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Cited by 189

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Extrinsic Phagocyte-Dependent STING Signaling Dictates the Immunogenicity of Dying Cells

Open access
Ahn, Jeonghyun, Xia, Tianli, Rabasa Capote, Ailem, Betancourt, Dillon, Barber, Glen N.·2018·Cancer Cell

Abstract

SUMMARY The ability of dying cells to activate antigen presenting cells (APCs) is carefully controlled to avoid unwarranted inflammatory responses. Here we show that engulfed cells containing cytosolic dsDNA species (viral or synthetic) or cyclic di-nucleotides (CDNs) are able to stimulate APCs, via extrinsic STING-signaling, to promote antigen cross-presentation. In the absence of STING agonists, dying cells were ineffectual in the stimulation of APCs in trans. Cytosolic STING activators, including CDNs, constitute cellular danger associated molecular patterns only generated by viral infection or following DNA-damage events, that rendered tumor cells highly immunogenic. Our data sheds insight into the molecular mechanisms that drive appropriate anti-tumor adaptive immune responses, while averting harmful autoinflammatory disease, and provides a therapeutic strategy for cancer treatment.

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Crossref · 10.1016/j.ccell.2018.03.027

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Metadata

Authors
Ahn, J., Xia, T., Rabasa Capote, A., Betancourt, D., & Barber, G. N.
Venue
Cancer Cell
Publisher
Elsevier BV
Published
2018-05
Volume
33
Issue
5
Pages
862-873.e5
ISSN
1535-6108 (ISSN-L)
OpenAlex
W2802875360
Cited by
189
References
15
FWCI
6.37
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Extrinsic Phagocyte-Dependent STING Signaling Dictates the Immunogenicity of Dying Cells. https://app.cochat.ai/papers/10.1016/j.ccell.2018.03.027
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Ahn, J., Xia, T., Rabasa Capote, A., Betancourt, D., & Barber, G. N. (2018). Extrinsic Phagocyte-Dependent STING Signaling Dictates the Immunogenicity of Dying Cells. Cancer Cell. https://doi.org/10.1016/j.ccell.2018.03.027

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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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