Computationally predicted SARS-COV-2 encoded microRNAs target NFKB, JAK/STAT and TGFB signaling pathways

Basit Öğe Kaydı
dc.authoridKorkmaz, Ertan Mahir/0000-0003-0699-1354
dc.authoridBudak, Mahir/0000-0001-5610-486X
dc.authoridaydemir, merve nur/0000-0001-6328-626X
dc.contributor.authorAydemir, Merve Nur
dc.contributor.authorAydemir, Habes Bilal
dc.contributor.authorKorkmaz, Ertan Mahir
dc.contributor.authorBudak, Mahir
dc.contributor.authorCekin, Nilgun
dc.contributor.authorPinarbasi, Ergun
dc.date.accessioned2024-10-26T18:07:51Z
dc.date.available2024-10-26T18:07:51Z
dc.date.issued2021
dc.departmentSivas Cumhuriyet Üniversitesi
dc.description.abstractRecently an outbreak that emerged in Wuhan, China in December 2019, spread to the whole world in a short time and killed >1,410,000 people. It was determined that a new type of beta coronavirus called severe acute respiratory disease coronavirus type 2 (SARS-CoV-2) was causative agent of this outbreak and the disease caused by the virus was named as coronavirus disease 19 (COVID19). Despite the information obtained from the viral genome structure, many aspects of the virus-host interactions during infection is still unknown. In this study we aimed to identify SARS-CoV-2 encoded microRNAs and their cellular targets. We applied a computational method to predict miRNAs encoded by SARS-CoV-2 along with their putative targets in humans. Targets of predicted miRNAs were clustered into groups based on their biological processes, molecular function, and cellular compartments using GO and PANTHER. By using KEGG pathway enrichment analysis top pathways were identified. Finally, we have constructed an integrative pathway network analysis with target genes. We identified 40 SARS-CoV-2 miRNAs and their regulated targets. Our analysis showed that targeted genes including NFKB1, NFKBIE, JAK1-2, STAT3-4, STAT5B, STAT6, SOCS1-6, IL2, IL8, IL10, IL17, TGFBR1-2, SMAD2-4, HDAC1-6 and JARID1A-C, JARID2 play important roles in NFKB, JAK/STAT and TGFB signaling pathways as well as cells' epigenetic regulation pathways. Our results may help to understand virus-host interaction and the role of viral miRNAs during SARS-CoV-2 infection. As there is no current drug and effective treatment available for COVID19, it may also help to develop new treatment strategies.
dc.identifier.doi10.1016/j.genrep.2020.101012
dc.identifier.issn2452-0144
dc.identifier.pmid33398248
dc.identifier.scopus2-s2.0-85098690036
dc.identifier.scopusqualityQ4
dc.identifier.urihttps://doi.org/10.1016/j.genrep.2020.101012
dc.identifier.urihttps://hdl.handle.net/20.500.12418/29705
dc.identifier.volume22
dc.identifier.wosWOS:000621091100024
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofGene Reports
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectSARS-CoV-2
dc.subjectmiRNA
dc.subjectNFKB
dc.subjectJAK/STAT
dc.subjectTGFB
dc.titleComputationally predicted SARS-COV-2 encoded microRNAs target NFKB, JAK/STAT and TGFB signaling pathways
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
PubMed İndeksli Yayınlar Koleksyonu
Scopus İndeksli Yayınlar Koleksiyonu