Glycosylation profiles of breast cancer cells may represent clonal variations of multiple organ metastases

Glycosylation changes of cancer cells are known to be associated with malignant progression and metastases and potentially determine the organ-selective nature of metastasis as theorized by Paget (Lancet 1:571-573, 1889). Cellular glycans play a variety of roles in the processes of metastasis and may be unique to the cells that metastasize to different organs. We analyzed the glycosylation profiles of the primary tumor and tumors metastasized to lymph node, liver, lung, brain, bone, thyroid, kidney, adrenal, small intestine and pancreas in an autopsy case of breast cancer employing a lectin microarray with 45 lectins. Clustering analysis of the data revealed that metastatic breast cancer cells were categorized into several clusters according to their glycosylation profiles. Our results provide a biological basis to understand differential phenotypes of metastatic breast cancer cells potentially reflecting clonal origin, which does not directly reflect genomic or genetic changes or microenvironmental effects but connects to glycosylation profiles.

Differential Glycoform Analysis of MUC1 Derived from Biological Specimens Using an Antibody-Overlay Lectin Microarray

The association between altered glycosylation of MUC1 and various disease events has sparked significant interest. However, analytical technologies to investigate the disease-related glycoforms of endogenous MUC1 in blood and tissue specimens are limited. Therefore, we devised a reliable technique for differential analysis of endogenous MUC1 glycoforms based on an antibody-assisted lectin microarray. Its highly sensitive detection aids in analyzing soluble MUC1 from relatively small amounts of serum via a simple enrichment process. Micro-/macro-dissection of the MUC1-positive region is combined with glycoform analysis of the membrane-tethered MUC1. Thus, we have optimized the protocol for sample qualification using immunohistochemistry, sample pretreatment for tissue sections, protein extraction, purification via immunoprecipitation, and the antibody-overlay lectin microarray, which are sequentially essential for differential glycoform analysis of endogenous MUC1.

An improved evanescent fluorescence scanner suitable for high-resolution glycome mapping of formalin-fixed paraffin-embedded tissue sections

Lectin microarray (LMA) is a high-throughput platform that enables the rapid and sensitive analysis of N- and O-glycans attached to glycoproteins in biological samples, including formalin-fixed paraffin-embedded (FFPE) tissue sections. Here, we evaluated the sensitivity of the advanced scanner based on the evanescent-field fluorescence principle, which is equipped with a 1× infinity correction optical system and a high-end complementary metal-oxide semiconductor (CMOS) image sensor in digital binning mode. Using various glycoprotein samples, we estimated that the mGSR1200-CMOS scanner has at least fourfold higher sensitivity for the lower limit of linearity range than that of a previous charge-coupled device scanner (mGSR1200). A subsequent sensitivity test using HEK293T cell lysates demonstrated that cell glycomic profiling could be performed with only three cells, which has the potential for the glycomic profiling of cell subpopulations. Thus, we examined its application in tissue glycome mapping, as indicated in the online LM-GlycomeAtlas database. To achieve fine glycome mapping, we refined the laser microdissection-assisted LMA procedure to analyze FFPE tissue sections. In this protocol, it was sufficient to collect 0.1 mm2 of each of the tissue fragments from 5-μm-thick sections, which differentiated the glycomic profile between the glomerulus and renal tubules of a normal mouse kidney. In conclusion, the improved LMA enables high-resolution spatial analysis, which expands the possibilities of its application classifying cell subpopulations in clinical FFPE tissue specimens. This will be used in the discovery phase for the development of novel glyco-biomarkers and therapeutic targets, and to expand the range of target diseases.

Characterization of aberrant glycosylation associated with osteoarthritis based on integrated glycomics methods

BACKGROUND

Osteoarthritis (OA) is the most common form of arthritis, affecting millions of aging people. Investigation of abnormal glycosylation is essential for the understanding of pathological mechanisms of OA.

METHODS

The total protein was isolated from OA (n = 13) and control (n = 11) cartilages. Subsequently, glycosylation alterations of glycoproteins in OA cartilage were investigated by lectin microarrays and intact glycopeptides analysis. Finally, the expression of glycosyltransferases involved in the synthesis of altered glycosylation was assessed by qPCR and GEO database.

RESULTS

Our findings revealed that several glycopatterns, such as α-1,3/6 fucosylation and high-mannose type of N-glycans were altered in OA cartilages. Notably, over 27% of identified glycopeptides (109 glycopeptides derived from 47 glycoproteins mainly located in the extracellular region) disappeared or decreased in OA cartilages, which is related to the cartilage matrix degradation. Interestingly, the microheterogeneity of N-glycans on fibronectin and aggrecan core protein was observed in OA cartilage. Our results combined with GEO data indicated that the pro-inflammatory cytokines altered the expression of glycosyltransferases (ALG3, ALG5, MGAT4C, and MGAT5) which may contribute to the alterations in glycosylation.

CONCLUSION

Our study revealed the abnormal glycopatterns and heterogeneities of site-specific glycosylation associated with OA. To our knowledge, it is the first time that the heterogeneity of site-specific N-glycans was reported in OA cartilage. The results of gene expression analysis suggested that the expression of glycosyltransferases was impacted by pro-inflammatory cytokines, which may facilitate the degradation of protein and accelerate the process of OA. Our findings provide valuable information for the understanding of molecular mechanisms in the pathogenesis of OA.

Retrospective screening of serum IgG glycosylation biomarker for primary Sjögren's syndrome using lectin microarray

Background

Primary Sjögren's syndrome (PSS) is a systemic autoimmune disease resulting in significant loss of systemic gland secretory function. IgG glycosylation abnormalities had been found to play important roles in autoimmune diseases. Here, we aim to explore the specific changes of IgG glycosylation in PSS patient serum that could serve as potential biomarkers for disease diagnosis and differential diagnosis.

Method

From 2012 to 2018, patients diagnosed with PSS or primary biliary cholangitis (PBC) admitted consecutively to the department of Rheumatology at Peking Union Medical College Hospital were retrospectively included in this study. Glycan profiles of serum IgG from 40 PSS patients, 50 PBC patients, and 38 healthy controls were detected with lectin microarray containing 56 lectins. Lectins with significantly different signal intensity among groups were selected and validated by lectin blot assay.

Results

Lectin microarray analysis revealed that binding levels of Amaranthus Caudatus Lectin (ACL, prefers glycan Galβ3GalNAc, P = 0.011), Morniga M Lectin (MNA-M, prefers glycan mannose. P = 0.013), and Lens Culinaris Agglutinin (LCA, prefers glycan fucose) were significantly increased, while Salvia sclarea Agglutinin (SSA, prefers glycan sialylation, P = 0.001) was significantly decreased in PSS patients compared to PBC group. Compared to healthy controls, MNA-M (P = 0.001) and LCA (P = 0.028) were also significantly increased, while Phaseolus Vulgaris Erythroagglutinin and Phaseolus Vulgaris Leucoagglutinin (PHA-E and PHA-L, prefer glycan galactose, P = 0.004 and 0.006) were significantly decreased in PSS patients. The results of LCA and MNA-M were further confirmed using lectin blot assay.

Conclusion

Changes in serum IgG glycosylation in PSS increased binding levels of LCA and MNA-M lectins using microarray techniques compared to PBC patients and healthy controls, which could provide potential diagnostic value. Increased core fucose and mannose alteration of IgG may play important roles in PSS disease.

Changes of serum IgG glycosylation patterns in rheumatoid arthritis

BACKGROUND

RA is a common chronic and systemic autoimmune disease, and the diagnosis is based significantly on autoantibody detection. This study aims to investigate the glycosylation profile of serum IgG in RA patients using high-throughput lectin microarray technology.

METHOD

Lectin microarray containing 56 lectins was applied to detect and analyze the expression profile of serum IgG glycosylation in 214 RA patients, 150 disease controls (DC), and 100 healthy controls (HC). Significant differential glycan profiles between the groups of RA and DC/HC as well as RA subgroups were explored and verified by lectin blot technique. The prediction models were created to evaluate the feasibility of those candidate biomarkers.

RESULTS

As a comprehensive analysis of lectin microarray and lectin blot, results showed that compare with HC or DC groups, serum IgG from RA patients had a higher affinity to the SBA lectin (recognizing glycan GalNAc). For RA subgroups, RA-seropositive group had higher affinities to the lectins of MNA-M (recognizing glycan mannose) and AAL (recognizing glycan fucose), and RA-ILD group had higher affinities to the lectins of ConA (recognizing glycan mannose) and MNA-M while a lower affinity to the PHA-E (recognizing glycan Galβ4GlcNAc) lectin. The predicted models indicated corresponding feasibility of those biomarkers.

CONCLUSION

Lectin microarray is an effective and reliable technique for analyzing multiple lectin-glycan interactions. RA, RA-seropositive, and RA-ILD patients exhibit distinct glycan profiles, respectively. Altered levels of glycosylation may be related to the pathogenesis of the disease, which could provide a direction for new biomarkers identification.

Altered glycosylation profiles of serum IgG in Takayasu arteritis

BACKGROUND

Takayasu arteritis (TAK) is an autoimmune inflammatory disorder with an undefined etiology. This study aimed to characterize the glycosylation profiles of serum immunoglobulin G (IgG) in patients with TAK.

METHODS

Lectin microarrays containing 56 types of lectins were used to detect the glycan levels of serum IgG in 164 patients with TAK, 128 patients with atherosclerosis used as disease controls (DCs), and 100 healthy controls (HCs). Differentially altered glycosylation patterns between TAK and control groups as well as between TAK subgroups were identified and further validated by lectin blot. The classification performance of the TAK-specific glycosylation change was measured by receiver-operating characteristic (ROC) curve analysis.

RESULTS

Lectin microarray analysis revealed significantly increased N-Acetylgalactosamine (GalNAc) levels in the TAK group compared to the DC and HC groups (all p < 0.01). For TAK subgroups, significantly decreased mannosylation was observed in patients with active TAK compared to patients with inactive disease (p < 0.01). These differences were validated by lectin blot. In addition, GalNAc levels exhibited a considerable potential for discriminating patients with TAK from patients with atherosclerosis, with an area under the curve of 0.749 (p < 0.001), a sensitivity of 71.7%, and a specificity of 73.8%.

CONCLUSIONS

Serum IgG in patients with TAK displayed disease-specific glycosylation alterations. Aberrant GalNAc glycosylation showed substantial value as a diagnostic biomarker. The potential proinflammatory properties of the abnormal glycans may provide new insights into the role of humoral immunity in the pathogenesis of TAK.

Spatiotemporal changes of tissue glycans depending on localization in cardiac aging

Heart failure is caused by various factors, making the underlying pathogenic mechanisms difficult to identify. Since cardiovascular disease tends to worsen over time, early diagnosis is key for treatment. In addition, understanding the qualitative changes in the heart associated with aging, where information on the direct influences of aging on cardiovascular disease is limited, would also be useful for treatment and diagnosis. To fill these research gaps, the focus of our study was to detect the structural and functional molecular changes associated with the heart over time, with a focus on glycans, which reflect the type and state of cells.

METHODS

We investigated glycan localization in the cardiac tissue of normal mice and their alterations during aging, using evanescent-field fluorescence-assisted lectin microarray, a technique based on lectin-glycan interaction, and lectin staining.

RESULTS

The glycan profiles in the left ventricle showed differences between the luminal side (medial) and wall side (lateral) regions. The medial region was characterized by the presence of sialic acid residues. Moreover, age-related changes in glycan profiles were observed at a younger age in the medial region. The difference in the age-related decrease in the level of α-galactose stained with Griffonia simplicifolia lectin-IB4 in different regions of the left ventricle suggests spatiotemporal changes in the number of microvessels.

CONCLUSIONS

The glycan profile, which retains diverse glycan structures, is supported by many cell populations, and maintains cardiac function. With further research, glycan localization and changes have the potential to be developed as a marker of the signs of heart failure.

Effectiveness of Selenium on Chondrocyte Glycoprotein Glycosylation Which Play Important Roles in the Pathogenesis of an Endemic Osteoarthritis, Kashin-Beck Disease

In this study, we aimed to explore the effectiveness of selenium on the chondrocyte glycoprotein glycosylation which plays important roles in the pathogenesis of Kashin-Beck disease (KBD). Cartilage samples were collected from KBD patients after total knee replacement surgery. Chondrocytes were cultured with sodium selenium. The group of chondrocytes which were cultured without adding sodium selenium was considered as control group. Lectin microarray was used to screen the differences in lectin levels between KBD and KBD with selenium groups. Stronger signals for Bandeiraea simplicifolia (BS-I), Hippeastrum hybrid lectin (HHL), Pisum sativum agglutinin (PSA), Psophocarpus tetragonolobus lectin I (PTL-I), Psophocarpus tetragonolobus lectin II (PTL-II), Sophora japonica agglutinin (SJA), Lotus tetragonolobus lectin (LTL), and Triticum vulgaris (WGA) were observed in the KBD group. Meanwhile, Aleuria aurantia lectin (AAL), Lens culinaris agglutinin (LCA), Lycopersicon esculentum (tomato) lectin (LEL), Peanut agglutinin (PNA), and Sambucus nigra lectin (SNA) signals were lower in the KBD group. Selenium may have the function of influence the expression levels of carbohydrate chains Galα1,3-Gal, high mannose, and GlcNAc.

Tissue Glycome Mapping: Lectin Microarray-Based Differential Glycomic Analysis of Formalin-Fixed Paraffin-Embedded Tissue Sections

Lectin microarray (LMA) is a high-sensitive glycan analysis technology used to obtain global glycomic profiles of both N- and O-glycans attached not only to purified glycoproteins but also to crude glycoprotein samples. Through additional use of laser microdissection (LMD) for tissue collection, we developed an LMA-based glycomic profiling technique for a specific type of cells in a tiny area of formalin-fixed paraffin-embedded (FFPE) tissue sections. This LMD-LMA method makes it possible to obtain reproducible tissue glycomic profiles that can be compared with each other, using a unified protocol for all procedures, including FFPE tissue preparation, tissue staining, protein extraction and labeling, and LMA analysis. Here, we describe the standardized LMD-LMA procedure for a "tissue glycome mapping" approach, which facilitates an in-depth understanding of region- and tissue-specific protein glycosylation. We also describe potential applications of the spatial tissue glycomic profiles, including histochemical analysis for evaluating distribution of lectin ligands and a fluorescence LMD-LMA method for cell type-selective glycomic profiling using a cell type-specific probe, composed of a lectin and an antibody. The protocols presented here will accelerate the effective utilization of FFPE tissue specimens by providing tissue glycome maps for the discovery of the biological roles and disease-related alterations of protein glycosylation.

Glycan characteristics of human heart constituent cells maintaining organ function: relatively stable glycan profiles in cellular senescence

Cell surface glycoproteins, which are good indicators of cellular types and biological function; are suited for cell evaluation. Tissue remodeling using various cells is a key feature of regenerative therapy. For artificial heart remodeling, a mixture of heart constituent cells has been investigated for organ assembly, however, the cellular characteristics remain unclear. In this study, the glycan profiles of human cardiomyocytes (HCMs), human cardiac fibroblasts (HCFs), and human vascular endothelial cells (ECs) were analyzed using evanescent-field lectin microarray analysis, a tool of glycan profiling, to clarify the required cellular characteristics. We found that ECs had more “α1-2fucose” and “core α1-6fucose” residues than other cells, and that “α2-6sialic acid” residue was more abundant in ECs and HCMs than in HCFs. HCFs showed higher abundance of “β-galactose” and “β-N-acetylgalactosamine” residues on N-glycan and O-glycan, respectively, compared to other cells. Interestingly, cardiac glycan profiles were insignificantly changed with cellular senescence. The residues identified in this study may participate in organ maintenance by contributing to the preservation of glycan components. Therefore, future studies should investigate the roles of glycans in optimal tissue remodeling since identifying cellular characteristics is important for the development of regenerative therapies.

High-precision multiclass cell classification by supervised machine learning on lectin microarray data

Introduction

Establishment of a cell classification platform for evaluation and selection of human pluripotent stem cells (hPSCs) is of great importance to assure the efficacy and safety of cell-based therapy. In our previous work, we introduced a discriminant function that evaluates pluripotency from the cells’ glycome. However, it is not yet suitable for general use.

Methods

The current study aims to establish a high-precision cell classification platform introducing supervised machine learning and test the platform on glycome analysis as a proof-of-concept study. We employed linear classification and neural network to the lectin microarray data from 1577 human cells and categorized them into five classes including hPSCs.

Results

The linear-classification-based model and the neural-network-based model successfully predicted the sample type with accuracies of 89% and 97%, respectively.

Conclusions

Because of the high recognition accuracies and the small amount of computing resources required for these analyses, our platform can be a high precision conventional cell classification system for hPSCs.

Articular chondrocytes from osteoarthritic knee joints of elderly, in vitro expanded in thermo-reversible gelation polymer (TGP), exhibiting higher UEA-1 expression in lectin microarray

Autologous chondrocytes in vitro expanded, are used as tools of regenerative therapies for cartilage injuries. However, inability to maintain the hyaline phenotype both in vitro and post in vivo transplantation, remains one of the major hurdles for long term efficacy under clinical settings. We have reported earlier, hyaline phenotype maintenance of both human and rabbit chondrocytes for a long duration both in vitro when cultured conditions using a Thermo-reversible Gelation Polymer (TGP) scaffold-based methodology and in vivo post-transplantation animal model of cartilage damage. Having intrigued by such encouraging outcome, we in this study, analysed the similar TGP culture environment whether would be able to allow in vitro expansion of severe osteoarthritis affected cartilage tissue from elderly patients and evaluated the cells using lectin microarray characterization for pluripotency. Cartilage tissue were obtained from patients (n = 7; age: 60–85 years) undergoing total knee arthroplasty for severe osteoarthritis. Chondrocytes were isolated and cultured in two groups: i. conventional culture without scaffold (2D) and ii. using a TGP scaffold-based culture (3D) up to 18 weeks. In addition to earlier reported findings such as maintenance of hyaline phenotype having been confirmed in this study as well, surface glycoprotein analysis by lectin microarray demonstrated that the α1-2 Fuc recognition lectin (UEA-1) (marker reported in literature for pluripotent stem cells) was found to be more highly expressed in 3D culture compared to 2D culture and even increased over time in 3D culture. We have developed an environment where osteoarthritis affected chondrocytes from the elderly could be cultured up to 18 weeks in vitro using TGP scaffold which express pluripotent cell associated surface glycoproteins compared to the conventional methodology.

•

Good quality chondrocytes were grown from cartilage tissue of elderly with severe osteoarthritis for 18 weeks in vitro.

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Inflamed donor chondrocytes could be revived to form normal tissue in a 3D in vitro TGP scaffold environment.

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Pluripotent stem cell marker UEA-1 in Lectin microarray was positive in TGP- Polymer scaffold grown cartilage.

Altered glycosylation associated with dedifferentiation of hepatocellular carcinoma: a lectin microarray-based study

Background

Altered glycosylation associated with hepatocellular carcinoma (HCC) is well documented. However, few reports have investigated the association between dedifferentiation and glycosylation. Therefore, the aim of this study was to analyze glycosylation associated with dedifferentiation of HCC within the same nodule and to investigate glycosyltransferase related to the glycosylation.

Methods

We analyzed resected HCC specimens (n = 50) using lectin microarray to comprehensively and sensitively analyze glycan profiles, and identify changes to glycosylation between well- and moderately-differentiated components within the same nodule. Moreover, we performed immunohistochemical staining of mannosyl(α-1,3-)-glycoprotein β-1,2-N-acetylglucosaminyltransferase (MGAT1), which is an essential glycosyltransferase that converts high-mannose glycans to complex- or hybrid-type N-glycans.

Results

Four lectins from Narcissus pseudonarcissus agglutinin (NPA), Concanavalin A, Galanthus nivalis agglutinin, and Calystegia sepium agglutinin were significantly elevated in moderately-differentiated components of HCC compared with well-differentiated components, and all lectins showed binding specificity to high-mannose glycans. Therefore, these structures were represented to a greater extent in moderately-differentiated components than in well-differentiated ones. Immunohistochemical staining revealed significantly increased NPA expression and decreased MGAT1 expression in moderately-differentiated components. Low MGAT1 expression in moderately-differentiated components of tumors was associated with intrahepatic metastasis and had tendency for poor prognosis.

Conclusion

Dedifferentiation of well-differentiated HCC is associated with an increase in high-mannose glycans. MGAT1 may play a role in the dedifferentiation of HCC.

Fucosyltransferase 8 plays a crucial role in the invasion and metastasis of pancreatic ductal adenocarcinoma

PURPOSE

Pancreatic ductal adenocarcinoma (PDAC) is the most common type of pancreatic cancer. It is an aggressive malignancy associated with poor prognosis because of recurrence, metastasis, and treatment resistance. Aberrant glycosylation of cancer cells triggers their migration and invasion and is considered one of the most important prognostic cancer biomarkers. The current study aimed to identify glycan alterations and their relationship with the malignant potential of PDAC.

METHODS

Using a lectin microarray, we evaluated glycan expression in 62 PDAC samples. Expression of fucosyltransferase 8 (FUT8), the only enzyme catalyzing core fucosylation, was investigated by immunohistochemistry. The role of FUT8 in PDAC invasion and metastasis was confirmed using an in vitro assay and a xenograft peritoneal metastasis mouse model.

RESULTS

The microarray data demonstrated that core fucose-binding lectins were significantly higher in carcinoma than in normal pancreatic duct tissues. Similarly, FUT8 protein expression was significantly higher in carcinoma than in normal pancreatic duct tissues. High FUT8 protein expression was significantly associated with lymph-node metastases and relapse-free survival. FUT8 knockdown significantly reduced the invasion in PDAC cell lines and impaired peritoneal metastasis in the xenograft model.

CONCLUSIONS

The findings of this study provide evidence that FUT8 plays a pivotal role in PDAC invasion and metastasis and might be a therapeutic target for this disease.

Glycoanalysis of the placental membrane glycoproteins throughout placental development

Structural changes of glycans are observed in different (patho)physiological conditions. Human placental membrane (glyco)proteins were isolated from the first and third trimester placentas of mothers at different ages. By using lectin microarray, we demonstrated that the placental membrane N-glycome contains several N-glycan groups: high mannose, asialylated and sialylated biantennary moieties, bisected, core fucosylated, fucosylated at other positions (bearing terminal and/or antennary Fuc), α2-6 and α2-3 sialylated structures. Employing MALDI-TOF MS enabled identification of over sixty different N-glycan structures in all samples, with 17 moieties exceeding the relative abundance of 2%. The major MS peaks originated from: 1) biantennary complex type N-glycan with a bisecting GlcNAc residue and 2) a core Fuc paucimannosidic and high mannose type structures M3-M9. Age of mothers and the stage of placental development affected N-glycome. The work presented in this article is the first comprehensive mass spectrometric study of the N-glycome of human placental membrane proteins. Our results may be seen as the baseline which can serve for future MALDI MS profiling of the placental membrane N-glycome in different pathophysiological conditions.

Stage-associated differences in the serum N- and O-glycan profiles of patients with non-small cell lung cancer

Background

Lung cancer is the leading cause of cancer death in China and around the world. Early detection is key to improving the survival rate of non-small cell lung cancer (NSCLC). Alteration in glycosylation has been observed in cancers, and glycans can be a source for the development of new biomarkers for NSCLC.

Methods

In this glycan biomarker discovery study, we measured serum N- and O-glycan profiles in NSCLC patients with different stages and healthy controls by performing lectin microarray analysis. The alterations of serum glycopatterns were compared between NSCLC patients and controls, and the stage-related changes in serum glycosylation were evaluated.

Results

There were 18 lectins (e.g., AAL, Jacalin, GSL-I and DBA) to give significantly alterations of serum glycopatterns in lung adenocarcinoma compared with control group. Meanwhile, 16 lectins (e.g., Jacalin, HHL, and PHA-E+L) exhibited significantly alterations of serum glycopatterns in squamous cell carcinoma (SCC) compared with control group. Importantly, most of the lectins showing altered signals exhibited significantly increased or decreased NFIs in patients with early stage adenocarcinoma and SCC.

Conclusions

The serum glycan profiles were significantly different between NSCLC and healthy control, and most of the glycosylation changes had occurred at early stage. Further evaluation is needed to examine the diagnostic value of the glycan markers identified in this study.

Characteristic glycopeptides associated with extreme human longevity identified through plasma glycoproteomics

BACKGROUND

Glycosylation is highly susceptible to changes of the physiological conditions, and accordingly, is a potential biomarker associated with several diseases and/or longevity. Semi-supercentenarians (SSCs; older than 105 years) are thought to be a model of human longevity. Thus, we performed glycoproteomics using plasma samples of SSCs, and identified proteins and conjugated N-glycans that are characteristic of extreme human longevity.

METHODS

Plasma proteins from Japanese semi-supercentenarians (SSCs, 106-109 years), aged controls (70-88 years), and young controls (20-38 years) were analysed by using lectin microarrays and liquid chromatography/mass spectrometry (LC/MS). Peak area ratios of glycopeptides to corresponding normalising peptides were subjected to orthogonal projections to latent structures discriminant analysis (OPLS-DA). Furthermore, plasma levels of clinical biomarkers were measured.

RESULTS

We found two lectins such as Phaseolus vulgaris, and Erythrina cristagalli (ECA), of which protein binding were characteristically increased in SSCs. Peak area ratios of ECA-enriched glycopeptides were successfully discriminated between SSCs and controls using OPLS-DA, and indicated that tri-antennary and sialylated N-glycans of haptoglobin at Asn207 and Asn211 sites were characterized in SSCs. Sialylated glycans of haptoglobin are a potential biomarker of several diseases, such as hepatocellular carcinoma, liver cirrhosis, and IgA-nephritis. However, the SSCs analysed here did not suffer from these diseases.

CONCLUSIONS

Tri-antennary and sialylated N-glycans on haptoglobin at the Asn207 and Asn211 sites were abundant in SSCs and characteristic of extreme human longevity.

GENERAL SIGNIFICANCE

We found abundant glycans in SSCs, which may be associated with human longevity.

Glycan analysis of colorectal cancer samples reveals stage-dependent changes in CEA glycosylation patterns

Background

Carcinoembryonic antigen (CEA) is a glycoprotein associated with colorectal cancer (CRC). While the functions of its gene and protein have been fully characterized, its post-translational modifications in the context of CRC development remain undefined.

Methods

To show the correlation between the different stages of CRC development and changes in the glycosylation patterns of CEA, we analyzed CEA in tumor tissues (CEA-T) and paired tumor-adjacent normal tissues (CEA-A) from 53 colorectal cancer patients using a high-density lectin microarray containing 56 plant lectins.

Results

We detected higher expression levels of fucose, mannose and Thomsen–Friedenreich antigen, and lower expression levels of N-acetylgalactosamine, N-acetylglucosamine, galactose, branched and bisecting N-glycans on CEA in the tumor tissues relative to the tumor-adjacent normal tissues. Furthermore, a combinatorial assessment of 9 lectins is sufficient to distinguish CRC tumor tissues from tumor-adjacent normal tissues with 83% sensitivity and ~ 90% specificity. Moreover, the levels of N-acetylgalactosamine, mannose, galactose, N-acetylglucosamine on CEA showed a downward trend after first experiencing an increase at Stage II with the stages of CRC.

Conclusions

Our insights into the changing CEA glycosylation patterns and their role in the development of CRC highlight the importance of glycan variants on CEA for early clinical detection and staging of CRC.

Electronic supplementary material

The online version of this article (10.1186/s12014-018-9182-4) contains supplementary material, which is available to authorized users.

N-glycan profiles in H9N2 avian influenza viruses from chicken eggs and human embryonic lung fibroblast cells

N-glycosylation can affect the host specificity, virulence and infectivity of influenza A viruses (IAVs). In this study, the distribution and evolution of N-glycosylation sites in the hemagglutinin (HA) and neuraminidase (NA) of H9N2 virus were explored using phylogenetic analysis. Then, one strain of the H9N2 subtypes was proliferated in the embryonated chicken eggs (ECE) and human embryonic lung fibroblast cells (MRC-5) system. The proliferated viral N-glycan profiles were analyzed by a glycomic method that combined the lectin microarray and MALDI-TOF/TOF-MS. As a result, HA and NA of H9N2 viruses prossess six and five highly conserved N-glycosylation sites, respectively. Sixteen lectins (e.g., MAL-II, SNA and UEA-I) had increased expression levels of the glycan structures in the MRC-5 compared with the ECE system; however, 6 lectins (e.g., PHA-E, PSA and DSA) had contrasting results. Eleven glycans from the ECE system and 13 glycans from the MRC-5 system were identified. Our results showed that the Fucα-1,6GlcNAc(core fucose) structure was increased, and pentaantennary N-glycans were only observed in the ECE system. The SAα2-3/6Gal structures were highly expressed and Fucα1-2Galβ1-4GlcNAc structures were only observed in the MRC-5 system. We conclude that the existing SAα2-3/6Gal sialoglycans make the offspring of the H9N2 virus prefer entially attach to each other, which decreases the virulence. Alterations in the glycosylation sites for the evolution and role of IAVs have been widely described; however, little is known about the exact glycan structures for the same influenza strain from different hosts. Our findings may provide a novel way for further discussing the molecular mechanism of the viral transmission and virulence associated with viral glycosylation in avian and human hosts as well as vital information for designing a vaccine against influenza and other human viruses.

Alteration of N-glycan expression profile and glycan pattern of glycoproteins in human hepatoma cells after HCV infection

BACKGROUND

Hepatitis C virus (HCV) infection causes chronic liver diseases, liver fibrosis and even hepatocellular carcinoma (HCC). However little is known about any information of N-glycan pattern in human liver cell after HCV infection.

METHODS

The altered profiles of N-glycans in HCV-infected Huh7.5.1 cell were analyzed by using mass spectrometry. Then, lectin microarray, lectin pull-down assay, reverse transcription-quantitative real time PCR (RT-qPCR) and western-blotting were used to identify the altered N-glycosylated proteins and glycosyltransferases.

RESULTS

Compared to uninfected cells, significantly elevated levels of fucosylated, sialylated and complex N-glycans were found in HCV infected cells. Furthermore, Lens culinaris agglutinin (LCA)-binding glycoconjugates were increased most. Then, the LCA-agarose was used to precipitate the specific glycosylated proteins and identify that fucosylated modified annexin A2 (ANXA2) and heat shock protein 90 beta family member 1 (HSP90B1) was greatly increased in HCV-infected cells. However, the total ANXA2 and HSP90B1 protein levels remained unchanged. Additionally, we screened the mRNA expressions of 47 types of different glycosyltransferases and found that α1,6-fucosyltransferase 8 (FUT8) was the most up-regulated and contributed to strengthen the LCA binding capability to fucosylated modified ANXA2 and HSP90B1 after HCV infection.

CONCLUSIONS

HCV infection caused the altered N-glycans profiles, increased expressions of FUT8, fucosylated ANXA2 and HSP90B1 as well as enhanced LCA binding to Huh7.5.1.

GENERAL SIGNIFICANCE

Our results may lay the foundation for clarifying the role of N-glycans and facilitate the development of novel diagnostic biomarkers and therapeutic targets based on the increased FUT8, fucosylated ANXA2 and HSP90B1 after HCV infection.

Role of lectin microarrays in cancer diagnosis

The majority of cell differentiation associated tumor markers reported to date are either glycoproteins or glycolipids. Despite there being a large number of glycoproteins reported as candidate markers for various cancers, only a handful are approved by the US Food and Drug Administration. Lectins, which bind to the glycan part of the glycoproteins, can be exploited to identify aberrant glycosylation patterns, which in turn would help in enhancing the specificity of cancer diagnosis. Although conventional techniques such as HPLC and MS have been instrumental in performing the glycomic analyses, these techniques lack multiplexity. Lectin microarrays have proved to be useful in studying multiple lectin-glycan interactions in a single experiment and, with the advances made in the field, hold a promise of enabling glycomic profiling of cancers in a fast and efficient manner.

N- and O-glycan cell surface protein modifications associated with cellular senescence and human aging

Background

Glycans play essential roles in biological functions such as differentiation and cancer. Recently, glycans have been considered as biomarkers for physiological aging. However, details regarding the specific glycans involved are limited. Here, we investigated cellular senescence- and human aging-dependent glycan changes in human diploid fibroblasts derived from differently aged skin donors using a lectin microarray.

Results

We found that α2-6sialylated glycans in particular differed between elderly- and fetus-derived cells at early passage. However, both cell types exhibited sequentially decreasing α2-3sialylated O-glycan structures during the cellular senescence process and showed similar overall glycan profiles.

Conclusions

We observed a senescence-associated decrease in sialylation and increase in galactose exposure. Therefore, glycan profiling using lectin microarrays might be useful for the characterization of biomarkers of aging.

Electronic supplementary material

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Alteration of liver glycopatterns during cirrhosis and tumor progression induced by HBV

The incidence of hepatocellular carcinoma (HCC) is closely correlated with hepatitis B virus (HBV)-induced liver cirrhosis. Structural changes in the glycans of serum and tissue proteins are reliable indicators of liver damage. However, little is known about the alteration of liver glycopatterns during cirrhosis and tumor progression induced by HBV infection. This study compared the differential expression of liver glycopatterns in 7 sets of normal pericarcinomatous tissues (PCTs), cirrhotic, and tumor tissues from patients with liver cirrhosis and HCC induced by HBV using lectin microarrays. Fluorescence-based lectin histochemistry and lectin blotting were further utilized to validate and assess the expression and distribution of certain glycans in 9 sets of corresponding liver tissue sections. Eight lectins (e.g., Jacalin and AAL) revealed significant difference in cirrhotic tissues versus PCTs. Eleven lectins (e.g., EEL and SJA) showed significant alteration during cirrhotic and tumor progression. The expression of Galα1-3(Fucα1-2)Gal (EEL) and fucosyltransferase 1 was mainly increasing in the cytoplasm of hepatocytes during PCTs-cirrhotic-tumor tissues progression, while the expression of T antigen (ACA and PNA) was decreased sharply in cytoplasm of tumor hepatocytes. Understanding the precision alteration of liver glycopatterns related to the development of hepatitis, cirrhosis, and tumor induced by HBV infection may help elucidate the molecular mechanisms underlying the progression of chronic liver diseases and develop new antineoplastic therapeutic strategies.

Fucosylation is associated with the malignant transformation of intraductal papillary mucinous neoplasms: a lectin microarray-based study

PURPOSE

Intraductal papillary mucinous neoplasm (IPMN) is an intraductal mucin-producing pancreatic neoplasm with the potential for malignant transformation. Changes in glycans expressed on the cell surface and glycotransferases play important roles in malignant transformation. We conducted this study to analyze glycan alterations in IPMNs by using a lectin microarray and to identify the factors associated with altered glycans and their relationships with malignant transformation.

METHODS

Using a lectin microarray, we evaluated glycan expression in 22 samples of IPMN with carcinoma, obtained from curative resections performed in our department. We also used immunohistochemistry to investigate fucosyltransferase 8 (Fut 8) protein expression, which is associated with glycan alterations in IPMNs.

RESULTS

The lectin microarray demonstrated that only two lectins, Aleuria aurantia lectin (AAL) and Aspergillus oryzae L-fucose-specific lectin (AOL), which bind to fucose, exhibited significant sequential increases from normal pancreatic duct to adenoma and carcinoma. Similarly, Fut 8 protein expression, which is associated with AAL and AOL, sequentially and significantly increased from the normal pancreatic duct to adenoma and carcinoma.

CONCLUSIONS

Lectin microarray analysis suggested that fucosylation is associated with the malignant transformation of IPMNs.

Decreased expression of Bauhinia purpurea lectin is a predictor of gastric cancer recurrence

PURPOSE

Molecular markers as indicators for gastric cancer recurrence are urgently required. The aim of this study was to identify lectins that can be used to predict gastric cancer recurrence after gastrectomy.

METHODS

We created lectin expression profiles by microarray analysis for 60 patients, who underwent surgery for gastric cancer at the Oita University Hospital between January, 2005 and December, 2007. Lectin expression and clinicopathological factors in patients who suffered gastric cancer recurrence and those who did not were compared by univariate and multivariate analyses.

RESULTS

Thirteen lectins showed a significant increase in binding to cancer tissues, whereas 11 lectins showed a significant decrease in binding to cancer tissues, when compared with binding to normal epithelia. Multivariate analysis revealed that lymph node metastasis and low Bauhinia purpurea lectin (BPL)-binding signals were independent predictive factors for recurrence. All patients with low BPL expression had significantly worse relapse-free survival than those with high BPL expression.

CONCLUSIONS

Our results using a novel lectin microarray system provide the first solid evidence that BPL expression is a predictor of gastric cancer recurrence.

Glycoprofiling as a novel tool in serological assays of systemic sclerosis: a comparative study with three bioanalytical methods

Systemic sclerosis (SSc) is an autoimmune disease seriously affecting patient's quality of life. The heterogeneity of the disease also means that identification and subsequent validation of biomarkers of the disease is quite challenging. A fully validated single biomarker for diagnosis, prognosis, disease activity and assessment of response to therapy is not yet available. The main aim of this study was to apply an alternative assay protocol to the immunoassay-based analysis of this disease by employment of sialic acid recognizing lectin Sambucus nigra agglutinin (SNA) to glycoprofile serum samples. To our best knowledge this is the first study describing direct lectin-based glycoprofiling of serum SSc samples. Three different analytical methods for glycoprofiling of serum samples relying on application of lectins are compared here from a bioanalytical point of view including traditional ELISA-like lectin-based method (ELLA), novel fluorescent lectin microarrays and ultrasensitive impedimetric lectin biosensors. Results obtained by all three bioanalytical methods consistently showed differences in the level of sialic acid present on glycoproteins, when serum from healthy people was compared to the one from patients having SSc. Thus, analysis of sialic acid content in human serum could be of a diagnostic value for future detection of SSc, but further work is needed to enhance selectivity of assays for example by glycoprofiling of a fraction of human serum enriched in antibodies for individual diagnostics.

Profiling temporal changes in bovine milk lactoferrin glycosylation using lectin microarrays

The bovine milk glycoprotein bovine lactoferrin (bLF) has a variety of biological activities related to its constituent glycans. However, little is known about bLF's oligosaccharide structural changes over the course of lactation. BLF was isolated at 13 time points during the first three months of lactation from three individual cows and glycosylation changes were profiled by lectin microarrays. Substantial profile differences between early and late lactation were observed and accompanying monosaccharide analysis revealed that the occurrence of the non-human sialic acid, N-glycolylneuraminic acid, was greater during early stage milk production. Overall, the data suggested that more diverse complex-type oligosaccharide structures were present on bLF during early lactation with an abundance of oligomannose type glycans in later lactation. The differences in the glycoprofiles of bLF from colostrum to mature milk suggest that these may have different functionality in vivo.

Use of lectin microarray to differentiate gastric cancer from gastric ulcer

AIM: To investigate the feasibility of lectin microarray for differentiating gastric cancer from gastric ulcer.

METHODS: Twenty cases of human gastric cancer tissue and 20 cases of human gastric ulcer tissue were collected and processed. Protein was extracted from the frozen tissues and stored. The lectins were dissolved in buffer, and the sugar-binding specificities of lectins and the layout of the lectin microarray were summarized. The median of the effective data points for each lectin was globally normalized to the sum of medians of all effective data points for each lectin in one block. Formalin-fixed paraffin-embedded gastric cancer tissues and their corresponding gastric ulcer tissues were subjected to Ag retrieval. Biotinylated lectin was used as the primary antibody and HRP-streptavidin as the secondary antibody. The glycopatterns of glycoprotein in gastric cancer and gastric ulcer specimens were determined by lectin microarray, and then validated by lectin histochemistry. Data are presented as mean ± SD for the indicated number of independent experiments.

RESULTS: The glycosylation level of gastric cancer was significantly higher than that in ulcer. In gastric cancer, most of the lectin binders showed positive signals and the intensity of the signals was stronger, whereas the opposite was the case for ulcers. Significant differences in the pathological score of the two lectins were apparent between ulcer and gastric cancer tissues using the same lectin. For MPL and VVA, all types of gastric cancer detected showed stronger staining and a higher positive rate in comparison with ulcer, especially in the case of signet ring cell carcinoma and intra-mucosal carcinoma. GalNAc bound to MPL showed a significant increase. A statistically significant association between MPL and gastric cancer was observed. As with MPL, there were significant differences in VVA staining between gastric cancer and ulcer.

CONCLUSION: Lectin microarray can differentiate the different glycopatterns in gastric cancer and gastric ulcer, and the lectins MPL and VVA can be used as biomarkers.

Campylobacter jejuni strain discrimination and temperature-dependent glycome expression profiling by lectin microarray

Gram-negative Campylobacter jejuni is the leading cause of bacterial gastroenteritis in humans worldwide and the most frequently identified infectious trigger in patients developing Guillain-Barré syndrome (GBS). While C. jejuni is pathogenic in humans, it is a commensal in avian hosts. Bacterial cell surface carbohydrates are important virulence factors and play roles in adherence, colonisation and infection. The mechanisms leading to infection or persistent colonisation of C. jejuni are not well understood but host temperature may provide an important stimulus for specific adaptation. Thus, examination of the modulation of the total surface glycome of C. jejuni in response to temperature may help shed light on commensal and pathogenic mechanisms for this species. C. jejuni strains 81116 and 81-176 were cultured at 37 and 42°C to simulate human and avian host conditions, respectively, and whole cells were profiled on lectin microarrays constructed to include a wide range of binding specificities. C. jejuni 81116 profiles indicated that the previously characterised lipopolysaccharide (LPS)-like molecule and N-linked glycans were the predominantly recognised cell surface structures while capsular polysaccharide (CPS), lipooligosaccharides (LOS) and N-linked glycosylation were best recognised for strain 81-176 at 37°C. The profiles of both strains varied and were distinguishable at both temperatures. At the higher temperature, reduced dominance of the LPS-like structure was associated with strain 81116 and a change in the relative distribution of CPS and LOS structures was indicated for strain 81-176. This change in LOS molecular mass species distribution between temperatures was confirmed by SDS-PAGE analysis. Additionally, opposite behaviour of certain lectins was noted between the plate agglutination assay and the microarray platform. Insights into the important glycosylation involved in C. jejuni host cell tropism at different growth temperatures were gained using the lectin microarray platform.