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Data sets v.1.1 for Perspective: SARS-CoV-2 may regulate cellular responses through depletion of specific host miRNAs

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NIAID Data Ecosystem2026-03-11 收录
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https://zenodo.org/record/3966445
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The list of potential (bioinformatic predictions) interactions of human miRNA with 7 coronavirus genomes that include 3 pathogenic and 4 non-pathogenic coronaviruses. (Data Set 1). The HCoVs' 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%. Data set 2.  The potential targets of miRNA that could be bound to either the pathogenic, the non-pathogenic or both groups of HCoVs. Predicted base on miRDIP database (with only top 1% of the most probable targets considered), Data set 3.  Pre-miRNA sequences in the SARS-CoV-2 RNA sequence that could potentially enter the human RNAi pathway, base on miRNAFold webserver.
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2020-08-03
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