Evidence map›Paper›PMID 32983652›Full record

ArticlePeerJ2020

Potential role of cellular miRNAs in coronavirus-host interplay.

Stepan Nersisyan, Narek Engibaryan, Aleksandra Gorbonos, Ksenia Kirdey, Alexey Makhonin, Alexander Tonevitsky

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

66 citing papers in PubMed, 1 synthesis or guideline pooled it, 101 citations in OpenAlex.

  1. The role of microRNAs in modulating SARS-CoV-2 infection in human cells: a systematic review.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2021
    Pooled it
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  9. Association of plasma microRNAs with COVID-19 severity and outcome.Journal, genetic engineering & biotechnology · 2024
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6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Stepan NersisyanFaculty of Biology and Biotechnology, HSE University, Moscow, Russia.
Narek EngibaryanFaculty of Biology and Biotechnology, HSE University, Moscow, Russia.ORCID 0000-0003-3524-8586
Aleksandra GorbonosFaculty of Biology and Biotechnology, HSE University, Moscow, Russia.
Ksenia KirdeyFaculty of Biology and Biotechnology, HSE University, Moscow, Russia.
Alexey MakhoninFaculty of Biology and Biotechnology, HSE University, Moscow, Russia.ORCID 0000-0002-5512-6757
Alexander TonevitskyFaculty of Biology and Biotechnology, HSE University, Moscow, Russia.
National Research University Higher School of Economics · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Host miRNAs are known as important regulators of virus replication and pathogenesis. They can interact with various viruses through several possible mechanisms including direct binding of viral RNA. Identification of human miRNAs involved in coronavirus-host interplay becomes important due to the ongoing COVID-19 pandemic. In this article we performed computational prediction of high-confidence direct interactions between miRNAs and seven human coronavirus RNAs. As a result, we identified six miRNAs (miR-21-3p, miR-195-5p, miR-16-5p, miR-3065-5p, miR-424-5p and miR-421) with high binding probability across all analyzed viruses. Further bioinformatic analysis of binding sites revealed high conservativity of miRNA binding regions within RNAs of human coronaviruses and their strains. In order to discover the entire miRNA-virus interplay we further analyzed lungs miRNome of SARS-CoV infected mice using publicly available miRNA sequencing data. We found that miRNA miR-21-3p has the largest probability of binding the human coronavirus RNAs and being dramatically up-regulated in mouse lungs during infection induced by SARS-CoV.

Indexed as

CoronavirusCOVID-19miR-16-5pmiR-195-5pmiR-21-3pmiR-3065-5pmiR-421miR-424-5pmiRNASARS-CoV-2

Identifiers

PMID32983652
PMCPMC7497610
OpenAlexW3086304026

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.