Circular RNA-MicroRNA-MRNA interaction predictions in SARS-CoV-2 infection

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DEMİRCİ Y. M., SAÇAR DEMİRCİ M. D.

JOURNAL OF INTEGRATIVE BIOINFORMATICS, cilt.18, sa.1, ss.45-50, 2021 (ESCI) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 18 Sayı: 1
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1515/jib-2020-0047
  • Dergi Adı: JOURNAL OF INTEGRATIVE BIOINFORMATICS
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, EMBASE, INSPEC, MEDLINE, Directory of Open Access Journals
  • Sayfa Sayıları: ss.45-50
  • Anahtar Kelimeler: circRNA, gene regulation, machine learning, miRNA, SARS-CoV-2
  • Abdullah Gül Üniversitesi Adresli: Evet

Özet

Different types of noncoding RNAs like microRNAs (miRNAs) and circular RNAs (circRNAs) have been shown to take part in various cellular processes including post-transcriptional gene regulation during infection. MiRNAs are expressed by more than 200 organisms ranging from viruses to higher eukaryotes. Since miRNAs seem to be involved in host-pathogen interactions, many studies attempted to identify whether human miRNAs could target severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) mRNAs as an antiviral defence mechanism. In this work, a machine learning based miRNA analysis work flow was developed to predict differential expression patterns of human miRNAs during SARS-CoV-2 infection. In order to obtain the graphical representation of miRNA hairpins, 36 features were defined based on the secondary structures. Moreover, potential targeting interactions between human circRNAs and miRNAs as well as human miRNAs and viral mRNAs were investigated.