Fig. 5: Integrated omics analysis by multiset PLS-ROG showing ILG-dependent unique molecule signatures. | npj Systems Biology and Applications

Fig. 5: Integrated omics analysis by multiset PLS-ROG showing ILG-dependent unique molecule signatures.

From: Unraveling anti-inflammatory metabolic signatures of Glycyrrhiza uralensis and isoliquiritigenin through multiomics

Fig. 5: Integrated omics analysis by multiset PLS-ROG showing ILG-dependent unique molecule signatures.The alt text for this image may have been generated using AI.

a The scatter plots using the first and second latent variables with multiset PLS-ROG algorithm. Multiomics data of 24 h after LPS stimulation were subjected to multiset PLS-ROG analysis. b Results of MetaboAnalyst joint-pathway enrichment analysis using the first latent variable axes. Bar graphs represent enriched pathways extracted based on P values and loadings. Metabolites and phosphoproteins that reflect group-specific characteristics were extracted and provided for enrichment analysis of MetaboAnalyst. P value was calculated by Fisher’s exact test, and degree centrality was used for the topology measure. The hit ratio means the proportion of features hit out of the total features, and the yellow colour scale indicates the impact of the pathway. c NAD metabolism pathway 24 h after LPS stimulation. Bar plots represent the mean values for each group, with individual data points overlaid as a scatter plot and error bars indicate the SEM. d Time-dependent changes in phosphorylation levels of SIRT1 and SIRT2. The phosphorylation sites are shown in the plot titles. e IL-6 production with or without SIRT1 and SIRT2 inhibitors following 18 h of LPS stimulation. RAW264.7 cells were incubated with EX527 (1 μM) or/and AGK-2 (10 μM) for 1 h with ILG (10 μM), followed by administration of LPS (n = 3 biologically independent samples).

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