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Seurat Objects

Tables of Cytokine Signatures

1 Cui, A. et al., Dictionary of immune responses to cytokines at single-cell resolution. Nature. https://doi.org/10.1038/s41586-023-06816-9 (2024)

Note: How to Load RDS Files in R

To load files in R, you can use the following code:

lig_seurat <- readRDS(paste0("path_to_your_file/"),celltype,".rds",sep = "")

Replace path_to_your_file.rds with the actual path to your RDS file.

Note: How to Load Multiple RDS Files in R in one Seurat Object

lig_seurat <- vector(mode="list", length=15)'
lig_seurat[[celltype]] <- readRDS(paste0("path_to_your_file/",celltype, ".rds", sep = ""))

Replace path_to_your_file.rds with the actual path to your RDS file. Replace celltype with the celltype of interest.

lig_seurat.Rda File

The file lig_seurat.Rda contains all cell types combined. This can be useful for comprehensive analysis across multiple cell types.

Additional code to see 'celltype', 'sample', 'rep', 'variable', 'value' columns"

raw_data = lig_seurat[[input$cellType]]
plot_df = cbind(t(as.matrix(raw_data@assays[["RNA"]]@data[input$InputGene,])), raw_data@meta.data)
plot_df_melt = melt(plot_df, id.vars = names(raw_data@meta.data))

Replace input$cellType with the celltype you are interested in. Replace input$InputGene with the gene of interest.