Comparative analysis of differentially-expressed
immunoregulatory genes between COVID-19 and other immune-mediated
diseases
(A) Uniform Manifold Approximation and Projection
(UMAP) shows the distributions of cell types (Left) and diseases (Top right)
after the integration of datasets in multiple studies. MS: multiple sclerosis;
IIH: idiopathic intracranial hypertension. IIH patients were recruited as
controls in the multiple sclerosis study.
(B) Dynamic changes of immune cell types in
different immune-mediated diseases compared to healthy controls. Log2(ratio) was
calculated to show the levels of changes. ∗, p < 0.05, ∗∗, p < 0.01, ∗∗∗,
p < 0.001. Statistical models can be found in the STAR Methods. Leuk-UTI: sepsis patients that
enrolled into UTI with leukocytosis (blood WBC ≥12,000 per mm3) but no organ
dysfunction. Box features are same with Figure 2B.
(C) Normalized expression values of key genes
involved in immune signaling and responses are shown for cell types across
multiple diseases. Lowly expressed genes (maximal average expression level
across all cell types in the heatmap is less than 0.5 after
Log2CPM normalization) were removed. See also Figure S18 and Table S7.