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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 10: Analysis of Milk Oligosaccharides by Mass Spectrometry.
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Chapter title
Analysis of Milk Oligosaccharides by Mass Spectrometry.
Chapter number 10
Book title
High-Throughput Glycomics and Glycoproteomics
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6493-2_10
Pubmed ID
Book ISBNs
978-1-4939-6491-8, 978-1-4939-6493-2
Authors

Lauren D. Wu, L. Renee Ruhaak, Carlito B. Lebrilla

Editors

Gordan Lauc, Manfred Wuhrer

Abstract

Human milk oligosaccharides (HMOs) are a highly abundant constituent in human milk, and its protective and prebiotic properties have attracted considerable attention. HMOs have been shown to directly and indirectly benefit the overall health of the infant due to a number of functions including serving as a beneficial food for gut bacteria, block to pathogens, and aiding in brain development. Researchers are currently exploring whether these structures may act as possible disease and nutrition biomarkers. Because of this, rapid-throughput methods are desired to investigate biological activity in large patient sets. We have optimized a rapid-throughput protocol to analyze human milk oligosaccharides using micro-volumes of human breast milk for nutritional biomarkers. This method may additionally be applied to other biological fluid substrates such as plasma, urine, and feces. The protocol involves lipid separation via centrifugation, protein precipitation using ethanol, alditol reduction with sodium borohydride, and a final solid-phase extraction purification step using graphitized carbon cartridges. Samples are analyzed using HPLC-Chip/TOF-MS and data filtered on Agilent MassHunter using an in-house library. Individual structural identification is matched against a previously developed HMO library using accurate mass and retention time. Using this method will allow in-depth characterization and profiling of HMOs in large patient sets, and will ease the process of discovering significant nutritional biomarkers in human milk.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 18%
Student > Ph. D. Student 7 16%
Researcher 6 13%
Student > Bachelor 4 9%
Lecturer 3 7%
Other 6 13%
Unknown 11 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 20%
Agricultural and Biological Sciences 7 16%
Medicine and Dentistry 5 11%
Chemistry 5 11%
Immunology and Microbiology 2 4%
Other 5 11%
Unknown 12 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 January 2018.
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#20,346,264
of 22,893,031 outputs
Outputs from Methods in molecular biology
#9,921
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#355,303
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Outputs of similar age from Methods in molecular biology
#845
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