Extended Data Fig. 4: Multimodal single cell analysis of iron-related gene signatures. | Nature Immunology

Extended Data Fig. 4: Multimodal single cell analysis of iron-related gene signatures.

From: Iron dysregulation and inflammatory stress erythropoiesis associates with long-term outcome of COVID-19

Extended Data Fig. 4

a, Heatmap of dsb normalized surface protein expression across cell subsets. Values are scaled for each protein across cell clusters. b, Distribution of cell surface protein expression in myeloid-derived cell subsets with highest expression of iron-related signatures, and reticulocytes. c, Data from Schulte-Schrepping et al. as validation of data shown in Fig. 4b,c. (top) Average expression of iron-homeostasis genes aggregated at the sample level within each cell cluster (COVID-19 patients and HC are combined). Cell types with the highest 80th percentile of average signature expression relative to other cell types, across individuals, are shown, with all other clusters merged into the population “other”. (bottom) Cell frequency of myeloid populations as a fraction of the total sequenced cells per individual, compared between COVID-19 patients (orange) and HC (black). The right margin shows -log10 of the p-value comparing COVID-19 and HC with a two-sided Wilcoxon rank test. Boxplots show minimum, 25th percentile, median, 75th percentile and maximum, and outliers beyond 1.5 times the interquartile range.

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