Literature DB >> 35696078

Functions of Glycosylation and Related Web Resources for Its Prediction.

Kiyoko F Aoki-Kinoshita1.   

Abstract

Glycosylation involves the attachment of carbohydrate sugar chains, or glycans, onto an amino acid residue of a protein. These glycans are often branched structures and serve to modulate the function of proteins. Glycans are synthesized through a complex process of enzymatic reactions that occur in the Golgi apparatus in mammalian systems. Because there is currently no sequencer for glycans, technologies such as mass spectrometry is used to characterize glycans in a biological sample to ascertain its glycome. This is a tedious process that requires high levels of expertise and equipment. Thus, the enzymes that work on glycans, called glycogenes or glycoenzymes, have been studied to better understand glycan function. With the development of glycan-related databases and a glycan repository, bioinformatics approaches have attempted to predict the glycosylation pathway and the glycosylation sites on proteins. This chapter introduces these methods and related Web resources for understanding glycan function.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Biosynthesis; Glycans; Glycobiology; Glycome; Glycosylation

Mesh:

Substances:

Year:  2022        PMID: 35696078     DOI: 10.1007/978-1-0716-2317-6_6

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  41 in total

1.  Analyzing glycan structure synthesis with the Glycan Pathway Predictor (GPP) Tool.

Authors:  Kiyoko F Aoki-Kinoshita
Journal:  Methods Mol Biol       Date:  2015

2.  In silico approaches for unveiling novel glycobiomarkers in cancer.

Authors:  Rita Azevedo; André M N Silva; Celso A Reis; Lúcio Lara Santos; José Alexandre Ferreira
Journal:  J Proteomics       Date:  2017-08-04       Impact factor: 4.044

3.  GlycoDeNovo - an Efficient Algorithm for Accurate de novo Glycan Topology Reconstruction from Tandem Mass Spectra.

Authors:  Pengyu Hong; Hui Sun; Long Sha; Yi Pu; Kshitij Khatri; Xiang Yu; Yang Tang; Cheng Lin
Journal:  J Am Soc Mass Spectrom       Date:  2017-08-07       Impact factor: 3.109

4.  Bioinformatics in glycomics: glycan characterization with mass spectrometric data using SimGlycan.

Authors:  Arun Apte; Ningombam Sanjib Meitei
Journal:  Methods Mol Biol       Date:  2010

5.  A novel human beta1,3-N-acetylgalactosaminyltransferase that synthesizes a unique carbohydrate structure, GalNAcbeta1-3GlcNAc.

Authors:  Toru Hiruma; Akira Togayachi; Kayo Okamura; Takashi Sato; Norihiro Kikuchi; Yeon-Dae Kwon; Aya Nakamura; Katsuya Fujimura; Masanori Gotoh; Kouichi Tachibana; Yasuko Ishizuka; Toshiaki Noce; Hiroshi Nakanishi; Hisashi Narimatsu
Journal:  J Biol Chem       Date:  2004-01-14       Impact factor: 5.157

6.  A mathematical model to derive N-glycan structures and cellular enzyme activities from mass spectrometric data.

Authors:  Frederick J Krambeck; Sandra V Bennun; Someet Narang; Sean Choi; Kevin J Yarema; Michael J Betenbaugh
Journal:  Glycobiology       Date:  2009-06-08       Impact factor: 4.313

7.  A mathematical model of N-linked glycoform biosynthesis.

Authors:  P Umaña; J E Bailey
Journal:  Biotechnol Bioeng       Date:  1997-09-20       Impact factor: 4.530

8.  Toward Automatic and Comprehensive Glycan Characterization by Online PGC-LC-EED MS/MS.

Authors:  Juan Wei; Yang Tang; Yu Bai; Joseph Zaia; Catherine E Costello; Pengyu Hong; Cheng Lin
Journal:  Anal Chem       Date:  2019-12-24       Impact factor: 6.986

Review 9.  The Lectin Frontier Database (LfDB), and data generation based on frontal affinity chromatography.

Authors:  Jun Hirabayashi; Hiroaki Tateno; Toshihide Shikanai; Kiyoko F Aoki-Kinoshita; Hisashi Narimatsu
Journal:  Molecules       Date:  2015-01-08       Impact factor: 4.411

10.  A computational framework for the automated construction of glycosylation reaction networks.

Authors:  Gang Liu; Sriram Neelamegham
Journal:  PLoS One       Date:  2014-06-30       Impact factor: 3.240

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