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Biochem Biophys Res Commun ; 484(3): 648-655, 2017 03 11.
Article in English | MEDLINE | ID: mdl-28153721

ABSTRACT

MicroRNAs (miRNAs) are known to mediate post-transcriptional gene silencing in the cytoplasm and recent evidence indicates that may also possess nuclear roles in regulating gene expression. A previous study showed that miR-138 is involved in the multidrug resistance of leukemia cells through down-regulation of the drug efflux pump P-glycoprotein (P-gp), the protein encoded by the human multidrug-resistant ABCB1/MDR1 gene. However, the transcriptional regulatory mechanisms responsible remain to be elucidated. To deepen the description of the mechanism of transcriptional gene silencing on the MDR1 promoter, we initially performed a bioinformatics search for potential miR-138 binding sites in the MDR1 gene promoter sequence. Interestingly, we did not find miR-138 binding sites in this region, suggesting an indirect regulation. From six representative transcriptional factors involved in MDR1 gene regulation, an in silico analysis revealed that NF-κB/p65 has a specific binding site for miR-138. The results of luciferase reporter assay, western blot and flow cytometry shown here suggest that miR-138 might modulate the human MDR1 expression by inhibiting NF-κB/p65 as an indirect mechanism of MDR1 regulation. Furthermore, employing the human macrophage-like cell line U937 we observed comparable results with NF-κB/p65 down-regulation and we also observed a significant reduction in the IL-6 and TNF-α mRNA, as well as in their secreted pro-inflammatory cytokines following miR-138 expression, suggesting that canonical NF-κB target genes might also be potential targets for miR-138 in leukemia cells.


Subject(s)
Carrier Proteins/genetics , MicroRNAs/genetics , NF-kappa B/genetics , Neoplasm Proteins/genetics , Promoter Regions, Genetic/genetics , RNA Interference/physiology , ATP Binding Cassette Transporter, Subfamily B/genetics , Cells, Cultured , Computer Simulation , Humans , Intracellular Signaling Peptides and Proteins , Models, Genetic
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