Supplementary Figure 12: Correlation between bulk RNA-seq expression and proportion of non-zero expressing cells on scRNA-seq cluster markers. | Nature Immunology

Supplementary Figure 12: Correlation between bulk RNA-seq expression and proportion of non-zero expressing cells on scRNA-seq cluster markers.

From: Defining inflammatory cell states in rheumatoid arthritis joint synovial tissues by integrating single-cell transcriptomics and mass cytometry

Supplementary Figure 12

The expression level of a gene in a bulk RNA-seq sample can indicate the abundance of cells expressing that gene in the bulk sample. In other words, it is possible to infer the abundance of some cellular subpopulations from bulk RNA-seq data. We depict two marker genes per scRNA-seq cluster and show the bulk RNA-seq expression (x axis) is correlated with the percent of non-zero expressing cells over the total number of cells (y axis) for the overlapped a, fibroblast samples; b, monocyte samples; c, B cell samples; and d, T cell samples. Pearson’s R squared and P value are given using the limma R package for each correlation scenario. The gray zone represents 95% confidence level interval for predictions from a linear model.

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