CITE-seq protein-mRNA single cell data from high and low vaccine responders (to reproduce Figs 4-6 and associated Extended Data Figs)

CITE-seq single cell data of baseline PBMC samples from 20 healthy individuals (10 high and 10 low responders) vaccinated with influenza pandemic H1N1 and seasonal vaccines in 2009.

The data set contains five RDS files with Seurat 2.3.4 objects used as the input data at different steps of the workflow:

The last object contains single cell data set clustered at multiple resolutions with PCA and tSNE results. Clusters annotated as doublets were removed, and the remaining clusters were labeled to reflect the cluster resolution and relationship between clusters at different resolutions (e.g., total B cells and switched B cells are linked since cells in the latter are largely contained within the former) This object can be used to reproduce all CITE-seq figures (Figs. 4-6, Extended Figs. 8-10) and tables in the paper.

Two additional text files required for the workflow are provided:

clustree_node_labels_withCellTypeLabels.txt - annotation of the clusters

B_CD40act_genes_JI2014&Blood2004.txt - list of genes in the CD40act signature.

To test the workflow download the files into the citeseq/data directory. The R scripts are available on https://github.com/kotliary/baseline.

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.