The different samples show an inverse relationship between sialyl-T and di-sialyl-T, probably due to differences in the activity of ST6GalNAc III and IV sialyltransferases, which use the sialyl-T as a substrate to add a sialic acid to the GalNAc in a α2–6 linkage , thus depleting the substrate sialyl-T. A number of core-mannosylated O-glycans could be detected in relatively high abundance in the mouse cortex, including tentative core M1-based Sia-Hex-HexNAc-Hex (m/z 1083.5) and Sia-Hex-(Sia)HexNAc-Hex (m/z 1444.7) as well as the core M2-based Sia-Hex-HexNAc(Sia-Hex-HexNAc)-Hex (m/z 1893.9). The sequences of the mannosylated structures were further confirmed through LC-MS/MS, exemplified with the pentasaccharide Sia-Hex-(Sia)HexNAc-Hex, as will be shown below in the LC-MS analysis section. The cortex sample also contained a few more glycans above the 1% mark, including tentative core 1 (m/z 518.2) and fucosylated core 1 (m/z 692.3) and fucosylated (m/z 1141.6) and sialylated/extended core 2 (m/z 1328.6) structures. Since the O-glycans are released and derivatized after a microfiltration step that removes released N-glycans, there is a potential risk that some proteins could be lost if the cut-off is not appropriately chosen. In this communication, we used 10-kDa MWCO filters which should retain glycoproteins in serum (most glycoproteins are larger than this , while retaining acceptable filtration speed compared to other procedures.
While MALDI-MS combines here conveniently with permethylation in profiling different glycan groups at high sensitivity, this approach falls short of identifying isomeric structures, unless additional derivatization is performed as was, for example, previously shown for the case of sialylated N-glycans [24, 53, 54]. Unfortunately, this step does not fit our overall analytical scheme and additional approaches must be developed. When using LC-ESI-MS techniques, the isomerism problem can sometimes be addressed through the use of appropriately chosen (selective) LC-columns that may resolve isomeric species. However, once the glycans of interest are permethylated, the choice of selectivity-based separations becomes limited, with the possible exception of graphitized carbon columns .
In this work, we also observe that the permethylated sialyl-T structure was chromatographically separated into several peaks which were indistinguishable from each other when based on their MS/MS fragments (see Figure 5 for chromatograms, MS/MS data not shown). The different peaks may represent reducing-end α- and β-anomer glycans, which can be separated in a native form on such columns.
Overall, the LC-MS profiles appear less abundant in comparison to the MALDI-MS data. We do not readily have explanation for this, except that some polymeric contaminants (inadvertently introduced into the samples through the extraction steps  might increase the baseline noise.
While the analysis of permethylated glycans yields a good signal in MS, a downside with permethylation is that the sulfated structures become suppressed . This could potentially be avoided by using other types of derivatization or simply analyzing the glycans in their native or reduced form. The O-glycans could then be released by the more commonly used β-elimination [60, 61], but this is likely to necessitate much larger initial samples.
There is still a considerable need to arrive at precise glycan structures for the benefits of their functional understanding. Whereas the analyses of N-glycans from the glycoproteins contained in physiological fluids and tissues have been enhanced significantly during the last decades due to MS advances, the same does not hold for the methodologically more demanding O-glycans and glycolipids. In the analyses of complex biological mixtures, MALDI-MS of permethylated glycans permits a fairly comprehensive profiling of structures at high sensitivity and respectable dynamic concentration range. As shown in this communication, a sequential isolation of N- and O-glycans, together with the glycans originated from glycosphingolipids, can now be performed from a single biological sample. The described protocol basically preserves performance and analytical advantages of MALDI/MS-based glycan profiling when performed separately for three glycan groups. The results of high-sensitivity profiling typically yield suggested cartoon structures matching their expected m/z ratios. However, additional avenues toward a more complete in-depth structural elucidation must still be developed. These will undoubtedly need to perform additional preconcentration steps prior to MS investigations. We have shown here selected examples of isomeric resolution of permethylated glycans in the LC-MS runs using graphitized carbon columns. Overall, our analytical scheme appears suitable for profiling studies seeking a fuller coverage of different glycomes.
We thank Dr. Sachiko Koyama for providing the mouse tissue samples, Dr. Daniela Matei for providing the ascites fluids, and Dr. Helena Soini for help in preparing the manuscript. Reporting on experimental details has been prepared in accordance with MIRAGE (the Minimum Information Required for a Glycomics Experiment) sample preparation (http://doi.org/10.3762/mirage.1) and MS guidelines (http://doi.org/10.3762/mirage.2).
This work was supported by the grants from the National Institute of General Medical Sciences, U.S. Department of Health (NIH R21GM118340 and NIH R01GM106084).
- 5.Barone, A., Säljö, K., Benktander, J., Blomqvist, M., Månsson, J.-E., Johansson, B.R., Mölne, J., Aspegren, A., Björquist, P., Breimer, M.E., Teneberg, S.: Sialyl-lactotetra, a novel cell surface marker of undifferentiated human pluripotent stem cells. J. Biol. Chem. 289, 18846–18859 (2014)CrossRefPubMedPubMedCentralGoogle Scholar
- 7.Natunen, S., Satomaa, T., Pitkanen, V., Salo, H., Mikkola, M., Natunen, J., Otonkoski, T., Valmu, L.: The binding specificity of the marker antibodies Tra-1-60 and Tra-1-81 reveals a novel pluripotency-associated type 1 lactosamine epitope. Glycobiology. 21, 1125–1130 (2011)CrossRefPubMedGoogle Scholar
- 8.Snyder, C.M., Alley Jr., W.R., Campos, M.I., Svoboda, M., Goetz, J.A., Vasseur, J.A., Jacobson, S.C., Novotny, M.V.: Complementary glycomic analyses of sera derived from colorectal cancer patients by MALDI-TOF-MS and microchip electrophoresis. Anal. Chem. 88, 9597–9605 (2016)CrossRefPubMedPubMedCentralGoogle Scholar
- 12.Mann, B.F., Goetz, J.A., House, M.G., Schmidt, C.M., Novotny, M.V.: Glycomic and proteomic profiling of pancreatic cyst fluids identifies hyperfucosylated lactosamines on the N-linked glycans of overexpressed glycoproteins. Mol. Cell. Proteomics. 11, M111.015792 (2012)CrossRefPubMedPubMedCentralGoogle Scholar
- 20.Bladergroen, M.R., Reiding, K.R., Hipgrave Ederveen, A.L., Vreeker, G.C., Clerc, F., Holst, S., Bondt, A., Wuhrer, M., van der Burgt, Y.E.: Automation of high-throughput mass spectrometry-based plasma N-glycome analysis with linkage-specific sialic acid esterification. J. Proteome Res. 14, 4080–4086 (2015)CrossRefPubMedGoogle Scholar
- 22.Sun, S., Shah, P., Eshghi, S.T., Yang, W., Trikannad, N., Yang, S., Chen, L., Aiyetan, P., Hoti, N., Zhang, Z., Chan, D.W., Zhang, H.: Comprehensive analysis of protein glycosylation by solid-phase extraction of N-linked glycans and glycosite-containing peptides. Nat. Biotechnol. 34, 84–88 (2016)CrossRefPubMedGoogle Scholar
- 25.Fujitani, N., Furukawa, J.-I., Araki, K., Fujioka, T., Takegawa, Y., Piao, J., Nishioka, T., Tamura, T., Nikaido, T., Ito, M., Nakamura, Y., Shinohara, Y.: Total cellular glycomics allows characterizing cells and streamlining the discovery process for cellular biomarkers. Proc. Natl. Acad. Sci. U. S. A. 110, 2105–2110 (2013)CrossRefPubMedPubMedCentralGoogle Scholar
- 26.Babu, P., North, S.J., Jang-Lee, J., Chalabi, S., Mackerness, K., Stowell, S.R., Cummings, R.D., Rankin, S., Dell, A., Haslam, S.M.: Structural characterisation of neutrophil glycans by ultra sensitive mass spectrometric glycomics methodology. Glycoconj. J. 26, 975 (2008)CrossRefPubMedCentralGoogle Scholar
- 28.Karlsson, H., Larsson, J.M.H., Thomsson, K.A., Härd, I., Bäckström, M., Hansson, G.C.: High-throughput and high-sensitivity nano-LC/MS and MS/MS for O-glycan profiling. In: Packer, N.H., Karlsson, N.G. (eds.) Glycomics: methods and protocols. Humana Press, Totowa (2009)Google Scholar
- 31.Gizaw, S.T., Ohashi, T., Tanaka, M., Hinou, H., Nishimura, S.: Glycoblotting method allows for rapid and efficient glycome profiling of human Alzheimer’s disease brain, serum and cerebrospinal fluid towards potential biomarker discovery. Biochim. Biophys. Acta. 1860, 1716–1727 (2016)CrossRefPubMedGoogle Scholar
- 40.Alley, W.R., Vasseur, J.A., Goetz, J.A., Svoboda, M., Mann, B.F., Matei, D.E., Menning, N., Hussein, A., Mechref, Y., Novotny, M.V.: N-linked glycan structures and their expressions change in the blood sera of ovarian cancer patients. J. Proteome Res. 11, 2282–2300 (2012)CrossRefPubMedPubMedCentralGoogle Scholar
- 43.Thaysen-Andersen, M., Venkatakrishnan, V., Loke, I., Laurini, C., Diestel, S., Parker, B.L., Packer, N.H.: Human neutrophils secrete bioactive paucimannosidic proteins from azurophilic granules into pathogen-infected sputum. J. Biol. Chem. 290, 8789–8802 (2015)CrossRefPubMedPubMedCentralGoogle Scholar
- 44.Sethi, M.K., Kim, H., Park, C.K., Baker, M.S., Paik, Y.K., Packer, N.H., Hancock, W.S., Fanayan, S., Thaysen-Andersen, M.: In-depth N-glycome profiling of paired colorectal cancer and non-tumorigenic tissues reveals cancer-, stage- and EGFR-specific protein N-glycosylation. Glycobiology. 25, 1064–1078 (2015)CrossRefPubMedGoogle Scholar
- 45.Balog, C.I., Stavenhagen, K., Fung, W.L., Koeleman, C.A., McDonnell, L.A., Verhoeven, A., Mesker, W.E., Tollenaar, R.A., Deelder, A.M., Wuhrer, M.: N-glycosylation of colorectal cancer tissues: a liquid chromatography and mass spectrometry-based investigation. Mol. Cell. Proteomics. 11, 571–585 (2012)CrossRefPubMedPubMedCentralGoogle Scholar
- 47.Takashima, S., Kurosawa, N., Tachida, Y., Inoue, M., Tsuji, S.: Comparative analysis of the genomic structures and promoter activities of mouse Siaalpha2, 3 Galbeta1, 3GalNAc GalNAcalpha 2, 6-Sialyltransferase genes (ST6GalNAc III and IV): characterization of their Spl binding sites. J. Biochem. 127, 399–409 (2000)CrossRefPubMedGoogle Scholar
- 49.Ito, M., Yamagata, T.: Purification and characterization of glycosphingolipid-specific endoglycosidases (endoglycoceramidases) from a mutant strain of Rhodococcus sp. evidence for three molecular species of endoglycoceramidase with different specificities. J. Biol. Chem. 264, 9510–9519 (1989)PubMedGoogle Scholar
- 53.Holst, S., Heijs, B., de Haan, N., van Zeijl, R.J., Briaire-de Bruijn, I.H., van Pelt, G.W., Mehta, A.S., Angel, P.M., Mesker, W.E., Tollenaar, R.A., Drake, R.R., Bovee, J.V., McDonnell, L.A., Wuhrer, M.: Linkage-specific in situ sialic acid derivatization for N-glycan mass spectrometry imaging of formalin-fixed paraffin-embedded tissues. Anal. Chem. 88, 5904–5913 (2016)CrossRefPubMedGoogle Scholar
- 58.Rehulka, P., Zahradnikova, M., Rehulkova, H., Dvorakova, P., Nenutil, R., Valik, D., Vojtesek, B., Hernychova, L., Novotny, M.V.: Microgradient separation technique for purification and fractionation of permethylated N-glycans before mass spectrometric analyses. J. Sep. Sci (2018). https://doi.org/10.1002/jssc.201701339
- 59.Lei, M., Mechref, Y., Novotny, M.V.: Structural analysis of sulfated glycans by sequential double-permethylation using methyl iodide and deuteromethyl iodide. J. Am. Soc. Mass Spectrom. 20, (1660-1671)Google Scholar