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Cited by 365

The DOI matches its Crossref record; 192 of the 192 references it cites were found in a registry or an index.

Regulating IRFs in IFN Driven Disease

Open access
Jefferies, Caroline A.·2019·Frontiers in Immunology

Abstract

The Interferon regulatory factors (IRFs) are a family of transcription factors that play pivotal roles in many aspects of the immune response, including immune cell development and differentiation and regulating responses to pathogens. Three family members, IRF3, IRF5, and IRF7, are critical to production of type I interferons downstream of pathogen recognition receptors that detect viral RNA and DNA. A fourth family member, IRF9, regulates interferon-driven gene expression. In addition, IRF4, IRF8, and IRF5 regulate myeloid cell development and phenotype, thus playing important roles in regulating inflammatory responses. Thus, understanding how their levels and activity is regulated is of critical importance given that perturbations in either can result in dysregulated immune responses and potential autoimmune disease. This review will focus the role of IRF family members in regulating type I IFN production and responses and myeloid cell development or differentiation, with particular emphasis on how regulation of their levels and activity by ubiquitination and microRNAs may impact autoimmune disease.

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Metadata

Authors
Jefferies, C. A.
Venue
Frontiers in Immunology
Published
2019-03-29
Volume
10
Pages
325-325
ISSN
1664-3224 (ISSN-L)
OpenAlex
W2931761017
Cited by
365
References
192
FWCI
13.54
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Regulating IRFs in IFN Driven Disease. https://app.cochat.ai/papers/10.3389/fimmu.2019.00325
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Jefferies, C. A. (2019). Regulating IRFs in IFN Driven Disease. Frontiers in Immunology. https://doi.org/10.3389/fimmu.2019.00325

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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.