ArticleComputers in biology and medicine2021
Decrypting the role of predicted SARS-CoV-2 miRNAs in COVID-19 pathogenesis: A bioinformatics approach.
Article in Computers in biology and medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 20 citations in OpenAlex.
- Bioinformatics-driven genome-wide identification of viral miRNAs in high spillover bat coronaviruses and their target genes in human.Archives of microbiology · 2026Article
- The mysterious anelloviruses: investigating its role in human diseases.BMC microbiology · 2024Review
- Deep learning-based network pharmacology for exploring the mechanism of licorice for the treatment of COVID-19.Scientific reports · 2023Article
- MicroRNAs and cytokines as potential predictive biomarkers for COVID-19 disease progression.Scientific reports · 2023Article
- Nucleolin mediates SARS-CoV-2 replication and viral-induced apoptosis of host cells.Antiviral research · 2023Article
- Article
- Non-coding RNAs: the silent regulators of health and diseases.Molecular biology reports · 2022Article
- microRNAs and Inflammatory Immune Response in SARS-CoV-2 Infection: A Narrative Review.Life (Basel, Switzerland) · 2022Review
- The role of microRNAs in solving COVID-19 puzzle from infection to therapeutics: A mini-review.Virus research · 2022Review
- p53/NF-kB Balance in SARS-CoV-2 Infection: From OMICs, Genomics and Pharmacogenomics Insights to Tailored Therapeutic Perspectives (COVIDomics).Frontiers in pharmacology · 2022Review
- Bioinformatics and systems-biology analysis to determine the effects of Coronavirus disease 2019 on patients with allergic asthma.Frontiers in immunology · 2022Article
- MILNP: Plant lncRNA-miRNA Interaction Prediction Based on Improved Linear Neighborhood Similarity and Label Propagation.Frontiers in plant science · 2022Article
- Therapeutic prospects of ceRNAs in COVID-19.Frontiers in cellular and infection microbiology · 2022Review
- Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), is a highly transmissible virus causing the ongoing global pandemic, COVID-19. Evidence suggests that viral and host microRNAs play pivotal roles in progression of such infections. The decisive impact of viral miRNAs and their putative targets in modulating the transcriptomic profile of its host, however remains unexplored. We hypothesized that the SARS-CoV-2 derived miRNAs can potentially play a contributory role in its pathogenicity and aid in its survival. A series of computational tools predicted 34 SARS-CoV-2 encoded miRNAs and their putative targets in the host. Immune and apoptotic pathways were identified as most enriched pathways. Further investigation using a dataset of SARS-CoV-2 infected cells (available from public repository- GSE150392) revealed that 46 genes related to immune and apoptosis-related functions were deregulated. Of these 46 genes, 42 genes were identified to be significantly up-regulated and 4 genes were down-regulated. In silico analysis revealed all of the these significantly down-regulated genes to be putative targets of 9 out of 34 of our predicted viral miRNAs. Overall, 123 out of 324 genes that are differentially regulated in SARS-CoV2 infected cells, and also identified as putative targets of viral miRNAs, were found to be significantly down-regulated. KEGG pathway analysis using these genes revealed p53 signaling as the most enriched pathway - a pathway that is known to influence immune responses. This study thus provides the theoretical foundation for the underlying molecular mechanisms involved in progression of viral pathogenesis.
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