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Cited by 344

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Biologic consequences of Stat1-independent IFN signaling

Open access
Gil, M. Pilar, Bohn, Erwin, O'Guin, Andrew K., Ramana, Chilakamarti V., Levine, Beth, Stark, George R., Virgin, Herbert W., Schreiber, Robert D.·2001·Proceedings of the National Academy of Sciences

Abstract

Although Stat1 is required for many IFN-dependent responses, recent work has shown that IFNγ functions independently of Stat1 to affect the growth of tumor cells or immortalized fibroblasts. We now demonstrate that both IFNγ and IFNα/β regulate proliferative responses in cells of the mononuclear phagocyte lineage derived from Stat1-null mice. Using both representational difference analysis and gene arrays, we show that IFNγ exerts its Stat1-independent actions on mononuclear phagocytes by regulating the expression of many genes. This result was confirmed by monitoring changes in expression and function of the corresponding gene products. Regulation of the expression of these genes requires the IFNγ receptor and Jak1. The physiologic relevance of IFN-dependent, Stat1-independent signaling was demonstrated by monitoring antiviral responses in Stat1-null mice. Thus, the IFN receptors engage alternative Stat1-independent signaling pathways that have important physiological consequences.

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Metadata

Authors
Gil, M. P., Bohn, E., O'Guin, A. K., Ramana, C. V., Levine, B., Stark, G. R., Virgin, H. W., & Schreiber, R. D.
Venue
Proceedings of the National Academy of Sciences
Published
2001-06-05
Volume
98
Issue
12
Pages
6680-6685
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2142903473
Cited by
344
References
1
FWCI
9.94
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Biologic consequences of Stat1-independent IFN signaling. https://app.cochat.ai/papers/10.1073/pnas.111163898
The paper
Gil, M. P., Bohn, E., O'Guin, A. K., Ramana, C. V., Levine, B., Stark, G. R., Virgin, H. W., & Schreiber, R. D. (2001). Biologic consequences of Stat1-independent IFN signaling. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.111163898

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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.