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

Type Dataset RAFAL BARTOSZEWSKI, Michal Dabrowski, Bogdan Jakiela, Sadis Matalon, Kevin S. Harrod, Marek Sanak, James F. Collawn (2020): Data sets v.1.1 for Perspective: SARS-CoV-2 may regulate cellular responses through depletion of specific host miRNAs. Zenodo. Dataset. https://zenodo.org/record/3966446

Authors: RAFAL BARTOSZEWSKI (Department of Biology and Pharmaceutical Botany, Medical University of Gdansk, Gdansk, Poland) ; Michal Dabrowski (Laboratory of Bioinformatics, Nencki Institute of Experimental Biology of the Polish Academy of Sciences, Warsaw, Poland) ; Bogdan Jakiela (Jagiellonian University Medical College, Dept of Medicine, Krakow, Poland) ; Sadis Matalon (Department of Anesthesiology, University of Alabama at Birmingham, Birmingham, AL) ; Kevin S. Harrod (Department of Anesthesiology, University of Alabama at Birmingham, Birmingham, AL) ; Marek Sanak (Jagiellonian University Medical College, Dept of Medicine, Krakow, Poland) ; James F. Collawn (Department of Cell, Developmental and Integrative Biology, University of Alabama at Birmingham, Birmingham, AL) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

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.

More information

• DOI: 10.5281/zenodo.3966446
• Language: en

Dates

• Publication date: 2020
• Issued: July 29, 2020

Rights

• https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

Relateditems