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In Silico and In Vitro Analyses Validate Human MicroRNAs Targeting the SARS-CoV-2 3'-UTR.

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TLDR
In this article, the authors carried out a bioinformatics screening to search for endogenous human microRNAs targeting the 3'-UTR of SARS-CoV-2.
Abstract
COVID-19 pandemic is caused by betacoronavirus SARS-CoV-2. The genome of this virus is composed of a single strand of RNA with 5' and 3'-UTR flanking a region of protein-coding ORFs closely resembling cells' mRNAs. MicroRNAs are endogenous post-transcriptional regulators that target mRNA to modulate protein expression and mediate cellular functions, including antiviral defense. In the present study, we carried out a bioinformatics screening to search for endogenous human microRNAs targeting the 3'-UTR of SARS-CoV-2. Results from the computational techniques allowed us to identify 10 potential candidates. The capacity of 3 of them, together with hsa-miR-138-5p, to target the SARS-CoV-2 3'-UTR was validated in vitro by gene reporter assays. Available information indicates that two of these microRNAs, namely, hsa-miR-3941 and hsa-miR-138-5p, combine effective targeting of SARS-CoV-2 genome with complementary antiviral or protective effects in the host cells that make them potential candidates for therapeutic treatment of most, if not all, COVID-19 variants known to date. All information obtained while conducting the present analysis is available at Open Science Framework repository.

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miRNA expression in COVID-19

TL;DR: In this article , the authors summarized the data about dysregulation of miRNAs in COVID-19 and evaluated the immune-related aspect of this disorder to identify the host-related factors that affect the course of COVID19.
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In vitro induction of interleukin-8 by SARS-CoV-2 Spike protein is inhibited in bronchial epithelial IB3-1 cells by a miR-93-5p agomiR.

TL;DR: In this article, the authors showed that the release of key proteins of the COVID-19 "cytokine storm" can be inhibited by mimicking the biological activity of microRNAs.
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Co-Regulation of Protein Coding Genes by Transcription Factor and Long Non-Coding RNA in SARS-CoV-2 Infected Cells: An in Silico Analysis

TL;DR: In this paper, the functional role and mechanism of transcriptional regulation of deregulated genes in COVID-19 patients were investigated and it was observed that 66 lncRNA and 5491 protein coding gene (PCG) were deregulated in more than one experimental condition.
Journal ArticleDOI

MicroRNAs as Potential Tools for Predicting Cancer Patients’ Susceptibility to SARS-CoV-2 Infection and Vaccination Response

TL;DR: A miRNA profile of seven SARS-CoV-2-related miRNAs that are deregulated in a high number of cancers and have the potential to be used as prognostic biomarkers to stratify cancer patients are proposed.
Journal ArticleDOI

Host microRNAs exhibit differential propensity to interact with SARS-CoV-2 and variants of concern

TL;DR: In this paper , the authors systematically examined the complete repertoire of human miRNAs for potential binding sites on SARS-CoV-2 Wuhan-Hu-1, Beta, Delta, and Omicron.
References
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Journal ArticleDOI

Clustal w: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice

TL;DR: The sensitivity of the commonly used progressive multiple sequence alignment method has been greatly improved and modifications are incorporated into a new program, CLUSTAL W, which is freely available.
Journal ArticleDOI

miRBase: annotating high confidence microRNAs using deep sequencing data.

TL;DR: An update of the miRBase database is described, including the collation and use of deep sequencing data sets to assign levels of confidence to miR base entries, and a high confidence subset of miR Base entries are provided, based on the pattern of mapped reads.
Journal ArticleDOI

Fast and effective prediction of microRNA/target duplexes

TL;DR: A program is presented, RNA-hybrid, that predicts multiple potential binding sites of miRNAs in large target RNAs and applied this method to the prediction of Drosophila miRNA targets in 3'UTRs and coding sequence.
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