Fig. 5: Application of SigXTalk to the lung datasets of a COVID-19 patient (COVID) and a healthy individual (HC).
From: Dissecting crosstalk induced by cell-cell communication using single-cell transcriptomic data
a, b The circle plot of signaling LR pairs that target fibroblasts in the COVID (a) and the HC (b) sample. The width of links represents strength of the LR pair. c The overall CCC strength of the receptors activated in the COVID and HC sample. d. The boxplot of the average number of crosstalk pathways regulating a target, regulated by CD44 (left, sample size: 244 for COVID, 153 for HC) and PTPRM (right, sample size: 280 for COVID, 154 for HC). e The boxplot for the specificity distribution of targets, regulated by CD44 (left, sample size: 4154 for COVID, 1140 for HC) and PTPRM (right, sample size: 4346 for COVID, 969 for HC). f The probability distribution of the fidelity measures of each target. g The cyclized bar chart of the top-5 most specific targets regulated by sample-specific signals. h The heatmap of the PRS values of each pathway mediated by the SSC STAT3 in the COVID sample. The upper and right boxplots annotate the specificity (Spe) of each target (sample size: 3 signals for each target) and the fidelity of each signal (sample size: 20 targets for each signal), respectively. i The alluvial diagram of the pathways regulating the target STAT3 in the COVID sample. The width of flow represents PRS value of the corresponding pathway. Boxplot elements: center line, median; box limits, upper and lower quartiles; whiskers, 1.5x interquartile range; points, outliers. Source data are provided as a Source Data file.
