Статья

Potential role of cellular miRNAs in coronavirus-host interplay

S. Nersisyan, N. Engibaryan, A. Gorbonos, K. Kirdey, A. Makhonin, A. Tonevitsky,
2021

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. Copyright 2020 Nersisyan et al.

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  • 1. Version of Record от 2021-04-27

Метаданные

Об авторах
  • S. Nersisyan
    Faculty of Biology and Biotechnology, HSE University, Moscow, Russian Federation
  • N. Engibaryan
  • A. Gorbonos
  • K. Kirdey
  • A. Makhonin
  • A. Tonevitsky
Название журнала
  • PeerJ
Том
  • 8
Страницы
  • -
Ключевые слова
  • microRNA; microRNA 16; microRNA 16 5p; microRNA 195 5p; microRNA 21; microRNA 21 3p; microRNA 3065 5p; microRNA 421; microRNA 424 5p; polyprotein; protein p53; transcription factor FOXO; unclassified drug; viral protein; Article; binding site; bioinformatics; consensus sequence; conserved sequence; Coronavirinae; coronavirus disease 2019; gene expression; hierarchical clustering; human; Human coronavirus 229E; Human coronavirus NL63; Human coronavirus OC43; Middle East respiratory syndrome coronavirus; mouse; mutation rate; nonhuman; RNA sequencing; SARS coronavirus; sequence alignment; Severe acute respiratory syndrome coronavirus 2; TGF beta signaling; upregulation; virus cell interaction
Издатель
  • PeerJ Inc.
Тип документа
  • journal article
Тип лицензии Creative Commons
  • CC
Правовой статус документа
  • Свободная лицензия
Источник
  • scopus