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Mass Spectrometry of Glycoproteins

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Cover of 'Mass Spectrometry of Glycoproteins'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to glycosylation and mass spectrometry.
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    Chapter 2 Tandem lectin weak affinity chromatography for glycoprotein enrichment.
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    Chapter 3 CSC Technology: Selective Labeling of Glycoproteins by Mild Oxidation to Phenotype Cells.
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    Chapter 4 Use of boronic Acid nanoparticles in glycoprotein enrichment.
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    Chapter 5 Incorporation of unnatural sugars for the identification of glycoproteins.
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    Chapter 6 Characterization of membrane-associated glycoproteins using lectin affinity chromatography and mass spectrometry.
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    Chapter 7 Sialic Acid Capture-and-Release and LC-MS(n) Analysis of Glycopeptides.
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    Chapter 8 In-Solution Digestion of Glycoproteins for Glycopeptide-Based Mass Analysis
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    Chapter 9 Nano-HPLC-MS of Glycopeptides Obtained After Nonspecific Proteolysis.
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    Chapter 10 Glycopeptide Enrichment for MALDI-TOF Mass Spectrometry Analysis by Hydrophilic Interaction Liquid Chromatography Solid Phase Extraction (HILIC SPE).
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    Chapter 11 Separation and identification of glycoforms by capillary electrophoresis with electrospray ionization mass spectrometric detection.
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    Chapter 12 Structural Separations by Ion Mobility-MS for Glycomics and Glycoproteomics
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    Chapter 13 Quantitative analysis of glycoprotein glycans.
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    Chapter 14 Stable isotope labeling of N-glycosylated peptides by enzymatic deglycosylation for mass spectrometry-based glycoproteomics.
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    Chapter 15 Approaches for site mapping and quantification of o-linked glycopeptides.
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    Chapter 16 Glycan profiling: label-free analysis of glycoproteins.
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    Chapter 17 Introduction to informatics in glycoprotein analysis.
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    Chapter 18 Software tools for glycan profiling.
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    Chapter 19 Quantitative Characterization of Glycoproteins in Neurodegenerative Disorders Using iTRAQ.
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    Chapter 20 Quantitative Proteomic Analysis of N-linked Glycoproteins in Human Tear Fluid.
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    Chapter 21 Elucidation of N-glycosites within human plasma glycoproteins for cancer biomarker discovery.
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    Chapter 22 Characterizing the glycosylation state of therapeutic recombinant glycoproteins.
Attention for Chapter 12: Structural Separations by Ion Mobility-MS for Glycomics and Glycoproteomics
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Chapter title
Structural Separations by Ion Mobility-MS for Glycomics and Glycoproteomics
Chapter number 12
Book title
Mass Spectrometry of Glycoproteins
Published in
Methods in molecular biology, October 2012
DOI 10.1007/978-1-62703-146-2_12
Pubmed ID
Book ISBNs
978-1-62703-145-5, 978-1-62703-146-2
Authors

John A. McLean, Larissa S. Fenn

Editors

Jennifer J. Kohler, Steven M. Patrie

Abstract

This chapter describes the utility of ion mobility-mass spectrometry (IM-MS) for the detection and characterization of glycoproteins and associated glycoconjugates. IM-MS provides separations in two dimensions; one on the basis of molecular surface area or structure, and the other on molecular mass which creates the ability to differentiate biomolecular classes and isobaric species. When applied to the characterization of glycoproteins, IM-MS separates peptides from the associated glycans in the same digest without purification, and can also be used to separate different isomeric glycans which is a significant challenge in current glycomic studies. The chapter details the methodologies to use IM-MS for the study of glycans and glycoproteins for an audience ranging from new and potential practitioners to those already utilizing the technique.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 32%
Other 2 11%
Student > Doctoral Student 2 11%
Professor 1 5%
Lecturer 1 5%
Other 0 0%
Unknown 7 37%
Readers by discipline Count As %
Chemistry 9 47%
Psychology 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Unknown 8 42%
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 15 January 2013.
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#20,180,477
of 22,694,633 outputs
Outputs from Methods in molecular biology
#9,829
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Outputs of similar age
#153,396
of 172,649 outputs
Outputs of similar age from Methods in molecular biology
#44
of 58 outputs
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