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High-Throughput Glycomics and Glycoproteomics

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Cover of 'High-Throughput Glycomics and Glycoproteomics'

Table of Contents

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    Book Overview
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    Chapter 1 Ubiquitous Importance of Protein Glycosylation.
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    Chapter 2 Laboratory Experimental Design for a Glycomic Study.
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    Chapter 3 High-Throughput Analysis of the IgG N-Glycome by UPLC-FLR.
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    Chapter 4 High-Throughput Analysis of IgG Fc Glycopeptides by LC-MS.
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    Chapter 5 Sialic Acid Derivatization for the Rapid Subclass- and Sialic Acid Linkage-Specific MALDI-TOF-MS Analysis of IgG Fc-Glycopeptides.
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    Chapter 6 The Use of Multiple Reaction Monitoring on QQQ-MS for the Analysis of Protein- and Site-Specific Glycosylation Patterns in Serum.
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    Chapter 7 Analysis of Permethylated Glycan by Liquid Chromatography (LC) and Mass Spectrometry (MS).
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    Chapter 8 High-Throughput Analysis of the Plasma N-Glycome by UHPLC.
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    Chapter 9 Site-Specific N- and O-Glycopeptide Analysis Using an Integrated C18-PGC-LC-ESI-QTOF-MS/MS Approach.
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    Chapter 10 Analysis of Milk Oligosaccharides by Mass Spectrometry.
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    Chapter 11 N- and O-Glycomics from Minor Amounts of Formalin-Fixed, Paraffin-Embedded Tissue Samples.
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    Chapter 12 Carbohydrate Microarray Technology Applied to High-Throughput Mapping of Plant Cell Wall Glycans Using Comprehensive Microarray Polymer Profiling (CoMPP).
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    Chapter 13 Analysis of Invertebrate and Protist N-Glycans.
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    Chapter 14 High-Throughput and High-Sensitivity Mass Spectrometry-Based N-Glycomics of Mammalian Cells.
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    Chapter 15 Analysis of N-Glycosylation of Total Membrane Proteins.
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    Chapter 16 HILIC-UPLC Analysis of Brain Tissue N-Glycans.
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    Chapter 17 Automated Integration of a UPLC Glycomic Profile.
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    Chapter 18 Databases and Associated Tools for Glycomics and Glycoproteomics.
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    Chapter 19 High-Throughput N-Glycan Analysis with Rapid Magnetic Bead-Based Sample Preparation.
Attention for Chapter 7: Analysis of Permethylated Glycan by Liquid Chromatography (LC) and Mass Spectrometry (MS).
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Chapter title
Analysis of Permethylated Glycan by Liquid Chromatography (LC) and Mass Spectrometry (MS).
Chapter number 7
Book title
High-Throughput Glycomics and Glycoproteomics
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6493-2_7
Pubmed ID
Book ISBNs
978-1-4939-6491-8, 978-1-4939-6493-2
Authors

Shiyue Zhou, Kerry M. Wooding, Yehia Mechref

Editors

Gordan Lauc, Manfred Wuhrer

Abstract

The development of a reliable and high-throughput glycomic profiling strategy is in high demand due to the biological roles of glycans and their association with different diseases. Native analysis can be quite difficult because of the low ionization efficiency and microheterogeneity of glycans. In this chapter, the sample preparation protocols and LC-MS analysis of permethylated glycan strategies are introduced. Solid-phase permethylation is a fast, convenient, and high-yield method to stabilize sialic acid and improve glycan ionization efficiency and analysis in positive mode; this results in a more sensitive and reliable glycomic profiling strategy. Several modifications in the LC method are also mentioned in this chapter. Online purification simplifies sample preparation and reduces sample loss. Elevating the column temperature significantly improves the peak shape of permethylated glycans and results in isomeric separation. The identification and quantification of permethylated glycans can be achieved through high resolution MS and MS/MS experiments using a MRM method; both approaches are reliable, sensitive, and conducive to high-throughput glycomic studies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 17%
Student > Ph. D. Student 4 13%
Student > Postgraduate 4 13%
Student > Bachelor 3 10%
Student > Master 2 7%
Other 4 13%
Unknown 8 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 23%
Agricultural and Biological Sciences 7 23%
Chemistry 6 20%
Medicine and Dentistry 1 3%
Unknown 9 30%