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Fig. 1 | Journal of Inflammation

Fig. 1

From: Genome-wide identification and functional analysis of dysregulated alternative splicing profiles in sepsis

Fig. 1

A Bar plot that indicates the number of regulated AS (RAS) events that were detected using SUVA among healthy control (Hlty), uncomplicated infection (Inf1_P), sepsis (Seps_P), and septic shock (Shock_P) groups. B Splice junctions (SJs) that comprise RAS events, as detected using SUVA. The SJs were annotated based on the types of classical AS events. The numbers for each type of classical AS event are illustrated as bar plots. C Box plot indicating the number of SUVA RAS events that contain the SJs that involve two or more classical splicing events (designated as complex) or involve the same classical splicing event (designated as simple). D Scatter plot indicating the RAS events with different pSAR. RAS events in which the pSASR (reads as a proportion of the SUVA AS events) >= 50% are labeled. E Principal component analysis (PCA) of the RAS event splicing ratio where pSAR >= 50%. The samples were clustered as tumor or normal. Each group’s ellipse represents the confidence ellipse. F Heatmap of the splicing ratio across all RAS event samples where pSASR >= 50%. RAS events were clustered using K-means. G The five most highly enriched GO terms that were biological processes of RAS genes (RASG) in each cluster are shown as a heatmap. Colors indicate the scaled -log10 FDR for each term in the column direction. H GO analysis of RASG between sepsis and healthy samples. The top 10 most highly enriched GO terms that were biological processes are shown. I GO analysis of RASG between septic shock and sepsis samples with the top 10 most highly enriched GO terms that were biological processes are shown

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