Protein and RNA expression data for candidate markers identified in our analysis as being upregulated in PBMCs from individuals with severe COVID-19. RNA expression data at the earliest available time point were extracted from previous whole-blood RNA-seq analysis of a cohort of 107 individuals, including our donors,5and expressed in log2(Reads Per Kilobase of transcript per Million mapped reads [RPKM]). Significance of variation for CEACAM8, CD177, CD63, and CD89 in the complete WCL dataset was determined by one-way ANOVA with correction for multiple hypothesis testing using the method of Benjamini-Hochberg.40Significance of change between severity classes for each individual protein was then determined by ordinary one-way ANOVA with Tukey’s multiple comparisonspost hoctest on log2-transformed data:*p < 0.05,**p < 0.005,***p < 0.0005,****p < 0.0001. Data are presented as boxplots with error bars indicating the minimum and maximum values.
