Figure 1
Figure 1. KSHV regulates expression of the miR-30 family, which is predicted to target DLL4. (A) Heatmap representing relative changes in expression of hsa-miR-30 family members in LECs after KSHV infection. Red and yellow denote low and high expression, respectively. Four replicates of LECs and KLECs are shown. Two to 3 probes are shown for each member of the miR-30 family. Probes for hsa-miR-30b and hsa-miR-30c showed significant changes in expression (**Q < .01; ***Q < .001). Original GEM data from Lagos et al.20 (B) Down-regulation of miR-30b and miR-30c in KLECs, confirmed by qRT-PCR (means + SEM, n = 3). Expression is relative to LECs. Differences between LECs and KLECs were significant (**P < .01). (C) Complementarity between miR-30 family members and the DLL4 3′UTR. Black lines indicate canonical Watson and Crick base-pairing, gray lines indicate G:U wobbles. The predicted target site within the DLL4 3′UTR, positions 59 to 66, is shown in red; miR-30 seed region is shown in green. (D) Heatmap table displaying the correlation coefficient R between expression of DLL4 and each member of the miR-30 family in the indicated tumor types. GEM and RNAseq data were obtained from The Cancer Genome Atlas (www.cancergenome.nih.gov) data portal (www.tcga-data.nci.nih.gov), as described in “Methods.” Because of the large difference in the number of replicates for each tumor type, the significance of R was calculated for each mir-30 versus DLL4 combination. The values and fill-in color indicate the degree of negative correlation. Nonsignificant correlations are grayed out; significant correlations are marked with an asterisk (*P < .05; **P < .01). Tumor types included are breast invasive carcinoma (BRCA), colon adenocarcinoma (COAD), glioblastoma multiforme (GBM), renal clear cell carcinoma (RCC), lung adenocarcinoma (LUAD), rectum adenocarcinoma (READ), and ovarian serous cystadenocarcinoma (OV).

KSHV regulates expression of the miR-30 family, which is predicted to target DLL4. (A) Heatmap representing relative changes in expression of hsa-miR-30 family members in LECs after KSHV infection. Red and yellow denote low and high expression, respectively. Four replicates of LECs and KLECs are shown. Two to 3 probes are shown for each member of the miR-30 family. Probes for hsa-miR-30b and hsa-miR-30c showed significant changes in expression (**Q < .01; ***Q < .001). Original GEM data from Lagos et al.20  (B) Down-regulation of miR-30b and miR-30c in KLECs, confirmed by qRT-PCR (means + SEM, n = 3). Expression is relative to LECs. Differences between LECs and KLECs were significant (**P < .01). (C) Complementarity between miR-30 family members and the DLL4 3′UTR. Black lines indicate canonical Watson and Crick base-pairing, gray lines indicate G:U wobbles. The predicted target site within the DLL4 3′UTR, positions 59 to 66, is shown in red; miR-30 seed region is shown in green. (D) Heatmap table displaying the correlation coefficient R between expression of DLL4 and each member of the miR-30 family in the indicated tumor types. GEM and RNAseq data were obtained from The Cancer Genome Atlas (www.cancergenome.nih.gov) data portal (www.tcga-data.nci.nih.gov), as described in “Methods.” Because of the large difference in the number of replicates for each tumor type, the significance of R was calculated for each mir-30 versus DLL4 combination. The values and fill-in color indicate the degree of negative correlation. Nonsignificant correlations are grayed out; significant correlations are marked with an asterisk (*P < .05; **P < .01). Tumor types included are breast invasive carcinoma (BRCA), colon adenocarcinoma (COAD), glioblastoma multiforme (GBM), renal clear cell carcinoma (RCC), lung adenocarcinoma (LUAD), rectum adenocarcinoma (READ), and ovarian serous cystadenocarcinoma (OV).

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