Figure 1 | Scientific Reports

Figure 1

From: Biostatistics mining associated method identifies AKR1B10 enhancing hepatocellular carcinoma cell growth and degenerated by miR-383-5p

Figure 1

DEGs identified from NCBI GEO datasets (A) Venn chart of the over-expressing genes in GSE14520, GSE14323 and GSE6764 liver cancer datasets, which overlapped according to the analysis of FunRich software. Four DEGs extremely over-expressed in the three datasets were selected, including AKR1B10, GABBR1, COL15A1, AKR1B100. (B) Venn chart of the decreasing genes in three live cancer datasets. Eleven DEGs extremely decreased were selected, including FCN3, FCN2, MT1M, ADRA1A, HAMP, LPA, IL1RAP, APOF, YP2C19, KCNN2 and SLCO1B3. (C) The identified overlapped 15 DEGs from microarray were further tested in TCGA mRNA expression from RNAseq data by Welch’s t-test with P < 0.05 as the cutoff for tumor and normal samples comparison. (D) Heatmap generated through TCGA database exploration and data mining. Expressions of the 15 DEGs above were presented by hot spots with gradient from red as high expression to blue as low expression.

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