Abstract
Elucidating pathways related to posttranslational modifications (PTMs) such as glycosylation is of growing importance in post-genome science and technology. Graphical networks describing the relationships among glycan-related molecules, including genes, proteins, lipids, and various biological events, are considered extremely valuable and convenient tools for the systematic investigation of PTMs. Glyco-Net (http://bibi.sci.hokudai.ac.jp/functions/) can dynamically make network figures among various biological molecules and biological events. A certain molecule or event is expressed with a node, and the relationship between the molecule and the event is indicated by arrows in the network figures. In this chapter, we mention the features and current status of the Glyco-Net and a simple example of the search with the Glyco-Net.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Turnbull J, Field RA (2007) Emerging glycomics technologies. Nat Chem Biol 3:74–77
Nishimura S-I, Niikura K, Kurogochi M, Matsushita T, Fumoto M, Hinou H, Kamitani R, Nakagawa H, Deguchi K, Miura N, Monde K, Kondo H (2005) High-throughput protein glycomics: combined use of chemoselective glycoblotting and MALDI-TOF/TOF mass spectrometry. Angew Chem Int Ed 44:91–96
Kita Y, Miura Y, Furukawa J-I, Nakano M, Shinohara Y, Ohno M, Takimoto A, Nishimura S-I (2007) Quantitative glycomics of human whole serum glycoproteins based on the standardized protocol for liberating N-glycans. Mol Cell Proteomics 6:1437–1445
Miura Y, Hato M, Shinohara Y, Kuramoto H, Furukawa J-I, Kurogochi M, Shimaoka H, Tada M, Nakanishi K, Ozaki M, Todo S, Nishimura S-I (2008) BlotGlycoABCTM: an integrated glycoblotting technique for rapid and large-scale clinical glycomics. Mol Cell Proteomics 7:370–377
Anumula KR (2006) Advances in fluorescence derivatization methods for high-performance liquid chromatographic analysis of glycoprotein carbohydrates. Anal Biochem 350:1–23
Campbell MP, Royle L, Fadcliffe CM, Dwek RA, Rudd PM (2008) GlycoBase and autoGU: tools for HPLC-based glycan analysis. Bioinformatics 24:1214–1216
Artemenko NV, Campbell MP, Rudd PM (2010) GlycoExtractor: a web based interface for high throughput processing of HPLC-glycan data. J Proteome Res 9:2037–2041
Kato K, Sasakawa H, Kamiya Y, Utsumi M, Nakano M, Takanashi N, Yamaguchi Y (2008) 920 MHz ultra-high field NMR approaches to structural glycobiology. Biochim Biophys Acta 1780:619–625
Kurogochi M, Amano M, Fumoto M, Takimoto A, Kondo H, Nishimura S-I (2007) Reverse glycoblotting allows rapid enrichment glycoproteomics of biopharmaceuticals and disease-related biomarkers. Angew Chem Int Ed 46:8808–8813
Wells L, Vosseller K, Hart GW (2001) Glycosylation of nucleocytoplasmic proteins: signal transduction and O-GlcNAc. Science 291:2376–2378
Rudd PM, Elliott T, Cresswell P, Wilson IA, Dwek RA (2001) Glycosylation and the immune system. Science 291:2370–2376
Helenius A, Aebi M (2001) Intracellular functions of N-linked glycans. Science 291:2364–2368
Varki A (2007) Glycan-based interactions involving vertebrate sialic-acid-recognizing proteins. Nature 446:1023–1029
Bishop JR, Schuksz M, Esko JD (2007) Heparan sulphate proteoglycans fine-tune mammalian physiology. Nature 446:1030–1037
Hart GW, Housley MP, Slawson C (2007) Cycling of O-linked β-N-acetylglucosamine on nucleocytoplasmic proteins. Nature 446:1017–1022
Aoki FK, Ueda N, Yamaguchi A, Kanehisa M, Akutsu T, Mamitsuka H (2004) Application of a new probabilistic model for recognizing complex patters in glycans. Bioinformatics 20:i6–i14
Hashimoto K, Goto S, Kawano S, Aoki-Kohinata KF, Ueda N, Hamajima M, Kawasaki T, Kanehisa M (2006) KEGG as a glycome informatics resources. Glycobiology 16:63R–70R
Loss A, Bunsmann P, Bohne A, Loss A, Schwarzer E, Lang E, von der Lieth C-W (2002) SWEET-DB: an attempt to create annotated data collections for carbohydrates. Nucleic Acids Res 30:405–408
Lütteke T, Bohne-Lang A, Loss A, Goetz T, Frank M, von der Lieth C-W (2006) GLYCOSCIENCES.de: and internet portal to support glycomics and glycobiology research. Glycobiology 16:71R–78R
Raman R, Venkataraman M, Ramakrishnan S, Lang W, Raguram S, Sasisekharan R (2006) Advancing glycomics: implementation strategies at the consortium for functional glycomics. Glycobiology 16:82R–90R
Cooper CA, Joshi HJ, Harrison MJ, Wilkins MR, Packer NH (2003) GlycoSuiteDB: a curated relational database of glycoprotein glycan structures are their biological sources. Nucleic Acids Res 31:511–513
Doubet S, Bock K, Smith D, Darvill A, Albersheim P (1989) The complex carbohydrate structure database. Trends Biochem Sci 14:475–477
Doubet S, Albersheim P (1992) CarbBank. Glycobiology 2:505
Hashimoto R, Hirose K, Sato T, Fukushima N, Miura N, Nishimura S-I (2010) Functional network of glycan-related molecules: Glyco-Net in glycoconjugate data bank. BMC Syst Biol 4:91
Miura N, Nishimura S-I (2008) Glycoconjugate data bank. In: Taniguchi N, Suzuki A, Ito Y, Narimatsu H, Kawasaki T, Hase S (eds) Experimental glycoscience. Springer, New York, pp 435–440
Taniguchi N, Honke K, Fukuda M (eds) (2003) Handbook of glycosyltransferases and related genes. Springer, Tokyo
Benson DA, Karsch-Mizrachi I, Lipman DJ, Ostell J, Wheeler DL (2007) Genbank. Nucleic Acids Res 35:D21–D25
Gasteiger E, Gattiker A, Hoogland C, Ivanyi I, Appel RD, Bairoch A (2003) ExPASy: the proteomics server for in-depth protein knowledge and analysis. Nucleic Acids Res 31:3784–3788
Hamosh A, Scott A, Amberger J, Bocchini C, McKusick V (2004) Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders. Nucleic Acids Res 33:D514–D517
Lopes CT, Franz M, Kazi F, Donaldson SL, Morris Q, Bader GD (2010) Cytoscape Web: an interactive web-based network browser. Bioinformatics 26:2347–2348
Bohne-Lang A, Lang E, Förster T, von der Lieth C-W (2001) LINUCS: linear notation for unique description of carbohydrate sequences. Carbohydr Res 336:1–11
Acknowledgment
This work was supported in part by the Program of Founding Research Centers for Emerging and Reemerging Infectious Diseases and Grants-in-Aid for Regional R&D Proposal-Based Program from Northern Advancement Center for Science & Technology of Hokkaido Japan. The authors also thank Ms. Chikage Chikaoka and Dr. Yasuko Tanaka for their dedicated help in the curation of the data. The authors thank Professor Shin-Ichiro Nishimura for helpful discussion.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer Science+Business Media New York
About this protocol
Cite this protocol
Miura, N. et al. (2015). Functional Network in Posttranslational Modifications: Glyco-Net in Glycoconjugate Data Bank. In: Lütteke, T., Frank, M. (eds) Glycoinformatics. Methods in Molecular Biology, vol 1273. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-2343-4_11
Download citation
DOI: https://doi.org/10.1007/978-1-4939-2343-4_11
Published:
Publisher Name: Humana Press, New York, NY
Print ISBN: 978-1-4939-2342-7
Online ISBN: 978-1-4939-2343-4
eBook Packages: Springer Protocols