Literature DB >> 12015993

Separation technologies for glycomics.

Jun Hirabayashi1, Ken-ichi Kasai.   

Abstract

Progress in genome projects has provided us with fundamentals on genetic information; however, the functions of a large number of genes remain to be elucidated. To understand the in vivo functions of eukaryotic genes, it is essential to grasp the features of their post-translational modifications. Among them, protein glycosylation is a central issue to be discussed, considering the predominant roles of glycoproteins in cell-cell and cell-substratum recognition events in multicellular organisms. In this context, it is necessary to establish a core strategy for analyzing glycosylated proteins under the concept of the "glycome" [Trends Glycosci. Glycotechnol. 12 (2000) 1]. Though the term glycome should be defined, in analogy to the genome and proteome, as "a whole set of glycans produced in a single organism", here we propose a glycome project specifically focusing on glycoproteins. Principal objectives in the project are to identify: (1) which genes encode glycoproteins (i.e. genome information); (2) which sites among potential glycosylation sites are actually glycosylated (i.e. glycosylation site information); (3) what are the structures of glycans (i.e. structural information); and (4) what are the effects (functions) of glycosylation (functional information). For these purposes, two affinity technologies have been introduced. One is named the "glyco-catch method" to identify genes encoding glycoproteins [Proteomics 1 (2001) 295], and the other is the recently reinforced "frontal affinity chromatography" [J. Chromatogr. A 890 (2000) 261]. By the former method, genes that encode glycoproteins as well as glycosylation sites are systematically identified by the efficient combination of conventional lectin-affinity chromatography and contemporary in silico database searching. The following three actions have been devised for rapid and systematic characterization of glycans: (1) mass spectrometry to acquire exact mass information; (2) 2-D/3-D mapping to obtain refined chemical information; and (3) reinforced frontal affinity chromatography to determine affinity constants (K(a)-values) for a set of lectins. Pyridylaminated glycans are used throughout the characterization processes. In this review, the concept and strategy of glycomic approaches are described referring to the on-going glycome project focused on the nematode Caenorhabditis elegans.

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Year:  2002        PMID: 12015993     DOI: 10.1016/s1570-0232(02)00057-0

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  8 in total

Review 1.  Mass spectrometry and glycomics.

Authors:  Joseph Zaia
Journal:  OMICS       Date:  2010-08

2.  Surface glycoproteomic analysis of hepatocellular carcinoma cells by affinity enrichment and mass spectrometric identification.

Authors:  Wei Mi; Wei Jia; Zhaobin Zheng; Jinglan Wang; Yun Cai; Wantao Ying; Xiaohong Qian
Journal:  Glycoconj J       Date:  2012-07-01       Impact factor: 2.916

3.  Vibratory reaction unit for the rapid analysis of proteins and glycochains.

Authors:  Yukie Sasakura; Makoto Nogami; Noriko Kobayashi; Katsuhiro Kanda
Journal:  Anal Chem Insights       Date:  2007-09-17

4.  Glyco-catch method: A lectin affinity technique for glycoproteomics.

Authors:  Jun Hirabayashi; Tomomi Hashidate; Ken-ichi Kasai
Journal:  J Biomol Tech       Date:  2002-12

5.  The role of Ser-(Arg-Ser-Arg-Ser-GlucNAc)19-GlucNAc Fasciola gigantica glycoprotein in the diagnosis of prepatent fasciolosis in rabbits.

Authors:  Eman H Abdel-Rahman; Azza H Mohamed; Adel A H Abdel-Rahman; Eman E El Shanawany
Journal:  J Parasit Dis       Date:  2014-04-26

Review 6.  Glycoprotein analysis using protein microarrays and mass spectrometry.

Authors:  Tasneem Patwa; Chen Li; Diane M Simeone; David M Lubman
Journal:  Mass Spectrom Rev       Date:  2010 Sep-Oct       Impact factor: 10.946

Review 7.  Glycomic analysis: an array of technologies.

Authors:  Lakshmi Krishnamoorthy; Lara K Mahal
Journal:  ACS Chem Biol       Date:  2009-09-18       Impact factor: 5.100

8.  Quantification of the N-glycosylated secretome by super-SILAC during breast cancer progression and in human blood samples.

Authors:  Paul J Boersema; Tamar Geiger; Jacek R Wisniewski; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2012-10-22       Impact factor: 5.911

  8 in total

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