Fig. 1: Bioinformatics analysis of publicly available gene expression dataset of DKD patients. | Cell Death Discovery

Fig. 1: Bioinformatics analysis of publicly available gene expression dataset of DKD patients.

From: Simultaneous blockade of VEGF-B and IL-17A ameliorated diabetic kidney disease by reducing ectopic lipid deposition and alleviating inflammation response

Fig. 1: Bioinformatics analysis of publicly available gene expression dataset of DKD patients.The alternative text for this image may have been generated using AI.

A Distribution of samples of control and DKD patients before and after Rank-In integration. The source study IDs (in GSExxx format) were indicated by different colors. B Differential expressed genes (DEGs) analysis using the limma algorithm. log2 (fold change) of 1.5 and log10 (FDR-adjusted P values) of 0.01 were indicated with dash lines in the plot. C DEGs were represented in the heatmap by hierarchical clustering of both genes and samples according to their gene expression Z-scores. D Significantly enriched signaling pathways in three categories were visualized in the bubble chart. E Gene expression values of VEGF-B, VEGFR-1, FATP3 and IL-17RA between control and DKD samples were compared with Student’s t-test, n = 50-112. ****P < 0.0001.

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