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Fig. 4 | BMC Genomics

Fig. 4

From: mirTarRnaSeq: An R/Bioconductor Statistical Package for miRNA-mRNA Target Identification and Interaction Analysis

Fig. 4

Predicted miRNA-mRNA correlations following SARS-CoV-2 infection of lung epithelial cells using mirTarRnaSeq. A. Distribution plot of miRNA and MRNA log fold changes (LFC) of SARS-CoV-2 infected across the three time points versus uninfected control cells. The red dots represent the correlations which are significant between the miRNAs and mRNA predicted by mirTarRnaSeq and miRanda (p < 0.05). B. Box plot of mean fold changes across three time SARS-CoV-2 infected versus uninfected control cells for all genes belonging to a specific pathway characterized by Reactome (p < 0.05). C. Network of targets and enriched pathways predicted to be correlated with miRNA expression predicted by both miRanda and mirTarRnaSeq significantly and Reactome respectively. Each node represents a gene, subpathway and pathway respectively, the edge distance is estimated by Barnes Hut simulation for gene-pathway connection. The color represents the pathways the targets belong to, predicted by Reactome (P mirTarRnaSeq and Reactome < 0.05) (Supplemetal_File 1). D. Network plot of all the targets of miRNAs involved in “Immune System”. Each node represents a gene, subpathway and pathway respectively, the edge distance is estimated by Barnes Hut simulation for gene-pathway connection. The color represents the pathway the targets belong to predicted by Reactome (Cytokine Signaling, innate and adaptive immunity)(Supplemetal_File 2)

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