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Cited by 184

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Intrinsic Self-DNA Triggers Inflammatory Disease Dependent on STING

Open access
Ahn, Jeonghyun, Ruiz, Phillip, Barber, Glen N·2014·The Journal of Immunology

Abstract

Inflammatory diseases such as Aicardi–Goutières syndrome and severe systemic lupus erythematosus are generally lethal disorders that have been traced to defects in the exonuclease TREX1 (DNase III). Mice lacking TREX1 similarly die at an early age through comparable symptoms, including inflammatory myocarditis, through chronic activation of the stimulator of IFN genes (STING) pathway. In this study, we demonstrate that phagocytes rather than myocytes are predominantly responsible for causing inflammation, an outcome that could be alleviated following adoptive transfer of normal bone marrow into TREX1−/− mice. TREX1−/− macrophages did not exhibit significant augmented ability to produce proinflammatory cytokines compared with normal macrophages following exposure to STING-dependent activators, but rather appeared chronically stimulated by genomic DNA. These results shed molecular insight into inflammation and provide concepts for the design of new therapies.

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Metadata

Authors
Ahn, J., Ruiz, P., & Barber, G. N.
Venue
The Journal of Immunology
Published
2014-11-01
Volume
193
Issue
9
Pages
4634-4642
ISSN
  • 0022-1767 (ISSN-L)
  • 1550-6606
OpenAlex
W1783098408
Cited by
184
References
10
FWCI
7.00
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Intrinsic Self-DNA Triggers Inflammatory Disease Dependent on STING. https://app.cochat.ai/papers/10.4049/jimmunol.1401337
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Ahn, J., Ruiz, P., & Barber, G. N. (2014). Intrinsic Self-DNA Triggers Inflammatory Disease Dependent on STING. The Journal of Immunology. https://doi.org/10.4049/jimmunol.1401337

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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.