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Functional Glycomics

Overview of attention for book
Cover of 'Functional Glycomics'

Table of Contents

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    Book Overview
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    Chapter 1 Functional Glycomics and Glycobiology: An Overview
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    Chapter 2 Historical Overview of Glycoanalysis
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    Chapter 3 Quantitative Glycomics
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    Chapter 4 Human Gangliosides and Bacterial Lipo-oligosaccharides in the Development of Autoimmune Neuropathies
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    Chapter 5 Biotinylated Multivalent Glycoconjugates for Surface Coating
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    Chapter 6 Profiling LPS Glycoforms of Non-typeable Haemophilus influenzae by Multiple-Stage Tandem Mass Spectrometry
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    Chapter 7 In vitro reconstitution of Escherichia coli O86 O antigen repeating unit.
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    Chapter 8 Glycoprotein Characterization
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    Chapter 9 N-Linked Glycoprotein Analysis Using Dual-Extraction Ultrahigh-Performance Liquid Chromatography and Electrospray Tandem Mass Spectrometry
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    Chapter 10 Microarray-Based Study of Carbohydrate–Protein Binding
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    Chapter 11 The Application of NMR Spectroscopy to Functional Glycomics
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    Chapter 12 Metabolomics in Glycomics
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    Chapter 13 Characterization of Lipid-Linked Oligosaccharides by Mass Spectrometry
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    Chapter 14 A Glycomics Approach to the Discovery of Potential Cancer Biomarkers
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    Chapter 15 Extraction of Chondroitin/Dermatan Sulfate Glycosaminoglycans from Connective Tissue for Mass Spectrometric Analysis
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    Chapter 16 N -Linked Protein Glycosylation in a Bacterial System
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    Chapter 17 Characterization of Polysaccharides Using Mass Spectrometry for Bacterial Serotyping
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    Chapter 18 Is Permethylation Strategy Always Applicable to Protein N-Glycosylation Study?: A Case Study on the O-Acetylation of Sialic Acid in Fish Serum Glycans
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    Chapter 19 Bioinformatics in glycomics: glycan characterization with mass spectrometric data using SimGlycan.
Attention for Chapter 11: The Application of NMR Spectroscopy to Functional Glycomics
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Chapter title
The Application of NMR Spectroscopy to Functional Glycomics
Chapter number 11
Book title
Functional Glycomics
Published in
Methods in molecular biology, January 2010
DOI 10.1007/978-1-60761-454-8_11
Pubmed ID
Book ISBNs
978-1-60761-453-1, 978-1-60761-454-8
Authors

Jean-Robert Brisson, Evgeny Vinogradov, David J. McNally, Nam Huan Khieu, Ian C. Schoenhofen, Susan M. Logan, Harold Jarrell, Brisson, Jean-Robert, Vinogradov, Evgeny, McNally, David J., Khieu, Nam Huan, Schoenhofen, Ian C., Logan, Susan M., Jarrell, Harold

Abstract

Glycomics which is the study of saccharides and genes responsible for their formation requires the continuous development of rapid and sensitive methods for the identification of glycan structures. It involves glycoanalysis which relies upon the development of methods for determining the structure and interactions of carbohydrates. For the application of functional glycomics to microbial virulence, carbohydrates and their associated metabolic and carbohydrate processing enzymes and respective genes can be identified and exploited as targets for drug discovery, glyco-engineering, vaccine design, and detection and diagnosis of diseases. Glycomics also encompasses the detailed understanding of carbohydrate-protein interactions and this knowledge can be applied to research efforts focused toward the development of vaccines and immunological therapies to alleviate infectious diseases.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Student > Doctoral Student 2 22%
Researcher 2 22%
Other 1 11%
Student > Bachelor 1 11%
Other 0 0%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 33%
Agricultural and Biological Sciences 3 33%
Engineering 2 22%
Chemistry 1 11%
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 06 July 2013.
All research outputs
#20,196,270
of 22,714,025 outputs
Outputs from Methods in molecular biology
#9,852
of 13,079 outputs
Outputs of similar age
#156,722
of 163,661 outputs
Outputs of similar age from Methods in molecular biology
#108
of 120 outputs
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So far Altmetric has tracked 13,079 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.