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Biochemical Society Transactions
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License: CC BY
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Biochemical Society Transactions
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The Hitchhiker's guide to glycoproteomics

Authors: Tiago Oliveira; Morten Thaysen-Andersen; Nicolle H. Packer; Daniel Kolarich;

The Hitchhiker's guide to glycoproteomics

Abstract

Protein glycosylation is one of the most common post-translational modifications that are essential for cell function across all domains of life. Changes in glycosylation are considered a hallmark of many diseases, thus making glycoproteins important diagnostic and prognostic biomarker candidates and therapeutic targets. Glycoproteomics, the study of glycans and their carrier proteins in a system-wide context, is becoming a powerful tool in glycobiology that enables the functional analysis of protein glycosylation. This ‘Hitchhiker's guide to glycoproteomics’ is intended as a starting point for anyone who wants to explore the emerging world of glycoproteomics. The review moves from the techniques that have been developed for the characterisation of single glycoproteins to technologies that may be used for a successful complex glycoproteome characterisation. Examples of the variety of approaches, methodologies, and technologies currently used in the field are given. This review introduces the common strategies to capture glycoprotein-specific and system-wide glycoproteome data from tissues, body fluids, or cells, and a perspective on how integration into a multi-omics workflow enables a deep identification and characterisation of glycoproteins — a class of biomolecules essential in regulating cell function.

Keywords

Proteomics, 570, Glycobiology, 610, multi-omics, Proteomics and intermolecular interactions (excl. medical proteomics), glycomics, Biochemistry and cell biology, Proteolysis, Medical biochemistry and metabolomics, glycoproteomics, Humans, Proteomics and metabolomics, Medical biochemistry - proteins and peptides (incl. medical proteomics), Glycoconjugates, Analytical biochemistry, Review Articles, mass spectrometry, Glycoproteins

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    popularity
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    Top 10%
    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Top 10%
Average
Top 1%
Green
hybrid