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Trends in Immunology
Article . 2017 . Peer-reviewed
License: Elsevier TDM
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Lipopolysaccharide Detection across the Kingdoms of Life

Authors: Jonathan C, Kagan;

Lipopolysaccharide Detection across the Kingdoms of Life

Abstract

Studies in recent years have uncovered a diverse set of eukaryotic receptors that recognize lipopolysaccharide (LPS), the major outer-membrane component of Gram-negative bacteria. Indeed, Toll-like receptors, G-protein-coupled receptors, integrins, receptor-like kinases, and caspases have emerged as important LPS-interacting proteins. In this review, the mammalian receptors that detect LPS are described. I highlight how no host protein is involved in all LPS responses, but a single lipid (phosphatidylinositol-4,5-bisphosphate) regulates many LPS responses, including endocytosis, phagocytosis, inflammation, and pyroptosis. I further describe LPS response systems that operate specifically in plants, and discuss potentially new LPS response systems that await discovery. This diversity of receptors for a single microbial product underscores the importance of host-microbe interactions in multiple kingdoms of life.

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Keywords

Inflammation, Lipopolysaccharides, Activin Receptors, Toll-Like Receptors, Plants, Lipid Metabolism, Endocytosis, Receptors, G-Protein-Coupled, Phagocytosis, Caspases, Host-Pathogen Interactions, Pyroptosis, Animals, Humans

  • BIP!
    Impact byBIP!
    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).
    63
    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 10%
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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!
63
Top 10%
Top 10%
Top 10%
bronze