Skip to main content
Fig. 2 | Journal of Translational Medicine

Fig. 2

From: MicroRNA-143 acts as a tumor suppressor through Musashi-2/DLL1/Notch1 and Musashi-2/Snail1/MMPs axes in acute myeloid leukemia

Fig. 2

MiR-143 directly binds to MSI2 (A) Five bioinformatics prediction softwares (miRWalk, miRDB, TarBase, TargetScan, and microT-CDS) were used to select three target genes (MSI2, VASH1 and GATM) that could be interacted with hsa-miR-143-3p. (B) Schematic illustration showed complementation in the regions of the 3′UTR of MSI2 mRNA (#1: positions 18-24, #2:173-179 and #3:180-187) to the mature miR-143. Colored (red and blue) sequences of three sites indicated the predicted binding sites for miR-143. The nucleotide sequence of the mutated site was shown in green. (C) Luciferase activities were determined in KG-1α cells co-transfected with miR-143 or miR-NC mimic and wild-type or mutant-type pMIR-MSI2 vectors to verify the predictive miR-143 binding sites in the 3′UTR of MSI2. (D) MSI2 expression between normal and tumor samples in log2(x + 0.001) transform from the UCSC database (TCGA, TARGET, and GTEx) was analyzed via Unpaired Wilcoxon Rank Sum and Signed Rank Tests. (E) Relationship between MSI2 expression and prognosis in each tumor was analyzed by Cox proportional hazards regression model established by coxph function of the R package survival via Log-rank test. (F) Volcano map of DEGs in GSE22775 (upregulated genes were marked in red and downregulated genes were marked in green). (G) GO pathway analysis (biological processes) was performed on 621 DEGs

Back to article page