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Glycobiology of immune responses

Authors: Gabriel A. Rabinovich; Gabriel A. Rabinovich; Yvette van Kooyk; Brian A. Cobb;

Glycobiology of immune responses

Abstract

Unlike their protein “roommates” and their nucleic acid “cousins," carbohydrates remain an enigmatic arm of biology. The central reason for the difficulty in fully understanding how carbohydrate structure and biological function are tied is the nontemplate nature of their synthesis and the resulting heterogeneity. The goal of this collection of expert reviews is to highlight what is known about how carbohydrates and their binding partners—the microbial (non‐self), tumor (altered‐self), and host (self)—cooperate within the immune system, while also identifying areas of opportunity to those willing to take up the challenge of understanding more about how carbohydrates influence immune responses. In the end, these reviews will serve as specific examples of how carbohydrates are as integral to biology as are proteins, nucleic acids, and lipids. Here, we attempt to summarize general concepts on glycans and glycan‐binding proteins (mainly C‐type lectins, siglecs, and galectins) and their contributions to the biology of immune responses in physiologic and pathologic settings.

Keywords

Inflammation, Sialic Acid Binding Immunoglobulin-like Lectins, Glycosylation, Galectins, Glycobiology, Carbohydrates, Immunity, Models, Immunological, Autoimmunity, Adaptive Immunity, Innate Immunity, Immunity, Innate, Polysaccharides, Lectins, Neoplasms, https://purl.org/becyt/ford/3.1, Animals, Humans, Lectins, C-Type, https://purl.org/becyt/ford/3, Glycomics

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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).
    252
    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
    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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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!
252
Top 1%
Top 10%
Top 1%
Green
hybrid