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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 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 title
Carbohydrate Microarray Technology Applied to High-Throughput Mapping of Plant Cell Wall Glycans Using Comprehensive Microarray Polymer Profiling (CoMPP).
Chapter number 12
Book title
High-Throughput Glycomics and Glycoproteomics
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6493-2_12
Pubmed ID
Book ISBNs
978-1-4939-6491-8, 978-1-4939-6493-2
Authors

Stjepan Krešimir Kračun, Jonatan Ulrik Fangel, Maja Gro Rydahl, Henriette Lodberg Pedersen, Silvia Vidal-Melgosa, William George Tycho Willats

Editors

Gordan Lauc, Manfred Wuhrer

Abstract

Cell walls are an important feature of plant cells and a major component of the plant glycome. They have both structural and physiological functions and are critical for plant growth and development. The diversity and complexity of these structures demand advanced high-throughput techniques to answer questions about their structure, functions and roles in both fundamental and applied scientific fields. Microarray technology provides both the high-throughput and the feasibility aspects required to meet that demand. In this chapter, some of the most recent microarray-based techniques relating to plant cell walls are described together with an overview of related contemporary techniques applied to carbohydrate microarrays and their general potential in glycoscience. A detailed experimental procedure for high-throughput mapping of plant cell wall glycans using the comprehensive microarray polymer profiling (CoMPP) technique is included in the chapter and provides a good example of both the robust and high-throughput nature of microarrays as well as their applicability to plant glycomics.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 22%
Researcher 5 16%
Student > Master 3 9%
Student > Postgraduate 2 6%
Professor 1 3%
Other 2 6%
Unknown 12 38%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 28%
Biochemistry, Genetics and Molecular Biology 4 13%
Chemistry 2 6%
Psychology 1 3%
Immunology and Microbiology 1 3%
Other 0 0%
Unknown 15 47%