Structural characterization of sulfated glycans through mass spectrometry (MS) has been often limited by their low abundance in biological materials and inefficient ionization in the positive-ion mode. Here, we describe a microscale method for sequentially enriching sulfated glycans according to their degree of sulfation. This method is based on modifying the binding ability of strong anion-exchange material through the use of different sodium acetate concentrations, thus enabling fairly selective binding and a subsequent elution of different glycans according to their degree of sulfation. Before this enrichment, the negative charge on the sialic acid, which is commonly associated with such glycans, was eliminated through permethylation that is used to enhance the positive-ion mode matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-MS) signal for all glycans. This enrichment approach minimizes competitive ionization between sulfated and neutral glycans, as well as that between sulfated species with a different degree of sulfation. The described method was initially optimized using sulfated oligosaccharide standards, while its potential has been verified for the sulfated N-glycans originated from the bovine thyroid-stimulating hormone (bTSH), a glycoprotein possessing mono- and disulfated N-glycans. This enhancement of the MALDI-MS signal facilitates analysis of some otherwise undetected components.

As the role of O-linked oligosaccharides have been demonstrated to be increasingly important in numerous medical conditions, it is imperative to develop new techniques allowing their analysis at high sensitivity. While mass spectrometry (MS) provides adequate measurements of important O-linked oligosaccharides glycans and their profiles, the release from glycoproteins has not been sufficiently addressed for the needs of biomedical applications. This work describes a new strategy, involving the combination of a complete enzymatic degradation with a chemical release during the solid-phase permethylation of O-linked oligosaccharides. The analytical data implicate highly effective cleavage from the serine and threonine (but not arginine) residues, during permethylation. Tandem MS analyses confirmed these observations for model glycoproteins. Comparative measurements through isotopic labeling MS show this approach to be vastly superior over the previously used cleavage procedures.

Glycocylation represents the most complex and widespread post-translational modifications in human proteins. The variation of glycosylation is closely related to oncogenic transformation. Therefore, profiling of glycans detached from proteins is a promising strategy to identify biomarkers for cancer detection. This study identified candidate glycan biomarkers associated with hepatocellular carcinoma by mass spectrometry. Specifically, mass spectrometry data were analyzed with a peak selection procedure which incorporates multiple random sampling strategies with recursive feature selection based on support vector machines. Ten peak sets were obtained from different combinations of samples. Seven peaks were shared by each of the ten peaksets, in which 7-12 peaks were selected, indicating 58%-100% of peaks were shared by the ten peaksets. SVM and hierarchical clustering method were used to evaluate the performance of the peak sets. The predictive performance of the seven peaks was further evaluated by using 19 MALDI-TOF spectra newly generated. Glycan structures for four glycans of the seven peaks were determined. Literature search indicated that these four glycan stuctures could be identified from the some cancer-related glycoproteins. The method of this study is significant in deriving consistent, accurate, and biological significant glycan marker candidates for hepatocellular carcinoma diagnosis.

We describe here the fast LC-MS/MS separation of a mixture of neurotransmitters consisting of dopamine, epinephrine, norepinephrine, 3,4-dihydroxybenzylamine (DHBA), salsolinol, serotonin, and gamma-aminobutyric acid (GABA). The new UltiMate(R) 3000 Rapid Separation system (RSLC) was successfully coupled to the 4000 QTRAP mass spectrometer operating in multiple-reaction monitoring (MRM) mode. The separation was attained using a 100 mm length, 2.2 mum particle size Acclaim column at a flow rate of 0.5 mL/min. The column back pressure was 350 bar, while the total run time including column re-equilibration was 5.2 min. The peak resolution was minimally affected by the fast separation. The RSLC-MRM separation was found to have a precision range based on peak area for 50 replicate runs of 2-5% CV for all analytes, and the reproducibility of the retention time for all analytes was found to range from 0-2% CV. The described method represents an almost seven times shorter analysis time of neurotransmitters using LC/MRM which is very useful in screening large quantities of biological samples for various neurotransmitters.

MALDI mass spectrometric characterization of sulfated glycans is often challenging due to their low ionization response in the positive ion mode. Here we demonstrate a new analytical approach, allowing the measurement of sulfated glycans by substituting the sulfate group with a deuteromethyl group. Sulfated glycan samples are initially permethylated before the methanolytic cleavage of their sulfate groups. Desulfated and permethylated glycans are then subjected to another permethylation step using deuteromethyl iodide to label the hydroxyl groups resulting from methanolysis. The number of attached sulfate groups is subsequently calculated from the mass-shift resulting from the chemical cleavage of these sulfate groups. The position of the sulfate substitution is then determined by collision-induced dissociation (CID) tandem mass spectrometry of permethylated and permethylated plus deuteromethylated samples. The described approach was initially optimized and validated using linear standard glycans, while its effectiveness has also been demonstrated here for the N-glycans derived from bovine thyroid-stimulating hormone (bTSH).

Aberrant glycosylation has been implicated in various types of cancers and changes in glycosylation may be associated with signaling pathways during malignant transformation. Glycomic profiling of blood serum, in which cancer cell proteins or their fragments with altered glycosylation patterns are shed, could reveal the altered glycosylation. We performed glycomic profiling of serum from patients with no known disease (N = 18), patients with high grade dysplasia (HGD, N = 11) and Barrett's esophagus (N = 5), and patients with esophageal adenocarcinoma (EAC, N = 50) in an attempt to delineate distinct differences in glycosylation between these groups. The relative intensities of 98 features were significantly different among the disease onsets; 26 of these correspond to known glycan structures. The changes in the relative intensities of three of the known glycan structures predicted esophageal adenocarcinoma with 94% sensitivity and better than 60% specificity as determined by receiver operating characteristic (ROC) analysis. We have demonstrated that comparative glycomic profiling of EAC reveals a subset of glycans that can be selected as candidate biomarkers. These markers can differentiate disease-free from HGD, disease-free from EAC, and HGD from EAC. The clinical utility of these glycan biomarkers requires further validation.

A simple, sensitive, and rapid quantitative LC-MS/MS assay was designed for the simultaneous quantification of free and glycoprotein bound monosaccharides using a multiple reaction monitoring (MRM) approach. This study represents the first example of using LC-MS/MS methods to simultaneously quantify all common glycoprotein monosaccharides, including neutral and acidic monosaccharides. Sialic acids and reduced forms of neutral monosaccharides are efficiently separated using a porous graphitized carbon column. Neutral monosaccharide molecules are detected as their alditol acetate anion adducts [M + CH(3)CO(2)](-) using electrospray ionization in negative ion MRM mode, while sialic acids are detected as deprotonated ions [M - H](-). The new method exhibits very high sensitivity to carbohydrates with limits of detection as low as 1 pg for glucose, galactose, and mannose, and below 10 pg for other monosaccharides. The linearity of the described approach spans over three orders of magnitudes (pg to ng). The method effectively quantified monosaccharides originating from as little as 1 microg of fetuin, ribonuclease B, peroxidase, and alpha(1)-acid glycoprotein human (AGP) with results consistent with literature values and with independent CE-LIF measurements. The method is robust, rapid, and highly sensitive. It does not require derivatization or postcolumn addition of reagents.

This chapter discusses in detail a miniaturized version of the widely used permethylation technique which permits quantitative derivatization of oligosaccharides derived from minute quantities of glycoprotein. The approach involves packing of sodium hydroxide powder or beads in a microcolumn format, including spin columns, fused silica capillaries (500 mum i.d.) and plastic tubes (1 mm i.d.). The derivatization proceeds effectively in less than a minute time scale and it is applicable to glycans derived from femtomole quantities of glycoproteins. Prior to mass spectrometry (MS), methyl iodide is added to analytes suspended in dimethyl sulfoxide solution containing traces of water. The reaction mixture is then immediately infused through the microreactor. The packed sodium hydroxide powder or beads inside the microcolumns minimize oxidative degradation and peeling reactions which are otherwise commonly associated with the conventional permethylation technique. In addition, this solid-phase permethylation approach eliminates the need for excessive sample clean-up. As demonstrated below, picomole amounts of various types of glycans derived from model glycoproteins as well as real samples, including linear and branched, sialylated and neutral glycans were shown to become rapidly and efficiently permethylated through this approach.

Glycosylation of proteins is one of the most common posttranslational modifications which has its bearing on function and biological activity. Assigning the glycosylation sites and their inherent microheterogenei-ties are key structural issues addressing various glycoprotein functions. This chapter describes three different approaches all based on liquid chromatography/tandem mass spectrometry (LC/MS-MS), which are commonly employed for the assignment of protein glycosylation sites and their microheterogeneities. Comparing the LC/MS-MS analysis of a native glycoprotein tryptic digest to that of a deglycosylated tryptic digest can be accomplished through a routine LC/MS instrument. The use of a scanning mass spectrometer capable of switching between high-voltage and low-voltage scans, combined with monitoring carbohydrate-characteristic oxonium ions, is yet another analytical approach utilized for characterization of the glycosylation sites of glycoproteins. These two approaches do not address the problem originating from the ion suppression associated with coeluting peptides. The use of on-line glycopeptide enrichment in conjunction with LC/MS-MS is a third approach, which reduces ion suppression, thus offering a more sensitive approach to the characterization of protein glycosylation sites.

The difference in serum phospholipid content between stage-IV breast cancer patients and disease-free individuals was studied by employing a combination of chemometric statistical analysis tools and mass spectrometry. Chloroform-extracted serum samples were profiled for their lipid class composition and structure using precursor ion, neutral loss, and product ion tandem mass spectrometric (MS/MS) scanning experiments. Changes in the relative abundance of phospholipids in serum as a consequence of cancer progression, measured through electrospray ionization (ESI) mass spectrometry of flow-injected serum samples collected from 25 disease-free individuals and 50 patients diagnosed with stage-IV breast cancer, were statistically evaluated using principal component analysis (PCA), analysis of variance (ANOVA) and receiver operating characteristic (ROC) analysis. Lipids whose abundance changed significantly as a consequence of cancer progression were structurally characterized using product ion spectra, and independently quantified using precursor ion scan experiments against an internal standard of known concentration. Phosphocholine lipids that displayed a statistically significant change as a consequence of cancer progression were found to contain an oxidized fatty acid moiety as determined by MS(3) experiments. Copyright (c) 2009 John Wiley & Sons, Ltd.