PMC:7354481 / 22586-24247 JSONTXT

{"target":"https://pubannotation.org/docs/sourcedb/PMC/sourceid/7354481","sourcedb":"PMC","sourceid":"7354481","source_url":"https://www.ncbi.nlm.nih.gov/pmc/7354481","text":"In the current study, we identified potentially similar miR sequences of human miRs and SARS-Cov-2 strains from different geographical regions. For this purpose, we selected different genome sequence studies released recently in PubMed® and GISAID databases, which included genome results for SARS-CoV-2 strains from four different geographical regions. We first aligned all the sequences with the mature hsa-miR database presented in miRBase. During this study, we made a cluster according to the co-existence of significantly aligned hsa-miRs with the SARS-CoV-2 genome and their biological significance in human cells. miRPath version 3 was used for the determination of the selected miRs’ potential biological effects via searching target gene-related results found in the KEGG and GO pathways. The mutational alterations were also analyzed for different miRs, which showed significant alignment scores with SARS-CoV-2 genomes from other geographical regions. Concomitantly, we also analyzed and compared Bioproject PRJNA615032 trancriptome data obtained from normal vs SARS-CoV-2-infected lung tissue biopsy samples. Data was submitted by tenOever Lab, Microbiology, Icahn School of Medicine at Mount Sinai on 24-Mar-2020. In addition, the gene expression differences between A549 and NHEB cell line data and the gene expression differences between normal and infected lung tissue samples were analyzed in the REACTOME database (https://reactome.org/) to propose the potentially affected signaling axis members. The clinical outcome of severe condition patients is discussed below, for selected miRs and their potential biological importance in host 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