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About:
Competing endogenous RNA network profiling reveals novel host dependency factors required for MERS-CoV propagation
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wasabi.inria.fr
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Type:
Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Competing endogenous RNA network profiling reveals novel host dependency factors required for MERS-CoV propagation
Creator
Chan, Jasper Fuk-Woo
Yuen, Kwok-Yung
Zhang, Xi
Chu, Hin
Wang, Yixin
Yang, Dong
Zhu, Zheng
Shuai, Huiping
Wen, Lei
Yuan, Shuofeng
Yin, Feifei
Hou, Yuxin
Source
Medline; PMC
abstract
Circular RNAs (circRNAs) are an integral component of the host competitive endogenous RNA (ceRNA) network. These noncoding RNAs are characterized by their unique splicing reactions to form covalently closed loop structures and play important RNA regulatory roles in cells. Recent studies showed that circRNA expressions were perturbed in viral infections and circRNAs might serve as potential antiviral targets. We investigated the host ceRNA network changes and biological relevance of circRNAs in human lung adenocarcinoma epithelial (Calu-3) cells infected with the highly pathogenic Middle East respiratory syndrome coronavirus (MERS-CoV). A total of ≥49337 putative circRNAs were predicted. Among the 7845 genes which generated putative circRNAs, 147 (1.9%) of them each generated ≥30 putative circRNAs and were involved in various biological, cellular, and metabolic processes, including viral infections. Differential expression (DE) analysis showed that the proportion of DE circRNAs significantly (P < 0.001) increased at 24 h-post infection. These DE circRNAs were clustered into 4 groups according to their time-course expression patterns and demonstrated inter-cluster and intra-cluster variations in the predicted functions of their host genes. Our comprehensive circRNA-miRNA-mRNA network identified 7 key DE circRNAs involved in various biological processes upon MERS-CoV infection. Specific siRNA knockdown of two selected DE circRNAs (circFNDC3B and circCNOT1) significantly reduced MERS-CoV load and their target mRNA expression which modulates various biological pathways, including the mitogen-activated protein kinase (MAPK) and ubiquitination pathways. These results provided novel insights into the ceRNA network perturbations, biological relevance of circRNAs, and potential host-targeting antiviral strategies for MERS-CoV infection.
has issue date
2020-03-30
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)
bibo:doi
10.1080/22221751.2020.1738277
bibo:pmid
32223537
has license
cc-by
sha1sum (hex)
1cd1be88f8787d09aaf55dcc91418401b9965c72
schema:url
https://doi.org/10.1080/22221751.2020.1738277
resource representing a document's title
Competing endogenous RNA network profiling reveals novel host dependency factors required for MERS-CoV propagation
has PubMed Central identifier
PMC7170352
has PubMed identifier
32223537
schema:publication
Emerg Microbes Infect
resource representing a document's body
covid:1cd1be88f8787d09aaf55dcc91418401b9965c72#body_text
is
schema:about
of
named entity 'circRNA'
named entity 'perturbed'
named entity 'expressions'
named entity 'integral'
named entity 'expression'
named entity 'structures'
named entity 'siRNA'
named entity 'functions'
named entity 'Our'
named entity 'genes'
named entity 'reveals'
named entity 'LOAD'
named entity 'COURSE'
named entity 'ANALYSIS'
named entity 'VARIOUS'
named entity 'BIOLOGICAL PATHWAYS'
named entity 'EPITHELIAL'
named entity 'HIGHLY'
named entity 'TO FORM'
named entity 'MITOGEN-ACTIVATED PROTEIN KINASE'
named entity 'INCLUDING'
named entity 'PATHOGENIC'
named entity 'PATTERNS'
named entity 'EXPRESSION'
named entity 'COMPETITIVE'
named entity 'RNA'
named entity 'CLUSTERED'
named entity 'MRNA EXPRESSION'
named entity 'PROVIDED'
named entity 'SPECIFIC'
named entity 'studies'
named entity 'serve'
named entity 'involved'
named entity 'host'
named entity 'biological processes'
named entity 'infection'
named entity 'pathogenic'
named entity 'lung adenocarcinoma'
named entity 'antiviral'
named entity 'host'
named entity 'MAPK'
named entity 'potential'
named entity 'cellular'
named entity 'noncoding RNAs'
named entity 'Middle East respiratory syndrome coronavirus'
named entity 'covalently'
named entity 'siRNA'
named entity 'RNA'
named entity 'MERS-CoV'
named entity 'antiviral'
named entity 'circRNA'
named entity 'mRNA expression'
named entity 'lung adenocarcinoma'
named entity 'viral infections'
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named entity 'RNA'
named entity 'epithelial'
named entity 'viral infections'
named entity 'metabolic processes'
named entity 'hpi'
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named entity 'MERS-CoV'
named entity 'circRNA'
named entity 'miRNA'
named entity 'super-enhancer'
named entity 'differentially expressed'
named entity 'cell proliferation'
named entity 'viral proteins'
named entity 'miRNA'
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