Literature DB >> 26003531

Automating mass spectrometry-based quantitative glycomics using aminoxy tandem mass tag reagents with SimGlycan.

Ningombam Sanjib Meitei1, Arun Apte2, Sergei I Snovida3, John C Rogers3, Julian Saba4.   

Abstract

Protein glycosylation is a common post-translational modification, which serves critical roles in the biological processes of organisms. Monitoring of changes in the abundance and structure of glycans may be necessary to explain the correlations between protein glycosylation and various diseases. Hence, the growing importance of glycoproteomics necessitates in-depth qualitative and quantitative studies of glycans. One of the emerging trends in glycomics research is the innovation related to accurate mass spectrometry based quantitative analysis of glycans. Recently, we have introduced aminoxyTMT reagents, which enable efficient relative quantitation of carbohydrates, improved glycan ionization efficiency and increased analytical throughput. These reagents can be used for quantitative analysis of N-glycans by direct infusion or liquid chromatography (LC)-coupled to electrospray ionization mass spectrometry (ESI-MS). However, unlike in proteomics, one of the major challenges left unaddressed is the lack of informatics tools to automate the qualitative and quantitative analysis of generated data. This analysis typically includes identification/quantitation of glycans using MS/MS data and differential analysis across biological samples. We have developed software modules to streamline such protocols for quantitative analysis of aminoxyTMT labeled-glycans derived from complex mixtures. This article is part of a Special Issue entitled: Proteomics in India.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  AminoxyTMT 6; Glycan quantitation; Reporter ions; SimGlycan; Tandem mass spectrometry

Mesh:

Substances:

Year:  2015        PMID: 26003531     DOI: 10.1016/j.jprot.2015.05.015

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  10 in total

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Authors:  Philip L Loziuk; Elizabeth S Hecht; David C Muddiman
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Review 3.  Maturing Glycoproteomics Technologies Provide Unique Structural Insights into the N-glycoproteome and Its Regulation in Health and Disease.

Authors:  Morten Thaysen-Andersen; Nicolle H Packer; Benjamin L Schulz
Journal:  Mol Cell Proteomics       Date:  2016-02-29       Impact factor: 5.911

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5.  Analysis of Viral Spike Protein N-Glycosylation Using Ultraviolet Photodissociation Mass Spectrometry.

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6.  GlycoHunter: An Open-Source Software for the Detection and Relative Quantification of INLIGHT-Labeled N-Linked Glycans.

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7.  Screening for biomarkers reflecting the progression of Babesia microti infection.

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Review 8.  Towards a standardized bioinformatics infrastructure for N- and O-glycomics.

Authors:  Miguel A Rojas-Macias; Julien Mariethoz; Peter Andersson; Chunsheng Jin; Vignesh Venkatakrishnan; Nobuyuki P Aoki; Daisuke Shinmachi; Christopher Ashwood; Katarina Madunic; Tao Zhang; Rebecca L Miller; Oliver Horlacher; Weston B Struwe; Yu Watanabe; Shujiro Okuda; Fredrik Levander; Daniel Kolarich; Pauline M Rudd; Manfred Wuhrer; Carsten Kettner; Nicolle H Packer; Kiyoko F Aoki-Kinoshita; Frédérique Lisacek; Niclas G Karlsson
Journal:  Nat Commun       Date:  2019-07-22       Impact factor: 14.919

9.  Structures and functions of invertebrate glycosylation.

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10.  Multiplexed bovine milk oligosaccharide analysis with aminoxy tandem mass tags.

Authors:  Randall C Robinson; Nina Aagaard Poulsen; Daniela Barile
Journal:  PLoS One       Date:  2018-04-26       Impact factor: 3.240

  10 in total

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