Abstract
There are huge numbers of clinical specimens being stored that contain potential diagnostic marker molecules buried by the coexistence of high-abundance proteins. To utilize such valuable stocks efficiently, we must develop appropriate techniques to verify the molecules. Glycoproteins with disease-related glycosylation changes are a group of useful molecules that have long been recognized, but their application is not fully implemented. The technology for comparative analysis of such glycoproteins in biological specimens has tended to be left behind, which often leads to loss of useful information without it being recognized. In this chapter, we feature antibody-assisted lectin profiling employing antibody-overlay lectin microarray, the most suitable technology for comparative glycoanalysis of a trace amount of glycoproteins contained in biological specimens. We believe that sharing this detailed protocol will accelerate the glycoproteomics-based discovery of glyco-biomarkers that has attracted recent attention; simultaneously, it will increase the value of clinical specimens as a gold mine of information that has yet to be exploited.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Dennis JW, Laferté S, Waghorne C et al (1987) Beta1-6 branching of Asn-linked oligosaccharides is directly associated with metastasis. Science 236:582–585
Granovsky M, Fata J, Pawling J et al (2000) Suppression of tumor growth and metastasis in Mgat5-dificient mice. Nat Med 6:306–312
Taniguchi N, Hancock W, Lubman DM et al (2009) The second golden age of glycomics: from functional glycomics to clinical applications. J Proteome Res 8:425–426
Pan S, Chen R, Aebersold R et al (2011) Mass spectrometry based glycoproteomics – from a proteomics perspective. Mol Cell Proteomics 10:1–14
Sato Y, Nakata K, Kato Y et al (1993) Early recognition of hepatocellular carcinoma based on altered profiles of alpha-fetoprotein. N Eng J Med 328:1802–1806
Hirabayashi J, Yamada M, Kuno A et al (2013) Lectin microarrays: concept, principle and applications. Chem Soc Rev 42:4443–4458
Angeloni S, Ridet JL, Kusy N et al (2005) Glycoprofiling with micro-arrays of glycoconjugates and lectins. Glycobiology 15: 31–41
Pilobello KT, Krishnamoorthy L, Slawek D et al (2005) Development of a lectin microarray for the rapid analysis of protein glycopatterns. ChemBiochem 6:985–989
Kuno A, Uchiyama N, Koseki-Kuno S et al (2005) Evanescent-field fluorescence-assisted lectin microarray: a new strategy for glycan profiling. Nat Methods 2:851–856
Ebe Y, Kuno A, Uchiyama N et al (2006) Application of lectin microarray to crude samples: differential glycan profiling of lec mutants. J Biochem 139:323–327
Pilobello KT, Slawek DE, Mahal LK (2007) A ratiometric lectin microarray approach to analysis of the dynamic mammalian glycome. Proc Natl Acad Sci U S A 104:11534–11539
Tateno H, Uchiyama N, Kuno A et al (2007) A novel strategy for mammalian cell surface glycome profiling using lectin microarray. Glycobiology 17:1138–1146
Tao SC, Li Y, Zhou J et al (2008) Lectin microarrays identify cell-specific and functionally significant cell surface glycan markers. Glycobiology 18:761–769
Hsu KL, Pilobello KT, Mahal LK (2006) Analyzing the dynamic bacterial glycome with a lectin microarray approach. Nat Chem Biol 2:153–157
Yasuda E, Tateno H, Hirabayashi J et al (2011) Lectin microarray reveals binding profiles of Lactobacillus casei strains in a comprehensive analysis of bacterial cell wall polysaccharides. Appl Environ Microbiol 77:4539–4546
Krishnamoorthy L, Bess JW Jr, Preston AB et al (2009) HIV-1 and microvesicles from T cells share a common glycome, arguing for a common origin. Nat Chem Biol 5:244–250
Kuno A, Kato Y, Matsuda A et al (2009) Focused differential glycan analysis with the platform antibody-assisted lectin profiling for glycan-related biomarker verification. Mol Cell Proteomics 8:99–108
Narimatsu H, Sawaki H, Kuno A et al (2010) A strategy for discovery of cancer glyco-biomarkers in serum using newly developed technologies for glycoproteomics. FEBS J 277:95–105
Kuno A, Ikehara Y, Tanaka Y et al (2011) Multilectin assay for detecting fibrosis-specific glyco-alteration by means of lectin microarray. Clin Chem 57:48–56
Kuno A, Ikehara Y, Tanaka Y et al (2013) A serum “sweet-doughnut” protein facilitates fibrosis evaluation and therapy assessment in patients with viral hepatitis. Sci Rep 3:1065
Li Y, Tao SC, Bova GS et al (2011) Detection and verification of glycosylation patterns of glycoproteins from clinical specimens using lectin microarrays and lectin-based immunosorbent assays. Anal Chem 83:8509–8516
Kuwamoto K, Takeda Y, Shirai A et al (2010) Identification of various types of alpha2-HS glycoprotein in sera of patients with pancreatic cancer: Possible implication in resistance to protease treatment. Mol Med Rep 3:651–656
Kaji H, Ocho M, Togayachi A et al (2013) Glycoproteomic discovery of serological biomarker candidates for HCV/HBV infection-associated liver fibrosis and hepatocellular carcinoma. J Proteome Res 12:2630–2640
Futakawa S, Nara K, Miyajima M et al (2012) A unique N-glycan on human transferrin in CSF: a possible biomarker for iNPH. Neurobiol Aging 33:1807–1815
Matsuda A, Kuno A, Matsuzaki H et al (2013) Glycoproteomics-based cancer marker discovery adopting dual enrichment with Wisteria floribunda agglutinin for high specific glyco-diagnosis of cholangiocarcinoma. J Proteomics 85:1–11
Matsuda A, Kuno A, Ishida H et al (2008) Development of an all-in-one technology for glycan profiling targeting formalin-embedded tissue sections. Biochem Biophys Res Commun 370:259–263
Kuno A, Matsuda A, Ikehara Y et al (2010) Differential glycan profiling by lectin microarray targeting tissue specimens. Methods Enzymol 478:165–179
Matsuda A, Kuno A, Kawamoto T et al (2010) Wisteria floribunda agglutinin-positive mucin 1 is a sensitive biliary marker for human cholangiocarcinoma. Hepatology 52:174–182
Takeuchi H, Kato K, Denda-Nagai K et al (2002) The epitope recognized by the unique anti-MUC1 monoclonal antibody MY.1E12 involves sialyl alpha 2-3galactosyl beta 1-3N-acetylgalactosaminide linked to a distinct threonine residue in the MUC1 tandem repeat. J Immunol Methods 270:199–209
Acknowledgments
This work was supported in part by a grant from New Energy and Industrial Technology Development Organization of Japan. The authors would like to acknowledge Prof. J. Shoda (University of Tsukuba) for kindly providing surgical specimens. We thank A. Togayachi and T. Sato (AIST) for cell cultivation. We also thank H. Tateno, J. Murakami, and K. Suzuki (AIST) for in-house production of the lectin microarrays.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science+Business Media New York
About this protocol
Cite this protocol
Kuno, A., Matsuda, A., Unno, S., Tan, B., Hirabayashi, J., Narimatsu, H. (2014). Differential Glycan Analysis of an Endogenous Glycoprotein: Toward Clinical Implementation—From Sample Pretreatment to Data Standardization. In: Hirabayashi, J. (eds) Lectins. Methods in Molecular Biology, vol 1200. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-1292-6_23
Download citation
DOI: https://doi.org/10.1007/978-1-4939-1292-6_23
Published:
Publisher Name: Humana Press, New York, NY
Print ISBN: 978-1-4939-1291-9
Online ISBN: 978-1-4939-1292-6
eBook Packages: Springer Protocols