Computational Analysis of MicroRNA-Mediated Interactions in SARS-CoV Infection

Loading...
Publication Logo

Date

2020

Journal Title

Journal ISSN

Volume Title

Publisher

PeerJ Inc

Open Access Color

GOLD

Green Open Access

Yes

OpenAIRE Downloads

74

OpenAIRE Views

200

Publicly Funded

No
Impulse
Top 0.1%
Influence
Top 10%
Popularity
Top 1%

Research Projects

Journal Issue

Abstract

MicroRNAs (miRNAs) are post-transcriptional regulators of gene expression found in more than 200 diverse organisms. Although it is still not fully established if RNA viruses could generate miRNAs, there are examples of miRNA like sequences from RNA viruses with regulatory functions. In the case of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), there are several mechanisms that would make miRNAs impact the virus, like interfering with viral replication, translation and even modulating the host expression. In this study, we performed a machine learning based miRNA prediction analysis for the SARS-CoV-2 genome to identify miRNA-like hairpins and searched for potential miRNA-based interactions between the viral miRNAs and human genes and human miRNAs and viral genes. Overall, 950 hairpin structured sequences were extracted from the virus genome and based on the prediction results, 29 of them could be precursor miRNAs. Targeting analysis showed that 30 viral mature miRNA-like sequences could target 1,367 different human genes. PANTHER gene function analysis results indicated that viral derived miRNA candidates could target various human genes involved in crucial cellular processes including transcription, metabolism, defense system and several signaling pathways such as Wnt and EGFR signalings. Protein class-based grouping of targeted human genes showed that host transcription might be one of the main targets of the virus since 96 genes involved in transcriptional processes were potential targets of predicted viral miRNAs. For instance, basal transcription machinery elements including several components of human mediator complex (MED1, MED9, MED 12L, MED 19), basal transcription factors such as TAF4, TAF5, TAF7L and site-specific transcription factors such as STATI were found to be targeted. In addition, many known human miRNAs appeared to be able to target viral genes involved in viral life cycle such as S, M, N, E proteins and ORF lab, ORF3a, ORF8, ORF7a and ORF10. Considering the fact that miRNA-based therapies have been paid attention, based on the findings of this study, comprehending mode of actions of miRNAs and their possible roles during SARS-CoV-2 infections could create new opportunities for the development and improvement of new therapeutics.

Description

Adan, Aysun/0000-0002-3747-8580; Sacar Demirci, Muserref Duygu/0000-0003-2012-0598

Keywords

SARS-CoV-2, MicroRNA, COVID19, Host-Virus Interaction, SARS-CoV-2, COVID19, QH301-705.5, Bioinformatics, R, MicroRNA, Host-virus interaction, Medicine, COVID-19 ; Host–virus interaction ; MicroRNA ; SARS-CoV-2, Biology (General), Host–virus interaction

Fields of Science

0301 basic medicine, 03 medical and health sciences

Citation

WoS Q

Q2

Scopus Q

Q3
OpenCitations Logo
OpenCitations Citation Count
168

Source

PEERJ

Volume

8

Issue

Start Page

e9369

End Page

PlumX Metrics
Citations

Scopus : 155

PubMed : 130

Patent Family : 1

Captures

Mendeley Readers : 258

Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
13.4221
Altmetrics Badge

Sustainable Development Goals

3

GOOD HEALTH AND WELL-BEING
GOOD HEALTH AND WELL-BEING Logo