Analysis of Mammalian O-Glycopeptides—We Have Made a Good Start, but There is a Long Way to Go*

α-linked O-fucose modification was originally considered EGF-domain specific (). Its consensus sequence was determined as CXXGG(S/T)C and the observation of an elongated structure, NeuAcα2,6Galβ1,4GlcNAcβ1, 3Fuc has also been reported (Fig. 1A ()). The presence of the 2 Gly residues N-terminal to the site of glycosylation is not a very strict requirement. For example, Thr-3103 of Versican core protein, preceded by an Ala instead of Gly, has been detected bearing a single Fuc, as well as di- and trisaccharides (, ). Thrombospondin type 1 repeats (TSRs) also may be O-fucosylated (, ). Presently, the CX_2/3(S/T)CX₂G sequence is considered as the consensus motif (). Both consensus motifs are linked somewhat to the Cys-framework within the specified domains, and the enzymes performing the “deposition” of the core sugar unit are Protein O-fucosyl transferase-1 and −2 for EGF or TSR domains, respectively (, ). The glycan extension also follows two distinct pathways (). Fucoses on the EGF domain can be elongated to the above mentioned tetrasaccharide, whereas in TSRs only a β1,3-linked Glc is added to the core unit. Our knowledge about the biological function(s) of O-fucosylation is quite limited, though it has been implicated in protein-protein interactions, intercellular signaling and protein folding (, , ). The O-fucosylation of the IgG1 light chain has also been reported. The modified sequence does not comply with any of the consensus requirements listed above, and it features only the α-linked Fuc (). This observation suggests the existence of a different pathway.

O-Glucosylation was first described on blood clotting Factors VII and IX (, ). The β-linked Glc residue was reported to be elongated with one or two α 1,3-linked Xyl moieties (Fig. 1B ()). The modification seems to be EGF-domain-specific, Protein Z as well as thrombospondin have been reported as modified in their EGF domains (, ). Recently, both O-glucosylation and fucosylation has been reported on the EGF-like domain of AMACO, an extracellular matrix protein of unknown function (). Already the first reports speculated that there is a consensus motif for O-glucosylation: CXSXPC (). The enzyme responsible for the modification is O-glucosyltransferase Rumi (). Interestingly, Rumi also may function as protein O-xylosyltransferase (). The exact biological role of this modification has not been deciphered yet, but EGF-glucosylation seems to be essential for mouse embryonic development and Notch signaling ().

This is the most common mammalian O-glycosylation. It was named after a family of secreted and transmembrane proteins that feature heavily glycosylated repetitive peptide stretches, the so-called “variable number of tandem repeat” regions. More than 20 different GalNAc-transferases may perform the primary glycosylation step (). As these glycosyltransferases display distinct but overlapping substrate specificities (), there is no consensus motif for mucin-type O-glycosylation, although there are some tendencies. Thr residues are modified to much higher extent compared with Ser (, ). Pro, and to lesser extent, Ser, Thr, Ala, and Gly residues are overrepresented around modification sites (, , , , ). Eight different core structures exist (Fig. 2) (). Core-1–4 structures may be considered common, core-1 and core-2 (that may be considered a branched core-1) glycans are the most frequently occurring ones in serum (). The core-1 structure is the only type of glycan that has been identified on Tyr-residues unambiguously so far (, ). Cores 1 and 2 may be elongated into poly-N-acetyllactosamine chains and may feature antigens, such as blood-type determinants (, , ). Even some small O-linked structures are antigenic: the core GalNAc by itself or sialylated in the sixth position as well as the core-1 disaccharide, and these are termed as Tn, sialyl-Tn and T antigens, respectively (). Cores 5–8 are rare, and have been detected only from specific sources (). All cores may be modified with sialic acids - terminal Gal residues bear only α2,3-linked ones. Covalent modifications of these mucin-type glycans have been reported, such as the O-acetylation of neuraminic acid (, , ), and the sulfation of different Gal and GlcNAc units (, , ). Mucin-type O-glycosylation has been implicated in a wide variety of biological processes, such as interaction with pathogens (, ), cell adhesion (, , ), and proteolytic processing (, , , , ). Altered glycosylation patterns have been linked to different diseases. For example, defective glycosylation of IgA1 has been reported in patients with IgA nephropathy and Henoch-Schoenlein purpura nephritis (). It has also been documented that the O-glycosylation pattern is altered by cancer (): higher Tn antigen levels increase its invasiveness (, ).

It has been known for decades that Ser and Thr residues of nuclear and cytosolic proteins may be modified with a β-linked GlcNAc (). O-GlcNAcylation fulfills signaling and regulatory functions within the cell (). Both the enzyme performing the glycosylation as well as the glycosidase removing it have been identified (, , , ). More recently, it has been reported that extracellular proteins also may feature this modification (). The enzyme performing the modification within the ER lumen, EGF-domain-specific O-linked N-acetylglucosamine transferase has first been identified in Drosophila () and later in mammals (). In Drosophila this modification has been implicated in cell-cell interaction (). The biological role(s) of extracellular O-GlcNAcylation in mammals has not been determined yet, although multiple proteins have been found bearing O-GlcNAc in extracellular environment ().

O-mannosylation was originally categorized as a unique fungal type of O-glycosylation. Later it was discovered that mammalian dystroglycans also bear such modifications (Fig. 3 ()), and their glycosylation deficiency leads to pathological changes (). Cadherins were also identified as extensively modified with O-mannosyl glycans () and that O-mannosylation of E-cadherin is crucial for cell adhesion (). The modification is initiated in the ER, and from various studies only a handful of additional glycoproteins were found O-mannosylated (, , , ). O-glycan studies revealed that mammalian brain is especially rich in such modifications (). In this study, the existence of branched O-mannosyl glycan structures was also demonstrated (), the core Man is modified with an additional, β1,6-linked GlcNAc that may be further elongated (). It has been reported that branched O-mannosyl structures displaying HNK-1 epitopes (sulfoglucuronyl “capping”) influence cell-cell and cell-matrix interactions in the developing nervous system (). Recently, protein modification with a single mannose residue has also been reported (, ).

In a special class of glycoproteins, proteoglycans the core saccharide unit is xylose and it modifies Ser residues. Proteoglycans feature huge extended glycan chains: glycosaminoglycans (GAGs). This type of O-glycosylation will not be discussed in this paper, for an excellent summary on the structure and biosynthesis of proteoglycans see chapter 17 of ().

Although N-glycosylation features a consensus motif, and the potential sites can usually be isolated in individual peptides upon proteolytic treatment, the same is not true for O-glycopeptides. Because so many different glycosyltransferases are involved in the primary protein modification, not surprisingly, there is no universal consensus motif. Multiple potential modification sites are present in most of the peptides irrespective of the proteolytic enzyme used, and not infrequently these sites are clustered. Only O-glucosylation and O-fucosylation are different, as these are linked to specific domains, and the modified amino acids are in a specific position in reference to the disulfide bridges (see above).

However, as described earlier the existence of a fucosyl-transferase of different specificity cannot be excluded ().

N-glycosites are believed mostly highly, if not fully occupied—although because the glycopeptides are usually selectively enriched the available information may not be entirely reliable (, ). O-linked glycosylation sites may feature a lot more significant macroheterogeneity - most available data seem to suggest this (, ). However, there are reports that indicate the full occupancy of certain modification sites (, ). At the same time, assessing the occupancy rates for O-glycopeptides even in a single protein is extremely challenging because the ionization efficiency of the unmodified and differently glycosylated sequences is not the same and cannot be calculated or predicted. Identification of lower abundance glycoforms is also hampered by the chromatographic behavior of differently modified glycopeptides (see later).

Although N-linked glycosylation sites may feature 50+ different glycan structures (), the glycan repertoire of individual O-glycosylation sites seems to be more limited (, ). At the same time, the O-glycan-pool analyses of gastric mucins revealed an impressive array of oligosaccharide structures (, ). However, this diversity has not yet been “translated” to site-specific modifications. Nevertheless, it has been reported that the same sites can be modified by glycans of different mucin-type core structures (, ), or mannosyl as well as GalNAc-core glycans (, ). It has also been reported that the mucin-type core structure may be altered during recycling (). Assessing the macro- and microheterogeneity is complicated by the presence of multiple and (frequently) clustered modification sites whose differential occupancy may yield numerous isomeric structures. Complexity is also increased by rampant proteolytic digestion in body fluids (, , ).

The vast majority of proteomics data is acquired using reversed-phase separation of the sample components before MS/MS analysis. Increasing acidity leads to longer reversed phase retention times for N-glycopeptides when weak acids, such as formic or acetic acid are used as ion pairing agents, i.e. in most LC-MS/MS experiments (). The addition of a few “neutral” sugar units, for example, an extra antenna, does not alter the retention times significantly, and different N-glycoforms of the same acidity usually coelute (, , ). Thus, from the accurately measured masses of the coeluting components additional glycoforms can be identified even if no MS/MS data were acquired or relatively poor MS/MS spectra resulted from the analyses (). O-glycopeptides are somewhat different in this aspect. Acidic O-glycopeptides also elute later than their neutral counterparts (). At the same time, the addition of just a disaccharide at a different position, i.e. multiple modification has an even more profound effect on their chromatographic behavior. It has been documented that because of such alteration the retention time might be shortened by as much as 5 min when a relatively shallow LC gradient was applied (). Thus, finding all O-glycoforms represents a bigger challenge even in single protein analysis than the characterization of N-glycosylation.

Mass spectrometry has become the method of choice for all kind of PTM analyses. It has been essential for the characterization of glycosylation as well. Here we present what information can be gleaned from spectra acquired using different MS/MS techniques. All our examples represent mucin-type glycosylation. However, the few existing/available data on the other type of O-glycopeptides indicate that the rules of fragmentation are very similar for the other cores as well (see references for Fuc (, , ); Glc (); Man (, ); and GlcNAc ()).

Collision-induced dissociation is the most widely used MS/MS activation method. It was reported more than two decades ago that the favored process in the CID analysis of O-glycosylation is the gas-phase loss of the glycan via a rearrangement reaction without leaving a telltale sign on the previously modified residue (). Since then, numerous papers and reviews discussed the CID fragmentation pattern of O-glycopeptides and also the possibility and limitations of peptide sequence and modification site assignments (, ).

Fig. 4 represents the “typical” ion trap CID fragmentation of an O-glycopeptide decorated with a simple oligosaccharide. These data were acquired from a tryptic digest, in LC/MS/MS mode on an LTQ-Orbitrap XL mass spectrometer (Thermo Fisher Scientific, Waltham, MA). Although the precursor ions were measured with high resolution, the CID acquisition was performed in the linear ion trap. Ion trap CID is a resonance-activation process leading mostly to single bond cleavages. Glycosidic bond fragmentation clearly dominates the spectrum. Not surprisingly very abundant fragments were detected with charge retention at the reducing end (more precisely on the peptide connected to it). These are the so-called Y ions, numbered from the reducing end of the glycan (for nomenclature see ()). Such sugar-unit-loss ions may be formed with the same charge as the precursor ion, but also at lower charge states. The only clearly visible nonreducing end fragments in this spectrum represent the terminal neuraminic acid at m/z 292 and 274, i.e. the B₁ fragment and an ion formed via water loss from it, respectively. The B₃ fragment (NeuAcHexHexNAc, at m/z 657) was also detected, however, practically at the noise level. Among the fragments unaccounted for there is one that seems to be present both as singly and doubly charged (remember, the spectrum was recorded with low resolution and low mass accuracy). One could guess that it is most likely a peptide y fragment formed in front of a Pro residue. O-glycopeptides frequently contain prolines (, ), and this imino acid usually yields an abundant y ion. In addition, the other half of the peptide, i.e. the corresponding b fragment may also be unusually abundant. This is the case for this peptide, the corresponding b ion was indeed detected at m/z 1612 (y_i+b_n-i = MH⁺+1), still bearing the trisaccharide. Interestingly, this fragment was also detected without the terminal sialic acid at m/z 1321 indicating secondary fragmentation, unexpected in ion trap CID. To sum it up, from these data one can deduce the composition of the glycan: NeuAcHexHexNAc, the linearity of its structure, and the mass of the peptide. One can speculate that it may be about 17 residues long, and a Pro residue may be present within the sequence, and the glycosylation occurs N-terminally from this Pro. Measuring the fragments in the Orbitrap would confirm the charge states guessed, and deliver masses with high accuracy, but the amino acid sequence and the modification site still would not be identified whereas some of the weaker ions might be lost because of the lower sensitivity of the analyzer.

Beam-type CID performed in collision cells (Q-TOF instruments or HCD (higher-energy C-trap dissociation) in Thermo mass spectrometers) may provide much needed information on the identity of the peptide at the expense of the glycan characterization. The beam-type CID spectrum of the same glycopeptide (Fig. 5) is full of informative peptide fragments, the modified sequence can readily be identified as AVGAQVLESTPPPHVMR [682–698] of Uniprot F1MNW4, bovine ITIH2 protein. However, one can only guess/calculate the glycan mass and structure because of the (usually) complete loss of the glycan structure upon this type of activation. The oxonium ions clearly indicate the presence of neuraminic acid (m/z 274 and 292) and GalNAc (m/z 204). This latter fragment ion is diagnostic for both GlcNAc and GalNAc, but the distribution of further fragments clearly establishes GalNAc on this peptide (). One can then consider the simplest mucin-type sialylated structure, NeuAcGalGalNAc and the presence of the doubly charged Y₀ at m/z 895.49(2+) confirms our hunch. (Because the ion trap CID data revealed the mass and linearity of the glycan as well as the mass of the peptide, using ion trap and beam-type CID data combined may deliver more reliable and faster results. Except we do not know of any software that enables one to perform O-glycopeptide analysis doing so.) A database search will deliver the peptide identification once the proper glycan structure is permitted as variable modification. However, site assignments usually cannot be accomplished from CID/HCD data. In our example either Ser-10 or Thr-11 bears the trisaccharide. Thus, the C-terminal fragments starting from y₈ or y₉ should feature the appropriate mass shift, except each was detected without the modification, and that is rather typical for beam-type CID spectra. Sometimes abundant peptide fragments (typically representing Xxx-Pro bond cleavages) may be observed both unmodified and partially or fully retaining the glycan. One certainly could try to lower the collision energy to prevent sugar losses. Acquiring data at different collision energies may provide sufficient information for both sequence identification and site assignment. However, the extent of fragmentation depends on a lot of factors, and finding the optimal conditions for most components in automated LC/MS/MS settings may be a daunting task.

Electron capture and electron transfer dissociation (ECD and ETD, respectively), two recent MS/MS activation methods, lead to the formation of radical precursor ions that undergo fragmentation mostly yielding peptide backbone fragments via cleavages between the amino group and the alpha carbon, while retaining the amino acid side chains and their modifications intact (, ). Thus, efficient ECD/ETD fragmentation enables both the identification of the modified peptide and the assignment of the site of modification. Indeed, practically all recent successful O-glycosylation studies used radical based fragmentation to decipher modification sites (, , , , , , , , , ). ECD is performed in FT-ICR mass spectrometers, whereas ETD works in ion traps and more efficiently. Thus, we included an ETD spectrum to illustrate the advantages and limitations of the method. Fig. 6 shows the ETD spectrum of the human homologue of the earlier described ITIH2 peptide. This spectrum was acquired from m/z 733.692(3+) precursor ion, in the linear ion trap of an LTQ-Orbitrap Elite mass spectrometer (Thermo Fisher Scientific). Because in ETD the amino acid side chains mostly remain intact, one has to make assumptions about the glycans present, and has to provide a list of variable modifications during the database search. It is practical to start with the most common structures or with the targeted glycans if a selective enrichment was performed. In our case the human serum sample was treated with neuraminidase, thus, only HexNAc (representing GalNAc) and HexHexNAc (representing GalGalNAc) modifications were considered. From the spectrum presented AQGSQVLES(HexNAcHex)TPPPHVMR [682–698] of Uniprot P19823, human ITIH2 protein was identified with high confidence. However, the modification site assignment had to be confirmed manually. Ser-4 could be excluded as modification site by the presence of unmodified N-terminal fragment ion series c₄-c₈. However, the other potential sites are in adjacent positions, and the observation of c₉ and/or z₈ was necessary to make an unambiguous site assignment. As indicated with its red color, only z₈ was detected, unmodified, and thus, Ser-9 was assigned as the glycosylation site. Interestingly, most of the C-terminal fragments were observed as z+1 ions, the products of hydrogen migration (), and some carbohydrate fragmentation, reported earlier for O-glycopeptides (, ) was also detected. The ETD fragments also could have been measured in the Orbitrap, with high resolution and mass accuracy making the assignments more reliable, but unfortunately at the expense of sensitivity.

The Thermo Tribrid mass spectrometers (Thermo Fisher Scientific), with new design features dramatically improved the sensitivity of ETD analysis. Thus, measuring the fragments in the Orbitrap analyzer does not translate into significant information loss. In addition, a new MS/MS activation option, EThcD has been made available. In this hybrid technique ETD activation is performed first, then the entire “ion package” is subjected to mild HCD activation to achieve higher sequence coverage (). Recently, EThcD has been promoted for the more efficient analysis of post-translationally modified sequences, including glycopeptides (). An EThcD spectrum is presented in Fig. 7. These data were acquired on an Orbitrap Fusion Lumos Tribrid mass spectrometer (Thermo Fisher Scientific) from a precursor ion at m/z 624.950(3+) (with the default NCE value of 15%), the fragments were measured at high resolution and with high mass accuracy in the Orbitrap.

This activation combines the advantages of collision-induced and radical-driven dissociation. First, we have plenty of information on the modified amino acid sequence in form of ETD-derived backbone cleavages. Interestingly, the collisional activation of some radical C-terminal ETD fragments led to C-C bond cleavages in some amino acid side chains yielding two w ions (for nomenclature see ()), a phenomenon already reported for the differentiation of the isomeric Ile/Leu pair (). Otherwise, no additional peptide fragmentation was detected, rather the glycosidic bonds were cleaved. An almost complete oxonium ion series was detected for this glycopeptide. In contrast to “normal” HCD, the single unit oxonium ions are weaker, the fragments distinguishing between GlcNAc and GalNAc were not observed, m/z 366 representing HexHexNAc is missing, but all the larger sialylated fragments are present, even the intact tetrasaccharide. Because the low mass range is also covered, and abundant reducing end fragments are also present and the ions are measured within a few ppm, this technique seems to offer more information about the glycans than ion trap CID.

In summary, we have to point out that usually none of the above mentioned techniques provide “full glycan, amino acid sequence and modification site assignment” coverage. All our examples were singly modified glycopeptides and EThcD delivered the best results. However, peptides bearing multiple, different O-glycan structures depending on their amino acid and glycan sequences, carbohydrate/peptide size ratio, and charge density still may yield very limited information from all aspects.

Search engines were developed for the identification of unmodified, mostly tryptic peptides. Covalent modifications that are stable on MS/MS activation and are specific for any given amino acid make the assignment of such modifications, including site determination, relatively straightforward.

However, in O-glycosylation analysis we must deal with a wide variety of glycans, and also with their potential coexistence within the same peptide. Thus, even single protein characterization can turn into a very complicated process, and high throughput glycopeptide analysis remains extraordinarily challenging. Unless a specific enrichment strategy was followed (and even such protocols may produce surprising results ()), multiple glycan structures must be listed as potential variable modifications. Thus, in a way, a protein and a glycan database search must be performed simultaneously. In addition, the peptides may be decorated with multiple, sometimes different glycans. Furthermore, both peptide and glycan fragmentation must be considered. Activation-dependent peptide fragmentation scoring and the probability-based evaluation of the reliability thereof has been established for unmodified sequences. Glycopeptide glycan fragmentation assignment is like an “add-on” feature. Glycopeptide fragmentation has not been studied and evaluated yet extensively, especially for O-glycosylation. We simply did not have sufficiently large data sets available. What also complicates the matter, that search strategies have been developed to handle data from a single activation method. However, as discussed earlier, for glycopeptide characterization it would be better to use the information delivered by the different MS/MS strategies combined, sometimes adding retention time information and mass measurement data to the “mixture.” Thus, we would need other “mining tools,” not only humans, combining all these data. For the lack of better solutions, there are studies, even of high throughput nature, where data interpretation was/is performed from combined MS/MS data, mostly manually (, , ). At the same time, there are two search engines that are regularly used for O-glycopeptide identification from ETD or HCD data, and these are Byonic () and Protein Prospector (, ). Byonic is a commercial product, whereas Protein Prospector is available freely on the web and can also be downloaded and installed in-house. These search engines display a comparable performance and very similar shortcomings. Because Ser and Thr residues are frequently located in clusters, even ETD spectra may not reveal which amino acid bears the glycan. Protein Prospector features a built-in site assignment evaluation score, SLIP (site localization in peptide) score (), and it either will identify the glycosite confidently, or list the potential modification sites whenever there is not sufficient information for site determination. As for HCD data the glycan modification should be specified as “neutral loss” for Protein Prospector (because of the preferential elimination of the glycan on HCD activation, see MS/MS behavior section). Byonic does not require such “special treatment,” and it labels not only peptide fragments but also glycan oxonium ions as well as some of the sugar losses. Unfortunately, it also will “identify” a modification site even when there is no supportive evidence in the spectrum that is usually the case. In addition, characterizing peptides modified by multiple different O-glycans has not been reliably solved yet, although both search engines permit specifying such search parameters. For example, a mass addition of 1312 Da may indicate the presence of two GalGalNAc structures and two sialic acids. However, this composition may correspond to a single hexasaccharide, or two monosialo-structures, where the sialic acids might be bond to either the Gal or the core GalNAc, or we may have a combination of a disialo tetrasaccharide and an “uncapped” disaccharide structure. EThcD may address some of these issues, because it may contain sufficient information for glycan size determination, peptide identification as well as site assignment. However, to use reliably all the information included in the spectra requires significant software development.

The data interpretation is not finished when the search engine delivers a list of the identified glycopeptides, however high the confidence level may be. As discussed earlier, certain rules apply, such as where O-glycosylation is performed, what kind of glycans can be deposited on the amino acid side chains etc. Thus, we must consider the cellular localization of the proteins on our list as well as their topology. Finding extracellular glycosylation on—predicted to be—cytosolic domains may overwrite topology predictions (). Similarly, allegedly cytosolic and nuclear proteins detected with extracellular glycan structures might have been missassigned or may have a secreted isoform. In addition, with the ever-improving analytical tools one may discover novel, unexpected glycan structures or modification sites. For example, mucin-type glycosylation has been reported for Tyr (, ) and GlcNAcylation of Cys has been observed (). HLA peptides have been discovered featuring elongated GlcNAc residues (, ). These neoantigens may serve as targets for immunotherapy.

The analysis of isolated proteins led to the discovery and characterization of the different type of O-glycans. In the not so distant past proteases of different specificity, glycosidases, and even Edman degradation had to be used for such jobs. For example, the glycosylation of human casein was studied using such methods in 1980 (, ). A decade later mass spectrometry was introduced into the protein analytical repertoire and it holds a unique position there ever since. All classes of O-glycosylation have been described in single protein analysis using mass spectrometry. (For references see: O-fucosylation (, , , , ); O-glucosylation (, , ); mucin-type glycosylation (, , , , , , , ); O-mannosylation (, , )). Some proteins feature multiple types of O-glycosylation, such as Coagulation Factor VII (), Notch 1 (), or dystroglycan (). Single protein analysis is still the best approach for the comprehensive characterization of PTMs.

Presently, the majority of approved biopharmaceuticals are glycoproteins. These represent a specific case of single protein characterization. As the physicochemical, pharmacokinetic, and immunologic properties of these proteins may be altered by glycosylation changes, in-depth glycoprofiling of these proteins is essential. To display glycan pattern similar to that of human, these proteins are usually expressed in eukaryotic cell lines such as Chinese hamster ovary (CHO), myeloma (NS0), or hybridoma (SP2/0). However, depending on the culture medium and the physiological status of the host cells, the glycosylation pattern of these proteins may vary batch-to-batch. Although therapeutic efficacy, immunogenicity, and circulation half-life have clearly been linked to N-glycosylation (, , , ), the role of O-glycosylation is less explored. Possible function of O-glycans may be masking antigenic sites of the proteins as evidenced by elevated antigenecity of O-glycosylation deficient human recombinant granulocyte stimulating factor (). Among several glycan-related issues linked to N-glycosylation, sialic acid O-acetylation, and the presence of the nonhuman NeuGc may have implications toward O-linked structures as well. The presence of these sialic acid variants have been demonstrated on O-linked structures in wild-type samples (, ).

The largest and best-selling therapeutic proteins are recombinant immunoglobulins (mAbs) applied widely for cancer and autoimmune diseases. Proper N-glycosylation of IgGs is indispensable for proper Fc-effector functions and serum half-life. On the other hand, O-glycosylation has not been observed on the most abundant IgG subclass, IgG1, although O-glycosylation of the less abundant IgG2 and IgG3 subclasses has been reported (, ). Therefore, presently there are no O-glycosylation issues related to this class of biologics.

However, there are important biologics O-glycosylated. Erythropoietin (EPO) is used for prevention of anemia in cancer patients and restoration of hemoglobin level in patients with renal failure. Site-specific N- and O-glycosylation of this 30 kDa protein have been extensively studied (, , , , , ). The human chorionic gonadotrophin, used for over 30 years for treating female infertility, is a 26 kDa glycoprotein with 4 N- and 4 O-glycosylation sites. In a recent study, ten different samples from urinary- and recombinant hCGs were analyzed and compared in a site-specific and quantitative manner ().

Therapeutic fusion proteins which are created from different proteins using recombinant DNA technology may also belong here. An example is Etanercept, a TNFα inhibitor used for treatment of rheumatoid arthritis. The linker region of this protein is heavily O-glycosylated, 12 Ser/Thr residues have been shown to be modified with neutral, mono- and disialylated core-1 type structures ().

Extracellular O-glycosylation data acquired from complex samples are rather limited. The dynamic range of protein concentration is overwhelming in body fluids or tissue samples—for example, concentration of individual proteins spans 11 orders of magnitude in human plasma (), and the vast majority of these proteins are not- or just N-glycosylated. To characterize O-glycosylation in complex samples, some enrichment is essential. Basically, three enrichment strategies have been applied for this purpose: (i) hydrophilic interaction liquid chromatography (HILIC), (ii) periodate oxidation-hydrazide capture, and (iii) lectin affinity chromatography.

HILIC is suitable for the enrichment of glycopeptides with relatively high glycan/peptide ratio including N-glycopeptides and multiply modified O-glycopeptides. Until now few O-glycopeptides were characterized form such mixtures (). However, some O-glycosylated short peptide sequences, such as those generated by aspecific/broad specificity proteases may be isolated separately from N-glycopeptides as demonstrated by a human plasma study incubating the samples with Proteinase K before the chromatography (). Though we would like to point out that automated interpretation of short peptide sequences generated by aspecific/broad specificity proteases is usually quite unreliable.

The hydrazide capture and release approach exploits that vicinal cis diols can be easily and selectively oxidized using periodate and the resulting aldehydes can be isolated on immobilized hydrazide functionalities. This method has been developed for N-glycoprotein isolation () and further optimized for enrichment of sialic acid containing glycoproteins (). The unmodified part of the protein is removed by tryptic digestion followed by mild acidic release of the glycopeptides. The glycosidic bond linking the terminal sialic acid and the penultimate saccharide unit is hydrolyzed during this process, information on the original intact glycan structure is therefore lost. Similarly, to HILIC, both N- and O-glycosylated molecules are isolated by this method. Peptides and proteins with N-terminal Ser and Thr are also readily oxidized by periodate (), therefore this method is more suitable for protein-level enrichment. The hydrazide capture-and release method has been used for studying O-glycosylation in human urine () and cerebrospinal fluid ().

Finally, there are several lectins affording O-glycopeptide enrichment. Jacalin, a plant lectin from Artocarpus integrifolia shows preference toward Galβ1,3GalNAc with unsubstituted GalNAc C6-OH (), therefore it is an attractive option for samples such as human plasma/serum where mucin core-1 type O-glycosylation is dominant () keeping in mind that the disialylated mucin core-1 structure that comprises some 20% of human plasma O-glycans () cannot be captured by this lectin. Glycopeptides displaying core-2 O-glycans will not be isolated either as the GlcNAc moiety is in 1,6 linkage with the core GalNAc. Peanut agglutinin also binds the Galβ1,3GalNAc structure, but sialylation inhibits the binding (). Vicia villosa and soybean agglutinin show preference toward GalNAc enabling enrichment of O-glycosylated proteins or peptides from samples where elongation of mucin-type O-glycosylation is inhibited (see Simple Cell technology below). Finally, broad-specificity lectins such as wheat germ agglutinin () can also be exploited for O-glycopeptide enrichment. Although lectins show varying affinity toward their preferred substrates, high nonspecific background is very typical. This feature may partly be attributed to agarose frequently used as solid support for lectin affinity chromatography. Immobilization of lectins on other supports withstanding more stringent washing conditions such as POROS () may improve this situation.

Numerous O-glycosylation studies rely on lectin affinity isolation. Jacalin has been used for O-glycosylation characterization of fetal calf serum (, ), human plasma () and serum (). Peanut agglutinin has been used for characterization of protein O-glycosylation of human plasma, platelets and endothelial cells () yielding the largest data set for protein O-glycosylation to date. Wheat germ agglutinin has been used in studies reporting O-glycosylation of the mouse synaptosome () and liver (), and this lectin also proved to be useful for characterization of human serum O-glycosylation (, ).

Interestingly, although HILIC, sialic-acid-based isolation as well as affinity chromatography with wheat germ agglutinin are suitable for the enrichment of some core mannosyl and fucosyl structures, only a few such glycopeptides have been identified in high-throughput studies (). Thus, we must assume that the occurrence of these modifications is much lower than that of the mucin-type structures, and more targeted enrichment strategies have to be developed in order to find the differently O-glycosylated proteins.

Although the above examples represented the analysis of wild-type samples, the most remarkable breakthrough in O-glycosylation analysis has been delivered by the Clausen-group introducing an innovative new approach, SimpleCell technology. First, mucin-type O-glycosylation has been extensively studied on genetically engineered cell lines, where O-glycan extension is blocked (, , , ). This approach has been extended to probe the specificity of different GalNAc-transferases (, ). The latter studies revealed that there is significant redundancy in the O-GalNAc transferase system, and most of the sites are “covered” by multiple enzymes. However, the different GalNAc transferases have specific substrate subsets that are linked to distinct cellular processes. This suggests that some GalNAc transferases may regulate these processes through their specific substrate proteins. The technology was also applied successfully to an entirely different glycosylation pathway, O-mannosylation (). Although very impressive results were gathered, the method suffers from certain shortcomings. The first results were gained from cancer cell lines. Because it is believed that in cancer the equilibrium between core glycosylation and elongation is broken (), one would expect a higher degree of glycosylation in such samples than in healthy tissues, although we do not have any proof of that (). However, the authors themselves pointed out that higher density glycosylation may result from the prevention of elongation (, ). They also suggested that the increased glycan density may adversely affect the proteolytic digestion as well as mass spectrometry detection and MS/MS-based identification. On the other hand, in a recent study, King et al. reported that there were no substantial differences between site distribution and localization in glycoengineered immortalized cell lines and in native samples (). Distinguishing the two N-acetylhexosamines used by human cells also represents a challenge for glycopeptides with truncated glycan structures. Luckily, it has been reported that GalNAc and GlcNAc produce a characteristic fragmentation pattern in beam-type collisional activation (). However, the reliability of such assignments has not been tested on a large enough data set yet. Obviously, the biggest issue with SimpleCell technology is the loss of information on structural diversity. Still, this is a very powerful tool, and there are numerous promising projects where this technique will deliver significant new knowledge, and will point us to the right direction.