Advances in Tools to Determine the Glycan-Binding Specificities of Lectins and Antibodies

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Highlights

• •Lectins and glycan-binding antibodies are valuable as probe of glycans.
• •Advanced bioinformatics tools enable the mining of glycan-array data.
• •New insights into protein-glycan interactions have value in biological research.

     

Protein Paucimannosylation Is an Enriched N‐Glycosylation Signature of Human Cancers

While aberrant protein glycosylation is a recognized characteristic of human cancers, advances in glycoanalytics continue to discover new associations between glycoproteins and tumorigenesis. This glycomics‐centric study investigates a possible link between protein paucimannosylation, an under‐studied class of human N‐glycosylation [Man_1‐3GlcNAc₂Fuc_0‐1], and cancer. The paucimannosidic glycans (PMGs) of 34 cancer cell lines and 133 tissue samples spanning 11 cancer types and matching non‐cancerous specimens are profiled from 467 published and unpublished PGC‐LC‐MS/MS N‐glycome datasets collected over a decade. PMGs, particularly Man_2‐3GlcNAc₂Fuc₁, are prominent features of 29 cancer cell lines, but the PMG level varies dramatically across and within the cancer types (1.0–50.2%). Analyses of paired (tumor/non‐tumor) and stage‐stratified tissues demonstrate that PMGs are significantly enriched in tumor tissues from several cancer types including liver cancer (p = 0.0033) and colorectal cancer (p = 0.0017) and is elevated as a result of prostate cancer and chronic lymphocytic leukaemia progression (p < 0.05). Surface expression of paucimannosidic epitopes is demonstrated on human glioblastoma cells using immunofluorescence while biosynthetic involvement of N‐acetyl‐β‐hexosaminidase is indicated by quantitative proteomics. This intriguing association between protein paucimannosylation and human cancers warrants further exploration to detail the biosynthesis, cellular location(s), protein carriers, and functions of paucimannosylation in tumorigenesis and metastasis.     

Proteomics,Glycomics, and Glycoproteomics of Matrisome Molecules

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Highlights

• •Highly glycosylated matrisome proteins and their binding partners comprise extracellular networks that mediate tissue-specific cellular microenvironments.
• •Elucidation of roles of matrisome molecules in disease mechanisms requires detailed mapping of matrisome glycosylation and other post-translational modifications.
• •We review tissue workup methods for matrisome proteomics, glycomics and glycoproteomics.
• •The combination of proteomics, glycomics and glycoproteomics profiles matrisome protein modifications distinct from those studied by immunohistochemistry.

     

糖生物学和糖组学

糖生物学和糖组学,虽然都是研究糖类在机体中的作用,但是,它们分别有不同的视角。糖生物学是沿袭了糖化学、糖生物化学发展而来,着重研究糖类和蛋白质的相互作用;而糖组学则源于基因组学,以基因编码糖基转移酶为起始,由这些酶得到糖组,进而开展糖组的研究。     

A Novel Method for Relative Quantitation of N-Glycans by Isotopic Labeling Using 18O-Water

Quantitation is an essential aspect of comprehensive glycomics study. Here, a novel isotopic-labeling method is described for N-glycan quantitation using ¹⁸O-water. The incorporation of the ¹⁸O-labeling into the reducing end of N-glycans is simply and efficiently achieved during peptide-N4-(N-acetyl-β-glucosaminyl) asparagine amidase F release. This process provides a 2-Da mass difference compared with the N-glycans released in ¹⁶O-water. A mathematical calculation method was also developed to determine the ¹⁸O/¹⁶O ratios from isotopic peaks. Application of this method to several standard glycoprotein mixtures and human serum demonstrated that this method can facilitate the relative quantitation of N-glycans over a linear dynamic range of two orders, with high accuracy and reproducibility.     

Extraction of leukemia specific glycan motifs in humans by computational glycomics

There have been almost no standard methods for conducting computational analyses on glycan structures in comparison to DNA and proteins. In this paper, we present a novel method for extracting functional motifs from glycan structures using the KEGG/GLYCAN database. First, we developed a new similarity measure for comparing glycan structures taking into account the characteristic mechanisms of glycan biosynthesis, and we tested its ability to classify glycans of different blood components in the framework of support vector machines (SVMs). The results show that our method can successfully classify glycans from four types of human blood components: leukemic cells, erythrocyte, serum, and plasma. Next, we extracted characteristic functional motifs of glycans considered to be specific to each blood component. We predicted the substructure alpha-D-Neup5Ac-(2-->3)-beta-D-Galp-(1-->4)-D-GlcpNAc as a leukemia specific glycan motif. Based on the fact that the Agrocybe cylindracea galectin (ACG) specifically binds to the same substructure, we conducted an experiment using cell agglutination assay and confirmed that this fungal lectin specifically recognized human leukemic cells.     

微阵列技术在糖组学研究中的应用

糖组学是研究糖链组成及其功能的一门新学科,近年来备受关注.目前糖组学的研究还处于起步阶段,阻碍糖组学迅速发展的主要原因是糖链本身结构的复杂性和研究技术的限制.微阵列技术作为一种快速、高效、高通量、微型化和自动化的分析技术,已经在基因组学和蛋白质组学的研究中发挥了重要的作用,将其应用于糖组学研究必将推动糖组学的发展.