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Signalling C-Type Lectins in Antimicrobial Immunity

Authors: Drummond, Rebecca A.; Brown, Gordon D.;

Signalling C-Type Lectins in Antimicrobial Immunity

Abstract

Since it was first proposed that the innate immune system could recognise conserved microbial-associated molecular patterns (or PAMPs) through inherited receptors expressed by the host (termed pattern recognition receptors, or PRRs), several families of PRRs have been discovered and characterised. The most famous of these are the Toll-like receptors (TLRs), but there is growing appreciation that another large family of PRRs, known as the C-type lectin receptors (CLRs), also play a major role in antimicrobial immunity. CLRs have one or more carbohydrate recognition domains (CRDs) that recognise a wide variety of carbohydrate ligands. Other members of the CLR family, which do not recognise carbohydrate ligands but contain similar protein folds called C-type lectin-like domains (CTLD), have also been discovered and are included in this large family whose members are divided into 17 groups relating to phylogeny and structure. Upon ligand binding, some CLRs (such as Dectin-1, Dectin-2, and Mincle) undergo intracellular signalling to drive cellular responses. Here, we outline the signalling pathways downstream of these receptors and discuss how they, and some other CLRs (including the Mannose Receptor, CLEC5A, CLEC9A, and DC-SIGN), contribute to immunity against fungi, bacteria, viruses, and parasites.

Country
United Kingdom
Keywords

570, QH301-705.5, Immunology, 610, Gram-Positive Bacteria, Infections, Microbiology, Pearls, Virology, Gram-Negative Bacteria, Genetics, Animals, Humans, Lectins, C-Type, Parasites, Wellcome Trust, Biology (General), Molecular Biology, Fungi, Immunity, QR Microbiology, RC581-607, Medical Research Council (MRC), QR, Immune System, Host-Pathogen Interactions, Viruses, Parasitology, Immunologic diseases. Allergy, Signal Transduction

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    selected citations
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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).
    101
    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 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    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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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!
101
Top 10%
Top 10%
Top 1%
Green
gold