Single-cell analysis of signalling and transcriptional responses to type I interferons
Single-cell analysis of signalling and transcriptional responses to type I interferons
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I 型干扰素信号传导和转录反应的单细胞分析
DOI:
10.1101/2023.07.03.547491
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发表时间:
2023
期刊:
影响因子:
--
通讯作者:
Rigby R
中科院分区:
文献类型:
--
作者:
Rigby R
Type I interferons (IFNs) play crucial roles in antiviral defence, autoinflammation and cancer immunity. The human genome encodes 17 different type I IFNs that all signal through the same receptor. Non-redundant functions have been reported for some type I IFNs. However, whether different type I IFNs induce different responses remains largely unknown. We stimulated human peripheral blood mononuclear cells (PBMCs) with recombinant type I IFNs to address this question in multiple types of primary cells. We analysed signalling responses by mass cytometry and changes in gene expression by bulk and single-cell RNA sequencing. We found cell-type specific changes in the phosphorylation of STAT transcription factors and in the gene sets induced and repressed upon type I IFN exposure. We further report that the magnitude of these responses varied between different type I IFNs, whilst qualitatively different responses to type I IFN subtypes were not apparent. Taken together, we provide a rich resource mapping signalling responses and IFN-regulated genes in immune cells.HighlightsMass cytometry and scRNAseq analysis of human PBMCs stimulated with type I IFNsCell type-specific phosphorylation of STAT proteins and induction of ISGsDifferent type I IFNs induce qualitatively similar responses that vary in magnitudeIdentification of ten core ISGs, up-regulated by all cell types in response to all type I IFNsIn briefRigbyet al.provide a single-cell map of signalling and transcriptomic responses to type I IFNs inex vivostimulated human PBMCs. Different cell types responded in unique ways but differences between different type I IFNs were only quantitative. These rich datasets are available via an easy-to-use interactive interface (https://rehwinkellab.shinyapps.io/ifnresource/).Graphical abstract
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影响因子:
9.8
作者:
Shaw AE;Hughes J;Gu Q;Behdenna A;Singer JB;Dennis T;Orton RJ;Varela M;Gifford RJ;Wilson SJ;Palmarini M
通讯作者:
Palmarini M
DOI:
--
发表时间:
1984
影响因子:
11.1
作者:
J. Ortaldo;R. Herberman;C. Harvey;P. Osheroff;Y. C. Pan;B. Kelder;S. Pestka
通讯作者:
S. Pestka
影响因子:
4.4
作者:
Kerkmann, M;Rothenfusser, S;Hartmann, G
通讯作者:
Hartmann, G
影响因子:
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作者:
Y. Nagano;Y. Kojima
通讯作者:
Y. Kojima
影响因子:
5.4
作者:
Lavender, Kerry J.;Gibbert, Kathrin;Dittmer, Ulf
通讯作者:
Dittmer, Ulf