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Biomedical and Environmental Sciences ; (12): 14-21, 2009.
Article in English | WPRIM | ID: wpr-296010

ABSTRACT

<p><b>OBJECTIVE</b>To screen miRNA profiles of malignantly transformed human bronchial epithelial cells, 16HBE-T, induced by anti-benzo[a]pyrene-trans-7,8-diol-9,10-epoxide (anti-BPDE), and to analyze putative miR-10a targets in 16HBE-T.</p><p><b>METHODS</b>A novel microarray platform was employed to screen miRNA profiles of 16HBE-T cells transformed by anti-BPDE. Microarray data for miR-10a and miR-320 were validated using quantitative real time polymerase chain reaction (QRT-PCR). The expression of a putative target for miR-10a, HOXA1, was analyzed by reverse transcription polymerase chain reaction (RT-PCR) and QRT-PCR.</p><p><b>RESULTS</b>In comparison with the vehicle-treated cells (16HBE-N), 16HBE-T exhibited differential expression of 54 miRNAs, in which, 45 were over-expressed and 9 were down-regulated. The five most highly expressed miRNAs were miR-494, miR-320, miR-498, miR-129, and miR-106a. The lowest expressed miRNAs were miR-10a, miR-493-5p, and miR-363*. Three members of miR-17-92 cluster, miR-17-5p, miR-20a, and miR-92, showed significantly higher abundance in 16BHE-T as miR-21, miR-141, miR-27a, miR-27b, miR-16 and miRNAs of the let-7 family. The putative target for miR-10a, HOXA1 mRNA was up-regulated 3-9-fold in 16HBE-T, as compared with 16HBE-N.</p><p><b>CONCLUSION</b>The findings of the study provide information on differentially expressed miRNA in malignant 16HBE-T, and also suggest a potential role of these miRNAs in cell transformation induced by anti-BPDE. HOXA1 is similarly up-regulated, suggesting that miR-10a is associated with the process of HOXA 1-mediated transformation.</p>


Subject(s)
Humans , 7,8-Dihydro-7,8-dihydroxybenzo(a)pyrene 9,10-oxide , Toxicity , Carcinogens , Toxicity , Cell Transformation, Neoplastic , Genetics , Metabolism , Cells, Cultured , Gene Expression Profiling , Homeodomain Proteins , Genetics , Metabolism , MicroRNAs , Metabolism , Oligonucleotide Array Sequence Analysis , RNA, Messenger , Metabolism , Reverse Transcriptase Polymerase Chain Reaction , Transcription Factors , Genetics , Metabolism
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