Fig. 6: Identification of circRNA-miRNA-mRNA regulatory networks. | Cell Death Discovery

Fig. 6: Identification of circRNA-miRNA-mRNA regulatory networks.

From: Circular RNA profiling identifies circ_0001522, circ_0001278, and circ_0001801 as predictors of unfavorable prognosis and drivers of triple-negative breast cancer hallmarks

Fig. 6

A Schema depicting the approach used to identify circRNA-miRNA-mRNA regulatory networks for the three circRNA candidates. B Bar chart showing the number of upregulated (red) and downregulated (blue) mRNAs following depletion of circ_0001522, circ_0001278, and circ_0001801 compared to siCTRL cells. C Volcano plots showing upregulated and downregulated miRNAs in cells depleted of the indicated circRNAs. D Alluvial plot depicting interactions between circ_0001522, circ_0001278, and circ_0001801 and miRNAs (miR-4458, miR-145-5p, miR-760, miR-7977, miR-579-3p) and their gene targets (ADGRG1, RHOB, UHRF1, ROBO4, CCND1, GXYLT1, EOGT, TMPPE, FAM222B, MICALL1, NPAS2, SERTAD4, TXN2, ARHGAP1, EIF4EBP2, MAVS, E2F4, HBEGF, PRIM1, TGFBR2, COL4A1, EHHADH, ERO1A, ICMT, LIMD2, LIPT2, TMC8, ZCCHC9, RORB, and LBR).

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