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Article . 2016
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Trends in Biochemical Sciences
Article . 2016 . Peer-reviewed
License: Elsevier TDM
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Sialic Acid Mimetics to Target the Sialic Acid–Siglec Axis

Authors: Büll, C.; Heise, T.; Adema, G.J.; Boltje, T.J.;

Sialic Acid Mimetics to Target the Sialic Acid–Siglec Axis

Abstract

Sialic acid sugars are vital regulators of the immune system through binding to immunosuppressive sialic acid-binding immunoglobulin-like lectin (Siglec) receptors on immune cells. Aberrant sialic acid-Siglec interactions are associated with an increasing number of pathologies including infection, autoimmunity, and cancer. Therefore, the sialic acid-Siglec axis is an emerging target to prevent or affect the course of several diseases. Chemical modifications of the natural sialic acid ligands have led to sialic acid mimetics (SAMs) with improved binding affinity and selectivity towards Siglecs. Recent progress in glycobiotechnology allows the presentation of these SAMs on nanoparticles, polymers, and living cells via bioorthogonal synthesis. These developments now enable the detailed study of the sialic acid-Siglec axis including its therapeutic potential as an immune modulator.

Keywords

Sialic Acid Binding Immunoglobulin-like Lectins, Aging, B-Lymphocytes, Drug Carriers, T-Lymphocytes, Gene Expression, Synthetic Organic Chemistry, Sialyltransferases, Killer Cells, Natural, Radboudumc 2: Cancer development and immune defence RIMLS: Radboud Institute for Molecular Life Sciences, Carbohydrate Sequence, Immune System Diseases, Biomimetic Materials, Sialic Acids, Humans, Immunologic Factors, Nanoparticles, Myeloid Cells, Molecular Targeted Therapy, Protein Binding

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    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).
    139
    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.
    Top 1%
    influence
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    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
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!
139
Top 1%
Top 10%
Top 1%
Green