Fig 1: Gene expression microarray analyses of the target genes of PLK1 target genes in bladder cancer cells. The A heatmap (a) and volcano map (b) showed showing the differentially expression expressed genes analyzed by the Affymetrix HTA 2.0 Array in control siRNA group and PLK1 siRNA groups. C: control siRNA, P: PLK1 siRNA. The A summary of the top 20 changaltered biological processes or pathways after knockdown of PLK1 knockdown in T24 cells by using GO biological process analysis (c) and KEGG pathway analysis (d). Network analysis of the pathways after knockdown of PLK1 knockdown in T24 cells (e)
Fig 2: Analysis of the cCorrelation analysis between the five key genes and PLK1 in bladder cancer tissues. The protein expression (a, b) levels of the five genes (BUB1B, CCNB1, CDC25A, FBXO5, NDC80) were examined by western blotting. Spearman correlation analysis was applied to compare the relative protein expression levels of PLK1 and the single genes in normal bladder tissues (c, e, g, i, k) and bladder cancer tissues (d, f, h, j, l)
Fig 3: Validation ofe the five representative key genes regulated by PLK1 in bladder cancer cells. The mRNA (a) and protein expression (b, c) levels of five genes (BUB1B, CCNB1, CDC25A, FBXO5, NDC80) were examined by qPCR and western blotting. SV: SV-HUC-1, T24: T24. The mRNA (d) and protein expression (e, f) levels of the five genes were determined in T24 cells with PLK1 knockdown by qPCR and western blotting. The Cell proliferations were abilities were examined by the MTT assay (g) in the five genes specific siRNA groups. The transwell assay was used to examine the cell migration (h) and (i) invasion in the five genes gene-specific siRNA groups
Fig 4: Key downstream genes were identified in the PLK1 signaling pathway. Protein-protein interaction analysis was used to screen the important candidate genes regulated by PLK1 in bladder cancer cells by using STRING software (http://string-db.org). Analysis of the interaction between PLK1 and the differentially expressed genes about associated with cell proliferation signaling pathways by textmining (a), Experiments experiments (b), Database database (c) and, Coco-expression (d) and multiple methods (e). Analysis of the interaction between PLK1 and differentially expressed genes about associated with cell invasion and migration signaling pathways by textmining (f), Experiments experiments (g), Database database (h) and, Coco-expression (i) and multiple methods (j)
Fig 5: PLK1 knock-down hinders cell proliferation, invasion and migration. The mRNA (a) and protein expression (b, c) levels of PLK1 were examined by qPCR and western blotting. S: SV-HUC-1, R: RT4, B: BIU-87, 5: 5637, T: T24. The efficiency of PLK1 knockdown by siRNA was determined by western blotting (d, e). The cell proliferation was examined by the MTT assay (f) and BrdU assays (g) in control siRNA groups and the PLK1 siRNA group. The transwell assay was used to examine the cell migration (h) and (i) invasion in control siRNA group and PLK1 siRNA groups
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