Lectin microarrays identify cell-specific and functionally significant cell surface glycan markers

Glycosylation is among the most complex posttranslational modifications with an extremely high level of diversity that has made it refractory to high-throughput analyses. Despite its resistance to high-throughput techniques, glycosylation is important in many critical cellular processes that necessitate a productive approach to their analysis. To facilitate studies in glycosylation, we developed a high-throughput lectin microarray for defining mammalian cell surface glycan signatures. Using the lectin microarray we established a binary analysis of cell binding and hierarchical organization of 24 mammalian cell lines. The array was also used to document changes in cell surface glycosylation during cell development and differentiation of primary murine immune system cells. To establish the biological and clinical importance of glycan signatures, the lectin microarray was applied in two systems. First, we analyzed the cell surface glycan signatures and were able to predict mannose-dependent tropism using a model pathogen. Second, we used the glycan signatures to identify novel lectin biomarkers for cancer stem-like cells in a murine model. Thus, lectin microarrays are an effective tool for analyzing diverse cell processes including cell development and differentiation, cell-cell communication, pathogen-host recognition, and cell surface biomarker identification.     

应用凝集素芯片检测肝癌细胞膜表面糖链变化

利用凝集素糖链特异亲和原理构建对细胞膜表面糖链进行即时检测的凝集素芯片体系,检测肝癌发生过程中细胞膜糖链的变化.从H22细胞系、正常小鼠和肝癌模型鼠肝组织中提取细胞进行荧光标记,激光扫描仪检测凝集素位点捕获的细胞,根据凝集素特异亲和性确定细胞膜表面糖表达谱,显微镜下观察捕获细胞的形态.对凝集素芯片捕获细胞的最佳条件进行探讨,用甘露糖抑制试验、流式细胞仪和不同血型红细胞验证了凝集素捕获细胞的特异性.结果显示:正常和肝癌小鼠肝细胞膜表面糖链存在较大差异,正常组只有PSA、DSL、STL、NPL凝集素位点捕获到细胞,实验组只有LTL和DBA位点没有捕获到细胞,提示小鼠肝癌组织细胞膜表面糖链显著增加,细胞膜上唾液酸、乙酰葡萄糖、乙酰半乳糖、甘露糖和半乳糖糖链表达增加,这些糖链及其相关糖蛋白可能在肝癌的发生和发展中起一定作用.该凝集素芯片有较好的稳定性和特异性,可以对细胞膜表面糖链进行动态、即时、通量的检测,为研究细胞膜表面聚糖在细胞发育和癌变等过程中的变化提供了一个技术平台.     

Tyramide signal amplification for antibody-overlay lectin microarray: a strategy to improve the sensitivity of targeted glycan profiling

Antibody-overlay lectin microarray (ALM) has been used for targeted glycan profiling to identify disease-related protein glycoforms. In this context, high sensitivity is desired because it allows for the identification of disease-related glycoforms that are often present at low concentrations. We describe a new tyramide signal amplification (TSA) for the antibody-overlay lectin microarray procedure for sensitive profiling of glycosylation patterns. We demonstrate that TSA increased the sensitivity of the microarray over 100 times for glycan profiling using the model protein prostate specific antigen (PSA). The glycan profile of PSA enriched from LNCAP cells, obtained at a subnanogram level with the aid of TSA, was consistent with the previous reports. We also established the glycan profile of prostate specific membrane antigen (PSMA) using the TSA and ALM. Thus, the TSA for antibody-overlay lectin microarray is a sensitive, rapid, comprehensive, and high-throughput method for targeted glycan profiling and can potentially be used for the identification of disease-related protein glycoforms.     

Cell surface lectin array: parameters affecting cell glycan signature

Among the “omics”, glycomics is one of the most complex fields and needs complementary strategies of analysis to decipher the “glycan dictionary”. As an alternative method, which has developed since the beginning of the 21st century, lectin array technology could generate relevant information related to glycan motifs, accessibility and a number of other valuable insights from molecules (purified and non-purified) or cells. Based on a cell line model, this study deals with the key parameters that influence the whole cell surface glycan interaction with lectin arrays and the consequences on the interpretation and reliability of the results. The comparison between the adherent and suspension forms of Chinese Hamster Ovary (CHO) cells, showed respective glycan signatures, which could be inhibited specifically by neoglycoproteins. The modifications of the respective glycan signatures were also revealed according to the detachment modes and cell growth conditions. Finally the power of lectin array technology was highlighted by the possibility of selecting and characterizing a specific clone from the mother cell line, based on the slight difference determination in the respective glycan signatures.     

Differential carbohydrate binding and cell surface glycosylation of human cancer cell lines

Currently there is only a modest level knowledge of the glycosylation status of immortalised cell lines that are commonly used in cancer biology as well as their binding affinities to different glycan structures. Through use of glycan and lectin microarray technology, this study has endeavoured to define the different bindings of cell surface carbohydrate structures to glycan-binding lectins. The screening of breast cancer MDA-MB435 cells, cervical cancer HeLa cells and colon cancer Caco-2, HCT116 and HCT116-FM6 cells was conducted to determine their differential bindings to a variety of glycan and lectin structures printed on the array slides. An inverse relationship between the number of glycan structures recognised and the variety of cell surface glycosylation was observed. Of the cell lines tested, it was found that four bound to sialylated structures in initial screening. Secondary screening in the presence of a neuraminidase inhibitor (4-deoxy-4-guanidino-Neu5Ac2en) significantly reduced sialic acid binding. The array technology has proven to be useful in determining the glycosylation signatures of various cell-lines as well as their glycan binding preferences. The findings of this study provide the groundwork for further investigation into the numerous glycan-lectin interactions that are exhibited by immortalised cell lines.     

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.     

A novel strategy for mammalian cell surface glycome profiling using lectin microarray

The glycome represents the total set of glycans expressed in a cell. The glycome has been assumed to vary between cell types, stages of development and differentiation, and during malignant transformation. Analysis of the glycome provides a basis for understanding the functions of glycans in these cellular processes. Recently, a technique called lectin microarray was developed for rapid profiling of glycosylation, although its use was mainly restricted to glycoproteins of cell lysates, and thus unable to profile the intact cell surface glycans. Here we report a simple and sensitive procedure based on this technology for direct analysis of the live mammalian cell-surface glycome. Fluorescent-labeled live cells were applied in situ to the established lectin microarray consisting of 43 immobilized lectins with distinctive binding specificities. After washing, bound cells were directly detected by an evanescent-field fluorescence scanner in a liquid phase without fixing and permeabilization. The results obtained by differential profiling of CHO and its glycosylation-defective mutant cells, and splenocytes of wild-type and beta1-3-N-acetylglucosaminyltransferase II knockout mice performed as model experiments agreed well with their glycosylation phenotypes. We also compared cell surface glycans of K562 cells before and after differentiation and found a significant increase in the expression of O-glycans on differentiated cells. These results demonstrate that the technique provides a novel strategy for profiling global changes of the mammalian cell surface glycome.     

The use of lectin microarray for assessing glycosylation of therapeutic proteins

Glycans or carbohydrates attached to therapeutic glycoproteins can directly affect product quality, safety and efficacy, and therefore must be adequately analyzed and controlled throughout product life cycles. However, the complexity of protein glycosylation poses a daunting analytical challenge. In this study, we evaluated the utility of a lectin microarray for assessing protein glycans. Using commercial lectin chips, which contain 45 lectins toward distinct glycan structures, we were able to determine the lectin binding patterns of a panel of 15 therapeutic proteins, including 8 monoclonal antibodies. Lectin binding signals were analyzed to generate glycan profiles that were generally consistent with the known glycan patterns for these glycoproteins. In particular, the lectin-based microarray was found to be highly sensitive to variations in the terminal carbohydrate structures such as galactose versus sialic acid epitopes. These data suggest that lectin microarray could be used for screening glycan patterns of therapeutic glycoproteins.     

凝集素芯片对体液细胞进行检测方法的建立和初步应用

建立对体液细胞进行自动捕获的凝集素芯片体系,利用凝集素对糖链的特异亲和作用捕获细胞,提取白血病患者外周血、肺癌胸水和肝腹水中细胞进行荧光标记,凝集素芯片捕获,激光扫描仪检测捕获细胞的荧光信号,常规HE染色后光学显微镜下观察细胞的形态并进行免疫化学反应,流式细胞仪验证凝集素芯片的特异性．结果表明：凝集素芯片可以对体液中的癌细胞进行自动捕获,对癌细胞膜表面糖链进行识别．芯片检测的细胞浓度最少可达每mL10^4个左右．芯片有较好的重复性和特异性．这种凝集素芯片可用于临床体液中癌细胞的检测分析,对癌细胞膜表面凝集素亲和位点进行即时、高通量的检测,为了解细胞膜表面聚糖在癌变过程中的变化提供了一个技术平台．     

应用凝集素芯片分析癌细胞膜表面糖链表达

细胞膜表面糖复合物的糖链结构与肿瘤细胞增殖、侵染、转移等发展过程密切相关.凝集素芯片技术的出现实现了对癌症的糖组进行快速、高通量的检测.通过模式细胞系PANC-1证明了构建的凝集素芯片体系的准确性、重复性、特异性,应用这一芯片体系初步检测了几种癌细胞系(HT-29、SGC-7901、BEL-7402、H460)的膜表面糖链表达.这几种癌细胞系表面都有唾液酸、乙酰葡萄糖/葡萄糖、乙酰半乳糖/半乳糖、甘露糖等糖链.根据实验结果,推测它们的细胞膜表面α1-6岩藻糖链表达水平可能较高,而α1-3岩藻糖链表达水平较低;这些聚糖可能是癌症潜在的标志物.凝集素芯片有助于推动癌细胞膜表面糖链的快速分析和筛选出癌症相关的糖链标志物.     

Microarray platform affords improved product analysis in mammalian cell growth studies

High throughput (HT) platforms serve as a cost‐efficient and rapid screening method for evaluating the effect of cell‐culture conditions and screening of chemicals. We report the development of a HT cell‐based microarray platform to assess the effect of culture conditions on Chinese hamster ovary (CHO) cells. Specifically, growth, transgene expression and metabolism of a GS/methionine sulphoximine (MSX) CHO cell line, which produces a therapeutic monoclonal antibody, was examined using a microarray system in conjunction with a conventional shake flask platform in a non‐proprietary medium. The microarray system consists of 60‐nL spots of cells encapsulated in alginate and separated in groups via an 8‐well chamber system attached to the chip. Results show the non‐proprietary medium developed allows cell growth, production, and normal glycosylation of recombinant antibody and metabolism of the recombinant CHO cells in both the microarray and shake flask platforms. In addition, 10.3 mM glutamate addition to the defined base medium results in lactate metabolism shift in the recombinant GS/MSX CHO cells in the shake flask platform. Ultimately, the results demonstrate that the HT microarray platform has the potential to be utilized for evaluating the impact of media additives on cellular processes, such as cell growth, metabolism, and productivity.     

Bivalent carbohydrate binding is required for biological activity of Clitocybe nebularis lectin (CNL), the N,N'-diacetyllactosediamine (GalNAcβ1-4GlcNAc, LacdiNAc)-specific lectin from basidiomycete C. nebularis

Lectins are carbohydrate-binding proteins that exert their biological activity by binding to specific cell glycoreceptors. We have expressed CNL, a ricin B-like lectin from the basidiomycete Clitocybe nebularis in Escherichia coli. The recombinant lectin, rCNL, agglutinates human blood group A erythrocytes and is specific for the unique glycan N,N'-diacetyllactosediamine (GalNAcβ1-4GlcNAc, LacdiNAc) as demonstrated by glycan microarray analysis. We here describe the crystal structures of rCNL in complex with lactose and LacdiNAc, defining its interactions with the sugars. CNL is a homodimeric lectin, each of whose monomers consist of a single ricin B lectin domain with its β-trefoil fold and one carbohydrate-binding site. To study the mode of CNL action, a nonsugar-binding mutant and nondimerizing monovalent CNL mutants that retain carbohydrate-binding activity were prepared. rCNL and the mutants were examined for their biological activities against Jurkat human leukemic T cells and the hypersensitive nematode Caenorhabditis elegans mutant strain pmk-1. rCNL was toxic against both, although the mutants were inactive. Thus, the bivalent carbohydrate-binding property of homodimeric CNL is essential for its activity, providing one of the rare pieces of evidence that certain activities of lectins are associated with their multivalency.     

Development of an all-in-one technology for glycan profiling targeting formalin-embedded tissue sections

An ultra-sensitive method for glycan analysis targeting small tissue sections (1.5 mm in diameter) is described as an application of a recently-established lectin microarray technology. The developed system achieved a high level of detection of a tissue section consisting of approximately 500 cells for differential profiling, where both N- and O-glycans attached to a pool of glycoproteins are subjected to multiplex analysis with 43 lectins. By using an optimized protocol for differential glycan analysis, sections of adenocarcinoma (n = 28) and normal epithelia (n = 12) of the colon were analyzed in an all-in-one manner. As a result, Wisteria floribunda agglutinin (WFA) was found to clearly differentiate cancerous from normal epithelia with P < 0.0001. The obtained results correlated well with the subsequent histochemical study using biotinylated WFA. Thus, the developed technology proved to be valid for expanding the lectin microarray applications to tissue-based glycomics, and hence, should accelerate a discovery phase of glycan-related biomarkers.     

Comparative analysis of carbohydrate binding properties of Sambucus nigra lectins and ribosome-inactivating proteins

In the past three decades a lot of research has been done on the extended family of carbohydrate-binding proteins from Sambucus nigra, including several so-called type 2 RIPs as well as hololectins. Although all these proteins have been studied for their carbohydrate-binding properties using hapten inhibition assays, detailed carbohydrate specificity studies have only been performed for a few Sambucus proteins. In particular SNA-I, has been studied extensively. Because of its unique binding characteristics this lectin was developed as an important tool in glycoconjugate research to detect sialic acid containing glycoconjugates. At present much less information is available with respect to the detailed carbohydrate binding specificity of other S. nigra lectins and RIPs, and as a consequence their applications remain limited. In this paper we report a comparative analysis of several lectins from S. nigra using the glycan microarray technology. Ultimately a better understanding of the ligands for each lectin can contribute to new/more applications for these lectins in glycoconjugate research. Furthermore, the data from glycan microarray analyses combined with the previously obtained sequence information can help to explain how evolution within a single lectin family eventually yielded a set of carbohydrate-binding proteins with a very broad specificity range.     

Focused differential glycan analysis with the platform antibody-assisted lectin profiling for glycan-related biomarker verification

Protein glycosylation is a critical subject attracting increasing attention in the field of proteomics as it is expected to play a key role in the investigation of histological and diagnostic biomarkers. In this context, an enormous number of glycoproteins have now been nominated as disease-related biomarkers. However, there is no appropriate strategy in the current proteome platform to qualify such marker candidate molecules, which relates their specific expression to particular diseases. Here, we present a new practical system for focused differential glycan analysis in terms of antibody-assisted lectin profiling (ALP). In the developed procedure, (i) a target protein is enriched from clinic samples (e.g. tissue extracts, cell supernatants, or sera) by immunoprecipitation with a specific antibody recognizing a core protein moiety; (ii) the target glycoprotein is quantified by immunoblotting using the same antibody used in (i); and (iii) glycosylation difference is analyzed by means of antibody-overlay lectin microarray, an application technique of an emerging glycan profiling microarray. As model glycoproteins having either N-linked or O-linked glycans, prostate-specific antigen or podoplanin, respectively, were subjected to systematic ALP analysis. As a result, specific signals corresponding to the target glycoprotein glycans were obtained at a sub-picomole level with the aid of specific antibodies, whereby disease-specific or tissue-specific glycosylation changes could be observed in a rapid, reproducible, and high-throughput manner. Thus, the established system should provide a powerful pipeline in support of on-going efforts in glyco-biomarker discovery.     

Differential profiling studies of N-linked glycoproteins in glioblastoma cancer stem cells upon treatment with γ-secretase inhibitor

We have recently demonstrated that Notch pathway blockade by γ-secretase inhibitor (GSI) depletes cancer stem cells (CSCs) in Glioblastoma Multiforme (GBM) through reduced proliferation and induced apoptosis. However, the detailed mechanism by which the manipulation of Notch signal induces alterations on post-translational modifications such as glycosylation has not been investigated. Herein, we present a differential profiling work to detect the change of glycosylation pattern upon drug treatment in GBM CSCs. Rapid screening of differential cell surface glycan structures has been performed by lectin microarray on live cells followed by the detection of N-linked glycoproteins from cell lysates using multi-lectin chromatography and label-free quantitative mass spectrometry analysis. A total of 51 and 52 glycoproteins were identified in the CSC- and GSI-treated groups, respectively, filtered by a combination of decoy database searching and Trans-Proteomic Pipeline (TPP) processing. Although no significant changes were detected from the lectin microarray experiment, 7 differentially expressed glycoproteins with high confidence were captured after the multi-lectin column including key enzymes involved in glycan processing. Functional annotations of the altered glycoproteins suggest a phenotype transformation of CSCs toward a less tumorigenic form upon GSI treatment.     

Glycoprotein profiling of stem cells using lectin microarray based on surface plasmon resonance imaging

Lectin microarrays have emerged as a novel platform for glycan analysis during recent years. Here, we have combined surface plasmon resonance imaging (SPRi) with the lectin microarray for rapid and label-free profiling of stem cells. In this direction, 40 lectins from seven different glyco-binding motifs and three different cell lines—mouse embryonic stem cells (mESCs), mouse-induced pluripotent stem cells (miPSCs), and mouse embryonic fibroblast stem cells (MEFs)—were used. Pluripotent mouse stem cells were clearly distinguished from non-pluripotent stem cells. Eight lectins—DBA, MAL, PHA_E, PHA_L, EEL, AAL, PNA, and SNA—generated maximal value to define pluripotency of mouse stem cells in our experiments. The discriminant function based on lectin reactivities was highly accurate for the determination of stem cell pluripotency. These results suggested that glycomic analysis of stem cells leads to a novel comprehensive approach for quality control in cell-based therapy and regenerative medicine.     

Multiplexed analysis of glycan variation on native proteins captured by antibody microarrays

Carbohydrate post-translational modifications on proteins are important determinants of protein function in both normal and disease biology. We have developed a method to allow the efficient, multiplexed study of glycans on individual proteins from complex mixtures, using antibody microarray capture of multiple proteins followed by detection with lectins or glycan-binding antibodies. Chemical derivatization of the glycans on the spotted antibodies prevented lectin binding to those glycans. Multiple lectins could be used as detection probes, each targeting different glycan groups, to build up lectin binding profiles of captured proteins. By profiling both protein and glycan variation in multiple samples using parallel sandwich and glycan-detection assays, we found cancer-associated glycan alteration on the proteins MUC1 and CEA in the serum of pancreatic cancer patients. Antibody arrays for glycan detection are highly effective for profiling variation in specific glycans on multiple proteins and should be useful in diverse areas of glycobiology research.