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. 2022 Jan 24;3(2):100522. doi: 10.1016/j.xcrm.2022.100522

Figure 5.

Figure 5

Evaluation of tissue identity loss and heterogeneity from infection

(A) Principal-component analysis (PCA) to see sample- and disease-clustering. Colors denote disease conditions (64 normal ROIs, 86 and 97 SARS-CoV-2 high- and low-viral-load ROIs), while shapes show the tissue types (alveolar, large airway, and vascular regions).

(B) Similarity score distribution when compared with a tissue-specific (278 alveolar, 45 large airway, and 34 vascular ROIs) healthy reference gene profile (ns, non-significant, ∗p ≤ 0.05, ∗∗p ≤ 0.01, ∗∗∗p ≤ 0.001, and ∗∗∗∗p ≤ 0.0001).

(C) Genes identifying disease- and tissue-specific conditions.

(D) Cell-type proportions in normal versus COVID-19. The median and quartiles are noted by the box plot inside. p value two-tailed t tests were done to compare the means (ns, ∗p ≤ 0.05, ∗∗p ≤ 0.01, ∗∗∗p ≤ 0.001, and ∗∗∗∗p ≤ 0.0001).

(E) Enrichment of cell type- and COVID-19-specific gene signatures from 11 patients across 247 ROIs.