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Volume 16 Issue 7, July 2016

'Illuminating inflammasomes' by Simon Bradbrook, inspired by the Reviews on p407.

Research Highlight

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  • The SOCS family member CIS is a crucial negative regulator of IL-15-induced signalling in NK cells.

    • Yvonne Bordon
    Research Highlight
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Journal Club

  • Steven Ziegler describes a 1986 study by Mossmannet al. that defined two subsets of T helper cells on the basis of their activities.

    • Steven F. Ziegler
    Journal Club
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Research Highlight

  • Mitochondrial remodelling instructs metabolic adaptations in T cells.

    • Lucy Bird
    Research Highlight
  • Non-canonical inflammasome activation by self-derived oxidized phospholipid promotes both IL-1β release and cell survival.

    • Kirsty Minton
    Research Highlight
  • Contact hypersensitivity induces a memory NK cell response that requires the NLRP3 inflammasome in tissue-resident macrophages.

    • Elisabeth Kugelberg
    Research Highlight
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Review Article

  • Dysregulated inflammasome activation is linked to numerous inflammatory disorders and is therefore tightly regulated. In this Review, the authors discuss the latest insights into the activation and assembly mechanisms of inflammasomes, the structure of distinct inflammasome complexes and the mechanisms that regulate inflammasome signalling.

    • Petr Broz
    • Vishva M. Dixit
    Review Article
  • Structural and functional similarities between the cytolytic synapses formed by CD8+T cells and primary cilia are shedding new light on the mechanisms and order of events of synapse formation.

    • Maike de la Roche
    • Yukako Asano
    • Gillian M. Griffiths
    Review Article
  • Here, the authors discuss the role of C-type lectin receptor signalling pathways in the control of T helper cell differentiation and examine how these receptors and pathways can be harnessed for vaccine strategies.

    • Teunis B. H. Geijtenbeek
    • Sonja I. Gringhuis
    Review Article
  • A broad and practical overview for applying computational techniques to analyse, visualize and interpret high-dimensional data from flow cytometry. Computational flow cytometry improves reproducibility, allows automated identification of cell populations and biomarkers, as well as enables predictive modelling of clinical correlates and cell development pathways.

    • Yvan Saeys
    • Sofie Van Gassen
    • Bart N. Lambrecht
    Review Article
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