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Published March 30, 2021 | Version v1
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Responses to type I interferon in human peripheral blood mononuclear cells . Data files for https://github.com/sysbiosig/FRA

Authors/Creators

  • 1. Institute of Fundamental Technological Research Polish Academy of Sciences
  • 2. Medical Research Council Human Immunology Unit, Medical Research Council Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, UK

Description

To demonstrate the need and utility of (Fractional Response Analysis) FRA we studied type I interferon signaling in human peripheral blood mononuclear cells (PBMCs), a system involving multiple signaling effectors, cell-to-cell heterogeneity, and several cell types. Dose-responses to the type I interferon variant IFN-α2a were analyzed via whole-cell tyrosine phosphorylation levels of effector proteins STAT1, STAT3, STAT4, STAT5, and STAT6 (pSTATs) measured jointly in individual cells using mass cytometry (CyTOF). Cells were collected from a healthy donor, and measurements were performed 15 minutes after IFN-α2a stimulation, the time of maximal response.

Files in the RDS format that can be read in R. File data.fra.cytof.all_cell_types.rds consists responses of all cells from the experiment. File data.fra.cytof.list.rds consists a list of subsets of identified cells B cells, CD4+ T cells, CD8+ T cells, natural killer (NK) cells, and CD14+ monocytes.

More information can be found https://github.com/sysbiosig/FRA 

Notes

Acknowledgements KN, JW, KEZ and MK were supported by Foundation for Polish Science within the First TEAM (First TEAM/2017-3/21) program co-financed by the European Union under the European Regional Development Fund. RER and JR were funded by the UK Medical Research Council [MRC core funding of the MRC Human Immunology Unit]. Author contributions CyTOF study design and experimentation: RER, JR; data interpretation and analysis: KN, RER, JW, KEZ, JR, MK; implementation of the R-software package and of the user manual: KN

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