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Rahmadi Agus,Fasyah Ismaily,Sudigyo Digdo,Budiarto Arif,Mahesworo Bharuno,Hidayat Alam Ahmad,Pardamean Bens 한국유전학회 2021 Genes & Genomics Vol.43 No.9
Background Several reports on the discovery of SARS-CoV-2 mutations and variations in Indonesia COVID-19 cases led to genomic dysregulation with the frst pandemic cases in Wuhan, China. MicroRNA (miRNA) plays an important role in this genetic regulation and contributes to the enhancement of viral RNA binding through the host mRNA. Objective This research is aimed to detect miRNA targets of SARS-CoV-2 and examines their role in Indonesia cases against Wuhan cases. Methods SARS-CoV-2 sequences were obtained from GISAID (https://www.gisaid.org/), NCBI (https://ncbi.nlm.nih.gov), and National Genomics Data Center (https://bigd.big.ac.cn/gwh/) databases. MiRDB (https://github.com/gbnegrini/mirdbcustom-target-search) was used to annotate and predict target human mature miRNAs. For statistical analysis, we utilized a series chi-square test to obtain signifcant miRNA. DIANA-miRPath v3.0 (http://www.microrna.gr/miRPathv3) analyzed the Gene Ontology of mature miRNAs. Result The statistical results detected fve signifcant miRNAs. Two miRNAs: hsa-miR-4778-5p and hsa-miR-4531 were consistently found in the majority of Wuhan samples, while they were only found in less than half of the Indonesia samples. The other three miRNA, hsa-miR-6844, hsa-miR-627-5p, and hsa-miR-3674, were discovered in most samples in both groups but with a signifcant diference ratio. Among these fve signifcant miRNA targets, hsa-miR-6844 is the only miRNA that has an association with the ORF1ab gene of SARS-CoV-2. Conclusion The Gene Ontology analysis of fve signifcant miRNA targets indicates a signifcant role in infammation and the immune system. The specifc detection of host miRNAs in this study shows that there are diferences in the characteristics of SARS-CoV-2 between Indonesia and Wuhan.