{"database":"bioimages","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":[null],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-BIAD877"],"repository":["bioimages"],"figure_sub":["Specimen","Image analysis","Study Component","organisation","Biosample","Associations","Image acquisition"],"pubmed_authors":["Karla J. Cowley","Rasan Mohammed Sathiqu","Kaylene J. Simpson","Christina L. Rootes","Henry G. Beetham","Aaron M. Brice","Cameron R. Stewart"],"additional_accession":[]},"is_claimable":false,"name":"Genome-wide analysis of host-encoded microRNAs modulating SARS-CoV-2 infection","description":"Viruses exploit cellular machinery to complete their replication cycle. Furthering our understanding of this process provides insight into the mechanism of virus replication and potential targets for antiviral therapeutics. Genome-wide CRISPR screens have identified cellular pathways important in the SARS-COV-2 infection process, including vesicular traffic, lipid homeostasis and PI3K signalling. Functional genomics-driven analysis of host-encoded microRNAs (miRNAs) impacting SARS-CoV-2 infection would provide further unbiased and discovery-driven insight into the host-pathogen interface. Here we present findings from genome-wide complementary miRNA mimic and inhibitor screens performed in a bio-safety level (BSL)-4 laboratory using a combination of high-throughput robotics, high-content imaging and novel data analysis pipelines. This dataset has identified both miRNA promoters and inhibitors of SARS-CoV-2 replication which may be used by researchers to further explore therapeutic targets against SARS-CoV-2 and the host factors influencing COVID pathogenesis. ","dates":{"release":"2025-07-18T00:00:00Z","modification":"2026-02-18T07:38:16.411Z","creation":"2023-09-05T03:25:43.058Z"},"accession":"S-BIAD877","cross_references":{}}