Data sets for Perspective: SARS-CoV-2's potential mechanism of regulating cellular responses through depletion of specific host miRNAs

<p>Using a bioinformatic analysis of human miRNA potential interactions with the SARS-CoV-2&rsquo;s genome, we examined the potential miRNA target sites in 7 coronavirus genomes that include SARS-CoV-2, MERS-CoV, SARS-CoV, and 4 non-pathogenic coronaviruses. (<strong>Data Set 1</strong>).</p> <p><em>Our approach was to examine and compare 3 pathogenic and 4 non-pathogenic strains of HCoVs. The HCoVs&#39; RNA genomes of pathogenic strains were SARS-CoV-2 (NC_045512.2), SARS-CoV (NC_004718.3), MERS-CoV (NC_019843.3). The non-pathogenic strains were HCoV-OC43 (KU131570.1), HCoV-229E (NC_002645.1), HCoV-HKU1 (KF686346.1), and HCoV-NL63 (NC_005831.2). These coronaviruses were tested against the set of 896 confident mature human miRNA sequences that were obtained from the miRBbase v2.21 using the RNA22 v2 microRNA target discovery tool web-server. In order to reduce the false discovery rate of the MTS predictions, the most strict parameters were applied to the default computation workflow using a specificity of 92% versus a sensitivity of 22%.</em></p> <p><em>In <strong>Data set 2</strong>, using the miRDIP database with only top 1% of the most probable targets considered, we analyzed the potential targets of miRNA that could be bound to either the pathogenic, the non-pathogenic or both groups of HCoVs. </em></p> <p>In <strong>Data set 3</strong>, using miRNAFold webserver&nbsp; we identified 10 pre-miRNA sequences in the <em>SARS-CoV-2</em> RNA sequence that could potentially enter the human RNAi pathway.</p> <p>The graphical summary of our working hypothesis is provided in the<strong> graphical abstract</strong>.</p> <p>&nbsp;</p> <p>&nbsp;</p>