An alpha-numeric code for representing N-linked glycan structures in secreted glycoproteins

Advances in high-throughput techniques have led to the creation of increasing amounts of glycome data. The storage and analysis of this data would benefit greatly from a compact notation for describing glycan structures that can be easily stored and interpreted by computers. Towards this end, we propose a fixed-length alpha-numeric code for representing N-linked glycan structures commonly found in secreted glycoproteins from mammalian cell cultures. This code, GlycoDigit, employs a pre-assigned alpha-numeric index to represent the monosaccharides attached in different branches to the core glycan structure. The present branch-centric representation allows us to visualize the structure while the numerical nature of the code makes it machine readable. In addition, a difference operator can be defined to quantitatively differentiate between glycan structures for further analysis. The usefulness and applicability of GlycoDigit were demonstrated by constructing and visualizing an N-linked glycosylation network.     

Glycomic profiling of invasive and non-invasive breast cancer cells

Quantitative profiling of glycans with different structures appears essential for a better understanding of the cellular adhesion phenomena associated with malignant transformation and the underlying aberrant glycosylation of cancer cells. Using the recently developed glycomic techniques and mass-spectrometric measurements, we compare the N-linked and O-linked oligosaccharide profiles for different breast cancer cell lines with those of normal epithelial cells. Statistically significant differences in certain neutral, sialylated and fucosylated structures are readily discerned through quantitative measurements, indicating a potential of distinguishing invasive and non-invasive cancer attributes. The glycomic profile data cluster accordingly using Principal Component Analysis, verifying further glycobiological differences due to the differences between normal and cancer cell lines.     

Evaluation of laser microdissection as a tool in cancer glycomic studies

Laser microdissection (LMD) is a recent development that enables the isolation of specific cell populations from tissue sections. This study focuses on the potential of LMD as a tool in cancer glycomics using colon cancer as a model. LMD was performed on hematoxylin and eosin stained frozen tissue sections. Tumor cells and normal epithelial cells were selectively microdissected. N-Glycans from the LMD- and the bulk tissue-derived samples were liberated by hydrazinolysis and then labeled with 2-aminopyridine. After sialidase digestion, the resulting asialo-N-glycans were analyzed by normal and reversed phase HPLC combined with mass spectrometry. Comparison of the various N-glycan profiles with the aid of LMD identified seven characteristic N-glycans with significantly different expression profiles between normal and cancerous cells that could not be detected by conventional analysis. Thus, LMD is a potent and useful tool for analyzing variations in the expression of N-glycans by overcoming the problem of tissue sample heterogeneity.     

MALDI-QTOFMS/MS identification of glycoforms from the urine of a CDG patient

Identification of single glycoconjugate components in a complex mixture from the urine of a patient suffering from a congenital disorder of glycosylation was probed by MALDIMS analysis on a hybrid quadrupole time-of-flight instrument. In negative ion mode, complex maps containing more than 50 ionic species were obtained and a number of molecular ions directly as-signed using a previously developed computer-assisted algorithm. To confirm the data and determine the carbohydrate sequence, single molecular ions were selected and submitted to fragmentation experiments. Interpretation of fragmentation spectra was also assisted by the soft-ware using alignment with spectra generated in silico. According to fragmentation data, the majority of glycoconjugate ionic species could be assigned to free oligosaccharides along with ten species tentatively assigned to glycopeptides. Following this approach for glycan identification by a combination of MALDI-QTOFMS and MS/MS experiments, computer-assisted assignment and fragment analysis, data for a potential glycan data base are produced. Of high benefit for this approach are two main factors: low sample consumption due to the high sensitivity of ion formation, and generation of only singly charged species in MALDIMS allowing interpretation with-out any deconvolution. In this experimental set-up, sequencing of single components from the MALDI maps by low energy CID followed by computer-assisted assignment and data base search is proposed as a most efficient strategy for the rapid identification of complex carbohydrate structures in clinical glycomics.     

Optimization of evanescent-field fluorescence-assisted lectin microarray for high-sensitivity detection of monovalent oligosaccharides and glycoproteins

Lectin microarray is an emerging technique, which will accelerate glycan profiling and discovery of glycan-related biomarkers. One of the most important stages in realizing the potential of the technique is to achieve sufficiently high sensitivity to detect even the low concentrations of some target glycoproteins which occur in sera or tissues. Previously, we developed a lectin microarray based on an evanescent-field fluorescence-assisted detection principle that allows rapid profiling of glycoproteins. Here, we report optimization of procedures for lectin spotting and immobilization to improve the sensitivity and reproducibility of the lectin microarray. The improved microarray allows high-sensitivity detection of even monovalent oligosaccharides that generally have a low affinity with lectins (K(d)>10(-6) M). The LOD observed for RCA120, a representative plant lectin, with asialofetuin, and an asialo-biantennary N-glycan probe were determined to be 100 pg/mL and 100 pM, respectively. With the improved lectin microarray system, closely related structural isomers, i.e., Le(a) and Le(x), were clearly differentiated by the difference in signal patterns on relevant multiple lectins, even though specific lectins to detect these glycan structures were not available. The result proved a previously proposed concept of lectin-based glycan profiling.     

Frontiers in glycomics: bioinformatics and biomarkers in disease. An NIH white paper prepared from discussions by the focus groups at a workshop on the NIH campus, Bethesda MD (September 11-13, 2006)

Key issues relating to glycomics research were discussed after the workshop entitled "Frontiers in Glycomics: Bioinformatics and Biomarkers in Disease" by two focus groups nominated by the organizers. The groups focused on two themes: (i) glycomics as the new frontier for the discovery of biomarkers of disease and (ii) requirements for the development of informatics for glycomics and glycobiology. The mandate of the focus groups was to build consensus on these issues and develop a summary of findings and recommendations for presentation to the NIH and the greater scientific community. A list of scientific priorities was developed, presented, and discussed at the workshops. Additional suggestions were solicited from workshop participants and collected using the workshop mailing list. The results are summarized in this White Paper, authored by the co-chairs of the focus groups.     

MS-based glycomic strategies for probing the structural details of polylactosaminoglycan chain on N-glycans and glycoproteomic identification of its protein carriers

Most MS-based glycomic and glycoproteomic analyses focus on identifying changes in terminal glyco-epitopes represented by sialylation and fucosylation at specific positions of the terminal N-acetyllactosamine units. Much less attention was accorded to the underlying linear or branched poly-N-acetyllactosamine extension from the N-glycan trimannosyl core other than a simple inference of its presence due to mass data and hence glycosyl compositional assignment. Using the EA.hy926 cell line derived from human umbilical vein endothelial cells (HUVEC), we have systematically investigated the MALDI- and ESI-MS-based methodologies for probing the structural details of endothelial polylactosaminoglycans at both MS and MS(2) levels in conjunction with the use of endo-β-galactosidase to identify branching motifs and initiation sites. We showed that the polylactosaminoglycan chains on the N-glycans of EA.hy926 were less sialylated and fucosylated but more extended and branched than those of human umbilical vein endothelial cells, thus demonstrating a fundamental glycomic difference. For EA.hy926 that was investigated in more details, its polylactosaminoglycan chains were shown to be not restricted to extending from a specific antenna including the biologically important 6-arm position. Finally, experimental conditions for glycopeptide enrichment by tomato lectin were further optimized, which led to identification of over 40 candidate endothelial membrane protein carriers of polylactosaminoglycans by proteomic analysis.     

UniCarbKB: putting the pieces together for glycomics research

Despite the success of several international initiatives the glycosciences still lack a managed infrastructure that contributes to the advancement of research through the provision of comprehensive structural and experimental glycan data collections. UniCarbKB is an initiative that aims to promote the creation of an online information storage and search platform for glycomics and glycobiology research. The knowledgebase will offer a freely accessible and information-rich resource supported by querying interfaces, annotation technologies and the adoption of common standards to integrate structural, experimental and functional data. The UniCarbKB framework endeavors to support the growth of glycobioinformatics and the dissemination of knowledge through the provision of an open and unified portal to encourage the sharing of data. In order to achieve this, the framework is committed to the development of tools and procedures that support data annotation, and expanding interoperability through cross-referencing of existing databases. Database URL: http://www.unicarbkb.org.     

Proposed second class of Haemophilus ducreyi strains show altered protein and lipooligosaccharide profiles

Haemophilus ducreyi is the etiologic agent of chancroid, a sexually transmitted genital ulcer disease. Previously we have shown that the protein profiles and lipooligosaccharide (LOS) structures from various strains of H. ducreyi are generally well conserved. Previous studies have demonstrated that at least one strain, 33921, has a variant protein profile and LOS structure. In this study, both the whole cell lysate and the membrane proteins from strain 33921 were further examined and compared to the prototypical strain 35000HP by 2-DE and by the 16-BAC (benzyldimethyl-n-hexadecylammonium chloride)/SDS-PAGE two-detergent system, respectively. These comparisons demonstrated that a number of the proteins that could be identified from both strains had altered positions on the gels, both in their apparent molecular weight and pI values. Strain 33921 has been suggested to be a member of a second class of strains, termed class II strains. In this study, the proteomic profiles and the LOS structures from the five potential class II strains were examined and found to be similar to strain 33921.