The NIH Figshare Archive
Browse
baseline.zip (623.59 kB)

R code to reproduce the data analysis

Download (623.59 kB)
software
posted on 2020-02-23, 05:19 authored by Yuri KotliarovYuri Kotliarov, Andrew Martins, Matthew P. Mulé, John TsangJohn Tsang
Reproducible workflows for the data analysis for 2020 Nature Medicine paper "Broad immune activation underlies shared set point signatures for vaccine responsiveness in healthy individuals and disease activity in patients with lupus"

Abstract
Responses to vaccination and to diseases vary widely across individuals, which may be partly due to baseline immune variations. Identifying such baseline predictors and their biological basis are of broad interest given their potential importance for cancer immunotherapy, disease outcomes, vaccination and infection responses. Here we uncover baseline blood transcriptional signatures predictive of antibody responses to both influenza and yellow fever vaccinations in healthy subjects. These same signatures evaluated at clinical quiescence are correlated with disease activity in systemic lupus erythematosus patients with plasmablast-associated flares. CITE-seq profiling of 82 surface proteins and transcriptomes of 53,201 single cells from healthy high and low influenza-vaccination responders revealed that our signatures reflect the extent of activation in a plasmacytoid dendritic cell—Type I IFN—T/B lymphocyte network. Our findings raise the prospect that modulating such immune baseline states may improve vaccine responsiveness and mitigate undesirable autoimmune disease activities.

This item is a part of the collection: https://doi.org/10.35092/yhjc.c.4753772

If you use our data (including CITE-seq data) or code for your work please cite the following publication:
Kotliarov, Y., Sparks, R. et al. Broad immune activation underlies shared set point signatures for vaccine responsiveness in healthy individuals and disease activity in patients with lupus. Nat. Med. DOI: https://doi.org/10.1038/s41591-020-0769-8 (2020)

General contact: John Tsang (john.tsang@nih.gov)
Questions about software/code: Yuri Kotliarov (yuri.kotliarov@nih.gov)

Funding

Funded by the Intramural Research Program of the National Institute of Allergy and Infectious Diseases and NIH Institutes supporting the CHI, National Institutes of Health, Bethesda, MD, USA

History

Select an IC:

  • AI - National Institute of Allergy and Infectious Diseases (NIAID)

Is this associated with a publication?

  • Yes

DOI(s) of associated publication(s):

I confirm there is no human identifiable information in this dataset.

  • Yes

Usage metrics

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC