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Fig. 8 | BMC Complementary Medicine and Therapies

Fig. 8

From: Integrated network pharmacology and cellular assay reveal the biological mechanisms of Limonium sinense (Girard) Kuntze against Breast cancer

Fig. 8

RNA sequencing (RNA-seq) analysis results and function enrichment analysis of differentially expressed genes (DEGs) in MDA-MB-468 cells treated with LSE. A Volcano plot showing the up- and down-regulated genes in LSE-treated MDA-MB-468 cells. Log2FoldChange in x-axis and -log10(Padj) in y-axis. Red indicates up-regulation, cyan down-regulation and gray not significant. B Heatmap showing DEGs in LSE-treated MDA-MB-468 cells. DEGs were selected based on a Padj value less than 0.05 and a Log2FoldChange value greater than 2. C Scatter plot showing Gene Set Enrichment Analysis (GSEA) in MDA-MB-468 cells treated with LSE. The sizes of circles represent gene count, which is the number of genes in the gene set after filtering out those genes not in the expression dataset. The colours of circles represent the -log10 of the false discovery rate (FDR) values. D and E Scatter plots showing enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways from up- and down-regulated DEGs in MDA-MB-468 cells treated with LSE. The sizes of circles represent the percent of genes in set, and the colours of circles represent the indicates the log10(\(\frac{1}{Pvalue}\)). Functionally grouped networks showing the top 5 Biological Process clusters enriched by the up-regulated (F) and down-regulated (G) DEGs in MDA-MB-468 cells treated with LSE. Biological Process terms are represented as nodes, and the node size represents the term enrichment significance. The networks are linked to their biological function, where only the significant term (P ≤ 0.05) in the group is labelled

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