Fig. 2: Burns’ core gene net was conserved in both membership and clinical-trait correlation in COVID-19. | Cell Death Discovery

Fig. 2: Burns’ core gene net was conserved in both membership and clinical-trait correlation in COVID-19.

From: A burns and COVID-19 shared stress responding gene network deciphers CD1C-CD141- DCs as the key cellular components in septic prognosis

Fig. 2

A Pearson correlation heatmap of skyblue PPI-hub genes in burns (GSE19743) and COVID-19 (GSE157103) datasets. The left-bottom and right-top represent burns and COVID-19 datasets and marked by blue and green color, respectively. B Barplot of skyblue PPI-hub gene pairs differential correlation on burns and COVID-19 datasets based on DGCA analysis. Each gene pair is classed as positive (+), negative (−) and non-significant (0) and grouped by combination of GSE19743 and GSE157103 datasets. C Boxplot of ssGSEA sore of skyblue PPI-hub genes across disease conditions in COVID-19 GSE157103 datasets. D Barplot of Spearman correlation index of skyblue PPI-hub ssGSEA score with COVID-19 patients clinical traits. The bar color represents the Spearman correlation p values and p ≥ 0.05 was colored by grey. E DEG log2FoldChange heatmap of skyblue PPI-hub genes in GSE157103 dataset. The color indicated the log2FoldChange in each disease status comparison. F Spearman correlation coefficient heatmap of SRC genes in GSE157103 dataset. *P < 0.05, **P < 0.01, ***P < 0.001.

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