Bioinformatic analysis of the hsa-miR-1908 upstream promoter region
Kuang Qian
Abstract
Kuang Qian
Abstract
Objective To predict the functions of hsa-miR-1908 promoter using various bioinformatic tools,and to provide clues for further study on transcriptional regulation mechanism of miR-1908 in human adipocytes.Methods The promoter sequence of miR-1908 was obtained from Ensemble,and then the CpG islands and transcription factor binding sites were predicted by a variety of online bioinformatic tools.Results The length of the miR-1908 promoter sequence was 1 458 bp.The CpG islands,which inhibited the transcription of miR-1908,were located at(438-756) bp,(836-937) bp and(979-1374) bp.Meanwhile,15 transcription factor binding sites were found in the promoter sequence of miR-1908.Conclusions miRNA upstream promoter related bioinformatics can not only improve the efficiency of microRNA promoter research,but also provide further important information on transcriptional regulation of miR-1908.
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Objective To predict the functions of hsa-miR-1908 promoter using various bioinformatic tools,and to provide clues for further study on transcriptional regulation mechanism of miR-1908 in human adipocytes.Methods The promoter sequence of miR-1908 was obtained from Ensemble,and then the CpG islands and transcription factor binding sites were predicted by a variety of online bioinformatic tools.Results The length of the miR-1908 promoter sequence was 1 458 bp.The CpG islands,which inhibited the transcription of miR-1908,were located at(438-756) bp,(836-937) bp and(979-1374) bp.Meanwhile,15 transcription factor binding sites were found in the promoter sequence of miR-1908.Conclusions miRNA upstream promoter related bioinformatics can not only improve the efficiency of microRNA promoter research,but also provide further important information on transcriptional regulation of miR-1908.
Key concepts: Promoter, CpG site, Transcription factor, microRNA, Transcription (linguistics), Sequence (biology), Computational biology, DNA binding site