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Abstract
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Calumenin is a chaperon protein of endoplasmic reticulum and the first identified inhibitor of gamma-carboxylation system. Gamma-carboxylation of vitamin K dependent (VKD) proteins plays a crucial role in their bioactivity. Therefore, knockdown of calumenin gene is of interest by various approaches. The aim of this study was in silico prediction of human miRNA(s) capable of targeting transcripts of human calumenin gene. To achieve this, we used miRNA databases; microRNA.org and miRDB, in which one can search the identified and predicted miRNAs and their target genes. These databases provide specific scores as a tool for making predictions. Generally, a mirSVR cutoff of <= -1.2 represents the top 5% of miRSVR scores and would recommended as a proper tool for making a good prediction. Our syudy predicted several miRNAs capable of targeting human calumenin by their related mirS VR scores. Among them, 5 miRNAs with the lowest SVR scores were multiple variants of hsa-miR-30 and alignment results demonstrated that these miRNAs could target the 3ʹUTR of human calumenin transcripts. In conclusion, we predicted and selected the hsa-miR-30 to knockdown calumenin.
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