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Cited by 485

The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.

Glycocalyx engineering reveals a Siglec-based mechanism for NK cell immunoevasion

Open access
Hudak, Jason E, Canham, Stephen M, Bertozzi, Carolyn R·2014·Nature Chemical Biology

Abstract

The increase of cell surface sialic acid is a characteristic shared by many tumor types. A correlation between hypersialylation and immunoprotection has been observed, but few hypotheses have provided a mechanistic understanding of this immunosuppressive phenomenon. Here, we show that increasing sialylated glycans on cancer cells inhibits human NK cell activation through the recruitment of Siglec-7. Key to these findings was the use of glycopolymers end-functionalized with phospholipids, which enable the introduction of synthetically defined glycans onto cancer cell surfaces. Remodeling the sialylation status of cancer cells affected the susceptibility to NK cell cytotoxicity via Siglec-7 engagement in a variety of tumor types. These results support a model in which hypersialylation offers a selective advantage to tumor cells under pressure from NK immunosurveillance by increasing Siglec ligands. We also exploited this finding to protect allogeneic and xenogeneic primary cells from NK-mediated killing suggesting the potential of Siglecs as therapeutic targets in cell transplant therapy.

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Metadata

Authors
Hudak, J. E., Canham, S. M., & Bertozzi, C. R.
Venue
Nature Chemical Biology
Published
2013-11-24
Volume
10
Issue
1
Pages
69-75
ISSN
  • 1552-4450 (ISSN-L)
  • 1552-4469
OpenAlex
W2144577119
Cited by
485
References
53
FWCI
9.28
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Glycocalyx engineering reveals a Siglec-based mechanism for NK cell immunoevasion. https://app.cochat.ai/papers/10.1038/nchembio.1388
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Hudak, J. E., Canham, S. M., & Bertozzi, C. R. (2014). Glycocalyx engineering reveals a Siglec-based mechanism for NK cell immunoevasion. Nature Chemical Biology. https://doi.org/10.1038/nchembio.1388

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

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