A Method for In-Depth Structural Annotation of Human Serum Glycans That Yields Biological Variations

Glycosylation is an important post-translational modification of proteins present in the vast majority of human proteins. For this reason, they are potentially new sources of biomarkers and active targets of therapeutics and vaccines. However, the absence of a biosynthetic template as in the genome and the general complexity of the structures have limited the development of methods for comprehensive structural analysis. Even now, the exact structures of many abundant N-glycans in serum are not known. Structural elucidation of oligosaccharides remains difficult and time-consuming. Here, we introduce a means of rapidly identifying released N-glycan structures using their accurate masses and retention times based on a glycan library. This serum glycan library, significantly expanded from a previous one covering glycans released from a handful of serum glycoproteins, has more than 170 complete and partial structures and constructed instead from whole serum. The method employs primarily nanoflow liquid chromatography and accurate mass spectrometry. The method allows us to readily profile N-glycans in biological fluids with deep structural analysis. This approach is used to determine the relative abundances and variations in the N-glycans from several individuals providing detailed variations in the abundances of the important N-glycans in blood

Method for the Identification of Lipid Classes Based on Referenced Kendrick Mass Analysis

A rapid method for the determination of lipid classes with high sensitivity is described. The referenced Kendrick mass defect (RKMD) and RKMD plots are novel adaptations of the Kendrick mass defect analysis that allows for the rapid identification of members of a homologous series in addition to identifying the lipid class. Assignment of lipid classes by the RKMD method is accomplished by conversion of the lipid masses to the Kendrick mass scale and then referencing the converted masses to each lipid class. Referencing of the masses to a given lipid class is achieved by first subtracting the heteroatom and lipid backbone contributions to the mass defect, leaving behind the contribution to the mass by the fatty acid constituents. The final step in the referencing makes use of spacing differences in mass defects between members of the same Kendrick class to identify members of the lipid class being referenced. The end result of this is that a lipid belonging to the class being referenced will have an integer RKMD with the value of the integer being the degrees of unsaturation in the lipid. The RKMD method was able to successfully identify the lipids in an idealized data set consisting of 160 lipids drawn from the glyceride and phosphoglyceride classes. As a real world example the lipid extract from bovine milk was analyzed using both accurate mass measurements and the RKMD method

Alkaline Degradation of Oligosaccharides Coupled with Matrix-Assisted Laser Desorption/Ionization Fourier Transform Mass Spectrometry: A Method for Sequencing Oligosaccharides

A new technique for determining sequence and linkage information of underivatized oligosaccharides is developed using alkaline degradation and matrix-assisted laser desorption/ionization Fourier transform mass spectrometry (MALDI-FTMS). Alkaline degradation (also known as the “peeling” reaction) is a chemical degradation technique that only cleaves the glycosidic bond at the reducing end by β-elimination to yield a new reducing end. The reaction products are sampled directly with minimal cleanup and monitored by MALDI-FTMS to elucidate the oligosaccharide sequence. Linkage information is provided by cross-ring cleavage fragmentation of the new reducing ends, created by either MALDI source fragmentation or sustained off-resonance irradiation collision-induced dissociation. This method is illustrated by the successful sequence and linkage determination of neutral, branched, fucosylated, and sialylated oligosaccharides. Experiments on differently linked disaccharides are also performed to determine the specificity of the cross-ring cleavage reactions. The power of this technique is enhanced by the Fourier transform mass analyzer, which provides high-resolution, exact mass, and facile tandem mass spectrometry experiments of MALDI-produced ions

In-Depth Method for the Characterization of Glycosylation in Manufactured Recombinant Monoclonal Antibody Drugs

The glycosylation in recombinant monoclonal antibody (rMab) drugs is a major concern in the biopharmaceutical industry as it impacts the drugs’ many attributes. Characterization is important but complicated by the intricate structures, microheterogeneity, and the limitations of current tools for structural analysis. In this study, we developed a liquid chromatography–mass spectrometry (LC–MS) N-glycan library based on eight commercial rMab drugs. A library of over 70 structures was developed for the rapid characterization of rMab. N-Glycans were separated on a porous graphitized carbon (PGC) column incorporated on a chip and then analyzed by an electrospray ionization hybrid quadrupole time-of-flight (ESI-Q-TOF) MS. The retention time and accurate mass for each N-glycan were recorded in the library. The complete structures were obtained through exoglycosidase sequencing. The results showed that most of the N-glycans between different antibodies are nearly the same with different abundances. The utility of this library enables one to identify structures in a rapid manner by matching LC retention times and accurate masses

Annotation and Structural Analysis of Sialylated Human Milk Oligosaccharides

Sialylated human milk oligosaccharides (SHMOs) are important components of human milk oligosaccharides. Sialic acids are typically found on the nonreducing end and are known binding sites for pathogens and aid in neonates’ brain development. Due to their negative charge and hydrophilic nature, they also help modulate cell−cell interactions. It has also been shown that sialic acids are involved in regulating the immune response and aid in brain development. In this study, the enriched SHMOs from pooled milk sample were analyzed by HPLC-Chip/QTOF MS. The instrument employs a microchip-based nano-LC column packed with porous graphitized carbon (PGC) to provide excellent isomer separation for SHMOs with highly reproducible retention time. The precursor ions were further examined with collision-induced dissociation (CID). By applying the proper collision energy, isomers can be readily differentiated by diagnostic peaks and characteristic fragmentation patterns. A set of 30 SHMO structures with retention times, accurate masses, and MS/MS spectra was deduced and incorporated into an HMO library. When combined with previously determined neutral components, a library with over 70 structures is obtained allowing high-throughput oligosaccharide structure identification

A Novel and Rapid Encoding Method Based on Mass Spectrometry for “One-Bead-One-Compound” Small Molecule Combinatorial Libraries

A novel and efficient encoding method based on mass spectrometry for “one-bead-one-compound” small molecule combinatorial libraries has been developed. The topologically segregated bifunctional resin beads with orthogonal protecting groups in the outer and inner regions are first prepared according to our previously published procedure. Prior to library synthesis, the inner core of each bead is derivatized with 3−4 different coding blocks on a cleavable linker. Each functional group on the scaffold is encoded by an individual coding block containing a functional group with the same chemical reactivity. During the library synthesis, the same chemical reactions take place on the scaffold (outer layer of the bead) and coding blocks (inner core of the bead) concurrently. After screening, the coding tags in the positive beads are released, followed by molecular mass determination using matrix-assisted laser desorption ionization Fourier transform mass spectrometry. The chemical structure of library compounds can be readily identified according to the molecular masses of the coding tags. The feasibility and efficiency of this approach were demonstrated by the synthesis and screening of a model small molecule library containing 84 672 member compounds, with a model receptor, streptavidin. Streptavidin binding ligands with structural similarity (17) were identified. The decoding results were clear and unambiguous

Enhanced Detection and Identification of Glycopeptides in Negative Ion Mode Mass Spectrometry

A combined mass spectrometry (MS) and tandem mass spectrometry (MS/MS) approach implemented with matrix-assisted laser desorption ionization Fourier transform ion cyclotron resonance mass spectrometry (MALDI FTICR MS) in the negative ion mode is described for enhanced glycopeptide detection and MS/MS analysis. Positive ion mode MS analysis is widely used for glycopeptide characterization, but the analyses are hampered by potential charge-induced fragmentation of the glycopeptides and poor detection of the glycopeptides harboring sialic acids. Furthermore, tandem MS analysis (MS/MS) via collision-induced dissociation (CID) of glycopeptides in the positive ion mode predominantly yields glycan fragmentation with minimal information to verify the connecting peptide moiety. In this study, glycoproteins such as, bovine lactoferrin (b-LF) for N-glycosylation and kappa casein (k-CN) for O-glycosylation were analyzed in both the positive- and negative ion modes after digestion with bead-immobilized Pronase. For the b-LF analysis, 44 potential N-linked glycopeptides were detected in the positive ion mode while 61 potential N-linked glycopeptides were detected in the negative ion mode. By the same token, more O-linked glycopeptides mainly harboring sialic acids from k-CN were detected in the negative ion mode. The enhanced glycopeptide detection allowed improved site-specific analysis of protein glycosylation and superior to positive ion mode detection. Overall, the negative ion mode approach is aimed toward enhanced N- and O-linked glycopeptide detection and to serve as a complementary tool to positive ion mode MS/MS analysis

Polymerase Chain Reaction, Nuclease Digestion, and Mass Spectrometry Based Assay for the Trinucleotide Repeat Status of the Fragile X Mental Retardation 1 Gene

CGG repeat expansions in the 5′ noncoding region of the fragile X mental retardation 1 gene (FMR1) give rise to both neurodevelopmental and neurodegenerative human diseases depending on the length of the expansion. Expansions beyond 200 repeats (full mutation) generally result in gene silencing and fragile X syndrome (FXS), the leading heritable form of cognitive impairment and autism. Smaller expansions (55−200 CGG repeats; “premutation”) give rise to the neurodegenerative disorder fragile X-associated tremor/ataxia syndrome (FXTAS) through an entirely distinct, toxic mRNA gain-of-function mechanism. A rapid means for both high-risk and newborn screening for allele size would provide a greater opportunity for early intervention and family counseling as well as furnish critical data on repeat size distribution and expanded allele frequencies. In the current work, we propose a novel mass spectrometry (MS) based method for the rapid identification of expanded CGG repeats to complement a recently described polymerase chain reaction (PCR) method for large population screening. In this combined approach, the optimized PCR method is used to amplify the relevant region of FMR1, followed by extensive nonspecific nuclease digestion. The resulting oligonucleotides are analyzed by MS in a manner that provides the relative proportion of triplet repeat oligonucleotides in seconds per sample. This assay enables swift and reproducible detection of expanded CGG alleles using a single blood spot and in principle is suitable for large scale studies and newborn screening. Moreover, this analytical scheme establishes a unique new intersection of MS with molecular biology, with potential for significant interdisciplinary impact

Development of an Annotated Library of Neutral Human Milk Oligosaccharides

Human milk oligosaccharides (HMOs) perform a number of functions including serving as prebiotics to stimulate the growth of beneficial intestinal bacteria, as receptor analogues to inhibit binding of pathogens, and as substances that promote postnatal brain development. There is further evidence that HMOs participate in modulating the human immune system. Because the absorption, catabolism, and biological function of oligosaccharides (OS) have strong correlations with their structures, structure elucidation is key to advancing this research. Oligosaccharides are produced by competing enzymes that provide the large structural diversity and heterogeneity that characterizes this class of compounds. Unlike the proteome, there is no template for oligosaccharides, making it difficult to rapidly identify oligosaccharide structures. In this research, annotation of the neutral free oligosaccharides in milk is performed to develop a database for the rapid identification of oligosaccharide structures. Our strategy incorporates high performance nanoflow liquid chromatography and mass spectrometry for characterizing HMO structures. HPLC-Chip/TOF MS provides a sensitive and quantitative method for sample profiling. The reproducible retention time and accurate mass can be used to rapidly identify the OS structures in HMO samples. A library with 45 neutral OS structures has been constructed. The structures include information regarding the epitopes such as Lewis type, as well as information regarding the secretor status