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

OpenAlex FWCI
13.4221
Sustainable Development Goals
3
GOOD HEALTH AND WELL-BEING


