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Cited by 749

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CD27 Dissects Mature NK Cells into Two Subsets with Distinct Responsiveness and Migratory Capacity

Hayakawa, Yoshihiro, Smyth, Mark J·2006·The Journal of Immunology

Abstract

Lineage differentiation and the formation of heterogeneous mature subsets are crucial for immune cells to maintain a breadth of responsiveness to pathogens while controlling reactivity to self. In this study, we report that CD27 is a key marker of the NK cell lineage, dissecting the mature Mac-1high NK cell pool into two functionally distinct subsets. The CD27low NK cell subset possesses a higher threshold to stimulation and appears to be tightly regulated by the expression of NK cell inhibitory receptors. Comparatively, the CD27high NK cell subset displays a greater effector function, exhibits a distinct tissue distribution and responsiveness to chemokines, and interacts productively with dendritic cells. Importantly, we have verified that CD27high and CD27low subsets with distinct cell surface phenotypes also exist in human peripheral blood. These findings clearly reclassify mature NK cells into two distinct subsets and begin to discern their specific role in immune responses.

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Crossref · 10.4049/jimmunol.176.3.1517

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Metadata

Authors
Hayakawa, Y., & Smyth, M. J.
Venue
The Journal of Immunology
Published
2006-02-01
Volume
176
Issue
3
Pages
1517-1524
ISSN
  • 0022-1767 (ISSN-L)
  • 1550-6606
OpenAlex
W2096449627
Cited by
749
References
1
FWCI
10.72
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: CD27 Dissects Mature NK Cells into Two Subsets with Distinct Responsiveness and Migratory Capacity. https://app.cochat.ai/papers/10.4049/jimmunol.176.3.1517
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Hayakawa, Y., & Smyth, M. J. (2006). CD27 Dissects Mature NK Cells into Two Subsets with Distinct Responsiveness and Migratory Capacity. The Journal of Immunology. https://doi.org/10.4049/jimmunol.176.3.1517

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.