Glycan Sequences Research Articles

REStLESS: automated translation of glycan sequences from residue-based notation to SMILES and atomic coordinates

Glycans and glycoconjugates are usually recorded in dedicated databases in residue-based notations. Only a few of them can be converted into chemical (atom-based) formats highly demanded in conformational and biochemical studies. In this work, we present a tool for translation from a residue-based glycan notation to SMILES. The REStLESS algorithm for translation from the CSDB Linear notation to SMILES was developed. REStLESS stands for ResiduEs as Smiles and LinkagEs as SmartS, where SMARTS reaction expressions are used to merge pre-encoded residues into a molecule. The implementation supports virtually all structural features reported in natural carbohydrates and glycoconjugates. The translator is equipped with a mechanism for conversion of SMILES strings into optimized atomic coordinates which can be used as starting geometries for various computational tasks. REStLESS is integrated in the Carbohydrate Structure Database (CSDB) and is freely available on the web (http://csdb.glycoscience.ru/csdb2atoms.html). Supplementary data are available at Bioinformatics online.

De Novo Glycan Sequencing by Electronic Excitation Dissociation and Fixed-Charge Derivatization.

Detailed glycan structural characterization is frequently achieved by collisionally activated dissociation (CAD) based sequential tandem mass spectrometry (MS n) analysis of permethylated glycans. However, it is challenging to implement MS n ( n > 2) during online glycan separation, and this has limited its application to analysis of complex glycan mixtures from biological samples. Further, permethylation can reduce liquid chromatographic (LC) resolution of isomeric glycans. Here, we studied the electronic excitation dissociation (EED) fragmentation behavior of native glycans with a reducing-end fixed charge tag and identified key spectral features that are useful for topology and linkage determination. We also developed a de novo glycan sequencing software that showed remarkable accuracy in glycan topology elucidation based on the EED spectra of fixed charge-derivatized glycans. The ability to obtain glycan structural details at the MS2 level, without permethylation, via a combination of fixed charge derivatization, EED, and de novo spectral interpretation, makes the present approach a promising tool for comprehensive and rapid characterization of glycan mixtures.

Scope and limitations of carbohydrate hydrolysis for de novo glycan sequencing using a hydrogen peroxide/metallopeptide-based glycosidase mimetic

Acidic hydrolysis is commonly used as a first step to break down oligo- and polysaccharides into monosaccharide units for structural analysis. While easy to set up and amenable to mass spectrometry detection, acid hydrolysis is not without its drawbacks. For example, ring-destruction side reactions and degradation products, along with difficulties in optimizing conditions from analyte to analyte, greatly limits its broad utility. Herein we report studies on a hydrogen peroxide/CuGGH metallopeptide-based glycosidase mimetic design for a more efficient and controllable carbohydrate hydrolysis. A library of methyl glycosides consisting of ten common monosaccharide substrates, along with oligosaccharide substrates, was screened with the artificial glycosidase for hydrolytic activity in a high-throughput format with a robotic liquid handling system. The artificial glycosidase was found to be active towards most screened linkages, including alpha- and beta-anomers, thus serving as a potential alternative method for traditional acidic hydrolysis approaches of oligosaccharides.

Computational Toolset for Glycoconjugate Modeling and Simulation

Characterizing glycoconjugates and protein-glycan interactions in the context of three-dimensional structures is important in understanding glycan's biological roles and develop efficient therapeutic agents. However, it is challenging to achieve this goal due to limitations in available experimental approaches and computational tools. To tackle this problem, we have developed GlycanStructure.ORG, a web portal to provide various computational tools. (1) Glycan Reader has been developed for automatic detection and annotation of carbohydrates, their chemical derivatives, and glycosidic linkages from PDB files (both in the PDB and mmCIF formats). Molecular system and input generations for the glycoconjugate simulation are available through CHARMM-GUI, http://www.charmm-gui.org. (2) The glycan fragment database (GFDB) provides an intuitive glycan sequence search tool that allows users to search for complex glycan structures in the PDB. After a glycan search, each selected glycosidic torsion angle distribution can be displayed and clustering analysis is used to provide most populated glycan structures, which can be useful for glycan structure modeling. (3) GS-align is an algorithm to identify the best structural alignment between glycan structure pairs and to provide a length-independent score of the structural similarity. This tool is useful to study the relationship between multiple glycoforms and biological functions, and glycan structure prediction. (4) Glycan Modeler is a template-based method to predict glycan structures from a given sequence using the PDB glycan structures as fragment template. After templates are identified by the random forest algorithm, Glycan Modeler provides two conformational sampling approaches that are assembly of rigid bodies and satisfaction of spatial restraints using by conformational space annealing (CSA).

Large-scale intact glycopeptide identification by Mascot database search

Workflows capable of determining glycopeptides in large-scale are missing in the field of glycoproteomics. We present an approach for automated annotation of intact glycopeptide mass spectra. The steps in adopting the Mascot search engine for intact glycopeptide analysis included: (i) assigning one letter codes for monosaccharides, (ii) linearizing glycan sequences and (iii) preparing custom glycoprotein databases. Automated annotation of both N- and O-linked glycopeptides was proven using standard glycoproteins. In a large-scale study, a total of 257 glycoproteins containing 970 unique glycosylation sites and 3447 non-redundant N-linked glycopeptide variants were identified in 24 serum samples. Thus, a single tool was developed that collectively allows the (i) elucidation of N- and O-linked glycopeptide spectra, (ii) matching glycopeptides to known protein sequences, and (iii) high-throughput, batch-wise analysis of large-scale glycoproteomics data sets.

Regular Motifs in Xylan Modulate Molecular Flexibility and Interactions with Cellulose Surfaces.

Xylan is tightly associated with cellulose and lignin in secondary plant cell walls, contributing to its rigidity and structural integrity in vascular plants. However, the molecular features and the nanoscale forces that control the interactions among cellulose microfibrils, hemicelluloses, and lignin are still not well understood. Here, we combine comprehensive mass spectrometric glycan sequencing and molecular dynamics simulations to elucidate the substitution pattern in softwood xylans and to investigate the effect of distinct intramolecular motifs on xylan conformation and on the interaction with cellulose surfaces in Norway spruce (Picea abies). We confirm the presence of motifs with evenly spaced glycosyl decorations on the xylan backbone, together with minor motifs with consecutive glucuronation. These domains are differently enriched in xylan fractions extracted by alkali and subcritical water, which indicates their preferential positioning in the secondary plant cell wall ultrastructure. The flexibility of the 3-fold screw conformation of xylan in solution is enhanced by the presence of arabinofuranosyl decorations. Additionally, molecular dynamic simulations suggest that the glycosyl substitutions in xylan are not only sterically tolerated by the cellulose surfaces but that they increase the affinity for cellulose and favor the stabilization of the 2-fold screw conformation. This effect is more significant for the hydrophobic surface compared with the hydrophilic ones, which demonstrates the importance of nonpolar driving forces on the structural integrity of secondary plant cell walls. These novel molecular insights contribute to an improved understanding of the supramolecular architecture of plant secondary cell walls and have fundamental implications for overcoming lignocellulose recalcitrance and for the design of advanced wood-based materials.

Tool for Rapid Analysis of Glycopeptide by Permethylation via One-Pot Site Mapping and Glycan Analysis.

To overcome the challenges in the analysis of protein glycosylation, we have developed a comprehensive and universal tool through permethylation of glycopeptides and their tandem mass spectrometric analysis. This method has the potential to simplify glycoprotein analysis by integrating glycan sequencing and glycopeptide analysis in a single experiment. Moreover, glycans with unique glycosidic linkages, particularly from prokaryotes, which are resistant to enzymatic or chemical release, could also be detected and analyzed by this methodology. Here we present a strategy for the permethylation of intact glycopeptides, obtained via controlled protease digest, and their characterization by using advanced mass spectrometry. We used bovine RNase B, human transferrin, and bovine fetuin as models to demonstrate the feasibility of the method. Remarkably, the glycan patterns, glycosylation site, and their occupancy by N-glycans are all detected and identified in a single experimental procedure. Acquisition on a high resolution tandem-MSn system with fragmentation methodologies such as high-energy collision dissociation (HCD) and collision induced dissociation (CID), provided the complete sequence of the glycan structures attached to the peptides. The behavior of 20 natural amino acids under the basic permethylation conditions was probed by permethylating a library of short synthetic peptides. Our studies indicate that the permethylation imparts simple, limited, and predictable chemical transformations on peptides and do not interfere with the interpretation of MS/MS data. In addition to this, permethylated O-glycans in unreduced form (released by β elimination) were also detected, allowing us to profile O-linked glycan structures simultaneously.

Glycoforest 1.0.

Tandem mass spectrometry, when combined with liquid chromatography and applied to complex mixtures, produces large amounts of raw data, which needs to be analyzed to identify molecular structures. This technique is widely used, particularly in glycomics. Due to a lack of high throughput glycan sequencing software, glycan spectra are predominantly sequenced manually. A challenge for writing glycan-sequencing software is that there is no direct template that can be used to infer structures detectable in an organism. To help alleviate this bottleneck, we present Glycoforest 1.0, a partial de novo algorithm for sequencing glycan structures based on MS/MS spectra. Glycoforest was tested on two data sets (human gastric and salmon mucosa O-linked glycomes) for which MS/MS spectra were annotated manually. Glycoforest generated the human validated structure for 92% of test cases. The correct structure was found as the best scoring match for 70% and among the top 3 matches for 83% of test cases. In addition, the Glycoforest algorithm detected glycan structures from MS/MS spectra missing a manual annotation. In total 1532 MS/MS previously unannotated spectra were annotated by Glycoforest. A portion containing 521 spectra was manually checked confirming that Glycoforest annotated an additional 50 MS/MS spectra overlooked during manual annotation.

Glycan Reader is improved to recognize most sugar types and chemical modifications in the Protein Data Bank

Glycans play a central role in many essential biological processes. Glycan Reader was originally developed to simplify the reading of Protein Data Bank (PDB) files containing glycans through the automatic detection and annotation of sugars and glycosidic linkages between sugar units and to proteins, all based on atomic coordinates and connectivity information. Carbohydrates can have various chemical modifications at different positions, making their chemical space much diverse. Unfortunately, current PDB files do not provide exact annotations for most carbohydrate derivatives and more than 50% of PDB glycan chains have at least one carbohydrate derivative that could not be correctly recognized by the original Glycan Reader. Glycan Reader has been improved and now identifies most sugar types and chemical modifications (including various glycolipids) in the PDB, and both PDB and PDBx/mmCIF formats are supported. CHARMM-GUI Glycan Reader is updated to generate the simulation system and input of various glycoconjugates with most sugar types and chemical modifications. It also offers a new functionality to edit the glycan structures through addition/deletion/modification of glycosylation types, sugar types, chemical modifications, glycosidic linkages, and anomeric states. The simulation system and input files can be used for CHARMM, NAMD, GROMACS, AMBER, GENESIS, LAMMPS, Desmond, OpenMM, and CHARMM/OpenMM. Glycan Fragment Database in GlycanStructure.Org is also updated to provide an intuitive glycan sequence search tool for complex glycan structures with various chemical modifications in the PDB. http://www.charmm-gui.org/input/glycan and http://www.glycanstructure.org. wonpil@lehigh.edu. Supplementary data are available at Bioinformatics online.

N-Glycosylation analysis of yeast Carboxypeptidase Y reveals the ultimate removal of phosphate from glycans at Asn368

Carboxypeptidase Y from Saccharomyces cerivisiae was characterized for its site specific N-glycosylation through mass spectrometry. The N-glycopeptides were derived using non specific proteases and are analysed directly on liquid chromatography coupled to ion trap mass spectrometer in tandem mode. The evaluation of glycan fragment ions and the Y1 ions (peptide+HexNAc)+n revealed the glycan sequence and the corresponding site of attachment. We observed the microheterogeneity in N-glycans such as Man11-15GlcNAc2 at Asn13, Man8-12GlcNAc2 at Asn87, Man9-14GlcNAc2 at Asn168 and phosphorylated Man12-17GlcNAc2 as well as Man11-16GlcNAc2 at Asn368. The presence of N-glycans with Man<18GlcNAc2 indicated that in vacuoles the steady release of mannose/phospho mannose residues from glycans occurs initially at Asn13 or Asn168 followed by at Asn368. However, glycans at Asn87 which comprises Man8-12 residues as reported earlier remain intact suggesting its inaccessibility for a similar processing. This in turn indicates the interaction of the glycan at Asn87 with the polypeptide chain implicating it in the folding of the protein.

Molecular Dynamics Simulations of 38 Types of Ganglioside in Homoegneous Membrane Bilayers

Ganglioside is a membrane lipid in which the hydrophilic head group is a complex oligosaccharide containing one or more sialic acids. The oligosaccharides of the ganglioside extend out from the cell surface, interacting with various signaling molecules. Some of their functions include regulation of protein activities, recognition of specific molecules, and communication between cells. Gangliosides are especially abundant in the brain, with three times as much in grey as in white matter. It is believed that gangliosides are involved in pathological states such as cancer, Tay-Sachs disease, Huntington's disease, Alzheimer's disease, et certera. To explore and understand the orientation, structure, and dynamics of gangliosides, molecular dynamics simulations on 38 different types of gangliosides in homogenous membrane bilayer (POPC) were performed. CHARMM-GUI was utilized to build the membrane bilayers, and a ganglioside was inserted in both the upper leaflet and the bottom leaflet, with three simulations for each ganglioside. Each system was ran for up to 50 ns and multiple analyses were ran. Through comparative analysis, the difference in properties and dynamics due to different glycan sequence will be studied. Future work includes running the simulation longer up to 200∼300 ns and assembling the information gathered through multiple analyses for greater understanding of gangliosides, which will aid in glycome studies.

Site specific N-glycan profiling of NeuAc(α2-6)-Gal/GalNAc-binding bark Sambucus nigra agglutinin using LC-MSn revealed differential glycosylation.

The bark of Sambucus nigra contains a complex mixture of glycoproteins that are characterized as chimeric lectins known as type II ribosome inactivating proteins and holo lectins. These type II ribosome inactivating proteins possess RNA N-glycosidase activity in subunit A and lectin activity associated with subunit B exhibiting distinct sugar specificities to NeuAc(α2-6)-Gal/GalNAc and Gal/GalNAc. In the present study we have determined the N-glycosylation pattern of type II ribosome inactivating protein specific to NeuAc(α2-6)-Gal/GalNAc (Sambucus nigra agglutinin I) by subjecting it to digestion with multiple proteases. The resulting mixture of peptides and N-glycopeptides were analyzed on liquid chromatography coupled to electro spray ionization-iontrap mass spectrometry in MSn mode. MS2 of precursor ions was carried out using CID which provided information on glycan sequence. In subsequent MS3 of Y1/Y1α ions (peptide + HexNAc)+n of corresponding N-glycopeptides, resulted in the fragmentation of peptide backbone confirming the site of attachment. We observed microheterogeneity in each glycan occupied site with subunit A possessing four N-glycans out of six sites with complex and paucimannose types while subunit B comprises occupancy of two sites with a paucimannose and a high mannose type. The differential N-glycosylation of subunits in SNA is discussed in the context of other type II RIPs glycans.

The Glycome Analytics Platform: an integrative framework for glycobioinformatics.

Complex carbohydrates play a central role in cellular communication and in disease development. O- and N-glycans, which are post-translationally attached to proteins and lipids, are sugar chains that are rooted, tree structures. Independent efforts to develop computational tools for analyzing complex carbohydrate structures have been designed to exploit specific databases requiring unique formatting and limited transferability. Attempts have been made at integrating these resources, yet it remains difficult to communicate and share data across several online resources. A disadvantage of the lack of coordination between development efforts is the inability of the user community to create reproducible analyses (workflows). The latter results in the more serious unreliability of glycomics metadata. In this paper, we realize the significance of connecting multiple online glycan resources that can be used to design reproducible experiments for obtaining, generating and analyzing cell glycomes. To address this, a suite of tools and utilities, have been integrated into the analytic functionality of the Galaxy bioinformatics platform to provide a Glycome Analytics Platform (GAP).Using this platform, users can design in silico workflows to manipulate various formats of glycan sequences and analyze glycomes through access to web data and services. We illustrate the central functionality and features of the GAP by way of example; we analyze and compare the features of the N-glycan glycome of monocytic cells sourced from two separate data depositions.This paper highlights the use of reproducible research methods for glycomics analysis and the GAP presents an opportunity for integrating tools in glycobioinformatics. This software is open-source and available online at https://bitbucket.org/scientificomputing/glycome-analytics-platform chris.barnett@uct.ac.za or kevin.naidoo@uct.ac.za Supplementary data are available at Bioinformatics online.

Automated Glycan Sequencing from Tandem Mass Spectra of N-Linked Glycopeptides.

Mass spectrometry has become a routine experimental tool for proteomic biomarker analysis of human blood samples, partly due to the large availability of informatics tools. As one of the most common protein post-translational modifications (PTMs) in mammals, protein glycosylation has been observed to alter in multiple human diseases and thus may potentially be candidate markers of disease progression. While mass spectrometry instrumentation has seen advancements in capabilities, discovering glycosylation-related markers using existing software is currently not straightforward. Complete characterization of protein glycosylation requires the identification of intact glycopeptides in samples, including identification of the modification site as well as the structure of the attached glycans. In this paper, we present GlycoSeq, an open-source software tool that implements a heuristic iterated glycan sequencing algorithm coupled with prior knowledge for automated elucidation of the glycan structure within a glycopeptide from its collision-induced dissociation tandem mass spectrum. GlycoSeq employs rules of glycosidic linkage as defined by glycan synthetic pathways to eliminate improbable glycan structures and build reasonable glycan trees. We tested the tool on two sets of tandem mass spectra of N-linked glycopeptides cell lines acquired from breast cancer patients. After employing enzymatic specificity within the N-linked glycan synthetic pathway, the sequencing results of GlycoSeq were highly consistent with the manually curated glycan structures. Hence, GlycoSeq is ready to be used for the characterization of glycan structures in glycopeptides from MS/MS analysis. GlycoSeq is released as open source software at https://github.com/chpaul/GlycoSeq/ .

478. An Essential and Ubiquitous Protein Receptor for AAV; Glycans as Attachment Receptors

Motivated by unsuccessful attempts to observe physical binding between AAV-2 and heterologously expressed domains of previously reported co-receptors, we set out to identify novel protein receptor(s) for AAV2 through an unbiased genome-wide knockout screen in human cells. Using an mCherry AAV vector, resistant cells were iteratively selected by FACS for gene trap screening in a library of mutagenized haploid cells. Upon deep sequencing, refractory cells had significantly high frequencies of mutation in genes encoding glycan synthesis and retrograde transport, but most significantly in a hitherto poorly characterized transmembrane protein, now termed AAVR. Genetic confirmation of AAVR's role in the entry of multiple AAV serotypes has come through CRISPR-Cas9 knockouts in multiple cell lines then restoration of susceptibility through complementation; infection of poorly permissive cells following AAVR transduction; and creation of a mouse knockout with greatly diminished susceptibility.Various AAVR ectodomain constructs have been heterologously expressed and purified as fusion proteins, and these have been shown to inhibit in vitro viral transduction at concentrations consistent with effective nM binding constants (between AAV & AAVR) measured by surface plasmon resonance (SPR). Pre-incubation with antibodies to AAVR also inhibits infection or transduction. AAVR is transiently expressed on the plasma membrane. Expression of chimeric constructs suggests that AAV takes advantage of its trafficking to the perinuclear trans Golgi network as the dominant, but non-exclusive, entry pathway. Identification of AAVR and its apparently ubiquitous use has interesting implications for AAV's cell specificity. Progress towards structure of complexes will be reported.AAVR exhibits the classic characteristics of a viral receptor, casting the roles ascribed to glycan “primary” receptors in new light. Electron microscopy has been used to visualize AAV-DJ in complex with various heparin analogs at increasingly high resolution. A structure at 2.8 A resolution, as a pentasaccharide complex, shows some disorder in the glycan, but the side chains of viral amino acids are clearly resolved and in different conformations from those seen in a sucrose octasulfate complex. With little change to the backbone, the binding site accommodates diverse glycan sequences through adjustments to side chains, consistent with SPR binding assays of AAV-2 to a library of heparanoids. This, together with comparisons of heparan and AAVR cell knock-outs, indicates a more accessory role for glycans than is implied by the term “primary”. As for several other viruses, in AAV-2 at least, the glycan is an attachment receptor that likely elevates the AAV concentration proximal to the membrane, improving the efficiency with which the virus then binds to AAVR.

Introducing Glycans to Molecular Visualization Software

Despite the essential role of glycoconjugates in biological processes, molecular visualization software fail to recognize carbohydrates as a unified class of macromolecules. Although proteins and DNA are detected by default, carbohydrate residues are treated as ‘non‐standard’ (HETATM) and grouped together with solvent and ions. As a result, carbohydrates currently lack a simplistic representation for 3D structure, and are predominantly visualized with all atoms displayed. Discerning the glycan sequence from an atomic view is challenging for short fragments and prohibitive for oligosaccharides. The following work describes the implementation of algorithms for the automatic identification and representation of carbohydrate moieties within the highly‐cited Visual Molecular Dynamics (VMD) program. Carbohydrate residues are now detected with a robust algorithm that distinguishes carbohydrate moieties from other ring‐based structures based upon atomic coordinates, rather than residue names. A 3D adaptation of the symbolic nomenclature developed by the Consortium for Functional Glycomics (CFG) has been implemented as a cartoon representation of carbohydrate residues, analogous to the canonical depiction of protein backbones with ribbons. Incorporation of a standard representation scheme familiar to the glycobiology community should improve adoption and allow researchers to more efficiently convey complex structural concepts pertaining to carbohydrate‐containing biomolecules (i.e. glycoforms of proteins, ligand sequences, etc.). Alternatives to the 3D‐CFG representation have also been included to enhance the atomic view of carbohydrate moieties. These additions to VMD finally create a program capable of treating carbohydrates as a unified class of molecules, complete with custom representations.Support or Funding InformationThe authors thank the NIH for support (R01 GM100058).

Computational approaches to define a human milk metaglycome.

The goal of deciphering the human glycome has been hindered by the lack of high-throughput sequencing methods for glycans. Although mass spectrometry (MS) is a key technology in glycan sequencing, MS alone provides limited information about the identification of monosaccharide constituents, their anomericity and their linkages. These features of individual, purified glycans can be partly identified using well-defined glycan-binding proteins, such as lectins and antibodies that recognize specific determinants within glycan structures. We present a novel computational approach to automate the sequencing of glycans using metadata-assisted glycan sequencing, which combines MS analyses with glycan structural information from glycan microarray technology. Success in this approach was aided by the generation of a 'virtual glycome' to represent all potential glycan structures that might exist within a metaglycomes based on a set of biosynthetic assumptions using known structural information. We exploited this approach to deduce the structures of soluble glycans within the human milk glycome by matching predicted structures based on experimental data against the virtual glycome. This represents the first meta-glycome to be defined using this method and we provide a publically available web-based application to aid in sequencing milk glycans. http://glycomeseq.emory.edu sagravat@bidmc.harvard.edu Supplementary data are available at Bioinformatics online.

Functionalized HgTe nanoparticles promote laser-induced solid phase ionization/dissociation for comprehensive glycan sequencing.

Glycoconjugates are ubiquitously present and play a critical role in various biological processes. Due to their low stability and incredibly high degree of structural diversity, the structural characterization of glycan generally requires chemical derivatization and sophisticated instrumentation. Herein, we report a method for complicated glycan characterization in a single assay by employing 2,5-dihydroxybenzoic acid functionalized mercury telluride nanoparticles (HgTe@DHB NPs) as a dual ionization-dissociation element in matrix-assisted laser desorption/ionization mass spectrometry. Using a linear glycan, HgTe@DHB NPs promote laser-induced extensive and intense dissociation of the glycan, superior to HgTe microparticles and other inorganic nanoparticles (TiO2, ZnO, and Mn2O3 NPs). Abundant generation of diagnostic glycosidic (Y-, and B-type ions) and cross-ring cleavage (A-type ions) ions permits unambiguous determination of the composition, sequence, branching, and linkage of labile sialylated glycans. The general utility of this approach was demonstrated by the characterization of labile sialylated glycans and two sets of complicated isomeric glycans. This phenomenon was delineated further by investigating the NP's physico-chemical characteristics, revealing that their nanoscale-dependent thermodynamic properties, including UV absorption, photoelectron release dynamics and thermal energy, were the key to levitate temperature synergistically, thus inducing spontaneous glycan decomposition during the nanoparticle-assisted laser desorption-ionization process. Our results show that this "pseudo-MS/MS" obtained by HgTe@DHB can be beneficial for the analysis of biologically relevant and more complicated carbohydrates, without the need for chemical pre-derivatization and conventional tandem mass spectrometry.

Eradicating mass spectrometric glycan rearrangement by utilizing free radicals.

Mass spectrometric glycan rearrangement is problematic because it provides misleading structural information. Here we report on a new reagent, a methylated free radical activated glycan sequencing reagent (Me-FRAGS), which combines a free radical precursor with a methylated pyridine moiety that can be coupled to the reducing terminus of glycans. The collisional activation of Me-FRAGS-derivatized glycans generates a nascent free radical that concurrently induces abundant glycosidic bond and cross-ring cleavage without the need for subsequent activation. The product ions resulting from glycan rearrangement, including internal residue loss and multiple external residue losses, are precluded. Glycan structures can be easily assembled and visualized using a radical driven glycan deconstruction diagram (R-DECON diagram). The presence and location of N-acetylated saccharide units and branch sites can be identified from the characteristic dissociation patterns observed only at these locations. The mechanisms of dissociation are investigated and discussed. This Me-FRAGS based mass spectrometric approach creates a new blueprint for glycan structure analysis.

Negative-Ion Electrospray Tandem Mass Spectrometry and Microarray Analyses of Developmentally Regulated Antigens Based on Type 1 and Type 2 Backbone Sequences.

Type 1 (Galβ1-3GlcNAc) and type 2 (Galβ1-4GlcNAc) sequences are constituents of the backbones of a large family of glycans of glycoproteins and glycolipids whose branching and peripheral substitutions are developmentally regulated. It is highly desirable to have microsequencing methods that can be used to precisely identify and monitor these oligosaccharide sequences with high sensitivity. Negative-ion electrospray tandem mass spectrometry with collision-induced dissociation has been used for characterization of branching points, peripheral substitutions, and partial assignment of linkages in reducing oligosaccharides. We now extend this method to characterizing entire sequences of linear type 1 and type 2 chain-based glycans, focusing on the type 1 and type 2 units in the internal regions including the linkages connecting type 1 and type 2 disaccharide units. We apply the principles to sequence analysis of closely related isomeric oligosaccharides and demonstrate by microarray analyses distinct binding activities of antibodies and a lectin toward various combinations of type 1 and 2 units joined by 1,3- and 1,6-linkages. These sequence-specific carbohydrate-binding proteins are in turn valuable tools for detecting and distinguishing the type 1 and type 2-based developmentally regulated glycan sequences.