Transcriptional profiling unveils type I and II interferon networks in blood and tissues across diseases.

Akul Singhania ORCID logo ; Christine M Graham ; Leona Gabryšová ORCID logo ; Lúcia Moreira-Teixeira ORCID logo ; Evangelos Stavropoulos ; Jonathan M Pitt ; Probir Chakravarty ; Annika Warnatsch ORCID logo ; William J Branchett ORCID logo ; Laura Conejero ORCID logo ; +25 more... Jing-Wen Lin ; Sophia Davidson ; Mark S Wilson ORCID logo ; Gregory Bancroft ORCID logo ; Jean Langhorne ; Eva Frickel ORCID logo ; Abdul K Sesay ; Simon L Priestnall ; Eleanor Herbert ; Marianna Ioannou ORCID logo ; Qian Wang ; Ian R Humphreys ; Jonathan Dodd ; Peter JM Openshaw ORCID logo ; Katrin D Mayer-Barber ; Dragana Jankovic ; Alan Sher ; Clare M Lloyd ORCID logo ; Nicole Baldwin ; Damien Chaussabel ; Venizelos Papayannopoulos ; Andreas Wack ORCID logo ; Jacques F Banchereau ORCID logo ; Virginia M Pascual ORCID logo ; Anne O'Garra ORCID logo ; (2019) Transcriptional profiling unveils type I and II interferon networks in blood and tissues across diseases. Nature Communications, 10 (1). 2887-. DOI: 10.1038/s41467-019-10601-6
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Understanding how immune challenges elicit different responses is critical for diagnosing and deciphering immune regulation. Using a modular strategy to interpret the complex transcriptional host response in mouse models of infection and inflammation, we show a breadth of immune responses in the lung. Lung immune signatures are dominated by either IFN-γ and IFN-inducible, IL-17-induced neutrophil- or allergy-associated gene expression. Type I IFN and IFN-γ-inducible, but not IL-17- or allergy-associated signatures, are preserved in the blood. While IL-17-associated genes identified in lung are detected in blood, the allergy signature is only detectable in blood CD4+ effector cells. Type I IFN-inducible genes are abrogated in the absence of IFN-γ signaling and decrease in the absence of IFNAR signaling, both independently contributing to the regulation of granulocyte responses and pathology during Toxoplasma gondii infection. Our framework provides an ideal tool for comparative analyses of transcriptional signatures contributing to protection or pathogenesis in disease.


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